Full Publication List of Xiao HUANG

NeurIPS ICML ICLR ACL KDD AAAI theWebConf
7 4 3 10 9 6 4
WSDM SIGIR IJCAI EMNLP CIKM PAKDD TKDE
5 4 6 2 7 3 7

  1. Zijin Hong, Hao Chen, Zheng Yuan, Qinggang Zhang, Luyao Zhuang, Qing Liao, Feiran Huang, Yangqiu Song, Xiao Huang, ErrorLLM: Modeling SQL Errors for Text-to-SQL Refinement, KDD, 2026.

  2. Huachi Zhou, Jiahe Du, Yujing Zhang, Luyao Zhuang, Chang Yang, Zijin Hong, Jiaqi Bai, Qinggang Zhang, Kaixiong Zhou, Xiao Huang, ReLU: Refined Chunk Embeddings Learning for Ultra-long SNP Genomic Prediction in Crop Breeding, KDD, 2026

  3. Yilin Xiao, Jin Chen, Qinggang Zhang, Yujing Zhang, Chuang Zhou, Longhao Yang, Lingfei Ren, Xin Yang, Xiao Huang, LogicPoison: Logical Attacks on Graph Retrieval-Augmented Generation, ACL, 2026.

  4. Chuang Zhou, Junnan Dong, Yilin Xiao, Shengyuan Chen, Su Dong, di yin, Xing Sun, Zhaozhuo Xu, Xiao Huang, Query-Aware Knowledge Retrieval via Hyperbolic Structuring, ACL, 2026.

  5. Chuang Zhou, Zheng Yuan, Linhao Luo, Zhaozhuo Xu, Yilin Xiao, Junnan Dong, Siyu An, Di Yin, Xing Sun, Xiao Huang, Collision to Cognition: Hash-Driven Graph Construction for Efficient RAG, ACL, 2026.

  6. Zerui Chen, Qinggang Zhang, Zhishang Xiang, Zhimin Wei, Linfeng Gao, Xiao Huang, Zhihong Zhang, Jinsong Su, LegalGraphRAG: Multi-Agent Graph Retrieval-Augmented Generation for Reliable Legal Reasoning, ACL, 2026.

  7. Junzhe Jiang, Chang Yang, Aixin Cui, Sihan Jin, Yujing Zhang, Yilin Xiao, Ruiyu Wang, Bo Li, Xiao Huang, Danny Dongning Sun, Xinrun Wang, FinMaster: A Holistic Benchmark for Full-Pipeline Financial Management with Large Language Models, ACL (Findings), 2026.

  8. Jiaxi li, Yucheng Shi, Xiao Huang, Jin Lu, Ninghao Liu, MITS: Enhanced Tree Search Reasoning for LLMs via Pointwise Mutual Information, PAKDD, 2026.

  9. Luyao Zhuang, Shengyuan Chen, Yilin Xiao, Huachi Zhou, Yujing Zhang, Hao Chen, Qinggang Zhang, Xiao Huang, LinearRAG: Linear Graph Retrieval Augmented Generation on Large-scale Corpora, ICLR, 2026 (Code).

  10. Junnan Dong, Siyu An, Yifei Yu, Qian-Wen Zhang, Linhao Luo, Xiao Huang, Yunsheng Wu, Di Yin, Xing Sun, Youtu-GraphRAG: Vertically Unified Agents for Graph Retrieval-Augmented Complex Reasoning, ICLR, 2026.

  11. Zhishang Xiang, Chuanjie Wu, Qinggang Zhang, Shengyuan Chen, Zijin Hong, Xiao Huang, Jinsong Su, When to use Graphs in RAG: A Comprehensive Analysis for Graph Retrieval-Augmented Generation, ICLR, 2026.

  12. Chang Yang, Xinrun Wang, Junzhe Jiang, Qinggang Zhang, Xiao Huang, LLM-Based World Models Can Make Decisions Solely, But Rigorous Evaluations are Needed, Transactions on Machine Learning Research, 2026.

  13. Luyao Zhuang, Qinggang Zhang, Huachi Zhou, Yujing Zhang, Xiao Huang, LoSemB: Logic-Guided Semantic Bridging for Inductive Tool Retrieval, theWebConf, 2026.

  14. Huachi Zhou, Yujing Zhang, Hao Chen, Qinggang Zhang, Qijie Shen, Feiran Huang, Xiao Huang, LLM Collaborative Filtering: User-Item Graph as New Language, AAAI, 2026.

  15. Shengyuan Chen, Chuang Zhou, Zheng Yuan, Qinggang Zhang, Zeyang Cui, Hao Chen, Yilin Xiao, Jiannong Cao, Xiao Huang, You Don't Need Pre-built Graphs for RAG: Retrieval Augmented Generation with Adaptive Reasoning Structures, AAAI, 2026.

  16. Zijin Hong, Hao Wu, Su Dong, Junnan Dong, Yujing Zhang, Yilin Xiao, Zhu Wang, Feiran Huang, Linyi Li, Hongxia Yang, Xiao Huang, Benchmarking LLMs’ Mathematical Reasoning with Unseen Random Variables Questions, AAAI, 2026.

  17. Yilin Xiao, Chuang Zhou, Qinggang Zhang, Bo Li, Qing Li, Xiao Huang, Reliable Reasoning Path: Distilling Effective Guidance for LLM Reasoning with Knowledge Graphs, IEEE Transactions on Knowledge and Data Engineering, 2026.

  18. Zheng Yuan, Hao Chen, Zijin Hong, Qinggang Zhang, Feiran Huang, Qing Li, Xiao Huang, Knapsack Optimization-based Schema Linking for LLM-based Text-to-SQL Generation, ICDE, 2026.

  19. Chang Yang, Ruiyu Wang, Junzhe Jiang, Qi Jiang, Qinggang Zhang, Yanchen Deng, Shuxin Li, Shuyue Hu, Bo Li, Florian T. Pokorny, Xiao Huang, Xinrun Wang, Nondeterministic Polynomial-time Problem Challenge: An Ever-Scaling Reasoning Benchmark for LLMs, Transactions on Machine Learning Research, 2026.

  20. Chang Yang, Chuang Zhou, Yilin Xiao, Su Dong, Luyao Zhuang, Yujing Zhang, Zhu Wang, Zijin Hong, Zheng Yuan, Zhishang Xiang, Shengyuan Chen, Huachi Zhou, Qinggang Zhang, Ninghao Liu, Jinsong Su, Xinrun Wang, Yi Chang, Xiao Huang, Graph-based Agent Memory: Taxonomy, Techniques, and Applications, arXiv preprint arXiv:2602.05665, 2026.

  21. Su Dong, Qinggang Zhang, Yilin Xiao, Shengyuan Chen, Chuang Zhou, Xiao Huang, Use Graph When It Needs: Efficiently and Adaptively Integrating Retrieval-Augmented Generation with Graphs, arXiv preprint arXiv:2602.03578, 2026.

  22. Yilin Xiao, Chuang Zhou, Qinggang Zhang, Su Dong, Shengyuan Chen, Xiao Huang, LAG: Logic-Augmented Generation from a Cartesian Perspective, arXiv preprint arXiv:2508.05509, 2025.

  23. Yilin Xiao, Junnan Dong, Chuang Zhou, Su Dong, Qianwen Zhang, Di Yin, Xing Sun, Xiao Huang, GraphRAG-Bench: Challenging Domain-Specific Reasoning for Evaluating Graph Retrieval-Augmented Generation, arXiv preprint arXiv:2506.02404, 2025.

  24. Qinggang Zhang, Shengyuan Chen, Yuanchen Bei, Zheng Yuan, Huachi Zhou, Zijin Hong, Junnan Dong, Hao Chen, Yi Chang, Xiao Huang, A Survey of Graph Retrieval-Augmented Generation for Customized Large Language Models, arXiv preprint arXiv:2501.13958, 2025.

  25. Junnan Dong, Zijin Hong, Yuanchen Bei, Feiran Huang, Xinrun Wang, Xiao Huang, CLR-Bench: Evaluating Large Language Models in College-level Reasoning, arXiv preprint arXiv:2410.17558, 2024.

  26. Shuxin Li, Chang Yang, Youzhi Zhang, Pengdeng Li, Xinrun Wang, Xiao Huang, Hau Chan, Bo An, In-Context Exploiter for Extensive-Form Games, arXiv preprint arXiv:2408.05575, 2024.

  27. Shengyuan Chen, Zheng Yuan, Qinggang Zhang, Wen Hua, Jiannong Cao, Xiao Huang, NeuSymEA: Neuro-Symbolic Entity Alignment via Variational Inference, NeurIPS, 2025.

  28. 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, IEEE Transactions on Knowledge and Data Engineering, 2025.

  29. Chang Yang, Xinrun Wang, Qinggang Zhang, Qi Jiang, Xiao Huang, Efficient Integration of External Knowledge to LLM-based World Models via Retrieval-Augmented Generation and Reinforcement Learning, EMNLP (Findings), 2025.

  30. Huachi Zhou, Kaijing Yu, Qinggang Zhang, Hao Chen, Daochen Zha, Wenqi Pei, Anthony Kong, Xiao Huang, Self-Monitoring Large Language Models for Click-Through Rate Prediction, ACM Transactions on Information Systems, 2025.

  31. Huachi Zhou, Jiahe Du, Chuang Zhou, Chang Yang, Yilin Xiao, Yuxuan Xie, Xiao Huang, Each Graph is a New Language: Graph Learning with LLMs, ACL (Findings), 2025. (Code)

  32. Chuang Zhou, Zhu Wang, Shengyuan Chen, Jiahe Du, Qiyuan Zheng, Zhaozhuo Xu, Xiao Huang, Taming Language Models for Text-attributed Graph Learning with Decoupled Aggregation, ACL, 2025.

  33. Qinggang Zhang, Hao Chen, Junnan Dong, Shengyuan Chen, Feiran Huang, Xiao Huang, Structure-Guided Large Language Model for Text-to-SQL Generation, ICML, 2025 (Slides).

  34. Jiahe Du, Kaixiong Zhou, Xinyu Hong, Zhaozhuo Xu, Jinbo Xu, Xiao Huang, Retrieval Augmented Zero-Shot Enzyme Generation for Specified Substrate, ICML, 2025.

  35. Qijie Shen, Yuanchen Bei, Zihong Huang, Jialin Zhu, Keqin Xu, Boya Du, Jiawei Tang, Yuning Jiang, Feiran Huang, Xiao Huang, Hao Chen, AliBoost: Ecological Boosting Framework in Alibaba Platform, KDD, 2025.

  36. Chuang Zhou, Jiahe Du, Huachi Zhou, Hao Chen, Feiran Huang, Xiao Huang, Text-Attributed Graph Learning with Coupled Augmentations, COLING, 2025.

  37. Ye Jia, Chen Li, Zackary P.T. Sin, Xiangzhi Eric Wang, Jiongning Lian, Peter H.F. Ng, Xiao Huang, George Baciu, Jiannong Cao, Qing Li, Towards AI-Assisted Immersive Learning: Factor Analysis of Learning Effect in K-Cube Edu-Metaverse, IEEE Smart World Congress, 2025.

  38. Ye Jia, Zackary P.T. Sin, Chen Li, Peter H.F. Ng, Xiao Huang, George Baciu, Jiannong Cao, Qing Li, Traceable teleportation: Improving spatial learning in virtual locomotion, International Journal of Human-Computer Studies, 2025.

  39. Mengfan Li, Xuanhua Shi, Chenqi Qiao, Xiao Huang, Weihao Wang, Yao Wan, Teng Zhang, Hai Jin, E2CNN: entity-type-enriched cascaded neural network for Chinese financial relation extraction, Frontiers of Computer Science, 2025.

  40. Zhaoqing Li, Maiqi Jiang, Shengyuan Chen, Bo Li, Guorong Chen, Xiao Huang, Automated Heterogeneous Network learning with Non-Recursive Message Passing, arXiv preprint arXiv:2501.07598, 2025.

  41. Qinggang Zhang, Junnan Dong, Hao Chen, Daochen Zha, Zailiang Yu, Xiao Huang, KnowGPT: Knowledge Graph based PrompTing for Large Language Models, NeurIPS, 2024.

  42. Junnan Dong, Qinggang Zhang, Chuang Zhou, Hao Chen, Daochen Zha, Xiao Huang, Cost-efficient Knowledge-based Question Answering with Large Language Models, NeurIPS, 2024.

  43. Shengyuan Chen, Qinggang Zhang, Junnan Dong, Wen Hua, Qing Li, Xiao Huang, Entity Alignment with Noisy Annotations from Large Language Models, NeurIPS, 2024.

  44. Liqiao Xia, Junming Fan, Ajith Parlikad, Xiao Huang, Pai Zheng, Unlocking Large Language Model Power in Industry: Privacy-Preserving Collaborative Creation of Knowledge Graph, IEEE Transactions on Big Data, 2024.

  45. 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, 2024.

  46. Huachi Zhou, Shuang Zhou, Hao Chen, Ninghao Liu, Fan Yang, Xiao Huang, Enhancing Explainable Rating Prediction through Annotated Macro Concepts, ACL, 2024.

  47. 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.

  48. Chuang Zhou, Junnan Dong, Xiao Huang, Zirui Liu, Kaixiong Zhou, Zhaozhuo Xu, QUEST: Efficient Extreme Multi-Label Text Classification with Large Language Models on Commodity Hardware, EMNLP (Findings), 2024.

  49. Hao Chen, Yuanchen Bei, Wenbing Huang, Shengyuan Chen, Feiran Huang, Xiao Huang, Graph Cross-Correlated Network for Recommendation, IEEE Transactions on Knowledge and Data Engineering, 2024.

  50. Qinggang Zhang, Keyu Duan, Junnan Dong, Pai Zheng, Xiao Huang, Logical Reasoning with Relation Network for Inductive Knowledge Graph Completion, KDD, 2024.

  51. 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.

  52. Ye Jia, Zackary P.T. Sin, Xiangzhi Eric Wang, Chen Li, Peter HF Ng, Xiao Huang, Junnan Dong, Yaowei Wang, George Baciu, Jiannong Cao, Qing Li, NivTA: Towards a Naturally Interactable Edu-Metaverse Teaching Assistant for CAVE, IEEE MetaCom, 2024.

  53. 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, 2024.

  54. Weijun Chen, Yuanchen Bei, Qijie Shen, Hao Chen, Xiao Huang, Feiran Huang, Feedback Reciprocal Graph Collaborative Filtering, CIKM, 2024.

  55. 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.

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

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

  58. 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.

  59. 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 (ACM version).

  60. 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 (ACM version).

  61. 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 Transactions on Learning Technologies, 2024.

  62. 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).

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

  64. Qinggang Zhang, Junnan Dong, Qiaoyu Tan, Xiao Huang, Integrating Entity Attributes for Error-Aware Knowledge Graph Embedding, IEEE Transactions on Knowledge and Data Engineering, 2024 (IEEE version).

  65. 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.

  66. 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, 2024.

  67. 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.

  68. Liqiao Xia, Pai Zheng, 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.

  69. 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 Learning Environments, 2023.

  70. 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.

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

  72. 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.

  73. 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.

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

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

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

  77. 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).

  78. 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.

  79. 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.

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

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

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

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

  84. 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.

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

  86. Cameron Diao, Kaixiong Zhou, Zirui Liu, Xiao Huang, Xia Hu, MolCPT: Molecule Continuous Prompt Tuning to Generalize Molecular Representation Learning, arXiv preprint arXiv:2212.10614, 2023.

  87. 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.

  88. 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.

  89. 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.

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

  91. 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).

  92. 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.

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

  94. Liqiao Xia, Yongshi Liang, Pai Zheng, Xiao Huang, Residual-Hypergraphb Convolution Network: A Model-Based and Data-Driven Integrated Approach for Fault Diagnosis in Complex Equipment, IEEE Transactions on Instrumentation and Measurement, 2022.

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

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

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

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

  99. 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.

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

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

  102. 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.

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

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

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

  106. 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).

  107. 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.

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

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

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

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

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

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

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

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

  116. 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).

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

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

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

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

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

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

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

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

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

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