| 2026 | ACL | CURE: Critique-Driven Unified Reinforcement Learning for Test-Time Self-Improvement. | Guirong Chen, Shuqi Ye, Wenkai Yang, Shiqi Shen, Guangyao Shen, Yankai Lin |
| 2025 | ACL | KAPA: A Deliberative Agent Framework with Tree-Structured Knowledge Base for Multi-Domain User Intent Understanding. | Jiakai Tang, Shiqi Shen, Zhipeng Wang, Gong Zhi, Xueyang Feng, Zexu Sun, Haoran Tan, Xu Chen |
| 2025 | ICLR | Super(ficial)-alignment: Strong Models May Deceive Weak Models in Weak-to-Strong Generalization. | Wenkai Yang, Shiqi Shen, Guangyao Shen, Wei Yao, Yong Liu, Gong Zhi, Yankai Lin, Ji-Rong Wen |
| 2025 | ICML | TINED: GNNs-to-MLPs by Teacher Injection and Dirichlet Energy Distillation. | Ziang Zhou, Zhihao Ding, Jieming Shi, Qing Li, Shiqi Shen |
| 2024 | CIKM | SGOOD: Substructure-enhanced Graph-Level Out-of-Distribution Detection. | Zhihao Ding, Jieming Shi, Shiqi Shen, Xuequn Shang, Jiannong Cao, Zhipeng Wang, Zhi Gong |
| 2024 | EMNLP | Towards Tool Use Alignment of Large Language Models. | Zhiyuan Chen, Shiqi Shen, Guangyao Shen, Gong Zhi, Xu Chen, Yankai Lin |
| 2023 | IJCNN | Attention-Capsule Network for Low-Light Image Recognition. | Shiqi Shen, Zetao Jiang, Xiaochun Lei, Xu Wu, Yuting He |
| 2023 | RecSys | When Fairness meets Bias: a Debiased Framework for Fairness aware Top-N Recommendation. | Jiakai Tang, Shiqi Shen, Zhipeng Wang, Zhi Gong, Jingsen Zhang, Xu Chen |
| 2022 | CCS | Membership Inference Attacks and Generalization: A Causal Perspective. | Teodora Baluta, Shiqi Shen, S. Hitarth, Shruti Tople, Prateek Saxena |
| 2022 | WWW | Sequential Recommendation with Decomposed Item Feature Routing. | Kun Lin, Zhenlei Wang, Shiqi Shen, Zhipeng Wang, Bo Chen, Xu Chen |
| 2022 | WWW | Unbiased Sequential Recommendation with Latent Confounders. | Zhenlei Wang, Shiqi Shen, Zhipeng Wang, Bo Chen, Xu Chen, Ji-Rong Wen |
| 2021 | AsiaCCS | Localizing Vulnerabilities Statistically From One Exploit. | Shiqi Shen, Aashish Kolluri, Zhen Dong, Prateek Saxena, Abhik Roychoudhury |
| 2021 | DIMVA | Refined Grey-Box Fuzzing with Sivo. | Ivica Nikolic, Radu Mantu, Shiqi Shen, Prateek Saxena |
| 2019 | CCS | Quantitative Verification of Neural Networks and Its Security Applications. | Teodora Baluta, Shiqi Shen, Shweta Shinde, Kuldeep S. Meel, Prateek Saxena |
| 2019 | NDSS | Neuro-Symbolic Execution: Augmenting Symbolic Execution with Neural Constraints. | Shiqi Shen, Shweta Shinde, Soundarya Ramesh, Abhik Roychoudhury, Prateek Saxena |
| 2016 | ACL | Neural Relation Extraction with Selective Attention over Instances. | Yankai Lin, Shiqi Shen, Zhiyuan Liu, Huanbo Luan, Maosong Sun |
| 2016 | ACL | Minimum Risk Training for Neural Machine Translation. | Shiqi Shen, Yong Cheng, Zhongjun He, Wei He, Hua Wu, Maosong Sun, Yang Liu |
| 2016 | ACSAC | Auror: defending against poisoning attacks in collaborative deep learning systems. | Shiqi Shen, Shruti Tople, Prateek Saxena |
| 2016 | IJCAI | Agreement-Based Joint Training for Bidirectional Attention-Based Neural Machine Translation. | Yong Cheng, Shiqi Shen, Zhongjun He, Wei He, Hua Wu, Maosong Sun, Yang Liu |
| 2015 | EMNLP | Consistency-Aware Search for Word Alignment. | Shiqi Shen, Yang Liu, Maosong Sun, Huan-Bo Luan |