Long digital straight segments for fingerprint matching. - Xiubao Jiang; Long Zhou; Mingming Gong; Xinge You (ICMLC, 2010)

Clustering Based Image Denoising Using SURE-LET. - Wu Zeng; Long Zhou; Xiubao Jiang; Xinge You; Mingming Gong (CIS, 2011)

Efficient Group Learning with Hypergraph Partition in Multi-task Learning. - Quanming Yao; Xiubao Jiang; Mingming Gong; Xinge You; Yu Liu 016; Duanquan Xu (CCPR, 2012)

Structured sparse coding for image representation based on L1-graph. - Weihua Ou; Xinge You; Yiu-ming Cheung; Qinmu Peng; Mingming Gong; Xiubao Jiang (ICPR, 2012)

A method using long digital straight segments for fingerprint recognition. - Xiubao Jiang; Xinge You; Yuan Yuan 001; Mingming Gong (Neurocomputing, 2012)

Spatial pooling for measuring color printing quality attributes. - Mingming Gong; Marius Pedersen (J. Vis. Commun. Image Represent., 2012)

Local Metric Learning for Exemplar-Based Object Detection. - Xinge You; Qiang Li 024; Dacheng Tao; Weihua Ou; Mingming Gong (IEEE Trans. Circuits Syst. Video Technol., 2014)

Multi-Source Domain Adaptation: A Causal View. - Kun Zhang 001; Mingming Gong; Bernhard Schölkopf (AAAI, 2015)

Causal Inference by Identification of Vector Autoregressive Processes with Hidden Components. - Philipp Geiger; Kun Zhang 001; Bernhard Schölkopf; Mingming Gong; Dominik Janzing (ICML, 2015)

Discovering Temporal Causal Relations from Subsampled Data. - Mingming Gong; Kun Zhang 001; Bernhard Schölkopf; Dacheng Tao; Philipp Geiger (ICML, 2015)

DERF: Distinctive Efficient Robust Features From the Biological Modeling of the P Ganglion Cells. - Dawei Weng; Yunhong Wang 001; Mingming Gong; Dacheng Tao; Hui Wei 001; Di Huang 001 (IEEE Trans. Image Process., 2015)

Domain Adaptation with Conditional Transferable Components. - Mingming Gong; Kun Zhang 001; Tongliang Liu; Dacheng Tao; Clark Glymour; Bernhard Schölkopf (ICML, 2016)

SERVE: Soft and Equalized Residual VEctors for image retrieval. - Jun Li 033; Chang Xu 002; Mingming Gong; Junliang Xing; Wankou Yang; Changyin Sun 001 (Neurocomputing, 2016)

A Coarse-Fine Network for Keypoint Localization. - Shaoli Huang; Mingming Gong; Dacheng Tao (ICCV, 2017)

Causal Discovery from Temporally Aggregated Time Series. - Mingming Gong; Kun Zhang 001; Bernhard Schölkopf; Clark Glymour; Dacheng Tao (UAI, 2017)

Causal Discovery in the Presence of Measurement Error: Identifiability Conditions. - Kun Zhang 001; Mingming Gong; Joseph D. Ramsey; Kayhan Batmanghelich; Peter Spirtes; Clark Glymour (CoRR, 2017)

A Compromise Principle in Deep Monocular Depth Estimation. - Huan Fu; Mingming Gong; Chaohui Wang; Dacheng Tao (CoRR, 2017)

Large-Cone Nonnegative Matrix Factorization. - Tongliang Liu; Mingming Gong; Dacheng Tao (IEEE Trans. Neural Networks Learn. Syst., 2017)

Causal and causally-inspired learning - Mingming Gong (2017)

Domain Generalization via Conditional Invariant Representations. - Ya Li; Mingming Gong; Xinmei Tian 001; Tongliang Liu; Dacheng Tao (AAAI, 2018)

Robust Angular Local Descriptor Learning. - Yanwu Xu 001; Mingming Gong; Tongliang Liu; Kayhan Batmanghelich; Chaohui Wang (ACCV (5), 2018)

Deep Ordinal Regression Network for Monocular Depth Estimation. - Huan Fu; Mingming Gong; Chaohui Wang; Kayhan Batmanghelich; Dacheng Tao (CVPR, 2018)

An Efficient and Provable Approach for Mixture Proportion Estimation Using Linear Independence Assumption. - Xiyu Yu; Tongliang Liu; Mingming Gong; Kayhan Batmanghelich; Dacheng Tao (CVPR, 2018)

Deep Domain Generalization via Conditional Invariant Adversarial Networks. - Ya Li; Xinmei Tian 001; Mingming Gong; Yajing Liu; Tongliang Liu; Kun Zhang 001; Dacheng Tao (ECCV (15), 2018)

Correcting the Triplet Selection Bias for Triplet Loss. - Baosheng Yu; Tongliang Liu; Mingming Gong; Changxing Ding; Dacheng Tao (ECCV (6), 2018)

Learning with Biased Complementary Labels. - Xiyu Yu; Tongliang Liu; Mingming Gong; Dacheng Tao (ECCV (1), 2018)

Subject2Vec: Generative-Discriminative Approach from a Set of Image Patches to a Vector. - Sumedha Singla; Mingming Gong; Siamak Ravanbakhsh; Frank C. Sciurba; Barnabás Póczos; Kayhan N. Batmanghelich (MICCAI (1), 2018)

Multi-scale Masked 3-D U-Net for Brain Tumor Segmentation. - Yanwu Xu 001; Mingming Gong; Huan Fu; Dacheng Tao; Kun Zhang 001; Kayhan Batmanghelich (BrainLes@MICCAI (2), 2018)

Modeling Dynamic Missingness of Implicit Feedback for Recommendation. - Menghan Wang; Mingming Gong; Xiaolin Zheng; Kun Zhang 001 (NeurIPS, 2018)

Causal Discovery with Linear Non-Gaussian Models under Measurement Error: Structural Identifiability Results. - Kun Zhang 001; Mingming Gong; Joseph D. Ramsey; Kayhan Batmanghelich; Peter Spirtes; Clark Glymour (UAI, 2018)

Causal Generative Domain Adaptation Networks. - Mingming Gong; Kun Zhang 001; Biwei Huang; Clark Glymour; Dacheng Tao; Kayhan Batmanghelich (CoRR, 2018)

Domain Generalization via Conditional Invariant Representation. - Ya Li; Mingming Gong; Xinmei Tian 001; Tongliang Liu; Dacheng Tao (CoRR, 2018)

Geometry-Consistent Adversarial Networks for One-Sided Unsupervised Domain Mapping. - Huan Fu; Mingming Gong; Chaohui Wang; Kayhan Batmanghelich; Kun Zhang 001; Dacheng Tao (CoRR, 2018)

MoE-SPNet: A mixture-of-experts scene parsing network. - Huan Fu; Mingming Gong; Chaohui Wang; Dacheng Tao (Pattern Recognit., 2018)

Low-Dimensional Density Ratio Estimation for Covariate Shift Correction. - Petar Stojanov; Mingming Gong; Jaime G. Carbonell; Kun Zhang 001 (AISTATS, 2019)

Data-Driven Approach to Multiple-Source Domain Adaptation. - Petar Stojanov; Mingming Gong; Jaime G. Carbonell; Kun Zhang 001 (AISTATS, 2019)

Geometry-Consistent Generative Adversarial Networks for One-Sided Unsupervised Domain Mapping. - Huan Fu; Mingming Gong; Chaohui Wang; Kayhan Batmanghelich; Kun Zhang 001; Dacheng Tao (CVPR, 2019)

Geometry-Aware Symmetric Domain Adaptation for Monocular Depth Estimation. - Shanshan Zhao 001; Huan Fu; Mingming Gong; Dacheng Tao (CVPR, 2019)

Causal Discovery and Forecasting in Nonstationary Environments with State-Space Models. - Biwei Huang; Kun Zhang 001; Mingming Gong; Clark Glymour (ICML, 2019)

Likelihood-Free Overcomplete ICA and Applications In Causal Discovery. - Chenwei Ding; Mingming Gong; Kun Zhang 001; Dacheng Tao (NeurIPS, 2019)

Twin Auxilary Classifiers GAN. - Mingming Gong; Yanwu Xu 003; Chunyuan Li; Kun Zhang 001; Kayhan Batmanghelich (NeurIPS, 2019)

Specific and Shared Causal Relation Modeling and Mechanism-Based Clustering. - Biwei Huang; Kun Zhang 001; Pengtao Xie; Mingming Gong; Eric P. Xing; Clark Glymour (NeurIPS, 2019)

Robust Angular Local Descriptor Learning. - Yanwu Xu 003; Mingming Gong; Tongliang Liu; Kayhan Batmanghelich; Chaohui Wang (CoRR, 2019)

Twin Auxiliary Classifiers GAN. - Mingming Gong; Yanwu Xu 003; Chunyuan Li; Kun Zhang 001; Kayhan Batmanghelich (CoRR, 2019)

Learning Depth from Monocular Videos Using Synthetic Data: A Temporally-Consistent Domain Adaptation Approach. - Yipeng Mou; Mingming Gong; Huan Fu; Kayhan Batmanghelich; Kun Zhang 001; Dacheng Tao (CoRR, 2019)

Learning the implicit strain reconstruction in ultrasound elastography using privileged information. - Zhifan Gao; Sitong Wu; Zhi Liu 004; Jianwen Luo 001; Heye Zhang; Mingming Gong; Shuo Li 001 (Medical Image Anal., 2019)

Compressed Self-Attention for Deep Metric Learning. - Ziye Chen; Mingming Gong; Yanwu Xu 003; Chaohui Wang; Kun Zhang 001; Bo Du 001 (AAAI, 2020)

Causal Discovery from Multiple Data Sets with Non-Identical Variable Sets. - Biwei Huang; Kun Zhang 001; Mingming Gong; Clark Glymour (AAAI, 2020)

Generative-Discriminative Complementary Learning. - Yanwu Xu 003; Mingming Gong; Junxiang Chen; Tongliang Liu; Kun Zhang 001; Kayhan Batmanghelich (AAAI, 2020)

Sub-center ArcFace: Boosting Face Recognition by Large-Scale Noisy Web Faces. - Jiankang Deng; Jia Guo 003; Tongliang Liu; Mingming Gong; Stefanos Zafeiriou (ECCV (11), 2020)

Short-Term and Long-Term Context Aggregation Network for Video Inpainting. - Ang Li 008; Shanshan Zhao 001; Xingjun Ma; Mingming Gong; Jianzhong Qi 001; Rui Zhang 003; Dacheng Tao; Ramamohanarao Kotagiri (ECCV (4), 2020)

LTF: A Label Transformation Framework for Correcting Label Shift. - Jiaxian Guo; Mingming Gong; Tongliang Liu; Kun Zhang 001; Dacheng Tao (ICML, 2020)

Label-Noise Robust Domain Adaptation. - Xiyu Yu; Tongliang Liu; Mingming Gong; Kun Zhang 001; Kayhan Batmanghelich; Dacheng Tao (ICML, 2020)

Compressed Self-Attention for Deep Metric Learning with Low-Rank Approximation. - Ziye Chen; Mingming Gong; Lingjuan Ge; Bo Du 001 (IJCAI, 2020)

Bridging Causality and Learning: How Do They Benefit from Each Other? - Mingming Gong (IJCAI, 2020)

Domain Adaptation as a Problem of Inference on Graphical Models. - Kun Zhang 001; Mingming Gong; Petar Stojanov; Biwei Huang; Qingsong Liu; Clark Glymour (NeurIPS, 2020)

Hard Example Generation by Texture Synthesis for Cross-domain Shape Similarity Learning. - Huan Fu; Shunming Li; Rongfei Jia; Mingming Gong; Binqiang Zhao; Dacheng Tao (NeurIPS, 2020)

Part-dependent Label Noise: Towards Instance-dependent Label Noise. - Xiaobo Xia; Tongliang Liu; Bo Han 003; Nannan Wang 001; Mingming Gong; Haifeng Liu; Gang Niu 001; Dacheng Tao; Masashi Sugiyama (NeurIPS, 2020)

Dual T: Reducing Estimation Error for Transition Matrix in Label-noise Learning. - Yu Yao 005; Tongliang Liu; Bo Han 003; Mingming Gong; Jiankang Deng; Gang Niu 001; Masashi Sugiyama (NeurIPS, 2020)

Domain Generalization via Entropy Regularization. - Shanshan Zhao 001; Mingming Gong; Tongliang Liu; Huan Fu; Dacheng Tao (NeurIPS, 2020)

Domain Adaptation As a Problem of Inference on Graphical Models. - Kun Zhang 001; Mingming Gong; Petar Stojanov; Biwei Huang; Clark Glymour (CoRR, 2020)

Towards Mixture Proportion Estimation without Irreducibility. - Yu Yao 005; Tongliang Liu; Bo Han 003; Mingming Gong; Gang Niu 001; Masashi Sugiyama; Dacheng Tao (CoRR, 2020)

Multi-Class Classification from Noisy-Similarity-Labeled Data. - Songhua Wu; Xiaobo Xia; Tongliang Liu; Bo Han 003; Mingming Gong; Nannan Wang 001; Haifeng Liu; Gang Niu 001 (CoRR, 2020)

Class2Simi: A New Perspective on Learning with Label Noise. - Songhua Wu; Xiaobo Xia; Tongliang Liu; Bo Han 003; Mingming Gong; Nannan Wang 001; Haifeng Liu; Gang Niu 001 (CoRR, 2020)

Parts-dependent Label Noise: Towards Instance-dependent Label Noise. - Xiaobo Xia; Tongliang Liu; Bo Han 003; Nannan Wang 001; Mingming Gong; Haifeng Liu; Gang Niu 001; Dacheng Tao; Masashi Sugiyama (CoRR, 2020)

Hierarchical Amortized Training for Memory-efficient High Resolution 3D GAN. - Li Sun 010; Junxiang Chen; Yanwu Xu 003; Mingming Gong; Ke Yu; Kayhan Batmanghelich (CoRR, 2020)

Receptive Field Size Versus Model Depth for Single Image Super-Resolution. - Ruxin Wang 002; Mingming Gong; Dacheng Tao (IEEE Trans. Image Process., 2020)

LogDet Metric-Based Domain Adaptation. - Youfa Liu; Bo Du 001; Weiping Tu; Mingming Gong; Yuhong Guo; Dacheng Tao (IEEE Trans. Neural Networks Learn. Syst., 2020)

Learning with Group Noise. - Qizhou Wang; Jiangchao Yao; Chen Gong 002; Tongliang Liu; Mingming Gong; Hongxia Yang; Bo Han 003 (AAAI, 2021)

Not All Operations Contribute Equally: Hierarchical Operation-adaptive Predictor for Neural Architecture Search. - Ziye Chen; Yibing Zhan; Baosheng Yu; Mingming Gong; Bo Du 001 (ICCV, 2021)

Unaligned Image-to-Image Translation by Learning to Reweight. - Shaoan Xie; Mingming Gong; Yanwu Xu 003; Kun Zhang 001 (ICCV, 2021)

Dual-Regularization Complementary Learning for Image Classification. - Lingjuan Ge; Mingming Gong; Yutian Lin; Bo Du 001 (ICME, 2021)

Class2Simi: A Noise Reduction Perspective on Learning with Noisy Labels. - Songhua Wu; Xiaobo Xia; Tongliang Liu; Bo Han 003; Mingming Gong; Nannan Wang 001; Haifeng Liu; Gang Niu 001 (ICML, 2021)

Disentangled Feature Network for Fine-Grained Recognition. - Shuyu Miao; Shuaicheng Li; Lin Zheng; Wei Yu; Jingjing Liu; Mingming Gong; Rui Feng 001 (ICONIP (2), 2021)

Vecnet: A Spectral and Multi-Scale Spatial Fusion Deep Network for Pixel-Level Cloud Type Classification in Himawari-8 Imagery. - Zhaoqing Wang; Xiangyu Kong; Zhanbei Cui; Ming Wu 001; Chuang Zhang; Mingming Gong; Tongliang Liu (IGARSS, 2021)

Domain Adaptation with Invariant Representation Learning: What Transformations to Learn? - Petar Stojanov; Zijian Li 001; Mingming Gong; Ruichu Cai; Jaime G. Carbonell; Kun Zhang 001 (NeurIPS, 2021)

Instance-dependent Label-noise Learning under a Structural Causal Model. - Yu Yao 005; Tongliang Liu; Mingming Gong; Bo Han 003; Gang Niu 001; Kun Zhang 001 (NeurIPS, 2021)

Unpaired data empowers association tests. - Mingming Gong; Peng Liu; Frank C. Sciurba; Petar Stojanov; Dacheng Tao; George C. Tseng; Kun Zhang 001; Kayhan Batmanghelich (Bioinform., 2021)

Instance Correction for Learning with Open-set Noisy Labels. - Xiaobo Xia; Tongliang Liu; Bo Han 003; Mingming Gong; Jun Yu 001; Gang Niu 001; Masashi Sugiyama (CoRR, 2021)

Kernel Mean Estimation by Marginalized Corrupted Distributions. - Xiaobo Xia; Shuo Shan; Mingming Gong; Nannan Wang 001; Fei Gao 006; Haikun Wei; Tongliang Liu (CoRR, 2021)

Box-Adapt: Domain-Adaptive Medical Image Segmentation using Bounding BoxSupervision. - Yanwu Xu 003; Mingming Gong; Shaoan Xie; Kayhan Batmanghelich (CoRR, 2021)

Learning Domain-Invariant Relationship with Instrumental Variable for Domain Generalization. - Junkun Yuan; Xu Ma; Kun Kuang; Ruoxuan Xiong; Mingming Gong; Lanfen Lin (CoRR, 2021)

Federated Causal Discovery. - Erdun Gao; Junjia Chen; Li Shen 008; Tongliang Liu; Mingming Gong; Howard D. Bondell (CoRR, 2021)

3D-FUTURE: 3D Furniture Shape with TextURE. - Huan Fu; Rongfei Jia; Lin Gao 004; Mingming Gong; Binqiang Zhao; Stephen J. Maybank; Dacheng Tao (Int. J. Comput. Vis., 2021)

Dynamic Joint Distribution Alignment Network for Bearing Fault Diagnosis Under Variable Working Conditions. - Changqing Shen; Xu Wang; Dong Wang 001; Yongxiang Li; Jun Zhu 012; Mingming Gong (IEEE Trans. Instrum. Meas., 2021)

HRSiam: High-Resolution Siamese Network, Towards Space-Borne Satellite Video Tracking. - Jia Shao; Bo Du 001; Chen Wu 003; Mingming Gong; Tongliang Liu (IEEE Trans. Image Process., 2021)

Adaptive Context-Aware Multi-Modal Network for Depth Completion. - Shanshan Zhao 001; Mingming Gong; Huan Fu; Dacheng Tao (IEEE Trans. Image Process., 2021)

Fair Classification with Instance-dependent Label Noise. - Songhua Wu; Mingming Gong; Bo Han 003; Yang Liu 018; Tongliang Liu (CLeaR, 2022)

Maximum Spatial Perturbation Consistency for Unpaired Image-to-Image Translation. - Yanwu Xu 003; Shaoan Xie; Wenhao Wu; Kun Zhang 001; Mingming Gong; Kayhan Batmanghelich (CVPR, 2022)

Alleviating Semantics Distortion in Unsupervised Low-Level Image-to-Image Translation via Structure Consistency Constraint. - Jiaxian Guo; Jiachen Li; Huan Fu; Mingming Gong; Kun Zhang 001; Dacheng Tao (CVPR, 2022)

Few-Shot Font Generation by Learning Fine-Grained Local Styles. - Licheng Tang; Yiyang Cai; Jiaming Liu; Zhibin Hong; Mingming Gong; Minhu Fan; Junyu Han; Jingtuo Liu; Errui Ding; Jingdong Wang 001 (CVPR, 2022)

CRIS: CLIP-Driven Referring Image Segmentation. - Zhaoqing Wang; Yu Lu; Qiang Li 024; Xunqiang Tao; Yandong Guo; Mingming Gong; Tongliang Liu (CVPR, 2022)

Exploring Set Similarity for Dense Self-supervised Representation Learning. - Zhaoqing Wang; Qiang Li 024; Guoxin Zhang; Pengfei Wan 001; Wen Zheng; Nannan Wang 001; Mingming Gong; Tongliang Liu (CVPR, 2022)

Uncertainty Quantification in Depth Estimation via Constrained Ordinal Regression. - Dongting Hu; Liuhua Peng; Tingjin Chu; Xiaoxing Zhang; Yinian Mao; Howard D. Bondell; Mingming Gong (ECCV (2), 2022)

Digging into Radiance Grid for Real-Time View Synthesis with Detail Preservation. - Jian Zhang; Jinchi Huang; Bowen Cai 001; Huan Fu; Mingming Gong; Chaohui Wang; Jiaming Wang; Hongchen Luo; Rongfei Jia; Binqiang Zhao; Xing Tang (ECCV (15), 2022)

A Relational Intervention Approach for Unsupervised Dynamics Generalization in Model-Based Reinforcement Learning. - Jiaxian Guo; Mingming Gong; Dacheng Tao (ICLR, 2022)

Sample Selection with Uncertainty of Losses for Learning with Noisy Labels. - Xiaobo Xia; Tongliang Liu; Bo Han 003; Mingming Gong; Jun Yu 001; Gang Niu 001; Masashi Sugiyama (ICLR, 2022)

Rethinking Class-Prior Estimation for Positive-Unlabeled Learning. - Yu Yao 005; Tongliang Liu; Bo Han 003; Mingming Gong; Gang Niu 001; Masashi Sugiyama; Dacheng Tao (ICLR, 2022)

Adversarial Robustness Through the Lens of Causality. - Yonggang Zhang 003; Mingming Gong; Tongliang Liu; Gang Niu 001; Xinmei Tian 001; Bo Han 003; Bernhard Schölkopf; Kun Zhang 001 (ICLR, 2022)

Understanding Robust Overfitting of Adversarial Training and Beyond. - Chaojian Yu; Bo Han 003; Li Shen 008; Jun Yu 001; Chen Gong 002; Mingming Gong; Tongliang Liu (ICML, 2022)

Robust Weight Perturbation for Adversarial Training. - Chaojian Yu; Bo Han 003; Mingming Gong; Li Shen 008; Shiming Ge; Du Bo; Tongliang Liu (IJCAI, 2022)

Research on ultra-wideband (UWB) indoor accurate positioning technology under signal interference. - Mingming Gong; Zhiyang Li; Wuyungerile Li (iThings/GreenCom/CPSCom/SmartData/Cybermatics, 2022)

Sample-Efficient Kernel Mean Estimator with Marginalized Corrupted Data. - Xiaobo Xia; Shuo Shan; Mingming Gong; Nannan Wang 001; Fei Gao 006; Haikun Wei; Tongliang Liu (KDD, 2022)

Adversarial Consistency for Single Domain Generalization in Medical Image Segmentation. - Yanwu Xu 003; Shaoan Xie; Maxwell Reynolds; Matthew Ragoza; Mingming Gong; Kayhan Batmanghelich (MICCAI (8), 2022)

Truncated Matrix Power Iteration for Differentiable DAG Learning. - Zhen Zhang 008; Ignavier Ng; Dong Gong; Yuhang Liu 002; Ehsan Abbasnejad; Mingming Gong; Kun Zhang 001; Javen Qinfeng Shi (NeurIPS, 2022)

MissDAG: Causal Discovery in the Presence of Missing Data with Continuous Additive Noise Models. - Erdun Gao; Ignavier Ng; Mingming Gong; Li Shen 008; Wei Huang; Tongliang Liu; Kun Zhang 001; Howard D. Bondell (NeurIPS, 2022)

Counterfactual Fairness with Partially Known Causal Graph. - Aoqi Zuo; Susan Wei; Tongliang Liu; Bo Han 003; Kun Zhang 001; Mingming Gong (NeurIPS, 2022)

MP2: A Momentum Contrast Approach for Recommendation with Pointwise and Pairwise Learning. - Menghan Wang; Yuchen Guo; Zhenqi Zhao; Guangzheng Hu; Yuming Shen; Mingming Gong; Philip H. S. Torr (SIGIR, 2022)

Video Summarization Based on Video-text Modelling. - Haopeng Li; Qiuhong Ke; Mingming Gong; Rui Zhang 003 (CoRR, 2022)

Do We Need to Penalize Variance of Losses for Learning with Label Noise? - Yexiong Lin; Yu Yao 005; Yuxuan Du; Jun Yu 001; Bo Han 003; Mingming Gong; Tongliang Liu (CoRR, 2022)

On Causality in Domain Adaptation and Semi-Supervised Learning: an Information-Theoretic Analysis. - Xuetong Wu; Mingming Gong; Jonathan H. Manton; Uwe Aickelin; Jingge Zhu (CoRR, 2022)

Robust Weight Perturbation for Adversarial Training. - Chaojian Yu; Bo Han 003; Mingming Gong; Li Shen 008; Shiming Ge; Bo Du 001; Tongliang Liu (CoRR, 2022)

A Relational Intervention Approach for Unsupervised Dynamics Generalization in Model-Based Reinforcement Learning. - Jixian Guo; Mingming Gong; Dacheng Tao (CoRR, 2022)

Detecting Deepfake by Creating Spatio-Temporal Regularity Disruption. - Jiazhi Guan; Hang Zhou 009; Mingming Gong; Youjian Zhao; Errui Ding; Jingdong Wang 001 (CoRR, 2022)

MetaComp: Learning to Adapt for Online Depth Completion. - Yang Chen; Shanshan Zhao 001; Wei Ji 008; Mingming Gong; Liping Xie (CoRR, 2022)

Weight-variant Latent Causal Models. - Yuhang Liu 002; Zhen Zhang 008; Dong Gong; Mingming Gong; Biwei Huang; Anton van den Hengel; Kun Zhang 001; Javen Qinfeng Shi (CoRR, 2022)

Identifying Latent Causal Content for Multi-Source Domain Adaptation. - Yuhang Liu 002; Zhen Zhang 008; Dong Gong; Mingming Gong; Biwei Huang; Kun Zhang 001; Javen Qinfeng Shi (CoRR, 2022)

On the Sparse DAG Structure Learning Based on Adaptive Lasso. - Danru Xu; Erdun Gao; Wei Huang; Mingming Gong (CoRR, 2022)

Strength-Adaptive Adversarial Training. - Chaojian Yu; Dawei Zhou 004; Li Shen 008; Jun Yu 001; Bo Han 003; Mingming Gong; Nannan Wang 001; Tongliang Liu (CoRR, 2022)

Adaptive Edge-to-Edge Interaction Learning for Point Cloud Analysis. - Shanshan Zhao 001; Mingming Gong; Xi Li 001; Dacheng Tao (CoRR, 2022)

TCFimt: Temporal Counterfactual Forecasting from Individual Multiple Treatment Perspective. - Pengfei Xi; Guifeng Wang; Zhipeng Hu; Yu Xiong; Mingming Gong; Wei Huang; Runze Wu 001; Yu Ding 001; Tangjie Lv; Changjie Fan; Xiangnan Feng (CoRR, 2022)

A Unified B-Spline Framework for Scale-Invariant Keypoint Detection. - Qi Zheng 003; Mingming Gong; Xinge You; Dacheng Tao (Int. J. Comput. Vis., 2022)

Machine learning (ML)-centric resource management in cloud computing: A review and future directions. - Tahseen Khan; Wenhong Tian; Guangyao Zhou; Shashikant Ilager; Mingming Gong; Rajkumar Buyya (J. Netw. Comput. Appl., 2022)

Learning multi-level weight-centric features for few-shot learning. - Mingjiang Liang; Shaoli Huang; Shirui Pan; Mingming Gong; Wei Liu 007 (Pattern Recognit., 2022)

Adversarial UV-Transformation Texture Estimation for 3D Face Aging. - Yiqiang Wu; Ruxin Wang 002; Mingming Gong; Jun Cheng 002; Zhengtao Yu 001; Dapeng Tao (IEEE Trans. Circuits Syst. Video Technol., 2022)

Hierarchical Amortized GAN for 3D High Resolution Medical Image Synthesis. - Li Sun 010; Junxiang Chen; Yanwu Xu 003; Mingming Gong; Ke Yu; Kayhan Batmanghelich (IEEE J. Biomed. Health Informatics, 2022)

Enhancing Night-to-Day Image Translation with Semantic Prior and Reference Image Guidance. - Junzhi Ning; Mingming Gong (ADC, 2023)

Unpaired Image-to-Image Translation with Shortest Path Regularization. - Shaoan Xie; Yanwu Xu 003; Mingming Gong; Kun Zhang 001 (CVPR, 2023)

Generating Dynamic Kernels via Transformers for Lane Detection. - Ziye Chen; Yu Liu 005; Mingming Gong; Bo Du 001; Guoqi Qian; Kate Smith-Miles (ICCV, 2023)

Multiscale Representation for Real-Time Anti-Aliasing Neural Rendering. - Dongting Hu; Zhenkai Zhang 001; Tingbo Hou; Tongliang Liu; Huan Fu; Mingming Gong (ICCV, 2023)

Combating Noisy Labels with Sample Selection by Mining High-Discrepancy Examples. - Xiaobo Xia; Bo Han 003; Yibing Zhan; Jun Yu 001; Mingming Gong; Chen Gong 002; Tongliang Liu (ICCV, 2023)

Harnessing Out-Of-Distribution Examples via Augmenting Content and Style. - Zhuo Huang; Xiaobo Xia; Li Shen 008; Bo Han 003; Mingming Gong; Chen Gong 002; Tongliang Liu (ICLR, 2023)

Mosaic Representation Learning for Self-supervised Visual Pre-training. - Zhaoqing Wang; Ziyu Chen; Yaqian Li; Yandong Guo; Jun Yu 001; Mingming Gong; Tongliang Liu (ICLR, 2023)

Multi-domain image generation and translation with identifiability guarantees. - Shaoan Xie; Lingjing Kong; Mingming Gong; Kun Zhang 001 (ICLR, 2023)

Diversity-enhancing Generative Network for Few-shot Hypothesis Adaptation. - Ruijiang Dong; Feng Liu 003; Haoang Chi; Tongliang Liu; Mingming Gong; Gang Niu 001; Masashi Sugiyama; Bo Han 003 (ICML, 2023)

Which is Better for Learning with Noisy Labels: The Semi-supervised Method or Modeling Label Noise? - Yu Yao 005; Mingming Gong; Yuxuan Du; Jun Yu 001; Bo Han 003; Kun Zhang 001; Tongliang Liu (ICML, 2023)

Knowledge Distillation for Feature Extraction in Underwater VSLAM. - Jinghe Yang; Mingming Gong; Girish Nair; Jung Hoon Lee; Jason Monty; Ye Pu (ICRA, 2023)

Semi-Implicit Denoising Diffusion Models (SIDDMs). - Yanwu Xu 003; Mingming Gong; Shaoan Xie; Wei Wei; Matthias Grundmann; Kayhan Batmanghelich; Tingbo Hou (NeurIPS, 2023)

ConDaFormer: Disassembled Transformer with Local Structure Enhancement for 3D Point Cloud Understanding. - Lunhao Duan; Shanshan Zhao 001; Nan Xue 001; Mingming Gong; Gui-Song Xia; Dacheng Tao (NeurIPS, 2023)

CS-Isolate: Extracting Hard Confident Examples by Content and Style Isolation. - Yexiong Lin; Yu Yao 005; Xiaolong Shi; Mingming Gong; Xu Shen 001; Dong Xu 001; Tongliang Liu (NeurIPS, 2023)

Learning World Models with Identifiable Factorization. - Yuren Liu; Biwei Huang; Zhengmao Zhu; Hong-Long Tian; Mingming Gong; Yang Yu 001; Kun Zhang 001 (NeurIPS, 2023)

Generator Identification for Linear SDEs with Additive and Multiplicative Noise. - Yuanyuan Wang 010; Xi Geng; Wei Huang; Biwei Huang; Mingming Gong (NeurIPS, 2023)

Progressive Video Summarization via Multimodal Self-supervised Learning. - Haopeng Li; Qiuhong Ke; Mingming Gong; Tom Drummond (WACV, 2023)

Adaptive Local-Component-aware Graph Convolutional Network for One-shot Skeleton-based Action Recognition. - Anqi Zhu; Qiuhong Ke; Mingming Gong; James Bailey 001 (WACV, 2023)

CLIP3Dstyler: Language Guided 3D Arbitrary Neural Style Transfer. - Ming Gao; Yanwu Xu 003; Yang Zhao; Tingbo Hou; Chenkai Zhao; Mingming Gong (CoRR, 2023)

An Efficient Transformer for Simultaneous Learning of BEV and Lane Representations in 3D Lane Detection. - Ziye Chen; Kate Smith-Miles; Bo Du 001; Guoqi Qian; Mingming Gong (CoRR, 2023)

Learning World Models with Identifiable Factorization. - Yu-Ren Liu; Biwei Huang; Zheng-Mao Zhu; Hong-Long Tian; Mingming Gong; Yang Yu 001; Kun Zhang 001 (CoRR, 2023)

Deep Reinforcement Learning-based Scheduling in Edge and Fog Computing Environments. - Zhiyu Wang; Mohammad Goudarzi; Mingming Gong; Rajkumar Buyya (CoRR, 2023)

Deep Corner. - Shanshan Zhao 001; Mingming Gong; Haimei Zhao; Jing Zhang 037; Dacheng Tao (Int. J. Comput. Vis., 2023)

Instrumental Variable-Driven Domain Generalization with Unobserved Confounders. - Junkun Yuan; Xu Ma; Ruoxuan Xiong; Mingming Gong; Xiangyu Liu; Fei Wu 001; Lanfen Lin; Kun Kuang (ACM Trans. Knowl. Discov. Data, 2023)

FedDAG: Federated DAG Structure Learning. - Erdun Gao; Junjia Chen; Li Shen 008; Tongliang Liu; Mingming Gong; Howard D. Bondell (Trans. Mach. Learn. Res., 2023)

Uncertainty-Aware Clustering for Unsupervised Domain Adaptive Object Re-Identification. - Pengfei Wang 012; Changxing Ding; Wentao Tan; Mingming Gong; Kui Jia; Dacheng Tao (IEEE Trans. Multim., 2023)

Video Joint Modelling Based on Hierarchical Transformer for Co-Summarization. - Haopeng Li; Qiuhong Ke; Mingming Gong; Rui Zhang 003 (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Deep Learning Is Singular, and That's Good. - Susan Wei; Daniel Murfet; Mingming Gong; Hui Li; Jesse Gell-Redman; Thomas Quella (IEEE Trans. Neural Networks Learn. Syst., 2023)

HuTuMotion: Human-Tuned Navigation of Latent Motion Diffusion Models with Minimal Feedback. - Gaoge Han; Shaoli Huang; Mingming Gong; Jinglei Tang (AAAI, 2024)

Grab What You Need: Rethinking Complex Table Structure Recognition with Flexible Components Deliberation. - Hao Liu 003; Xin Li 118; Mingming Gong; Bing Liu; Yunfei Wu; Deqiang Jiang; Yinsong Liu; Xing Sun 001 (AAAI, 2024)

Causal Discovery with Mixed Linear and Nonlinear Additive Noise Models: A Scalable Approach. - Wenqin Liu; Biwei Huang; Erdun Gao; Qiuhong Ke; Howard D. Bondell; Mingming Gong (CLeaR, 2024)

Enhancing Visual Document Understanding with Contrastive Learning in Large Visual-Language Models. - Xin Li 118; Yunfei Wu; Xinghua Jiang; Zhihao Guo; Mingming Gong; Haoyu Cao 001; Yinsong Liu; Deqiang Jiang; Xing Sun 001 (CVPR, 2024)

Part-Aware Unified Representation of Language and Skeleton for Zero-Shot Action Recognition. - Anqi Zhu; Qiuhong Ke; Mingming Gong; James Bailey 001 (CVPR, 2024)

Physics-Informed Knowledge Transfer for Underwater Monocular Depth Estimation. - Jinghe Yang; Mingming Gong; Ye Pu (ECCV (71), 2024)

FreeTalker: Controllable Speech and Text-Driven Gesture Generation Based on Diffusion Models for Enhanced Speaker Naturalness. - Sicheng Yang; Zunnan Xu; Haiwei Xue; Yongkang Cheng; Shaoli Huang; Mingming Gong; Zhiyong Wu 001 (ICASSP, 2024)

A Variational Framework for Estimating Continuous Treatment Effects with Measurement Error. - Erdun Gao; Howard D. Bondell; Wei Huang; Mingming Gong (ICLR, 2024)

Improving Non-Transferable Representation Learning by Harnessing Content and Style. - Ziming Hong; Zhenyi Wang 001; Li Shen 008; Yu Yao 005; Zhuo Huang; Shiming Chen 002; Chuanwu Yang; Mingming Gong; Tongliang Liu (ICLR, 2024)

Identifiable Latent Polynomial Causal Models through the Lens of Change. - Yuhang Liu 002; Zhen Zhang 008; Dong Gong; Mingming Gong; Biwei Huang; Anton van den Hengel; Kun Zhang 001; Javen Qinfeng Shi (ICLR, 2024)

Interventional Fairness on Partially Known Causal Graphs: A Constrained Optimization Approach. - Aoqi Zuo; Yiqing Li 002; Susan Wei; Mingming Gong (ICLR, 2024)

On the Recoverability of Causal Relations from Temporally Aggregated I.I.D. Data. - Shunxing Fan; Mingming Gong; Kun Zhang 001 (ICML, 2024)

Optimal Kernel Choice for Score Function-based Causal Discovery. - Wenjie Wang; Biwei Huang; Feng Liu 003; Xinge You; Tongliang Liu; Kun Zhang 001; Mingming Gong (ICML, 2024)

Self-Distilled Disentangled Learning for Counterfactual Prediction. - Xinshu Li; Mingming Gong; Lina Yao 001 (KDD, 2024)

Neural Collapse Inspired Feature Alignment for Out-of-Distribution Generalization. - Zhikang Chen; Min Zhang 005; Sen Cui; Haoxuan Li 001; Gang Niu 001; Mingming Gong; Changshui Zhang; Kun Zhang 001 (NeurIPS, 2024)

In-N-Out: Lifting 2D Diffusion Prior for 3D Object Removal via Tuning-Free Latents Alignment. - Dongting Hu; Huan Fu; Jiaxian Guo; Liuhua Peng; Tingjin Chu; Feng Liu 003; Tongliang Liu; Mingming Gong (NeurIPS, 2024)

Discovery of the Hidden World with Large Language Models. - Chenxi Liu; Yongqiang Chen 002; Tongliang Liu; Mingming Gong; James Cheng; Bo Han 003; Kun Zhang 001 (NeurIPS, 2024)

Identifiability Analysis of Linear ODE Systems with Hidden Confounders. - Yuanyuan Wang 010; Biwei Huang; Wei Huang; Xi Geng; Mingming Gong (NeurIPS, 2024)

Learning Transferable Representations for Image Anomaly Localization Using Dense Pretraining. - Haitian He; Sarah M. Erfani; Mingming Gong; Qiuhong Ke (WACV, 2024)

Answering from Sure to Uncertain: Uncertainty-Aware Curriculum Learning for Video Question Answering. - Haopeng Li; Qiuhong Ke; Mingming Gong; Tom Drummond (CoRR, 2024)

Revealing Multimodal Contrastive Representation Learning through Latent Partial Causal Models. - Yuhang Liu 002; Zhen Zhang 008; Dong Gong; Biwei Huang; Mingming Gong; Anton van den Hengel; Kun Zhang 001; Javen Qinfeng Shi (CoRR, 2024)

Open-Vocabulary Segmentation with Unpaired Mask-Text Supervision. - Zhaoqing Wang; Xiaobo Xia; Ziye Chen; Xiao He; Yandong Guo; Mingming Gong; Tongliang Liu (CoRR, 2024)

Identifiable Latent Neural Causal Models. - Yuhang Liu 002; Zhen Zhang 008; Dong Gong; Mingming Gong; Biwei Huang; Anton van den Hengel; Kun Zhang 001; Javen Qinfeng Shi (CoRR, 2024)

On the Identification of Temporally Causal Representation with Instantaneous Dependence. - Zijian Li 001; Yifan Shen 004; Kaitao Zheng; Ruichu Cai; Xiangchen Song; Mingming Gong; Zhifeng Hao; Zhengmao Zhu; Guangyi Chen 002; Kun Zhang 001 (CoRR, 2024)

Training-Free Robust Interactive Video Object Segmentation. - Xiaoli Wei; Zhaoqing Wang; Yandong Guo; Chunxia Zhang; Tongliang Liu; Mingming Gong (CoRR, 2024)

Self-Distilled Disentangled Learning for Counterfactual Prediction. - Xinshu Li; Mingming Gong; Lina Yao (CoRR, 2024)

AniFaceDiff: High-Fidelity Face Reenactment via Facial Parametric Conditioned Diffusion Models. - Ken Chen; Sachith Seneviratne; Wei Wang 133; Dongting Hu; Sanjay Saha; Md. Tarek Hasan; Sanka Rasnayaka; Tamasha Malepathirana; Mingming Gong; Saman K. Halgamuge (CoRR, 2024)

CT4D: Consistent Text-to-4D Generation with Animatable Meshes. - Ce Chen; Shaoli Huang; Xuelin Chen; Guangyi Chen 002; Xiaoguang Han 001; Kun Zhang 001; Mingming Gong (CoRR, 2024)

Rethinking State Disentanglement in Causal Reinforcement Learning. - Haiyao Cao; Zhen Zhang 008; Panpan Cai; Yuhang Liu 002; Jinan Zou; Ehsan Abbasnejad; Biwei Huang; Mingming Gong; Anton van den Hengel; Javen Qinfeng Shi (CoRR, 2024)

TED-VITON: Transformer-Empowered Diffusion Models for Virtual Try-On. - Zhenchen Wan; Yanwu Xu 003; Zhaoqing Wang; Feng Liu 003; Tongliang Liu; Mingming Gong (CoRR, 2024)

Revisit Non-parametric Two-sample Testing as a Semi-supervised Learning Problem. - Xunye Tian; Liuhua Peng; Zhijian Zhou; Mingming Gong; Feng Liu (CoRR, 2024)

Urban4D: Semantic-Guided 4D Gaussian Splatting for Urban Scene Reconstruction. - Ziwen Li; Jiaxin Huang; Runnan Chen; Yunlong Che; Yandong Guo; Tongliang Liu; Fakhri Karray; Mingming Gong (CoRR, 2024)

Uncertainty Quantification in Stereo Matching. - Wenxiao Cai; Dongting Hu; Ruoyan Yin; Jiankang Deng; Huan Fu; Wankou Yang; Mingming Gong (CoRR, 2024)

Identifiability and Asymptotics in Learning Homogeneous Linear ODE Systems from Discrete Observations. - Yuanyuan Wang 010; Wei Huang; Mingming Gong; Xi Geng; Tongliang Liu; Kun Zhang 001; Dacheng Tao (J. Mach. Learn. Res., 2024)

Causal-learn: Causal Discovery in Python. - Yujia Zheng 001; Biwei Huang; Wei Chen 103; Joseph D. Ramsey; Mingming Gong; Ruichu Cai; Shohei Shimizu; Peter Spirtes; Kun Zhang 001 (J. Mach. Learn. Res., 2024)

Collaborative compensative transformer network for salient object detection. - Jun Chen; Heye Zhang; Mingming Gong; Zhifan Gao (Pattern Recognit., 2024)

Efficient neural implicit representation for 3D human reconstruction. - Zexu Huang; Sarah Monazam Erfani; Siying Lu; Mingming Gong (Pattern Recognit., 2024)

Style Interleaved Learning for Generalizable Person Re-Identification. - Wentao Tan; Changxing Ding; Pengfei Wang 012; Mingming Gong; Kui Jia (IEEE Trans. Multim., 2024)

Deep Reinforcement Learning-based scheduling for optimizing system load and response time in edge and fog computing environments. - Zhiyu Wang; Mohammad Goudarzi; Mingming Gong; Rajkumar Buyya (Future Gener. Comput. Syst., 2024)

Convex-Concave Tensor Robust Principal Component Analysis. - Youfa Liu; Bo Du 001; Yongyong Chen; Lefei Zhang; Mingming Gong; Dacheng Tao (Int. J. Comput. Vis., 2024)

3D Scene Creation and Rendering via Rough Meshes: A Lighting Transfer Avenue. - Bowen Cai 001; Yujie Li; Yuqin Liang; Rongfei Jia; Binqiang Zhao; Mingming Gong; Huan Fu (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

DIDiffGes: Decoupled Semi-Implicit Diffusion Models for Real-time Gesture Generation from Speech. - Yongkang Cheng; Shaoli Huang; Xuelin Chen; Jifeng Ning; Mingming Gong (AAAI, 2025)

SnapGen: Taming High-Resolution Text-to-Image Models for Mobile Devices with Efficient Architectures and Training. - Jierun Chen; Dongting Hu; Xijie Huang; Huseyin Coskun; Arpit Sahni; Aarush Gupta; Anujraaj Goyal; Dishani Lahiri; Rajesh Singh; Yerlan Idelbayev; Junli Cao; Yanyu Li; et al. (CVPR, 2025)

UNIC-Adapter: Unified Image-instruction Adapter with Multi-modal Transformer for Image Generation. - Lunhao Duan; Shanshan Zhao 001; Wenjun Yan; Yinglun Li; Qing-Guo Chen; Zhao Xu; Weihua Luo; Kaifu Zhang; Mingming Gong; Gui-Song Xia (CVPR, 2025)

LaVin-DiT: Large Vision Diffusion Transformer. - Zhaoqing Wang; Xiaobo Xia; Runnan Chen; Dongdong Yu; Changhu Wang; Mingming Gong; Tongliang Liu (CVPR, 2025)

Semantic-guided Cross-Modal Prompt Learning for Skeleton-based Zero-shot Action Recognition. - Anqi Zhu; Jingmin Zhu; James Bailey 001; Mingming Gong; Qiuhong Ke (CVPR, 2025)

On the Identification of Temporal Causal Representation with Instantaneous Dependence. - Zijian Li 001; Yifan Shen 004; Kaitao Zheng; Ruichu Cai; Xiangchen Song; Mingming Gong; Guangyi Chen 002; Kun Zhang 001 (ICLR, 2025)

Analytic DAG Constraints for Differentiable DAG Learning. - Zhen Zhang 008; Ignavier Ng; Dong Gong; Yuhang Liu 002; Mingming Gong; Biwei Huang; Kun Zhang 001; Anton van den Hengel; Javen Qinfeng Shi (ICLR, 2025)

LoCA: Location-Aware Cosine Adaptation for Parameter-Efficient Fine-Tuning. - Zhekai Du; Yinjie Min; Jingjing Li; Ke Lu; Changliang Zou; Liuhua Peng; Tingjin Chu; Mingming Gong (ICLR, 2025)

A Skewness-Based Criterion for Addressing Heteroscedastic Noise in Causal Discovery. - Yingyu Lin; Yuxing Huang; Wenqin Liu; Haoran Deng; Ignavier Ng; Kun Zhang 001; Mingming Gong; Yian Ma; Biwei Huang (ICLR, 2025)

Optimal Transport for Time Series Imputation. - Hao Wang 049; Zhengnan Li; Haoxuan Li 001; Xu Chen 017; Mingming Gong; BinChen; Zhichao Chen 001 (ICLR, 2025)

A Robust Method to Discover Causal or Anticausal Relation. - Yu Yao 005; Yang Zhou; Bo Han 003; Mingming Gong; Kun Zhang 001; Tongliang Liu (ICLR, 2025)

A Two-Stage Pretraining-Finetuning Framework for Treatment Effect Estimation with Unmeasured Confounding. - Chuan Zhou 013; Yaxuan Li 002; Chunyuan Zheng 001; Haiteng Zhang; Min Zhang 005; Haoxuan Li 001; Mingming Gong (KDD (1), 2025)

A Unified Data Representation Learning for Non-parametric Two-sample Testing. - Xunye Tian; Liuhua Peng; Zhijian Zhou; Mingming Gong; Arthur Gretton; Feng Liu 003 (UAI, 2025)

Universal Synchronization Loss Optimization in DETR-Based Oriented and Rotated Object Detection. - Gang Liu; Qingchen Yu; Mingming Gong; Hao Yang (IEEE Access, 2025)

Latent Covariate Shift: Unlocking Partial Identifiability for Multi-Source Domain Adaptation. - Yuhang Liu 002; Zhen Zhang 008; Dong Gong; Mingming Gong; Biwei Huang; Anton van den Hengel; Kun Zhang 001; Javen Qinfeng Shi (Trans. Mach. Learn. Res., 2025)

Federated Generalized Novel Category Discovery with Prompts Tuning. - Lei Shen; Nan Pu; Zhun Zhong; Mingming Gong; Dianhai Yu; Chengqi Zhang; Bo Han 003 (Trans. Mach. Learn. Res., 2025)

STBA: Towards Evaluating the Robustness of DNNs for Query-Limited Black-Box Scenario. - Renyang Liu 001; Kwok-Yan Lam; Wei Zhou 011; Sixing Wu; Jun Zhao 007; Dongting Hu; Mingming Gong (IEEE Trans. Multim., 2025)

OVGaussian: Generalizable 3D Gaussian Segmentation with Open Vocabularies. - Runnan Chen; Xiangyu Sun; Zhaoqing Wang; Youquan Liu; Jiepeng Wang 001; Lingdong Kong; Jiankang Deng; Mingming Gong; Liang Pan; Wenping Wang 001; Tongliang Liu (CoRR, 2025)

PanoSLAM: Panoptic 3D Scene Reconstruction via Gaussian SLAM. - Runnan Chen; Zhaoqing Wang; Jiepeng Wang 001; Yuexin Ma; Mingming Gong; Wenping Wang 001; Tongliang Liu (CoRR, 2025)

Admitting Ignorance Helps the Video Question Answering Models to Answer. - Haopeng Li; Tom Drummond; Mingming Gong; Mohammed Bennamoun; Qiuhong Ke (CoRR, 2025)

A Partial Initialization Strategy to Mitigate the Overfitting Problem in CATE Estimation with Hidden Confounding. - Chuan Zhou; Yaxuan Li; Chunyuan Zheng; Haiteng Zhang; Haoxuan Li; Mingming Gong (CoRR, 2025)

Safety at Scale: A Comprehensive Survey of Large Model Safety. - Xingjun Ma; Yifeng Gao; Yixu Wang; Ruofan Wang; Xin Wang; Ye Sun; Yifan Ding; Hengyuan Xu; Yunhao Chen; Yunhan Zhao; Hanxun Huang; Yige Li; et al. (CoRR, 2025)

MF-VITON: High-Fidelity Mask-Free Virtual Try-On with Minimal Input. - Zhenchen Wan; Yanwu Xu 003; Dongting Hu; Weilun Cheng; Tianxi Chen; Zhaoqing Wang; Feng Liu 003; Tongliang Liu; Mingming Gong (CoRR, 2025)

I Predict Therefore I Am: Is Next Token Prediction Enough to Learn Human-Interpretable Concepts from Data? - Yuhang Liu 002; Dong Gong; Erdun Gao; Zhen Zhang 008; Biwei Huang; Mingming Gong; Anton van den Hengel; Javen Qinfeng Shi (CoRR, 2025)

Hyper3D: Efficient 3D Representation via Hybrid Triplane and Octree Feature for Enhanced 3D Shape Variational Auto-Encoders. - Jingyu Guo; Sensen Gao; Jia-Wang Bian; Wanhu Sun; Heliang Zheng; Rongfei Jia; Mingming Gong (CoRR, 2025)

ProtoGS: Efficient and High-Quality Rendering with 3D Gaussian Prototypes. - Zhengqing Gao; Dongting Hu; Jia-Wang Bian; Huan Fu; Yan Li 099; Tongliang Liu; Mingming Gong; Kun Zhang 001 (CoRR, 2025)

MLLM-For3D: Adapting Multimodal Large Language Model for 3D Reasoning Segmentation. - Jiaxin Huang; Runnan Chen; Ziwen Li; Zhengqing Gao; Xiao He; Yandong Guo; Mingming Gong; Tongliang Liu (CoRR, 2025)

Agent-Centric Personalized Multiple Clustering with Multi-Modal LLMs. - Ziye Chen; Yiqun Duan; Riheng Zhu; Zhenbang Sun; Mingming Gong (CoRR, 2025)

Alignclip: navigating the misalignments for robust vision-language generalization. - Zhongyi Han; Gongxu Luo; Hao Sun; Yaqian Li; Bo Han 003; Mingming Gong; Kun Zhang 001; Tongliang Liu (Mach. Learn., 2025)

Multi-Domain Adversarial Variational Bayesian Inference for Domain Generalization. - Zhifan Gao; Saidi Guo; Chenchu Xu; Jinglin Zhang; Mingming Gong; Javier Del Ser; Shuo Li 001 (IEEE Trans. Circuits Syst. Video Technol., 2025)

Semi-Supervised Learning Under General Causal Models. - Archer Moore; Heejung Shim; Jingge Zhu; Mingming Gong (IEEE Trans. Neural Networks Learn. Syst., 2025)

Enhancing Treatment Effect Estimation via Active Learning: A Counterfactual Covering Perspective. - Hechuan Wen; Tong Chen 005; Mingming Gong; Li Kheng Chai; Shazia Sadiq; Hongzhi Yin (CoRR, 2025)

Advances in Radiance Field for Dynamic Scene: From Neural Field to Gaussian Field. - Jinlong Fan; Xuepu Zeng; Jing Zhang 037; Mingming Gong; Yuxiang Yang 001; Dacheng Tao (CoRR, 2025)

Intern-GS: Vision Model Guided Sparse-View 3D Gaussian Splatting. - Xiangyu Sun; Runnan Chen; Mingming Gong; Dong Xu 001; Tongliang Liu (CoRR, 2025)

Estimating the Effects of Sample Training Orders for Large Language Models without Retraining. - Hao Yang; Haoxuan Li; Mengyue Yang; Xu Chen; Mingming Gong (CoRR, 2025)

Projection Pursuit Density Ratio Estimation. - Meilin Wang; Wei Huang; Mingming Gong; Zheng Zhang (CoRR, 2025)

Mitigating Hidden Confounding by Progressive Confounder Imputation via Large Language Models. - Hao Yang; Haoxuan Li; Luyu Chen; Haoxiang Wang; Xu Chen; Mingming Gong (CoRR, 2025)

DREAM: Document Reconstruction via End-to-end Autoregressive Model. - Xin Li 118; Mingming Gong; Yunfei Wu; Jianxin Dai; Antai Guo; Xinghua Jiang; Haoyu Cao 001; Yinsong Liu; Deqiang Jiang; Xing Sun 001 (CoRR, 2025)

SURPRISE3D: A Dataset for Spatial Understanding and Reasoning in Complex 3D Scenes. - Jiaxin Huang; Ziwen Li; Hanlve Zhang; Runnan Chen; Xiao He; Yandong Guo; Wenping Wang 001; Tongliang Liu; Mingming Gong (CoRR, 2025)

Causality-aligned Prompt Learning via Diffusion-based Counterfactual Generation. - Xinshu Li; Ruoyu Wang 038; Erdun Gao; Mingming Gong; Lina Yao 001 (CoRR, 2025)

Knowledge Distillation for Underwater Feature Extraction and Matching via GAN-Synthesized Images. - Jinghe Yang; Mingming Gong; Ye Pu (IEEE Robotics Autom. Lett., 2025)

AniFaceDiff: Animating stylized avatars via parametric conditioned diffusion models. - Ken Chen; Sachith Seneviratne; Wei Wang 133; Dongting Hu; Sanjay Saha; Md. Tarek Hasan; Sanka Rasnayaka; Tamasha Malepathirana; Mingming Gong; Saman K. Halgamuge (Pattern Recognit., 2026)