Fusing multi-modal features for gesture recognition. - Jiaxiang Wu 001; Jian Cheng 001; Chaoyang Zhao; Hanqing Lu (ICMI, 2013)

Supervised Hashing with Soft Constraints. - Cong Leng; Jian Cheng 001; Jiaxiang Wu 001; Xi Zhang 018; Hanqing Lu (CIKM, 2014)

Fast and Accurate Image Matching with Cascade Hashing for 3D Reconstruction. - Jian Cheng 001; Cong Leng; Jiaxiang Wu 001; Hainan Cui; Hanqing Lu (CVPR, 2014)

Bayesian co-boosting for multi-modal gesture recognition. - Jiaxiang Wu 001; Jian Cheng 001 (J. Mach. Learn. Res., 2014)

Online sketching hashing. - Cong Leng; Jiaxiang Wu 001; Jian Cheng 001; Xiao Bai 001; Hanqing Lu (CVPR, 2015)

Hashing for Distributed Data. - Cong Leng; Jiaxiang Wu 001; Jian Cheng 001; Xi Zhang 018; Hanqing Lu (ICML, 2015)

Learning Deep Features For MSR-bing Information Retrieval Challenge. - Qiang Song; Sixie Yu; Cong Leng; Jiaxiang Wu 001; Qinghao Hu 001; Jian Cheng 001 (ACM Multimedia, 2015)

Shoot to Know What: An Application of Deep Networks on Mobile Devices. - Jiaxiang Wu 001; Qinghao Hu 001; Cong Leng; Jian Cheng 001 (AAAI, 2016)

Quantized Convolutional Neural Networks for Mobile Devices. - Jiaxiang Wu 001; Cong Leng; Yuhang Wang; Qinghao Hu 001; Jian Cheng 001 (CVPR, 2016)

Bayesian Co-Boosting for Multi-modal Gesture Recognition. - Jiaxiang Wu 001; Jian Cheng 001 (Gesture Recognition, 2017)

Fast K-means for Large Scale Clustering. - Qinghao Hu 001; Jiaxiang Wu 001; Lu Bai 001; Yifan Zhang 001; Jian Cheng 001 (CIKM, 2017)

Pseudo Label based Unsupervised Deep Discriminative Hashing for Image Retrieval. - Qinghao Hu 001; Jiaxiang Wu 001; Jian Cheng 001; Lifang Wu; Hanqing Lu (ACM Multimedia, 2017)

Core-set based product quantization for large-scale multimedia search. - Tianli Zhao; Yanshu Jiang; Jiaxiang Wu 001; Jian Cheng 001 (ICIMCS, 2018)

Error Compensated Quantized SGD and its Applications to Large-scale Distributed Optimization. - Jiaxiang Wu 001; Weidong Huang 005; Junzhou Huang; Tong Zhang 001 (ICML, 2018)

Quantized CNN: A Unified Approach to Accelerate and Compress Convolutional Networks. - Jian Cheng 001; Jiaxiang Wu 001; Cong Leng; Yuhang Wang; Qinghao Hu 001 (IEEE Trans. Neural Networks Learn. Syst., 2018)

An Efficient Approach to Informative Feature Extraction from Multimodal Data. - Lichen Wang; Jiaxiang Wu 001; Shao-Lun Huang; Lizhong Zheng; Xiangxiang Xu 001; Lin Zhang 001; Junzhou Huang (AAAI, 2019)

Exploring Fast and Communication-Efficient Algorithms in Large-Scale Distributed Networks. - Yue Yu; Jiaxiang Wu 001; Junzhou Huang (AISTATS, 2019)

Collaborative Channel Pruning for Deep Networks. - Hanyu Peng; Jiaxiang Wu 001; Shifeng Chen; Junzhou Huang (ICML, 2019)

Double Quantization for Communication-Efficient Distributed Optimization. - Yue Yu; Jiaxiang Wu 001; Longbo Huang (NeurIPS, 2019)

Few Shot Network Compression via Cross Distillation. - Haoli Bai; Jiaxiang Wu 001; Irwin King; Michael R. Lyu (AAAI, 2020)

M-NAS: Meta Neural Architecture Search. - Jiaxing Wang; Jiaxiang Wu 001; Haoli Bai; Jian Cheng 001 (AAAI, 2020)

Protein Ensemble Learning with Atrous Spatial Pyramid Networks for Secondary Structure Prediction. - Yuzhi Guo; Jiaxiang Wu 001; Hehuan Ma; Sheng Wang 001; Junzhou Huang (BIBM, 2020)

WeightAln: Weighted Homologous Alignment for Protein Structure Property Prediction. - Yuzhi Guo; Jiaxiang Wu 001; Hehuan Ma; Jinyu Yang; Xinliang Zhu; Junzhou Huang (BIBM, 2020)

Revisiting Parameter Sharing for Automatic Neural Channel Number Search. - Jiaxing Wang; Haoli Bai; Jiaxiang Wu 001; Xupeng Shi; Junzhou Huang; Irwin King; Michael R. Lyu; Jian Cheng 001 (NeurIPS, 2020)

Bagging MSA Learning: Enhancing Low-Quality PSSM with Deep Learning for Accurate Protein Structure Property Prediction. - Yuzhi Guo; Jiaxiang Wu 001; Hehuan Ma; Sheng Wang 001; Junzhou Huang (RECOMB, 2020)

Bayesian Automatic Model Compression. - Jiaxing Wang; Haoli Bai; Jiaxiang Wu 001; Jian Cheng 001 (IEEE J. Sel. Top. Signal Process., 2020)

PSSM-Distil: Protein Secondary Structure Prediction (PSSP) on Low-Quality PSSM by Knowledge Distillation with Contrastive Learning. - Qin Wang 011; Boyuan Wang; Zhenlei Xu; Jiaxiang Wu 001; Peilin Zhao; Zhen Li 026; Sheng Wang 001; Junzhou Huang; Shuguang Cui (AAAI, 2021)

AdaXpert: Adapting Neural Architecture for Growing Data. - Shuaicheng Niu; Jiaxiang Wu 001; Guanghui Xu 002; Yifan Zhang 004; Yong Guo; Peilin Zhao; Peng Wang; Mingkui Tan (ICML, 2021)

Federated Face Recognition. - Fan Bai 001; Jiaxiang Wu 001; Pengcheng Shen; Shaoxin Li 001; Shuigeng Zhou (CoRR, 2021)

tFold-TR: Combining Deep Learning Enhanced Hybrid Potential Energy for Template-Based Modelling Structure Refinement. - Liangzhen Zheng; Haidong Lan; Tao Shen; Jiaxiang Wu 001; Sheng Wang 001; Wei Liu 005; Junzhou Huang (CoRR, 2021)

EBM-Fold: Fully-Differentiable Protein Folding Powered by Energy-based Models. - Jiaxiang Wu 001; Shitong Luo; Tao Shen; Haidong Lan; Sheng Wang 001; Junzhou Huang (CoRR, 2021)

Energy-Based Learning for Cooperative Games, with Applications to Feature/Data/Model Valuations. - Yatao Bian; Yu Rong 001; Tingyang Xu; Jiaxiang Wu 001; Andreas Krause 001; Junzhou Huang (CoRR, 2021)

Real-Time Semantic Segmentation via Auto Depth, Downsampling Joint Decision and Feature Aggregation. - Peng Sun 011; Jiaxiang Wu 001; Songyuan Li; Peiwen Lin; Junzhou Huang; Xi Li 001 (Int. J. Comput. Vis., 2021)

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. - Yuzhi Guo; Jiaxiang Wu 001; Hehuan Ma; Sheng Wang 001; Junzhou Huang (J. Comput. Biol., 2021)

EPTool: A New Enhancing PSSM Tool for Protein Secondary Structure Prediction. - Yuzhi Guo; Jiaxiang Wu 001; Hehuan Ma; Sheng Wang 001; Junzhou Huang (J. Comput. Biol., 2021)

Disturbance-immune weight sharing for neural architecture search. - Shuaicheng Niu; Jiaxiang Wu 001; Yifan Zhang 004; Yong Guo; Peilin Zhao; Junzhou Huang; Mingkui Tan (Neural Networks, 2021)

GNN-Retro: Retrosynthetic Planning with Graph Neural Networks. - Peng Han 005; Peilin Zhao; Chan Lu; Junzhou Huang; Jiaxiang Wu 001; Shuo Shang; Bin Yao 002; Xiangliang Zhang 001 (AAAI, 2022)

Self-Supervised Pre-training for Protein Embeddings Using Tertiary Structures. - Yuzhi Guo; Jiaxiang Wu 001; Hehuan Ma; Junzhou Huang (AAAI, 2022)

Energy-Based Learning for Cooperative Games, with Applications to Valuation Problems in Machine Learning. - Yatao Bian; Yu Rong 001; Tingyang Xu; Jiaxiang Wu 001; Andreas Krause 001; Junzhou Huang (ICLR, 2022)

Efficient Test-Time Model Adaptation without Forgetting. - Shuaicheng Niu; Jiaxiang Wu 001; Yifan Zhang 004; Yaofo Chen; Shijian Zheng; Peilin Zhao; Mingkui Tan (ICML, 2022)

DrugOOD: Out-of-Distribution (OOD) Dataset Curator and Benchmark for AI-aided Drug Discovery - A Focus on Affinity Prediction Problems with Noise Annotations. - Yuanfeng Ji; Lu Zhang 060; Jiaxiang Wu 001; Bingzhe Wu; Long-Kai Huang; Tingyang Xu; Yu Rong 001; Lanqing Li; Jie Ren; Ding Xue; Houtim Lai; Shaoyong Xu; et al. (CoRR, 2022)

Boost Test-Time Performance with Closed-Loop Inference. - Shuaicheng Niu; Jiaxiang Wu 001; Yifan Zhang 004; Guanghui Xu 002; Haokun Li; Peilin Zhao; Junzhou Huang; Yaowei Wang 001; Mingkui Tan (CoRR, 2022)

Multi-scale Attention Flow for Probabilistic Time Series Forecasting. - Shibo Feng; Ke Xu; Jiaxiang Wu 001; Pengcheng Wu; Fan Lin; Peilin Zhao (CoRR, 2022)

Quantized Adaptive Subgradient Algorithms and Their Applications. - Ke Xu; Jianqiao Wangni; Yifan Zhang 004; Deheng Ye; Jiaxiang Wu 001; Peilin Zhao (CoRR, 2022)

Deep Network Quantization via Error Compensation. - Hanyu Peng; Jiaxiang Wu 001; Zhiwei Zhang; Shifeng Chen; Hai-Tao Zhang (IEEE Trans. Neural Networks Learn. Syst., 2022)

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 060; Jiaxiang Wu 001; Bingzhe Wu; Lanqing Li; Long-Kai Huang; Tingyang Xu; Yu Rong 001; Jie Ren; Ding Xue; Houtim Lai; Wei Liu 005; et al. (AAAI, 2023)

PsyCoT: Psychological Questionnaire as Powerful Chain-of-Thought for Personality Detection. - Tao Yang 033; Tianyuan Shi; Fanqi Wan; Xiaojun Quan; Qifan Wang 001; Bingzhe Wu; Jiaxiang Wu 001 (EMNLP (Findings), 2023)

Privacy-Preserving Face Recognition Using Random Frequency Components. - Yuxi Mi; Yuge Huang; Jiazhen Ji; Minyi Zhao; Jiaxiang Wu 001; Xingkun Xu; Shouhong Ding; Shuigeng Zhou (ICCV, 2023)

Towards Stable Test-time Adaptation in Dynamic Wild World. - Shuaicheng Niu; Jiaxiang Wu 001; Yifan Zhang 004; Zhiquan Wen; Yaofo Chen; Peilin Zhao; Mingkui Tan (ICLR, 2023)

Anime Character Identification and Tag Prediction by Multimodality Modeling: Dataset and Model. - Fan Yi; Jiaxiang Wu 001; Minyi Zhao; Shuigeng Zhou (IJCNN, 2023)

Benchmarking the Reliability of Post-training Quantization: a Particular Focus on Worst-case Performance. - Zhihang Yuan; Jiawei Liu 006; Jiaxiang Wu 001; Dawei Yang; Qiang Wu 012; Guangyu Sun 003; Wenyu Liu 001; Xinggang Wang; Bingzhe Wu (CoRR, 2023)

RPTQ: Reorder-based Post-training Quantization for Large Language Models. - Zhihang Yuan; Lin Niu; Jiawei Liu 006; Wenyu Liu 001; Xinggang Wang; Yuzhang Shang; Guangyu Sun 003; Qiang Wu 012; Jiaxiang Wu 001; Bingzhe Wu (CoRR, 2023)

EBMDock: Neural Probabilistic Protein-Protein Docking via a Differentiable Energy Model. - Huaijin Wu; Wei Liu 005; Yatao Bian; Jiaxiang Wu 001; Nianzu Yang; Junchi Yan (ICLR, 2024)

MorphGrower: A Synchronized Layer-by-layer Growing Approach for Plausible Neuronal Morphology Generation. - Nianzu Yang; Kaipeng Zeng; Haotian Lu 009; Yexin Wu; Zexin Yuan; Danni Chen; Shengdian Jiang; Jiaxiang Wu 001; Yimin Wang; Junchi Yan (ICML, 2024)

Multi-Scale Attention Flow for Probabilistic Time Series Forecasting. - Shibo Feng; Chunyan Miao; Ke Xu; Jiaxiang Wu 001; Pengcheng Wu; Yang Zhang 075; Peilin Zhao (IEEE Trans. Knowl. Data Eng., 2024)

IgGM: A Generative Model for Functional Antibody and Nanobody Design. - Rubo Wang; Fandi Wu; Xingyu Gao 001; Jiaxiang Wu 001; Peilin Zhao; Jianhua Yao 001 (ICLR, 2025)

Uncertainty-Calibrated Test-Time Model Adaptation Without Forgetting. - Mingkui Tan; Guohao Chen; Jiaxiang Wu 001; Yifan Zhang 004; Yaofo Chen; Peilin Zhao; Shuaicheng Niu (IEEE Trans. Pattern Anal. Mach. Intell., 2025)