Jiaxiang Wu

Publication Activity (10 Years)

Years Active: 2012-2022
Publications (10 Years): 37

Top Topics

Sequence Alignment

Simulated Annealing Algorithm

Secondary Structure

Top Venues

Publications

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
DrugOOD: Out-of-Distribution (OOD) Dataset Curator and Benchmark for AI-aided Drug Discovery - A Focus on Affinity Prediction Problems with Noise Annotations. CoRR (2022)
Shuaicheng Niu, Jiaxiang Wu, Yifan Zhang, Yong Guo, Peilin Zhao, Junzhou Huang, Mingkui Tan
Disturbance-immune weight sharing for neural architecture search. Neural Networks 144 (2021)
Shuaicheng Niu, Jiaxiang Wu, Guanghui Xu, Yifan Zhang, Yong Guo, Peilin Zhao, Peng Wang, Mingkui Tan
AdaXpert: Adapting Neural Architecture for Growing Data. CoRR (2021)
Yuzhi Guo, Jiaxiang Wu, Hehuan Ma, Sheng Wang, Junzhou Huang
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. 28 (4) (2021)
Fan Bai, Jiaxiang Wu, Pengcheng Shen, Shaoxin Li, Shuigeng Zhou
Federated Face Recognition. CoRR (2021)
Liangzhen Zheng, Haidong Lan, Tao Shen, Jiaxiang Wu, Sheng Wang, Wei Liu, Junzhou Huang
tFold-TR: Combining Deep Learning Enhanced Hybrid Potential Energy for Template-Based Modelling Structure Refinement. CoRR (2021)
Peng Sun, Jiaxiang Wu, Songyuan Li, Peiwen Lin, Junzhou Huang, Xi Li
Real-Time Semantic Segmentation via Auto Depth, Downsampling Joint Decision and Feature Aggregation. Int. J. Comput. Vis. 129 (5) (2021)
Yatao Bian, Yu Rong, Tingyang Xu, Jiaxiang Wu, Andreas Krause, Junzhou Huang
Energy-Based Learning for Cooperative Games, with Applications to Feature/Data/Model Valuations. CoRR (2021)
Jiaxiang Wu, Shitong Luo, Tao Shen, Haidong Lan, Sheng Wang, Junzhou Huang
EBM-Fold: Fully-Differentiable Protein Folding Powered by Energy-based Models. CoRR (2021)
Yuzhi Guo, Jiaxiang Wu, Hehuan Ma, Sheng Wang, Junzhou Huang
EPTool: A New Enhancing PSSM Tool for Protein Secondary Structure Prediction. J. Comput. Biol. 28 (4) (2021)
Qin Wang, Boyuan Wang, Zhenlei Xu, Jiaxiang Wu, Peilin Zhao, Zhen Li, Sheng Wang, Junzhou Huang, Shuguang Cui
PSSM-Distil: Protein Secondary Structure Prediction (PSSP) on Low-Quality PSSM by Knowledge Distillation with Contrastive Learning. AAAI (2021)
Shuaicheng Niu, Jiaxiang Wu, Guanghui Xu, Yifan Zhang, Yong Guo, Peilin Zhao, Peng Wang, Mingkui Tan
AdaXpert: Adapting Neural Architecture for Growing Data. ICML (2021)
Yuzhi Guo, Jiaxiang Wu, Hehuan Ma, Jinyu Yang, Xinliang Zhu, Junzhou Huang
WeightAln: Weighted Homologous Alignment for Protein Structure Property Prediction. BIBM (2020)
Jiaxing Wang, Haoli Bai, Jiaxiang Wu, Jian Cheng
Bayesian Automatic Model Compression. IEEE J. Sel. Top. Signal Process. 14 (4) (2020)
Yuzhi Guo, Jiaxiang Wu, Hehuan Ma, Sheng Wang, Junzhou Huang
Bagging MSA Learning: Enhancing Low-Quality PSSM with Deep Learning for Accurate Protein Structure Property Prediction. RECOMB (2020)
Jiaxing Wang, Haoli Bai, Jiaxiang Wu, Xupeng Shi, Junzhou Huang, Irwin King, Michael R. Lyu, Jian Cheng
Revisiting Parameter Sharing for Automatic Neural Channel Number Search. NeurIPS (2020)
Peng Sun, Jiaxiang Wu, Songyuan Li, Peiwen Lin, Junzhou Huang, Xi Li
Real-Time Semantic Segmentation via Auto Depth, Downsampling Joint Decision and Feature Aggregation. CoRR (2020)
Shuaicheng Niu, Jiaxiang Wu, Yifan Zhang, Yong Guo, Peilin Zhao, Junzhou Huang, Mingkui Tan
Disturbance-immune Weight Sharing for Neural Architecture Search. CoRR (2020)
Haoli Bai, Jiaxiang Wu, Irwin King, Michael R. Lyu
Few Shot Network Compression via Cross Distillation. AAAI (2020)
Jiaxing Wang, Jiaxiang Wu, Haoli Bai, Jian Cheng
M-NAS: Meta Neural Architecture Search. AAAI (2020)
Yuzhi Guo, Jiaxiang Wu, Hehuan Ma, Sheng Wang, Junzhou Huang
Protein Ensemble Learning with Atrous Spatial Pyramid Networks for Secondary Structure Prediction. BIBM (2020)
Yue Yu, Jiaxiang Wu, Longbo Huang
Double Quantization for Communication-Efficient Distributed Optimization. NeurIPS (2019)
Lichen Wang, Jiaxiang Wu, Shao-Lun Huang, Lizhong Zheng, Xiangxiang Xu, Lin Zhang, Junzhou Huang
An Efficient Approach to Informative Feature Extraction from Multimodal Data. AAAI (2019)
Hanyu Peng, Jiaxiang Wu, Shifeng Chen, Junzhou Huang
Collaborative Channel Pruning for Deep Networks. ICML (2019)
Yue Yu, Jiaxiang Wu, Junzhou Huang
Exploring Fast and Communication-Efficient Algorithms in Large-Scale Distributed Networks. AISTATS (2019)
Haoli Bai, Jiaxiang Wu, Irwin King, Michael R. Lyu
Few Shot Network Compression via Cross Distillation. CoRR (2019)
Tianli Zhao, Yanshu Jiang, Jiaxiang Wu, Jian Cheng
Core-set based product quantization for large-scale multimedia search. ICIMCS (2018)
Lichen Wang, Jiaxiang Wu, Shao-Lun Huang, Lizhong Zheng, Xiangxiang Xu, Lin Zhang, Junzhou Huang
An Efficient Approach to Informative Feature Extraction from Multimodal Data. CoRR (2018)
Jiaxiang Wu, Weidong Huang, Junzhou Huang, Tong Zhang
Error Compensated Quantized SGD and its Applications to Large-scale Distributed Optimization. ICML (2018)
Jian Cheng, Jiaxiang Wu, Cong Leng, Yuhang Wang, Qinghao Hu
Quantized CNN: A Unified Approach to Accelerate and Compress Convolutional Networks. IEEE Trans. Neural Networks Learn. Syst. 29 (10) (2018)
Jiaxiang Wu, Weidong Huang, Junzhou Huang, Tong Zhang
Error Compensated Quantized SGD and its Applications to Large-scale Distributed Optimization. CoRR (2018)
Qinghao Hu, Jiaxiang Wu, Jian Cheng, Lifang Wu, Hanqing Lu
Pseudo Label based Unsupervised Deep Discriminative Hashing for Image Retrieval. ACM Multimedia (2017)
Qinghao Hu, Jiaxiang Wu, Lu Bai, Yifan Zhang, Jian Cheng
Fast K-means for Large Scale Clustering. CIKM (2017)
Jiaxiang Wu, Cong Leng, Yuhang Wang, Qinghao Hu, Jian Cheng
Quantized Convolutional Neural Networks for Mobile Devices. CVPR (2016)
Xinrong Zhang, Jiaxiang Wu, Guangqing Kang
SOC estimation of Lithium battery by UKF algorithm based on dynamic parameter model. URAI (2016)
Dong Tian, Guanghui He, Jiaxiang Wu, Hongtao Chen, Yong Jiang
An accurate eye pupil localization approach based on adaptive gradient boosting decision tree. VCIP (2016)
Jiaxiang Wu, Qinghao Hu, Cong Leng, Jian Cheng
Shoot to Know What: An Application of Deep Networks on Mobile Devices. AAAI (2016)
Qiang Song, Sixie Yu, Cong Leng, Jiaxiang Wu, Qinghao Hu, Jian Cheng
Learning Deep Features For MSR-bing Information Retrieval Challenge. ACM Multimedia (2015)
Cong Leng, Jiaxiang Wu, Jian Cheng, Xiao Bai, Hanqing Lu
Online sketching hashing. CVPR (2015)
Cong Leng, Jiaxiang Wu, Jian Cheng, Xi Zhang, Hanqing Lu
Hashing for Distributed Data. ICML (2015)
Jiaxiang Wu, Cong Leng, Yuhang Wang, Qinghao Hu, Jian Cheng
Quantized Convolutional Neural Networks for Mobile Devices. CoRR (2015)
Jian Cheng, Cong Leng, Jiaxiang Wu, Hainan Cui, Hanqing Lu
Fast and Accurate Image Matching with Cascade Hashing for 3D Reconstruction. CVPR (2014)
Cong Leng, Jian Cheng, Jiaxiang Wu, Xi Zhang, Hanqing Lu
Supervised Hashing with Soft Constraints. CIKM (2014)
Jiaxiang Wu, Jian Cheng
Bayesian co-boosting for multi-modal gesture recognition. J. Mach. Learn. Res. 15 (1) (2014)
Jiaxiang Wu, Jian Cheng, Chaoyang Zhao, Hanqing Lu
Fusing multi-modal features for gesture recognition. ICMI (2013)
Ya Cai, Yuanqing Xia, Li Dai, Chi Xiao, Jiaxiang Wu
Coordination of repeaters based on Simulated Annealing Algorithm and Monte-Carlo Algorithm. Neurocomputing 97 (2012)