Jiaxiang Wu - RankMe

70 papers A* 26A 3B 3Journal 33Unranked 4

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Adapt in the Wild: Test-Time Entropy Minimization with Sharpness and Feature Regularization. CoRR Shuaicheng Niu, Guohao Chen, Deyu Chen, Yifan Zhang, Jiaxiang Wu, Zhiquan Wen, Yaofo Chen, Peilin Zhao, Chunyan Miao, Mingkui Tan
2025	A*	`conf`	IgGM: A Generative Model for Functional Antibody and Nanobody Design. ICLR Rubo Wang, Fandi Wu, Xingyu Gao, Jiaxiang Wu, Peilin Zhao, Jianhua Yao
2025	J	`jnl`	Uncertainty-Calibrated Test-Time Model Adaptation Without Forgetting. IEEE Trans. Pattern Anal. Mach. Intell. Mingkui Tan, Guohao Chen, Jiaxiang Wu, Yifan Zhang, Yaofo Chen, Peilin Zhao, Shuaicheng Niu
2024	A*	`conf`	EBMDock: Neural Probabilistic Protein-Protein Docking via a Differentiable Energy Model. ICLR Huaijin Wu, Wei Liu, Yatao Bian, Jiaxiang Wu, Nianzu Yang, Junchi Yan
2024	A*	`conf`	MorphGrower: A Synchronized Layer-by-layer Growing Approach for Plausible Neuronal Morphology Generation. ICML Nianzu Yang, Kaipeng Zeng, Haotian Lu, Yexin Wu, Zexin Yuan, Danni Chen, Shengdian Jiang, Jiaxiang Wu, Yimin Wang, Junchi Yan
2024	J	`jnl`	MorphGrower: A Synchronized Layer-by-layer Growing Approach for Plausible Neuronal Morphology Generation. CoRR Nianzu Yang, Kaipeng Zeng, Haotian Lu, Yexin Wu, Zexin Yuan, Danni Chen, Shengdian Jiang, Jiaxiang Wu, Yimin Wang, Junchi Yan
2024	J	`jnl`	Multi-Scale Attention Flow for Probabilistic Time Series Forecasting. IEEE Trans. Knowl. Data Eng. Shibo Feng, Chunyan Miao, Ke Xu, Jiaxiang Wu, Pengcheng Wu, Yang Zhang, Peilin Zhao
2024	J	`jnl`	Uncertainty-Calibrated Test-Time Model Adaptation without Forgetting. CoRR Mingkui Tan, Guohao Chen, Jiaxiang Wu, Yifan Zhang, Yaofo Chen, Peilin Zhao, Shuaicheng Niu
2023	B	`conf`	Anime Character Identification and Tag Prediction by Multimodality Modeling: Dataset and Model. IJCNN Fan Yi, Jiaxiang Wu, Minyi Zhao, Shuigeng Zhou
2023	J	`jnl`	Benchmarking the Reliability of Post-training Quantization: a Particular Focus on Worst-case Performance. CoRR Zhihang Yuan, Jiawei Liu, Jiaxiang Wu, Dawei Yang, Qiang Wu, Guangyu Sun, Wenyu Liu, Xinggang Wang, Bingzhe Wu
2023	A*	`conf`	DrugOOD: Out-of-Distribution Dataset Curator and Benchmark for AI-Aided Drug Discovery - a Focus on Affinity Prediction Problems with Noise Annotations. AAAI 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
2023	A*	`conf`	Privacy-Preserving Face Recognition Using Random Frequency Components. ICCV Yuxi Mi, Yuge Huang, Jiazhen Ji, Minyi Zhao, Jiaxiang Wu, Xingkun Xu, Shouhong Ding, Shuigeng Zhou
2023	—	`conf`	PsyCoT: Psychological Questionnaire as Powerful Chain-of-Thought for Personality Detection. EMNLP (Findings) Tao Yang, Tianyuan Shi, Fanqi Wan, Xiaojun Quan, Qifan Wang, Bingzhe Wu, Jiaxiang Wu
2023	J	`jnl`	PsyCoT: Psychological Questionnaire as Powerful Chain-of-Thought for Personality Detection. CoRR Tao Yang, Tianyuan Shi, Fanqi Wan, Xiaojun Quan, Qifan Wang, Bingzhe Wu, Jiaxiang Wu
2023	J	`jnl`	RPTQ: Reorder-based Post-training Quantization for Large Language Models. CoRR Zhihang Yuan, Lin Niu, Jiawei Liu, Wenyu Liu, Xinggang Wang, Yuzhang Shang, Guangyu Sun, Qiang Wu, Jiaxiang Wu, Bingzhe Wu
2023	J	`jnl`	Towards Stable Test-Time Adaptation in Dynamic Wild World. CoRR Shuaicheng Niu, Jiaxiang Wu, Yifan Zhang, Zhiquan Wen, Yaofo Chen, Peilin Zhao, Mingkui Tan
2023	A*	`conf`	Towards Stable Test-time Adaptation in Dynamic Wild World. ICLR Shuaicheng Niu, Jiaxiang Wu, Yifan Zhang, Zhiquan Wen, Yaofo Chen, Peilin Zhao, Mingkui Tan
2022	J	`jnl`	Boost Test-Time Performance with Closed-Loop Inference. CoRR Shuaicheng Niu, Jiaxiang Wu, Yifan Zhang, Guanghui Xu, Haokun Li, Peilin Zhao, Junzhou Huang, Yaowei Wang, Mingkui Tan
2022	J	`jnl`	Deep Network Quantization via Error Compensation. IEEE Trans. Neural Networks Learn. Syst. Hanyu Peng, Jiaxiang Wu, Zhiwei Zhang, Shifeng Chen, Hai-Tao Zhang
2022	J	`jnl`	DrugOOD: Out-of-Distribution (OOD) Dataset Curator and Benchmark for AI-aided Drug Discovery - A Focus on Affinity Prediction Problems with Noise Annotations. CoRR 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
2022	A*	`conf`	Efficient Test-Time Model Adaptation without Forgetting. ICML Shuaicheng Niu, Jiaxiang Wu, Yifan Zhang, Yaofo Chen, Shijian Zheng, Peilin Zhao, Mingkui Tan
2022	J	`jnl`	Efficient Test-Time Model Adaptation without Forgetting. CoRR Shuaicheng Niu, Jiaxiang Wu, Yifan Zhang, Yaofo Chen, Shijian Zheng, Peilin Zhao, Mingkui Tan
2022	A*	`conf`	Energy-Based Learning for Cooperative Games, with Applications to Valuation Problems in Machine Learning. ICLR Yatao Bian, Yu Rong, Tingyang Xu, Jiaxiang Wu, Andreas Krause, Junzhou Huang
2022	A*	`conf`	GNN-Retro: Retrosynthetic Planning with Graph Neural Networks. AAAI Peng Han, Peilin Zhao, Chan Lu, Junzhou Huang, Jiaxiang Wu, Shuo Shang, Bin Yao, Xiangliang Zhang
2022	J	`jnl`	Multi-scale Attention Flow for Probabilistic Time Series Forecasting. CoRR Shibo Feng, Ke Xu, Jiaxiang Wu, Pengcheng Wu, Fan Lin, Peilin Zhao
2022	J	`jnl`	Quantized Adaptive Subgradient Algorithms and Their Applications. CoRR Ke Xu, Jianqiao Wangni, Yifan Zhang, Deheng Ye, Jiaxiang Wu, Peilin Zhao
2022	A*	`conf`	Self-Supervised Pre-training for Protein Embeddings Using Tertiary Structures. AAAI Yuzhi Guo, Jiaxiang Wu, Hehuan Ma, Junzhou Huang
2021	A*	`conf`	AdaXpert: Adapting Neural Architecture for Growing Data. ICML Shuaicheng Niu, Jiaxiang Wu, Guanghui Xu, Yifan Zhang, Yong Guo, Peilin Zhao, Peng Wang, Mingkui Tan
2021	J	`jnl`	AdaXpert: Adapting Neural Architecture for Growing Data. CoRR Shuaicheng Niu, Jiaxiang Wu, Guanghui Xu, Yifan Zhang, Yong Guo, Peilin Zhao, Peng Wang, Mingkui Tan
2021	J	`jnl`	Comprehensive Study on Enhancing Low-Quality Position-Specific Scoring Matrix with Deep Learning for Accurate Protein Structure Property Prediction: Using Bagging Multiple Sequence Alignment Learning. J. Comput. Biol. Yuzhi Guo, Jiaxiang Wu, Hehuan Ma, Sheng Wang, Junzhou Huang
2021	J	`jnl`	Disturbance-immune weight sharing for neural architecture search. Neural Networks Shuaicheng Niu, Jiaxiang Wu, Yifan Zhang, Yong Guo, Peilin Zhao, Junzhou Huang, Mingkui Tan
2021	J	`jnl`	EBM-Fold: Fully-Differentiable Protein Folding Powered by Energy-based Models. CoRR Jiaxiang Wu, Shitong Luo, Tao Shen, Haidong Lan, Sheng Wang, Junzhou Huang
2021	J	`jnl`	EPTool: A New Enhancing PSSM Tool for Protein Secondary Structure Prediction. J. Comput. Biol. Yuzhi Guo, Jiaxiang Wu, Hehuan Ma, Sheng Wang, Junzhou Huang
2021	J	`jnl`	Energy-Based Learning for Cooperative Games, with Applications to Feature/Data/Model Valuations. CoRR Yatao Bian, Yu Rong, Tingyang Xu, Jiaxiang Wu, Andreas Krause, Junzhou Huang
2021	J	`jnl`	Federated Face Recognition. CoRR Fan Bai, Jiaxiang Wu, Pengcheng Shen, Shaoxin Li, Shuigeng Zhou
2021	A*	`conf`	PSSM-Distil: Protein Secondary Structure Prediction (PSSP) on Low-Quality PSSM by Knowledge Distillation with Contrastive Learning. AAAI Qin Wang, Boyuan Wang, Zhenlei Xu, Jiaxiang Wu, Peilin Zhao, Zhen Li, Sheng Wang, Junzhou Huang, Shuguang Cui
2021	J	`jnl`	Real-Time Semantic Segmentation via Auto Depth, Downsampling Joint Decision and Feature Aggregation. Int. J. Comput. Vis. Peng Sun, Jiaxiang Wu, Songyuan Li, Peiwen Lin, Junzhou Huang, Xi Li
2021	J	`jnl`	tFold-TR: Combining Deep Learning Enhanced Hybrid Potential Energy for Template-Based Modelling Structure Refinement. CoRR Liangzhen Zheng, Haidong Lan, Tao Shen, Jiaxiang Wu, Sheng Wang, Wei Liu, Junzhou Huang
2020	B	`conf`	Bagging MSA Learning: Enhancing Low-Quality PSSM with Deep Learning for Accurate Protein Structure Property Prediction. RECOMB Yuzhi Guo, Jiaxiang Wu, Hehuan Ma, Sheng Wang, Junzhou Huang
2020	J	`jnl`	Bayesian Automatic Model Compression. IEEE J. Sel. Top. Signal Process. Jiaxing Wang, Haoli Bai, Jiaxiang Wu, Jian Cheng
2020	J	`jnl`	Disturbance-immune Weight Sharing for Neural Architecture Search. CoRR Shuaicheng Niu, Jiaxiang Wu, Yifan Zhang, Yong Guo, Peilin Zhao, Junzhou Huang, Mingkui Tan
2020	A*	`conf`	Few Shot Network Compression via Cross Distillation. AAAI Haoli Bai, Jiaxiang Wu, Irwin King, Michael R. Lyu
2020	A*	`conf`	M-NAS: Meta Neural Architecture Search. AAAI Jiaxing Wang, Jiaxiang Wu, Haoli Bai, Jian Cheng
2020	—	`conf`	Protein Ensemble Learning with Atrous Spatial Pyramid Networks for Secondary Structure Prediction. BIBM Yuzhi Guo, Jiaxiang Wu, Hehuan Ma, Sheng Wang, Junzhou Huang
2020	J	`jnl`	Real-Time Semantic Segmentation via Auto Depth, Downsampling Joint Decision and Feature Aggregation. CoRR Peng Sun, Jiaxiang Wu, Songyuan Li, Peiwen Lin, Junzhou Huang, Xi Li
2020	A*	`conf`	Revisiting Parameter Sharing for Automatic Neural Channel Number Search. NeurIPS Jiaxing Wang, Haoli Bai, Jiaxiang Wu, Xupeng Shi, Junzhou Huang, Irwin King, Michael R. Lyu, Jian Cheng
2020	—	`conf`	WeightAln: Weighted Homologous Alignment for Protein Structure Property Prediction. BIBM Yuzhi Guo, Jiaxiang Wu, Hehuan Ma, Jinyu Yang, Xinliang Zhu, Junzhou Huang
2019	A*	`conf`	An Efficient Approach to Informative Feature Extraction from Multimodal Data. AAAI Lichen Wang, Jiaxiang Wu, Shao-Lun Huang, Lizhong Zheng, Xiangxiang Xu, Lin Zhang, Junzhou Huang
2019	A*	`conf`	Collaborative Channel Pruning for Deep Networks. ICML Hanyu Peng, Jiaxiang Wu, Shifeng Chen, Junzhou Huang
2019	A*	`conf`	Double Quantization for Communication-Efficient Distributed Optimization. NeurIPS Yue Yu, Jiaxiang Wu, Longbo Huang
2019	A	`conf`	Exploring Fast and Communication-Efficient Algorithms in Large-Scale Distributed Networks. AISTATS Yue Yu, Jiaxiang Wu, Junzhou Huang
2019	J	`jnl`	Few Shot Network Compression via Cross Distillation. CoRR Haoli Bai, Jiaxiang Wu, Irwin King, Michael R. Lyu
2018	J	`jnl`	An Efficient Approach to Informative Feature Extraction from Multimodal Data. CoRR Lichen Wang, Jiaxiang Wu, Shao-Lun Huang, Lizhong Zheng, Xiangxiang Xu, Lin Zhang, Junzhou Huang
2018	—	`conf`	Core-set based product quantization for large-scale multimedia search. ICIMCS Tianli Zhao, Yanshu Jiang, Jiaxiang Wu, Jian Cheng
2018	A*	`conf`	Error Compensated Quantized SGD and its Applications to Large-scale Distributed Optimization. ICML Jiaxiang Wu, Weidong Huang, Junzhou Huang, Tong Zhang
2018	J	`jnl`	Error Compensated Quantized SGD and its Applications to Large-scale Distributed Optimization. CoRR Jiaxiang Wu, Weidong Huang, Junzhou Huang, Tong Zhang
2018	J	`jnl`	Quantized CNN: A Unified Approach to Accelerate and Compress Convolutional Networks. IEEE Trans. Neural Networks Learn. Syst. Jian Cheng, Jiaxiang Wu, Cong Leng, Yuhang Wang, Qinghao Hu
2017	—	`ch.`	Bayesian Co-Boosting for Multi-modal Gesture Recognition. Gesture Recognition Jiaxiang Wu, Jian Cheng
2017	A	`conf`	Fast K-means for Large Scale Clustering. CIKM Qinghao Hu, Jiaxiang Wu, Lu Bai, Yifan Zhang, Jian Cheng
2017	A*	`conf`	Pseudo Label based Unsupervised Deep Discriminative Hashing for Image Retrieval. ACM Multimedia Qinghao Hu, Jiaxiang Wu, Jian Cheng, Lifang Wu, Hanqing Lu
2016	A*	`conf`	Quantized Convolutional Neural Networks for Mobile Devices. CVPR Jiaxiang Wu, Cong Leng, Yuhang Wang, Qinghao Hu, Jian Cheng
2016	A*	`conf`	Shoot to Know What: An Application of Deep Networks on Mobile Devices. AAAI Jiaxiang Wu, Qinghao Hu, Cong Leng, Jian Cheng
2015	A*	`conf`	Hashing for Distributed Data. ICML Cong Leng, Jiaxiang Wu, Jian Cheng, Xi Zhang, Hanqing Lu
2015	A*	`conf`	Learning Deep Features For MSR-bing Information Retrieval Challenge. ACM Multimedia Qiang Song, Sixie Yu, Cong Leng, Jiaxiang Wu, Qinghao Hu, Jian Cheng
2015	A*	`conf`	Online sketching hashing. CVPR Cong Leng, Jiaxiang Wu, Jian Cheng, Xiao Bai, Hanqing Lu
2015	J	`jnl`	Quantized Convolutional Neural Networks for Mobile Devices. CoRR Jiaxiang Wu, Cong Leng, Yuhang Wang, Qinghao Hu, Jian Cheng
2014	J	`jnl`	Bayesian co-boosting for multi-modal gesture recognition. J. Mach. Learn. Res. Jiaxiang Wu, Jian Cheng
2014	A*	`conf`	Fast and Accurate Image Matching with Cascade Hashing for 3D Reconstruction. CVPR Jian Cheng, Cong Leng, Jiaxiang Wu, Hainan Cui, Hanqing Lu
2014	A	`conf`	Supervised Hashing with Soft Constraints. CIKM Cong Leng, Jian Cheng, Jiaxiang Wu, Xi Zhang, Hanqing Lu
2013	B	`conf`	Fusing multi-modal features for gesture recognition. ICMI Jiaxiang Wu, Jian Cheng, Chaoyang Zhao, Hanqing Lu