Face Recognition Using Overcomplete Independent Component Analysis. - Jian Cheng 001; Hanqing Lu; Yen-Wei Chen 001; Xiang-Yan Zeng (KES, 2003)

Image Retrieval Based on Independent Components of Color Histograms. - Xiang-Yan Zeng; Yen-Wei Chen 001; Zensho Nakao; Jian Cheng 001; Hanqing Lu (KES, 2003)

Real-Time Infrared Object Tracking Based on Mean Shift. - Jian Cheng 001; Jie Yang 002 (CIARP, 2004)

Modeling Face Appearance With Nonlinear Independent Component Analysis. - Qingshan Liu 001; Jian Cheng 001; Hanqing Lu; Songde Ma (FGR, 2004)

A supervised nonlinear local embedding for face recognition. - Jian Cheng 001; Qingshan Liu 001; Hanqing Lu; Yen-Wei Chen 001 (ICIP, 2004)

Texture Classification Using Kernel Independent Component Analysi. - Jian Cheng 001; Qingshan Liu 001; Hanqing Lu; Yen-Wei Chen 001 (ICPR (1), 2004)

Distance Based Kernel PCA Image Reconstruction. - Qingshan Liu 001; Jian Cheng 001; Hanqing Lu; Songde Ma (ICPR (3), 2004)

Random Independent Subspace for Face Recognition. - Jian Cheng 001; Qingshan Liu 001; Hanqing Lu; Yen-Wei Chen 001 (KES, 2004)

Improving ICA Performance for Modeling Image Appearance with the Kernel Trick. - Qingshan Liu 001; Jian Cheng 001; Hanqing Lu; Songde Ma (KES, 2004)

A Spatial Weighted Color Histogram for Image Retrieval. - Jian Cheng 001; Yen-Wei Chen 001; Hanqing Lu; Xiang-Yan Zeng (IEICE Trans. Inf. Syst., 2004)

Independent Component Analysis for Color Indexing. - Xiang-Yan Zeng; Yen-Wei Chen 001; Zensho Nakao; Jian Cheng 001; Hanqing Lu (IEICE Trans. Inf. Syst., 2004)

A Novel Adaptive Gaussian Mixture Model for Background Subtraction. - Jian Cheng 001; Jie Yang 002; Yue Zhou 005 (IbPRIA (1), 2005)

A Cascaded Ensemble Learning for Independent Component Analysis. - Jian Cheng 001; Kongqiao Wang; Yen-Wei Chen 001 (ISNN (1), 2005)

Supervised kernel locality preserving projections for face recognition. - Jian Cheng 001; Qingshan Liu 001; Hanqing Lu; Yen-Wei Chen 001 (Neurocomputing, 2005)

Multi-View Sampling for Relevance Feedback in Image Retrieval. - Jian Cheng 001; Kongqiao Wang (ICPR (2), 2006)

Flexible background mixture models for foreground segmentation. - Jian Cheng 001; Jie Yang 002; Yue Zhou 005; Yingying Cui (Image Vis. Comput., 2006)

Ensemble learning for independent component analysis. - Jian Cheng 001; Qingshan Liu 001; Hanqing Lu; Yen-Wei Chen 001 (Pattern Recognit., 2006)

Image Segmentation Using Co-EM Strategy. - Zhenglong Li 001; Jian Cheng 001; Qingshan Liu 001; Hanqing Lu (ACCV (2), 2007)

Robust lip Localization on Multi-View Faces in Video. - Yi Wu 001; Rui Ma; Wei Hu 002; Tao Wang 003; Yimin Zhang 002; Jian Cheng 001; Hanqing Lu (ICIP (4), 2007)

Weighted Co-SVM for Image Retrieval with MVB Strategy. - Xiaoyu Zhang 002; Jian Cheng 001; Hanqing Lu; Songde Ma (ICIP (4), 2007)

A Real-Time Hand Gesture Recognition Method. - Yikai Fang; Kongqiao Wang; Jian Cheng 001; Hanqing Lu (ICME, 2007)

Robust Speaking Face Identification for Video Analysis. - Yi Wu 001; Wei Hu 002; Tao Wang 003; Yimin Zhang 002; Jian Cheng 001; Hanqing Lu (PCM, 2007)

Active learning for image retrieval with Co-SVM. - Jian Cheng 001; Kongqiao Wang (Pattern Recognit., 2007)

Synchronization analysis for synchronized diving videos. - Haoyang Ding; Jian Cheng 001; Hanqing Lu; Zhixin Zhou (ICME, 2008)

A novel contextual descriptors for category recognition. - Yi Ouyang; Ming Tang 001; Jian Cheng 001; Jinqiao Wang; Hanqing Lu; Songde Ma (ICME, 2008)

Human-centered image navigation on mobile devices. - Cunxun Zang; Qingshan Liu 001; Jian Cheng 001; Hanqing Lu (ICME, 2008)

Automatic semantic annotation for video blogs. - Xiaoyu Zhang 002; Changsheng Xu; Jian Cheng 001; Hanqing Lu; Songde Ma (ICME, 2008)

Change detection based on adaptive Markov Random Fields. - Keming Chen; Chunlei Huo; Jian Cheng 001; Zhixin Zhou; Hanqing Lu (ICPR, 2008)

Hand posture recognition with co-training. - Yikai Fang; Jian Cheng 001; Jinqiao Wang; Kongqiao Wang; Jing Liu 001; Hanqing Lu (ICPR, 2008)

Saliency Cuts: An automatic approach to object segmentation. - Yu Fu; Jian Cheng 001; Zhenglong Li 001; Hanqing Lu (ICPR, 2008)

A variational inference based approach for image segmentation. - Zhenglong Li 001; Qingshan Liu 001; Jian Cheng 001; Hanqing Lu (ICPR, 2008)

Multi-cue collaborative kernel tracking with cross ratio invariant constraint. - Lili Ma; Jian Cheng 001; Hanqing Lu (ICPR, 2008)

A Multilevel Contextual Approach to Change Detection for very high Resolution Images. - Chunlei Huo; Keming Chen; Zhixin Zhou; Hanqing Lu; Jian Cheng 001; Qingshan Liu 001 (IGARSS (4), 2008)

Urban Change Detection based on Local Features and Multiscale Fusion. - Chunlei Huo; Zhixin Zhou; Qingshan Liu 001; Jian Cheng 001; Hanqing Lu; Keming Chen (IGARSS (3), 2008)

Selective Sampling Based on Dynamic Certainty Propagation for Image Retrieval. - Xiaoyu Zhang 002; Jian Cheng 001; Hanqing Lu; Songde Ma (MMM, 2008)

Active Learning for Relevance Feedback in Image Retrieval. - Jian Cheng 001; Kongqiao Wang; Hanqing Lu (Semantic Mining Technologies for Multimedia Databases, 2009)

A robust boosting tracker with minimum error bound in a co-training framework. - Rong Liu; Jian Cheng 001; Hanqing Lu (ICCV, 2009)

Real-time visual tracking via Incremental Covariance Tensor Learning. - Yi Wu 001; Jian Cheng 001; Jinqiao Wang; Hanqing Lu (ICCV, 2009)

Human activity recognition based on the blob features. - Jie Yang 002; Jian Cheng 001; Hanqing Lu (ICME, 2009)

Human-centered picture slideshow personalization for mobile devices. - Cunxun Zang; Yu Fu; Jian Cheng 001; Hanqing Lu; Jian Ma 001 (ICME, 2009)

Multi-view multi-label active learning for image classification. - Xiaoyu Zhang 002; Jian Cheng 001; Changsheng Xu; Hanqing Lu; Songde Ma (ICME, 2009)

Naming faces in films using hypergraph matching. - Yifan Zhang 001; Changsheng Xu; Jian Cheng 001; Hanqing Lu (ICME, 2009)

Semi-supervised Change Detection via Gaussian Processes. - Keming Chen; Chunlei Huo; Zhixin Zhou; Hanqing Lu; Jian Cheng 001 (IGARSS (2), 2009)

A Variational Bayesian Approach to Remote Sensing Image Change Detection. - Keming Chen; Zhenglong Li 001; Jian Cheng 001; Zhixin Zhou; Hanqing Lu (IGARSS (3), 2009)

A Variational Co-training Framework for Remote Sensing Image Segmentation. - Keming Chen; Zhenglong Li 001; Jian Cheng 001; Zhixin Zhou; Hanqing Lu (IGARSS (4), 2009)

A Novel Role-Based Movie Scene Segmentation Method. - Chao Liang 001; Yifan Zhang 001; Jian Cheng 001; Changsheng Xu; Hanqing Lu (PCM, 2009)

Sports Video Analysis: Semantics Extraction, Editorial Content Creation and Adaptation. - Changsheng Xu; Jian Cheng 001; Yi Zhang 007; Yifan Zhang 001; Hanqing Lu (J. Multim., 2009)

Effective Annotation and Search for Video Blogs with Integration of Context and Content Analysis. - Xiaoyu Zhang 002; Changsheng Xu; Jian Cheng 001; Hanqing Lu; Songde Ma (IEEE Trans. Multim., 2009)

A co-Gaussian Process based framework for remote sensing image change detection. - Keming Chen; Zhenglong Li 001; Jian Cheng 001; Zhixin Zhou; Hanqing Lu (ICASSP, 2010)

A improved silhouette tracking approach integrating particle filter with graph cuts. - Lili Ma; Jing Liu 001; Jinqiao Wang; Jian Cheng 001; Hanqing Lu (ICASSP, 2010)

Personalized Sports Video Customization for Mobile Devices. - Chao Liang 001; Yu Jiang; Jian Cheng 001; Changsheng Xu; Xiaowei Luo; Jinqiao Wang; Yu Fu; Hanqing Lu; Jian Ma 001 (MMM, 2010)

Abnormal Change Detection of Image Quality Metric Series Using Diffusion Process and Stopping Time Theory. - Haoting Liu; Jian Cheng 001; Hanqing Lu (PCM (1), 2010)

Visual Attention Model Based Object Tracking. - Lili Ma; Jian Cheng 001; Jing Liu 001; Jinqiao Wang; Hanqing Lu (PCM (2), 2010)

Building topographic subspace model with transfer learning for sparse representation. - Yang Liu 021; Jian Cheng 001; Changsheng Xu; Hanqing Lu (Neurocomputing, 2010)

TVParser: An automatic TV video parsing method. - Chao Liang 001; Changsheng Xu; Jian Cheng 001; Hanqing Lu (CVPR, 2011)

Representative sampling with certainty propagation for image retrieval. - Jian Cheng 001; Biao Niu; Yikai Fang; Hanqing Lu (ICIP, 2011)

Learning to detect salient region of image under weak supervision. - Jian Cheng 001; Yu Fu; Hanqing Lu (ICME, 2011)

Robust movie character identification and the sensitivity analysis. - Jitao Sang; Chao Liang 001; Changsheng Xu; Jian Cheng 001 (ICME, 2011)

Correlated PLSA for Image Clustering. - Peng Li; Jian Cheng 001; Zechao Li; Hanqing Lu (MMM (1), 2011)

Image Quality Feedback-Based Adaptive Video Definition Improvement for the Space Manipulation Task. - Haoting Liu; Jie Li; Zheng Wang; Jian Cheng 001; Hanqing Lu; Yan Zhao (Int. J. Image Graph., 2011)

Special edition on semi-supervised learning for visual content analysis and understanding. - Jian Cheng 001; Jinjun Wang; Shuqiang Jiang; Zhi-Hua Zhou; Edwin R. Hancock (Pattern Recognit., 2011)

Modeling Hidden Topics with Dual Local Consistency for Image Analysis. - Peng Li; Jian Cheng 001; Hanqing Lu (ACCV (1), 2012)

Improving Relevance Feedback for Image Retrieval with Asymmetric Sampling. - Biao Niu; Jian Cheng 001; Hanqing Lu (ICME, 2012)

Object detection via foreground contour feature selection and part-based shape model. - Huigang Zhang; Junxiu Wang; Xiao Bai 001; Jun Zhou 001; Jian Cheng 001; Huijie Zhao (ICPR, 2012)

An Incremental Structured Part Model for Image Classification. - Huigang Zhang; Xiao Bai 001; Jian Cheng 001; Jun Zhou 001; Huijie Zhao (SSPR/SPR, 2012)

Dimensionality reduction by Mixed Kernel Canonical Correlation Analysis. - Xiaofeng Zhu 001; Zi Huang; Heng Tao Shen; Jian Cheng 001; Changsheng Xu (Pattern Recognit., 2012)

Real-Time Probabilistic Covariance Tracking With Efficient Model Update. - Yi Wu 001; Jian Cheng 001; Jinqiao Wang; Hanqing Lu; Jun Wang; Haibin Ling; Erik Blasch; Li Bai 002 (IEEE Trans. Image Process., 2012)

Semi-supervised discriminative preference elicitation for cold-start recommendation. - Xi Zhang 018; Jian Cheng 001; Ting Yuan; Biao Niu; Hanqing Lu (CIKM, 2013)

Cost-sensitive background subtraction. - Xiang Zhang 006; Jian Cheng 001; Zhi Liu 003; Jie Yang 002 (ICIP, 2013)

Attribute expansion with sequential learning for object classification. - Biao Niu; Bin Li; Peng Li; Xi Zhang 018; Jian Cheng 001; Hanqing Lu (ICME Workshops, 2013)

Subspace learning based active learning for image retrieval. - Biao Niu; Yifan Zhang 001; Jinqiao Wang; Jian Cheng 001; Hanqing Lu (ICME Workshops, 2013)

Fusing multi-modal features for gesture recognition. - Jiaxiang Wu 001; Jian Cheng 001; Chaoyang Zhao; Hanqing Lu (ICMI, 2013)

A Weighted One Class Collaborative Filtering with Content Topic Features. - Ting Yuan; Jian Cheng 001; Xi Zhang 018; Qingshan Liu 001; Hanqing Lu (MMM (2), 2013)

TopRec: domain-specific recommendation through community topic mining in social network. - Xi Zhang 018; Jian Cheng 001; Ting Yuan; Biao Niu; Hanqing Lu (WWW, 2013)

Hashing with dual complementary projection learning for fast image retrieval. - Peng Li; Jian Cheng 001; Hanqing Lu (Neurocomputing, 2013)

Hierarchical Remote Sensing Image Analysis via Graph Laplacian Energy. - Huigang Zhang; Xiao Bai 001; Huaxin Zheng; Huijie Zhao; Jun Zhou 001; Jian Cheng 001; Hanqing Lu (IEEE Geosci. Remote. Sens. Lett., 2013)

Dual local consistency hashing with discriminative projections selection. - Peng Li; Jian Cheng 001; Hanqing Lu (Signal Process., 2013)

Asymmetric propagation based batch mode active learning for image retrieval. - Biao Niu; Jian Cheng 001; Xiao Bai 001; Hanqing Lu (Signal Process., 2013)

Object Detection Via Structural Feature Selection and Shape Model. - Huigang Zhang; Xiao Bai 001; Jun Zhou 001; Jian Cheng 001; Huijie Zhao (IEEE Trans. Image Process., 2013)

Spectral Hashing With Semantically Consistent Graph for Image Indexing. - Peng Li; Meng Wang 001; Jian Cheng 001; Changsheng Xu; Hanqing Lu (IEEE Trans. Multim., 2013)

Script-to-Movie: A Computational Framework for Story Movie Composition. - Chao Liang 001; Changsheng Xu; Jian Cheng 001; Weiqing Min; Hanqing Lu (IEEE Trans. Multim., 2013)

Recommendation by Mining Multiple User Behaviors with Group Sparsity. - Ting Yuan; Jian Cheng 001; Xi Zhang 018; Shuang Qiu 002; Hanqing Lu (AAAI, 2014)

Supervised Hashing with Soft Constraints. - Cong Leng; Jian Cheng 001; Jiaxiang Wu 001; Xi Zhang 018; Hanqing Lu (CIKM, 2014)

Fast and Accurate Image Matching with Cascade Hashing for 3D Reconstruction. - Jian Cheng 001; Cong Leng; Jiaxiang Wu 001; Hainan Cui; Hanqing Lu (CVPR, 2014)

Adaptive Object Retrieval with Kernel Reconstructive Hashing. - Haichuan Yang; Xiao Bai 001; Jun Zhou 001; Peng Ren 001; Zhihong Zhang 001; Jian Cheng 001 (CVPR, 2014)

Semi-randomized hashing for large scale data retrieval. - Haichuan Yang; Xiao Bai 001; Jun Zhou 001; Peng Ren 001; Jian Cheng 001; Lu Bai 001 (DSAA, 2014)

Less is More: Sparse Representative based Preference Elicitation for Cold Start Recommendation. - Xi Zhang 018; Jian Cheng 001; Hanqing Lu (ICIMCS, 2014)

Community discovering guided cold-start recommendation: A discriminative approach. - Shuang Qiu 002; Jian Cheng 001; Xi Zhang 018; Biao Niu; Hanqing Lu (ICME, 2014)

Learning Binary Codes with Bagging PCA. - Cong Leng; Jian Cheng 001; Ting Yuan; Xiao Bai 001; Hanqing Lu (ECML/PKDD (2), 2014)

Group latent factor model for recommendation with multiple user behaviors. - Jian Cheng 001; Ting Yuan; Jinqiao Wang; Hanqing Lu (SIGIR, 2014)

Random subspace for binary codes learning in large scale image retrieval. - Cong Leng; Jian Cheng 001; Hanqing Lu (SIGIR, 2014)

Item group based pairwise preference learning for personalized ranking. - Shuang Qiu 002; Jian Cheng 001; Ting Yuan; Cong Leng; Hanqing Lu (SIGIR, 2014)

Semi-supervised multi-graph hashing for scalable similarity search. - Jian Cheng 001; Cong Leng; Peng Li; Meng Wang 001; Hanqing Lu (Comput. Vis. Image Underst., 2014)

Feature Representation for Facial Expression Recognition Based on FACS and LBP. - Li Wang 092; Rui-Feng Li; Ke Wang 028; Jian Cheng 001 (Int. J. Autom. Comput., 2014)

Beyond semantic attributes: Auxiliary feature discovery for image classification. - Biao Niu; Jian Cheng 001; Yang Liu 021; Hanqing Lu (Neurocomputing, 2014)

Object categorization in sub-semantic space. - Chunjie Zhang; Jian Cheng 001; Jing Liu 001; Junbiao Pang; Chao Liang 001; Qingming Huang; Qi Tian 001 (Neurocomputing, 2014)

Bayesian co-boosting for multi-modal gesture recognition. - Jiaxiang Wu 001; Jian Cheng 001 (J. Mach. Learn. Res., 2014)

Data-Dependent Hashing Based on p-Stable Distribution. - Xiao Bai 001; Haichuan Yang; Jun Zhou 001; Peng Ren 001; Jian Cheng 001 (IEEE Trans. Image Process., 2014)

Personalized Recommendation Meets Your Next Favorite. - Qiang Song; Jian Cheng 001; Ting Yuan; Hanqing Lu (CIKM, 2015)

Online sketching hashing. - Cong Leng; Jiaxiang Wu 001; Jian Cheng 001; Xiao Bai 001; Hanqing Lu (CVPR, 2015)

Concurrent group activity classification with context modeling. - Wei Fu; Chaoyang Zhao; Jinqiao Wang; Jing Liu 001; Jian Cheng 001; Hanqing Lu (ICIMCS, 2015)

Hashing for Distributed Data. - Cong Leng; Jiaxiang Wu 001; Jian Cheng 001; Xi Zhang 018; Hanqing Lu (ICML, 2015)

Learning Deep Features For MSR-bing Information Retrieval Challenge. - Qiang Song; Sixie Yu; Cong Leng; Jiaxiang Wu 001; Qinghao Hu 001; Jian Cheng 001 (ACM Multimedia, 2015)

Incremental Matrix Factorization via Feature Space Re-learning for Recommender System. - Qiang Song; Jian Cheng 001; Hanqing Lu (RecSys, 2015)

When Personalization Meets Conformity: Collective Similarity based Multi-Domain Recommendation. - Xi Zhang 018; Jian Cheng 001; Shuang Qiu 002; Zhenfeng Zhu; Hanqing Lu (SIGIR, 2015)

Exploring Heterogeneity for Multi-Domain Recommendation with Decisive Factors Selection. - Shuang Qiu 002; Jian Cheng 001; Xi Zhang 018; Hanqing Lu (WWW (Companion Volume), 2015)

Image classification using boosted local features with random orientation and location selection. - Chunjie Zhang; Jian Cheng 001; Yifan Zhang 001; Jing Liu 001; Chao Liang 001; Junbiao Pang; Qingming Huang; Qi Tian 001 (Inf. Sci., 2015)

How friends affect user behaviors? An exploration of social relation analysis for recommendation. - Ting Yuan; Jian Cheng 001; Xi Zhang 018; Qingshan Liu 001; Hanqing Lu (Knowl. Based Syst., 2015)

DualDS: A dual discriminative rating elicitation framework for cold start recommendation. - Xi Zhang 018; Jian Cheng 001; Shuang Qiu 002; Guibo Zhu; Hanqing Lu (Knowl. Based Syst., 2015)

Consensus hashing. - Cong Leng; Jian Cheng 001 (Mach. Learn., 2015)

Learning latent semantic model with visual consistency for image analysis. - Jian Cheng 001; Peng Li; Ting Rui; Hanqing Lu (Multim. Tools Appl., 2015)

Beyond Explicit Codebook Generation: Visual Representation Using Implicitly Transferred Codebooks. - Chunjie Zhang; Jian Cheng 001; Jing Liu 001; Junbiao Pang; Qingming Huang; Qi Tian 001 (IEEE Trans. Image Process., 2015)

Shoot to Know What: An Application of Deep Networks on Mobile Devices. - Jiaxiang Wu 001; Qinghao Hu 001; Cong Leng; Jian Cheng 001 (AAAI, 2016)

DeepBE: Learning Deep Binary Encoding for Multi-label Classification. - Chenghua Li; Qi Kang; Guojing Ge; Qiang Song; Hanqing Lu; Jian Cheng 001 (CVPR Workshops, 2016)

Quantized Convolutional Neural Networks for Mobile Devices. - Jiaxiang Wu 001; Cong Leng; Yuhang Wang; Qinghao Hu 001; Jian Cheng 001 (CVPR, 2016)

Learning to recognition from Bing Clickture data. - Chenghua Li; Qiang Song; Yuhang Wang; Hang Song; Qi Kang; Jian Cheng 001; Hanqing Lu (ICME Workshops, 2016)

Accelerating Convolutional Neural Networks for Mobile Applications. - Peisong Wang; Jian Cheng 001 (ACM Multimedia, 2016)

Sequentially Supervised Long Short-Term Memory for Gesture Recognition. - Peisong Wang; Qiang Song; Hua Han 001; Jian Cheng 001 (Cogn. Comput., 2016)

LSSLP - Local structure sensitive label propagation. - Zhenfeng Zhu; Jian Cheng 001; Yao Zhao 001; Jieping Ye (Inf. Sci., 2016)

Enriching one-class collaborative filtering with content information from social media. - Ting Yuan; Jian Cheng 001; Xi Zhang 018; Qinshan Liu; Hanqing Lu (Multim. Syst., 2016)

Guest Editorial: Image Analysis and Processing Leveraging Additional Information. - Luis Herranz; Jian Cheng 001; Yue Gao 002; Shuqiang Jiang (Multim. Tools Appl., 2016)

Bayesian Co-Boosting for Multi-modal Gesture Recognition. - Jiaxiang Wu 001; Jian Cheng 001 (Gesture Recognition, 2017)

Fast K-means for Large Scale Clustering. - Qinghao Hu 001; Jiaxiang Wu 001; Lu Bai 001; Yifan Zhang 001; Jian Cheng 001 (CIKM, 2017)

Fixed-Point Factorized Networks. - Peisong Wang; Jian Cheng 001 (CVPR, 2017)

Egocentric Gesture Recognition Using Recurrent 3D Convolutional Neural Networks with Spatiotemporal Transformer Modules. - Congqi Cao; Yifan Zhang 001; Yi Wu 001; Hanqing Lu; Jian Cheng 001 (ICCV, 2017)

De-biased dart ensemble model for personalized recommendation. - Deqiang Kong; Jingyuan Tang; Zhenfeng Zhu; Jian Cheng 001; Yao Zhao 001 (ICME, 2017)

Measuring Word Semantic Similarity Based on Transferred Vectors. - Changliang Li; Teng Ma; Yujun Zhou 001; Jian Cheng 001; Bo Xu 002 (ICONIP (4), 2017)

Pseudo Label based Unsupervised Deep Discriminative Hashing for Image Retrieval. - Qinghao Hu 001; Jiaxiang Wu 001; Jian Cheng 001; Lifang Wu; Hanqing Lu (ACM Multimedia, 2017)

From Hashing to CNNs: Training Binary Weight Networks via Hashing. - Qinghao Hu 001; Peisong Wang; Jian Cheng 001 (AAAI, 2018)

Two-Step Quantization for Low-Bit Neural Networks. - Peisong Wang; Qinghao Hu 001; Yifan Zhang 001; Chunjie Zhang; Yang Liu 021; Jian Cheng 001 (CVPR, 2018)

Block convolution: Towards memory-efficient inference of large-scale CNNs on FPGA. - Gang Li 015; Fanrong Li; Tianli Zhao; Jian Cheng 001 (DATE, 2018)

Learning Compression from Limited Unlabeled Data. - Xiangyu He; Jian Cheng 001 (ECCV (1), 2018)

Training Binary Weight Networks via Semi-Binary Decomposition. - Qinghao Hu 001; Gang Li 015; Peisong Wang; Yifan Zhang 001; Jian Cheng 001 (ECCV (13), 2018)

Semi-supervised Generative Adversarial Hashing for Image Retrieval. - Guan'an Wang; Qinghao Hu 001; Jian Cheng 001; Zeng-Guang Hou (ECCV (15), 2018)

VisDrone-SOT2018: The Vision Meets Drone Single-Object Tracking Challenge Results. - Longyin Wen; Pengfei Zhu 001; Dawei Du; Xiao Bian; Haibin Ling; Qinghua Hu; Chenfeng Liu; Hao Cheng 010; Xiaoyu Liu 005; Wenya Ma; Qinqin Nie; Haotian Wu 006; et al. (ECCV Workshops (5), 2018)

VisDrone-DET2018: The Vision Meets Drone Object Detection in Image Challenge Results. - Pengfei Zhu 001; Longyin Wen; Dawei Du; Xiao Bian; Haibin Ling; Qinghua Hu; Qinqin Nie; Hao Cheng 010; Chenfeng Liu; Xiaoyu Liu 005; Wenya Ma; Haotian Wu 006; et al. (ECCV Workshops (5), 2018)

Core-set based product quantization for large-scale multimedia search. - Tianli Zhao; Yanshu Jiang; Jiaxiang Wu 001; Jian Cheng 001 (ICIMCS, 2018)

BitStream: Efficient Computing Architecture for Real-Time Low-Power Inference of Binary Neural Networks on CPUs. - Tianli Zhao; Xiangyu He; Jian Cheng 001; Jing Hu (ACM Multimedia, 2018)

BundleNet: Learning with Noisy Label via Sample Correlations. - Chenghua Li; Chunjie Zhang; Kun Ding; Gang Li 015; Jian Cheng 001; Hanqing Lu (IEEE Access, 2018)

From Hashing to CNNs: Training BinaryWeight Networks via Hashing. - Qinghao Hu 001; Peisong Wang; Jian Cheng 001 (CoRR, 2018)

Adaptive Spectral Graph Convolutional Networks for Skeleton-Based Action Recognition. - Lei Shi 018; Yifan Zhang 001; Jian Cheng 001; Hanqing Lu (CoRR, 2018)

A Quantum Spatial Graph Convolutional Neural Network using Quantum Passing Information. - Lu Bai 001; Yuhang Jiao 001; Luca Rossi 004; Lixin Cui; Jian Cheng 001; Edwin R. Hancock (CoRR, 2018)

Image-level classification by hierarchical structure learning with visual and semantic similarities. - Chunjie Zhang; Jian Cheng 001; Qi Tian 001 (Inf. Sci., 2018)

Birds of a feather flock together: Visual representation with scale and class consistency. - Chunjie Zhang; Chenghua Li; Dongyuan Lu; Jian Cheng 001; Qi Tian 001 (Inf. Sci., 2018)

Recent advances in efficient computation of deep convolutional neural networks. - Jian Cheng 001; Peisong Wang; Gang Li 015; Qinghao Hu 001; Hanqing Lu (Frontiers Inf. Technol. Electron. Eng., 2018)

Incremental Codebook Adaptation for Visual Representation and Categorization. - Chunjie Zhang; Jian Cheng 001; Qi Tian 001 (IEEE Trans. Cybern., 2018)

EgoGesture: A New Dataset and Benchmark for Egocentric Hand Gesture Recognition. - Yifan Zhang 001; Congqi Cao; Jian Cheng 001; Hanqing Lu (IEEE Trans. Multim., 2018)

Multiview Label Sharing for Visual Representations and Classifications. - Chunjie Zhang; Jian Cheng 001; Qi Tian 001 (IEEE Trans. Multim., 2018)

Quantized CNN: A Unified Approach to Accelerate and Compress Convolutional Networks. - Jian Cheng 001; Jiaxiang Wu 001; Cong Leng; Yuhang Wang; Qinghao Hu 001 (IEEE Trans. Neural Networks Learn. Syst., 2018)

Object Categorization Using Class-Specific Representations. - Chunjie Zhang; Jian Cheng 001; Liang Li 003; Changsheng Li; Qi Tian 001 (IEEE Trans. Neural Networks Learn. Syst., 2018)

Image-Specific Classification With Local and Global Discriminations. - Chunjie Zhang; Jian Cheng 001; Changsheng Li; Qi Tian 001 (IEEE Trans. Neural Networks Learn. Syst., 2018)

Structured Weak Semantic Space Construction for Visual Categorization. - Chunjie Zhang; Jian Cheng 001; Qi Tian 001 (IEEE Trans. Neural Networks Learn. Syst., 2018)

DeepSearch: A Fast Image Search Framework for Mobile Devices. - Peisong Wang; Qinghao Hu 001; Zhiwei Fang; Chaoyang Zhao; Jian Cheng 001 (ACM Trans. Multim. Comput. Commun. Appl., 2018)

ODE-Inspired Network Design for Single Image Super-Resolution. - Xiangyu He; Zitao Mo; Peisong Wang; Yang Liu 021; Mingyuan Yang; Jian Cheng 001 (CVPR, 2019)

K-Nearest Neighbors Hashing. - Xiangyu He; Peisong Wang; Jian Cheng 001 (CVPR, 2019)

Skeleton-Based Action Recognition With Directed Graph Neural Networks. - Lei Shi 018; Yifan Zhang 001; Jian Cheng 001; Hanqing Lu (CVPR, 2019)

Two-Stream Adaptive Graph Convolutional Networks for Skeleton-Based Action Recognition. - Lei Shi 018; Yifan Zhang 001; Jian Cheng 001; Hanqing Lu (CVPR, 2019)

RGB-Infrared Cross-Modality Person Re-Identification via Joint Pixel and Feature Alignment. - Guan'an Wang; Tianzhu Zhang 001; Jian Cheng 001; Si Liu 001; Yang Yang 062; Zengguang Hou (ICCV, 2019)

A System-Level Solution for Low-Power Object Detection. - Fanrong Li; Yang Zhang; Jian Cheng 001; Zitao Mo; Peisong Wang; Zejian Liu; Jiayun Zhang; Gang Li 015; Qinghao Hu 001; Xiangyu He; Cong Leng (ICCV Workshops, 2019)

DeLTR: A Deep Learning Based Approach to Traffic Light Recognition. - Yiyang Cai; Chenghua Li; Sujuan Wang; Jian Cheng 001 (ICIG (3), 2019)

Gesture Recognition Using Spatiotemporal Deformable Convolutional Representation. - Lei Shi 018; Yifan Zhang 001; Jing Hu; Jian Cheng 001; Hanqing Lu (ICIP, 2019)

Reading selectively via Binary Input Gated Recurrent Unit. - Zhe Li; Peisong Wang; Hanqing Lu; Jian Cheng 001 (IJCAI, 2019)

Color-Sensitive Person Re-Identification. - Guan'an Wang; Yang Yang 062; Jian Cheng 001; Jinqiao Wang; Zeng-Guang Hou (IJCAI, 2019)

Semi-supervised Learning with Contrastive Predicative Coding. - Jiaxing Wang; Yin Zheng; Xiaoshuang Chen; Junzhou Huang; Jian Cheng 001 (CoRR, 2019)

Location-aware Upsampling for Semantic Segmentation. - Xiangyu He; Zitao Mo; Qiang Chen 007; Anda Cheng; Peisong Wang; Jian Cheng 001 (CoRR, 2019)

Diffusion induced graph representation learning. - Fuzhen Li; Zhenfeng Zhu; Xingxing Zhang 001; Jian Cheng 001; Yao Zhao 001 (Neurocomputing, 2019)

BitStream: An efficient framework for inference of binary neural networks on CPUs. - Yanshu Jiang; Tianli Zhao; Xiangyu He; Cong Leng; Jian Cheng 001 (Pattern Recognit. Lett., 2019)

Edge Heuristic GAN for Non-Uniform Blind Deblurring. - Shuai Zheng 005; Zhenfeng Zhu; Jian Cheng 001; Yandong Guo; Yao Zhao 001 (IEEE Signal Process. Lett., 2019)

Multiview, Few-Labeled Object Categorization by Predicting Labels With View Consistency. - Chunjie Zhang; Jian Cheng 001; Qi Tian 001 (IEEE Trans. Cybern., 2019)

Unsupervised and Semi-Supervised Image Classification With Weak Semantic Consistency. - Chunjie Zhang; Jian Cheng 001; Qi Tian 001 (IEEE Trans. Multim., 2019)

Semantically Modeling of Object and Context for Categorization. - Chunjie Zhang; Jian Cheng 001; Qi Tian 001 (IEEE Trans. Neural Networks Learn. Syst., 2019)

Sparsity-Inducing Binarized Neural Networks. - Peisong Wang; Xiangyu He; Gang Li 015; Tianli Zhao; Jian Cheng 001 (AAAI, 2020)

M-NAS: Meta Neural Architecture Search. - Jiaxing Wang; Jiaxiang Wu 001; Haoli Bai; Jian Cheng 001 (AAAI, 2020)

Cross-Modality Paired-Images Generation for RGB-Infrared Person Re-Identification. - Guan'an Wang; Tianzhu Zhang 001; Yang Yang 062; Jian Cheng 001; Jianlong Chang; Xu Liang; Zeng-Guang Hou (AAAI, 2020)

Decoupled Spatial-Temporal Attention Network for Skeleton-Based Action-Gesture Recognition. - Lei Shi 018; Yifan Zhang 001; Jian Cheng 001; Hanqing Lu (ACCV (5), 2020)

Towards Convolutional Neural Networks Compression via Global&Progressive Product Quantization. - Weihan Chen; Peisong Wang; Jian Cheng 001 (BMVC, 2020)

Skeleton-Based Action Recognition With Shift Graph Convolutional Network. - Ke Cheng 002; Yifan Zhang 001; Xiangyu He; Weihan Chen; Jian Cheng 001; Hanqing Lu (CVPR, 2020)

Distribution-Induced Bidirectional Generative Adversarial Network for Graph Representation Learning. - Shuai Zheng 005; Zhenfeng Zhu; Xingxing Zhang 001; Zhizhe Liu; Jian Cheng 001; Yao Zhao 001 (CVPR, 2020)

Hardware Acceleration of CNN with One-Hot Quantization of Weights and Activations. - Gang Li 015; Peisong Wang; Zejian Liu; Cong Leng; Jian Cheng 001 (DATE, 2020)

Decoupling GCN with DropGraph Module for Skeleton-Based Action Recognition. - Ke Cheng 002; Yifan Zhang 001; Congqi Cao; Lei Shi 018; Jian Cheng 001; Hanqing Lu (ECCV (24), 2020)

An Ensemble Neural Network for Scene Relighting with Light Classification. - Liping Dong; Yu Zhu 004; Zhuolong Jiang; Xiangyu He; Zhaohui Meng; Chenghua Li; Cong Leng; Jian Cheng 001 (ECCV Workshops (3), 2020)

ProxyBNN: Learning Binarized Neural Networks via Proxy Matrices. - Xiangyu He; Zitao Mo; Ke Cheng 002; Weixiang Xu; Qinghao Hu 001; Peisong Wang; Qingshan Liu 001; Jian Cheng 001 (ECCV (3), 2020)

AIM 2020: Scene Relighting and Illumination Estimation Challenge. - Majed El Helou; Ruofan Zhou; Sabine Süsstrunk; Radu Timofte; Mahmoud Afifi; Michael S. Brown; Kele Xu; Hengxing Cai; Yuzhong Liu; Li-Wen Wang; Zhi-Song Liu; Chu-Tak Li; et al. (ECCV Workshops (3), 2020)

AIM 2020 Challenge on Rendering Realistic Bokeh. - Andrey Ignatov; Radu Timofte; Ming Qian; Congyu Qiao; Jiamin Lin; Zhenyu Guo; Chenghua Li; Cong Leng; Jian Cheng 001; Juewen Peng; Xianrui Luo; Ke Xian; et al. (ECCV Workshops (3), 2020)

BGGAN: Bokeh-Glass Generative Adversarial Network for Rendering Realistic Bokeh. - Ming Qian; Congyu Qiao; Jiamin Lin; Zhenyu Guo; Chenghua Li; Cong Leng; Jian Cheng 001 (ECCV Workshops (3), 2020)

Faster Person Re-identification. - Guan'an Wang; Shaogang Gong; Jian Cheng 001; Zengguang Hou (ECCV (8), 2020)

AIM 2020 Challenge on Efficient Super-Resolution: Methods and Results. - Kai Zhang 008; Martin Danelljan; Yawei Li 001; Radu Timofte; Jie Liu 040; Jie Tang 006; Gangshan Wu; Yu Zhu 004; Xiangyu He; Wenjie Xu; Chenghua Li; Cong Leng; et al. (ECCV Workshops (3), 2020)

EEDNet: Enhanced Encoder-Decoder Network for AutoISP. - Yu Zhu 004; Zhenyu Guo; Tian Liang; Xiangyu He; Chenghua Li; Cong Leng; Bo Jiang 002; Yifan Zhang 001; Jian Cheng 001 (ECCV Workshops (3), 2020)

Rethinking The Pid Optimizer For Stochastic Optimization Of Deep Networks. - Lei Shi 018; Yifan Zhang 001; Wanguo Wang; Jian Cheng 001; Hanqing Lu (ICME, 2020)

Towards Accurate Post-training Network Quantization via Bit-Split and Stitching. - Peisong Wang; Qiang Chen 007; Xiangyu He; Jian Cheng 001 (ICML, 2020)

Motion Complementary Network for Efficient Action Recognition. - Ke Cheng 002; Yifan Zhang 001; Chenghua Li; Jian Cheng 001; Hanqing Lu (ICPR, 2020)

PEAN: 3D Hand Pose Estimation Adversarial Network. - Linhui Sun; Yifan Zhang 001; Jian Cheng 001; Hanqing Lu (ICPR, 2020)

Soft Threshold Ternary Networks. - Weixiang Xu; Xiangyu He; Tianli Zhao; Qinghao Hu 001; Peisong Wang; Jian Cheng 001 (IJCAI, 2020)

ATF: Towards Robust Face Alignment via Leveraging Similarity and Diversity across Different Datasets. - Xing Lan; Qinghao Hu 001; Fangzhou Xiong; Cong Leng; Jian Cheng 001 (ACM Multimedia, 2020)

Revisiting Parameter Sharing for Automatic Neural Channel Number Search. - Jiaxing Wang; Haoli Bai; Jiaxiang Wu 001; Xupeng Shi; Junzhou Huang; Irwin King; Michael R. Lyu; Jian Cheng 001 (NeurIPS, 2020)

A Hardware Descriptive Approach to Beetle Antennae Search. - Zongcheng Yue; Gang Li 001; Xiangyuan Jiang; Shuai Li 002; Jian Cheng 001; Peng Ren 001 (IEEE Access, 2020)

From Anchor Generation to Distribution Alignment: Learning a Discriminative Embedding Space for Zero-Shot Recognition. - Fuzhen Li; Zhenfeng Zhu; Xingxing Zhang 001; Jian Cheng 001; Yao Zhao 001 (CoRR, 2020)

SC4D: A Sparse 4D Convolutional Network for Skeleton-Based Action Recognition. - Lei Shi 018; Yifan Zhang 001; Jian Cheng 001; Hanqing Lu (CoRR, 2020)

Decoupled Spatial-Temporal Attention Network for Skeleton-Based Action Recognition. - Lei Shi 018; Yifan Zhang 001; Jian Cheng 001; Hanqing Lu (CoRR, 2020)

Taking Modality-free Human Identification as Zero-shot Learning. - Zhizhe Liu; Xingxing Zhang 001; Zhenfeng Zhu; Shuai Zheng 005; Yao Zhao 001; Jian Cheng 001 (CoRR, 2020)

Convolutional prototype learning for zero-shot recognition. - Zhizhe Liu; Xingxing Zhang 001; Zhenfeng Zhu; Shuai Zheng 005; Yao Zhao 001; Jian Cheng 001 (Image Vis. Comput., 2020)

Bayesian Automatic Model Compression. - Jiaxing Wang; Haoli Bai; Jiaxiang Wu 001; Jian Cheng 001 (IEEE J. Sel. Top. Signal Process., 2020)

Cross-modality paired-images generation and augmentation for RGB-infrared person re-identification. - Guan'an Wang; Yang Yang 062; Tianzhu Zhang 001; Jian Cheng 001; Zengguang Hou; Prayag Tiwari; Hari Mohan Pandey (Neural Networks, 2020)

Robust one-stage object detection with location-aware classifiers. - Qiang Chen 007; Peisong Wang; Anda Cheng; Wanguo Wang; Yifan Zhang 001; Jian Cheng 001 (Pattern Recognit., 2020)

Gesture recognition based on deep deformable 3D convolutional neural networks. - Yifan Zhang 001; Lei Shi 018; Yi Wu 001; Ke Cheng 002; Jian Cheng 001; Hanqing Lu (Pattern Recognit., 2020)

FSA: A Fine-Grained Systolic Accelerator for Sparse CNNs. - Fanrong Li; Gang Li 015; Zitao Mo; Xiangyu He; Jian Cheng 001 (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2020)

Few-Shot Visual Classification Using Image Pairs With Binary Transformation. - Chunjie Zhang; Chenghua Li; Jian Cheng 001 (IEEE Trans. Circuits Syst. Video Technol., 2020)

A Quantum-Inspired Similarity Measure for the Analysis of Complete Weighted Graphs. - Lu Bai 001; Luca Rossi 004; Lixin Cui; Jian Cheng 001; Edwin R. Hancock (IEEE Trans. Cybern., 2020)

Multiview Semantic Representation for Visual Recognition. - Chunjie Zhang; Jian Cheng 001; Qi Tian 001 (IEEE Trans. Cybern., 2020)

Skeleton-Based Action Recognition With Multi-Stream Adaptive Graph Convolutional Networks. - Lei Shi 018; Yifan Zhang 001; Jian Cheng 001; Hanqing Lu (IEEE Trans. Image Process., 2020)

Multi-View Image Classification With Visual, Semantic and View Consistency. - Chunjie Zhang; Jian Cheng 001; Qi Tian 001 (IEEE Trans. Image Process., 2020)

EBERT: Efficient BERT Inference with Dynamic Structured Pruning. - Zejian Liu; Fanrong Li; Gang Li 015; Jian Cheng 001 (ACL/IJCNLP (Findings), 2021)

Weakly Supervised Salient Object Detection with Box Annotation. - Zhentao Jiang; Qiang Chen 007; Bo Jiang 002; Cong Leng; Jian Cheng 001 (ACPR (1), 2021)

You Only Look One-Level Feature. - Qiang Chen 007; Yingming Wang; Tong Yang 005; Xiangyu Zhang 005; Jian Cheng 001; Jian Sun 001 (CVPR, 2021)

Generative Zero-Shot Network Quantization. - Xiangyu He; Jiahao Lu; Weixiang Xu; Qinghao Hu 001; Peisong Wang; Jian Cheng 001 (CVPR Workshops, 2021)

LTNet: Light Transfer Network for Depth Guided Image Relighting. - Yu Zhu 004; Bosong Ding; Chenghua Li; Wanli Qian; Fangya Li; Yiheng Yao; Ruipeng Gang; Chunjie Zhang; Jian Cheng 001 (CVPR Workshops, 2021)

Hardware Acceleration of Fully Quantized BERT for Efficient Natural Language Processing. - Zejian Liu; Gang Li 015; Jian Cheng 001 (DATE, 2021)

AdaSGN: Adapting Joint Number and Model Size for Efficient Skeleton-Based Action Recognition. - Lei Shi 018; Yifan Zhang 001; Jian Cheng 001; Hanqing Lu (ICCV, 2021)

Towards Mixed-Precision Quantization of Neural Networks via Constrained Optimization. - Weihan Chen; Peisong Wang; Jian Cheng 001 (ICCV, 2021)

Dynamic Dual Gating Neural Networks. - Fanrong Li; Gang Li 015; Xiangyu He; Jian Cheng 001 (ICCV, 2021)

Revisting Quantization Error in Face Alignment. - Xing Lan; Qinghao Hu 001; Jian Cheng 001 (ICCVW, 2021)

Towards Binarized MobileNet via Structured Sparsity. - Zhenmeng Zuo; Zhexin Li; Peisong Wang; Weihan Chen; Jian Cheng 001 (ICIG (1), 2021)

Generative Zero-shot Network Quantization. - Xiangyu He; Qinghao Hu 001; Peisong Wang; Jian Cheng 001 (CoRR, 2021)

HIH: Towards More Accurate Face Alignment via Heatmap in Heatmap. - Xing Lan; Qinghao Hu 001; Jian Cheng 001 (CoRR, 2021)

Block Convolution: Towards Memory-Efficient Inference of Large-Scale CNNs on FPGA. - Gang Li 015; Zejian Liu; Fanrong Li; Jian Cheng 001 (CoRR, 2021)

Architecture Aware Latency Constrained Sparse Neural Networks. - Tianli Zhao; Qinghao Hu 001; Xiangyu He; Weixiang Xu; Jiaxing Wang; Cong Leng; Jian Cheng 001 (CoRR, 2021)

Improving Binary Neural Networks through Fully Utilizing Latent Weights. - Weixiang Xu; Qiang Chen 007; Xiangyu He; Peisong Wang; Jian Cheng 001 (CoRR, 2021)

Joint Channel and Weight Pruning for Model Acceleration on Moblie Devices. - Tianli Zhao; Xi Sheryl Zhang; Wentao Zhu; Jiaxing Wang; Ji Liu; Jian Cheng 001 (CoRR, 2021)

3D-CenterNet: 3D object detection network for point clouds with center estimation priority. - Qi Wang 056; Jian Cheng 001; Jianqiang Deng; Xinfang Zhang (Pattern Recognit., 2021)

SpatialFlow: Bridging All Tasks for Panoptic Segmentation. - Qiang Chen 007; Anda Cheng; Xiangyu He; Peisong Wang; Jian Cheng 001 (IEEE Trans. Circuits Syst. Video Technol., 2021)

Decoupled Two-Stage Crowd Counting and Beyond. - Jian Cheng 001; Haipeng Xiong; Zhiguo Cao 001; Hao Lu 003 (IEEE Trans. Image Process., 2021)

Extremely Lightweight Skeleton-Based Action Recognition With ShiftGCN++. - Ke Cheng 002; Yifan Zhang 001; Xiangyu He; Jian Cheng 001; Hanqing Lu (IEEE Trans. Image Process., 2021)

Unsupervised Network Quantization via Fixed-Point Factorization. - Peisong Wang; Xiangyu He; Qiang Chen 007; Anda Cheng; Qingshan Liu 001; Jian Cheng 001 (IEEE Trans. Neural Networks Learn. Syst., 2021)

DPNAS: Neural Architecture Search for Deep Learning with Differential Privacy. - Anda Cheng; Jiaxing Wang; Xi Sheryl Zhang; Qiang Chen 007; Peisong Wang; Jian Cheng 001 (AAAI, 2022)

Towards Fully Sparse Training: Information Restoration with Spatial Similarity. - Weixiang Xu; Xiangyu He; Ke Cheng 002; Peisong Wang; Jian Cheng 001 (AAAI, 2022)

MixFormer: Mixing Features across Windows and Dimensions. - Qiang Chen 007; Qiman Wu; Jian Wang 066; Qinghao Hu 001; Tao Hu; Errui Ding; Jian Cheng 001; Jingdong Wang 001 (CVPR, 2022)

Differentially Private Federated Learning with Local Regularization and Sparsification. - Anda Cheng; Peisong Wang; Xi Sheryl Zhang; Jian Cheng 001 (CVPR, 2022)

APRIL: Finding the Achilles' Heel on Privacy for Vision Transformers. - Jiahao Lu; Xi Sheryl Zhang; Tianli Zhao; Xiangyu He; Jian Cheng 001 (CVPR, 2022)

Reversed Image Signal Processing and RAW Reconstruction. AIM 2022 Challenge Report. - Marcos V. Conde; Radu Timofte; Yibin Huang; Jingyang Peng; Chang Chen; Cheng Li 009; Eduardo Pérez-Pellitero; Fenglong Song; Furui Bai; Shuai Liu 009; Chaoyu Feng; Xiaotao Wang; et al. (ECCV Workshops (3), 2022)

RISPNet: A Network for Reversed Image Signal Processing. - Xiaoyi Dong; Yu Zhu 004; Chenghua Li; Peisong Wang; Jian Cheng 001 (ECCV Workshops (2), 2022)

PalQuant: Accelerating High-Precision Networks on Low-Precision Accelerators. - Qinghao Hu 001; Gang Li 015; Qiman Wu; Jian Cheng 001 (ECCV (11), 2022)

AIM 2022 Challenge on Instagram Filter Removal: Methods and Results. - Furkan Kinli; Sami Mentes; Baris Özcan; Furkan Kiraç; Radu Timofte; Yi Zuo; Zitao Wang; Xiaowen Zhang; Yu Zhu 004; Chenghua Li; Cong Leng; Jian Cheng 001; et al. (ECCV Workshops (3), 2022)

CIDBNet: A Consecutively-Interactive Dual-Branch Network for JPEG Compressed Image Super-Resolution. - Xiaoran Qin; Yu Zhu 004; Chenghua Li; Peisong Wang; Jian Cheng 001 (ECCV Workshops (2), 2022)

MENet: A Memory-Based Network with Dual-Branch for Efficient Event Stream Processing. - Linhui Sun; Yifan Zhang 001; Ke Cheng 002; Jian Cheng 001; Hanqing Lu (ECCV (24), 2022)

AIM 2022 Challenge on Super-Resolution of Compressed Image and Video: Dataset, Methods and Results. - Ren Yang; Radu Timofte; Xin Li 106; Qi Zhang 029; Lin Zhang 013; Fanglong Liu; Dongliang He; Fu Li 003; He Zheng; Weihang Yuan; Pavel Ostyakov; Dmitry Vyal; et al. (ECCV Workshops (3), 2022)

Multi-granularity Pruning for Model Acceleration on Mobile Devices. - Tianli Zhao; Xi Sheryl Zhang; Wentao Zhu; Jiaxing Wang; Sen Yang; Ji Liu; Jian Cheng 001 (ECCV (11), 2022)

Stacking More Linear Operations with Orthogonal Regularization to Learn Better. - Weixiang Xu; Jian Cheng 001 (ICIP, 2022)

Ristretto: An Atomized Processing Architecture for Sparsity-Condensed Stream Flow in CNN. - Gang Li 015; Weixiang Xu; Zhuoran Song; Naifeng Jing; Jian Cheng 001; Xiaoyao Liang (MICRO, 2022)

PKD: General Distillation Framework for Object Detectors via Pearson Correlation Coefficient. - Weihan Cao; Yifan Zhang 001; Jianfei Gao 003; Anda Cheng; Ke Cheng 002; Jian Cheng 001 (NeurIPS, 2022)

Singular Value Fine-tuning: Few-shot Segmentation requires Few-parameters Fine-tuning. - Yanpeng Sun; Qiang Chen 007; Xiangyu He; Jian Wang 066; Haocheng Feng; Junyu Han; Errui Ding; Jian Cheng 001; Zechao Li; Jingdong Wang 001 (NeurIPS, 2022)

GLIF: A Unified Gated Leaky Integrate-and-Fire Neuron for Spiking Neural Networks. - Xingting Yao; Fanrong Li; Zitao Mo; Jian Cheng 001 (NeurIPS, 2022)

Q-ViT: Fully Differentiable Quantization for Vision Transformer. - Zhexin Li; Tong Yang 005; Peisong Wang; Jian Cheng 001 (CoRR, 2022)

Revisiting L1 Loss in Super-Resolution: A Probabilistic View and Beyond. - Xiangyu He; Jian Cheng 001 (CoRR, 2022)

AIM 2022 Challenge on Super-Resolution of Compressed Image and Video: Dataset, Methods and Results. - Ren Yang; Radu Timofte; Xin Li 106; Qi Zhang 029; Lin Zhang 013; Fanglong Liu; Dongliang He; Fu Li 003; He Zheng; Weihang Yuan; Pavel Ostyakov; Dmitry Vyal; et al. (CoRR, 2022)

DATE: Dual Assignment for End-to-End Fully Convolutional Object Detection. - Yiqun Chen; Qiang Chen 007; Qinghao Hu 001; Jian Cheng 001 (CoRR, 2022)

Action recognition via pose-based graph convolutional networks with intermediate dense supervision. - Lei Shi 018; Yifan Zhang 001; Jian Cheng 001; Hanqing Lu (Pattern Recognit., 2022)

Block Convolution: Toward Memory-Efficient Inference of Large-Scale CNNs on FPGA. - Gang Li 015; Zejian Liu; Fanrong Li; Jian Cheng 001 (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022)

MFHI: Taking Modality-Free Human Identification as Zero-Shot Learning. - Zhizhe Liu; Xingxing Zhang 001; Zhenfeng Zhu; Shuai Zheng 005; Yao Zhao 001; Jian Cheng 001 (IEEE Trans. Circuits Syst. Video Technol., 2022)

Adversarial Binary Mutual Learning for Semi-Supervised Deep Hashing. - Guan'an Wang; Qinghao Hu 001; Yang Yang 062; Jian Cheng 001; Zeng-Guang Hou (IEEE Trans. Neural Networks Learn. Syst., 2022)

Asynchronous Event Processing with Local-Shift Graph Convolutional Network. - Linhui Sun; Yifan Zhang 001; Jian Cheng 001; Hanqing Lu (AAAI, 2023)

TinyNeRF: Towards 100 x Compression of Voxel Radiance Fields. - Tianli Zhao; Jiayuan Chen 003; Cong Leng; Jian Cheng 001 (AAAI, 2023)

TBERT: Dynamic BERT Inference with Top-k Based Predictors. - Zejian Liu; Kun Zhao; Jian Cheng 001 (DATE, 2023)

On the Data-Efficiency with Contrastive Image Transformation in Reinforcement Learning. - Sicong Liu; Xi Sheryl Zhang; Yushuo Li; Yifan Zhang 001; Jian Cheng 001 (ICLR, 2023)

$ rm A^2Q$: Aggregation-Aware Quantization for Graph Neural Networks. - Zeyu Zhu; Fanrong Li; Zitao Mo; Qinghao Hu 001; Gang Li 015; Zejian Liu; Xiaoyao Liang; Jian Cheng 001 (ICLR, 2023)

MCUNeRF: Packing NeRF into an MCU with 1MB Memory. - Zhixiang Ye; Qinghao Hu 001; Tianli Zhao; Wangping Zhou; Jian Cheng 001 (ACM Multimedia, 2023)

Towards Efficient and Accurate Winograd Convolution via Full Quantization. - Tianqi Chen; Weixiang Xu; Weihan Chen; Peisong Wang; Jian Cheng 001 (NeurIPS, 2023)

Automatic Grouping for Efficient Cooperative Multi-Agent Reinforcement Learning. - Yifan Zang 001; Jinmin He; Kai Li 022; Haobo Fu; Qiang Fu 016; Junliang Xing; Jian Cheng 001 (NeurIPS, 2023)

A2Q: Aggregation-Aware Quantization for Graph Neural Networks. - Zeyu Zhu; Fanrong Li; Zitao Mo; Qinghao Hu 001; Gang Li 015; Zejian Liu; Xiaoyao Liang; Jian Cheng 001 (CoRR, 2023)

HPN: Personalized Federated Hyperparameter Optimization. - Anda Cheng; Zhen Wang 036; Yaliang Li; Jian Cheng 001 (CoRR, 2023)

Enhancing Your Trained DETRs with Box Refinement. - Yiqun Chen; Qiang Chen 007; Peize Sun; Shoufa Chen; Jingdong Wang 001; Jian Cheng 001 (CoRR, 2023)

Spiking NeRF: Making Bio-inspired Neural Networks See through the Real World. - Xingting Yao; Qinghao Hu 001; Tielong Liu; Zitao Mo; Zeyu Zhu; Zhengyang Zhuge; Jian Cheng 001 (CoRR, 2023)

Not All Tasks Are Equally Difficult: Multi-Task Reinforcement Learning with Dynamic Depth Routing. - Jinmin He; Kai Li 022; Yifan Zang 001; Haobo Fu; Qiang Fu 016; Junliang Xing; Jian Cheng 001 (CoRR, 2023)

Optimization-Based Post-Training Quantization With Bit-Split and Stitching. - Peisong Wang; Weihan Chen; Xiangyu He; Qiang Chen 007; Qingshan Liu 001; Jian Cheng 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

A Novel Ranging and IMU-Based Method for Relative Positioning of Two-MAV Formation in GNSS-Denied Environments. - Jian Cheng 001; Peng Ren 001; Tingxiang Deng (Sensors, 2023)

S&GDA: An Unsupervised Domain Adaptive Semantic Segmentation Framework Considering Both Imaging Scene and Geometric Domain Shifts. - Hui Chen; Liang Cheng 003; Ning Li 033; Yunchang Yao; Jian Cheng 001; Ka Zhang (IEEE Trans. Geosci. Remote. Sens., 2023)

ATF: An Alternating Training Framework for Weakly Supervised Face Alignment. - Xing Lan; Qinghao Hu 001; Jian Cheng 001 (IEEE Trans. Multim., 2023)

ECBC: Efficient Convolution via Blocked Columnizing. - Tianli Zhao; Qinghao Hu 001; Xiangyu He; Weixiang Xu; Jiaxing Wang; Cong Leng; Jian Cheng 001 (IEEE Trans. Neural Networks Learn. Syst., 2023)

SCCNet: Self-correction boundary preservation with a dynamic class prior filter for high-variability ultrasound image segmentation. - Yuxin Gong; Haogang Zhu; Jixing Li; Jingchun Yang; Jian Cheng 001; Ying Chang; Xiao Bai 001; Xunming Ji (Comput. Medical Imaging Graph., 2023)

FSPN: End-to-end full-space pooling weakly supervised network for benthic habitat mapping using remote sensing images. - Hui Chen; Sensen Chu; Qizhi Zhuang; Zhixin Duan; Jian Cheng 001; Jizhe Li; Li Ye; Jun Yu; Liang Cheng 003 (Int. J. Appl. Earth Obs. Geoinformation, 2023)

Improving Extreme Low-Bit Quantization With Soft Threshold. - Weixiang Xu; Fanrong Li; Yingying Jiang 001; Yong A; Xiangyu He; Peisong Wang; Jian Cheng 001 (IEEE Trans. Circuits Syst. Video Technol., 2023)

Efficient Accelerator/Network Co-Search With Circular Greedy Reinforcement Learning. - Zejian Liu; Gang Li 015; Jian Cheng 001 (IEEE Trans. Circuits Syst. II Express Briefs, 2023)

Towards Automatic Model Compression via a Unified Two-Stage Framework. - Weihan Chen; Peisong Wang; Jian Cheng 001 (Pattern Recognit., 2023)

GPENs: Graph Data Learning With Graph Propagation-Embedding Networks. - Bo Jiang 002; Leiling Wang; Jian Cheng 001; Jin Tang 001; Bin Luo 001 (IEEE Trans. Neural Networks Learn. Syst., 2023)

Extremely Sparse Networks via Binary Augmented Pruning for Fast Image Classification. - Peisong Wang; Fanrong Li; Gang Li 015; Jian Cheng 001 (IEEE Trans. Neural Networks Learn. Syst., 2023)

A Comprehensive Evaluation of Machine Learning and Classical Approaches for Spaceborne Active-Passive Fusion Bathymetry of Coral Reefs. - Jian Cheng 001; Liang Cheng 003; Sensen Chu; Jizhe Li; Qixin Hu; Li Ye; Zhiyong Wang; Hui Chen (ISPRS Int. J. Geo Inf., 2023)

Not All Tasks Are Equally Difficult: Multi-Task Deep Reinforcement Learning with Dynamic Depth Routing. - Jinmin He; Kai Li 022; Yifan Zang 001; Haobo Fu; Qiang Fu 016; Junliang Xing; Jian Cheng 001 (AAAI, 2024)

Intrinsic Action Tendency Consistency for Cooperative Multi-Agent Reinforcement Learning. - Junkai Zhang; Yifan Zhang 001; Xi Sheryl Zhang; Yifan Zang 001; Jian Cheng 001 (AAAI, 2024)

Patch-Aware Sample Selection for Efficient Masked Image Modeling. - Zhengyang Zhuge; Jiaxing Wang; Yong Li; Yongjun Bao; Peisong Wang; Jian Cheng 001 (AAAI, 2024)

FastGL: A GPU-Efficient Framework for Accelerating Sampling-Based GNN Training at Large Scale. - Zeyu Zhu; Peisong Wang; Qinghao Hu 001; Gang Li 015; Xiaoyao Liang; Jian Cheng 001 (ASPLOS (4), 2024)

MEGA: A Memory-Efficient GNN Accelerator Exploiting Degree-Aware Mixed-Precision Quantization. - Zeyu Zhu; Fanrong Li; Gang Li 015; Zejian Liu; Zitao Mo; Qinghao Hu 001; Xiaoyao Liang; Jian Cheng 001 (HPCA, 2024)

Towards Offline Opponent Modeling with In-context Learning. - Yuheng Jing; Kai Li 022; Bingyun Liu; Yifan Zang 001; Haobo Fu; Qiang Fu 016; Junliang Xing; Jian Cheng 001 (ICLR, 2024)

Dynamic Discounted Counterfactual Regret Minimization. - Hang Xu 006; Kai Li 022; Haobo Fu; Qiang Fu 016; Junliang Xing; Jian Cheng 001 (ICLR, 2024)

Towards Efficient Spiking Transformer: a Token Sparsification Framework for Training and Inference Acceleration. - Zhengyang Zhuge; Peisong Wang; Xingting Yao; Jian Cheng 001 (ICML, 2024)

Minimizing Weighted Counterfactual Regret with Optimistic Online Mirror Descent. - Hang Xu 006; Kai Li 022; Bingyun Liu; Haobo Fu; Qiang Fu 016; Junliang Xing; Jian Cheng 001 (IJCAI, 2024)

Simultaneous Q-Space Sampling Optimization and Reconstruction for Fast and High-Fidelity Diffusion Magnetic Resonance Imaging. - Jing Yang; Jian Cheng 001; Cheng Li 008; Wenxin Fan; Juan Zou; Ruoyou Wu; Qiegen Liu; Hairong Zheng; Shanshan Wang 002 (ISBI, 2024)

AID-DTI: Accelerating High-Fidelity Diffusion Tensor Imaging with Detail-Preserving Model-Based Deep Learning. - Wenxin Fan; Jian Cheng 001; Cheng Li 008; Jing Yang; Ruoyou Wu; Juan Zou; Shanshan Wang 002 (CDMRI@MICCAI, 2024)

RobNODDI: Robust NODDI Parameter Estimation with Adaptive Sampling Under Continuous Representation. - Taohui Xiao; Jian Cheng 001; Wenxin Fan; Jing Yang; Cheng Li 008; Enqing Dong; Shanshan Wang 002 (CDMRI@MICCAI, 2024)

CSR-dMRI: Continuous Super-Resolution of Diffusion MRI with Anatomical Structure-Assisted Implicit Neural Representation Learning. - Ruoyou Wu; Jian Cheng 001; Cheng Li 008; Juan Zou; Jing Yang; Wenxin Fan; Yong Liang; Shanshan Wang 002 (MLMI@MICCAI (1), 2024)

Efficient Multi-task Reinforcement Learning with Cross-Task Policy Guidance. - Jinmin He; Kai Li 022; Yifan Zang 001; Haobo Fu; Qiang Fu 016; Junliang Xing; Jian Cheng 001 (NeurIPS, 2024)

Opponent Modeling with In-context Search. - Yuheng Jing; Bingyun Liu; Kai Li 022; Yifan Zang 001; Haobo Fu; Qiang Fu 016; Junliang Xing; Jian Cheng 001 (NeurIPS, 2024)

GraphLeak: Patient Record Leakage through Gradients with Knowledge Graph. - Xi Sheryl Zhang; Weifan Guan; Jiahao Lu; Zhaopeng Qiu; Jian Cheng 001; Xian Wu 001; Yefeng Zheng 001 (WWW, 2024)

Satellite remote sensing and bathymetry co-driven deep neural network for coral reef shallow water benthic habitat classification. - Hui Chen; Jian Cheng 001; Xiaoguang Ruan; Jizhe Li; Li Ye; Sensen Chu; Liang Cheng 003; Ka Zhang (Int. J. Appl. Earth Obs. Geoinformation, 2024)

Land-sea classification based on the fast feature detection model for ICESat-2 ATL03 datasets. - Jizhe Li; Sensen Chu; Qixin Hu; Yu Cong; Jian Cheng 001; Hui Chen; Liang Cheng 003; Guoping Zhang; Shuai Xing (Int. J. Appl. Earth Obs. Geoinformation, 2024)

Simultaneous q-Space Sampling Optimization and Reconstruction for Fast and High-fidelity Diffusion Magnetic Resonance Imaging. - Jing Yang; Jian Cheng 001; Cheng Li 008; Wenxin Fan; Juan Zou; Ruoyou Wu; Shanshan Wang 002 (CoRR, 2024)

AID-DTI: Accelerating High-fidelity Diffusion Tensor Imaging with Detail-Preserving Model-based Deep Learning. - Wenxin Fan; Jian Cheng 001; Cheng Li 008; Xinrui Ma; Jing Yang; Juan Zou; Ruoyou Wu; Qiegen Liu; Shanshan Wang 002 (CoRR, 2024)

DeepMpMRI: Tensor-decomposition Regularized Learning for Fast and High-Fidelity Multi-Parametric Microstructural MR Imaging. - Wenxin Fan; Jian Cheng 001; Cheng Li 008; Xinrui Ma; Jing Yang; Juan Zou; Ruoyou Wu; Zan Chen; Yuanjing Feng; Hairong Zheng; Shanshan Wang 002 (CoRR, 2024)

TernaryLLM: Ternarized Large Language Model. - Tianqi Chen; Zhe Li; Weixiang Xu; Zeyu Zhu; Dong Li 025; Lu Tian; Emad Barsoum; Peisong Wang; Jian Cheng 001 (CoRR, 2024)

Technique Report of CVPR 2024 PBDL Challenges. - Ying Fu 001; Yu Li 003; Shaodi You; Boxin Shi; Jose Alvarez; Coert Van Gemeren; Linwei Chen; Yunhao Zou; Zichun Wang; Yichen Li; Yuze Han; Yingkai Zhang; et al. (CoRR, 2024)

SamRobNODDI: Q-Space Sampling-Augmented Continuous Representation Learning for Robust and Generalized NODDI. - Taohui Xiao; Jian Cheng 001; Wenxin Fan; Enqing Dong; Hairong Zheng; Shanshan Wang 002 (CoRR, 2024)

Diff5T: Benchmarking Human Brain Diffusion MRI with an Extensive 5.0 Tesla K-Space and Spatial Dataset. - Shanshan Wang 002; Shoujun Yu; Jian Cheng 001; Sen Jia 005; Changjun Tie; Jia Zhu 003; Haohao Peng; Yijing Dong; Jianzhong He; Fan Zhang 093; Yaowen Xing; Xiuqin Jia; et al. (CoRR, 2024)

Automatic labelling framework for optical remote sensing object detection samples in a wide area using deep learning. - Ning Li 033; Liang Cheng 003; Lei Wang; Hui Chen; Yalu Zhang; Yunchang Yao; Jian Cheng 001; Manchun Li (Expert Syst. Appl., 2024)

Late better than early: A decision-level information fusion approach for RGB-Thermal crowd counting with illumination awareness. - Jian Cheng 001; Chen Feng 002; Yang Xiao 007; Zhiguo Cao 001 (Neurocomputing, 2024)

Advance One-Shot Multispectral Instance Detection With Text's Supervision. - Chen Feng 002; Jian Cheng 001; Yang Xiao 007; Zhiguo Cao 001 (IEEE Signal Process. Lett., 2024)

Toward Accurate Binarized Neural Networks With Sparsity for Mobile Application. - Peisong Wang; Xiangyu He; Jian Cheng 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Graph meets probabilistic generation model: A new perspective for graph disentanglement. - Zouzhang Peng; Shuai Zheng 005; Zhenfeng Zhu; Zhizhe Liu; Jian Cheng 001; Honghui Dong; Yao Zhao 001 (Pattern Recognit., 2024)

Adversarial Graph Disentanglement With Component-Specific Aggregation. - Shuai Zheng 005; Zhenfeng Zhu; Zhizhe Liu; Jian Cheng 001; Yao Zhao 001 (IEEE Trans. Artif. Intell., 2024)

An Open-Ended Learning Framework for Opponent Modeling. - Yuheng Jing; Kai Li 022; Bingyun Liu; Haobo Fu; Qiang Fu 016; Junliang Xing; Jian Cheng 001 (AAAI, 2025)

Q-Mamba: Towards more efficient Mamba models via post-training quantization. - Tianqi Chen; Yuanteng Chen; Peisong Wang; Weixiang Xu; Zeyu Zhu; Jian Cheng 001 (ACL (Findings), 2025)

EAC-MoE: Expert-Selection Aware Compressor for Mixture-of-Experts Large Language Models. - Yuanteng Chen; Yuantian Shao; Peisong Wang; Jian Cheng 001 (ACL (1), 2025)

RQT: Hierarchical Residual Quantization for Multi-Model Compression. - Tianqi Chen; Peisong Wang; Weixiang Xu; Zeyu Zhu; Jian Cheng 001 (ACL (Findings), 2025)

Exploring Contextual Attribute Density in Referring Expression Counting. - Zhicheng Wang 002; Zhiyu Pan; Zhan Peng; Jian Cheng 001; Liwen Xiao; Wei Jiang; Zhiguo Cao 001 (CVPR, 2025)

SBQ: Exploiting Significant Bits for Efficient and Accurate Post-Training DNN Quantization. - Jiayao Ling; Gang Li 015; Qinghao Hu 001; Xiaolong Lin; Cheng Gu; Jian Cheng 001; Xiaoyao Liang (DATE, 2025)

Light-DiT: An Importance-Aware Dynamic Compression Framework for Diffusion Transformers. - Cheng Gu; Gang Li 015; Xuan Zhang 001; Jiayao Ling; Xiaolong Lin; Zhuoran Song; Jian Cheng 001; Xiaoyao Liang (Euro-Par (2), 2025)

3D Anatomical Structure-Guided Deep Learning for Accurate Diffusion Microstructure Imaging. - Xinrui Ma; Jian Cheng 001; Wenxin Fan; Ruoyou Wu; Yongquan Ye; Shanshan Wang 002 (ISBI, 2025)

Guest Editorial: Multi-view representation learning for computer vision. - Xin Ning 001; Jun Zhou 001; Jian Cheng 001; Jing Wu 004; Chen Wang 026; Lin Gu 003 (IET Comput. Vis., 2025)

Advancing Shallow Water Bathymetry Estimation in Coral Reef Areas via Stacking Ensemble Machine Learning Approach. - Jian Cheng 001; Sensen Chu; Liang Cheng 003 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025)

Maximum Entropy Reinforcement Learning with Diffusion Policy. - Xiaoyi Dong; Jian Cheng 001; Xi Sheryl Zhang (CoRR, 2025)

Synergizing Reinforcement Learning and Genetic Algorithms for Neural Combinatorial Optimization. - Shengda Gu; Kai Li 022; Junliang Xing; Yifan Zhang 001; Jian Cheng 001 (CoRR, 2025)

Towards Efficient and Accurate Spiking Neural Networks via Adaptive Bit Allocation. - Xingting Yao; Qinghao Hu 001; Fei Zhou; Tielong Liu; Gang Li 015; Peisong Wang; Jian Cheng 001 (CoRR, 2025)

Goal-Oriented Skill Abstraction for Offline Multi-Task Reinforcement Learning. - Jinmin He; Kai Li 022; Yifan Zang 001; Haobo Fu; Qiang Fu 016; Junliang Xing; Jian Cheng 001 (CoRR, 2025)

GCC: A 3DGS Inference Architecture with Gaussian-Wise and Cross-Stage Conditional Processing. - Minnan Pei; Gang Li 015; Junwen Si; Zeyu Zhu; Zitao Mo; Peisong Wang; Zhuoran Song; Xiaoyao Liang; Jian Cheng 001 (CoRR, 2025)

Dual Assignment of labels for end-to-end fully convolutional object detection. - Yiqun Chen; Qiang Chen 007; Qinghao Hu 001; Jian Cheng 001 (Pattern Recognit., 2026)