Liang, Yuchen

14 publications

NeurIPS 2025 Absorb and Converge: Provable Convergence Guarantee for Absorbing Discrete Diffusion Models Yuchen Liang, Renxiang Huang, Lifeng Lai, Ness Shroff, Yingbin Liang
ICLR 2025 Broadening Target Distributions for Accelerated Diffusion Models via a Novel Analysis Approach Yuchen Liang, Peizhong Ju, Yingbin Liang, Ness Shroff
CVPR 2025 DiC: Rethinking Conv3x3 Designs in Diffusion Models Yuchuan Tian, Jing Han, Chengcheng Wang, Yuchen Liang, Chao Xu, Hanting Chen
NeurIPS 2025 Discrete Diffusion Models: Novel Analysis and New Sampler Guarantees Yuchen Liang, Yingbin Liang, Lifeng Lai, Ness Shroff
ICLR 2025 Linear Multistep Solver Distillation for Fast Sampling of Diffusion Models Yuchen Liang, Xiangzhong Fang, Hanting Chen, Yunhe Wang
ICLR 2025 Theory on Score-Mismatched Diffusion Models and Zero-Shot Conditional Samplers Yuchen Liang, Peizhong Ju, Yingbin Liang, Ness Shroff
NeurIPS 2025 U-REPA: Aligning Diffusion U-Nets to ViTs Yuchuan Tian, Hanting Chen, Mengyu Zheng, Yuchen Liang, Chao Xu, Yunhe Wang
AAAI 2025 VidEvent: A Large Dataset for Understanding Dynamic Evolution of Events in Videos Baoyu Liang, Qile Su, Shoutai Zhu, Yuchen Liang, Chao Tong
AISTATS 2024 Distributionally Robust Quickest Change Detection Using Wasserstein Uncertainty Sets Liyan Xie, Yuchen Liang, Venugopal V. Veeravalli
ECCV 2024 Learning Quantized Adaptive Conditions for Diffusion Models Yuchen Liang, Yuchuan Tian, Lei Yu, Huaao Tang, Jie Hu, Xiangzhong Fang, Hanting Chen
NeurIPS 2023 Energy Transformer Benjamin Hoover, Yuchen Liang, Bao Pham, Rameswar Panda, Hendrik Strobelt, Duen Horng Chau, Mohammed Zaki, Dmitry Krotov
NeurIPSW 2023 Energy Transformer Benjamin Hoover, Yuchen Liang, Bao Pham, Rameswar Panda, Hendrik Strobelt, Duen Horng Chau, Mohammed J Zaki, Dmitry Krotov
ICLR 2021 Can a Fruit Fly Learn Word Embeddings? Yuchen Liang, Chaitanya Ryali, Benjamin Hoover, Leopold Grinberg, Saket Navlakha, Mohammed J Zaki, Dmitry Krotov
ECCV 2018 YouTube-VOS: Sequence-to-Sequence Video Object Segmentation Ning Xu, Linjie Yang, Yuchen Fan, Jianchao Yang, Dingcheng Yue, Yuchen Liang, Brian Price, Scott Cohen, Thomas Huang