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Quantized Adaptive Subgradient Algorithms and Their Applications


Aug 11, 2022
Ke Xu, Jianqiao Wangni, Yifan Zhang, Deheng Ye, Jiaxiang Wu, Peilin Zhao


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Privacy-Preserving Face Recognition with Learnable Privacy Budgets in Frequency Domain


Jul 19, 2022
Jiazhen Ji, Huan Wang, Yuge Huang, Jiaxiang Wu, Xingkun Xu, Shouhong Ding, ShengChuan Zhang, Liujuan Cao, Rongrong Ji

* ECCV 2022; Code is available at https://github.com/Tencent/TFace/tree/master/recognition/tasks/dctdp 

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Evaluation-oriented Knowledge Distillation for Deep Face Recognition


Jun 06, 2022
Yuge Huang, Jiaxiang Wu, Xingkun Xu, Shouhong Ding

* CVPR2022 Oral 

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Multi-scale Attention Flow for Probabilistic Time Series Forecasting


May 16, 2022
Shibo Feng, Ke Xu, Jiaxiang Wu, Pengcheng Wu, Fan Lin, Peilin Zhao


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Efficient Test-Time Model Adaptation without Forgetting


Apr 06, 2022
Shuaicheng Niu, Jiaxiang Wu, Yifan Zhang, Yaofo Chen, Shijian Zheng, Peilin Zhao, Mingkui Tan

* 15 pages, conference 

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Boost Test-Time Performance with Closed-Loop Inference


Mar 26, 2022
Shuaicheng Niu, Jiaxiang Wu, Yifan Zhang, Guanghui Xu, Haokun Li, Peilin Zhao, Junzhou Huang, Yaowei Wang, Mingkui Tan

* 10 pages, 10 figures, conference 

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DrugOOD: Out-of-Distribution (OOD) Dataset Curator and Benchmark for AI-aided Drug Discovery -- A Focus on Affinity Prediction Problems with Noise Annotations


Jan 24, 2022
Yuanfeng Ji, Lu Zhang, Jiaxiang Wu, Bingzhe Wu, Long-Kai Huang, Tingyang Xu, Yu Rong, Lanqing Li, Jie Ren, Ding Xue, Houtim Lai, Shaoyong Xu, Jing Feng, Wei Liu, Ping Luo, Shuigeng Zhou, Junzhou Huang, Peilin Zhao, Yatao Bian

* 54 pages, 11 figures 

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AdaXpert: Adapting Neural Architecture for Growing Data


Jul 01, 2021
Shuaicheng Niu, Jiaxiang Wu, Guanghui Xu, Yifan Zhang, Yong Guo, Peilin Zhao, Peng Wang, Mingkui Tan

* accepted by ICML 2021 

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Energy-Based Learning for Cooperative Games, with Applications to Feature/Data/Model Valuations


Jun 05, 2021
Yatao Bian, Yu Rong, Tingyang Xu, Jiaxiang Wu, Andreas Krause, Junzhou Huang


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