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2020 – today
- 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) - [c70]Songhua Wu, Mingming Gong, Bo Han, Yang Liu, Tongliang Liu:
Fair Classification with Instance-dependent Label Noise. CLeaR 2022: 927-943 - [c69]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 - [c68]Zhaoqing Wang, Yu Lu, Qiang Li, Xunqiang Tao, Yandong Guo, Mingming Gong, Tongliang Liu:
CRIS: CLIP-Driven Referring Image Segmentation. CVPR 2022: 11676-11685 - [c67]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 - [c66]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 - [c65]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 - [c64]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: 237-256 - [c63]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 - [c62]Jiaxian Guo, Mingming Gong, Dacheng Tao:
A Relational Intervention Approach for Unsupervised Dynamics Generalization in Model-Based Reinforcement Learning. ICLR 2022 - [c61]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 - [c60]Yu Yao, Tongliang Liu, Bo Han, Mingming Gong, Gang Niu, Masashi Sugiyama, Dacheng Tao:
Rethinking Class-Prior Estimation for Positive-Unlabeled Learning. ICLR 2022 - [c59]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 - [c58]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 - [c57]Chaojian Yu, Bo Han, Mingming Gong, Li Shen, Shiming Ge, Du Bo, Tongliang Liu:
Robust Weight Perturbation for Adversarial Training. IJCAI 2022: 3688-3694 - [c56]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 - [c55]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 - [c54]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 - [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 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]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 abs/2207.03162 (2022) - [i54]Jiazhi Guan, Hang Zhou, Mingming Gong, Youjian Zhao, Errui Ding, Jingdong Wang:
Detecting Deepfake by Creating Spatio-Temporal Regularity Disruption. CoRR abs/2207.10402 (2022) - [i53]Yang Chen, Shanshan Zhao, Wei Ji, Mingming Gong, Liping Xie:
MetaComp: Learning to Adapt for Online Depth Completion. CoRR abs/2207.10623 (2022) - [i52]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 abs/2208.14153 (2022) - [i51]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 abs/2208.14161 (2022) - [i50]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 abs/2208.14571 (2022) - [i49]Danru Xu, Erdun Gao, Wei Huang, Mingming Gong:
On the Sparse DAG Structure Learning Based on Adaptive Lasso. CoRR abs/2209.02946 (2022) - [i48]Anqi Zhu, Qiuhong Ke, Mingming Gong, James Bailey:
Adaptive Local-Component-aware Graph Convolutional Network for One-shot Skeleton-based Action Recognition. CoRR abs/2209.10073 (2022) - [i47]Chaojian Yu, Dawei Zhou, Li Shen, Jun Yu, Bo Han, Mingming Gong, Nannan Wang, Tongliang Liu:
Strength-Adaptive Adversarial Training. CoRR abs/2210.01288 (2022) - [i46]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. CoRR abs/2210.05955 (2022) - [i45]Shanshan Zhao, Mingming Gong, Xi Li, Dacheng Tao:
Adaptive Edge-to-Edge Interaction Learning for Point Cloud Analysis. CoRR abs/2211.10888 (2022) - [i44]Yujie Li, Bowen Cai, Yuqin Liang, Rongfei Jia, Binqiang Zhao, Mingming Gong, Huan Fu:
3D Scene Creation and Rendering via Rough Meshes: A Lighting Transfer Avenue. CoRR abs/2211.14823 (2022) - [i43]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 abs/2212.08890 (2022) - 2021
- [j15]Mingming Gong, Peng Liu, Frank C. Sciurba, Petar Stojanov, Dacheng Tao, George C. Tseng, Kun Zhang, Kayhan Batmanghelich:
Unpaired data empowers association tests. Bioinform. 37(6): 785-792 (2021) - [j14]Huan Fu, Rongfei Jia, Lin Gao, Mingming Gong, Binqiang Zhao, Stephen J. Maybank, Dacheng Tao:
3D-FUTURE: 3D Furniture Shape with TextURE. Int. J. Comput. Vis. 129(12): 3313-3337 (2021) - [j13]Changqing Shen, Xu Wang, Dong Wang, Yongxiang Li, Jun Zhu, Mingming Gong:
Dynamic Joint Distribution Alignment Network for Bearing Fault Diagnosis Under Variable Working Conditions. IEEE Trans. Instrum. Meas. 70: 1-13 (2021) - [j12]Jia Shao, Bo Du, Chen Wu, Mingming Gong, Tongliang Liu:
HRSiam: High-Resolution Siamese Network, Towards Space-Borne Satellite Video Tracking. IEEE Trans. Image Process. 30: 3056-3068 (2021) - [j11]Shanshan Zhao, Mingming Gong, Huan Fu, Dacheng Tao:
Adaptive Context-Aware Multi-Modal Network for Depth Completion. IEEE Trans. Image Process. 30: 5264-5276 (2021) - [c52]Qizhou Wang, Jiangchao Yao, Chen Gong, Tongliang Liu, Mingming Gong, Hongxia Yang, Bo Han:
Learning with Group Noise. AAAI 2021: 10192-10200 - [c51]Ziye Chen, Yibing Zhan, Baosheng Yu, Mingming Gong, Bo Du:
Not All Operations Contribute Equally: Hierarchical Operation-adaptive Predictor for Neural Architecture Search. ICCV 2021: 10488-10497 - [c50]Shaoan Xie, Mingming Gong, Yanwu Xu, Kun Zhang:
Unaligned Image-to-Image Translation by Learning to Reweight. ICCV 2021: 14154-14164 - [c49]Lingjuan Ge, Mingming Gong, Yutian Lin, Bo Du:
Dual-Regularization Complementary Learning for Image Classification. ICME 2021: 1-6 - [c48]Songhua Wu, Xiaobo Xia, Tongliang Liu, Bo Han, Mingming Gong, Nannan Wang, Haifeng Liu, Gang Niu:
Class2Simi: A Noise Reduction Perspective on Learning with Noisy Labels. ICML 2021: 11285-11295 - [c47]Shuyu Miao, Shuaicheng Li, Lin Zheng, Wei Yu, Jingjing Liu, Mingming Gong, Rui Feng:
Disentangled Feature Network for Fine-Grained Recognition. ICONIP (2) 2021: 439-450 - [c46]Zhaoqing Wang, Xiangyu Kong, Zhanbei Cui, Ming Wu, Chuang Zhang, Mingming Gong, Tongliang Liu:
Vecnet: A Spectral and Multi-Scale Spatial Fusion Deep Network for Pixel-Level Cloud Type Classification in Himawari-8 Imagery. IGARSS 2021: 4083-4086 - [c45]Yu Yao, Tongliang Liu, Mingming Gong, Bo Han, Gang Niu, Kun Zhang:
Instance-dependent Label-noise Learning under a Structural Causal Model. NeurIPS 2021: 4409-4420 - [c44]Petar Stojanov, Zijian Li, Mingming Gong, Ruichu Cai, Jaime G. Carbonell, Kun Zhang:
Domain Adaptation with Invariant Representation Learning: What Transformations to Learn? NeurIPS 2021: 24791-24803 - [i42]Qizhou Wang, Jiangchao Yao, Chen Gong, Tongliang Liu, Mingming Gong, Hongxia Yang, Bo Han:
Learning with Group Noise. CoRR abs/2103.09468 (2021) - [i41]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. CoRR abs/2106.00445 (2021) - [i40]Xiaobo Xia, Tongliang Liu, Bo Han, Mingming Gong, Jun Yu, Gang Niu, Masashi Sugiyama:
Instance Correction for Learning with Open-set Noisy Labels. CoRR abs/2106.00455 (2021) - [i39]Yonggang Zhang, Mingming Gong, Tongliang Liu, Gang Niu, Xinmei Tian, Bo Han, Bernhard Schölkopf, Kun Zhang:
Adversarial Robustness through the Lens of Causality. CoRR abs/2106.06196 (2021) - [i38]Xiaobo Xia, Shuo Shan, Mingming Gong, Nannan Wang, Fei Gao, Haikun Wei, Tongliang Liu:
Kernel Mean Estimation by Marginalized Corrupted Distributions. CoRR abs/2107.04855 (2021) - [i37]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. CoRR abs/2107.08712 (2021) - [i36]Yanwu Xu, Mingming Gong, Shaoan Xie, Kayhan Batmanghelich:
Box-Adapt: Domain-Adaptive Medical Image Segmentation using Bounding BoxSupervision. CoRR abs/2108.08432 (2021) - [i35]Pengfei Wang, Changxing Ding, Wentao Tan, Mingming Gong, Kui Jia, Dacheng Tao:
Uncertainty-aware Clustering for Unsupervised Domain Adaptive Object Re-identification. CoRR abs/2108.09682 (2021) - [i34]Yu Yao, Tongliang Liu, Mingming Gong, Bo Han, Gang Niu, Kun Zhang:
Instance-dependent Label-noise Learning under a Structural Causal Model. CoRR abs/2109.02986 (2021) - [i33]Shaoan Xie, Mingming Gong, Yanwu Xu, Kun Zhang:
Unaligned Image-to-Image Translation by Learning to Reweight. CoRR abs/2109.11736 (2021) - [i32]Junkun Yuan, Xu Ma, Kun Kuang, Ruoxuan Xiong, Mingming Gong, Lanfen Lin:
Learning Domain-Invariant Relationship with Instrumental Variable for Domain Generalization. CoRR abs/2110.01438 (2021) - [i31]Zhaoqing Wang, Yu Lu, Qiang Li, Xunqiang Tao, Yandong Guo, Mingming Gong, Tongliang Liu:
CRIS: CLIP-Driven Referring Image Segmentation. CoRR abs/2111.15174 (2021) - [i30]Erdun Gao, Junjia Chen, Li Shen, Tongliang Liu, Mingming Gong, Howard Bondell:
Federated Causal Discovery. CoRR abs/2112.03555 (2021) - [i29]Haopeng Li, Qiuhong Ke, Mingming Gong, Rui Zhang:
Video Joint Modelling Based on Hierarchical Transformer for Co-summarization. CoRR abs/2112.13478 (2021) - 2020
- [j10]Ruxin Wang, Mingming Gong, Dacheng Tao:
Receptive Field Size Versus Model Depth for Single Image Super-Resolution. IEEE Trans. Image Process. 29: 1669-1682 (2020) - [j9]Youfa Liu, Bo Du, Weiping Tu, Mingming Gong, Yuhong Guo, Dacheng Tao:
LogDet Metric-Based Domain Adaptation. IEEE Trans. Neural Networks Learn. Syst. 31(11): 4673-4687 (2020) - [c43]Ziye Chen, Mingming Gong, Yanwu Xu, Chaohui Wang, Kun Zhang, Bo Du:
Compressed Self-Attention for Deep Metric Learning. AAAI 2020: 3561-3568 - [c42]Yanwu Xu, Mingming Gong, Junxiang Chen, Tongliang Liu, Kun Zhang, Kayhan Batmanghelich:
Generative-Discriminative Complementary Learning. AAAI 2020: 6526-6533 - [c41]Biwei Huang, Kun Zhang, Mingming Gong, Clark Glymour:
Causal Discovery from Multiple Data Sets with Non-Identical Variable Sets. AAAI 2020: 10153-10161 - [c40]Ang Li, Shanshan Zhao, Xingjun Ma, Mingming Gong, Jianzhong Qi, Rui Zhang, Dacheng Tao, Ramamohanarao Kotagiri:
Short-Term and Long-Term Context Aggregation Network for Video Inpainting. ECCV (4) 2020: 728-743 - [c39]Jiankang Deng, Jia Guo, Tongliang Liu, Mingming Gong, Stefanos Zafeiriou:
Sub-center ArcFace: Boosting Face Recognition by Large-Scale Noisy Web Faces. ECCV (11) 2020: 741-757 - [c38]Jiaxian Guo, Mingming Gong, Tongliang Liu, Kun Zhang, Dacheng Tao:
LTF: A Label Transformation Framework for Correcting Label Shift. ICML 2020: 3843-3853 - [c37]Xiyu Yu, Tongliang Liu, Mingming Gong, Kun Zhang, Kayhan Batmanghelich, Dacheng Tao:
Label-Noise Robust Domain Adaptation. ICML 2020: 10913-10924 - [c36]Ziye Chen, Mingming Gong, Lingjuan Ge, Bo Du:
Compressed Self-Attention for Deep Metric Learning with Low-Rank Approximation. IJCAI 2020: 2058-2064 - [c35]Mingming Gong:
Bridging Causality and Learning: How Do They Benefit from Each Other? IJCAI 2020: 5150-5153 - [c34]Kun Zhang, Mingming Gong, Petar Stojanov, Biwei Huang, Qingsong Liu, Clark Glymour:
Domain Adaptation as a Problem of Inference on Graphical Models. NeurIPS 2020 - [c33]Huan Fu, Shunming Li, Rongfei Jia, Mingming Gong, Binqiang Zhao, Dacheng Tao:
Hard Example Generation by Texture Synthesis for Cross-domain Shape Similarity Learning. NeurIPS 2020 - [c32]Xiaobo Xia, Tongliang Liu, Bo Han, Nannan Wang, Mingming Gong, Haifeng Liu, Gang Niu, Dacheng Tao, Masashi Sugiyama:
Part-dependent Label Noise: Towards Instance-dependent Label Noise. NeurIPS 2020 - [c31]Yu Yao, Tongliang Liu, Bo Han, Mingming Gong, Jiankang Deng, Gang Niu, Masashi Sugiyama:
Dual T: Reducing Estimation Error for Transition Matrix in Label-noise Learning. NeurIPS 2020 - [c30]Shanshan Zhao, Mingming Gong, Tongliang Liu, Huan Fu, Dacheng Tao:
Domain Generalization via Entropy Regularization. NeurIPS 2020 - [i28]Kun Zhang, Mingming Gong, Petar Stojanov, Biwei Huang, Clark Glymour:
Domain Adaptation As a Problem of Inference on Graphical Models. CoRR abs/2002.03278 (2020) - [i27]Yu Yao, Tongliang Liu, Bo Han, Mingming Gong, Gang Niu, Masashi Sugiyama, Dacheng Tao:
Towards Mixture Proportion Estimation without Irreducibility. CoRR abs/2002.03673 (2020) - [i26]Songhua Wu, Xiaobo Xia, Tongliang Liu, Bo Han, Mingming Gong, Nannan Wang, Haifeng Liu, Gang Niu:
Multi-Class Classification from Noisy-Similarity-Labeled Data. CoRR abs/2002.06508 (2020) - [i25]Yu Yao, Tongliang Liu, Bo Han, Mingming Gong, Jiankang Deng, Gang Niu, Masashi Sugiyama:
Dual T: Reducing Estimation Error for Transition Matrix in Label-noise Learning. CoRR abs/2006.07805 (2020) - [i24]Songhua Wu, Xiaobo Xia, Tongliang Liu, Bo Han, Mingming Gong, Nannan Wang, Haifeng Liu, Gang Niu:
Class2Simi: A New Perspective on Learning with Label Noise. CoRR abs/2006.07831 (2020) - [i23]Xiaobo Xia, Tongliang Liu, Bo Han, Nannan Wang, Mingming Gong, Haifeng Liu, Gang Niu, Dacheng Tao, Masashi Sugiyama:
Parts-dependent Label Noise: Towards Instance-dependent Label Noise. CoRR abs/2006.07836 (2020) - [i22]Li Sun, Junxiang Chen, Yanwu Xu, Mingming Gong, Ke Yu, Kayhan Batmanghelich:
Hierarchical Amortized Training for Memory-efficient High Resolution 3D GAN. CoRR abs/2008.01910 (2020) - [i21]Shanshan Zhao, Mingming Gong, Huan Fu, Dacheng Tao:
Adaptive Context-Aware Multi-Modal Network for Depth Completion. CoRR abs/2008.10833 (2020) - [i20]Ang Li, Shanshan Zhao, Xingjun Ma, Mingming Gong, Jianzhong Qi, Rui Zhang, Dacheng Tao, Ramamohanarao Kotagiri:
Short-Term and Long-Term Context Aggregation Network for Video Inpainting. CoRR abs/2009.05721 (2020) - [i19]Huan Fu, Rongfei Jia, Lin Gao, Mingming Gong, Binqiang Zhao, Steve J. Maybank, Dacheng Tao:
3D-FUTURE: 3D Furniture shape with TextURE. CoRR abs/2009.09633 (2020) - [i18]Daniel Murfet, Susan Wei, Mingming Gong, Hui Li, Jesse Gell-Redman, Thomas Quella:
Deep Learning is Singular, and That's Good. CoRR abs/2010.11560 (2020) - [i17]Huan Fu, Shunming Li, Rongfei Jia, Mingming Gong, Binqiang Zhao, Dacheng Tao:
Hard Example Generation by Texture Synthesis for Cross-domain Shape Similarity Learning. CoRR abs/2010.12238 (2020)
2010 – 2019
- 2019
- [j8]Zhifan Gao, Sitong Wu, Zhi Liu, Jianwen Luo, Heye Zhang, Mingming Gong, Shuo Li:
Learning the implicit strain reconstruction in ultrasound elastography using privileged information. Medical Image Anal. 58 (2019) - [c29]Petar Stojanov, Mingming Gong, Jaime G. Carbonell, Kun Zhang:
Low-Dimensional Density Ratio Estimation for Covariate Shift Correction. AISTATS 2019: 3449-3458 - [c28]Petar Stojanov, Mingming Gong, Jaime G. Carbonell, Kun Zhang:
Data-Driven Approach to Multiple-Source Domain Adaptation. AISTATS 2019: 3487-3496 - [c27]Huan Fu, Mingming Gong, Chaohui Wang, Kayhan Batmanghelich, Kun Zhang, Dacheng Tao:
Geometry-Consistent Generative Adversarial Networks for One-Sided Unsupervised Domain Mapping. CVPR 2019: 2427-2436 - [c26]Shanshan Zhao, Huan Fu, Mingming Gong, Dacheng Tao:
Geometry-Aware Symmetric Domain Adaptation for Monocular Depth Estimation. CVPR 2019: 9788-9798 - [c25]Biwei Huang, Kun Zhang, Mingming Gong, Clark Glymour:
Causal Discovery and Forecasting in Nonstationary Environments with State-Space Models. ICML 2019: 2901-2910 - [c24]Mingming Gong, Yanwu Xu, Chunyuan Li, Kun Zhang, Kayhan Batmanghelich:
Twin Auxilary Classifiers GAN. NeurIPS 2019: 1328-1337 - [c23]Chenwei Ding, Mingming Gong, Kun Zhang, Dacheng Tao:
Likelihood-Free Overcomplete ICA and Applications In Causal Discovery. NeurIPS 2019: 6880-6890 - [c22]Biwei Huang, Kun Zhang, Pengtao Xie, Mingming Gong, Eric P. Xing, Clark Glymour:
Specific and Shared Causal Relation Modeling and Mechanism-Based Clustering. NeurIPS 2019: 13510-13521 - [i16]Yanwu Xu, Mingming Gong, Tongliang Liu, Kayhan Batmanghelich, Chaohui Wang:
Robust Angular Local Descriptor Learning. CoRR abs/1901.07076 (2019) - [i15]Yanwu Xu, Mingming Gong, Junxiang Chen, Tongliang Liu, Kun Zhang, Kayhan Batmanghelich:
Generative-Discriminative Complementary Learning. CoRR abs/1904.01612 (2019) - [i14]Shanshan Zhao, Huan Fu, Mingming Gong, Dacheng Tao:
Geometry-Aware Symmetric Domain Adaptation for Monocular Depth Estimation. CoRR abs/1904.01870 (2019) - [i13]Biwei Huang, Kun Zhang, Mingming Gong, Clark Glymour:
Causal Discovery and Forecasting in Nonstationary Environments with State-Space Models. CoRR abs/1905.10857 (2019) - [i12]