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Mingming Gong

49 papers at tracked venues · 46 at CORE A* · active 2024–2026

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Venues

NeurIPS ×11ICLR ×10ICML ×7CVPR ×6AAAI ×3ACL ×3ACM MM ×2ICCV ×2SIGKDD ×2ECCV ×1EMNLP ×1UAI ×1

Frequent coauthors

Fengxiang Cheng
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Chuan Zhou
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Xinshu Li
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Xin Li
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Jiaxin Huang
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Wenjie Wang
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Anqi Zhu
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Yuxi Sun
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Sensen Gao
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Yu Yao
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Yingyu Lin
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Xunye Tian
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Papers

  1. FACT-E: Causality-Inspired Evaluation for Trustworthy Chain-of-Thought Reasoning
    ACL 2026 ·
    Yuxi Sun
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  2. Scaling Beyond Context: A Survey of Multimodal Retrieval-Augmented Generation for Document Understanding
    ACL 2026 ·
    Sensen Gao
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  3. Text Embedding as Treatment: A Meta Causal Approach for Robust Sentiment Classification
    ACL 2026 ·
    Fengxiang Cheng
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  4. A Robust Method to Discover Causal or Anticausal Relation
    ICLR 2025 ·
    Yu Yao
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  5. A Skewness-Based Criterion for Addressing Heteroscedastic Noise in Causal Discovery
    ICLR 2025 ·
    Yingyu Lin
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  6. A Two-Stage Pretraining-Finetuning Framework for Treatment Effect Estimation with Unmeasured Confounding
    SIGKDD 2025 ·
    Chuan Zhou
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  7. A Unified Data Representation Learning for Non-parametric Two-sample Testing
    UAI 2025 ·
    Xunye Tian
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  8. Analytic DAG Constraints for Differentiable DAG Learning
    ICLR 2025 ·
    Zhen Zhang
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  9. Causality-aligned Prompt Learning via Diffusion-based Counterfactual Generation
    ACM MM 2025 ·
    Xinshu Li
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  10. Counterfactual Implicit Feedback Modeling
    NeurIPS 2025 ·
    Chuan Zhou
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  11. DIDiffGes: Decoupled Semi-Implicit Diffusion Models for Real-time Gesture Generation from Speech
    AAAI 2025 ·
    Yongkang Cheng
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  12. DREAM: Document Reconstruction via End-to-end Autoregressive Model
    ACM MM 2025 ·
    Xin Li
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  13. Decentralized Dynamic Cooperation of Personalized Models for Federated Continual Learning
    NeurIPS 2025 ·
    Danni Yang
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  14. Detecting Generated Images by Fitting Natural Image Distributions
    NeurIPS 2025 ·
    Yonggang Zhang
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  15. Enhancing Treatment Effect Estimation via Active Learning: A Counterfactual Covering Perspective
    ICML 2025 ·
    Hechuan Wen
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  16. Extracting Rare Dependence Patterns via Adaptive Sample Reweighting
    ICML 2025 ·
    Yiqing Li
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  17. LaVin-DiT: Large Vision Diffusion Transformer
    CVPR 2025 ·
    Zhaoqing Wang
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  18. Learning Imbalanced Data with Beneficial Label Noise
    ICML 2025 ·
    Guangzheng Hu
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  19. LoCA: Location-Aware Cosine Adaptation for Parameter-Efficient Fine-Tuning
    ICLR 2025 ·
    Zhekai Du
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  20. MFT-VITON: High-Fidelity Virtual Try-On with Minimal Input via a Mask-Free Transformer-Diffusion Model
    ICCV 2025 ·
    Zhenchen Wan
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  21. MLLM-For3D: Adapting Multimodal Large Language Model for 3D Reasoning Segmentation
    NeurIPS 2025 ·
    Jiaxin Huang
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  22. MissScore: High-Order Score Estimation in the Presence of Missing Data
    ICML 2025 ·
    Wenqin Liu
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  23. Mitigating Spurious Correlations via Counterfactual Contrastive Learning
    EMNLP 2025 ·
    Fengxiang Cheng
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  24. On the Identification of Temporal Causal Representation with Instantaneous Dependence
    ICLR 2025 ·
    Zijian Li
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  25. OpenInsGaussian: Open-Vocabulary Instance Gaussian Segmentation with Context-Aware Cross-View Fusion
    ICCV 2025 ·
    Tianyu Huang
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  26. Optimal Transport for Time Series Imputation
    ICLR 2025 ·
    Hao Wang
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  27. Practical Kernel Selection for Kernel-based Conditional Independence Test
    NeurIPS 2025 ·
    Wenjie Wang
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  28. Projection Pursuit Density Ratio Estimation
    ICML 2025 ·
    Meilin Wang
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  29. Semantic-guided Cross-Modal Prompt Learning for Skeleton-based Zero-shot Action Recognition
    CVPR 2025 ·
    Anqi Zhu
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  30. SnapGen: Taming High-Resolution Text-to-Image Models for Mobile Devices with Efficient Architectures and Training
    CVPR 2025 ·
    Jierun Chen
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  31. Surprise3D: A Dataset for Spatial Understanding and Reasoning in Complex 3D Scenes
    NeurIPS 2025 ·
    Jiaxin Huang
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  32. Towards Accurate Time Series Forecasting via Implicit Decoding
    NeurIPS 2025 ·
    Xinyu Li
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  33. UNIC-Adapter: Unified Image-instruction Adapter with Multi-modal Transformer for Image Generation
    CVPR 2025 ·
    Lunhao Duan
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  34. A Variational Framework for Estimating Continuous Treatment Effects with Measurement Error
    ICLR 2024 ·
    Erdun Gao
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  35. Discovery of the Hidden World with Large Language Models
    NeurIPS 2024 ·
    Chenxi Liu
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  36. Enhancing Visual Document Understanding with Contrastive Learning in Large Visual-Language Models
    CVPR 2024 ·
    Xin Li
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  37. Grab What You Need: Rethinking Complex Table Structure Recognition with Flexible Components Deliberation
    AAAI 2024 ·
    Hao Liu
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  38. HuTuMotion: Human-Tuned Navigation of Latent Motion Diffusion Models with Minimal Feedback
    AAAI 2024 ·
    Gaoge Han
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  39. Identifiability Analysis of Linear ODE Systems with Hidden Confounders
    NeurIPS 2024 ·
    Yuanyuan Wang
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  40. Identifiable Latent Polynomial Causal Models through the Lens of Change
    ICLR 2024 ·
    Yuhang Liu
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  41. Improving Non-Transferable Representation Learning by Harnessing Content and Style
    ICLR 2024 ·
    Ziming Hong
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  42. In-N-Out: Lifting 2D Diffusion Prior for 3D Object Removal via Tuning-Free Latents Alignment
    NeurIPS 2024 ·
    Dongting Hu
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  43. Interventional Fairness on Partially Known Causal Graphs: A Constrained Optimization Approach
    ICLR 2024 ·
    Aoqi Zuo
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  44. Neural Collapse Inspired Feature Alignment for Out-of-Distribution Generalization
    NeurIPS 2024 ·
    Zhikang Chen
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  45. On the Recoverability of Causal Relations from Temporally Aggregated I.I.D. Data
    ICML 2024 ·
    Shunxing Fan
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  46. Optimal Kernel Choice for Score Function-based Causal Discovery
    ICML 2024 ·
    Wenjie Wang
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  47. Part-Aware Unified Representation of Language and Skeleton for Zero-Shot Action Recognition
    CVPR 2024 ·
    Anqi Zhu
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  48. Physics-Informed Knowledge Transfer for Underwater Monocular Depth Estimation
    ECCV 2024 ·
    Jinghe Yang
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  49. Self-Distilled Disentangled Learning for Counterfactual Prediction
    SIGKDD 2024 ·
    Xinshu Li
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