| 2026 | AAAI | Rethinking Label Consistency of In-Context Learning: An Implicit Transductive Label Propagation Perspective. | Haoyang Chen, Richong Zhang, Junfan Chen |
| 2026 | ACL | Adversarial Metric Learning for Fine-Grained Emotion Classification. | Junfan Chen, Sizhe Wu, Richong Zhang, Chunming Hu |
| 2026 | ACL | Learning to Select: Query-Aware Adaptive Dimension Selection for Dense Retrieval. | Zhanyu Wu, Richong Zhang, Zhijie Nie |
| 2026 | ICPR | Multimodal Abstractive Summarization of Instructional Videos with Vision-Language Models. | Maham Nazir, Muhammad Aqeel, Richong Zhang, Francesco Setti |
| 2026 | KSEM | Adaptive Utterance-Level Teacher Selection for Multi-teacher Knowledge Distillation in Low-resource Pashto ASR. | Asmat Ullah, Yar Muhammad, Richong Zhang |
| 2026 | WWW | Expectation-Maximization Driven Contrastive Disentanglement for Generalized Category Discovery. | Weiyi Yang, Richong Zhang, Junfan Chen, Jiawei Sheng, Lihong Wang |
| 2026 | SIGIR | Constructing Hard-Positive Query-Document Pairs for Dense Retrieval via Phrase Representativeness. | Zhanyu Wu, Richong Zhang, Zhijie Nie |
| 2025 | AAAI | Semi-Supervised Multimodal Classification Through Learning from Modal and Strategic Complementarities. | Junchi Chen, Richong Zhang, Junfan Chen |
| 2025 | AAAI | Momentum Pseudo-Labeling for Weakly Supervised Phrase Grounding. | Dongdong Kuang, Richong Zhang, Zhijie Nie, Junfan Chen, Jaein Kim |
| 2025 | AAAI | Implicit Word Reordering with Knowledge Distillation for Cross-Lingual Dependency Parsing. | Zhuoran Li, Chunming Hu, Junfan Chen, Zhijun Chen, Richong Zhang |
| 2025 | ACL | A Text is Worth Several Tokens: Text Embedding from LLMs Secretly Aligns Well with The Key Tokens. | Zhijie Nie, Richong Zhang, Zhanyu Wu |
| 2025 | ACL | Dynamic Task Vector Grouping for Efficient Multi-Task Prompt Tuning. | Peiyi Zhang, Richong Zhang, Zhijie Nie, Ziqiao Wang |
| 2025 | APWEB | Retrieval-Based Knowledge Consistency Validation for Fake News Detection. | Ruize An, Jingyuan Wang, Richong Zhang, Jing Zhang, Ruipeng Luan |
| 2025 | EMNLP | Easy Dataset: A Unified and Extensible Framework for Synthesizing LLM Fine-Tuning Data from Unstructured Documents. | Ziyang Miao, Qiyu Sun, Jingyuan Wang, Yuchen Gong, Yaowei Zheng, Shiqi Li, Richong Zhang |
| 2025 | EMNLP | Calibrating Pseudo-Labeling with Class Distribution for Semi-supervised Text Classification. | Weiyi Yang, Richong Zhang, Junfan Chen, Jiawei Sheng |
| 2025 | ICLR | GeoILP: A Synthetic Dataset to Guide Large-Scale Rule Induction. | Si Chen, Richong Zhang, Xu Zhang |
| 2025 | KDD | Improving Subgraph Matching by Combining Algorithms and Graph Neural Networks. | Shuyang Guo, Wenjin Xie, Ping Lu, Ting Deng, Richong Zhang, Jianxin Li, Xiangping Huang, Zhongyi Liu |
| 2025 | KDD | LH-Mix: Local Hierarchy Correlation Guided Mixup over Hierarchical Prompt Tuning. | Fanshuang Kong, Richong Zhang, Ziqiao Wang |
| 2025 | KDD | ToolSQL: A Tool-Assisted Agent for SQL Verification and Refinement. | Zhongyuan Wang, Richong Zhang, Zhijie Nie, Jaein Kim |
| 2025 | NAACL | Improving Data Annotation for Low-Resource Relation Extraction with Logical Rule-Augmented Collaborative Language Models. | Xiyang Liu, Chunming Hu, Richong Zhang, Junfan Chen, Baowen Xu |
| 2025 | WWW | Preserving Label Correlation for Multi-label Text Classification by Prototypical Regularizations. | Fanshuang Kong, Richong Zhang, Xiaohui Guo, Junfan Chen, Ziqiao Wang |
| 2024 | AAAI | On Unsupervised Domain Adaptation: Pseudo Label Guided Mixup for Adversarial Prompt Tuning. | Fanshuang Kong, Richong Zhang, Ziqiao Wang, Yongyi Mao |
| 2024 | AAAI | Narrowing the Gap between Supervised and Unsupervised Sentence Representation Learning with Large Language Model. | Mingxin Li, Richong Zhang, Zhijie Nie, Yongyi Mao |
| 2024 | AAAI | Code-Style In-Context Learning for Knowledge-Based Question Answering. | Zhijie Nie, Richong Zhang, Zhongyuan Wang, Xudong Liu |
| 2024 | ACL | Open-Set Semi-Supervised Text Classification via Adversarial Disagreement Maximization. | Junfan Chen, Richong Zhang, Junchi Chen, Chunming Hu |
| 2024 | ACL | Progressively Modality Freezing for Multi-Modal Entity Alignment. | Yani Huang, Xuefeng Zhang, Richong Zhang, Junfan Chen, Jaein Kim |
| 2024 | ACL | Towards Better Understanding of Contrastive Sentence Representation Learning: A Unified Paradigm for Gradient. | Mingxin Li, Richong Zhang, Zhijie Nie |
| 2024 | ACL | LlamaFactory: Unified Efficient Fine-Tuning of 100+ Language Models. | Yaowei Zheng, Richong Zhang, Junhao Zhang, Yanhan Ye, Zheyan Luo |
| 2024 | CIKM | Attentional Neural Integral Equation for Temporal Knowledge Graph Forecasting. | Likang Xiao, Zijie Chen, Richong Zhang, Junfan Chen |
| 2024 | IJCAI | Improving Zero-Shot Cross-Lingual Transfer via Progressive Code-Switching. | Zhuoran Li, Chunming Hu, Junfan Chen, Zhijun Chen, Xiaohui Guo, Richong Zhang |
| 2024 | KDD | Improving the Consistency in Cross-Lingual Cross-Modal Retrieval with 1-to-K Contrastive Learning. | Zhijie Nie, Richong Zhang, Zhangchi Feng, Hailang Huang, Xudong Liu |
| 2024 | WWW | Self-Paced Pairwise Representation Learning for Semi-Supervised Text Classification. | Junfan Chen, Richong Zhang, Jiarui Wang, Chunming Hu, Yongyi Mao |
| 2024 | WWW | DualCL: Principled Supervised Contrastive Learning as Mutual Information Maximization for Text Classification. | Junfan Chen, Richong Zhang, Yaowei Zheng, Qianben Chen, Chunming Hu, Yongyi Mao |
| 2024 | WWW | Multimodal Relation Extraction via a Mixture of Hierarchical Visual Context Learners. | Xiyang Liu, Chunming Hu, Richong Zhang, Kai Sun, Samuel Mensah, Yongyi Mao |
| 2024 | WWW | Author Name Disambiguation via Paper Association Refinement and Compositional Contrastive Embedding. | Dezhi Liu, Richong Zhang, Junfan Chen, Xinyue Chen |
| 2023 | AAAI | Adversarial Word Dilution as Text Data Augmentation in Low-Resource Regime. | Junfan Chen, Richong Zhang, Zheyan Luo, Chunming Hu, Yongyi Mao |
| 2023 | AAAI | Multi-Mask Label Mapping for Prompt-Based Learning. | Jirui Qi, Richong Zhang, Jaein Kim, Junfan Chen, Wenyi Qin, Yongyi Mao |
| 2023 | ACL | Tucker Decomposition with Frequency Attention for Temporal Knowledge Graph Completion. | Likang Xiao, Richong Zhang, Zijie Chen, Junfan Chen |
| 2023 | ACL | Prototype-Guided Pseudo Labeling for Semi-Supervised Text Classification. | Weiyi Yang, Richong Zhang, Junfan Chen, Lihong Wang, Jaein Kim |
| 2023 | EMNLP | Anaphor Assisted Document-Level Relation Extraction. | Chonggang Lu, Richong Zhang, Kai Sun, Jaein Kim, Cunwang Zhang, Yongyi Mao |
| 2023 | ICLR | On The Inadequacy of Optimizing Alignment and Uniformity in Contrastive Learning of Sentence Representations. | Zhijie Nie, Richong Zhang, Yongyi Mao |
| 2023 | KDD | Open-Set Semi-Supervised Text Classification with Latent Outlier Softening. | Junfan Chen, Richong Zhang, Junchi Chen, Chunming Hu, Yongyi Mao |
| 2023 | WWW | Self-training through Classifier Disagreement for Cross-Domain Opinion Target Extraction. | Kai Sun, Richong Zhang, Samuel Mensah, Nikolaos Aletras, Yongyi Mao, Xudong Liu |
| 2023 | WWW | Word Sense Disambiguation by Refining Target Word Embedding. | Xuefeng Zhang, Richong Zhang, Xiaoyang Li, Fanshuang Kong, Junfan Chen, Samuel Mensah, Yongyi Mao |
| 2022 | AAAI | ContrastNet: A Contrastive Learning Framework for Few-Shot Text Classification. | Junfan Chen, Richong Zhang, Yongyi Mao, Jie Xu |
| 2022 | AAAI | Unsupervised Sentence Representation via Contrastive Learning with Mixing Negatives. | Yanzhao Zhang, Richong Zhang, Samuel Mensah, Xudong Liu, Yongyi Mao |
| 2022 | ACL | An Unsupervised Multiple-Task and Multiple-Teacher Model for Cross-lingual Named Entity Recognition. | Zhuoran Li, Chunming Hu, Xiaohui Guo, Junfan Chen, Wenyi Qin, Richong Zhang |
| 2022 | ACL | A Transformational Biencoder with In-Domain Negative Sampling for Zero-Shot Entity Linking. | Kai Sun, Richong Zhang, Samuel Mensah, Yongyi Mao, Xudong Liu |
| 2022 | CIKM | Towards Robust False Information Detection on Social Networks with Contrastive Learning. | Guanghui Ma, Chunming Hu, Ling Ge, Junfan Chen, Hong Zhang, Richong Zhang |
| 2022 | COLING | E-VarM: Enhanced Variational Word Masks to Improve the Interpretability of Text Classification Models. | Ling Ge, Chunming Hu, Guanghui Ma, Junshuang Wu, Junfan Chen, Jihong Liu, Hong Zhang, Wenyi Qin, Richong Zhang |
| 2022 | EMNLP | Contrastive Learning with Expectation-Maximization for Weakly Supervised Phrase Grounding. | Keqin Chen, Richong Zhang, Samuel Mensah, Yongyi Mao |
| 2022 | EMNLP | Explicit Role Interaction Network for Event Argument Extraction. | Nan Ding, Chunming Hu, Kai Sun, Samuel Mensah, Richong Zhang |
| 2022 | EMNLP | DropMix: A Textual Data Augmentation Combining Dropout with Mixup. | Fanshuang Kong, Richong Zhang, Xiaohui Guo, Samuel Mensah, Yongyi Mao |
| 2022 | EMNLP | Parameter-free Automatically Prompting: A Latent Pseudo Label Mapping Model for Prompt-based Learning. | Jirui Qi, Richong Zhang, Junfan Chen, Jaein Kim, Yongyi Mao |
| 2022 | EMNLP | Text Style Transferring via Adversarial Masking and Styled Filling. | Jiarui Wang, Richong Zhang, Junfan Chen, Jaein Kim, Yongyi Mao |
| 2022 | ICTAI | On Domain Generalization for Batched Prediction: the Benefit of Contextual Adversarial Training. | Chune Li, Yongyi Mao, Richong Zhang |
| 2021 | AAAI | Progressive Multi-task Learning with Controlled Information Flow for Joint Entity and Relation Extraction. | Kai Sun, Richong Zhang, Samuel Mensah, Yongyi Mao, Xudong Liu |
| 2021 | AAAI | On Scalar Embedding of Relative Positions in Attention Models. | Junshuang Wu, Richong Zhang, Yongyi Mao, Junfan Chen |
| 2021 | ACL | Hypernym Discovery via a Recurrent Mapping Model. | Yuhang Bai, Richong Zhang, Fanshuang Kong, Junfan Chen, Yongyi Mao |
| 2021 | CVPR | Regularizing Neural Networks via Adversarial Model Perturbation. | Yaowei Zheng, Richong Zhang, Yongyi Mao |
| 2021 | IJCAI | Robust Regularization with Adversarial Labelling of Perturbed Samples. | Xiaohui Guo, Richong Zhang, Yaowei Zheng, Yongyi Mao |
| 2021 | IJCAI | Hierarchical Modeling of Label Dependency and Label Noise in Fine-grained Entity Typing. | Junshuang Wu, Richong Zhang, Yongyi Mao, Masoumeh Soflaei Shahrbabak, Jinpeng Huai |
| 2021 | WWW | Unsupervised Semantic Association Learning with Latent Label Inference. | Yanzhao Zhang, Richong Zhang, Jaein Kim, Xudong Liu, Yongyi Mao |
| 2020 | AAAI | Aggregated Learning: A Vector-Quantization Approach to Learning Neural Network Classifiers. | Masoumeh Soflaei, Hongyu Guo, Ali Al-Bashabsheh, Yongyi Mao, Richong Zhang |
| 2020 | AAAI | Relation Extraction with Convolutional Network over Learnable Syntax-Transport Graph. | Kai Sun, Richong Zhang, Yongyi Mao, Samuel Mensah, Xudong Liu |
| 2020 | AAAI | Replicate, Walk, and Stop on Syntax: An Effective Neural Network Model for Aspect-Level Sentiment Classification. | Yaowei Zheng, Richong Zhang, Samuel Mensah, Yongyi Mao |
| 2020 | EMNLP | Neural Dialogue State Tracking with Temporally Expressive Networks. | Junfan Chen, Richong Zhang, Yongyi Mao, Jie Xu |
| 2020 | EMNLP | Parallel Interactive Networks for Multi-Domain Dialogue State Generation. | Junfan Chen, Richong Zhang, Yongyi Mao, Jie Xu |
| 2020 | EMNLP | Recurrent Interaction Network for Jointly Extracting Entities and Classifying Relations. | Kai Sun, Richong Zhang, Samuel Mensah, Yongyi Mao, Xudong Liu |
| 2020 | EMNLP | Learning VAE-LDA Models with Rounded Reparameterization Trick. | Runzhi Tian, Yongyi Mao, Richong Zhang |
| 2020 | WWW | Dynamic Graph Convolutional Networks for Entity Linking. | Junshuang Wu, Richong Zhang, Yongyi Mao, Hongyu Guo, Masoumeh Soflaei, Jinpeng Huai |
| 2020 | WWW | Anchored Model Transfer and Soft Instance Transfer for Cross-Task Cross-Domain Learning: A Study Through Aspect-Level Sentiment Classification. | Yaowei Zheng, Richong Zhang, Suyuchen Wang, Samuel Mensah, Yongyi Mao |
| 2019 | AAAI | MixUp as Locally Linear Out-of-Manifold Regularization. | Hongyu Guo, Yongyi Mao, Richong Zhang |
| 2019 | AAAI | LENA: Locality-Expanded Neural Embedding for Knowledge Base Completion. | Fanshuang Kong, Richong Zhang, Yongyi Mao, Ting Deng |
| 2019 | AAAI | Generating Chinese Ci with Designated Metrical Structure. | Richong Zhang, Xinyu Liu, Xinwei Chen, Zhiyuan Hu, Zhaoqing Xu, Yongyi Mao |
| 2019 | EMNLP | Uncover the Ground-Truth Relations in Distant Supervision: A Neural Expectation-Maximization Framework. | Junfan Chen, Richong Zhang, Yongyi Mao, Hongyu Guo, Jie Xu |
| 2019 | EMNLP | Aspect-Level Sentiment Analysis Via Convolution over Dependency Tree. | Kai Sun, Richong Zhang, Samuel Mensah, Yongyi Mao, Xudong Liu |
| 2019 | IJCAI | Modeling Noisy Hierarchical Types in Fine-Grained Entity Typing: A Content-Based Weighting Approach. | Junshuang Wu, Richong Zhang, Yongyi Mao, Hongyu Guo, Jinpeng Huai |
| 2019 | PRICAI | Writing to the Hopfield Memory via Training a Recurrent Network. | Han Bao, Richong Zhang, Yongyi Mao, Jinpeng Huai |
| 2019 | WWW | A Neural Bag-of-Words Modelling Framework for Link Prediction in Knowledge Bases with Sparse Connectivity. | Fanshuang Kong, Richong Zhang, Hongyu Guo, Samuel Mensah, Zhiyuan Hu, Yongyi Mao |
| 2018 | AAAI | Embedding of Hierarchically Typed Knowledge Bases. | Richong Zhang, Fanshuang Kong, Chenyue Wang, Yongyi Mao |
| 2018 | COLING | The APVA-TURBO Approach To Question Answering in Knowledge Base. | Yue Wang, Richong Zhang, Cheng Xu, Yongyi Mao |
| 2018 | EMNLP | Syntax Encoding with Application in Authorship Attribution. | Richong Zhang, Zhiyuan Hu, Hongyu Guo, Yongyi Mao |
| 2018 | WWW | Scalable Instance Reconstruction in Knowledge Bases via Relatedness Affiliated Embedding. | Richong Zhang, Junpeng Li, Jiajie Mei, Yongyi Mao |
| 2018 | SIGIR | On Link Prediction in Knowledge Bases: Max-K Criterion and Prediction Protocols. | Jiajie Mei, Richong Zhang, Yongyi Mao, Ting Deng |
| 2017 | ICTAI | User Interest Propagation and Its Application in Recommender System. | Xue Li, Richong Zhang, Jianxin Li |
| 2016 | DASFAA | Effective Result Inference for Context-Sensitive Tasks in Crowdsourcing. | Yili Fang, Hailong Sun, Guoliang Li, Richong Zhang, Jinpeng Huai |
| 2016 | IJCAI | On the Representation and Embedding of Knowledge Bases beyond Binary Relations. | Jianfeng Wen, Jianxin Li, Yongyi Mao, Shini Chen, Richong Zhang |
| 2016 | ICWS | Discovering Web Services with Reliable Quality: System Architecture and Algorithms. | Richong Zhang, Xudong Liu, Deliang Yi |
| 2016 | UAI | On Hyper-Parameter Estimation In Empirical Bayes: A Revisit of The MacKay Algorithm. | Chune Li, Yongyi Mao, Richong Zhang, Jinpeng Huai |
| 2015 | HPCC | LiveIndex: A Distributed Online Index System for Temporal Microblog Data. | Haifei Huang, Jianxin Li, Richong Zhang, Weiren Yu, Wuyang Ju |
| 2015 | HPCC | Discovering Event Evolution Chain in Microblog. | Zhongyu Lu, Weiren Yu, Richong Zhang, Jianxin Li, Hua Wei |
| 2014 | AAAI | A Model for Aggregating Contributions of Synergistic Crowdsourcing Workflows. | Yili Fang, Hailong Sun, Richong Zhang, Jinpeng Huai, Yongyi Mao |
| 2014 | ICWS | A Novel Approach for API Recommendation in Mashup Development. | Chune Li, Richong Zhang, Jinpeng Huai, Hailong Sun |
| 2014 | WISE | Discovering Semantic Mobility Pattern from Check-in Data. | Ji Yuan, Xudong Liu, Richong Zhang, Hailong Sun, Xiaohui Guo, Yanghao Wang |
| 2014 | UCC | Opinion Mining and Sentiment Analysis in Social Networks: A Retweeting Structure-Aware Approach. | Lu Lin, Jianxin Li, Richong Zhang, Weiren Yu, Chenggen Sun |
| 2014 | UCC | Online Bursty Event Detection from Microblog. | Jianxin Li, Zhenying Tai, Richong Zhang, Weiren Yu, Lu Liu |
| 2013 | CloudCom | Modeling the Performance of MapReduce under Resource Contentions and Task Failures. | Xiaolong Cui, Xuelian Lin, Chunming Hu, Richong Zhang, Chengzhang Wang |
| 2013 | SMC | Discovering User Preference from Folksonomy. | Xiaohui Guo, Richong Zhang, Jinpeng Huai, Hailong Sun, Xudong Liu |
| 2013 | WISE | Time-Aware Travel Attraction Recommendation. | Kai Wang, Richong Zhang, Xudong Liu, Xiaohui Guo, Hailong Sun, Jinpeng Huai |
| 2012 | WISE | Generating Tourism Path from Trajectories and Geo-Photos. | Zhixing Zeng, Richong Zhang, Xudong Liu, Xiaohui Guo, Hailong Sun |
| 2011 | IJCAI | Recommender Systems from "Words of Few Mouths". | Richong Zhang, Thomas T. Tran, Yongyi Mao |
| 2010 | AI | A Novel Approach for Recommending Ranked User-Generated Reviews. | Richong Zhang, Thomas T. Tran |
| 2010 | WWW | Review recommendation with graphical model and EM algorithm. | Richong Zhang, Thomas T. Tran |