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2020 – today
- 2025
[j152]Huan Rong
, Zhongfeng Chen, Zhenyu Lu, Xiao-ke Xu, Kai Huang, Victor S. Sheng:
Pred-ID: Future event prediction based on event type schema mining by graph induction and deduction. Inf. Fusion 117: 102819 (2025)- 2024
- [j151]Chengjian Qiu, Yuqing Song, Yi Liu, Yan Zhu, Kai Han, Victor S. Sheng, Zhe Liu:
MMMViT: Multiscale multimodal vision transformer for brain tumor segmentation with missing modalities. Biomed. Signal Process. Control. 90: 105827 (2024) - [j150]Kai Han, Victor S. Sheng, Yuqing Song, Yi Liu, Chengjian Qiu, Siqi Ma, Zhe Liu:
Deep semi-supervised learning for medical image segmentation: A review. Expert Syst. Appl. 245: 123052 (2024) - [j149]Runze Ma, Shangnan Yin, Xia Feng, Huijuan Zhu, Victor S. Sheng:
A lightweight deep learning-based android malware detection framework. Expert Syst. Appl. 255: 124633 (2024) - [j148]Wei Fang, Yuxiang Fu, Victor S. Sheng:
FPS-U2Net: Combining U2Net and multi-level aggregation architecture for fire point segmentation in remote sensing images. Comput. Geosci. 189: 105628 (2024) - [j147]Fan Xu, Lei Zeng, Qi Huang, Keyu Yan, Mingwen Wang, Victor S. Sheng:
Hierarchical graph attention networks for multi-modal rumor detection on social media. Neurocomputing 569: 127112 (2024) - [j146]Shan Lei, Huanhuan Yuan, Pengpeng Zhao, Jianfeng Qu, Junhua Fang, Guanfeng Liu, Victor S. Sheng:
Improving graph collaborative filtering with multimodal-side-information-enriched contrastive learning. J. Intell. Inf. Syst. 62(1): 143-161 (2024) - [j145]Huan Rong, Shengjie Sun, Tinghuai Ma, Di Jin, Victor S. Sheng:
KGCDP-T: Interpreting knowledge graphs into text by content ordering and dynamic planning with three-level reconstruction. Knowl. Based Syst. 284: 111297 (2024) - [j144]Chongwen Lyu, Chengjian Qiu, Kai Han, Saisai Li, Victor S. Sheng, Huan Rong, Yuqing Song, Yi Liu, Zhe Liu:
Automatic medical report generation combining contrastive learning and feature difference. Knowl. Based Syst. 305: 112630 (2024) - [j143]Wei Fang, Yuxiang Fu, Victor S. Sheng:
Dual Backbone Interaction Network for Burned Area Segmentation in Optical Remote Sensing Images. IEEE Geosci. Remote. Sens. Lett. 21: 1-5 (2024) - [j142]Zhong Chen, Victor S. Sheng, Andrea Edwards, Kun Zhang:
Cost-sensitive sparse group online learning for imbalanced data streams. Mach. Learn. 113(7): 4407-4444 (2024) - [j141]Rasoul Kiani, Wei Jin, Victor S. Sheng:
Survey on extreme learning machines for outlier detection. Mach. Learn. 113(8): 5495-5531 (2024) - [j140]Zijian Ying, Jing Zhang, Qianmu Li, Ming Wu, Victor S. Sheng:
A Little Truth Injection But a Big Reward: Label Aggregation With Graph Neural Networks. IEEE Trans. Pattern Anal. Mach. Intell. 46(5): 3169-3182 (2024) - [j139]Lianyong Qi, Victor S. Sheng, Xiaolong Xu, Jinjun Chen:
Special Issue on "Ensuring security for artificial intelligence applications in mobile edge computing software systems". Softw. Pract. Exp. 54(9): 1593-1595 (2024) - [j138]Yuxiang Fu, Wei Fang, Victor S. Sheng:
Burned Area Segmentation in Optical Remote Sensing Images Driven by U-Shaped Multistage Masked Autoencoder. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17: 10770-10780 (2024) - [j137]Li Jia, Tinghuai Ma, Huan Rong, Victor S. Sheng, Xuejian Huang, Xintong Xie:
A Rearrangement and Restore-Based Mixer Model for Target-Oriented Multimodal Sentiment Classification. IEEE Trans. Artif. Intell. 5(6): 3109-3119 (2024) - [j136]Huan Rong, Zhongfeng Chen, Zhenyu Lu, Fan Xu, Victor S. Sheng:
Multization: Multi-Modal Summarization Enhanced by Multi-Contextually Relevant and Irrelevant Attention Alignment. ACM Trans. Asian Low Resour. Lang. Inf. Process. 23(5): 69 (2024) - [j135]Yunfei He, Yiwen Zhang, Fei Yang, Dengcheng Yan, Victor S. Sheng:
Label-Dependent Graph Neural Network. IEEE Trans. Comput. Soc. Syst. 11(2): 2990-3003 (2024) - [j134]Chuanjiu Wu, Huanhuan Yuan, Pengpeng Zhao, Jianfeng Qu, Victor S. Sheng, Guanfeng Liu:
Dual-Supervised Contrastive Learning for Bundle Recommendation. IEEE Trans. Comput. Soc. Syst. 11(3): 3955-3965 (2024) - [j133]Wei Fang, Liang Shen, Victor S. Sheng:
VRNet: A Vivid Radar Network for Precipitation Nowcasting. IEEE Trans. Geosci. Remote. Sens. 62: 1-11 (2024) - [j132]Qiang Zhou, Liangmin Wang, Huijuan Zhu, Tong Lu, Victor S. Sheng:
WF-Transformer: Learning Temporal Features for Accurate Anonymous Traffic Identification by Using Transformer Networks. IEEE Trans. Inf. Forensics Secur. 19: 30-43 (2024) - [j131]Li Ni, Hefei Xu, Yiwen Zhang, Wenjian Luo, Yingying Huang, Victor S. Sheng:
Local Overlapping Spatial-aware Community Detection. ACM Trans. Knowl. Discov. Data 18(3): 59:1-59:21 (2024) - [j130]Huan Rong, Xin Yu, Tinghuai Ma, Victor S. Sheng, Yang Zhou, Mznah Al-Rodhaan:
Three-stage Transferable and Generative Crowdsourced Comment Integration Framework Based on Zero- and Few-shot Learning with Domain Distribution Alignment. ACM Trans. Knowl. Discov. Data 18(3): 68:1-68:43 (2024) - [j129]Chao Long, Huanhuan Yuan, Junhua Fang, Xuefeng Xian, Guanfeng Liu, Victor S. Sheng, Pengpeng Zhao:
Learning Global and Multi-granularity Local Representation with MLP for Sequential Recommendation. ACM Trans. Knowl. Discov. Data 18(4): 87:1-87:15 (2024) - [j128]Huan Rong, Minfeng Qian, Tinghuai Ma, Di Jin, Victor S. Sheng:
CoBjeason: Reasoning Covered Object in Image by Multi-Agent Collaboration Based on Informed Knowledge Graph. ACM Trans. Knowl. Discov. Data 18(5): 116:1-116:56 (2024) - [j127]Xinru Liu, Yongjing Hao, Lei Zhao, Guanfeng Liu, Victor S. Sheng, Pengpeng Zhao:
LMACL: Improving Graph Collaborative Filtering with Learnable Model Augmentation Contrastive Learning. ACM Trans. Knowl. Discov. Data 18(7): 177 (2024) - [j126]Huan Rong, Gongchi Chen, Tinghuai Ma, Victor S. Sheng, Elisa Bertino:
FuFaction: Fuzzy Factual Inconsistency Correction on Crowdsourced Documents With Hybrid-Mask at the Hidden-State Level. IEEE Trans. Knowl. Data Eng. 36(1): 167-183 (2024) - [j125]Li Ni, Junnan Ge, Yiwen Zhang, Wenjian Luo, Victor S. Sheng:
Semi-Supervised Local Community Detection. IEEE Trans. Knowl. Data Eng. 36(2): 823-839 (2024) - [j124]Li Ni, Qiuyu Li, Yiwen Zhang, Wenjian Luo, Victor S. Sheng:
LSADEN: Local Spatial-Aware Community Detection in Evolving Geo-Social Networks. IEEE Trans. Knowl. Data Eng. 36(7): 3265-3280 (2024) - [j123]Huijuan Zhu, Xilong Chen, Liangmin Wang, Zhicheng Xu, Victor S. Sheng:
A Dynamic Analysis-Powered Explanation Framework for Malware Detection. IEEE Trans. Knowl. Data Eng. 36(12): 7483-7496 (2024) - [j122]Hanwen Du, Huanhuan Yuan, Pengpeng Zhao, Deqing Wang, Victor S. Sheng, Yanchi Liu, Guanfeng Liu, Lei Zhao:
Feature-Aware Contrastive Learning With Bidirectional Transformers for Sequential Recommendation. IEEE Trans. Knowl. Data Eng. 36(12): 8192-8205 (2024) - [j121]Jing Zhang, Ming Wu, Cangqi Zhou, Victor S. Sheng:
Active Crowdsourcing for Multilabel Annotation. IEEE Trans. Neural Networks Learn. Syst. 35(3): 3549-3559 (2024) - [j120]Huijuan Zhu, Mengzhen Xia, Liangmin Wang, Zhicheng Xu, Victor S. Sheng:
A Novel Knowledge Search Structure for Android Malware Detection. IEEE Trans. Serv. Comput. 17(6): 3052-3064 (2024) - [j119]Huijuan Zhu, Lei Yang, Liangmin Wang, Victor S. Sheng:
A Survey on Security Analysis Methods of Smart Contracts. IEEE Trans. Serv. Comput. 17(6): 4522-4539 (2024) - [c152]Zhenyu Xu, Victor S. Sheng:
Detecting AI-Generated Code Assignments Using Perplexity of Large Language Models. AAAI 2024: 23155-23162 - [c151]Liyuan Gao, Matthew Zhang, Victor S. Sheng:
Enhancing Transcription Factor Prediction through Multi-Task Learning (Student Abstract). AAAI 2024: 23500-23502 - [c150]Linpeng Sun, Victor S. Sheng:
DDViT: Double-Level Fusion Domain Adapter Vision Transformer (Student Abstract). AAAI 2024: 23661-23663 - [c149]Ruoyu Xu, Zhenyu Xu, Gaoxiang Li, Victor S. Sheng:
Bridging the Gap between Source Code and Requirements Using GPT (Student Abstract). AAAI 2024: 23686-23687 - [c148]Zhenyu Xu, Ruoyu Xu, Victor S. Sheng:
ChatGPT-Generated Code Assignment Detection Using Perplexity of Large Language Models (Student Abstract). AAAI 2024: 23688-23689 - [c147]Yongjing Hao, Fuzhen Zhuang, Deqing Wang, Guanfeng Liu, Victor S. Sheng, Pengpeng Zhao:
A General Strategy Graph Collaborative Filtering for Recommendation Unlearning. CIKM 2024: 799-808 - [c146]Huixin Zhan, Kun Zhang, Zhong Chen, Victor S. Sheng:
Defense Against Adversarial Attacks for Neural Representations of Text. HICSS 2024: 7592-7601 - [c145]Liyuan Gao, Huixin Zhan, Victor S. Sheng:
Exploring Task-Specific Dimensions in Word Embeddings Through Automatic Rule Learning. ICANN (4) 2024: 199-214 - [c144]Zhenyu Xu, Victor S. Sheng:
Towards Minimal Edits in Automated Program Repair: A Hybrid Framework Integrating Graph Neural Networks and Large Language Models. ICANN (5) 2024: 402-416 - [c143]Yongjing Hao, Pengpeng Zhao, Jianfeng Qu, Lei Zhao, Guanfeng Liu, Fuzhen Zhuang, Victor S. Sheng, Xiaofang Zhou:
Meta-optimized Structural and Semantic Contrastive Learning for Graph Collaborative Filtering. ICDE 2024: 679-691 - [c142]Yongjing Hao, Pengpeng Zhao, Junhua Fang, Jianfeng Qu, Guanfeng Liu, Fuzhen Zhuang, Victor S. Sheng, Xiaofang Zhou:
Meta-Optimized Joint Generative and Contrastive Learning for Sequential Recommendation. ICDE 2024: 705-718 - [c141]Zhenyu Xu, Ruoyu Xu, Victor S. Sheng:
Beyond Binary Classification: Customizable Text Watermark on Large Language Models. IJCNN 2024: 1-8 - [c140]Huixin Zhan, Liyuan Gao, Victor S. Sheng:
Privacy-Preserving Unsupervised Spherical Text Embeddings. IJCNN 2024: 1-8 - [c139]Zhong Chen, Yi He, Di Wu, Huixin Zhan, Victor S. Sheng, Kun Zhang:
Robust Sparse Online Learning for Data Streams with Streaming Features. SDM 2024: 181-189 - [c138]Xiuyuan Qin, Huanhuan Yuan, Pengpeng Zhao, Guanfeng Liu, Fuzhen Zhuang, Victor S. Sheng:
Intent Contrastive Learning with Cross Subsequences for Sequential Recommendation. WSDM 2024: 548-556 - [d1]Huijuan Zhu, Mengzhen Xia, Liangmin Wang, Zhicheng Xu, Victor S. Sheng:
Android malware detection dataset. IEEE DataPort, 2024
- [i31]Zhenyu Xu, Victor S. Sheng:
Signal Watermark on Large Language Models. CoRR abs/2410.06545 (2024) - [i30]Zhenyu Xu, Victor S. Sheng:
Multi-Task Program Error Repair and Explanatory Diagnosis. CoRR abs/2410.07271 (2024) - [i29]Zhenyu Xu, Victor S. Sheng:
LecPrompt: A Prompt-based Approach for Logical Error Correction with CodeBERT. CoRR abs/2410.08241 (2024) - [i28]Zhenyu Xu, Kun Zhang, Victor S. Sheng:
FreqMark: Frequency-Based Watermark for Sentence-Level Detection of LLM-Generated Text. CoRR abs/2410.10876 (2024) - [i27]Zhenyu Xu, Kun Zhang, Victor S. Sheng:
Logic Error Localization in Student Programming Assignments Using Pseudocode and Graph Neural Networks. CoRR abs/2410.21282 (2024) - [i26]Xin Zhang, Victor S. Sheng:
Wave Network: An Ultra-Small Language Model. CoRR abs/2411.02674 (2024) - [i25]Xin Zhang, Victor S. Sheng:
Neuro-Symbolic AI: Explainability, Challenges, and Future Trends. CoRR abs/2411.04383 (2024) - [i24]Xin Zhang, Victor S. Sheng:
Bridging the Gap: Representation Spaces in Neuro-Symbolic AI. CoRR abs/2411.04393 (2024) - [i23]Xin Zhang, Victor S. Sheng:
Token2Wave. CoRR abs/2411.06989 (2024) - [i22]Li Ni, Zhou Xie, Yiwen Zhang, Wenjian Luo, Victor S. Sheng:
Affiliation-based Local Community Detection across Multiple Networks. CoRR abs/2412.10690 (2024) - 2023
- [j118]Cheng-Jian Qiu, Zhe Liu, Yuqing Song, Jing Yin, Kai Han, Yan Zhu, Yi Liu, Victor S. Sheng:
RTUNet: Residual transformer UNet specifically for pancreas segmentation. Biomed. Signal Process. Control. 79(Part): 104173 (2023) - [j117]Xuesong Yan, Hao Zuo, Chengyu Hu, Wenyin Gong, Victor S. Sheng:
Load Optimization Scheduling of Chip Mounter Based on Hybrid Adaptive Optimization Algorithm. Complex Syst. Model. Simul. 3(1): 1-11 (2023) - [j116]Jieren Cheng, Xiulai Li, Xinbing Xu, Xiangyan Tang, Victor S. Sheng:
A Modified PointNet-Based DDoS Attack Classification and Segmentation in Blockchain. Comput. Syst. Sci. Eng. 47(1): 975-992 (2023) - [j115]Fan Xu, Victor S. Sheng, Mingwen Wang:
A Unified Perspective for Disinformation Detection and Truth Discovery in Social Sensing: A Survey. ACM Comput. Surv. 55(2): 6:1-6:33 (2023) - [j114]Xindong Wu, Hao Chen, Chenyang Bu, Shengwei Ji, Zan Zhang, Victor S. Sheng:
HUSS: A Heuristic Method for Understanding the Semantic Structure of Spreadsheets. Data Intell. 5(3): 537-559 (2023) - [j113]Ming Wu, Qianmu Li, Fei Yang, Jing Zhang, Victor S. Sheng, Jun Hou:
Learning from biased crowdsourced labeling with deep clustering. Expert Syst. Appl. 211: 118608 (2023) - [j112]Huijuan Zhu, Wei Gu, Liangmin Wang, Zhicheng Xu, Victor S. Sheng:
Android malware detection based on multi-head squeeze-and-excitation residual network. Expert Syst. Appl. 212: 118705 (2023) - [j111]Han Li, Huan Rong, Victor S. Sheng, Yuqing Song, Cheng-Jian Qiu, Kai Han, Zhe Liu:
Cascaded multi-point regression Network for high-quality generic lesion detection. Expert Syst. Appl. 214: 119141 (2023) - [j110]Huijuan Zhu, Huahui Wei, Liangmin Wang, Zhicheng Xu, Victor S. Sheng:
An effective end-to-end android malware detection method. Expert Syst. Appl. 218: 119593 (2023) - [j109]Jie Chen, Xuefeng Xi, Victor S. Sheng, Zhiming Cui:
Randomly Wired Graph Neural Network for Chinese NER. Expert Syst. Appl. 227: 120245 (2023) - [j108]Hui-juan Zhu, Yang Li, Liang-min Wang, Victor S. Sheng:
A multi-model ensemble learning framework for imbalanced android malware detection. Expert Syst. Appl. 234: 120952 (2023) - [j107]Liangmin Wang, Victor S. Sheng, Boris Düdder, Haiqin Wu, Huijuan Zhu:
Security and privacy issues in blockchain and its applications. IET Blockchain 3(4): 169-171 (2023) - [j106]Wei Fang, Xuelei Jia, Wen Zhang, Victor S. Sheng:
A New Distributed Log Anomaly Detection Method based on Message Middleware and ATT-GRU. KSII Trans. Internet Inf. Syst. 17(2): 486-503 (2023) - [j105]Hongyan Zhang, Victor S. Sheng, Xuefeng Xi, Zhiming Cui, Huan Rong:
Overview of RGBD semantic segmentation based on deep learning. J. Ambient Intell. Humaniz. Comput. 14(10): 13627-13645 (2023) - [j104]Zhong Chen, Victor S. Sheng, Andrea Edwards, Kun Zhang:
An effective cost-sensitive sparse online learning framework for imbalanced streaming data classification and its application to online anomaly detection. Knowl. Inf. Syst. 65(1): 59-87 (2023) - [j103]Liyuan Gao, Huixin Zhan, Victor S. Sheng:
Mitigate Gender Bias Using Negative Multi-task Learning. Neural Process. Lett. 55(8): 11131-11146 (2023) - [j102]Yongjing Hao, Jun Ma, Pengpeng Zhao, Guanfeng Liu, Xuefeng Xian, Lei Zhao, Victor S. Sheng:
Multi-dimensional Graph Neural Network for Sequential Recommendation. Pattern Recognit. 139: 109504 (2023) - [j101]Jing Zhang, Sunyue Xu, Victor S. Sheng:
Crowdmeta: Crowdsourcing truth inference with meta-Knowledge transfer. Pattern Recognit. 140: 109525 (2023) - [j100]Wei Fang, Lin Pang, Victor S. Sheng, Qiguang Wang:
STUNNER: Radar Echo Extrapolation Model Based on Spatiotemporal Fusion Neural Network. IEEE Trans. Geosci. Remote. Sens. 61: 1-14 (2023) - [j99]Yunyi Li, Yongjing Hao, Pengpeng Zhao, Guanfeng Liu, Yanchi Liu, Victor S. Sheng, Xiaofang Zhou:
Edge-enhanced Global Disentangled Graph Neural Network for Sequential Recommendation. ACM Trans. Knowl. Discov. Data 17(6): 80:1-80:22 (2023) - [j98]Jiabo Zhuang, Shunmei Meng, Jing Zhang, Victor S. Sheng:
Contrastive Learning Based Graph Convolution Network for Social Recommendation. ACM Trans. Knowl. Discov. Data 17(8): 120:1-120:21 (2023) - [j97]Qingren Wang, Chengcheng Zhu, Yiwen Zhang, Hong Zhong, Jinqin Zhong, Victor S. Sheng:
Short Text Topic Learning Using Heterogeneous Information Network. IEEE Trans. Knowl. Data Eng. 35(5): 5269-5281 (2023) - [j96]Yongjing Hao, Tingting Zhang, Pengpeng Zhao, Yanchi Liu, Victor S. Sheng, Jiajie Xu, Guanfeng Liu, Xiaofang Zhou:
Feature-Level Deeper Self-Attention Network With Contrastive Learning for Sequential Recommendation. IEEE Trans. Knowl. Data Eng. 35(10): 10112-10124 (2023) - [j95]Yaxing Fang, Pengpeng Zhao, Guanfeng Liu, Yanchi Liu, Victor S. Sheng, Lei Zhao, Xiaofang Zhou:
Quaternion-based graph convolution network for recommendation. World Wide Web (WWW) 26(5): 2835-2854 (2023) - [j94]Huiwang Zhang, Pengpeng Zhao, Xuefeng Xian, Victor S. Sheng, Yongjing Hao, Zhiming Cui:
Click is not equal to purchase: multi-task reinforcement learning for multi-behavior recommendation. World Wide Web (WWW) 26(6): 4153-4172 (2023) - [c137]Huixin Zhan, Victor S. Sheng:
Privacy-Preserving Representation Learning for Text-Attributed Networks with Simplicial Complexes. AAAI 2023: 16143-16144 - [c136]Liyuan Gao, Huixin Zhan, Austin Chen, Victor S. Sheng:
Towards Fair and Selectively Privacy-Preserving Models Using Negative Multi-Task Learning (Student Abstract). AAAI 2023: 16214-16215 - [c135]Ruoyu Xu, Gaoxiang Li, Wei Jin, Austin Chen, Victor S. Sheng:
ACCD: An Adaptive Clustering-Based Collusion Detector in Crowdsourcing (Student Abstract). AAAI 2023: 16370-16371 - [c134]Zhenyu Xu, Victor S. Sheng, Keyi Lu:
Logic Error Localization and Correction with Machine Learning (Student Abstract). AAAI 2023: 16372-16373 - [c133]Huixin Zhan, Kun Zhang, Keyi Lu, Victor S. Sheng:
Measuring the Privacy Leakage via Graph Reconstruction Attacks on Simplicial Neural Networks (Student Abstract). AAAI 2023: 16380-16381 - [c132]Zhenyu Xu, Victor S. Sheng:
Enhancing Logic Error Detection Through Program Pseudocodes. APSEC 2023: 643-644 - [c131]Liyuan Gao, Kyler Shu, Jun Zhang, Victor S. Sheng:
Explainable Transcription Factor Prediction with Protein Language Models. BIBM 2023: 853-856 - [c130]Mohammad Abu-Shaira, Alejandro Rodriguez, Greg Speegle, Victor S. Sheng, Ishfaq Ahmad:
OLR-WA: Online Weighted Average Linear Regression in Multivariate Data Streams. IEEE Big Data 2023: 1039-1046 - [c129]Himel Das Gupta, Victor S. Sheng:
Neurosymbolic Knowledge Distillation. IEEE Big Data 2023: 5243-5249 - [c128]Huixin Zhan, Kun Zhang, Zhong Chen, Victor S. Sheng:
Simplex2vec Backward: From Vectors Back to Simplicial Complex. CIKM 2023: 4405-4409 - [c127]Huixin Zhan, Liyuan Gao, Kun Zhang, Zhong Chen, Victor S. Sheng:
Defending the Graph Reconstruction Attacks for Simplicial Neural Networks. DSAA 2023: 1-9 - [c126]Tianshi Che, Ji Liu, Yang Zhou, Jiaxiang Ren, Jiwen Zhou, Victor S. Sheng, Huaiyu Dai, Dejing Dou:
Federated Learning of Large Language Models with Parameter-Efficient Prompt Tuning and Adaptive Optimization. EMNLP 2023: 7871-7888 - [c125]Xinyu Du, Huanhuan Yuan, Pengpeng Zhao, Junhua Fang, Guanfeng Liu, Yanchi Liu, Victor S. Sheng, Xiaofang Zhou:
Contrastive Enhanced Slide Filter Mixer for Sequential Recommendation. ICDE 2023: 2673-2685 - [c124]Huan Rong, Victor S. Sheng, Tinghuai Ma, Yang Zhou, Mznah Al-Rodhaan:
A Self-play and Sentiment-Emphasized Comment Integration Framework Based on Deep Q-Learning in a Crowdsourcing Scenario : Extended Abstract. ICDE 2023: 3847-3848 - [c123]Ruoyu Xu, Gaoxiang Li, Wei Jin, Austin Chen, Victor S. Sheng:
Adaptive Clustering-Based Collusion Detection in Crowdsourcing. ICIC (4) 2023: 261-275 - [c122]Shuohui Hao, Zhe Liu, Yuqing Song, Yi Liu, Kai Han, Victor S. Sheng, Yan Zhu:
Sample Selection Based on Uncertainty for Combating Label Noise. ICONIP (9) 2023: 62-74 - [c121]Huanhuan Yuan, Pengpeng Zhao, Xuefeng Xian, Guanfeng Liu, Yanchi Liu, Victor S. Sheng, Lei Zhao:
Sequential Recommendation with Probabilistic Logical Reasoning. IJCAI 2023: 2432-2440 - [c120]Huijuan Zhu, Kaixuan Yang, Liangmin Wang, Zhicheng Xu, Victor S. Sheng:
GraBit: A Sequential Model-Based Framework for Smart Contract Vulnerability Detection. ISSRE 2023: 568-577 - [c119]Hanwen Du, Huanhuan Yuan, Pengpeng Zhao, Fuzhen Zhuang, Guanfeng Liu, Lei Zhao, Yanchi Liu, Victor S. Sheng:
Ensemble Modeling with Contrastive Knowledge Distillation for Sequential Recommendation. SIGIR 2023: 58-67 - [c118]Xinyu Du, Huanhuan Yuan, Pengpeng Zhao, Jianfeng Qu, Fuzhen Zhuang, Guanfeng Liu, Yanchi Liu, Victor S. Sheng:
Frequency Enhanced Hybrid Attention Network for Sequential Recommendation. SIGIR 2023: 78-88 - [c117]Xiuyuan Qin, Huanhuan Yuan, Pengpeng Zhao, Junhua Fang, Fuzhen Zhuang, Guanfeng Liu, Yanchi Liu, Victor S. Sheng:
Meta-optimized Contrastive Learning for Sequential Recommendation. SIGIR 2023: 89-98 - [e3]Victor S. Sheng, Chindo Hicks, Charles Ling, Vijay Raghavan, Xindong Wu:
IEEE International Conference on Knowledge Graph, ICKG 2023, Shanghai, China, December 1-2, 2023. IEEE 2023, ISBN 979-8-3503-0709-2 [contents] - [i21]Huixin Zhan, Kun Zhang, Keyi Lu, Victor S. Sheng:
Measuring the Privacy Leakage via Graph Reconstruction Attacks on Simplicial Neural Networks (Student Abstract). CoRR abs/2302.04373 (2023) - [i20]Huixin Zhan, Victor S. Sheng:
Privacy-Preserving Representation Learning for Text-Attributed Networks with Simplicial Complexes. CoRR abs/2302.04383 (2023) - [i19]Xiuyuan Qin, Huanhuan Yuan, Pengpeng Zhao, Junhua Fang, Fuzhen Zhuang, Guanfeng Liu, Yanchi Liu, Victor S. Sheng:
Meta-optimized Contrastive Learning for Sequential Recommendation. CoRR abs/2304.07763 (2023) - [i18]Huanhuan Yuan, Pengpeng Zhao, Xuefeng Xian, Guanfeng Liu, Yanchi Liu, Victor S. Sheng, Lei Zhao:
Sequential Recommendation with Probabilistic Logical Reasoning. CoRR abs/2304.11383 (2023) - [i17]Hanwen Du, Huanhuan Yuan, Pengpeng Zhao, Fuzhen Zhuang, Guanfeng Liu, Lei Zhao, Yanchi Liu, Victor S. Sheng:
Ensemble Modeling with Contrastive Knowledge Distillation for Sequential Recommendation. CoRR abs/2304.14668 (2023) - [i16]Xinyu Du, Huanhuan Yuan, Pengpeng Zhao, Junhua Fang, Guanfeng Liu, Yanchi Liu, Victor S. Sheng, Xiaofang Zhou:
Contrastive Enhanced Slide Filter Mixer for Sequential Recommendation. CoRR abs/2305.04322 (2023) - [i15]Yongjing Hao, Pengpeng Zhao, Junhua Fang, Jianfeng Qu, Guanfeng Liu, Fuzhen Zhuang, Victor S. Sheng, Xiaofang Zhou:
Meta-optimized Joint Generative and Contrastive Learning for Sequential Recommendation. CoRR abs/2310.13925 (2023) - [i14]Xiuyuan Qin, Huanhuan Yuan, Pengpeng Zhao, Guanfeng Liu, Fuzhen Zhuang, Victor S. Sheng:
Intent Contrastive Learning with Cross Subsequences for Sequential Recommendation. CoRR abs/2310.14318 (2023) - [i13]Tianshi Che, Ji Liu, Yang Zhou, Jiaxiang Ren, Jiwen Zhou, Victor S. Sheng, Huaiyu Dai, Dejing Dou:
Federated Learning of Large Language Models with Parameter-Efficient Prompt Tuning and Adaptive Optimization. CoRR abs/2310.15080 (2023) - 2022
- [j93]Qingren Wang, Min Zhang, Yiwen Zhang, Jinqin Zhong, Victor S. Sheng:
Location-based deep factorization machine model for service recommendation. Appl. Intell. 52(9): 9899-9918 (2022) - [j92]Wei Fang, Enming Gu, Weinan Yi, Weiqing Wang, Victor S. Sheng:
A New Method of Image Restoration Technology Based on WGAN. Comput. Syst. Sci. Eng. 41(2): 689-698 (2022) - [j91]Can Xiao, Feng Li, Dengyong Zhang, Pu Huang, Xiangling Ding, Victor S. Sheng:
Image Inpainting Detection Based on High-Pass Filter Attention Network. Comput. Syst. Sci. Eng. 43(3): 1145-1154 (2022) - [j90]Zhe Liu, Jun Su, Ruihao Wang, Rui Jiang, Yu-Qing Song, Dengyong Zhang, Yan Zhu, Deqi Yuan, Qingsong Gan, Victor S. Sheng:
Pancreas Co-segmentation based on dynamic ROI extraction and VGGU-Net. Expert Syst. Appl. 192: 116444 (2022) - [j89]Cangqi Zhou, Jing Zhang, Kaisheng Gao, Qianmu Li, Dianming Hu, Victor S. Sheng:
Bipartite network embedding with Symmetric Neighborhood Convolution. Expert Syst. Appl. 198: 116757 (2022) - [j88]Qingren Wang, Jian Lu, Wei Li, Jing Zhang, Victor S. Sheng:
Homophily-aware correction framework for crowdsourced labels using heterogeneous information network. Expert Syst. Appl. 200: 116896 (2022) - [j87]Dengyong Zhang, Pengjie Wu, Feng Li, Wenjie Zhu, Victor S. Sheng:
Cascaded-Hop For DeepFake Videos Detection. KSII Trans. Internet Inf. Syst. 16(5): 1671-1686 (2022) - [j86]Jingxin Liu, Jieren Cheng, Xin Peng, Zeli Zhao, Xiangyan Tang, Victor S. Sheng:
MSFM: Multi-view Semantic Feature Fusion Model for Chinese Named Entity Recognition. KSII Trans. Internet Inf. Syst. 16(6): 1833-1848 (2022) - [j85]Xusheng Ai, Victor S. Sheng, Chunhua Li:
A MBGD enhancement method for imbalance smoothing. Multim. Tools Appl. 81(17): 24225-24243 (2022) - [j84]Wei Fang, Weinan Yi, Lin Pang, Victor S. Sheng:
Study of cross-domain person re-identification based on DCGAN. Multim. Tools Appl. 81(25): 36551-36565 (2022) - [j83]Lei Shu, Gerhard P. Hancke, Victor S. Sheng, Liangmin Wang:
Guest Editorial: Reliability and Security for Intelligent Wireless Sensing and Control Systems. IEEE Trans. Ind. Informatics 18(4): 2651-2655 (2022) - [j82]Huan Rong, Victor S. Sheng, Tinghuai Ma, Yang Zhou, Mznah Al-Rodhaan:
A Self-Play and Sentiment-Emphasized Comment Integration Framework Based on Deep Q-Learning in a Crowdsourcing Scenario. IEEE Trans. Knowl. Data Eng. 34(3): 1021-1037 (2022) - [j81]Pengpeng Zhao, Anjing Luo, Yanchi Liu, Jiajie Xu, Zhixu Li, Fuzhen Zhuang, Victor S. Sheng, Xiaofang Zhou:
Where to Go Next: A Spatio-Temporal Gated Network for Next POI Recommendation. IEEE Trans. Knowl. Data Eng. 34(5): 2512-2524 (2022) - [j80]Huijuan Zhu, Liang-Min Wang, Sheng Zhong, Yang Li, Victor S. Sheng:
A Hybrid Deep Network Framework for Android Malware Detection. IEEE Trans. Knowl. Data Eng. 34(12): 5558-5570 (2022) - [j79]Gang Liu, Zhaobin Liu, Victor S. Sheng, Liang Zhang, Yuanfeng Yang:
A Novel Energy-Efficient, Static Scenario-Oriented Routing Method of Wireless Sensor Network Based on Edge Computing. Wirel. Commun. Mob. Comput. 2022: 3450361:1-3450361:25 (2022) - [c116]Hui Shi, Hanwen Du, Yongjing Hao, Victor S. Sheng, Zhiming Cui, Pengpeng Zhao:
Self-guided Contrastive Learning for Sequential Recommendation. APWeb/WAIM (3) 2022: 72-86 - [c115]Zhong Chen, Huixin Zhan, Victor S. Sheng, Andrea Edwards, Kun Zhang:
Proximal Cost-sensitive Sparse Group Online Learning. IEEE Big Data 2022: 495-504 - [c114]Hanwen Du, Hui Shi, Pengpeng Zhao, Deqing Wang, Victor S. Sheng, Yanchi Liu, Guanfeng Liu, Lei Zhao:
Contrastive Learning with Bidirectional Transformers for Sequential Recommendation. CIKM 2022: 396-405 - [c113]Huixin Zhan, Kun Zhang, Chenyi Hu, Victor S. Sheng:
New Threats to Privacy-preserving Text Representations. HICSS 2022: 1-10 - [c112]Xindong Wu, Hao Chen, Chenyang Bu, Shengwei Ji, Zan Zhang, Victor S. Sheng:
HUSS: A Heuristic Method for Understanding the Semantic Structure of Spreadsheets. ICKG 2022: 329-336 - [c111]Yuanshen Li, Jieren Cheng, Hui Li, Yuming Yuan, Victor S. Sheng:
A Survey of Consensus Mechanism Based on Reputation Model. ICAIS (3) 2022: 208-221 - [c110]Xiaolong Chen, Jieren Cheng, Jingxin Liu, Wenghang Xu, Shuai Hua, Zhu Tang, Victor S. Sheng:
A Survey of Multi-label Text Classification Based on Deep Learning. ICAIS (1) 2022: 443-456 - [c109]Hao Guo, Jieren Cheng, Janghao Wang, Tao Chen, Yuming Yuan, Hui Li, Victor S. Sheng:
IoT Data Blockchain-Based Transaction Model Using Zero-Knowledge Proofs and Proxy Re-encryption. ICAIS (2) 2022: 573-586 - [c108]Jingxin Liu, Jieren Cheng, Ziyan Wang, Congqiang Lou, Chenli Shen, Victor S. Sheng:
A Survey of Deep Learning for Named Entity Recognition in Chinese Social Media. ICAIS (1) 2022: 573-582 - [c107]Zhong Chen, Huixin Zhan, Victor S. Sheng, Andrea Edwards, Kun Zhang:
Projection Dual Averaging Based Second-order Online Learning. ICDM 2022: 51-60 - [c106]Yaxing Fang, Pengpeng Zhao, Xuefeng Xian, Junhua Fang, Guanfeng Liu, Yanchi Liu, Victor S. Sheng:
Quaternion-Based Graph Contrastive Learning for Recommendation. IJCNN 2022: 1-8 - [c105]Mingyuan Huang, Pengpeng Zhao, Xuefeng Xian, Jianfeng Qu, Guanfeng Liu, Yanchi Liu, Victor S. Sheng:
Help from Meta-Path: Node and Meta-Path Contrastive Learning for Recommender Systems. IJCNN 2022: 1-8 - [c104]Makenzie Spurling, Chenyi Hu, Huixin Zhan, Victor S. Sheng:
Anomaly Detection in Crowdsourced Work with Interval-Valued Labels. IPMU (1) 2022: 504-516 - [c103]Aaron Moody, Chenyi Hu, Huixin Zhan, Makenzie Spurling, Victor S. Sheng:
Towards Explainable Summary of Crowdsourced Reviews Through Text Mining. IPMU (1) 2022: 528-541 - [c102]Huiwang Zhang, Pengpeng Zhao, Xuefeng Xian, Victor S. Sheng, Yongjing Hao, Zhiming Cui:
Click is Not Equal to Purchase: Multi-task Reinforcement Learning for Multi-behavior Recommendation. WISE 2022: 443-459 - [e2]Yuan Tian, Tinghuai Ma, Muhammad Khurram Khan, Victor S. Sheng, Zhaoqing Pan:
Big Data and Security - Third International Conference, ICBDS 2021, Shenzhen, China, November 26-28, 2021, Proceedings. Communications in Computer and Information Science 1563, Springer 2022, ISBN 978-981-19-0851-4 [contents] - [i12]Yongjing Hao, Pengpeng Zhao, Xuefeng Xian, Guanfeng Liu, Deqing Wang, Lei Zhao, Yanchi Liu, Victor S. Sheng:
Learnable Model Augmentation Self-Supervised Learning for Sequential Recommendation. CoRR abs/2204.10128 (2022) - [i11]Durga Prasad Ganta, Himel Das Gupta, Victor S. Sheng:
Knowledge Distillation via Weighted Ensemble of Teaching Assistants. CoRR abs/2206.12005 (2022) - [i10]Hanwen Du, Hui Shi, Pengpeng Zhao, Deqing Wang, Victor S. Sheng, Yanchi Liu, Guanfeng Liu, Lei Zhao:
Contrastive Learning with Bidirectional Transformers for Sequential Recommendation. CoRR abs/2208.03895 (2022) - [i9]Xusheng Ai, Victor S. Sheng, Chunhua Li:
Class-attention Video Transformer for Engagement Intensity Prediction. CoRR abs/2208.07216 (2022) - [i8]Himel Das Gupta, Victor S. Sheng:
A Roadmap to Domain Knowledge Integration in Machine Learning. CoRR abs/2212.05712 (2022) - 2021
- [j78]Jian Wu, Victor S. Sheng, Jing Zhang, Hua Li, Tetiana Dadakova, Christine Leon Swisher, Zhiming Cui, Pengpeng Zhao:
Multi-Label Active Learning Algorithms for Image Classification: Overview and Future Promise. ACM Comput. Surv. 53(2): 28:1-28:35 (2021) - [j77]Zhe Liu, Xi Xie, Yuqing Song, Yang Zhang, Xuesheng Liu, Jiawen Zhang, Victor S. Sheng:
MLANet: Multi-Layer Anchor-free Network for generic lesion detection. Eng. Appl. Artif. Intell. 102: 104255 (2021) - [j76]Cangqi Zhou, Hui Chen, Jing Zhang, Qianmu Li, Dianming Hu, Victor S. Sheng:
Multi-label graph node classification with label attentive neighborhood convolution. Expert Syst. Appl. 180: 115063 (2021) - [j75]Huixin Zhan, Victor S. Sheng, Wei-Ming Lin:
Reinforcement learning-based register renaming policy for simultaneous multithreading CPUs. Expert Syst. Appl. 186: 115717 (2021) - [j74]Chengfeng Xu, Jian Feng, Pengpeng Zhao, Fuzhen Zhuang, Deqing Wang, Yanchi Liu, Victor S. Sheng:
Long- and short-term self-attention network for sequential recommendation. Neurocomputing 423: 580-589 (2021) - [j73]Wei Fang, Feihong Zhang, Victor S. Sheng, Yewen Ding:
SCENT: A new precipitation nowcasting method based on sparse correspondence and deep neural network. Neurocomputing 448: 10-20 (2021) - [j72]Zhihua Zheng, Victor S. Sheng, Lei Wang, Zhi Li, Xue-Feng Xi, Zhiming Cui:
SemicNet: a semicircular network for the segmentation of the liver and its lesions. Int. J. Sens. Networks 35(3): 161-169 (2021) - [j71]Jieren Cheng, Jingxin Liu, Xinbin Xu, Dongwan Xia, Le Liu, Victor S. Sheng:
A review of Chinese named entity recognition. KSII Trans. Internet Inf. Syst. 15(6): 2012-2030 (2021) - [j70]Jun Su, Zhe Liu, Jing Zhang, Victor S. Sheng, Yuqing Song, Yan Zhu, Yi Liu:
DV-Net: Accurate liver vessel segmentation via dense connection model with D-BCE loss function. Knowl. Based Syst. 232: 107471 (2021) - [j69]Zhong Chen, Zhide Fang, Victor S. Sheng, Jiabin Zhao, Wei Fan, Andrea Edwards, Kun Zhang:
Adaptive robust local online density estimation for streaming data. Int. J. Mach. Learn. Cybern. 12(6): 1803-1824 (2021) - [j68]Zhe Liu, Kai Han, Zhaohui Wang, Jing Zhang, Yuqing Song, Xu Yao, Deqi Yuan, Victor S. Sheng:
Automatic liver segmentation from abdominal CT volumes using improved convolution neural networks. Multim. Syst. 27(1): 111-124 (2021) - [j67]Wenmin Lin, Xuyun Zhang, Lianyong Qi, Weimin Li, Shancang Li, Victor S. Sheng, Surya Nepal:
Location-Aware Service Recommendations With Privacy-Preservation in the Internet of Things. IEEE Trans. Comput. Soc. Syst. 8(1): 227-235 (2021) - [j66]Liangmin Wang, Hantao Mei, Victor S. Sheng:
Multilevel Identification and Classification Analysis of Tor on Mobile and PC Platforms. IEEE Trans. Ind. Informatics 17(2): 1079-1088 (2021) - [j65]Pengpeng Zhao, Chengfeng Xu, Yanchi Liu, Victor S. Sheng, Kai Zheng, Hui Xiong, Xiaofang Zhou:
Photo2Trip: Exploiting Visual Contents in Geo-Tagged Photos for Personalized Tour Recommendation. IEEE Trans. Knowl. Data Eng. 33(4): 1708-1721 (2021) - [c101]Huixin Zhan, Kun Zhang, Chenyi Hu, Victor S. Sheng:
K2-GNN: Multiple Users' Comments Integration with Probabilistic K-Hop Knowledge Graph Neural Networks. ACML 2021: 1477-1492 - [c100]Huixin Zhan, Kun Zhang, Chenyi Hu, Victor S. Sheng:
HGATs: hierarchical graph attention networks for multiple comments integration. ASONAM 2021: 159-163 - [c99]Huixin Zhan, Kun Zhang, Chenyi Hu, Victor S. Sheng:
Multi-objective Privacy-preserving Text Representation Learning. CIKM 2021: 3612-3616 - [c98]Ireddy Siddhartha, Huixin Zhan, Victor S. Sheng:
Abstractive Text Summarization via Stacked LSTM*. CSCI 2021: 437-442 - [c97]Rui Wang, Chwan-Li Shen, Victor S. Sheng, Heng Wu, Zackery Toler, Samuel Temesgen:
A Review of Publicly Patient-Centered Alzheimer's disease datasets. CSCI 2021: 1182-1188 - [c96]Xintao Tian, Yongjing Hao, Pengpeng Zhao, Deqing Wang, Yanchi Liu, Victor S. Sheng:
Considering Interaction Sequence of Historical Items for Conversational Recommender System. DASFAA (3) 2021: 115-131 - [c95]Binghao Liu, Pengpeng Zhao, Fuzhen Zhuang, Xuefeng Xian, Yanchi Liu, Victor S. Sheng:
Knowledge-Aware Hypergraph Neural Network for Recommender Systems. DASFAA (3) 2021: 132-147 - [c94]Yunyi Li, Pengpeng Zhao, Deqing Wang, Xuefeng Xian, Yanchi Liu, Victor S. Sheng:
Learning Disentangled User Representation Based on Controllable VAE for Recommendation. DASFAA (3) 2021: 179-194 - [c93]Changheng Li, Yongjing Hao, Pengpeng Zhao, Fuzhen Zhuang, Yanchi Liu, Victor S. Sheng:
Tell Me Where to Go Next: Improving POI Recommendation via Conversation. DASFAA (3) 2021: 211-227 - [c92]Durga Prasad Ganta, Himel Das Gupta, Victor S. Sheng:
Knowledge Distillation via Weighted Ensemble of Teaching Assistants. ICBK 2021: 30-37 - [c91]Zhong Chen, Zhide Fang, Victor S. Sheng, Andrea Edwards, Kun Zhang:
CSRDA: Cost-sensitive Regularized Dual Averaging for Handling Imbalanced and High-dimensional Streaming Data. ICBK 2021: 164-173 - [c90]Huixin Zhan, Kun Zhang, Chenyi Hu, Victor S. Sheng:
Gated Graph Neural Networks (GG-NNs) for Abstractive Multi-Comment Summarization. ICBK 2021: 323-330 - [c89]Jing Zhao, Pengpeng Zhao, Lei Zhao, Yanchi Liu, Victor S. Sheng, Xiaofang Zhou:
Variational Self-attention Network for Sequential Recommendation. ICDE 2021: 1559-1570 - [c88]Chenyi Hu, Victor S. Sheng, Ningning Wu, Xintao Wu:
Managing Uncertainty in Crowdsourcing with Interval-Valued Labels. NAFIPS 2021: 166-178 - [c87]Jiawei Wang, Zhe Liu, Victor S. Sheng, Yuqing Song, Chenjian Qiu:
SaliencyBERT: Recurrent Attention Network for Target-Oriented Multimodal Sentiment Classification. PRCV (3) 2021: 3-15 - [c86]Makenzie Spurling, Chenyi Hu, Huixin Zhan, Victor S. Sheng:
Estimating crowd-worker's reliability with interval-valued labels to improve the quality of crowdsourced work. SSCI 2021: 1-8 - [c85]Shenghao Zheng, Xuefeng Xian, Yongjing Hao, Victor S. Sheng, Zhiming Cui, Pengpeng Zhao:
Exploiting Intra and Inter-field Feature Interaction with Self-Attentive Network for CTR Prediction. WISE (2) 2021: 34-49 - [c84]Yepeng Li, Xuefeng Xian, Pengpeng Zhao, Yanchi Liu, Victor S. Sheng:
MGSAN: A Multi-granularity Self-attention Network for Next POI Recommendation. WISE (2) 2021: 193-208 - [c83]Yang Zhou, Zeru Zhang, Sixing Wu, Victor S. Sheng, Xiaoying Han, Zijie Zhang, Ruoming Jin:
Robust Network Alignment via Attack Signal Scaling and Adversarial Perturbation Elimination. WWW 2021: 3884-3895 - [i7]Yaxing Fang, Pengpeng Zhao, Guanfeng Liu, Yanchi Liu, Victor S. Sheng, Lei Zhao, Xiaofang Zhou:
Quaternion-Based Graph Convolution Network for Recommendation. CoRR abs/2111.10536 (2021) - [i6]Yunyi Li, Pengpeng Zhao, Guanfeng Liu, Yanchi Liu, Victor S. Sheng, Jiajie Xu, Xiaofang Zhou:
Edge-Enhanced Global Disentangled Graph Neural Network for Sequential Recommendation. CoRR abs/2111.10539 (2021) - 2020
- [j64]Xue-Feng Xi, Lei Wang, Victor S. Sheng, Zhiming Cui, Baochuan Fu, Fuyuan Hu:
Cascade U-ResNets for Simultaneous Liver and Lesion Segmentation. IEEE Access 8: 68944-68952 (2020) - [j63]Xusheng Ai, Victor S. Sheng, Wei Fang, Charles X. Ling, Chunhua Li:
Ensemble Learning With Attention-Integrated Convolutional Recurrent Neural Network for Imbalanced Speech Emotion Recognition. IEEE Access 8: 199909-199919 (2020) - [j62]James Palmer, Victor S. Sheng, Travis Atkison, Bernard Chen:
Classification on grade, price, and region with multi-label and multi-target methods in wineinformatics. Big Data Min. Anal. 3(1): 1-12 (2020) - [j61]Qingren Wang, Min Zhang, Tao Tao, Victor S. Sheng:
Labelling Training Samples Using Crowdsourcing Annotation for Recommendation. Complex. 2020: 1670483:1-1670483:10 (2020) - [j60]Qianmu Li, Yanjun Song, Jing Zhang, Victor S. Sheng:
Multiclass imbalanced learning with one-versus-one decomposition and spectral clustering. Expert Syst. Appl. 147: 113152 (2020) - [j59]Xuesong Yan, Chengyu Hu, Victor S. Sheng:
Data-driven pollution source location algorithm in water quality monitoring sensor networks. Int. J. Bio Inspired Comput. 15(3): 171-180 (2020) - [j58]Qingren Wang, Chuankai Feng, Yan Xu, Hong Zhong, Victor S. Sheng:
A novel privacy-preserving speech recognition framework using bidirectional LSTM. J. Cloud Comput. 9: 36 (2020) - [j57]Liling Zhao, Yifei Chen, Victor S. Sheng:
A real-time typhoon eye detection method based on deep learning for meteorological information forensics. J. Real Time Image Process. 17(1): 95-102 (2020) - [j56]Fan Xu, Victor S. Sheng, Mingwen Wang:
Near real-time topic-driven rumor detection in source microblogs. Knowl. Based Syst. 207: 106391 (2020) - [j55]Xusheng Ai, Victor S. Sheng, Wei Fang, Charles X. Ling:
An optimal model with a lower bound of recall for imbalanced speech emotion recognition. Multim. Tools Appl. 79(33-34): 24281-24301 (2020) - [j54]Zhaoqing Pan, Weijie Yu, Bosi Wang, Haoran Xie, Victor S. Sheng, Jianjun Lei, Sam Kwong:
Loss Functions of Generative Adversarial Networks (GANs): Opportunities and Challenges. IEEE Trans. Emerg. Top. Comput. Intell. 4(4): 500-522 (2020) - [c82]Jing Zhang, Huihui Wang, Shunmei Meng, Victor S. Sheng:
Interactive Learning with Proactive Cognition Enhancement for Crowd Workers. AAAI 2020: 540-547 - [c81]Liu Yang, Tingxuan Chen, Junyu Zhang, Jun Long, Zhigang Hu, Victor S. Sheng:
Fruited-Forest: A Reachability Querying Method Based on Spanning Tree Modelling of Reduced DAG. APWeb/WAIM (1) 2020: 145-153 - [c80]Xingwei Zhu, Pengpeng Zhao, Jiajie Xu, Junhua Fang, Lei Zhao, Xuefeng Xian, Zhiming Cui, Victor S. Sheng:
Knowledge Graph Attention Network Enhanced Sequential Recommendation. APWeb/WAIM (1) 2020: 181-195 - [c79]Jiacheng Ni, Pengpeng Zhao, Jiajie Xu, Junhua Fang, Zhixu Li, Xuefeng Xian, Zhiming Cui, Victor S. Sheng:
Spatio-Temporal Self-Attention Network for Next POI Recommendation. APWeb/WAIM (1) 2020: 409-423 - [c78]Vinay Jayachandra Reddy, Rashmi Kesidi, Zhou Yang, Chen Zhang, Zhenhe Pan, Victor S. Sheng, Fang Jin:
BeSober: Assisting relapse prevention in Alcohol Addiction using a novel mobile app-based intervention. ASONAM 2020: 944-947 - [c77]Yanghong Wu, Pengpeng Zhao, Yanchi Liu, Victor S. Sheng, Junhua Fang, Fuzhen Zhuang:
Vector-Level and Bit-Level Feature Adjusted Factorization Machine for Sparse Prediction. DASFAA (1) 2020: 386-402 - [c76]Jing Zhao, Pengpeng Zhao, Yanchi Liu, Victor S. Sheng, Zhixu Li, Lei Zhao:
Hierarchical Variational Attention for Sequential Recommendation. DASFAA (3) 2020: 523-539 - [c75]Jun Ma, Pengpeng Zhao, Yanchi Liu, Victor S. Sheng, Jiajie Xu, Lei Zhao:
Modeling Periodic Pattern with Self-Attention Network for Sequential Recommendation. DASFAA (3) 2020: 557-572 - [c74]Haoran Yan, Pengpeng Zhao, Fuzhen Zhuang, Deqing Wang, Yanchi Liu, Victor S. Sheng:
Cross-Domain Recommendation with Adversarial Examples. DASFAA (3) 2020: 573-589 - [c73]Himel Das Gupta, Victor S. Sheng:
A Roadmap to Domain Knowledge Integration in Machine Learning. ICKG 2020: 145-151 - [c72]Giuseppe Di Fatta, Victor S. Sheng, Alfredo Cuzzocrea:
The IEEE ICDM 2020 Workshops. ICDM (Workshops) 2020: 26-29 - [c71]Anjing Luo, Pengpeng Zhao, Yanchi Liu, Fuzhen Zhuang, Deqing Wang, Jiajie Xu, Junhua Fang, Victor S. Sheng:
Collaborative Self-Attention Network for Session-based Recommendation. IJCAI 2020: 2591-2597 - [c70]Wanli Shi, Victor S. Sheng, Xiang Li, Bin Gu:
Semi-Supervised Multi-Label Learning from Crowds via Deep Sequential Generative Model. KDD 2020: 1141-1149 - [c69]Himel Das Gupta, Kun Zhang, Victor S. Sheng:
A Simple Ensemble Learning Knowledge Distillation. MLIS 2020: 165-171 - [c68]Jian Liu, Pengpeng Zhao, Fuzhen Zhuang, Yanchi Liu, Victor S. Sheng, Jiajie Xu, Xiaofang Zhou, Hui Xiong:
Exploiting Aesthetic Preference in Deep Cross Networks for Cross-domain Recommendation. WWW 2020: 2768-2774 - [e1]Giuseppe Di Fatta, Victor S. Sheng, Alfredo Cuzzocrea, Carlo Zaniolo, Xindong Wu:
20th International Conference on Data Mining Workshops, ICDM Workshops 2020, Sorrento, Italy, November 17-20, 2020. IEEE 2020, ISBN 978-1-7281-9012-9 [contents] - [i5]Fan Lyu, Fuyuan Hu, Victor S. Sheng, Zhengtian Wu, Qiming Fu, Baochuan Fu:
Coarse to Fine: Multi-label Image Classification with Global/Local Attention. CoRR abs/2012.13662 (2020)
2010 – 2019
- 2019
- [j53]Xiaojie Chen, Pengpeng Zhao, Yanchi Liu, Lei Zhao, Junhua Fang, Victor S. Sheng, Zhiming Cui:
Exploiting Aesthetic Features in Visual Contents for Movie Recommendation. IEEE Access 7: 49813-49821 (2019) - [j52]Binbin Che, Pengpeng Zhao, Junhua Fang, Lei Zhao, Victor S. Sheng, Zhiming Cui:
Inter-Basket and Intra-Basket Adaptive Attention Network for Next Basket Recommendation. IEEE Access 7: 80644-80650 (2019) - [j51]Zhe Liu, Yuqing Song, Victor S. Sheng, Chunyan Xu, Charlie Maere, Kaifeng Xue, Kai Yang:
MRI and PET image fusion using the nonparametric density model and the theory of variable-weight. Comput. Methods Programs Biomed. 175: 73-82 (2019) - [j50]Zhe Liu, Yu-Qing Song, Victor S. Sheng, Liangmin Wang, Rui Jiang, Xiaolin Zhang, Deqi Yuan:
Liver CT sequence segmentation based with improved U-Net and graph cut. Expert Syst. Appl. 126: 54-63 (2019) - [j49]Wei Fang, Yewen Ding, Feihong Zhang, Victor S. Sheng:
DOG: A new background removal for object recognition from images. Neurocomputing 361: 85-91 (2019) - [j48]Zhaobin Liu, Wenzhi Liu, Qiang Ma, Gang Liu, Liang Zhang, Ligang Fang, Victor S. Sheng:
Security cooperation model based on topology control and time synchronization for wireless sensor networks. J. Commun. Networks 21(5): 469-480 (2019) - [j47]Zhe Liu, Cheng-Jian Qiu, Yu-Qing Song, Xiaohong Liu, Juan Wang, Victor S. Sheng:
Texture Feature Extraction from Thyroid MR Imaging Using High-Order Derived Mean CLBP. J. Comput. Sci. Technol. 34(1): 35-46 (2019) - [j46]Jieren Cheng, Mengyang Li, Xiangyan Tang, Victor S. Sheng, Yifu Liu, Wei Guo:
Corrigendum to "Flow Correlation Degree Optimization Driven Random Forest for Detecting DDoS Attacks in Cloud Computing". Secur. Commun. Networks 2019: 6809054:1 (2019) - [j45]Zhaoqing Pan, Ching-Nung Yang, Victor S. Sheng, Naixue Xiong, Weizhi Meng:
Machine Learning for Wireless Multimedia Data Security. Secur. Commun. Networks 2019: 7682306:1-7682306:2 (2019) - [j44]Victor S. Sheng, Jing Zhang, Bin Gu, Xindong Wu:
Majority Voting and Pairing with Multiple Noisy Labeling. IEEE Trans. Knowl. Data Eng. 31(7): 1355-1368 (2019) - [j43]Jing Zhang, Ming Wu, Victor S. Sheng:
Ensemble Learning from Crowds. IEEE Trans. Knowl. Data Eng. 31(8): 1506-1519 (2019) - [j42]Yang Zhang, Victor S. Sheng:
Fog-enabled Event Processing Based on IoT Resource Models. IEEE Trans. Knowl. Data Eng. 31(9): 1707-1721 (2019) - [j41]Jing Zhang, Victor S. Sheng, Jian Wu:
Crowdsourced Label Aggregation Using Bilayer Collaborative Clustering. IEEE Trans. Neural Networks Learn. Syst. 30(10): 3172-3185 (2019) - [c67]Pengpeng Zhao, Haifeng Zhu, Yanchi Liu, Jiajie Xu, Zhixu Li, Fuzhen Zhuang, Victor S. Sheng, Xiaofang Zhou:
Where to Go Next: A Spatio-Temporal Gated Network for Next POI Recommendation. AAAI 2019: 5877-5884 - [c66]Victor S. Sheng, Jing Zhang:
Machine Learning with Crowdsourcing: A Brief Summary of the Past Research and Future Directions. AAAI 2019: 9837-9843 - [c65]Tingting Zhang, Pengpeng Zhao, Yanchi Liu, Jiajie Xu, Junhua Fang, Lei Zhao, Victor S. Sheng, Zhiming Cui:
AdaCML: Adaptive Collaborative Metric Learning for Recommendation. DASFAA (2) 2019: 301-316 - [c64]Anjing Luo, Pengpeng Zhao, Yanchi Liu, Jiajie Xu, Zhixu Li, Lei Zhao, Victor S. Sheng, Zhiming Cui:
Adaptive Attention-Aware Gated Recurrent Unit for Sequential Recommendation. DASFAA (2) 2019: 317-332 - [c63]Jian Liu, Pengpeng Zhao, Yanchi Liu, Jiajie Xu, Junhua Fang, Lei Zhao, Victor S. Sheng, Zhiming Cui:
Attention and Convolution Enhanced Memory Network for Sequential Recommendation. DASFAA (2) 2019: 333-349 - [c62]Gang Liu, Zhaobin Liu, Victor S. Sheng, Liang Zhang, Yuanfeng Yang:
A Centralized Energy-Efficient Wireless Sensor Network Routing Protocol for the Static Sensor Nodes. EWSN 2019: 384-390 - [c61]Chengfeng Xu, Pengpeng Zhao, Yanchi Liu, Victor S. Sheng, Jiajie Xu, Fuzhen Zhuang, Junhua Fang, Xiaofang Zhou:
Graph Contextualized Self-Attention Network for Session-based Recommendation. IJCAI 2019: 3940-3946 - [c60]Tingting Zhang, Pengpeng Zhao, Yanchi Liu, Victor S. Sheng, Jiajie Xu, Deqing Wang, Guanfeng Liu, Xiaofang Zhou:
Feature-level Deeper Self-Attention Network for Sequential Recommendation. IJCAI 2019: 4320-4326 - [c59]Yongye Qian, Pengpeng Zhao, Zhixu Li, Junhua Fang, Lei Zhao, Victor S. Sheng, Zhiming Cui:
Interaction Graph Neural Network for News Recommendation. WISE 2019: 599-614 - [c58]Chengfeng Xu, Pengpeng Zhao, Yanchi Liu, Jiajie Xu, Victor S. Sheng, Zhiming Cui, Xiaofang Zhou, Hui Xiong:
Recurrent Convolutional Neural Network for Sequential Recommendation. WWW 2019: 3398-3404 - [i4]Jieren Cheng, Chen Zhang, Xiangyan Tang, Victor S. Sheng, Zhe Dong, Junqi Li, Jing Chen:
Adaptive DDoS attack detection method based on multiple-kernel learning. CoRR abs/1905.07893 (2019) - [i3]Jian Liu, Pengpeng Zhao, Yanchi Liu, Victor S. Sheng, Fuzhen Zhuang, Jiajie Xu, Xiaofang Zhou, Hui Xiong:
Deep Cross Networks with Aesthetic Preference for Cross-domain Recommendation. CoRR abs/1905.13030 (2019) - [i2]Jieren Cheng, Junqi Li, Xiangyan Tang, Victor S. Sheng, Chen Zhang, Mengyang Li:
A Novel DDoS Attack Detection Method Using Optimized Generalized Multiple Kernel Learning. CoRR abs/1906.08204 (2019) - 2018
- [j40]Xiaojie Chen, Pengpeng Zhao, Jiajie Xu, Zhixu Li, Lei Zhao, Yanchi Liu, Victor S. Sheng, Zhiming Cui:
Exploiting Visual Contents in Posters and Still Frames for Movie Recommendation. IEEE Access 6: 68874-68881 (2018) - [j39]Qingren Wang, Victor S. Sheng, Xindong Wu:
Document-specific keyphrase candidate search and ranking. Expert Syst. Appl. 97: 163-176 (2018) - [j38]Ziting Zhou, Pengpeng Zhao, Victor S. Sheng, Jiajie Xu, Zhixu Li, Jian Wu, Zhiming Cui:
Efficient sampling methods for characterizing POIs on maps based on road networks. Frontiers Comput. Sci. 12(3): 582-592 (2018) - [j37]Jian Wu, Anqian Guo, Victor S. Sheng, Pengpeng Zhao, Zhiming Cui:
An Active Learning Approach for Multi-Label Image Classification with Sample Noise. Int. J. Pattern Recognit. Artif. Intell. 32(3): 1850005:1-1850005:23 (2018) - [j36]Bin Gu, Yingying Shan, Victor S. Sheng, Yuhui Zheng, Shuo Li:
Sparse regression with output correlation for cardiac ejection fraction estimation. Inf. Sci. 423: 303-312 (2018) - [j35]Pengpeng Zhao, Haifeng Zhu, Yanchi Liu, Ziting Zhou, Zhixu Li, Jia-Jie Xu, Lei Zhao, Victor S. Sheng:
A Generative Model Approach for Geo-Social Group Recommendation. J. Comput. Sci. Technol. 33(4): 727-738 (2018) - [j34]Zhenyu Shu, Victor S. Sheng, Jingjing Li:
Learning from crowds with active learning and self-healing. Neural Comput. Appl. 30(9): 2883-2894 (2018) - [j33]Bin Gu, Xin Quan, Yunhua Gu, Victor S. Sheng, Guansheng Zheng:
Chunk incremental learning for cost-sensitive hinge loss support vector machine. Pattern Recognit. 83: 196-208 (2018) - [j32]Jieren Cheng, Chen Zhang, Xiangyan Tang, Victor S. Sheng, Zhe Dong, Junqi Li:
Adaptive DDoS Attack Detection Method Based on Multiple-Kernel Learning. Secur. Commun. Networks 2018: 5198685:1-5198685:19 (2018) - [j31]Jieren Cheng, Mengyang Li, Xiangyan Tang, Victor S. Sheng, Yifu Liu, Wei Guo:
Flow Correlation Degree Optimization Driven Random Forest for Detecting DDoS Attacks in Cloud Computing. Secur. Commun. Networks 2018: 6459326:1-6459326:14 (2018) - [j30]Zhaobin Liu, Qiang Ma, Wenzhi Liu, Victor S. Sheng, Liang Zhang, Gang Liu:
Access Control Model Based on Time Synchronization Trust in Wireless Sensor Networks. Sensors 18(7): 2107 (2018) - [j29]Jing Zhang, Victor S. Sheng, Tao Li, Xindong Wu:
Improving Crowdsourced Label Quality Using Noise Correction. IEEE Trans. Neural Networks Learn. Syst. 29(5): 1675-1688 (2018) - [j28]Bin Gu, Victor S. Sheng:
A Solution Path Algorithm for General Parametric Quadratic Programming Problem. IEEE Trans. Neural Networks Learn. Syst. 29(9): 4462-4472 (2018) - [c57]Haifeng Zhu, Pengpeng Zhao, Zhixu Li, Jiajie Xu, Lei Zhao, Victor S. Sheng:
Exploiting Implicit Social Relationship for Point-of-Interest Recommendation. APWeb/WAIM (2) 2018: 280-297 - [c56]Shuiming Zhong, Xiaoxiang Lu, Meng Li, Chengguang Liu, Yong Cheng, Victor S. Sheng:
An Adaptive Construction Test Method Based on Geometric Calculation for Linearly Separable Problems. ICCCS (6) 2018: 392-405 - [c55]Qingren Wang, Victor S. Sheng, Zhaobin Liu:
Exploring Methods of Assessing Influence Relevance of News Articles. ICCCS (6) 2018: 525-536 - [c54]Fan Lyu, Fuyuan Hu, Victor S. Sheng, Zhengtian Wu, Qiming Fu, Baochuan Fu:
Coarse to Fine: Multi-label Image Classification with Global/Local Attention. ISC2 2018: 1-7 - [i1]Pengpeng Zhao, Haifeng Zhu, Yanchi Liu, Zhixu Li, Jiajie Xu, Victor S. Sheng:
Where to Go Next: A Spatio-temporal LSTM model for Next POI Recommendation. CoRR abs/1806.06671 (2018) - 2017
- [j27]Chunhua Li, Pengpeng Zhao, Victor S. Sheng, Xuefeng Xian, Jian Wu, Zhiming Cui:
Refining Automatically Extracted Knowledge Bases Using Crowdsourcing. Comput. Intell. Neurosci. 2017: 4092135:1-4092135:17 (2017) - [j26]Jian Wu, Chen Ye, Victor S. Sheng, Jing Zhang, Pengpeng Zhao, Zhiming Cui:
Active learning with label correlation exploration for multi-label image classification. IET Comput. Vis. 11(7): 577-584 (2017) - [j25]Jing Zhang, Victor S. Sheng, Qianmu Li, Jian Wu, Xindong Wu:
Consensus algorithms for biased labeling in crowdsourcing. Inf. Sci. 382-383: 254-273 (2017) - [j24]Xusheng Ai, Jian Wu, Zhiming Cui, Victor S. Sheng:
Broaden the minority class space for decision tree induction using antigen-derived detectors. Knowl. Based Syst. 137: 196-205 (2017) - [j23]Bin Gu, Victor S. Sheng, KengYeow Tay, Walter Romano, Shuo Li:
Cross Validation Through Two-Dimensional Solution Surface for Cost-Sensitive SVM. IEEE Trans. Pattern Anal. Mach. Intell. 39(6): 1103-1121 (2017) - [j22]Jian Wu, Shiquan Zhao, Victor S. Sheng, Jing Zhang, Chen Ye, Pengpeng Zhao, Zhiming Cui:
Weak-Labeled Active Learning With Conditional Label Dependence for Multilabel Image Classification. IEEE Trans. Multim. 19(6): 1156-1169 (2017) - [j21]Bin Gu, Victor S. Sheng:
A Robust Regularization Path Algorithm for ν-Support Vector Classification. IEEE Trans. Neural Networks Learn. Syst. 28(5): 1241-1248 (2017) - [j20]Bin Gu, Xingming Sun, Victor S. Sheng:
Structural Minimax Probability Machine. IEEE Trans. Neural Networks Learn. Syst. 28(7): 1646-1656 (2017) - [j19]Pengpeng Zhao, Hailin Fang, Victor S. Sheng, Zhixu Li, Jiajie Xu, Jian Wu, Zhiming Cui:
Monochromatic and bichromatic ranked reverse boolean spatial keyword nearest neighbors search. World Wide Web 20(1): 39-59 (2017) - [j18]Pengpeng Zhao, Hanhan Jiang, Jiajie Xu, Victor S. Sheng, Guanfeng Liu, An Liu, Jian Wu, Zhiming Cui:
Location-aware publish/subscribe index with complex boolean expressions. World Wide Web 20(6): 1363-1384 (2017) - [c53]Qingren Wang, Victor S. Sheng, Xindong Wu:
Keyphrase Extraction with Sequential Pattern Mining. AAAI 2017: 5003-5004 - [c52]Qingren Wang, Victor S. Sheng, Chenyi Hu:
Keyphrase Extraction Using Sequential Pattern Mining and Entropy. ICBK 2017: 88-95 - [c51]Pengpeng Zhao, Xiefeng Xu, Yanchi Liu, Ziting Zhou, Kai Zheng, Victor S. Sheng, Hui Xiong:
Exploiting Hierarchical Structures for POI Recommendation. ICDM 2017: 655-664 - [c50]Anqian Guo, Jian Wu, Victor S. Sheng, Pengpeng Zhao, Zhiming Cui:
Multi-label active learning with low-rank mapping for image classification. ICME 2017: 259-264 - [c49]Pengpeng Zhao, Xiefeng Xu, Yanchi Liu, Victor S. Sheng, Kai Zheng, Hui Xiong:
Photo2Trip: Exploiting Visual Contents in Geo-tagged Photos for Personalized Tour Recommendation. ACM Multimedia 2017: 916-924 - [c48]Jian Wu, Anqian Guo, Victor S. Sheng, Pengpeng Zhao, Zhiming Cui, Hua Li:
Adaptive Low-Rank Multi-Label Active Learning for Image Classification. ACM Multimedia 2017: 1336-1344 - [c47]Jing Zhang, Victor S. Sheng, Tao Li:
Label Aggregation for Crowdsourcing with Bi-Layer Clustering. SIGIR 2017: 921-924 - [c46]Yan Long, Pengpeng Zhao, Victor S. Sheng, Guanfeng Liu, Jiajie Xu, Jian Wu, Zhiming Cui:
Social Personalized Ranking Embedding for Next POI Recommendation. WISE (1) 2017: 91-105 - [r5]Charles X. Ling, Victor S. Sheng:
Class Imbalance Problem. Encyclopedia of Machine Learning and Data Mining 2017: 204-205 - [r4]Charles X. Ling, Victor S. Sheng:
Cost-Sensitive Learning. Encyclopedia of Machine Learning and Data Mining 2017: 285-289 - 2016
- [j17]Jing Zhang, Xindong Wu, Victor S. Sheng:
Learning from crowdsourced labeled data: a survey. Artif. Intell. Rev. 46(4): 543-576 (2016) - [j16]Xuefeng Xian, Pengpeng Zhao, Victor S. Sheng, Ligang Fang, Caidong Gu, Yuanfeng Yang, Zhiming Cui:
Stratification-Based Outlier Detection over the Deep Web. Comput. Intell. Neurosci. 2016: 7386517:1-7386517:13 (2016) - [j15]Bryce Nicholson, Victor S. Sheng, Jing Zhang:
Label noise correction and application in crowdsourcing. Expert Syst. Appl. 66: 149-162 (2016) - [j14]Xuesong Yan, Qinghua Wu, Victor S. Sheng:
A Double Weighted Naive Bayes with Niching Cultural Algorithm for Multi-Label Classification. Int. J. Pattern Recognit. Artif. Intell. 30(6): 1650013:1-1650013:23 (2016) - [j13]Chaoqun Li, Victor S. Sheng, Liangxiao Jiang, Hongwei Li:
Noise filtering to improve data and model quality for crowdsourcing. Knowl. Based Syst. 107: 96-103 (2016) - [j12]Jing Zhang, Victor S. Sheng, Jian Wu, Xindong Wu:
Multi-Class Ground Truth Inference in Crowdsourcing with Clustering. IEEE Trans. Knowl. Data Eng. 28(4): 1080-1085 (2016) - [c45]Hanhan Jiang, Pengpeng Zhao, Victor S. Sheng, Jiajie Xu, An Liu, Jian Wu, Zhiming Cui:
An Efficient Location-Aware Top-k Subscription Matching for Publish/Subscribe with Boolean Expressions. DASFAA (2) 2016: 335-350 - [c44]Jian Wu, Shiquan Zhao, Victor S. Sheng, Pengpeng Zhao, Zhiming Cui:
Multi-label active learning for image classification with asymmetrical conditional dependence. ICME 2016: 1-6 - [c43]Jie Liu, Lin Zhang, Victor S. Sheng, Yuanjun Laili:
Social Recommendation Terms: Probabilistic Explanation Optimization. Monterey Workshop 2016: 155-167 - [c42]Chunhua Li, Pengpeng Zhao, Victor S. Sheng, Zhixu Li, Guanfeng Liu, Jian Wu, Zhiming Cui:
A Hybrid Machine-Crowdsourcing Approach for Web Table Matching and Cleaning. WAIM (2) 2016: 132-144 - 2015
- [j11]Xusheng Ai, Jian Wu, Victor S. Sheng, Pengpeng Zhao, Zhiming Cui:
Immune Centroids Oversampling Method for Binary Classification. Comput. Intell. Neurosci. 2015: 109806:1-109806:11 (2015) - [j10]Jing Zhang, Victor S. Sheng, Bryce Nicholson, Xindong Wu:
CEKA: a tool for mining the wisdom of crowds. J. Mach. Learn. Res. 16: 2853-2858 (2015) - [j9]Bin Gu, Victor S. Sheng, Zhijie Wang, Derek Ho, Said Osman, Shuo Li:
Incremental learning for ν-Support Vector Regression. Neural Networks 67: 140-150 (2015) - [j8]Jing Zhang, Xindong Wu, Victor S. Sheng:
Active Learning With Imbalanced Multiple Noisy Labeling. IEEE Trans. Cybern. 45(5): 1081-1093 (2015) - [j7]Jing Zhang, Xindong Wu, Victor S. Sheng:
Imbalanced Multiple Noisy Labeling. IEEE Trans. Knowl. Data Eng. 27(2): 489-503 (2015) - [j6]Bin Gu, Victor S. Sheng, KengYeow Tay, Walter Romano, Shuo Li:
Incremental Support Vector Learning for Ordinal Regression. IEEE Trans. Neural Networks Learn. Syst. 26(7): 1403-1416 (2015) - [c41]Xiaopeng Kuang, Pengpeng Zhao, Victor S. Sheng, Jian Wu, Zhixu Li, Guanfeng Liu, Zhiming Cui:
TK-SK: Textual-Restricted K Spatial Keyword Query on Road Networks. ADC 2015: 167-179 - [c40]Hailin Fang, Pengpeng Zhao, Victor S. Sheng, Jian Wu, Jiajie Xu, An Liu, Zhiming Cui:
Effective Spatial Keyword Query Processing on Road Networks. ADC 2015: 194-206 - [c39]Lei Gao, Pengpeng Zhao, Victor S. Sheng, Zhixu Li, An Liu, Jian Wu, Zhiming Cui:
EPEMS: An Entity Matching System for E-Commerce Products. APWeb 2015: 871-874 - [c38]Xusheng Ai, Jian Wu, Victor S. Sheng, Yufeng Yao, Pengpeng Zhao, Zhiming Cui:
Best First Over-Sampling for Multilabel Classification. CIKM 2015: 1803-1806 - [c37]Jing Zhang, Victor S. Sheng, Jian Wu, Xiaoqin Fu, Xindong Wu:
Improving Label Quality in Crowdsourcing Using Noise Correction. CIKM 2015: 1931-1934 - [c36]Pengpeng Zhao, Xiaopeng Kuang, Victor S. Sheng, Jiajie Xu, Jian Wu, Zhiming Cui:
Scalable Top- k Spatial Image Search on Road Networks. DASFAA (2) 2015: 379-396 - [c35]Bryce Nicholson, Jing Zhang, Victor S. Sheng, Zhiheng Wang:
Label noise correction methods. DSAA 2015: 1-9 - [c34]Bryce Nicholson, Victor S. Sheng, Jing Zhang:
Noise correction of image labeling in crowdsourcing. ICIP 2015: 1458-1462 - [c33]Chen Ye, Jian Wu, Victor S. Sheng, Pengpeng Zhao, Zhiming Cui:
Multi-label active learning with label correlation for image classification. ICIP 2015: 3437-3441 - [c32]Zhenyu Shu, Victor S. Sheng, Yang Zhang, Dianhong Wang, Jing Zhang, Heng Chen:
Integrating Active Learning with Supervision for Crowdsourcing Generalization. ICMLA 2015: 232-237 - [c31]Jingjing Li, Victor S. Sheng, Zhenyu Shu, Yanxia Cheng, Yuqin Jin, Yuan-feng Yan:
Learning from the Crowd with Neural Network. ICMLA 2015: 693-698 - [c30]Bin Gu, Victor S. Sheng, Shuo Li:
Bi-Parameter Space Partition for Cost-Sensitive SVM. IJCAI 2015: 3532-3539 - [c29]Xuesong Yan, Wei Li, Qinghua Wu, Victor S. Sheng:
A Double Weighted Naive Bayes for Multi-label Classification. ISICA 2015: 382-389 - [c28]Bryce Nicholson, Victor S. Sheng, Jing Zhang, Zhiheng Wang, Xuefeng Xian:
Improving Label Accuracy by Filtering Low-Quality Workers in Crowdsourcing. MICAI (1) 2015: 547-559 - [c27]Chen Ye, Jian Wu, Victor S. Sheng, Shiquan Zhao, Pengpeng Zhao, Zhiming Cui:
Multi-Label Active Learning with Chi-Square Statistics for Image Classification. ICMR 2015: 583-586 - [c26]Shiquan Zhao, Jian Wu, Victor S. Sheng, Chen Ye, Pengpeng Zhao, Zhiming Cui:
Weak Labeled Multi-Label Active Learning for Image Classification. ACM Multimedia 2015: 1127-1130 - [c25]Xusheng Ai, Jian Wu, Victor S. Sheng, Pengpeng Zhao, Yufeng Yao, Zhiming Cui:
Immune Centroids Over-Sampling Method for Multi-Class Classification. PAKDD (1) 2015: 251-263 - [c24]Jian Wu, Chen Ye, Victor S. Sheng, Yufeng Yao, Pengpeng Zhao, Zhiming Cui:
Semi-automatic Labeling with Active Learning for Multi-label Image Classification. PCM (1) 2015: 473-482 - [c23]Haihui Xu, Pengpeng Zhao, Victor S. Sheng, Guanfeng Liu, Lei Zhao, Jian Wu, Zhiming Cui:
Batch Mode Active Learning for Networked Data with Optimal Subset Selection. WAIM 2015: 96-108 - [c22]Yuanliu Liu, Pengpeng Zhao, Victor S. Sheng, Zhixu Li, An Liu, Jian Wu, Zhiming Cui:
RPCV: Recommend Potential Customers to Vendors in Location-Based Social Network. WAIM 2015: 272-284 - [c21]Ziting Zhou, Pengpeng Zhao, Victor S. Sheng, Jiajie Xu, Zhixu Li, Jian Wu, Zhiming Cui:
Effective Sampling of Points of Interests on Maps Based on Road Networks. WAIM 2015: 563-566 - [c20]Hailin Fang, Pengpeng Zhao, Victor S. Sheng, Zhixu Li, Jiajie Xu, Jian Wu, Zhiming Cui:
Ranked Reverse Boolean Spatial Keyword Nearest Neighbors Search. WISE (1) 2015: 92-107 - [c19]Hanhan Jiang, Pengpeng Zhao, Victor S. Sheng, Guanfeng Liu, An Liu, Jian Wu, Zhiming Cui:
An Efficient Location-Aware Publish/Subscribe Index with Boolean Expressions. WISE (1) 2015: 216-231 - 2014
- [j5]Panagiotis G. Ipeirotis, Foster J. Provost, Victor S. Sheng, Jing Wang:
Repeated labeling using multiple noisy labelers. Data Min. Knowl. Discov. 28(2): 402-441 (2014) - [j4]Victor S. Sheng, Bin Gu, Wei Fang, Jian Wu:
Cost-sensitive learning for defect escalation. Knowl. Based Syst. 66: 146-155 (2014) - [c18]Jian Wu, Victor S. Sheng, Jing Zhang, Pengpeng Zhao, Zhiming Cui:
Multi-label active learning for image classification. ICIP 2014: 5227-5231 - 2013
- [j3]Xuesong Yan, Wenjing Luo, Qinghua Wu, Victor S. Sheng:
A hybrid intelligent data classification algorithm. Int. J. Wirel. Mob. Comput. 6(6): 573-580 (2013) - [j2]Bin Gu, Victor S. Sheng:
Feasibility and Finite Convergence Analysis for Accurate On-Line $\nu$-Support Vector Machine. IEEE Trans. Neural Networks Learn. Syst. 24(8): 1304-1315 (2013) - [c17]Robert Kyle Eichelberger, Victor S. Sheng:
Does One-Against-All or One-Against-One Improve the Performance of Multiclass Classifications? AAAI 2013: 1609-1610 - [c16]Clifford A. Tawiah, Victor S. Sheng:
Empirical Comparison of Multi-Label Classification Algorithms. AAAI 2013: 1645-1646 - [c15]Jing Zhang, Xindong Wu, Victor Shengli Sheng:
Imbalanced Multiple Noisy Labeling for Supervised Learning. AAAI 2013: 1651-1652 - [c14]Jing Zhang, Xindong Wu, Victor S. Sheng:
A threshold method for imbalanced multiple noisy labeling. ASONAM 2013: 61-65 - [c13]Clifford A. Tawiah, Victor S. Sheng:
A Study on Multi-label Classification. ICDM 2013: 137-150 - [c12]Robert Kyle Eichelberger, Victor S. Sheng:
An Empirical Study of Reducing Multiclass Classification Methodologies. MLDM 2013: 505-519 - 2012
- [c11]Victor S. Sheng:
Studying Active Learning in the Cost-Sensitive Framework. HICSS 2012: 1097-1106 - [c10]Benjamine Nordin, Chenyi Hu, Bernard Chen, Victor S. Sheng:
Interval-Valued Centroids in K-Means Algorithms. ICMLA (1) 2012: 478-481 - 2011
- [c9]Victor S. Sheng:
Simple Multiple Noisy Label Utilization Strategies. ICDM 2011: 635-644 - [c8]Victor S. Sheng:
Fast Data Acquisition in Cost-Sensitive Learning. ICDM 2011: 66-77 - [c7]Victor S. Sheng, Rahul Tada:
Boosting Inspired Process for Improving AUC. MLDM 2011: 199-209 - 2010
- [r3]Charles X. Ling, Victor S. Sheng:
Class Imbalance Problem. Encyclopedia of Machine Learning 2010: 171 - [r2]Charles X. Ling, Victor S. Sheng:
Cost-Sensitive Learning. Encyclopedia of Machine Learning 2010: 231-235
2000 – 2009
- 2009
- [r1]Victor S. Sheng, Charles X. Ling:
Cost-Sensitive Learning. Encyclopedia of Data Warehousing and Mining 2009: 339-345 - 2008
- [c6]Victor S. Sheng, Foster J. Provost, Panagiotis G. Ipeirotis:
Get another label? improving data quality and data mining using multiple, noisy labelers. KDD 2008: 614-622 - 2007
- [c5]Victor S. Sheng, Charles X. Ling:
Roulette Sampling for Cost-Sensitive Learning. ECML 2007: 724-731 - [c4]Victor S. Sheng, Charles X. Ling:
Partial example acquisition in cost-sensitive learning. KDD 2007: 638-646 - 2006
- [j1]Charles X. Ling, Victor S. Sheng, Qiang Yang:
Test Strategies for Cost-Sensitive Decision Trees. IEEE Trans. Knowl. Data Eng. 18(8): 1055-1067 (2006) - [c3]Victor S. Sheng, Charles X. Ling:
Thresholding for Making Classifiers Cost-sensitive. AAAI 2006: 476-481 - [c2]Victor S. Sheng, Charles X. Ling:
Feature value acquisition in testing: a sequential batch test algorithm. ICML 2006: 809-816 - [c1]Charles X. Ling, Victor S. Sheng, Tilmann F. W. Bruckhaus, Nazim H. Madhavji:
Maximum profit mining and its application in software development. KDD 2006: 929-934
Coauthor Index
[j109] [j105] [j94] [c116] [c102] [j78] [j72] [c85] [j64] [c80] [c79] [j53] [j52] [c65] [c64] [c63] [c59] [c58] [j40] [j38] [j37] [j27] [j26] [j24] [j22] [j19] [j18] [c50] [c48] [c46] [j16] [c45] [c44] [c42] [j11] [c41] [c40] [c39] [c38] [c36] [c33] [c27] [c26] [c25] [c24] [c23] [c22] [c21] [c20] [c19] [c18]
Charles Ling 0001
aka: Charles X. Ling
aka: Charles X. Ling
[j146] [j134] [j129] [j127] [j122] [c147] [c143] [c142] [c138] [j102] [j99] [j96] [j95] [j94] [c125] [c121] [c119] [c118] [c117] [i19] [i18] [i17] [i16] [i15] [i14] [j81] [c116] [c114] [c106] [c105] [c102] [i12] [i10] [j78] [j74] [j65] [c96] [c95] [c94] [c93] [c89] [c85] [c84] [i7] [i6] [c80] [c79] [c77] [c76] [c75] [c74] [c71] [c68] [j53] [j52] [c67] [c65] [c64] [c63] [c61] [c60] [c59] [c58] [i3] [j40] [j38] [j37] [j35] [c57] [i1] [j27] [j26] [j22] [j19] [j18] [c51] [c50] [c49] [c48] [c46] [j16] [c45] [c44] [c42] [j11] [c41] [c40] [c39] [c38] [c36] [c33] [c27] [c26] [c25] [c24] [c23] [c22] [c21] [c20] [c19] [c18]
Huijuan Zhu
aka: Hui-juan Zhu
aka: Hui-juan Zhu
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