| 2026 | WWW | TaoSR-AGRL: Adaptive Guided Reinforcement Learning Framework for E-commerce Search Relevance. | Jianhui Yang, Yiming Jin, Pengkun Jiao, Chenhe Dong, Zerui Huang, Shaowei Yao, Xiaojiang Zhou, Dan Ou, Haihong Tang |
| 2026 | SIGIR | Learning to Trust: Dynamic Utilization of Retrieval-Augmented Generation for E-commerce Search Relevance. | Tingqiao Xu, Shaowei Yao, Chenhe Dong, Yiming Jin, Zerui Huang, Dan Ou, Haihong Tang, Bo Zheng |
| 2025 | COLING | Enhancing Factual Consistency in Text Summarization via Counterfactual Debiasing. | Zhenqing Ling, Yuexiang Xie, Chenhe Dong, Ying Shen |
| 2023 | EMNLP | Tunable Soft Prompts are Messengers in Federated Learning. | Chenhe Dong, Yuexiang Xie, Bolin Ding, Ying Shen, Yaliang Li |
| 2022 | KSEM | Cross-perspective Graph Contrastive Learning. | Shiyang Lin, Chenhe Dong, Ying Shen |
| 2021 | EMNLP | HRKD: Hierarchical Relational Knowledge Distillation for Cross-domain Language Model Compression. | Chenhe Dong, Yaliang Li, Ying Shen, Minghui Qiu |
| 2021 | EMNLP | EfficientBERT: Progressively Searching Multilayer Perceptron via Warm-up Knowledge Distillation. | Chenhe Dong, Guangrun Wang, Hang Xu, Jiefeng Peng, Xiaozhe Ren, Xiaodan Liang |
| 2019 | ICIP | Combination of Appearance and License Plate Features for Vehicle Re-Identification. | Yanguang He, Chenhe Dong, Ying Wei |