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2020 – today
- 2025
[j40]Gang Liu, Qingchen Yu
, Mingming Gong, Hao Yang:
Universal Synchronization Loss Optimization in DETR-Based Oriented and Rotated Object Detection. IEEE Access 13: 45669-45681 (2025)- [j39]Zhongyi Han, Gongxu Luo, Hao Sun, Yaqian Li, Bo Han, Mingming Gong, Kun Zhang, Tongliang Liu:
Alignclip: navigating the misalignments for robust vision-language generalization. Mach. Learn. 114(3): 58 (2025) - [j38]Zhifan Gao, Saidi Guo, Chenchu Xu, Jinglin Zhang, Mingming Gong, Javier Del Ser, Shuo Li:
Multi-Domain Adversarial Variational Bayesian Inference for Domain Generalization. IEEE Trans. Circuits Syst. Video Technol. 35(4): 3081-3093 (2025) - [j37]Yuhang Liu, Zhen Zhang, Dong Gong, Mingming Gong, Biwei Huang, Anton van den Hengel, Kun Zhang, Javen Qinfeng Shi:
Latent Covariate Shift: Unlocking Partial Identifiability for Multi-Source Domain Adaptation. Trans. Mach. Learn. Res. 2025 (2025) - [j36]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. IEEE Trans. Multim. 27: 2666-2681 (2025) - [j35]Archer Moore, Heejung Shim, Jingge Zhu, Mingming Gong:
Semi-Supervised Learning Under General Causal Models. IEEE Trans. Neural Networks Learn. Syst. 36(4): 7345-7356 (2025) - [c118]Yongkang Cheng, Shaoli Huang, Xuelin Chen, Jifeng Ning, Mingming Gong:
DIDiffGes: Decoupled Semi-Implicit Diffusion Models for Real-time Gesture Generation from Speech. AAAI 2025: 2464-2472 - [c117]Zijian Li, Yifan Shen, Kaitao Zheng, Ruichu Cai, Xiangchen Song, Mingming Gong, Guangyi Chen, Kun Zhang:
On the Identification of Temporal Causal Representation with Instantaneous Dependence. ICLR 2025 - [c116]Zhen Zhang, Ignavier Ng, Dong Gong, Yuhang Liu, Mingming Gong, Biwei Huang, Kun Zhang, Anton van den Hengel, Javen Qinfeng Shi:
Analytic DAG Constraints for Differentiable DAG Learning. ICLR 2025 - [c115]Zhekai Du, Yinjie Min, Jingjing Li, Ke Lu, Changliang Zou, Liuhua Peng, Tingjin Chu, Mingming Gong:
LoCA: Location-Aware Cosine Adaptation for Parameter-Efficient Fine-Tuning. ICLR 2025 - [c114]Yingyu Lin, Yuxing Huang, Wenqin Liu, Haoran Deng, Ignavier Ng, Kun Zhang, Mingming Gong, Yian Ma, Biwei Huang:
A Skewness-Based Criterion for Addressing Heteroscedastic Noise in Causal Discovery. ICLR 2025 - [c113]Hao Wang, Zhengnan Li, Haoxuan Li, Xu Chen, Mingming Gong, BinChen, Zhichao Chen:
Optimal Transport for Time Series Imputation. ICLR 2025 - [c112]Yu Yao, Yang Zhou, Bo Han, Mingming Gong, Kun Zhang, Tongliang Liu:
A Robust Method to Discover Causal or Anticausal Relation. ICLR 2025 - [c111]Chuan Zhou, Yaxuan Li, Chunyuan Zheng, Haiteng Zhang, Min Zhang, Haoxuan Li, Mingming Gong:
A Two-Stage Pretraining-Finetuning Framework for Treatment Effect Estimation with Unmeasured Confounding. KDD (1) 2025: 2113-2123 - [e2]Mingming Gong, Yiliao Song, Yun Sing Koh, Wei Xiang, Derui Wang:
AI 2024: Advances in Artificial Intelligence - 37th Australasian Joint Conference on Artificial Intelligence, AI 2024, Melbourne, VIC, Australia, November 25-29, 2024, Proceedings, Part I. Lecture Notes in Computer Science 15442, Springer 2025, ISBN 978-981-96-0347-3 [contents] - [e1]Mingming Gong, Yiliao Song, Yun Sing Koh, Wei Xiang, Derui Wang:
AI 2024: Advances in Artificial Intelligence - 37th Australasian Joint Conference on Artificial Intelligence, AI 2024, Melbourne, VIC, Australia, November 25-29, 2024, Proceedings, Part II. Lecture Notes in Computer Science 15443, Springer 2025, ISBN 978-981-96-0350-3 [contents] - [i129]Runnan Chen, Xiangyu Sun, Zhaoqing Wang, Youquan Liu, Jiepeng Wang, Lingdong Kong, Jiankang Deng, Mingming Gong, Liang Pan, Wenping Wang, Tongliang Liu:
OVGaussian: Generalizable 3D Gaussian Segmentation with Open Vocabularies. CoRR abs/2501.00326 (2025) - [i128]Runnan Chen, Zhaoqing Wang, Jiepeng Wang, Yuexin Ma, Mingming Gong, Wenping Wang, Tongliang Liu:
PanoSLAM: Panoptic 3D Scene Reconstruction via Gaussian SLAM. CoRR abs/2501.00352 (2025) - [i127]Haopeng Li, Tom Drummond, Mingming Gong, Mohammed Bennamoun, Qiuhong Ke:
Admitting Ignorance Helps the Video Question Answering Models to Answer. CoRR abs/2501.08771 (2025) - [i126]Chuan Zhou, Yaxuan Li, Chunyuan Zheng, Haiteng Zhang, Haoxuan Li, Mingming Gong:
A Partial Initialization Strategy to Mitigate the Overfitting Problem in CATE Estimation with Hidden Confounding. CoRR abs/2501.08888 (2025) - [i125]Xingjun Ma, Yifeng Gao, Yixu Wang, Ruofan Wang, Xin Wang, Ye Sun, Yifan Ding, Hengyuan Xu, Yunhao Chen, Yunhan Zhao, Hanxun Huang, Yige Li, Jiaming Zhang, Xiang Zheng, Yang Bai, Zuxuan Wu, Xipeng Qiu, Jingfeng Zhang, Yiming Li, Jun Sun, Cong Wang, Jindong Gu, Baoyuan Wu, Siheng Chen, Tianwei Zhang, Yang Liu, Mingming Gong, Tongliang Liu, Shirui Pan, Cihang Xie, Tianyu Pang, Yinpeng Dong, Ruoxi Jia, Yang Zhang, Shiqing Ma, Xiangyu Zhang, Neil Gong, Chaowei Xiao, Sarah M. Erfani, Bo Li, Masashi Sugiyama, Dacheng Tao, James Bailey, Yu-Gang Jiang:
Safety at Scale: A Comprehensive Survey of Large Model Safety. CoRR abs/2502.05206 (2025) - [i124]Zhekai Du, Yinjie Min, Jingjing Li, Ke Lu, Changliang Zou, Liuhua Peng, Tingjin Chu, Mingming Gong:
LoCA: Location-Aware Cosine Adaptation for Parameter-Efficient Fine-Tuning. CoRR abs/2502.06820 (2025) - [i123]Zhenchen Wan, Yanwu Xu, Dongting Hu, Weilun Cheng, Tianxi Chen, Zhaoqing Wang, Feng Liu, Tongliang Liu, Mingming Gong:
MF-VITON: High-Fidelity Mask-Free Virtual Try-On with Minimal Input. CoRR abs/2503.08650 (2025) - [i122]Yuhang Liu, Dong Gong, Erdun Gao, Zhen Zhang, Biwei Huang, Mingming Gong, Anton van den Hengel, Javen Qinfeng Shi:
I Predict Therefore I Am: Is Next Token Prediction Enough to Learn Human-Interpretable Concepts from Data? CoRR abs/2503.08980 (2025) - [i121]Jingyu Guo, Sensen Gao, Jia-Wang Bian, Wanhu Sun, Heliang Zheng, Rongfei Jia, Mingming Gong:
Hyper3D: Efficient 3D Representation via Hybrid Triplane and Octree Feature for Enhanced 3D Shape Variational Auto-Encoders. CoRR abs/2503.10403 (2025) - [i120]Yongkang Cheng, Shaoli Huang, Xuelin Chen, Jifeng Ning, Mingming Gong:
DIDiffGes: Decoupled Semi-Implicit Diffusion Models for Real-time Gesture Generation from Speech. CoRR abs/2503.17059 (2025) - [i119]Zhengqing Gao, Dongting Hu, Jia-Wang Bian, Huan Fu, Yan Li, Tongliang Liu, Mingming Gong, Kun Zhang:
ProtoGS: Efficient and High-Quality Rendering with 3D Gaussian Prototypes. CoRR abs/2503.17486 (2025) - [i118]Jiaxin Huang, Runnan Chen, Ziwen Li, Zhengqing Gao, Xiao He, Yandong Guo, Mingming Gong, Tongliang Liu:
MLLM-For3D: Adapting Multimodal Large Language Model for 3D Reasoning Segmentation. CoRR abs/2503.18135 (2025) - [i117]Zhen Zhang, Ignavier Ng, Dong Gong, Yuhang Liu, Mingming Gong, Biwei Huang, Kun Zhang, Anton van den Hengel, Javen Qinfeng Shi:
Analytic DAG Constraints for Differentiable DAG Learning. CoRR abs/2503.19218 (2025) - [i116]Ziye Chen, Yiqun Duan, Riheng Zhu, Zhenbang Sun, Mingming Gong:
Agent-Centric Personalized Multiple Clustering with Multi-Modal LLMs. CoRR abs/2503.22241 (2025) - [i115]Jinghe Yang, Mingming Gong, Ye Pu:
Knowledge Distillation for Underwater Feature Extraction and Matching via GAN-synthesized Images. CoRR abs/2504.08253 (2025) - [i114]Hechuan Wen, Tong Chen, Mingming Gong, Li Kheng Chai, Shazia Sadiq, Hongzhi Yin:
Enhancing Treatment Effect Estimation via Active Learning: A Counterfactual Covering Perspective. CoRR abs/2505.05242 (2025) - [i113]Jinlong Fan, Xuepu Zeng, Jing Zhang, Mingming Gong, Yuxiang Yang, Dacheng Tao:
Advances in Radiance Field for Dynamic Scene: From Neural Field to Gaussian Field. CoRR abs/2505.10049 (2025) - [i112]Xiangyu Sun, Runnan Chen, Mingming Gong, Dong Xu, Tongliang Liu:
Intern-GS: Vision Model Guided Sparse-View 3D Gaussian Splatting. CoRR abs/2505.20729 (2025) - [i111]Hao Yang, Haoxuan Li, Mengyue Yang, Xu Chen, Mingming Gong:
Estimating the Effects of Sample Training Orders for Large Language Models without Retraining. CoRR abs/2505.22042 (2025) - 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) - [c110]Gaoge Han, Shaoli Huang, Mingming Gong, Jinglei Tang:
HuTuMotion: Human-Tuned Navigation of Latent Motion Diffusion Models with Minimal Feedback. AAAI 2024: 2031-2039 - [c109]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 - [c108]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 - [c107]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. CVPR 2024: 15546-15555 - [c106]Anqi Zhu, Qiuhong Ke, Mingming Gong, James Bailey:
Part-Aware Unified Representation of Language and Skeleton for Zero-Shot Action Recognition. CVPR 2024: 18761-18770 - [c105]Jinghe Yang, Mingming Gong, Ye Pu:
Physics-Informed Knowledge Transfer for Underwater Monocular Depth Estimation. ECCV (71) 2024: 449-465 - [c104]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 - [c103]Erdun Gao, Howard D. Bondell, Wei Huang, Mingming Gong:
A Variational Framework for Estimating Continuous Treatment Effects with Measurement Error. ICLR 2024 - [c102]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 - [c101]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 - [c100]Aoqi Zuo, Yiqing Li, Susan Wei, Mingming Gong:
Interventional Fairness on Partially Known Causal Graphs: A Constrained Optimization Approach. ICLR 2024 - [c99]Shunxing Fan, Mingming Gong, Kun Zhang:
On the Recoverability of Causal Relations from Temporally Aggregated I.I.D. Data. ICML 2024 - [c98]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 - [c97]Xinshu Li, Mingming Gong, Lina Yao:
Self-Distilled Disentangled Learning for Counterfactual Prediction. KDD 2024: 1667-1678 - [c96]Zhikang Chen, Min Zhang, Sen Cui, Haoxuan Li, Gang Niu, Mingming Gong, Changshui Zhang, Kun Zhang:
Neural Collapse Inspired Feature Alignment for Out-of-Distribution Generalization. NeurIPS 2024 - [c95]Dongting Hu, Huan Fu, Jiaxian Guo, Liuhua Peng, Tingjin Chu, Feng Liu, Tongliang Liu, Mingming Gong:
In-N-Out: Lifting 2D Diffusion Prior for 3D Object Removal via Tuning-Free Latents Alignment. NeurIPS 2024 - [c94]Chenxi Liu, Yongqiang Chen, Tongliang Liu, Mingming Gong, James Cheng, Bo Han, Kun Zhang:
Discovery of the Hidden World with Large Language Models. NeurIPS 2024 - [c93]Yuanyuan Wang, Biwei Huang, Wei Huang, Xi Geng, Mingming Gong:
Identifiability Analysis of Linear ODE Systems with Hidden Confounders. NeurIPS 2024 - [c92]Haitian He, Sarah M. Erfani, Mingming Gong, Qiuhong Ke:
Learning Transferable Representations for Image Anomaly Localization Using Dense Pretraining. WACV 2024: 1102-1111 - [i110]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) - [i109]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) - [i108]Aoqi Zuo, Yiqing Li, Susan Wei, Mingming Gong:
Interventional Fairness on Partially Known Causal Graphs: A Constrained Optimization Approach. CoRR abs/2401.10632 (2024) - [i107]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) - [i106]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) - [i105]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) - [i104]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) - [i103]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) - [i102]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) - [i101]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) - [i100]Shunxing Fan, Mingming Gong, Kun Zhang:
On the Recoverability of Causal Relations from Temporally Aggregated I.I.D. Data. CoRR abs/2406.02191 (2024) - [i99]Xiaoli Wei, Zhaoqing Wang, Yandong Guo, Chunxia Zhang, Tongliang Liu, Mingming Gong:
Training-Free Robust Interactive Video Object Segmentation. CoRR abs/2406.05485 (2024) - [i98]Xinshu Li, Mingming Gong, Lina Yao:
Self-Distilled Disentangled Learning for Counterfactual Prediction. CoRR abs/2406.05855 (2024) - [i97]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) - [i96]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) - [i95]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) - [i94]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) - [i93]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) - [i92]Yingyu Lin, Yuxing Huang, Wenqin Liu, Haoran Deng, Ignavier Ng, Kun Zhang, Mingming Gong, Yi-An Ma, Biwei Huang:
A Skewness-Based Criterion for Addressing Heteroscedastic Noise in Causal Discovery. CoRR abs/2410.06407 (2024) - [i91]Zexu Huang, Sarah Monazam Erfani, Siying Lu, Mingming Gong:
Efficient Neural Implicit Representation for 3D Human Reconstruction. CoRR abs/2410.17741 (2024) - [i90]Yuanyuan Wang, Biwei Huang, Wei Huang, Xi Geng, Mingming Gong:
Identifiability Analysis of Linear ODE Systems with Hidden Confounders. CoRR abs/2410.21917 (2024) - [i89]Zhaoqing Wang, Xiaobo Xia, Runnan Chen, Dongdong Yu, Changhu Wang, Mingming Gong, Tongliang Liu:
LaVin-DiT: Large Vision Diffusion Transformer. CoRR abs/2411.11505 (2024) - [i88]Zhenchen Wan, Yanwu Xu, Zhaoqing Wang, Feng Liu, Tongliang Liu, Mingming Gong:
TED-VITON: Transformer-Empowered Diffusion Models for Virtual Try-On. CoRR abs/2411.17017 (2024) - [i87]Xunye Tian, Liuhua Peng, Zhijian Zhou, Mingming Gong, Feng Liu:
Revisit Non-parametric Two-sample Testing as a Semi-supervised Learning Problem. CoRR abs/2412.00613 (2024) - [i86]Ziwen Li, Jiaxin Huang, Runnan Chen, Yunlong Che, Yandong Guo, Tongliang Liu, Fakhri Karray, Mingming Gong:
Urban4D: Semantic-Guided 4D Gaussian Splatting for Urban Scene Reconstruction. CoRR abs/2412.03473 (2024) - [i85]Dongting Hu, Jierun Chen, 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:
SnapGen: Taming High-Resolution Text-to-Image Models for Mobile Devices with Efficient Architectures and Training. CoRR abs/2412.09619 (2024) - [i84]Wenxiao Cai, Dongting Hu, Ruoyan Yin, Jiankang Deng, Huan Fu, Wankou Yang, Mingming Gong:
Uncertainty Quantification in Stereo Matching. CoRR abs/2412.18703 (2024) - [i83]Lunhao Duan, Shanshan Zhao, Wenjun Yan, Yinglun Li, Qing-Guo Chen, Zhao Xu, Weihua Luo, Kaifu Zhang, Mingming Gong, Gui-Song Xia:
UNIC-Adapter: Unified Image-instruction Adapter with Multi-modal Transformer for Image Generation. CoRR abs/2412.18928 (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]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 D. 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]Mingming Gong, Yanwu Xu, Chunyuan Li, Kun Zhang, Kayhan Batmanghelich:
Twin Auxiliary Classifiers GAN. CoRR abs/1907.02690 (2019) - [i11]Yipeng Mou, Mingming Gong, Huan Fu, Kayhan Batmanghelich, Kun Zhang, Dacheng Tao:
Learning Depth from Monocular Videos Using Synthetic Data: A Temporally-Consistent Domain Adaptation Approach. CoRR abs/1907.06882 (2019) - [i10]Chenwei Ding, Mingming Gong, Kun Zhang, Dacheng Tao:
Likelihood-Free Overcomplete ICA and Applications in Causal Discovery. CoRR abs/1909.01525 (2019) - 2018
- [j7]Huan Fu, Mingming Gong, Chaohui Wang, Dacheng Tao:
MoE-SPNet: A mixture-of-experts scene parsing network. Pattern Recognit. 84: 226-236 (2018) - [c21]Ya Li, Mingming Gong, Xinmei Tian, Tongliang Liu, Dacheng Tao:
Domain Generalization via Conditional Invariant Representations. AAAI 2018: 3579-3587 - [c20]Yanwu Xu, Mingming Gong, Tongliang Liu, Kayhan Batmanghelich, Chaohui Wang:
Robust Angular Local Descriptor Learning. ACCV (5) 2018: 420-435 - [c19]Huan Fu, Mingming Gong, Chaohui Wang, Kayhan Batmanghelich, Dacheng Tao:
Deep Ordinal Regression Network for Monocular Depth Estimation. CVPR 2018: 2002-2011 - [c18]Xiyu Yu, Tongliang Liu, Mingming Gong, Kayhan Batmanghelich, Dacheng Tao:
An Efficient and Provable Approach for Mixture Proportion Estimation Using Linear Independence Assumption. CVPR 2018: 4480-4489 - [c17]Xiyu Yu, Tongliang Liu, Mingming Gong, Dacheng Tao:
Learning with Biased Complementary Labels. ECCV (1) 2018: 69-85 - [c16]Baosheng Yu, Tongliang Liu, Mingming Gong, Changxing Ding, Dacheng Tao:
Correcting the Triplet Selection Bias for Triplet Loss. ECCV (6) 2018: 71-86 - [c15]Ya Li, Xinmei Tian, Mingming Gong, Yajing Liu, Tongliang Liu, Kun Zhang, Dacheng Tao:
Deep Domain Generalization via Conditional Invariant Adversarial Networks. ECCV (15) 2018: 647-663 - [c14]Yanwu Xu, Mingming Gong, Huan Fu, Dacheng Tao, Kun Zhang, Kayhan Batmanghelich:
Multi-scale Masked 3-D U-Net for Brain Tumor Segmentation. BrainLes@MICCAI (2) 2018: 222-233 - [c13]Sumedha Singla, Mingming Gong, Siamak Ravanbakhsh, Frank C. Sciurba, Barnabás Póczos, Kayhan N. Batmanghelich:
Subject2Vec: Generative-Discriminative Approach from a Set of Image Patches to a Vector. MICCAI (1) 2018: 502-510 - [c12]Menghan Wang, Mingming Gong, Xiaolin Zheng, Kun Zhang:
Modeling Dynamic Missingness of Implicit Feedback for Recommendation. NeurIPS 2018: 6670-6679 - [c11]Kun Zhang, Mingming Gong, Joseph D. Ramsey, Kayhan Batmanghelich, Peter Spirtes, Clark Glymour:
Causal Discovery with Linear Non-Gaussian Models under Measurement Error: Structural Identifiability Results. UAI 2018: 1063-1072 - [i9]Mingming Gong, Kun Zhang, Biwei Huang, Clark Glymour, Dacheng Tao, Kayhan Batmanghelich:
Causal Generative Domain Adaptation Networks. CoRR abs/1804.04333 (2018) - [i8]Huan Fu, Mingming Gong, Chaohui Wang, Kayhan Batmanghelich, Dacheng Tao:
Deep Ordinal Regression Network for Monocular Depth Estimation. CoRR abs/1806.02446 (2018) - [i7]Huan Fu, Mingming Gong, Chaohui Wang, Dacheng Tao:
MoE-SPNet: A Mixture-of-Experts Scene Parsing Network. CoRR abs/1806.07049 (2018) - [i6]Sumedha Singla, Mingming Gong, Siamak Ravanbakhsh, Frank C. Sciurba, Barnabás Póczos, Kayhan N. Batmanghelich:
Subject2Vec: Generative-Discriminative Approach from a Set of Image Patches to a Vector. CoRR abs/1806.11217 (2018) - [i5]Ya Li, Mingming Gong, Xinmei Tian, Tongliang Liu, Dacheng Tao:
Domain Generalization via Conditional Invariant Representation. CoRR abs/1807.08479 (2018) - [i4]Huan Fu, Mingming Gong, Chaohui Wang, Kayhan Batmanghelich, Kun Zhang, Dacheng Tao:
Geometry-Consistent Adversarial Networks for One-Sided Unsupervised Domain Mapping. CoRR abs/1809.05852 (2018) - 2017
- [b1]Mingming Gong:
Causal and causally-inspired learning. University of Technology Sydney, Australia, 2017 - [j6]Tongliang Liu, Mingming Gong, Dacheng Tao:
Large-Cone Nonnegative Matrix Factorization. IEEE Trans. Neural Networks Learn. Syst. 28(9): 2129-2142 (2017) - [c10]Shaoli Huang, Mingming Gong, Dacheng Tao:
A Coarse-Fine Network for Keypoint Localization. ICCV 2017: 3047-3056 - [c9]Mingming Gong, Kun Zhang, Bernhard Schölkopf, Clark Glymour, Dacheng Tao:
Causal Discovery from Temporally Aggregated Time Series. UAI 2017 - [i3]Kun Zhang, Mingming Gong, Joseph D. Ramsey, Kayhan Batmanghelich, Peter Spirtes, Clark Glymour:
Causal Discovery in the Presence of Measurement Error: Identifiability Conditions. CoRR abs/1706.03768 (2017) - [i2]Huan Fu, Mingming Gong, Chaohui Wang, Dacheng Tao:
A Compromise Principle in Deep Monocular Depth Estimation. CoRR abs/1708.08267 (2017) - [i1]Xiyu Yu, Tongliang Liu, Mingming Gong, Dacheng Tao:
Learning with Biased Complementary Labels. CoRR abs/1711.09535 (2017) - 2016
- [j5]Jun Li, Chang Xu, Mingming Gong, Junliang Xing, Wankou Yang, Changyin Sun:
SERVE: Soft and Equalized Residual VEctors for image retrieval. Neurocomputing 207: 202-212 (2016) - [c8]Mingming Gong, Kun Zhang, Tongliang Liu, Dacheng Tao, Clark Glymour, Bernhard Schölkopf:
Domain Adaptation with Conditional Transferable Components. ICML 2016: 2839-2848 - 2015
- [j4]Dawei Weng, Yunhong Wang, Mingming Gong, Dacheng Tao, Hui Wei, Di Huang:
DERF: Distinctive Efficient Robust Features From the Biological Modeling of the P Ganglion Cells. IEEE Trans. Image Process. 24(8): 2287-2302 (2015) - [c7]Kun Zhang, Mingming Gong, Bernhard Schölkopf:
Multi-Source Domain Adaptation: A Causal View. AAAI 2015: 3150-3157 - [c6]Mingming Gong, Kun Zhang, Bernhard Schölkopf, Dacheng Tao, Philipp Geiger:
Discovering Temporal Causal Relations from Subsampled Data. ICML 2015: 1898-1906 - [c5]Philipp Geiger, Kun Zhang, Bernhard Schölkopf, Mingming Gong, Dominik Janzing:
Causal Inference by Identification of Vector Autoregressive Processes with Hidden Components. ICML 2015: 1917-1925 - 2014
- [j3]Xinge You, Qiang Li, Dacheng Tao, Weihua Ou, Mingming Gong:
Local Metric Learning for Exemplar-Based Object Detection. IEEE Trans. Circuits Syst. Video Technol. 24(8): 1265-1276 (2014) - 2012
- [j2]Xiubao Jiang, Xinge You, Yuan Yuan, Mingming Gong:
A method using long digital straight segments for fingerprint recognition. Neurocomputing 77(1): 28-35 (2012) - [j1]Mingming Gong, Marius Pedersen:
Spatial pooling for measuring color printing quality attributes. J. Vis. Commun. Image Represent. 23(5): 685-696 (2012) - [c4]Quanming Yao, Xiubao Jiang, Mingming Gong, Xinge You, Yu Liu, Duanquan Xu:
Efficient Group Learning with Hypergraph Partition in Multi-task Learning. CCPR 2012: 9-16 - [c3]Weihua Ou, Xinge You, Yiu-ming Cheung, Qinmu Peng, Mingming Gong, Xiubao Jiang:
Structured sparse coding for image representation based on L1-graph. ICPR 2012: 3220-3223 - 2011
- [c2]Wu Zeng, Long Zhou, Xiubao Jiang, Xinge You, Mingming Gong:
Clustering Based Image Denoising Using SURE-LET. CIS 2011: 1303-1307 - 2010
- [c1]Xiubao Jiang, Long Zhou, Mingming Gong, Xinge You:
Long digital straight segments for fingerprint matching. ICMLC 2010: 769-774
Coauthor Index
Kayhan Batmanghelich
aka: Kayhan N. Batmanghelich
aka: Kayhan N. Batmanghelich
[j39] [c112] [i129] [i128] [i125] [i123] [i119] [i118] [i112] [j31] [c102] [c98] [c95] [c94] [i107] [i105] [i99] [i95] [i89] [i88] [i86] [j23] [c89] [c87] [c86] [c85] [c83] [c82] [c78] [i80] [i75] [c73] [c71] [c70] [c64] [c63] [c62] [c61] [c60] [c58] [c55] [c54] [i67] [i62] [i61] [i60] [i58] [i55] [i47] [i46] [j12] [c52] [c48] [c46] [c45] [i42] [i41] [i40] [i39] [i38] [i37] [i34] [i31] [i30] [c42] [c39] [c38] [c37] [c32] [c31] [c30] [i27] [i26] [i25] [i24] [i23] [i16] [i15] [c21] [c20] [c18] [c17] [c16] [c15] [i5] [j6] [i1] [c8]
Qinfeng Shi
aka: Javen Qinfeng Shi
aka: Javen Qinfeng Shi
[i125] [i113] [j33] [j31] [j26] [j22] [c79] [i70] [j20] [c69] [c65] [c63] [i59] [i46] [i45] [j15] [j14] [j11] [i35] [j10] [j9] [c40] [c38] [c37] [c33] [c32] [c30] [i27] [i23] [i21] [i20] [i19] [i17] [c27] [c26] [c23] [i14] [i11] [i10] [j7] [c21] [c19] [c18] [c17] [c16] [c15] [c14] [i9] [i8] [i7] [i5] [i4] [j6] [c10] [c9] [i2] [i1] [c8] [j4] [c6] [j3]
[j39] [j37] [c117] [c116] [c114] [c112] [i119] [i117] [j32] [j31] [c101] [c99] [c98] [c96] [c94] [i107] [i106] [i103] [i101] [i100] [i95] [i94] [i92] [c90] [c84] [c82] [c77] [i77] [i74] [i72] [c69] [c68] [c62] [c56] [c55] [c54] [i66] [i62] [i61] [i52] [i51] [i50] [i46] [j15] [c50] [c45] [c44] [i39] [i34] [i33] [c43] [c42] [c41] [c38] [c37] [c34] [i28] [c29] [c28] [c27] [c25] [c24] [c23] [c22] [i15] [i13] [i12] [i11] [i10] [c15] [c14] [c12] [c11] [i9] [i4] [c9] [i3] [c8] [c7] [c6] [c5]
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