| 2026 | ACL | CLARity: Reasoning Consistency Alone Can Teach Reinforced Experts. | Jiuheng Lin, Cong Jiang, Zirui Wu, Jiarui Sun, Yansong Feng |
| 2026 | DATE | Lithography Hotspot Detection for Complex Non-Manhattan Layouts via Graph Neural Network. | Bohao Li, Ranran Liu, Yumeng Liu, Cong Jiang, Kang Liu, Bei Yu, Kun Ren, Qi Sun, Cheng Zhuo |
| 2025 | ACL | Automating Legal Interpretation with LLMs: Retrieval, Generation, and Evaluation. | Kangcheng Luo, Quzhe Huang, Cong Jiang, Yansong Feng |
| 2025 | DAC | Generalizable Lithographic Hotspot Detection Using Asynchronous Meta-Learning with Only One Shot. | Cong Jiang, Yujia Wang, Dan Feng, Haoyu Yang, Kang Liu |
| 2025 | WWW | Selective Multi-grained Alignment for Text-Video Retrieval. | Ziyi Bian, Cong Jiang, Fangzhi Zhu, Zheng Zhang |
| 2025 | WWW | DMLoRA: Dynamic Multi-Subspace Low-Rank Adaptation. | Cong Jiang, Fangzhi Zhu, Xiaowei Chen, Junxiong Zhu, Bo Zheng, Yifeng Wang, Zheng Zhang |
| 2024 | SIGIR | GATS: Generative Audience Targeting System for Online Advertising. | Cong Jiang, Zhongde Chen, Bo Zhang, Yankun Ren, Xin Dong, Lei Cheng, Xinxing Yang, Longfei Li, Jun Zhou, Linjian Mo |
| 2024 | SIGIR | Enhancing Sequential Recommenders with Augmented Knowledge from Aligned Large Language Models. | Yankun Ren, Zhongde Chen, Xinxing Yang, Longfei Li, Cong Jiang, Lei Cheng, Bo Zhang, Linjian Mo, Jun Zhou |
| 2023 | ICAIL | Legal Syllogism Prompting: Teaching Large Language Models for Legal Judgment Prediction. | Cong Jiang, Xiaolei Yang |
| 2022 | CIKM | CFS-MTL: A Causal Feature Selection Mechanism for Multi-task Learning via Pseudo-intervention. | Zhongde Chen, Ruize Wu, Cong Jiang, Honghui Li, Xin Dong, Can Long, Yong He, Lei Cheng, Linjian Mo |
| 2022 | EMNLP | Do Charge Prediction Models Learn Legal Theory? | Zhenwei An, Quzhe Huang, Cong Jiang, Yansong Feng, Dongyan Zhao |