Recognition of virtual maze scene under simulated prosthetic vision. - Ying Zhao; Xiulin Geng; Qi Li; Guangqi Jiang (ICACI, 2018)

Attribute-guided Feature Learning Network for Vehicle Re-identification. - Huibing Wang; Jinjia Peng; Dongyan Chen; Guangqi Jiang; Tongtong Zhao; Xianping Fu (CoRR, 2020)

Attribute-Guided Feature Learning Network for Vehicle Reidentification. - Huibing Wang; Jinjia Peng; Dongyan Chen; Guangqi Jiang; Tongtong Zhao; Xianping Fu (IEEE Multim., 2020)

Learning Multiple Semantic Knowledge For Cross-Domain Unsupervised Vehicle Re-Identification. - Huibing Wang; Jinjia Peng; Guangqi Jiang; Xianping Fu (ICME, 2021)

MSAV: An Unified Framework for Multi-view Subspace Analysis with View Consistence. - Huibing Wang; Guangqi Jiang; Jinjia Peng; Xianping Fu (ICMR, 2021)

Graph-based Multi-view Binary Learning for image clustering. - Guangqi Jiang; Huibing Wang; Jinjia Peng; Dongyan Chen; Xianping Fu (Neurocomputing, 2021)

Discriminative feature and dictionary learning with part-aware model for vehicle re-identification. - Huibing Wang; Jinjia Peng; Guangqi Jiang; Fengqiang Xu; Xianping Fu (Neurocomputing, 2021)

Generalized multiple sparse information fusion for vehicle re-identification. - Jinjia Peng; Guangqi Jiang; Huibing Wang (J. Vis. Commun. Image Represent., 2021)

Parallelism Network with Partial-aware and Cross-correlated Transformer for Vehicle Re-identification. - Guangqi Jiang; Huibing Wang; Jinjia Peng; Xianping Fu (ICMR, 2022)

Learning latent features with local channel drop network for vehicle re-identification. - Xianping Fu; Jinjia Peng; Guangqi Jiang; Huibing Wang (Eng. Appl. Artif. Intell., 2022)

Reciprocal consistency graph learning by aligning multi-semantic spaces for multi-view clustering. - Guangqi Jiang; Huibing Wang; Xiaohong Yan; Huizhu Yan; Jinjia Peng; Xianping Fu (J. Electronic Imaging, 2022)

Cooperative Refinement Learning for domain adaptive person Re-identification. - Jinjia Peng; Guangqi Jiang; Huibing Wang (Knowl. Based Syst., 2022)

Eliminating cross-camera bias for vehicle re-identification. - Jinjia Peng; Guangqi Jiang; Dongyan Chen; Tongtong Zhao; Huibing Wang; Xianping Fu (Multim. Tools Appl., 2022)

A natural-based fusion strategy for underwater image enhancement. - Xiaohong Yan; Guangxin Wang; Guangqi Jiang; Yafei Wang 004; Zetian Mi; Xianping Fu (Multim. Tools Appl., 2022)

Conditional generative adversarial network with dual-branch progressive generator for underwater image enhancement. - Peng Lin; Yafei Wang 004; Guangyuan Wang; Xiaohong Yan; Guangqi Jiang; Xianping Fu (Signal Process. Image Commun., 2022)

Tensorial Multi-View Clustering via Low-Rank Constrained High-Order Graph Learning. - Guangqi Jiang; Jinjia Peng; Huibing Wang; Zetian Mi; Xianping Fu (IEEE Trans. Circuits Syst. Video Technol., 2022)

Graph-Collaborated Auto-Encoder Hashing for Multi-view Binary Clustering. - Huibing Wang; Mingze Yao; Guangqi Jiang; Zetian Mi; Xianping Fu (CoRR, 2023)

Towards Adaptive Consensus Graph: Multi-View Clustering via Graph Collaboration. - Huibing Wang; Guangqi Jiang; Jinjia Peng; Ruoxi Deng; Xianping Fu (IEEE Trans. Multim., 2023)

Learning interpretable shared space via rank constraint for multi-view clustering. - Guangqi Jiang; Huibing Wang; Jinjia Peng; Dongyan Chen; Xianping Fu (Appl. Intell., 2023)

Joint learning with diverse knowledge for re-identification. - Jinjia Peng; Jiazuo Yu; Guangqi Jiang; Huibing Wang; Jing Qi (Signal Process. Image Commun., 2023)

Adaptive Memorization With Group Labels for Unsupervised Person Re-Identification. - Jinjia Peng; Guangqi Jiang; Huibing Wang (IEEE Trans. Circuits Syst. Video Technol., 2023)

Diffusion Reward: Learning Rewards via Conditional Video Diffusion. - Tao Huang; Guangqi Jiang; Yanjie Ze; Huazhe Xu (ECCV (42), 2024)

Spatial-Frequency Integration Network with Dual Prompt Learning for Few-shot Image Classification. - Yi Liu; Jie He; Shoukun Xu; Guangqi Jiang (ISPA, 2024)

Pose Convolutional Routing Towards Lightweight Capsule Networks. - Chengxin Lv; Guangqi Jiang; Shoukun Xu; Yi Liu (ISPA, 2024)

Make-An-Agent: A Generalizable Policy Network Generator with Behavior-Prompted Diffusion. - Yongyuan Liang; Tingqiang Xu; Kaizhe Hu; Guangqi Jiang; Furong Huang; Huazhe Xu (NeurIPS, 2024)

Adaptive Unified Framework with Global Anchor Graph for Large-Scale Multi-view Clustering. - Lin Shi; Wangjie Chen; Yi Liu; Lihua Zhuang; Guangqi Jiang (PRCV (1), 2024)

RoboDuet: A Framework Affording Mobile-Manipulation and Cross-Embodiment. - Guoping Pan; Qingwei Ben; Zhecheng Yuan; Guangqi Jiang; Yandong Ji; Jiangmiao Pang; Houde Liu; Huazhe Xu (CoRR, 2024)

Graph-Collaborated Auto-Encoder Hashing for Multiview Binary Clustering. - Huibing Wang; Mingze Yao; Guangqi Jiang; Zetian Mi; Xianping Fu (IEEE Trans. Neural Networks Learn. Syst., 2024)

Robots Pre-train Robots: Manipulation-Centric Robotic Representation from Large-Scale Robot Datasets. - Guangqi Jiang; Yifei Sun; Tao Huang; Huanyu Li 010; Yongyuan Liang; Huazhe Xu (ICLR, 2025)

Deep Reinforcement Learning for Rechargeable AAV-Assisted Data Collection From Dense Mobile Sensor Nodes. - Shanshan Bai; Xueyuan Wang; Mustafa Cenk Gursoy; Guangqi Jiang; Shoukun Xu (IEEE Access, 2025)

Context-rich and partial-aware aggregation network for vehicle re-identification. - Guangqi Jiang; Mingze Yao; Wangjie Chen; Xueyuan Wang; Xianping Fu (J. Electronic Imaging, 2025)

Tensorial multiview low-rank high-order graph learning for context-enhanced domain adaptation. - Chenyang Zhu 001; Lanlan Zhang; Weibin Luo; Guangqi Jiang; Qian Wang 017 (Neural Networks, 2025)

MVG-FD: Multi-Modal Visual Guidance and Feature Decomposition for Underwater Image Restoration. - Guangqi Jiang; Ao Zhang; Yi Liu 038; Huibing Wang; Shoukun Xu (IEEE Signal Process. Lett., 2025)

RoboDuet: Learning a Cooperative Policy for Whole-Body Legged Loco-Manipulation. - Guoping Pan; Qingwei Ben; Zhecheng Yuan; Guangqi Jiang; Yandong Ji; Shoujie Li; Jiangmiao Pang; Houde Liu; Huazhe Xu (IEEE Robotics Autom. Lett., 2025)

Consensus guided incomplete multi-view clustering via geometric consistency learning. - Huibing Wang; Wei Wang; Mingze Yao; Yawei Chen; Jinjia Peng; Guangqi Jiang; Xianping Fu (Appl. Intell., 2025)