Jiaxiang Wu

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 20

Top Topics

Error Compensation

Top Venues

IEEE Trans. Neural Networks Learn. Syst.

Publications

Shibo Feng, Chunyan Miao, Ke Xu, Jiaxiang Wu, Pengcheng Wu, Yang Zhang, Peilin Zhao
Multi-Scale Attention Flow for Probabilistic Time Series Forecasting. IEEE Trans. Knowl. Data Eng. 36 (5) (2024)
Huaijin Wu, Wei Liu, Yatao Bian, Jiaxiang Wu, Nianzu Yang, Junchi Yan
EBMDock: Neural Probabilistic Protein-Protein Docking via a Differentiable Energy Model. ICLR (2024)
Mingkui Tan, Guohao Chen, Jiaxiang Wu, Yifan Zhang, Yaofo Chen, Peilin Zhao, Shuaicheng Niu
Uncertainty-Calibrated Test-Time Model Adaptation without Forgetting. CoRR (2024)
Nianzu Yang, Kaipeng Zeng, Haotian Lu, Yexin Wu, Zexin Yuan, Danni Chen, Shengdian Jiang, Jiaxiang Wu, Yimin Wang, Junchi Yan
MorphGrower: A Synchronized Layer-by-layer Growing Approach for Plausible Neuronal Morphology Generation. CoRR (2024)
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
DrugOOD: Out-of-Distribution Dataset Curator and Benchmark for AI-Aided Drug Discovery - a Focus on Affinity Prediction Problems with Noise Annotations. AAAI (2023)
Zhihang Yuan, Lin Niu, Jiawei Liu, Wenyu Liu, Xinggang Wang, Yuzhang Shang, Guangyu Sun, Qiang Wu, Jiaxiang Wu, Bingzhe Wu
RPTQ: Reorder-based Post-training Quantization for Large Language Models. CoRR (2023)
Tao Yang, Tianyuan Shi, Fanqi Wan, Xiaojun Quan, Qifan Wang, Bingzhe Wu, Jiaxiang Wu
PsyCoT: Psychological Questionnaire as Powerful Chain-of-Thought for Personality Detection. CoRR (2023)
Zhihang Yuan, Jiawei Liu, Jiaxiang Wu, Dawei Yang, Qiang Wu, Guangyu Sun, Wenyu Liu, Xinggang Wang, Bingzhe Wu
Benchmarking the Reliability of Post-training Quantization: a Particular Focus on Worst-case Performance. CoRR (2023)
Yuxi Mi, Yuge Huang, Jiazhen Ji, Minyi Zhao, Jiaxiang Wu, Xingkun Xu, Shouhong Ding, Shuigeng Zhou
Privacy-Preserving Face Recognition Using Random Frequency Components. ICCV (2023)
Fan Yi, Jiaxiang Wu, Minyi Zhao, Shuigeng Zhou
Anime Character Identification and Tag Prediction by Multimodality Modeling: Dataset and Model. IJCNN (2023)
Tao Yang, Tianyuan Shi, Fanqi Wan, Xiaojun Quan, Qifan Wang, Bingzhe Wu, Jiaxiang Wu
PsyCoT: Psychological Questionnaire as Powerful Chain-of-Thought for Personality Detection. EMNLP (Findings) (2023)
Shuaicheng Niu, Jiaxiang Wu, Yifan Zhang, Zhiquan Wen, Yaofo Chen, Peilin Zhao, Mingkui Tan
Towards Stable Test-Time Adaptation in Dynamic Wild World. CoRR (2023)
Shuaicheng Niu, Jiaxiang Wu, Yifan Zhang, Zhiquan Wen, Yaofo Chen, Peilin Zhao, Mingkui Tan
Towards Stable Test-time Adaptation in Dynamic Wild World. ICLR (2023)
Yatao Bian, Yu Rong, Tingyang Xu, Jiaxiang Wu, Andreas Krause, Junzhou Huang
Energy-Based Learning for Cooperative Games, with Applications to Valuation Problems in Machine Learning. ICLR (2022)
Hanyu Peng, Jiaxiang Wu, Zhiwei Zhang, Shifeng Chen, Hai-Tao Zhang
Deep Network Quantization via Error Compensation. IEEE Trans. Neural Networks Learn. Syst. 33 (9) (2022)
Peng Han, Peilin Zhao, Chan Lu, Junzhou Huang, Jiaxiang Wu, Shuo Shang, Bin Yao, Xiangliang Zhang
GNN-Retro: Retrosynthetic Planning with Graph Neural Networks. AAAI (2022)
Yuzhi Guo, Jiaxiang Wu, Hehuan Ma, Junzhou Huang
Self-Supervised Pre-training for Protein Embeddings Using Tertiary Structures. AAAI (2022)
Shuaicheng Niu, Jiaxiang Wu, Yifan Zhang, Guanghui Xu, Haokun Li, Peilin Zhao, Junzhou Huang, Yaowei Wang, Mingkui Tan
Boost Test-Time Performance with Closed-Loop Inference. CoRR (2022)
Shuaicheng Niu, Jiaxiang Wu, Yifan Zhang, Yaofo Chen, Shijian Zheng, Peilin Zhao, Mingkui Tan
Efficient Test-Time Model Adaptation without Forgetting. CoRR (2022)
Shuaicheng Niu, Jiaxiang Wu, Yifan Zhang, Yaofo Chen, Shijian Zheng, Peilin Zhao, Mingkui Tan
Efficient Test-Time Model Adaptation without Forgetting. ICML (2022)