| 2026 | EACL | Generative Personality Simulation via Theory-Informed Structured Interview. | Pengda Wang, Huiqi Zou, Han Jiang, Hanjie Chen, Tianjun Sun, Xiaoyuan Yi, Ziang Xiao, Frederick L. Oswald |
| 2025 | ACL | Rethinking Diverse Human Preference Learning through Principal Component Analysis. | Feng Luo, Rui Yang, Hao Sun, Chunyuan Deng, Jiarui Yao, Jingyan Shen, Huan Zhang, Hanjie Chen |
| 2025 | ICASSP | ECG-guided individual identification via PPG. | Riling Wei, Hanjie Chen, Kelu Yao, Chuanguang Yang, Jun Wang, Chao Li |
| 2025 | ICLR | SPORTU: A Comprehensive Sports Understanding Benchmark for Multimodal Large Language Models. | Haotian Xia, Zhengbang Yang, Junbo Zou, Rhys Tracy, Yuqing Wang, Chi Lu, Christopher Lai, Yanjun He, Xun Shao, Zhuoqing Xie, Yuan-Fang Wang, Weining Shen, Hanjie Chen |
| 2025 | ICML | Learning Distribution-wise Control in Representation Space for Language Models. | Chunyuan Deng, Ruidi Chang, Hanjie Chen |
| 2025 | NAACL | SAFR: Neuron Redistribution for Interpretability. | Ruidi Chang, Chunyuan Deng, Hanjie Chen |
| 2025 | NAACL | Benchmarking Large Language Models on Answering and Explaining Challenging Medical Questions. | Hanjie Chen, Zhouxiang Fang, Yash Singla, Mark Dredze |
| 2025 | NAACL | MiCEval: Unveiling Multimodal Chain of Thought's Quality via Image Description and Reasoning Steps. | Xiongtao Zhou, Jie He, Lanyu Chen, Jingyu Li, Haojing Chen, Vctor Gutirrez-Basulto, Jeff Z. Pan, Hanjie Chen |
| 2024 | ACL | RORA: Robust Free-Text Rationale Evaluation. | Zhengping Jiang, Yining Lu, Hanjie Chen, Daniel Khashabi, Benjamin Van Durme, Anqi Liu |
| 2023 | AAAI | Improving Interpretability via Explicit Word Interaction Graph Layer. | Arshdeep Sekhon, Hanjie Chen, Aman Shrivastava, Zhe Wang, Yangfeng Ji, Yanjun Qi |
| 2023 | ACL | REV: Information-Theoretic Evaluation of Free-Text Rationales. | Hanjie Chen, Faeze Brahman, Xiang Ren, Yangfeng Ji, Yejin Choi, Swabha Swayamdipta |
| 2022 | AAAI | Adversarial Training for Improving Model Robustness? Look at Both Prediction and Interpretation. | Hanjie Chen, Yangfeng Ji |
| 2022 | EMNLP | Self-training with Two-phase Self-augmentation for Few-shot Dialogue Generation. | Wanyu Du, Hanjie Chen, Yangfeng Ji |
| 2021 | NAACL | Explaining Neural Network Predictions on Sentence Pairs via Learning Word-Group Masks. | Hanjie Chen, Song Feng, Jatin Ganhotra, Hui Wan, R. Chulaka Gunasekara, Sachindra Joshi, Yangfeng Ji |
| 2020 | ACL | Generating Hierarchical Explanations on Text Classification via Feature Interaction Detection. | Hanjie Chen, Guangtao Zheng, Yangfeng Ji |
| 2020 | EMNLP | Learning Variational Word Masks to Improve the Interpretability of Neural Text Classifiers. | Hanjie Chen, Yangfeng Ji |
| 2017 | IWCMC | Volterra-based nonlinear equalization for nonlinearity mitigation in organic VLC. | Xiangyu Li, Hanjie Chen, Shang-Bin Li, Qian Gao, Chen Gong, Zhengyuan Xu |