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Richong Zhang
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2020 – today
- 2024
- [j33]Junfan Chen
, Richong Zhang
, Xiaohan Jiang
, Chunming Hu
:
SPContrastNet: A Self-Paced Contrastive Learning Model for Few-Shot Text Classification. ACM Trans. Inf. Syst. 42(5): 130:1-130:25 (2024) - [c107]Mingxin Li, Richong Zhang, Zhijie Nie, Yongyi Mao:
Narrowing the Gap between Supervised and Unsupervised Sentence Representation Learning with Large Language Model. AAAI 2024: 13590-13599 - [c106]Fanshuang Kong, Richong Zhang, Ziqiao Wang, Yongyi Mao:
On Unsupervised Domain Adaptation: Pseudo Label Guided Mixup for Adversarial Prompt Tuning. AAAI 2024: 18399-18407 - [c105]Zhijie Nie, Richong Zhang, Zhongyuan Wang, Xudong Liu:
Code-Style In-Context Learning for Knowledge-Based Question Answering. AAAI 2024: 18833-18841 - [c104]Junfan Chen, Richong Zhang, Junchi Chen, Chunming Hu:
Open-Set Semi-Supervised Text Classification via Adversarial Disagreement Maximization. ACL (1) 2024: 2170-2180 - [c103]Yani Huang, Xuefeng Zhang, Richong Zhang, Junfan Chen, Jaein Kim:
Progressively Modality Freezing for Multi-Modal Entity Alignment. ACL (1) 2024: 3477-3489 - [c102]Mingxin Li, Richong Zhang, Zhijie Nie:
Towards Better Understanding of Contrastive Sentence Representation Learning: A Unified Paradigm for Gradient. ACL (1) 2024: 14506-14521 - [c101]Yuan Ren, Xutong Li, Xudong Liu, Richong Zhang:
Few-Shot KBQA Method Based on Multi-Task Learning. BigComp 2024: 226-233 - [c100]Zhijie Nie, Richong Zhang, Zhangchi Feng, Hailang Huang, Xudong Liu:
Improving the Consistency in Cross-Lingual Cross-Modal Retrieval with 1-to-K Contrastive Learning. KDD 2024: 2272-2283 - [c99]Dezhi Liu
, Richong Zhang
, Junfan Chen
, Xinyue Chen
:
Author Name Disambiguation via Paper Association Refinement and Compositional Contrastive Embedding. WWW 2024: 2193-2203 - [c98]Xiyang Liu
, Chunming Hu
, Richong Zhang
, Kai Sun
, Samuel Mensah
, Yongyi Mao
:
Multimodal Relation Extraction via a Mixture of Hierarchical Visual Context Learners. WWW 2024: 4283-4294 - [c97]Junfan Chen
, Richong Zhang
, Jiarui Wang
, Chunming Hu
, Yongyi Mao
:
Self-Paced Pairwise Representation Learning for Semi-Supervised Text Classification. WWW 2024: 4352-4361 - [c96]Junfan Chen
, Richong Zhang
, Yaowei Zheng
, Qianben Chen
, Chunming Hu
, Yongyi Mao
:
DualCL: Principled Supervised Contrastive Learning as Mutual Information Maximization for Text Classification. WWW 2024: 4362-4371 - [i33]Mingxin Li, Richong Zhang, Zhijie Nie:
Towards Better Understanding of Contrastive Sentence Representation Learning: A Unified Paradigm for Gradient. CoRR abs/2402.18281 (2024) - [i32]Yaowei Zheng, Richong Zhang, Junhao Zhang, Yanhan Ye, Zheyan Luo, Yongqiang Ma:
LlamaFactory: Unified Efficient Fine-Tuning of 100+ Language Models. CoRR abs/2403.13372 (2024) - [i31]Zhangchi Feng, Richong Zhang, Zhijie Nie:
Improving Composed Image Retrieval via Contrastive Learning with Scaling Positives and Negatives. CoRR abs/2404.11317 (2024) - [i30]Zhuoran Li, Chunming Hu, Junfan Chen, Zhijun Chen, Xiaohui Guo, Richong Zhang:
Improving Zero-Shot Cross-Lingual Transfer via Progressive Code-Switching. CoRR abs/2406.13361 (2024) - [i29]Zhijie Nie, Richong Zhang, Zhanyu Wu:
A Text is Worth Several Tokens: Text Embedding from LLMs Secretly Aligns Well with The Key Tokens. CoRR abs/2406.17378 (2024) - [i28]Zhijie Nie, Richong Zhang, Zhangchi Feng, Hailang Huang, Xudong Liu:
Improving the Consistency in Cross-Lingual Cross-Modal Retrieval with 1-to-K Contrastive Learning. CoRR abs/2406.18254 (2024) - [i27]Yani Huang, Xuefeng Zhang, Richong Zhang, Junfan Chen, Jaein Kim:
Progressively Modality Freezing for Multi-Modal Entity Alignment. CoRR abs/2407.16168 (2024) - 2023
- [j32]Jiaran Li, Richong Zhang, Samuel Mensah, Wenyi Qin, Chunming Hu:
Classification-oriented dawid skene model for transferring intelligence from crowds to machines. Frontiers Comput. Sci. 17(5): 175332 (2023) - [j31]Masoumeh Soflaei
, Richong Zhang
, Hongyu Guo
, Ali Al-Bashabsheh
, Yongyi Mao
:
Information Bottleneck and Aggregated Learning. IEEE Trans. Pattern Anal. Mach. Intell. 45(12): 14807-14820 (2023) - [j30]Xuefeng Zhang
, Richong Zhang
, Junfan Chen
, Jaein Kim, Yongyi Mao:
Semi-Supervised Entity Alignment With Global Alignment and Local Information Aggregation. IEEE Trans. Knowl. Data Eng. 35(10): 10464-10477 (2023) - [j29]Junfan Chen
, Richong Zhang
, Jie Xu, Chunming Hu
, Yongyi Mao:
A Neural Expectation-Maximization Framework for Noisy Multi-Label Text Classification. IEEE Trans. Knowl. Data Eng. 35(11): 10992-11003 (2023) - [j28]Kai Sun
, Richong Zhang
, Samuel Mensah
, Yongyi Mao
, Xudong Liu:
Learning Implicit and Explicit Multi-task Interactions for Information Extraction. ACM Trans. Inf. Syst. 41(2): 27:1-27:29 (2023) - [j27]Richong Zhang
, Jaein Kim
, Jiajie Mei
, Yongyi Mao
:
Knowledge Base Embedding for Sampling-Based Prediction. ACM Trans. Inf. Syst. 41(2): 28:1-28:25 (2023) - [c95]Junfan Chen, Richong Zhang, Zheyan Luo, Chunming Hu, Yongyi Mao:
Adversarial Word Dilution as Text Data Augmentation in Low-Resource Regime. AAAI 2023: 12626-12634 - [c94]Jirui Qi, Richong Zhang, Jaein Kim, Junfan Chen, Wenyi Qin, Yongyi Mao:
Multi-Mask Label Mapping for Prompt-Based Learning. AAAI 2023: 13465-13473 - [c93]Likang Xiao, Richong Zhang, Zijie Chen, Junfan Chen:
Tucker Decomposition with Frequency Attention for Temporal Knowledge Graph Completion. ACL (Findings) 2023: 7286-7300 - [c92]Weiyi Yang, Richong Zhang, Junfan Chen, Lihong Wang, Jaein Kim:
Prototype-Guided Pseudo Labeling for Semi-Supervised Text Classification. ACL (1) 2023: 16369-16382 - [c91]Chonggang Lu, Richong Zhang, Kai Sun, Jaein Kim, Cunwang Zhang, Yongyi Mao:
Anaphor Assisted Document-Level Relation Extraction. EMNLP 2023: 15453-15464 - [c90]Zhijie Nie, Richong Zhang, Yongyi Mao:
On The Inadequacy of Optimizing Alignment and Uniformity in Contrastive Learning of Sentence Representations. ICLR 2023 - [c89]Junfan Chen
, Richong Zhang
, Junchi Chen
, Chunming Hu
, Yongyi Mao
:
Open-Set Semi-Supervised Text Classification with Latent Outlier Softening. KDD 2023: 226-236 - [c88]Likang Xiao, Richong Zhang, Zijie Chen, Junfan Chen:
Tucker Decomposition with Frequency Attention for Temporal Knowledge Graph Completion. RepL4NLP@ACL 2023: 253-265 - [c87]Xuefeng Zhang
, Richong Zhang
, Xiaoyang Li
, Fanshuang Kong
, Junfan Chen
, Samuel Mensah
, Yongyi Mao
:
Word Sense Disambiguation by Refining Target Word Embedding. WWW 2023: 1405-1414 - [c86]Kai Sun
, Richong Zhang
, Samuel Mensah
, Nikolaos Aletras
, Yongyi Mao
, Xudong Liu
:
Self-training through Classifier Disagreement for Cross-Domain Opinion Target Extraction. WWW 2023: 1594-1603 - [i26]Kai Sun, Richong Zhang, Samuel Mensah, Nikolaos Aletras, Yongyi Mao, Xudong Liu:
Self-training through Classifier Disagreement for Cross-Domain Opinion Target Extraction. CoRR abs/2302.14719 (2023) - [i25]Junfan Chen, Richong Zhang, Yongyi Mao, Jie Xu:
ContrastNet: A Contrastive Learning Framework for Few-Shot Text Classification. CoRR abs/2305.09269 (2023) - [i24]Junfan Chen, Richong Zhang, Zheyan Luo, Chunming Hu, Yongyi Mao:
AdversarialWord Dilution as Text Data Augmentation in Low-Resource Regime. CoRR abs/2305.09287 (2023) - [i23]Keqin Chen, Zhao Zhang, Weili Zeng, Richong Zhang, Feng Zhu, Rui Zhao:
Shikra: Unleashing Multimodal LLM's Referential Dialogue Magic. CoRR abs/2306.15195 (2023) - [i22]Zhijie Nie, Richong Zhang, Zhongyuan Wang, Xudong Liu:
Code-Style In-Context Learning for Knowledge-Based Question Answering. CoRR abs/2309.04695 (2023) - [i21]Mingxin Li, Richong Zhang, Zhijie Nie, Yongyi Mao:
Narrowing the Gap between Supervised and Unsupervised Sentence Representation Learning with Large Language Model. CoRR abs/2309.06453 (2023) - [i20]Chonggang Lu, Richong Zhang, Kai Sun, Jaein Kim, Cunwang Zhang, Yongyi Mao:
Anaphor Assisted Document-Level Relation Extraction. CoRR abs/2310.18604 (2023) - 2022
- [j26]Han Bao
, Richong Zhang, Yongyi Mao:
The capacity of the dense associative memory networks. Neurocomputing 469: 198-208 (2022) - [j25]Junshuang Wu
, Richong Zhang
, Yongyi Mao, Jinpeng Huai:
Dealing With Hierarchical Types and Label Noise in Fine-Grained Entity Typing. IEEE ACM Trans. Audio Speech Lang. Process. 30: 1305-1318 (2022) - [j24]Richong Zhang
, Qianben Chen
, Yaowei Zheng
, Samuel Mensah
, Yongyi Mao:
Aspect-Level Sentiment Analysis via a Syntax-Based Neural Network. IEEE ACM Trans. Audio Speech Lang. Process. 30: 2568-2583 (2022) - [c85]Junfan Chen, Richong Zhang, Yongyi Mao, Jie Xu:
ContrastNet: A Contrastive Learning Framework for Few-Shot Text Classification. AAAI 2022: 10492-10500 - [c84]Yanzhao Zhang, Richong Zhang, Samuel Mensah, Xudong Liu, Yongyi Mao:
Unsupervised Sentence Representation via Contrastive Learning with Mixing Negatives. AAAI 2022: 11730-11738 - [c83]Zhuoran Li, Chunming Hu, Xiaohui Guo, Junfan Chen, Wenyi Qin, Richong Zhang:
An Unsupervised Multiple-Task and Multiple-Teacher Model for Cross-lingual Named Entity Recognition. ACL (1) 2022: 170-179 - [c82]Kai Sun, Richong Zhang, Samuel Mensah, Yongyi Mao, Xudong Liu:
A Transformational Biencoder with In-Domain Negative Sampling for Zero-Shot Entity Linking. ACL (Findings) 2022: 1449-1458 - [c81]Jiaran Li
, Richong Zhang
, Yuan Tian
:
Regularizing Deep Text Models by Encouraging Competition. CCKS 2022: 161-173 - [c80]Guanghui Ma
, Chunming Hu, Ling Ge
, Junfan Chen, Hong Zhang, Richong Zhang:
Towards Robust False Information Detection on Social Networks with Contrastive Learning. CIKM 2022: 1441-1450 - [c79]Ling Ge
, Chunming Hu, Guanghui Ma
, Junshuang Wu, Junfan Chen, Jihong Liu, Hong Zhang, Wenyi Qin, Richong Zhang:
E-VarM: Enhanced Variational Word Masks to Improve the Interpretability of Text Classification Models. COLING 2022: 1036-1050 - [c78]Fanshuang Kong, Richong Zhang, Xiaohui Guo, Samuel Mensah, Yongyi Mao:
DropMix: A Textual Data Augmentation Combining Dropout with Mixup. EMNLP 2022: 890-899 - [c77]Nan Ding, Chunming Hu, Kai Sun, Samuel Mensah, Richong Zhang:
Explicit Role Interaction Network for Event Argument Extraction. EMNLP (Findings) 2022: 3475-3485 - [c76]Jirui Qi, Richong Zhang, Junfan Chen, Jaein Kim, Yongyi Mao:
Parameter-free Automatically Prompting: A Latent Pseudo Label Mapping Model for Prompt-based Learning. EMNLP (Findings) 2022: 3952-3962 - [c75]Jiarui Wang, Richong Zhang, Junfan Chen, Jaein Kim, Yongyi Mao:
Text Style Transferring via Adversarial Masking and Styled Filling. EMNLP 2022: 7654-7663 - [c74]Keqin Chen, Richong Zhang, Samuel Mensah, Yongyi Mao:
Contrastive Learning with Expectation-Maximization for Weakly Supervised Phrase Grounding. EMNLP 2022: 8549-8559 - [c73]Chune Li, Yongyi Mao, Richong Zhang:
On Domain Generalization for Batched Prediction: the Benefit of Contextual Adversarial Training. ICTAI 2022: 577-584 - [c72]Xiyang Liu
, Tong Zhu
, Huobin Tan
, Richong Zhang
:
Heterogeneous Graph Neural Network with Hypernetworks for Knowledge Graph Embedding. ISWC 2022: 284-302 - [i19]Qianben Chen, Richong Zhang, Yaowei Zheng, Yongyi Mao:
Dual Contrastive Learning: Text Classification via Label-Aware Data Augmentation. CoRR abs/2201.08702 (2022) - [i18]Jirui Qi, Richong Zhang, Chune Li, Yongyi Mao:
Cross Domain Few-Shot Learning via Meta Adversarial Training. CoRR abs/2202.05713 (2022) - 2021
- [c71]Kai Sun, Richong Zhang, Samuel Mensah, Yongyi Mao, Xudong Liu:
Progressive Multi-task Learning with Controlled Information Flow for Joint Entity and Relation Extraction. AAAI 2021: 13851-13859 - [c70]Junshuang Wu, Richong Zhang, Yongyi Mao, Junfan Chen:
On Scalar Embedding of Relative Positions in Attention Models. AAAI 2021: 14050-14057 - [c69]Yuhang Bai, Richong Zhang, Fanshuang Kong, Junfan Chen
, Yongyi Mao:
Hypernym Discovery via a Recurrent Mapping Model. ACL/IJCNLP (Findings) 2021: 2912-2921 - [c68]Yanfei Lei, Chunming Hu, Guanghui Ma
, Richong Zhang:
Keyphrase Extraction with Incomplete Annotated Training Data. W-NUT 2021: 26-34 - [c67]Yaowei Zheng, Richong Zhang, Yongyi Mao:
Regularizing Neural Networks via Adversarial Model Perturbation. CVPR 2021: 8156-8165 - [c66]Xiaohui Guo, Richong Zhang, Yaowei Zheng, Yongyi Mao:
Robust Regularization with Adversarial Labelling of Perturbed Samples. IJCAI 2021: 2490-2496 - [c65]Junshuang Wu, Richong Zhang, Yongyi Mao, Masoumeh Soflaei Shahrbabak, Jinpeng Huai:
Hierarchical Modeling of Label Dependency and Label Noise in Fine-grained Entity Typing. IJCAI 2021: 3950-3956 - [c64]Yanzhao Zhang, Richong Zhang, Jaein Kim, Xudong Liu, Yongyi Mao:
Unsupervised Semantic Association Learning with Latent Label Inference. WWW 2021: 4010-4019 - [i17]Xiaohui Guo, Richong Zhang, Yaowei Zheng
, Yongyi Mao:
Robust Regularization with Adversarial Labelling of Perturbed Samples. CoRR abs/2105.13745 (2021) - 2020
- [j23]Samuel Mensah
, Chunming Hu
, Xue Li, Xudong Liu, Richong Zhang
:
A Probabilistic Model for User Interest Propagation in Recommender Systems. IEEE Access 8: 108300-108309 (2020) - [j22]Chune Li, Yongyi Mao, Richong Zhang, Jinpeng Huai:
A revisit to MacKay algorithm and its application to deep network compression. Frontiers Comput. Sci. 14(4): 144304 (2020) - [j21]Richong Zhang, Yongyi Mao, Weihua Zhao:
Knowledge graphs completion via probabilistic reasoning. Inf. Sci. 521: 144-159 (2020) - [j20]Richong Zhang
, Samuel Mensah
, Fanshuang Kong, Zhiyuan Hu
, Yongyi Mao, Xudong Liu:
Pairwise Link Prediction Model for Out of Vocabulary Knowledge Base Entities. ACM Trans. Inf. Syst. 38(4): 36:1-36:28 (2020) - [c63]Masoumeh Soflaei, Hongyu Guo, Ali Al-Bashabsheh, Yongyi Mao, Richong Zhang:
Aggregated Learning: A Vector-Quantization Approach to Learning Neural Network Classifiers. AAAI 2020: 5810-5817 - [c62]Kai Sun
, Richong Zhang, Yongyi Mao, Samuel Mensah, Xudong Liu:
Relation Extraction with Convolutional Network over Learnable Syntax-Transport Graph. AAAI 2020: 8928-8935 - [c61]Yaowei Zheng
, Richong Zhang, Samuel Mensah, Yongyi Mao:
Replicate, Walk, and Stop on Syntax: An Effective Neural Network Model for Aspect-Level Sentiment Classification. AAAI 2020: 9685-9692 - [c60]Runzhi Tian, Yongyi Mao, Richong Zhang:
Learning VAE-LDA Models with Rounded Reparameterization Trick. EMNLP (1) 2020: 1315-1325 - [c59]Junfan Chen
, Richong Zhang, Yongyi Mao, Jie Xu:
Neural Dialogue State Tracking with Temporally Expressive Networks. EMNLP (Findings) 2020: 1570-1579 - [c58]Junfan Chen
, Richong Zhang, Yongyi Mao, Jie Xu:
Parallel Interactive Networks for Multi-Domain Dialogue State Generation. EMNLP (1) 2020: 1921-1931 - [c57]Kai Sun
, Richong Zhang, Samuel Mensah
, Yongyi Mao, Xudong Liu:
Recurrent Interaction Network for Jointly Extracting Entities and Classifying Relations. EMNLP (1) 2020: 3722-3732 - [c56]Junshuang Wu, Richong Zhang, Yongyi Mao, Hongyu Guo, Masoumeh Soflaei, Jinpeng Huai:
Dynamic Graph Convolutional Networks for Entity Linking. WWW 2020: 1149-1159 - [c55]Yaowei Zheng
, Richong Zhang, Suyuchen Wang, Samuel Mensah
, Yongyi Mao:
Anchored Model Transfer and Soft Instance Transfer for Cross-Task Cross-Domain Learning: A Study Through Aspect-Level Sentiment Classification. WWW 2020: 2754-2760 - [i16]Masoumeh Soflaei, Hongyu Guo, Ali Al-Bashabsheh, Yongyi Mao, Richong Zhang:
Aggregated Learning: A Vector-Quantization Approach to Learning Neural Network Classifiers. CoRR abs/2001.03955 (2020) - [i15]Kai Sun, Richong Zhang, Samuel Mensah, Yongyi Mao, Xudong Liu:
Recurrent Interaction Network for Jointly Extracting Entities and Classifying Relations. CoRR abs/2005.00162 (2020) - [i14]Ziqiao Wang, Yongyi Mao, Hongyu Guo, Richong Zhang:
On SkipGram Word Embedding Models with Negative Sampling: Unified Framework and Impact of Noise Distributions. CoRR abs/2009.04413 (2020) - [i13]Junfan Chen, Richong Zhang, Yongyi Mao, Jie Xu:
Neural Dialogue State Tracking with Temporally Expressive Networks. CoRR abs/2009.07615 (2020) - [i12]Junfan Chen, Richong Zhang, Yongyi Mao, Jie Xu:
Parallel Interactive Networks for Multi-Domain Dialogue State Generation. CoRR abs/2009.07616 (2020) - [i11]Yaowei Zheng
, Richong Zhang, Yongyi Mao:
Regularizing Neural Networks via Adversarial Model Perturbation. CoRR abs/2010.04925 (2020)
2010 – 2019
- 2019
- [j19]Dingkun Long, Richong Zhang
, Yongyi Mao
:
Recurrent Neural Networks With Finite Memory Length. IEEE Access 7: 12511-12520 (2019) - [j18]Richong Zhang
, Yongyi Mao
:
Movie Recommendation via Markovian Factorization of Matrix Processes. IEEE Access 7: 13189-13199 (2019) - [j17]Weiren Yu
, Jianxin Li, Md. Zakirul Alam Bhuiyan, Richong Zhang
, Jinpeng Huai:
Ring: Real-Time Emerging Anomaly Monitoring System Over Text Streams. IEEE Trans. Big Data 5(4): 506-519 (2019) - [j16]Richong Zhang, Yue Wang, Yongyi Mao, Jinpeng Huai:
Question Answering in Knowledge Bases: A Verification Assisted Model with Iterative Training. ACM Trans. Inf. Syst. 37(4): 40:1-40:26 (2019) - [c54]Fanshuang Kong, Richong Zhang, Yongyi Mao, Ting Deng:
LENA: Locality-Expanded Neural Embedding for Knowledge Base Completion. AAAI 2019: 2895-2902 - [c53]Hongyu Guo, Yongyi Mao, Richong Zhang:
MixUp as Locally Linear Out-of-Manifold Regularization. AAAI 2019: 3714-3722 - [c52]Richong Zhang, Xinyu Liu, Xinwei Chen, Zhiyuan Hu
, Zhaoqing Xu, Yongyi Mao:
Generating Chinese Ci with Designated Metrical Structure. AAAI 2019: 7459-7467 - [c51]Junfan Chen, Richong Zhang, Yongyi Mao, Binfeng Wang, Jianhang Qiao:
A Conditional VAE-Based Conversation Model. CCKS 2019: 165-174 - [c50]Junshuang Wu, Richong Zhang, Ting Deng, Jinpeng Huai:
Named Entity Recognition for Open Domain Data Based on Distant Supervision. CCKS 2019: 185-197 - [c49]Junfan Chen
, Richong Zhang, Yongyi Mao, Hongyu Guo, Jie Xu:
Uncover the Ground-Truth Relations in Distant Supervision: A Neural Expectation-Maximization Framework. EMNLP/IJCNLP (1) 2019: 326-336 - [c48]Kai Sun
, Richong Zhang, Samuel Mensah, Yongyi Mao, Xudong Liu:
Aspect-Level Sentiment Analysis Via Convolution over Dependency Tree. EMNLP/IJCNLP (1) 2019: 5678-5687 - [c47]Junshuang Wu, Richong Zhang, Yongyi Mao, Hongyu Guo, Jinpeng Huai:
Modeling Noisy Hierarchical Types in Fine-Grained Entity Typing: A Content-Based Weighting Approach. IJCAI 2019: 5264-5270 - [c46]Han Bao
, Richong Zhang
, Yongyi Mao
, Jinpeng Huai:
Writing to the Hopfield Memory via Training a Recurrent Network. PRICAI (2) 2019: 241-254 - [c45]Fanshuang Kong, Richong Zhang, Hongyu Guo, Samuel Mensah
, Zhiyuan Hu
, Yongyi Mao
:
A Neural Bag-of-Words Modelling Framework for Link Prediction in Knowledge Bases with Sparse Connectivity. WWW 2019: 2929-2935 - [i10]Bokang Zhu, Richong Zhang, Dingkun Long, Yongyi Mao:
Understanding Feature Selection and Feature Memorization in Recurrent Neural Networks. CoRR abs/1903.00906 (2019) - [i9]Hongyu Guo, Yongyi Mao, Richong Zhang:
Augmenting Data with Mixup for Sentence Classification: An Empirical Study. CoRR abs/1905.08941 (2019) - [i8]Guillaume P. Archambault, Yongyi Mao, Hongyu Guo, Richong Zhang:
MixUp as Directional Adversarial Training. CoRR abs/1906.06875 (2019) - [i7]Junfan Chen, Richong Zhang, Yongyi Mao, Hongyu Guo, Jie Xu:
Uncover the Ground-Truth Relations in Distant Supervision: A Neural Expectation-Maximization Framework. CoRR abs/1909.05448 (2019) - 2018
- [j15]Xiaohui Guo, Richong Zhang, Xudong Liu, Jinpeng Huai:
Human mobility semantics analysis: a probabilistic and scalable approach. GeoInformatica 22(3): 507-539 (2018) - [j14]Dingkun Long, Richong Zhang, Yongyi Mao
:
Prototypical recurrent unit. Neurocomputing 311: 146-154 (2018) - [j13]Yili Fang
, Hailong Sun
, Guoliang Li, Richong Zhang, Jin-Peng Huai:
Context-aware result inference in crowdsourcing. Inf. Sci. 460-461: 346-363 (2018) - [j12]Yangyang Zhang
, Jianxin Li, Chenggen Sun, Md. Zakirul Alam Bhuiyan
, Weiren Yu, Richong Zhang:
HotML: A DSM-based machine learning system for social networks. J. Comput. Sci. 26: 478-487 (2018) - [j11]Richong Zhang, Yongyi Mao
:
On the integration of crowd knowledge in pattern recognition. Pattern Recognit. Lett. 106: 1-6 (2018) - [c44]Richong Zhang, Fanshuang Kong, Chenyue Wang, Yongyi Mao:
Embedding of Hierarchically Typed Knowledge Bases. AAAI 2018: 2046-2053 - [c43]Xufeng Li, Jianlei Yang, Richong Zhang, Hongyuan Ma:
A Novel Approach on Entity Linking for Encyclopedia Infoboxes. CCKS 2018: 103-115 - [c42]Yue Wang, Richong Zhang, Cheng Xu, Yongyi Mao:
The APVA-TURBO Approach To Question Answering in Knowledge Base. COLING 2018: 1998-2009 - [c41]Richong Zhang, Zhiyuan Hu
, Hongyu Guo, Yongyi Mao:
Syntax Encoding with Application in Authorship Attribution. EMNLP 2018: 2742-2753 - [c40]Jiajie Mei, Richong Zhang, Yongyi Mao
, Ting Deng:
On Link Prediction in Knowledge Bases: Max-K Criterion and Prediction Protocols. SIGIR 2018: 755-764 - [c39]Richong Zhang, Junpeng Li, Jiajie Mei, Yongyi Mao:
Scalable Instance Reconstruction in Knowledge Bases via Relatedness Affiliated Embedding. WWW 2018: 1185-1194 - [i6]Hongyu Guo, Yongyi Mao, Richong Zhang:
Aggregated Learning: A Vector Quantization Approach to Learning with Neural Networks. CoRR abs/1807.10251 (2018) - [i5]Hongyu Guo, Yongyi Mao, Richong Zhang:
MixUp as Locally Linear Out-Of-Manifold Regularization. CoRR abs/1809.02499 (2018) - [i4]Peiyuan Sun, Jianxin Li, Yongyi Mao, Richong Zhang, Lihong Wang:
Inferring Multiplex Diffusion Network via Multivariate Marked Hawkes Process. CoRR abs/1809.07688 (2018) - 2017
- [j10]Xiaohui Guo, Chunming Hu, Richong Zhang, Jinpeng Huai:
A probabilistic framework of preference discovery from folksonomy corpus. Frontiers Comput. Sci. 11(6): 1075-1084 (2017) - [c38]Xue Li, Richong Zhang, Jianxin Li:
User Interest Propagation and Its Application in Recommender System. ICTAI 2017: 218-222 - [c37]Chenggen Sun, Yangyang Zhang
, Weiren Yu, Richong Zhang, Md. Zakirul Alam Bhuiyan
, Jianxin Li:
DPS: A DSM-based Parameter Server for Machine Learning. ISPAN-FCST-ISCC 2017: 20-27 - [c36]Haoyue Wang, Yangyang Zhang
, Jianxin Li, Richong Zhang, Md. Zakirul Alam Bhuiyan
:
RPS-TSM: A Robot Perception System Based on Temporal Semantic Map. SpaCCS Workshops 2017: 524-533 - 2016
- [j9]Jianxin Li, Jianfeng Wen, Zhenying Tai, Richong Zhang, Weiren Yu:
Bursty event detection from microblog: a distributed and incremental approach. Concurr. Comput. Pract. Exp. 28(11): 3115-3130 (2016) - [j8]Richong Zhang, Han Bao
, Hailong Sun, Yanghao Wang, Xudong Liu:
Recommender systems based on ranking performance optimization. Frontiers Comput. Sci. 10(2): 270-280 (2016) - [j7]Wuyang Ju, Jianxin Li, Weiren Yu, Richong Zhang:
iGraph: an incremental data processing system for dynamic graph. Frontiers Comput. Sci. 10(3): 462-476 (2016) - [c35]Fitriyah Hasny, Samuel Mensah
, Deliang Yi, Chune Li, Richong Zhang:
Predicting the Quality of Web Services Based on User Stability. SCC 2016: 860-863 - [c34]Shini Chen, Jianfeng Wen, Richong Zhang:
GRU-RNN Based Question Answering Over Knowledge Base. CCKS 2016: 80-91 - [c33]Yili Fang, Hailong Sun, Guoliang Li, Richong Zhang, Jinpeng Huai:
Effective Result Inference for Context-Sensitive Tasks in Crowdsourcing. DASFAA (1) 2016: 33-48 - [c32]Richong Zhang, Xudong Liu, Deliang Yi:
Discovering Web Services with Reliable Quality: System Architecture and Algorithms. ICWS 2016: 654-657 - [c31]Jianfeng Wen, Jianxin Li, Yongyi Mao, Shini Chen, Richong Zhang:
On the Representation and Embedding of Knowledge Bases beyond Binary Relations. IJCAI 2016: 1300-1307 - [c30]Chune Li, Yongyi Mao, Richong Zhang, Jinpeng Huai:
On Hyper-Parameter Estimation In Empirical Bayes: A Revisit of The MacKay Algorithm. UAI 2016 - [i3]Jianfeng Wen, Jianxin Li, Yongyi Mao, Shini Chen, Richong Zhang:
On the representation and embedding of knowledge bases beyond binary relations. CoRR abs/1604.08642 (2016) - [i2]Dingkun Long, Richong Zhang, Yongyi Mao:
Prototypical Recurrent Unit. CoRR abs/1611.06530 (2016) - 2015
- [c29]Zhongyu Lu, Weiren Yu, Richong Zhang, Jianxin Li, Hua Wei:
Discovering Event Evolution Chain in Microblog. HPCC/CSS/ICESS 2015: 635-640 - [c28]Haifei Huang, Jianxin Li, Richong Zhang, Weiren Yu, Wuyang Ju:
LiveIndex: A Distributed Online Index System for Temporal Microblog Data. HPCC/CSS/ICESS 2015: 884-887 - 2014
- [j6]Peilong Xu, Zhe Zhang, Hailong Sun, Richong Zhang, Xudong Liu:
A Cooperation Framework Towards the Internet of Applications. Int. J. Softw. Informatics 8(1): 43-66 (2014) - [j5]Richong Zhang, Yongyi Mao
:
Trust Prediction via Belief Propagation. ACM Trans. Inf. Syst. 32(3): 15:1-15:27 (2014) - [c27]Richong Zhang, Chune Li, Hailong Sun, Yanghao Wang, Jinpeng Huai:
Quality of Web Service Prediction by Collective Matrix Factorization. IEEE SCC 2014: 432-439 - [c26]Yili Fang, Hailong Sun, Richong Zhang, Jinpeng Huai, Yongyi Mao:
A Model for Aggregating Contributions of Synergistic Crowdsourcing Workflows. AAAI 2014: 3102-3103 - [c25]Chune Li, Richong Zhang, Jinpeng Huai, Hailong Sun:
A Novel Approach for API Recommendation in Mashup Development. ICWS 2014: 289-296 - [c24]Xinyi Liu, Hailong Sun, Hanxiong Wu, Richong Zhang, Xudong Liu:
Using Sequential Pattern Mining and Interactive Recommendation to Assist Pipe-like Mashup Development. SOSE 2014: 173-180 - [c23]Jianxin Li, Zhenying Tai, Richong Zhang, Weiren Yu, Lu Liu
:
Online Bursty Event Detection from Microblog. UCC 2014: 865-870 - [c22]Lu Lin, Jianxin Li, Richong Zhang, Weiren Yu, Chenggen Sun:
Opinion Mining and Sentiment Analysis in Social Networks: A Retweeting Structure-Aware Approach. UCC 2014: 890-895 - [c21]Yanghao Wang, Hailong Sun, Richong Zhang:
AdaMF: Adaptive Boosting Matrix Factorization for Recommender System. WAIM 2014: 43-54 - [c20]Ji Yuan, Xudong Liu, Richong Zhang, Hailong Sun, Xiaohui Guo, Yanghao Wang:
Discovering Semantic Mobility Pattern from Check-in Data. WISE (1) 2014: 464-479 - 2013
- [c19]Chune Li, Richong Zhang, Jinpeng Huai, Xiaohui Guo, Hailong Sun:
A Probabilistic Approach for Web Service Discovery. IEEE SCC 2013: 49-56 - [c18]Xiaolong Cui, Xuelian Lin, Chunming Hu, Richong Zhang, Chengzhang Wang:
Modeling the Performance of MapReduce under Resource Contentions and Task Failures. CloudCom (1) 2013: 158-163 - [c17]Fei Wang, Zhe Zhang, Hailong Sun, Richong Zhang, Xudong Liu:
A Cooperation Based Metric for Mobile Applications Recommendation. Web Intelligence/IAT Workshops 2013: 13-16 - [c16]Zhe Zhang, Hailong Sun, Richong Zhang, Xudong Liu, Peilong Xu:
A cooperation model towards the internet of applications. Internetware 2013: 2:1-2:10 - [c15]Xiaohui Guo, Richong Zhang, Jinpeng Huai, Hailong Sun, Xudong Liu:
Discovering User Preference from Folksonomy. SMC 2013: 2114-2119 - [c14]Kai Wang, Richong Zhang, Xudong Liu, Xiaohui Guo, Hailong Sun, Jinpeng Huai:
Time-Aware Travel Attraction Recommendation. WISE (1) 2013: 175-188 - [i1]Zhe Zhang, Xudong Liu, Hailong Sun, Richong Zhang, Fei Wang:
A Cooperation Model Towards the Federated Internet of Applications. CoRR abs/1303.6022 (2013) - 2012
- [j4]Richong Zhang, Thomas T. Tran, Yongyi Mao
:
Real-time helpfulness prediction based on voter opinions. Concurr. Comput. Pract. Exp. 24(17): 2167-2178 (2012) - [j3]Richong Zhang, Thomas T. Tran, Yongyi Mao
:
Opinion helpfulness prediction in the presence of "words of few mouths". World Wide Web 15(2): 117-138 (2012) - [c13]Meng Zhang, Xudong Liu, Richong Zhang, Hailong Sun:
A Web Service Recommendation Approach Based on QoS Prediction Using Fuzzy Clustering. IEEE SCC 2012: 138-145 - [c12]Shilong Zhang, Richong Zhang, Xudong Liu, Hailong Sun:
A Personalized Trust-Aware Model for Travelogue Discovering. Web Intelligence/IAT Workshops 2012: 112-116 - [c11]Richong Zhang, Xiaohui Guo, Hailong Sun, Jinpeng Huai, Xudong Liu:
gTravel: a global social travel system. ACM Multimedia 2012: 1291-1292 - [c10]Jingbo Xu, Hailong Sun, Xu Wang, Xudong Liu, Richong Zhang:
Optimizing pipe-like mashup execution for improving resource utilization. SOCA 2012: 1-4 - [c9]Lei Yang, Richong Zhang, Hailong Sun, Xiaohui Guo, Jinpeng Huai:
A Tourist Itinerary Planning Approach Based on Ant Colony Algorithm. WAIM 2012: 399-404 - [c8]Zhixing Zeng, Richong Zhang, Xudong Liu, Xiaohui Guo, Hailong Sun:
Generating Tourism Path from Trajectories and Geo-Photos. WISE 2012: 199-212 - 2011
- [j2]Richong Zhang, Thomas T. Tran:
An information gain-based approach for recommending useful product reviews. Knowl. Inf. Syst. 26(3): 419-434 (2011) - [j1]Richong Zhang, Thomas T. Tran:
A helpfulness modeling framework for electronic word-of-mouth on consumer opinion platforms. ACM Trans. Intell. Syst. Technol. 2(3): 23:1-23:18 (2011) - [c7]Richong Zhang, Thomas T. Tran, Yongyi Mao
:
Recommender Systems from "Words of Few Mouths". IJCAI 2011: 2379-2384 - 2010
- [c6]Richong Zhang, Thomas T. Tran:
A Novel Approach for Recommending Ranked User-Generated Reviews. Canadian AI 2010: 324-327 - [c5]Richong Zhang, Thomas T. Tran:
Probabilistic Modeling of User-Generated Reviews. Web Intelligence 2010: 171-175 - [c4]Richong Zhang, Thomas T. Tran:
Review recommendation with graphical model and EM algorithm. WWW 2010: 1219-1220
2000 – 2009
- 2009
- [c3]Richong Zhang, Thomas T. Tran:
Helping E-Commerce Consumers Make Good Purchase Decisions: A User Reviews-Based Approach. MCETECH 2009: 1-11 - 2008
- [c2]Richong Zhang, Thomas T. Tran:
An Entropy-Based Model for Discovering the Usefulness of Online Product Reviews. Web Intelligence 2008: 759-762 - 2007
- [c1]Richong Zhang, Michael A. Shepherd, Jack Duffy, Carolyn R. Watters:
Automatic Web Page Categorization using Principal Component Analysis. HICSS 2007: 73
Coauthor Index
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