3D realistic talking face co-driven by text and speech. - Mingli Song; Chun Chen 001; Jiajun Bu; Ronghua Liang (SMC, 2003)

Audio-Visual Based Emotion Recognition - A New Approach. - Mingli Song; Jiajun Bu; Chun Chen 001; Nan Li (CVPR (2), 2004)

Audio-visual based emotion recognition using tripled hidden Markov model. - Mingli Song; Chun Chen 001; Mingyu You (ICASSP (5), 2004)

Speech Emotion Recognition and Intensity Estimation. - Mingli Song; Chun Chen 001; Jiajun Bu; Mingyu You (ICCSA (4), 2004)

Speech Driven Facial Animation Using Chinese Mandarin Pronunciation Rules. - Mingyu You; Jiajun Bu; Chun Chen 001; Mingli Song (ICCSA (3), 2004)

Semi-Videoconference System Using Real-Time Wireless Technologies. - Cheng Jin 001; Jiajun Bu; Chun Chen 001; Mingli Song; Mingyu You (ICESS, 2004)

Sketch Based Facial Expression Recognition Using Graphics Hardware. - Jiajun Bu; Mingli Song; Qi Wu 014; Chun Chen 001; Cheng Jin 001 (ACII, 2005)

Real-Time Facial Expression Mapping for High Resolution 3D Meshes. - Mingli Song; Zicheng Liu 001; Baining Guo (Computer Graphics International, 2006)

EigenExpress Approach in Recognition of Facial Expression Using GPU. - Qi Wu 014; Mingli Song; Jiajun Bu; Chun Chen 001 (ECCV Workshop on HCI, 2006)

Painterly Rendering with Vector Field Based Feature Extraction. - Chen Pang; Mingli Song; Jiajun Bu; Chun Chen 001; Dong Wang (ICAT, 2006)

An Enhanced Speech Emotion Recognition System Based on Discourse Information. - Chun Chen 001; Mingyu You; Mingli Song; Jiajun Bu; Jia Liu 030 (International Conference on Computational Science (1), 2006)

Multiple-Reference-Frame Based Fast Motion Estimation & Mode Decision for H.263-to-H.264 Transcoder. - Jiajun Bu; Linjian Mo; Chun Chen 001; Zhi Yang; Mingli Song (ICIP, 2006)

Subtle Facial Expression Modeling with Vector Field Decomposition. - Mingli Song; Huiqiong Wang; Jiajun Bu; Chun Chen 001; Zicheng Liu 001 (ICIP, 2006)

Local Laplacian Detail Learning for Face Aging Manipulation. - Mingli Song; Huiqiong Wang; Chun Chen 001 (Int. J. Image Graph., 2007)

A Generic Framework for Efficient 2-D and 3-D Facial Expression Analogy. - Mingli Song; Zhao Dong 001; Christian Theobalt; Huiqiong Wang; Zicheng Liu 001; Hans-Peter Seidel (IEEE Trans. Multim., 2007)

Speech Emotion Classification on a Riemannian Manifold. - Chengxi Ye; Jia Liu 030; Chun Chen 001; Mingli Song; Jiajun Bu (PCM, 2008)

Avatar motion control by natural body movement via camera. - Na Li; Chun Chen 001; Qiang Wang 051; Mingli Song; Dacheng Tao; Xuelong Li 001 (Neurocomputing, 2008)

A robust multimodal approach for emotion recognition. - Mingli Song; Mingyu You; Na Li; Chun Chen 001 (Neurocomputing, 2008)

Bayesian Tensor Approach for 3-D Face Modeling. - Dacheng Tao; Mingli Song; Xuelong Li 001; Jialie Shen 001; Jimeng Sun 001; Xindong Wu 001; Christos Faloutsos; Stephen J. Maybank (IEEE Trans. Circuits Syst. Video Technol., 2008)

Progressive Image Color Neutralization Based on Adaptive Histogram Clustering. - Jian Zhang; Rui Sun; Chuan Yang; Mingli Song (ICIG, 2009)

Visual attention analysis by pseudo gravitational field. - Yezhou Yang; Mingli Song; Na Li; Jiajun Bu; Chun Chen 001 (ACM Multimedia, 2009)

Feature selection for fast speech emotion recognition. - Luming Zhang; Mingli Song; Na Li; Jiajun Bu; Chun Chen 001 (ACM Multimedia, 2009)

Implicit Surface Reconstruction with an Analogy of Polar Field Model. - Yuxu Lin; Chun Chen 001; Mingli Song; Jiajun Bu; Zicheng Liu 001 (PSIVT, 2009)

Viewpoint Independent Vehicle Speed Estimation From Uncalibrated Traffic Surveillance Cameras. - Haili Mao; Chengxi Ye; Mingli Song; Jiajun Bu; Na Li (SMC, 2009)

The Development of Fuzzy Rough Sets with the Use of Structures and Algebras of Axiomatic Fuzzy Sets. - Xiaodong Liu 001; Witold Pedrycz; Tianyou Chai; Mingli Song (IEEE Trans. Knowl. Data Eng., 2009)

Dual-RBF based surface reconstruction. - Yuxu Lin; Chun Chen 001; Mingli Song; Zicheng Liu 001 (Vis. Comput., 2009)

kPose: A New Representation For Action Recognition. - Zhuoli Zhou; Mingli Song; Luming Zhang; Dacheng Tao; Jiajun Bu; Chun Chen 001 (ACCV (3), 2010)

Large-scale Dictionary Learning For Local Coordinate Coding. - Bo Xie 002; Mingli Song; Dacheng Tao (BMVC, 2010)

What Is the Chance of Happening: A New Way to Predict Where People Look. - Yezhou Yang; Mingli Song; Na Li; Jiajun Bu; Chun Chen 001 (ECCV (5), 2010)

Random Projection Tree and Multiview Embedding for Large-Scale Image Retrieval. - Bo Xie 002; Yang Mu; Mingli Song; Dacheng Tao (ICONIP (2), 2010)

Face Aging by Sparse Representation. - Heng Huang; Yuxu Lin; Mingli Song; Jiajun Bu; Chun Chen 001 (PCM (2), 2010)

Color to Gray: Visual Cue Preservation. - Mingli Song; Dacheng Tao; Chun Chen 001; Xuelong Li 001; Chang Wen Chen (IEEE Trans. Pattern Anal. Mach. Intell., 2010)

Image Ratio Features for Facial Expression Recognition Application. - Mingli Song; Dacheng Tao; Zicheng Liu 001; Xuelong Li 001; Mengchu Zhou (IEEE Trans. Syst. Man Cybern. Part B, 2010)

Visual-Context Boosting for Eye Detection. - Mingli Song; Dacheng Tao; Zhuo Sun; Xuelong Li 001 (IEEE Trans. Syst. Man Cybern. Part B, 2010)

Automatic image cropping using sparse coding. - Jieying She; Duo Wang; Mingli Song (ACPR, 2011)

Fast Multi-view Graph Kernels for Object Classification. - Luming Zhang; Mingli Song; Jiajun Bu; Chun Chen 001 (Australasian Conference on Artificial Intelligence, 2011)

Large-scale Outdoor Scene Classification by Boosting a Set of Highly Discriminative and Low Redundant Graphlets. - Luming Zhang; Mingli Song; Xiaoyu Deng; Jiajun Bu; Chun Chen 001 (ICDM Workshops, 2011)

Opponent and Feedback: Visual Attention Captured. - Senlin Wang; Mingli Song; Dacheng Tao; Luming Zhang; Jiajun Bu; Chun Chen 001 (ICONIP (3), 2011)

Integrating Local Features into Discriminative Graphlets for Scene Classification. - Luming Zhang; Wei Bian; Mingli Song; Dacheng Tao; Xiao Liu 012 (ICONIP (3), 2011)

Feature Relationships Hypergraph for Multimodal Recognition. - Luming Zhang; Mingli Song; Wei Bian; Dacheng Tao; Xiao Liu 012; Jiajun Bu; Chun Chen 001 (ICONIP (1), 2011)

Describing Human Identity Using Attributes. - Zhuoli Zhou; Jiajun Bu; Dacheng Tao; Luming Zhang; Mingli Song; Chun Chen 001 (ICONIP (3), 2011)

Real-time speech-driven animation of expressive talking faces. - Jia Liu 030; Mingyu You; Chun Chen 001; Mingli Song (Int. J. Gen. Syst., 2011)

An efficient approach to content-based object retrieval in videos. - Chaoqun Hong; Na Li; Mingli Song; Jiajun Bu; Chun Chen 001 (Neurocomputing, 2011)

Feature level analysis for 3D facial expression recognition. - Teng Sha; Mingli Song; Jiajun Bu; Chun Chen 001; Dacheng Tao (Neurocomputing, 2011)

From local neural networks to granular neural networks: A study in information granulation. - Mingli Song; Witold Pedrycz (Neurocomputing, 2011)

Analytic Hierarchy Process (AHP) in Group Decision Making and its Optimization With an Allocation of Information Granularity. - Witold Pedrycz; Mingli Song (IEEE Trans. Fuzzy Syst., 2011)

Face sketch-to-photo synthesis from simple line drawing. - Yang Liang; Mingli Song; Lei Xie; Jiajun Bu; Chun Chen 001 (APSIPA, 2012)

Pedestrian detection using a mixture mask model. - Xiao Liu 012; Mingli Song; Luming Zhang; Dacheng Tao; Jiajun Bu; Chun Chen 001 (ICNSC, 2012)

Learning Visual Saliency Based on Object's Relative Relationship. - Senlin Wang; Qi Zhao; Mingli Song; Jiajun Bu; Chun Chen 001; Dacheng Tao (ICONIP (5), 2012)

Realtime object matching with robust dominant orientation templates. - Chaoqun Hong; Jianke Zhu; Mingli Song; Yinting Wang (ICPR, 2012)

Joint shot boundary detection and key frame extraction. - Xiao Liu 012; Mingli Song; Luming Zhang; Senlin Wang; Jiajun Bu; Chun Chen 001; Dacheng Tao (ICPR, 2012)

Detecting discontinuities for surface reconstruction. - Yinting Wang; Jiajun Bu; Na Li; Mingli Song; Ping Tan (ICPR, 2012)

Spatial graphlet matching kernel for recognizing aerial image categories. - Luming Zhang; Mingli Song; Li Sun; Xiao Liu 012; Yinting Wang; Dacheng Tao; Jiajun Bu; Chun Chen 001 (ICPR, 2012)

Pose Estimation with Motionlet LLC Coding. - Li Sun; Mingli Song; Jiajun Bu; Chun Chen 001 (PCM, 2012)

A genetic reduction of feature space in the design of fuzzy models. - Witold Pedrycz; Mingli Song (Appl. Soft Comput., 2012)

Sparse Coding for Flexible, Robust 3D Facial-Expression Synthesis. - Yuxu Lin; Mingli Song; Dao Thi Phuong Quynh; Ying He 001; Chun Chen 001 (IEEE Computer Graphics and Applications, 2012)

Spectral Graph Cut from a Filtering Point of View - Chengxi Ye; Yuxu Lin; Mingli Song; Chun Chen 001; David W. Jacobs (CoRR, 2012)

Granular fuzzy models: a study in knowledge management in fuzzy modeling. - Witold Pedrycz; Mingli Song (Int. J. Approx. Reason., 2012)

Video-based non-uniform object motion blur estimation and deblurring. - Xiaoyu Deng; Yan Shen; Mingli Song; Dacheng Tao; Jiajun Bu; Chun Chen 001 (Neurocomputing, 2012)

Graph based transductive learning for cartoon correspondence construction. - Jun Yu 002; Wei Bian; Mingli Song; Jun Cheng 002; Dacheng Tao (Neurocomputing, 2012)

Image-based facial sketch-to-photo synthesis via online coupled dictionary learning. - Mingli Song; Chun Chen 001; Jiajun Bu; Teng Sha (Inf. Sci., 2012)

Attribute-restricted latent topic model for person re-identification. - Xiao Liu 012; Mingli Song; Qi Zhao; Dacheng Tao; Chun Chen 001; Jiajun Bu (Pattern Recognit., 2012)

Probabilistic Exposure Fusion. - Mingli Song; Dacheng Tao; Chun Chen 001; Jiajun Bu; Jiebo Luo 001; Chengqi Zhang (IEEE Trans. Image Process., 2012)

Three-Dimensional Face Reconstruction From a Single Image by a Coupled RBF Network. - Mingli Song; Dacheng Tao; Xiaoqin Huang; Chun Chen 001; Jiajun Bu (IEEE Trans. Image Process., 2012)

Personalized 3-D facial expression synthesis based on landmark constraint. - Haoran Liang 001; Mingli Song; Lei Xie; Ronghua Liang (APSIPA, 2013)

A capture-to-display delay measurement system for visual communication applications. - Chao Wei; Haoming Chen; Mingli Song; Ming-Ting Sun; Kevin Lau (APSIPA, 2013)

Semi-supervised Node Splitting for Random Forest Construction. - Xiao Liu 012; Mingli Song; Dacheng Tao; Zicheng Liu 001; Luming Zhang; Chun Chen 001; Jiajun Bu (CVPR, 2013)

Probabilistic Graphlet Cut: Exploiting Spatial Structure Cue for Weakly Supervised Image Segmentation. - Luming Zhang; Mingli Song; Zicheng Liu 001; Xiao Liu 012; Jiajun Bu; Chun Chen 001 (CVPR, 2013)

A development of granular logic neural networks. - Mingli Song; Yongbin Wang; Shujuan Wang (IFSA/NAFIPS, 2013)

Leveraging Human Fixations in Sparse Coding: Learning a Discriminative Dictionary for Saliency Prediction. - Ming Jiang 019; Mingli Song; Qi Zhao 001 (SMC, 2013)

Sparse Camera Network for Visual Surveillance – A Comprehensive Survey - Mingli Song; Dacheng Tao; Stephen J. Maybank (CoRR, 2013)

Sparse Norm Filtering - Chengxi Ye; Dacheng Tao; Mingli Song; David W. Jacobs; Min Wu (CoRR, 2013)

LF-EME: Local features with elastic manifold embedding for human action recognition. - Xiaoyu Deng; Xiao Liu 012; Mingli Song; Jun Cheng 002; Jiajun Bu; Chun Chen 001 (Neurocomputing, 2013)

Color-to-gray based on chance of happening preservation. - Mingli Song; Dapeng Tao; Chun Chen 001; Jiajun Bu; Yezhou Yang (Neurocomputing, 2013)

Fast multi-view segment graph kernel for object classification. - Luming Zhang; Mingli Song; Xiao Liu 012; Jiajun Bu; Chun Chen 001 (Signal Process., 2013)

Joint Sparse Learning for 3-D Facial Expression Generation. - Mingli Song; Dacheng Tao; Shengpeng Sun; Chun Chen 001; Jiajun Bu (IEEE Trans. Image Process., 2013)

Discovering Discriminative Graphlets for Aerial Image Categories Recognition. - Luming Zhang; Yahong Han; Yi Yang 001; Mingli Song; Shuicheng Yan; Qi Tian 001 (IEEE Trans. Image Process., 2013)

Probabilistic Graphlet Transfer for Photo Cropping. - Luming Zhang; Mingli Song; Qi Zhao; Xiao Liu 012; Jiajun Bu; Chun Chen 001 (IEEE Trans. Image Process., 2013)

Granular Neural Networks: Concepts and Development Schemes. - Mingli Song; Witold Pedrycz (IEEE Trans. Neural Networks Learn. Syst., 2013)

Semi-supervised Coupled Dictionary Learning for Person Re-identification. - Xiao Liu 012; Mingli Song; Dacheng Tao; Xingchen Zhou; Chun Chen 001; Jiajun Bu (CVPR, 2014)

Weakly Supervised Multiclass Video Segmentation. - Xiao Liu 012; Dacheng Tao; Mingli Song; Ying Ruan; Chun Chen 001; Jiajun Bu (CVPR, 2014)

Video Summarization based on Nonnegative Linear Reconstruction. - Qiao Luan; Mingli Song; Chu Yee Liau; Jiajun Bu; Zicheng Liu 001; Ming-Ting Sun (ICME, 2014)

Realtime gaze estimation with online calibration. - Li Sun; Mingli Song; Zicheng Liu 001; Ming-Ting Sun (ICME, 2014)

Humanoid Robot Imitation with Pose Similarity Metric Learning. - Jie Lei 002; Mingli Song; Ze-Nian Li; Chun Chen 001; Xianghua Xu; Shiliang Pu (ICPR, 2014)

Real-Time Gaze Estimation with Online Calibration. - Li Sun; Mingli Song; Zicheng Liu 001; Ming-Ting Sun (IEEE Multim., 2014)

A granulation of linguistic information in AHP decision-making problems. - Witold Pedrycz; Mingli Song (Inf. Fusion, 2014)

Low-level and high-level prior learning for visual saliency estimation. - Mingli Song; Chun Chen 001; Senlin Wang; Yezhou Yang (Inf. Sci., 2014)

Recognizing architecture styles by hierarchical sparse coding of blocklets. - Luming Zhang; Mingli Song; Xiao Liu 012; Li Sun; Chun Chen 001; Jiajun Bu (Inf. Sci., 2014)

Grassmann multimodal implicit feature selection. - Luming Zhang; Dapeng Tao; Xiao Liu 012; Li Sun; Mingli Song; Chun Chen 001 (Multim. Syst., 2014)

Motionlet LLC coding for discriminative human pose estimation. - Li Sun; Mingli Song; Dapeng Tao; Jiajun Bu; Chun Chen 001 (Multim. Tools Appl., 2014)

Robust 3D Face Landmark Localization Based on Local Coordinate Coding. - Mingli Song; Dacheng Tao; Shengpeng Sun; Chun Chen 001; Stephen J. Maybank (IEEE Trans. Image Process., 2014)

Video Tonal Stabilization via Color States Smoothing. - Yinting Wang; Dacheng Tao; Xiang Li; Mingli Song; Jiajun Bu; Ping Tan (IEEE Trans. Image Process., 2014)

Weakly Supervised Photo Cropping. - Luming Zhang; Mingli Song; Yi Yang 001; Qi Zhao; Chen Zhao; Nicu Sebe (IEEE Trans. Multim., 2014)

Colorization for Gray Scale Facial Image by Locality-Constrained Linear Coding. - Yang Liang; Mingli Song; Jiajun Bu; Chun Chen 001 (J. Signal Process. Syst., 2014)

Chart classification by combining deep convolutional networks and deep belief networks. - Xiao Liu 012; Binbin Tang; Zhenyang Wang; Xianghua Xu; Shiliang Pu; Dapeng Tao; Mingli Song (ICDAR, 2015)

Human centricity and information granularity in the agenda of theories and applications of soft computing. - Mingli Song; Yongbin Wang (Appl. Soft Comput., 2015)

Multi-task proximal support vector machine. - Ya Li; Xinmei Tian 001; Mingli Song; Dacheng Tao (Pattern Recognit., 2015)

Whole-body humanoid robot imitation with pose similarity evaluation. - Jie Lei 002; Mingli Song; Ze-Nian Li; Chun Chen 001 (Signal Process., 2015)

Random Geometric Prior Forest for Multiclass Object Segmentation. - Xiao Liu 012; Mingli Song; Dacheng Tao; Jiajun Bu; Chun Chen 001 (IEEE Trans. Image Process., 2015)

Random Forest Construction With Robust Semisupervised Node Splitting. - Xiao Liu 012; Mingli Song; Dacheng Tao; Zicheng Liu 001; Luming Zhang; Chun Chen 001; Jiajun Bu (IEEE Trans. Image Process., 2015)

Where2Stand: A Human Position Recommendation System for Souvenir Photography. - Yinting Wang; Mingli Song; Dacheng Tao; Yong Rui; Jiajun Bu; Ah Chung Tsoi; Shaojie Zhuo; Ping Tan (ACM Trans. Intell. Syst. Technol., 2015)

Learning to Track Multiple Targets. - Xiao Liu 012; Dacheng Tao; Mingli Song; Luming Zhang; Jiajun Bu; Chun Chen 001 (IEEE Trans. Neural Networks Learn. Syst., 2015)

An improvement of partheno-genetic algorithm to solve multiple travelling salesmen problem. - Honglu Zhou; Mingli Song (ICIS, 2016)

Which face is more attractive? - Jie Lei 002; Zunlei Feng; Mingli Song; Dacheng Tao (ICIP, 2016)

Learning deep classifiers with deep features. - Jie Lei 002; Xinhui Song; Li Sun; Mingli Song; Na Li; Chun Chen 001 (ICME, 2016)

Category driven deep recurrent neural network for video summarization. - Xinhui Song; Ke Chen 005; Jie Lei 002; Li Sun; Zhiyuan Wang; Lei Xie; Mingli Song (ICME Workshops, 2016)

Deep neural network derived bottleneck features for accurate audio classification. - Bihong Zhang; Lei Xie 001; Yougen Yuan; Huaiping Ming; Dong-Yan Huang; Mingli Song (ICME Workshops, 2016)

Automatic Color Image Enhancement Using Double Channels. - Na Li; Zhao Liu; Jie Lei 002; Mingli Song; Jiajun Bu (PCM (2), 2016)

Event-based large scale surveillance video summarization. - Xinhui Song; Li Sun; Jie Lei 002; Dapeng Tao; Guanhong Yuan; Mingli Song (Neurocomputing, 2016)

DeepChart: Combining deep convolutional networks and deep belief networks in chart classification. - Binbin Tang; Xiao Liu 012; Jie Lei 002; Mingli Song; Dapeng Tao; Shuifa Sun; Fangmin Dong (Signal Process., 2016)

Coupled Dictionary Learning for the Detail-Enhanced Synthesis of 3-D Facial Expressions. - Haoran Liang 001; Ronghua Liang; Mingli Song; Xiaofei He 001 (IEEE Trans. Cybern., 2016)

Person Re-Identification by Dual-Regularized KISS Metric Learning. - Dapeng Tao; Yanan Guo 003; Mingli Song; Yaotang Li; Zhengtao Yu 001; Yuan Yan Tang (IEEE Trans. Image Process., 2016)

Manifold Ranking-Based Matrix Factorization for Saliency Detection. - Dapeng Tao; Jun Cheng 002; Mingli Song; Xu Lin (IEEE Trans. Neural Networks Learn. Syst., 2016)

Towards Deeper Insights into Deep Learning from Imbalanced Data. - Jie Song 011; Yun Shen; Yongcheng Jing; Mingli Song (CCCV (1), 2017)

Graph-based color Gamut Mapping using neighbor metric. - Zunlei Feng; Yongcheng Jing; Chengyi Zhang; Rui Xu; Jie Lei 002; Mingli Song (ICME, 2017)

Neural Style Transfer: A Review. - Yongcheng Jing; Yezhou Yang; Zunlei Feng; Jingwen Ye; Mingli Song (CoRR, 2017)

TripletGAN: Training Generative Model with Triplet Loss. - Gongze Cao; Yezhou Yang; Jie Lei 002; Cheng Jin 001; Yang Liu 212; Mingli Song (CoRR, 2017)

Analysis of spatiotemporal data relationship using information granules. - Mingli Song; Wenqian Shang; Lidong Wang; Witold Pedrycz (Int. J. Mach. Learn. Cybern., 2017)

Algorithm-Dependent Generalization Bounds for Multi-Task Learning. - Tongliang Liu; Dacheng Tao; Mingli Song; Stephen J. Maybank (IEEE Trans. Pattern Anal. Mach. Intell., 2017)

AllFocus: Patch-Based Video Out-of-Focus Blur Reconstruction. - Yinting Wang; Zhenyang Wang; Dapeng Tao; Shaojie Zhuo; Xianghua Xu; Shiliang Pu; Mingli Song (IEEE Trans. Circuits Syst. Video Technol., 2017)

Robust, Efficient Depth Reconstruction With Hierarchical Confidence-Based Matching. - Li Sun; Ke Chen 005; Mingli Song; Dacheng Tao; Gang Chen 001; Chun Chen 001 (IEEE Trans. Image Process., 2017)

Understanding the Prediction Process of Deep Networks by Forests. - Jie Lei 002; Zhe Wang 001; Zunlei Feng; Mingli Song; Jiajun Bu (BigMM, 2018)

Value-Aware Resampling and Loss for Imbalanced Classification. - Li Sun; Jie Song 011; Cheng Hua; Chengchao Shen; Mingli Song (CSAE, 2018)

Transductive Unbiased Embedding for Zero-Shot Learning. - Jie Song 011; Chengchao Shen; Yezhou Yang; Yang Liu 212; Mingli Song (CVPR, 2018)

Stroke Controllable Fast Style Transfer with Adaptive Receptive Fields. - Yongcheng Jing; Yang Liu 212; Yezhou Yang; Zunlei Feng; Yizhou Yu; Dacheng Tao; Mingli Song (ECCV (13), 2018)

Selective Zero-Shot Classification with Augmented Attributes. - Jie Song 011; Chengchao Shen; Jie Lei 002; Anxiang Zeng; Kairi Ou; Dacheng Tao; Mingli Song (ECCV (9), 2018)

DeepSSH: Deep Semantic Structured Hashing for Explainable Person Re-Identification. - Ya Zhao; Sihui Luo 001; Yezhou Yang; Mingli Song (ICIP, 2018)

Finer-Net: Cascaded Human Parsing with Hierarchical Granularity. - Jingwen Ye; Zunlei Feng; Yongcheng Jing; Mingli Song (ICME, 2018)

DeepSIC: Deep Semantic Image Compression. - Sihui Luo 001; Yezhou Yang; Yanling Yin; Chengchao Shen; Ya Zhao; Mingli Song (ICONIP (1), 2018)

Intra-class Structure Aware Networks for Screen Defect Detection. - Chengchao Shen; Jie Song 011; Shuyi Song; Sihui Luo 001; Li Sun; Mingli Song (ICONIP (4), 2018)

Interpretable Partitioned Embedding for Customized Multi-item Fashion Outfit Composition. - Zunlei Feng; Zhenyun Yu; Yezhou Yang; Yongcheng Jing; Junxiao Jiang; Mingli Song (ICMR, 2018)

Where to Rendezvous?: Preferring Quiet Channels in Cognitive Radio Networks. - Tong Shen; Zhaoquan Gu; Yuexuan Wang; Sivan Toledo; Senran Zhang; Mingli Song (MSWiM, 2018)

Dual Swap Disentangling. - Zunlei Feng; Xinchao Wang; Chenglong Ke; Anxiang Zeng; Dacheng Tao; Mingli Song (NeurIPS, 2018)

A comparative study of improved GA and PSO in solving multiple traveling salesmen problem. - Honglu Zhou; Mingli Song; Witold Pedrycz (Appl. Soft Comput., 2018)

DeepSIC: Deep Semantic Image Compression. - Sihui Luo 001; Yezhou Yang; Mingli Song (CoRR, 2018)

Stroke Controllable Fast Style Transfer with Adaptive Receptive Fields. - Yongcheng Jing; Yang Liu 212; Yezhou Yang; Zunlei Feng; Yizhou Yu; Mingli Song (CoRR, 2018)

Interpretable Partitioned Embedding for Customized Fashion Outfit Composition. - Zunlei Feng; Zhenyun Yu; Yezhou Yang; Yongcheng Jing; Junxiao Jiang; Mingli Song (CoRR, 2018)

Finding intrinsic color themes in images with human visual perception. - Zunlei Feng; Wolong Yuan; Chunli Fu; Jie Lei 002; Mingli Song (Neurocomputing, 2018)

Scale insensitive and focus driven mobile screen defect detection in industry. - Jie Lei 002; Xin Gao; Zunlei Feng; Huamou Qiu; Mingli Song (Neurocomputing, 2018)

Noise-aware co-segmentation with local and global priors. - Qingqun Ning; Zhao Liu; Jianke Zhu; Mingli Song; Jiajun Bu; Chun Chen 001 (Neurocomputing, 2018)

A Spring-Electric Graph Model for Socialized Group Photography. - Yogesh Singh Rawat; Mingli Song; Mohan S. Kankanhalli (IEEE Trans. Multim., 2018)

Amalgamating Knowledge towards Comprehensive Classification. - Chengchao Shen; Xinchao Wang; Jie Song 011; Li Sun; Mingli Song (AAAI, 2019)

NTIRE 2019 Challenge on Real Image Super-Resolution: Methods and Results. - Jianrui Cai; Shuhang Gu; Radu Timofte; Lei Zhang 006; Xiao Liu 022; Yukang Ding; Dongliang He; Chao Li 034; Yi Fu; Shilei Wen; Ruicheng Feng; Jinjin Gu; et al. (CVPR Workshops, 2019)

Student Becoming the Master: Knowledge Amalgamation for Joint Scene Parsing, Depth Estimation, and More. - Jingwen Ye; Yixin Ji; Xinchao Wang; Kairi Ou; Dapeng Tao; Mingli Song (CVPR, 2019)

Weighted-Ring Similarity Measurement for Community Detection in Social Network. - Zheng Shen; Zhaoquan Gu; Yuexuan Wang; Xiaoling Zheng; Mingli Song (DSC, 2019)

Customizing Student Networks From Heterogeneous Teachers via Adaptive Knowledge Amalgamation. - Chengchao Shen; Mengqi Xue; Xinchao Wang; Jie Song 011; Li Sun; Mingli Song (ICCV, 2019)

Semi-Supervised Eye Makeup Transfer by Swapping Learned Representation. - Feida Zhu 003; Hongji Cao; Zunlei Feng; Yongqiang Zhang 003; Wenbin Luo; Hucheng Zhou; Mingli Song; Kai-Kuang Ma (ICCV Workshops, 2019)

A New Method to Design a Granular Hierarchy Model with Information Granularity. - Mingli Song; Yukai Jing (IFSA/NAFIPS, 2019)

Knowledge Amalgamation from Heterogeneous Networks by Common Feature Learning. - Sihui Luo 001; Xinchao Wang; Gongfan Fang; Yao Hu; Dapeng Tao; Mingli Song (IJCAI, 2019)

SPAGAN: Shortest Path Graph Attention Network. - Yiding Yang; Xinchao Wang; Mingli Song; Junsong Yuan 001; Dacheng Tao (IJCAI, 2019)

Amalgamating Filtered Knowledge: Learning Task-customized Student from Multi-task Teachers. - Jingwen Ye; Xinchao Wang; Yixin Ji; Kairi Ou; Mingli Song (IJCAI, 2019)

An Online Intelligent Visual Interaction System. - Anxiang Zeng; Han Yu 001; Xin Gao; Kairi Ou; Zhenchuan Huang; Peng Hou; Mingli Song; Jingshu Zhang; Chunyan Miao (IJCAI, 2019)

Can the Max-Min Fairness-Based Coalitional Mechanism in Competitive Networks be Trustful? - Zheng Shen; Zhaoquan Gu; Yuexuan Wang; Zhihong Tian; Mingli Song; Chunsheng Zhu (IWCMC, 2019)

A Cascade Sequence-to-Sequence Model for Chinese Mandarin Lip Reading. - Ya Zhao; Rui Xu; Mingli Song (MMAsia, 2019)

Deep Model Transferability from Attribution Maps. - Jie Song 011; Yixin Chen; Xinchao Wang; Chengchao Shen; Mingli Song (NeurIPS, 2019)

Hybrid Sequence Encoder for Text Based Video Retrieval. - Xiang Wu 004; Da Chen 003; Yuan He 011; Hui Xue 001; Mingli Song; Feng Mao (TRECVID, 2019)

Granular neural networks: A study of optimizing allocation of information granularity in input space. - Mingli Song; Yukai Jing; Witold Pedrycz (Appl. Soft Comput., 2019)

Class Regularization: Improve Few-shot Image Classification by Reducing Meta Shift. - Da Chen 003; Feng Mao; Mingli Song; Yuan He 011; Xiang Wu 004; Jinqiao Wang; Wenbin Li 002; Yongliang Yang; Hui Xue 001 (CoRR, 2019)

Data-Free Adversarial Distillation. - Gongfan Fang; Jie Song 011; Chengchao Shen; Xinchao Wang; Da Chen; Mingli Song (CoRR, 2019)

CU-Net: Component Unmixing Network for Textile Fiber Identification. - Zunlei Feng; Weixin Liang; Daocheng Tao; Li Sun; Anxiang Zeng; Mingli Song (Int. J. Comput. Vis., 2019)

Action Parsing-Driven Video Summarization Based on Reinforcement Learning. - Jie Lei 002; Qiao Luan; Xinhui Song; Xiao Liu 012; Dapeng Tao; Mingli Song (IEEE Trans. Circuits Syst. Video Technol., 2019)

Interpretable Partitioned Embedding for Intelligent Multi-item Fashion Outfit Composition. - Zunlei Feng; Zhenyun Yu; Yongcheng Jing; Sai Wu; Mingli Song; Yezhou Yang; Junxiao Jiang (ACM Trans. Multim. Comput. Commun. Appl., 2019)

Dynamic Instance Normalization for Arbitrary Style Transfer. - Yongcheng Jing; Xiao Liu 022; Yukang Ding; Xinchao Wang; Errui Ding; Mingli Song; Shilei Wen (AAAI, 2020)

Hearing Lips: Improving Lip Reading by Distilling Speech Recognizers. - Ya Zhao; Rui Xu; Xinchao Wang; Peng Hou; Haihong Tang; Mingli Song (AAAI, 2020)

Faster Self-adaptive Deep Stereo. - Haiyang Wang; Xinchao Wang; Jie Song 011; Jie Lei 002; Mingli Song (ACCV (1), 2020)

DEAL: Difficulty-Aware Active Learning for Semantic Segmentation. - Shuai Xie; Zunlei Feng; Ying Chen; Songtao Sun; Chao Ma; Mingli Song (ACCV (1), 2020)

DEPARA: Deep Attribution Graph for Deep Knowledge Transferability. - Jie Song 011; Yixin Chen; Jingwen Ye; Xinchao Wang; Chengchao Shen; Feng Mao; Mingli Song (CVPR, 2020)

Distilling Knowledge From Graph Convolutional Networks. - Yiding Yang; Jiayan Qiu; Mingli Song; Dacheng Tao; Xinchao Wang (CVPR, 2020)

Data-Free Knowledge Amalgamation via Group-Stack Dual-GAN. - Jingwen Ye; Yixin Ji; Xinchao Wang; Xin Gao; Mingli Song (CVPR, 2020)

Collaboration by Competition: Self-coordinated Knowledge Amalgamation for Multi-talent Student Learning. - Sihui Luo 001; Wenwen Pan 003; Xinchao Wang; Dazhou Wang; Haihong Tang; Mingli Song (ECCV (6), 2020)

Learning Propagation Rules for Attribution Map Generation. - Yiding Yang; Jiayan Qiu; Mingli Song; Dacheng Tao; Xinchao Wang (ECCV (20), 2020)

Disentangled Representation based Face Anti-Spoofing. - Zhao Liu; Zunlei Feng; Zeyu Zou; Rong Zhang; Mingli Song; Jianping Shen (ICPR, 2020)

Unsupervised Learning Facial Parameter Regressor for Action Unit Intensity Estimation via Differentiable Renderer. - Xinhui Song; Tianyang Shi; Zunlei Feng; Mingli Song; Jackie Lin; Chuanjie Lin; Changjie Fan; Yi Yuan 002 (ACM Multimedia, 2020)

One-sample Guided Object Representation Disassembling. - Zunlei Feng; Yongming He; Xinchao Wang; Xin Gao; Jie Lei 002; Cheng Jin 001; Mingli Song (NeurIPS, 2020)

Factorizable Graph Convolutional Networks. - Yiding Yang; Zunlei Feng; Mingli Song; Xinchao Wang (NeurIPS, 2020)

Adaptive Context Learning Network for Crowd Counting. - Zhao Liu; Guanqi Zeng; Zunlei Feng; Rong Zhang; Mingli Song; Jianping Shen (SMC, 2020)

Disassembling Object Representations without Labels. - Zunlei Feng; Xinchao Wang; Yongming He; Yike Yuan; Xin Gao; Mingli Song (CoRR, 2020)

Impression Space from Deep Template Network. - Gongfan Fang; Xinchao Wang; Haofei Zhang; Jie Song 011; Mingli Song (CoRR, 2020)

Granular neural networks: The development of granular input spaces and parameters spaces through a hierarchical allocation of information granularity. - Mingli Song; Yukai Jing (Inf. Sci., 2020)

Edge-Sensitive Human Cutout With Hierarchical Granularity and Loopy Matting Guidance. - Jingwen Ye; Yongcheng Jing; Xinchao Wang; Kairi Ou; Dacheng Tao; Mingli Song (IEEE Trans. Image Process., 2020)

Neural Style Transfer: A Review. - Yongcheng Jing; Yezhou Yang; Zunlei Feng; Jingwen Ye; Yizhou Yu; Mingli Song (IEEE Trans. Vis. Comput. Graph., 2020)

Visual Boundary Knowledge Translation for Foreground Segmentation. - Zunlei Feng; Lechao Cheng; Xinchao Wang; Xiang Wang 010; Ya Jie Liu; Xiangtong Du; Mingli Song (AAAI, 2021)

Edge-competing Pathological Liver Vessel Segmentation with Limited Labels. - Zunlei Feng; Zhonghua Wang; Xinchao Wang; Xiuming Zhang; Lechao Cheng; Jie Lei 002; Yuexuan Wang; Mingli Song (AAAI, 2021)

Progressive Network Grafting for Few-Shot Knowledge Distillation. - Chengchao Shen; Xinchao Wang; Youtan Yin; Jie Song 011; Sihui Luo 001; Mingli Song (AAAI, 2021)

Tendentious Noise-rectifying Framework for Pathological HCC Grading. - Xiaotian Yu; Zunlei Feng; Yuexuan Wang; Thomas Kwok To Li; Xiuming Zhang; Mingli Song (BMVC, 2021)

Turning Frequency to Resolution: Video Super-Resolution via Event Cameras. - Yongcheng Jing; Yiding Yang; Xinchao Wang; Mingli Song; Dacheng Tao (CVPR, 2021)

Amalgamating Knowledge From Heterogeneous Graph Neural Networks. - Yongcheng Jing; Yiding Yang; Xinchao Wang; Mingli Song; Dacheng Tao (CVPR, 2021)

Training Generative Adversarial Networks in One Stage. - Chengchao Shen; Youtan Yin; Xinchao Wang; Xubin Li; Jie Song 011; Mingli Song (CVPR, 2021)

Tree-Like Decision Distillation. - Jie Song 011; Haofei Zhang; Xinchao Wang; Mengqi Xue; Ying Chen; Li Sun; Dacheng Tao; Mingli Song (CVPR, 2021)

An Approach to Determine Best Cutting-points in Group Decision Making Problems with Information Granules. - Lijie Han; Mingli Song; Witold Pedrycz (FUZZ-IEEE, 2021)

Learning Dynamic Preference Structure Embedding From Temporal Networks. - Tongya Zheng; Zunlei Feng; Yu Wang 176; Chengchao Shen; Mingli Song; Xingen Wang; Xinyu Wang 001; Chun Chen 001; Hao Xu (ICBK, 2021)

Self-born Wiring for Neural Trees. - Ying Chen; Feng Mao; Jie Song 011; Xinchao Wang; Huiqiong Wang; Mingli Song (ICCV, 2021)

Mutual-Complementing Framework for Nuclei Detection and Segmentation in Pathology Image. - Zunlei Feng; Zhonghua Wang; Xinchao Wang; Yining Mao; Thomas Li; Jie Lei 002; Yuexuan Wang; Mingli Song (ICCV, 2021)

Meta-Aggregator: Learning to Aggregate for 1-bit Graph Neural Networks. - Yongcheng Jing; Yiding Yang; Xinchao Wang; Mingli Song; Dacheng Tao (ICCV, 2021)

Online Knowledge Distillation for Efficient Pose Estimation. - Zheng Li 028; Jingwen Ye; Mingli Song; Ying Huang 003; Zhigeng Pan (ICCV, 2021)

Track without Appearance: Learn Box and Tracklet Embedding with Local and Global Motion Patterns for Vehicle Tracking. - Gaoang Wang; Renshu Gu; Zuozhu Liu; Weijie Hu; Mingli Song; Jenq-Neng Hwang (ICCV, 2021)

Flexible Knowledge Distillation with an Evolutional Network Population. - Jie Lei 002; Zhao Liu; Mingli Song; Juan Xu; Jianping Shen; Ronghua Liang (ICME, 2021)

Speech Guided Disentangled Visual Representation Learning for Lip Reading. - Ya Zhao; Cheng Ma; Zunlei Feng; Mingli Song (ICMI, 2021)

Imbalanced Sample Generation and Evaluation for Power System Transient Stability Using CTGAN. - Gengshi Han; Shunyu Liu 001; Kaixuan Chen 004; Na Yu; Zunlei Feng; Mingli Song (ICO, 2021)

Tree-Like Branching Network for Multi-class Classification. - Mengqi Xue; Jie Song 011; Li Sun; Mingli Song (ICO, 2021)

Boundary Knowledge Translation based Reference Semantic Segmentation. - Lechao Cheng; Zunlei Feng; Xinchao Wang; Ya Jie Liu; Jie Lei 002; Mingli Song (IJCAI, 2021)

Contrastive Model Invertion for Data-Free Knolwedge Distillation. - Gongfan Fang; Jie Song 011; Xinchao Wang; Chengchao Shen; Xingen Wang; Mingli Song (IJCAI, 2021)

KDExplainer: A Task-oriented Attention Model for Explaining Knowledge Distillation. - Mengqi Xue; Jie Song 011; Xinchao Wang; Ying Chen; Xingen Wang; Mingli Song (IJCAI, 2021)

A Location Constrained Dual-Branch Network for Reliable Diagnosis of Jaw Tumors and Cysts. - Jiacong Hu; Zunlei Feng; Yining Mao; Jie Lei 002; Dan Yu; Mingli Song (MICCAI (7), 2021)

Shape Controllable Virtual Try-on for Underwear Models. - Xin Gao; Zhenjiang Liu; Zunlei Feng; Chengji Shen; Kairi Ou; Haihong Tang; Mingli Song (ACM Multimedia, 2021)

Mosaicking to Distill: Knowledge Distillation from Out-of-Domain Data. - Gongfan Fang; Yifan Bao; Jie Song 011; Xinchao Wang; Donglin Xie; Chengchao Shen; Mingli Song (NeurIPS, 2021)

Towards End-to-End Embroidery Style Generation: A Paired Dataset and Benchmark. - Jingwen Ye; Yixin Ji; Jie Song 011; Zunlei Feng; Mingli Song (PRCV (4), 2021)

Contrastive Model Inversion for Data-Free Knowledge Distillation. - Gongfan Fang; Jie Song 011; Xinchao Wang; Chengchao Shen; Xingen Wang; Mingli Song (CoRR, 2021)

Distribution Knowledge Embedding for Graph Pooling. - Kaixuan Chen 004; Jie Song 011; Shunyu Liu 001; Na Yu; Zunlei Feng; Mingli Song (CoRR, 2021)

A Survey of Deep Learning for Low-Shot Object Detection. - Qihan Huang; Haofei Zhang; Jie Song 011; Mingli Song (CoRR, 2021)

Performance and Productivity of Regional Air Transport Systems in China. - Mingli Song; Guangshe Jia (ISPRS Int. J. Geo Inf., 2021)

Disassembling object representations without labels. - Zunlei Feng; Yongming He; Yike Yuan; Li Sun; Huiqiong Wang; Mingli Song (Neurocomputing, 2021)

A development framework of granular prototypes with an allocation of information granularity. - Mingli Song; Yapeng Liu (Inf. Sci., 2021)

Up to 100x Faster Data-Free Knowledge Distillation. - Gongfan Fang; Kanya Mo; Xinchao Wang; Jie Song 011; Shitao Bei; Haofei Zhang; Mingli Song (AAAI, 2022)

Model Doctor: A Simple Gradient Aggregation Strategy for Diagnosing and Treating CNN Classifiers. - Zunlei Feng; Jiacong Hu; Sai Wu; Xiaotian Yu; Jie Song 011; Mingli Song (AAAI, 2022)

Safe Distillation Box. - Jingwen Ye; Yining Mao; Jie Song 011; Xinchao Wang; Cheng Jin 001; Mingli Song (AAAI, 2022)

A Novelty Adversarial Loss for Classifying Unbalanced Anomaly Images. - Wenqi Huang 002; Qunsheng Zeng; Peng Li; Ailing Jia; Jie Song 011; Mingli Song (CISP-BMEI, 2022)

An object detection method based on improved YOLOX. - Peng Li; Wenqi Huang 002; Yang Wu 001; Senjing Yao; Ailing Jia; Jie Song 011; Mingli Song (CISP-BMEI, 2022)

Re-Attention Transformer for Weakly Supervised Object Localization. - Hui Su; Yue Ye; Zhiwei Chen; Mingli Song; Lechao Cheng (BMVC, 2022)

Label Matching Semi-Supervised Object Detection. - Binbin Chen; Weijie Chen 006; Shicai Yang; Yunyi Xuan; Jie Song 011; Di Xie; Shiliang Pu; Mingli Song; Yueting Zhuang (CVPR, 2022)

Slimmable Domain Adaptation. - Rang Meng; Weijie Chen 006; Shicai Yang; Jie Song 011; Luojun Lin; Di Xie; Shiliang Pu; Xinchao Wang; Mingli Song; Yueting Zhuang (CVPR, 2022)

Meta-attention for ViT-backed Continual Learning. - Mengqi Xue; Haofei Zhang; Jie Song 011; Mingli Song (CVPR, 2022)

Bootstrapping ViTs: Towards Liberating Vision Transformers from Pre-training. - Haofei Zhang; Jiarui Duan; Mengqi Xue; Jie Song 011; Li Sun; Mingli Song (CVPR, 2022)

Learning Graph Neural Networks for Image Style Transfer. - Yongcheng Jing; Yining Mao; Yiding Yang; Yibing Zhan; Mingli Song; Xinchao Wang; Dacheng Tao (ECCV (7), 2022)

Attention Diversification for Domain Generalization. - Rang Meng; Xianfeng Li; Weijie Chen 006; Shicai Yang; Jie Song 011; Xinchao Wang; Lei Zhang 038; Mingli Song; Di Xie; Shiliang Pu (ECCV (34), 2022)

Hierarchical Semi-supervised Contrastive Learning for Contamination-Resistant Anomaly Detection. - Gaoang Wang; Yibing Zhan; Xinchao Wang; Mingli Song; Klara Nahrstedt (ECCV (25), 2022)

Learning with Recoverable Forgetting. - Jingwen Ye; Yifang Fu; Jie Song 011; Xingyi Yang; Songhua Liu; Xin Jin; Mingli Song; Xinchao Wang (ECCV (11), 2022)

Topology-aware Generalization of Decentralized SGD. - Tongtian Zhu; Fengxiang He; Lan Zhang 002; Zhengyang Niu; Mingli Song; Dacheng Tao (ICML, 2022)

Comparison Knowledge Translation for Generalizable Image Classification. - Zunlei Feng; Tian Qiu; Sai Wu; Xiaotuan Jin; Zengliang He; Mingli Song; Huiqiong Wang (IJCAI, 2022)

Distribution-Aware Graph Representation Learning for Transient Stability Assessment of Power System. - Kaixuan Chen 004; Shunyu Liu 001; Na Yu; Rong Yan; Quan Zhang; Jie Song 011; Zunlei Feng; Mingli Song (IJCNN, 2022)

Chemical Property Relation Guided Few-Shot Molecular Property Prediction. - Shaolun Yao; Zunlei Feng; Jie Song 011; Lingxiang Jia; Zipeng Zhong; Mingli Song (IJCNN, 2022)

Multi-grained Cascade Interaction Network for Temporal Activity Localization via Language. - Cong Wang; Mingli Song (PRCV (1), 2022)

PreQR: Pre-training Representation for SQL Understanding. - Xiu Tang; Sai Wu; Mingli Song; Shanshan Ying; Feifei Li 001; Gang Chen 001 (SIGMOD Conference, 2022)

Explainable Fragment-Based Molecular Property Attribution. - Lingxiang Jia; Zunlei Feng; Haotian Zhang; Jie Song 011; Zipeng Zhong; Shaolun Yao; Mingli Song (Adv. Intell. Syst., 2022)

Root-aligned SMILES for Molecular Retrosynthesis Prediction. - Zipeng Zhong; Jie Song 011; Zunlei Feng; Tiantao Liu; Lingxiang Jia; Shaolun Yao; Min Wu; Tingjun Hou; Mingli Song (CoRR, 2022)

CNN LEGO: Disassembling and Assembling Convolutional Neural Network. - Jiacong Hu; Jing Gao; Zunlei Feng; Lechao Cheng; Jie Lei 002; Hujun Bao; Mingli Song (CoRR, 2022)

Recent Advances in Embedding Methods for Multi-Object Tracking: A Survey. - Gaoang Wang; Mingli Song; Jenq-Neng Hwang (CoRR, 2022)

Ask-AC: An Initiative Advisor-in-the-Loop Actor-Critic Framework. - Shunyu Liu 001; Xinchao Wang; Na Yu; Jie Song 011; Kaixuan Chen 004; Zunlei Feng; Mingli Song (CoRR, 2022)

Federated Selective Aggregation for Knowledge Amalgamation. - Donglin Xie; Ruonan Yu; Gongfan Fang; Jie Song 011; Zunlei Feng; Xinchao Wang; Li Sun; Mingli Song (CoRR, 2022)

ProtoPFormer: Concentrating on Prototypical Parts in Vision Transformers for Interpretable Image Recognition. - Mengqi Xue; Qihan Huang; Haofei Zhang; Lechao Cheng; Jie Song 011; Minghui Wu; Mingli Song (CoRR, 2022)

A Survey of Neural Trees. - Haoling Li; Jie Song 011; Mengqi Xue; Haofei Zhang; Jingwen Ye; Lechao Cheng; Mingli Song (CoRR, 2022)

A Survey on Explainable Reinforcement Learning: Concepts, Algorithms, Challenges. - Yunpeng Qing; Shunyu Liu 001; Jie Song 011; Mingli Song (CoRR, 2022)

Is ProtoPNet Really Explainable? Evaluating and Improving the Interpretability of Prototypes. - Qihan Huang; Mengqi Xue; Haofei Zhang; Jie Song 011; Mingli Song (CoRR, 2022)

Hierarchical gate network for fine-grained visual recognition. - Ying Chen; Jie Song 011; Mingli Song (Neurocomputing, 2022)

Hierarchical knowledge amalgamation with dual discriminative feature alignment. - Renjun Xu; Shuoying Liang; Lanyu Wen; Zhitong Guo; Xinyue Huang; Mingli Song; Jindong Wang 001; Xiaoxiao Xu; Huajun Chen (Inf. Sci., 2022)

Learn decision trees with deep visual primitives. - Mengqi Xue; Haofei Zhang; Qihan Huang; Jie Song 011; Mingli Song (J. Vis. Commun. Image Represent., 2022)

Seek-and-Hide: Adversarial Steganography via Deep Reinforcement Learning. - Wenwen Pan 003; Yanling Yin; Xinchao Wang; Yongcheng Jing; Mingli Song (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

A comprehensive study on effect of multi-subgroup background in group decision-making. - Mingli Song; Lijie Han; Witold Pedrycz (Soft Comput., 2022)

CoEvo-Net: Coevolution Network for Video Highlight Detection. - Jiawei Chen; Jian Wang; Xinchao Wang; Xingen Wang; Zunlei Feng; Ruitao Liu; Mingli Song (IEEE Trans. Circuits Syst. Video Technol., 2022)

Spot-Adaptive Knowledge Distillation. - Jie Song 011; Ying Chen; Jingwen Ye; Mingli Song (IEEE Trans. Image Process., 2022)

Walking With Attention: Self-Guided Walking for Heterogeneous Graph Embedding. - Yunzhi Hao; Xinchao Wang; Xingen Wang; Xinyu Wang 001; Chun Chen 001; Mingli Song (IEEE Trans. Knowl. Data Eng., 2022)

Contrastive Identity-Aware Learning for Multi-Agent Value Decomposition. - Shunyu Liu 001; Yihe Zhou; Jie Song 011; Tongya Zheng; Kaixuan Chen 004; Tongtian Zhu; Zunlei Feng; Mingli Song (AAAI, 2023)

Neural TSP Solver with Progressive Distillation. - Dongxiang Zhang; Ziyang Xiao; Yuan Wang 003; Mingli Song; Gang Chen 001 (AAAI, 2023)

Drift-aware Anomaly Detection for Non-stationary Time Series. - Yang Gao 001; Ying Li; Yang Li; Zunlei Feng; Mingli Song; Xingyu Wang; Chun Chen 001 (IEEE Big Data, 2023)

Improved Dynamic Regret for Online Frank-Wolfe. - Yuanyu Wan; Lijun Zhang 005; Mingli Song (COLT, 2023)

DepGraph: Towards Any Structural Pruning. - Gongfan Fang; Xinyin Ma; Mingli Song; Michael Bi Mi; Xinchao Wang (CVPR, 2023)

How to Prevent the Continuous Damage of Noises to Model Training? - Xiaotian Yu; Yang Jiang; Tianqi Shi; Zunlei Feng; Yuexuan Wang; Mingli Song; Li Sun (CVPR, 2023)

A Loopback Network for Explainable Microvascular Invasion Classification. - Shengxuming Zhang; Tianqi Shi; Yang Jiang; Xiuming Zhang; Jie Lei 002; Zunlei Feng; Mingli Song (CVPR, 2023)

Generalization Matters: Loss Minima Flattening via Parameter Hybridization for Efficient Online Knowledge Distillation. - Tianli Zhang; Mengqi Xue; Jiangtao Zhang; Haofei Zhang; Yu Wang 176; Lechao Cheng; Jie Song 011; Mingli Song (CVPR, 2023)

LoSS: Local Structural Separation Hypergraph Convolutional Neural Network. - Bingde Hu; Yang Gao 001; Zunlei Feng; Mingli Song; Xinyu Wang 001; Ying Li (ECAI, 2023)

Adversarial Erasing with Pruned Elements: Towards Better Graph Lottery Tickets. - Yuwen Wang; Shunyu Liu 001; Kaixuan Chen 004; Tongtian Zhu; Ji Qiao; Mengjie Shi; Yuanyu Wan; Mingli Song (ECAI, 2023)

Evaluation and Improvement of Interpretability for Self-Explainable Part-Prototype Networks. - Qihan Huang; Mengqi Xue; Wenqi Huang 002; Haofei Zhang; Jie Song 011; Yongcheng Jing; Mingli Song (ICCV, 2023)

ModelGiF: Gradient Fields for Model Functional Distance. - Jie Song 011; Zhengqi Xu; Sai Wu; Gang Chen 001; Mingli Song (ICCV, 2023)

Model Doctor for Diagnosing and Treating Segmentation Error. - Zhijie Jia; Lin Chen; Kaiwen Hu; Lechao Cheng; Zunlei Feng; Mingli Song (ICIP, 2023)

Team DETR: Guide Queries as a Professional Team in Detection Transformers. - Tian Qiu; Linyun Zhou; Wenxiang Xu; Lechao Cheng; Zunlei Feng; Mingli Song (ICIP, 2023)

Message-passing Selection: Towards Interpretable GNNs for Graph Classification. - Wenda Li 003; Kaixuan Chen 004; Shunyu Liu 001; Wenjie Huang; Haofei Zhang; Mingli Song; Yingjie Tian 002; Yun Su (Tiny Papers @ ICLR, 2023)

Schema Inference for Interpretable Image Classification. - Haofei Zhang; Mengqi Xue; Xiaokang Liu; Kaixuan Chen 004; Jie Song 011; Mingli Song (ICLR, 2023)

SASFormer: Transformers for Sparsely Annotated Semantic Segmentation. - Hui Su; Yue Ye; Wei Hua; Lechao Cheng; Mingli Song (ICME, 2023)

Decentralized SGD and Average-direction SAM are Asymptotically Equivalent. - Tongtian Zhu; Fengxiang He; Kaixuan Chen 004; Mingli Song; Dacheng Tao (ICML, 2023)

Attribution Guided Layerwise Knowledge Amalgamation from Graph Neural Networks. - Yunzhi Hao; Yu Wang 176; Shunyu Liu 001; Tongya Zheng; Xingen Wang; Xinyu Wang 001; Mingli Song; Wenqi Huang 002; Chun Chen 001 (ICONIP (1), 2023)

Propheter: Prophetic Teacher Guided Long-Tailed Distribution Learning. - Wenxiang Xu; Yongcheng Jing; Linyun Zhou; Wenqi Huang 002; Lechao Cheng; Zunlei Feng; Mingli Song (ICONIP (4), 2023)

Temporal Constrained Feasible Subspace Learning for Human Pose Forecasting. - Gaoang Wang; Mingli Song (IJCAI, 2023)

A General Heterogeneous Hypergraph Neural Network for Node Classification. - Bingde Hu; Wenjie Huang; Tongya Zheng; Mingli Song; Ying Li (IJCNN, 2023)

Improving Expressivity of GNNs with Subgraph-specific Factor Embedded Normalization. - Kaixuan Chen 004; Shunyu Liu 001; Tongtian Zhu; Ji Qiao; Yun Su; Yingjie Tian 002; Tongya Zheng; Haofei Zhang; Zunlei Feng; Jingwen Ye; Mingli Song (KDD, 2023)

McGE '23: 1st International Workshop on Multimedia Content Generation and Evaluation: New Methods and Practice. - Cheng Jin 001; Liang He 001; Mingli Song; Rui Wang 032 (ACM Multimedia, 2023)

Lookaround Optimizer: k steps around, 1 step average. - Jiangtao Zhang; Shunyu Liu 001; Jie Song 011; Tongtian Zhu; Zhengqi Xu; Mingli Song (NeurIPS, 2023)

Recent advances in artificial intelligence for retrosynthesis. - Zipeng Zhong; Jie Song 011; Zunlei Feng; Tiantao Liu; Lingxiang Jia; Shaolun Yao; Tingjun Hou; Mingli Song (CoRR, 2023)

Propheter: Prophetic Teacher Guided Long-Tailed Distribution Learning. - Wenxiang Xu; Linyun Zhou; Lin Chen; Lechao Cheng; Jie Lei 002; Zunlei Feng; Mingli Song (CoRR, 2023)

Is Centralized Training with Decentralized Execution Framework Centralized Enough for MARL? - Yihe Zhou; Shunyu Liu 001; Yunpeng Qing; Kaixuan Chen 004; Tongya Zheng; Yanhao Huang; Jie Song 011; Mingli Song (CoRR, 2023)

Improved Projection-free Online Continuous Submodular Maximization. - Yucheng Liao; Yuanyu Wan; Chang Yao; Mingli Song (CoRR, 2023)

Improving Expressivity of GNNs with Subgraph-specific Factor Embedded Normalization. - Kaixuan Chen 004; Shunyu Liu 001; Tongtian Zhu; Tongya Zheng; Haofei Zhang; Zunlei Feng; Jingwen Ye; Mingli Song (CoRR, 2023)

Curricular Subgoals for Inverse Reinforcement Learning. - Shunyu Liu 001; Yunpeng Qing; Shuqi Xu; Hongyan Wu; Jiangtao Zhang; Jingyuan Cong; Tianhao Chen; Yunfu Liu; Mingli Song (CoRR, 2023)

A Survey of Deep Learning in Sports Applications: Perception, Comprehension, and Decision. - Zhonghan Zhao; Wenhao Chai; Shengyu Hao; Wenhao Hu 002; Guanhong Wang; Shidong Cao; Mingli Song; Jenq-Neng Hwang; Gaoang Wang (CoRR, 2023)

Adversarial Erasing with Pruned Elements: Towards Better Graph Lottery Ticket. - Yuwen Wang; Shunyu Liu 001; Kaixuan Chen 004; Tongtian Zhu; Ji Qiao; Mengjie Shi; Yuanyu Wan; Mingli Song (CoRR, 2023)

Triple-View Knowledge Distillation for Semi-Supervised Semantic Segmentation. - Ping Li 006; Junjie Chen; Li Yuan 007; Xianghua Xu; Mingli Song (CoRR, 2023)

Pair-wise Layer Attention with Spatial Masking for Video Prediction. - Ping Li 006; Chenhan Zhang; Zheng Yang; Xianghua Xu; Mingli Song (CoRR, 2023)

Agent-Aware Training for Agent-Agnostic Action Advising in Deep Reinforcement Learning. - Yaoquan Wei; Shunyu Liu 001; Jie Song 011; Tongya Zheng; Kaixuan Chen 004; Yong Wang; Mingli Song (CoRR, 2023)

Reinforcement learning based web crawler detection for diversity and dynamics. - Yang Gao 001; Zunlei Feng; Xiaoyang Wang; Mingli Song; Xingen Wang; Xinyu Wang 001; Chun Chen 001 (Neurocomputing, 2023)

Time series prediction with granular neural networks. - Mingli Song; Yan Li 003; Witold Pedrycz (Neurocomputing, 2023)

Conservative-Progressive Collaborative Learning for Semi-Supervised Semantic Segmentation. - Siqi Fan 002; Fenghua Zhu; Zunlei Feng; Yisheng Lv; Mingli Song; Fei-Yue Wang 001 (IEEE Trans. Image Process., 2023)

Knowledge Amalgamation for Object Detection With Transformers. - Haofei Zhang; Feng Mao; Mengqi Xue; Gongfan Fang; Zunlei Feng; Jie Song 011; Mingli Song (IEEE Trans. Image Process., 2023)

Disassembling Convolutional Segmentation Network. - Kaiwen Hu; Jing Gao; Fangyuan Mao; Xinhui Song; Lechao Cheng; Zunlei Feng; Mingli Song (Int. J. Comput. Vis., 2023)

Distribution Knowledge Embedding for Graph Pooling. - Kaixuan Chen 004; Jie Song 011; Shunyu Liu 001; Na Yu; Zunlei Feng; Gengshi Han; Mingli Song (IEEE Trans. Knowl. Data Eng., 2023)

Deep semantic image compression via cooperative network pruning. - Sihui Luo 001; Gongfan Fang; Mingli Song (J. Vis. Commun. Image Represent., 2023)

HSDN: A High-Order Structural Semantic Disentangled Neural Network. - Bingde Hu; Xingen Wang; Zunlei Feng; Jie Song 011; Ji Zhao 016; Mingli Song; Xinyu Wang 001 (IEEE Trans. Knowl. Data Eng., 2023)

Temporal Aggregation and Propagation Graph Neural Networks for Dynamic Representation. - Tongya Zheng; Xinchao Wang; Zunlei Feng; Jie Song 011; Yunzhi Hao; Mingli Song; Xingen Wang; Xinyu Wang 001; Chun Chen 001 (IEEE Trans. Knowl. Data Eng., 2023)

Constituent Attention for Vision Transformers. - Haoling Li; Mengqi Xue; Jie Song 011; Haofei Zhang; Wenqi Huang 002; Lingyu Liang; Mingli Song (Comput. Vis. Image Underst., 2023)

Ask-AC: An Initiative Advisor-in-the-Loop Actor-Critic Framework. - Shunyu Liu 001; Kai-Xuan Chen 001; Na Yu; Jie Song 011; Zunlei Feng; Mingli Song (IEEE Trans. Syst. Man Cybern. Syst., 2023)

Progressive Feature Self-Reinforcement for Weakly Supervised Semantic Segmentation. - Jingxuan He 001; Lechao Cheng; Chaowei Fang; Zunlei Feng; Tingting Mu; Mingli Song (AAAI, 2024)

On the Concept Trustworthiness in Concept Bottleneck Models. - Qihan Huang; Jie Song 011; Jingwen Hu; Haofei Zhang; Yong Wang; Mingli Song (AAAI, 2024)

Sampling-Resilient Multi-Object Tracking. - Zepeng Li; Dongxiang Zhang; Sai Wu; Mingli Song; Gang Chen 001 (AAAI, 2024)

Angle Robustness Unmanned Aerial Vehicle Navigation in GNSS-Denied Scenarios. - Yuxin Wang; Zunlei Feng; Haofei Zhang; Yang Gao 001; Jie Lei 002; Li Sun; Mingli Song (AAAI, 2024)

RS-SAM: Integrating Multi-scale Information for Enhanced Remote Sensing Image Segmentation. - Enkai Zhang; Jingjing Liu; Anda Cao; Zhen Sun; Haofei Zhang; Huiqiong Wang; Li Sun; Mingli Song (ACCV (8), 2024)

Language Models-enhanced Semantic Topology Representation Learning For Temporal Knowledge Graph Extrapolation. - Tianli Zhang; Tongya Zheng; Zhenbang Xiao; Zulong Chen; Liangyue Li; Zunlei Feng; Dongxiang Zhang; Mingli Song (CIKM, 2024)

Nearly Optimal Regret for Decentralized Online Convex Optimization. - Yuanyu Wan; Tong Wei 001; Mingli Song; Lijun Zhang 005 (COLT, 2024)

Training-Free Pretrained Model Merging. - Zhengqi Xu; Ke Yuan; Huiqiong Wang; Yong Wang; Mingli Song; Jie Song 011 (CVPR, 2024)

Learning a Mini-Batch Graph Transformer via Two-Stage Interaction Augmentation. - Wenda Li 003; Kaixuan Chen 004; Shunyu Liu 001; Tongya Zheng; Wenjie Huang; Mingli Song (ECAI, 2024)

SecPE: Secure Prompt Ensembling for Private and Robust Large Language Models. - Jiawen Zhang; Kejia Chen 007; Zunlei Feng; Jian Lou 001; Mingli Song (ECAI, 2024)

On the Evaluation Consistency of Attribution-Based Explanations. - Jiarui Duan; Haoling Li; Haofei Zhang; Hao Jiang 014; Mengqi Xue; Li Sun; Mingli Song; Jie Song 011 (ECCV (70), 2024)

E3V-K5: An Authentic Benchmark for Redefining Video-Based Energy Expenditure Estimation. - Shengxuming Zhang; Lei Jin; Yifan Wang; Xinyu Wang 001; Xu Wen; Zunlei Feng; Mingli Song (ECCV (35), 2024)

Fast Query Answering by Labeling Index on Uncertain Graphs. - Zeyu Wang; Qihao Shi; Jiawei Chen; Can Wang; Mingli Song; Xinyu Wang (ICDE, 2024)

Dynamic Neural Response Tuning. - Tian Qiu; Wenxiang Xu; Lin Chen; Linyun Zhou; Zunlei Feng; Mingli Song (ICLR, 2024)

Chain-of-Experts: When LLMs Meet Complex Operations Research Problems. - Ziyang Xiao; Dongxiang Zhang; Yangjun Wu; Lilin Xu; Yuan Jessica Wang; Xiongwei Han; Xiaojin Fu; Tao Zhong 004; Jia Zeng; Mingli Song; Gang Chen 001 (ICLR, 2024)

Non-stationary Online Convex Optimization with Arbitrary Delays. - Yuanyu Wan; Chang Yao; Mingli Song; Lijun Zhang 005 (ICML, 2024)

Unified Mask Graph Modeling for Incomplete Tabular Learning. - Na Yu; Tongya Zheng; Shunyu Liu 001; Kai-Xuan Chen 001; Mingli Song (ICONIP (6), 2024)

Improving Adversarial Robustness via Feature Pattern Consistency Constraint. - Jiacong Hu; Jingwen Ye; Zunlei Feng; Jiazhen Yang; Shunyu Liu 001; Xiaotian Yu; Lingxiang Jia; Mingli Song (IJCAI, 2024)

ProtoPFormer: Concentrating on Prototypical Parts in Vision Transformers for Interpretable Image Recognition. - Mengqi Xue; Qihan Huang; Haofei Zhang; Jingwen Hu; Jie Song 011; Mingli Song; Canghong Jin (IJCAI, 2024)

Hundredfold Accelerating for Pathological Images Diagnosis and Prognosis through Self-reform Critical Region Focusing. - Xiaotian Yu; Haoming Luo; Jiacong Hu; Xiuming Zhang; Yuexuan Wang; Wenjie Liang; Yijun Bei; Mingli Song; Zunlei Feng (IJCAI, 2024)

GAN Doctor: Diagnosing and Treating Inherent Semantic Errors. - Chengji Shen; Zunlei Feng; Zhongle Xie; Jie Lei 002; Huiqiong Wang; Mingli Song (IJCNN, 2024)

Multi-Channel Graph Fusion Representation for Tabular Data Imputation. - Na Yu; Ke Xu; Kai-Xuan Chen 001; Shunyu Liu 001; Tongya Zheng; Mingli Song (IJCNN, 2024)

Unveiling Global Interactive Patterns across Graphs: Towards Interpretable Graph Neural Networks. - Yuwen Wang; Shunyu Liu 001; Tongya Zheng; Kaixuan Chen 004; Mingli Song (KDD, 2024)

Temporal Prototype-Aware Learning for Active Voltage Control on Power Distribution Networks. - Feiyang Xu; Shunyu Liu 001; Yunpeng Qing; Yihe Zhou; Yuwen Wang; Mingli Song (KDD, 2024)

Loose Lesion Location Self-supervision Enhanced Colorectal Cancer Diagnosis. - Tianhong Gao; Jie Song 011; Xiaotian Yu; Shengxuming Zhang; Wenjie Liang; Hongbin Zhang; Ziqian Li; Wenzhuo Zhang; Xiuming Zhang; Zipeng Zhong; Mingli Song; Zunlei Feng (MICCAI (11), 2024)

Transformer Doctor: Diagnosing and Treating Vision Transformers. - Jiacong Hu; Hao Chen 041; Kejia Chen 007; Yang Gao 001; Jingwen Ye; Xingen Wang; Mingli Song; Zunlei Feng (NeurIPS, 2024)

Vision Mamba Mender. - Jiacong Hu; Anda Cao; Zunlei Feng; Shengxuming Zhang; Yi Wang; Lingxiang Jia; Mingli Song (NeurIPS, 2024)

Model LEGO: Creating Models Like Disassembling and Assembling Building Blocks. - Jiacong Hu; Jing Gao; Jingwen Ye; Yang Gao 001; Xingen Wang; Zunlei Feng; Mingli Song (NeurIPS, 2024)

LG-CAV: Train Any Concept Activation Vector with Language Guidance. - Qihan Huang; Jie Song 011; Mengqi Xue; Haofei Zhang; Bingde Hu; Huiqiong Wang; Hao Jiang 014; Xingen Wang; Mingli Song (NeurIPS, 2024)

Association Pattern-aware Fusion for Biological Entity Relationship Prediction. - Lingxiang Jia; Yuchen Ying; Zunlei Feng; Zipeng Zhong; Shaolun Yao; Jiacong Hu; Mingjiang Duan; Xingen Wang; Jie Song 011; Mingli Song (NeurIPS, 2024)

A2PO: Towards Effective Offline Reinforcement Learning from an Advantage-aware Perspective. - Yunpeng Qing; Shunyu Liu 001; Jingyuan Cong; Kaixuan Chen 004; Yihe Zhou; Mingli Song (NeurIPS, 2024)

Dual-Perspective Activation: Efficient Channel Denoising via Joint Forward-Backward Criterion for Artificial Neural Networks. - Tian Qiu; Chenchao Gao; Zunlei Feng; Jie Lei 002; Bingde Hu; Xingen Wang; Yi Gao; Mingli Song (NeurIPS, 2024)

Improved Regret for Bandit Convex Optimization with Delayed Feedback. - Yuanyu Wan; Chang Yao; Mingli Song; Lijun Zhang 005 (NeurIPS, 2024)

Can Graph Neural Networks Expose Training Data Properties? An Efficient Risk Assessment Approach. - Hanyang Yuan; Jiarong Xu; Renhong Huang; Mingli Song; Chunping Wang 001; Yang Yang 009 (NeurIPS, 2024)

Projection-Free Bandit Convex Optimization over Strongly Convex Sets. - Chenxu Zhang; Yibo Wang 005; Peng Tian; Xiao Cheng; Yuanyu Wan; Mingli Song (PAKDD (3), 2024)

Simple Graph Condensation. - Zhenbang Xiao; Yu Wang 176; Shunyu Liu 001; Huiqiong Wang; Mingli Song; Tongya Zheng (ECML/PKDD (2), 2024)

MPM: A Unified 2D-3D Human Pose Representation via Masked Pose Modeling. - Zhenyu Zhang; Wenhao Chai; Zhongyu Jiang; Tian Ye 001; Mingli Song; Jenq-Neng Hwang; Gaoang Wang (PRCV (11), 2024)

Enumeration of Billions of Maximal Bicliques in Bipartite Graphs without Using GPUs. - Zhe Pan; Shuibing He; Xu Li 026; Xuechen Zhang 001; Yanlong Yin; Rui Wang 076; Lidan Shou; Mingli Song; Xian-He Sun; Gang Chen 001 (SC, 2024)

COLA: Cross-city Mobility Transformer for Human Trajectory Simulation. - Yu Wang 176; Tongya Zheng; Yuxuan Liang; Shunyu Liu 001; Mingli Song (WWW, 2024)

Disentangled Condensation for Large-scale Graphs. - Zhenbang Xiao; Shunyu Liu 001; Yu Wang 176; Tongya Zheng; Mingli Song (CoRR, 2024)

Advantage-Aware Policy Optimization for Offline Reinforcement Learning. - Yunpeng Qing; Shunyu Liu 001; Jingyuan Cong; Kaixuan Chen 004; Yihe Zhou; Mingli Song (CoRR, 2024)

A Comprehensive Survey of Dynamic Graph Neural Networks: Models, Frameworks, Benchmarks, Experiments and Challenges. - ZhengZhao Feng; Rui Wang 076; TianXing Wang; Mingli Song; Sai Wu; Shuibing He (CoRR, 2024)

Transmission Interface Power Flow Adjustment: A Deep Reinforcement Learning Approach based on Multi-task Attribution Map. - Shunyu Liu 001; Wei Luo; Yanzhen Zhou; Kai-Xuan Chen 001; Quan Zhang; Huating Xu; Qinglai Guo; Mingli Song (CoRR, 2024)

A Large-scale Universal Evaluation Benchmark For Face Forgery Detection. - Yijun Bei; Hengrui Lou; Jinsong Geng; Erteng Liu; Lechao Cheng; Jie Song 011; Mingli Song; Zunlei Feng (CoRR, 2024)

PruningBench: A Comprehensive Benchmark of Structural Pruning. - Haoling Li; Changhao Li; Mengqi Xue; Gongfan Fang; Sheng Zhou 004; Zunlei Feng; Huiqiong Wang; Yong Wang; Lechao Cheng; Mingli Song; Jie Song 011 (CoRR, 2024)

Odyssey: Empowering Agents with Open-World Skills. - Shunyu Liu 001; Yaoru Li; Kongcheng Zhang; Zhenyu Cui; Wenkai Fang; Yuxuan Zheng; Tongya Zheng; Mingli Song (CoRR, 2024)

Agent Centric Operating System - a Comprehensive Review and Outlook for Operating System. - Shian Jia; Xinbo Wang; Mingli Song; Gang Chen (CoRR, 2024)

Efficient and Comprehensive Feature Extraction in Large Vision-Language Model for Clinical Pathology Analysis. - Shengxuming Zhang; Weihan Li; Tianhong Gao; Jiacong Hu; Haoming Luo; Mingli Song; Xiuming Zhang; Zunlei Feng (CoRR, 2024)

SEW: Self-calibration Enhanced Whole Slide Pathology Image Analysis. - Haoming Luo; Xiaotian Yu; Shengxuming Zhang; Jiabin Xia; Yang Jian; Yuning Sun; Liang Xue; Mingli Song; Jing Zhang 037; Xiuming Zhang; Zunlei Feng (CoRR, 2024)

Graph Neural Networks-based hybrid framework for predicting particle crushing strength. - Tongya Zheng; Tianli Zhang; Qingzheng Guan; Wenjie Huang; Zunlei Feng; Mingli Song; Chun Chen 001 (Expert Syst. Appl., 2024)

Robust misinformation prevention with uncertainty on suspicious nodes. - Qihao Shi; Wujian Yang; Can Wang 001; Mingli Song (Neurocomputing, 2024)

Regularized online exponentially concave optimization. - Xu Yang; Peng Tian; Xiao Cheng; Yuanyu Wan; Mingli Song (Neurocomputing, 2024)

PatchDetector: Pluggable and non-intrusive patch for small object detection. - Linyun Zhou; Shengxuming Zhang; Tian Qiu; Wenxiang Xu; Zunlei Feng; Mingli Song (Neurocomputing, 2024)

Spatiotemporal gated traffic trajectory simulation with semantic-aware graph learning. - Yu Wang 176; Ji Cao 001; Wenjie Huang; Zhihua Liu; Tongya Zheng; Mingli Song (Inf. Fusion, 2024)

Complexity-aided time series modeling and forecasting under a decomposition-aggregation framework. - Mingli Song; Ruobing Wang (Inf. Sci., 2024)

TransfIGN: A Structure-Based Deep Learning Method for Modeling the Interaction between HLA-A*02:01 and Antigen Peptides. - Nanqi Hong; Dejun Jiang 002; Zhe Wang 041; Huiyong Sun; Hao Luo; Lingjie Bao; Mingli Song; Yu Kang 002; Tingjun Hou (J. Chem. Inf. Model., 2024)

Mixed Resolution Network with hierarchical motion modeling for efficient action recognition. - Xiusheng Lu; Sicheng Zhao; Lechao Cheng; Ying Zheng; Xueqiao Fan; Mingli Song (Knowl. Based Syst., 2024)

Life regression based patch slimming for vision transformers. - Jiawei Chen; Lin Chen; Jiang Yang; Tianqi Shi; Lechao Cheng; Zunlei Feng; Mingli Song (Neural Networks, 2024)

Progressive decision-making framework for power system topology control. - Shunyu Liu 001; Yanzhen Zhou; Mingli Song; Guangquan Bu; Jianbo Guo; Chun Chen 001 (Expert Syst. Appl., 2024)

Noise is the fatal poison: A Noise-aware Network for noisy dataset classification. - Xiaotian Yu; Shengxuming Zhang; Lingxiang Jia; Yuexuan Wang; Mingli Song; Zunlei Feng (Neurocomputing, 2024)

Complementary influence maximization under comparative linear threshold model. - Wujian Yang; Qihao Shi; Jiangzhe Yan; Can Wang 001; Mingli Song; Minghui Wu 001 (Expert Syst. Appl., 2024)

Self-Adaptive Clothing Mapping Based Virtual Try-on. - Chengji Shen; Zhenjiang Liu; Xin Gao; Zunlei Feng; Mingli Song (ACM Trans. Multim. Comput. Commun. Appl., 2024)

DIVOTrack: A Novel Dataset and Baseline Method for Cross-View Multi-Object Tracking in DIVerse Open Scenes. - Shengyu Hao; Peiyuan Liu; Yibing Zhan; Kaixun Jin; Zuozhu Liu; Mingli Song; Jenq-Neng Hwang; Gaoang Wang (Int. J. Comput. Vis., 2024)

Transition Propagation Graph Neural Networks for Temporal Networks. - Tongya Zheng; Zunlei Feng; Tianli Zhang; Yunzhi Hao; Mingli Song; Xingen Wang; Xinyu Wang 001; Ji Zhao 016; Chun Chen 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)

A Survey of Deep Learning for Low-shot Object Detection. - Qihan Huang; Haofei Zhang; Mengqi Xue; Jie Song 011; Mingli Song (ACM Comput. Surv., 2024)

An integrated visual analytics system for studying clinical carotid artery plaques. - Chaoqing Xu; Zhentao Zheng; Yiting Fu; Baofeng Chang; Legao Chen; Minghui Wu; Mingli Song; Jinsong Jiang (J. Vis., 2024)

Spatiotemporal-Augmented Graph Neural Networks for Human Mobility Simulation. - Yu Wang 176; Tongya Zheng; Shunyu Liu 001; Zunlei Feng; Kai-Xuan Chen 001; Yunzhi Hao; Mingli Song (IEEE Trans. Knowl. Data Eng., 2024)

Interaction Pattern Disentangling for Multi-Agent Reinforcement Learning. - Shunyu Liu 001; Jie Song 011; Yihe Zhou; Na Yu; Kaixuan Chen 004; Zunlei Feng; Mingli Song (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Holistic Semantic Representation for Navigational Trajectory Generation. - Ji Cao 001; Tongya Zheng; Qinghong Guo; Yu Wang 176; Junshu Dai; Shunyu Liu 001; Jie Yang; Jie Song 011; Mingli Song (AAAI, 2025)

Global Attribute-Association Pattern Aggregation for Graph Fraud Detection. - Mingjiang Duan; Da He; Tongya Zheng; Lingxiang Jia; Mingli Song; Xinyu Wang 001; Zunlei Feng (AAAI, 2025)

Association Pattern-enhanced Molecular Representation Learning. - Lingxiang Jia; Yuchen Ying; Tian Qiu; Shaolun Yao; Liang Xue; Jie Lei 002; Jie Song 011; Mingli Song; Zunlei Feng (AAAI, 2025)

Agent-Aware Training for Agent-Agnostic Action Advising in Deep Reinforcement Learning. - Yaoquan Wei; Shunyu Liu 001; Jie Song 011; Tongya Zheng; Kaixuan Chen 004; Mingli Song (AAAI, 2025)

Disentangled Table-Graph Representation for Interpretable Transmission Line Fault Location. - Na Yu; Yutong Deng; Shunyu Liu 001; Kaixuan Chen 004; Tongya Zheng; Mingli Song (AAAI, 2025)

D2-DPM: Dual Denoising for Quantized Diffusion Probabilistic Models. - Qian Zeng; Jie Song; Han Zheng; Hao Jiang; Mingli Song (AAAI, 2025)

Cooperative Policy Agreement: Learning Diverse Policy for Offline MARL. - Yihe Zhou; Yuxuan Zheng; Yue Hu; Kaixuan Chen 004; Tongya Zheng; Jie Song 011; Mingli Song; Shunyu Liu 001 (AAAI, 2025)

PatchDPO: Patch-level DPO for Finetuning-free Personalized Image Generation. - Qihan Huang; Long Chan; Jinlong Liu; Wanggui He; Hao Jiang 014; Mingli Song; Jie Song 011 (CVPR, 2025)

Training Data Provenance Verification: Did Your Model Use Synthetic Data from My Generative Model for Training? - Yuechen Xie; Jie Song; Huiqiong Wang; Mingli Song (CVPR, 2025)

Spatial-Temporal Reconstruction Error for AIGC-based Forgery Image Detection. - Chengji Shen; Zhenjiang Liu; Kaixuan Chen 004; Jie Lei 002; Mingli Song; Zunlei Feng (ICASSP, 2025)

From Characters to Subwords: Modeling Unit Conversion for Low-resource Speech Recognition. - Yizhi Wang; Haofei Zhang; Huiqiong Wang; Li Sun; Mingli Song (ICASSP, 2025)

Dataset Ownership Verification in Contrastive Pre-trained Models. - Yuechen Xie; Jie Song; Mengqi Xue; Haofei Zhang; Xingen Wang; Bingde Hu; Genlang Chen; Mingli Song (ICLR, 2025)

From GNNs to Trees: Multi-Granular Interpretability for Graph Neural Networks. - Jie Yang; Yuwen Wang; Kaixuan Chen 004; Tongya Zheng; Yihe Zhou; Zhenbang Xiao; Ji Cao 001; Mingli Song; Shunyu Liu 001 (ICLR, 2025)

CADP: Towards Better Centralized Learning for Decentralized Execution in MARL. - Yihe Zhou; Shunyu Liu 001; Yunpeng Qing; Tongya Zheng; Kaixuan Chen 004; Jie Song 011; Mingli Song (AAMAS, 2025)

Powerformer: A Section-adaptive Transformer for Power Flow Adjustment. - Kaixuan Chen 004; Wei Luo; Shunyu Liu 001; Yaoquan Wei; Yihe Zhou; Yunpeng Qing; Quan Zhang; Yong Wang; Jie Song 011; Mingli Song (KDD (1), 2025)

Disentangled Condensation for Large-scale Graphs. - Zhenbang Xiao; Yu Wang 176; Shunyu Liu 001; Bingde Hu; Huiqiong Wang; Mingli Song; Tongya Zheng (WWW, 2025)

BARE: Balance representation for imbalance multi-class node classification on heterogeneous information networks. - Canghong Jin; Hao Ni; Feng Miao; Tongya Zheng; Mingli Song; Zemin Liu (Expert Syst. Appl., 2025)

Deep feature response discriminative calibration. - Wenxiang Xu; Tian Qiu; Linyun Zhou; Zunlei Feng; Mingli Song; Huiqiong Wang (Neurocomputing, 2025)

Curriculum negative mining for temporal networks. - Ziyue Chen; Tongya Zheng; Mingli Song (Neural Networks, 2025)

Pseudo-labeling with keyword refining for few-supervised video captioning. - Ping Li 006; Tao Wang; Xinkui Zhao; Xianghua Xu; Mingli Song (Pattern Recognit., 2025)

Trend-Enhanced Variate Transformer for Vessel Trajectory Prediction by Exploiting Short-Term Behavior Distribution Differences at Intersections. - Chuiyi Deng; Shuangxin Wang; Junwei Li; Jingyi Liu; Hongrui Li; Zhuoyi Zhao; Yanyin Guo; Mingli Song (IEEE Trans. Instrum. Meas., 2025)

Training-free Heterogeneous Model Merging. - Zhengqi Xu; Han Zheng; Jie Song 011; Li Sun; Mingli Song (CoRR, 2025)

D2-DPM: Dual Denoising for Quantized Diffusion Probabilistic Models. - Qian Zeng; Jie Song 011; Han Zheng; Hao Jiang 014; Mingli Song (CoRR, 2025)

Activation Approximations Can Incur Safety Vulnerabilities Even in Aligned LLMs: Comprehensive Analysis and Defense. - Jiawen Zhang; Kejia Chen 007; Lipeng He; Jian Lou 001; Dan Li; Zunlei Feng; Mingli Song; Jian Liu 012; Kui Ren 001; Xiaohu Yang 001 (CoRR, 2025)

SecPE: Secure Prompt Ensembling for Private and Robust Large Language Models. - Jiawen Zhang; Kejia Chen 007; Zunlei Feng; Jian Lou 001; Mingli Song; Jian Liu 012; Xiaohu Yang 001 (CoRR, 2025)

Reasoning with Reinforced Functional Token Tuning. - Kongcheng Zhang; Qi Yao; Baisheng Lai; Jiaxing Huang 001; Wenkai Fang; Dacheng Tao; Mingli Song; Shunyu Liu 001 (CoRR, 2025)

MINT: Multi-modal Chain of Thought in Unified Generative Models for Enhanced Image Generation. - Yi Wang; Mushui Liu; Wanggui He; Longxiang Zhang; Ziwei Huang; Guanghao Zhang; Fangxun Shu; Tao Zhong; Dong She; Zhelun Yu; Haoyuan Li 002; Weilong Dai; et al. (CoRR, 2025)

Parallelized Planning-Acting for Efficient LLM-based Multi-Agent Systems. - Yaoru Li; Shunyu Liu 001; Tongya Zheng; Mingli Song (CoRR, 2025)

SHAPE : Self-Improved Visual Preference Alignment by Iteratively Generating Holistic Winner. - Kejia Chen 007; Jiawen Zhang; Jiacong Hu; Jiazhen Yang; Jian Lou 001; Zunlei Feng; Mingli Song (CoRR, 2025)

A Survey of Direct Preference Optimization. - Shunyu Liu 001; Wenkai Fang; Zetian Hu; Junjie Zhang; Yang Zhou; Kongcheng Zhang; Rongcheng Tu; Ting-En Lin; Fei Huang 002; Mingli Song; Yongbin Li; Dacheng Tao (CoRR, 2025)

Reinforced Model Merging. - Jiaqi Han; Jingwen Ye; Shunyu Liu 001; Haofei Zhang; Jie Song 011; Zunlei Feng; Mingli Song (CoRR, 2025)

Boosting MLLM Reasoning with Text-Debiased Hint-GRPO. - Qihan Huang; Long Chan; Jinlong Liu; Wanggui He; Hao Jiang 014; Mingli Song; Jingyuan Chen; Chang Yao; Jie Song 011 (CoRR, 2025)

Curricular Subgoals for Inverse Reinforcement Learning. - Shunyu Liu 001; Yunpeng Qing; Shuqi Xu; Hongyan Wu; Jiangtao Zhang; Jingyuan Cong; Tianhao Chen; Yun-Fu Liu; Mingli Song (IEEE Trans. Intell. Transp. Syst., 2025)

Mixed Attention and Channel Shift Transformer for Efficient Action Recognition. - Xiusheng Lu; Yanbin Hao; Lechao Cheng; Sicheng Zhao; Yutao Liu 002; Mingli Song (ACM Trans. Multim. Comput. Commun. Appl., 2025)

Sample-level Adaptive Knowledge Distillation for Action Recognition. - Ping Li; Chenhao Ping; Wenxiao Wang; Mingli Song (CoRR, 2025)

Quantizing Diffusion Models from a Sampling-Aware Perspective. - Qian Zeng; Jie Song 011; Yuanyu Wan; Huiqiong Wang; Mingli Song (CoRR, 2025)

Diffusion Model Quantization: A Review. - Qian Zeng; Chenggong Hu; Mingli Song; Jie Song 011 (CoRR, 2025)

Bi-level Mean Field: Dynamic Grouping for Large-Scale MARL. - Yuxuan Zheng; Yihe Zhou; Feiyang Xu; Mingli Song; Shunyu Liu 001 (CoRR, 2025)

Adaptive Location Hierarchy Learning for Long-Tailed Mobility Prediction. - Yu Wang 176; Junshu Dai; Yuchen Ying; Yuxuan Liang; Tongya Zheng; Mingli Song (CoRR, 2025)

SeRL: Self-Play Reinforcement Learning for Large Language Models with Limited Data. - Wenkai Fang; Shunyu Liu 001; Yang Zhou; Kongcheng Zhang; Tongya Zheng; Kai-Xuan Chen 001; Mingli Song; Dacheng Tao (CoRR, 2025)

Consistent Paths Lead to Truth: Self-Rewarding Reinforcement Learning for LLM Reasoning. - Kongcheng Zhang; Qi Yao; Shunyu Liu 001; Yingjie Wang; Baisheng Lai; Jieping Ye; Mingli Song; Dacheng Tao (CoRR, 2025)

GUI-Robust: A Comprehensive Dataset for Testing GUI Agent Robustness in Real-World Anomalies. - Jingqi Yang; Zhilong Song; Jiawei Chen; Mingli Song; Sheng Zhou; Linjun Sun; Xiaogang Ouyang; Chun Chen; Can Wang (CoRR, 2025)

Q-resafe: Assessing Safety Risks and Quantization-aware Safety Patching for Quantized Large Language Models. - Kejia Chen 007; Jiawen Zhang; Jiacong Hu; Yu Wang 176; Jian Lou 001; Zunlei Feng; Mingli Song (CoRR, 2025)

Dataset Ownership Verification for Pre-trained Masked Models. - Yuechen Xie; Jie Song 011; Yicheng Shan; Xiaoyan Zhang; Yuanyu Wan; Shengxuming Zhang; Jiarui Duan; Mingli Song (CoRR, 2025)

From One to Many: Portable Model Construction With Independent Network Units. - Zhaocheng Lu; Haofei Zhang; Li Sun; Jiabin Xia; Jingwen Ye; Mingli Song (IEEE Internet Things J., 2025)

A Survey of Neural Trees: Co-Evolving Neural Networks and Decision Trees. - Haoling Li; Jie Song 011; Mengqi Xue; Haofei Zhang; Mingli Song (IEEE Trans. Neural Networks Learn. Syst., 2025)

A robust federated biased learning algorithm for time series forecasting. - Mingli Song; Xinyu Zhao; Witold Pedrycz (Clust. Comput., 2025)

VeriGUI: Verifiable Long-Chain GUI Dataset. - Shunyu Liu 001; Minghao Liu 003; Huichi Zhou; Zhenyu Cui; Yang Zhou; Yuhao Zhou; Wendong Fan; Ge Zhang 009; Jiajun Shi; Weihao Xuan; Jiaxing Huang 001; Shuang Luo; et al. (CoRR, 2025)