Yong Wang

Venues

Frequent coauthors

Papers

1. AdaCuRL: Adaptive Curriculum Reinforcement Learning with Invalid Sample Mitigation and Historical Revisiting
   AAAI 2026 ·

   Renda Li

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2. Adaptive Task Balancing for Visual Instruction Tuning via Inter-Task Contribution and Intra-Task Difficulty
   WWW 2026 ·

   Yanqi Dai

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3. Breaking Block Boundaries: Anchor-based History-stable Decoding for Diffusion Large Language Models
   ACL 2026 ·

   Shun Zou

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4. CaM-HG: Causal-Enhanced MoE and Hypergraphs Network for Incomplete Multimodal Emotion Recognition in Conversations
   ACL 2026 ·

   Mingjian Yang

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5. CaT-Diff: Cascaded Text-enhanced Diffusion Model for Time-Series Imputation
   AAAI 2026 ·

   Changjian Xu

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6. CoEvolve: Training LLM Agents via Agent-Data Mutual Evolution
   ACL 2026 ·

   Shidong Yang

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7. Thinking with Map: Reinforced Parallel Map-Augmented Agent for Geolocalization
   ACL 2026 ·

   Yuxiang Ji

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8. Visually-Guided Policy Optimization for Multimodal Reasoning
   ACL 2026 ·

   Zengbin Wang

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9. Where and What Matters: Sensitivity-Aware Task Vectors for Many-Shot Multimodal In-Context Learning
   AAAI 2026 ·

   Ziyu Ma

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10. Cross-MoE: An Efficient Temporal Prediction Framework Integrating Textual Modality
    EMNLP 2025 ·

    Ruizheng Huang

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11. Detecting Interference using Dyadic Data in Online Controlled Experiments
    SIGKDD 2025 ·

    Yilin Li

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12. HS-STaR: Hierarchical Sampling for Self-Taught Reasoners via Difficulty Estimation and Budget Reallocation
    EMNLP 2025 ·

    Feng Xiong

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13. Keep Your Friends Close, and Your Enemies Farther: Distance-Aware Voxel-Wise Contrastive Learning for Semi-Supervised Multi-Organ Segmentation
    ICCV 2025 ·

    Haochen Zhao

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14. Knowledge-Aligned Counterfactual-Enhancement Diffusion Perception for Unsupervised Cross-Domain Visual Emotion Recognition
    CVPR 2025 ·

    Wen Yin

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15. LD-RPS: Zero-Shot Unified Image Restoration via Latent Diffusion Recurrent Posterior Sampling
    ICCV 2025 ·

    Huaqiu Li

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16. METDrive: Multimodal End-to-End Autonomous Driving with Temporal Guidance
    ICRA 2025 ·

    Ziang Guo

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17. POSITION BIAS MITIGATES POSITION BIAS: Mitigate Position Bias Through Inter-Position Knowledge Distillation
    EMNLP 2025 ·

    Yifei Wang

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18. Powerformer: A Section-adaptive Transformer for Power Flow Adjustment
    SIGKDD 2025 ·

    Kaixuan Chen

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19. Twisted Twin: A Collaborative and Competitive Memory Management Approach in HTAP Systems
    VLDB 2025 ·

    Jiani Yang

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20. UPRE: Zero-Shot Domain Adaptation for Object Detection via Unified Prompt and Representation Enhancement
    ICCV 2025 ·

    Xiao Zhang

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21. USP: Unified Self-Supervised Pretraining for Image Generation and Understanding
    ICCV 2025 ·

    Xiangxiang Chu

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22. CAGRA: Highly Parallel Graph Construction and Approximate Nearest Neighbor Search for GPUs
    ICDE 2024 ·

    Hiroyuki Ootomo

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23. FaceCom: Towards High-fidelity 3D Facial Shape Completion via Optimization and Inpainting Guidance
    CVPR 2024 ·

    Yinglong Li

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24. GTPT: Group-Based Token Pruning Transformer for Efficient Human Pose Estimation
    ECCV 2024 ·

    Haonan Wang

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25. Large-Scale Metric Computation in Online Controlled Experiment Platform
    VLDB 2024 ·

    Tao Xiong

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26. On the Concept Trustworthiness in Concept Bottleneck Models
    AAAI 2024 ·

    Qihan Huang

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27. Refining Intraocular Lens Power Calculation: A Multi-modal Framework Using Cross-Layer Attention and Effective Channel Attention
    MICCAI 2024 ·

    Qian Zhou

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28. Sequential Optimum Test with Multi-armed Bandits for Online Experimentation
    CIKM 2024 ·

    Fang Kong

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29. Training-Free Pretrained Model Merging
    CVPR 2024 ·

    Zhengqi Xu

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