| 2026 | ACL | A Reward-Guided Dual-Phase Framework for Adaptive Inference-Time Reasoning. | Yingqian Cui, Zhenwei Dai, Pengfei He, Bing He, Hui Liu, Zhan Shi, Xianfeng Tang, Jingying Zeng, Suhang Wang, Yue Xing, Jiliang Tang, Benoit Dumoulin |
| 2026 | ACL | CODEPROMPTZIP: Code-specific Prompt Compression for Retrieval-Augmented Generation in Coding Tasks with LMs. | Pengfei He, Shaowei Wang, Tse-Hsun Chen |
| 2026 | ACL | SLICEFORMER: Static Program Slicing Using Language Models With Dataflow-Aware Pretraining and Constrained Decoding. | Pengfei He, Shaowei Wang, Tse-Hsun Chen, Muhammad Asaduzzaman |
| 2026 | ACL | Retrieval Heads are Dynamic. | Yuping Lin, Zitao Li, Yue Xing, Pengfei He, Yingqian Cui, Yaliang Li, Bolin Ding, Jingren Zhou, Jiliang Tang |
| 2026 | ACL | How Memory Management Impacts LLM Agents: An Empirical Study of Experience-Following Behavior. | Zidi Xiong, Yuping Lin, Wenya Xie, Pengfei He, Zirui Liu, Jiliang Tang, Himabindu Lakkaraju, Zhen Xiang |
| 2026 | EACL | PEAR: Planner-Executor Agent Robustness Benchmark. | Shen Dong, Mingxuan Zhang, Pengfei He, Li Ma, Bhavani Thuraisingham, Hui Liu, Yue Xing |
| 2025 | ACL | Unveiling Privacy Risks in LLM Agent Memory. | Bo Wang, Weiyi He, Shenglai Zeng, Zhen Xiang, Yue Xing, Jiliang Tang, Pengfei He |
| 2025 | ACL | Stepwise Perplexity-Guided Refinement for Efficient Chain-of-Thought Reasoning in Large Language Models. | Yingqian Cui, Pengfei He, Jingying Zeng, Hui Liu, Xianfeng Tang, Zhenwei Dai, Yan Han, Chen Luo, Jing Huang, Zhen Li, Suhang Wang, Yue Xing, Jiliang Tang, Qi He |
| 2025 | ACL | Red-Teaming LLM Multi-Agent Systems via Communication Attacks. | Pengfei He, Yuping Lin, Shen Dong, Han Xu, Yue Xing, Hui Liu |
| 2025 | ACL | Towards Context-Robust LLMs: A Gated Representation Fine-tuning Approach. | Shenglai Zeng, Pengfei He, Kai Guo, Tianqi Zheng, Hanqing Lu, Yue Xing, Hui Liu |
| 2025 | AISTATS | A Theoretical Understanding of Chain-of-Thought: Coherent Reasoning and Error-Aware Demonstration. | Yingqian Cui, Pengfei He, Xianfeng Tang, Qi He, Chen Luo, Jiliang Tang, Yue Xing |
| 2025 | AISTATS | Superiority of Multi-Head Attention: A Theoretical Study in Shallow Transformers in In-Context Linear Regression. | Yingqian Cui, Jie Ren, Pengfei He, Hui Liu, Jiliang Tang, Yue Xing |
| 2025 | EMNLP | Advancing Reasoning with Off-the-Shelf LLMs: A Semantic Structure Perspective. | Pengfei He, Zitao Li, Yue Xing, Yaliang Li, Jiliang Tang, Bolin Ding |
| 2025 | EMNLP | Can Multiple Responses from an LLM Reveal the Sources of Its Uncertainty? | Yang Nan, Pengfei He, Ravi Tandon, Han Xu |
| 2025 | EMNLP | Mitigating the Privacy Issues in Retrieval-Augmented Generation (RAG) via Pure Synthetic Data. | Shenglai Zeng, Jiankun Zhang, Pengfei He, Jie Ren, Tianqi Zheng, Hanqing Lu, Han Xu, Hui Liu, Yue Xing, Jiliang Tang |
| 2025 | GLOBECOM | NOC4SC: A Novel Paradigm of Multi-User Semantic Communication Enabled by Non-Orthogonal Codewords. | Yunhao Wang, Pengfei He, Shuai Ma, Dahua Gao, Guangming Shi |
| 2025 | NAACL | Data Poisoning for In-context Learning. | Pengfei He, Han Xu, Yue Xing, Hui Liu, Makoto Yamada, Jiliang Tang |
| 2025 | SANER | Evaluating the Effectiveness and Efficiency of Demonstration Retrievers in RAG for Coding Tasks. | Pengfei He, Shaowei Wang, Shaiful Alam Chowdhury, Tse-Hsun Chen |
| 2024 | ACL | Exploring Memorization in Fine-tuned Language Models. | Shenglai Zeng, Yaxin Li, Jie Ren, Yiding Liu, Han Xu, Pengfei He, Yue Xing, Shuaiqiang Wang, Jiliang Tang, Dawei Yin |
| 2024 | ACL | The Good and The Bad: Exploring Privacy Issues in Retrieval-Augmented Generation (RAG). | Shenglai Zeng, Jiankun Zhang, Pengfei He, Yiding Liu, Yue Xing, Han Xu, Jie Ren, Yi Chang, Shuaiqiang Wang, Dawei Yin, Jiliang Tang |
| 2024 | EMNLP | Towards Understanding Jailbreak Attacks in LLMs: A Representation Space Analysis. | Yuping Lin, Pengfei He, Han Xu, Yue Xing, Makoto Yamada, Hui Liu, Jiliang Tang |
| 2024 | EMNLP | On the Generalization of Training-based ChatGPT Detection Methods. | Han Xu, Jie Ren, Pengfei He, Shenglai Zeng, Yingqian Cui, Amy Liu, Hui Liu, Jiliang Tang |
| 2024 | ICIP | LSDM-PCB: A Lightweight Small Defect Detection Model for Printed Circuit Board. | Qi Zeng, Chongren Zhao, Pengfei He, Hongchao Gao |
| 2024 | ICLR | Sharpness-Aware Data Poisoning Attack. | Pengfei He, Han Xu, Jie Ren, Yingqian Cui, Shenglai Zeng, Hui Liu, Charu C. Aggarwal, Jiliang Tang |
| 2024 | ICRA | An Integrated Position-velocity-force Method for Safety-enhanced Shared Control in Robot-assisted Surgical Cutting. | Xilin Xiao, Xiaojian Li, Yudong Shi, Jin Fang, Lin Li, Pengfei He, Hangjie Mo |
| 2023 | CSCWD | BAT: Mining Binary-API Topic for Multi-service Application Development. | Pengfei He, Linlin Liu, Dianlong You, Limin Shen, Zhen Chen |
| 2023 | ICML | Probabilistic Categorical Adversarial Attack and Adversarial Training. | Han Xu, Pengfei He, Jie Ren, Yuxuan Wan, Zitao Liu, Hui Liu, Jiliang Tang |
| 2022 | CIKM | PROPN: Personalized Probabilistic Strategic Parameter Optimization in Recommendations. | Pengfei He, Haochen Liu, Xiangyu Zhao, Hui Liu, Jiliang Tang |
| 2022 | EMNLP | Rainier: Reinforced Knowledge Introspector for Commonsense Question Answering. | Jiacheng Liu, Skyler Hallinan, Ximing Lu, Pengfei He, Sean Welleck, Hannaneh Hajishirzi, Yejin Choi |
| 2022 | UIC | Seizing the Long Tail: Neural Complementary Recommendation for Cloud API Delivery. | Pengfei He, Wenchao Qi, Xiaowei Liu, Linlin Liu, Dianlong You, Limin Shen, Zhen Chen |
| 2019 | ICA3PP | Stable Clustering Algorithm for Routing Establishment in Vehicular Ad-Hoc Networks. | Jieying Zhou, Pengfei He, Yinglin Liu, Weigang Wu |
| 2019 | ICA3PP | Network Intrusion Detection Framework Based on Embedded Tree Model. | Jieying Zhou, Pengfei He, Rongfa Qiu, Weigang Wu |
| 2017 | GLOBECOM | CR-IIA: Collaborative Recommendation Algorithm Based on Implicit Item Associations. | Pengfei He, Li Yu, Jingru Li, Chaozhun Wen |
| 2015 | CEC | A modified Alopex-based evolutionary algorithm and its application on parameter estimation. | Pengfei He, Shaojun Li |