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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
— National University of Singapore, Department of Economics, Singapore (and 3 more)
- 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
- [j26]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: 102341 (2024) - [j25]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: 106207 (2024) - [j24]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): 2333-2347 (2024) - [j23]Ziyue Qiao
, Meng Xiao
, Weiyu Guo
, Xiao Luo
, Hui Xiong:
Information filtering and interpolating for semi-supervised graph domain adaptation. Pattern Recognit. 153: 110498 (2024) - [j22]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: 110567 (2024) - [j21]Fan Zhang
, Chong Chen
, Xian-Sheng Hua
, Xiao Luo
:
FATE: Learning Effective Binary Descriptors With Group Fairness. IEEE Trans. Image Process. 33: 3648-3661 (2024) - [j20]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) - [j19]Xiao Luo
, Wei Ju
, Yiyang Gu
, Zhengyang Mao
, Luchen Liu
, Yuhui Yuan
, Ming Zhang
:
Self-supervised Graph-level Representation Learning with Adversarial Contrastive Learning. ACM Trans. Knowl. Discov. Data 18(2): 34:1-34:23 (2024) - [j18]Xiao Luo
, Yusheng Zhao
, Yifang Qin
, Wei Ju
, Ming Zhang
:
Towards Semi-Supervised Universal Graph Classification. IEEE Trans. Knowl. Data Eng. 36(1): 416-428 (2024) - [j17]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): 1502-1517 (2024) - [j16]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): 3224-3236 (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
, Hongjun Wu
, Wei Ju
, Xiao Luo
, Ming Zhang
:
A Diffusion Model for POI Recommendation. ACM Trans. Inf. Syst. 42(2): 54:1-54:27 (2024) - [j13]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): 82:1-82:19 (2024) - [j12]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): 134:1-134:23 (2024) - [c43]Haixin Wang, Jianlong Chang, Yihang Zhai, Xiao Luo, Jinan Sun, Zhouchen Lin, Qi Tian:
LION: Implicit Vision Prompt Tuning. AAAI 2024: 5372-5380 - [c42]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 - [c41]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 - [c40]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 - [c39]Weikai Li
, Zhiping Xiao
, Xiao Luo
, Yizhou Sun
:
Fast Inference of Removal-Based Node Influence. WWW 2024: 422-433 - [i43]Hourun Li, Yusheng Zhao, Zhengyang Mao, Yifang Qin, Zhiping Xiao, Jiaqi Feng, Yiyang Gu, Wei Ju, Xiao Luo
, Ming Zhang:
A Survey on Graph Neural Networks in Intelligent Transportation Systems. CoRR abs/2401.00713 (2024) - [i42]Yifang Qin, Wei Ju, Xiao Luo
, Yiyang Gu, Zhiping Xiao, Ming Zhang:
PolyCF: Towards the Optimal Spectral Graph Filters for Collaborative Filtering. CoRR abs/2401.12590 (2024) - [i41]Wei Ju, Yiyang Gu, Zhengyang Mao, Ziyue Qiao, Yifang Qin, Xiao Luo
, Hui Xiong, Ming Zhang:
GPS: Graph Contrastive Learning via Multi-scale Augmented Views from Adversarial Pooling. CoRR abs/2401.16011 (2024) - [i40]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 abs/2402.13714 (2024) - [i39]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 abs/2402.16424 (2024) - [i38]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 abs/2403.01091 (2024) - [i37]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 abs/2403.04468 (2024) - [i36]Weikai Li, Zhiping Xiao, Xiao Luo
, Yizhou Sun:
Fast Inference of Removal-Based Node Influence. CoRR abs/2403.08333 (2024) - [i35]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) - [i34]Fan Zhang, Xian-Sheng Hua, Chong Chen, Xiao Luo:
DEMO: A Statistical Perspective for Efficient Image-Text Matching. CoRR abs/2405.11496 (2024) - [i33]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) - [i32]Pengyun Wang, Junyu Luo, Yanxin Shen, Siyu Heng, Xiao Luo:
A Comprehensive Graph Pooling Benchmark: Effectiveness, Robustness and Generalizability. CoRR abs/2406.09031 (2024) - [i31]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) - [i30]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) - 2023
- [j11]Wei Ju
, Yiyang Gu
, Xiao Luo
, Yifan Wang
, Haochen Yuan
, Huasong Zhong, Ming Zhang:
Unsupervised graph-level representation learning with hierarchical contrasts. Neural Networks 158: 359-368 (2023) - [j10]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: 122-131 (2023) - [j9]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): 1683-1696 (2023) - [j8]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: 1285-1299 (2023) - [j7]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): 15:1-15:50 (2023) - [j6]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): 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
, Yifang Qin, Yusheng Zhao, Wei Ju, Ming Zhang:
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
, Wei Ju, Chong Chen, Xian-Sheng Hua, Ming Zhang:
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
, Meng Xiao, Hao Dong, Yuanchun Zhou, Hui Xiong:
Semi-supervised Domain Adaptation in Graph Transfer Learning. IJCAI 2023: 2279-2287 - [c31]Song Jiang
, Zijie Huang
, Xiao Luo
, Yizhou Sun
:
CF-GODE: Continuous-Time Causal Inference for Multi-Agent Dynamical Systems. KDD 2023: 997-1009 - [c30]Jingyang Yuan
, Xiao Luo
, Yifang Qin
, Zhengyang Mao
, Wei Ju
, Ming Zhang
:
ALEX: Towards Effective Graph Transfer Learning with Noisy Labels. ACM Multimedia 2023: 3647-3656 - [c29]Zhengyang Mao
, Wei Ju
, Yifang Qin
, Xiao Luo
, Ming Zhang
:
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
, Jinan Sun
, Xiang Wei
, Shikun Zhang
, Chong Chen
, Xian-Sheng Hua
, Xiao Luo
:
DANCE: Learning A Domain Adaptive Framework for Deep Hashing. WWW 2023: 3319-3330 - [i29]Haixin Wang, Jianlong Chang, Xiao Luo
, Jinan Sun, Zhouchen Lin, Qi Tian:
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
, Ming Zhang:
A Comprehensive Survey on Deep Graph Representation Learning. CoRR abs/2304.05055 (2023) - [i27]Yifang Qin, Hongjun Wu, Wei Ju, Xiao Luo
, Ming Zhang:
A Diffusion model for POI recommendation. CoRR abs/2304.07041 (2023) - [i26]Yifang Qin, Wei Ju, Hongjun Wu, Xiao Luo
, Ming Zhang:
Learning Graph ODE for Continuous-Time Sequential Recommendation. CoRR abs/2304.07042 (2023) - [i25]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. CoRR abs/2304.11688 (2023) - [i24]Haixin Wang, Xinlong Yang, Jianlong Chang, Dian Jin, Jinan Sun, Shikun Zhang, Xiao Luo
, Qi Tian:
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
, Ming Zhang:
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
, Ming Zhang:
Towards Long-Tailed Recognition for Graph Classification via Collaborative Experts. CoRR abs/2308.16609 (2023) - [i16]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 abs/2309.04694 (2023) - [i15]Ziyue Qiao, Xiao Luo
, Meng Xiao, Hao Dong, Yuanchun Zhou, Hui Xiong:
Semi-supervised Domain Adaptation in Graph Transfer Learning. CoRR abs/2309.10773 (2023) - [i14]Yusheng Zhao, Xiao Luo
, Wei Ju, Chong Chen, Xian-Sheng Hua, Ming Zhang:
Dynamic Hypergraph Structure Learning for Traffic Flow Forecasting. CoRR abs/2309.12028 (2023) - [i13]Jingyang Yuan, Xiao Luo
, Yifang Qin, Zhengyang Mao, Wei Ju, Ming Zhang:
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
, Wenchao Yu, Xujiang Zhao, Yanchi Liu, Haifeng Chen, Wei Wang, Wei Cheng:
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
, Yadi Cao, Yuanzhou Chen, Yizhou Sun, Wei Wang:
TANGO: Time-Reversal Latent GraphODE for Multi-Agent Dynamical Systems. CoRR abs/2310.06427 (2023) - [i10]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 abs/2311.06554 (2023) - 2022
- [j3]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: 70-79 (2022) - [j2]Xiao Luo
, Zeyu Ma
, Wei Cheng
, Minghua Deng
:
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
, Xiong Peng, Wei Yu, Junyang Chen, Zhigang Luo:
Attention-based Adversarial Partial Domain Adaptation. ICASSP 2022: 3144-3148 - [c23]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: 4783-4787 - [c22]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: 699-712 - [c21]Nan Yin, Fuli Feng, Zhigang Luo, Xiang Zhang, Wenjie Wang, Xiao Luo
, Chong Chen, Xian-Sheng Hua:
Dynamic Hypergraph Convolutional Network. ICDE 2022: 1621-1634 - [c20]Wei Ju, Yifang Qin, Ziyue Qiao, Xiao Luo
, Yifan Wang, Yanjie Fu, Ming Zhang:
Kernel-based Substructure Exploration for Next POI Recommendation. ICDM 2022: 221-230 - [c19]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: 1254-1260 - [c18]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: 2122-2128 - [c17]Daqing Wu, Xiangyang Guo, Xiao Luo
, Ziyue Qiao, Jinwen Ma:
Adaptive Harmony Learning and Optimization for Attributed Graph Clustering. IJCNN 2022: 1-8 - [c16]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: 111-119 - [c15]Jinan Sun, Haixin Wang, Xiao Luo
, Shikun Zhang, Wei Xiang, Chong Chen, Xian-Sheng Hua:
HEART: Towards Effective Hash Codes under Label Noise. ACM Multimedia 2022: 366-375 - [c14]Zeyu Ma
, Wei Ju, Xiao Luo
, Chong Chen, Xian-Sheng Hua, Guangming Lu:
Improved Deep Unsupervised Hashing via Prototypical Learning. ACM Multimedia 2022: 659-667 - [c13]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: 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
, Xiao Luo
, Weihong Lin, Ding Jia, Zheng Zhang, Chao Zhang, Han Hu:
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
, Yifan Wang, Yanjie Fu, Ming Zhang:
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
, Ming Zhang:
GLCC: A General Framework for Graph-level Clustering. CoRR abs/2210.11879 (2022) - 2021
- [c11]Daqing Wu, Xiao Luo
, Zeyu Ma, Chong Chen, Pengfei Wang, Minghua Deng, Jinwen Ma:
Composition-Enhanced Graph Collaborative Filtering for Multi-behavior Recommendation. ICDM 2021: 1427-1432 - [c10]Yuhang Guo
, Xiao Luo
, Liang Chen
, Minghua Deng
:
DNA-GCN: Graph Convolutional Networks for Predicting DNA-Protein Binding. ICIC (3) 2021: 458-466 - [c9]Xiao Luo
, Zeyu Ma, Daqing Wu, Huasong Zhong, Chong Chen, Jinwen Ma, Minghua Deng:
Deep Unsupervised Hashing by Distilled Smooth Guidance. ICME 2021: 1-6 - [c8]Xiao Luo
, Daqing Wu, Chong Chen, Jinwen Ma, Minghua Deng:
Deep Unsupervised Hashing by Global and Local Consistency. ICME 2021: 1-6 - [c7]Xiao Luo
, Yuhang Guo, Zeyu Ma, Huasong Zhong, Tao Li, Wei Ju, Chong Chen, Minghua Deng:
Deep Supervised Hashing by Classification for Image Retrieval. ICONIP (4) 2021: 3-14 - [c6]Tao Li, Xiao Luo
, Jinwen Ma:
Average Mean Functions Based EM Algorithm for Mixtures of Gaussian Processes. ICONIP (5) 2021: 549-557 - [c5]Daqing Wu, Xiao Luo
, Xiangyang Guo, Chong Chen, Minghua Deng, Jinwen Ma:
Concordant Contrastive Learning for Semi-supervised Node Classification on Graph. ICONIP (1) 2021: 584-595 - [c4]Weinan Wang, Yuhang Guo, Wei Ju, Xiao Luo
, Minghua Deng:
An Interpretation of Convolutional Neural Networks for Motif Finding from the View of Probability. ICTAI 2021: 176-183 - [c3]Xiao Luo
, Daqing Wu, Zeyu Ma
, Chong Chen, Minghua Deng, Jinwen Ma, Zhongming Jin, Jianqiang Huang, Xian-Sheng Hua:
CIMON: Towards High-quality Hash Codes. IJCAI 2021: 902-908 - [c2]Daqing Wu, Xiao Luo
, Zeyu Ma, Chong Chen, Minghua Deng, Jinwen Ma:
ARGO: Modeling Heterogeneity in E-commerce Recommendation. IJCNN 2021: 1-8 - [c1]Xiao Luo
, Daqing Wu, Zeyu Ma, Chong Chen, Minghua Deng, Jianqiang Huang, Xian-Sheng Hua:
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
, Xinming Tu, Yang Ding, Ge Gao
, Minghua Deng
:
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
![](https://dblp.uni-trier.de/img/cog.dark.24x24.png)
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