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Haotian Wang

National University of Defense Technology, Changsha, China

23 papers at tracked venues · 20 at CORE A* · active 2024–2026

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Venues

AAAI ×6NeurIPS ×5SIGKDD ×3ACL ×2WWW ×2ECML-PKDD ×1EMNLP ×1ICDM ×1ICLR ×1ICML ×1

Frequent coauthors

Kexin Ma
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Xinpeng Lv
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Wenjing Yang
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Fengxiang Wang
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Yulin He
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Meng Zhang
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Yikai Chen
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Mingyang Geng
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Yanghui Fu
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Lingyuan Meng
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Shixuan Liu
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Yang Shi
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Papers

  1. Attention to Threat-Relevant Objects: Reasoning Detection in Autonomous Driving via Multimodal Large Language Models
    AAAI 2026 ·
    Yulin He
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  2. CORES: Code-Oriented Reasoning for Complex Text-to-SQL and Generalizable TableQA
    ACL 2026 ·
    Meng Zhang
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  3. Conflict-Aware Memory for Embodied Agents: Enhancing Vector Data Quality via Detection Rules
    ACL 2026 ·
    Kexin Ma
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  4. Detecting Unobserved Confounders: A Kernelized Regression Approach
    AAAI 2026 ·
    Yikai Chen
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  5. Failure Localization in Multi-Agent Code Generation via Knowledge-Guided and Transferable Reasoning
    AAAI 2026 ·
    Mingyang Geng
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  6. Invariant Learning on Heterogeneous Graphs via Subgraph Environment Inference
    WWW 2026 ·
    Yanghui Fu
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  7. Make Model Transparent: Brain Network Analysis via Causal and Knowledge Graph Learning
    AAAI 2026 ·
    Lingyuan Meng
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  8. Partial Fairness Awareness: Belief-Guided Strategic Mechanism for Strategic Agents
    AAAI 2026 ·
    Xinpeng Lv
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  9. Advanced Strategic Improvement with Decision Interactions
    ECML-PKDD 2025 ·
    Wenjing Yang
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  10. Breaking the Gradient Barrier: Unveiling Large Language Models for Strategic Classification
    NeurIPS 2025 ·
    Xinpeng Lv
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  11. Effective and Efficient Time-Varying Counterfactual Prediction with State-Space Models
    ICLR 2025 · Haotian Wang
  12. Environment Inference for Learning Generalizable Dynamical System
    NeurIPS 2025 ·
    Shixuan Liu
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  13. GeoLLaVA-8K: Scaling Remote-Sensing Multimodal Large Language Models to 8K Resolution
    NeurIPS 2025 ·
    Fengxiang Wang
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  14. Learning Feasible Causal Algorithmic Recourse: A Prior Structural Knowledge Free Approach
    WWW 2025 · Haotian Wang
  15. MME-VideoOCR: Evaluating OCR-Based Capabilities of Multimodal LLMs in Video Scenarios
    NeurIPS 2025 ·
    Yang Shi
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  16. PDMC: Generating Feasible Algorithmic Recourse via Perturbation Data Manifold Constraint
    SIGKDD 2025 ·
    Zimu Wang
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  17. PPA-Game: Characterizing and Learning Competitive Dynamics Among Online Content Creators
    SIGKDD 2025 ·
    Renzhe Xu
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  18. RoMA: Scaling up Mamba-based Foundation Models for Remote Sensing
    NeurIPS 2025 ·
    Fengxiang Wang
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  19. Unbiased Recommender Learning from Implicit Feedback via Weakly Supervised Learning
    ICML 2025 ·
    Hao Wang
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  20. Context-Driven Index Trimming: A Data Quality Perspective to Enhancing Precision of RALMs
    EMNLP 2024 ·
    Kexin Ma
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  21. Learning Feasible Causal Algorithmic Recourse without Prior Structure
    ICDM 2024 · Haotian Wang
  22. Scaling Few-Shot Learning for the Open World
    AAAI 2024 ·
    Zhipeng Lin
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  23. Your Neighbor Matters: Towards Fair Decisions Under Networked Interference
    SIGKDD 2024 ·
    Wenjing Yang
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