Index coding and network coding via rank minimization. - Xiao Huang 001; Salim El Rouayheb (ITW Fall, 2015)

Accelerated Local Anomaly Detection via Resolving Attributed Networks. - Ninghao Liu; Xiao Huang 001; Xia Hu 001 (IJCAI, 2017)

Multi-Aspect Streaming Tensor Completion. - Qingquan Song; Xiao Huang 001; Hancheng Ge; James Caverlee; Xia Hu 001 (KDD, 2017)

Accelerated Attributed Network Embedding. - Xiao Huang 001; Jundong Li; Xia Hu 001 (SDM, 2017)

Label Informed Attributed Network Embedding. - Xiao Huang 001; Jundong Li; Xia Hu 001 (WSDM, 2017)

Link Prediction With Personalized Social Influence. - Zepeng Huo; Xiao Huang 001; Xia Hu 001 (AAAI, 2018)

Multi-label Adversarial Perturbations. - Qingquan Song; Haifeng Jin; Xiao Huang 001; Xia Hu 001 (ICDM, 2018)

On Interpretation of Network Embedding via Taxonomy Induction. - Ninghao Liu; Xiao Huang 001; Jundong Li; Xia Hu 001 (KDD, 2018)

Exploring Expert Cognition for Attributed Network Embedding. - Xiao Huang 001; Qingquan Song; Jundong Li; Xia Hu 001 (WSDM, 2018)

A General Embedding Framework for Heterogeneous Information Learning in Large-Scale Networks. - Xiao Huang 001; Jundong Li; Na Zou 001; Xia Hu 001 (ACM Trans. Knowl. Discov. Data, 2018)

Large-Scale Heterogeneous Feature Embedding. - Xiao Huang 001; Qingquan Song; Fan Yang 023; Xia Hu 001 (AAAI, 2019)

SpecAE: Spectral AutoEncoder for Anomaly Detection in Attributed Networks. - Yuening Li; Xiao Huang 001; Jundong Li; Mengnan Du; Na Zou 001 (CIKM, 2019)

Learning From Networks: Algorithms, Theory, and Applications. - Xiao Huang 001; Peng Cui 001; Yuxiao Dong; Jundong Li; Huan Liu 001; Jian Pei 001; Le Song; Jie Tang 001; Fei Wang 001; Hongxia Yang; Wenwu Zhu 001 (KDD, 2019)

Graph Recurrent Networks With Attributed Random Walks. - Xiao Huang 001; Qingquan Song; Yuening Li; Xia Hu 001 (KDD, 2019)

Knowledge Graph Embedding Based Question Answering. - Xiao Huang 001; Jingyuan Zhang; Dingcheng Li; Ping Li 001 (WSDM, 2019)

Auto-GNN: Neural Architecture Search of Graph Neural Networks. - Kaixiong Zhou; Qingquan Song; Xiao Huang 001; Xia Hu 001 (CoRR, 2019)

Multi-Channel Graph Convolutional Networks. - Kaixiong Zhou; Qingquan Song; Xiao Huang 001; Daochen Zha; Na Zou 001; Xia Hu 001 (CoRR, 2019)

Scalable Social Tie Strength Measuring. - Yan Zhong 003; Xiao Huang 001; Jundong Li; Xia Hu 001 (ASONAM, 2020)

Multi-Channel Graph Neural Networks. - Kaixiong Zhou; Qingquan Song; Xiao Huang 001; Daochen Zha; Na Zou 001; Xia Hu 001 (IJCAI, 2020)

Towards Deeper Graph Neural Networks with Differentiable Group Normalization. - Kaixiong Zhou; Xiao Huang 001; Yuening Li; Daochen Zha; Rui Chen 012; Xia Hu 001 (NeurIPS, 2020)

Report on the international workshop on natural language processing for recommendations (NLP4REC 2020) workshop held at WSDM 2020. - Xiao Huang 001; Pengjie Ren; Zhaochun Ren; Fei Sun 001; Xiangnan He 001; Dawei Yin; Maarten de Rijke (SIGIR Forum, 2020)

Dynamic Memory based Attention Network for Sequential Recommendation. - Qiaoyu Tan; Jianwei Zhang 012; Ninghao Liu; Xiao Huang 001; Hongxia Yang; Jingren Zhou 001; Xia Hu 001 (AAAI, 2021)

REFORM: Error-Aware Few-Shot Knowledge Graph Completion. - Song Wang 013; Xiao Huang 001; Chen Chen 022; Liang Wu 006; Jundong Li (CIKM, 2021)

Subtractive Aggregation for Attributed Network Anomaly Detection. - Shuang Zhou 012; Qiaoyu Tan; Zhiming Xu; Xiao Huang 001; Fu-Lai Chung (CIKM, 2021)

Unsupervised Graph Alignment with Wasserstein Distance Discriminator. - Ji Gao; Xiao Huang 001; Jundong Li (KDD, 2021)

Dirichlet Energy Constrained Learning for Deep Graph Neural Networks. - Kaixiong Zhou; Xiao Huang 001; Daochen Zha; Rui Chen 012; Li Li 035; Soo-Hyun Choi; Xia Hu 001 (NeurIPS, 2021)

Temporal Augmented Graph Neural Networks for Session-Based Recommendations. - Huachi Zhou; Qiaoyu Tan; Xiao Huang 001; Kaixiong Zhou; Xiaoling Wang (SIGIR, 2021)

Contrastive Knowledge Graph Error Detection. - Qinggang Zhang; Junnan Dong; Keyu Duan; Xiao Huang 001; Yezi Liu; Linchuan Xu (CIKM, 2022)

Multi-Interest Refinement by Collaborative Attributes Modeling for Click-Through Rate Prediction. - Huachi Zhou; Jiaqi Fan; Xiao Huang 001; Ka Ho Li; Zhenyu Tang; Dahai Yu (CIKM, 2022)

KCUBE: A Knowledge Graph University Curriculum Framework for Student Advising and Career Planning. - Qing Li 001; George Baciu; Jiannong Cao 001; Xiao Huang 001; Richard Chen Li; Peter H. F. Ng; Junnan Dong; Qinggang Zhang; Zackary P. T. Sin; Yaowei Wang 001 (ICBL, 2022)

Intelligent Instructional Design via Interactive Knowledge Graph Editing. - Jerry C. K. Chan; Yaowei Wang 001; Qing Li 001; George Baciu; Jiannong Cao 001; Xiao Huang 001; 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 001; George Baciu; Jiannong Cao 001; Xiao Huang 001 (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 001; George Baciu; Jiannong Cao 001; Qing Li 001 (ICWL, 2022)

FAITH: Few-Shot Graph Classification with Hierarchical Task Graphs. - Song Wang 013; Yushun Dong; Xiao Huang 001; Chen Chen 022; Jundong Li (IJCAI, 2022)

Contrastive Attributed Network Anomaly Detection with Data Augmentation. - Zhiming Xu; Xiao Huang 001; Yue Zhao 016; Yushun Dong; Jundong Li (PAKDD (2), 2022)

Unseen Anomaly Detection on Networks via Multi-Hypersphere Learning. - Shuang Zhou 012; Xiao Huang 001; Ninghao Liu; Qiaoyu Tan; Fu-Lai Chung (SDM, 2022)

Generative Adversarial Framework for Cold-Start Item Recommendation. - Hao Chen 062; Zefan Wang; Feiran Huang; Xiao Huang 001; Yue Xu; Yishi Lin; Peng He; Zhoujun Li 001 (SIGIR, 2022)

Fair Benchmark for Unsupervised Node Representation Learning. - Zhihao Guo; Shengyuan Chen; Xiao Huang 001; Zhiqiang Qian; Chunsing Yu; Yan Xu; Fang Ding (Algorithms, 2022)

MGAE: Masked Autoencoders for Self-Supervised Learning on Graphs. - Qiaoyu Tan; Ninghao Liu; Xiao Huang 001; Rui Chen 012; Soo-Hyun Choi; Xia Hu 001 (CoRR, 2022)

GPatch: Patching Graph Neural Networks for Cold-Start Recommendations. - Hao Chen 062; Zefan Wang; Yue Xu; Xiao Huang 001; Feiran Huang (CoRR, 2022)

RSC: Accelerating Graph Neural Networks Training via Randomized Sparse Computations. - Zirui Liu 001; Shengyuan Chen; Kaixiong Zhou; Daochen Zha; Xiao Huang 001; Xia Hu 001 (CoRR, 2022)

QuanGCN: Noise-Adaptive Training for Robust Quantum Graph Convolutional Networks. - Kaixiong Zhou; Zhenyu Zhang 015; Shengyuan Chen; Tianlong Chen 001; Xiao Huang 001; Zhangyang Wang; Xia Hu 001 (CoRR, 2022)

MolCPT: Molecule Continuous Prompt Tuning to Generalize Molecular Representation Learning. - Cameron Diao; Kaixiong Zhou; Xiao Huang 001; Xia Hu 001 (CoRR, 2022)

College-Related Question Answering based on Knowledge Graph. - Cheng Peng; Hao Jiang; Junnan Dong; Xiao Huang 001 (IEEE Data Eng. Bull., 2022)

Auto-GNN: Neural architecture search of graph neural networks. - Kaixiong Zhou; Xiao Huang 001; Qingquan Song; Rui Chen 012; Xia Hu 001 (Frontiers Big Data, 2022)

A novel hypergraph convolution network-based approach for predicting the material removal rate in chemical mechanical planarization. - Liqiao Xia; Pai Zheng; Xiao Huang 001; Chao Liu 031 (J. Intell. Manuf., 2022)

Non-Recursive Cluster-Scale Graph Interacted Model for Click-Through Rate Prediction. - Yuanchen Bei; Hao Chen 062; Shengyuan Chen; Xiao Huang 001; Sheng Zhou 004; Feiran Huang (CIKM, 2023)

Error Detection on Knowledge Graphs with Triple Embedding. - Yezi Liu; Qinggang Zhang; Mengnan Du; Xiao Huang 001; Xia Hu 001 (EUSIPCO, 2023)

Graph Neural Networks with Non-Recursive Message Passing. - Qiaoyu Tan; Xin Zhang 104; Jiahe Du; Xiao Huang 001 (ICDM (Workshops), 2023)

RSC: Accelerate Graph Neural Networks Training via Randomized Sparse Computations. - Zirui Liu 001; Shengyuan Chen; Kaixiong Zhou; Daochen Zha; Xiao Huang 001; Xia Hu 001 (ICML, 2023)

Gradual Study Advising with Course Knowledge Graphs. - Junnan Dong; Wentao Li; Yaowei Wang 001; Qing Li 001; George Baciu; Jiannong Cao 001; Xiao Huang 001; Richard Chen Li; Peter H. F. Ng (ICWL, 2023)

HTP: Exploiting Holistic Temporal Patterns for Sequential Recommendation. - Rui Chen 012; Guotao Liang; Chenrui Ma; Qilong Han; Li Li 035; Xiao Huang 001 (IJCNN, 2023)

Differentiable Neuro-Symbolic Reasoning on Large-Scale Knowledge Graphs. - Shengyuan Chen; Yunfeng Cai; Huang Fang; Xiao Huang 001; Mingming Sun 001 (NeurIPS, 2023)

Interest Driven Graph Structure Learning for Session-Based Recommendation. - Huachi Zhou; Shuang Zhou 012; Keyu Duan; Xiao Huang 001; Qiaoyu Tan; Zailiang Yu (PAKDD (3), 2023)

Aligning Distillation For Cold-start Item Recommendation. - Feiran Huang; Zefan Wang; Xiao Huang 001; Yufeng Qian; Zhetao Li; Hao Chen 062 (SIGIR, 2023)

Adaptive Popularity Debiasing Aggregator for Graph Collaborative Filtering. - Huachi Zhou; Hao Chen 062; Junnan Dong; Daochen Zha; Chuang Zhou 002; Xiao Huang 001 (SIGIR, 2023)

Active Ensemble Learning for Knowledge Graph Error Detection. - Junnan Dong; Qinggang Zhang; Xiao Huang 001; Qiaoyu Tan; Daochen Zha; Zihao Zhao (WSDM, 2023)

International Workshop on Learning with Knowledge Graphs: Construction, Embedding, and Reasoning. - Qing Li 001; Xiao Huang 001; Ninghao Liu; Yuxiao Dong; Guansong Pang (WSDM, 2023)

S2GAE: Self-Supervised Graph Autoencoders are Generalizable Learners with Graph Masking. - Qiaoyu Tan; Ninghao Liu; Xiao Huang 001; Soo-Hyun Choi; Li Li 035; Rui Chen 012; Xia Hu 001 (WSDM, 2023)

Hierarchy-Aware Multi-Hop Question Answering over Knowledge Graphs. - Junnan Dong; Qinggang Zhang; Xiao Huang 001; Keyu Duan; Qiaoyu Tan; Zhimeng Jiang (WWW, 2023)

Towards Personalized Cold-Start Recommendation with Prompts. - Xuansheng Wu; Huachi Zhou; Wenlin Yao; Xiao Huang 001; Ninghao Liu (CoRR, 2023)

KnowGPT: Black-Box Knowledge Injection for Large Language Models. - Qinggang Zhang; Junnan Dong; Hao Chen 062; Xiao Huang 001; Daochen Zha; Zailiang Yu (CoRR, 2023)

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 001 (IEEE Trans. Instrum. Meas., 2023)

Behavioural design of gamification elements and exploration of player types in youth basketball training. - Zeping Feng; Newman Lau; Mengxiao Zhu 003; Mengru Liu; Rehe Refati; Xiao Huang 001; Kun-Pyo Lee (Smart Learn. Environ., 2023)

Improving Generalizability of Graph Anomaly Detection Models via Data Augmentation. - Shuang Zhou 012; Xiao Huang 001; Ninghao Liu; Huachi Zhou; Fu-Lai Chung; Long-Kai Huang (IEEE Trans. Knowl. Data Eng., 2023)

Toward 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 001; George Baciu; Jiannong Cao 001; Qing Li 001 (IEEE Trans. Learn. Technol., 2023)

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 001 (ACL (1), 2024)

Knowledge-to-SQL: Enhancing SQL Generation with Data Expert LLM. - Zijin Hong; Zheng Yuan; Hao Chen 062; Qinggang Zhang; Feiran Huang; Xiao Huang 001 (ACL (Findings), 2024)

Enhancing Explainable Rating Prediction through Annotated Macro Concepts. - Huachi Zhou; Shuang Zhou 012; Hao Chen 062; Ninghao Liu; Fan Yang 023; Xiao Huang 001 (ACL (1), 2024)

Feedback Reciprocal Graph Collaborative Filtering. - Weijun Chen 003; Yuanchen Bei; Qijie Shen; Hao Chen 062; Xiao Huang 001; Feiran Huang (CIKM, 2024)

QUEST: Efficient Extreme Multi-Label Text Classification with Large Language Models on Commodity Hardware. - Chuang Zhou 002; Junnan Dong; Xiao Huang 001; Zirui Liu 001; Kaixiong Zhou; Zhaozhuo Xu (EMNLP (Findings), 2024)

Configurable Mirror Descent: Towards a Unification of Decision Making. - Pengdeng Li; Shuxin Li 001; Chang Yang; Xinrun Wang; Shuyue Hu; Xiao Huang 001; Hau Chan; Bo An 001 (ICML, 2024)

Denoising-Aware Contrastive Learning for Noisy Time Series. - Shuang Zhou 012; Daochen Zha; Xiao Shen 001; Xiao Huang 001; Rui Zhang 028; Korris Fu-Lai Chung (IJCAI, 2024)

Self-adaptive PSRO: Towards an Automatic Population-based Game Solver. - Pengdeng Li; Shuxin Li 001; Chang Yang; Xinrun Wang; Xiao Huang 001; Hau Chan; Bo An 001 (IJCAI, 2024)

Reinforcement Nash Equilibrium Solver. - Xinrun Wang; Chang Yang; Shuxin Li 001; Pengdeng Li; Xiao Huang 001; Hau Chan; Bo An 001 (IJCAI, 2024)

Multi-Behavior Collaborative Filtering with Partial Order Graph Convolutional Networks. - Yijie Zhang; Yuanchen Bei; Hao Chen 062; Qijie Shen; Zheng Yuan; Huan Gong; Senzhang Wang; Feiran Huang; Xiao Huang 001 (KDD, 2024)

Logical Reasoning with Relation Network for Inductive Knowledge Graph Completion. - Qinggang Zhang; Keyu Duan; Junnan Dong; Pai Zheng; Xiao Huang 001 (KDD, 2024)

NivTA: Towards a Naturally Interactable Edu-Metaverse Teaching Assistant for CAVE. - Ye Jia; Zackary P. T. Sin; Xiangzhi Eric Wang; Chen Li 023; Peter H. F. Ng; Xiao Huang 001; Junnan Dong; Yaowei Wang 001; George Baciu; Jiannong Cao 001; Qing Li 001 (MetaCom, 2024)

Entity Alignment with Noisy Annotations from Large Language Models. - Shengyuan Chen; Qinggang Zhang; Junnan Dong; Wen Hua; Qing Li 001; Xiao Huang 001 (NeurIPS, 2024)

Cost-efficient Knowledge-based Question Answering with Large Language Models. - Junnan Dong; Qinggang Zhang; Chuang Zhou 002; Hao Chen 062; Daochen Zha; Xiao Huang 001 (NeurIPS, 2024)

KnowGPT: Knowledge Graph based Prompting for Large Language Models. - Qinggang Zhang; Junnan Dong; Hao Chen 062; Daochen Zha; Zailiang Yu; Xiao Huang 001 (NeurIPS, 2024)

Macro Graph Neural Networks for Online Billion-Scale Recommender Systems. - Hao Chen 062; Yuanchen Bei; Qijie Shen; Yue Xu; Sheng Zhou 004; Wenbing Huang 001; Feiran Huang; Senzhang Wang; Xiao Huang 001 (WWW, 2024)

Large Language Models for Graph Learning. - Yujuan Ding; Wenqi Fan; Xiao Huang 001; Qing Li 001 (WWW (Companion Volume), 2024)

Could Small Language Models Serve as Recommenders? Towards Data-centric Cold-start Recommendation. - Xuansheng Wu; Huachi Zhou; Yucheng Shi; Wenlin Yao; Xiao Huang 001; Ninghao Liu (WWW, 2024)

Structure Guided Large Language Model for SQL Generation. - Qinggang Zhang; Junnan Dong; Hao Chen 062; Wentao Li; Feiran Huang; Xiao Huang 001 (CoRR, 2024)

Next-Generation Database Interfaces: A Survey of LLM-based Text-to-SQL. - Zijin Hong; Zheng Yuan; Qinggang Zhang; Hao Chen 062; Junnan Dong; Feiran Huang; Xiao Huang 001 (CoRR, 2024)

Graph Anomaly Detection with Noisy Labels by Reinforcement Learning. - Zhu Wang; Shuang Zhou 012; Junnan Dong; Chang Yang; Xiao Huang 001; Shengjie Zhao (CoRR, 2024)

In-Context Exploiter for Extensive-Form Games. - Shuxin Li 001; Chang Yang; Youzhi Zhang 001; Pengdeng Li; Xinrun Wang; Xiao Huang 001; Hau Chan; Bo An 001 (CoRR, 2024)

Neuro-Symbolic Entity Alignment via Variational Inference. - Shengyuan Chen; Qinggang Zhang; Junnan Dong; Wen Hua; Jiannong Cao 001; Xiao Huang 001 (CoRR, 2024)

CLR-Bench: Evaluating Large Language Models in College-level Reasoning. - Junnan Dong; Zijin Hong; Yuanchen Bei; Feiran Huang; Xinrun Wang; Xiao Huang 001 (CoRR, 2024)

Evaluating World Models with LLM for Decision Making. - Chang Yang; Xinrun Wang; Junzhe Jiang 002; Qinggang Zhang; Xiao Huang 001 (CoRR, 2024)

Open-world electrocardiogram classification via domain knowledge-driven contrastive learning. - Shuang Zhou 012; Xiao Huang 001; Ninghao Liu; Wen Zhang; Yuan-Ting Zhang; Fu-Lai Chung (Neural Networks, 2024)

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 023; Peter H. F. Ng; Xiao Huang 001; George Baciu; Jiannong Cao 001; Qing Li 001 (IEEE Trans. Learn. Technol., 2024)

Collaborative Graph Neural Networks for Attributed Network Embedding. - Qiaoyu Tan; Xin Zhang 104; Xiao Huang 001; Hao Chen 062; Jundong Li; Xia Hu 001 (IEEE Trans. Knowl. Data Eng., 2024)

Learning Hierarchical Task Structures for Few-shot Graph Classification. - Song Wang 013; Yushun Dong; Xiao Huang 001; Chen Chen 022; Jundong Li (ACM Trans. Knowl. Discov. Data, 2024)

Integrating Entity Attributes for Error-Aware Knowledge Graph Embedding. - Qinggang Zhang; Junnan Dong; Qiaoyu Tan; Xiao Huang 001 (IEEE Trans. Knowl. Data Eng., 2024)

Beyond Prediction: On-Street Parking Recommendation Using Heterogeneous Graph-Based List-Wise Ranking. - Hanyu Sun; Xiao Huang 001; Wei Ma (IEEE Trans. Intell. Transp. Syst., 2024)

A Study of Improved Two-Stage Dual-Conv Coordinate Attention Model for Sound Event Detection and Localization. - Guorong Chen; Yuan Yu; Yuan Qiao; Junliang Yang; Chongling Du; Zhang Qian; Xiao Huang 001 (Sensors, 2024)

Collaborative Parking Vacancy Prediction for Cities With Partial Sensors Missing. - Beiyu Song; Huachi Zhou; Xiao Huang 001; Wei Ma (IEEE Trans. Intell. Transp. Syst., 2024)

Graph Contrastive Learning With Personalized Augmentation. - Xin Zhang 104; Qiaoyu Tan; Xiao Huang 001; Bo Li 037 (IEEE Trans. Knowl. Data Eng., 2024)

Taming Language Models for Text-attributed Graph Learning with Decoupled Aggregation. - Chuang Zhou 002; Zhu Wang; Shengyuan Chen; Jiahe Du; Qiyuan Zheng; Zhaozhuo Xu; Xiao Huang 001 (ACL (1), 2025)

Each graph is a new language: Graph Learning with LLMs. - Huachi Zhou; Jiahe Du; Chuang Zhou 002; Chang Yang; Yilin Xiao 002; Yuxuan Xie; Xiao Huang 001 (ACL (Findings), 2025)

Text-Attributed Graph Learning with Coupled Augmentations. - Chuang Zhou 002; Jiahe Du; Huachi Zhou; Hao Chen 062; Feiran Huang; Xiao Huang 001 (COLING, 2025)

Traceable teleportation: Improving spatial learning in virtual locomotion. - Ye Jia; Zackary P. T. Sin; Chen Li 023; Peter H. F. Ng; Xiao Huang 001; George Baciu; Jiannong Cao 001; Qing Li 001 (Int. J. Hum. Comput. Stud., 2025)

Benchmarking Large Language Models via Random Variables. - Zijin Hong; Hao Wu 070; Su Dong; Junnan Dong; Yilin Xiao 002; Yujing Zhang; Zhu Wang; Feiran Huang; Linyi Li; Hongxia Yang; Xiao Huang 001 (CoRR, 2025)

A Survey of Graph Retrieval-Augmented Generation for Customized Large Language Models. - Qinggang Zhang; Shengyuan Chen; Yuanchen Bei; Zheng Yuan; Huachi Zhou; Zijin Hong; Junnan Dong; Hao Chen 062; Yi Chang; Xiao Huang 001 (CoRR, 2025)

Knapsack Optimization-based Schema Linking for LLM-based Text-to-SQL Generation. - Zheng Yuan; Hao Chen 062; Zijin Hong; Qinggang Zhang; Feiran Huang; Xiao Huang 001 (CoRR, 2025)

Graph Cross-Correlated Network for Recommendation. - Hao Chen 062; Yuanchen Bei; Wenbing Huang 001; Shengyuan Chen; Feiran Huang; Xiao Huang 001 (IEEE Trans. Knowl. Data Eng., 2025)

Nondeterministic Polynomial-time Problem Challenge: An Ever-Scaling Reasoning Benchmark for LLMs. - Chang Yang; Ruiyu Wang; Junzhe Jiang 002; Qi Jiang; Qinggang Zhang; Yanchen Deng; Shuxin Li 001; Shuyue Hu; Bo Li 037; Florian T. Pokorny; Xiao Huang 001; Xinrun Wang (CoRR, 2025)

Resolving Latency and Inventory Risk in Market Making with Reinforcement Learning. - Junzhe Jiang 002; Chang Yang; Xinrun Wang; Zhiming Li; Xiao Huang 001; Bo Li 037 (CoRR, 2025)

FinMaster: A Holistic Benchmark for Mastering Full-Pipeline Financial Workflows with LLMs. - Junzhe Jiang 002; Chang Yang; Aixin Cui; Sihan Jin; Ruiyu Wang; Bo Li 037; Xiao Huang 001; Dongning Sun; Xinrun Wang (CoRR, 2025)

AliBoost: Ecological Boosting Framework in Alibaba Platform. - Qijie Shen; Yuanchen Bei; Zihong Huang; Jialin Zhu; Keqin Xu; Boya Du; Jiawei Tang; Yuning Jiang 001; Feiran Huang; Xiao Huang 001; Hao Chen 062 (CoRR, 2025)

GraphRAG-Bench: Challenging Domain-Specific Reasoning for Evaluating Graph Retrieval-Augmented Generation. - Yilin Xiao 002; Junnan Dong; Chuang Zhou 002; Su Dong; Qian-wen Zhang; Di Yin; Xing Sun; Xiao Huang 001 (CoRR, 2025)

When to use Graphs in RAG: A Comprehensive Analysis for Graph Retrieval-Augmented Generation. - Zhishang Xiang; Chuanjie Wu; Qinggang Zhang; Shengyuan Chen; Zijin Hong; Xiao Huang 001; Jinsong Su (CoRR, 2025)

Reliable Reasoning Path: Distilling Effective Guidance for LLM Reasoning with Knowledge Graphs. - Yilin Xiao 002; Chuang Zhou 002; Qinggang Zhang; Bo Li 037; Qing Li 001; Xiao Huang 001 (CoRR, 2025)

LAG: Logic-Augmented Generation from a Cartesian Perspective. - Yilin Xiao 002; Chuang Zhou 002; Qinggang Zhang; Su Dong; Shengyuan Chen; Xiao Huang 001 (CoRR, 2025)

You Don't Need Pre-built Graphs for RAG: Retrieval Augmented Generation with Adaptive Reasoning Structures. - Shengyuan Chen; Chuang Zhou 002; Zheng Yuan; Qinggang Zhang; Zeyang Cui; Hao Chen 062; Yilin Xiao 002; Jiannong Cao 001; Xiao Huang 001 (CoRR, 2025)

LoSemB: Logic-Guided Semantic Bridging for Inductive Tool Retrieval. - Luyao Zhuang; Qinggang Zhang; Huachi Zhou; Juhua Liu; Qing Li 001; Xiao Huang 001 (CoRR, 2025)

Unlocking Large Language Model Power in Industry: Privacy-Preserving Collaborative Creation of Knowledge Graph. - Liqiao Xia; Junming Fan; Ajith Kumar Parlikad; Xiao Huang 001; Pai Zheng (IEEE Trans. Big Data, 2025)