| 2025 | AAAI | Treasures in Discarded Weights for LLM Quantization. | Hao Yu, Yang Zhou, Bohua Chen, Zelan Yang, Shen Li, Yong Li, Jianxin Wu |
| 2025 | AAAI | All You Need in Knowledge Distillation Is a Tailored Coordinate System. | Junjie Zhou, Ke Zhu, Jianxin Wu |
| 2025 | CVPR | Quantization without Tears. | Minghao Fu, Hao Yu, Jie Shao, Junjie Zhou, Ke Zhu, Jianxin Wu |
| 2025 | CVPR | Minimal Interaction Seperated Tuning: A New Paradigm for Visual Adaptation. | Ningyuan Tang, Minghao Fu, Jianxin Wu |
| 2025 | ICCAD | An Adaptive Sparse Matrix Compression CIM Accelerator based on 256Kb SOT-MRAM for Downlink Massive MIMO Communications. | Liangchen Li, Jianxin Wu, Changyu Li, Liang Zhang, Anyang Yu, Junda Zhao, Zhaohao Wang, Chengyuan Sun, Kaihua Cao, Hongxi Liu, Wang Kang, He Zhang, Weisheng Zhao |
| 2025 | ICCV | Memory-Efficient Generative Models via Product Quantization. | Jie Shao, Hanxiao Zhang, Hao Yu, Jianxin Wu |
| 2024 | AAAI | DTL: Disentangled Transfer Learning for Visual Recognition. | Minghao Fu, Ke Zhu, Jianxin Wu |
| 2024 | ECCV | Rectify the Regression Bias in Long-Tailed Object Detection. | Ke Zhu, Minghao Fu, Jie Shao, Tianyu Liu, Jianxin Wu |
| 2024 | KDD | Unified Low-rank Compression Framework for Click-through Rate Prediction. | Hao Yu, Minghao Fu, Jiandong Ding, Yusheng Zhou, Jianxin Wu |
| 2023 | AAAI | Compressing Transformers: Features Are Low-Rank, but Weights Are Not! | Hao Yu, Jianxin Wu |
| 2023 | AAAI | Quantized Feature Distillation for Network Quantization. | Ke Zhu, Yin-Yin He, Jianxin Wu |
| 2023 | CVPR | No One Left Behind: Improving the Worst Categories in Long-Tailed Learning. | Yingxiao Du, Jianxin Wu |
| 2023 | CVPR | Practical Network Acceleration with Tiny Sets. | Guo-Hua Wang, Jianxin Wu |
| 2023 | ICCV | Multi-Label Self-Supervised Learning with Scene Images. | Ke Zhu, Minghao Fu, Jianxin Wu |
| 2022 | AAAI | A Random CNN Sees Objects: One Inductive Bias of CNN and Its Applications. | Yun-Hao Cao, Jianxin Wu |
| 2022 | CVPR | Salvage of Supervision in Weakly Supervised Object Detection. | Lin Sui, Chen-Lin Zhang, Jianxin Wu |
| 2022 | CVPR | Compressing Models with Few Samples: Mimicking then Replacing. | Huanyu Wang, Junjie Liu, Xin Ma, Yang Yong, Zhenhua Chai, Jianxin Wu |
| 2022 | DAC | CP-SRAM: charge-pulsation SRAM marco for ultra-high energy-efficiency computing-in-memory. | He Zhang, Linjun Jiang, Jianxin Wu, Tingran Chen, Junzhan Liu, Wang Kang, Weisheng Zhao |
| 2022 | ECCV | Synergistic Self-supervised and Quantization Learning. | Yun-Hao Cao, Peiqin Sun, Yechang Huang, Jianxin Wu, Shuchang Zhou |
| 2022 | ECCV | Training Vision Transformers with only 2040 Images. | Yun-Hao Cao, Hao Yu, Jianxin Wu |
| 2022 | ECCV | Worst Case Matters for Few-Shot Recognition. | Minghao Fu, Yun-Hao Cao, Jianxin Wu |
| 2022 | ECCV | ActionFormer: Localizing Moments of Actions with Transformers. | Chen-Lin Zhang, Jianxin Wu, Yin Li |
| 2021 | AAAI | Bag of Tricks for Long-Tailed Visual Recognition with Deep Convolutional Neural Networks. | Yongshun Zhang, Xiu-Shen Wei, Boyan Zhou, Jianxin Wu |
| 2021 | ICCV | Distilling Virtual Examples for Long-tailed Recognition. | Yin-Yin He, Jianxin Wu, Xiu-Shen Wei |
| 2021 | ICCV | Webly Supervised Fine-Grained Recognition: Benchmark Datasets and An Approach. | Zeren Sun, Yazhou Yao, Xiu-Shen Wei, Yongshun Zhang, Fumin Shen, Jianxin Wu, Jian Zhang, Heng Tao Shen |
| 2021 | ICCV | Residual Attention: A Simple but Effective Method for Multi-Label Recognition. | Ke Zhu, Jianxin Wu |
| 2021 | ICIG | Mixup Without Hesitation. | Hao Yu, Huanyu Wang, Jianxin Wu |
| 2020 | AAAI | Repetitive Reprediction Deep Decipher for Semi-Supervised Learning. | Guo-Hua Wang, Jianxin Wu |
| 2020 | AAAI | Deep Discriminative CNN with Temporal Ensembling for Ambiguously-Labeled Image Classification. | Yao Yao, Jiehui Deng, Xiuhua Chen, Chen Gong, Jianxin Wu, Jian Yang |
| 2020 | CVPR | Neural Network Pruning With Residual-Connections and Limited-Data. | Jian-Hao Luo, Jianxin Wu |
| 2020 | CVPR | Rethinking the Route Towards Weakly Supervised Object Localization. | Chen-Lin Zhang, Yun-Hao Cao, Jianxin Wu |
| 2019 | CVPR | Probabilistic End-To-End Noise Correction for Learning With Noisy Labels. | Kun Yi, Jianxin Wu |
| 2018 | AAAI | Action Recognition With Coarse-to-Fine Deep Feature Integration and Asynchronous Fusion. | Weiyao Lin, Chongyang Zhang, Ke Lu, Bin Sheng, Jianxin Wu, Bingbing Ni, Xin Liu, Hongkai Xiong |
| 2018 | ACCV | Coarse-to-Fine: A RNN-Based Hierarchical Attention Model for Vehicle Re-identification. | Xiu-Shen Wei, Chen-Lin Zhang, Lingqiao Liu, Chunhua Shen, Jianxin Wu |
| 2018 | IJCAI | Age Estimation Using Expectation of Label Distribution Learning. | Bin-Bin Gao, Hong-Yu Zhou, Jianxin Wu, Xin Geng |
| 2017 | BMVC | Sunrise or Sunset: Selective Comparison Learning for Subtle Attribute Recognition. | Hong-Yu Zhou, Bin-Bin Gao, Jianxin Wu |
| 2017 | ICCV | ThiNet: A Filter Level Pruning Method for Deep Neural Network Compression. | Jian-Hao Luo, Jianxin Wu, Weiyao Lin |
| 2017 | ICCV | Adaptive Feeding: Achieving Fast and Accurate Detections by Adaptively Combining Object Detectors. | Hong-Yu Zhou, Bin-Bin Gao, Jianxin Wu |
| 2017 | IJCAI | Deep Descriptor Transforming for Image Co-Localization. | Xiu-Shen Wei, Chen-Lin Zhang, Yao Li, Chen-Wei Xie, Jianxin Wu, Chunhua Shen, Zhi-Hua Zhou |
| 2016 | AAAI | Representing Sets of Instances for Visual Recognition. | Jianxin Wu, Bin-Bin Gao, Guoqing Liu |
| 2016 | CVPR | Exploit Bounding Box Annotations for Multi-Label Object Recognition. | Hao Yang, Joey Tianyi Zhou, Yu Zhang, Bin-Bin Gao, Jianxin Wu, Jianfei Cai |
| 2016 | ECCV | Deep Bimodal Regression for Apparent Personality Analysis. | Chen-Lin Zhang, Hao Zhang, Xiu-Shen Wei, Jianxin Wu |
| 2016 | IJCNN | Learning compact binary codes from higher-order tensors via Free-Form Reshaping and Binarized Multilinear PCA. | Haiping Lu, Jianxin Wu, Yu Zhang |
| 2015 | ICCV | Person Re-Identification with Correspondence Structure Learning. | Yang Shen, Weiyao Lin, Junchi Yan, Mingliang Xu, Jianxin Wu, Jingdong Wang |
| 2014 | ACML | Learning with Augmented Multi-Instance View. | Yue Zhu, Jianxin Wu, Yuan Jiang, Zhi-Hua Zhou |
| 2014 | CVPR | Towards Good Practices for Action Video Encoding. | Jianxin Wu, Yu Zhang, Weiyao Lin |
| 2014 | CVPR | Compact Representation for Image Classification: To Choose or to Compress? | Yu Zhang, Jianxin Wu, Jianfei Cai |
| 2014 | DCOSS | A Dual-Sensor Enabled Indoor Localization System with Crowdsensing Spot Survey. | Chi Zhang, Jun Luo, Jianxin Wu |
| 2014 | ECCV | Optimizing Ranking Measures for Compact Binary Code Learning. | Guosheng Lin, Chunhua Shen, Jianxin Wu |
| 2014 | ECCV | Finding Coherent Motions and Semantic Regions in Crowd Scenes: A Diffusion and Clustering Approach. | Weiyue Wang, Weiyao Lin, Yuanzhe Chen, Jianxin Wu, Jingdong Wang, Bin Sheng |
| 2014 | ICDM | Scalable Multi-instance Learning. | Xiu-Shen Wei, Jianxin Wu, Zhi-Hua Zhou |
| 2013 | IJCAI | Reduced Heteroscedasticity Linear Regression for Nystrm Approximation. | Hao Yang, Jianxin Wu |
| 2013 | ISCAS | Salient object cutout using Google images. | Hongyuan Zhu, Jianfei Cai, Jianmin Zheng, Jianxin Wu, Nadia Magnenat-Thalmann |
| 2013 | IWQoS | Remora: Sensing resource sharing among smartphone-based body sensor networks. | Matthew Keally, Gang Zhou, Guoliang Xing, Jianxin Wu |
| 2013 | MMM | A New Network-Based Algorithm for Human Group Activity Recognition in Videos. | Gaojian Li, Weiyao Lin, Sheng Zhang, Jianxin Wu, Yuanzhe Chen, Hui Wei |
| 2012 | ACCV | Object Templates for Visual Place Categorization. | Hao Yang, Jianxin Wu |
| 2012 | ACCV | Exclusive Visual Descriptor Quantization. | Yu Zhang, Jianxin Wu, Weiyao Lin |
| 2012 | CVPR | Power mean SVM for large scale visual classification. | Jianxin Wu |
| 2012 | ISCAS | Facial expression mapping based on elastic and muscle-distribution-based models. | Yihao Zhang, Weiyao Lin, Bin Sheng, Jianxin Wu, Hongxiang Li, Chongyang Zhang |
| 2011 | IJCAI | Probit Classifiers with a Generalized Gaussian Scale Mixture Prior. | Guoqing Liu, Jianxin Wu, Suiping Zhou |
| 2011 | INFOCOM | Exploiting sensing diversity for confident sensing in wireless sensor networks. | Matthew Keally, Gang Zhou, Guoliang Xing, Jianxin Wu |
| 2011 | ICRA | Real-time human detection using contour cues. | Jianxin Wu, Christopher Geyer, James M. Rehg |
| 2011 | PAKDD | Balance Support Vector Machines Locally Using the Structural Similarity Kernel. | Jianxin Wu |
| 2011 | SENSYS | PBN: towards practical activity recognition using smartphone-based body sensor networks. | Matthew Keally, Gang Zhou, Guoliang Xing, Jianxin Wu, Andrew J. Pyles |
| 2010 | ECCV | A Fast Dual Method for HIK SVM Learning. | Jianxin Wu |
| 2009 | ICCV | Beyond the Euclidean distance: Creating effective visual codebooks using the Histogram Intersection Kernel. | Jianxin Wu, James M. Rehg |
| 2009 | IROS | Visual Place Categorization: Problem, dataset, and algorithm. | Jianxin Wu, Henrik I. Christensen, James M. Rehg |
| 2009 | ICRA | On the switching control of multiple mobile robots formation. | Jianxin Wu, Zhe Jiang |
| 2008 | CVPR | Where am I: Place instance and category recognition using spatial PACT. | Jianxin Wu, James M. Rehg |
| 2007 | ICCV | A Scalable Approach to Activity Recognition based on Object Use. | Jianxin Wu, Adebola Osuntogun, Tanzeem Choudhury, Matthai Philipose, James M. Rehg |
| 2006 | ICDM | Exploratory Under-Sampling for Class-Imbalance Learning. | Xu-Ying Liu, Jianxin Wu, Zhi-Hua Zhou |
| 2005 | ICML | Linear Asymmetric Classifier for cascade detectors. | Jianxin Wu, Matthew D. Mullin, James M. Rehg |
| 2001 | IJCAI | Genetic Algorithm based Selective Neural Network Ensemble. | Zhi-Hua Zhou, Jianxin Wu, Yuan Jiang, Shifu Chen |