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2020 – today
- 2024
[j34]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: 55-69 (2024)- [j33]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): 1721-1747 (2024) - [j32]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. J. Mach. Learn. Res. 25: 60:1-60:8 (2024) - [j31]Yuanyuan Wang, Wei Huang, Mingming Gong, Xi Geng, Tongliang Liu, Kun Zhang, Dacheng Tao:
Identifiability and Asymptotics in Learning Homogeneous Linear ODE Systems from Discrete Observations. J. Mach. Learn. Res. 25: 154:1-154:50 (2024) - [j30]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): 6292-6305 (2024) - [j29]Jun Chen, Heye Zhang, Mingming Gong, Zhifan Gao:
Collaborative compensative transformer network for salient object detection. Pattern Recognit. 154: 110600 (2024) - [j28]Zexu Huang, Sarah Monazam Erfani, Siying Lu, Mingming Gong:
Efficient neural implicit representation for 3D human reconstruction. Pattern Recognit. 156: 110758 (2024) - [j27]Wentao Tan, Changxing Ding, Pengfei Wang, Mingming Gong, Kui Jia:
Style Interleaved Learning for Generalizable Person Re-Identification. IEEE Trans. Multim. 26: 1600-1612 (2024) - [c103]Gaoge Han, Shaoli Huang, Mingming Gong, Jinglei Tang:
HuTuMotion: Human-Tuned Navigation of Latent Motion Diffusion Models with Minimal Feedback. AAAI 2024: 2031-2039 - [c102]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: 3603-3611 - [c101]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: 1237-1263 - [c100]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: 7945-7949 - [c99]Erdun Gao, Howard D. Bondell, Wei Huang, Mingming Gong:
A Variational Framework for Estimating Continuous Treatment Effects with Measurement Error. ICLR 2024 - [c98]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 - [c97]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 - [c96]Aoqi Zuo, Yiqing Li, Susan Wei, Mingming Gong:
Interventional Fairness on Partially Known Causal Graphs: A Constrained Optimization Approach. ICLR 2024 - [c95]Shunxing Fan, Mingming Gong, Kun Zhang:
On the Recoverability of Causal Relations from Temporally Aggregated I.I.D. Data. ICML 2024 - [c94]Wenjie Wang, Biwei Huang, Feng Liu, Xinge You, Tongliang Liu, Kun Zhang, Mingming Gong:
Optimal Kernel Choice for Score Function-based Causal Discovery. ICML 2024 - [c93]Xinshu Li, Mingming Gong, Lina Yao:
Self-Distilled Disentangled Learning for Counterfactual Prediction. KDD 2024: 1667-1678 - [c92]Haitian He, Sarah M. Erfani, Mingming Gong, Qiuhong Ke:
Learning Transferable Representations for Image Anomaly Localization Using Dense Pretraining. WACV 2024: 1102-1111 - [i100]Haopeng Li, Qiuhong Ke, Mingming Gong, Tom Drummond:
Answering from Sure to Uncertain: Uncertainty-Aware Curriculum Learning for Video Question Answering. CoRR abs/2401.01510 (2024) - [i99]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 abs/2401.03476 (2024) - [i98]Aoqi Zuo, Yiqing Li, Susan Wei, Mingming Gong:
Interventional Fairness on Partially Known Causal Graphs: A Constrained Optimization Approach. CoRR abs/2401.10632 (2024) - [i97]Chenxi Liu, Yongqiang Chen, Tongliang Liu, Mingming Gong, James Cheng, Bo Han, Kun Zhang:
Discovery of the Hidden World with Large Language Models. CoRR abs/2402.03941 (2024) - [i96]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 abs/2402.06223 (2024) - [i95]Zhaoqing Wang, Xiaobo Xia, Ziye Chen, Xiao He, Yandong Guo, Mingming Gong, Tongliang Liu:
Open-Vocabulary Segmentation with Unpaired Mask-Text Supervision. CoRR abs/2402.08960 (2024) - [i94]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 abs/2402.19014 (2024) - [i93]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 abs/2403.15711 (2024) - [i92]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 abs/2404.00362 (2024) - [i91]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 abs/2405.15325 (2024) - [i90]Shunxing Fan, Mingming Gong, Kun Zhang:
On the Recoverability of Causal Relations from Temporally Aggregated I.I.D. Data. CoRR abs/2406.02191 (2024) - [i89]Xiaoli Wei, Zhaoqing Wang, Yandong Guo, Chunxia Zhang, Tongliang Liu, Mingming Gong:
Training-Free Robust Interactive Video Object Segmentation. CoRR abs/2406.05485 (2024) - [i88]Xinshu Li, Mingming Gong, Lina Yao:
Self-Distilled Disentangled Learning for Counterfactual Prediction. CoRR abs/2406.05855 (2024) - [i87]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 abs/2406.13272 (2024) - [i86]Anqi Zhu, Qiuhong Ke, Mingming Gong, James Bailey:
Part-aware Unified Representation of Language and Skeleton for Zero-shot Action Recognition. CoRR abs/2406.13327 (2024) - [i85]Wenjie Wang, Biwei Huang, Feng Liu, Xinge You, Tongliang Liu, Kun Zhang, Mingming Gong:
Optimal Kernel Choice for Score Function-based Causal Discovery. CoRR abs/2407.10132 (2024) - [i84]Ce Chen, Shaoli Huang, Xuelin Chen, Guangyi Chen, Xiaoguang Han, Kun Zhang, Mingming Gong:
CT4D: Consistent Text-to-4D Generation with Animatable Meshes. CoRR abs/2408.08342 (2024) - [i83]Haiyao Cao, Zhen Zhang, Panpan Cai, Yuhang Liu, Jinan Zou, Ehsan Abbasnejad, Biwei Huang, Mingming Gong, Anton van den Hengel, Javen Qinfeng Shi:
Rethinking State Disentanglement in Causal Reinforcement Learning. CoRR abs/2408.13498 (2024) - 2023
- [j26]Shanshan Zhao, Mingming Gong, Haimei Zhao, Jing Zhang, Dacheng Tao:
Deep Corner. Int. J. Comput. Vis. 131(11): 2908-2932 (2023) - [j25]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): 3904-3917 (2023) - [j24]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): 118:1-118:21 (2023) - [j23]Erdun Gao, Junjia Chen, Li Shen, Tongliang Liu, Mingming Gong, Howard D. Bondell:
FedDAG: Federated DAG Structure Learning. Trans. Mach. Learn. Res. 2023 (2023) - [j22]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: 2624-2635 (2023) - [j21]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): 10473-10486 (2023) - [c91]Junzhi Ning, Mingming Gong:
Enhancing Night-to-Day Image Translation with Semantic Prior and Reference Image Guidance. ADC 2023: 164-182 - [c90]Shaoan Xie, Yanwu Xu, Mingming Gong, Kun Zhang:
Unpaired Image-to-Image Translation with Shortest Path Regularization. CVPR 2023: 10177-10187 - [c89]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: 1833-1843 - [c88]Ziye Chen, Yu Liu, Mingming Gong, Bo Du, Guoqi Qian, Kate Smith-Miles:
Generating Dynamic Kernels via Transformers for Lane Detection. ICCV 2023: 6812-6821 - [c87]Dongting Hu, Zhenkai Zhang, Tingbo Hou, Tongliang Liu, Huan Fu, Mingming Gong:
Multiscale Representation for Real-Time Anti-Aliasing Neural Rendering. ICCV 2023: 17726-17737 - [c86]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 - [c85]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 - [c84]Shaoan Xie, Lingjing Kong, Mingming Gong, Kun Zhang:
Multi-domain image generation and translation with identifiability guarantees. ICLR 2023 - [c83]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: 8260-8275 - [c82]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: 39660-39673 - [c81]Jinghe Yang, Mingming Gong, Girish Nair, Jung Hoon Lee, Jason Monty, Ye Pu:
Knowledge Distillation for Feature Extraction in Underwater VSLAM. ICRA 2023: 5163-5169 - [c80]Yanwu Xu, Mingming Gong, Shaoan Xie, Wei Wei, Matthias Grundmann, Kayhan Batmanghelich, Tingbo Hou:
Semi-Implicit Denoising Diffusion Models (SIDDMs). NeurIPS 2023 - [c79]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 - [c78]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 - [c77]Yuren Liu, Biwei Huang, Zhengmao Zhu, Hong-Long Tian, Mingming Gong, Yang Yu, Kun Zhang:
Learning World Models with Identifiable Factorization. NeurIPS 2023 - [c76]Yuanyuan Wang, Xi Geng, Wei Huang, Biwei Huang, Mingming Gong:
Generator Identification for Linear SDEs with Additive and Multiplicative Noise. NeurIPS 2023 - [c75]Haopeng Li, Qiuhong Ke, Mingming Gong, Tom Drummond:
Progressive Video Summarization via Multimodal Self-supervised Learning. WACV 2023: 5573-5582 - [c74]Anqi Zhu, Qiuhong Ke, Mingming Gong, James Bailey:
Adaptive Local-Component-aware Graph Convolutional Network for One-shot Skeleton-based Action Recognition. WACV 2023: 6027-6036 - [i82]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 abs/2303.09174 (2023) - [i81]Jinghe Yang, Mingming Gong, Girish Nair, Jung Hoon Lee, Jason Monty, Ye Pu:
Knowledge Distillation for Feature Extraction in Underwater VSLAM. CoRR abs/2303.17981 (2023) - [i80]Dongting Hu, Zhenkai Zhang, Tingbo Hou, Tongliang Liu, Huan Fu, Mingming Gong:
Multiscale Representation for Real-Time Anti-Aliasing Neural Rendering. CoRR abs/2304.10075 (2023) - [i79]Ming Gao, Yanwu Xu, Yang Zhao, Tingbo Hou, Chenkai Zhao, Mingming Gong:
CLIP3Dstyler: Language Guided 3D Arbitrary Neural Style Transfer. CoRR abs/2305.15732 (2023) - [i78]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 abs/2306.04927 (2023) - [i77]Yu-Ren Liu, Biwei Huang, Zheng-Mao Zhu, Hong-Long Tian, Mingming Gong, Yang Yu, Kun Zhang:
Learning World Models with Identifiable Factorization. CoRR abs/2306.06561 (2023) - [i76]Yanwu Xu, Mingming Gong, Shaoan Xie, Wei Wei, Matthias Grundmann, Kayhan Batmanghelich, Tingbo Hou:
Semi-Implicit Denoising Diffusion Models (SIDDMs). CoRR abs/2306.12511 (2023) - [i75]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 abs/2307.05948 (2023) - [i74]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 abs/2307.16405 (2023) - [i73]Zhiyu Wang, Mohammad Goudarzi, Mingming Gong, Rajkumar Buyya:
Deep Reinforcement Learning-based Scheduling in Edge and Fog Computing Environments. CoRR abs/2309.07407 (2023) - [i72]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 abs/2310.15580 (2023) - [i71]Yuanyuan Wang, Xi Geng, Wei Huang, Biwei Huang, Mingming Gong:
Generator Identification for Linear SDEs with Additive and Multiplicative Noise. CoRR abs/2310.19491 (2023) - [i70]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 abs/2312.11112 (2023) - [i69]Gaoge Han, Shaoli Huang, Mingming Gong, Jinglei Tang:
HuTuMotion: Human-Tuned Navigation of Latent Motion Diffusion Models with Minimal Feedback. CoRR abs/2312.12227 (2023) - 2022
- [j20]Qi Zheng, Mingming Gong, Xinge You, Dacheng Tao:
A Unified B-Spline Framework for Scale-Invariant Keypoint Detection. Int. J. Comput. Vis. 130(3): 777-799 (2022) - [j19]Tahseen Khan, Wenhong Tian, Guangyao Zhou, Shashikant Ilager, Mingming Gong, Rajkumar Buyya:
Machine learning (ML)-centric resource management in cloud computing: A review and future directions. J. Netw. Comput. Appl. 204: 103405 (2022) - [j18]Mingjiang Liang, Shaoli Huang, Shirui Pan, Mingming Gong, Wei Liu:
Learning multi-level weight-centric features for few-shot learning. Pattern Recognit. 128: 108662 (2022) - [j17]Yiqiang Wu, Ruxin Wang, Mingming Gong, Jun Cheng, Zhengtao Yu, Dapeng Tao:
Adversarial UV-Transformation Texture Estimation for 3D Face Aging. IEEE Trans. Circuits Syst. Video Technol. 32(7): 4338-4350 (2022) - [j16]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): 3966-3975 (2022) - [c73]Songhua Wu, Mingming Gong, Bo Han, Yang Liu, Tongliang Liu:
Fair Classification with Instance-dependent Label Noise. CLeaR 2022: 927-943 - [c72]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: 7885-7894 - [c71]Zhaoqing Wang, Yu Lu, Qiang Li, Xunqiang Tao, Yandong Guo, Mingming Gong, Tongliang Liu:
CRIS: CLIP-Driven Referring Image Segmentation. CVPR 2022: 11676-11685 - [c70]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: 16569-16578 - [c69]Jiaxian Guo, Jiachen Li, Huan Fu, Mingming Gong, Kun Zhang, Dacheng Tao:
Alleviating Semantics Distortion in Unsupervised Low-Level Image-to-Image Translation via Structure Consistency Constraint. CVPR 2022: 18228-18238 - [c68]Yanwu Xu, Shaoan Xie, Wenhao Wu, Kun Zhang, Mingming Gong, Kayhan Batmanghelich:
Maximum Spatial Perturbation Consistency for Unpaired Image-to-Image Translation. CVPR 2022: 18290-18299 - [c67]Dongting Hu, Liuhua Peng, Tingjin Chu, Xiaoxing Zhang, Yinian Mao, Howard D. Bondell, Mingming Gong:
Uncertainty Quantification in Depth Estimation via Constrained Ordinal Regression. ECCV (2) 2022: 237-256 - [c66]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: 724-740 - [c65]Jiaxian Guo, Mingming Gong, Dacheng Tao:
A Relational Intervention Approach for Unsupervised Dynamics Generalization in Model-Based Reinforcement Learning. ICLR 2022 - [c64]Xiaobo Xia, Tongliang Liu, Bo Han, Mingming Gong, Jun Yu, Gang Niu, Masashi Sugiyama:
Sample Selection with Uncertainty of Losses for Learning with Noisy Labels. ICLR 2022 - [c63]Yu Yao, Tongliang Liu, Bo Han, Mingming Gong, Gang Niu, Masashi Sugiyama, Dacheng Tao:
Rethinking Class-Prior Estimation for Positive-Unlabeled Learning. ICLR 2022 - [c62]Yonggang Zhang, Mingming Gong, Tongliang Liu, Gang Niu, Xinmei Tian, Bo Han, Bernhard Schölkopf, Kun Zhang:
Adversarial Robustness Through the Lens of Causality. ICLR 2022 - [c61]Chaojian Yu, Bo Han, Li Shen, Jun Yu, Chen Gong, Mingming Gong, Tongliang Liu:
Understanding Robust Overfitting of Adversarial Training and Beyond. ICML 2022: 25595-25610 - [c60]Chaojian Yu, Bo Han, Mingming Gong, Li Shen, Shiming Ge, Du Bo, Tongliang Liu:
Robust Weight Perturbation for Adversarial Training. IJCAI 2022: 3688-3694 - [c59]Mingming Gong, Zhiyang Li, Wuyungerile Li:
Research on ultra-wideband (UWB) indoor accurate positioning technology under signal interference. iThings/GreenCom/CPSCom/SmartData/Cybermatics 2022: 147-154 - [c58]Xiaobo Xia, Shuo Shan, Mingming Gong, Nannan Wang, Fei Gao, Haikun Wei, Tongliang Liu:
Sample-Efficient Kernel Mean Estimator with Marginalized Corrupted Data. KDD 2022: 2110-2119 - [c57]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: 671-681 - [c56]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 - [c55]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 - [c54]Aoqi Zuo, Susan Wei, Tongliang Liu, Bo Han, Kun Zhang, Mingming Gong:
Counterfactual Fairness with Partially Known Causal Graph. NeurIPS 2022 - [c53]Menghan Wang, Yuchen Guo, Zhenqi Zhao, Guangzheng Hu, Yuming Shen, Mingming Gong, Philip H. S. Torr:
MP2: A Momentum Contrast Approach for Recommendation with Pointwise and Pairwise Learning. SIGIR 2022: 2105-2109 - [i68]Haopeng Li, Qiuhong Ke, Mingming Gong, Rui Zhang:
Video Summarization Based on Video-text Modelling. CoRR abs/2201.02494 (2022) - [i67]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 abs/2201.12739 (2022) - [i66]Yanwu Xu, Shaoan Xie, Wenhao Wu, Kun Zhang, Mingming Gong, Kayhan Batmanghelich:
Maximum Spatial Perturbation Consistency for Unpaired Image-to-Image Translation. CoRR abs/2203.12707 (2022) - [i65]Menghan Wang, Yuchen Guo, Zhenqi Zhao, Guangzheng Hu, Yuming Shen, Mingming Gong, Philip H. S. Torr:
MP2: A Momentum Contrast Approach for Recommendation with Pointwise and Pairwise Learning. CoRR abs/2204.08326 (2022) - [i64]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 abs/2205.04641 (2022) - [i63]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 abs/2205.09965 (2022) - [i62]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. CoRR abs/2205.13869 (2022) - [i61]Aoqi Zuo, Susan Wei, Tongliang Liu, Bo Han, Kun Zhang, Mingming Gong:
Counterfactual Fairness with Partially Known Causal Graph. CoRR abs/2205.13972 (2022) - [i60]Chaojian Yu, Bo Han, Mingming Gong, Li Shen, Shiming Ge, Bo Du, Tongliang Liu:
Robust Weight Perturbation for Adversarial Training. CoRR abs/2205.14826 (2022) - [i59]Jixian Guo, Mingming Gong, Dacheng Tao:
A Relational Intervention Approach for Unsupervised Dynamics Generalization in Model-Based Reinforcement Learning. CoRR abs/2206.04551 (2022) - [i58]Chaojian Yu, Bo Han, Li Shen, Jun Yu, Chen Gong, Mingming Gong, Tongliang Liu:
Understanding Robust Overfitting of Adversarial Training and Beyond. CoRR abs/2206.08675 (2022) - [i57]Yanwu Xu, Shaoan Xie, Maxwell Reynolds, Matthew Ragoza, Mingming Gong, Kayhan Batmanghelich:
Adversarial Consistency for Single Domain Generalization in Medical Image Segmentation. CoRR abs/2206.13737 (2022) - [i56]Wentao Tan, Pengfei Wang, Changxing Ding, Mingming Gong, Kui Jia:
Style Interleaved Learning for Generalizable Person Re-identification. CoRR abs/2207.03132 (2022) - [i55]