Mingming Gong
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
106
Venues
24
Active years
2010–2026
Best venue rank
A*
Where they publish
- A*ICLR17 papers
- A*ICML17 papers
- A*CVPR16 papers
- A*AAAI9 papers
- A*ICCV8 papers
- A*ECCV8 papers
- A*ACL3 papers
- A*KDD3 papers
- AUAI3 papers
- AWACV3 papers
- A*IJCAI3 papers
- AMICCAI3 papers
- AAISTATS2 papers
- A*EMNLP1 paper
- MulticonferenceICASSP1 paper
- AustralasianADC1 paper
- A*ICRA1 paper
- A*SIGIR1 paper
- BICONIP1 paper
- CIGARSS1 paper
- BACCV1 paper
- BICPR1 paper
- CCIS1 paper
- NationalICMLC1 paper
Papers
106 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | Text Embedding as Treatment: A Meta Causal Approach for Robust Sentiment Classification. | Fengxiang Cheng, Chuan Zhou, Xiang Li, Haoxuan Li, Wen-li Wang, Jinkun Chen, Mingming Gong, Kun Zhang |
| 2026 | ACL | Scaling Beyond Context: A Survey of Multimodal Retrieval-Augmented Generation for Document Understanding. | Sensen Gao, Shanshan Zhao, Xu Jiang, Lunhao Duan, Yong Xien Chng, Qing-Guo Chen, Weihua Luo, Kaifu Zhang, Jia-Wang Bian, Mingming Gong |
| 2026 | ACL | FACT-E: Causality-Inspired Evaluation for Trustworthy Chain-of-Thought Reasoning. | Yuxi Sun, Aoqi Zuo, Haotian Xie, Wei Gao, Mingming Gong, Jing Ma |
| 2025 | AAAI | DIDiffGes: Decoupled Semi-Implicit Diffusion Models for Real-time Gesture Generation from Speech. | Yongkang Cheng, Shaoli Huang, Xuelin Chen, Jifeng Ning, Mingming Gong |
| 2025 | CVPR | SnapGen: Taming High-Resolution Text-to-Image Models for Mobile Devices with Efficient Architectures and Training. | Jierun Chen, Dongting Hu, Xijie Huang, Huseyin Coskun, Arpit Sahni, Aarush Gupta, Anujraaj Goyal, Dishani Lahiri, Rajesh Singh, Yerlan Idelbayev, Junli Cao, Yanyu Li, Kwang-Ting Cheng, S.-H. Gary Chan, Mingming Gong, Sergey Tulyakov, Anil Kag, Yanwu Xu, Jian Ren |
| 2025 | CVPR | UNIC-Adapter: Unified Image-instruction Adapter with Multi-modal Transformer for Image Generation. | Lunhao Duan, Shanshan Zhao, Wenjun Yan, Yinglun Li, Qing-Guo Chen, Zhao Xu, Weihua Luo, Kaifu Zhang, Mingming Gong, Gui-Song Xia |
| 2025 | CVPR | LaVin-DiT: Large Vision Diffusion Transformer. | Zhaoqing Wang, Xiaobo Xia, Runnan Chen, Dongdong Yu, Changhu Wang, Mingming Gong, Tongliang Liu |
| 2025 | CVPR | Semantic-guided Cross-Modal Prompt Learning for Skeleton-based Zero-shot Action Recognition. | Anqi Zhu, Jingmin Zhu, James Bailey, Mingming Gong, Qiuhong Ke |
| 2025 | EMNLP | Mitigating Spurious Correlations via Counterfactual Contrastive Learning. | Fengxiang Cheng, Chuan Zhou, Xiang Li, Alina Leidinger, Haoxuan Li, Mingming Gong, Fenrong Liu, Robert van Rooij |
| 2025 | ICCV | OpenInsGaussian: Open-Vocabulary Instance Gaussian Segmentation with Context-Aware Cross-View Fusion. | Tianyu Huang, Runnan Chen, Dongting Hu, Fengming Huang, Mingming Gong, Tongliang Liu |
| 2025 | ICCV | MFT-VITON: High-Fidelity Virtual Try-On with Minimal Input via a Mask-Free Transformer-Diffusion Model. | Zhenchen Wan, Yanwu Xu, Dongting Hu, Weilun Cheng, Tianxi Chen, Zhaoqing Wang, Feng Liu, Tongliang Liu, Mingming Gong |
| 2025 | ICLR | On the Identification of Temporal Causal Representation with Instantaneous Dependence. | Zijian Li, Yifan Shen, Kaitao Zheng, Ruichu Cai, Xiangchen Song, Mingming Gong, Guangyi Chen, Kun Zhang |
| 2025 | ICLR | Analytic DAG Constraints for Differentiable DAG Learning. | Zhen Zhang, Ignavier Ng, Dong Gong, Yuhang Liu, Mingming Gong, Biwei Huang, Kun Zhang, Anton van den Hengel, Javen Qinfeng Shi |
| 2025 | ICLR | LoCA: Location-Aware Cosine Adaptation for Parameter-Efficient Fine-Tuning. | Zhekai Du, Yinjie Min, Jingjing Li, Ke Lu, Changliang Zou, Liuhua Peng, Tingjin Chu, Mingming Gong |
| 2025 | ICLR | A Skewness-Based Criterion for Addressing Heteroscedastic Noise in Causal Discovery. | Yingyu Lin, Yuxing Huang, Wenqin Liu, Haoran Deng, Ignavier Ng, Kun Zhang, Mingming Gong, Yian Ma, Biwei Huang |
| 2025 | ICLR | Optimal Transport for Time Series Imputation. | Hao Wang, Zhengnan Li, Haoxuan Li, Xu Chen, Mingming Gong, BinChen, Zhichao Chen |
| 2025 | ICLR | A Robust Method to Discover Causal or Anticausal Relation. | Yu Yao, Yang Zhou, Bo Han, Mingming Gong, Kun Zhang, Tongliang Liu |
| 2025 | ICML | Learning Imbalanced Data with Beneficial Label Noise. | Guangzheng Hu, Feng Liu, Mingming Gong, Guanghui Wang, Liuhua Peng |
| 2025 | ICML | MissScore: High-Order Score Estimation in the Presence of Missing Data. | Wenqin Liu, Haoze Hou, Erdun Gao, Biwei Huang, Qiuhong Ke, Howard D. Bondell, Mingming Gong |
| 2025 | ICML | Extracting Rare Dependence Patterns via Adaptive Sample Reweighting. | Yiqing Li, Yewei Xia, Xiaofei Wang, Zhengming Chen, Liuhua Peng, Mingming Gong, Kun Zhang |
| 2025 | ICML | Projection Pursuit Density Ratio Estimation. | Meilin Wang, Wei Huang, Mingming Gong, Zheng Zhang |
| 2025 | ICML | Enhancing Treatment Effect Estimation via Active Learning: A Counterfactual Covering Perspective. | Hechuan Wen, Tong Chen, Mingming Gong, Li Kheng Chai, Shazia Sadiq, Hongzhi Yin |
| 2025 | KDD | A Two-Stage Pretraining-Finetuning Framework for Treatment Effect Estimation with Unmeasured Confounding. | Chuan Zhou, Yaxuan Li, Chunyuan Zheng, Haiteng Zhang, Min Zhang, Haoxuan Li, Mingming Gong |
| 2025 | UAI | A Unified Data Representation Learning for Non-parametric Two-sample Testing. | Xunye Tian, Liuhua Peng, Zhijian Zhou, Mingming Gong, Arthur Gretton, Feng Liu |
| 2024 | AAAI | HuTuMotion: Human-Tuned Navigation of Latent Motion Diffusion Models with Minimal Feedback. | Gaoge Han, Shaoli Huang, Mingming Gong, Jinglei Tang |
| 2024 | AAAI | Grab What You Need: Rethinking Complex Table Structure Recognition with Flexible Components Deliberation. | Hao Liu, Xin Li, Mingming Gong, Bing Liu, Yunfei Wu, Deqiang Jiang, Yinsong Liu, Xing Sun |
| 2024 | CVPR | Enhancing Visual Document Understanding with Contrastive Learning in Large Visual-Language Models. | Xin Li, Yunfei Wu, Xinghua Jiang, Zhihao Guo, Mingming Gong, Haoyu Cao, Yinsong Liu, Deqiang Jiang, Xing Sun |
| 2024 | CVPR | Part-Aware Unified Representation of Language and Skeleton for Zero-Shot Action Recognition. | Anqi Zhu, Qiuhong Ke, Mingming Gong, James Bailey |
| 2024 | ECCV | Physics-Informed Knowledge Transfer for Underwater Monocular Depth Estimation. | Jinghe Yang, Mingming Gong, Ye Pu |
| 2024 | ICASSP | FreeTalker: Controllable Speech and Text-Driven Gesture Generation Based on Diffusion Models for Enhanced Speaker Naturalness. | Sicheng Yang, Zunnan Xu, Haiwei Xue, Yongkang Cheng, Shaoli Huang, Mingming Gong, Zhiyong Wu |
| 2024 | ICLR | A Variational Framework for Estimating Continuous Treatment Effects with Measurement Error. | Erdun Gao, Howard D. Bondell, Wei Huang, Mingming Gong |
| 2024 | ICLR | Improving Non-Transferable Representation Learning by Harnessing Content and Style. | Ziming Hong, Zhenyi Wang, Li Shen, Yu Yao, Zhuo Huang, Shiming Chen, Chuanwu Yang, Mingming Gong, Tongliang Liu |
| 2024 | ICLR | Identifiable Latent Polynomial Causal Models through the Lens of Change. | Yuhang Liu, Zhen Zhang, Dong Gong, Mingming Gong, Biwei Huang, Anton van den Hengel, Kun Zhang, Javen Qinfeng Shi |
| 2024 | ICLR | Interventional Fairness on Partially Known Causal Graphs: A Constrained Optimization Approach. | Aoqi Zuo, Yiqing Li, Susan Wei, Mingming Gong |
| 2024 | ICML | On the Recoverability of Causal Relations from Temporally Aggregated I.I.D. Data. | Shunxing Fan, Mingming Gong, Kun Zhang |
| 2024 | ICML | Optimal Kernel Choice for Score Function-based Causal Discovery. | Wenjie Wang, Biwei Huang, Feng Liu, Xinge You, Tongliang Liu, Kun Zhang, Mingming Gong |
| 2024 | KDD | Self-Distilled Disentangled Learning for Counterfactual Prediction. | Xinshu Li, Mingming Gong, Lina Yao |
| 2024 | WACV | Learning Transferable Representations for Image Anomaly Localization Using Dense Pretraining. | Haitian He, Sarah M. Erfani, Mingming Gong, Qiuhong Ke |
| 2023 | ADC | Enhancing Night-to-Day Image Translation with Semantic Prior and Reference Image Guidance. | Junzhi Ning, Mingming Gong |
| 2023 | CVPR | Unpaired Image-to-Image Translation with Shortest Path Regularization. | Shaoan Xie, Yanwu Xu, Mingming Gong, Kun Zhang |
| 2023 | ICCV | Generating Dynamic Kernels via Transformers for Lane Detection. | Ziye Chen, Yu Liu, Mingming Gong, Bo Du, Guoqi Qian, Kate Smith-Miles |
| 2023 | ICCV | Multiscale Representation for Real-Time Anti-Aliasing Neural Rendering. | Dongting Hu, Zhenkai Zhang, Tingbo Hou, Tongliang Liu, Huan Fu, Mingming Gong |
| 2023 | ICCV | Combating Noisy Labels with Sample Selection by Mining High-Discrepancy Examples. | Xiaobo Xia, Bo Han, Yibing Zhan, Jun Yu, Mingming Gong, Chen Gong, Tongliang Liu |
| 2023 | ICLR | Harnessing Out-Of-Distribution Examples via Augmenting Content and Style. | Zhuo Huang, Xiaobo Xia, Li Shen, Bo Han, Mingming Gong, Chen Gong, Tongliang Liu |
| 2023 | ICLR | Mosaic Representation Learning for Self-supervised Visual Pre-training. | Zhaoqing Wang, Ziyu Chen, Yaqian Li, Yandong Guo, Jun Yu, Mingming Gong, Tongliang Liu |
| 2023 | ICLR | Multi-domain image generation and translation with identifiability guarantees. | Shaoan Xie, Lingjing Kong, Mingming Gong, Kun Zhang |
| 2023 | ICML | Diversity-enhancing Generative Network for Few-shot Hypothesis Adaptation. | Ruijiang Dong, Feng Liu, Haoang Chi, Tongliang Liu, Mingming Gong, Gang Niu, Masashi Sugiyama, Bo Han |
| 2023 | ICML | Which is Better for Learning with Noisy Labels: The Semi-supervised Method or Modeling Label Noise? | Yu Yao, Mingming Gong, Yuxuan Du, Jun Yu, Bo Han, Kun Zhang, Tongliang Liu |
| 2023 | ICRA | Knowledge Distillation for Feature Extraction in Underwater VSLAM. | Jinghe Yang, Mingming Gong, Girish Nair, Jung Hoon Lee, Jason Monty, Ye Pu |
| 2023 | WACV | Progressive Video Summarization via Multimodal Self-supervised Learning. | Haopeng Li, Qiuhong Ke, Mingming Gong, Tom Drummond |
| 2023 | WACV | Adaptive Local-Component-aware Graph Convolutional Network for One-shot Skeleton-based Action Recognition. | Anqi Zhu, Qiuhong Ke, Mingming Gong, James Bailey |
| 2022 | CVPR | Maximum Spatial Perturbation Consistency for Unpaired Image-to-Image Translation. | Yanwu Xu, Shaoan Xie, Wenhao Wu, Kun Zhang, Mingming Gong, Kayhan Batmanghelich |
| 2022 | CVPR | Alleviating Semantics Distortion in Unsupervised Low-Level Image-to-Image Translation via Structure Consistency Constraint. | Jiaxian Guo, Jiachen Li, Huan Fu, Mingming Gong, Kun Zhang, Dacheng Tao |
| 2022 | CVPR | Few-Shot Font Generation by Learning Fine-Grained Local Styles. | Licheng Tang, Yiyang Cai, Jiaming Liu, Zhibin Hong, Mingming Gong, Minhu Fan, Junyu Han, Jingtuo Liu, Errui Ding, Jingdong Wang |
| 2022 | CVPR | CRIS: CLIP-Driven Referring Image Segmentation. | Zhaoqing Wang, Yu Lu, Qiang Li, Xunqiang Tao, Yandong Guo, Mingming Gong, Tongliang Liu |
| 2022 | CVPR | Exploring Set Similarity for Dense Self-supervised Representation Learning. | Zhaoqing Wang, Qiang Li, Guoxin Zhang, Pengfei Wan, Wen Zheng, Nannan Wang, Mingming Gong, Tongliang Liu |
| 2022 | ECCV | Uncertainty Quantification in Depth Estimation via Constrained Ordinal Regression. | Dongting Hu, Liuhua Peng, Tingjin Chu, Xiaoxing Zhang, Yinian Mao, Howard D. Bondell, Mingming Gong |
| 2022 | ECCV | Digging into Radiance Grid for Real-Time View Synthesis with Detail Preservation. | Jian Zhang, Jinchi Huang, Bowen Cai, Huan Fu, Mingming Gong, Chaohui Wang, Jiaming Wang, Hongchen Luo, Rongfei Jia, Binqiang Zhao, Xing Tang |
| 2022 | ICLR | A Relational Intervention Approach for Unsupervised Dynamics Generalization in Model-Based Reinforcement Learning. | Jiaxian Guo, Mingming Gong, Dacheng Tao |
| 2022 | ICLR | Sample Selection with Uncertainty of Losses for Learning with Noisy Labels. | Xiaobo Xia, Tongliang Liu, Bo Han, Mingming Gong, Jun Yu, Gang Niu, Masashi Sugiyama |
| 2022 | ICLR | Rethinking Class-Prior Estimation for Positive-Unlabeled Learning. | Yu Yao, Tongliang Liu, Bo Han, Mingming Gong, Gang Niu, Masashi Sugiyama, Dacheng Tao |
| 2022 | ICLR | Adversarial Robustness Through the Lens of Causality. | Yonggang Zhang, Mingming Gong, Tongliang Liu, Gang Niu, Xinmei Tian, Bo Han, Bernhard Schlkopf, Kun Zhang |
| 2022 | ICML | Understanding Robust Overfitting of Adversarial Training and Beyond. | Chaojian Yu, Bo Han, Li Shen, Jun Yu, Chen Gong, Mingming Gong, Tongliang Liu |
| 2022 | IJCAI | Robust Weight Perturbation for Adversarial Training. | Chaojian Yu, Bo Han, Mingming Gong, Li Shen, Shiming Ge, Bo Du, Tongliang Liu |
| 2022 | KDD | Sample-Efficient Kernel Mean Estimator with Marginalized Corrupted Data. | Xiaobo Xia, Shuo Shan, Mingming Gong, Nannan Wang, Fei Gao, Haikun Wei, Tongliang Liu |
| 2022 | MICCAI | Adversarial Consistency for Single Domain Generalization in Medical Image Segmentation. | Yanwu Xu, Shaoan Xie, Maxwell Reynolds, Matthew Ragoza, Mingming Gong, Kayhan Batmanghelich |
| 2022 | SIGIR | MP2: A Momentum Contrast Approach for Recommendation with Pointwise and Pairwise Learning. | Menghan Wang, Yuchen Guo, Zhenqi Zhao, Guangzheng Hu, Yuming Shen, Mingming Gong, Philip H. S. Torr |
| 2021 | AAAI | Learning with Group Noise. | Qizhou Wang, Jiangchao Yao, Chen Gong, Tongliang Liu, Mingming Gong, Hongxia Yang, Bo Han |
| 2021 | ICCV | Not All Operations Contribute Equally: Hierarchical Operation-adaptive Predictor for Neural Architecture Search. | Ziye Chen, Yibing Zhan, Baosheng Yu, Mingming Gong, Bo Du |
| 2021 | ICCV | Unaligned Image-to-Image Translation by Learning to Reweight. | Shaoan Xie, Mingming Gong, Yanwu Xu, Kun Zhang |
| 2021 | ICML | Class2Simi: A Noise Reduction Perspective on Learning with Noisy Labels. | Songhua Wu, Xiaobo Xia, Tongliang Liu, Bo Han, Mingming Gong, Nannan Wang, Haifeng Liu, Gang Niu |
| 2021 | ICONIP | Disentangled Feature Network for Fine-Grained Recognition. | Shuyu Miao, Shuaicheng Li, Lin Zheng, Wei Yu, Jingjing Liu, Mingming Gong, Rui Feng |
| 2021 | IGARSS | Vecnet: A Spectral and Multi-Scale Spatial Fusion Deep Network for Pixel-Level Cloud Type Classification in Himawari-8 Imagery. | Zhaoqing Wang, Xiangyu Kong, Zhanbei Cui, Ming Wu, Chuang Zhang, Mingming Gong, Tongliang Liu |
| 2020 | AAAI | Compressed Self-Attention for Deep Metric Learning. | Ziye Chen, Mingming Gong, Yanwu Xu, Chaohui Wang, Kun Zhang, Bo Du |
| 2020 | AAAI | Causal Discovery from Multiple Data Sets with Non-Identical Variable Sets. | Biwei Huang, Kun Zhang, Mingming Gong, Clark Glymour |
| 2020 | AAAI | Generative-Discriminative Complementary Learning. | Yanwu Xu, Mingming Gong, Junxiang Chen, Tongliang Liu, Kun Zhang, Kayhan Batmanghelich |
| 2020 | ECCV | Sub-center ArcFace: Boosting Face Recognition by Large-Scale Noisy Web Faces. | Jiankang Deng, Jia Guo, Tongliang Liu, Mingming Gong, Stefanos Zafeiriou |
| 2020 | ECCV | Short-Term and Long-Term Context Aggregation Network for Video Inpainting. | Ang Li, Shanshan Zhao, Xingjun Ma, Mingming Gong, Jianzhong Qi, Rui Zhang, Dacheng Tao, Ramamohanarao Kotagiri |
| 2020 | ICML | LTF: A Label Transformation Framework for Correcting Label Shift. | Jiaxian Guo, Mingming Gong, Tongliang Liu, Kun Zhang, Dacheng Tao |
| 2020 | ICML | Label-Noise Robust Domain Adaptation. | Xiyu Yu, Tongliang Liu, Mingming Gong, Kun Zhang, Kayhan Batmanghelich, Dacheng Tao |
| 2020 | IJCAI | Compressed Self-Attention for Deep Metric Learning with Low-Rank Approximation. | Ziye Chen, Mingming Gong, Lingjuan Ge, Bo Du |
| 2020 | IJCAI | Bridging Causality and Learning: How Do They Benefit from Each Other? | Mingming Gong |
| 2019 | AISTATS | Low-Dimensional Density Ratio Estimation for Covariate Shift Correction. | Petar Stojanov, Mingming Gong, Jaime G. Carbonell, Kun Zhang |
| 2019 | AISTATS | Data-Driven Approach to Multiple-Source Domain Adaptation. | Petar Stojanov, Mingming Gong, Jaime G. Carbonell, Kun Zhang |
| 2019 | CVPR | Geometry-Consistent Generative Adversarial Networks for One-Sided Unsupervised Domain Mapping. | Huan Fu, Mingming Gong, Chaohui Wang, Kayhan Batmanghelich, Kun Zhang, Dacheng Tao |
| 2019 | CVPR | Geometry-Aware Symmetric Domain Adaptation for Monocular Depth Estimation. | Shanshan Zhao, Huan Fu, Mingming Gong, Dacheng Tao |
| 2019 | ICML | Causal Discovery and Forecasting in Nonstationary Environments with State-Space Models. | Biwei Huang, Kun Zhang, Mingming Gong, Clark Glymour |
| 2018 | AAAI | Domain Generalization via Conditional Invariant Representations. | Ya Li, Mingming Gong, Xinmei Tian, Tongliang Liu, Dacheng Tao |
| 2018 | ACCV | Robust Angular Local Descriptor Learning. | Yanwu Xu, Mingming Gong, Tongliang Liu, Kayhan Batmanghelich, Chaohui Wang |
| 2018 | CVPR | Deep Ordinal Regression Network for Monocular Depth Estimation. | Huan Fu, Mingming Gong, Chaohui Wang, Kayhan Batmanghelich, Dacheng Tao |
| 2018 | CVPR | An Efficient and Provable Approach for Mixture Proportion Estimation Using Linear Independence Assumption. | Xiyu Yu, Tongliang Liu, Mingming Gong, Kayhan Batmanghelich, Dacheng Tao |
| 2018 | ECCV | Deep Domain Generalization via Conditional Invariant Adversarial Networks. | Ya Li, Xinmei Tian, Mingming Gong, Yajing Liu, Tongliang Liu, Kun Zhang, Dacheng Tao |
| 2018 | ECCV | Correcting the Triplet Selection Bias for Triplet Loss. | Baosheng Yu, Tongliang Liu, Mingming Gong, Changxing Ding, Dacheng Tao |
| 2018 | ECCV | Learning with Biased Complementary Labels. | Xiyu Yu, Tongliang Liu, Mingming Gong, Dacheng Tao |
| 2018 | MICCAI | Subject2Vec: Generative-Discriminative Approach from a Set of Image Patches to a Vector. | Sumedha Singla, Mingming Gong, Siamak Ravanbakhsh, Frank C. Sciurba, Barnabs Pczos, Kayhan N. Batmanghelich |
| 2018 | MICCAI | Multi-scale Masked 3-D U-Net for Brain Tumor Segmentation. | Yanwu Xu, Mingming Gong, Huan Fu, Dacheng Tao, Kun Zhang, Kayhan Batmanghelich |
| 2018 | UAI | Causal Discovery with Linear Non-Gaussian Models under Measurement Error: Structural Identifiability Results. | Kun Zhang, Mingming Gong, Joseph D. Ramsey, Kayhan Batmanghelich, Peter Spirtes, Clark Glymour |
| 2017 | ICCV | A Coarse-Fine Network for Keypoint Localization. | Shaoli Huang, Mingming Gong, Dacheng Tao |
| 2017 | UAI | Causal Discovery from Temporally Aggregated Time Series. | Mingming Gong, Kun Zhang, Bernhard Schlkopf, Clark Glymour, Dacheng Tao |
| 2016 | ICML | Domain Adaptation with Conditional Transferable Components. | Mingming Gong, Kun Zhang, Tongliang Liu, Dacheng Tao, Clark Glymour, Bernhard Schlkopf |
| 2015 | AAAI | Multi-Source Domain Adaptation: A Causal View. | Kun Zhang, Mingming Gong, Bernhard Schlkopf |
| 2015 | ICML | Causal Inference by Identification of Vector Autoregressive Processes with Hidden Components. | Philipp Geiger, Kun Zhang, Bernhard Schlkopf, Mingming Gong, Dominik Janzing |
| 2015 | ICML | Discovering Temporal Causal Relations from Subsampled Data. | Mingming Gong, Kun Zhang, Bernhard Schlkopf, Dacheng Tao, Philipp Geiger |
| 2012 | ICPR | Structured sparse coding for image representation based on L1-graph. | Weihua Ou, Xinge You, Yiu-ming Cheung, Qinmu Peng, Mingming Gong, Xiubao Jiang |
| 2011 | CIS | Clustering Based Image Denoising Using SURE-LET. | Wu Zeng, Long Zhou, Xiubao Jiang, Xinge You, Mingming Gong |
| 2010 | ICMLC | Long digital straight segments for fingerprint matching. | Xiubao Jiang, Long Zhou, Mingming Gong, Xinge You |