Wu, Jiaxiang

30 publications

ICLR 2025 IgGM: A Generative Model for Functional Antibody and Nanobody Design Rubo Wang, Fandi Wu, Xingyu Gao, Jiaxiang Wu, Peilin Zhao, Jianhua Yao

ICLR 2024 EBMDock: Neural Probabilistic Protein-Protein Docking via a Differentiable Energy Model Huaijin Wu, Wei Liu, Yatao Bian, Jiaxiang Wu, Nianzu Yang, Junchi Yan

ICML 2024 MorphGrower: A Synchronized Layer-by-Layer Growing Approach for Plausible Neuronal Morphology Generation Nianzu Yang, Kaipeng Zeng, Haotian Lu, Yexin Wu, Zexin Yuan, Danni Chen, Shengdian Jiang, Jiaxiang Wu, Yimin Wang, Junchi Yan

ICMLW 2023 Benchmarking the Reliability of Post-Training Quantization: A Particular Focus on Worst-Case Performance Zhihang Yuan, Jiawei Liu, Jiaxiang Wu, Dawei Yang, Qiang Wu, Guangyu Sun, Wenyu Liu, Xinggang Wang, Bingzhe Wu

AAAI 2023 DrugOOD: Out-of-Distribution Dataset Curator and Benchmark for AI-Aided Drug Discovery - A Focus on Affinity Prediction Problems with Noise Annotations Yuanfeng Ji, Lu Zhang, Jiaxiang Wu, Bingzhe Wu, Lanqing Li, Long-Kai Huang, Tingyang Xu, Yu Rong, Jie Ren, Ding Xue, Houtim Lai, Wei Liu, Junzhou Huang, Shuigeng Zhou, Ping Luo, Peilin Zhao, Yatao Bian

ICCV 2023 Privacy-Preserving Face Recognition Using Random Frequency Components Yuxi Mi, Yuge Huang, Jiazhen Ji, Minyi Zhao, Jiaxiang Wu, Xingkun Xu, Shouhong Ding, Shuigeng Zhou

CVPR 2023 Probabilistic Knowledge Distillation of Face Ensembles Jianqing Xu, Shen Li, Ailin Deng, Miao Xiong, Jiaying Wu, Jiaxiang Wu, Shouhong Ding, Bryan Hooi

ICLR 2023 Towards Stable Test-Time Adaptation in Dynamic Wild World Shuaicheng Niu, Jiaxiang Wu, Yifan Zhang, Zhiquan Wen, Yaofo Chen, Peilin Zhao, Mingkui Tan

ICML 2022 Efficient Test-Time Model Adaptation Without Forgetting Shuaicheng Niu, Jiaxiang Wu, Yifan Zhang, Yaofo Chen, Shijian Zheng, Peilin Zhao, Mingkui Tan

ICLR 2022 Energy-Based Learning for Cooperative Games, with Applications to Valuation Problems in Machine Learning Yatao Bian, Yu Rong, Tingyang Xu, Jiaxiang Wu, Andreas Krause, Junzhou Huang

CVPR 2022 Evaluation-Oriented Knowledge Distillation for Deep Face Recognition Yuge Huang, Jiaxiang Wu, Xingkun Xu, Shouhong Ding

AAAI 2022 GNN-Retro: Retrosynthetic Planning with Graph Neural Networks Peng Han, Peilin Zhao, Chan Lu, Junzhou Huang, Jiaxiang Wu, Shuo Shang, Bin Yao, Xiangliang Zhang

ECCV 2022 Privacy-Preserving Face Recognition with Learnable Privacy Budgets in Frequency Domain Jiazhen Ji, Huan Wang, Yuge Huang, Jiaxiang Wu, Xingkun Xu, Shouhong Ding, ShengChuan Zhang, Liujuan Cao, Rongrong Ji

AAAI 2022 Self-Supervised Pre-Training for Protein Embeddings Using Tertiary Structures Yuzhi Guo, Jiaxiang Wu, Hehuan Ma, Junzhou Huang

ICML 2021 AdaXpert: Adapting Neural Architecture for Growing Data Shuaicheng Niu, Jiaxiang Wu, Guanghui Xu, Yifan Zhang, Yong Guo, Peilin Zhao, Peng Wang, Mingkui Tan

AAAI 2021 PSSM-Distil: Protein Secondary Structure Prediction (PSSP) on Low-Quality PSSM by Knowledge Distillation with Contrastive Learning Qin Wang, Boyuan Wang, Zhenlei Xu, Jiaxiang Wu, Peilin Zhao, Zhen Li, Sheng Wang, Junzhou Huang, Shuguang Cui

AAAI 2020 Few Shot Network Compression via Cross Distillation Haoli Bai, Jiaxiang Wu, Irwin King, Michael R. Lyu

AAAI 2020 M-NAS: Meta Neural Architecture Search Jiaxing Wang, Jiaxiang Wu, Haoli Bai, Jian Cheng

NeurIPS 2020 Revisiting Parameter Sharing for Automatic Neural Channel Number Search Jiaxing Wang, Haoli Bai, Jiaxiang Wu, Xupeng Shi, Junzhou Huang, Irwin King, Michael Lyu, Jian Cheng

AAAI 2019 An Efficient Approach to Informative Feature Extraction from Multimodal Data Lichen Wang, Jiaxiang Wu, Shao-Lun Huang, Lizhong Zheng, Xiangxiang Xu, Lin Zhang, Junzhou Huang

ICML 2019 Collaborative Channel Pruning for Deep Networks Hanyu Peng, Jiaxiang Wu, Shifeng Chen, Junzhou Huang

NeurIPS 2019 Double Quantization for Communication-Efficient Distributed Optimization Yue Yu, Jiaxiang Wu, Longbo Huang

AISTATS 2019 Exploring Fast and Communication-Efficient Algorithms in Large-Scale Distributed Networks Yue Yu, Jiaxiang Wu, Junzhou Huang

ICML 2018 Error Compensated Quantized SGD and Its Applications to Large-Scale Distributed Optimization Jiaxiang Wu, Weidong Huang, Junzhou Huang, Tong Zhang

CVPR 2016 Quantized Convolutional Neural Networks for Mobile Devices Jiaxiang Wu, Cong Leng, Yuhang Wang, Qinghao Hu, Jian Cheng

AAAI 2016 Shoot to Know What: An Application of Deep Networks on Mobile Devices Jiaxiang Wu, Qinghao Hu, Cong Leng, Jian Cheng

ICML 2015 Hashing for Distributed Data Cong Leng, Jiaxiang Wu, Jian Cheng, Xi Zhang, Hanqing Lu

CVPR 2015 Online Sketching Hashing Cong Leng, Jiaxiang Wu, Jian Cheng, Xiao Bai, Hanqing Lu

JMLR 2014 Bayesian Co-Boosting for Multi-Modal Gesture Recognition Jiaxiang Wu, Jian Cheng

CVPR 2014 Fast and Accurate Image Matching with Cascade Hashing for 3D Reconstruction Jian Cheng, Cong Leng, Jiaxiang Wu, Hainan Cui, Hanqing Lu