Liang, Feng

35 publications

JMLR 2025 Extending Temperature Scaling with Homogenizing Maps Christopher Qian, Feng Liang, Jason Adams

ICCV 2025 FedPall: Prototype-Based Adversarial and Collaborative Learning for Federated Learning with Feature Drift Yong Zhang, Feng Liang, Guanghu Yuan, Min Yang, Chengming Li, Xiping Hu

ICLR 2025 Looking Backward: Streaming Video-to-Video Translation with Feature Banks Feng Liang, Akio Kodaira, Chenfeng Xu, Masayoshi Tomizuka, Kurt Keutzer, Diana Marculescu

CVPR 2025 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

AAAI 2025 Understanding Emotional Body Expressions via Large Language Models Haifeng Lu, Jiuyi Chen, Feng Liang, Mingkui Tan, Runhao Zeng, Xiping Hu

CVPR 2024 Fairy: Fast Parallelized Instruction-Guided Video-to-Video Synthesis Bichen Wu, Ching-Yao Chuang, Xiaoyan Wang, Yichen Jia, Kapil Krishnakumar, Tong Xiao, Feng Liang, Licheng Yu, Peter Vajda

CVPR 2024 FlowVid: Taming Imperfect Optical Flows for Consistent Video-to-Video Synthesis Feng Liang, Bichen Wu, Jialiang Wang, Licheng Yu, Kunpeng Li, Yinan Zhao, Ishan Misra, Jia-Bin Huang, Peizhao Zhang, Peter Vajda, Diana Marculescu

ICML 2024 Minimax Optimality of Score-Based Diffusion Models: Beyond the Density Lower Bound Assumptions Kaihong Zhang, Heqi Yin, Feng Liang, Jingbo Liu

ECCV 2024 WeConvene: Learned Image Compression with Wavelet-Domain Convolution and Entropy Model Haisheng Fu, Jie Liang, Zhenman Fang, Jingning Han, Feng Liang, Guohe Zhang

AAAI 2023 MobileTL: On-Device Transfer Learning with Inverted Residual Blocks Hung-Yueh Chiang, Natalia Frumkin, Feng Liang, Diana Marculescu

CVPR 2023 Open-Vocabulary Semantic Segmentation with Mask-Adapted CLIP Feng Liang, Bichen Wu, Xiaoliang Dai, Kunpeng Li, Yinan Zhao, Hang Zhang, Peizhao Zhang, Peter Vajda, Diana Marculescu

CVPRW 2022 ANT: Adapt Network Across Time for Efficient Video Processing Feng Liang, Ting-Wu Chin, Yang Zhou, Diana Marculescu

ICMLW 2022 Democratizing Contrastive Language-Image Pre-Training: A CLIP Benchmark of Data, Model, and Supervision Yufeng Cui, Lichen Zhao, Feng Liang, Yangguang Li, Jing Shao

IJCAI 2022 RePre: Improving Self-Supervised Vision Transformer with Reconstructive Pre-Training Luya Wang, Feng Liang, Yangguang Li, Honggang Zhang, Wanli Ouyang, Jing Shao

AutoML 2022 ScaleNAS: Multi-Path One-Shot NAS for Scale-Aware High-Resolution Representation Hsin-Pai Cheng, Feng Liang, Meng Li, Bowen Cheng, Feng Yan, Hai Li, Vikas Chandra, Yiran Chen

ICLR 2022 Supervision Exists Everywhere: A Data Efficient Contrastive Language-Image Pre-Training Paradigm Yangguang Li, Feng Liang, Lichen Zhao, Yufeng Cui, Wanli Ouyang, Jing Shao, Fengwei Yu, Junjie Yan

AAAI 2021 FedRec++: Lossless Federated Recommendation with Explicit Feedback Feng Liang, Weike Pan, Zhong Ming

JMLR 2021 GemBag: Group Estimation of Multiple Bayesian Graphical Models Xinming Yang, Lingrui Gan, Naveen N. Narisetty, Feng Liang

CVPR 2021 Inception Convolution with Efficient Dilation Search Jie Liu, Chuming Li, Feng Liang, Chen Lin, Ming Sun, Junjie Yan, Wanli Ouyang, Dong Xu

AAAI 2021 NASGEM: Neural Architecture Search via Graph Embedding Method Hsin-Pai Cheng, Tunhou Zhang, Yixing Zhang, Shiyu Li, Feng Liang, Feng Yan, Meng Li, Vikas Chandra, Hai Li, Yiran Chen

ICCV 2021 Once Quantization-Aware Training: High Performance Extremely Low-Bit Architecture Search Mingzhu Shen, Feng Liang, Ruihao Gong, Yuhang Li, Chuming Li, Chen Lin, Fengwei Yu, Junjie Yan, Wanli Ouyang

AAAI 2021 Reinforcement Learning-Based Product Delivery Frequency Control Yang Liu, Zhengxing Chen, Kittipat Virochsiri, Juan Wang, Jiahao Wu, Feng Liang

ICLR 2020 Computation Reallocation for Object Detection Feng Liang, Chen Lin, Ronghao Guo, Ming Sun, Wei Wu, Junjie Yan, Wanli Ouyang

NeurIPS 2019 Bayesian Joint Estimation of Multiple Graphical Models Lingrui Gan, Xinming Yang, Naveen Narisetty, Feng Liang

NeurIPS 2014 On a Theory of Nonparametric Pairwise Similarity for Clustering: Connecting Clustering to Classification Yingzhen Yang, Feng Liang, Shuicheng Yan, Zhangyang Wang, Thomas S. Huang

NeurIPS 2014 PAC-Bayesian AUC Classification and Scoring James Ridgway, Pierre Alquier, Nicolas Chopin, Feng Liang

CVPR 2013 Learning Locally-Adaptive Decision Functions for Person Verification Zhen Li, Shiyu Chang, Feng Liang, Thomas S. Huang, Liangliang Cao, John R. Smith

AAAI 2012 Pairwise Exemplar Clustering Yingzhen Yang, Xinqi Chu, Feng Liang, Thomas S. Huang

AISTATS 2010 Supervised Dimension Reduction Using Bayesian Mixture Modeling Kai Mao, Feng Liang, Sayan Mukherjee

NeurIPS 2009 Graph-Based Consensus Maximization Among Multiple Supervised and Unsupervised Models Jing Gao, Feng Liang, Wei Fan, Yizhou Sun, Jiawei Han

ICCV 2009 Heterogeneous Feature Machines for Visual Recognition Liangliang Cao, Jiebo Luo, Feng Liang, Thomas S. Huang

ICCV 2009 Hierarchical Gaussianization for Image Classification Xi Zhou, Na Cui, Zhen Li, Feng Liang, Thomas S. Huang

NeurIPS 2008 Localized Sliced Inverse Regression Qiang Wu, Sayan Mukherjee, Feng Liang

JMLR 2007 Characterizing the Function Space for Bayesian Kernel Models Natesh S. Pillai, Qiang Wu, Feng Liang, Sayan Mukherjee, Robert L. Wolpert

COLT 2005 Permutation Tests for Classification Polina Golland, Feng Liang, Sayan Mukherjee, Dmitry Panchenko