Expectation pooling: an effective and interpretable pooling method for predicting DNA-protein binding. - Xiao Luo 001; Xinming Tu; Yang Ding; Ge Gao; Minghua Deng (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)

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)

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)

DNA-GCN: Graph Convolutional Networks for Predicting DNA-Protein Binding. - Yuhang Guo 002; Xiao Luo 001; Liang Chen; Minghua Deng (ICIC (3), 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)

Average Mean Functions Based EM Algorithm for Mixtures of Gaussian Processes. - Tao Li 040; Xiao Luo 001; Jinwen Ma (ICONIP (5), 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)

An Interpretation of Convolutional Neural Networks for Motif Finding from the View of Probability. - Weinan Wang; Yuhang Guo 002; Wei Ju 001; Xiao Luo 001; Minghua Deng (ICTAI, 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)

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)

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)

Attention-based Adversarial Partial Domain Adaptation. - Mengzhu Wang; Shan An; Xiao Luo 001; Xiong Peng; Wei Yu 029; Junyang Chen 001; Zhigang Luo (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)

Kernel-based Substructure Exploration for Next POI Recommendation. - Wei Ju 001; Yifang Qin; Ziyue Qiao; Xiao Luo 001; Yifan Wang 014; Yanjie Fu; Ming Zhang 004 (ICDM, 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)

Improved Deep Unsupervised Hashing with Fine-grained Semantic Similarity Mining for Multi-Label Image Retrieval. - Zeyu Ma 001; Xiao Luo 001; Yingjie Chen; Mixiao Hou; Jinxing Li; Minghua Deng; Guangming Lu 002 (IJCAI, 2022)

Adaptive Harmony Learning and Optimization for Attributed Graph Clustering. - Daqing Wu; Xiangyang Guo; Xiao Luo 001; Ziyue Qiao; Jinwen Ma (IJCNN, 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)

Expediting Large-Scale Vision Transformer for Dense Prediction without Fine-tuning. - Weicong Liang; Yuhui Yuan; Henghui Ding; Xiao Luo 001; Weihong Lin; Ding Jia; Zheng Zhang 022; Chao Zhang 001; Han Hu 001 (NeurIPS, 2022)

GHNN: Graph Harmonic Neural Networks for semi-supervised graph-level classification. - Wei Ju 001; Xiao Luo 001; Zeyu Ma 001; Junwei Yang; Minghua Deng; Ming Zhang 004 (Neural Networks, 2022)

Improve Deep Unsupervised Hashing via Structural and Intrinsic Similarity Learning. - Xiao Luo 001; Zeyu Ma 001; Wei Cheng 002; Minghua Deng (IEEE Signal Process. Lett., 2022)

GLCC: A General Framework for Graph-Level Clustering. - Wei Ju 001; Yiyang Gu; Binqi Chen; Gongbo Sun; Yifang Qin; Xingyuming Liu; Xiao Luo 001; Ming Zhang 004 (AAAI, 2023)

Learning on Graphs under Label Noise. - Jingyang Yuan; Xiao Luo 001; Yifang Qin; Yusheng Zhao; Wei Ju 001; Ming Zhang 004 (ICASSP, 2023)

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)

HOPE: High-order Graph ODE For Modeling Interacting Dynamics. - Xiao Luo 001; Jingyang Yuan; Zijie Huang 002; Huiyu Jiang; Yifang Qin; Wei Ju 001; Ming Zhang 004; Yizhou Sun (ICML, 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)

Semi-supervised Domain Adaptation in Graph Transfer Learning. - Ziyue Qiao; Xiao Luo 001; Meng Xiao 001; Hao Dong 010; Yuanchun Zhou; Hui Xiong 001 (IJCAI, 2023)

CF-GODE: Continuous-Time Causal Inference for Multi-Agent Dynamical Systems. - Song Jiang 002; Zijie Huang 002; Xiao Luo 001; Yizhou Sun (KDD, 2023)

RAHNet: Retrieval Augmented Hybrid Network for Long-tailed Graph Classification. - Zhengyang Mao; Wei Ju 001; Yifang Qin; Xiao Luo 001; Ming Zhang 004 (ACM Multimedia, 2023)

ALEX: Towards Effective Graph Transfer Learning with Noisy Labels. - Jingyang Yuan; Xiao Luo 001; Yifang Qin; Zhengyang Mao; Wei Ju 001; Ming Zhang 004 (ACM Multimedia, 2023)

CARE: Modeling Interacting Dynamics Under Temporal Environmental Variation. - Xiao Luo 001; Haixin Wang 003; Zijie Huang 002; Huiyu Jiang; Abhijeet Gangan; Song Jiang 002; Yizhou Sun (NeurIPS, 2023)

Parameter-efficient Tuning of Large-scale Multimodal Foundation Model. - Haixin Wang 003; Xinlong Yang; Jianlong Chang; Dian Jin 004; Jinan Sun; Shikun Zhang; Xiao Luo 001; Qi Tian 001 (NeurIPS, 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)

LION: Implicit Vision Prompt Tuning. - Haixin Wang 003; Jianlong Chang; Xiao Luo 001; Jinan Sun; Zhouchen Lin; Qi Tian 001 (CoRR, 2023)

A Comprehensive Survey on Deep Graph Representation Learning. - Wei Ju 001; Zheng Fang 007; Yiyang Gu; Zequn Liu; Qingqing Long; Ziyue Qiao; Yifang Qin; Jianhao Shen; Fang Sun; Zhiping Xiao 001; Junwei Yang; Jingyang Yuan; et al. (CoRR, 2023)

Mode Approximation Makes Good Multimodal Prompts. - Haixin Wang 003; Xinlong Yang; Jianlong Chang; Dian Jin 004; Jinan Sun; Shikun Zhang; Xiao Luo 001; Qi Tian 001 (CoRR, 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)

Towards Long-Tailed Recognition for Graph Classification via Collaborative Experts. - Siyu Yi; Zhengyang Mao; Wei Ju 001; Yongdao Zhou; Luchen Liu; Xiao Luo 001; Ming Zhang 004 (CoRR, 2023)

Large Language Models Can Be Good Privacy Protection Learners. - Yijia Xiao; Yiqiao Jin; Yushi Bai; Yue Wu; Xianjun Yang; Xiao Luo 001; Wenchao Yu; Xujiang Zhao; Yanchi Liu; Haifeng Chen; Wei Wang 010; Wei Cheng 002 (CoRR, 2023)

TANGO: Time-Reversal Latent GraphODE for Multi-Agent Dynamical Systems. - Zijie Huang 002; Wanjia Zhao; Jingdong Gao; Ziniu Hu; Xiao Luo 001; Yadi Cao; Yuanzhou Chen; Yizhou Sun; Wei Wang 010 (CoRR, 2023)

Graph ODE with Factorized Prototypes for Modeling Complicated Interacting Dynamics. - Xiao Luo 001; Yiyang Gu; Huiyu Jiang; Jinsheng Huang; Wei Ju 001; Ming Zhang 004; Yizhou Sun (CoRR, 2023)

Few-shot Molecular Property Prediction via Hierarchically Structured Learning on Relation Graphs. - Wei Ju 001; Zequn Liu; Yifang Qin; Bin Feng; Chen Wang; Zhihui Guo; Xiao Luo 001; Ming Zhang 004 (Neural Networks, 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)

RIGNN: A Rationale Perspective for Semi-supervised Open-world Graph Classification. - Xiao Luo 001; Yusheng Zhao; Zhengyang Mao; Yifang Qin; Wei Ju 001; Ming Zhang 004; Yizhou Sun (Trans. Mach. Learn. Res., 2023)

Zero-shot Node Classification with Graph Contrastive Embedding Network. - Wei Ju 001; Yifang Qin; Siyu Yi; Zhengyang Mao; Kangjie Zheng; Luchen Liu; Xiao Luo 001; Ming Zhang 004 (Trans. Mach. Learn. Res., 2023)

Unsupervised graph-level representation learning with hierarchical contrasts. - Wei Ju 001; Yiyang Gu; Xiao Luo 001; Yifan Wang 014; Haochen Yuan; Huasong Zhong; Ming Zhang 004 (Neural Networks, 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)

Towards Long-Tailed Recognition for Graph Classification via Collaborative Experts. - Siyu Yi; Zhengyang Mao; Wei Ju 001; Yong-Dao Zhou; Luchen Liu; Xiao Luo 001; Ming Zhang 004 (IEEE Trans. Big Data, 2023)

OMG: Towards Effective Graph Classification Against Label Noise. - Nan Yin; Li Shen 008; Mengzhu Wang; Xiao Luo 001; Zhigang Luo; Dacheng Tao (IEEE Trans. Knowl. Data Eng., 2023)

LION: Implicit Vision Prompt Tuning. - Haixin Wang 003; Jianlong Chang; Yihang Zhai; Xiao Luo 001; Jinan Sun; Zhouchen Lin; Qi Tian 001 (AAAI, 2024)

FUSE: Measure-Theoretic Compact Fuzzy Set Representation for Taxonomy Expansion. - Fred Xu; Song Jiang 002; Zijie Huang 002; Xiao Luo 001; Shichang Zhang; Yuanzhou Chen; Yizhou Sun (ACL (Findings), 2024)

PIXEL: Prompt-based Zero-shot Hashing via Visual and Textual Semantic Alignment. - Zeyu Dong; Qingqing Long; Yihang Zhou; Pengfei Wang 008; Zhihong Zhu; Xiao Luo 001; Yidong Wang; Pengyang Wang; Yuanchun Zhou (CIKM, 2024)

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)

Geneverse: A Collection of Open-source Multimodal Large Language Models for Genomic and Proteomic Research. - Tianyu Liu 001; Yijia Xiao; Xiao Luo 001; Hua Xu 001; Wenjin Jim Zheng; Hongyu Zhao 003 (EMNLP (Findings), 2024)

Large Language Models Can Be Contextual Privacy Protection Learners. - Yijia Xiao; Yiqiao Jin; Yushi Bai; Yue Wu; Xianjun Yang; Xiao Luo 001; Wenchao Yu; Xujiang Zhao; Yanchi Liu; Quanquan Gu; Haifeng Chen; Wei Wang 010; et al. (EMNLP, 2024)

Multi- View Teacher with Curriculum Data Fusion for Robust Unsupervised Domain Adaptation. - Yuhao Tang; Junyu Luo 002; Ling Yang 006; Xiao Luo 001; Wentao Zhang 001; Bin Cui 001 (ICDE, 2024)

DREAM: Dual Structured Exploration with Mixup for Open-set Graph Domain Adaption. - Nan Yin; Mengzhu Wang; Zhenghan Chen; Li Shen 008; Huan Xiong; Bin Gu 001; Xiao Luo 001 (ICLR, 2024)

PGODE: Towards High-quality System Dynamics Modeling. - Xiao Luo 001; Yiyang Gu; Huiyu Jiang; Hang Zhou 008; Jinsheng Huang; Wei Ju 001; Zhiping Xiao 001; Ming Zhang 004; Yizhou Sun (ICML, 2024)

Hypergraph-enhanced Dual Semi-supervised Graph Classification. - Wei Ju 001; Zhengyang Mao; Siyu Yi; Yifang Qin; Yiyang Gu; Zhiping Xiao 001; Yifan Wang 014; Xiao Luo 001; Ming Zhang 004 (ICML, 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)

Rank and Align: Towards Effective Source-free Graph Domain Adaptation. - Junyu Luo 002; Zhiping Xiao 001; Yifan Wang 014; Xiao Luo 001; Jingyang Yuan; Wei Ju 001; Langechuan Liu; Ming Zhang 004 (IJCAI, 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)

Physics-Informed Regularization for Domain-Agnostic Dynamical System Modeling. - Zijie Huang 002; Wanjia Zhao; Jingdong Gao; Ziniu Hu; Xiao Luo 001; Yadi Cao; Yuanzhou Chen; Yizhou Sun; Wei Wang 010 (NeurIPS, 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)

EGODE: An Event-attended Graph ODE Framework for Modeling Rigid Dynamics. - Jingyang Yuan; Gongbo Sun; Zhiping Xiao 001; Hang Zhou 008; Xiao Luo 001; Junyu Luo 002; Yusheng Zhao; Wei Ju 001; Ming Zhang 004 (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)

Fast Inference of Removal-Based Node Influence. - Weikai Li 002; Zhiping Xiao 001; Xiao Luo 001; Yizhou Sun (WWW, 2024)

A Survey on Graph Neural Networks in Intelligent Transportation Systems. - Hourun Li; Yusheng Zhao; Zhengyang Mao; Yifang Qin; Zhiping Xiao 001; Jiaqi Feng; Yiyang Gu; Wei Ju 001; Xiao Luo 001; Ming Zhang 004 (CoRR, 2024)

PolyCF: Towards the Optimal Spectral Graph Filters for Collaborative Filtering. - Yifang Qin; Wei Ju 001; Xiao Luo 001; Yiyang Gu; Zhiping Xiao 001; Ming Zhang 004 (CoRR, 2024)

An Evaluation of Large Language Models in Bioinformatics Research. - Hengchuang Yin; Zhonghui Gu; Fanhao Wang; Yiparemu Abuduhaibaier; Yanqiao Zhu 001; Xinming Tu; Xian-Sheng Hua 001; Xiao Luo 001; Yizhou Sun (CoRR, 2024)

COMAE: COMprehensive Attribute Exploration for Zero-shot Hashing. - Yihang Zhou; Qingqing Long; Yuchen Yan; Xiao Luo 001; Zeyu Dong; Xuezhi Wang 004; Zhen Meng; Pengfei Wang 008; Yuanchun Zhou (CoRR, 2024)

A Survey of Graph Neural Networks in Real world: Imbalance, Noise, Privacy and OOD Challenges. - Wei Ju 001; Siyu Yi; Yifan Wang 014; Zhiping Xiao 001; Zhengyang Mao; Hourun Li; Yiyang Gu; Yifang Qin; Nan Yin; Senzhang Wang; Xinwang Liu 002; Xiao Luo 001; et al. (CoRR, 2024)

Towards Graph Contrastive Learning: A Survey and Beyond. - Wei Ju 001; Yifan Wang 014; Yifang Qin; Zhengyang Mao; Zhiping Xiao 001; Junyu Luo 002; Junwei Yang; Yiyang Gu; Dongjie Wang; Qingqing Long; Siyu Yi; Xiao Luo 001; et al. (CoRR, 2024)

A Comprehensive Graph Pooling Benchmark: Effectiveness, Robustness and Generalizability. - Pengyun Wang; Junyu Luo 002; Yanxin Shen; Siyu Heng; Xiao Luo 001 (CoRR, 2024)

Recent Advances on Machine Learning for Computational Fluid Dynamics: A Survey. - Haixin Wang 003; Yadi Cao; Zijie Huang 002; Yuxuan Liu; Peiyan Hu; Xiao Luo 001; Zezheng Song; Wanjia Zhao; Jilin Liu; Jinan Sun; Shikun Zhang; Long Wei; et al. (CoRR, 2024)

DELTA: Dual Consistency Delving with Topological Uncertainty for Active Graph Domain Adaptation. - Pengyun Wang; Yadi Cao; Chris Russell 001; Siyu Heng; Junyu Luo 002; Yanxin Shen; Xiao Luo 001 (CoRR, 2024)

SemiEvol: Semi-supervised Fine-tuning for LLM Adaptation. - Junyu Luo 002; Xiao Luo 001; Xiusi Chen; Zhiping Xiao 001; Wei Ju 001; Ming Zhang 004 (CoRR, 2024)

Graph Fourier Neural ODEs: Bridging Spatial and Temporal Multiscales in Molecular Dynamics. - Fang Sun; Zijie Huang 002; Haixin Wang 003; Yadi Cao; Xiao Luo 001; Wei Wang 010; Yizhou Sun (CoRR, 2024)

RobustFT: Robust Supervised Fine-tuning for Large Language Models under Noisy Response. - Junyu Luo 002; Xiao Luo 001; Kaize Ding; Jingyang Yuan; Zhiping Xiao 001; Ming Zhang 004 (CoRR, 2024)

COOL: A Conjoint Perspective on Spatio-Temporal Graph Neural Network for Traffic Forecasting. - Wei Ju 001; Yusheng Zhao; Yifang Qin; Siyu Yi; Jingyang Yuan; Zhiping Xiao 001; Xiao Luo 001; Xiting Yan; Ming Zhang 004 (Inf. Fusion, 2024)

A Comprehensive Survey on Deep Graph Representation Learning. - Wei Ju 001; Zheng Fang 007; Yiyang Gu; Zequn Liu; Qingqing Long; Ziyue Qiao; Yifang Qin; Jianhao Shen; Fang Sun; Zhiping Xiao 001; Junwei Yang; Jingyang Yuan; et al. (Neural Networks, 2024)

Focus on informative graphs! Semi-supervised active learning for graph-level classification. - Wei Ju 001; Zhengyang Mao; Ziyue Qiao; Yifang Qin; Siyu Yi; Zhiping Xiao 001; Xiao Luo 001; Yanjie Fu; Ming Zhang 004 (Pattern Recognit., 2024)

Information filtering and interpolating for semi-supervised graph domain adaptation. - Ziyue Qiao; Meng Xiao 001; Weiyu Guo; Xiao Luo 001; Hui Xiong 001 (Pattern Recognit., 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)

Towards Semi-Supervised Universal Graph Classification. - Xiao Luo 001; Yusheng Zhao; Yifang Qin; Wei Ju 001; Ming Zhang 004 (IEEE Trans. Knowl. Data Eng., 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)

Self-supervised Graph-level Representation Learning with Adversarial Contrastive Learning. - Xiao Luo 001; Wei Ju 001; Yiyang Gu; Zhengyang Mao; Luchen Liu; Yuhui Yuan; Ming Zhang 004 (ACM Trans. Knowl. Discov. Data, 2024)

A Diffusion Model for POI Recommendation. - Yifang Qin; Hongjun Wu 006; Wei Ju 001; Xiao Luo 001; Ming Zhang 004 (ACM Trans. Inf. Syst., 2024)

Toward Effective Semi-supervised Node Classification with Hybrid Curriculum Pseudo-labeling. - Xiao Luo 001; Wei Ju 001; Yiyang Gu; Yifang Qin; Siyu Yi; Daqing Wu; Luchen Liu; Ming Zhang 004 (ACM Trans. Multim. Comput. Commun. Appl., 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)

Learning Graph ODE for Continuous-Time Sequential Recommendation. - Yifang Qin; Wei Ju 001; Hongjun Wu 006; Xiao Luo 001; Ming Zhang 004 (IEEE Trans. Knowl. Data Eng., 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)

GALA: Graph Diffusion-Based Alignment With Jigsaw for Source-Free Domain Adaptation. - Junyu Luo 002; Yiyang Gu; Xiao Luo 001; Wei Ju 001; Zhiping Xiao 001; Yusheng Zhao; Jingyang Yuan; Ming Zhang 004 (IEEE Trans. Pattern Anal. Mach. Intell., 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)

Redundancy-Free Self-Supervised Relational Learning for Graph Clustering. - Siyu Yi; Wei Ju 001; Yifang Qin; Xiao Luo 001; Luchen Liu; Yong-Dao Zhou; Ming Zhang 004 (IEEE Trans. Neural Networks Learn. Syst., 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)

Attention Bootstrapping for Multi-Modal Test-Time Adaptation. - Yusheng Zhao; Junyu Luo 002; Xiao Luo 001; Jinsheng Huang; Jingyang Yuan; Zhiping Xiao 001; Ming Zhang 004 (AAAI, 2025)

TRACI: A Data-centric Approach for Multi-Domain Generalization on Graphs. - Yusheng Zhao; Changhu Wang; Xiao Luo 001; Junyu Luo 002; Wei Ju 001; Zhiping Xiao 001; Ming Zhang 004 (AAAI, 2025)

FinMME: Benchmark Dataset for Financial Multi-Modal Reasoning Evaluation. - Junyu Luo 002; Zhizhuo Kou; Liming Yang; Xiao Luo 001; Jinsheng Huang; Zhiping Xiao 001; Jingshu Peng; Chengzhong Liu; Jiaming Ji; Xuanzhe Liu; Sirui Han; Ming Zhang 004; et al. (ACL (1), 2025)

MARK: Multi-agent Collaboration with Ranking Guidance for Text-attributed Graph Clustering. - Yiwei Fu; Yuxing Zhang; Chunchun Chen; JianwenMa JianwenMa; Quan Yuan; Rong-Cheng Tu; Xinli Huang; Wei Ye; Xiao Luo 001; Minghua Deng (ACL (Findings), 2025)

A Survey on Efficient Large Language Model Training: From Data-centric Perspectives. - Junyu Luo 002; Bohan Wu; Xiao Luo 001; Zhiping Xiao 001; Yiqiao Jin; Rong-Cheng Tu; Nan Yin; Yifan Wang 014; Jingyang Yuan; Wei Ju 001; Ming Zhang 004 (ACL (1), 2025)

Identifying Cellular Niches in Spatial Transcriptomics: An Investigation into the Capabilities of Large Language Models. - Huanhuan Wei; Xiao Luo 001; Hongyi Yu; Jinping Liang; Luning Yang; Lixing Lin; Alexandra Popa; Xiting Yan (ACL (1), 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)

Embracing Large Language Models in Traffic Flow Forecasting. - Yusheng Zhao; Xiao Luo 001; Haomin Wen; Zhiping Xiao 001; Wei Ju 001; Ming Zhang 004 (ACL (Findings), 2025)

Towards Continuous Reuse of Graph Models via Holistic Memory Diversification. - Ziyue Qiao; Junren Xiao; Qingqiang Sun; Meng Xiao 001; Xiao Luo 001; Hui Xiong 001 (ICLR, 2025)

Future Matters for Present: Towards Effective Physical Simulation over Meshes. - Xiao Luo 001; Junyu Luo 002; Huiyu Jiang; Hang Zhou 008; Zhiping Xiao 001; Wei Ju 001; Carl Ji Yang; Ming Zhang 004; Yizhou Sun (KDD (1), 2025)

How Do Large Language Models Perform in Dynamical System Modeling. - Xiao Luo 001; Binqi Chen; Haixin Wang 003; Zhiping Xiao 001; Ming Zhang 004; Yizhou Sun (NAACL (Findings), 2025)

Semi-supervised Fine-tuning for Large Language Models. - Junyu Luo 002; Xiao Luo 001; Xiusi Chen; Zhiping Xiao 001; Wei Ju 001; Ming Zhang 004 (NAACL (Findings), 2025)

Learning Resistant Binary Descriptors Against Noise for Efficient Image Retrieval. - Qingqing Long; Haixin Wang 003; Jinan Sun; Wei Xiang; Yijia Xiao; Yusheng Zhao; Xiao Luo 001 (SIGIR, 2025)

MATE: Masked optimal transport with dynamic selection for partial label graph learning. - Yiyang Gu; Binqi Chen; Zihao Chen; Ziyue Qiao; Xiao Luo 001; Junyu Luo 002; Zhiping Xiao 001; Wei Ju 001; Ming Zhang 004 (Artif. Intell., 2025)

GPS: graph contrastive learning via multi-scale augmented views from adversarial pooling. - Wei Ju 001; Yiyang Gu; Zhengyang Mao; Ziyue Qiao; Yifang Qin; Xiao Luo 001; Hui Xiong 001; Ming Zhang 004 (Sci. China Inf. Sci., 2025)

MHGC: Multi-scale hard sample mining for contrastive deep graph clustering. - Tao Ren 002; Haodong Zhang; Yifan Wang; Wei Ju 001; Chengwu Liu 001; Fanchun Meng; Siyu Yi; Xiao Luo 001 (Inf. Process. Manag., 2025)

Cross-Domain Diffusion With Progressive Alignment for Efficient Adaptive Retrieval. - Junyu Luo 002; Yusheng Zhao; Xiao Luo 001; Zhiping Xiao 001; Wei Ju 001; Li Shen 008; Dacheng Tao; Ming Zhang 004 (IEEE Trans. Image Process., 2025)

Graph Fourier Neural ODEs: Modeling Spatial-temporal Multi-scales in Molecular Dynamics. - Fang Sun; Zijie Huang 002; Haixin Wang 003; Huacong Tang; Xiao Luo 001; Wei Wang 010; Yizhou Sun (Trans. Mach. Learn. Res., 2025)

DELTA: Dual Consistency Delving with Topological Uncertainty for Active Graph Domain Adaptation. - Pengyun Wang; Yadi Cao; Chris Russell 001; Yanxin Shen; Junyu Luo 002; Ming Zhang 004; Siyu Heng; Xiao Luo 001 (Trans. Mach. Learn. Res., 2025)

Iterative Feature Space Optimization through Incremental Adaptive Evaluation. - Yanping Wu; Yanyong Huang; Zhengzhang Chen; Zijun Yao 001; Yanjie Fu; Kunpeng Liu 001; Xiao Luo 001; Dongjie Wang (CoRR, 2025)

Protein Large Language Models: A Comprehensive Survey. - Yijia Xiao; Wanjia Zhao; Junkai Zhang; Yiqiao Jin; Han Zhang; Zhicheng Ren; Renliang Sun; Haixin Wang 003; Guancheng Wan; Pan Lu; Xiao Luo 001; Yu Zhang 044; et al. (CoRR, 2025)

Large Language Model Agent: A Survey on Methodology, Applications and Challenges. - Junyu Luo 002; Weizhi Zhang; Ye Yuan; Yusheng Zhao; Junwei Yang; Yiyang Gu; Bohan Wu; Binqi Chen; Ziyue Qiao; Qingqing Long; Rongcheng Tu; Xiao Luo 001; et al. (CoRR, 2025)

Multifaceted Evaluation of Audio-Visual Capability for MLLMs: Effectiveness, Efficiency, Generalizability and Robustness. - Yusheng Zhao; Junyu Luo 002; Xiao Luo 001; Weizhi Zhang 001; Zhiping Xiao 001; Wei Ju 001; Philip S. Yu; Ming Zhang 004 (CoRR, 2025)

Towards Artificial Intelligence Research Assistant for Expert-Involved Learning. - Tianyu Liu 001; Simeng Han; Xiao Luo 001; Hanchen Wang 002; Pan Lu; Biqing Zhu; Yuge Wang; Keyi Li; Jiapeng Chen; Rihao Qu; Yufeng Liu; Xinyue Cui; et al. (CoRR, 2025)

NeuBM: Mitigating Model Bias in Graph Neural Networks through Neutral Input Calibration. - Jiawei Gu; Ziyue Qiao; Xiao Luo 001 (CoRR, 2025)

GCAL: Adapting Graph Models to Evolving Domain Shifts. - Ziyue Qiao; Qianyi Cai; Hao Dong 010; Jiawei Gu; Pengyang Wang; Meng Xiao 001; Xiao Luo 001; Hui Xiong 001 (CoRR, 2025)

MARCO: Meta-Reflection with Cross-Referencing for Code Reasoning. - Yusheng Zhao; Xiao Luo 001; Weizhi Zhang 001; Wei Ju 001; Zhiping Xiao 001; Philip S. Yu; Ming Zhang 004 (CoRR, 2025)

Dynamic Text Bundling Supervision for Zero-Shot Inference on Text-Attributed Graphs. - Yusheng Zhao; Qixin Zhang; Xiao Luo 001; Weizhi Zhang 001; Zhiping Xiao 001; Wei Ju 001; Philip S. Yu; Ming Zhang 004 (CoRR, 2025)

MLLM-Guided VLM Fine-Tuning with Joint Inference for Zero-Shot Composed Image Retrieval. - Rong-Cheng Tu; Zhao Jin; Jingyi Liao; Xiao Luo 001; Yingjie Wang; Li Shen 008; Dacheng Tao (CoRR, 2025)

FD-Bench: A Modular and Fair Benchmark for Data-driven Fluid Simulation. - Haixin Wang 003; Ruoyan Li; Fred Xu; Fang Sun; Kaiqiao Han; Zijie Huang 002; Guancheng Wan; Ching Chang; Xiao Luo 001; Wei Wang 010; Yizhou Sun (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)

Out-of-Distribution Graph Models Merging. - Yidi Wang; Jiawei Gu; Xiaobing Pei; Xubin Zheng; Xiao Luo 001; Pengyang Wang; Ziyue Qiao (CoRR, 2025)

FUSE: Measure-Theoretic Compact Fuzzy Set Representation for Taxonomy Expansion. - Fred Xu; Song Jiang 002; Zijie Huang 002; Xiao Luo 001; Shichang Zhang; Adrian Chen; Yizhou Sun (CoRR, 2025)

From Web Search towards Agentic Deep Research: Incentivizing Search with Reasoning Agents. - Weizhi Zhang 001; Yangning Li; Yuanchen Bei; Junyu Luo 002; Guancheng Wan; Liangwei Yang; Chenxuan Xie; Yuyao Yang; Wei-Chieh Huang; Chunyu Miao; Henry Peng Zou; Xiao Luo 001; et al. (CoRR, 2025)

SPAZER: Spatial-Semantic Progressive Reasoning Agent for Zero-shot 3D Visual Grounding. - Zhao Jin; Rong-Cheng Tu; Jingyi Liao; Wenhao Sun; Xiao Luo 001; Shunyu Liu 001; Dacheng Tao (CoRR, 2025)

Sparse Causal Discovery with Generative Intervention for Unsupervised Graph Domain Adaptation. - Junyu Luo 002; Yuhao Tang; Yiwei Fu; Xiao Luo 001; Zhizhuo Kou; Zhiping Xiao 001; Wei Ju 001; Wentao Zhang 001; Ming Zhang 004 (CoRR, 2025)

Towards Agentic RAG with Deep Reasoning: A Survey of RAG-Reasoning Systems in LLMs. - Yangning Li; Weizhi Zhang; Yuyao Yang; Wei-Chieh Huang; Yaozu Wu; Junyu Luo 002; Yuanchen Bei; Henry Peng Zou; Xiao Luo 001; Yusheng Zhao; Chunkit Chan; Yankai Chen 005; et al. (CoRR, 2025)

SciRerankBench: Benchmarking Rerankers Towards Scientific Retrieval-Augmented Generated LLMs. - Haotian Chen; Qingqing Long; Meng Xiao 001; Xiao Luo 001; Wei Ju 001; Chengrui Wang; Xuezhi Wang 004; Yuanchun Zhou; Hengshu Zhu (CoRR, 2025)