| 2026 | ACL | ProActor: Timing-Aware Reinforcement Learning for Proactive Task Scheduling Agents. | Lei Ding, Bin He, Chenguang Wang, Yang Liu |
| 2026 | ACL | Fico: Evaluating Vision-Language Models under Visual Fidelity and Compression at Scale. | Jianhong Tu, Nicholas Crispino, Kyle Montgomery, Chenguang Wang, Dawn Song |
| 2025 | ACL | From Perceptions to Decisions: Wildfire Evacuation Decision Prediction with Behavioral Theory-informed LLMs. | Ruxiao Chen, Chenguang Wang, Yuran Sun, Xilei Zhao, Susu Xu |
| 2025 | ACL | Mosaic-IT: Cost-Free Compositional Data Synthesis for Instruction Tuning. | Ming Li, Pei Chen, Chenguang Wang, Hongyu Zhao, Yijun Liang, Yupeng Hou, Fuxiao Liu, Tianyi Zhou |
| 2025 | ACL | COSMIC: Generalized Refusal Direction Identification in LLM Activations. | Vincent Siu, Nicholas Crispino, Zihao Yu, Sam Pan, Zhun Wang, Yang Liu, Dawn Song, Chenguang Wang |
| 2025 | EMNLP | AGENTVIGIL: Automatic Black-Box Red-teaming for Indirect Prompt Injection against LLM Agents. | Zhun Wang, Vincent Siu, Zhe Ye, Tianneng Shi, Yuzhou Nie, Xuandong Zhao, Chenguang Wang, Wenbo Guo, Dawn Song |
| 2025 | ICLR | JudgeBench: A Benchmark for Evaluating LLM-Based Judges. | Sijun Tan, Siyuan Zhuang, Kyle Montgomery, William Yuan Tang, Alejandro Cuadron, Chenguang Wang, Raluca A. Popa, Ion Stoica |
| 2025 | ICML | Sampling from Binary Quadratic Distributions via Stochastic Localization. | Chenguang Wang, Kaiyuan Cui, Weichen Zhao, Tianshu Yu |
| 2025 | KDD | Understanding Oversmoothing in Diffusion-Based GNNs From the Perspective of Operator Semigroup Theory. | Weichen Zhao, Chenguang Wang, Xinyan Wang, Congying Han, Tiande Guo, Tianshu Yu |
| 2025 | NAACL | RuleR: Improving LLM Controllability by Rule-based Data Recycling. | Ming Li, Han Chen, Chenguang Wang, Dang Nguyen, Dianqi Li, Tianyi Zhou |
| 2025 | SP | Preference Poisoning Attacks on Reward Model Learning. | Junlin Wu, Jiongxiao Wang, Chaowei Xiao, Chenguang Wang, Ning Zhang, Yevgeniy Vorobeychik |
| 2024 | ACL | Re-Tuning: Overcoming the Compositionality Limits of Large Language Models with Recursive Tuning. | Eric Pasewark, Kyle Montgomery, Kefei Duan, Dawn Song, Chenguang Wang |
| 2024 | ECAI | Domain Feature Perturbation for Domain Generalization. | Chenguang Wang, Zijun Zhang, Zhidan Zhou |
| 2024 | ICLR | Measuring Vision-Language STEM Skills of Neural Models. | Jianhao Shen, Ye Yuan, Srbuhi Mirzoyan, Ming Zhang, Chenguang Wang |
| 2024 | ICML | Agent Instructs Large Language Models to be General Zero-Shot Reasoners. | Nicholas Crispino, Kyle Montgomery, Fankun Zeng, Dawn Song, Chenguang Wang |
| 2024 | NAACL | Measuring Social Norms of Large Language Models. | Ye Yuan, Kexin Tang, Jianhao Shen, Ming Zhang, Chenguang Wang |
| 2023 | ICCV | Practical Membership Inference Attacks Against Large-Scale Multi-Modal Models: A Pilot Study. | Myeongseob Ko, Ming Jin, Chenguang Wang, Ruoxi Jia |
| 2023 | ICML | CodeIPPrompt: Intellectual Property Infringement Assessment of Code Language Models. | Zhiyuan Yu, Yuhao Wu, Ning Zhang, Chenguang Wang, Yevgeniy Vorobeychik, Chaowei Xiao |
| 2022 | AAAI | Protecting Intellectual Property of Language Generation APIs with Lexical Watermark. | Xuanli He, Qiongkai Xu, Lingjuan Lyu, Fangzhao Wu, Chenguang Wang |
| 2022 | ACL | DeepStruct: Pretraining of Language Models for Structure Prediction. | Chenguang Wang, Xiao Liu, Zui Chen, Haoyun Hong, Jie Tang, Dawn Song |
| 2022 | COLING | Joint Language Semantic and Structure Embedding for Knowledge Graph Completion. | Jianhao Shen, Chenguang Wang, Linyuan Gong, Dawn Song |
| 2022 | EMNLP | IELM: An Open Information Extraction Benchmark for Pre-Trained Language Models. | Chenguang Wang, Xiao Liu, Dawn Song |
| 2022 | EMNLP | Benchmarking Language Models for Code Syntax Understanding. | Da Shen, Xinyun Chen, Chenguang Wang, Koushik Sen, Dawn Song |
| 2022 | EMNLP | PALT: Parameter-Lite Transfer of Language Models for Knowledge Graph Completion. | Jianhao Shen, Chenguang Wang, Ye Yuan, Jiawei Han, Heng Ji, Koushik Sen, Ming Zhang, Dawn Song |
| 2022 | EMNLP | Fine-mixing: Mitigating Backdoors in Fine-tuned Language Models. | Zhiyuan Zhang, Lingjuan Lyu, Xingjun Ma, Chenguang Wang, Xu Sun |
| 2021 | EMNLP | Zero-Shot Information Extraction as a Unified Text-to-Triple Translation. | Chenguang Wang, Xiao Liu, Zui Chen, Haoyun Hong, Jie Tang, Dawn Song |
| 2021 | QRS | A system for Evaluating the Robustness of Embedded Intelligent Chips and Models. | Chenguang Wang, Zhixiao Sun, Qing Luo, Xinyu Wang, Tao Zhang, QianRu Wei, Jing Cheng, Depeng Gao |
| 2020 | COLING | PoD: Positional Dependency-Based Word Embedding for Aspect Term Extraction. | Yichun Yin, Chenguang Wang, Ming Zhang |
| 2019 | CVPR | Co-Occurrent Features in Semantic Segmentation. | Hang Zhang, Han Zhang, Chenguang Wang, Junyuan Xie |
| 2018 | ASPDAC | HLIFT: A high-level information flow tracking method for detecting hardware Trojans. | Chenguang Wang, Yici Cai, Qiang Zhou |
| 2018 | ASPDAC | ASAX: Automatic security assertion extraction for detecting Hardware Trojans. | Chenguang Wang, Yici Cai, Qiang Zhou, Haoyi Wang |
| 2018 | ICCAD | Electromagnetic equalizer: an active countermeasure against EM side-channel attack. | Chenguang Wang, Yici Cai, Haoyi Wang, Qiang Zhou |
| 2017 | CIKM | Distant Meta-Path Similarities for Text-Based Heterogeneous Information Networks. | Chenguang Wang, Yangqiu Song, Haoran Li, Yizhou Sun, Ming Zhang, Jiawei Han |
| 2017 | DASFAA | HINE: Heterogeneous Information Network Embedding. | Yuxin Chen, Chenguang Wang |
| 2017 | EMNLP | CROWD-IN-THE-LOOP: A Hybrid Approach for Annotating Semantic Roles. | Chenguang Wang, Alan Akbik, Laura Chiticariu, Yunyao Li, Fei Xia, Anbang Xu |
| 2017 | ICCD | Automatic Security Property Generation for Detecting Information-Leaking Hardware Trojans. | Chenguang Wang, Yici Cai, Qiang Zhou |
| 2017 | ICCD | Power Profile Equalizer: A Lightweight Countermeasure against Side-Channel Attack. | Chenguang Wang, Ming Yan, Yici Cai, Qiang Zhou, Jianlei Yang |
| 2017 | IJCAI | Semi-supervised Learning over Heterogeneous Information Networks by Ensemble of Meta-graph Guided Random Walks. | He Jiang, Yangqiu Song, Chenguang Wang, Ming Zhang, Yizhou Sun |
| 2017 | IJCAI | Active Learning for Black-Box Semantic Role Labeling with Neural Factors. | Chenguang Wang, Laura Chiticariu, Yunyao Li |
| 2017 | SIGMOD | Towards Re-defining Relation Understanding in Financial Domain. | Chenguang Wang, Douglas Burdick, Laura Chiticariu, Rajasekar Krishnamurthy, Yunyao Li, Huaiyu Zhu |
| 2016 | AAAI | Text Classification with Heterogeneous Information Network Kernels. | Chenguang Wang, Yangqiu Song, Haoran Li, Ming Zhang, Jiawei Han |
| 2016 | SDM | RelSim: Relation Similarity Search in Schema-Rich Heterogeneous Information Networks. | Chenguang Wang, Yizhou Sun, Yanglei Song, Jiawei Han, Yangqiu Song, Lidan Wang, Ming Zhang |
| 2015 | AAAI | Spectral Label Refinement for Noisy and Missing Text Labels. | Yangqiu Song, Chenguang Wang, Ming Zhang, Hailong Sun, Qiang Yang |
| 2015 | ICDM | KnowSim: A Document Similarity Measure on Structured Heterogeneous Information Networks. | Chenguang Wang, Yangqiu Song, Haoran Li, Ming Zhang, Jiawei Han |
| 2015 | IJCAI | Constrained Information-Theoretic Tripartite Graph Clustering to Identify Semantically Similar Relations. | Chenguang Wang, Yangqiu Song, Dan Roth, Chi Wang, Jiawei Han, Heng Ji, Ming Zhang |
| 2015 | KDD | Incorporating World Knowledge to Document Clustering via Heterogeneous Information Networks. | Chenguang Wang, Yangqiu Song, Ahmed El-Kishky, Dan Roth, Ming Zhang, Jiawei Han |
| 2013 | ACL | Paraphrasing Adaptation for Web Search Ranking. | Chenguang Wang, Nan Duan, Ming Zhou, Ming Zhang |