Yang, Peng

27 publications

AAAI 2025 Expensive Multi-Objective Bayesian Optimization Based on Diffusion Models Bingdong Li, Zixiang Di, Yongfan Lu, Hong Qian, Feng Wang, Peng Yang, Ke Tang, Aimin Zhou

AAAI 2023 Defending Backdoor Attacks on Vision Transformer via Patch Processing Khoa D. Doan, Yingjie Lao, Peng Yang, Ping Li

NeurIPSW 2023 Diversity from Human Feedback Ren-Jian Wang, Ke Xue, Yutong Wang, Peng Yang, Haobo Fu, Qiang Fu, Chao Qian

CVPR 2023 Global and Local Mixture Consistency Cumulative Learning for Long-Tailed Visual Recognitions Fei Du, Peng Yang, Qi Jia, Fengtao Nan, Xiaoting Chen, Yun Yang

WACV 2022 Calibrating CNNs for Few-Shot Meta Learning Peng Yang, Shaogang Ren, Yang Zhao, Ping Li

AAAI 2022 DeepAuth: A DNN Authentication Framework by Model-Unique and Fragile Signature Embedding Yingjie Lao, Weijie Zhao, Peng Yang, Ping Li

ECCVW 2022 MIPI 2022 Challenge on RGB+ToF Depth Completion: Dataset and Report Wenxiu Sun, Qingpeng Zhu, Chongyi Li, Ruicheng Feng, Shangchen Zhou, Jun Jiang, Qingyu Yang, Chen Change Loy, Jinwei Gu, Dewang Hou, Kai Zhao, Liying Lu, Yu Li, Huaijia Lin, Ruizheng Wu, Jiangbo Lu, Jiaya Jia, Qiang Liu, Haosong Yue, Danyang Cao, Lehang Yu, Jiaxuan Quan, Jixiang Liang, Yufei Wang, Yuchao Dai, Peng Yang, Hu Yan, Houbiao Liu, Siyuan Su, Xuanhe Li, Rui Ren, Yunlong Liu, Yufan Zhu, Dong Lao, Alex Wong, Katie Chang

CVPR 2022 One Loss for Quantization: Deep Hashing with Discrete Wasserstein Distributional Matching Khoa D. Doan, Peng Yang, Ping Li

ECCV 2022 TransVLAD: Focusing on Locally Aggregated Descriptors for Few-Shot Learning Haoquan Li, Laoming Zhang, Daoan Zhang, Lang Fu, Peng Yang, Jianguo Zhang

NeurIPS 2021 Mitigating Forgetting in Online Continual Learning with Neuron Calibration Haiyan Yin, Peng Yang, Ping Li

ICCV 2021 Robust Watermarking for Deep Neural Networks via Bi-Level Optimization Peng Yang, Yingjie Lao, Ping Li

AISTATS 2020 Adaptive Online Kernel Sampling for Vertex Classification Peng Yang, Ping Li

AAAI 2020 Distributed Primal-Dual Optimization for Online Multi-Task Learning Peng Yang, Ping Li

AAAI 2019 Approximate Kernel Selection with Strong Approximate Consistency Lizhong Ding, Yong Liu, Shizhong Liao, Yu Li, Peng Yang, Yijie Pan, Chao Huang, Ling Shao, Xin Gao

AAAI 2019 Confidence Weighted Multitask Learning Peng Yang, Peilin Zhao, Jiayu Zhou, Xin Gao

AAAI 2019 Linear Kernel Tests via Empirical Likelihood for High-Dimensional Data Lizhong Ding, Zhi Liu, Yu Li, Shizhong Liao, Yong Liu, Peng Yang, Ge Yu, Ling Shao, Xin Gao

NeurIPS 2019 Optimal Stochastic and Online Learning with Individual Iterates Yunwen Lei, Peng Yang, Ke Tang, Ding-Xuan Zhou

IJCAI 2018 Bandit Online Learning on Graphs via Adaptive Optimization Peng Yang, Peilin Zhao, Xin Gao

AAAI 2018 Randomized Kernel Selection with Spectra of Multilevel Circulant Matrices Lizhong Ding, Shizhong Liao, Yong Liu, Peng Yang, Xin Gao

AAAI 2017 Incorporating Expert Knowledge into Keyphrase Extraction Sujatha Das Gollapalli, Xiaoli Li, Peng Yang

UAI 2016 Efficient Multi-Class Selective Sampling on Graphs Peng Yang, Peilin Zhao, Zhen Hai, Wei Liu, Steven C. H. Hoi, Xiaoli Li

CVPR 2012 Learning Active Facial Patches for Expression Analysis Lin Zhong, Qingshan Liu, Peng Yang, Bo Liu, Junzhou Huang, Dimitris N. Metaxas

CVPR 2010 Exploring Facial Expressions with Compositional Features Peng Yang, Qingshan Liu, Dimitris N. Metaxas

ICCV 2009 RankBoost with L1 Regularization for Facial Expression Recognition and Intensity Estimation Peng Yang, Qingshan Liu, Dimitris N. Metaxas

CVPR 2008 Facial Expression Recognition Using Encoded Dynamic Features Peng Yang, Qingshan Liu, Xinyi Cui, Dimitris N. Metaxas

ECCV 2008 Similarity Features for Facial Event Analysis Peng Yang, Qingshan Liu, Dimitris N. Metaxas

CVPR 2007 Boosting Coded Dynamic Features for Facial Action Units and Facial Expression Recognition Peng Yang, Qingshan Liu, Dimitris N. Metaxas