← Authors

Mingming Gong

109 papers · 2015–2025 · 14 conferences · across top CS/AI conferences

Achievements

🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🐝 Cross-Pollinator (8) πŸƒ Academic Marathon (10) 🌍 Conference Polyglot (14) 🌈 Renaissance Researcher (6) πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (18) 🏠 Conference Loyalist (23) πŸ† Keyword Champion (2) πŸ‘‘ Triple Crown πŸ† Grand Slam πŸ”¬ Deep Specialist (20) 🀝 Dynamic Duo (43) πŸš€ Conference Pioneer ⚑ Prolific Year (16) πŸ”₯ Unstoppable (11) ❓ The Questioner (3) πŸ’Ž Century Club (109) πŸ—ƒοΈ Keyword Collector (51) πŸ“ˆ Trend Setter

Conferences

NIPS (23) ICLR (17) ICML (17) CVPR (16) ECCV (8) AAAI (7) ICCV (6) IJCAI (3) JMLR (3) WACV (3) AISTATS (2) CLEAR (2) EMNLP (1) UAI (1)

Top co-authors

Kun Zhang (43) Tongliang Liu (39) Dacheng Tao (22) Bo Han (18) Biwei Huang (14) Huan Fu (9) Gang Niu (9) Kayhan Batmanghelich (8) Yanwu Xu (8) Yu Yao (7)

Keywords

domain adaptation (12) causal discovery (12) causal inference (11) label noise (9) representation learning (7) contrastive learning (5) distribution shift (5) noisy label (5) generative adversarial network (5) generative model (5) unsupervised learning (5) semi-supervised learning (4) diffusion model (4) noisy label learning (4) image-to-image translation (4) directed acyclic graph (4) conditional distribution (3) self-supervised learning (3) few-shot learning (3) adversarial training (3)

Papers

DIDiffGes: Decoupled Semi-Implicit Diffusion Models for Real-time Gesture Generation from Speech AAAI 2025
Projection Pursuit Density Ratio Estimation ICML 2025
Mitigating Spurious Correlations via Counterfactual Contrastive Learning EMNLP 2025
Optimal Transport for Time Series Imputation ICLR 2025
SnapGen: Taming High-Resolution Text-to-Image Models for Mobile Devices with Efficient Architectures and Training CVPR 2025
Extracting Rare Dependence Patterns via Adaptive Sample Reweighting ICML 2025
Learning Imbalanced Data with Beneficial Label Noise ICML 2025
UNIC-Adapter: Unified Image-instruction Adapter with Multi-modal Transformer for Image Generation CVPR 2025
Semantic-guided Cross-Modal Prompt Learning for Skeleton-based Zero-shot Action Recognition CVPR 2025
LaVin-DiT: Large Vision Diffusion Transformer CVPR 2025
Enhancing Treatment Effect Estimation via Active Learning: A Counterfactual Covering Perspective ICML 2025
MissScore: High-Order Score Estimation in the Presence of Missing Data ICML 2025
A Skewness-Based Criterion for Addressing Heteroscedastic Noise in Causal Discovery ICLR 2025
A Robust Method to Discover Causal or Anticausal Relation ICLR 2025
Analytic DAG Constraints for Differentiable DAG Learning ICLR 2025
On the Identification of Temporal Causal Representation with Instantaneous Dependence ICLR 2025
LoCA: Location-Aware Cosine Adaptation for Parameter-Efficient Fine-Tuning ICLR 2025
A Unified Data Representation Learning for Non-parametric Two-sample Testing UAI 2025
Causal Discovery with Mixed Linear and Nonlinear Additive Noise Models: A Scalable Approach CLEAR 2024
Physics-informed Knowledge Transfer for Underwater Monocular Depth Estimation ECCV 2024
Learning Transferable Representations for Image Anomaly Localization Using Dense Pretraining WACV 2024
In-N-Out: Lifting 2D Diffusion Prior for 3D Object Removal via Tuning-Free Latents Alignment NIPS 2024
Identifiability Analysis of Linear ODE Systems with Hidden Confounders NIPS 2024
Neural Collapse Inspired Feature Alignment for Out-of-Distribution Generalization NIPS 2024
Discovery of the Hidden World with Large Language Models NIPS 2024
Optimal Kernel Choice for Score Function-based Causal Discovery ICML 2024
On the Recoverability of Causal Relations from Temporally Aggregated I.I.D. Data ICML 2024
HuTuMotion: Human-Tuned Navigation of Latent Motion Diffusion Models with Minimal Feedback AAAI 2024
Grab What You Need: Rethinking Complex Table Structure Recognition with Flexible Components Deliberation AAAI 2024
Improving Non-Transferable Representation Learning by Harnessing Content and Style ICLR 2024
On Causality in Domain Adaptation and Semi-Supervised Learning: an Information-Theoretic Analysis for Parametric Models JMLR 2024
Identifiability and Asymptotics in Learning Homogeneous Linear ODE Systems from Discrete Observations JMLR 2024
Causal-learn: Causal Discovery in Python JMLR 2024
Part-aware Unified Representation of Language and Skeleton for Zero-shot Action Recognition CVPR 2024
Enhancing Visual Document Understanding with Contrastive Learning in Large Visual-Language Models CVPR 2024
Interventional Fairness on Partially Known Causal Graphs: A Constrained Optimization Approach ICLR 2024
A Variational Framework for Estimating Continuous Treatment Effects with Measurement Error ICLR 2024
Identifiable Latent Polynomial Causal Models through the Lens of Change ICLR 2024
Multiscale Representation for Real-Time Anti-Aliasing Neural Rendering ICCV 2023
Generating Dynamic Kernels via Transformers for Lane Detection ICCV 2023
Harnessing Out-Of-Distribution Examples via Augmenting Content and Style ICLR 2023
Adaptive Local-Component-Aware Graph Convolutional Network for One-Shot Skeleton-Based Action Recognition WACV 2023
Combating Noisy Labels with Sample Selection by Mining High-Discrepancy Examples ICCV 2023
Unpaired Image-to-Image Translation With Shortest Path Regularization CVPR 2023
Mosaic Representation Learning for Self-supervised Visual Pre-training ICLR 2023
Generator Identification for Linear SDEs with Additive and Multiplicative Noise NIPS 2023
Which is Better for Learning with Noisy Labels: The Semi-supervised Method or Modeling Label Noise? ICML 2023
Diversity-enhancing Generative Network for Few-shot Hypothesis Adaptation ICML 2023
CS-Isolate: Extracting Hard Confident Examples by Content and Style Isolation NIPS 2023
Multi-domain image generation and translation with identifiability guarantees ICLR 2023
Learning World Models with Identifiable Factorization NIPS 2023
ConDaFormer: Disassembled Transformer with Local Structure Enhancement for 3D Point Cloud Understanding NIPS 2023
Semi-Implicit Denoising Diffusion Models (SIDDMs) NIPS 2023
Progressive Video Summarization via Multimodal Self-Supervised Learning WACV 2023
Maximum Spatial Perturbation Consistency for Unpaired Image-to-Image Translation CVPR 2022
Counterfactual Fairness with Partially Known Causal Graph NIPS 2022
MissDAG: Causal Discovery in the Presence of Missing Data with Continuous Additive Noise Models NIPS 2022
Truncated Matrix Power Iteration for Differentiable DAG Learning NIPS 2022
Fair Classification with Instance-dependent Label Noise CLEAR 2022
CRIS: CLIP-Driven Referring Image Segmentation CVPR 2022
Alleviating Semantics Distortion in Unsupervised Low-Level Image-to-Image Translation via Structure Consistency Constraint CVPR 2022
Few-Shot Font Generation by Learning Fine-Grained Local Styles CVPR 2022
Exploring Set Similarity for Dense Self-Supervised Representation Learning CVPR 2022
Uncertainty Quantification in Depth Estimation via Constrained Ordinal Regression ECCV 2022
Digging into Radiance Grid for Real-Time View Synthesis with Detail Preservation ECCV 2022
Sample Selection with Uncertainty of Losses for Learning with Noisy Labels ICLR 2022
Adversarial Robustness Through the Lens of Causality ICLR 2022
A Relational Intervention Approach for Unsupervised Dynamics Generalization in Model-Based Reinforcement Learning ICLR 2022
Rethinking Class-Prior Estimation for Positive-Unlabeled Learning ICLR 2022
Understanding Robust Overfitting of Adversarial Training and Beyond ICML 2022
Robust Weight Perturbation for Adversarial Training IJCAI 2022
Not All Operations Contribute Equally: Hierarchical Operation-Adaptive Predictor for Neural Architecture Search ICCV 2021
Learning with Group Noise AAAI 2021
Domain Adaptation with Invariant Representation Learning: What Transformations to Learn? NIPS 2021
Class2Simi: A Noise Reduction Perspective on Learning with Noisy Labels ICML 2021
Unaligned Image-to-Image Translation by Learning to Reweight ICCV 2021
Instance-dependent Label-noise Learning under a Structural Causal Model NIPS 2021
Short-Term and Long-Term Context Aggregation Network for Video Inpainting ECCV 2020
Part-dependent Label Noise: Towards Instance-dependent Label Noise NIPS 2020
Domain Adaptation as a Problem of Inference on Graphical Models NIPS 2020
Bridging Causality and Learning: How Do They Benefit from Each Other? IJCAI 2020
Compressed Self-Attention for Deep Metric Learning with Low-Rank Approximation IJCAI 2020
Domain Generalization via Entropy Regularization NIPS 2020
LTF: A Label Transformation Framework for Correcting Label Shift ICML 2020
Label-Noise Robust Domain Adaptation ICML 2020
Hard Example Generation by Texture Synthesis for Cross-domain Shape Similarity Learning NIPS 2020
Causal Discovery from Multiple Data Sets with Non-Identical Variable Sets AAAI 2020
Generative-Discriminative Complementary Learning AAAI 2020
Compressed Self-Attention for Deep Metric Learning AAAI 2020
Dual T: Reducing Estimation Error for Transition Matrix in Label-noise Learning NIPS 2020
Sub-center ArcFace: Boosting Face Recognition by Large-scale Noisy Web Faces ECCV 2020
Data-Driven Approach to Multiple-Source Domain Adaptation AISTATS 2019
Geometry-Aware Symmetric Domain Adaptation for Monocular Depth Estimation CVPR 2019
Geometry-Consistent Generative Adversarial Networks for One-Sided Unsupervised Domain Mapping CVPR 2019
Causal Discovery and Forecasting in Nonstationary Environments with State-Space Models ICML 2019
Twin Auxilary Classifiers GAN NIPS 2019
Low-Dimensional Density Ratio Estimation for Covariate Shift Correction AISTATS 2019
Likelihood-Free Overcomplete ICA and Applications In Causal Discovery NIPS 2019
Specific and Shared Causal Relation Modeling and Mechanism-Based Clustering NIPS 2019
Deep Ordinal Regression Network for Monocular Depth Estimation CVPR 2018
Correcting the Triplet Selection Bias for Triplet Loss ECCV 2018
Learning with Biased Complementary Labels ECCV 2018
Deep Domain Generalization via Conditional Invariant Adversarial Networks ECCV 2018
An Efficient and Provable Approach for Mixture Proportion Estimation Using Linear Independence Assumption CVPR 2018
Modeling Dynamic Missingness of Implicit Feedback for Recommendation NIPS 2018
A Coarse-Fine Network for Keypoint Localization ICCV 2017
Domain Adaptation with Conditional Transferable Components ICML 2016
Discovering Temporal Causal Relations from Subsampled Data ICML 2015
Causal Inference by Identification of Vector Autoregressive Processes with Hidden Components ICML 2015