Mingming Gong - RankMe

346 papers A* 97A 9B 1C 2Misc 3Journal 210Unranked 21

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	3D point cloud classification network with hybrid sampling enhancement and point energy attention. Pattern Recognit. Di Tian, Mingming Gong, Jiabo Li, Jiahang Shi
2026	J	`jnl`	Adapformer: Adaptive channel management for multivariate time series forecasting. Neural Networks Yuchen Luo, Xinyu Li, Liuhua Peng, Mingming Gong
2026	J	`jnl`	AniFaceDiff: Animating stylized avatars via parametric conditioned diffusion models. Pattern Recognit. Ken Chen, Sachith Seneviratne, Wei Wang, Dongting Hu, Sanjay Saha, Md. Tarek Hasan, Sanka Rasnayaka, Tamasha Malepathirana, Mingming Gong, Saman K. Halgamuge
2026	J	`jnl`	Bayesian Inference of Contextual Bandit Policies via Empirical Likelihood. CoRR Jiangrong Ouyang, Mingming Gong, Howard D. Bondell
2026	J	`jnl`	Bayesian Inference of Contextual Bandit Policies via Empirical Likelihood. J. Mach. Learn. Res. Jiangrong Ouyang, Mingming Gong, Howard D. Bondell
2026	J	`jnl`	DeFRiS: Silo-Cooperative IoT Applications Scheduling via Decentralized Federated Reinforcement Learning. CoRR Zhiyu Wang, Mohammad Goudarzi, Mingming Gong, Rajkumar Buyya
2026	J	`jnl`	Deep Autocorrelation Modeling for Time-Series Forecasting: Progress and Prospects. CoRR Hao Wang, Licheng Pan, Qingsong Wen, Jialin Yu, Zhichao Chen, Chunyuan Zheng, Xiaoxi Li, Zhixuan Chu, Chao Xu, Mingming Gong, Haoxuan Li, Yuan Lu, Zhouchen Lin, Philip Torr, Yan Liu
2026	J	`jnl`	HUGE-Bench: A Benchmark for High-Level UAV Vision-Language-Action Tasks. CoRR Jingyu Guo, Ziye Chen, Ziwen Li, Zhengqing Gao, Jiaxin Huang, Hanlue Zhang, Fengming Huang, Yu Yao, Tongliang Liu, Mingming Gong
2026	J	`jnl`	Hierarchical Collaborative Fusion for 3D Instance-aware Referring Expression Segmentation. CoRR Keshen Zhou, Runnan Chen, Mingming Gong, Tongliang Liu
2026	J	`jnl`	Identifying Weight-Variant Latent Causal Models. J. Mach. Learn. Res. Yuhang Liu, Zhen Zhang, Dong Gong, Mingming Gong, Biwei Huang, Anton van den Hengel, Kun Zhang, Javen Qinfeng Shi
2026	J	`jnl`	InpaintHuman: Reconstructing Occluded Humans with Multi-Scale UV Mapping and Identity-Preserving Diffusion Inpainting. CoRR Jinlong Fan, Shanshan Zhao, Liang Zheng, Jing Zhang, Yuxiang Yang, Mingming Gong
2026	J	`jnl`	Intellectual Property Protection for 3D Gaussian Splatting Assets: A Survey. CoRR Longjie Zhao, Ziming Hong, Jiaxin Huang, Runnan Chen, Mingming Gong, Tongliang Liu
2026	J	`jnl`	KineVLA: Towards Kinematics-Aware Vision-Language-Action Models with Bi-Level Action Decomposition. CoRR Gaoge Han, Zhengqing Gao, Ziwen Li, Jiaxin Huang, Shaoli Huang, Fakhri Karray, Mingming Gong, Tongliang Liu
2026	J	`jnl`	LightHarmony3D: Harmonizing Illumination and Shadows for Object Insertion in 3D Gaussian Splatting. CoRR Tianyu Huang, Zhenyang Ren, Zhenchen Wan, Jiyang Zheng, Wenjie Wang, Runnan Chen, Mingming Gong, Tongliang Liu
2026	J	`jnl`	Mirage2Matter: A Physically Grounded Gaussian World Model from Video. CoRR Zhengqing Gao, Ziwen Li, Xin Wang, Jiaxin Huang, Zhenyang Ren, Mingkai Shao, Hanlue Zhang, Tianyu Huang, Yongkang Cheng, Yandong Guo, Runqi Lin, Yuanyuan Wang, Tongliang Liu, Kun Zhang, Mingming Gong
2026	J	`jnl`	Mobile-VTON: High-Fidelity On-Device Virtual Try-On. CoRR Zhenchen Wan, Ce Chen, Runqi Lin, Jiaxin Huang, Tianxi Chen, Yanwu Xu, Tongliang Liu, Mingming Gong
2026	J	`jnl`	Observationally Informed Adaptive Causal Experimental Design. CoRR Erdun Gao, Liang Zhang, Jake Fawkes, Aoqi Zuo, Wenqin Liu, Haoxuan Li, Mingming Gong, Dino Sejdinovic
2026	J	`jnl`	OneWorld: Taming Scene Generation with 3D Unified Representation Autoencoder. CoRR Sensen Gao, Zhaoqing Wang, Qihang Cao, Dongdong Yu, Changhu Wang, Tongliang Liu, Mingming Gong, Jiawang Bian
2026	J	`jnl`	Probabilistic modeling of disparity uncertainty for robust and efficient stereo matching. Pattern Recognit. Wenxiao Cai, Dongting Hu, Ruoyan Yin, Jiankang Deng, Huan Fu, Wankou Yang, Mingming Gong
2026	J	`jnl`	SnapGen++: Unleashing Diffusion Transformers for Efficient High-Fidelity Image Generation on Edge Devices. CoRR Dongting Hu, Aarush Gupta, Magzhan Gabidolla, Arpit Sahni, Huseyin Coskun, Yanyu Li, Yerlan Idelbayev, Ahsan Mahmood, Aleksei Lebedev, Dishani Lahiri, Anujraaj Goyal, Ju Hu, Mingming Gong, Sergey Tulyakov, Anil Kag
2025	J	`jnl`	A Knowledge Distillation-empowered Adaptive Federated Reinforcement Learning Framework for Multi-Domain IoT Applications Scheduling. CoRR Zhiyu Wang, Mohammad Goudarzi, Mingming Gong, Rajkumar Buyya
2025	J	`jnl`	A Partial Initialization Strategy to Mitigate the Overfitting Problem in CATE Estimation with Hidden Confounding. CoRR Chuan Zhou, Yaxuan Li, Chunyuan Zheng, Haiteng Zhang, Haoxuan Li, Mingming Gong
2025	A*	`conf`	A Robust Method to Discover Causal or Anticausal Relation. ICLR Yu Yao, Yang Zhou, Bo Han, Mingming Gong, Kun Zhang, Tongliang Liu
2025	A*	`conf`	A Skewness-Based Criterion for Addressing Heteroscedastic Noise in Causal Discovery. ICLR Yingyu Lin, Yuxing Huang, Wenqin Liu, Haoran Deng, Ignavier Ng, Kun Zhang, Mingming Gong, Yian Ma, Biwei Huang
2025	—	`conf`	A Two-Stage Pretraining-Finetuning Framework for Treatment Effect Estimation with Unmeasured Confounding. KDD (1) Chuan Zhou, Yaxuan Li, Chunyuan Zheng, Haiteng Zhang, Min Zhang, Haoxuan Li, Mingming Gong
2025	A	`conf`	A Unified Data Representation Learning for Non-parametric Two-sample Testing. UAI Xunye Tian, Liuhua Peng, Zhijian Zhou, Mingming Gong, Arthur Gretton, Feng Liu
2025	—	`ed.`	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 AI (1) Mingming Gong, Yiliao Song, Yun Sing Koh, Wei Xiang, Derui Wang
2025	—	`ed.`	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 AI (2) Mingming Gong, Yiliao Song, Yun Sing Koh, Wei Xiang, Derui Wang
2025	J	`jnl`	AdLift: Lifting Adversarial Perturbations to Safeguard 3D Gaussian Splatting Assets Against Instruction-Driven Editing. CoRR Ziming Hong, Tianyu Huang, Runnan Chen, Shanshan Ye, Mingming Gong, Bo Han, Tongliang Liu
2025	J	`jnl`	Adapformer: Adaptive Channel Management for Multivariate Time Series Forecasting. CoRR Yuchen Luo, Xinyu Li, Liuhua Peng, Mingming Gong
2025	J	`jnl`	Admitting Ignorance Helps the Video Question Answering Models to Answer. CoRR Haopeng Li, Tom Drummond, Mingming Gong, Mohammed Bennamoun, Qiuhong Ke
2025	J	`jnl`	Advances in Radiance Field for Dynamic Scene: From Neural Field to Gaussian Field. CoRR Jinlong Fan, Xuepu Zeng, Jing Zhang, Mingming Gong, Yuxiang Yang, Dacheng Tao
2025	J	`jnl`	Agent-Centric Personalized Multiple Clustering with Multi-Modal LLMs. CoRR Ziye Chen, Yiqun Duan, Riheng Zhu, Zhenbang Sun, Mingming Gong
2025	J	`jnl`	Alignclip: navigating the misalignments for robust vision-language generalization. Mach. Learn. Zhongyi Han, Gongxu Luo, Hao Sun, Yaqian Li, Bo Han, Mingming Gong, Kun Zhang, Tongliang Liu
2025	A*	`conf`	Analytic DAG Constraints for Differentiable DAG Learning. ICLR Zhen Zhang, Ignavier Ng, Dong Gong, Yuhang Liu, Mingming Gong, Biwei Huang, Kun Zhang, Anton van den Hengel, Javen Qinfeng Shi
2025	J	`jnl`	Analytic DAG Constraints for Differentiable DAG Learning. CoRR Zhen Zhang, Ignavier Ng, Dong Gong, Yuhang Liu, Mingming Gong, Biwei Huang, Kun Zhang, Anton van den Hengel, Javen Qinfeng Shi
2025	A*	`conf`	Causality-aligned Prompt Learning via Diffusion-based Counterfactual Generation. ACM Multimedia Xinshu Li, Ruoyu Wang, Erdun Gao, Mingming Gong, Lina Yao
2025	J	`jnl`	Causality-aligned Prompt Learning via Diffusion-based Counterfactual Generation. CoRR Xinshu Li, Ruoyu Wang, Erdun Gao, Mingming Gong, Lina Yao
2025	A*	`conf`	DIDiffGes: Decoupled Semi-Implicit Diffusion Models for Real-time Gesture Generation from Speech. AAAI Yongkang Cheng, Shaoli Huang, Xuelin Chen, Jifeng Ning, Mingming Gong
2025	J	`jnl`	DIDiffGes: Decoupled Semi-Implicit Diffusion Models for Real-time Gesture Generation from Speech. CoRR Yongkang Cheng, Shaoli Huang, Xuelin Chen, Jifeng Ning, Mingming Gong
2025	A*	`conf`	DREAM: Document Reconstruction via End-to-end Autoregressive Model. ACM Multimedia Xin Li, Mingming Gong, Yunfei Wu, Jianxin Dai, Antai Guo, Xinghua Jiang, Haoyu Cao, Yinsong Liu, Deqiang Jiang, Xing Sun
2025	J	`jnl`	DREAM: Document Reconstruction via End-to-end Autoregressive Model. CoRR Xin Li, Mingming Gong, Yunfei Wu, Jianxin Dai, Antai Guo, Xinghua Jiang, Haoyu Cao, Yinsong Liu, Deqiang Jiang, Xing Sun
2025	J	`jnl`	DUViN: Diffusion-Based Underwater Visual Navigation via Knowledge-Transferred Depth Features. CoRR Jinghe Yang, Minh-Quan Le, Mingming Gong, Ye Pu
2025	J	`jnl`	Debiased Recommendation via Wasserstein Causal Balancing. ACM Trans. Inf. Syst. Hao Wang, Zhichao Chen, Honglei Zhang, Zhengnan Li, Licheng Pan, Haoxuan Li, Mingming Gong
2025	J	`jnl`	Decentralized Dynamic Cooperation of Personalized Models for Federated Continual Learning. CoRR Danni Yang, Zhikang Chen, Sen Cui, Mengyue Yang, Ding Li, Abudukelimu Wuerkaixi, Haoxuan Li, Jinke Ren, Mingming Gong
2025	J	`jnl`	Detecting Generated Images by Fitting Natural Image Distributions. CoRR Yonggang Zhang, Jun Nie, Xinmei Tian, Mingming Gong, Kun Zhang, Bo Han
2025	A*	`conf`	Enhancing Treatment Effect Estimation via Active Learning: A Counterfactual Covering Perspective. ICML Hechuan Wen, Tong Chen, Mingming Gong, Li Kheng Chai, Shazia Sadiq, Hongzhi Yin
2025	J	`jnl`	Enhancing Treatment Effect Estimation via Active Learning: A Counterfactual Covering Perspective. CoRR Hechuan Wen, Tong Chen, Mingming Gong, Li Kheng Chai, Shazia Sadiq, Hongzhi Yin
2025	J	`jnl`	Estimating the Effects of Sample Training Orders for Large Language Models without Retraining. CoRR Hao Yang, Haoxuan Li, Mengyue Yang, Xu Chen, Mingming Gong
2025	A*	`conf`	Extracting Rare Dependence Patterns via Adaptive Sample Reweighting. ICML Yiqing Li, Yewei Xia, Xiaofei Wang, Zhengming Chen, Liuhua Peng, Mingming Gong, Kun Zhang
2025	J	`jnl`	Federated Generalized Novel Category Discovery with Prompts Tuning. Trans. Mach. Learn. Res. Lei Shen, Nan Pu, Zhun Zhong, Mingming Gong, Dianhai Yu, Chengqi Zhang, Bo Han
2025	J	`jnl`	Hyper3D: Efficient 3D Representation via Hybrid Triplane and Octree Feature for Enhanced 3D Shape Variational Auto-Encoders. CoRR Jingyu Guo, Sensen Gao, Jia-Wang Bian, Wanhu Sun, Heliang Zheng, Rongfei Jia, Mingming Gong
2025	J	`jnl`	I Predict Therefore I Am: Is Next Token Prediction Enough to Learn Human-Interpretable Concepts from Data? CoRR Yuhang Liu, Dong Gong, Erdun Gao, Zhen Zhang, Biwei Huang, Mingming Gong, Anton van den Hengel, Javen Qinfeng Shi
2025	J	`jnl`	Intern-GS: Vision Model Guided Sparse-View 3D Gaussian Splatting. CoRR Xiangyu Sun, Runnan Chen, Mingming Gong, Dong Xu, Tongliang Liu
2025	J	`jnl`	Knowledge Distillation for Underwater Feature Extraction and Matching via GAN-Synthesized Images. IEEE Robotics Autom. Lett. Jinghe Yang, Mingming Gong, Ye Pu
2025	J	`jnl`	Knowledge Distillation for Underwater Feature Extraction and Matching via GAN-synthesized Images. CoRR Jinghe Yang, Mingming Gong, Ye Pu
2025	A*	`conf`	LaVin-DiT: Large Vision Diffusion Transformer. CVPR Zhaoqing Wang, Xiaobo Xia, Runnan Chen, Dongdong Yu, Changhu Wang, Mingming Gong, Tongliang Liu
2025	J	`jnl`	Latent Covariate Shift: Unlocking Partial Identifiability for Multi-Source Domain Adaptation. Trans. Mach. Learn. Res. Yuhang Liu, Zhen Zhang, Dong Gong, Mingming Gong, Biwei Huang, Anton van den Hengel, Kun Zhang, Javen Qinfeng Shi
2025	A*	`conf`	Learning Imbalanced Data with Beneficial Label Noise. ICML Guangzheng Hu, Feng Liu, Mingming Gong, Guanghui Wang, Liuhua Peng
2025	A*	`conf`	LoCA: Location-Aware Cosine Adaptation for Parameter-Efficient Fine-Tuning. ICLR Zhekai Du, Yinjie Min, Jingjing Li, Ke Lu, Changliang Zou, Liuhua Peng, Tingjin Chu, Mingming Gong
2025	J	`jnl`	LoCA: Location-Aware Cosine Adaptation for Parameter-Efficient Fine-Tuning. CoRR Zhekai Du, Yinjie Min, Jingjing Li, Ke Lu, Changliang Zou, Liuhua Peng, Tingjin Chu, Mingming Gong
2025	J	`jnl`	MF-VITON: High-Fidelity Mask-Free Virtual Try-On with Minimal Input. CoRR Zhenchen Wan, Yanwu Xu, Dongting Hu, Weilun Cheng, Tianxi Chen, Zhaoqing Wang, Feng Liu, Tongliang Liu, Mingming Gong
2025	—	`conf`	MFT-VITON: High-Fidelity Virtual Try-On with Minimal Input via a Mask-Free Transformer-Diffusion Model. ICCVW Zhenchen Wan, Yanwu Xu, Dongting Hu, Weilun Cheng, Tianxi Chen, Zhaoqing Wang, Feng Liu, Tongliang Liu, Mingming Gong
2025	J	`jnl`	MLLM-For3D: Adapting Multimodal Large Language Model for 3D Reasoning Segmentation. CoRR Jiaxin Huang, Runnan Chen, Ziwen Li, Zhengqing Gao, Xiao He, Yandong Guo, Mingming Gong, Tongliang Liu
2025	A*	`conf`	MissScore: High-Order Score Estimation in the Presence of Missing Data. ICML Wenqin Liu, Haoze Hou, Erdun Gao, Biwei Huang, Qiuhong Ke, Howard D. Bondell, Mingming Gong
2025	J	`jnl`	Mitigating Hidden Confounding by Progressive Confounder Imputation via Large Language Models. CoRR Hao Yang, Haoxuan Li, Luyu Chen, Haoxiang Wang, Xu Chen, Mingming Gong
2025	—	`conf`	Mitigating Spurious Correlations via Counterfactual Contrastive Learning. EMNLP (Findings) Fengxiang Cheng, Chuan Zhou, Xiang Li, Alina Leidinger, Haoxuan Li, Mingming Gong, Fenrong Liu, Robert van Rooij
2025	J	`jnl`	Multi-Domain Adversarial Variational Bayesian Inference for Domain Generalization. IEEE Trans. Circuits Syst. Video Technol. Zhifan Gao, Saidi Guo, Chenchu Xu, Jinglin Zhang, Mingming Gong, Javier Del Ser, Shuo Li
2025	J	`jnl`	OVGaussian: Generalizable 3D Gaussian Segmentation with Open Vocabularies. CoRR Runnan Chen, Xiangyu Sun, Zhaoqing Wang, Youquan Liu, Jiepeng Wang, Lingdong Kong, Jiankang Deng, Mingming Gong, Liang Pan, Wenping Wang, Tongliang Liu
2025	A*	`conf`	On the Identification of Temporal Causal Representation with Instantaneous Dependence. ICLR Zijian Li, Yifan Shen, Kaitao Zheng, Ruichu Cai, Xiangchen Song, Mingming Gong, Guangyi Chen, Kun Zhang
2025	—	`conf`	OpenInsGaussian: Open-Vocabulary Instance Gaussian Segmentation with Context-Aware Cross-View Fusion. ICCVW Tianyu Huang, Runnan Chen, Dongting Hu, Fengming Huang, Mingming Gong, Tongliang Liu
2025	J	`jnl`	OpenInsGaussian: Open-vocabulary Instance Gaussian Segmentation with Context-aware Cross-view Fusion. CoRR Tianyu Huang, Runnan Chen, Dongting Hu, Fengming Huang, Mingming Gong, Tongliang Liu
2025	A*	`conf`	Optimal Transport for Time Series Imputation. ICLR Hao Wang, Zhengnan Li, Haoxuan Li, Xu Chen, Mingming Gong, BinChen, Zhichao Chen
2025	J	`jnl`	PanoSLAM: Panoptic 3D Scene Reconstruction via Gaussian SLAM. CoRR Runnan Chen, Zhaoqing Wang, Jiepeng Wang, Yuexin Ma, Mingming Gong, Wenping Wang, Tongliang Liu
2025	J	`jnl`	PosA-VLA: Enhancing Action Generation via Pose-Conditioned Anchor Attention. CoRR Ziwen Li, Xin Wang, Hanlue Zhang, Runnan Chen, Runqi Lin, Xiao He, Han Huang, Yandong Guo, Fakhri Karray, Tongliang Liu, Mingming Gong
2025	A*	`conf`	Projection Pursuit Density Ratio Estimation. ICML Meilin Wang, Wei Huang, Mingming Gong, Zheng Zhang
2025	J	`jnl`	Projection Pursuit Density Ratio Estimation. CoRR Meilin Wang, Wei Huang, Mingming Gong, Zheng Zhang
2025	J	`jnl`	ProtoGS: Efficient and High-Quality Rendering with 3D Gaussian Prototypes. CoRR Zhengqing Gao, Dongting Hu, Jia-Wang Bian, Huan Fu, Yan Li, Tongliang Liu, Mingming Gong, Kun Zhang
2025	J	`jnl`	RDSplat: Robust Watermarking Against Diffusion Editing for 3D Gaussian Splatting. CoRR Longjie Zhao, Ziming Hong, Zhenyang Ren, Runnan Chen, Mingming Gong, Tongliang Liu
2025	J	`jnl`	STBA: Towards Evaluating the Robustness of DNNs for Query-Limited Black-Box Scenario. IEEE Trans. Multim. Renyang Liu, Kwok-Yan Lam, Wei Zhou, Sixing Wu, Jun Zhao, Dongting Hu, Mingming Gong
2025	J	`jnl`	SURPRISE3D: A Dataset for Spatial Understanding and Reasoning in Complex 3D Scenes. CoRR Jiaxin Huang, Ziwen Li, Hanlve Zhang, Runnan Chen, Xiao He, Yandong Guo, Wenping Wang, Tongliang Liu, Mingming Gong
2025	J	`jnl`	Safety at Scale: A Comprehensive Survey of Large Model Safety. CoRR 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
2025	J	`jnl`	Safety at Scale: A Comprehensive Survey of Large Model and Agent Safety. Found. Trends Priv. Secur. Xingjun Ma, Yifeng Gao, Yixu Wang, Ruofan Wang, Xin Wang, Ye Sun, Yifan Ding, Hengyuan Xu, Yunhao Chen, Yunhao Zhao, Hanxun Huang, Yige Li, Yutao Wu, Jiaming Zhang, Xiang Zheng, Yang Bai, Yiming Li, Zuxuan Wu, Xipeng Qiu, Jingfeng Zhang, Xudong Han, Haonan 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, Tim Baldwin, Bo Li, Masashi Sugiyama, Dacheng Tao, James Bailey, Yu-Gang Jiang
2025	J	`jnl`	Scaling Beyond Context: A Survey of Multimodal Retrieval-Augmented Generation for Document Understanding. CoRR Sensen Gao, Shanshan Zhao, Xu Jiang, Lunhao Duan, Yong Xien Chng, Qing-Guo Chen, Weihua Luo, Kaifu Zhang, Jia-Wang Bian, Mingming Gong
2025	A*	`conf`	Semantic-guided Cross-Modal Prompt Learning for Skeleton-based Zero-shot Action Recognition. CVPR Anqi Zhu, Jingmin Zhu, James Bailey, Mingming Gong, Qiuhong Ke
2025	J	`jnl`	Semi-Supervised Learning Under General Causal Models. IEEE Trans. Neural Networks Learn. Syst. Archer Moore, Heejung Shim, Jingge Zhu, Mingming Gong
2025	J	`jnl`	Semi-Supervised Learning under General Causal Models. CoRR Archer Moore, Heejung Shim, Jingge Zhu, Mingming Gong
2025	A*	`conf`	SnapGen: Taming High-Resolution Text-to-Image Models for Mobile Devices with Efficient Architectures and Training. CVPR Jierun Chen, Dongting Hu, Xijie Huang, Huseyin Coskun, Arpit Sahni, Aarush Gupta, Anujraaj Goyal, Dishani Lahiri, Rajesh Singh, Yerlan Idelbayev, Junli Cao, Yanyu Li, Kwang-Ting Cheng, S.-H. Gary Chan, Mingming Gong, Sergey Tulyakov, Anil Kag, Yanwu Xu, Jian Ren
2025	A*	`conf`	UNIC-Adapter: Unified Image-instruction Adapter with Multi-modal Transformer for Image Generation. CVPR Lunhao Duan, Shanshan Zhao, Wenjun Yan, Yinglun Li, Qing-Guo Chen, Zhao Xu, Weihua Luo, Kaifu Zhang, Mingming Gong, Gui-Song Xia
2025	J	`jnl`	Universal Synchronization Loss Optimization in DETR-Based Oriented and Rotated Object Detection. IEEE Access Gang Liu, Qingchen Yu, Mingming Gong, Hao Yang
2024	J	`jnl`	3D Scene Creation and Rendering via Rough Meshes: A Lighting Transfer Avenue. IEEE Trans. Pattern Anal. Mach. Intell. Bowen Cai, Yujie Li, Yuqin Liang, Rongfei Jia, Binqiang Zhao, Mingming Gong, Huan Fu
2024	J	`jnl`	A Skewness-Based Criterion for Addressing Heteroscedastic Noise in Causal Discovery. CoRR Yingyu Lin, Yuxing Huang, Wenqin Liu, Haoran Deng, Ignavier Ng, Kun Zhang, Mingming Gong, Yi-An Ma, Biwei Huang
2024	A*	`conf`	A Variational Framework for Estimating Continuous Treatment Effects with Measurement Error. ICLR Erdun Gao, Howard D. Bondell, Wei Huang, Mingming Gong
2024	J	`jnl`	AniFaceDiff: High-Fidelity Face Reenactment via Facial Parametric Conditioned Diffusion Models. CoRR Ken Chen, Sachith Seneviratne, Wei Wang, Dongting Hu, Sanjay Saha, Md. Tarek Hasan, Sanka Rasnayaka, Tamasha Malepathirana, Mingming Gong, Saman K. Halgamuge
2024	J	`jnl`	Answering from Sure to Uncertain: Uncertainty-Aware Curriculum Learning for Video Question Answering. CoRR Haopeng Li, Qiuhong Ke, Mingming Gong, Tom Drummond
2024	J	`jnl`	CT4D: Consistent Text-to-4D Generation with Animatable Meshes. CoRR Ce Chen, Shaoli Huang, Xuelin Chen, Guangyi Chen, Xiaoguang Han, Kun Zhang, Mingming Gong
2024	—	`conf`	Causal Discovery with Mixed Linear and Nonlinear Additive Noise Models: A Scalable Approach. CLeaR Wenqin Liu, Biwei Huang, Erdun Gao, Qiuhong Ke, Howard D. Bondell, Mingming Gong
2024	J	`jnl`	Causal-learn: Causal Discovery in Python. J. Mach. Learn. Res. Yujia Zheng, Biwei Huang, Wei Chen, Joseph D. Ramsey, Mingming Gong, Ruichu Cai, Shohei Shimizu, Peter Spirtes, Kun Zhang
2024	J	`jnl`	Collaborative compensative transformer network for salient object detection. Pattern Recognit. Jun Chen, Heye Zhang, Mingming Gong, Zhifan Gao
2024	J	`jnl`	Convex-Concave Tensor Robust Principal Component Analysis. Int. J. Comput. Vis. Youfa Liu, Bo Du, Yongyong Chen, Lefei Zhang, Mingming Gong, Dacheng Tao
2024	J	`jnl`	Deep Reinforcement Learning-based scheduling for optimizing system load and response time in edge and fog computing environments. Future Gener. Comput. Syst. Zhiyu Wang, Mohammad Goudarzi, Mingming Gong, Rajkumar Buyya
2024	A*	`conf`	Discovery of the Hidden World with Large Language Models. NeurIPS Chenxi Liu, Yongqiang Chen, Tongliang Liu, Mingming Gong, James Cheng, Bo Han, Kun Zhang
2024	J	`jnl`	Discovery of the Hidden World with Large Language Models. CoRR Chenxi Liu, Yongqiang Chen, Tongliang Liu, Mingming Gong, James Cheng, Bo Han, Kun Zhang
2024	J	`jnl`	Efficient Neural Implicit Representation for 3D Human Reconstruction. CoRR Zexu Huang, Sarah Monazam Erfani, Siying Lu, Mingming Gong
2024	J	`jnl`	Efficient neural implicit representation for 3D human reconstruction. Pattern Recognit. Zexu Huang, Sarah Monazam Erfani, Siying Lu, Mingming Gong
2024	A*	`conf`	Enhancing Visual Document Understanding with Contrastive Learning in Large Visual-Language Models. CVPR Xin Li, Yunfei Wu, Xinghua Jiang, Zhihao Guo, Mingming Gong, Haoyu Cao, Yinsong Liu, Deqiang Jiang, Xing Sun
2024	J	`jnl`	Enhancing Visual Document Understanding with Contrastive Learning in Large Visual-Language Models. CoRR Xin Li, Yunfei Wu, Xinghua Jiang, Zhihao Guo, Mingming Gong, Haoyu Cao, Yinsong Liu, Deqiang Jiang, Xing Sun
2024	Misc	`conf`	FreeTalker: Controllable Speech and Text-Driven Gesture Generation Based on Diffusion Models for Enhanced Speaker Naturalness. ICASSP Sicheng Yang, Zunnan Xu, Haiwei Xue, Yongkang Cheng, Shaoli Huang, Mingming Gong, Zhiyong Wu
2024	J	`jnl`	Freetalker: Controllable Speech and Text-Driven Gesture Generation Based on Diffusion Models for Enhanced Speaker Naturalness. CoRR Sicheng Yang, Zunnan Xu, Haiwei Xue, Yongkang Cheng, Shaoli Huang, Mingming Gong, Zhiyong Wu
2024	A*	`conf`	Grab What You Need: Rethinking Complex Table Structure Recognition with Flexible Components Deliberation. AAAI Hao Liu, Xin Li, Mingming Gong, Bing Liu, Yunfei Wu, Deqiang Jiang, Yinsong Liu, Xing Sun
2024	A*	`conf`	HuTuMotion: Human-Tuned Navigation of Latent Motion Diffusion Models with Minimal Feedback. AAAI Gaoge Han, Shaoli Huang, Mingming Gong, Jinglei Tang
2024	A*	`conf`	Identifiability Analysis of Linear ODE Systems with Hidden Confounders. NeurIPS Yuanyuan Wang, Biwei Huang, Wei Huang, Xi Geng, Mingming Gong
2024	J	`jnl`	Identifiability Analysis of Linear ODE Systems with Hidden Confounders. CoRR Yuanyuan Wang, Biwei Huang, Wei Huang, Xi Geng, Mingming Gong
2024	J	`jnl`	Identifiability and Asymptotics in Learning Homogeneous Linear ODE Systems from Discrete Observations. J. Mach. Learn. Res. Yuanyuan Wang, Wei Huang, Mingming Gong, Xi Geng, Tongliang Liu, Kun Zhang, Dacheng Tao
2024	J	`jnl`	Identifiable Latent Neural Causal Models. CoRR Yuhang Liu, Zhen Zhang, Dong Gong, Mingming Gong, Biwei Huang, Anton van den Hengel, Kun Zhang, Javen Qinfeng Shi
2024	A*	`conf`	Identifiable Latent Polynomial Causal Models through the Lens of Change. ICLR Yuhang Liu, Zhen Zhang, Dong Gong, Mingming Gong, Biwei Huang, Anton van den Hengel, Kun Zhang, Javen Qinfeng Shi
2024	A*	`conf`	Improving Non-Transferable Representation Learning by Harnessing Content and Style. ICLR Ziming Hong, Zhenyi Wang, Li Shen, Yu Yao, Zhuo Huang, Shiming Chen, Chuanwu Yang, Mingming Gong, Tongliang Liu
2024	A*	`conf`	In-N-Out: Lifting 2D Diffusion Prior for 3D Object Removal via Tuning-Free Latents Alignment. NeurIPS Dongting Hu, Huan Fu, Jiaxian Guo, Liuhua Peng, Tingjin Chu, Feng Liu, Tongliang Liu, Mingming Gong
2024	A*	`conf`	Interventional Fairness on Partially Known Causal Graphs: A Constrained Optimization Approach. ICLR Aoqi Zuo, Yiqing Li, Susan Wei, Mingming Gong
2024	J	`jnl`	Interventional Fairness on Partially Known Causal Graphs: A Constrained Optimization Approach. CoRR Aoqi Zuo, Yiqing Li, Susan Wei, Mingming Gong
2024	J	`jnl`	LaVin-DiT: Large Vision Diffusion Transformer. CoRR Zhaoqing Wang, Xiaobo Xia, Runnan Chen, Dongdong Yu, Changhu Wang, Mingming Gong, Tongliang Liu
2024	A	`conf`	Learning Transferable Representations for Image Anomaly Localization Using Dense Pretraining. WACV Haitian He, Sarah M. Erfani, Mingming Gong, Qiuhong Ke
2024	A*	`conf`	Neural Collapse Inspired Feature Alignment for Out-of-Distribution Generalization. NeurIPS Zhikang Chen, Min Zhang, Sen Cui, Haoxuan Li, Gang Niu, Mingming Gong, Changshui Zhang, Kun Zhang
2024	J	`jnl`	On Causality in Domain Adaptation and Semi-Supervised Learning: an Information-Theoretic Analysis for Parametric Models. J. Mach. Learn. Res. Xuetong Wu, Mingming Gong, Jonathan H. Manton, Uwe Aickelin, Jingge Zhu
2024	J	`jnl`	On the Identification of Temporally Causal Representation with Instantaneous Dependence. CoRR Zijian Li, Yifan Shen, Kaitao Zheng, Ruichu Cai, Xiangchen Song, Mingming Gong, Zhifeng Hao, Zhengmao Zhu, Guangyi Chen, Kun Zhang
2024	A*	`conf`	On the Recoverability of Causal Relations from Temporally Aggregated I.I.D. Data. ICML Shunxing Fan, Mingming Gong, Kun Zhang
2024	J	`jnl`	On the Recoverability of Causal Relations from Temporally Aggregated I.I.D. Data. CoRR Shunxing Fan, Mingming Gong, Kun Zhang
2024	J	`jnl`	Open-Vocabulary Segmentation with Unpaired Mask-Text Supervision. CoRR Zhaoqing Wang, Xiaobo Xia, Ziye Chen, Xiao He, Yandong Guo, Mingming Gong, Tongliang Liu
2024	A*	`conf`	Optimal Kernel Choice for Score Function-based Causal Discovery. ICML Wenjie Wang, Biwei Huang, Feng Liu, Xinge You, Tongliang Liu, Kun Zhang, Mingming Gong
2024	J	`jnl`	Optimal Kernel Choice for Score Function-based Causal Discovery. CoRR Wenjie Wang, Biwei Huang, Feng Liu, Xinge You, Tongliang Liu, Kun Zhang, Mingming Gong
2024	A*	`conf`	Part-Aware Unified Representation of Language and Skeleton for Zero-Shot Action Recognition. CVPR Anqi Zhu, Qiuhong Ke, Mingming Gong, James Bailey
2024	J	`jnl`	Part-aware Unified Representation of Language and Skeleton for Zero-shot Action Recognition. CoRR Anqi Zhu, Qiuhong Ke, Mingming Gong, James Bailey
2024	—	`conf`	Physics-Informed Knowledge Transfer for Underwater Monocular Depth Estimation. ECCV (71) Jinghe Yang, Mingming Gong, Ye Pu
2024	J	`jnl`	Rethinking State Disentanglement in Causal Reinforcement Learning. CoRR Haiyao Cao, Zhen Zhang, Panpan Cai, Yuhang Liu, Jinan Zou, Ehsan Abbasnejad, Biwei Huang, Mingming Gong, Anton van den Hengel, Javen Qinfeng Shi
2024	J	`jnl`	Revealing Multimodal Contrastive Representation Learning through Latent Partial Causal Models. CoRR Yuhang Liu, Zhen Zhang, Dong Gong, Biwei Huang, Mingming Gong, Anton van den Hengel, Kun Zhang, Javen Qinfeng Shi
2024	J	`jnl`	Revisit Non-parametric Two-sample Testing as a Semi-supervised Learning Problem. CoRR Xunye Tian, Liuhua Peng, Zhijian Zhou, Mingming Gong, Feng Liu
2024	J	`jnl`	STBA: Towards Evaluating the Robustness of DNNs for Query-Limited Black-box Scenario. CoRR Renyang Liu, Kwok-Yan Lam, Wei Zhou, Sixing Wu, Jun Zhao, Dongting Hu, Mingming Gong
2024	A*	`conf`	Self-Distilled Disentangled Learning for Counterfactual Prediction. KDD Xinshu Li, Mingming Gong, Lina Yao
2024	J	`jnl`	Self-Distilled Disentangled Learning for Counterfactual Prediction. CoRR Xinshu Li, Mingming Gong, Lina Yao
2024	J	`jnl`	SnapGen: Taming High-Resolution Text-to-Image Models for Mobile Devices with Efficient Architectures and Training. CoRR 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
2024	J	`jnl`	Style Interleaved Learning for Generalizable Person Re-Identification. IEEE Trans. Multim. Wentao Tan, Changxing Ding, Pengfei Wang, Mingming Gong, Kui Jia
2024	J	`jnl`	TED-VITON: Transformer-Empowered Diffusion Models for Virtual Try-On. CoRR Zhenchen Wan, Yanwu Xu, Zhaoqing Wang, Feng Liu, Tongliang Liu, Mingming Gong
2024	J	`jnl`	Training-Free Robust Interactive Video Object Segmentation. CoRR Xiaoli Wei, Zhaoqing Wang, Yandong Guo, Chunxia Zhang, Tongliang Liu, Mingming Gong
2024	J	`jnl`	UNIC-Adapter: Unified Image-instruction Adapter with Multi-modal Transformer for Image Generation. CoRR Lunhao Duan, Shanshan Zhao, Wenjun Yan, Yinglun Li, Qing-Guo Chen, Zhao Xu, Weihua Luo, Kaifu Zhang, Mingming Gong, Gui-Song Xia
2024	J	`jnl`	Uncertainty Quantification in Stereo Matching. CoRR Wenxiao Cai, Dongting Hu, Ruoyan Yin, Jiankang Deng, Huan Fu, Wankou Yang, Mingming Gong
2024	J	`jnl`	Urban4D: Semantic-Guided 4D Gaussian Splatting for Urban Scene Reconstruction. CoRR Ziwen Li, Jiaxin Huang, Runnan Chen, Yunlong Che, Yandong Guo, Tongliang Liu, Fakhri Karray, Mingming Gong
2023	A	`conf`	Adaptive Local-Component-aware Graph Convolutional Network for One-shot Skeleton-based Action Recognition. WACV Anqi Zhu, Qiuhong Ke, Mingming Gong, James Bailey
2023	J	`jnl`	An Efficient Transformer for Simultaneous Learning of BEV and Lane Representations in 3D Lane Detection. CoRR Ziye Chen, Kate Smith-Miles, Bo Du, Guoqi Qian, Mingming Gong
2023	J	`jnl`	CLIP3Dstyler: Language Guided 3D Arbitrary Neural Style Transfer. CoRR Ming Gao, Yanwu Xu, Yang Zhao, Tingbo Hou, Chenkai Zhao, Mingming Gong
2023	A*	`conf`	CS-Isolate: Extracting Hard Confident Examples by Content and Style Isolation. NeurIPS Yexiong Lin, Yu Yao, Xiaolong Shi, Mingming Gong, Xu Shen, Dong Xu, Tongliang Liu
2023	J	`jnl`	Causal-learn: Causal Discovery in Python. CoRR Yujia Zheng, Biwei Huang, Wei Chen, Joseph D. Ramsey, Mingming Gong, Ruichu Cai, Shohei Shimizu, Peter Spirtes, Kun Zhang
2023	A*	`conf`	Combating Noisy Labels with Sample Selection by Mining High-Discrepancy Examples. ICCV Xiaobo Xia, Bo Han, Yibing Zhan, Jun Yu, Mingming Gong, Chen Gong, Tongliang Liu
2023	A*	`conf`	ConDaFormer: Disassembled Transformer with Local Structure Enhancement for 3D Point Cloud Understanding. NeurIPS Lunhao Duan, Shanshan Zhao, Nan Xue, Mingming Gong, Gui-Song Xia, Dacheng Tao
2023	J	`jnl`	ConDaFormer: Disassembled Transformer with Local Structure Enhancement for 3D Point Cloud Understanding. CoRR Lunhao Duan, Shanshan Zhao, Nan Xue, Mingming Gong, Gui-Song Xia, Dacheng Tao
2023	J	`jnl`	Deep Corner. Int. J. Comput. Vis. Shanshan Zhao, Mingming Gong, Haimei Zhao, Jing Zhang, Dacheng Tao
2023	J	`jnl`	Deep Learning Is Singular, and That's Good. IEEE Trans. Neural Networks Learn. Syst. Susan Wei, Daniel Murfet, Mingming Gong, Hui Li, Jesse Gell-Redman, Thomas Quella
2023	J	`jnl`	Deep Reinforcement Learning-based Scheduling in Edge and Fog Computing Environments. CoRR Zhiyu Wang, Mohammad Goudarzi, Mingming Gong, Rajkumar Buyya
2023	A*	`conf`	Diversity-enhancing Generative Network for Few-shot Hypothesis Adaptation. ICML Ruijiang Dong, Feng Liu, Haoang Chi, Tongliang Liu, Mingming Gong, Gang Niu, Masashi Sugiyama, Bo Han
2023	J	`jnl`	Diversity-enhancing Generative Network for Few-shot Hypothesis Adaptation. CoRR Ruijiang Dong, Feng Liu, Haoang Chi, Tongliang Liu, Mingming Gong, Gang Niu, Masashi Sugiyama, Bo Han
2023	Misc	`conf`	Enhancing Night-to-Day Image Translation with Semantic Prior and Reference Image Guidance. ADC Junzhi Ning, Mingming Gong
2023	J	`jnl`	FedDAG: Federated DAG Structure Learning. Trans. Mach. Learn. Res. Erdun Gao, Junjia Chen, Li Shen, Tongliang Liu, Mingming Gong, Howard D. Bondell
2023	A*	`conf`	Generating Dynamic Kernels via Transformers for Lane Detection. ICCV Ziye Chen, Yu Liu, Mingming Gong, Bo Du, Guoqi Qian, Kate Smith-Miles
2023	A*	`conf`	Generator Identification for Linear SDEs with Additive and Multiplicative Noise. NeurIPS Yuanyuan Wang, Xi Geng, Wei Huang, Biwei Huang, Mingming Gong
2023	J	`jnl`	Generator Identification for Linear SDEs with Additive and Multiplicative Noise. CoRR Yuanyuan Wang, Xi Geng, Wei Huang, Biwei Huang, Mingming Gong
2023	J	`jnl`	Grab What You Need: Rethinking Complex Table Structure Recognition with Flexible Components Deliberation. CoRR Hao Liu, Xin Li, Mingming Gong, Bing Liu, Yunfei Wu, Deqiang Jiang, Yinsong Liu, Xing Sun
2023	A*	`conf`	Harnessing Out-Of-Distribution Examples via Augmenting Content and Style. ICLR Zhuo Huang, Xiaobo Xia, Li Shen, Bo Han, Mingming Gong, Chen Gong, Tongliang Liu
2023	J	`jnl`	HuTuMotion: Human-Tuned Navigation of Latent Motion Diffusion Models with Minimal Feedback. CoRR Gaoge Han, Shaoli Huang, Mingming Gong, Jinglei Tang
2023	J	`jnl`	Identifiable Latent Polynomial Causal Models Through the Lens of Change. CoRR Yuhang Liu, Zhen Zhang, Dong Gong, Mingming Gong, Biwei Huang, Anton van den Hengel, Kun Zhang, Javen Qinfeng Shi
2023	J	`jnl`	Instrumental Variable-Driven Domain Generalization with Unobserved Confounders. ACM Trans. Knowl. Discov. Data Junkun Yuan, Xu Ma, Ruoxuan Xiong, Mingming Gong, Xiangyu Liu, Fei Wu, Lanfen Lin, Kun Kuang
2023	A*	`conf`	Knowledge Distillation for Feature Extraction in Underwater VSLAM. ICRA Jinghe Yang, Mingming Gong, Girish Nair, Jung Hoon Lee, Jason Monty, Ye Pu
2023	J	`jnl`	Knowledge Distillation for Feature Extraction in Underwater VSLAM. CoRR Jinghe Yang, Mingming Gong, Girish Nair, Jung Hoon Lee, Jason Monty, Ye Pu
2023	A*	`conf`	Learning World Models with Identifiable Factorization. NeurIPS Yuren Liu, Biwei Huang, Zhengmao Zhu, Hong-Long Tian, Mingming Gong, Yang Yu, Kun Zhang
2023	J	`jnl`	Learning World Models with Identifiable Factorization. CoRR Yu-Ren Liu, Biwei Huang, Zheng-Mao Zhu, Hong-Long Tian, Mingming Gong, Yang Yu, Kun Zhang
2023	A*	`conf`	Mosaic Representation Learning for Self-supervised Visual Pre-training. ICLR Zhaoqing Wang, Ziyu Chen, Yaqian Li, Yandong Guo, Jun Yu, Mingming Gong, Tongliang Liu
2023	A*	`conf`	Multi-domain image generation and translation with identifiability guarantees. ICLR Shaoan Xie, Lingjing Kong, Mingming Gong, Kun Zhang
2023	A*	`conf`	Multiscale Representation for Real-Time Anti-Aliasing Neural Rendering. ICCV Dongting Hu, Zhenkai Zhang, Tingbo Hou, Tongliang Liu, Huan Fu, Mingming Gong
2023	J	`jnl`	Multiscale Representation for Real-Time Anti-Aliasing Neural Rendering. CoRR Dongting Hu, Zhenkai Zhang, Tingbo Hou, Tongliang Liu, Huan Fu, Mingming Gong
2023	A	`conf`	Progressive Video Summarization via Multimodal Self-supervised Learning. WACV Haopeng Li, Qiuhong Ke, Mingming Gong, Tom Drummond
2023	A*	`conf`	Semi-Implicit Denoising Diffusion Models (SIDDMs). NeurIPS Yanwu Xu, Mingming Gong, Shaoan Xie, Wei Wei, Matthias Grundmann, Kayhan Batmanghelich, Tingbo Hou
2023	J	`jnl`	Semi-Implicit Denoising Diffusion Models (SIDDMs). CoRR Yanwu Xu, Mingming Gong, Shaoan Xie, Wei Wei, Matthias Grundmann, Kayhan Batmanghelich, Tingbo Hou
2023	J	`jnl`	Uncertainty-Aware Clustering for Unsupervised Domain Adaptive Object Re-Identification. IEEE Trans. Multim. Pengfei Wang, Changxing Ding, Wentao Tan, Mingming Gong, Kui Jia, Dacheng Tao
2023	A*	`conf`	Unpaired Image-to-Image Translation with Shortest Path Regularization. CVPR Shaoan Xie, Yanwu Xu, Mingming Gong, Kun Zhang
2023	J	`jnl`	Video Joint Modelling Based on Hierarchical Transformer for Co-Summarization. IEEE Trans. Pattern Anal. Mach. Intell. Haopeng Li, Qiuhong Ke, Mingming Gong, Rui Zhang
2023	A*	`conf`	Which is Better for Learning with Noisy Labels: The Semi-supervised Method or Modeling Label Noise? ICML Yu Yao, Mingming Gong, Yuxuan Du, Jun Yu, Bo Han, Kun Zhang, Tongliang Liu
2022	J	`jnl`	3D Scene Creation and Rendering via Rough Meshes: A Lighting Transfer Avenue. CoRR Yujie Li, Bowen Cai, Yuqin Liang, Rongfei Jia, Binqiang Zhao, Mingming Gong, Huan Fu
2022	A*	`conf`	A Relational Intervention Approach for Unsupervised Dynamics Generalization in Model-Based Reinforcement Learning. ICLR Jiaxian Guo, Mingming Gong, Dacheng Tao
2022	J	`jnl`	A Relational Intervention Approach for Unsupervised Dynamics Generalization in Model-Based Reinforcement Learning. CoRR Jixian Guo, Mingming Gong, Dacheng Tao
2022	J	`jnl`	A Unified B-Spline Framework for Scale-Invariant Keypoint Detection. Int. J. Comput. Vis. Qi Zheng, Mingming Gong, Xinge You, Dacheng Tao
2022	J	`jnl`	Adaptive Edge-to-Edge Interaction Learning for Point Cloud Analysis. CoRR Shanshan Zhao, Mingming Gong, Xi Li, Dacheng Tao
2022	J	`jnl`	Adaptive Local-Component-aware Graph Convolutional Network for One-shot Skeleton-based Action Recognition. CoRR Anqi Zhu, Qiuhong Ke, Mingming Gong, James Bailey
2022	—	`conf`	Adversarial Consistency for Single Domain Generalization in Medical Image Segmentation. MICCAI (8) Yanwu Xu, Shaoan Xie, Maxwell Reynolds, Matthew Ragoza, Mingming Gong, Kayhan Batmanghelich
2022	J	`jnl`	Adversarial Consistency for Single Domain Generalization in Medical Image Segmentation. CoRR Yanwu Xu, Shaoan Xie, Maxwell Reynolds, Matthew Ragoza, Mingming Gong, Kayhan Batmanghelich
2022	A*	`conf`	Adversarial Robustness Through the Lens of Causality. ICLR Yonggang Zhang, Mingming Gong, Tongliang Liu, Gang Niu, Xinmei Tian, Bo Han, Bernhard Schölkopf, Kun Zhang
2022	J	`jnl`	Adversarial UV-Transformation Texture Estimation for 3D Face Aging. IEEE Trans. Circuits Syst. Video Technol. Yiqiang Wu, Ruxin Wang, Mingming Gong, Jun Cheng, Zhengtao Yu, Dapeng Tao
2022	A*	`conf`	Alleviating Semantics Distortion in Unsupervised Low-Level Image-to-Image Translation via Structure Consistency Constraint. CVPR Jiaxian Guo, Jiachen Li, Huan Fu, Mingming Gong, Kun Zhang, Dacheng Tao
2022	A*	`conf`	CRIS: CLIP-Driven Referring Image Segmentation. CVPR Zhaoqing Wang, Yu Lu, Qiang Li, Xunqiang Tao, Yandong Guo, Mingming Gong, Tongliang Liu
2022	A*	`conf`	Counterfactual Fairness with Partially Known Causal Graph. NeurIPS Aoqi Zuo, Susan Wei, Tongliang Liu, Bo Han, Kun Zhang, Mingming Gong
2022	J	`jnl`	Counterfactual Fairness with Partially Known Causal Graph. CoRR Aoqi Zuo, Susan Wei, Tongliang Liu, Bo Han, Kun Zhang, Mingming Gong
2022	J	`jnl`	Detecting Deepfake by Creating Spatio-Temporal Regularity Disruption. CoRR Jiazhi Guan, Hang Zhou, Mingming Gong, Youjian Zhao, Errui Ding, Jingdong Wang
2022	—	`conf`	Digging into Radiance Grid for Real-Time View Synthesis with Detail Preservation. ECCV (15) Jian Zhang, Jinchi Huang, Bowen Cai, Huan Fu, Mingming Gong, Chaohui Wang, Jiaming Wang, Hongchen Luo, Rongfei Jia, Binqiang Zhao, Xing Tang
2022	J	`jnl`	Do We Need to Penalize Variance of Losses for Learning with Label Noise? CoRR Yexiong Lin, Yu Yao, Yuxuan Du, Jun Yu, Bo Han, Mingming Gong, Tongliang Liu
2022	A*	`conf`	Exploring Set Similarity for Dense Self-supervised Representation Learning. CVPR Zhaoqing Wang, Qiang Li, Guoxin Zhang, Pengfei Wan, Wen Zheng, Nannan Wang, Mingming Gong, Tongliang Liu
2022	—	`conf`	Fair Classification with Instance-dependent Label Noise. CLeaR Songhua Wu, Mingming Gong, Bo Han, Yang Liu, Tongliang Liu
2022	A*	`conf`	Few-Shot Font Generation by Learning Fine-Grained Local Styles. CVPR Licheng Tang, Yiyang Cai, Jiaming Liu, Zhibin Hong, Mingming Gong, Minhu Fan, Junyu Han, Jingtuo Liu, Errui Ding, Jingdong Wang
2022	J	`jnl`	Few-Shot Font Generation by Learning Fine-Grained Local Styles. CoRR Licheng Tang, Yiyang Cai, Jiaming Liu, Zhibin Hong, Mingming Gong, Minhu Fan, Junyu Han, Jingtuo Liu, Errui Ding, Jingdong Wang
2022	J	`jnl`	Harnessing Out-Of-Distribution Examples via Augmenting Content and Style. CoRR Zhuo Huang, Xiaobo Xia, Li Shen, Bo Han, Mingming Gong, Chen Gong, Tongliang Liu
2022	J	`jnl`	Hierarchical Amortized GAN for 3D High Resolution Medical Image Synthesis. IEEE J. Biomed. Health Informatics Li Sun, Junxiang Chen, Yanwu Xu, Mingming Gong, Ke Yu, Kayhan Batmanghelich
2022	J	`jnl`	Identifiability and Asymptotics in Learning Homogeneous Linear ODE Systems from Discrete Observations. CoRR Yuanyuan Wang, Wei Huang, Mingming Gong, Xi Geng, Tongliang Liu, Kun Zhang, Dacheng Tao
2022	J	`jnl`	Identifying Latent Causal Content for Multi-Source Domain Adaptation. CoRR Yuhang Liu, Zhen Zhang, Dong Gong, Mingming Gong, Biwei Huang, Kun Zhang, Javen Qinfeng Shi
2022	J	`jnl`	Learning multi-level weight-centric features for few-shot learning. Pattern Recognit. Mingjiang Liang, Shaoli Huang, Shirui Pan, Mingming Gong, Wei Liu
2022	A*	`conf`	MP2: A Momentum Contrast Approach for Recommendation with Pointwise and Pairwise Learning. SIGIR Menghan Wang, Yuchen Guo, Zhenqi Zhao, Guangzheng Hu, Yuming Shen, Mingming Gong, Philip H. S. Torr
2022	J	`jnl`	MP2: A Momentum Contrast Approach for Recommendation with Pointwise and Pairwise Learning. CoRR Menghan Wang, Yuchen Guo, Zhenqi Zhao, Guangzheng Hu, Yuming Shen, Mingming Gong, Philip H. S. Torr
2022	J	`jnl`	Machine learning (ML)-centric resource management in cloud computing: A review and future directions. J. Netw. Comput. Appl. Tahseen Khan, Wenhong Tian, Guangyao Zhou, Shashikant Ilager, Mingming Gong, Rajkumar Buyya
2022	A*	`conf`	Maximum Spatial Perturbation Consistency for Unpaired Image-to-Image Translation. CVPR Yanwu Xu, Shaoan Xie, Wenhao Wu, Kun Zhang, Mingming Gong, Kayhan Batmanghelich
2022	J	`jnl`	Maximum Spatial Perturbation Consistency for Unpaired Image-to-Image Translation. CoRR Yanwu Xu, Shaoan Xie, Wenhao Wu, Kun Zhang, Mingming Gong, Kayhan Batmanghelich
2022	J	`jnl`	MetaComp: Learning to Adapt for Online Depth Completion. CoRR Yang Chen, Shanshan Zhao, Wei Ji, Mingming Gong, Liping Xie
2022	A*	`conf`	MissDAG: Causal Discovery in the Presence of Missing Data with Continuous Additive Noise Models. NeurIPS Erdun Gao, Ignavier Ng, Mingming Gong, Li Shen, Wei Huang, Tongliang Liu, Kun Zhang, Howard D. Bondell
2022	J	`jnl`	MissDAG: Causal Discovery in the Presence of Missing Data with Continuous Additive Noise Models. CoRR Erdun Gao, Ignavier Ng, Mingming Gong, Li Shen, Wei Huang, Tongliang Liu, Kun Zhang, Howard D. Bondell
2022	J	`jnl`	On Causality in Domain Adaptation and Semi-Supervised Learning: an Information-Theoretic Analysis. CoRR Xuetong Wu, Mingming Gong, Jonathan H. Manton, Uwe Aickelin, Jingge Zhu
2022	J	`jnl`	On the Sparse DAG Structure Learning Based on Adaptive Lasso. CoRR Danru Xu, Erdun Gao, Wei Huang, Mingming Gong
2022	—	`conf`	Research on ultra-wideband (UWB) indoor accurate positioning technology under signal interference. iThings/GreenCom/CPSCom/SmartData/Cybermatics Mingming Gong, Zhiyang Li, Wuyungerile Li
2022	A*	`conf`	Rethinking Class-Prior Estimation for Positive-Unlabeled Learning. ICLR Yu Yao, Tongliang Liu, Bo Han, Mingming Gong, Gang Niu, Masashi Sugiyama, Dacheng Tao
2022	A*	`conf`	Robust Weight Perturbation for Adversarial Training. IJCAI Chaojian Yu, Bo Han, Mingming Gong, Li Shen, Shiming Ge, Bo Du, Tongliang Liu
2022	J	`jnl`	Robust Weight Perturbation for Adversarial Training. CoRR Chaojian Yu, Bo Han, Mingming Gong, Li Shen, Shiming Ge, Bo Du, Tongliang Liu
2022	A*	`conf`	Sample Selection with Uncertainty of Losses for Learning with Noisy Labels. ICLR Xiaobo Xia, Tongliang Liu, Bo Han, Mingming Gong, Jun Yu, Gang Niu, Masashi Sugiyama
2022	A*	`conf`	Sample-Efficient Kernel Mean Estimator with Marginalized Corrupted Data. KDD Xiaobo Xia, Shuo Shan, Mingming Gong, Nannan Wang, Fei Gao, Haikun Wei, Tongliang Liu
2022	J	`jnl`	Strength-Adaptive Adversarial Training. CoRR Chaojian Yu, Dawei Zhou, Li Shen, Jun Yu, Bo Han, Mingming Gong, Nannan Wang, Tongliang Liu
2022	J	`jnl`	Style Interleaved Learning for Generalizable Person Re-identification. CoRR Wentao Tan, Pengfei Wang, Changxing Ding, Mingming Gong, Kui Jia
2022	J	`jnl`	TCFimt: Temporal Counterfactual Forecasting from Individual Multiple Treatment Perspective. CoRR Pengfei Xi, Guifeng Wang, Zhipeng Hu, Yu Xiong, Mingming Gong, Wei Huang, Runze Wu, Yu Ding, Tangjie Lv, Changjie Fan, Xiangnan Feng
2022	A*	`conf`	Truncated Matrix Power Iteration for Differentiable DAG Learning. NeurIPS Zhen Zhang, Ignavier Ng, Dong Gong, Yuhang Liu, Ehsan Abbasnejad, Mingming Gong, Kun Zhang, Javen Qinfeng Shi
2022	J	`jnl`	Truncated Matrix Power Iteration for Differentiable DAG Learning. CoRR Zhen Zhang, Ignavier Ng, Dong Gong, Yuhang Liu, M. Ehsan Abbasnejad, Mingming Gong, Kun Zhang, Javen Qinfeng Shi
2022	—	`conf`	Uncertainty Quantification in Depth Estimation via Constrained Ordinal Regression. ECCV (2) Dongting Hu, Liuhua Peng, Tingjin Chu, Xiaoxing Zhang, Yinian Mao, Howard D. Bondell, Mingming Gong
2022	A*	`conf`	Understanding Robust Overfitting of Adversarial Training and Beyond. ICML Chaojian Yu, Bo Han, Li Shen, Jun Yu, Chen Gong, Mingming Gong, Tongliang Liu
2022	J	`jnl`	Understanding Robust Overfitting of Adversarial Training and Beyond. CoRR Chaojian Yu, Bo Han, Li Shen, Jun Yu, Chen Gong, Mingming Gong, Tongliang Liu
2022	J	`jnl`	Video Summarization Based on Video-text Modelling. CoRR Haopeng Li, Qiuhong Ke, Mingming Gong, Rui Zhang
2022	J	`jnl`	Weight-variant Latent Causal Models. CoRR Yuhang Liu, Zhen Zhang, Dong Gong, Mingming Gong, Biwei Huang, Anton van den Hengel, Kun Zhang, Javen Qinfeng Shi
2021	J	`jnl`	3D-FUTURE: 3D Furniture Shape with TextURE. Int. J. Comput. Vis. Huan Fu, Rongfei Jia, Lin Gao, Mingming Gong, Binqiang Zhao, Stephen J. Maybank, Dacheng Tao
2021	J	`jnl`	Adaptive Context-Aware Multi-Modal Network for Depth Completion. IEEE Trans. Image Process. Shanshan Zhao, Mingming Gong, Huan Fu, Dacheng Tao
2021	J	`jnl`	Adversarial Robustness through the Lens of Causality. CoRR Yonggang Zhang, Mingming Gong, Tongliang Liu, Gang Niu, Xinmei Tian, Bo Han, Bernhard Schölkopf, Kun Zhang
2021	J	`jnl`	Box-Adapt: Domain-Adaptive Medical Image Segmentation using Bounding BoxSupervision. CoRR Yanwu Xu, Mingming Gong, Shaoan Xie, Kayhan Batmanghelich
2021	J	`jnl`	CRIS: CLIP-Driven Referring Image Segmentation. CoRR Zhaoqing Wang, Yu Lu, Qiang Li, Xunqiang Tao, Yandong Guo, Mingming Gong, Tongliang Liu
2021	A*	`conf`	Class2Simi: A Noise Reduction Perspective on Learning with Noisy Labels. ICML Songhua Wu, Xiaobo Xia, Tongliang Liu, Bo Han, Mingming Gong, Nannan Wang, Haifeng Liu, Gang Niu
2021	—	`conf`	Disentangled Feature Network for Fine-Grained Recognition. ICONIP (2) Shuyu Miao, Shuaicheng Li, Lin Zheng, Wei Yu, Jingjing Liu, Mingming Gong, Rui Feng
2021	A*	`conf`	Domain Adaptation with Invariant Representation Learning: What Transformations to Learn? NeurIPS Petar Stojanov, Zijian Li, Mingming Gong, Ruichu Cai, Jaime G. Carbonell, Kun Zhang
2021	A	`conf`	Dual-Regularization Complementary Learning for Image Classification. ICME Lingjuan Ge, Mingming Gong, Yutian Lin, Bo Du
2021	J	`jnl`	Dynamic Joint Distribution Alignment Network for Bearing Fault Diagnosis Under Variable Working Conditions. IEEE Trans. Instrum. Meas. Changqing Shen, Xu Wang, Dong Wang, Yongxiang Li, Jun Zhu, Mingming Gong
2021	J	`jnl`	Exploring Set Similarity for Dense Self-supervised Representation Learning. CoRR Zhaoqing Wang, Qiang Li, Guoxin Zhang, Pengfei Wan, Wen Zheng, Nannan Wang, Mingming Gong, Tongliang Liu
2021	J	`jnl`	Federated Causal Discovery. CoRR Erdun Gao, Junjia Chen, Li Shen, Tongliang Liu, Mingming Gong, Howard D. Bondell
2021	J	`jnl`	HRSiam: High-Resolution Siamese Network, Towards Space-Borne Satellite Video Tracking. IEEE Trans. Image Process. Jia Shao, Bo Du, Chen Wu, Mingming Gong, Tongliang Liu
2021	J	`jnl`	Instance Correction for Learning with Open-set Noisy Labels. CoRR Xiaobo Xia, Tongliang Liu, Bo Han, Mingming Gong, Jun Yu, Gang Niu, Masashi Sugiyama
2021	A*	`conf`	Instance-dependent Label-noise Learning under a Structural Causal Model. NeurIPS Yu Yao, Tongliang Liu, Mingming Gong, Bo Han, Gang Niu, Kun Zhang
2021	J	`jnl`	Instance-dependent Label-noise Learning under a Structural Causal Model. CoRR Yu Yao, Tongliang Liu, Mingming Gong, Bo Han, Gang Niu, Kun Zhang
2021	J	`jnl`	Kernel Mean Estimation by Marginalized Corrupted Distributions. CoRR Xiaobo Xia, Shuo Shan, Mingming Gong, Nannan Wang, Fei Gao, Haikun Wei, Tongliang Liu
2021	J	`jnl`	Learning Domain-Invariant Relationship with Instrumental Variable for Domain Generalization. CoRR Junkun Yuan, Xu Ma, Kun Kuang, Ruoxuan Xiong, Mingming Gong, Lanfen Lin
2021	A*	`conf`	Learning with Group Noise. AAAI Qizhou Wang, Jiangchao Yao, Chen Gong, Tongliang Liu, Mingming Gong, Hongxia Yang, Bo Han
2021	J	`jnl`	Learning with Group Noise. CoRR Qizhou Wang, Jiangchao Yao, Chen Gong, Tongliang Liu, Mingming Gong, Hongxia Yang, Bo Han
2021	A*	`conf`	Not All Operations Contribute Equally: Hierarchical Operation-adaptive Predictor for Neural Architecture Search. ICCV Ziye Chen, Yibing Zhan, Baosheng Yu, Mingming Gong, Bo Du
2021	J	`jnl`	Sample Selection with Uncertainty of Losses for Learning with Noisy Labels. CoRR Xiaobo Xia, Tongliang Liu, Bo Han, Mingming Gong, Jun Yu, Gang Niu, Masashi Sugiyama
2021	A*	`conf`	Unaligned Image-to-Image Translation by Learning to Reweight. ICCV Shaoan Xie, Mingming Gong, Yanwu Xu, Kun Zhang
2021	J	`jnl`	Unaligned Image-to-Image Translation by Learning to Reweight. CoRR Shaoan Xie, Mingming Gong, Yanwu Xu, Kun Zhang
2021	J	`jnl`	Uncertainty-aware Clustering for Unsupervised Domain Adaptive Object Re-identification. CoRR Pengfei Wang, Changxing Ding, Wentao Tan, Mingming Gong, Kui Jia, Dacheng Tao
2021	J	`jnl`	Unpaired data empowers association tests. Bioinform. Mingming Gong, Peng Liu, Frank C. Sciurba, Petar Stojanov, Dacheng Tao, George C. Tseng, Kun Zhang, Kayhan Batmanghelich
2021	C	`conf`	Vecnet: A Spectral and Multi-Scale Spatial Fusion Deep Network for Pixel-Level Cloud Type Classification in Himawari-8 Imagery. IGARSS Zhaoqing Wang, Xiangyu Kong, Zhanbei Cui, Ming Wu, Chuang Zhang, Mingming Gong, Tongliang Liu
2021	J	`jnl`	Video Joint Modelling Based on Hierarchical Transformer for Co-summarization. CoRR Haopeng Li, Qiuhong Ke, Mingming Gong, Rui Zhang
2020	J	`jnl`	3D-FUTURE: 3D Furniture shape with TextURE. CoRR Huan Fu, Rongfei Jia, Lin Gao, Mingming Gong, Binqiang Zhao, Steve J. Maybank, Dacheng Tao
2020	J	`jnl`	Adaptive Context-Aware Multi-Modal Network for Depth Completion. CoRR Shanshan Zhao, Mingming Gong, Huan Fu, Dacheng Tao
2020	A*	`conf`	Bridging Causality and Learning: How Do They Benefit from Each Other? IJCAI Mingming Gong
2020	A*	`conf`	Causal Discovery from Multiple Data Sets with Non-Identical Variable Sets. AAAI Biwei Huang, Kun Zhang, Mingming Gong, Clark Glymour
2020	J	`jnl`	Class2Simi: A New Perspective on Learning with Label Noise. CoRR Songhua Wu, Xiaobo Xia, Tongliang Liu, Bo Han, Mingming Gong, Nannan Wang, Haifeng Liu, Gang Niu
2020	A*	`conf`	Compressed Self-Attention for Deep Metric Learning with Low-Rank Approximation. IJCAI Ziye Chen, Mingming Gong, Lingjuan Ge, Bo Du
2020	A*	`conf`	Compressed Self-Attention for Deep Metric Learning. AAAI Ziye Chen, Mingming Gong, Yanwu Xu, Chaohui Wang, Kun Zhang, Bo Du
2020	J	`jnl`	Deep Learning is Singular, and That's Good. CoRR Daniel Murfet, Susan Wei, Mingming Gong, Hui Li, Jesse Gell-Redman, Thomas Quella
2020	J	`jnl`	Domain Adaptation As a Problem of Inference on Graphical Models. CoRR Kun Zhang, Mingming Gong, Petar Stojanov, Biwei Huang, Clark Glymour
2020	A*	`conf`	Domain Adaptation as a Problem of Inference on Graphical Models. NeurIPS Kun Zhang, Mingming Gong, Petar Stojanov, Biwei Huang, Qingsong Liu, Clark Glymour
2020	A*	`conf`	Domain Generalization via Entropy Regularization. NeurIPS Shanshan Zhao, Mingming Gong, Tongliang Liu, Huan Fu, Dacheng Tao
2020	A*	`conf`	Dual T: Reducing Estimation Error for Transition Matrix in Label-noise Learning. NeurIPS Yu Yao, Tongliang Liu, Bo Han, Mingming Gong, Jiankang Deng, Gang Niu, Masashi Sugiyama
2020	J	`jnl`	Dual T: Reducing Estimation Error for Transition Matrix in Label-noise Learning. CoRR Yu Yao, Tongliang Liu, Bo Han, Mingming Gong, Jiankang Deng, Gang Niu, Masashi Sugiyama
2020	A*	`conf`	Generative-Discriminative Complementary Learning. AAAI Yanwu Xu, Mingming Gong, Junxiang Chen, Tongliang Liu, Kun Zhang, Kayhan Batmanghelich
2020	A*	`conf`	Hard Example Generation by Texture Synthesis for Cross-domain Shape Similarity Learning. NeurIPS Huan Fu, Shunming Li, Rongfei Jia, Mingming Gong, Binqiang Zhao, Dacheng Tao
2020	J	`jnl`	Hard Example Generation by Texture Synthesis for Cross-domain Shape Similarity Learning. CoRR Huan Fu, Shunming Li, Rongfei Jia, Mingming Gong, Binqiang Zhao, Dacheng Tao
2020	J	`jnl`	Hierarchical Amortized Training for Memory-efficient High Resolution 3D GAN. CoRR Li Sun, Junxiang Chen, Yanwu Xu, Mingming Gong, Ke Yu, Kayhan Batmanghelich
2020	A*	`conf`	LTF: A Label Transformation Framework for Correcting Label Shift. ICML Jiaxian Guo, Mingming Gong, Tongliang Liu, Kun Zhang, Dacheng Tao
2020	A*	`conf`	Label-Noise Robust Domain Adaptation. ICML Xiyu Yu, Tongliang Liu, Mingming Gong, Kun Zhang, Kayhan Batmanghelich, Dacheng Tao
2020	J	`jnl`	LogDet Metric-Based Domain Adaptation. IEEE Trans. Neural Networks Learn. Syst. Youfa Liu, Bo Du, Weiping Tu, Mingming Gong, Yuhong Guo, Dacheng Tao
2020	J	`jnl`	Multi-Class Classification from Noisy-Similarity-Labeled Data. CoRR Songhua Wu, Xiaobo Xia, Tongliang Liu, Bo Han, Mingming Gong, Nannan Wang, Haifeng Liu, Gang Niu
2020	A*	`conf`	Part-dependent Label Noise: Towards Instance-dependent Label Noise. NeurIPS Xiaobo Xia, Tongliang Liu, Bo Han, Nannan Wang, Mingming Gong, Haifeng Liu, Gang Niu, Dacheng Tao, Masashi Sugiyama
2020	J	`jnl`	Parts-dependent Label Noise: Towards Instance-dependent Label Noise. CoRR Xiaobo Xia, Tongliang Liu, Bo Han, Nannan Wang, Mingming Gong, Haifeng Liu, Gang Niu, Dacheng Tao, Masashi Sugiyama
2020	J	`jnl`	Receptive Field Size Versus Model Depth for Single Image Super-Resolution. IEEE Trans. Image Process. Ruxin Wang, Mingming Gong, Dacheng Tao
2020	—	`conf`	Short-Term and Long-Term Context Aggregation Network for Video Inpainting. ECCV (4) Ang Li, Shanshan Zhao, Xingjun Ma, Mingming Gong, Jianzhong Qi, Rui Zhang, Dacheng Tao, Ramamohanarao Kotagiri
2020	J	`jnl`	Short-Term and Long-Term Context Aggregation Network for Video Inpainting. CoRR Ang Li, Shanshan Zhao, Xingjun Ma, Mingming Gong, Jianzhong Qi, Rui Zhang, Dacheng Tao, Ramamohanarao Kotagiri
2020	—	`conf`	Sub-center ArcFace: Boosting Face Recognition by Large-Scale Noisy Web Faces. ECCV (11) Jiankang Deng, Jia Guo, Tongliang Liu, Mingming Gong, Stefanos Zafeiriou
2020	J	`jnl`	Towards Mixture Proportion Estimation without Irreducibility. CoRR Yu Yao, Tongliang Liu, Bo Han, Mingming Gong, Gang Niu, Masashi Sugiyama, Dacheng Tao
2019	A*	`conf`	Causal Discovery and Forecasting in Nonstationary Environments with State-Space Models. ICML Biwei Huang, Kun Zhang, Mingming Gong, Clark Glymour
2019	J	`jnl`	Causal Discovery and Forecasting in Nonstationary Environments with State-Space Models. CoRR Biwei Huang, Kun Zhang, Mingming Gong, Clark Glymour
2019	A	`conf`	Data-Driven Approach to Multiple-Source Domain Adaptation. AISTATS Petar Stojanov, Mingming Gong, Jaime G. Carbonell, Kun Zhang
2019	J	`jnl`	Generative-Discriminative Complementary Learning. CoRR Yanwu Xu, Mingming Gong, Junxiang Chen, Tongliang Liu, Kun Zhang, Kayhan Batmanghelich
2019	A*	`conf`	Geometry-Aware Symmetric Domain Adaptation for Monocular Depth Estimation. CVPR Shanshan Zhao, Huan Fu, Mingming Gong, Dacheng Tao
2019	J	`jnl`	Geometry-Aware Symmetric Domain Adaptation for Monocular Depth Estimation. CoRR Shanshan Zhao, Huan Fu, Mingming Gong, Dacheng Tao
2019	A*	`conf`	Geometry-Consistent Generative Adversarial Networks for One-Sided Unsupervised Domain Mapping. CVPR Huan Fu, Mingming Gong, Chaohui Wang, Kayhan Batmanghelich, Kun Zhang, Dacheng Tao
2019	J	`jnl`	Learning Depth from Monocular Videos Using Synthetic Data: A Temporally-Consistent Domain Adaptation Approach. CoRR Yipeng Mou, Mingming Gong, Huan Fu, Kayhan Batmanghelich, Kun Zhang, Dacheng Tao
2019	J	`jnl`	Learning the implicit strain reconstruction in ultrasound elastography using privileged information. Medical Image Anal. Zhifan Gao, Sitong Wu, Zhi Liu, Jianwen Luo, Heye Zhang, Mingming Gong, Shuo Li
2019	A*	`conf`	Likelihood-Free Overcomplete ICA and Applications In Causal Discovery. NeurIPS Chenwei Ding, Mingming Gong, Kun Zhang, Dacheng Tao
2019	J	`jnl`	Likelihood-Free Overcomplete ICA and Applications in Causal Discovery. CoRR Chenwei Ding, Mingming Gong, Kun Zhang, Dacheng Tao
2019	A	`conf`	Low-Dimensional Density Ratio Estimation for Covariate Shift Correction. AISTATS Petar Stojanov, Mingming Gong, Jaime G. Carbonell, Kun Zhang
2019	J	`jnl`	Robust Angular Local Descriptor Learning. CoRR Yanwu Xu, Mingming Gong, Tongliang Liu, Kayhan Batmanghelich, Chaohui Wang
2019	A*	`conf`	Specific and Shared Causal Relation Modeling and Mechanism-Based Clustering. NeurIPS Biwei Huang, Kun Zhang, Pengtao Xie, Mingming Gong, Eric P. Xing, Clark Glymour
2019	A*	`conf`	Twin Auxilary Classifiers GAN. NeurIPS Mingming Gong, Yanwu Xu, Chunyuan Li, Kun Zhang, Kayhan Batmanghelich
2019	J	`jnl`	Twin Auxiliary Classifiers GAN. CoRR Mingming Gong, Yanwu Xu, Chunyuan Li, Kun Zhang, Kayhan Batmanghelich
2018	A*	`conf`	An Efficient and Provable Approach for Mixture Proportion Estimation Using Linear Independence Assumption. CVPR Xiyu Yu, Tongliang Liu, Mingming Gong, Kayhan Batmanghelich, Dacheng Tao
2018	A	`conf`	Causal Discovery with Linear Non-Gaussian Models under Measurement Error: Structural Identifiability Results. UAI Kun Zhang, Mingming Gong, Joseph D. Ramsey, Kayhan Batmanghelich, Peter Spirtes, Clark Glymour
2018	J	`jnl`	Causal Generative Domain Adaptation Networks. CoRR Mingming Gong, Kun Zhang, Biwei Huang, Clark Glymour, Dacheng Tao, Kayhan Batmanghelich
2018	—	`conf`	Correcting the Triplet Selection Bias for Triplet Loss. ECCV (6) Baosheng Yu, Tongliang Liu, Mingming Gong, Changxing Ding, Dacheng Tao
2018	—	`conf`	Deep Domain Generalization via Conditional Invariant Adversarial Networks. ECCV (15) Ya Li, Xinmei Tian, Mingming Gong, Yajing Liu, Tongliang Liu, Kun Zhang, Dacheng Tao
2018	A*	`conf`	Deep Ordinal Regression Network for Monocular Depth Estimation. CVPR Huan Fu, Mingming Gong, Chaohui Wang, Kayhan Batmanghelich, Dacheng Tao
2018	J	`jnl`	Deep Ordinal Regression Network for Monocular Depth Estimation. CoRR Huan Fu, Mingming Gong, Chaohui Wang, Kayhan Batmanghelich, Dacheng Tao
2018	J	`jnl`	Domain Generalization via Conditional Invariant Representation. CoRR Ya Li, Mingming Gong, Xinmei Tian, Tongliang Liu, Dacheng Tao
2018	A*	`conf`	Domain Generalization via Conditional Invariant Representations. AAAI Ya Li, Mingming Gong, Xinmei Tian, Tongliang Liu, Dacheng Tao
2018	J	`jnl`	Geometry-Consistent Adversarial Networks for One-Sided Unsupervised Domain Mapping. CoRR Huan Fu, Mingming Gong, Chaohui Wang, Kayhan Batmanghelich, Kun Zhang, Dacheng Tao
2018	—	`conf`	Learning with Biased Complementary Labels. ECCV (1) Xiyu Yu, Tongliang Liu, Mingming Gong, Dacheng Tao
2018	J	`jnl`	MoE-SPNet: A Mixture-of-Experts Scene Parsing Network. CoRR Huan Fu, Mingming Gong, Chaohui Wang, Dacheng Tao
2018	J	`jnl`	MoE-SPNet: A mixture-of-experts scene parsing network. Pattern Recognit. Huan Fu, Mingming Gong, Chaohui Wang, Dacheng Tao
2018	A*	`conf`	Modeling Dynamic Missingness of Implicit Feedback for Recommendation. NeurIPS Menghan Wang, Mingming Gong, Xiaolin Zheng, Kun Zhang
2018	—	`conf`	Multi-scale Masked 3-D U-Net for Brain Tumor Segmentation. BrainLes@MICCAI (2) Yanwu Xu, Mingming Gong, Huan Fu, Dacheng Tao, Kun Zhang, Kayhan Batmanghelich
2018	—	`conf`	Robust Angular Local Descriptor Learning. ACCV (5) Yanwu Xu, Mingming Gong, Tongliang Liu, Kayhan Batmanghelich, Chaohui Wang
2018	—	`conf`	Subject2Vec: Generative-Discriminative Approach from a Set of Image Patches to a Vector. MICCAI (1) Sumedha Singla, Mingming Gong, Siamak Ravanbakhsh, Frank C. Sciurba, Barnabás Póczos, Kayhan N. Batmanghelich
2018	J	`jnl`	Subject2Vec: Generative-Discriminative Approach from a Set of Image Patches to a Vector. CoRR Sumedha Singla, Mingming Gong, Siamak Ravanbakhsh, Frank C. Sciurba, Barnabás Póczos, Kayhan N. Batmanghelich
2017	A*	`conf`	A Coarse-Fine Network for Keypoint Localization. ICCV Shaoli Huang, Mingming Gong, Dacheng Tao
2017	J	`jnl`	A Compromise Principle in Deep Monocular Depth Estimation. CoRR Huan Fu, Mingming Gong, Chaohui Wang, Dacheng Tao
2017	A	`conf`	Causal Discovery from Temporally Aggregated Time Series. UAI Mingming Gong, Kun Zhang, Bernhard Schölkopf, Clark Glymour, Dacheng Tao
2017	J	`jnl`	Causal Discovery in the Presence of Measurement Error: Identifiability Conditions. CoRR Kun Zhang, Mingming Gong, Joseph D. Ramsey, Kayhan Batmanghelich, Peter Spirtes, Clark Glymour
2017	—	`—`	Causal and causally-inspired learning Mingming Gong
2017	J	`jnl`	Large-Cone Nonnegative Matrix Factorization. IEEE Trans. Neural Networks Learn. Syst. Tongliang Liu, Mingming Gong, Dacheng Tao
2017	J	`jnl`	Learning with Biased Complementary Labels. CoRR Xiyu Yu, Tongliang Liu, Mingming Gong, Dacheng Tao
2016	A*	`conf`	Domain Adaptation with Conditional Transferable Components. ICML Mingming Gong, Kun Zhang, Tongliang Liu, Dacheng Tao, Clark Glymour, Bernhard Schölkopf
2016	J	`jnl`	SERVE: Soft and Equalized Residual VEctors for image retrieval. Neurocomputing Jun Li, Chang Xu, Mingming Gong, Junliang Xing, Wankou Yang, Changyin Sun
2015	A*	`conf`	Causal Inference by Identification of Vector Autoregressive Processes with Hidden Components. ICML Philipp Geiger, Kun Zhang, Bernhard Schölkopf, Mingming Gong, Dominik Janzing
2015	J	`jnl`	DERF: Distinctive Efficient Robust Features From the Biological Modeling of the P Ganglion Cells. IEEE Trans. Image Process. Dawei Weng, Yunhong Wang, Mingming Gong, Dacheng Tao, Hui Wei, Di Huang
2015	A*	`conf`	Discovering Temporal Causal Relations from Subsampled Data. ICML Mingming Gong, Kun Zhang, Bernhard Schölkopf, Dacheng Tao, Philipp Geiger
2015	A*	`conf`	Multi-Source Domain Adaptation: A Causal View. AAAI Kun Zhang, Mingming Gong, Bernhard Schölkopf
2014	J	`jnl`	Local Metric Learning for Exemplar-Based Object Detection. IEEE Trans. Circuits Syst. Video Technol. Xinge You, Qiang Li, Dacheng Tao, Weihua Ou, Mingming Gong
2012	J	`jnl`	A method using long digital straight segments for fingerprint recognition. Neurocomputing Xiubao Jiang, Xinge You, Yuan Yuan, Mingming Gong
2012	—	`conf`	Efficient Group Learning with Hypergraph Partition in Multi-task Learning. CCPR Quanming Yao, Xiubao Jiang, Mingming Gong, Xinge You, Yu Liu, Duanquan Xu
2012	J	`jnl`	Spatial pooling for measuring color printing quality attributes. J. Vis. Commun. Image Represent. Mingming Gong, Marius Pedersen
2012	B	`conf`	Structured sparse coding for image representation based on L1-graph. ICPR Weihua Ou, Xinge You, Yiu-ming Cheung, Qinmu Peng, Mingming Gong, Xiubao Jiang
2011	C	`conf`	Clustering Based Image Denoising Using SURE-LET. CIS Wu Zeng, Long Zhou, Xiubao Jiang, Xinge You, Mingming Gong
2010	Misc	`conf`	Long digital straight segments for fingerprint matching. ICMLC Xiubao Jiang, Long Zhou, Mingming Gong, Xinge You