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Xiao Luo 0001
Person information
- affiliation: University of California Los Angeles, Department of Computer Science, CA, USA
- affiliation (former): Peking University, Beijing, China
Other persons with the same name
- Xiao Luo — disambiguation page
- Xiao Luo 0002
— Purdue School of Engineering and Technology, Indianapolis, IN, USA
- Xiao Luo 0003
- Xiao Luo 0004 — Oklahoma State University, Stillwater, OK, USA
- Xiao Luo 0005 — Chinese University of Hong Kong, Hong Kong, SAR, China
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2020 – today
- 2024
- [j30]Wei Ju
COOL: A Conjoint Perspective on Spatio-Temporal Graph Neural Network for Traffic Forecasting. Inf. Fusion 107: 102341 (2024) - [j29]Wei Ju
A Comprehensive Survey on Deep Graph Representation Learning. Neural Networks 173: 106207 (2024) - [j28]Nan Yin
Messages are Never Propagated Alone: Collaborative Hypergraph Neural Network for Time-Series Forecasting. IEEE Trans. Pattern Anal. Mach. Intell. 46(4): 2333-2347 (2024) - [j27]Fan Zhang, Hang Zhou, Xian-Sheng Hua, Chong Chen, Xiao Luo:
HOPE: A Hierarchical Perspective for Semi-Supervised 2D-3D Cross-Modal Retrieval. IEEE Trans. Pattern Anal. Mach. Intell. 46(12): 8976-8993 (2024) - [j26]Junyu Luo, Yiyang Gu, Xiao Luo, Wei Ju, Zhiping Xiao, Yusheng Zhao, Jingyang Yuan, Ming Zhang:
GALA: Graph Diffusion-Based Alignment With Jigsaw for Source-Free Domain Adaptation. IEEE Trans. Pattern Anal. Mach. Intell. 46(12): 9038-9051 (2024) - [j25]Ziyue Qiao
Information filtering and interpolating for semi-supervised graph domain adaptation. Pattern Recognit. 153: 110498 (2024) - [j24]Wei Ju
Focus on informative graphs! Semi-supervised active learning for graph-level classification. Pattern Recognit. 153: 110567 (2024) - [j23]Xinlong Yang
ROSE: Relational and Prototypical Structure Learning for Universal Domain Adaptive Hashing. IEEE Trans. Inf. Forensics Secur. 19: 7690-7704 (2024) - [j22]Fan Zhang
FATE: Learning Effective Binary Descriptors With Group Fairness. IEEE Trans. Image Process. 33: 3648-3661 (2024) - [j21]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): 14:1-14:26 (2024) - [j20]Xiao Luo
Self-supervised Graph-level Representation Learning with Adversarial Contrastive Learning. ACM Trans. Knowl. Discov. Data 18(2): 34:1-34:23 (2024) - [j19]Xiao Luo
Towards Semi-Supervised Universal Graph Classification. IEEE Trans. Knowl. Data Eng. 36(1): 416-428 (2024) - [j18]Haixin Wang
DIOR: Learning to Hash With Label Noise Via Dual Partition and Contrastive Learning. IEEE Trans. Knowl. Data Eng. 36(4): 1502-1517 (2024) - [j17]Yifang Qin
Learning Graph ODE for Continuous-Time Sequential Recommendation. IEEE Trans. Knowl. Data Eng. 36(7): 3224-3236 (2024) - [j16]Zeyu Ma
Discrepancy and Structure-Based Contrast for Test-Time Adaptive Retrieval. IEEE Trans. Multim. 26: 8665-8677 (2024) - [j15]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): 899-912 (2024) - [j14]Yifang Qin
A Diffusion Model for POI Recommendation. ACM Trans. Inf. Syst. 42(2): 54:1-54:27 (2024) - [j13]Xiao Luo
Toward Effective Semi-supervised Node Classification with Hybrid Curriculum Pseudo-labeling. ACM Trans. Multim. Comput. Commun. Appl. 20(3): 82:1-82:19 (2024) - [j12]Zeyu Ma
HARR: Learning Discriminative and High-Quality Hash Codes for Image Retrieval. ACM Trans. Multim. Comput. Commun. Appl. 20(5): 134:1-134:23 (2024) - [c53]Haixin Wang, Jianlong Chang, Yihang Zhai, Xiao Luo, Jinan Sun, Zhouchen Lin, Qi Tian:
LION: Implicit Vision Prompt Tuning. AAAI 2024: 5372-5380 - [c52]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: 2707-2720 - [c51]Zeyu Dong, Qingqing Long, Yihang Zhou, Pengfei Wang, Zhihong Zhu, Xiao Luo, Yidong Wang, Pengyang Wang, Yuanchun Zhou:
PIXEL: Prompt-based Zero-shot Hashing via Visual and Textual Semantic Alignment. CIKM 2024: 487-496 - [c50]Fan Zhang, Xian-Sheng Hua, Chong Chen, Xiao Luo:
Fine-grained Prototypical Voting with Heterogeneous Mixup for Semi-supervised 2D-3D Cross-modal Retrieval. CVPR 2024: 17016-17026 - [c49]Tianyu Liu, Yijia Xiao, Xiao Luo, Hua Xu, Wenjin Jim Zheng, Hongyu Zhao:
Geneverse: A Collection of Open-source Multimodal Large Language Models for Genomic and Proteomic Research. EMNLP (Findings) 2024: 4819-4836 - [c48]Yijia Xiao, Yiqiao Jin, Yushi Bai, Yue Wu, Xianjun Yang, Xiao Luo, Wenchao Yu, Xujiang Zhao, Yanchi Liu, Quanquan Gu, Haifeng Chen, Wei Wang, Wei Cheng:
Large Language Models Can Be Contextual Privacy Protection Learners. EMNLP 2024: 14179-14201 - [c47]Yuhao Tang, Junyu Luo, Ling Yang, Xiao Luo, Wentao Zhang, Bin Cui:
Multi- View Teacher with Curriculum Data Fusion for Robust Unsupervised Domain Adaptation. ICDE 2024: 2598-2611 - [c46]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 - [c45]Xiao Luo, Yiyang Gu, Huiyu Jiang, Hang Zhou, Jinsheng Huang, Wei Ju, Zhiping Xiao, Ming Zhang, Yizhou Sun:
PGODE: Towards High-quality System Dynamics Modeling. ICML 2024 - [c44]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. ICML 2024 - [c43]Hao Wu, Huiyuan Wang, Kun Wang, Weiyan Wang, Changan Ye, Yangyu Tao, Chong Chen, Xian-Sheng Hua, Xiao Luo:
Prometheus: Out-of-distribution Fluid Dynamics Modeling with Disentangled Graph ODE. ICML 2024 - [c42]Junyu Luo, Zhiping Xiao, Yifan Wang, Xiao Luo, Jingyang Yuan, Wei Ju, Langechuan Liu, Ming Zhang:
Rank and Align: Towards Effective Source-free Graph Domain Adaptation. IJCAI 2024: 4706-4714 - [c41]Hao Wu
PastNet: Introducing Physical Inductive Biases for Spatio-temporal Video Prediction. ACM Multimedia 2024: 2917-2926 - [c40]Fan Zhang, Xian-Sheng Hua, Chong Chen, Xiao Luo:
DEMO: A Statistical Perspective for Efficient Image-Text Matching. NAACL-HLT 2024: 355-369 - [c39]Weikai Li
Fast Inference of Removal-Based Node Influence. WWW 2024: 422-433 - [i47]Hourun Li, Yusheng Zhao, Zhengyang Mao, Yifang Qin, Zhiping Xiao, Jiaqi Feng, Yiyang Gu, Wei Ju, Xiao Luo
A Survey on Graph Neural Networks in Intelligent Transportation Systems. CoRR abs/2401.00713 (2024) - [i46]Yifang Qin, Wei Ju, Xiao Luo
PolyCF: Towards the Optimal Spectral Graph Filters for Collaborative Filtering. CoRR abs/2401.12590 (2024) - [i45]Wei Ju, Yiyang Gu, Zhengyang Mao, Ziyue Qiao, Yifang Qin, Xiao Luo
GPS: Graph Contrastive Learning via Multi-scale Augmented Views from Adversarial Pooling. CoRR abs/2401.16011 (2024) - [i44]Hengchuang Yin
An Evaluation of Large Language Models in Bioinformatics Research. CoRR abs/2402.13714 (2024) - [i43]Yihang Zhou, Qingqing Long, Yuchen Yan, Xiao Luo
COMAE: COMprehensive Attribute Exploration for Zero-shot Hashing. CoRR abs/2402.16424 (2024) - [i42]Wei Ju, Yusheng Zhao, Yifang Qin, Siyu Yi, Jingyang Yuan, Zhiping Xiao, Xiao Luo
COOL: A Conjoint Perspective on Spatio-Temporal Graph Neural Network for Traffic Forecasting. CoRR abs/2403.01091 (2024) - [i41]Wei Ju, Siyu Yi, Yifan Wang, Zhiping Xiao, Zhengyang Mao, Hourun Li, Yiyang Gu, Yifang Qin, Nan Yin, Senzhang Wang, Xinwang Liu, Xiao Luo
A Survey of Graph Neural Networks in Real world: Imbalance, Noise, Privacy and OOD Challenges. CoRR abs/2403.04468 (2024) - [i40]Weikai Li, Zhiping Xiao, Xiao Luo
Fast Inference of Removal-Based Node Influence. CoRR abs/2403.08333 (2024) - [i39]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 abs/2405.04773 (2024) - [i38]Fan Zhang, Xian-Sheng Hua, Chong Chen, Xiao Luo:
DEMO: A Statistical Perspective for Efficient Image-Text Matching. CoRR abs/2405.11496 (2024) - [i37]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 abs/2405.11868 (2024) - [i36]Pengyun Wang, Junyu Luo, Yanxin Shen, Siyu Heng, Xiao Luo:
A Comprehensive Graph Pooling Benchmark: Effectiveness, Robustness and Generalizability. CoRR abs/2406.09031 (2024) - [i35]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 abs/2406.15534 (2024) - [i34]Yifan Wang, Xiao Luo, Chong Chen, Xian-Sheng Hua, Ming Zhang, Wei Ju:
DisenSemi: Semi-supervised Graph Classification via Disentangled Representation Learning. CoRR abs/2407.14081 (2024) - [i33]Haixin Wang, Yadi Cao, Zijie Huang, Yuxuan Liu, Peiyan Hu, Xiao Luo, Zezheng Song, Wanjia Zhao, Jilin Liu, Jinan Sun, Shikun Zhang, Long Wei, Yue Wang, Tailin Wu, Zhi-Ming Ma, Yizhou Sun:
Recent Advances on Machine Learning for Computational Fluid Dynamics: A Survey. CoRR abs/2408.12171 (2024) - [i32]Junyu Luo, Zhiping Xiao, Yifan Wang, Xiao Luo, Jingyang Yuan, Wei Ju, Langechuan Liu, Ming Zhang:
Rank and Align: Towards Effective Source-free Graph Domain Adaptation. CoRR abs/2408.12185 (2024) - [i31]Pengyun Wang, Yadi Cao, Chris Russell, Siyu Heng, Junyu Luo, Yanxin Shen, Xiao Luo:
DELTA: Dual Consistency Delving with Topological Uncertainty for Active Graph Domain Adaptation. CoRR abs/2409.08946 (2024) - [i30]Zijie Huang, Wanjia Zhao, Jingdong Gao, Ziniu Hu, Xiao Luo, Yadi Cao, Yuanzhou Chen, Yizhou Sun, Wei Wang:
Physics-Informed Regularization for Domain-Agnostic Dynamical System Modeling. CoRR abs/2410.06366 (2024) - 2023
- [j11]Wei Ju
Unsupervised graph-level representation learning with hierarchical contrasts. Neural Networks 158: 359-368 (2023) - [j10]Wei Ju
Few-shot Molecular Property Prediction via Hierarchically Structured Learning on Relation Graphs. Neural Networks 163: 122-131 (2023) - [j9]Siyu Yi
Towards Long-Tailed Recognition for Graph Classification via Collaborative Experts. IEEE Trans. Big Data 9(6): 1683-1696 (2023) - [j8]Haixin Wang
Toward Effective Domain Adaptive Retrieval. IEEE Trans. Image Process. 32: 1285-1299 (2023) - [j7]Xiao Luo
A Survey on Deep Hashing Methods. ACM Trans. Knowl. Discov. Data 17(1): 15:1-15:50 (2023) - [j6]Nan Yin
OMG: Towards Effective Graph Classification Against Label Noise. IEEE Trans. Knowl. Data Eng. 35(12): 12873-12886 (2023) - [j5]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) - [j4]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) - [c38]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: 4391-4399 - [c37]Jingyang Yuan, Xiao Luo
Learning on Graphs under Label Noise. ICASSP 2023: 1-5 - [c36]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: 11205-11215 - [c35]Yusheng Zhao, Xiao Luo
Dynamic Hypergraph Structure Learning for Traffic Flow Forecasting. ICDE 2023: 2303-2316 - [c34]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: 23124-23139 - [c33]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: 40040-40053 - [c32]Ziyue Qiao, Xiao Luo
Semi-supervised Domain Adaptation in Graph Transfer Learning. IJCAI 2023: 2279-2287 - [c31]Song Jiang
CF-GODE: Continuous-Time Causal Inference for Multi-Agent Dynamical Systems. KDD 2023: 997-1009 - [c30]Jingyang Yuan
ALEX: Towards Effective Graph Transfer Learning with Noisy Labels. ACM Multimedia 2023: 3647-3656 - [c29]Zhengyang Mao
RAHNet: Retrieval Augmented Hybrid Network for Long-tailed Graph Classification. ACM Multimedia 2023: 3817-3826 - [c28]Xiao Luo, Haixin Wang, Zijie Huang, Huiyu Jiang, Abhijeet Gangan, Song Jiang, Yizhou Sun:
CARE: Modeling Interacting Dynamics Under Temporal Environmental Variation. NeurIPS 2023 - [c27]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 - [c26]Haixin Wang, Hao Wu, Jinan Sun, Shikun Zhang, Chong Chen, Xian-Sheng Hua, Xiao Luo:
IDEA: An Invariant Perspective for Efficient Domain Adaptive Image Retrieval. NeurIPS 2023 - [c25]Haixin Wang
DANCE: Learning A Domain Adaptive Framework for Deep Hashing. WWW 2023: 3319-3330 - [i29]Haixin Wang, Jianlong Chang, Xiao Luo
LION: Implicit Vision Prompt Tuning. CoRR abs/2303.09992 (2023) - [i28]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, Xiao Luo
A Comprehensive Survey on Deep Graph Representation Learning. CoRR abs/2304.05055 (2023) - [i27]Yifang Qin, Hongjun Wu, Wei Ju, Xiao Luo
A Diffusion model for POI recommendation. CoRR abs/2304.07041 (2023) - [i26]Yifang Qin, Wei Ju, Hongjun Wu, Xiao Luo
Learning Graph ODE for Continuous-Time Sequential Recommendation. CoRR abs/2304.07042 (2023) - [i25]Wei Ju, Xiao Luo
TGNN: A Joint Semi-supervised Framework for Graph-level Classification. CoRR abs/2304.11688 (2023) - [i24]Haixin Wang, Xinlong Yang, Jianlong Chang, Dian Jin, Jinan Sun, Shikun Zhang, Xiao Luo
Mode Approximation Makes Good Multimodal Prompts. CoRR abs/2305.08381 (2023) - [i23]Hao Wu, Wei Xiong, Fan Xu, Xiao Luo, Chong Chen, Xian-Sheng Hua, Haixin Wang:
PastNet: Introducing Physical Inductive Biases for Spatio-temporal Video Prediction. CoRR abs/2305.11421 (2023) - [i22]Xiao Luo, Yusheng Zhao, Yifang Qin, Wei Ju, Ming Zhang:
Towards Semi-supervised Universal Graph Classification. CoRR abs/2305.19598 (2023) - [i21]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 abs/2306.04979 (2023) - [i20]Jingyang Yuan, Xiao Luo, Yifang Qin, Yusheng Zhao, Wei Ju, Ming Zhang:
Learning on Graphs under Label Noise. CoRR abs/2306.08194 (2023) - [i19]Song Jiang, Zijie Huang, Xiao Luo, Yizhou Sun:
CF-GODE: Continuous-Time Causal Inference for Multi-Agent Dynamical Systems. CoRR abs/2306.11216 (2023) - [i18]Zhengyang Mao, Wei Ju, Yifang Qin, Xiao Luo
RAHNet: Retrieval Augmented Hybrid Network for Long-tailed Graph Classification. CoRR abs/2308.02335 (2023) - [i17]Siyu Yi, Zhengyang Mao, Wei Ju, Yongdao Zhou, Luchen Liu, Xiao Luo
Towards Long-Tailed Recognition for Graph Classification via Collaborative Experts. CoRR abs/2308.16609 (2023) - [i16]Siyu Yi, Wei Ju, Yifang Qin, Xiao Luo
Redundancy-Free Self-Supervised Relational Learning for Graph Clustering. CoRR abs/2309.04694 (2023) - [i15]Ziyue Qiao, Xiao Luo
Semi-supervised Domain Adaptation in Graph Transfer Learning. CoRR abs/2309.10773 (2023) - [i14]Yusheng Zhao, Xiao Luo
Dynamic Hypergraph Structure Learning for Traffic Flow Forecasting. CoRR abs/2309.12028 (2023) - [i13]Jingyang Yuan, Xiao Luo
ALEX: Towards Effective Graph Transfer Learning with Noisy Labels. CoRR abs/2309.14673 (2023) - [i12]Yijia Xiao, Yiqiao Jin, Yushi Bai, Yue Wu, Xianjun Yang, Xiao Luo
Large Language Models Can Be Good Privacy Protection Learners. CoRR abs/2310.02469 (2023) - [i11]Zijie Huang, Wanjia Zhao, Jingdong Gao, Ziniu Hu, Xiao Luo
TANGO: Time-Reversal Latent GraphODE for Multi-Agent Dynamical Systems. CoRR abs/2310.06427 (2023) - [i10]Xiao Luo
Graph ODE with Factorized Prototypes for Modeling Complicated Interacting Dynamics. CoRR abs/2311.06554 (2023) - 2022
- [j3]Wei Ju
GHNN: Graph Harmonic Neural Networks for semi-supervised graph-level classification. Neural Networks 151: 70-79 (2022) - [j2]Xiao Luo
Improve Deep Unsupervised Hashing via Structural and Intrinsic Similarity Learning. IEEE Signal Process. Lett. 29: 602-606 (2022) - [c24]Mengzhu Wang, Shan An, Xiao Luo
Attention-based Adversarial Partial Domain Adaptation. ICASSP 2022: 3144-3148 - [c23]Zeyu Ma
DHWP: Learning High-Quality Short Hash Codes Via Weight Pruning. ICASSP 2022: 4783-4787 - [c22]Xiao Luo
DualGraph: Improving Semi-supervised Graph Classification via Dual Contrastive Learning. ICDE 2022: 699-712 - [c21]Nan Yin, Fuli Feng, Zhigang Luo, Xiang Zhang, Wenjie Wang, Xiao Luo
Dynamic Hypergraph Convolutional Network. ICDE 2022: 1621-1634 - [c20]Wei Ju, Yifang Qin, Ziyue Qiao, Xiao Luo
Kernel-based Substructure Exploration for Next POI Recommendation. ICDM 2022: 221-230 - [c19]Zeyu Ma
Improved Deep Unsupervised Hashing with Fine-grained Semantic Similarity Mining for Multi-Label Image Retrieval. IJCAI 2022: 1254-1260 - [c18]Wei Ju, Xiao Luo
TGNN: A Joint Semi-supervised Framework for Graph-level Classification. IJCAI 2022: 2122-2128 - [c17]Daqing Wu, Xiangyang Guo, Xiao Luo
Adaptive Harmony Learning and Optimization for Attributed Graph Clustering. IJCNN 2022: 1-8 - [c16]Yingjie Chen, Chong Chen, Xiao Luo
Pursuing Knowledge Consistency: Supervised Hierarchical Contrastive Learning for Facial Action Unit Recognition. ACM Multimedia 2022: 111-119 - [c15]Jinan Sun, Haixin Wang, Xiao Luo
HEART: Towards Effective Hash Codes under Label Noise. ACM Multimedia 2022: 366-375 - [c14]Zeyu Ma
Improved Deep Unsupervised Hashing via Prototypical Learning. ACM Multimedia 2022: 659-667 - [c13]Nan Yin, Li Shen, Baopu Li, Mengzhu Wang, Xiao Luo
DEAL: An Unsupervised Domain Adaptive Framework for Graph-level Classification. ACM Multimedia 2022: 3470-3479 - [c12]Weicong Liang, Yuhui Yuan, Henghui Ding, Xiao Luo, Weihong Lin, Ding Jia, Zheng Zhang, Chao Zhang, Han Hu:
Expediting Large-Scale Vision Transformer for Dense Prediction without Fine-tuning. NeurIPS 2022 - [i9]Weicong Liang, Yuhui Yuan, Henghui Ding
Expediting Large-Scale Vision Transformer for Dense Prediction without Fine-tuning. CoRR abs/2210.01035 (2022) - [i8]Wei Ju, Yifang Qin, Ziyue Qiao, Xiao Luo
Kernel-based Substructure Exploration for Next POI Recommendation. CoRR abs/2210.03969 (2022) - [i7]Wei Ju, Yiyang Gu, Binqi Chen, Gongbo Sun, Yifang Qin, Xingyuming Liu, Xiao Luo
GLCC: A General Framework for Graph-level Clustering. CoRR abs/2210.11879 (2022) - 2021
- [c11]Daqing Wu, Xiao Luo
Composition-Enhanced Graph Collaborative Filtering for Multi-behavior Recommendation. ICDM 2021: 1427-1432 - [c10]Yuhang Guo
DNA-GCN: Graph Convolutional Networks for Predicting DNA-Protein Binding. ICIC (3) 2021: 458-466 - [c9]Xiao Luo
Deep Unsupervised Hashing by Distilled Smooth Guidance. ICME 2021: 1-6 - [c8]Xiao Luo
Deep Unsupervised Hashing by Global and Local Consistency. ICME 2021: 1-6 - [c7]Xiao Luo
Deep Supervised Hashing by Classification for Image Retrieval. ICONIP (4) 2021: 3-14 - [c6]Tao Li, Xiao Luo
Average Mean Functions Based EM Algorithm for Mixtures of Gaussian Processes. ICONIP (5) 2021: 549-557 - [c5]Daqing Wu, Xiao Luo
Concordant Contrastive Learning for Semi-supervised Node Classification on Graph. ICONIP (1) 2021: 584-595 - [c4]Weinan Wang, Yuhang Guo, Wei Ju, Xiao Luo
An Interpretation of Convolutional Neural Networks for Motif Finding from the View of Probability. ICTAI 2021: 176-183 - [c3]Xiao Luo
CIMON: Towards High-quality Hash Codes. IJCAI 2021: 902-908 - [c2]Daqing Wu, Xiao Luo
ARGO: Modeling Heterogeneity in E-commerce Recommendation. IJCNN 2021: 1-8 - [c1]Xiao Luo
A Statistical Approach to Mining Semantic Similarity for Deep Unsupervised Hashing. ACM Multimedia 2021: 4306-4314 - [i6]Xiao Luo, Zeyu Ma, Daqing Wu, Huasong Zhong, Chong Chen, Jinwen Ma, Minghua Deng:
Deep Unsupervised Hashing by Distilled Smooth Guidance. CoRR abs/2105.06125 (2021) - [i5]Xiao Luo, Daqing Wu, Chong Chen, Jinwen Ma, Minghua Deng, Chen Shen, Jianqiang Huang, Xian-Sheng Hua:
Criterion-based Heterogeneous Collaborative Filtering for Multi-behavior Implicit Recommendation. CoRR abs/2105.11876 (2021) - [i4]Yuhang Guo, Xiao Luo, Liang Chen, Minghua Deng:
DNA-GCN: Graph convolutional networks for predicting DNA-protein binding. CoRR abs/2106.01836 (2021) - [i3]Daqing Wu, Xiao Luo, Zeyu Ma, Chong Chen, Minghua Deng, Jinwen Ma:
ARGO: Modeling Heterogeneity in E-commerce Recommendation. CoRR abs/2109.05789 (2021) - 2020
- [j1]Xiao Luo
Expectation pooling: an effective and interpretable pooling method for predicting DNA-protein binding. Bioinform. 36(5): 1405-1412 (2020) - [i2]Xiao Luo, Chong Chen, Huasong Zhong, Hao Zhang, Minghua Deng, Jianqiang Huang, Xiansheng Hua:
A Survey on Deep Hashing Methods. CoRR abs/2003.03369 (2020) - [i1]Xiao Luo, Daqing Wu, Zeyu Ma, Chong Chen, Huasong Zhong, Minghua Deng, Jianqiang Huang, Xian-Sheng Hua:
CIMON: Towards High-quality Hash Codes. CoRR abs/2010.07804 (2020)
Coauthor Index
[j30] [j29] [j26] [j24] [j20] [j19] [j17] [j15] [j14] [j13] [c45] [c44] [c42] [i47] [i46] [i45] [i42] [i41] [i39] [i37] [i34] [i32] [j11] [j10] [j9] [j5] [j4] [c38] [c37] [c35] [c34] [c30] [c29] [i28] [i27] [i26] [i25] [i22] [i20] [i18] [i17] [i16] [i14] [i13] [i10] [j3] [c22] [c20] [c18] [c14] [i8] [i7] [c7] [c4]
[j30] [j29] [j26] [j24] [j21] [j20] [j19] [j17] [j15] [j14] [j13] [c45] [c44] [c42] [i47] [i46] [i45] [i42] [i41] [i39] [i37] [i34] [i32] [j11] [j10] [j9] [j5] [j4] [c38] [c37] [c35] [c34] [c30] [c29] [i28] [i27] [i26] [i25] [i22] [i20] [i18] [i17] [i16] [i14] [i13] [i10] [j3] [c22] [c20] [c18] [i8] [i7]
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For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
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load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
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to record detail pages.
load citations from opencitations.net
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OpenAlex data
Load additional information about publications from .
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last updated on 2024-11-22 19:45 CET by the dblp team
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