| 2025 | AAAI | VidEvent: A Large Dataset for Understanding Dynamic Evolution of Events in Videos. | Baoyu Liang, Qile Su, Shoutai Zhu, Yuchen Liang, Chao Tong |
| 2025 | CVPR | DiC: Rethinking Conv3x3 Designs in Diffusion Models. | Yuchuan Tian, Jing Han, Chengcheng Wang, Yuchen Liang, Chao Xu, Hanting Chen |
| 2025 | ICLR | Linear Multistep Solver Distillation for Fast Sampling of Diffusion Models. | Yuchen Liang, Xiangzhong Fang, Hanting Chen, Yunhe Wang |
| 2025 | ICLR | Broadening Target Distributions for Accelerated Diffusion Models via a Novel Analysis Approach. | Yuchen Liang, Peizhong Ju, Yingbin Liang, Ness B. Shroff |
| 2025 | ICLR | Theory on Score-Mismatched Diffusion Models and Zero-Shot Conditional Samplers. | Yuchen Liang, Peizhong Ju, Yingbin Liang, Ness B. Shroff |
| 2024 | AISTATS | Distributionally Robust Quickest Change Detection using Wasserstein Uncertainty Sets. | Liyan Xie, Yuchen Liang, Venugopal V. Veeravalli |
| 2024 | ECCV | Learning Quantized Adaptive Conditions for Diffusion Models. | Yuchen Liang, Yuchan Tian, Lei Yu, Huaao Tang, Jie Hu, Xiangzhong Fang, Hanting Chen |
| 2024 | FUSION | On Network Quickest Change Detection with Uncertain Models: An Experimental Study. | James Zachary Hare, Yuchen Liang, Lance M. Kaplan, Venugopal V. Veeravalli |
| 2024 | ICRA | Less is More: Physical-Enhanced Radar-Inertial Odometry. | Qiucan Huang, Yuchen Liang, Zhijian Qiao, Shaojie Shen, Huan Yin |
| 2024 | IJCNN | SPIL: Fast Imitation Learning with Single-Person Game. | Yuchen Liang |
| 2024 | IJCNN | Closed-Loop Action Repetition for Computationally-Efficient Imitation Learning. | Yuchen Liang |
| 2024 | IJCNN | Computationally Efficient Imitation Learning via K-Timestep Adaptive Action Approximation. | Yuchen Liang, Weiming Wu, Cong Wang, Yuehu Liu |
| 2023 | ICASSP | Quickest Change Detection with Leave-one-out Density Estimation. | Yuchen Liang, Venugopal V. Veeravalli |
| 2023 | ICIP | Reuse Non-Terrain Policies for Learning Terrain-Adaptive Humanoid Locomotion Skills. | Hao Yu, Yuchen Liang, Yuehu Liu, Chi Zhang |
| 2022 | ICASSP | Quickest Detection of Composite and Non-Stationary Changes with Application to Pandemic Monitoring. | Yuchen Liang, Venugopal V. Veeravalli |
| 2022 | IGARSS | Band Weight Adaptive Classification Network for Hyperspectral Image Classification. | Yuchen Liang, Guihong Chen, Jiayi Guo, Wang Yao |
| 2022 | IUI | FitNibble: A Field Study to Evaluate the Utility and Usability of Automatic Diet Monitoring in Food Journaling Using an Eyeglasses-based Wearable. | Abdelkareem Bedri, Yuchen Liang, Sudershan Boovaraghavan, Geoff Kaufman, Mayank Goel |
| 2021 | CISS | Non-Parametric Quickest Detection of a Change in the Mean of an Observation Sequence. | Yuchen Liang, Venugopal V. Veeravalli |
| 2021 | ICIP | Adaptive Frequency Hopping Policy for Fast Pose Estimation. | Yuchen Liang, Yuehu Liu |
| 2021 | ICLR | Can a Fruit Fly Learn Word Embeddings? | Yuchen Liang, Chaitanya K. Ryali, Benjamin Hoover, Leopold Grinberg, Saket Navlakha, Mohammed J. Zaki, Dmitry Krotov |
| 2021 | IGARSS | HSGACN: Hyperspectral Image Classification Algorithm Based on Graph Convolutional Network. | Yi Xiao, Siying Chen, Hao Wang, Zhengang Zhao, Tao Huang, Yuchen Liang, Jin Qin, Rong Ma, Zongyao Yin, Ruiqing Yan, Xianchuan Yu |
| 2021 | IGARSS | Sparsity Constrained Convolutional Autoencoder Network for Hyperspectral Image Unmixing. | Zhengang Zhao, Hao Wang, Yuchen Liang, Tao Huang, Yi Xiao, Xianchuan Yu |
| 2020 | IGARSS | Unbalanced Geologic Body Classification of Hyperspectral Data Based on Squeeze and Excitation Networks at Tianshan Area. | Yuchen Liang, Zhengang Zhao, Hao Wang, Ying Cao, Tao Huang, Yasmine Medjadba, Yuntao Wang, RunCheng Jiao, Siying Chen, Xianchuan Yu |
| 2018 | ECCV | YouTube-VOS: Sequence-to-Sequence Video Object Segmentation. | Ning Xu, Linjie Yang, Yuchen Fan, Jianchao Yang, Dingcheng Yue, Yuchen Liang, Brian L. Price, Scott Cohen, Thomas S. Huang |