| 2026 | WACV | Conversational Image Generation: Towards Multi-Round Personalized Generation with Multi-Modal Language Models. | Haochen Zhang, Animesh Sinha, Felix Juefei-Xu, Haoyu Ma, Kunpeng Li, Zhipeng Fan, Xiaoliang Dai, Tingbo Hou, Peizhao Zhang, Zecheng He |
| 2025 | CVPR | Movie Weaver: Tuning-Free Multi-Concept Video Personalization with Anchored Prompts. | Feng Liang, Haoyu Ma, Zecheng He, Tingbo Hou, Ji Hou, Kunpeng Li, Xiaoliang Dai, Felix Juefei-Xu, Samaneh Azadi, Animesh Sinha, Peizhao Zhang, Peter Vajda, Diana Marculescu |
| 2023 | CVPR | Trainable Projected Gradient Method for Robust Fine-Tuning. | Junjiao Tian, Xiaoliang Dai, Chih-Yao Ma, Zecheng He, Yen-Cheng Liu, Zsolt Kira |
| 2021 | AAAI | ActionBert: Leveraging User Actions for Semantic Understanding of User Interfaces. | Zecheng He, Srinivas Sunkara, Xiaoxue Zang, Ying Xu, Lijuan Liu, Nevan Wichers, Gabriel Schubiner, Ruby B. Lee, Jindong Chen |
| 2021 | HPCA | New Models for Understanding and Reasoning about Speculative Execution Attacks. | Zecheng He, Guangyuan Hu, Ruby B. Lee |
| 2021 | MICCAI | A Hierarchical Feature Constraint to Camouflage Medical Adversarial Attacks. | Qingsong Yao, Zecheng He, Yi Lin, Kai Ma, Yefeng Zheng, S. Kevin Zhou |
| 2020 | MICCAI | Miss the Point: Targeted Adversarial Attack on Multiple Landmark Detection. | Qingsong Yao, Zecheng He, Hu Han, S. Kevin Zhou |
| 2019 | ACSAC | Model inversion attacks against collaborative inference. | Zecheng He, Tianwei Zhang, Ruby B. Lee |
| 2019 | CVPR | Sensitive-Sample Fingerprinting of Deep Neural Networks. | Zecheng He, Tianwei Zhang, Ruby B. Lee |
| 2019 | TrustCom | Power-Grid Controller Anomaly Detection with Enhanced Temporal Deep Learning. | Zecheng He, Aswin Raghavan, Guangyuan Hu, Sek M. Chai, Ruby B. Lee |
| 2017 | ICIP | Cross-scale color image restoration under high density Salt-and-Pepper Noise. | Zecheng He, Ketan Tang, Lu Fang |
| 2017 | MICRO | How secure is your cache against side-channel attacks? | Zecheng He, Ruby B. Lee |