Tianle Zhang

Venues

Frequent coauthors

Papers

1. The Mark Fades: Adaptive Evolutionary Paraphrase-based Attack against LLM Watermarks
   ACL 2026 ·

   Yusheng Zhao

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2. To Align or Not to Align: Strategic Multimodal Representation Alignment for Optimal Performance
   AAAI 2026 ·

   Wanlong Fang

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3. Visual Attention Reasoning via Hierarchical Search and Self-Verification
   ACL 2026 ·

   Wei Cai

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4. When Safe Unimodal Inputs Collide: Optimizing Reasoning Chains for Cross-Modal Safety in Multimodal Large Language Models
   AAAI 2026 ·

   Wei Cai

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5. Can LLMs Reason Over Non-Text Modalities in a Training-Free Manner? A Case Study with In-Context Representation Learning
   NeurIPS 2025 · Tianle Zhang
6. IMPACT: Irregular Multi-Patch Adversarial Composition Based on Two‑Phase Optimization
   NeurIPS 2025 ·

   Zenghui Yang

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7. PIGDreamer: Privileged Information Guided World Models for Safe Partially Observable Reinforcement Learning
   ICML 2025 ·

   Dongchi Huang

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8. RDI: An adversarial robustness evaluation metric for deep neural networks based on model statistical features
   UAI 2025 ·

   Jialei Song

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9. Safe Semantics, Unsafe Interpretations: Tackling Implicit Reasoning Safety in Large Vision-Language Models
   ACM MM 2025 ·

   Wei Cai

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10. Continuous Geometry-Aware Graph Diffusion via Hyperbolic Neural PDE
    ECML-PKDD 2024 ·

    Jiaxu Liu

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11. ConvBench: A Multi-Turn Conversation Evaluation Benchmark with Hierarchical Ablation Capability for Large Vision-Language Models
    NeurIPS 2024 ·

    Shuo Liu

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12. MuEP: A Multimodal Benchmark for Embodied Planning with Foundation Models
    IJCAI 2024 ·

    Kanxue Li

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13. Navigating Complexity: Toward Lossless Graph Condensation via Expanding Window Matching
    ICML 2024 ·

    Yuchen Zhang

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14. PRASS: Probabilistic Risk-averse Robust Learning with Stochastic Search
    IJCAI 2024 · Tianle Zhang
15. PTDE: Personalized Training with Distilled Execution for Multi-Agent Reinforcement Learning
    IJCAI 2024 ·

    Yiqun Chen

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16. RePOSE: 3D Human Pose Estimation via Spatio-Temporal Depth Relational Consistency
    ECCV 2024 ·

    Ziming Sun

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17. Rethinking Human Evaluation Protocol for Text-to-Video Models: Enhancing Reliability, Reproducibility, and Practicality
    NeurIPS 2024 · Tianle Zhang
18. Reward Certification for Policy Smoothed Reinforcement Learning
    AAAI 2024 ·

    Ronghui Mu

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19. Towards Fairness-Aware Adversarial Learning
    CVPR 2024 ·

    Yanghao Zhang

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