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ORCIDXiao Huang 0001
Person information
- affiliation: Hong Kong Polytechnic University, Department of Computing, Hong Kong
- affiliation (PhD 2020): Texas A&M University, TX, USA
- affiliation (former): Illinois Institute of Technology, Chicago, USA
Other persons with the same name
- Xiao Huang — disambiguation page
- Xiao Huang 0002 — Xi'an University of Science and Technology, Xi'an, China
- Xiao Huang 0003
![[0000-0002-4323-382X]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-4323-382X")
— Emory University, Atlanta, GA, USA (and 1 more) - Xiao Huang 0004 — Beijing Institute of Technology, Beijing, China
- Xiao Huang 0005 — Central China Normal University, Wuhan, China
- Xiao Huang 0006 — Concordia University, Montréal, QC, Canada
- Xiao Huang 0007 — Hubei University of Technology, Wuhan, China
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Journal Articles
- 2024
[j19]Shuang Zhou, Xiao Huang, Ninghao Liu, Wen Zhang, Yuan-Ting Zhang, Fu-Lai Chung:
Open-world electrocardiogram classification via domain knowledge-driven contrastive learning. Neural Networks 179: 106551 (2024)- [j18]Guorong Chen, Yuan Yu, Yuan Qiao, Junliang Yang, Chongling Du, Zhang Qian, Xiao Huang:
A Study of Improved Two-Stage Dual-Conv Coordinate Attention Model for Sound Event Detection and Localization. Sensors 24(16): 5336 (2024) - [j17]Hanyu Sun, Xiao Huang, Wei Ma:
Beyond Prediction: On-Street Parking Recommendation Using Heterogeneous Graph-Based List-Wise Ranking. IEEE Trans. Intell. Transp. Syst. 25(6): 5892-5903 (2024) - [j16]Beiyu Song, Huachi Zhou, Xiao Huang, Wei Ma:
Collaborative Parking Vacancy Prediction for Cities With Partial Sensors Missing. IEEE Trans. Intell. Transp. Syst. 25(9): 11439-11451 (2024) - [j15]Song Wang, Yushun Dong, Xiao Huang, Chen Chen, Jundong Li:
Learning Hierarchical Task Structures for Few-shot Graph Classification. ACM Trans. Knowl. Discov. Data 18(3): 67:1-67:20 (2024) - [j14]Qiaoyu Tan, Xin Zhang, Xiao Huang, Hao Chen, Jundong Li, Xia Hu:
Collaborative Graph Neural Networks for Attributed Network Embedding. IEEE Trans. Knowl. Data Eng. 36(3): 972-986 (2024) - [j13]Qinggang Zhang, Junnan Dong, Qiaoyu Tan, Xiao Huang:
Integrating Entity Attributes for Error-Aware Knowledge Graph Embedding. IEEE Trans. Knowl. Data Eng. 36(4): 1667-1682 (2024) - [j12]Xin Zhang, Qiaoyu Tan, Xiao Huang, Bo Li:
Graph Contrastive Learning With Personalized Augmentation. IEEE Trans. Knowl. Data Eng. 36(11): 6305-6316 (2024) - [j11]Ye Jia, Xiangzhi Eric Wang, Zackary P. T. Sin, Chen Li, Peter H. F. Ng, Xiao Huang, George Baciu, Jiannong Cao, Qing Li:
Knowledge-Graph-Driven Mind Mapping for Immersive Collaborative Learning: A Pilot Study in Edu-Metaverse. IEEE Trans. Learn. Technol. 17: 1834-1848 (2024) - 2023
- [j10]Zeping Feng, Newman Lau, Mengxiao Zhu, Mengru Liu, Rehe Refati, Xiao Huang, Kun-pyo Lee:
Behavioural design of gamification elements and exploration of player types in youth basketball training. Smart Learn. Environ. 10(1): 56 (2023) - [j9]Liqiao Xia, Yongshi Liang, Pai Zheng, Xiao Huang:
Residual-Hypergraph Convolution Network: A Model-Based and Data-Driven Integrated Approach for Fault Diagnosis in Complex Equipment. IEEE Trans. Instrum. Meas. 72: 1-11 (2023) - [j8]Shuang Zhou, Xiao Huang, Ninghao Liu, Huachi Zhou, Fu-Lai Chung, Long-Kai Huang:
Improving Generalizability of Graph Anomaly Detection Models via Data Augmentation. IEEE Trans. Knowl. Data Eng. 35(12): 12721-12735 (2023) - [j7]Zackary P. T. Sin, Ye Jia, Astin C. H. Wu, Isaac Dan Zhao, Richard Chen Li, Peter H. F. Ng, Xiao Huang, George Baciu, Jiannong Cao, Qing Li:
Toward an Edu-Metaverse of Knowledge: Immersive Exploration of University Courses. IEEE Trans. Learn. Technol. 16(6): 1096-1110 (2023) - 2022
- [j6]Zhihao Guo, Shengyuan Chen, Xiao Huang, Zhiqiang Qian, Chunsing Yu, Yan Xu, Fang Ding:
Fair Benchmark for Unsupervised Node Representation Learning. Algorithms 15(10): 379 (2022) - [j5]Cheng Peng, Hao Jiang, Junnan Dong, Xiao Huang:
College-Related Question Answering based on Knowledge Graph. IEEE Data Eng. Bull. 45(4): 60-71 (2022) - [j4]Kaixiong Zhou, Xiao Huang, Qingquan Song, Rui Chen, Xia Hu:
Auto-GNN: Neural architecture search of graph neural networks. Frontiers Big Data 5 (2022) - [j3]Liqiao Xia, Pai Zheng, Xiao Huang, Chao Liu:
A novel hypergraph convolution network-based approach for predicting the material removal rate in chemical mechanical planarization. J. Intell. Manuf. 33(8): 2295-2306 (2022) - 2020
- [j2]Xiao Huang, Pengjie Ren, Zhaochun Ren, Fei Sun, Xiangnan He, Dawei Yin, Maarten de Rijke:
Report on the international workshop on natural language processing for recommendations (NLP4REC 2020) workshop held at WSDM 2020. SIGIR Forum 54(1): 6:1-6:5 (2020) - 2018
- [j1]Xiao Huang, Jundong Li, Na Zou, Xia Hu:
A General Embedding Framework for Heterogeneous Information Learning in Large-Scale Networks. ACM Trans. Knowl. Discov. Data 12(6): 70:1-70:24 (2018)
Conference and Workshop Papers
- 2024
- [c60]Junnan Dong, Qinggang Zhang, Huachi Zhou, Daochen Zha, Pai Zheng, Xiao Huang:
Modality-Aware Integration with Large Language Models for Knowledge-Based Visual Question Answering. ACL (1) 2024: 2417-2429 - [c59]Zijin Hong, Zheng Yuan, Hao Chen, Qinggang Zhang, Feiran Huang, Xiao Huang:
Knowledge-to-SQL: Enhancing SQL Generation with Data Expert LLM. ACL (Findings) 2024: 10997-11008 - [c58]Huachi Zhou, Shuang Zhou, Hao Chen, Ninghao Liu, Fan Yang, Xiao Huang:
Enhancing Explainable Rating Prediction through Annotated Macro Concepts. ACL (1) 2024: 11736-11748 - [c57]Xinrun Wang, Chang Yang, Shuxin Li, Pengdeng Li, Xiao Huang, Hau Chan, Bo An:
Reinforcement Nash Equilibrium Solver. AAMAS 2024: 2552-2554 - [c56]Pengdeng Li, Shuxin Li, Chang Yang, Xinrun Wang, Shuyue Hu, Xiao Huang, Hau Chan, Bo An:
Configurable Mirror Descent: Towards a Unification of Decision Making. ICML 2024 - [c55]Pengdeng Li, Shuxin Li, Chang Yang, Xinrun Wang, Xiao Huang, Hau Chan, Bo An:
Self-adaptive PSRO: Towards an Automatic Population-based Game Solver. IJCAI 2024: 139-147 - [c54]Xinrun Wang, Chang Yang, Shuxin Li, Pengdeng Li, Xiao Huang, Hau Chan, Bo An:
Reinforcement Nash Equilibrium Solver. IJCAI 2024: 265-273 - [c53]Shuang Zhou, Daochen Zha, Xiao Shen, Xiao Huang, Rui Zhang, Korris Fu-Lai Chung:
Denoising-Aware Contrastive Learning for Noisy Time Series. IJCAI 2024: 5644-5652 - [c52]Qinggang Zhang, Keyu Duan, Junnan Dong, Pai Zheng, Xiao Huang:
Logical Reasoning with Relation Network for Inductive Knowledge Graph Completion. KDD 2024: 4268-4277 - [c51]Yijie Zhang, Yuanchen Bei, Hao Chen, Qijie Shen, Zheng Yuan, Huan Gong, Senzhang Wang, Feiran Huang, Xiao Huang:
Multi-Behavior Collaborative Filtering with Partial Order Graph Convolutional Networks. KDD 2024: 6257-6268 - [c50]Yujuan Ding, Wenqi Fan, Xiao Huang, Qing Li:
Large Language Models for Graph Learning. WWW (Companion Volume) 2024: 1643-1646 - [c49]Xuansheng Wu, Huachi Zhou, Yucheng Shi, Wenlin Yao, Xiao Huang, Ninghao Liu:
Could Small Language Models Serve as Recommenders? Towards Data-centric Cold-start Recommendation. WWW 2024: 3566-3575 - [c48]Hao Chen, Yuanchen Bei, Qijie Shen, Yue Xu, Sheng Zhou, Wenbing Huang, Feiran Huang, Senzhang Wang, Xiao Huang:
Macro Graph Neural Networks for Online Billion-Scale Recommender Systems. WWW 2024: 3598-3608 - 2023
- [c47]Yuanchen Bei, Hao Chen, Shengyuan Chen, Xiao Huang, Sheng Zhou, Feiran Huang:
Non-Recursive Cluster-Scale Graph Interacted Model for Click-Through Rate Prediction. CIKM 2023: 3748-3752 - [c46]Yezi Liu, Qinggang Zhang, Mengnan Du, Xiao Huang, Xia Hu:
Error Detection on Knowledge Graphs with Triple Embedding. EUSIPCO 2023: 1604-1608 - [c45]Qiaoyu Tan, Xin Zhang, Jiahe Du, Xiao Huang:
Graph Neural Networks with Non-Recursive Message Passing. ICDM (Workshops) 2023: 506-514 - [c44]Zirui Liu, Shengyuan Chen, Kaixiong Zhou, Daochen Zha, Xiao Huang, Xia Hu:
RSC: Accelerate Graph Neural Networks Training via Randomized Sparse Computations. ICML 2023: 21951-21968 - [c43]Junnan Dong, Wentao Li, Yaowei Wang, Qing Li, George Baciu, Jiannong Cao, Xiao Huang, Richard Chen Li, Peter H. F. Ng:
Gradual Study Advising with Course Knowledge Graphs. ICWL 2023: 125-138 - [c42]Rui Chen, Guotao Liang, Chenrui Ma, Qilong Han, Li Li, Xiao Huang:
HTP: Exploiting Holistic Temporal Patterns for Sequential Recommendation. IJCNN 2023: 1-8 - [c41]Shengyuan Chen, Yunfeng Cai, Huang Fang, Xiao Huang, Mingming Sun:
Differentiable Neuro-Symbolic Reasoning on Large-Scale Knowledge Graphs. NeurIPS 2023 - [c40]Huachi Zhou, Shuang Zhou, Keyu Duan, Xiao Huang, Qiaoyu Tan, Zailiang Yu:
Interest Driven Graph Structure Learning for Session-Based Recommendation. PAKDD (3) 2023: 284-296 - [c39]Huachi Zhou, Hao Chen, Junnan Dong, Daochen Zha, Chuang Zhou, Xiao Huang:
Adaptive Popularity Debiasing Aggregator for Graph Collaborative Filtering. SIGIR 2023: 7-17 - [c38]Feiran Huang, Zefan Wang, Xiao Huang, Yufeng Qian, Zhetao Li, Hao Chen:
Aligning Distillation For Cold-start Item Recommendation. SIGIR 2023: 1147-1157 - [c37]Qiaoyu Tan, Ninghao Liu, Xiao Huang, Soo-Hyun Choi, Li Li, Rui Chen, Xia Hu:
S2GAE: Self-Supervised Graph Autoencoders are Generalizable Learners with Graph Masking. WSDM 2023: 787-795 - [c36]Junnan Dong, Qinggang Zhang, Xiao Huang, Qiaoyu Tan, Daochen Zha, Zihao Zhao:
Active Ensemble Learning for Knowledge Graph Error Detection. WSDM 2023: 877-885 - [c35]Qing Li, Xiao Huang, Ninghao Liu, Yuxiao Dong, Guansong Pang:
International Workshop on Learning with Knowledge Graphs: Construction, Embedding, and Reasoning. WSDM 2023: 1273-1274 - [c34]Junnan Dong, Qinggang Zhang, Xiao Huang, Keyu Duan, Qiaoyu Tan, Zhimeng Jiang:
Hierarchy-Aware Multi-Hop Question Answering over Knowledge Graphs. WWW 2023: 2519-2527 - 2022
- [c33]Qinggang Zhang, Junnan Dong, Keyu Duan, Xiao Huang, Yezi Liu, Linchuan Xu:
Contrastive Knowledge Graph Error Detection. CIKM 2022: 2590-2599 - [c32]Huachi Zhou, Jiaqi Fan, Xiao Huang, Ka Ho Li, Zhenyu Tang, Dahai Yu:
Multi-Interest Refinement by Collaborative Attributes Modeling for Click-Through Rate Prediction. CIKM 2022: 4732-4736 - [c31]Qing Li, George Baciu, Jiannong Cao, Xiao Huang, Richard Chen Li, Peter H. F. Ng, Junnan Dong, Qinggang Zhang, Zackary P. T. Sin, Yaowei Wang:
KCUBE: A Knowledge Graph University Curriculum Framework for Student Advising and Career Planning. ICBL 2022: 358-369 - [c30]Jerry C. K. Chan, Yaowei Wang, Qing Li, George Baciu, Jiannong Cao, Xiao Huang, Richard Chen Li, Peter H. F. Ng:
Intelligent Instructional Design via Interactive Knowledge Graph Editing. ICWL 2022: 41-52 - [c29]Wentao Li, Huachi Zhou, Junnan Dong, Qinggang Zhang, Qing Li, George Baciu, Jiannong Cao, Xiao Huang:
Constructing Low-Redundant and High-Accuracy Knowledge Graphs for Education. ICWL 2022: 148-160 - [c28]Zackary P. T. Sin, Isaac Dan Zhao, Astin C. H. Wu, Richard Chen Li, Peter H. F. Ng, Xiao Huang, George Baciu, Jiannong Cao, Qing Li:
Towards a Metaverse of Knowledge - A Constructivist Proposition on Immersive Learning and Visual Literacy. ICWL 2022: 214-225 - [c27]Song Wang, Yushun Dong, Xiao Huang, Chen Chen, Jundong Li:
FAITH: Few-Shot Graph Classification with Hierarchical Task Graphs. IJCAI 2022: 2284-2290 - [c26]Zhiming Xu, Xiao Huang, Yue Zhao, Yushun Dong, Jundong Li:
Contrastive Attributed Network Anomaly Detection with Data Augmentation. PAKDD (2) 2022: 444-457 - [c25]Shuang Zhou, Xiao Huang, Ninghao Liu, Qiaoyu Tan, Fu-Lai Chung:
Unseen Anomaly Detection on Networks via Multi-Hypersphere Learning. SDM 2022: 262-270 - [c24]Hao Chen, Zefan Wang, Feiran Huang, Xiao Huang, Yue Xu, Yishi Lin, Peng He, Zhoujun Li:
Generative Adversarial Framework for Cold-Start Item Recommendation. SIGIR 2022: 2565-2571 - 2021
- [c23]Qiaoyu Tan, Jianwei Zhang, Ninghao Liu, Xiao Huang, Hongxia Yang, Jingren Zhou, Xia Hu:
Dynamic Memory based Attention Network for Sequential Recommendation. AAAI 2021: 4384-4392 - [c22]Song Wang, Xiao Huang, Chen Chen, Liang Wu, Jundong Li:
REFORM: Error-Aware Few-Shot Knowledge Graph Completion. CIKM 2021: 1979-1988 - [c21]Shuang Zhou, Qiaoyu Tan, Zhiming Xu, Xiao Huang, Fu-Lai Chung:
Subtractive Aggregation for Attributed Network Anomaly Detection. CIKM 2021: 3672-3676 - [c20]Ji Gao, Xiao Huang, Jundong Li:
Unsupervised Graph Alignment with Wasserstein Distance Discriminator. KDD 2021: 426-435 - [c19]Kaixiong Zhou, Xiao Huang, Daochen Zha, Rui Chen, Li Li, Soo-Hyun Choi, Xia Hu:
Dirichlet Energy Constrained Learning for Deep Graph Neural Networks. NeurIPS 2021: 21834-21846 - [c18]Huachi Zhou, Qiaoyu Tan, Xiao Huang, Kaixiong Zhou, Xiaoling Wang:
Temporal Augmented Graph Neural Networks for Session-Based Recommendations. SIGIR 2021: 1798-1802 - 2020
- [c17]Yan Zhong, Xiao Huang, Jundong Li, Xia Hu:
Scalable Social Tie Strength Measuring. ASONAM 2020: 288-295 - [c16]Kaixiong Zhou, Qingquan Song, Xiao Huang, Daochen Zha, Na Zou, Xia Hu:
Multi-Channel Graph Neural Networks. IJCAI 2020: 1352-1358 - [c15]Kaixiong Zhou, Xiao Huang, Yuening Li, Daochen Zha, Rui Chen, Xia Hu:
Towards Deeper Graph Neural Networks with Differentiable Group Normalization. NeurIPS 2020 - 2019
- [c14]Xiao Huang, Qingquan Song, Fan Yang, Xia Hu:
Large-Scale Heterogeneous Feature Embedding. AAAI 2019: 3878-3885 - [c13]Yuening Li, Xiao Huang, Jundong Li, Mengnan Du, Na Zou:
SpecAE: Spectral AutoEncoder for Anomaly Detection in Attributed Networks. CIKM 2019: 2233-2236 - [c12]Xiao Huang, Qingquan Song, Yuening Li, Xia Hu:
Graph Recurrent Networks With Attributed Random Walks. KDD 2019: 732-740 - [c11]Xiao Huang, Peng Cui, Yuxiao Dong, Jundong Li, Huan Liu, Jian Pei, Le Song, Jie Tang, Fei Wang, Hongxia Yang, Wenwu Zhu:
Learning From Networks: Algorithms, Theory, and Applications. KDD 2019: 3221-3222 - [c10]Xiao Huang, Jingyuan Zhang, Dingcheng Li, Ping Li:
Knowledge Graph Embedding Based Question Answering. WSDM 2019: 105-113 - 2018
- [c9]Zepeng Huo, Xiao Huang, Xia Hu:
Link Prediction With Personalized Social Influence. AAAI 2018: 2289-2296 - [c8]Qingquan Song, Haifeng Jin, Xiao Huang, Xia Hu:
Multi-label Adversarial Perturbations. ICDM 2018: 1242-1247 - [c7]Ninghao Liu, Xiao Huang, Jundong Li, Xia Hu:
On Interpretation of Network Embedding via Taxonomy Induction. KDD 2018: 1812-1820 - [c6]Xiao Huang, Qingquan Song, Jundong Li, Xia Hu:
Exploring Expert Cognition for Attributed Network Embedding. WSDM 2018: 270-278 - 2017
- [c5]Ninghao Liu, Xiao Huang, Xia Hu:
Accelerated Local Anomaly Detection via Resolving Attributed Networks. IJCAI 2017: 2337-2343 - [c4]Qingquan Song, Xiao Huang, Hancheng Ge, James Caverlee, Xia Hu:
Multi-Aspect Streaming Tensor Completion. KDD 2017: 435-443 - [c3]Xiao Huang, Jundong Li, Xia Hu:
Accelerated Attributed Network Embedding. SDM 2017: 633-641 - [c2]Xiao Huang, Jundong Li, Xia Hu:
Label Informed Attributed Network Embedding. WSDM 2017: 731-739 - 2015
- [c1]Xiao Huang, Salim El Rouayheb:
Index coding and network coding via rank minimization. ITW Fall 2015: 14-18
Informal and Other Publications
- 2024
- [i39]Hao Chen, Yuanchen Bei, Qijie Shen, Yue Xu, Sheng Zhou, Wenbing Huang, Feiran Huang, Senzhang Wang, Xiao Huang:
Macro Graph Neural Networks for Online Billion-Scale Recommender Systems. CoRR abs/2401.14939 (2024) - [i38]Yijie Zhang, Yuanchen Bei, Hao Chen, Qijie Shen, Zheng Yuan, Huan Gong, Senzhang Wang, Feiran Huang, Xiao Huang:
Multi-Behavior Collaborative Filtering with Partial Order Graph Convolutional Networks. CoRR abs/2402.07659 (2024) - [i37]Zijin Hong, Zheng Yuan, Hao Chen, Qinggang Zhang, Feiran Huang, Xiao Huang:
Knowledge-to-SQL: Enhancing SQL Generation with Data Expert LLM. CoRR abs/2402.11517 (2024) - [i36]Junnan Dong, Qinggang Zhang, Huachi Zhou, Daochen Zha, Pai Zheng, Xiao Huang:
Modality-Aware Integration with Large Language Models for Knowledge-based Visual Question Answering. CoRR abs/2402.12728 (2024) - [i35]Qinggang Zhang, Junnan Dong, Hao Chen, Wentao Li, Feiran Huang, Xiao Huang:
Structure Guided Large Language Model for SQL Generation. CoRR abs/2402.13284 (2024) - [i34]Pengdeng Li, Shuxin Li, Chang Yang, Xinrun Wang, Xiao Huang, Hau Chan, Bo An:
Self-adaptive PSRO: Towards an Automatic Population-based Game Solver. CoRR abs/2404.11144 (2024) - [i33]Xinrun Wang, Chang Yang, Shuxin Li, Pengdeng Li, Xiao Huang, Hau Chan, Bo An:
Reinforcement Nash Equilibrium Solver. CoRR abs/2405.03518 (2024) - [i32]Pengdeng Li, Shuxin Li, Chang Yang, Xinrun Wang, Shuyue Hu, Xiao Huang, Hau Chan, Bo An:
Configurable Mirror Descent: Towards a Unification of Decision Making. CoRR abs/2405.11746 (2024) - [i31]Shengyuan Chen, Qinggang Zhang, Junnan Dong, Wen Hua, Qing Li, Xiao Huang:
Entity Alignment with Noisy Annotations from Large Language Models. CoRR abs/2405.16806 (2024) - [i30]Junnan Dong, Qinggang Zhang, Chuang Zhou, Hao Chen, Daochen Zha, Xiao Huang:
Cost-efficient Knowledge-based Question Answering with Large Language Models. CoRR abs/2405.17337 (2024) - [i29]Qinggang Zhang, Keyu Duan, Junnan Dong, Pai Zheng, Xiao Huang:
Logical Reasoning with Relation Network for Inductive Knowledge Graph Completion. CoRR abs/2406.01140 (2024) - [i28]Shuang Zhou, Daochen Zha, Xiao Shen, Xiao Huang, Rui Zhang, Fu-Lai Chung:
Denoising-Aware Contrastive Learning for Noisy Time Series. CoRR abs/2406.04627 (2024) - [i27]Zijin Hong, Zheng Yuan, Qinggang Zhang, Hao Chen, Junnan Dong, Feiran Huang, Xiao Huang:
Next-Generation Database Interfaces: A Survey of LLM-based Text-to-SQL. CoRR abs/2406.08426 (2024) - [i26]Zhu Wang, Shuang Zhou, Junnan Dong, Chang Yang, Xiao Huang, Shengjie Zhao:
Graph Anomaly Detection with Noisy Labels by Reinforcement Learning. CoRR abs/2407.05934 (2024) - [i25]Weijun Chen, Yuanchen Bei, Qijie Shen, Hao Chen, Xiao Huang, Feiran Huang:
Feedback Reciprocal Graph Collaborative Filtering. CoRR abs/2408.02404 (2024) - [i24]Shuxin Li, Chang Yang, Youzhi Zhang, Pengdeng Li, Xinrun Wang, Xiao Huang, Hau Chan, Bo An:
In-Context Exploiter for Extensive-Form Games. CoRR abs/2408.05575 (2024) - [i23]Shengyuan Chen, Qinggang Zhang, Junnan Dong, Wen Hua, Jiannong Cao, Xiao Huang:
Neuro-Symbolic Entity Alignment via Variational Inference. CoRR abs/2410.04153 (2024) - 2023
- [i22]Hanyu Sun, Xiao Huang, Wei Ma:
Beyond Prediction: On-street Parking Recommendation using Heterogeneous Graph-based List-wise Ranking. CoRR abs/2305.00162 (2023) - [i21]Shuang Zhou, Xiao Huang, Ninghao Liu, Huachi Zhou, Fu-Lai Chung, Long-Kai Huang:
Improving Generalizability of Graph Anomaly Detection Models via Data Augmentation. CoRR abs/2306.10534 (2023) - [i20]Xuansheng Wu, Huachi Zhou, Wenlin Yao, Xiao Huang, Ninghao Liu:
Towards Personalized Cold-Start Recommendation with Prompts. CoRR abs/2306.17256 (2023) - [i19]Qiaoyu Tan, Xin Zhang, Xiao Huang, Hao Chen, Jundong Li, Xia Hu:
Collaborative Graph Neural Networks for Attributed Network Embedding. CoRR abs/2307.11981 (2023) - [i18]Rui Chen, Guotao Liang, Chenrui Ma, Qilong Han, Li Li, Xiao Huang:
HTP: Exploiting Holistic Temporal Patterns for Sequential Recommendation. CoRR abs/2307.11994 (2023) - [i17]Qinggang Zhang, Junnan Dong, Hao Chen, Xiao Huang, Daochen Zha, Zailiang Yu:
KnowGPT: Black-Box Knowledge Injection for Large Language Models. CoRR abs/2312.06185 (2023) - 2022
- [i16]Qiaoyu Tan, Ninghao Liu, Xiao Huang, Rui Chen, Soo-Hyun Choi, Xia Hu:
MGAE: Masked Autoencoders for Self-Supervised Learning on Graphs. CoRR abs/2201.02534 (2022) - [i15]Song Wang, Yushun Dong, Xiao Huang, Chen Chen, Jundong Li:
FAITH: Few-Shot Graph Classification with Hierarchical Task Graphs. CoRR abs/2205.02435 (2022) - [i14]Xin Zhang, Qiaoyu Tan, Xiao Huang, Bo Li:
Graph Contrastive Learning with Personalized Augmentation. CoRR abs/2209.06560 (2022) - [i13]Hao Chen, Zefan Wang, Yue Xu, Xiao Huang, Feiran Huang:
GPatch: Patching Graph Neural Networks for Cold-Start Recommendations. CoRR abs/2209.12215 (2022) - [i12]Zirui Liu, Shengyuan Chen, Kaixiong Zhou, Daochen Zha, Xiao Huang, Xia Hu:
RSC: Accelerating Graph Neural Networks Training via Randomized Sparse Computations. CoRR abs/2210.10737 (2022) - [i11]Kaixiong Zhou, Zhenyu Zhang, Shengyuan Chen, Tianlong Chen, Xiao Huang, Zhangyang Wang, Xia Hu:
QuanGCN: Noise-Adaptive Training for Robust Quantum Graph Convolutional Networks. CoRR abs/2211.07379 (2022) - [i10]Qinggang Zhang, Junnan Dong, Keyu Duan, Xiao Huang, Yezi Liu, Linchuan Xu:
Contrastive Knowledge Graph Error Detection. CoRR abs/2211.10030 (2022) - [i9]Cameron Diao, Kaixiong Zhou, Xiao Huang, Xia Hu:
MolCPT: Molecule Continuous Prompt Tuning to Generalize Molecular Representation Learning. CoRR abs/2212.10614 (2022) - 2021
- [i8]Qiaoyu Tan, Jianwei Zhang, Ninghao Liu, Xiao Huang, Hongxia Yang, Jingren Zhou, Xia Hu:
Dynamic Memory based Attention Network for Sequential Recommendation. CoRR abs/2102.09269 (2021) - [i7]Kaixiong Zhou, Xiao Huang, Daochen Zha, Rui Chen, Li Li, Soo-Hyun Choi, Xia Hu:
Dirichlet Energy Constrained Learning for Deep Graph Neural Networks. CoRR abs/2107.02392 (2021) - 2020
- [i6]Kaixiong Zhou, Xiao Huang, Yuening Li, Daochen Zha, Rui Chen, Xia Hu:
Towards Deeper Graph Neural Networks with Differentiable Group Normalization. CoRR abs/2006.06972 (2020) - 2019
- [i5]Qingquan Song, Haifeng Jin, Xiao Huang, Xia Hu:
Multi-Label Adversarial Perturbations. CoRR abs/1901.00546 (2019) - [i4]Yuening Li, Xiao Huang, Jundong Li, Mengnan Du, Na Zou:
SpecAE: Spectral AutoEncoder for Anomaly Detection in Attributed Networks. CoRR abs/1908.03849 (2019) - [i3]Kaixiong Zhou, Qingquan Song, Xiao Huang, Xia Hu:
Auto-GNN: Neural Architecture Search of Graph Neural Networks. CoRR abs/1909.03184 (2019) - [i2]Kaixiong Zhou, Qingquan Song, Xiao Huang, Daochen Zha, Na Zou, Xia Hu:
Multi-Channel Graph Convolutional Networks. CoRR abs/1912.08306 (2019) - 2015
- [i1]Xiao Huang, Salim El Rouayheb:
Index Coding and Network Coding via Rank Minimization. CoRR abs/1504.06844 (2015)
Coauthor Index
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last updated on 2024-11-14 00:56 CET by the dblp team
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