Wu, Qiang

31 publications

CVPR 2025 Enhanced Visual-Semantic Interaction with Tailored Prompts for Pedestrian Attribute Recognition Junyi Wu, Yan Huang, Min Gao, Yuzhen Niu, Yuzhong Chen, Qiang Wu

AAAI 2025 MeRino: Entropy-Driven Design for Generative Language Models on IoT Devices Youpeng Zhao, Ming Lin, Huadong Tang, Qiang Wu, Jun Wang

NeurIPS 2025 RSAVQ: Riemannian Sensitivity-Aware Vector Quantization for Large Language Models Zukang Xu, Xing Hu, Qiang Wu, Dawei Yang

CVPR 2024 Attribute-Guided Pedestrian Retrieval: Bridging Person Re-ID with Internal Attribute Variability Yan Huang, Zhang Zhang, Qiang Wu, Yi Zhong, Liang Wang

AAAI 2024 Higher-Order Graph Convolutional Network with Flower-Petals Laplacians on Simplicial Complexes Yiming Huang, Yujie Zeng, Qiang Wu, Linyuan Lü

NeurIPS 2024 Peri-midFormer: Periodic Pyramid Transformer for Time Series Analysis Qiang Wu, Gechang Yao, Zhixi Feng, Shuyuan Yang

ICMLW 2023 Benchmarking the Reliability of Post-Training Quantization: A Particular Focus on Worst-Case Performance Zhihang Yuan, Jiawei Liu, Jiaxiang Wu, Dawei Yang, Qiang Wu, Guangyu Sun, Wenyu Liu, Xinggang Wang, Bingzhe Wu

CVPR 2023 Unsupervised Deep Probabilistic Approach for Partial Point Cloud Registration Guofeng Mei, Hao Tang, Xiaoshui Huang, Weijie Wang, Juan Liu, Jian Zhang, Luc Van Gool, Qiang Wu

ICML 2022 Expression Might Be Enough: Representing Pressure and Demand for Reinforcement Learning Based Traffic Signal Control Liang Zhang, Qiang Wu, Jun Shen, Linyuan Lü, Bo Du, Jianqing Wu

ECCV 2022 PTQ4ViT: Post-Training Quantization for Vision Transformers with Twin Uniform Quantization Zhihang Yuan, Chenhao Xue, Yiqi Chen, Qiang Wu, Guangyu Sun

ICCV 2021 Clothing Status Awareness for Long-Term Person Re-Identification Yan Huang, Qiang Wu, JingSong Xu, Yi Zhong, ZhaoXiang Zhang

JMLR 2021 Optimal Rates of Distributed Regression with Imperfect Kernels Hongwei Sun, Qiang Wu

AAAI 2021 PTN: A Poisson Transfer Network for Semi-Supervised Few-Shot Learning Huaxi Huang, Junjie Zhang, Jian Zhang, Qiang Wu, Chang Xu

JMLR 2020 Distributed Minimum Error Entropy Algorithms Xin Guo, Ting Hu, Qiang Wu

NeurIPS 2020 Field-Wise Learning for Multi-Field Categorical Data Zhibin Li, Jian Zhang, Yongshun Gong, Yazhou Yao, Qiang Wu

WACV 2018 Fine-Grained and Semantic-Guided Visual Attention for Image Captioning Zongjian Zhang, Qiang Wu, Yang Wang, Fang Chen

WACV 2018 Long-Term Person Re-Identification Using True Motion from Videos Peng Zhang, Qiang Wu, Jingsong Xu, Jian Zhang

JMLR 2017 Learning Theory of Distributed Regression with Bias Corrected Regularization Kernel Network Zheng-Chu Guo, Lei Shi, Qiang Wu

CVPRW 2016 Real Time Complete Dense Depth Reconstruction for a Monocular Camera Xiaoshui Huang, Lixin Fan, Jian Zhang, Qiang Wu, Chun Yuan

ECCV 2012 Object Categorization Based on a Supervised Mean Shift Algorithm Ruo Du, Qiang Wu, Xiangjian He, Jie Yang

ECCVW 2012 Object Categorization Based on a Supervised Mean Shift Algorithm Ruo Du, Qiang Wu, Xiangjian He, Jie Yang

CVPR 2011 An Effective Document Image Deblurring Algorithm Xiaogang Chen, Xiangjian He, Jie Yang, Qiang Wu

MLJ 2011 Estimating Variable Structure and Dependence in Multitask Learning via Gradients Justin Guinney, Qiang Wu, Sayan Mukherjee

JMLR 2010 Learning Gradients: Predictive Models That Infer Geometry and Statistical Dependence Qiang Wu, Justin Guinney, Mauro Maggioni, Sayan Mukherjee

CVPR 2010 Support Vector Regression for Multi-View Gait Recognition Based on Local Motion Feature Selection Worapan Kusakunniran, Qiang Wu, Jian Zhang, Hongdong Li

ICCVW 2009 Multiple Views Gait Recognition Using View Transformation Model Based on Optimized Gait Energy Image Worapan Kusakunniran, Qiang Wu, Hongdong Li, Jian Zhang

NeurIPS 2008 Localized Sliced Inverse Regression Qiang Wu, Sayan Mukherjee, Feng Liang

JMLR 2007 Characterizing the Function Space for Bayesian Kernel Models Natesh S. Pillai, Qiang Wu, Feng Liang, Sayan Mukherjee, Robert L. Wolpert

NeurIPS 2007 McRank: Learning to Rank Using Multiple Classification and Gradient Boosting Ping Li, Qiang Wu, Christopher J. Burges

JMLR 2006 Estimation of Gradients and Coordinate Covariation in Classification Sayan Mukherjee, Qiang Wu

JMLR 2004 Support Vector Machine Soft Margin Classifiers: Error Analysis Di-Rong Chen, Qiang Wu, Yiming Ying, Ding-Xuan Zhou