Xiao Huang

166 papers A* 38A 16B 3Journal 89Unranked 20
YearRankTypeTitle / Venue / Authors
2026 A* conf
Benchmarking LLMs' Mathematical Reasoning with Unseen Random Variables Questions.
AAAI
Zijin Hong, Hao Wu, Su Dong, Junnan Dong, Yilin Xiao, Yujing Zhang, Zhu Wang, Feiran Huang, Linyi Li, Hongxia Yang, Xiao Huang
2026 J jnl
ErrorLLM: Modeling SQL Errors for Text-to-SQL Refinement.
CoRR
Zijin Hong, Hao Chen, Zheng Yuan, Qinggang Zhang, Luyao Zhuang, Qing Li, Feiran Huang, Yangqiu Song, Xiao Huang
2026 J jnl
Graph-based Agent Memory: Taxonomy, Techniques, and Applications.
CoRR
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
2026 J jnl
Intelligent selection algorithm of vision guided feeding path for AGV car transporting cigarette accessories.
Array
Zhiyuan Liang, Pengtao He, Xiao Huang, Xiaolei Zhao, Bin Wei, Weili Zeng
2026 A* conf
LLM Collaborative Filtering: User-Item Graph as New Language.
AAAI
Huachi Zhou, Yujing Zhang, Hao Chen, Qinggang Zhang, Qijie Shen, Feiran Huang, Xiao Huang
2026 J jnl
LLM-Based World Models Can Make Decisions Solely, But Rigorous Evaluations are Needed.
Trans. Mach. Learn. Res.
Chang Yang, Xinrun Wang, Junzhe Jiang, Qinggang Zhang, Xiao Huang
2026 A* conf
LoSemB: Logic-Guided Semantic Bridging for Inductive Tool Retrieval.
WWW
Luyao Zhuang, Qinggang Zhang, Huachi Zhou, Yujing Zhang, Xiao Huang
2026 J jnl
Nondeterministic Polynomial-time Problem Challenge: An Ever-Scaling Reasoning Benchmark for LLMs.
Trans. Mach. Learn. Res.
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
2026 J jnl
Reliable Reasoning Path: Distilling Effective Guidance for LLM Reasoning With Knowledge Graphs.
IEEE Trans. Knowl. Data Eng.
Yilin Xiao, Chuang Zhou, Qinggang Zhang, Bo Li, Qing Li, Xiao Huang
2026 J jnl
Self-Monitoring Large Language Models for Click-Through Rate Prediction.
ACM Trans. Inf. Syst.
Huachi Zhou, Kaijing Yu, Qinggang Zhang, Hao Chen, Daochen Zha, Wenqi Pei, Anthony Kong, Xiao Huang
2026 J jnl
Use Graph When It Needs: Efficiently and Adaptively Integrating Retrieval-Augmented Generation with Graphs.
CoRR
Su Dong, Qinggang Zhang, Yilin Xiao, Shengyuan Chen, Chuang Zhou, Xiao Huang
2026 A* conf
You Don't Need Pre-Built Graphs for RAG: Retrieval Augmented Generation with Adaptive Reasoning Structures.
AAAI
Shengyuan Chen, Chuang Zhou, Zheng Yuan, Qinggang Zhang, Zeyang Cui, Hao Chen, Yilin Xiao, Jiannong Cao, Xiao Huang
2025 J jnl
A Survey of Graph Retrieval-Augmented Generation for Customized Large Language Models.
CoRR
Qinggang Zhang, Shengyuan Chen, Yuanchen Bei, Zheng Yuan, Huachi Zhou, Zijin Hong, Junnan Dong, Hao Chen, Yi Chang, Xiao Huang
2025 — conf
AliBoost: Ecological Boosting Framework in Alibaba Platform.
KDD (2)
Qijie Shen, Yuanchen Bei, Zihong Huang, Jialin Zhu, Keqin Xu, Boya Du, Jiawei Tang, Yuning Jiang, Feiran Huang, Xiao Huang, Hao Chen
2025 J jnl
AliBoost: Ecological Boosting Framework in Alibaba Platform.
CoRR
Qijie Shen, Yuanchen Bei, Zihong Huang, Jialin Zhu, Keqin Xu, Boya Du, Jiawei Tang, Yuning Jiang, Feiran Huang, Xiao Huang, Hao Chen
2025 J jnl
Benchmarking Large Language Models via Random Variables.
CoRR
Zijin Hong, Hao Wu, Su Dong, Junnan Dong, Yilin Xiao, Yujing Zhang, Zhu Wang, Feiran Huang, Linyi Li, Hongxia Yang, Xiao Huang
2025 J jnl
Each Graph is a New Language: Graph Learning with LLMs.
CoRR
Huachi Zhou, Jiahe Du, Chuang Zhou, Chang Yang, Yilin Xiao, Yuxuan Xie, Xiao Huang
2025 — conf
Each graph is a new language: Graph Learning with LLMs.
ACL (Findings)
Huachi Zhou, Jiahe Du, Chuang Zhou, Chang Yang, Yilin Xiao, Yuxuan Xie, Xiao Huang
2025 — conf
Efficient Integration of External Knowledge to LLM-based World Models via Retrieval-Augmented Generation and Reinforcement Learning.
EMNLP (Findings)
Chang Yang, Xinrun Wang, Qinggang Zhang, Qi Jiang, Xiao Huang
2025 J jnl
FinMaster: A Holistic Benchmark for Mastering Full-Pipeline Financial Workflows with LLMs.
CoRR
Junzhe Jiang, Chang Yang, Aixin Cui, Sihan Jin, Ruiyu Wang, Bo Li, Xiao Huang, Dongning Sun, Xinrun Wang
2025 J jnl
Graph Cross-Correlated Network for Recommendation.
IEEE Trans. Knowl. Data Eng.
Hao Chen, Yuanchen Bei, Wenbing Huang, Shengyuan Chen, Feiran Huang, Xiao Huang
2025 J jnl
GraphRAG-Bench: Challenging Domain-Specific Reasoning for Evaluating Graph Retrieval-Augmented Generation.
CoRR
Yilin Xiao, Junnan Dong, Chuang Zhou, Su Dong, Qian-Wen Zhang, Di Yin, Xing Sun, Xiao Huang
2025 J jnl
Knapsack Optimization-based Schema Linking for LLM-based Text-to-SQL Generation.
CoRR
Zheng Yuan, Hao Chen, Zijin Hong, Qinggang Zhang, Feiran Huang, Xiao Huang
2025 J jnl
LAG: Logic-Augmented Generation from a Cartesian Perspective.
CoRR
Yilin Xiao, Chuang Zhou, Qinggang Zhang, Su Dong, Shengyuan Chen, Xiao Huang
2025 J jnl
LinearRAG: Linear Graph Retrieval Augmented Generation on Large-scale Corpora.
CoRR
Luyao Zhuang, Shengyuan Chen, Yilin Xiao, Huachi Zhou, Yujing Zhang, Hao Chen, Qinggang Zhang, Xiao Huang
2025 J jnl
LoSemB: Logic-Guided Semantic Bridging for Inductive Tool Retrieval.
CoRR
Luyao Zhuang, Qinggang Zhang, Huachi Zhou, Juhua Liu, Qing Li, Xiao Huang
2025 J jnl
Next-Generation Database Interfaces: A Survey of LLM-Based Text-to-SQL.
IEEE Trans. Knowl. Data Eng.
Zijin Hong, Zheng Yuan, Qinggang Zhang, Hao Chen, Junnan Dong, Feiran Huang, Xiao Huang
2025 J jnl
Nondeterministic Polynomial-time Problem Challenge: An Ever-Scaling Reasoning Benchmark for LLMs.
CoRR
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
2025 J jnl
Reliable Reasoning Path: Distilling Effective Guidance for LLM Reasoning with Knowledge Graphs.
CoRR
Yilin Xiao, Chuang Zhou, Qinggang Zhang, Bo Li, Qing Li, Xiao Huang
2025 J jnl
Resolving Latency and Inventory Risk in Market Making with Reinforcement Learning.
CoRR
Junzhe Jiang, Chang Yang, Xinrun Wang, Zhiming Li, Xiao Huang, Bo Li
2025 A* conf
Retrieval Augmented Zero-Shot Enzyme Generation for Specified Substrate.
ICML
Jiahe Du, Kaixiong Zhou, Xinyu Hong, Zhaozhuo Xu, Jinbo Xu, Xiao Huang
2025 A* conf
Structure-Guided Large Language Models for Text-to-SQL Generation.
ICML
Qinggang Zhang, Hao Chen, Junnan Dong, Shengyuan Chen, Feiran Huang, Xiao Huang
2025 — conf
Taming Language Models for Text-attributed Graph Learning with Decoupled Aggregation.
ACL (1)
Chuang Zhou, Zhu Wang, Shengyuan Chen, Jiahe Du, Qiyuan Zheng, Zhaozhuo Xu, Xiao Huang
2025 B conf
Text-Attributed Graph Learning with Coupled Augmentations.
COLING
Chuang Zhou, Jiahe Du, Huachi Zhou, Hao Chen, Feiran Huang, Xiao Huang
2025 J jnl
Traceable teleportation: Improving spatial learning in virtual locomotion.
Int. J. Hum. Comput. Stud.
Ye Jia, Zackary P. T. Sin, Chen Li, Peter H. F. Ng, Xiao Huang, George Baciu, Jiannong Cao, Qing Li
2025 J jnl
Unlocking Large Language Model Power in Industry: Privacy-Preserving Collaborative Creation of Knowledge Graph.
IEEE Trans. Big Data
Liqiao Xia, Junming Fan, Ajith Kumar Parlikad, Xiao Huang, Pai Zheng
2025 J jnl
When to use Graphs in RAG: A Comprehensive Analysis for Graph Retrieval-Augmented Generation.
CoRR
Zhishang Xiang, Chuanjie Wu, Qinggang Zhang, Shengyuan Chen, Zijin Hong, Xiao Huang, Jinsong Su
2025 J jnl
You Don't Need Pre-built Graphs for RAG: Retrieval Augmented Generation with Adaptive Reasoning Structures.
CoRR
Shengyuan Chen, Chuang Zhou, Zheng Yuan, Qinggang Zhang, Zeyang Cui, Hao Chen, Yilin Xiao, Jiannong Cao, Xiao Huang
2025 J jnl
Youtu-GraphRAG: Vertically Unified Agents for Graph Retrieval-Augmented Complex Reasoning.
CoRR
Junnan Dong, Siyu An, Yifei Yu, Qian-Wen Zhang, Linhao Luo, Xiao Huang, Yunsheng Wu, Di Yin, Xing Sun
2024 J jnl
A Study of Improved Two-Stage Dual-Conv Coordinate Attention Model for Sound Event Detection and Localization.
Sensors
Guorong Chen, Yuan Yu, Yuan Qiao, Junliang Yang, Chongling Du, Zhang Qian, Xiao Huang
2024 J jnl
Beyond Prediction: On-Street Parking Recommendation Using Heterogeneous Graph-Based List-Wise Ranking.
IEEE Trans. Intell. Transp. Syst.
Hanyu Sun, Xiao Huang, Wei Ma
2024 J jnl
CLR-Bench: Evaluating Large Language Models in College-level Reasoning.
CoRR
Junnan Dong, Zijin Hong, Yuanchen Bei, Feiran Huang, Xinrun Wang, Xiao Huang
2024 J jnl
Collaborative Graph Neural Networks for Attributed Network Embedding.
IEEE Trans. Knowl. Data Eng.
Qiaoyu Tan, Xin Zhang, Xiao Huang, Hao Chen, Jundong Li, Xia Hu
2024 J jnl
Collaborative Parking Vacancy Prediction for Cities With Partial Sensors Missing.
IEEE Trans. Intell. Transp. Syst.
Beiyu Song, Huachi Zhou, Xiao Huang, Wei Ma
2024 A* conf
Configurable Mirror Descent: Towards a Unification of Decision Making.
ICML
Pengdeng Li, Shuxin Li, Chang Yang, Xinrun Wang, Shuyue Hu, Xiao Huang, Hau Chan, Bo An
2024 J jnl
Configurable Mirror Descent: Towards a Unification of Decision Making.
CoRR
Pengdeng Li, Shuxin Li, Chang Yang, Xinrun Wang, Shuyue Hu, Xiao Huang, Hau Chan, Bo An
2024 A* conf
Cost-efficient Knowledge-based Question Answering with Large Language Models.
NeurIPS
Junnan Dong, Qinggang Zhang, Chuang Zhou, Hao Chen, Daochen Zha, Xiao Huang
2024 J jnl
Cost-efficient Knowledge-based Question Answering with Large Language Models.
CoRR
Junnan Dong, Qinggang Zhang, Chuang Zhou, Hao Chen, Daochen Zha, Xiao Huang
2024 A* conf
Could Small Language Models Serve as Recommenders? Towards Data-centric Cold-start Recommendation.
WWW
Xuansheng Wu, Huachi Zhou, Yucheng Shi, Wenlin Yao, Xiao Huang, Ninghao Liu
2024 A* conf
Denoising-Aware Contrastive Learning for Noisy Time Series.
IJCAI
Shuang Zhou, Daochen Zha, Xiao Shen, Xiao Huang, Rui Zhang, Korris Fu-Lai Chung
2024 J jnl
Denoising-Aware Contrastive Learning for Noisy Time Series.
CoRR
Shuang Zhou, Daochen Zha, Xiao Shen, Xiao Huang, Rui Zhang, Fu-Lai Chung
2024 — conf
Enhancing Explainable Rating Prediction through Annotated Macro Concepts.
ACL (1)
Huachi Zhou, Shuang Zhou, Hao Chen, Ninghao Liu, Fan Yang, Xiao Huang
2024 A* conf
Entity Alignment with Noisy Annotations from Large Language Models.
NeurIPS
Shengyuan Chen, Qinggang Zhang, Junnan Dong, Wen Hua, Qing Li, Xiao Huang
2024 J jnl
Entity Alignment with Noisy Annotations from Large Language Models.
CoRR
Shengyuan Chen, Qinggang Zhang, Junnan Dong, Wen Hua, Qing Li, Xiao Huang
2024 J jnl
Evaluating World Models with LLM for Decision Making.
CoRR
Chang Yang, Xinrun Wang, Junzhe Jiang, Qinggang Zhang, Xiao Huang
2024 A conf
Feedback Reciprocal Graph Collaborative Filtering.
CIKM
Weijun Chen, Yuanchen Bei, Qijie Shen, Hao Chen, Xiao Huang, Feiran Huang
2024 J jnl
Feedback Reciprocal Graph Collaborative Filtering.
CoRR
Weijun Chen, Yuanchen Bei, Qijie Shen, Hao Chen, Xiao Huang, Feiran Huang
2024 J jnl
Graph Anomaly Detection with Noisy Labels by Reinforcement Learning.
CoRR
Zhu Wang, Shuang Zhou, Junnan Dong, Chang Yang, Xiao Huang, Shengjie Zhao
2024 J jnl
Graph Contrastive Learning With Personalized Augmentation.
IEEE Trans. Knowl. Data Eng.
Xin Zhang, Qiaoyu Tan, Xiao Huang, Bo Li
2024 J jnl
Graph Cross-Correlated Network for Recommendation.
CoRR
Hao Chen, Yuanchen Bei, Wenbing Huang, Shengyuan Chen, Feiran Huang, Xiao Huang
2024 J jnl
In-Context Exploiter for Extensive-Form Games.
CoRR
Shuxin Li, Chang Yang, Youzhi Zhang, Pengdeng Li, Xinrun Wang, Xiao Huang, Hau Chan, Bo An
2024 J jnl
Integrating Entity Attributes for Error-Aware Knowledge Graph Embedding.
IEEE Trans. Knowl. Data Eng.
Qinggang Zhang, Junnan Dong, Qiaoyu Tan, Xiao Huang
2024 A* conf
KnowGPT: Knowledge Graph based Prompting for Large Language Models.
NeurIPS
Qinggang Zhang, Junnan Dong, Hao Chen, Daochen Zha, Zailiang Yu, Xiao Huang
2024 J jnl
Knowledge-Graph-Driven Mind Mapping for Immersive Collaborative Learning: A Pilot Study in Edu-Metaverse.
IEEE Trans. Learn. Technol.
Ye Jia, Xiangzhi Eric Wang, Zackary P. T. Sin, Chen Li, Peter H. F. Ng, Xiao Huang, George Baciu, Jiannong Cao, Qing Li
2024 — conf
Knowledge-to-SQL: Enhancing SQL Generation with Data Expert LLM.
ACL (Findings)
Zijin Hong, Zheng Yuan, Hao Chen, Qinggang Zhang, Feiran Huang, Xiao Huang
2024 J jnl
Knowledge-to-SQL: Enhancing SQL Generation with Data Expert LLM.
CoRR
Zijin Hong, Zheng Yuan, Hao Chen, Qinggang Zhang, Feiran Huang, Xiao Huang
2024 — conf
Large Language Models for Graph Learning.
WWW (Companion Volume)
Yujuan Ding, Wenqi Fan, Xiao Huang, Qing Li
2024 J jnl
Learning Hierarchical Task Structures for Few-shot Graph Classification.
ACM Trans. Knowl. Discov. Data
Song Wang, Yushun Dong, Xiao Huang, Chen Chen, Jundong Li
2024 A* conf
Logical Reasoning with Relation Network for Inductive Knowledge Graph Completion.
KDD
Qinggang Zhang, Keyu Duan, Junnan Dong, Pai Zheng, Xiao Huang
2024 J jnl
Logical Reasoning with Relation Network for Inductive Knowledge Graph Completion.
CoRR
Qinggang Zhang, Keyu Duan, Junnan Dong, Pai Zheng, Xiao Huang
2024 A* conf
Macro Graph Neural Networks for Online Billion-Scale Recommender Systems.
WWW
Hao Chen, Yuanchen Bei, Qijie Shen, Yue Xu, Sheng Zhou, Wenbing Huang, Feiran Huang, Senzhang Wang, Xiao Huang
2024 J jnl
Macro Graph Neural Networks for Online Billion-Scale Recommender Systems.
CoRR
Hao Chen, Yuanchen Bei, Qijie Shen, Yue Xu, Sheng Zhou, Wenbing Huang, Feiran Huang, Senzhang Wang, Xiao Huang
2024 — conf
Modality-Aware Integration with Large Language Models for Knowledge-Based Visual Question Answering.
ACL (1)
Junnan Dong, Qinggang Zhang, Huachi Zhou, Daochen Zha, Pai Zheng, Xiao Huang
2024 J jnl
Modality-Aware Integration with Large Language Models for Knowledge-based Visual Question Answering.
CoRR
Junnan Dong, Qinggang Zhang, Huachi Zhou, Daochen Zha, Pai Zheng, Xiao Huang
2024 A* conf
Multi-Behavior Collaborative Filtering with Partial Order Graph Convolutional Networks.
KDD
Yijie Zhang, Yuanchen Bei, Hao Chen, Qijie Shen, Zheng Yuan, Huan Gong, Senzhang Wang, Feiran Huang, Xiao Huang
2024 J jnl
Multi-Behavior Collaborative Filtering with Partial Order Graph Convolutional Networks.
CoRR
Yijie Zhang, Yuanchen Bei, Hao Chen, Qijie Shen, Zheng Yuan, Huan Gong, Senzhang Wang, Feiran Huang, Xiao Huang
2024 J jnl
Neuro-Symbolic Entity Alignment via Variational Inference.
CoRR
Shengyuan Chen, Qinggang Zhang, Junnan Dong, Wen Hua, Jiannong Cao, Xiao Huang
2024 J jnl
Next-Generation Database Interfaces: A Survey of LLM-based Text-to-SQL.
CoRR
Zijin Hong, Zheng Yuan, Qinggang Zhang, Hao Chen, Junnan Dong, Feiran Huang, Xiao Huang
2024 — conf
NivTA: Towards a Naturally Interactable Edu-Metaverse Teaching Assistant for CAVE.
MetaCom
Ye Jia, Zackary P. T. Sin, Xiangzhi Eric Wang, Chen Li, Peter H. F. Ng, Xiao Huang, Junnan Dong, Yaowei Wang, George Baciu, Jiannong Cao, Qing Li
2024 J jnl
Open-world electrocardiogram classification via domain knowledge-driven contrastive learning.
Neural Networks
Shuang Zhou, Xiao Huang, Ninghao Liu, Wen Zhang, Yuan-Ting Zhang, Fu-Lai Chung
2024 — conf
QUEST: Efficient Extreme Multi-Label Text Classification with Large Language Models on Commodity Hardware.
EMNLP (Findings)
Chuang Zhou, Junnan Dong, Xiao Huang, Zirui Liu, Kaixiong Zhou, Zhaozhuo Xu
2024 A conf
Reinforcement Nash Equilibrium Solver.
AAMAS
Xinrun Wang, Chang Yang, Shuxin Li, Pengdeng Li, Xiao Huang, Hau Chan, Bo An
2024 A* conf
Reinforcement Nash Equilibrium Solver.
IJCAI
Xinrun Wang, Chang Yang, Shuxin Li, Pengdeng Li, Xiao Huang, Hau Chan, Bo An
2024 J jnl
Reinforcement Nash Equilibrium Solver.
CoRR
Xinrun Wang, Chang Yang, Shuxin Li, Pengdeng Li, Xiao Huang, Hau Chan, Bo An
2024 A* conf
Self-adaptive PSRO: Towards an Automatic Population-based Game Solver.
IJCAI
Pengdeng Li, Shuxin Li, Chang Yang, Xinrun Wang, Xiao Huang, Hau Chan, Bo An
2024 J jnl
Self-adaptive PSRO: Towards an Automatic Population-based Game Solver.
CoRR
Pengdeng Li, Shuxin Li, Chang Yang, Xinrun Wang, Xiao Huang, Hau Chan, Bo An
2024 J jnl
Structure Guided Large Language Model for SQL Generation.
CoRR
Qinggang Zhang, Junnan Dong, Hao Chen, Wentao Li, Feiran Huang, Xiao Huang
2023 A conf
Active Ensemble Learning for Knowledge Graph Error Detection.
WSDM
Junnan Dong, Qinggang Zhang, Xiao Huang, Qiaoyu Tan, Daochen Zha, Zihao Zhao
2023 A* conf
Adaptive Popularity Debiasing Aggregator for Graph Collaborative Filtering.
SIGIR
Huachi Zhou, Hao Chen, Junnan Dong, Daochen Zha, Chuang Zhou, Xiao Huang
2023 A* conf
Aligning Distillation For Cold-start Item Recommendation.
SIGIR
Feiran Huang, Zefan Wang, Xiao Huang, Yufeng Qian, Zhetao Li, Hao Chen
2023 J jnl
Behavioural design of gamification elements and exploration of player types in youth basketball training.
Smart Learn. Environ.
Zeping Feng, Newman Lau, Mengxiao Zhu, Mengru Liu, Rehe Refati, Xiao Huang, Kun-Pyo Lee
2023 J jnl
Beyond Prediction: On-street Parking Recommendation using Heterogeneous Graph-based List-wise Ranking.
CoRR
Hanyu Sun, Xiao Huang, Wei Ma
2023 J jnl
Collaborative Graph Neural Networks for Attributed Network Embedding.
CoRR
Qiaoyu Tan, Xin Zhang, Xiao Huang, Hao Chen, Jundong Li, Xia Hu
2023 A* conf
Differentiable Neuro-Symbolic Reasoning on Large-Scale Knowledge Graphs.
NeurIPS
Shengyuan Chen, Yunfeng Cai, Huang Fang, Xiao Huang, Mingming Sun
2023 — conf
Error Detection on Knowledge Graphs with Triple Embedding.
EUSIPCO
Yezi Liu, Qinggang Zhang, Mengnan Du, Xiao Huang, Xia Hu
2023 — conf
Gradual Study Advising with Course Knowledge Graphs.
ICWL
Junnan Dong, Wentao Li, Yaowei Wang, Qing Li, George Baciu, Jiannong Cao, Xiao Huang, Richard Chen Li, Peter H. F. Ng
2023 — conf
Graph Neural Networks with Non-Recursive Message Passing.
ICDM (Workshops)
Qiaoyu Tan, Xin Zhang, Jiahe Du, Xiao Huang
2023 B conf
HTP: Exploiting Holistic Temporal Patterns for Sequential Recommendation.
IJCNN
Rui Chen, Guotao Liang, Chenrui Ma, Qilong Han, Li Li, Xiao Huang
2023 J jnl
HTP: Exploiting Holistic Temporal Patterns for Sequential Recommendation.
CoRR
Rui Chen, Guotao Liang, Chenrui Ma, Qilong Han, Li Li, Xiao Huang
2023 A* conf
Hierarchy-Aware Multi-Hop Question Answering over Knowledge Graphs.
WWW
Junnan Dong, Qinggang Zhang, Xiao Huang, Keyu Duan, Qiaoyu Tan, Zhimeng Jiang
2023 J jnl
Improving Generalizability of Graph Anomaly Detection Models via Data Augmentation.
CoRR
Shuang Zhou, Xiao Huang, Ninghao Liu, Huachi Zhou, Fu-Lai Chung, Long-Kai Huang
2023 J jnl
Improving Generalizability of Graph Anomaly Detection Models via Data Augmentation.
IEEE Trans. Knowl. Data Eng.
Shuang Zhou, Xiao Huang, Ninghao Liu, Huachi Zhou, Fu-Lai Chung, Long-Kai Huang
2023 — conf
Interest Driven Graph Structure Learning for Session-Based Recommendation.
PAKDD (3)
Huachi Zhou, Shuang Zhou, Keyu Duan, Xiao Huang, Qiaoyu Tan, Zailiang Yu
2023 A conf
International Workshop on Learning with Knowledge Graphs: Construction, Embedding, and Reasoning.
WSDM
Qing Li, Xiao Huang, Ninghao Liu, Yuxiao Dong, Guansong Pang
2023 J jnl
KnowGPT: Black-Box Knowledge Injection for Large Language Models.
CoRR
Qinggang Zhang, Junnan Dong, Hao Chen, Xiao Huang, Daochen Zha, Zailiang Yu
2023 A conf
Non-Recursive Cluster-Scale Graph Interacted Model for Click-Through Rate Prediction.
CIKM
Yuanchen Bei, Hao Chen, Shengyuan Chen, Xiao Huang, Sheng Zhou, Feiran Huang
2023 A* conf
RSC: Accelerate Graph Neural Networks Training via Randomized Sparse Computations.
ICML
Zirui Liu, Shengyuan Chen, Kaixiong Zhou, Daochen Zha, Xiao Huang, Xia Hu
2023 J jnl
Residual-Hypergraph Convolution Network: A Model-Based and Data-Driven Integrated Approach for Fault Diagnosis in Complex Equipment.
IEEE Trans. Instrum. Meas.
Liqiao Xia, Yongshi Liang, Pai Zheng, Xiao Huang
2023 A conf
S2GAE: Self-Supervised Graph Autoencoders are Generalizable Learners with Graph Masking.
WSDM
Qiaoyu Tan, Ninghao Liu, Xiao Huang, Soo-Hyun Choi, Li Li, Rui Chen, Xia Hu
2023 J jnl
Toward an Edu-Metaverse of Knowledge: Immersive Exploration of University Courses.
IEEE Trans. Learn. Technol.
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
2023 J jnl
Towards Personalized Cold-Start Recommendation with Prompts.
CoRR
Xuansheng Wu, Huachi Zhou, Wenlin Yao, Xiao Huang, Ninghao Liu
2022 J jnl
A novel hypergraph convolution network-based approach for predicting the material removal rate in chemical mechanical planarization.
J. Intell. Manuf.
Liqiao Xia, Pai Zheng, Xiao Huang, Chao Liu
2022 J jnl
Auto-GNN: Neural architecture search of graph neural networks.
Frontiers Big Data
Kaixiong Zhou, Xiao Huang, Qingquan Song, Rui Chen, Xia Hu
2022 J jnl
College-Related Question Answering based on Knowledge Graph.
IEEE Data Eng. Bull.
Cheng Peng, Hao Jiang, Junnan Dong, Xiao Huang
2022 — conf
Constructing Low-Redundant and High-Accuracy Knowledge Graphs for Education.
ICWL
Wentao Li, Huachi Zhou, Junnan Dong, Qinggang Zhang, Qing Li, George Baciu, Jiannong Cao, Xiao Huang
2022 — conf
Contrastive Attributed Network Anomaly Detection with Data Augmentation.
PAKDD (2)
Zhiming Xu, Xiao Huang, Yue Zhao, Yushun Dong, Jundong Li
2022 A conf
Contrastive Knowledge Graph Error Detection.
CIKM
Qinggang Zhang, Junnan Dong, Keyu Duan, Xiao Huang, Yezi Liu, Linchuan Xu
2022 J jnl
Contrastive Knowledge Graph Error Detection.
CoRR
Qinggang Zhang, Junnan Dong, Keyu Duan, Xiao Huang, Yezi Liu, Linchuan Xu
2022 A* conf
FAITH: Few-Shot Graph Classification with Hierarchical Task Graphs.
IJCAI
Song Wang, Yushun Dong, Xiao Huang, Chen Chen, Jundong Li
2022 J jnl
FAITH: Few-Shot Graph Classification with Hierarchical Task Graphs.
CoRR
Song Wang, Yushun Dong, Xiao Huang, Chen Chen, Jundong Li
2022 J jnl
Fair Benchmark for Unsupervised Node Representation Learning.
Algorithms
Zhihao Guo, Shengyuan Chen, Xiao Huang, Zhiqiang Qian, Chunsing Yu, Yan Xu, Fang Ding
2022 J jnl
GPatch: Patching Graph Neural Networks for Cold-Start Recommendations.
CoRR
Hao Chen, Zefan Wang, Yue Xu, Xiao Huang, Feiran Huang
2022 A* conf
Generative Adversarial Framework for Cold-Start Item Recommendation.
SIGIR
Hao Chen, Zefan Wang, Feiran Huang, Xiao Huang, Yue Xu, Yishi Lin, Peng He, Zhoujun Li
2022 J jnl
Graph Contrastive Learning with Personalized Augmentation.
CoRR
Xin Zhang, Qiaoyu Tan, Xiao Huang, Bo Li
2022 — conf
Intelligent Instructional Design via Interactive Knowledge Graph Editing.
ICWL
Jerry C. K. Chan, Yaowei Wang, Qing Li, George Baciu, Jiannong Cao, Xiao Huang, Richard Chen Li, Peter H. F. Ng
2022 — conf
KCUBE: A Knowledge Graph University Curriculum Framework for Student Advising and Career Planning.
ICBL
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
2022 J jnl
MGAE: Masked Autoencoders for Self-Supervised Learning on Graphs.
CoRR
Qiaoyu Tan, Ninghao Liu, Xiao Huang, Rui Chen, Soo-Hyun Choi, Xia Hu
2022 J jnl
MolCPT: Molecule Continuous Prompt Tuning to Generalize Molecular Representation Learning.
CoRR
Cameron Diao, Kaixiong Zhou, Xiao Huang, Xia Hu
2022 A conf
Multi-Interest Refinement by Collaborative Attributes Modeling for Click-Through Rate Prediction.
CIKM
Huachi Zhou, Jiaqi Fan, Xiao Huang, Ka Ho Li, Zhenyu Tang, Dahai Yu
2022 J jnl
QuanGCN: Noise-Adaptive Training for Robust Quantum Graph Convolutional Networks.
CoRR
Kaixiong Zhou, Zhenyu Zhang, Shengyuan Chen, Tianlong Chen, Xiao Huang, Zhangyang Wang, Xia Hu
2022 J jnl
RSC: Accelerating Graph Neural Networks Training via Randomized Sparse Computations.
CoRR
Zirui Liu, Shengyuan Chen, Kaixiong Zhou, Daochen Zha, Xiao Huang, Xia Hu
2022 — conf
Towards a Metaverse of Knowledge - A Constructivist Proposition on Immersive Learning and Visual Literacy.
ICWL
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
2022 A conf
Unseen Anomaly Detection on Networks via Multi-Hypersphere Learning.
SDM
Shuang Zhou, Xiao Huang, Ninghao Liu, Qiaoyu Tan, Fu-Lai Chung
2021 A* conf
Dirichlet Energy Constrained Learning for Deep Graph Neural Networks.
NeurIPS
Kaixiong Zhou, Xiao Huang, Daochen Zha, Rui Chen, Li Li, Soo-Hyun Choi, Xia Hu
2021 J jnl
Dirichlet Energy Constrained Learning for Deep Graph Neural Networks.
CoRR
Kaixiong Zhou, Xiao Huang, Daochen Zha, Rui Chen, Li Li, Soo-Hyun Choi, Xia Hu
2021 A* conf
Dynamic Memory based Attention Network for Sequential Recommendation.
AAAI
Qiaoyu Tan, Jianwei Zhang, Ninghao Liu, Xiao Huang, Hongxia Yang, Jingren Zhou, Xia Hu
2021 J jnl
Dynamic Memory based Attention Network for Sequential Recommendation.
CoRR
Qiaoyu Tan, Jianwei Zhang, Ninghao Liu, Xiao Huang, Hongxia Yang, Jingren Zhou, Xia Hu
2021 A conf
REFORM: Error-Aware Few-Shot Knowledge Graph Completion.
CIKM
Song Wang, Xiao Huang, Chen Chen, Liang Wu, Jundong Li
2021 A conf
Subtractive Aggregation for Attributed Network Anomaly Detection.
CIKM
Shuang Zhou, Qiaoyu Tan, Zhiming Xu, Xiao Huang, Fu-Lai Chung
2021 A* conf
Temporal Augmented Graph Neural Networks for Session-Based Recommendations.
SIGIR
Huachi Zhou, Qiaoyu Tan, Xiao Huang, Kaixiong Zhou, Xiaoling Wang
2021 A* conf
Unsupervised Graph Alignment with Wasserstein Distance Discriminator.
KDD
Ji Gao, Xiao Huang, Jundong Li
2020 A* conf
Multi-Channel Graph Neural Networks.
IJCAI
Kaixiong Zhou, Qingquan Song, Xiao Huang, Daochen Zha, Na Zou, Xia Hu
2020 J jnl
Report on the international workshop on natural language processing for recommendations (NLP4REC 2020) workshop held at WSDM 2020.
SIGIR Forum
Xiao Huang, Pengjie Ren, Zhaochun Ren, Fei Sun, Xiangnan He, Dawei Yin, Maarten de Rijke
2020 B conf
Scalable Social Tie Strength Measuring.
ASONAM
Yan Zhong, Xiao Huang, Jundong Li, Xia Hu
2020 A* conf
Towards Deeper Graph Neural Networks with Differentiable Group Normalization.
NeurIPS
Kaixiong Zhou, Xiao Huang, Yuening Li, Daochen Zha, Rui Chen, Xia Hu
2020 J jnl
Towards Deeper Graph Neural Networks with Differentiable Group Normalization.
CoRR
Kaixiong Zhou, Xiao Huang, Yuening Li, Daochen Zha, Rui Chen, Xia Hu
2019 J jnl
Auto-GNN: Neural Architecture Search of Graph Neural Networks.
CoRR
Kaixiong Zhou, Qingquan Song, Xiao Huang, Xia Hu
2019 A* conf
Graph Recurrent Networks With Attributed Random Walks.
KDD
Xiao Huang, Qingquan Song, Yuening Li, Xia Hu
2019 A conf
Knowledge Graph Embedding Based Question Answering.
WSDM
Xiao Huang, Jingyuan Zhang, Dingcheng Li, Ping Li
2019 A* conf
Large-Scale Heterogeneous Feature Embedding.
AAAI
Xiao Huang, Qingquan Song, Fan Yang, Xia Hu
2019 A* conf
Learning From Networks: Algorithms, Theory, and Applications.
KDD
Xiao Huang, Peng Cui, Yuxiao Dong, Jundong Li, Huan Liu, Jian Pei, Le Song, Jie Tang, Fei Wang, Hongxia Yang, Wenwu Zhu
2019 J jnl
Multi-Channel Graph Convolutional Networks.
CoRR
Kaixiong Zhou, Qingquan Song, Xiao Huang, Daochen Zha, Na Zou, Xia Hu
2019 J jnl
Multi-Label Adversarial Perturbations.
CoRR
Qingquan Song, Haifeng Jin, Xiao Huang, Xia Hu
2019 A conf
SpecAE: Spectral AutoEncoder for Anomaly Detection in Attributed Networks.
CIKM
Yuening Li, Xiao Huang, Jundong Li, Mengnan Du, Na Zou
2019 J jnl
SpecAE: Spectral AutoEncoder for Anomaly Detection in Attributed Networks.
CoRR
Yuening Li, Xiao Huang, Jundong Li, Mengnan Du, Na Zou
2018 J jnl
A General Embedding Framework for Heterogeneous Information Learning in Large-Scale Networks.
ACM Trans. Knowl. Discov. Data
Xiao Huang, Jundong Li, Na Zou, Xia Hu
2018 A conf
Exploring Expert Cognition for Attributed Network Embedding.
WSDM
Xiao Huang, Qingquan Song, Jundong Li, Xia Hu
2018 A* conf
Link Prediction With Personalized Social Influence.
AAAI
Zepeng Huo, Xiao Huang, Xia Hu
2018 A* conf
Multi-label Adversarial Perturbations.
ICDM
Qingquan Song, Haifeng Jin, Xiao Huang, Xia Hu
2018 A* conf
On Interpretation of Network Embedding via Taxonomy Induction.
KDD
Ninghao Liu, Xiao Huang, Jundong Li, Xia Hu
2017 A conf
Accelerated Attributed Network Embedding.
SDM
Xiao Huang, Jundong Li, Xia Hu
2017 A* conf
Accelerated Local Anomaly Detection via Resolving Attributed Networks.
IJCAI
Ninghao Liu, Xiao Huang, Xia Hu
2017 A conf
Label Informed Attributed Network Embedding.
WSDM
Xiao Huang, Jundong Li, Xia Hu
2017 A* conf
Multi-Aspect Streaming Tensor Completion.
KDD
Qingquan Song, Xiao Huang, Hancheng Ge, James Caverlee, Xia Hu
2015 J jnl
Index Coding and Network Coding via Rank Minimization.
CoRR
Xiao Huang, Salim El Rouayheb
2015 — conf
Index coding and network coding via rank minimization.
ITW Fall
Xiao Huang, Salim El Rouayheb