Zhou, Qiang

34 publications

ECML-PKDD 2025 C3DE: Causal-Aware Collaborative Neural Controlled Differential Equation for Long-Term Urban Crowd Flow Prediction Yuting Liu, Qiang Zhou, Hanzhe Li, Chenqi Gong, Jingjing Gu

ICLR 2025 CR2PQ: Continuous Relative Rotary Positional Query for Dense Visual Representation Learning Shaofeng Zhang, Qiang Zhou, Sitong Wu, Haoru Tan, Zhibin Wang, Jinfa Huang, Junchi Yan

AAAI 2025 DLF: Disentangled-Language-Focused Multimodal Sentiment Analysis Pan Wang, Qiang Zhou, Yawen Wu, Tianlong Chen, Jingtong Hu

NeurIPS 2025 SEEA-R1: Tree-Structured Reinforcement Fine-Tuning for Self-Evolving Embodied Agents Wanxin Tian, Shijie Zhang, Kevin Zhang, Xiaowei Chi, Chun-Kai Fan, Junyu Lu, Yulin Luo, Qiang Zhou, Yiming Zhao, Ning Liu, Siyu Lin, Zhiyuan Qin, Xiaozhu Ju, Shanghang Zhang, Jian Tang

ECCV 2024 An Empirical Study and Analysis of Text-to-Image Generation Using Large Language Model-Powered Textual Representation Zhiyu Tan, Mengping Yang, Luozheng Qin, Hao Yang, Ye Qian, Qiang Zhou, Cheng Zhang, Hao Li

ICLR 2024 Continuous-Multiple Image Outpainting in One-Step via Positional Query and a Diffusion-Based Approach Shaofeng Zhang, Jinfa Huang, Qiang Zhou, Zhibin Wang, Fan Wang, Jiebo Luo, Junchi Yan

ACML 2024 Convergence Analysis of Inexact Over-Relaxed ADMM via Dissipativity Theory Qiang Zhou, Sinno Jialin Pan

WACV 2024 Dynamic Token-Pass Transformers for Semantic Segmentation Yuang Liu, Qiang Zhou, Jing Wang, Zhibin Wang, Fan Wang, Jun Wang, Wei Zhang

AAAI 2024 Explainable Origin-Destination Crowd Flow Interpolation via Variational Multi-Modal Recurrent Graph Auto-Encoder Qiang Zhou, Xinjiang Lu, Jingjing Gu, Zhe Zheng, Bo Jin, Jingbo Zhou

NeurIPS 2024 I2EBench: A Comprehensive Benchmark for Instruction-Based Image Editing Yiwei Ma, Jiayi Ji, Ke Ye, Weihuang Lin, Zhibin Wang, Yonghan Zheng, Qiang Zhou, Xiaoshuai Sun, Rongrong Ji

NeurIPS 2024 LeDex: Training LLMs to Better Self-Debug and Explain Code Nan Jiang, Xiaopeng Li, Shiqi Wang, Qiang Zhou, Soneya Binta Hossain, Baishakhi Ray, Varun Kumar, Xiaofei Ma, Anoop Deoras

CVPR 2023 DPF: Learning Dense Prediction Fields with Weak Supervision Xiaoxue Chen, Yuhang Zheng, Yupeng Zheng, Qiang Zhou, Hao Zhao, Guyue Zhou, Ya-Qin Zhang

CVPR 2023 Foundation Model Drives Weakly Incremental Learning for Semantic Segmentation Chaohui Yu, Qiang Zhou, Jingliang Li, Jianlong Yuan, Zhibin Wang, Fan Wang

ICLR 2023 LMSeg: Language-Guided Multi-Dataset Segmentation Qiang Zhou, Yuang Liu, Chaohui Yu, Jingliang Li, Zhibin Wang, Fan Wang

NeurIPS 2023 PAD: A Dataset and Benchmark for Pose-Agnostic Anomaly Detection Qiang Zhou, Weize Li, Lihan Jiang, Guoliang Wang, Guyue Zhou, Shanghang Zhang, Hao Zhao

ICML 2023 Patch-Level Contrastive Learning via Positional Query for Visual Pre-Training Shaofeng Zhang, Qiang Zhou, Zhibin Wang, Fan Wang, Junchi Yan

AAAI 2023 Point-Teaching: Weakly Semi-Supervised Object Detection with Point Annotations Yongtao Ge, Qiang Zhou, Xinlong Wang, Chunhua Shen, Zhibin Wang, Hao Li

UAI 2022 Convergence Analysis of Linear Coupling with Inexact Proximal Operator Qiang Zhou, Sinno Jialin Pan

CVPR 2022 Delving Deep into the Generalization of Vision Transformers Under Distribution Shifts Chongzhi Zhang, Mingyuan Zhang, Shanghang Zhang, Daisheng Jin, Qiang Zhou, Zhongang Cai, Haiyu Zhao, Xianglong Liu, Ziwei Liu

ICLRW 2022 Fix Bugs with Transformer Through a Neural-Symbolic Edit Grammar Yaojie Hu, Xingjian Shi, Qiang Zhou, Lee Pike

JMLR 2022 On Acceleration for Convex Composite Minimization with Noise-Corrupted Gradients and Approximate Proximal Mapping Qiang Zhou, Sinno Jialin Pan

ICLRW 2022 On-the-Fly Discovery of Local Bugs Using Inconsistency Analysis Srinivasan H. Sengamedu, Qiang Zhou, Hangqi Zhao

ICCV 2021 CAPTRA: CAtegory-Level Pose Tracking for Rigid and Articulated Objects from Point Clouds Yijia Weng, He Wang, Qiang Zhou, Yuzhe Qin, Yueqi Duan, Qingnan Fan, Baoquan Chen, Hao Su, Leonidas J. Guibas

CVPR 2021 Human De-Occlusion: Invisible Perception and Recovery for Humans Qiang Zhou, Shiyin Wang, Yitong Wang, Zilong Huang, Xinggang Wang

CVPR 2021 Instant-Teaching: An End-to-End Semi-Supervised Object Detection Framework Qiang Zhou, Chaohui Yu, Zhibin Wang, Qi Qian, Hao Li

ICCVW 2021 LUAI Challenge 2021 on Learning to Understand Aerial Images Gui-Song Xia, Jian Ding, Ming Qian, Nan Xue, Jiaming Han, Xiang Bai, Michael Ying Yang, Shengyang Li, Serge J. Belongie, Jiebo Luo, Mihai Datcu, Marcello Pelillo, Liangpei Zhang, Qiang Zhou, Chao-hui Yu, Kaixuan Hu, Yingjia Bu, Wenming Tan, Zhe Yang, Wei Li, Shang Liu, Jiaxuan Zhao, Tianzhi Ma, Zi-han Gao, Lingqi Wang, Yi Zuo, Licheng Jiao, Chang Meng, Hao Wang, Jiahao Wang, Yiming Hui, Zhuojun Dong, Jie Zhang, Qianyue Bao, Zixiao Zhang, Fang Liu

AAAI 2021 Modeling Heterogeneous Relations Across Multiple Modes for Potential Crowd Flow Prediction Qiang Zhou, Jingjing Gu, Xinjiang Lu, Fuzhen Zhuang, Yanchao Zhao, Qiuhong Wang, Xiao Zhang

MLJ 2020 Communication-Efficient Distributed Multi-Task Learning with Matrix Sparsity Regularization Qiang Zhou, Yu Chen, Sinno Jialin Pan

ICCVW 2019 Motion-Guided Spatial Time Attention for Video Object Segmentation Qiang Zhou, Zilong Huang, Lichao Huang, Yongchao Gong, Han Shen, Wenyu Liu, Xinggang Wang

ICML 2015 Safe Subspace Screening for Nuclear Norm Regularized Least Squares Problems Qiang Zhou, Qi Zhao

ICCV 2013 Learning to Share Latent Tasks for Action Recognition Qiang Zhou, Gang Wang, Kui Jia, Qi Zhao

ECCV 2012 Atomic Action Features: A New Feature for Action Recognition Qiang Zhou, Gang Wang

ECCVW 2012 Atomic Action Features: A New Feature for Action Recognition Qiang Zhou, Gang Wang

ECCV 2012 Learning to Recognize Unsuccessful Activities Using a Two-Layer Latent Structural Model Qiang Zhou, Gang Wang