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Hao Liu

Hong Kong University of Science and Technology-Guangzhou (HKUST-GZ), Guangzhou, China

39 papers at tracked venues · 34 at CORE A* · active 2024–2026

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Venues

SIGKDD ×15AAAI ×4NeurIPS ×4WWW ×4EMNLP ×3VLDB ×2ACL ×1ECML-PKDD ×1ICDE ×1ICLR ×1ICML ×1IJCAI ×1SIGIR ×1

Frequent coauthors

Fan Liu
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Weijia Zhang
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Lu Dai
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Tengfei Lyu
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Jindong Han
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Hao Wang
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Zhuoning Guo
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Wenzhao Jiang
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Hang Ni
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Yansong Ning
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Zhe-Rui Yang
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Wenshuo Chao
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Papers

  1. An LLM-Powered Cooperative Framework for Large-Scale Multi-Vehicle Navigation
    WWW 2026 ·
    Yuping Zhou
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  2. ClimAgent: LLM as Agents for Autonomous Open-ended Climate Science Analysis
    ACL 2026 ·
    Hao Wang
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  3. GPU-accelerated Multi-relational Parallel Graph Retrieval for Web-scale Recommendations
    WWW 2026 ·
    Zhuoning Guo
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  4. Hard vs. Noise: Resolving Hard-Noisy Sample Confusion in Recommender Systems via Large Language Models
    AAAI 2026 ·
    Tianrui Song
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  5. LLM-Oriented Information Retrieval: A Denoising-First Perspective
    SIGIR 2026 ·
    Lu Dai
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  6. MixTTE: Multi-Level Mixture-of-Experts for Scalable and Adaptive Travel Time Estimation
    SIGKDD 2026 ·
    Wenzhao Jiang
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  7. Physics-Informed Teleconnection-Aware Transformer for Global Subseasonal-to-Seasonal Forecasting
    SIGKDD 2026 ·
    Tengfei Lyu
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  8. UniExtreme: A Universal Foundation Model for Extreme Weather Forecasting
    SIGKDD 2026 ·
    Hang Ni
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  9. AutoSTF: Decoupled Neural Architecture Search for Cost-Effective Automated Spatio-Temporal Forecasting
    SIGKDD 2025 ·
    Tengfei Lyu
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  10. Automatic Instruction Data Selection for Large Language Models via Uncertainty-Aware Influence Maximization
    WWW 2025 ·
    Jindong Han
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  11. Bag of Tricks for Inference-time Computation of LLM Reasoning
    NeurIPS 2025 ·
    Fan Liu
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  12. Bkd-FedGNN: A Benchmark for Classification Backdoor Attacks on Federated Graph Neural Network
    ECML-PKDD 2025 ·
    Fan Liu
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  13. DiMA: An LLM-Powered Ride-Hailing Assistant at DiDi
    SIGKDD 2025 ·
    Yansong Ning
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  14. Erase Then Rectify: A Training-Free Parameter Editing Approach for Cost-Effective Graph Unlearning
    AAAI 2025 ·
    Zhe-Rui Yang
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  15. Foundation Models for Scientific Discovery: From Paradigm Enhancement to Paradigm Transition
    NeurIPS 2025 ·
    Fan Liu
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  16. GraphLoRA: Structure-Aware Contrastive Low-Rank Adaptation for Cross-Graph Transfer Learning
    SIGKDD 2025 ·
    Zhe-Rui Yang
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  17. Joint Dependency and Conflicting Task Allocation in Collaboration-Aware Spatial Crowdsourcing
    ICDE 2025 ·
    Jiajun Yao
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  18. LLMLight: Large Language Models as Traffic Signal Control Agents
    SIGKDD 2025 ·
    Siqi Lai
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  19. MM-Agent: LLM as Agents for Real-world Mathematical Modeling Problem
    NeurIPS 2025 ·
    Fan Liu
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  20. NRFormer: Nationwide Nuclear Radiation Forecasting with Spatio-Temporal Transformer
    SIGKDD 2025 ·
    Tengfei Lyu
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  21. RePST: Language Model Empowered Spatio-Temporal Forecasting via Semantic-Oriented Reprogramming
    IJCAI 2025 ·
    Hao Wang
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  22. SDE: A Simplified and Disentangled Dependency Encoding Framework for State Space Models in Time Series Forecasting
    SIGKDD 2025 ·
    Zixuan Weng
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  23. ScIRGen: Synthesize Realistic and Large-Scale RAG Dataset for Scientific Research
    SIGKDD 2025 ·
    Junyong Lin
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  24. Scalable Pre-Training of Compact Urban Spatio-Temporal Predictive Models on Large-Scale Multi-Domain Data
    VLDB 2025 ·
    Jindong Han
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  25. SePer: Measure Retrieval Utility Through The Lens Of Semantic Perplexity Reduction
    ICLR 2025 ·
    Lu Dai
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  26. Subgraph Federated Unlearning
    WWW 2025 ·
    Fan Liu
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  27. TP-RAG: Benchmarking Retrieval-Augmented Large Language Model Agents for Spatiotemporal-Aware Travel Planning
    EMNLP 2025 ·
    Hang Ni
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  28. Unleashing The Power of Pre-Trained Language Models for Irregularly Sampled Time Series
    SIGKDD 2025 ·
    Weijia Zhang
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  29. A Cross-View Hierarchical Graph Learning Hypernetwork for Skill Demand-Supply Joint Prediction
    AAAI 2024 ·
    Wenshuo Chao
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  30. BigST: Linear Complexity Spatio-Temporal Graph Neural Network for Traffic Forecasting on Large-Scale Road Networks
    VLDB 2024 ·
    Jindong Han
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  31. HiFGL: A Hierarchical Framework for Cross-silo Cross-device Federated Graph Learning
    SIGKDD 2024 ·
    Zhuoning Guo
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  32. Improve Dense Passage Retrieval with Entailment Tuning
    EMNLP 2024 ·
    Lu Dai
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  33. Interpretable Cascading Mixture-of-Experts for Urban Traffic Congestion Prediction
    SIGKDD 2024 ·
    Wenzhao Jiang
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  34. Irregular Multivariate Time Series Forecasting: A Transformable Patching Graph Neural Networks Approach
    ICML 2024 ·
    Weijia Zhang
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  35. Irregular Traffic Time Series Forecasting Based on Asynchronous Spatio-Temporal Graph Convolutional Networks
    SIGKDD 2024 ·
    Weijia Zhang
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  36. Make Large Language Model a Better Ranker
    EMNLP 2024 ·
    Wenshuo Chao
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  37. Self-Paced Unified Representation Learning for Hierarchical Multi-Label Classification
    AAAI 2024 ·
    Zixuan Yuan
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  38. Urban Foundation Models: A Survey
    SIGKDD 2024 ·
    Weijia Zhang
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  39. UrbanKGent: A Unified Large Language Model Agent Framework for Urban Knowledge Graph Construction
    NeurIPS 2024 ·
    Yansong Ning
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