Xiao Luo

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 74

Top Topics

Graph Classification

Structure Learning

Top Venues

IEEE Trans. Knowl. Data Eng.

Neural Networks

Publications

Yifang Qin, Hongjun Wu, Wei Ju, Xiao Luo, Ming Zhang
A Diffusion Model for POI Recommendation. ACM Trans. Inf. Syst. 42 (2) (2024)
Nan Yin, Mengzhu Wang, Zhenghan Chen, Li Shen, Huan Xiong, Bin Gu, Xiao Luo
DREAM: Dual Structured Exploration with Mixup for Open-set Graph Domain Adaption. ICLR (2024)
Xinlong Yang, Haixin Wang, Jinan Sun, Yijia Xiao, Wei Xiang, Chong Chen, Xian-Sheng Hua, Xiao Luo
ROSE: Relational and Prototypical Structure Learning for Universal Domain Adaptive Hashing. IEEE Trans. Inf. Forensics Secur. 19 (2024)
Haixin Wang, Huiyu Jiang, Jinan Sun, Shikun Zhang, Chong Chen, Xian-Sheng Hua, Xiao Luo
DIOR: Learning to Hash With Label Noise Via Dual Partition and Contrastive Learning. IEEE Trans. Knowl. Data Eng. 36 (4) (2024)
Fan Zhang, Xian-Sheng Hua, Chong Chen, Xiao Luo
DEMO: A Statistical Perspective for Efficient Image-Text Matching. NAACL-HLT (2024)
Fan Zhang, Chong Chen, Xian-Sheng Hua, Xiao Luo
FATE: Learning Effective Binary Descriptors With Group Fairness. IEEE Trans. Image Process. 33 (2024)
Weikai Li, Zhiping Xiao, Xiao Luo, Yizhou Sun
Fast Inference of Removal-Based Node Influence. CoRR (2024)
Haixin Wang, Jianlong Chang, Yihang Zhai, Xiao Luo, Jinan Sun, Zhouchen Lin, Qi Tian
LION: Implicit Vision Prompt Tuning. AAAI (2024)
Weikai Li, Zhiping Xiao, Xiao Luo, Yizhou Sun
Fast Inference of Removal-Based Node Influence. WWW (2024)
Wei Ju, Zhengyang Mao, Ziyue Qiao, Yifang Qin, Siyu Yi, Zhiping Xiao, Xiao Luo, Yanjie Fu, Ming Zhang
Focus on informative graphs! Semi-supervised active learning for graph-level classification. Pattern Recognit. 153 (2024)
Wei Ju, Zhengyang Mao, Siyu Yi, Yifang Qin, Yiyang Gu, Zhiping Xiao, Yifan Wang, Xiao Luo, Ming Zhang
Hypergraph-enhanced Dual Semi-supervised Graph Classification. CoRR (2024)
Tianyu Liu, Yijia Xiao, Xiao Luo, Hua Xu, W. Jim Zheng, Hongyu Zhao
Geneverse: A collection of Open-source Multimodal Large Language Models for Genomic and Proteomic Research. CoRR (2024)
Xiao Luo, Daqing Wu, Yiyang Gu, Chong Chen, Luchen Liu, Jinwen Ma, Ming Zhang, Minghua Deng, Jianqiang Huang, Xian-Sheng Hua
Criterion-based Heterogeneous Collaborative Filtering for Multi-behavior Implicit Recommendation. ACM Trans. Knowl. Discov. Data 18 (1) (2024)
Xiao Luo, Wei Ju, Yiyang Gu, Yifang Qin, Siyu Yi, Daqing Wu, Luchen Liu, Ming Zhang
Toward Effective Semi-supervised Node Classification with Hybrid Curriculum Pseudo-labeling. ACM Trans. Multim. Comput. Commun. Appl. 20 (3) (2024)
Wei Ju, Yusheng Zhao, Yifang Qin, Siyu Yi, Jingyang Yuan, Zhiping Xiao, Xiao Luo, Xiting Yan, Ming Zhang
COOL: A Conjoint Perspective on Spatio-Temporal Graph Neural Network for Traffic Forecasting. CoRR (2024)
Yihang Zhou, Qingqing Long, Yuchen Yan, Xiao Luo, Zeyu Dong, Xuezhi Wang, Zhen Meng, Pengfei Wang, Yuanchun Zhou
COMAE: COMprehensive Attribute Exploration for Zero-shot Hashing. CoRR (2024)
Xiao Luo, Yusheng Zhao, Yifang Qin, Wei Ju, Ming Zhang
Towards Semi-Supervised Universal Graph Classification. IEEE Trans. Knowl. Data Eng. 36 (1) (2024)
Wei Ju, Zheng Fang, Yiyang Gu, Zequn Liu, Qingqing Long, Ziyue Qiao, Yifang Qin, Jianhao Shen, Fang Sun, Zhiping Xiao, Junwei Yang, Jingyang Yuan, Yusheng Zhao, Yifan Wang, Xiao Luo, Ming Zhang
A Comprehensive Survey on Deep Graph Representation Learning. Neural Networks 173 (2024)
Pengyun Wang, Junyu Luo, Yanxin Shen, Siyu Heng, Xiao Luo
A Comprehensive Graph Pooling Benchmark: Effectiveness, Robustness and Generalizability. CoRR (2024)
Xiao Luo, Wei Ju, Meng Qu, Yiyang Gu, Chong Chen, Minghua Deng, Xian-Sheng Hua, Ming Zhang
CLEAR: Cluster-Enhanced Contrast for Self-Supervised Graph Representation Learning. IEEE Trans. Neural Networks Learn. Syst. 35 (1) (2024)
Yifang Qin, Wei Ju, Hongjun Wu, Xiao Luo, Ming Zhang
Learning Graph ODE for Continuous-Time Sequential Recommendation. IEEE Trans. Knowl. Data Eng. 36 (7) (2024)
Fred Xu, Song Jiang, Zijie Huang, Xiao Luo, Shichang Zhang, Yuanzhou Chen, Yizhou Sun
FUSE: Measure-Theoretic Compact Fuzzy Set Representation for Taxonomy Expansion. ACL (Findings) (2024)
Wei Ju, Yusheng Zhao, Yifang Qin, Siyu Yi, Jingyang Yuan, Zhiping Xiao, Xiao Luo, Xiting Yan, Ming Zhang
COOL: A Conjoint Perspective on Spatio-Temporal Graph Neural Network for Traffic Forecasting. Inf. Fusion 107 (2024)
Wei Ju, Yifan Wang, Yifang Qin, Zhengyang Mao, Zhiping Xiao, Junyu Luo, Junwei Yang, Yiyang Gu, Dongjie Wang, Qingqing Long, Siyu Yi, Xiao Luo, Ming Zhang
Towards Graph Contrastive Learning: A Survey and Beyond. CoRR (2024)
Wei Ju, Siyu Yi, Yifan Wang, Zhiping Xiao, Zhengyang Mao, Hourun Li, Yiyang Gu, Yifang Qin, Nan Yin, Senzhang Wang, Xinwang Liu, Xiao Luo, Philip S. Yu, Ming Zhang
A Survey of Graph Neural Networks in Real world: Imbalance, Noise, Privacy and OOD Challenges. CoRR (2024)
Hengchuang Yin, Zhonghui Gu, Fanhao Wang, Yiparemu Abuduhaibaier, Yanqiao Zhu, Xinming Tu, Xian-Sheng Hua, Xiao Luo, Yizhou Sun
An Evaluation of Large Language Models in Bioinformatics Research. CoRR (2024)
Zeyu Ma, Siwei Wang, Xiao Luo, Zhonghui Gu, Chong Chen, Jinxing Li, Xian-Sheng Hua, Guangming Lu
HARR: Learning Discriminative and High-Quality Hash Codes for Image Retrieval. ACM Trans. Multim. Comput. Commun. Appl. 20 (5) (2024)
Nan Yin, Li Shen, Huan Xiong, Bin Gu, Chong Chen, Xian-Sheng Hua, Siwei Liu, Xiao Luo
Messages are Never Propagated Alone: Collaborative Hypergraph Neural Network for Time-Series Forecasting. IEEE Trans. Pattern Anal. Mach. Intell. 46 (4) (2024)
Ziyue Qiao, Meng Xiao, Weiyu Guo, Xiao Luo, Hui Xiong
Information filtering and interpolating for semi-supervised graph domain adaptation. Pattern Recognit. 153 (2024)
Yifan Wang, Xiao Luo, Chong Chen, Xian-Sheng Hua, Ming Zhang, Wei Ju
DisenSemi: Semi-supervised Graph Classification via Disentangled Representation Learning. CoRR (2024)
Siyu Yi, Wei Ju, Yifang Qin, Xiao Luo, Luchen Liu, Yong-Dao Zhou, Ming Zhang
Redundancy-Free Self-Supervised Relational Learning for Graph Clustering. CoRR (2023)
Haixin Wang, Jianlong Chang, Xiao Luo, Jinan Sun, Zhouchen Lin, Qi Tian
LION: Implicit Vision Prompt Tuning. CoRR (2023)
Yusheng Zhao, Xiao Luo, Wei Ju, Chong Chen, Xian-Sheng Hua, Ming Zhang
Dynamic Hypergraph Structure Learning for Traffic Flow Forecasting. ICDE (2023)
Nan Yin, Li Shen, Mengzhu Wang, Xiao Luo, Zhigang Luo, Dacheng Tao
OMG: Towards Effective Graph Classification Against Label Noise. IEEE Trans. Knowl. Data Eng. 35 (12) (2023)
Wei Ju, Yiyang Gu, Xiao Luo, Yi-Fan Wang, Haochen Yuan, Huasong Zhong, Ming Zhang
Unsupervised graph-level representation learning with hierarchical contrasts. Neural Networks 158 (2023)
Xiao Luo, Yiyang Gu, Huiyu Jiang, Jinsheng Huang, Wei Ju, Ming Zhang, Yizhou Sun
Graph ODE with Factorized Prototypes for Modeling Complicated Interacting Dynamics. CoRR (2023)
Wei Ju, Zequn Liu, Yifang Qin, Bin Feng, Chen Wang, Zhihui Guo, Xiao Luo, Ming Zhang
Few-shot Molecular Property Prediction via Hierarchically Structured Learning on Relation Graphs. Neural Networks 163 (2023)
Xiao Luo, Haixin Wang, Zijie Huang, Huiyu Jiang, Abhijeet Gangan, Song Jiang, Yizhou Sun
CARE: Modeling Interacting Dynamics Under Temporal Environmental Variation. NeurIPS (2023)
Wei Ju, Yiyang Gu, Binqi Chen, Gongbo Sun, Yifang Qin, Xingyuming Liu, Xiao Luo, Ming Zhang
GLCC: A General Framework for Graph-Level Clustering. AAAI (2023)
Xiao Luo, Yusheng Zhao, Zhengyang Mao, Yifang Qin, Wei Ju, Ming Zhang, Yizhou Sun
RIGNN: A Rationale Perspective for Semi-supervised Open-world Graph Classification. Trans. Mach. Learn. Res. 2023 (2023)
Nan Yin, Li Shen, Mengzhu Wang, Long Lan, Zeyu Ma, Chong Chen, Xian-Sheng Hua, Xiao Luo
CoCo: A Coupled Contrastive Framework for Unsupervised Domain Adaptive Graph Classification. ICML (2023)
Haixin Wang, Jinan Sun, Xiao Luo, Wei Xiang, Shikun Zhang, Chong Chen, Xian-Sheng Hua
Toward Effective Domain Adaptive Retrieval. IEEE Trans. Image Process. 32 (2023)
Jingyang Yuan, Xiao Luo, Yifang Qin, Zhengyang Mao, Wei Ju, Ming Zhang
ALEX: Towards Effective Graph Transfer Learning with Noisy Labels. ACM Multimedia (2023)
Yusheng Zhao, Xiao Luo, Wei Ju, Chong Chen, Xian-Sheng Hua, Ming Zhang
Dynamic Hypergraph Structure Learning for Traffic Flow Forecasting. CoRR (2023)
Jingyang Yuan, Xiao Luo, Yifang Qin, Yusheng Zhao, Wei Ju, Ming Zhang
Learning on Graphs under Label Noise. ICASSP (2023)
Xiao Luo, Haixin Wang, Daqing Wu, Chong Chen, Minghua Deng, Jianqiang Huang, Xian-Sheng Hua
A Survey on Deep Hashing Methods. ACM Trans. Knowl. Discov. Data 17 (1) (2023)
Zhengyang Mao, Wei Ju, Yifang Qin, Xiao Luo, Ming Zhang
RAHNet: Retrieval Augmented Hybrid Network for Long-tailed Graph Classification. ACM Multimedia (2023)
Wei Ju, Yifang Qin, Siyu Yi, Zhengyang Mao, Kangjie Zheng, Luchen Liu, Xiao Luo, Ming Zhang
Zero-shot Node Classification with Graph Contrastive Embedding Network. Trans. Mach. Learn. Res. 2023 (2023)
Siyu Yi, Zhengyang Mao, Wei Ju, Yong-Dao Zhou, Luchen Liu, Xiao Luo, Ming Zhang
Towards Long-Tailed Recognition for Graph Classification via Collaborative Experts. IEEE Trans. Big Data 9 (6) (2023)
Zijie Huang, Wanjia Zhao, Jingdong Gao, Ziniu Hu, Xiao Luo, Yadi Cao, Yuanzhou Chen, Yizhou Sun, Wei Wang
TANGO: Time-Reversal Latent GraphODE for Multi-Agent Dynamical Systems. CoRR (2023)
Haixin Wang, Jinan Sun, Xiang Wei, Shikun Zhang, Chong Chen, Xian-Sheng Hua, Xiao Luo
DANCE: Learning A Domain Adaptive Framework for Deep Hashing. WWW (2023)
Ziyue Qiao, Xiao Luo, Meng Xiao, Hao Dong, Yuanchun Zhou, Hui Xiong
Semi-supervised Domain Adaptation in Graph Transfer Learning. CoRR (2023)
Nan Yin, Li Shen, Mengzhu Wang, Long Lan, Zeyu Ma, Chong Chen, Xian-Sheng Hua, Xiao Luo
CoCo: A Coupled Contrastive Framework for Unsupervised Domain Adaptive Graph Classification. CoRR (2023)
Xiao Luo, Jingyang Yuan, Zijie Huang, Huiyu Jiang, Yifang Qin, Wei Ju, Ming Zhang, Yizhou Sun
HOPE: High-order Graph ODE For Modeling Interacting Dynamics. ICML (2023)
Xinlong Yang, Haixin Wang, Jinan Sun, Shikun Zhang, Chong Chen, Xian-Sheng Hua, Xiao Luo
Prototypical Mixing and Retrieval-based Refinement for Label Noise-resistant Image Retrieval. ICCV (2023)
Haixin Wang, Xinlong Yang, Jianlong Chang, Dian Jin, Jinan Sun, Shikun Zhang, Xiao Luo, Qi Tian
Mode Approximation Makes Good Vision-Language Prompts. CoRR (2023)
Jingyang Yuan, Xiao Luo, Yifang Qin, Zhengyang Mao, Wei Ju, Ming Zhang
ALEX: Towards Effective Graph Transfer Learning with Noisy Labels. CoRR (2023)
Haixin Wang, Xinlong Yang, Jianlong Chang, Dian Jin, Jinan Sun, Shikun Zhang, Xiao Luo, Qi Tian
Parameter-efficient Tuning of Large-scale Multimodal Foundation Model. NeurIPS (2023)
Song Jiang, Zijie Huang, Xiao Luo, Yizhou Sun
CF-GODE: Continuous-Time Causal Inference for Multi-Agent Dynamical Systems. KDD (2023)
Ziyue Qiao, Xiao Luo, Meng Xiao, Hao Dong, Yuanchun Zhou, Hui Xiong
Semi-supervised Domain Adaptation in Graph Transfer Learning. IJCAI (2023)
Wei Ju, Yifang Qin, Ziyue Qiao, Xiao Luo, Yifan Wang, Yanjie Fu, Ming Zhang
Kernel-based Substructure Exploration for Next POI Recommendation. CoRR (2022)
Wei Ju, Xiao Luo, Zeyu Ma, Junwei Yang, Minghua Deng, Ming Zhang
GHNN: Graph Harmonic Neural Networks for semi-supervised graph-level classification. Neural Networks 151 (2022)
Daqing Wu, Xiangyang Guo, Xiao Luo, Ziyue Qiao, Jinwen Ma
Adaptive Harmony Learning and Optimization for Attributed Graph Clustering. IJCNN (2022)
Xiao Luo, Zeyu Ma, Wei Cheng, Minghua Deng
Improve Deep Unsupervised Hashing via Structural and Intrinsic Similarity Learning. IEEE Signal Process. Lett. 29 (2022)
Wei Ju, Xiao Luo, Meng Qu, Yifan Wang, Chong Chen, Minghua Deng, Xian-Sheng Hua, Ming Zhang
TGNN: A Joint Semi-supervised Framework for Graph-level Classification. IJCAI (2022)
Xiao Luo, Wei Ju, Meng Qu, Chong Chen, Minghua Deng, Xian-Sheng Hua, Ming Zhang
DualGraph: Improving Semi-supervised Graph Classification via Dual Contrastive Learning. ICDE (2022)
Nan Yin, Fuli Feng, Zhigang Luo, Xiang Zhang, Wenjie Wang, Xiao Luo, Chong Chen, Xian-Sheng Hua
Dynamic Hypergraph Convolutional Network. ICDE (2022)
Zeyu Ma, Wei Ju, Xiao Luo, Chong Chen, Xian-Sheng Hua, Guangming Lu
Improved Deep Unsupervised Hashing via Prototypical Learning. ACM Multimedia (2022)
Zeyu Ma, Yuhang Guo, Xiao Luo, Chong Chen, Minghua Deng, Wei Cheng, Guangming Lu
DHWP: Learning High-Quality Short Hash Codes Via Weight Pruning. ICASSP (2022)
Nan Yin, Li Shen, Baopu Li, Mengzhu Wang, Xiao Luo, Chong Chen, Zhigang Luo, Xian-Sheng Hua
DEAL: An Unsupervised Domain Adaptive Framework for Graph-level Classification. ACM Multimedia (2022)
Zeyu Ma, Xiao Luo, Yingjie Chen, Mixiao Hou, Jinxing Li, Minghua Deng, Guangming Lu
Improved Deep Unsupervised Hashing with Fine-grained Semantic Similarity Mining for Multi-Label Image Retrieval. IJCAI (2022)
Mengzhu Wang, Shan An, Xiao Luo, Xiong Peng, Wei Yu, Junyang Chen, Zhigang Luo
Attention-based Adversarial Partial Domain Adaptation. ICASSP (2022)
Yingjie Chen, Chong Chen, Xiao Luo, Jianqiang Huang, Xian-Sheng Hua, Tao Wang, Yun Liang
Pursuing Knowledge Consistency: Supervised Hierarchical Contrastive Learning for Facial Action Unit Recognition. ACM Multimedia (2022)
Tao Li, Xiao Luo, Jinwen Ma
Average Mean Functions Based EM Algorithm for Mixtures of Gaussian Processes. ICONIP (5) (2021)