Mingming Gong

ORCID

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 220

Top Venues

Publications

Xin Li, Yunfei Wu, Xinghua Jiang, Zhihao Guo, Mingming Gong, Haoyu Cao, Yinsong Liu, Deqiang Jiang, Xing Sun
Enhancing Visual Document Understanding with Contrastive Learning in Large Visual-Language Models. CoRR (2024)
Renyang Liu, Kwok-Yan Lam, Wei Zhou, Sixing Wu, Jun Zhao, Dongting Hu, Mingming Gong
STBA: Towards Evaluating the Robustness of DNNs for Query-Limited Black-box Scenario. CoRR (2024)
Zijian Li, Yifan Shen, Kaitao Zheng, Ruichu Cai, Xiangchen Song, Mingming Gong, Zhifeng Hao, Zhengmao Zhu, Guangyi Chen, Kun Zhang
On the Identification of Temporally Causal Representation with Instantaneous Dependence. CoRR (2024)
Xiaoli Wei, Zhaoqing Wang, Yandong Guo, Chunxia Zhang, Tongliang Liu, Mingming Gong
Training-Free Robust Interactive Video Object Segmentation. CoRR (2024)
Sicheng Yang, Zunnan Xu, Haiwei Xue, Yongkang Cheng, Shaoli Huang, Mingming Gong, Zhiyong Wu
Freetalker: Controllable Speech and Text-Driven Gesture Generation Based on Diffusion Models for Enhanced Speaker Naturalness. CoRR (2024)
Yuhang Liu, Zhen Zhang, Dong Gong, Mingming Gong, Biwei Huang, Anton van den Hengel, Kun Zhang, Javen Qinfeng Shi
Identifiable Latent Neural Causal Models. CoRR (2024)
Hao Liu, Xin Li, Mingming Gong, Bing Liu, Yunfei Wu, Deqiang Jiang, Yinsong Liu, Xing Sun
Grab What You Need: Rethinking Complex Table Structure Recognition with Flexible Components Deliberation. AAAI (2024)
Wenqin Liu, Biwei Huang, Erdun Gao, Qiuhong Ke, Howard D. Bondell, Mingming Gong
Causal Discovery with Mixed Linear and Nonlinear Additive Noise Models: A Scalable Approach. CLeaR (2024)
Xinshu Li, Mingming Gong, Lina Yao
Self-Distilled Disentangled Learning for Counterfactual Prediction. KDD (2024)
Shunxing Fan, Mingming Gong, Kun Zhang
On the Recoverability of Causal Relations from Temporally Aggregated I.I.D. Data. CoRR (2024)
Gaoge Han, Shaoli Huang, Mingming Gong, Jinglei Tang
HuTuMotion: Human-Tuned Navigation of Latent Motion Diffusion Models with Minimal Feedback. AAAI (2024)
Sicheng Yang, Zunnan Xu, Haiwei Xue, Yongkang Cheng, Shaoli Huang, Mingming Gong, Zhiyong Wu
FreeTalker: Controllable Speech and Text-Driven Gesture Generation Based on Diffusion Models for Enhanced Speaker Naturalness. ICASSP (2024)
Anqi Zhu, Qiuhong Ke, Mingming Gong, James Bailey
Part-aware Unified Representation of Language and Skeleton for Zero-shot Action Recognition. CoRR (2024)
Zexu Huang, Sarah Monazam Erfani, Siying Lu, Mingming Gong
Efficient neural implicit representation for 3D human reconstruction. Pattern Recognit. 156 (2024)
Youfa Liu, Bo Du, Yongyong Chen, Lefei Zhang, Mingming Gong, Dacheng Tao
Convex-Concave Tensor Robust Principal Component Analysis. Int. J. Comput. Vis. 132 (5) (2024)
Yuhang Liu, Zhen Zhang, Dong Gong, Biwei Huang, Mingming Gong, Anton van den Hengel, Kun Zhang, Javen Qinfeng Shi
Revealing Multimodal Contrastive Representation Learning through Latent Partial Causal Models. CoRR (2024)
Zhiyu Wang, Mohammad Goudarzi, Mingming Gong, Rajkumar Buyya
Deep Reinforcement Learning-based scheduling for optimizing system load and response time in edge and fog computing environments. Future Gener. Comput. Syst. 152 (2024)
Chenxi Liu, Yongqiang Chen, Tongliang Liu, Mingming Gong, James Cheng, Bo Han, Kun Zhang
Discovery of the Hidden World with Large Language Models. CoRR (2024)
Xinshu Li, Mingming Gong, Lina Yao
Self-Distilled Disentangled Learning for Counterfactual Prediction. CoRR (2024)
Aoqi Zuo, Yiqing Li, Susan Wei, Mingming Gong
Interventional Fairness on Partially Known Causal Graphs: A Constrained Optimization Approach. ICLR (2024)
Zhaoqing Wang, Xiaobo Xia, Ziye Chen, Xiao He, Yandong Guo, Mingming Gong, Tongliang Liu
Open-Vocabulary Segmentation with Unpaired Mask-Text Supervision. CoRR (2024)
Erdun Gao, Howard D. Bondell, Wei Huang, Mingming Gong
A Variational Framework for Estimating Continuous Treatment Effects with Measurement Error. ICLR (2024)
Jun Chen, Heye Zhang, Mingming Gong, Zhifan Gao
Collaborative compensative transformer network for salient object detection. Pattern Recognit. 154 (2024)
Wentao Tan, Changxing Ding, Pengfei Wang, Mingming Gong, Kui Jia
Style Interleaved Learning for Generalizable Person Re-Identification. IEEE Trans. Multim. 26 (2024)
Ziming Hong, Zhenyi Wang, Li Shen, Yu Yao, Zhuo Huang, Shiming Chen, Chuanwu Yang, Mingming Gong, Tongliang Liu
Improving Non-Transferable Representation Learning by Harnessing Content and Style. ICLR (2024)
Aoqi Zuo, Yiqing Li, Susan Wei, Mingming Gong
Interventional Fairness on Partially Known Causal Graphs: A Constrained Optimization Approach. CoRR (2024)
Haopeng Li, Qiuhong Ke, Mingming Gong, Tom Drummond
Answering from Sure to Uncertain: Uncertainty-Aware Curriculum Learning for Video Question Answering. CoRR (2024)
Haitian He, Sarah M. Erfani, Mingming Gong, Qiuhong Ke
Learning Transferable Representations for Image Anomaly Localization Using Dense Pretraining. WACV (2024)
Ken Chen, Sachith Seneviratne, Wei Wang, Dongting Hu, Sanjay Saha, Md. Tarek Hasan, Sanka Rasnayaka, Tamasha Malepathirana, Mingming Gong, Saman K. Halgamuge
AniFaceDiff: High-Fidelity Face Reenactment via Facial Parametric Conditioned Diffusion Models. CoRR (2024)
Yuhang Liu, Zhen Zhang, Dong Gong, Mingming Gong, Biwei Huang, Anton van den Hengel, Kun Zhang, Javen Qinfeng Shi
Identifiable Latent Polynomial Causal Models through the Lens of Change. ICLR (2024)
Wenjie Wang, Biwei Huang, Feng Liu, Xinge You, Tongliang Liu, Kun Zhang, Mingming Gong
Optimal Kernel Choice for Score Function-based Causal Discovery. CoRR (2024)
Bowen Cai, Yujie Li, Yuqin Liang, Rongfei Jia, Binqiang Zhao, Mingming Gong, Huan Fu
3D Scene Creation and Rendering via Rough Meshes: A Lighting Transfer Avenue. IEEE Trans. Pattern Anal. Mach. Intell. 46 (9) (2024)
Junkun Yuan, Xu Ma, Ruoxuan Xiong, Mingming Gong, Xiangyu Liu, Fei Wu, Lanfen Lin, Kun Kuang
Instrumental Variable-Driven Domain Generalization with Unobserved Confounders. ACM Trans. Knowl. Discov. Data 17 (8) (2023)
Ruijiang Dong, Feng Liu, Haoang Chi, Tongliang Liu, Mingming Gong, Gang Niu, Masashi Sugiyama, Bo Han
Diversity-enhancing Generative Network for Few-shot Hypothesis Adaptation. CoRR (2023)
Susan Wei, Daniel Murfet, Mingming Gong, Hui Li, Jesse Gell-Redman, Thomas Quella
Deep Learning Is Singular, and That's Good. IEEE Trans. Neural Networks Learn. Syst. 34 (12) (2023)
Yuren Liu, Biwei Huang, Zhengmao Zhu, Hong-Long Tian, Mingming Gong, Yang Yu, Kun Zhang
Learning World Models with Identifiable Factorization. NeurIPS (2023)
Pengfei Wang, Changxing Ding, Wentao Tan, Mingming Gong, Kui Jia, Dacheng Tao
Uncertainty-Aware Clustering for Unsupervised Domain Adaptive Object Re-Identification. IEEE Trans. Multim. 25 (2023)
Zhuo Huang, Xiaobo Xia, Li Shen, Bo Han, Mingming Gong, Chen Gong, Tongliang Liu
Harnessing Out-Of-Distribution Examples via Augmenting Content and Style. ICLR (2023)
Yanwu Xu, Mingming Gong, Shaoan Xie, Wei Wei, Matthias Grundmann, Kayhan Batmanghelich, Tingbo Hou
Semi-Implicit Denoising Diffusion Models (SIDDMs). NeurIPS (2023)
Yuhang Liu, Zhen Zhang, Dong Gong, Mingming Gong, Biwei Huang, Anton van den Hengel, Kun Zhang, Javen Qinfeng Shi
Identifiable Latent Polynomial Causal Models Through the Lens of Change. CoRR (2023)
Shaoan Xie, Lingjing Kong, Mingming Gong, Kun Zhang
Multi-domain image generation and translation with identifiability guarantees. ICLR (2023)
Ruijiang Dong, Feng Liu, Haoang Chi, Tongliang Liu, Mingming Gong, Gang Niu, Masashi Sugiyama, Bo Han
Diversity-enhancing Generative Network for Few-shot Hypothesis Adaptation. ICML (2023)
Gaoge Han, Shaoli Huang, Mingming Gong, Jinglei Tang
HuTuMotion: Human-Tuned Navigation of Latent Motion Diffusion Models with Minimal Feedback. CoRR (2023)
Lunhao Duan, Shanshan Zhao, Nan Xue, Mingming Gong, Gui-Song Xia, Dacheng Tao
ConDaFormer: Disassembled Transformer with Local Structure Enhancement for 3D Point Cloud Understanding. CoRR (2023)
Xiaobo Xia, Bo Han, Yibing Zhan, Jun Yu, Mingming Gong, Chen Gong, Tongliang Liu
Combating Noisy Labels with Sample Selection by Mining High-Discrepancy Examples. ICCV (2023)
Haopeng Li, Qiuhong Ke, Mingming Gong, Rui Zhang
Video Joint Modelling Based on Hierarchical Transformer for Co-Summarization. IEEE Trans. Pattern Anal. Mach. Intell. 45 (3) (2023)
Yanwu Xu, Mingming Gong, Shaoan Xie, Wei Wei, Matthias Grundmann, Kayhan Batmanghelich, Tingbo Hou
Semi-Implicit Denoising Diffusion Models (SIDDMs). CoRR (2023)
Yu-Ren Liu, Biwei Huang, Zheng-Mao Zhu, Hong-Long Tian, Mingming Gong, Yang Yu, Kun Zhang
Learning World Models with Identifiable Factorization. CoRR (2023)
Dongting Hu, Zhenkai Zhang, Tingbo Hou, Tongliang Liu, Huan Fu, Mingming Gong
Multiscale Representation for Real-Time Anti-Aliasing Neural Rendering. CoRR (2023)
Erdun Gao, Junjia Chen, Li Shen, Tongliang Liu, Mingming Gong, Howard D. Bondell
FedDAG: Federated DAG Structure Learning. Trans. Mach. Learn. Res. 2023 (2023)
Yuanyuan Wang, Xi Geng, Wei Huang, Biwei Huang, Mingming Gong
Generator Identification for Linear SDEs with Additive and Multiplicative Noise. CoRR (2023)
Anqi Zhu, Qiuhong Ke, Mingming Gong, James Bailey
Adaptive Local-Component-aware Graph Convolutional Network for One-shot Skeleton-based Action Recognition. WACV (2023)
Yujia Zheng, Biwei Huang, Wei Chen, Joseph D. Ramsey, Mingming Gong, Ruichu Cai, Shohei Shimizu, Peter Spirtes, Kun Zhang
Causal-learn: Causal Discovery in Python. CoRR (2023)
Yexiong Lin, Yu Yao, Xiaolong Shi, Mingming Gong, Xu Shen, Dong Xu, Tongliang Liu
CS-Isolate: Extracting Hard Confident Examples by Content and Style Isolation. NeurIPS (2023)
Jinghe Yang, Mingming Gong, Girish Nair, Jung Hoon Lee, Jason Monty, Ye Pu
Knowledge Distillation for Feature Extraction in Underwater VSLAM. ICRA (2023)
Yuanyuan Wang, Xi Geng, Wei Huang, Biwei Huang, Mingming Gong
Generator Identification for Linear SDEs with Additive and Multiplicative Noise. NeurIPS (2023)
Yu Yao, Mingming Gong, Yuxuan Du, Jun Yu, Bo Han, Kun Zhang, Tongliang Liu
Which is Better for Learning with Noisy Labels: The Semi-supervised Method or Modeling Label Noise? ICML (2023)
Shaoan Xie, Yanwu Xu, Mingming Gong, Kun Zhang
Unpaired Image-to-Image Translation with Shortest Path Regularization. CVPR (2023)
Hao Liu, Xin Li, Mingming Gong, Bing Liu, Yunfei Wu, Deqiang Jiang, Yinsong Liu, Xing Sun
Grab What You Need: Rethinking Complex Table Structure Recognition with Flexible Components Deliberation. CoRR (2023)
Junzhi Ning, Mingming Gong
Enhancing Night-to-Day Image Translation with Semantic Prior and Reference Image Guidance. ADC (2023)
Zhiyu Wang, Mohammad Goudarzi, Mingming Gong, Rajkumar Buyya
Deep Reinforcement Learning-based Scheduling in Edge and Fog Computing Environments. CoRR (2023)
Zhaoqing Wang, Ziyu Chen, Yaqian Li, Yandong Guo, Jun Yu, Mingming Gong, Tongliang Liu
Mosaic Representation Learning for Self-supervised Visual Pre-training. ICLR (2023)
Ziye Chen, Kate Smith-Miles, Bo Du, Guoqi Qian, Mingming Gong
An Efficient Transformer for Simultaneous Learning of BEV and Lane Representations in 3D Lane Detection. CoRR (2023)
Dongting Hu, Zhenkai Zhang, Tingbo Hou, Tongliang Liu, Huan Fu, Mingming Gong
Multiscale Representation for Real-Time Anti-Aliasing Neural Rendering. ICCV (2023)
Ming Gao, Yanwu Xu, Yang Zhao, Tingbo Hou, Chenkai Zhao, Mingming Gong
CLIP3Dstyler: Language Guided 3D Arbitrary Neural Style Transfer. CoRR (2023)
Shanshan Zhao, Mingming Gong, Haimei Zhao, Jing Zhang, Dacheng Tao
Deep Corner. Int. J. Comput. Vis. 131 (11) (2023)
Lunhao Duan, Shanshan Zhao, Nan Xue, Mingming Gong, Gui-Song Xia, Dacheng Tao
ConDaFormer: Disassembled Transformer with Local Structure Enhancement for 3D Point Cloud Understanding. NeurIPS (2023)
Haopeng Li, Qiuhong Ke, Mingming Gong, Tom Drummond
Progressive Video Summarization via Multimodal Self-supervised Learning. WACV (2023)
Ziye Chen, Yu Liu, Mingming Gong, Bo Du, Guoqi Qian, Kate Smith-Miles
Generating Dynamic Kernels via Transformers for Lane Detection. ICCV (2023)
Jinghe Yang, Mingming Gong, Girish Nair, Jung Hoon Lee, Jason Monty, Ye Pu
Knowledge Distillation for Feature Extraction in Underwater VSLAM. CoRR (2023)
Mingming Gong, Zhiyang Li, Wuyungerile Li
Research on ultra-wideband (UWB) indoor accurate positioning technology under signal interference. iThings/GreenCom/CPSCom/SmartData/Cybermatics (2022)
Yexiong Lin, Yu Yao, Yuxuan Du, Jun Yu, Bo Han, Mingming Gong, Tongliang Liu
Do We Need to Penalize Variance of Losses for Learning with Label Noise? CoRR (2022)
Yang Chen, Shanshan Zhao, Wei Ji, Mingming Gong, Liping Xie
MetaComp: Learning to Adapt for Online Depth Completion. CoRR (2022)
Qi Zheng, Mingming Gong, Xinge You, Dacheng Tao
A Unified B-Spline Framework for Scale-Invariant Keypoint Detection. Int. J. Comput. Vis. 130 (3) (2022)
Mingjiang Liang, Shaoli Huang, Shirui Pan, Mingming Gong, Wei Liu
Learning multi-level weight-centric features for few-shot learning. Pattern Recognit. 128 (2022)
Zhaoqing Wang, Yu Lu, Qiang Li, Xunqiang Tao, Yandong Guo, Mingming Gong, Tongliang Liu
CRIS: CLIP-Driven Referring Image Segmentation. CVPR (2022)
Licheng Tang, Yiyang Cai, Jiaming Liu, Zhibin Hong, Mingming Gong, Minhu Fan, Junyu Han, Jingtuo Liu, Errui Ding, Jingdong Wang
Few-Shot Font Generation by Learning Fine-Grained Local Styles. CVPR (2022)
Jiazhi Guan, Hang Zhou, Mingming Gong, Youjian Zhao, Errui Ding, Jingdong Wang
Detecting Deepfake by Creating Spatio-Temporal Regularity Disruption. CoRR (2022)
Dongting Hu, Liuhua Peng, Tingjin Chu, Xiaoxing Zhang, Yinian Mao, Howard Bondell, Mingming Gong
Uncertainty Quantification in Depth Estimation via Constrained Ordinal Regression. ECCV (2) (2022)
Zhaoqing Wang, Qiang Li, Guoxin Zhang, Pengfei Wan, Wen Zheng, Nannan Wang, Mingming Gong, Tongliang Liu
Exploring Set Similarity for Dense Self-supervised Representation Learning. CVPR (2022)
Zhen Zhang, Ignavier Ng, Dong Gong, Yuhang Liu, Ehsan Abbasnejad, Mingming Gong, Kun Zhang, Javen Qinfeng Shi
Truncated Matrix Power Iteration for Differentiable DAG Learning. NeurIPS (2022)
Shanshan Zhao, Mingming Gong, Xi Li, Dacheng Tao
Adaptive Edge-to-Edge Interaction Learning for Point Cloud Analysis. CoRR (2022)
Licheng Tang, Yiyang Cai, Jiaming Liu, Zhibin Hong, Mingming Gong, Minhu Fan, Junyu Han, Jingtuo Liu, Errui Ding, Jingdong Wang
Few-Shot Font Generation by Learning Fine-Grained Local Styles. CoRR (2022)
Yanwu Xu, Shaoan Xie, Maxwell Reynolds, Matthew Ragoza, Mingming Gong, Kayhan Batmanghelich
Adversarial Consistency for Single Domain Generalization in Medical Image Segmentation. CoRR (2022)
Yu Yao, Tongliang Liu, Bo Han, Mingming Gong, Gang Niu, Masashi Sugiyama, Dacheng Tao
Rethinking Class-Prior Estimation for Positive-Unlabeled Learning. ICLR (2022)
Pengfei Xi, Guifeng Wang, Zhipeng Hu, Yu Xiong, Mingming Gong, Wei Huang, Runze Wu, Yu Ding, Tangjie Lv, Changjie Fan, Xiangnan Feng
TCFimt: Temporal Counterfactual Forecasting from Individual Multiple Treatment Perspective. CoRR (2022)
Erdun Gao, Ignavier Ng, Mingming Gong, Li Shen, Wei Huang, Tongliang Liu, Kun Zhang, Howard D. Bondell
MissDAG: Causal Discovery in the Presence of Missing Data with Continuous Additive Noise Models. NeurIPS (2022)
Jixian Guo, Mingming Gong, Dacheng Tao
A Relational Intervention Approach for Unsupervised Dynamics Generalization in Model-Based Reinforcement Learning. CoRR (2022)
Yanwu Xu, Shaoan Xie, Maxwell Reynolds, Matthew Ragoza, Mingming Gong, Kayhan Batmanghelich
Adversarial Consistency for Single Domain Generalization in Medical Image Segmentation. MICCAI (8) (2022)
Xuetong Wu, Mingming Gong, Jonathan H. Manton, Uwe Aickelin, Jingge Zhu
On Causality in Domain Adaptation and Semi-Supervised Learning: an Information-Theoretic Analysis. CoRR (2022)
Zhuo Huang, Xiaobo Xia, Li Shen, Bo Han, Mingming Gong, Chen Gong, Tongliang Liu
Harnessing Out-Of-Distribution Examples via Augmenting Content and Style. CoRR (2022)
Li Sun, Junxiang Chen, Yanwu Xu, Mingming Gong, Ke Yu, Kayhan Batmanghelich
Hierarchical Amortized GAN for 3D High Resolution Medical Image Synthesis. IEEE J. Biomed. Health Informatics 26 (8) (2022)
Yuhang Liu, Zhen Zhang, Dong Gong, Mingming Gong, Biwei Huang, Anton van den Hengel, Kun Zhang, Javen Qinfeng Shi
Weight-variant Latent Causal Models. CoRR (2022)
Yuhang Liu, Zhen Zhang, Dong Gong, Mingming Gong, Biwei Huang, Kun Zhang, Javen Qinfeng Shi
Identifying Latent Causal Content for Multi-Source Domain Adaptation. CoRR (2022)
Zhen Zhang, Ignavier Ng, Dong Gong, Yuhang Liu, M. Ehsan Abbasnejad, Mingming Gong, Kun Zhang, Javen Qinfeng Shi
Truncated Matrix Power Iteration for Differentiable DAG Learning. CoRR (2022)
Jiaxian Guo, Mingming Gong, Dacheng Tao
A Relational Intervention Approach for Unsupervised Dynamics Generalization in Model-Based Reinforcement Learning. ICLR (2022)
Wentao Tan, Pengfei Wang, Changxing Ding, Mingming Gong, Kui Jia
Style Interleaved Learning for Generalizable Person Re-identification. CoRR (2022)
Jian Zhang, Jinchi Huang, Bowen Cai, Huan Fu, Mingming Gong, Chaohui Wang, Jiaming Wang, Hongchen Luo, Rongfei Jia, Binqiang Zhao, Xing Tang
Digging into Radiance Grid for Real-Time View Synthesis with Detail Preservation. ECCV (15) (2022)
Haopeng Li, Qiuhong Ke, Mingming Gong, Rui Zhang
Video Summarization Based on Video-text Modelling. CoRR (2022)
Aoqi Zuo, Susan Wei, Tongliang Liu, Bo Han, Kun Zhang, Mingming Gong
Counterfactual Fairness with Partially Known Causal Graph. NeurIPS (2022)

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Publication Activity (10 Years)

Top Topics

Top Venues

Mingming Gong