| 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 | NDSS | BSFuzzer: Context-Aware Semantic Fuzzing for BLE Logic Flaw Detection. | Ting Yang, Yue Qin, Lan Zhang, Zhiyuan Fu, Junfan Chen, Jice Wang, Shangru Zhao, Qi Li, Ruidong Li, He Wang, Yuqing Zhang |
| 2026 | WWW | Expectation-Maximization Driven Contrastive Disentanglement for Generalized Category Discovery. | Weiyi Yang, Richong Zhang, Junfan Chen, Jiawei Sheng, Lihong Wang |
| 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 | APSEC | MAAP: A Self-Evolving Multi-Agent Automated Vulnerability Repair Framework for Python. | Junfan Chen, Zhiyuan Fu, Ting Yang, Hongyu Sun, Ruidong Li, Yuqing Zhang |
| 2025 | EMNLP | Calibrating Pseudo-Labeling with Class Distribution for Semi-supervised Text Classification. | Weiyi Yang, Richong Zhang, Junfan Chen, Jiawei Sheng |
| 2025 | INDIN | An Interpretable Fourier Kolmogorov-Arnold Network for State-of-Health Estimation of Lithium-ion Batteries with Partial Charging Data. | Jiang He, Tianfu Li, Junfan Chen, Tao Liu |
| 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 |
| 2025 | TrustCom | FDLLM: A Dedicated Detector for Black-Box LLMs Fingerprinting. | Zhiyuan Fu, Junfan Chen, Lan Zhang, Ting Yang, Jun Niu, Hongyu Sun, Ruidong Li, Peng Liu, Jice Wang, Fannv He, Yuqing Zhang |
| 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 | 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 | 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 | 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 | KDD | Open-Set Semi-Supervised Text Classification with Latent Outlier Softening. | Junfan Chen, Richong Zhang, Junchi Chen, Chunming Hu, Yongyi Mao |
| 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 | 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 | 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 | A Hierarchical N-Gram Framework for Zero-Shot Link Prediction. | Mingchen Li, Junfan Chen, Samuel Mensah, Nikolaos Aletras, Xiulong Yang, Yang Ye |
| 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 |
| 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 |
| 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 |
| 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 |