| 2026 | EACL | A Reinforcement Learning Framework for Robust and Secure LLM Watermarking. | Li An, Yujian Liu, Yepeng Liu, Yuheng Bu, Yang Zhang, Shiyu Chang |
| 2025 | EMNLP | Augment before You Try: Knowledge-Enhanced Table Question Answering via Table Expansion. | Yujian Liu, Jiabao Ji, Tong Yu, Ryan A. Rossi, Sungchul Kim, Handong Zhao, Ritwik Sinha, Yang Zhang, Shiyu Chang |
| 2025 | ICISSP | EK-Means: Towards Making Ensemble K-Means Work for Image-Based Data Analysis Without Prior Knowledge of K. | Danping Niu, Yuan Ping, Yujian Liu, Fanxi Wei, Wenhong Wu |
| 2025 | ICLR | Fictitious Synthetic Data Can Improve LLM Factuality via Prerequisite Learning. | Yujian Liu, Shiyu Chang, Tommi S. Jaakkola, Yang Zhang |
| 2025 | IJCAI | SyncAnimation: A Real-Time End-to-End Framework for Audio-Driven Human Pose and Talking Head Animation. | Yujian Liu, Shidang Xu, Jing Guo, Dingbin Wang, Zairan Wang, Xianfeng Tan, Xiaoli Liu |
| 2024 | CVPR | Correcting Diffusion Generation Through Resampling. | Yujian Liu, Yang Zhang, Tommi S. Jaakkola, Shiyu Chang |
| 2024 | EMNLP | Revisiting Who's Harry Potter: Towards Targeted Unlearning from a Causal Intervention Perspective. | Yujian Liu, Yang Zhang, Tommi S. Jaakkola, Shiyu Chang |
| 2024 | ICML | Decomposing Uncertainty for Large Language Models through Input Clarification Ensembling. | Bairu Hou, Yujian Liu, Kaizhi Qian, Jacob Andreas, Shiyu Chang, Yang Zhang |
| 2023 | CVPR | Uncovering the Disentanglement Capability in Text-to-Image Diffusion Models. | Qiucheng Wu, Yujian Liu, Handong Zhao, Ajinkya Kale, Trung Bui, Tong Yu, Zhe Lin, Yang Zhang, Shiyu Chang |
| 2023 | EMNLP | All Things Considered: Detecting Partisan Events from News Media with Cross-Article Comparison. | Yujian Liu, Xinliang Frederick Zhang, Kaijian Zou, Ruihong Huang, Nicholas Beauchamp, Lu Wang |
| 2023 | ICCV | Harnessing the Spatial-Temporal Attention of Diffusion Models for High-Fidelity Text-to-Image Synthesis. | Qiucheng Wu, Yujian Liu, Handong Zhao, Trung Bui, Zhe Lin, Yang Zhang, Shiyu Chang |
| 2023 | ICWSM | Improving Mental Health Classifier Generalization with Pre-diagnosis Data. | Yujian Liu, Laura Biester, Rada Mihalcea |
| 2022 | NAACL | POLITICS: Pretraining with Same-story Article Comparison for Ideology Prediction and Stance Detection. | Yujian Liu, Xinliang Frederick Zhang, David Wegsman, Nicholas Beauchamp, Lu Wang |
| 2021 | ICIG | CD Loss: A Class-Center Based Distribution Loss for Discriminative Feature Learning in Medical Image Classification. | Yanhong Zhou, Jie Du, Yujian Liu, Yali Qiu, Tianfu Wang |