Liu, Yuchen

37 publications

NeurIPS 2025 ChromFound: Towards a Universal Foundation Model for Single-Cell Chromatin Accessibiltiy Data Yifeng Jiao, Yuchen Liu, Yu Zhang, Xin Guo, Yushuai Wu, Chen Jiang, Jiyang Li, Hongwei Zhang, Limei Han, Xin Gao, Yuan Qi, Yuan Cheng

ICCV 2025 DOLLAR: Few-Step Video Generation via Distillation and Latent Reward Optimization Zihan Ding, Chi Jin, Difan Liu, Haitian Zheng, Krishna Kumar Singh, Qiang Zhang, Yan Kang, Zhe Lin, Yuchen Liu

AAAI 2025 Exploit Gradient Skewness to Circumvent Byzantine Defenses for Federated Learning Yuchen Liu, Chen Chen, Lingjuan Lyu, Yaochu Jin, Gang Chen

NeurIPS 2025 Face-Human-Bench: A Comprehensive Benchmark of Face and Human Understanding for Multi-Modal Assistants Lixiong Qin, Shilong Ou, Miaoxuan Zhang, Jiangning Wei, Yuhang Zhang, Xiaoshuai Song, Yuchen Liu, Mei Wang, Weiran Xu

ICCV 2025 Generating, Fast and Slow: Scalable Parallel Video Generation with Video Interface Networks Bhishma Dedhia, David Bourgin, Krishna Kumar Singh, Yuheng Li, Yan Kang, Zhan Xu, Niraj K. Jha, Yuchen Liu

ICCV 2025 METEOR: Multi-Encoder Collaborative Token Pruning for Efficient Vision Language Models Yuchen Liu, Yaoming Wang, Bowen Shi, Xiaopeng Zhang, Wenrui Dai, Chenglin Li, Hongkai Xiong, Qi Tian

ICCV 2025 Personalized Federated Learning Under Local Supervision Qiqi Liu, Jiaqiang Li, Yuchen Liu, Yaochu Jin, Lingjuan Lyu, Xiaohu Wu, Han Yu

ICCV 2025 SegAnyPET: Universal Promptable Segmentation from Positron Emission Tomography Images Yichi Zhang, Le Xue, Wenbo Zhang, Lanlan Li, Yuchen Liu, Chen Jiang, Yuan Cheng, Yuan Qi

ICCV 2025 X-Fusion: Introducing New Modality to Frozen Large Language Models Sicheng Mo, Thao Nguyen, Xun Huang, Siddharth Srinivasan Iyer, Yijun Li, Yuchen Liu, Abhishek Tandon, Eli Shechtman, Krishna Kumar Singh, Yong Jae Lee, Bolei Zhou, Yuheng Li

CVPR 2024 Attention-Driven Training-Free Efficiency Enhancement of Diffusion Models Hongjie Wang, Difan Liu, Yan Kang, Yijun Li, Zhe Lin, Niraj K. Jha, Yuchen Liu

ICLR 2024 Detecting, Explaining, and Mitigating Memorization in Diffusion Models Yuxin Wen, Yuchen Liu, Chen Chen, Lingjuan Lyu

ECCV 2024 DomainFusion: Generalizing to Unseen Domains with Latent Diffusion Models Yuyang Huang, Yabo Chen, Yuchen Liu, Xiaopeng Zhang, Wenrui Dai, Hongkai Xiong, Qi Tian

NeurIPS 2024 F-OAL: Forward-Only Online Analytic Learning with Fast Training and Low Memory Footprint in Class Incremental Learning Huiping Zhuang, Yuchen Liu, Run He, Kai Tong, Ziqian Zeng, Cen Chen, Yi Wang, Lap-Pui Chau

NeurIPS 2024 FlexMol: A Flexible Toolkit for Benchmarking Molecular Relational Learning Sizhe Liu, Jun Xia, Lecheng Zhang, Yuchen Liu, Yue Liu, Wenjie Du, Zhangyang Gao, Bozhen Hu, Cheng Tan, Hongxin Xiang, Stan Z. Li

NeurIPS 2024 MC-DiT: Contextual Enhancement via Clean-to-Clean Reconstruction for Masked Diffusion Models Guanghao Zheng, Yuchen Liu, Wenrui Dai, Chenglin Li, Junni Zou, Hongkai Xiong

ECCV 2024 Mixture of Efficient Diffusion Experts Through Automatic Interval and Sub-Network Selection Alireza Ganjdanesh, Yan Kang, Yuchen Liu, Richard Zhang, Zhe Lin, Heng Huang

CVPR 2024 Personalized Residuals for Concept-Driven Text-to-Image Generation Cusuh Ham, Matthew Fisher, James Hays, Nicholas Kolkin, Yuchen Liu, Richard Zhang, Tobias Hinz

CVPR 2024 SNED: Superposition Network Architecture Search for Efficient Video Diffusion Model Zhengang Li, Yan Kang, Yuchen Liu, Difan Liu, Tobias Hinz, Feng Liu, Yanzhi Wang

ECCV 2024 Towards Unified Representation of Invariant-Specific Features in Missing Modality Face Anti-Spoofing Guanghao Zheng, Yuchen Liu, Wenrui Dai, Chenglin Li, Junni Zou, Hongkai Xiong

CVPR 2023 Adapting Shortcut with Normalizing Flow: An Efficient Tuning Framework for Visual Recognition Yaoming Wang, Bowen Shi, Xiaopeng Zhang, Jin Li, Yuchen Liu, Wenrui Dai, Chenglin Li, Hongkai Xiong, Qi Tian

ICLR 2023 BSTT: A Bayesian Spatial-Temporal Transformer for Sleep Staging Yuchen Liu, Ziyu Jia

ICML 2023 Byzantine-Robust Learning on Heterogeneous Data via Gradient Splitting Yuchen Liu, Chen Chen, Lingjuan Lyu, Fangzhao Wu, Sai Wu, Gang Chen

CVPRW 2023 EVAEF: Ensemble Valence-Arousal Estimation Framework in the Wild Xiaolong Liu, Lei Sun, Wenqiang Jiang, Fengyuan Zhang, Yuanyuan Deng, Zhaopei Huang, Liyu Meng, Yuchen Liu, Chuanhe Liu

CVPRW 2023 Facial Expression Recognition Based on Multi-Modal Features for Videos in the Wild Chuanhe Liu, Xinjie Zhang, Xiaolong Liu, Tenggan Zhang, Liyu Meng, Yuchen Liu, Yuanyuan Deng, Wenqiang Jiang

AAAI 2023 Improving Training and Inference of Face Recognition Models via Random Temperature Scaling Lei Shang, Mouxiao Huang, Wu Shi, Yuchen Liu, Yang Liu, Wang Steven, Baigui Sun, Xuansong Xie, Yu Qiao

CVPR 2023 Promoting Semantic Connectivity: Dual Nearest Neighbors Contrastive Learning for Unsupervised Domain Generalization Yuchen Liu, Yaoming Wang, Yabo Chen, Wenrui Dai, Chenglin Li, Junni Zou, Hongkai Xiong

ICCV 2023 Towards Unsupervised Domain Generalization for Face Anti-Spoofing Yuchen Liu, Yabo Chen, Mengran Gou, Chun-Ting Huang, Yaoming Wang, Wenrui Dai, Hongkai Xiong

ECCV 2022 3D-FM GAN: Towards 3D-Controllable Face Manipulation Yuchen Liu, Zhixin Shu, Yijun Li, Zhe Lin, Richard Zhang, S.Y. Kung

NeurIPS 2022 CalFAT: Calibrated Federated Adversarial Training with Label Skewness Chen Chen, Yuchen Liu, Xingjun Ma, Lingjuan Lyu

ECCVW 2022 Multi-Task Learning Framework for Emotion Recognition In-the-Wild Tenggan Zhang, Chuanhe Liu, Xiaolong Liu, Yuchen Liu, Liyu Meng, Lei Sun, Wenqiang Jiang, Fengyuan Zhang, Jinming Zhao, Qin Jin

ECCV 2022 SdAE: Self-Distillated Masked Autoencoder Yabo Chen, Yuchen Liu, Dongsheng Jiang, Xiaopeng Zhang, Wenrui Dai, Hongkai Xiong, Qi Tian

ECCV 2022 Source-Free Domain Adaptation with Contrastive Domain Alignment and Self-Supervised Exploration for Face Anti-Spoofing Yuchen Liu, Yabo Chen, Wenrui Dai, Mengran Gou, Chun-Ting Huang, Hongkai Xiong

CVPRW 2022 Valence and Arousal Estimation Based on Multimodal Temporal-Aware Features for Videos in the Wild Liyu Meng, Yuchen Liu, Xiaolong Liu, Zhaopei Huang, Wenqiang Jiang, Tenggan Zhang, Chuanhe Liu, Qin Jin

CVPR 2021 Content-Aware GAN Compression Yuchen Liu, Zhixin Shu, Yijun Li, Zhe Lin, Federico Perazzi, Sun-Yuan Kung

ICCV 2021 Learning Latent Architectural Distribution in Differentiable Neural Architecture Search via Variational Information Maximization Yaoming Wang, Yuchen Liu, Wenrui Dai, Chenglin Li, Junni Zou, Hongkai Xiong

CVPRW 2020 Intelligent Scene Caching to Improve Accuracy for Energy-Constrained Embedded Vision Benjamin Simpson, Ekdeep Singh Lubana, Yuchen Liu, Robert P. Dick

AAAI 2020 Synchronous Speech Recognition and Speech-to-Text Translation with Interactive Decoding Yuchen Liu, Jiajun Zhang, Hao Xiong, Long Zhou, Zhongjun He, Hua Wu, Haifeng Wang, Chengqing Zong