Dr. Jian Cheng is a professor of Institute of Automation, Chinese Academy of Sciences. He received the B.S. and M.S. degrees in Mathematics from Wuhan University in 1998 and 2001, respectively. After that, he got Ph.D degree in pattern recognition and intelligent systems from Institute of Automation in 2004, Chinese Academy of Sciences. His current major research interests include deep learning, computer vision, AI chip design, etc. He have authored or co-authored more than 100 academic papers published on top journals or conferences, such as IEEE TPAMI/TIP/TNNLS/TCAD/TMM, JMLR, NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, AAAI, HPCA, MICRO, DATE. He has been awarded LU JIAXI Young Talent award from Chinese Academy of Sciences, the first class prize of Natural Sciences from Chinese Institute of Electronics.


Email: jcheng@nlpr.ia.ac.cn

Home page:https://clab.ia.ac.cn/

Address: Zhongguancun East Road No.95, Haidian District, Beijing, China


Research Areas

  • Efficient Intelligent Computing: Model Compression, Big Model, AutoML
  •  Image and Video Analysis: Classification, Detection, Recognition
  • AI Chip Design: NN Accelerator, Low-power embedded AI system

Publications

Selected Articles:

2024

  • Peisong Wang, Xiangyu He, Jian Cheng. Toward Accurate Binarized Neural Networks with Sparsity for Mobile Application. IEEE Transactions on Neural Networks and Learning Systems (TNNLS), vol.35, No.1, pp.272-284,2024. 

  • Zeyu Zhu, Peisong Wang, Qinghao Hu, Gang Li, Xiaoyao Liang, Jian Cheng. FastGL: A GPU-Efficient Framework for Accelerating Sampling-based GNN Training at Large Scale. ACM ASPLOS 2024.

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

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

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

  • Zhengyang Zhuge, Jiaxing Wang, Yong Li, Yongjun Bao, Peisong Wang, Jian Cheng. Patch-Aware Sample Selection for Efficient Masked Image Modeling. AAAI 2024.
  • Hang Xu, Kai Li, Haobo Fu, Qiang Fu, Junliang Xing, Jian Cheng. Dynamic Discounted Counterfactual Regret Minimization. ICLR 2024, Spotlight (Top 5%).
  • Yuheng Jing, Kai Li, Bingyun Liu, Yifan Zang, Haobo Fu, Qiang Fu, Junliang Xing, Jian Cheng. Towards Offline Opponent Modeling with In-context Learning. ICLR 2024

  • Hang Xu, Kai Li, Bingyun Liu, Haobo Fu, Qiang Fu, Junliang Xing, Jian Cheng. PDCFR+: Minimizing Weighted Counterfactual Regret with Optimistic Online Mirror Descent. IJCAI 2024.

  • Yang Wu, Yifan Zhang, Zhenxing Liang, Jian Cheng. HGCN2SP: Hierarchical Graph Convolutional Network for Two-Stage Stochastic Programming. ICML 2024

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

2023

  • Tianli Zhao, Qinghao Hu, Xiangyu He, Weixiang Xu, Jiaxing Wang, Cong Leng, Jian Cheng. ECBC: Efficient Convolution via Blocked ColumnizingIEEE Transactions on Neural Networks and Learning Systems (TNNLS), Vol.34, No.1, pp.433-445, 2023.

  • Peisong Wang, Fanrong Li, Gang Li, Jian Cheng. Extremely Sparse Networks via Binary Augmented Pruning for Fast Image ClassificationIEEE Transactions on Neural Networks and Learning Systems (TNNLS), Vol.34, No.8, pp.4167-4180, 2023.
  • Zejian Liu, Gang Li, Jian Cheng. Efficient Accelerator/Network Co-Search with Circular Greedy Reinforcement Learning. IEEE Transactions on Circuits and Systems-II: Express Briefs, Vol.70, No.7, pp.2615-2619, 2023.

  • Xing Lan, Qinghao Hu, Jian Cheng. ATF: An Alternating Training Framework for Weakly Supervised Face Alignment. IEEE Transactions on Multimedia, Vol.25, pp.1798-1809, 2023.

  • Weixiang Xu, Fanrong Li, Yingying Jiang, Yong A, Xiangyu He, Peisong Wang, Jian Cheng. Improving Extreme Low-bit Quantization with Soft Threshold. IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), Vol.33, No.4, pp.1549-1563, 2023.
  • Peisong Wang, Weihan Chen, Xiangyu He, Qiang Chen, Qingshan Liu, Jian Cheng. Optimization-based Post-training Quantization with Bit-split and StitchingIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), Vol.45, No.2, pp.2119-2135, 2023.

  • Weihan Chen, Peisong Wang, Jian Cheng. Towards Automatic Model Compression via a Unified Two-Stage Framework. Pattern Recognition (PR), Vol.140, 2023.

  • Zeyu Zhu, Fanrong Li, Zitao Mo, Qinghao Hu, Gang Li, Zejian Liu, Xiaoyao Liang, Jian Cheng. A2Q: Aggregation-Aware Quantization for Graph Neural Networks. ICLR 2023.
  • Sicong Liu, Xi Sheryl Zhang, Yushuo Li, Yifan Zhang, Jian Cheng. On the Data-Efficiency with Contrastive Image Transformation in Reinforcement LearningICLR 2023.

  • Tianli Zhao, Jiayuan Chen, Cong Leng, Jian Cheng. TinyNeRF: Towards 100x Compression of Voxel Radiance FieldsAAAI 2023.
  • Linhui Sun, Yifan Zhang, Jian Cheng, Hanqing Lu. Asynchronous Event Processing with Local-Shift Graph Convolutional NetworksAAAI 2023.

  • Zejian Liu, Gang Li, Jian Cheng. TBERT: Dynamic BERT Inference with Top-k Based Predictors. DATE 2023.

  • Zhixiang Ye, Qinghao Hu, Tianli Zhao, Wangping Zhou, Jian Cheng.  MCUNeRF: Packing NeRF into an MCU with 1MB Memory. ACM MM 2023.

  • Tianqi Chen, Weixiang Xu, Weihan Chen, Peisong Wang, Jian Cheng. Towards Efficient and Accurate Winograd Convolution via Full Quantization. NeurIPS 2023

  • Yifan Zang, Jinmin He, Kai Li, Haobo Fu, Qiang Fu, Junliang Xing, Jian Cheng. Automatic Grouping for Efficient Cooperative Multi-Agent Reinforcement Learning. NeurIPS 2023.

2022

  • Gang Li, Zejian Liu, Fanrong Li, Jian Cheng. Block Convolution: Towards Memory-Efficient Inference of Large-Scale CNNs on FPGAIEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), Vol.41, No.5, pp.1436-1447, 2022.
  • Guanan Wang, Qinghao Hu, Yang Yang, Jian Cheng, Zeng-Guang Hou. Adversarial Binary Mutual Learning for Semi-Supervised Deep HashingIEEE Transactions on Neural Networks and Learning Systems (TNNLS), Vol.33, No.8, pp.4110-4124, 2022.
  • Zhizhe Liu, Xingxing Zhang, Zhenfeng Zhu, Shuai Zheng, Yao Zhao, Jian Cheng. MFHI: Taking Modality-Free Human Identification as Zero-Shot LearningIEEE Transactions on Circuits and Systems for Video Technology (TCSVT)Vol.32, No.8, pp.5225-5237, 2022.

  • Lei Shi, Yifan Zhang, Jian Cheng, Hanqing Lu. Action Recognition via Pose-based Graph Convolutional Networks with Intermediate Dense Supervision. Pattern Recognition, Vol.121, 108170, 2022.

  • Anda Cheng, Peisong Wang, Xi Sheryl Zhang, Jian Cheng. Differentially Private Federated Learning with Local Regularization and SparsificationCVPR 2022.

  • Qiang Chen, Qiman Wu, Jian Wang, Qinghao Hu, Tao Hu, Errui Ding, Jian Cheng, Jingdong Wang. MixFormer: Mixing Features across Windows and Dimensions. CVPR 2022.
  • Jiahao Lu, Xi Sheryl Zhang. Tianli Zhao, Xiangyu He, Jian Cheng. APRIL: Finding the Achilles' Heel on Privacy Leakage for Vision TransformersCVPR 2022.
  • Anda Cheng, Jiaxing Wang, Xi Sheryl Zhang, Qiang Chen, Peisong Wang, Jian Cheng. DPNAS: Neural Architecture Search for Deep Learning with Differential PrivacyAAAI 2022.

  • Weixiang Xu, Xiangyu He, Ke Cheng, Peisong Wang, Jian Cheng. Towards Fully Sparse Training: Information Restoration with Spatial SimilarityAAAI 2022.
  • Linhui Sun, Yifan Zhang, Ke Cheng, Jian Cheng, Hanqing Lu. MENet: a Memory-Based Network with Dual-Branch for Efficient Event Stream Processing. ECCV 2022.
  • Qinghao Hu, Gang Li, Qiman Wu, Jian Cheng. PalQuant: Accelerating High-precision Networks on Low-precision Accelerators. ECCV 2022.
  • Tianli Zhao, Xi Sheryl Zhang, Wentao Zhu, Jiaxing Wang, Sen Yang, Ji Liu, Jian Cheng. Multi-Granularity Pruning for Model Acceleration on Mobile Devices. ECCV 2022.

  • Weihan Cao, Yifan Zhang, Jianfei Gao, Anda Cheng, Ke Cheng, Jian Cheng. PKD: General Distillation Framework for Object Detectors via Pearson Correlation Coefficient. NeurIPS 2022.
  • Yanpeng Sun, Qiang Chen, Xiangyu He, Jian Wang, Haocheng Feng, Junyu Han, Errui Ding, Jian Cheng, Zechao Li, Jingdong Wang. Singular Value Fine-tuning: Few-shot Segmentation requires Few-parameters Fine-tuning. NeurIPS 2022.
  • Xingting Yao, Fanrong Li, Zitao Mo, Jian Cheng. GLIF: A Unified Gated Leaky Integrate-and-Fire Neuron for Spiking Neural Networks. NeurIPS 2022.

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

2021

  • Peisong Wang, Xiangyu He, Qiang Chen, Anda Cheng, Qingshan Liu, Jian Cheng. Unsupervised Network Quantization via Fixed-point FactorizationIEEE Transactions on Neural Networks and Learning Systems (TNNLS), Vol.32, No.6, pp.2706-2720, 2021.
  • Ke Cheng, Yifan Zhang, Xiangyu He, Jian Cheng, Hanqing Lu. Extremely Lightweight Skeleton-Based Action Recognition With ShiftGCN++IEEE Transactions on Image Processing (TIP), Vol.30, pp. 7333-7348, 2021.
  • Qiang Chen, Anda Cheng, Xiangyu He, Peisong wang, Jian Cheng. SpatialFlow: Bridging All Tasks for Panoptic SegmentationIEEE Transactions on Circuits and Systems for Video Technology (TCSVT)Vol.31, No.6, pp.2288-2300, 2021. [code]
  • Fanrong Li, Gang Li, Xiangyu He, Jian Cheng. Dynamic Dual Gating Neural NetworksICCV 2021.
  • Weihan Chen, Peisong Wang, Jian Cheng. Towards Mixed-Precision Quantization of Neural Networks via Constrained OptimizationICCV 2021.
  • Lei Shi, Yifan Zhang, Jian Cheng, Hanqing Lu. AdaSGN: Adapting Joint Number and Model Size for Efficient Skeleton-Based Action RecognitionICCV 2021.
  • Zejian Liu, Fanrong Li, Gang Li, Jian Cheng. EBERT: Efficient BERT Inference with Dynamic Structured PruningFindings of ACL 2021.
  • Zejian Liu, Gang Li, Jian Cheng. Hardware Acceleration of Fully Quantized BERT for Efficient Natural Language ProcessingDATE 2021 (Best paper candidate)
  • Qiang Chen, Yingming Wang, Tong Yang, Xiangyu Zhang, Jian Cheng, Jian Sun. You Only Look One-level FeatureCVPR 2021. [code]

2020

  •  Lei Shi, Yifan Zhang, Jian Cheng, Hanqing Lu. Skeleton-Based Action Recognition With Multi-Stream Adaptive Graph Convolutional NetworksIEEE Transactions on Image Processing (TIP), Vol.29, pp.9532-9545, 2020. (ESI highly cited paper )
  • Fanrong Li, Gang Li, Zitao Mo, Xiangyu He, Jian Cheng. FSA: A Fine-Grained Systolic Accelerator for Sparse CNNSIEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), Vol.39, No.11, pp.3589-3600, 2020.

  • Guanan Wang, Yang Yang, Tianzhu Zhang, Jian Cheng, Zengguang Hou, Prayag Tiwari, Hari Mohan Pandey. Cross-modality Paired-images Generation and Augmentation for RGB-infrared Person Re-identification. Neural Networks, Vol.128, pp.294-304, 2020. (The 2020 best paper award)

  • Jiaxing Wang, Haoli Bai, Jiaxiang Wu, Jian Cheng. Bayesian Automatic Model CompressionIEEE Journal of Selected Topics in Signal Processing, Vol.14, No.4, pp.727-736, 2020.
  • Qiang Chen, Peisong Wang, Anda Cheng, Wanguo Wang, Yifan Zhang, Jian Cheng. Robust One-stage Object Detection with Location-aware Classifiers. Pattern Recognition (PR), Vol.105, September,107334, 2020.
  • Lu Bai, Luca Rossi, Lixin Cui, Jian Cheng, Edwin R.Hancock. A Quantum-Inspired Similarity Measure for the Analysis of Complete Weighted GraphsIEEE Transactions on Cybernetics (ToC), Vol.50, Issue 3, pp. 1264-1277, 2020.
  • Chunjie Zhang, Jian Cheng, Qi Tian. Multi-View Image Classification with Visual, Semantic and View ConsistencyIEEE Transactions on Image Processing (TIP), Vol.29, pp.617-627, 2020.
  • Jiaxing Wang, Haoli Bai, Jiaxiang Wu, Xupeng Shi, Junzhou Huang, Irwin King, Michael Lyu, Jian Cheng. Revisiting Parameter Sharing for Automatic Neural Channel Number SearchNeurIPS 2020.
  • Peisong Wang, Qiang Chen, Xiangyu He, Jian Cheng. Towards Accurate Post-training Network Quantization via Bit-Split and StitchingICML 2020.[code]
  • Xiangyu He, Zitao Mo, Ke Cheng, Weixiang Xu, Qinghao Hu, Peisong Wang, Qingshan Liu, Jian Cheng. ProxyBNN: Learning Binarized Neural Networks via Proxy Matrices. ECCV 2020.
  • Guanan Wang, Shaogang Gong, Jian Cheng, Zengguang Hou. Fast Person Re-IdentificationECCV 2020.
  • Ke Cheng, Yifan Zhang, Congqi Cao, Lei Shi, Jian Cheng, Hanqing Lu. Decoupling GCN with DropGraph Module for Skeleton-Based Action RecognitionECCV 2020. [code]
  • Gang Li, Peisong Wang, Zejian Liu, Cong Leng, Jian Cheng. Hardware Acceleration of CNN with One-Hot Quantization of Weights and Activations. DATE 2020.
  • Jiaxing Wang, Jiaxiang Wu, Haoli Bai, Jian Cheng. M-NAS: Meta Neural Architecture SearchAAAI 2020.
  • Peisong Wang, Xiangyu He, Gang Li, Tianli Zhao, Jian Cheng. Sparsity-Inducing Binarized Neural NetworksAAAI 2020.
  • Guanan Wang, Tianzhu Zhang, Yang Yang, Jian Cheng, Jianlong Chang, Xu Liang, Zengguan Hou. Cross-Modality Paired-Images Generation for RGB-Infrared Person Re-IdentificationAAAI 2020.
  • Shuai Zheng, Zhenfeng Zhu, Xingxing Zhang, Zhizhe Liu, Jian Cheng, Yao Zhao. Distribution-induced Bidirectional Generative Adversarial Network for Graph Representation LearningCVPR 2020.
  • Ke Cheng, Yifan Zhang, Xiangyu He, Weihan Chen, Jian Cheng, Hanqing Lu. Skeleton-based Action Recognition with Shift Graph Convolutional NetworkCVPR 2020. [code]
  • Weixiang Xu, Xiangyu He, Tianli Zhao, Qinghao Hu, Peisong Wang, Jian Cheng. Soft Threshold Ternary Networks. IJCAI 2020.

  • Xing Lan, Qinghao Hu, Fangzhou Xiong, Cong Leng, Jian Cheng. ATF: Towards Robust Face Alignment via Leveraging Similarity and Diversity across Different Datasets. ACM MM 2020.

2019

  • Chunjie Zhang, Jian Cheng, Qi Tian. Semantically Modeling of Object and Context for CategorizationIEEE Transactions on Neural Networks and Learning Systems (TNNLS), Vol.30, No.4, pp.1013-1024, 2019.
  • Zhe Li, Peisong Wang, Hanqing Lu, Jian Cheng. Reading Selectively via Binary Input Gate Recurrent UnitIJCAI 2019.
  • Zhe Li, Jian Cheng. Training Binary-Valued Gates LSTMICDAR 2019.
  • Guanan Wang, Yang Yang, Jian Cheng, Jinqiao Wang, Zengguang Hou. Color-Sensitive Persong Re-IdentificationIJCAI 2019.
  • Guanan Wang, Tianzhu Zhang, Jian Cheng, Si Liu, Yang Yang, Zengguang Hou. RGB-Infrared Cross-Modality Person Re-Identification via Joint Pixel and Feature AlignmentICCV 2019.
  • Fanrong Li, Zitao Mo, Peisong Wang, Zejian Liu, Jiayun Zhang, Gang Li, Qinghao Hu, Xiangyu He, Cong Leng, Yang Zhang, Jian Cheng. A System-Level Solution for Low-Power Object DetectionICCV 2019 Workshop on Low-Power Computer Vision.
  • Xiangyu He, Peisong Wang, Jian Cheng. K-Nearest Neighbors Hashing. CVPR 2019. [code]
  • Xiangyu He, Zitao Mo, Peisong Wang, Yang Liu, Mingyuan Yang, Jian Cheng. ODE-inspired Network Design for Single Image Super-Resolution. CVPR 2019. [code]
  • Lei Shi, Yifan Zhang, Jian Cheng, Hanqing Lu. Skeleton-Based Action Recognition with Directed Graph Neural NetworksCVPR 2019.
  • Lei Shi, Yifan Zhang, Jian Cheng, Hanqing Lu. Two-Stream Adaptive Graph Convolutional Networks for Skeleton-Based Action RecognitionCVPR 2019.[code]

2018

  • Jian Cheng, Peisong Wang, Gang Li, Qinghao Hu, Hanqing Lu. Recent Advances in Efficient Computation of Deep Convolutional Neural NetworksFrontiers of Information Technology & Electronic Engineering (FITEE), Vol.19, No.1, pp.64-77, 2018. [arXiv]
  • Peisong Wang, Qinghao Hu, Zhiwei Fang, Chaoyang Zhao, Jian Cheng. DeepSearch: A Fast Image Search Framework for Mobile Devices. ACM Transactions on Multimedia Computing Communications and Applications (TOMM), Vol.14(1), 2018.
  • Yifan Zhang, Congqi Cao, Jian Cheng, Hanqing Lu. EgoGesture: A New Dataset and Benchmark for Egocentric Hand Gesture RecognitionIEEE Transactions on Multimedia (TMM), Vol.20, No.5, pp.1038-1050, 2018. [Project link]
  • Chunjie Zhang, Jian Cheng, Qi Tian. Multiview Label Sharing for Visual Representations and ClassificationIEEE Transactions on Multimedia (TMM), Vol.20, No.4, pp.903-913, 2018.
  • Jian Cheng, Jiaxiang Wu, Cong Leng, Yuhang Wang, Qinghao Hu. Quantized CNN: A Unified Approach to Accelerate and Compress Convolutional NetworksIEEE Transactions on Neural Networks and Learning Systems (TNNLS), Vol.29, No.10, pp.4730-4743, 2018.
  • Tianli Zhao, Xiangyu He, Jian Cheng. BitStream: Efficient Computing Architecture for Real-Time Low-Power Inference of Binary Neural Networks on CPUsACM MM 2018.
  • Xiangyu He, Jian Cheng. Learning Compression from Limited Unlabeled DataECCV 2018. [code]
  • Guanan Wang, Qinghao Hu, Jian Cheng, Zengguang Hou. Semi-Supervised Generative Adversarial Hashing for Image RetrievalECCV 2018.
  • Qinghao Hu, Gang Li, Peisong Wang, Yifan Zhang, Jian Cheng. Training Binary Weight Networks via Semi-Binary DecompositionECCV 2018.
  • Qinghao Hu, Peisong Wang, Jian Cheng. From Hashing to CNNs: Training Binary Weight Networks via Hashing. AAAI 2018.
  • Gang Li, Fanrong Li, Tianli Zhao, Jian Cheng. Block Convolution: Towards Memory-Efficient Inference of Large-Scale CNNs on FPGA. DATE 2018.
  • Peisong Wang, Qinghao Hu, Yifan Zhang, Chunjie Zhang, Yang Liu, Jian Cheng. Two-Step Quantization for Low-bit Neural NetworksCVPR 2018.[code]

2017

  • Chunjie Zhang, Jian Cheng, Qi Tian. Incremental Codebook Adaptation for Visual Representation and Categorization. IEEE Transactions on Cybernetics (ToC), in press.

  • Chunjie Zhang, Jian Cheng, Qi Tian. Structured Weak Semantic Space Construction For Visual Categorization. IEEE Transactions on Neural Networks and Learning Systems (TNNLS), in press.

  • Qinghao Hu, Jiaxiang Wu, Lu Bai, Yifan Zhang, Jian Cheng. Fast K-Means for Large Scale Clustering. ACM CIKM 2017.

  • Qinghao Hu, Jiaxiang Wu, Jian Cheng, Lifang Wu, Hanqing Lu. Pesudo Label based Unsupervised Deep Discriminative Hashing for Image Retrieval. ACM MM 2017.

  • Congqi Cao, Yifan Zhang, Yi Wu, Hanqing Lu, Jian Cheng. Egocentric Gesture Recognition Using Recurrent 3D Convolutional Neural Networks with Spatiotemporal Transformer Modules. ICCV 2017. [Project link]

  • Peisong Wang, Jian Cheng. Fixed-point Factorized Networks. CVPR 2017. [code]

2016

  • Zhenfeng Zhu, Jian Cheng, Yao Zhao, Jieping Ye. LSSLP-Local Structure Sensitive Label PropagationInformation Sciences, Vol.332, pp.19-32, 2016.
  • Peisong Wang, Qiang Song, Hua Han, Jian Cheng. Sequentially Supervised Long Short-Term Memory for Gesture RecognitionCognitive Computation 2016
  • Peisong Wang, Jian Cheng. Accelerating Convolutional Neural Networks for Mobile ApplicationsACM MM 2016.
  • Zeyu Qiu, Deqiang Kong, Zhenfeng Zhu, Hanqing Lu, Jian Cheng. Heterogenous Graph Mining for Measuring the Impact of Research InstitutionsKDD 2016 KDD Cup workshop. (Ranked the 1st place on phase 2)
  • Chenghua Li, Qi Kang, Guojing Ge, Qiang Song, Hanqing Lu, Jian Cheng. DeepBE: Learning Deep Binary Encoding for Multi-Label ClassificationCVPR 2016 workshop. (Ranked the 2nd places on track 2 and track 3 of ChaLearn 2016)
  • Chenghua Li, Qiang Song, Yuhang Wang, Hang Song, Qi Kang, Jian Cheng, Hanqing Lu. Learning to Recognition from Bing Clickture DataICME 2016 workshop. (Successfully defended the 1st place on MSR Image Recognition Challenge)
  • Jiaxiang Wu, Qinghao Hu, Cong Leng, Jian Cheng. Shoot to Know What: An Application of Deep Networks on Mobile DevicesAAAI 2016 (Demo track).

2015

  • Chunjie Zhang, Jian Cheng, Jing Liu, Junbiao Pang, Qingming Huang, Qi Tian. Beyond Explicit Codebook Generation: Visual Representation Using Implicitly Transferred CodebooksIEEE Transactions on Image Processing (TIP), Vol. 24, No. 12, pp.5777-5788, 2015.
  • Qiang Song, Sixie Yu, Cong Leng, Jiaxiang Wu, Qinghao Hu, Jian Cheng. Learning Deep Features for MSR-Bing Information Retrieval ChallengeACM Multimedia 2015. (Ranked the 1st place on Visual Recognition task and 3rd place on Image Retrieval task)
  • Qiang Song, Jian Cheng, Ting Yuan, Hanqing Lu. Personalized Recommendation Meets Your Next FavoriteCIKM 2015.
  • Qiang Song, Jian Cheng, Hanqing Lu. Incremental Matrix Factorization via Feature Space Re-learning for Recommender SystemACM RecSys 2015.
  • Cong Leng, Jiaxiang Wu, Jian Cheng, Xi Zhang, Hanqing Lu. Hashing for Distributed DataICML 2015.
  • Xi Zhang, Jian Cheng, Shuang Qiu, Zhenfeng Zhu, Hanqing Lu. When Personalization meets Conformity: Collective Similarity based Multi-Domain RecommendationSIGIR 2015.
  • Cong Leng, Jian Cheng. Consensus HashingMachine Learning, Vol.100 (2), pp.379-398, 2015.
  • Cong Leng, Jiaxiang Wu, Jian Cheng, Xiao Bai, Hanqing Lu. Online Sketching HashingCVPR 2015.[code]
  • Shuang Qiu, Jian Cheng, Xi Zhang, Hanqing Lu. Exploring Heterogeneity for Multi-Domain Recommendation with Decisive Factors SelectionWWW 2015 (Companion Volume).
  • Xi Zhang, Jian Cheng, Shuang Qiu, Guibo Zhu, Hanqing Lu. DualDS: A Dual Discriminative Rating Elicitation Framework for Cold Start Recommendation. Knowledge-Based Systems, Vol.73, pp.161-172, 2015.

2014

  • Xiao Bai, Haichuan Yang, Jun Zhou, Peng Ren, Jian Cheng. Data-Dependent Hashing Based on p-Stable DistributionIEEE Transactions on Image Processing (TIP), Vol.23, No.12, pp.5033-5046, 2014.
  • Cong Leng, Jian Cheng, Jiaxiang Wu, Xi Zhang, Hanqing Lu. Supervised Hashing with Soft ConstraintsCIKM 2014.
  • Cong Leng, Jian Cheng, Ting Yuan, Xiao Bai, Hanqing Lu. Learning binary codes with bagging PCAECML 2014. [code]
  • Jiaxiang Wu, Jian Cheng. Bayesian Co-Boosting for Multi-modal Gesture RecognitionJournal of Machine Learning Research (JMLR), 15(Oct):3013−3036, 2014.
  • Cong Leng, Jian Cheng, Hanqing Lu. Random Subspace for Binary Codes Learning in Large Scale Image RetrievalSIGIR 2014.
  • Jian Cheng, Ting Yuan, Jinqiao Wang, Hanqing Lu. Group Latent Factor Model for Recommendation with Multiple User BehaviorsSIGIR 2014.
  • Shuang Qiu, Jian Cheng, Ting Yuan, Cong Leng, Hanqing Lu. Item Group Based Pairwise Preference Learning for Personalized Ranking. SIGIR 2014.
  • Haichuan Yang, Xiao Bai, Jun Zhou, Peng Ren, Zhihong Zhang, Jian Cheng. Adaptive Object Retrieval with Kernel Reconstructive HashingCVPR 2014.
  • Ting Yuan, Jian Cheng, Xi Zhang, Shuang Qiu and Hanqing Lu. Recommendation by Mining Multiple User Behaviors with Group SparsityAAAI 2014.
  • Jian Cheng, Cong Leng, Peng Li, Meng Wang, Hanqing Lu. Semi-Supervised Multi-Graph Hashing for Scalable Similarity SearchComputer Vision and Image Understanding (CVIU), Vol.124, pp.12-21, 2014.

2013

  • Huiguang Zhang, Xiao Bai, Jun Zhou, Jian Cheng, Huijie Zhao. Object Detection via Structural Feature Selection and Shape ModelIEEE Transaction on Image Processing (TIP), Vol.22, No.12, pp.4984-4995, 2013.
  • Biao Niu, Jian Cheng, Xiao Bai, Hanqing Lu. Asymmetric Propagation based Batch Mode Active Learning for Image RetrievalSignal Processing. Vol.93, pp. 1639-1650, 2013
  • Peng Li, Jian Cheng, Hanqing Lu. Dual Locality Sensitive Hashing with Discriminative Projections SelectionSignal Processing, Vol.93, No.8, pp.2256-2264, 2013
  • Huigang Zhang, Xiao Bai, Huaxin Zheng, Huijie Zhao, Jun Zhou, Jian Cheng, Hanqing Lu. Hierarchical Remote Sensing Image Analysis via Graph Laplacian EnergyIEEE Geoscience and Remote Sensing Letters, Vol.10, No.2, pp.396-400, 2013
  • Chao Liang, Changsheng Xu, Jian Cheng, Weiqing Min, Hanqing Lu. Script-to-Movie: A Computational Framework for Story Movie CompositionIEEE Transactions on Multimedia (TMM). Vol.15, No.2, pp.401-414, 2013
  • Peng Li, Meng Wang, Jian Cheng, Changsheng Xu, Hanqing Lu. Spectral Hashing with Semantically Consistent Graph for Image IndexingIEEE Transactions on Multimedia (TMM), Vol.15, No.1, pp.141-152, 2013. (Prize paper award honorable mention 2016)
  • Biao Niu, Bin Li, Peng Li, Xi Zhang, Jian Cheng, Hanqing Lu. Attribute Expansion with Sequential Learning for Object Classification. ICME 2013. (Best paper candidate)
  • Xi Zhang, Jian Cheng, Ting Yuan, Biao Niu, Hanqing Lu. Semi-Supervised Discriminative Preference Elicitation for Cold-Start Recommendation. CIKM 2013.
  • Xi Zhang, Jian Cheng, Ting Yuan, Biao Niu, Hanqing Lu. TopRec: Domain-Specific Recommendation through Community Topic Mining in Social Network. WWW 2013.
  • Jiaxiang Wu, Jian Cheng, Chaoyang Zhao, Hanqing Lu. Fusing multi-modal features for gesture recognition. ICMI 2013. (Won 1st award on ChaLearn Challenge 2013)

2012

  • Yi Wu, Jian Cheng, Jinqiao Wang, Hanqing Lu, Jun Wang, Haibin Ling, Erik Blasch, Li Bai. Real-time probabilistic covariance tracking with efficient model updateIEEE Transactions on Image Processing (TIP), Vol.21, No.5, pp.2824-2837, 2012
  • Xiaofeng Zhu, Zi Huang, Heng Tao Shen, Jian Cheng, Changsheng Xu. Dimensionality Reduction by Mixed Kernel Canonical Correlation AnalysisPattern Recognition, Vol.45, No.8, pp.3003-3016, 2012
  • Biao Niu, Jian Cheng, Hanqing Lu. Improving Relevance Feedback for Image Retrieval with Asymmetric Sampling. ICME 2012
  • Peng Li, Jian Cheng, Hanqing Lu. Modeling Hidden Topics with Dual Local Consistency for Image Analysis. ACCV 2012

2011 and before

  • Chao Liang, Changsheng Xu, Jian Cheng, Hanqing Lu. TVParser: An automatic TV video parsing method. CVPR 2011
  • Yang Liu, Jian Cheng, Changsheng Xu, Hanqing Lu. Building topographic subspace model with transfer learning for sparse representation. Neurocomputing, 73(10-12), 2010
  • Changsheng Xu, Jian Cheng, Yi Zhang, Yifan Zhang, and Hanqing Lu. Sports video analysis: semantics extraction, editorial content creation and adaptation. Journal of Multimedia, Vol.4, No.2, pp.69-79, 2009
  • Xiaoyu Zhang, Changsheng Xu, Jian Cheng, Hanqing Lu, and Songde Ma. Effective Annotation and Search for Video Blogs with Integration of Context and Content Analysis. IEEE Transactions on Multimedia (TMM), Vol.11, No.2, pp.272-285, 2009.
  • Yikai Fang, Jian Cheng, Hanqing Lu. A hand gesture recognition method with fast scale-space feature detection. Journal of Image and Graphics, Vol.14, No.2, 2009. (In Chinese)
  • Rong Liu, Jian Cheng, Hanqing Lu. A Robust Boosting Tracker with Minimum Error Bound in a Co-training Framework. ICCV 2009
  • Yi Wu, Jian Cheng, Jinqiao Wang, Hanqing Lu. Real-time Visual Tracking via Incremental Covariance Tensor Learning. ICCV 2009
  • Yu Fu, Jian Cheng, Zhenglong Li and Hanqing Lu. Saliency Cuts: an automatic approach to object segmentation. ICPR 2008
  • Yikai Fang, Kongqiao Wang, Jian Cheng, and Hanqing Lu. A Real-time hand gesture recognition method. ICME 2007
  • Yikai Fang, Jian Cheng, Kongqiao Wang, and Hanqing Lu. Hand gesture recognition using fast multi-scale analysis. ICIG 2007
  • Zhenglong Li, Jian Cheng, Qingshan Liu, and Hanqing Lu. Image Segmentation using Co-EM strategy. ACCV 2007
  • Xiaoyu Zhang, Jian Cheng, Hanqing Lu, and Songde Ma. Weighted Co-SVM for image retrieval with MVB strategy. ICIP 2007
  • Jian Cheng and Kongqiao Wang. Active learning for image retrieval with Co-SVM. Pattern Recognition, Vol.40, pp.330-334, 2007.
  • Jian Cheng, Qingshan Liu, Hanqing Lu, and Yen-Wei Chen. Ensemble learning for independent component analysis. Pattern Recognition, Vol.39, pp.81-88, 2006.
  • Jian Cheng, Qingshan Liu, Hanqing Lu, and Yen-Wei Chen. Supervised kernel locality preserving projections for face recognition. Neurocomputing, vol.67, pp.443-449, 2005.
  • Jian Cheng, Yen-Wei Chen, Hanqing Lu and Xiang-Yan Zeng. A spatial weighted color histogram for image retrieval. IEICE Transaction on Information and System, Vol.E87-D, No.1, pp.246-249, 2004.