Full Publication List of Xiao HUANG

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

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

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

Modality-Aware Integration with Large Language Models for Knowledge-based Visual Question Answering, Junnan Dong, Qinggang Zhang, Huachi Zhou, Daochen Zha, Pai Zheng, Xiao Huang, ACL, 2024.

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

Knowledge-to-SQL: Enhancing SQL Generation with Data Expert LLM, Zijin Hong, Zheng Yuan, Hao Chen, Qinggang Zhang, Feiran Huang, Xiao Huang, ACL (Findings), 2024.

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

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

Traceable teleportation: Improving spatial learning in virtual locomotion, Ye Jia, Zackary P.T. Sin, Chen Li, Peter H.F. Ng, Xiao Huang, George Baciu, Jiannong Cao, Qing Li, International Journal of Human-Computer Studies, 2024.

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

Multi-Behavior Collaborative Filtering with Partial Order Graph Convolutional Networks, Yijie Zhang, Yuanchen Bei, Hao Chen, Qijie Shen, Zheng Yuan, Huan Gong, Senzhang Wang, Feiran Huang, Xiao Huang, KDD, 2024.

Open-World Electrocardiogram Classification via Domain Knowledge-Driven Contrastive Learning, Shuang Zhou, Xiao Huang, Ninghao Liu, Wen Zhang, Yuan-Ting Zhang, Fu-Lai Chung, Neural Networks, 2024.

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

Configurable Mirror Descent: Towards a Unification of Decision Making, Pengdeng Li, Shuxin Li, Chang Yang, Xinrun Wang, Shuyue Hu, Xiao Huang, Hau Chan, Bo An, ICML, 2024.

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

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

Self-adaptive PSRO: Towards an Automatic Population-based Game Solver, Pengdeng Li, Shuxin Li, Chang Yang, Xinrun Wang, Xiao Huang, Hau Chan, Bo An, IJCAI, 2024.

Macro Graph Neural Networks for Online Billion-Scale Recommender Systems, Hao Chen, Yuanchen Bei, Qijie Shen, Yue Xu, Sheng Zhou, Wenbing Huang, Feiran Huang, Senzhang Wang, Xiao Huang, TheWebConf, 2024 (ACM version).

Could Small Language Models Serve as Recommenders? Towards Data-centric Cold-start Recommendation, Xuansheng Wu, Huachi Zhou, Yucheng Shi, Wenlin Yao, Xiao Huang, Ninghao Liu, TheWebConf, 2024 (ACM version).

Knowledge-Graph-Driven Mind Mapping for Immersive Collaborative Learning: A Pilot Study in Edu-Metaverse, Ye Jia, Xiangzhi Eric Wang, Zackary P. T. Sin, Chen Li, Peter H. F. Ng, Xiao Huang, George Baciu, Jiannong Cao, Qing Li, IEEE Transactions on Learning Technologies, 2024.

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

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

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

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

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

Next-Generation Database Interfaces: A Survey of LLM-based Text-to-SQL, Zijin Hong, Zheng Yuan, Qinggang Zhang, Hao Chen, Junnan Dong, Feiran Huang, Xiao Huang, arXiv preprint arXiv.2406.08426, 2024.

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

Neuro-Symbolic Entity Alignment via Variational Inference, Shengyuan Chen, Qinggang Zhang, Junnan Dong, Wen Hua, Jiannong Cao, Xiao Huang, arXiv preprint arXiv:2410.04153, 2024.

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

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

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

Behavioural Design of Gamification Elements and Exploration of Player Types in Youth Basketball Training, Zeping Feng, Newman Lau, Mengxiao Zhu, Mengru Liu, Rehe Refati, Xiao Huang, Kun‐pyo Lee, Smart Learning Environments, 2023.

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

Gradual Study Advising with Course Knowledge Graphs, Junnan Dong, Wentao Li, Yaowei Wang, Qing Li, George Baciu, Jiannong Cao, Xiao Huang, Richard Chen Li, Peter H. F. Ng, International Conference on Web-Based Learning (ICWL), 2023.

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

Non-Recursive Cluster-Scale Graph Interacted Model for Click-Through Rate Prediction, Yuanchen Bei, Hao Chen, Shengyuan Chen, Xiao Huang, Sheng Zhou, Feiran Huang, CIKM, 2023.

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

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

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

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

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

Improving Generalizability of Graph Anomaly Detection Models via Data Augmentation, Shuang Zhou, Xiao Huang, Ninghao Liu, Huachi Zhou, Fu-Lai Chung, Long-Kai Huang, IEEE Transactions on Knowledge and Data Engineering, 2023.

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

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

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

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

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

S2GAE: Self-Supervised Graph Autoencoders Are Generalizable Learners with Graph Masking, Qiaoyu Tan, Ninghao Liu, Xiao Huang, Soo-Hyun Choi, Li Li, Rui Chen, Xia Hu, WSDM, 2023.

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

Intelligent Instructional Design via Interactive Knowledge Graph Editing, Jerry Cheuk Kin Chan, Yaowei Wang, Qing Li, George Baciu, Jiannong Cao, Xiao Huang, Richard Chen Li, Peter H. F. Ng, ICWL, 2022.

Constructing Low-Redundant and High-Accuracy Knowledge Graphs for Education, Wentao Li, Huachi Zhou, Junnan Dong, Qinggang Zhang, Qing Li, George Baciu, Jiannong Cao, Xiao Huang, ICWL, 2022.

Towards a Metaverse of Knowledge: A Constructivist Proposition on Immersive Learning and Visual Literacy, 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, ICWL, 2022.

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

Multi-Interest Refinement by Collaborative Attributes Modeling for Click-Through Rate Prediction, Huachi Zhou, Jiaqi Fan, Xiao Huang, Ka Ho Li, Zhenyu Tang, Dahai Yu, CIKM, 2022 (ACM version).

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

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

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

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

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

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

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

Generative Adversarial Framework for Cold-Start Item Recommendation, Hao Chen, Zefan Wang, Feiran Huang, Xiao Huang, Yue Xu, Yishi Lin, Peng He, Zhoujun Li, SIGIR, 2022.

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

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

Dirichlet Energy Constrained Learning for Deep Graph Neural Networks, Kaixiong Zhou, Xiao Huang, Daochen Zha, Rui Chen, Li Li, Soo-Hyun Choi, Xia Hu, NeurIPS, 2021.

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

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

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

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

A Novel Hypergraph Convolution Network-Based Approach for Predicting the Material Removal Rate in Chemical Mechanical Planarization, Liqiao Xia, Pai Zheng, Xiao Huang, Chao Liu, Journal of Intelligent Manufacturing, 2021.

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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