| 2026 | ACL | Unlearners Can Lie: Evaluating and Improving Honesty in LLM Unlearning. | Renjie Gu, Jiazhen Du, Yihua Zhang, Sijia Liu |
| 2026 | ACL | ReasonRec: A Reasoning-Augmented Multimodal Agent for Unified Recommendation. | Yihua Zhang, Mingfu Liang, Jiyan Yang, Rong Jin, Wen-Yen Chen, Yiping Han, Huayu Li, Buyun Zhang, Liang Luo, Luke Simon, Sijia Liu, Tianlong Chen, Xi Liu |
| 2025 | AAAI | Visual Prompting Upgrades Neural Network Sparsification: A Data-Model Perspective. | Can Jin, Tianjin Huang, Yihua Zhang, Mykola Pechenizkiy, Sijia Liu, Shiwei Liu, Tianlong Chen |
| 2025 | ACL | SEUF: Is Unlearning One Expert Enough for Mixture-of-Experts LLMs? | Haomin Zhuang, Yihua Zhang, Kehan Guo, Jinghan Jia, Gaowen Liu, Sijia Liu, Xiangliang Zhang |
| 2025 | CVPR | Edit Away and My Face Will not Stay: Personal Biometric Defense against Malicious Generative Editing. | Hanhui Wang, Yihua Zhang, Ruizheng Bai, Yue Zhao, Sijia Liu, Zhengzhong Tu |
| 2025 | EMNLP | Reasoning Model Unlearning: Forgetting Traces, Not Just Answers, While Preserving Reasoning Skills. | Changsheng Wang, Chongyu Fan, Yihua Zhang, Jinghan Jia, Dennis Wei, Parikshit Ram, Nathalie Baracaldo, Sijia Liu |
| 2025 | ICASSP | Pruning then Reweighting: Towards Data-Efficient Training of Diffusion Models. | Yize Li, Yihua Zhang, Sijia Liu, Xue Lin |
| 2025 | ICCV | Invisible Watermarks, Visible Gains: Steering Machine Unlearning with Bi-Level Watermarking Design. | Yuhao Sun, Yihua Zhang, Gaowen Liu, Hongtao Xie, Sijia Liu |
| 2025 | ICLR | When is Task Vector Provably Effective for Model Editing? A Generalization Analysis of Nonlinear Transformers. | Hongkang Li, Yihua Zhang, Shuai Zhang, Pin-Yu Chen, Sijia Liu, Meng Wang |
| 2025 | ICML | Towards LLM Unlearning Resilient to Relearning Attacks: A Sharpness-Aware Minimization Perspective and Beyond. | Chongyu Fan, Jinghan Jia, Yihua Zhang, Anil Ramakrishna, Mingyi Hong, Sijia Liu |
| 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 |
| 2024 | ECCV | To Generate or Not? Safety-Driven Unlearned Diffusion Models Are Still Easy to Generate Unsafe Images ... For Now. | Yimeng Zhang, Jinghan Jia, Xin Chen, Aochuan Chen, Yihua Zhang, Jiancheng Liu, Ke Ding, Sijia Liu |
| 2024 | EMNLP | SOUL: Unlocking the Power of Second-Order Optimization for LLM Unlearning. | Jinghan Jia, Yihua Zhang, Yimeng Zhang, Jiancheng Liu, Bharat Runwal, James Diffenderfer, Bhavya Kailkhura, Sijia Liu |
| 2024 | ICASSP | The Power of Few: Accelerating and Enhancing Data Reweighting with Coreset Selection. | Mohammad Jafari, Yimeng Zhang, Yihua Zhang, Sijia Liu |
| 2024 | ICLR | DeepZero: Scaling Up Zeroth-Order Optimization for Deep Model Training. | Aochuan Chen, Yimeng Zhang, Jinghan Jia, James Diffenderfer, Konstantinos Parasyris, Jiancheng Liu, Yihua Zhang, Zheng Zhang, Bhavya Kailkhura, Sijia Liu |
| 2024 | ICLR | SalUn: Empowering Machine Unlearning via Gradient-based Weight Saliency in Both Image Classification and Generation. | Chongyu Fan, Jiancheng Liu, Yihua Zhang, Eric Wong, Dennis Wei, Sijia Liu |
| 2024 | ICML | Revisiting Zeroth-Order Optimization for Memory-Efficient LLM Fine-Tuning: A Benchmark. | Yihua Zhang, Pingzhi Li, Junyuan Hong, Jiaxiang Li, Yimeng Zhang, Wenqing Zheng, Pin-Yu Chen, Jason D. Lee, Wotao Yin, Mingyi Hong, Zhangyang Wang, Sijia Liu, Tianlong Chen |
| 2023 | CVPR | Understanding and Improving Visual Prompting: A Label-Mapping Perspective. | Aochuan Chen, Yuguang Yao, Pin-Yu Chen, Yihua Zhang, Sijia Liu |
| 2023 | CVPR | A Pilot Study of Query-Free Adversarial Attack against Stable Diffusion. | Haomin Zhuang, Yihua Zhang, Sijia Liu |
| 2023 | ICASSP | Robustness-Preserving Lifelong Learning Via Dataset Condensation. | Jinghan Jia, Yihua Zhang, Dogyoon Song, Sijia Liu, Alfred O. Hero III |
| 2023 | ICCV | Robust Mixture-of-Expert Training for Convolutional Neural Networks. | Yihua Zhang, Ruisi Cai, Tianlong Chen, Guanhua Zhang, Huan Zhang, Pin-Yu Chen, Shiyu Chang, Zhangyang Wang, Sijia Liu |
| 2023 | ICLR | TextGrad: Advancing Robustness Evaluation in NLP by Gradient-Driven Optimization. | Bairu Hou, Jinghan Jia, Yihua Zhang, Guanhua Zhang, Yang Zhang, Sijia Liu, Shiyu Chang |
| 2023 | ICLR | What Is Missing in IRM Training and Evaluation? Challenges and Solutions. | Yihua Zhang, Pranay Sharma, Parikshit Ram, Mingyi Hong, Kush R. Varshney, Sijia Liu |
| 2023 | ICML | Linearly Constrained Bilevel Optimization: A Smoothed Implicit Gradient Approach. | Prashant Khanduri, Ioannis C. Tsaknakis, Yihua Zhang, Jia Liu, Sijia Liu, Jiawei Zhang, Mingyi Hong |
| 2022 | CVPR | Quarantine: Sparsity Can Uncover the Trojan Attack Trigger for Free. | Tianlong Chen, Zhenyu Zhang, Yihua Zhang, Shiyu Chang, Sijia Liu, Zhangyang Wang |
| 2022 | FIE | Considering the Community of Inquiry Framework in Online Engineering Education. | Yihua Zhang, Christian Sthr, Susanne Strmberg Jmsvi, Jens Kabo |
| 2022 | ICML | Revisiting and Advancing Fast Adversarial Training Through The Lens of Bi-Level Optimization. | Yihua Zhang, Guanhua Zhang, Prashant Khanduri, Mingyi Hong, Shiyu Chang, Sijia Liu |
| 2022 | UAI | Distributed adversarial training to robustify deep neural networks at scale. | Gaoyuan Zhang, Songtao Lu, Yihua Zhang, Xiangyi Chen, Pin-Yu Chen, Quanfu Fan, Lee Martie, Lior Horesh, Mingyi Hong, Sijia Liu |
| 2019 | ISCAS | A Stacked 425 Gb/s Optical Receiver in 28 nm CMOS with 0.154 mW/Gb/s Power Efficiency. | Yihua Zhang, Zhuoqi Guo, Yang Xie, Dan Li, Shiquan Fan, Xiaoyan Gui, Li Geng |
| 2018 | ISCAS | Low-Noise High-Linearity 56Gb/s PAM-4 Optical Receiver in 45nm SOI CMOS. | Yang Xie, Dan Li, Yiqun Liu, Ming Liu, Yihua Zhang, Xiaoli Wang, Li Geng |
| 2017 | ESORICS | Enforcing Input Correctness via Certification in Garbled Circuit Evaluation. | Yihua Zhang, Marina Blanton, Fattaneh Bayatbabolghani |
| 2013 | CCS | Efficient dynamic provable possession of remote data via balanced update trees. | Yihua Zhang, Marina Blanton |
| 2013 | CCS | PICCO: a general-purpose compiler for private distributed computation. | Yihua Zhang, Aaron Steele, Marina Blanton |
| 2013 | NDSS | Secure Computation on Floating Point Numbers. | Mehrdad Aliasgari, Marina Blanton, Yihua Zhang, Aaron Steele |
| 2010 | SECRYPT | Confidentiality and Integrity for SUM Aggregation in Sensor Networks. | Keith B. Frikken, Yihua Zhang |
| 2000 | ASPDAC | An algorithm for VLSI implementation of highly efficient cubic-polynomial evaluation. | Fan Mo, Yihua Zhang, Jun Yu, Qianling Zhang |