scRMD: imputation for single cell RNA-seq data via robust matrix decomposition. - Chong Chen 002; Changjing Wu; Linjie Wu; Xiaochen Wang; Minghua Deng; Ruibin Xi (Bioinform., 2020)

A Survey on Deep Hashing Methods. - Xiao Luo 001; Chong Chen 002; Huasong Zhong; Hao Zhang; Minghua Deng; Jianqiang Huang; Xiansheng Hua 001 (CoRR, 2020)

Deep Robust Clustering by Contrastive Learning. - Huasong Zhong; Chong Chen 002; Zhongming Jin 001; Xian-Sheng Hua 001 (CoRR, 2020)

CIMON: Towards High-quality Hash Codes. - Xiao Luo 001; Daqing Wu; Zeyu Ma 001; Chong Chen 002; Huasong Zhong; Minghua Deng; Jianqiang Huang; Xian-Sheng Hua 001 (CoRR, 2020)

Graph Contrastive Clustering. - Huasong Zhong; Jianlong Wu; Chong Chen 002; Jianqiang Huang; Minghua Deng; Liqiang Nie; Zhouchen Lin; Xian-Sheng Hua 001 (ICCV, 2021)

Composition-Enhanced Graph Collaborative Filtering for Multi-behavior Recommendation. - Daqing Wu; Xiao Luo 001; Zeyu Ma 001; Chong Chen 002; Pengfei Wang 008; Minghua Deng; Jinwen Ma (ICDM, 2021)

Deep Unsupervised Hashing by Distilled Smooth Guidance. - Xiao Luo 001; Zeyu Ma 001; Daqing Wu; Huasong Zhong; Chong Chen 002; Jinwen Ma; Minghua Deng (ICME, 2021)

Deep Unsupervised Hashing by Global and Local Consistency. - Xiao Luo 001; Daqing Wu; Chong Chen 002; Jinwen Ma; Minghua Deng (ICME, 2021)

Deep Supervised Hashing by Classification for Image Retrieval. - Xiao Luo 001; Yuhang Guo 002; Zeyu Ma 001; Huasong Zhong; Tao Li 040; Wei Ju 001; Chong Chen 002; Minghua Deng (ICONIP (4), 2021)

Concordant Contrastive Learning for Semi-supervised Node Classification on Graph. - Daqing Wu; Xiao Luo 001; Xiangyang Guo; Chong Chen 002; Minghua Deng; Jinwen Ma (ICONIP (1), 2021)

CIMON: Towards High-quality Hash Codes. - Xiao Luo 001; Daqing Wu; Zeyu Ma 001; Chong Chen 002; Minghua Deng; Jinwen Ma; Zhongming Jin 001; Jianqiang Huang; Xian-Sheng Hua 001 (IJCAI, 2021)

ARGO: Modeling Heterogeneity in E-commerce Recommendation. - Daqing Wu; Xiao Luo 001; Zeyu Ma 001; Chong Chen 002; Minghua Deng; Jinwen Ma (IJCNN, 2021)

A Statistical Approach to Mining Semantic Similarity for Deep Unsupervised Hashing. - Xiao Luo 001; Daqing Wu; Zeyu Ma 001; Chong Chen 002; Minghua Deng; Jianqiang Huang; Xian-Sheng Hua 001 (ACM Multimedia, 2021)

Discriminative-Generative Dual Memory Video Anomaly Detection. - Xin Guo 006; Zhongming Jin 001; Chong Chen 002; Helei Nie; Jianqiang Huang; Deng Cai 001; Xiaofei He 001; Xiansheng Hua 001 (CoRR, 2021)

Criterion-based Heterogeneous Collaborative Filtering for Multi-behavior Implicit Recommendation. - Xiao Luo 001; Daqing Wu; Chong Chen 002; Jinwen Ma; Minghua Deng; Chen Shen 003; Jianqiang Huang; Xian-Sheng Hua 001 (CoRR, 2021)

Density-Based Clustering with Kernel Diffusion. - Chao Zheng; Yingjie Chen; Chong Chen 002; Jianqiang Huang; Xian-Sheng Hua 001 (CoRR, 2021)

On Mitigating Hard Clusters for Face Clustering. - Yingjie Chen; Huasong Zhong; Chong Chen 002; Chen Shen 003; Jianqiang Huang; Tao Wang 004; Yun Liang 001; Qianru Sun (ECCV (12), 2022)

DHWP: Learning High-Quality Short Hash Codes Via Weight Pruning. - Zeyu Ma 001; Yuhang Guo 002; Xiao Luo 001; Chong Chen 002; Minghua Deng; Wei Cheng 002; Guangming Lu 002 (ICASSP, 2022)

DualGraph: Improving Semi-supervised Graph Classification via Dual Contrastive Learning. - Xiao Luo 001; Wei Ju 001; Meng Qu; Chong Chen 002; Minghua Deng; Xian-Sheng Hua 001; Ming Zhang 004 (ICDE, 2022)

Dynamic Hypergraph Convolutional Network. - Nan Yin; Fuli Feng; Zhigang Luo; Xiang Zhang 008; Wenjie Wang 007; Xiao Luo 001; Chong Chen 002; Xian-Sheng Hua 001 (ICDE, 2022)

TGNN: A Joint Semi-supervised Framework for Graph-level Classification. - Wei Ju 001; Xiao Luo 001; Meng Qu; Yifan Wang 014; Chong Chen 002; Minghua Deng; Xian-Sheng Hua 001; Ming Zhang 004 (IJCAI, 2022)

Pursuing Knowledge Consistency: Supervised Hierarchical Contrastive Learning for Facial Action Unit Recognition. - Yingjie Chen; Chong Chen 002; Xiao Luo 001; Jianqiang Huang; Xian-Sheng Hua 001; Tao Wang 004; Yun Liang 001 (ACM Multimedia, 2022)

Improved Deep Unsupervised Hashing via Prototypical Learning. - Zeyu Ma 001; Wei Ju 001; Xiao Luo 001; Chong Chen 002; Xian-Sheng Hua 001; Guangming Lu 002 (ACM Multimedia, 2022)

HEART: Towards Effective Hash Codes under Label Noise. - Jinan Sun; Haixin Wang 003; Xiao Luo 001; Shikun Zhang; Wei Xiang; Chong Chen 002; Xian-Sheng Hua 001 (ACM Multimedia, 2022)

DEAL: An Unsupervised Domain Adaptive Framework for Graph-level Classification. - Nan Yin; Li Shen 008; Baopu Li; Mengzhu Wang; Xiao Luo 001; Chong Chen 002; Zhigang Luo; Xian-Sheng Hua 001 (ACM Multimedia, 2022)

Prototypical Mixing and Retrieval-based Refinement for Label Noise-resistant Image Retrieval. - Xinlong Yang; Haixin Wang 003; Jinan Sun; Shikun Zhang; Chong Chen 002; Xian-Sheng Hua 001; Xiao Luo 001 (ICCV, 2023)

Dynamic Hypergraph Structure Learning for Traffic Flow Forecasting. - Yusheng Zhao; Xiao Luo 001; Wei Ju 001; Chong Chen 002; Xian-Sheng Hua 001; Ming Zhang 004 (ICDE, 2023)

CoCo: A Coupled Contrastive Framework for Unsupervised Domain Adaptive Graph Classification. - Nan Yin; Li Shen 008; Mengzhu Wang; Long Lan; Zeyu Ma 001; Chong Chen 002; Xian-Sheng Hua 001; Xiao Luo 001 (ICML, 2023)

IDEA: An Invariant Perspective for Efficient Domain Adaptive Image Retrieval. - Haixin Wang 003; Hao Wu 094; Jinan Sun; Shikun Zhang; Chong Chen 002; Xian-Sheng Hua 001; Xiao Luo 001 (NeurIPS, 2023)

DANCE: Learning A Domain Adaptive Framework for Deep Hashing. - Haixin Wang 003; Jinan Sun; Xiang Wei; Shikun Zhang; Chong Chen 002; Xian-Sheng Hua 001; Xiao Luo 001 (WWW, 2023)

PastNet: Introducing Physical Inductive Biases for Spatio-temporal Video Prediction. - Hao Wu 094; Wei Xiong 008; Fan Xu 009; Xiao Luo 001; Chong Chen 002; Xian-Sheng Hua 001; Haixin Wang 003 (CoRR, 2023)

Preliminary Study on Incremental Learning for Large Language Model-based Recommender Systems. - Tianhao Shi; Yang Zhang 072; Zhijian Xu; Chong Chen 002; Fuli Feng; Xiangnan He 001; Qi Tian 001 (CoRR, 2023)

Toward Effective Domain Adaptive Retrieval. - Haixin Wang 003; Jinan Sun; Xiao Luo 001; Wei Xiang; Shikun Zhang; Chong Chen 002; Xian-Sheng Hua 001 (IEEE Trans. Image Process., 2023)

A Survey on Deep Hashing Methods. - Xiao Luo 001; Haixin Wang 003; Daqing Wu; Chong Chen 002; Minghua Deng; Jianqiang Huang; Xian-Sheng Hua 001 (ACM Trans. Knowl. Discov. Data, 2023)

Fine-grained Prototypical Voting with Heterogeneous Mixup for Semi-supervised 2D-3D Cross-modal Retrieval. - Fan Zhang 111; Xian-Sheng Hua 001; Chong Chen 002; Xiao Luo 001 (CVPR, 2024)

Prometheus: Out-of-distribution Fluid Dynamics Modeling with Disentangled Graph ODE. - Hao Wu 094; Huiyuan Wang; Kun Wang 039; Weiyan Wang; Changan Ye; Yangyu Tao; Chong Chen 002; Xian-Sheng Hua 001; Xiao Luo 001 (ICML, 2024)

PastNet: Introducing Physical Inductive Biases for Spatio-temporal Video Prediction. - Hao Wu 094; Fan Xu 009; Chong Chen 002; Xian-Sheng Hua 001; Xiao Luo 001; Haixin Wang 003 (ACM Multimedia, 2024)

DEMO: A Statistical Perspective for Efficient Image-Text Matching. - Fan Zhang 111; Xian-Sheng Hua 001; Chong Chen 002; Xiao Luo 001 (NAACL-HLT, 2024)

PURE: Prompt Evolution with Graph ODE for Out-of-distribution Fluid Dynamics Modeling. - Hao Wu 094; Changhu Wang; Fan Xu 009; Jinbao Xue; Chong Chen 002; Xian-Sheng Hua 001; Xiao Luo 001 (NeurIPS, 2024)

Semi-supervised Knowledge Transfer Across Multi-omic Single-cell Data. - Fan Zhang 111; Tianyu Liu 001; Zihao Chen; Xiaojiang Peng; Chong Chen 002; Xian-Sheng Hua 001; Xiao Luo 001; Hongyu Zhao 003 (NeurIPS, 2024)

Unveiling Delay Effects in Traffic Forecasting: A Perspective from Spatial-Temporal Delay Differential Equations. - Qingqing Long; Zheng Fang 007; Chen Fang; Chong Chen 002; Pengfei Wang 008; Yuanchun Zhou (WWW, 2024)

ROSE: Relational and Prototypical Structure Learning for Universal Domain Adaptive Hashing. - Xinlong Yang; Haixin Wang 003; Jinan Sun; Yijia Xiao; Wei Xiang; Chong Chen 002; Xian-Sheng Hua 001; Xiao Luo 001 (IEEE Trans. Inf. Forensics Secur., 2024)

FATE: Learning Effective Binary Descriptors With Group Fairness. - Fan Zhang 111; Chong Chen 002; Xian-Sheng Hua 001; Xiao Luo 001 (IEEE Trans. Image Process., 2024)

Discrepancy and Structure-Based Contrast for Test-Time Adaptive Retrieval. - Zeyu Ma 001; Yuqi Li; Yizhi Luo; Xiao Luo 001; Jinxing Li; Chong Chen 002; Xian-Sheng Hua 001; Guangming Lu 002 (IEEE Trans. Multim., 2024)

Criterion-based Heterogeneous Collaborative Filtering for Multi-behavior Implicit Recommendation. - Xiao Luo 001; Daqing Wu; Yiyang Gu; Chong Chen 002; Luchen Liu; Jinwen Ma; Ming Zhang 004; Minghua Deng; Jianqiang Huang; Xian-Sheng Hua 001 (ACM Trans. Knowl. Discov. Data, 2024)

CLEAR: Cluster-Enhanced Contrast for Self-Supervised Graph Representation Learning. - Xiao Luo 001; Wei Ju 001; Meng Qu; Yiyang Gu; Chong Chen 002; Minghua Deng; Xian-Sheng Hua 001; Ming Zhang 004 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Messages are Never Propagated Alone: Collaborative Hypergraph Neural Network for Time-Series Forecasting. - Nan Yin; Li Shen 008; Huan Xiong; Bin Gu 001; Chong Chen 002; Xian-Sheng Hua 001; Siwei Liu 001; Xiao Luo 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

DIOR: Learning to Hash With Label Noise Via Dual Partition and Contrastive Learning. - Haixin Wang 003; Huiyu Jiang; Jinan Sun; Shikun Zhang; Chong Chen 002; Xian-Sheng Hua 001; Xiao Luo 001 (IEEE Trans. Knowl. Data Eng., 2024)

HARR: Learning Discriminative and High-Quality Hash Codes for Image Retrieval. - Zeyu Ma 001; Siwei Wang 010; Xiao Luo 001; Zhonghui Gu; Chong Chen 002; Jinxing Li; Xian-Sheng Hua 001; Guangming Lu 002 (ACM Trans. Multim. Comput. Commun. Appl., 2024)

Deep Adaptive Graph Clustering via von Mises-Fisher Distributions. - Pengfei Wang 008; Daqing Wu; Chong Chen 002; Kunpeng Liu 001; Yanjie Fu; Jianqiang Huang; Yuanchun Zhou; Jianfeng Zhan; Xiansheng Hua 001 (ACM Trans. Web, 2024)

SPORT: A Subgraph Perspective on Graph Classification with Label Noise. - Nan Yin; Li Shen 008; Chong Chen 002; XianSheng Hua 001; Xiao Luo 001 (ACM Trans. Knowl. Discov. Data, 2024)

HOPE: A Hierarchical Perspective for Semi-Supervised 2D-3D Cross-Modal Retrieval. - Fan Zhang 111; Hang Zhou 008; Xian-Sheng Hua 001; Chong Chen 002; Xiao Luo 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Look Into Gradients: Learning Compact Hash Codes for Out-of-Distribution Retrieval. - Haixin Wang 003; Xinlong Yang; Jinan Sun; Shikun Zhang; Chong Chen 002; XianSheng Hua 001; Xiao Luo 001 (IEEE Trans. Knowl. Data Eng., 2024)

DREAM: Decoupled Discriminative Learning with Bigraph-aware Alignment for Semi-supervised 2D-3D Cross-modal Retrieval. - Fan Zhang 111; Changhu Wang; Zebang Cheng; Xiaojiang Peng; Dongjie Wang; Yijia Xiao; Chong Chen 002; Xian-Sheng Hua 001; Xiao Luo 001 (AAAI, 2025)

scRAG: Hybrid Retrieval-Augmented Generation for LLM-based Cross-Tissue Single-Cell Annotation. - Zhiyin Yu; Chao Zheng; Chong Chen 002; Xian-Sheng Hua 001; Xiao Luo 001 (ACL (Findings), 2025)

MegaSR: Mining Customized Semantics and Expressive Guidance for Image Super-Resolution. - Xinrui Li; Jianlong Wu; Xinchuan Huang; Chong Chen 002; Weili Guan; Xian-Sheng Hua 001; Liqiang Nie (CoRR, 2025)

DisenSemi: Semi-Supervised Graph Classification via Disentangled Representation Learning. - Yifan Wang 014; Xiao Luo 001; Chong Chen 002; Xian-Sheng Hua 001; Ming Zhang 004; Wei Ju 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)

Deep cut-informed graph embedding and clustering. - Zhiyuan Ning; Zaitian Wang; Ran Zhang 008; Ping Xu; Kunpeng Liu 001; Pengyang Wang; Wei Ju 001; Pengfei Wang 008; Yuanchun Zhou; Erik Cambria; Chong Chen 002 (Inf. Fusion, 2026)