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Chang Xu

University of Sydney, School of Information Technologies, UBTECH Sydney Artificial Intelligence Centre, NSW, Australia

52 papers at tracked venues · 43 at CORE A* · active 2024–2026

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Venues

ICML ×9CVPR ×8ICLR ×8AAAI ×6ECCV ×5NeurIPS ×4ACM MM ×3ACL ×2EMNLP ×1ICCV ×1IJCAI ×1MICCAI ×1NAACL ×1SIGKDD ×1WWW ×1

Frequent coauthors

Zijian Wang
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Chen Chen
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Tao Huang
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Mengyu Zheng
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Junyu Zhang
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Siyu Xu
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Jinxu Lin
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Xiaohuan Pei
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Linwei Tao
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Qiang Chen
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Fangyun Wei
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Yunke Wang
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Papers

  1. Eliciting Chain-of-Thought in Base LLMs via Gradient-Based Representation Optimization
    AAAI 2026 ·
    Zijian Wang
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  2. Mitigating Legal Hallucinations via Symbolic Constraints and Analogical Precedents
    ACL 2026 ·
    Zixuan Huang
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  3. Adversarial Robustness via Deformable Convolution with Stochasticity
    ICML 2025 ·
    Yanxiang Ma
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  4. Anti-Exposure Bias in Diffusion Models
    ICLR 2025 ·
    Junyu Zhang
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  5. Beyond One-Hot Labels: Semantic Mixing for Model Calibration
    ICML 2025 ·
    Haoyang Luo
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  6. CaDGS: Modeling Inter-Gaussian Mutual Information for Dynamic Novel View Synthesis
    ACM MM 2025 ·
    Yunlong Zhao
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  7. CollagePrompt: A Benchmark for Budget-Friendly Visual Recognition with GPT-4V
    NAACL 2025 ·
    Siyu Xu
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  8. DentEval: Fine-tuning-Free Expert-Aligned Assessment in Dental Education via LLM Agents
    MICCAI 2025 ·
    Xinyu Deng
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  9. Diffusion Attribution Score: Evaluating Training Data Influence in Diffusion Models
    ICLR 2025 ·
    Jinxu Lin
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  10. Efficient Image-to-Image Diffusion Classifier for Adversarial Robustness
    AAAI 2025 ·
    Hefei Mei
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  11. EfficientVMamba: Atrous Selective Scan for Light Weight Visual Mamba
    AAAI 2025 ·
    Xiaohuan Pei
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  12. Enhancing Privacy-Utility Trade-offs to Mitigate Memorization in Diffusion Models
    CVPR 2025 ·
    Chen Chen
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  13. Exploring Local Memorization in Diffusion Models via Bright Ending Attention
    ICLR 2025 ·
    Chen Chen
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  14. Feature Clipping for Uncertainty Calibration
    AAAI 2025 ·
    Linwei Tao
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  15. FusionSAM: Visual Multi-Modal Learning with Segment Anything Model
    SIGKDD 2025 ·
    Daixun Li
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  16. Graph Unlearning Meets Influence-aware Negative Preference Optimization
    ACM MM 2025 ·
    Qiang Chen
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  17. Identify, Isolate, and Purge: Mitigating Hallucinations in LVLMs via Self-Evolving Distillation
    ACM MM 2025 ·
    Wenhao Li
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  18. Learning Mask Invariant Mutual Information for Masked Image Modeling
    ICLR 2025 ·
    Tao Huang
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  19. Lumina-Image 2.0: a Unified and Efficient Image Generative Framework
    ICCV 2025 ·
    Qi Qin
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  20. Minimizing Labeled, Maximizing Unlabeled: An Image-Driven Approach for Video Instance Segmentation
    CVPR 2025 ·
    Fangyun Wei
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  21. Position: AI Scaling: From Up to Down and Out
    ICML 2025 ·
    Yunke Wang
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  22. Representative Guidance: Diffusion Model Sampling with Coherence
    ICLR 2025 ·
    Anh-Dung Dinh
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  23. Stable Fair Graph Representation Learning with Lipschitz Constraint
    ICML 2025 ·
    Qiang Chen
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  24. ThoughtProbe: Classifier-Guided LLM Thought Space Exploration via Probing Representations
    EMNLP 2025 ·
    Zijian Wang
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  25. Uncertainty Weighted Gradients for Model Calibration
    CVPR 2025 ·
    Jinxu Lin
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  26. Understanding and Mitigating Hallucination in Large Vision-Language Models via Modular Attribution and Intervention
    ICLR 2025 ·
    Tianyun Yang
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  27. UniGraspTransformer: Simplified Policy Distillation for Scalable Dexterous Robotic Grasping
    CVPR 2025 ·
    Wenbo Wang
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  28. VLA-Cache: Efficient Vision-Language-Action Manipulation via Adaptive Token Caching
    NeurIPS 2025 ·
    Siyu Xu
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  29. WaterDiffusion: Learning a Prior-involved Unrolling Diffusion for Joint Underwater Saliency Detection and Visual Restoration
    AAAI 2025 ·
    Laibin Chang
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  30. Workshop on Sustainable AI for the Future Web
    WWW 2025 · Chang Xu
  31. A Benchmark Study on Calibration
    ICLR 2024 ·
    Linwei Tao
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  32. A Large-Scale Human-Centric Benchmark for Referring Expression Comprehension in the LMM Era
    NeurIPS 2024 ·
    Fangyun Wei
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  33. AMD: Autoregressive Motion Diffusion
    AAAI 2024 ·
    Bo Han
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  34. Active Generation for Image Classification
    ECCV 2024 ·
    Tao Huang
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  35. Adapt Without Forgetting: Distill Proximity from Dual Teachers in Vision-Language Models
    ECCV 2024 ·
    Mengyu Zheng
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  36. Boosting Diffusion Models with an Adaptive Momentum Sampler
    IJCAI 2024 ·
    Xiyu Wang
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  37. Bridging Data Gaps in Diffusion Models with Adversarial Noise-Based Transfer Learning
    ICML 2024 ·
    Xiyu Wang
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  38. Data-efficient Large Vision Models through Sequential Autoregression
    ICML 2024 ·
    Zhiwei Hao
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  39. Detecting Any instruction-to-answer interaction relationship: Universal Instruction-to-Answer Navigator for Med-VQA
    ICML 2024 ·
    Zhongze Wu
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  40. Enhancing Large Language Models through Adaptive Tokenizers
    NeurIPS 2024 ·
    Mengyu Zheng
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  41. GeminiFusion: Efficient Pixel-wise Multimodal Fusion for Vision Transformer
    ICML 2024 ·
    Ding Jia
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  42. Hybrid Proposal Refiner: Revisiting DETR Series from the Faster R-CNN Perspective
    CVPR 2024 ·
    Jinjing Zhao
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  43. Imitation Learning from Purified Demonstrations
    ICML 2024 ·
    Yunke Wang
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  44. LocalMamba: Visual State Space Model with Windowed Selective Scan
    ECCV 2024 ·
    Tao Huang
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  45. Locating and Extracting Relational Concepts in Large Language Models
    ACL 2024 ·
    Zijian Wang
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  46. Multi-Scale VMamba: Hierarchy in Hierarchy Visual State Space Model
    NeurIPS 2024 ·
    Yuheng Shi
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  47. Neural Architecture Retrieval
    ICLR 2024 ·
    Xiaohuan Pei
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  48. Random Entangled Tokens for Adversarially Robust Vision Transformer
    CVPR 2024 ·
    Huihui Gong
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  49. Residual Learning in Diffusion Models
    CVPR 2024 ·
    Junyu Zhang
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  50. Towards Memorization-Free Diffusion Models
    CVPR 2024 ·
    Chen Chen
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  51. Training-Free Composite Scene Generation for Layout-to-Image Synthesis
    ECCV 2024 ·
    Jiaqi Liu
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  52. Visual Prompting via Partial Optimal Transport
    ECCV 2024 ·
    Mengyu Zheng
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