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Full Publication List of Xiao HUANG

  1. Shuang Zhou, Daochen Zha, Xiao Shen, Xiao Huang, Rui Zhang, Korris Chung, Denoising-Aware Contrastive Learning for Noisy Time Series, IJCAI, 2024

  2. Xinrun Wang, Chang Yang, Shuxin Li, Pengdeng Li, Xiao Huang, Hau Chan, Bo An, Reinforcement Nash Equilibrium Solver, IJCAI, 2024

  3. 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

  4. 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, TheWebConf, 2024

  5. 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, TheWebConf, 2024

  6. Beiyu Song, Huachi Zhou, Xiao Huang, Wei Ma, Collaborative Parking Vacancy Prediction for Cities With Partial Sensors Missing, IEEE Transactions on Intelligent Transportation Systems, 2024 (IEEE version)

  7. Xin Zhang, Qiaoyu Tan, Xiao Huang, Bo Li, Graph Contrastive Learning with Personalized Augmentation, IEEE Transactions on Knowledge and Data Engineering, 2024

  8. 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, arXiv preprint arXiv:2402.12728, 2024

  9. Qinggang Zhang, Junnan Dong, Hao Chen, Wentao Li, Feiran Huang, Xiao Huang, Structure Guided Large Language Model for SQL Generation, arXiv preprint arXiv:2402.13284, 2024

  10. Zijin Hong, Zheng Yuan, Hao Chen, Qinggang Zhang, Feiran Huang, Xiao Huang, Knowledge-to-SQL: Enhancing SQL Generation with Data Expert LLM, arXiv preprint arXiv:2402.11517, 2024

  11. Qinggang Zhang, Junnan Dong, Hao Chen, Daochen Zha, Zailiang Yu, Xiao Huang, KnowGPT: Knowledge Injection for Large Language Models, arXiv preprint arXiv:2312.06185, 2024

  12. Song Wang, Yushun Dong, Xiao Huang, Chen Chen, Jundong Li, Learning Hierarchical Task Structures for Few-shot Graph Classification, ACM Transactions on Knowledge Discovery from Data, 2024

  13. Hanyu Sun, Xiao Huang, Wei Ma, Beyond Prediction: On-street Parking Recommendation using Heterogeneous Graph-based List-wise Ranking, IEEE Transactions on Intelligent Transportation Systems, 2023

  14. Liqiao Xia, Zheng Pai, Jinjie Li, Xiao Huang, Robert Gao, Histogram-Based Gradient Boosting Tree: A Federated Learning Approach for Collaborative Fault Diagnosis, IEEE/ASME Transactions on Mechatronics, 2023

  15. Zeping Feng, Newman Lau, Mengxiao Zhu, Mengru Liu, Rehe Refati, Xiao Huang, Kun‐pyo Lee1, Behavioural design of gamification elements and exploration of player types in youth basketball training, Smart Learning Environments, 2023

  16. Qiaoyu Tan, Xin Zhang, Jiahe Du, Xiao Huang, Graph Neural Networks with Non-Recursive Message Passing, IEEE International Conference on Data Mining Workshops, 2023

  17. 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, International Conference on Web-Based Learning (ICWL), 2023

  18. Shengyuan Chen, Yunfeng Cai, Huang Fang, Xiao Huang, Mingming Sun, Differentiable Neuro-Symbolic Reasoning on Large-Scale Knowledge Graphs, NeurIPS, 2023

  19. Qinggang Zhang, Junnan Dong, Qiaoyu Tan, Xiao Huang, Integrating Entity Attributes for Error-Aware Knowledge Graph Embedding, IEEE Transactions on Knowledge and Data Engineering, 2023

  20. 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

  21. Qiaoyu Tan, Xin Zhang, Xiao Huang, Hao Chen, Jundong Li, Xia Hu, Collaborative Graph Neural Networks for Attributed Network Embedding, IEEE Transactions on Knowledge and Data Engineering, 2023

  22. Zirui Liu, Shengyuan Chen, Kaixiong Zhou, Daochen Zha, Xiao Huang, Xia Hu, RSC: Accelerating Graph Neural Networks Training via Randomized Sparse Computation, ICML, 2023

  23. Huachi Zhou, Hao Chen, Junnan Dong, Daochen Zha, Chuang Zhou, Xiao Huang, Adaptive Popularity Debiasing Aggregator for Graph Collaborative Filtering, SIGIR, 2023 (ACM version)

  24. Feiran Huang, Zefan Wang, Xiao Huang, Yufeng Qian, Zhetao Li, Hao Chen, Aligning Distillation For Cold-start Item Recommendation, SIGIR, 2023 (ACM version)

  25. Junnan Dong, Qinggang Zhang, Xiao Huang, Keyu Duan, Qiaoyu Tan, Zhimeng Jiang, Hierarchy-Aware Multi-Hop Question Answering over Knowledge Graphs, TheWebConf, 2023 (ACM version)

  26. 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 Transactions on Knowledge and Data Engineering, 2023

  27. 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, Towards an Edu-Metaverse of Knowledge: Immersive Exploration of University Courses, IEEE Transactions on Learning Technologies, 2023

  28. Yezi Liu, Qinggang Zhang, Mengnan Du, Xiao Huang, Xia Hu, Error Detection on Knowledge Graphs with Triple Embedding, EUSIPCO, 2023

  29. Rui Chen, Guotao Liang, Chenrui Ma, Qilong Han, Li Li, Xiao Huang, HTP: Exploiting Holistic Temporal Patterns for Sequential Recommendation, IJCNN, 2023

  30. Huachi Zhou, Shuang Zhou, Keyu Duan, Xiao Huang, Qiaoyu Tan, Zailiang Yu, Interest Driven Graph Structure Learning for Session-Based Recommendation, PAKDD, 2023

  31. Junnan Dong, Qinggang Zhang, Xiao Huang, Qiaoyu Tan, Daochen Zha, Zihao Zhao, Active Ensemble Learning for Knowledge Graph Error Detection, WSDM, 2023 (ACM version)

  32. 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

  33. Jerry Cheuk Kin 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

  34. 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

  35. 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

  36. Qinggang Zhang, Junnan Dong, Keyu Duan, Xiao Huang, Yezi Liu, Linchuan Xu, Contrastive Knowledge Graph Error Detection, CIKM, 2022 (ACM version)

  37. 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 (ACM version)

  38. Kaixiong Zhou, Zhenyu Zhang, Shengyuan Chen, Tianlong Chen, Xiao Huang, Zhangyang Wang, Xia Hu, QuanGCN: Noise-Adaptive Training for Robust Quantum Graph Convolutional Networks, QTML, 2022

  39. Cheng Peng, Hao Jiang, Junnan Dong, Xiao Huang, College-Related Question Answering based on Knowledge Graph, IEEE Data Engineering Bulletin, pages 60-71, 2022

  40. 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 Transactions on Instrumentation and Measurement, 2022

  41. Kaixiong Zhou, Xiao Huang, Qingquan Song, Rui Chen, Xia Hu, Auto-GNN: Neural architecture search of graph neural networks, Frontiers in Big Data, 2022

  42. Qing Li, George Baciu, Jiannong Cao, Xiao Huang, Richard Chen Li, Peter HF Ng, Junnan Dong, Qinggang Zhang, Zackary Sin, Yaowei Wang, KCUBE: A Knowledge Graph University Curriculum Framework for Student Advising and Career Planning, International Conference on Blended Learning, 2022

  43. Zhihao Guo, Shengyuan Chen, Xiao Huang, Zhiqiang Qian, Chunsing Yu, Yan Xu, Fang Ding, Fair Benchmark for Unsupervised Node Representation Learning, Algorithms, volume 15, issue 10, 2022

  44. Song Wang, Yushun Dong, Xiao Huang, Chen Chen, Jundong Li, FAITH: Few-Shot Graph Classification with Hierarchical Task Graphs, IJCAI, 2022

  45. 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

  46. Zhiming Xu, Xiao Huang, Yue Zhao, Yushun Dong, Jundong Li, Contrastive Attributed Network Anomaly Detection with Data Augmentation, PAKDD, 2022

  47. Shuang Zhou, Xiao Huang, Ninghao Liu, Qiaoyu Tan, Fu-Lai Chung, Unseen Anomaly Detection on Networks via Multi-Hpersphere Learning, SDM, 2022

  48. 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

  49. Song Wang, Xiao Huang, Chen Chen, Liang Wu, Jundong Li, REFORM: Error-Aware Few-Shot Knowledge Graph Completion, CIKM, 2021

  50. Shuang Zhou, Qiaoyu Tan, Zhiming Xu, Xiao Huang, Fu-Lai Chung, Subtractive Aggregation for Attributed Network Anomaly Detection, CIKM, 2021 (ACM version)

  51. Ji Gao, Xiao Huang, Jundong Li, Unsupervised Graph Alignment with Wasserstein Distance Discriminator, KDD, 2021

  52. Huachi Zhou, Qiaoyu Tan, Xiao Huang, Kaixiong Zhou, Xiaoling Wang, Temporal Augmented Graph Neural Networks for Session-Based Recommendations, SIGIR, 2021 (ACM version, Slides, Video)

  53. 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, Journal of Intelligent Manufacturing, 2021

  54. Qiaoyu Tan, Jianwei Zhang, Ninghao Liu, Xiao Huang, Hongxia Yang, Jingren Zhou, Xia Hu, Dynamic Memory based Attention Network for Sequential Recommendation, AAAI, 2021

  55. Kaixiong Zhou, Xiao Huang, Yuening Li, Daochen Zha, Rui Chen, Xia Hu, Towards Deeper Graph Neural Networks with Differentiable Group Normalization, NeurIPS, 2020

  56. Kaixiong Zhou, Qingquan Song, Xiao Huang, Daochen Zha, Na Zou, Xia Hu, Multi-Channel Graph Neural Networks, IJCAI, 2020

  57. Yan Zhong, Xiao Huang, Jundong Li, Xia Hu, Scalable Social Tie Strength Measuring, ASONAM, 2020

  58. Xiao Huang, Qingquan Song, Yuening Li, Xia Hu, Graph Recurrent Networks With Attributed Random Walks, KDD, 2019 (Slides, Code)

  59. Xiao Huang, Jingyuan Zhang, Dingcheng Li, Ping Li, Knowledge Graph Embedding Based Question Answering, WSDM 2019 (ACM version, Slides, Code)

  60. Xiao Huang, Qingquan Song, Fan Yang, Xia Hu, Large-Scale Heterogeneous Feature Embedding, AAAI, 2019 (Slides, Code)

  61. Yuening Li, Xiao Huang, Jundong Li, Mengnan Du, Na Zou, SpecAE: Spectral AutoEncoder for Anomaly Detection in Attributed Networks, CIKM, 2019

  62. Xiao Huang, Jundong Li, Na Zou, Xia Hu, A General Embedding Framework for Heterogeneous Information Learning in Large-Scale Networks, ACM Transactions on Knowledge Discovery from Data, 2018 (Slides, Code)

  63. Xiao Huang, Qingquan Song, Jundong Li, Xia Hu, Exploring Expert Cognition for Attributed Network Embedding, WSDM, pages 270–278, 2018 (ACM version, Slides, Code)

  64. Ninghao Liu, Xiao Huang, Jundong Li, Xia Hu, On Interpretation of Network Embedding via Taxonomy Induction, KDD, 2018

  65. Qingquan Song, Haifeng Jin, Xiao Huang, Xia Hu, Multi-Label Adversarial Perturbations, ICDM, 2018

  66. Zepeng Huo, Xiao Huang, Xia Hu, Link Prediction with Personalized Social Influence, AAAI, 2018

  67. Na Zou, Xiao Huang, Empirical Bayes Transfer Learning for Uncertainty Characterization in Predicting Parkinson's Disease Severity, IISE Transactions on Healthcare Systems Engineering, 2018

  68. Xiao Huang, Jundong Li, Xia Hu, Label Informed Attributed Network Embedding, WSDM, 2017 (ACM version, Slides, Code)

  69. Xiao Huang, Jundong Li, Xia Hu, Accelerated Attributed Network Embedding, SDM, 2017 (Full version, Slides, Code)

  70. Qingquan Song, Xiao Huang, Hancheng Ge, James Caverlee, Xia Hu, Multi-Aspect Streaming Tensor Completion, KDD, pages 435–443, 2017

  71. Ninghao Liu, Xiao Huang, Xia Hu, Accelerated Local Anomaly Detection via Resolving Attributed Networks, IJCAI, pages 2337–2343, 2017

  72. Xiao Huang, Salim El Rouayheb, Index Coding and Network Coding via Rank Minimization, ITW, pages 14-18, 2015 (Slides, Code, Tutorial)