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Yang Wang

Chang'an University, Department of Information Engineering, Xi'an, Shaanxi, China

68 papers at tracked venues · 54 at CORE A* · active 2024–2026

DBLP profile ↗ORCID 0000-0002-6079-7053 ↗

Venues

NeurIPS ×15AAAI ×11IJCAI ×9ICLR ×7ICML ×6ACL ×5WWW ×5EMNLP ×2SIGKDD ×2CIKM ×1CVPR ×1ICDE ×1ICRA ×1VLDB ×1WSDM ×1

Frequent coauthors

Zhe Zhao
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Jiaming Ma
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Yudong Zhang
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Qihe Huang
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Binwu Wang
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Long Peng
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Kuo Yang
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Zhuo Chen
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Jiahui Zhang
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Wenjie Du
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Kun Wang
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Bohan Lin
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Papers

  1. AgentAsk: Multi-Agent Systems Need to Ask
    ACL 2026 ·
    Bohan Lin
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  2. Augur: Modeling Covariate Causal Associations in Time Series via Large Language Models
    ACL 2026 ·
    Zhiqing Cui
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  3. MSAnchor: De Novo Molecular Generation from Mass Spectrometry Data with Anchor-Extended Molecular Scaffolds
    AAAI 2026 ·
    Xiaohan Qin
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  4. Med-SRAF: A Multi-Agent Framework for Medical Reasoning via Semantic Routing and Agentic Fusion
    ACL 2026 ·
    Xiao Li
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  5. QuiZSF: A Retrieval-Augmented Framework for Zero-Shot Time Series Forecasting
    WWW 2026 ·
    Shichao Ma
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  6. U2B: Scale-unbiased Representation Converter for Graph Classification with Imbalanced and Balanced Scale Distributions
    AAAI 2026 ·
    Guanjun Wang
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  7. Balancing Model Efficiency and Performance: Adaptive Pruner for Long-tailed Data
    ICML 2025 ·
    Zhe Zhao
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  8. BiST: A Lightweight and Efficient Bi-directional Model for Spatiotemporal Prediction
    VLDB 2025 ·
    Jiaming Ma
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  9. Boosting Image De-Raining via Central-Surrounding Synergistic Convolution
    AAAI 2025 ·
    Long Peng
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  10. Bridging the Gap Between Cross-Domain Theory and Practical Application: A Case Study on Molecular Dissolution
    NeurIPS 2025 ·
    Sihan Wang
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  11. COFlowNet: Conservative Constraints on Flows Enable High-Quality Candidate Generation
    ICLR 2025 ·
    Yudong Zhang
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  12. Causal Learning Meet Covariates: Empowering Lightweight and Effective Nationwide Air Quality Forecasting
    IJCAI 2025 ·
    Jiaming Ma
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  13. DIFFODE: Neural ODE with Differentiable Hidden State for Irregular Time Series Analysis
    ICDE 2025 ·
    Yudong Zhang
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  14. DO-CoLM: Dynamic 3D Conformation Relationships Capture with Self-Adaptive Ordering Molecular Relational Modeling in Language Models
    IJCAI 2025 ·
    Zhuo Chen
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  15. Deciphering the Extremes: A Novel Approach for Pathological Long-tailed Recognition in Scientific Discovery
    NeurIPS 2025 ·
    Zhe Zhao
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  16. Directing Mamba to Complex Textures: An Efficient Texture-Aware State Space Model for Image Restoration
    IJCAI 2025 ·
    Long Peng
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  17. Do We Really Need GCNs in Traffic Forecasting? A Graph-Less Pure-MLP Architecture
    WWW 2025 ·
    Yudong Zhang
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  18. Drawing Informative Gradients from Sources: A One-stage Transfer Learning Framework for Cross-city Spatiotemporal Forecasting
    AAAI 2025 ·
    Yudong Zhang
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  19. Drivel-ology: Challenging LLMs with Interpreting Nonsense with Depth
    EMNLP 2025 · Yang Wang
  20. Dynamic and Chemical Constraints to Enhance the Molecular Masked Graph Autoencoders
    NeurIPS 2025 ·
    Jiahui Zhang
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  21. Enhancing Graph Invariant Learning from a Negative Inference Perspective
    ICML 2025 ·
    Kuo Yang
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  22. Enhancing the Maximum Effective Window for Long-Term Time Series Forecasting
    NeurIPS 2025 ·
    Jiahui Zhang
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  23. Exploiting Language Power for Time Series Forecasting with Exogenous Variables
    WWW 2025 ·
    Qihe Huang
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  24. FedSTG: Breaking through Spatio-Temporal Data Silos with Federated Graph Learning
    WWW 2025 ·
    Yudong Zhang
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  25. G-Safeguard: A Topology-Guided Security Lens and Treatment on LLM-based Multi-agent Systems
    ACL 2025 ·
    Shilong Wang
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  26. Integrating Drug Substructures and Longitudinal Electronic Health Records for Personalized Drug Recommendation
    NeurIPS 2025 ·
    Wenjie Du
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  27. Iterative Substructure Extraction for Molecular Relational Learning with Interactive Graph Information Bottleneck
    ICLR 2025 ·
    Shuai Zhang
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  28. LamPro: Multi-Prototype Representation Learning for Enhanced Visual Pattern Recognition
    ICRA 2025 ·
    Ji Qi
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  29. Less but More: Linear Adaptive Graph Learning Empowering Spatiotemporal Forecasting
    NeurIPS 2025 ·
    Jiaming Ma
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  30. MTGIB-UNet: A Multi-Task Graph Information Bottleneck and Uncertainty Weighted Network for ADMET Prediction
    IJCAI 2025 ·
    Xuqiang Li
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  31. Many Minds, One Goal: Time Series Forecasting via Sub-task Specialization and Inter-agent Cooperation
    NeurIPS 2025 ·
    Qihe Huang
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  32. MoFo: Empowering Long-term Time Series Forecasting with Periodic Pattern Modeling
    NeurIPS 2025 ·
    Jiaming Ma
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  33. ModuLM: Enabling Modular and Multimodal Molecular Relational Learning with Large Language Models
    NeurIPS 2025 ·
    Zhuo Chen
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  34. Multi-label Self Knowledge Distillation
    AAAI 2025 ·
    Xucong Wang
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  35. NetSafe: Exploring the Topological Safety of Multi-agent System
    ACL 2025 ·
    Miao Yu
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  36. Open-CK: A Large Multi-Physics Fields Coupling benchmarks in Combustion Kinetics
    ICLR 2025 ·
    Zaige Fei
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  37. PMQ-VE: Progressive Multi-Frame Quantization for Video Enhancement
    NeurIPS 2025 ·
    Zhanfeng Feng
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  38. QMambaBSR: Burst Image Super-Resolution with Query State Space Model
    CVPR 2025 ·
    Xin Di
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  39. Revealing Concept Shift in Spatio-Temporal Graphs via State Learning
    IJCAI 2025 ·
    Kuo Yang
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  40. Robust Spatio-Temporal Centralized Interaction for OOD Learning
    ICML 2025 ·
    Jiaming Ma
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  41. SMamba: Sparse Mamba for Event-based Object Detection
    AAAI 2025 ·
    Nan Yang
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  42. STEM-LTS: Integrating Semantic-Temporal Dynamics in LLM-driven Time Series Analysis
    AAAI 2025 ·
    Zhe Zhao
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  43. SynEVO: A neuro-inspired spatiotemporal evolutional framework for cross-domain adaptation
    ICML 2025 ·
    Jiayue Liu
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  44. TS-MOF: Two-Stage Multi-Objective Fine-tuning for Long-Tailed Recognition
    NeurIPS 2025 ·
    Zhe Zhao
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  45. Time-Frequency Disentanglement Boosted Pre-Training: A Universal Spatio-Temporal Modeling Framework
    IJCAI 2025 ·
    Yudong Zhang
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  46. TimeBase: The Power of Minimalism in Efficient Long-term Time Series Forecasting
    ICML 2025 ·
    Qihe Huang
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  47. Towards Realistic Data Generation for Real-World Super-Resolution
    ICLR 2025 ·
    Long Peng
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  48. A Twist for Graph Classification: Optimizing Causal Information Flow in Graph Neural Networks
    AAAI 2024 ·
    Zhe Zhao
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  49. Breaking Long-Tailed Learning Bottlenecks: A Controllable Paradigm with Hypernetwork-Generated Diverse Experts
    NeurIPS 2024 ·
    Zhe Zhao
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  50. CreST: A Credible Spatiotemporal Learning Framework for Uncertainty-aware Traffic Forecasting
    WSDM 2024 ·
    Zhengyang Zhou
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  51. Get Rid of Isolation: A Continuous Multi-task Spatio-Temporal Learning Framework
    NeurIPS 2024 ·
    Zhongchao Yi
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  52. Graph Lottery Ticket Automated
    ICLR 2024 ·
    Guibin Zhang
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  53. HDMixer: Hierarchical Dependency with Extendable Patch for Multivariate Time Series Forecasting
    AAAI 2024 ·
    Qihe Huang
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  54. Improving Generalization of Dynamic Graph Learning via Environment Prompt
    NeurIPS 2024 ·
    Kuo Yang
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  55. Kill Two Birds with One Stone: Rethinking Data Augmentation for Deep Long-tailed Learning
    ICLR 2024 ·
    Binwu Wang
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  56. LLM-AutoDA: Large Language Model-Driven Automatic Data Augmentation for Long-tailed Problems
    NeurIPS 2024 ·
    Pengkun Wang
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  57. LLM-Based Agent Society Investigation: Collaboration and Confrontation in Avalon Gameplay
    EMNLP 2024 ·
    Yihuai Lan
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  58. LeRet: Language-Empowered Retentive Network for Time Series Forecasting
    IJCAI 2024 ·
    Qihe Huang
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  59. MMGNN: A Molecular Merged Graph Neural Network for Explainable Solvation Free Energy Prediction
    IJCAI 2024 ·
    Wenjie Du
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  60. Make Bricks with a Little Straw: Large-Scale Spatio-Temporal Graph Learning with Restricted GPU-Memory Capacity
    IJCAI 2024 ·
    Binwu Wang
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  61. NondBREM: Nondeterministic Offline Reinforcement Learning for Large-Scale Order Dispatching
    AAAI 2024 ·
    Hongbo Zhang
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  62. NuwaDynamics: Discovering and Updating in Causal Spatio-Temporal Modeling
    ICLR 2024 ·
    Kun Wang
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  63. STONE: A Spatio-temporal OOD Learning Framework Kills Both Spatial and Temporal Shifts
    SIGKDD 2024 ·
    Binwu Wang
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  64. The Snowflake Hypothesis: Training and Powering GNN with One Node One Receptive Field
    SIGKDD 2024 ·
    Kun Wang
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  65. Towards Dynamic Spatial-Temporal Graph Learning: A Decoupled Perspective
    AAAI 2024 ·
    Binwu Wang
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  66. Two Fists, One Heart: Multi-Objective Optimization Based Strategy Fusion for Long-tailed Learning
    ICML 2024 ·
    Zhe Zhao
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  67. When Imbalance Meets Imbalance: Structure-driven Learning for Imbalanced Graph Classification
    WWW 2024 ·
    Wei Xu
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  68. XRDMamba: Large-scale Crystal Material Space Group Identification with Selective State Space Model
    CIKM 2024 ·
    Liheng Yu
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