Huang, Xiao

26 publications

TMLR 2026 Nondeterministic Polynomial-Time Problem Challenge: An Ever-Scaling Reasoning Benchmark for LLMs 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

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

ICML 2025 Offline-to-Online Reinforcement Learning with Classifier-Free Diffusion Generation Xiao Huang, Xu Liu, Enze Zhang, Tong Yu, Shuai Li

ICLR 2025 Reframing Structure-Based Drug Design Model Evaluation via Metrics Correlated to Practical Needs Bowen Gao, Haichuan Tan, Yanwen Huang, Minsi Ren, Xiao Huang, Wei-Ying Ma, Ya-Qin Zhang, Yanyan Lan

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

ICML 2025 Structure-Guided Large Language Models for Text-to-SQL Generation Qinggang Zhang, Hao Chen, Junnan Dong, Shengyuan Chen, Feiran Huang, Xiao Huang

ICML 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

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

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

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 KnowGPT: Knowledge Graph Based Prompting for Large Language Models Qinggang Zhang, Junnan Dong, Hao Chen, Daochen Zha, Zailiang Yu, Xiao Huang

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

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

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

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

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

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

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

IJCAI 2020 Speeding up Very Fast Decision Tree with Low Computational Cost Jian Sun, Hongyu Jia, Bo Hu, Xiao Huang, Hao Zhang, Hai Wan, Xibin Zhao

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

AAAI 2019 Large-Scale Heterogeneous Feature Embedding Xiao Huang, Qingquan Song, Fan Yang, Xia Hu

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

IJCAI 2017 A General Multi-Agent Epistemic Planner Based on Higher-Order Belief Change Xiao Huang, Biqing Fang, Hai Wan, Yongmei Liu

IJCAI 2017 Accelerated Local Anomaly Detection via Resolving Attributed Networks Ninghao Liu, Xiao Huang, Xia Hu

ECCV 2004 Motivational System for Human-Robot Interaction Xiao Huang, Juyang Weng