| 2026 | ACL | RIMRULE: Improving Tool-Using Language Agents via MDL-Guided Rule Learning. | Xiang Gao, Yuguang Yao, Qi Zhang, Kaiwen Dong, Avinash Baidya, Ruocheng Guo, Hilaf Hasson, Kamalika Das |
| 2026 | ACL | ToolPRMBench: Evaluating and Advancing Process Reward Models for Tool-using Agents. | Dawei Li, Yuguang Yao, Zhen Tan, Huan Liu, Ruocheng Guo |
| 2025 | EMNLP | R2I-Bench: Benchmarking Reasoning-Driven Text-to-Image Generation. | Kaijie Chen, Zihao Lin, Zhiyang Xu, Ying Shen, Yuguang Yao, Joy Rimchala, Jiaxin Zhang, Lifu Huang |
| 2025 | ICML | Invariance Makes LLM Unlearning Resilient Even to Unanticipated Downstream Fine-Tuning. | Changsheng Wang, Yihua Zhang, Jinghan Jia, Parikshit Ram, Dennis Wei, Yuguang Yao, Soumyadeep Pal, Nathalie Baracaldo, Sijia Liu |
| 2025 | WACV | Can Adversarial Examples be Parsed to Reveal Victim Model Information? | Yuguang Yao, Jiancheng Liu, Yifan Gong, Xiaoming Liu, Yanzhi Wang, Xue Lin, Sijia Liu |
| 2024 | ICASSP | Elevating Visual Prompting in Transfer Learning Via Pruned Model Ensembles: No Retrain, No Pain. | Brian Zhang, Yuguang Yao, Sijia Liu |
| 2024 | ICLR | Backdoor Secrets Unveiled: Identifying Backdoor Data with Optimized Scaled Prediction Consistency. | Soumyadeep Pal, Yuguang Yao, Ren Wang, Bingquan Shen, Sijia Liu |
| 2024 | WACV | CryoRL: Reinforcement Learning Enables Efficient Cryo-EM Data Collection. | Quanfu Fan, Yilai Li, Yuguang Yao, John Cohn, Sijia Liu, Ziping Xu, Seychelle M. Vos, Michael A. Cianfrocco |
| 2023 | AAAI | Towards Understanding How Self-training Tolerates Data Backdoor Poisoning. | Soumyadeep Pal, Ren Wang, Yuguang Yao, Sijia Liu |
| 2023 | CVPR | Understanding and Improving Visual Prompting: A Label-Mapping Perspective. | Aochuan Chen, Yuguang Yao, Pin-Yu Chen, Yihua Zhang, Sijia Liu |
| 2023 | CVPR | Network Specialization via Feature-level Knowledge Distillation. | Gaowen Liu, Yuzhang Shang, Yuguang Yao, Ramana Kompella |
| 2023 | ICASSP | Visual Prompting for Adversarial Robustness. | Aochuan Chen, Peter Lorenz, Yuguang Yao, Pin-Yu Chen, Sijia Liu |
| 2023 | ICASSP | SMUG: Towards Robust Mri Reconstruction by Smoothed Unrolling. | Hui Li, Jinghan Jia, Shijun Liang, Yuguang Yao, Saiprasad Ravishankar, Sijia Liu |
| 2022 | ICASSP | When Does Backdoor Attack Succeed in Image Reconstruction? A Study of Heuristics vs. Bi-Level Solution. | Vardaan Taneja, Pin-Yu Chen, Yuguang Yao, Sijia Liu |
| 2022 | ICLR | Reverse Engineering of Imperceptible Adversarial Image Perturbations. | Yifan Gong, Yuguang Yao, Yize Li, Yimeng Zhang, Xiaoming Liu, Xue Lin, Sijia Liu |
| 2022 | ICLR | How to Robustify Black-Box ML Models? A Zeroth-Order Optimization Perspective. | Yimeng Zhang, Yuguang Yao, Jinghan Jia, Jinfeng Yi, Mingyi Hong, Shiyu Chang, Sijia Liu |
| 2022 | IJCAI | Learning to Generate Image Source-Agnostic Universal Adversarial Perturbations. | Pu Zhao, Parikshit Ram, Songtao Lu, Yuguang Yao, Djallel Bouneffouf, Xue Lin, Sijia Liu |
| 2021 | INFOCOM | DeepLoRa: Learning Accurate Path Loss Model for Long Distance Links in LPWAN. | Li Liu, Yuguang Yao, Zhichao Cao, Mi Zhang |
| 2020 | SENSYS | Patronus: preventing unauthorized speech recordings with support for selective unscrambling. | Lingkun Li, Manni Liu, Yuguang Yao, Fan Dang, Zhichao Cao, Yunhao Liu |
| 2020 | SENSYS | Wi-fi see it all: generative adversarial network-augmented versatile wi-fi imaging. | Chenning Li, Zheng Liu, Yuguang Yao, Zhichao Cao, Mi Zhang, Yunhao Liu |
| 2019 | EWSN | LoSee: Long-Range Shared Bike Communication System Based on LoRaWAN Protocol. | Yuguang Yao, Zijun Ma, Zhichao Cao |
| 2019 | EWSN | Poster: LoSee: Long-Range Shared Bike Communication System Based on LoRaWAN Protocol. | Yuguang Yao, Zijun Ma, Yifan Xu |
| 2019 | EWSN | Poster: Proactive ZigBee: A Novel MAC Mechanism Enabling Coordination between Wifi and ZigBee. | Yuguang Yao, Zijun Ma, Yifan Xu |