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2020 – today
- 2024
[j59]Jing Zhang
, Chao Zhang, Shuai Xu, Guiyi Liu, Hongbo Fei, Le Wu:
Remaining Life Prediction of Bearings Based on Improved IF-SCINet. IEEE Access 12: 19598-19611 (2024)- [j58]Guiyi Liu, Chao Zhang, Shuai Xu, Jing Zhang, Le Wu:
A New Lightweight Fault Diagnosis Framework Towards Variable Speed Rolling Bearings. IEEE Access 12: 70170-70183 (2024) - [j57]Le Wu, Aiping Liu, Chang Li, Xun Chen:
Enhancing EEG artifact removal through neural architecture search with large kernels. Adv. Eng. Informatics 62: 102831 (2024) - [j56]Kun Zhang, Dacao Zhang, Le Wu, Richang Hong, Ye Zhao, Meng Wang:
Label-aware debiased causal reasoning for Natural Language Inference. AI Open 5: 70-78 (2024) - [j55]Zheng Zhang, Le Wu, Qi Liu, Jiayu Liu, Zhenya Huang, Yu Yin, Yan Zhuang, Weibo Gao, Enhong Chen:
Understanding and improving fairness in cognitive diagnosis. Sci. China Inf. Sci. 67(5) (2024) - [j54]Jun Sun, Le Wu, Nan Fang, Lifeng Liu:
IFM calculator: An algorithm for interfragmentary motion calculation in finite element analysis. Comput. Methods Programs Biomed. 244: 107996 (2024) - [j53]Yu Su, Shuanghong Shen, Linbo Zhu, Le Wu, Zhenya Huang, Zeyu Cheng, Qi Liu, Shijin Wang:
Global and local neural cognitive modeling for student performance prediction. Expert Syst. Appl. 237(Part C): 121637 (2024) - [j52]Junwei Li, Le Wu, Yulu Du, Richang Hong, Weisheng Li:
Dual Graph Neural Networks for Dynamic Users' Behavior Prediction on Social Networking Services. IEEE Trans. Comput. Soc. Syst. 11(5): 7020-7031 (2024) - [j51]Miaomiao Cai, Min Hou, Lei Chen, Le Wu, Haoyue Bai, Yong Li, Meng Wang:
Mitigating Recommendation Biases via Group-Alignment and Global-Uniformity in Representation Learning. ACM Trans. Intell. Syst. Technol. 15(5): 101:1-101:27 (2024) - [j50]Peijie Sun, Le Wu, Kun Zhang, Xiangzhi Chen, Meng Wang:
Neighborhood-Enhanced Supervised Contrastive Learning for Collaborative Filtering. IEEE Trans. Knowl. Data Eng. 36(5): 2069-2081 (2024) - [j49]Yonghui Yang, Le Wu, Kun Zhang, Richang Hong, Hailin Zhou, Zhiqiang Zhang, Jun Zhou, Meng Wang:
Hyperbolic Graph Learning for Social Recommendation. IEEE Trans. Knowl. Data Eng. 36(12): 8488-8501 (2024) - [j48]Shulan Ruan, Kun Zhang, Le Wu, Tong Xu, Qi Liu, Enhong Chen:
Color Enhanced Cross Correlation Net for Image Sentiment Analysis. IEEE Trans. Multim. 26: 4097-4109 (2024) - [j47]Kun Zhang, Le Wu, Guangyi Lv, Enhong Chen, Shulan Ruan, Jing Liu, Zhiqiang Zhang, Jun Zhou, Meng Wang:
Description-Enhanced Label Embedding Contrastive Learning for Text Classification. IEEE Trans. Neural Networks Learn. Syst. 35(10): 14889-14902 (2024) - [j46]Fei Liu, Chenyang Bu, Haotian Zhang, Le Wu, Kui Yu, Xuegang Hu:
FDKT: Towards an Interpretable Deep Knowledge Tracing via Fuzzy Reasoning. ACM Trans. Inf. Syst. 42(5): 139:1-139:26 (2024) - [j45]Pengyang Shao, Le Wu, Kun Zhang, Defu Lian, Richang Hong, Yong Li, Meng Wang:
Average User-Side Counterfactual Fairness for Collaborative Filtering. ACM Trans. Inf. Syst. 42(5): 140:1-140:26 (2024) - [j44]Le Wu, Liji Wu, Xiangmin Zhang, Munkhbaatar Chinbat:
Dual-Rail Precharge Logic-Based Side-Channel Countermeasure for DNN Systolic Array. IEEE Trans. Very Large Scale Integr. Syst. 32(9): 1740-1743 (2024) - [c82]Lanjun Wang, Zehao Wang, Le Wu, An-An Liu:
Bots Shield Fake News: Adversarial Attack on User Engagement based Fake News Detection. CIKM 2024: 2369-2378 - [c81]Junsong Xie, Yonghui Yang, Zihan Wang, Le Wu:
Learning Fair Representations for Recommendation via Information Bottleneck Principle. IJCAI 2024: 2469-2477 - [c80]Miaomiao Cai, Lei Chen, Yifan Wang, Haoyue Bai, Peijie Sun, Le Wu, Min Zhang, Meng Wang:
Popularity-Aware Alignment and Contrast for Mitigating Popularity Bias. KDD 2024: 187-198 - [c79]Zhuangzhuang He, Yifan Wang, Yonghui Yang, Peijie Sun, Le Wu, Haoyue Bai, Jinqi Gong, Richang Hong, Min Zhang:
Double Correction Framework for Denoising Recommendation. KDD 2024: 1062-1072 - [c78]Yonghui Yang, Le Wu, Zihan Wang, Zhuangzhuang He, Richang Hong, Meng Wang:
Graph Bottlenecked Social Recommendation. KDD 2024: 3853-3862 - [c77]Dacao Zhang, Kun Zhang, Le Wu, Mi Tian, Richang Hong, Meng Wang:
Path-Specific Causal Reasoning for Fairness-aware Cognitive Diagnosis. KDD 2024: 4143-4154 - [c76]Jingwei Liu, Zhan Su, Le Wu, Lei Shi, Lihua Chi, Xujun Pan, Sam Huang, Yu Ning, Zhigang Gong:
Pass-Through ELSFP with Optional Integrated Optical Mux and Demux for Colorless CPO Systems. OFC 2024: 1-3 - [c75]Haoyue Bai, Le Wu, Min Hou, Miaomiao Cai, Zhuangzhuang He, Yuyang Zhou, Richang Hong, Meng Wang:
Multimodality Invariant Learning for Multimedia-Based New Item Recommendation. SIGIR 2024: 677-686 - [i38]Peijie Sun, Le Wu, Kun Zhang, Xiangzhi Chen, Meng Wang:
Neighborhood-Enhanced Supervised Contrastive Learning for Collaborative Filtering. CoRR abs/2402.11523 (2024) - [i37]Zhuangzhuang He, Yifan Wang, Yonghui Yang, Peijie Sun, Le Wu, Haoyue Bai, Jinqi Gong, Richang Hong, Min Zhang:
Double Correction Framework for Denoising Recommendation. CoRR abs/2405.11272 (2024) - [i36]Haoyue Bai, Le Wu, Min Hou, Miaomiao Cai, Zhuangzhuang He, Yuyang Zhou, Richang Hong, Meng Wang:
Multimodality Invariant Learning for Multimedia-Based New Item Recommendation. CoRR abs/2405.15783 (2024) - [i35]Miaomiao Cai, Lei Chen, Yifan Wang, Haoyue Bai, Peijie Sun, Le Wu, Min Zhang, Meng Wang:
Popularity-Aware Alignment and Contrast for Mitigating Popularity Bias. CoRR abs/2405.20718 (2024) - [i34]Dacao Zhang, Kun Zhang, Le Wu, Mi Tian, Richang Hong, Meng Wang:
Path-Specific Causal Reasoning for Fairness-aware Cognitive Diagnosis. CoRR abs/2406.03064 (2024) - [i33]Yonghui Yang, Le Wu, Zihan Wang, Zhuangzhuang He, Richang Hong, Meng Wang:
Graph Bottlenecked Social Recommendation. CoRR abs/2406.08214 (2024) - [i32]Zhuangzhuang He, Zihan Wang, Yonghui Yang, Haoyue Bai, Le Wu:
Boosting Multimedia Recommendation via Separate Generic and Unique Awareness. CoRR abs/2406.08270 (2024) - [i31]Shengwei Ji, Yujie Tian, Fei Liu, Xinlu Li, Le Wu:
PromptGCN: Bridging Subgraph Gaps in Lightweight GCNs. CoRR abs/2410.10089 (2024) - [i30]Fei Liu, Yizhong Zhang, Shuochen Liu, Shengwei Ji, Kui Yu, Le Wu:
Prompt Transfer for Dual-Aspect Cross Domain Cognitive Diagnosis. CoRR abs/2412.05004 (2024) - [i29]Min Hou, Yueying Wu, Chang Xu, Yu-Hao Huang, Chenxi Bai, Le Wu, Jiang Bian:
InvDiff: Invariant Guidance for Bias Mitigation in Diffusion Models. CoRR abs/2412.08480 (2024) - [i28]Zeyu Zhang, Jianxun Lian, Chen Ma, Yaning Qu, Ye Luo, Lei Wang, Rui Li, Xu Chen, Yankai Lin, Le Wu, Xing Xie, Ji-Rong Wen:
TrendSim: Simulating Trending Topics in Social Media Under Poisoning Attacks with LLM-based Multi-agent System. CoRR abs/2412.12196 (2024) - 2023
- [j43]Qingyao Ai, Ting Bai, Zhao Cao, Yi Chang, Jiawei Chen, Zhumin Chen, Zhiyong Cheng, Shoubin Dong, Zhicheng Dou, Fuli Feng, Shen Gao, Jiafeng Guo, Xiangnan He, Yanyan Lan, Chenliang Li, Yiqun Liu, Ziyu Lyu, Weizhi Ma, Jun Ma, Zhaochun Ren, Pengjie Ren, Zhiqiang Wang, Mingwen Wang, Ji-Rong Wen, Le Wu, Xin Xin, Jun Xu, Dawei Yin, Peng Zhang, Fan Zhang, Weinan Zhang, Min Zhang, Xiaofei Zhu:
Information Retrieval meets Large Language Models: A strategic report from Chinese IR community. AI Open 4: 80-90 (2023) - [j42]Ming He, Yan Chen, Hongke Zhao, Qi Liu, Le Wu, Yu Cui, Guihua Zeng, Guiquan Liu:
Composing Like an Ancient Chinese Poet: Learn to Generate Rhythmic Chinese Poetry. J. Comput. Sci. Technol. 38(6): 1272-1287 (2023) - [j41]Jia Chen, Jiahao Lin, Yongfei Hu, Meijun Ye, Linhui Yao, Le Wu, Wenhai Zhang, Meiyi Wang, Tingting Deng, Feng Guo, Yan Huang, Bofeng Zhu, Dong Wang:
RNADisease v4.0: an updated resource of RNA-associated diseases, providing RNA-disease analysis, enrichment and prediction. Nucleic Acids Res. 51(D1): 1397-1404 (2023) - [j40]Le Wu, Aiping Liu, Rabab K. Ward, Z. Jane Wang, Xun Chen:
Signal Processing for Brain-Computer Interfaces: A review and current perspectives. IEEE Signal Process. Mag. 40(5): 80-91 (2023) - [j39]Xi Chen, Yuanfei Xia, Yong Sun, Le Wu, Xiang Chen, Xun Chen, Xu Zhang:
Silent Speech Recognition Based on High-Density Surface Electromyogram Using Hybrid Neural Networks. IEEE Trans. Hum. Mach. Syst. 53(2): 335-345 (2023) - [j38]Kunpeng Liu, Yanjie Fu, Le Wu, Xiaolin Li, Charu Aggarwal, Hui Xiong:
Automated Feature Selection: A Reinforcement Learning Perspective. IEEE Trans. Knowl. Data Eng. 35(3): 2272-2284 (2023) - [j37]Le Wu, Xiangnan He, Xiang Wang, Kun Zhang, Meng Wang:
A Survey on Accuracy-Oriented Neural Recommendation: From Collaborative Filtering to Information-Rich Recommendation. IEEE Trans. Knowl. Data Eng. 35(5): 4425-4445 (2023) - [j36]Kun Zhang, Guangyi Lv, Le Wu, Enhong Chen, Qi Liu, Meng Wang:
LadRa-Net: Locally Aware Dynamic Reread Attention Net for Sentence Semantic Matching. IEEE Trans. Neural Networks Learn. Syst. 34(2): 853-866 (2023) - [j35]Kang Liu, Feng Xue, Dan Guo, Le Wu, Shujie Li, Richang Hong:
MEGCF: Multimodal Entity Graph Collaborative Filtering for Personalized Recommendation. ACM Trans. Inf. Syst. 41(2): 30:1-30:27 (2023) - [j34]Bin Wu, Xiangnan He, Le Wu, Xue Zhang, Yangdong Ye:
Graph-Augmented Co-Attention Model for Socio-Sequential Recommendation. IEEE Trans. Syst. Man Cybern. Syst. 53(7): 4039-4051 (2023) - [c74]Chen Zhao, Le Wu, Pengyang Shao, Kun Zhang, Richang Hong, Meng Wang:
Fair Representation Learning for Recommendation: A Mutual Information Perspective. AAAI 2023: 4911-4919 - [c73]Ke Tu, Wei Qu, Zhengwei Wu, Zhiqiang Zhang, Zhongyi Liu, Yiming Zhao, Le Wu, Jun Zhou, Guannan Zhang:
Disentangled Interest importance aware Knowledge Graph Neural Network for Fund Recommendation. CIKM 2023: 2482-2491 - [c72]Fei Liu, Xuegang Hu, Shuochen Liu, Chenyang Bu, Le Wu:
Meta Multi-agent Exercise Recommendation: A Game Application Perspective. KDD 2023: 1441-1452 - [c71]Haoyue Bai, Min Hou, Le Wu, Yonghui Yang, Kun Zhang, Richang Hong, Meng Wang:
GoRec: A Generative Cold-start Recommendation Framework. ACM Multimedia 2023: 1004-1012 - [c70]Xiangzhi Chen, Le Wu, Fei Liu, Lei Chen, Kun Zhang, Richang Hong, Meng Wang:
Disentangling Cognitive Diagnosis with Limited Exercise Labels. NeurIPS 2023 - [c69]Zheng Zhang, Qi Liu, Hao Jiang, Fei Wang, Yan Zhuang, Le Wu, Weibo Gao, Enhong Chen:
FairLISA: Fair User Modeling with Limited Sensitive Attributes Information. NeurIPS 2023 - [c68]Yonghui Yang, Zhengwei Wu, Le Wu, Kun Zhang, Richang Hong, Zhiqiang Zhang, Jun Zhou, Meng Wang:
Generative-Contrastive Graph Learning for Recommendation. SIGIR 2023: 1117-1126 - [c67]Jie Shuai, Le Wu, Kun Zhang, Peijie Sun, Richang Hong, Meng Wang:
Topic-enhanced Graph Neural Networks for Extraction-based Explainable Recommendation. SIGIR 2023: 1188-1197 - [c66]Defu Lian, Xu Huang, Xiaolong Chen, Jin Chen, Xingmei Wang, Yankai Wang, Haoran Jin, Rui Fan, Zheng Liu, Le Wu, Enhong Chen:
RecStudio: Towards a Highly-Modularized Recommender System. SIGIR 2023: 2890-2900 - [c65]Lei Chen, Le Wu, Kun Zhang, Richang Hong, Defu Lian, Zhiqiang Zhang, Jun Zhou, Meng Wang:
Improving Recommendation Fairness via Data Augmentation. WWW 2023: 1012-1020 - [i27]Lei Chen, Le Wu, Kun Zhang, Richang Hong, Defu Lian, Zhiqiang Zhang, Jun Zhou, Meng Wang:
Improving Recommendation Fairness via Data Augmentation. CoRR abs/2302.06333 (2023) - [i26]Kai Shu, Yuchang Zhao, Le Wu, Aiping Liu, Ruobing Qian, Xun Chen:
Data Augmentation for Seizure Prediction with Generative Diffusion Model. CoRR abs/2306.08256 (2023) - [i25]Kun Zhang, Le Wu, Guangyi Lv, Enhong Chen, Shulan Ruan, Jing Liu, Zhiqiang Zhang, Jun Zhou, Meng Wang:
Description-Enhanced Label Embedding Contrastive Learning for Text Classification. CoRR abs/2306.08817 (2023) - [i24]Yonghui Yang, Zhengwei Wu, Le Wu, Kun Zhang, Richang Hong, Zhiqiang Zhang, Jun Zhou, Meng Wang:
Generative Contrastive Graph Learning for Recommendation. CoRR abs/2307.05100 (2023) - [i23]Qingyao Ai, Ting Bai, Zhao Cao, Yi Chang, Jiawei Chen, Zhumin Chen, Zhiyong Cheng, Shoubin Dong, Zhicheng Dou, Fuli Feng, Shen Gao, Jiafeng Guo, Xiangnan He, Yanyan Lan, Chenliang Li, Yiqun Liu, Ziyu Lyu, Weizhi Ma, Jun Ma, Zhaochun Ren, Pengjie Ren, Zhiqiang Wang, Mingwen Wang, Ji-Rong Wen, Le Wu, Xin Xin, Jun Xu, Dawei Yin, Peng Zhang, Fan Zhang, Weinan Zhang, Min Zhang, Xiaofei Zhu:
Information Retrieval Meets Large Language Models: A Strategic Report from Chinese IR Community. CoRR abs/2307.09751 (2023) - 2022
- [j33]Bo Xue, Le Wu, Aiping Liu, Xu Zhang, Xiang Chen, Xun Chen:
Detecting the universal adversarial perturbations on high-density sEMG signals. Comput. Biol. Medicine 149: 105978 (2022) - [j32]Pengyang Shao, Le Wu, Lei Chen, Kun Zhang, Meng Wang:
FairCF: fairness-aware collaborative filtering. Sci. China Inf. Sci. 65(12) (2022) - [j31]Le Wu, Xun Chen, Xiang Chen, Xu Zhang:
Rejecting Novel Motions in High-Density Myoelectric Pattern Recognition Using Hybrid Neural Networks. Frontiers Neurorobotics 16: 862193 (2022) - [j30]Yu Su, Zeyu Cheng, Jinze Wu, Yanmin Dong, Zhenya Huang, Le Wu, Enhong Chen, Shijin Wang, Fei Xie:
Graph-based cognitive diagnosis for intelligent tutoring systems. Knowl. Based Syst. 253: 109547 (2022) - [j29]Guangyi Lv, Kun Zhang, Le Wu, Enhong Chen, Tong Xu, Qi Liu, Weidong He:
Understanding the Users and Videos by Mining a Novel Danmu Dataset. IEEE Trans. Big Data 8(2): 535-551 (2022) - [j28]Le Wu, Aiping Liu, Xu Zhang, Xiang Chen, Xun Chen:
Electrode Shift Robust CNN for High-Density Myoelectric Pattern Recognition Control. IEEE Trans. Instrum. Meas. 71: 1-10 (2022) - [j27]Le Wu, Junwei Li, Peijie Sun, Richang Hong, Yong Ge, Meng Wang:
DiffNet++: A Neural Influence and Interest Diffusion Network for Social Recommendation. IEEE Trans. Knowl. Data Eng. 34(10): 4753-4766 (2022) - [j26]Peijie Sun, Le Wu, Kun Zhang, Yu Su, Meng Wang:
An Unsupervised Aspect-Aware Recommendation Model with Explanation Text Generation. ACM Trans. Inf. Syst. 40(3): 63:1-63:29 (2022) - [c64]Jin Zhang, Qi Liu, Defu Lian, Zheng Liu, Le Wu, Enhong Chen:
Anisotropic Additive Quantization for Fast Inner Product Search. AAAI 2022: 4354-4362 - [c63]Kaifang Wu, Yonghui Yang, Kun Zhang, Le Wu, Jing Liu, Xin Li:
Multi-Relational Cognitive Diagnosis for Intelligent Education. CICAI (2) 2022: 425-437 - [c62]Haiping Ma, Manwei Li, Le Wu, Haifeng Zhang, Yunbo Cao, Xingyi Zhang, Xuemin Zhao:
Knowledge-Sensed Cognitive Diagnosis for Intelligent Education Platforms. CIKM 2022: 1451-1460 - [c61]Suchang Luo, Yonghui Yang, Kun Zhang, Peijie Sun, Le Wu, Richang Hong:
Self-Supervised Cross Domain Social Recommendation. ICCAI 2022: 286-292 - [c60]Chenyang Bu, Jiawei Zhang, Xingchen Yu, Le Wu, Xindong Wu:
Which Companies are Likely to Invest: Knowledge-graph-based Recommendation for Investment Promotion. ICDM 2022: 11-20 - [c59]Shiwei Tong, Jiayu Liu, Yuting Hong, Zhenya Huang, Le Wu, Qi Liu, Wei Huang, Enhong Chen, Dan Zhang:
Incremental Cognitive Diagnosis for Intelligent Education. KDD 2022: 1760-1770 - [c58]Minghao Zhao, Le Wu, Yile Liang, Lei Chen, Jian Zhang, Qilin Deng, Kai Wang, Xudong Shen, Tangjie Lv, Runze Wu:
Investigating Accuracy-Novelty Performance for Graph-based Collaborative Filtering. SIGIR 2022: 50-59 - [c57]Chao Feng, Defu Lian, Zheng Liu, Xing Xie, Le Wu, Enhong Chen:
Forest-based Deep Recommender. SIGIR 2022: 523-532 - [c56]Tao Qi, Fangzhao Wu, Chuhan Wu, Peijie Sun, Le Wu, Xiting Wang, Yongfeng Huang, Xing Xie:
ProFairRec: Provider Fairness-aware News Recommendation. SIGIR 2022: 1164-1173 - [c55]Jie Shuai, Kun Zhang, Le Wu, Peijie Sun, Richang Hong, Meng Wang, Yong Li:
A Review-aware Graph Contrastive Learning Framework for Recommendation. SIGIR 2022: 1283-1293 - [c54]Xiting Wang, Kunpeng Liu, Dongjie Wang, Le Wu, Yanjie Fu, Xing Xie:
Multi-level Recommendation Reasoning over Knowledge Graphs with Reinforcement Learning. WWW 2022: 2098-2108 - [i22]Tao Qi, Fangzhao Wu, Chuhan Wu, Peijie Sun, Le Wu, Xiting Wang, Yongfeng Huang, Xing Xie:
ProFairRec: Provider Fairness-aware News Recommendation. CoRR abs/2204.04724 (2022) - [i21]Jie Shuai, Kun Zhang, Le Wu, Peijie Sun, Richang Hong, Meng Wang, Yong Li:
A Review-aware Graph Contrastive Learning Framework for Recommendation. CoRR abs/2204.12063 (2022) - [i20]Minghao Zhao, Le Wu, Yile Liang, Lei Chen, Jian Zhang, Qilin Deng, Kai Wang, Xudong Shen, Tangjie Lv, Runze Wu:
Investigating Accuracy-Novelty Performance for Graph-based Collaborative Filtering. CoRR abs/2204.12326 (2022) - [i19]Kang Liu, Feng Xue, Dan Guo, Le Wu, Shujie Li, Richang Hong:
MEGCF: Multimodal Entity Graph Collaborative Filtering for Personalized Recommendation. CoRR abs/2210.07443 (2022) - 2021
- [j25]Bo Xue, Le Wu, Kun Wang, Xu Zhang, Juan Cheng, Xiang Chen, Xun Chen:
Multiuser gesture recognition using sEMG signals via canonical correlation analysis and optimal transport. Comput. Biol. Medicine 130: 104188 (2021) - [j24]Junwei Li, Le Wu, Richang Hong, Jinkui Hou:
Random walk based distributed representation learning and prediction on Social Networking Services. Inf. Sci. 549: 328-346 (2021) - [j23]Jianshan Sun, Mingyue Zhu, Yuanchun Jiang, Ye-Zheng Liu, Le Wu:
Hierarchical attention model for personalized tag recommendation. J. Assoc. Inf. Sci. Technol. 72(2): 173-189 (2021) - [j22]Le Wu, Xu Zhang, Xuan Zhang, Xiang Chen, Xun Chen:
Metric learning for novel motion rejection in high-density myoelectric pattern recognition. Knowl. Based Syst. 227: 107165 (2021) - [j21]Lu Yang, Ye-Zheng Liu, Yuanchun Jiang, Le Wu, Jianshan Sun:
Predicting personalized grouping and consumption: A collaborative evolution model. Knowl. Based Syst. 228: 107248 (2021) - [j20]Le Wu, Peijie Sun, Richang Hong, Yong Ge, Meng Wang:
Collaborative Neural Social Recommendation. IEEE Trans. Syst. Man Cybern. Syst. 51(1): 464-476 (2021) - [j19]Richang Hong, Yuan He, Le Wu, Yong Ge, Xindong Wu:
Deep Attributed Network Embedding by Preserving Structure and Attribute Information. IEEE Trans. Syst. Man Cybern. Syst. 51(3): 1434-1445 (2021) - [j18]Kun Zhang, Guangyi Lv, Le Wu, Enhong Chen, Qi Liu, Han Wu, Xing Xie, Fangzhao Wu:
Multilevel Image-Enhanced Sentence Representation Net for Natural Language Inference. IEEE Trans. Syst. Man Cybern. Syst. 51(6): 3781-3795 (2021) - [c53]Kun Zhang, Le Wu, Guangyi Lv, Meng Wang, Enhong Chen, Shulan Ruan:
Making the Relation Matters: Relation of Relation Learning Network for Sentence Semantic Matching. AAAI 2021: 14411-14419 - [c52]Dan Lu, Le Wu, Rui Chen, Qilong Han, Yichen Wang, Yong Ge:
Modeling Dynamic Spatial Influence for Air Quality Prediction with Atmospheric Prior. APWeb/WAIM (2) 2021: 384-398 - [c51]Jingyu Peng, Le Wu, Peijie Sun, Meng Wang:
Meta-learned ID Embeddings for Online Inductive Recommendation. CCIR 2021: 32-44 - [c50]Bo Xue, Le Wu, Aiping Liu, Xu Zhang, Xun Chen:
White-Box Attacks on the CNN-Based Myoelectric Control System. CICAI 2021: 149-157 - [c49]Min Hou, Chang Xu, Yang Liu, Weiqing Liu, Jiang Bian, Le Wu, Zhi Li, Enhong Chen, Tie-Yan Liu:
Stock Trend Prediction with Multi-granularity Data: A Contrastive Learning Approach with Adaptive Fusion. CIKM 2021: 700-709 - [c48]Shan Wang, Le Wu, Qiaomin Gong:
The Collocations of Chinese Color Words. CLSW (1) 2021: 121-143 - [c47]Yonghui Yang, Le Wu, Richang Hong, Kun Zhang, Meng Wang:
Enhanced Graph Learning for Collaborative Filtering via Mutual Information Maximization. SIGIR 2021: 71-80 - [c46]Lei Chen, Le Wu, Kun Zhang, Richang Hong, Meng Wang:
Set2setRank: Collaborative Set to Set Ranking for Implicit Feedback based Recommendation. SIGIR 2021: 585-594 - [c45]Shuai Wang, Kun Zhang, Le Wu, Haiping Ma, Richang Hong, Meng Wang:
Privileged Graph Distillation for Cold Start Recommendation. SIGIR 2021: 1187-1196 - [c44]Le Wu, Lei Chen, Pengyang Shao, Richang Hong, Xiting Wang, Meng Wang:
Learning Fair Representations for Recommendation: A Graph-based Perspective. WWW 2021: 2198-2208 - [i18]Le Wu, Lei Chen, Pengyang Shao, Richang Hong, Xiting Wang, Meng Wang:
Learning Fair Representations for Bipartite Graph based Recommendation. CoRR abs/2102.09140 (2021) - [i17]Le Wu, Xiangnan He, Xiang Wang, Kun Zhang, Meng Wang:
A Survey on Neural Recommendation: From Collaborative Filtering to Content and Context Enriched Recommendation. CoRR abs/2104.13030 (2021) - [i16]Lei Chen, Le Wu, Kun Zhang, Richang Hong, Meng Wang:
Set2setRank: Collaborative Set to Set Ranking for Implicit Feedback based Recommendation. CoRR abs/2105.07377 (2021) - [i15]Shuai Wang, Kun Zhang, Le Wu, Haiping Ma, Richang Hong, Meng Wang:
Privileged Graph Distillation for Cold Start Recommendation. CoRR abs/2105.14975 (2021) - [i14]Kun Zhang, Guangyi Lv, Le Wu, Enhong Chen, Qi Liu, Meng Wang:
LadRa-Net: Locally-Aware Dynamic Re-read Attention Net for Sentence Semantic Matching. CoRR abs/2108.02915 (2021) - 2020
- [j17]Ming He, Hao Guo, Guangyi Lv, Le Wu, Yong Ge, Enhong Chen, Haiping Ma:
Leveraging proficiency and preference for online Karaoke recommendation. Frontiers Comput. Sci. 14(2): 273-290 (2020) - [j16]Xin Jin, Le Wu, Geng Zhao, Xinghui Zhou, Xiaokun Zhang, Xiaodong Li:
IDEA: A new dataset for image aesthetic scoring. Multim. Tools Appl. 79(21-22): 14341-14355 (2020) - [j15]Xu Zhang, Le Wu, Bin Yu, Xiang Chen, Xun Chen:
Adaptive Calibration of Electrode Array Shifts Enables Robust Myoelectric Control. IEEE Trans. Biomed. Eng. 67(7): 1947-1957 (2020) - [j14]Bin Yu, Xu Zhang, Le Wu, Xiang Chen, Xun Chen:
A Novel Postprocessing Method for Robust Myoelectric Pattern-Recognition Control Through Movement Pattern Transition Detection. IEEE Trans. Hum. Mach. Syst. 50(1): 32-41 (2020) - [j13]Junwei Li, Le Wu, Richang Hong, Kun Zhang, Yong Ge, Yan Li:
A Joint Neural Model for User Behavior Prediction on Social Networking Platforms. ACM Trans. Intell. Syst. Technol. 11(6): 72:1-72:25 (2020) - [j12]Le Wu, Lei Chen, Richang Hong, Yanjie Fu, Xing Xie, Meng Wang:
A Hierarchical Attention Model for Social Contextual Image Recommendation. IEEE Trans. Knowl. Data Eng. 32(10): 1854-1867 (2020) - [j11]Zhenya Huang, Qi Liu, Yuying Chen, Le Wu, Keli Xiao, Enhong Chen, Haiping Ma, Guoping Hu:
Learning or Forgetting? A Dynamic Approach for Tracking the Knowledge Proficiency of Students. ACM Trans. Inf. Syst. 38(2): 19:1-19:33 (2020) - [c43]Lei Chen, Le Wu, Richang Hong, Kun Zhang, Meng Wang:
Revisiting Graph Based Collaborative Filtering: A Linear Residual Graph Convolutional Network Approach. AAAI 2020: 27-34 - [c42]Yongji Wu, Defu Lian, Yiheng Xu, Le Wu, Enhong Chen:
Graph Convolutional Networks with Markov Random Field Reasoning for Social Spammer Detection. AAAI 2020: 1054-1061 - [c41]Junmei Bao, Yangguang Ji, Yonghui Yang, Le Wu, Ruiji Fu:
ResFusion: A Residual Learning Based Fusion Framework for CTR Prediction. CCIR 2020: 29-41 - [c40]Shan Wang, Le Wu, Qiaomin Gong:
The Collocations of Chinese Tactile Adjectives. CLSW 2020: 711-733 - [c39]Depeng Wang, Zhenzhen Hu, Yuanen Zhou, Xueliang Liu, Le Wu, Richang Hong:
A Text-Guided Graph Structure for Image Captioning. ICME Workshops 2020: 1-6 - [c38]Xin Wang, Wei Huang, Qi Liu, Yu Yin, Zhenya Huang, Le Wu, Jianhui Ma, Xue Wang:
Fine-Grained Similarity Measurement between Educational Videos and Exercises. ACM Multimedia 2020: 331-339 - [c37]Le Wu, Yonghui Yang, Kun Zhang, Richang Hong, Yanjie Fu, Meng Wang:
Joint Item Recommendation and Attribute Inference: An Adaptive Graph Convolutional Network Approach. SIGIR 2020: 679-688 - [c36]Le Wu, Yonghui Yang, Lei Chen, Defu Lian, Richang Hong, Meng Wang:
Learning to Transfer Graph Embeddings for Inductive Graph based Recommendation. SIGIR 2020: 1211-1220 - [c35]Peijie Sun, Le Wu, Kun Zhang, Yanjie Fu, Richang Hong, Meng Wang:
Dual Learning for Explainable Recommendation: Towards Unifying User Preference Prediction and Review Generation. WWW 2020: 837-847 - [i13]Lei Chen, Le Wu, Richang Hong, Kun Zhang, Meng Wang:
Revisiting Graph based Collaborative Filtering: A Linear Residual Graph Convolutional Network Approach. CoRR abs/2001.10167 (2020) - [i12]Le Wu, Junwei Li, Peijie Sun, Richang Hong, Yong Ge, Meng Wang:
DiffNet++: A Neural Influence and Interest Diffusion Network for Social Recommendation. CoRR abs/2002.00844 (2020) - [i11]Le Wu, Yonghui Yang, Lei Chen, Defu Lian, Richang Hong, Meng Wang:
Learning to Transfer Graph Embeddings for Inductive Graph based Recommendation. CoRR abs/2005.11724 (2020) - [i10]Le Wu, Yonghui Yang, Kun Zhang, Richang Hong, Yanjie Fu, Meng Wang:
Joint Item Recommendation and Attribute Inference: An Adaptive Graph Convolutional Network Approach. CoRR abs/2005.12021 (2020) - [i9]Kun Zhang, Le Wu, Guangyi Lv, Meng Wang, Enhong Chen, Shulan Ruan:
R2-Net: Relation of Relation Learning Network for Sentence Semantic Matching. CoRR abs/2012.08920 (2020)
2010 – 2019
- 2019
- [j10]Suchang Luo, Lei Chen, Le Wu:
Learning from visual content and style: an image-enhanced recommendation model. CCF Trans. Pervasive Comput. Interact. 1(4): 275-284 (2019) - [j9]Le Wu, Xin Jin, Geng Zhao, Xinghui Zhou:
Two open-source projects for image aesthetic quality assessment. Sci. China Inf. Sci. 62(2): 27101:1-27101:2 (2019) - [j8]Xin Jin, Le Wu, Xiaodong Li, Xiaokun Zhang, Jingying Chi, Siwei Peng, Shiming Ge, Geng Zhao, Shuying Li:
ILGNet: inception modules with connected local and global features for efficient image aesthetic quality classification using domain adaptation. IET Comput. Vis. 13(2): 206-212 (2019) - [j7]Xin Jin, Yujie Li, Shiming Ge, Chenggen Song, Le Wu, Xinghui Zhou:
Secure face retrieval for group mobile users. Soft Comput. 23(23): 12813-12820 (2019) - [j6]Lei Chen, Le Wu, Zhenzhen Hu, Meng Wang:
Quality-Aware Unpaired Image-to-Image Translation. IEEE Trans. Multim. 21(10): 2664-2674 (2019) - [c34]Yanjie Fu, Pengyang Wang, Jiadi Du, Le Wu, Xiaolin Li:
Efficient Region Embedding with Multi-View Spatial Networks: A Perspective of Locality-Constrained Spatial Autocorrelations. AAAI 2019: 906-913 - [c33]Kun Zhang, Guangyi Lv, Linyuan Wang, Le Wu, Enhong Chen, Fangzhao Wu, Xing Xie:
DRr-Net: Dynamic Re-Read Network for Sentence Semantic Matching. AAAI 2019: 7442-7449 - [c32]Tong Luo, Xu Zhang, Le Wu, Xi Chen, Xiang Chen, Xun Chen:
Convolutional Neural Network with Data Augmentation for Robust Myoelectric Control. CIVEMSA 2019: 1-5 - [c31]Le Wu, Xu Zhang, Xiang Chen, Xun Chen:
Visualized Evidences for Detecting Novelty in Myoelectric Pattern Recognition using 3D Convolutional Neural Networks. EMBC 2019: 2641-2644 - [c30]Le Wu, Lei Chen, Yonghui Yang, Richang Hong, Yong Ge, Xing Xie, Meng Wang:
Personalized Multimedia Item and Key Frame Recommendation. IJCAI 2019: 1431-1437 - [c29]Min Hou, Le Wu, Enhong Chen, Zhi Li, Vincent W. Zheng, Qi Liu:
Explainable Fashion Recommendation: A Semantic Attribute Region Guided Approach. IJCAI 2019: 4681-4688 - [c28]Kunpeng Liu, Yanjie Fu, Pengfei Wang, Le Wu, Rui Bo, Xiaolin Li:
Automating Feature Subspace Exploration via Multi-Agent Reinforcement Learning. KDD 2019: 207-215 - [c27]Xin Jin, Le Wu, Geng Zhao, Xiaodong Li, Xiaokun Zhang, Shiming Ge, Dongqing Zou, Bin Zhou, Xinghui Zhou:
Aesthetic Attributes Assessment of Images. ACM Multimedia 2019: 311-319 - [c26]Kun Zhang, Guangyi Lv, Enhong Chen, Le Wu, Qi Liu, C. L. Philip Chen:
Context-Aware Dual-Attention Network for Natural Language Inference. PAKDD (3) 2019: 185-198 - [c25]Le Wu, Peijie Sun, Yanjie Fu, Richang Hong, Xiting Wang, Meng Wang:
A Neural Influence Diffusion Model for Social Recommendation. SIGIR 2019: 235-244 - [p1]Xin Jin, Le Wu, Geng Zhao, Xinghui Zhou, Xiaokun Zhang, Xiaodong Li:
Photo Aesthetic Scoring Through Spatial Aggregation Perception DCNN on a New IDEA Dataset. Cognitive Internet of Things 2019: 41-50 - [i8]Lei Chen, Le Wu, Zhenzhen Hu, Meng Wang:
Quality-aware Unpaired Image-to-Image Translation. CoRR abs/1903.06399 (2019) - [i7]Le Wu, Peijie Sun, Yanjie Fu, Richang Hong, Xiting Wang, Meng Wang:
A Neural Influence Diffusion Model for Social Recommendation. CoRR abs/1904.10322 (2019) - [i6]Min Hou, Le Wu, Enhong Chen, Zhi Li, Vincent W. Zheng, Qi Liu:
Explainable Fashion Recommendation: A Semantic Attribute Region Guided Approach. CoRR abs/1905.12862 (2019) - [i5]Le Wu, Lei Chen, Yonghui Yang, Richang Hong, Yong Ge, Xing Xie, Meng Wang:
Personalized Multimedia Item and Key Frame Recommendation. CoRR abs/1906.00246 (2019) - [i4]Xin Jin, Le Wu, Geng Zhao, Xiaodong Li, Xiaokun Zhang, Shiming Ge, Dongqing Zou, Bin Zhou, Xinghui Zhou:
Aesthetic Attributes Assessment of Images. CoRR abs/1907.04983 (2019) - 2018
- [j5]Qi Liu, Hongke Zhao, Le Wu, Zhi Li, En-Hong Chen:
Illuminating Recommendation by Understanding the Explicit Item Relations. J. Comput. Sci. Technol. 33(4): 739-755 (2018) - [j4]Le Wu, Qi Liu, Richang Hong, Enhong Chen, Yong Ge, Xing Xie, Meng Wang:
Product Adoption Rate Prediction in a Competitive Market. IEEE Trans. Knowl. Data Eng. 30(2): 325-338 (2018) - [c24]Xin Jin, Le Wu, Xiaodong Li, Siyu Chen, Siwei Peng, Jingying Chi, Shiming Ge, Chenggen Song, Geng Zhao:
Predicting Aesthetic Score Distribution Through Cumulative Jensen-Shannon Divergence. AAAI 2018: 77-84 - [c23]Runlong Yu, Yunzhou Zhang, Yuyang Ye, Le Wu, Chao Wang, Qi Liu, Enhong Chen:
Multiple Pairwise Ranking with Implicit Feedback. CIKM 2018: 1727-1730 - [c22]Xiting Wang, Yiru Chen, Jie Yang, Le Wu, Zhengtao Wu, Xing Xie:
A Reinforcement Learning Framework for Explainable Recommendation. ICDM 2018: 587-596 - [c21]Kun Zhang, Guangyi Lv, Le Wu, Enhong Chen, Qi Liu, Han Wu, Fangzhao Wu:
Image-Enhanced Multi-level Sentence Representation Net for Natural Language Inference. ICDM 2018: 747-756 - [c20]Tianxiang Zhao, Guiquan Liu, Le Wu, Chao Ma, Enhong Chen:
Zero-Shot Learning: An Energy Based Approach. ICDM 2018: 797-806 - [c19]Hongfeng Bao, Le Wu, Peijie Sun:
Contextual Attention Model for Social Recommendation. PCM (2) 2018: 630-641 - [c18]Xin Jin, Le Wu, Xinghui Zhou, Geng Zhao, Xiaokun Zhang, Xiaodong Li, Shiming Ge:
Predicting Aesthetic Radar Map Using a Hierarchical Multi-task Network. PRCV (2) 2018: 41-50 - [c17]Peijie Sun, Le Wu, Meng Wang:
Attentive Recurrent Social Recommendation. SIGIR 2018: 185-194 - [i3]Le Wu, Yong Ge, Qi Liu, Enhong Chen, Richang Hong, Meng Wang, Junping Du:
Explainable Social Contextual Image Recommendation with Hierarchical Attention. CoRR abs/1806.00723 (2018) - [i2]Le Wu, Peijie Sun, Richang Hong, Yanjie Fu, Xiting Wang, Meng Wang:
SocialGCN: An Efficient Graph Convolutional Network based Model for Social Recommendation. CoRR abs/1811.02815 (2018) - 2017
- [j3]Le Wu, Yong Ge, Qi Liu, Enhong Chen, Richang Hong, Junping Du, Meng Wang:
Modeling the Evolution of Users' Preferences and Social Links in Social Networking Services. IEEE Trans. Knowl. Data Eng. 29(6): 1240-1253 (2017) - [c16]Yuying Chen, Qi Liu, Zhenya Huang, Le Wu, Enhong Chen, Run-ze Wu, Yu Su, Guoping Hu:
Tracking Knowledge Proficiency of Students with Educational Priors. CIKM 2017: 989-998 - [c15]Peng Yue, Le Wu, Zongmin Cui:
Integrating LTE-D2D and VLC techniques to support V2V communication. ICCC 2017: 1-6 - [c14]Wenjuan Yang, Le Wu, Xueliang Liu, Chunxiao Fan:
MFCC: An Efficient and Effective Matrix Factorization Model Based on Co-clustering. ICIMCS 2017: 360-370 - [c13]Xunpeng Huang, Le Wu, Enhong Chen, Hengshu Zhu, Qi Liu, Yijun Wang:
Incremental Matrix Factorization: A Linear Feature Transformation Perspective. IJCAI 2017: 1901-1908 - [c12]Hongke Zhao, Hefu Zhang, Yong Ge, Qi Liu, Enhong Chen, Huayu Li, Le Wu:
Tracking the Dynamics in Crowdfunding. KDD 2017: 625-634 - [i1]Xin Jin, Le Wu, Chenggen Song, Xiaodong Li, Geng Zhao, Siyu Chen, Jingying Chi, Siwei Peng, Shiming Ge:
Predicting Aesthetic Score Distribution through Cumulative Jensen-Shannon Divergence. CoRR abs/1708.07089 (2017) - 2016
- [j2]Le Wu, Qi Liu, Enhong Chen, Nicholas Jing Yuan, Guangming Guo, Xing Xie:
Relevance Meets Coverage: A Unified Framework to Generate Diversified Recommendations. ACM Trans. Intell. Syst. Technol. 7(3): 39:1-39:30 (2016) - [j1]Guangming Guo, Feida Zhu, Enhong Chen, Qi Liu, Le Wu, Chu Guan:
From Footprint to Evidence: An Exploratory Study of Mining Social Data for Credit Scoring. ACM Trans. Web 10(4): 22:1-22:38 (2016) - [c11]Le Wu, Yong Ge, Qi Liu, Enhong Chen, Bai Long, Zhenya Huang:
Modeling Users' Preferences and Social Links in Social Networking Services: A Joint-Evolving Perspective. AAAI 2016: 279-286 - [c10]Ming He, Yong Ge, Le Wu, Enhong Chen, Chang Tan:
Predicting the Popularity of DanMu-enabled Videos: A Multi-factor View. DASFAA (2) 2016: 351-366 - [c9]Yijun Wang, Le Wu, Zongda Wu, Enhong Chen, Qi Liu:
Selecting Valuable Customers for Merchants in E-Commerce Platforms. ICDM 2016: 1281-1286 - [c8]Guangming Guo, Feida Zhu, Enhong Chen, Le Wu, Qi Liu, Yingling Liu, Minghui Qiu:
Personal Credit Profiling via Latent User Behavior Dimensions on Social Media. PAKDD (2) 2016: 130-142 - 2015
- [c7]Le Wu, Yin Zhu, Nicholas Jing Yuan, Enhong Chen, Xing Xie, Yong Rui:
Predicting Smartphone Adoption in Social Networks. PAKDD (1) 2015: 472-485 - [c6]Guowei Ma, Qi Liu, Le Wu, Enhong Chen:
Identifying Hesitant and Interested Customers for Targeted Social Marketing. PAKDD (1) 2015: 576-590 - [c5]Le Wu, Qi Liu, Enhong Chen, Xing Xie, Chang Tan:
Product Adoption Rate Prediction: A Multi-factor View. SDM 2015: 154-162 - 2014
- [c4]Hongke Zhao, Le Wu, Qi Liu, Yong Ge, Enhong Chen:
Investment Recommendation in P2P Lending: A Portfolio Perspective with Risk Management. ICDM 2014: 1109-1114 - 2013
- [c3]Le Wu, Min-Ling Zhang:
Multi-Label Classification with Unlabeled Data: An Inductive Approach. ACML 2013: 197-212 - [c2]Gang Xu, Linli Xu, Le Wu:
Utilizing Social and Behavioral Neighbors for Personalized Recommendation. ISNN (2) 2013: 541-551 - 2012
- [c1]Le Wu, Enhong Chen, Qi Liu, Linli Xu, Tengfei Bao, Lei Zhang:
Leveraging tagging for neighborhood-aware probabilistic matrix factorization. CIKM 2012: 1854-1858
Coauthor Index
Enhong Chen
aka: En-Hong Chen
aka: En-Hong Chen
[j56] [j52] [j49] [j45] [c79] [c78] [c77] [c75] [i37] [i36] [i34] [i33] [j35] [c74] [c71] [c70] [c68] [c67] [c65] [i27] [i24] [j27] [c61] [c55] [i21] [i19] [j24] [j20] [j19] [c47] [c46] [c45] [c44] [i18] [i16] [i15] [j13] [j12] [c43] [c39] [c37] [c36] [c35] [i13] [i12] [i11] [i10] [c30] [c25] [i7] [i5] [j4] [i3] [i2] [j3]
[j56] [j51] [j50] [j49] [j47] [j45] [c80] [c78] [c77] [c75] [i38] [i36] [i35] [i34] [i33] [j37] [j36] [c74] [c71] [c70] [c68] [c67] [c65] [i27] [i25] [i24] [j32] [j27] [j26] [c55] [i21] [j20] [c53] [c51] [c47] [c46] [c45] [c44] [i18] [i17] [i16] [i15] [i14] [j12] [c43] [c37] [c36] [c35] [i13] [i12] [i11] [i10] [i9] [j6] [c30] [c25] [i8] [i7] [i5] [j4] [c17] [i3] [i2] [j3]
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