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Yuxin Chen

35 papers at tracked venues · 26 at CORE A* · active 2024–2026

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Venues

NeurIPS ×8ACL ×4ICCV ×3UAI ×3AAAI ×2CVPR ×2ICLR ×2ICML ×2ICRA ×2AAMAS ×1AISTATS ×1COLT ×1ECCV ×1SIGIR ×1SIGKDD ×1WWW ×1

Frequent coauthors

Zixin Ding
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Ming Wang
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Jiajun Fan
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Zongyang Ma
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Wentao Shi
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Tao Zhang
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Hwanwoo Kim
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Diantong Li
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Yinan Zhou
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Jiahuan Wang
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Fengxue Zhang
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Leheng Sheng
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Papers

  1. AJ-Bench: Benchmarking Agent-as-a-Judge for Environment-Aware Evaluation
    ACL 2026 ·
    Wentao Shi
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  2. Automatic Prompt Engineering for Scalable Prompt Inversion in Text-to-Image Ad Generation
    ACL 2026 ·
    Zixin Ding
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  3. GenPT: Beyond Self-Report for Reliable LLM Psychometrics via Generative Projective Testing
    ACL 2026 ·
    Ming Wang
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  4. MMhops-R1: Multimodal Multi-hop Reasoning
    AAAI 2026 ·
    Tao Zhang
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  5. Adaptive Divergence Regularized Policy Optimization for Fine-tuning Generative Models
    NeurIPS 2025 ·
    Jiajun Fan
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  6. AnnaAgent: Dynamic Evolution Agent System with Multi-Session Memory for Realistic Seeker Simulation
    ACL 2025 ·
    Ming Wang
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  7. Bayesian Optimization with Inexact Acquisition: Is Random Grid Search Sufficient?
    UAI 2025 ·
    Hwanwoo Kim
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  8. Constrained Multi-objective Bayesian Optimization through Optimistic Constraints Estimation
    AISTATS 2025 ·
    Diantong Li
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  9. DOGR: Towards Versatile Visual Document Grounding and Referring
    ICCV 2025 ·
    Yinan Zhou
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  10. Designing Specialized Two-Dimensional Graph Spectral Filters for Spatial-Temporal Graph Modeling
    AAAI 2025 · Yuxin Chen
  11. EditInfinity: Image Editing with Binary-Quantized Generative Models
    NeurIPS 2025 ·
    Jiahuan Wang
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  12. FDPP: Fine-Tune Diffusion Policy with Human Preference
    ICRA 2025 · Yuxin Chen
  13. Finding Interior Optimum of Black-box Constrained Objective with Bayesian Optimization
    UAI 2025 ·
    Fengxue Zhang
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  14. Language Representations Can be What Recommenders Need: Findings and Potentials
    ICLR 2025 ·
    Leheng Sheng
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  15. Low-dimensional adaptation of diffusion models: Convergence in total variation (extended abstract)
    COLT 2025 ·
    Jiadong Liang
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  16. Mamba-3VL: Taming State Space Model for 3D Vision Language Learning
    ICCV 2025 ·
    Yuan Wang
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  17. MindOmni: Unleashing Reasoning Generation in Vision Language Models with RGPO
    NeurIPS 2025 ·
    Yicheng Xiao
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  18. Mono2Stereo: A Benchmark and Empirical Study for Stereo Conversion
    CVPR 2025 ·
    Songsong Yu
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  19. Online Reward-Weighted Fine-Tuning of Flow Matching with Wasserstein Regularization
    ICLR 2025 ·
    Jiajun Fan
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  20. Personalized Recommendation Agents with Self-Consistency
    WWW 2025 ·
    Zijing Wu
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  21. Physics-Aware Robotic Palletization With Online Masking Inference
    ICRA 2025 ·
    Tianqi Zhang
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  22. Riemannian Consistency Model
    NeurIPS 2025 ·
    Chaoran Cheng
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  23. Runtime-Aware Pipeline for Vertical Federated Learning with Bounded Model Staleness
    SIGKDD 2025 ·
    Xiong Wang
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  24. Taming Rectified Flow for Inversion and Editing
    ICML 2025 ·
    Jiangshan Wang
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  25. The Emergence of Abstract Thought in Large Language Models Beyond Any Language
    NeurIPS 2025 · Yuxin Chen
  26. VisionMath: Vision-Form Mathematical Problem-Solving
    ICCV 2025 ·
    Zongyang Ma
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  27. Advancing Cross-domain Discriminability in Continual Learning of Vision-Language Models
    NeurIPS 2024 ·
    Yicheng Xu
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  28. EA-VTR: Event-Aware Video-Text Retrieval
    ECCV 2024 ·
    Zongyang Ma
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  29. GTSinger: A Global Multi-Technique Singing Corpus with Realistic Music Scores for All Singing Tasks
    NeurIPS 2024 ·
    Yu Zhang
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  30. How to Make Cross Encoder a Good Teacher for Efficient Image-Text Retrieval?
    CVPR 2024 · Yuxin Chen
  31. Learning to Rank for Active Learning via Multi-Task Bilevel Optimization
    UAI 2024 ·
    Zixin Ding
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  32. On Generative Agents in Recommendation
    SIGIR 2024 ·
    An Zhang
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  33. On Softmax Direct Preference Optimization for Recommendation
    NeurIPS 2024 · Yuxin Chen
  34. Quantifying Agent Interaction in Multi-agent Reinforcement Learning for Cost-efficient Generalization
    AAMAS 2024 · Yuxin Chen
  35. Transformers Implement Functional Gradient Descent to Learn Non-Linear Functions In Context
    ICML 2024 ·
    Xiang Cheng
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