Publications

SCI Journal Papers

[1] Chenggang Yan, Lixuan Meng, Liang Li, Jiehua Zhang, Jian Yin, Jiyong Zhang, Zhan Wang, Bo-lun Zheng, “Age-Invariant Face Recognition By Multi-Feature Fusion and Decomposition with Self-Attention”, ACM Transactions on Multimedia Computing Communications and Applications 2021.
[2] Chenggang Yan, Tong Teng, Yutao Liu, Yongbing Zhang, Haoqian Wang, Xiangyang Ji, “Precise No-Reference Image Quality Evaluation Based on Distortion Identification”, ACM Transactions on Multimedia Computing Communications and Applications 2021.
[3] Chenggang Yan, Yiming Hao, Liang Li, Jian Yin, Anan Liu, Zhendong Mao, Zhenyu Chen, Xing-yu Gao, “Task-Adaptive Attention for Image Captioning”, IEEE Transactions on Circuits and Systems for Video Technology, 2021.(ESI Highly Cited Paper)
[4] Chenggang Yan, Zhisheng Li, Yongbing Zhang, Yutao Liu, Xiangyang Ji, Yongdong Zhang, “Depth image denoising using nuclear norm and learning graph model”, ACM Transactions on Multimedia Computing Communications and Applications 2020.(ESI Highly Cited Paper)
[5] Chenggang Yan, Biao Gong, Yuxuan Wei, Yue Gao, “Deep Multi-View Enhancement Hashing for Image Retrieval”, IEEE Transactions on Pattern Analysis and Machine Intelligence, 2020.(ESI Highly Cited Paper)
[6] Chenggang Yan, Biyao Shao, Hao Zhao, Ruixin Ning, Yongdong Zhang, Feng Xu, “3D Room Layout Estimation from a Single RGB Image”, IEEE Transactions on Multimedia 2020.(ESI Highly Cited Paper)
[7] Chenggang Yan, Yunbin Tu, Xingzheng Wang, Yongbing Zhang, Xinhong Hao, Yongdong Zhang, Qionghai Dai, “STAT: Spatial-Temporal Attention Mechanism for Video Captioning”, IEEE Transactions on Multimedia 2019.(ESI Highly Cited Paper)
[8] Chenggang Yan, Liang Li, Chunjie Zhang, Bingtao Liu, Yongdong Zhang, Qionghai Dai, “Cross-modality Bridging and Knowledge Transferring for Image Understanding”, IEEE Transac-tions on Multimedia 2019.(ESI Highly Cited Paper)
[9] Chenggang Yan, Hongtao Xie, Jianjun Chen, Yongdong Zhang and Qionghai Dai, “A Fast Uyghur Text Detector for Complex Background Images”, IEEE Transactions on Multimedia, 2018.(ESI Highly Cited Paper)
[10] Chenggang Yan, Hongtao Xie, Dongbao Yang, Jian Yin, Yongdong Zhang, Qionghai Dai, “Super-vised Hash Coding with Deep Neural Network for Environment Perception of Intelligent Vehicles”, IEEE Transactions on Intelligent Transportation Systems, 2018.(ESI Highly Cited Paper)
[11] Chenggang Yan, Hongtao Xie, Shun Liu, Jian Yin, Yongdong Zhang, Qionghai Dai, “Effective Uyghur Language Text Detection in Complex Background Images for Traffic Prompt Identifica-tion”, IEEE Transactions on Intelligent Transportation Systems, 2018.(ESI Highly Cited Paper)
[12] Chenggang Yan, Yongdong Zhang, Jizheng Xu, Feng Dai, Jun Zhang, Qionghai Dai, and Feng Wu, “Efficient Parallel Framework for HEVC Motion Estimation on Many-core Processors”, IEEE Transactions on Circuits and Systems for Video Technology, 24(12): 2077-2089, July, 2014.(ESI Highly Cited Paper)
[13] Chenggang Yan, Yongdong Zhang, Jizheng Xu, Feng Dai, Liang Li, Qionghai Dai and Feng Wu, “A Highly Parallel Framework for HEVC Coding Unit Partitioning Tree Decision on Many-core Pro-cessors”, IEEE Signal Processing letters, 21(5): 573-576, May, 2014.(ESI Highly Cited Paper)
[14] Chenggang Yan, Yongdong Zhang, Feng Dai, Jun Zhang, Liang Li and Qionghai Dai, “Efficient Parallel HEVC Intra Prediction on Many-core Processor”, Electronics Letters,50(11): 805-806, May, 2014.
[15] Chenggang Yan, Yongdong Zhang, Feng Dai, Xi Wang, Liang Li and Qionghai Dai, “Parallel deblocking filter for HEVC on many-core processor”, Electronics Letters, 50(5): 367-368, April, 2014.
[16] Ding Ruan, Shuyi Ji, Chenggang Yan, Junjie Zhu, Xibin Zhao, Yuedong Yang, Yue Gao, Changqing Zou, Qionghai Dai: Exploring complex and heterogeneous correlations on hyper-graph for the prediction of drug-target interactions. Patterns 2(12): 100390 (2021)
[17] Hengrun Zhao, Bolun Zheng, Shanxin Yuan, Hua Zhang, Chenggang Yan, Liang Li, Gregory G. Slabaugh: CBREN: Convolutional Neural Networks for Constant Bit Rate Video Quality En-hancement. IEEE Trans. Circuits Syst. Video Technol. 32(7): 4138-4149 (2022)
[18] Tingyu Wang, Zhedong Zheng, Chenggang Yan, Jiyong Zhang, Yaoqi Sun, Bolun Zheng , Yi Yang: Each Part Matters: Local Patterns Facilitate Cross-View Geo-Localization. IEEE Trans. Circuits Syst. Video Technol. 32(2): 867-879 (2022).
[19] Xiaofei Zhou, Kunye Shen, Zhi Liu, Chen Gong, Jiyong Zhang, Chenggang Yan: Edge-Aware Multiscale Feature Integration Network for Salient Object Detection in Optical Remote Sensing Images. IEEE Trans. Geosci. Remote. Sens. 60: 1-15 (2022)
[20] Xiaofei Zhou, Hao Fang, Zhi Liu, Bolun Zheng, Yaoqi Sun, Jiyong Zhang, Chenggang Yan: Dense Attention-Guided Cascaded Network for Salient Object Detection of Strip Steel Surface De-fects. IEEE Trans. Instrum. Meas. 71: 1-14 (2022)
[21] Bolun Zheng, Quan Chen, Shanxin Yuan, Xiaofei Zhou, Hua Zhang, Jiyong Zhang, Chenggang Yan, Gregory G. SlabaughConstrained Predictive Filters for Single Image Bokeh Rendering, IEEE Trans. Computational Imaging 8: 346-357 (2022)
[22] Zheren Fu, Zhendong Mao, Chenggang Yan, An-An Liu, Hongtao Xie, Yongdong Zhang: Self-Supervised Synthesis Ranking for Deep Metric Learning. IEEE Trans. Circuits Syst. Video Technol. 32(7): 4736-4750 (2022)
[23] Hehe Fan, Zheng Liang, Chenggang Yan, Yi Yang, “Unsupervised Person Re-identification: Clus-tering and Fine-tuning”, ACM Transactions on Multimedia Computing Communications and Ap-plications, 2018.(ESI Highly Cited Paper)
[24] Yutian Lin, Liang Zheng, Zhedong Zheng, Yu Wu, Zhilan Hu, Chenggang Yan, Yi Yang, “Improv-ing person re-identification by attribute and identity learning”, Pattern Recognition, 2019.(ESI Highly Cited Paper)
[25] Shancheng Fang, Zhendong Mao, Hongtao Xie, Yuxin Wang, Chenggang Yan, Yongdong Zhang, “ABINet++: Autonomous, Bidirectional and Iterative Language Modeling for Scene Text Spot-ting”, IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022
[26] Bolun Zheng, Shanxin Yuan, Chenggang Yan, Xiang Tian, Jiyong Zhang, Yaoqi Sun, Lin Liu, Ales Leonardis, Gregory Slabaugh, “Learning Frequency Domain Priors for Image Demoireing”, IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021
[27] Youpeng Hu, Xunkai Li, Yujie Wang, Yixuan Wu, Yining Zhao, Chenggang Yan, Jian Yin, Yue Gao, “Adaptive Hypergraph Auto-Encoder for Relational Data Clustering, IEEE Transactions on Knowledge and Data Engineering, 2021
[28] Yujie Wang, Chenggang Yan, Yutong Feng, Shaoyi Du, Qionghai Dai, Yue Gao, “STORM: Struc-ture-based Overlap Matching for Partial Point Cloud Registration”, IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022
[29] Junjie Bai, Biao Gong, Yining Zhao, Chenggang Yan, and Yue Gao, “Multi-Scale Representation Learning on Hypergraph for 3D Shape Retrieval and Recognition”, IEEE Transactions on Image Processing, 2021
[30] Defu Yang, Jiazhou Chen, Chenggang Yan, Minjeong Kim, Paul J. Laurienti, Martin Styner, and Guorong Wu. “Group-wise Hub Identification by Learning Common Graph Embeddings on Grassmannian Manifold”, IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021
[31] Wenhui Li, Zhenlan Zhao, An-An Liu, Zan Gao, Chenggang Yan, Zhendong Mao, Haipeng Chen and Weizhi Nie, “Joint Local Correlation and Global Contextual Information for Unsupervised 3D Model Retrieval and Classification”, IEEE Transactions on Circuits and Systems for Video Tech-nology, 2021.
[32] Zhang, Xiaolin, Wei, Yunchao, Li, Zhao, Chenggang Yan, Yang, Yi, “Rich Embedding Features for One-Shot Semantic Segmentation”, IEEE Transactions on Neural Networks and Learning Systems, 2021.
[33] Biao Gong, Chenggang Yan, Junjie Bai, Changqing Zou and Yue Gao, “Hamming Embedding Sensitivity Guided Fusion Network for 3D Shape Representation”, IEEE Transactions on Image Processing, 2020.
[34] Yang He, Xuanyi Dong, Guoliang Kang, Yanwei Fu, Chenggang Yan, and Yi Yang, “Asymptotic Soft Filter Pruning for Deep Convolutional Neural Networks”,IEEE Transactions on Cybernetics, 2020.
[35] Xin Liu, Jiyong Zhang, Chenggang Yan, “Towards context-aware collaborative filtering by learn-ing context-aware latent representations”, Knowledge-Based Systems, 2020
[36] Yutian Lin, Yu Wu, Chenggang Yan, Mingliang Xu, and Yi Yang, “Unsupervised Person Re-identification via Cross-camera Similarity Exploration”, IEEE Transactions on Image Pro-cessing, 2020.
[37] Yafen Xing, Haibing Yin, Yang Zhou, Yong Chen, Chenggang Yan: Spatiotemporal just noticea-ble difference modeling with heterogeneous temporal visual features. Displays 70: 102096 (2021)
[38] Zunjie Zhu, Zhefeng Xu, Ruolin Chen, Tingyu Wang, Can Wang, Chenggang Yan, Feng Xu: FastFusion: Real-Time Indoor Scene Reconstruction with Fast Sensor Motion. Remote. Sens. 14(15): 3551 (2022)
[39] Zongyu Zhang, Zhiguo Shi, Chengwei Zhou, Chenggang Yan, Yujie Gu: Ziv-Zakai Bound for Compressive Time Delay Estimation. IEEE Trans. Signal Process. 70: 4006-4019 (2022)
[40] Ying Liu, Zongyu Zhang, Chengwei Zhou, Chenggang Yan, Zhiguo Shi: Robust Variational Bayesian Inference for Direction-of-Arrival Estimation With Sparse Array. IEEE Trans. Veh. Technol. 71(8): 8591-8602 (2022)
[41] Kai Zeng, Qian Ma, Jiawen Wu, Zhe Chen, Tao Shen, Chenggang Yan: FPGA-based accelerator for object detection: a comprehensive survey. J. Supercomput. 78(12): 14096-14136 (2022)
[42] Yu Zhang, Xingyu Gao, Zhenyu Chen, Huicai Zhong, Hongtao Xie, Chenggang Yan, “Mining Spatial-Temporal Similarity for Visual Tracking”, IEEE Transactions on Image Processing, 2020.
[43] Xiao Wang, Wu Liu, Jun Chen, Xiaobo Wang, Chenggang Yan, Tao Mei, “Listen, Look, and Find the One: Robust Person Search with Multimodality Index”, ACM Transactions on Multimedia Computing Communications and Applications, 2020.
[44] Qianyu Feng, Yu Wu, Hehe Fan, Chenggang Yan, Mingliang Xu, Yi Yang, “Cascaded Revision Network for Novel Object Captioning”, IEEE Transactions on Circuits and Systems for Video Technology, 2020.
[45] Teng Zhang, Shaowei Jiang, Zixin Zhao, Krishna Dixit, Xiaofei Zhou, Jia Hou, Yongbing Zhang, and Chenggang Yan, “Rapid and robust two-dimensional phase unwrapping via deep learning”, Optics Express, 2019.
[46] Yongbing Zhang, Lixin Chen, Chenggang Yan, Peiwu Qin, Xiangyang Ji, Qionghai Dai, “Weighted Convolutional Motion-Compensated Frame Rate Up-Conversion Using Deep Residual Network”, IEEE Transactions on Circuits and Systems for Video Technology, 2020.
[47] Qi Wang, Jia Wan, Feiping Nie, Bo Liu, Chenggang Yan, Xuelong Li, “Hierarchical Feature Selec-tion for Random Projection”, IEEE Transactions on Neural Networks and Learning Systems, 2019.
[48] Junwei Han, Hao Chen, Nian Liu, Chenggang Yan, Xuelong Li, “CNNs Based RGB-D Saliency Detection via Cross-View Transfer and Multi-View Fusion”, IEEE Transactions on Cybernetics, 2018.(ESI Highly Cited Paper)
[49] Hantao Yao, Shiliang Zhang, Chenggang Yan, Yongdong Zhang, Jintao Li and Qi Tian, “AutoBD: Automated Bi-Level Description for Scalable Fine-Grained Visual Categorization”, IEEE Transac-tions on Image Processing, 2018.
[50] Yongbing Zhang, Lulu Sun, Chenggang Yan, Xiangyang Ji, Qionghai Dai, “Adaptive Residual Networks for High-Quality Image Restoration”, IEEE Transactions on Image Processing, 2018.
[51] Yongdong Zhang, Chenggang Yan, Feng Dai,Yike Ma, “Efficient Parallel Framework for H.264/AVC Deblocking Filter on Many-core Platform”, IEEE Transactions on Multimedia, 14(3): 510-524, June, 2012.
[52] Hongtao Xie, Yongdong Zhang, Han Deng, Chenggang Yan, and Zhineng Chen, “Double-bit Quantization and Index Hashing for Nearest Neighbor Search”, IEEE Transactions on Multimedia, 2019.
[53] Xing Chen, Chenggang Yan, Xu Zhang, Zhu-Hong You , “Long non-coding RNAs and complex diseases: from experimental results to computational models”, Briefings in Bioinformatics, 2017.
[54] Xing Chen, Chenggang Yan, Xu Zhang, Zhu-Hong You , Lixi Deng, Ying Liu, Yongdong Zhang, and Qionghai Dai, “WBSMDA: Within and Between Score for MiRNA-Disease Association predic-tion”, Scientific Reports, 2016
[55] Xing Chen, Chenggang Yan, Xiaotian Zhang, Feng Dai, Jian Yin, and Yongdong Zhang, “Drug–target interaction prediction: databases, web servers and computational models”, Briefings in Bioinformatics, 2016.
[56] Kun Li, Yujie Wang, Xinchen Ye, Chenggang Yan, Jingyu Yang: Sparse intrinsic decomposition and applications. Signal Process. Image Commun. 95: 116281 (2021)
[57] Defu Yang, Xiaofeng Zhu, Chenggang Yan, Zi-Wen Peng, Maria Bagonis, Paul J. Laurien-ti, Mar-tin Styner, Guorong Wu: Joint hub identification for brain networks by multivariate graph infer-ence. Medical Image Analysis. 73: 102162 (2021)
[58] Minjeong Kim, Chenggang Yan, Defu Yang, Peipeng Liang, Daniel I. Kaufer, Guorong Wu: Con-structing Connectome Atlas by Graph Laplacian Learning. Neuroinformatics 19(2): 233-249 (2021)
[59] Bin Zhu, Tongkun Xu, Bolun Zheng, Quan Zhang, Yaoqi Sun, Anan Liu, Zhendong Mao, Chenggang Yan: Evolution of ICTs-empowered-identification: A general re-ranking method for person re-identification. Pattern Recognit. Lett. 150: 94-100 (2021)
[60] Yifeng Xie, Hongnan Yang, Xi Yuan, Qian He, Ruitao Zhang, Qianyun Zhu, Zhenhai Chu, Chengming Yang, Peiwu Qin, Chenggang Yan: Stroke prediction from electrocardiograms by deep neural network. Multimedia Tools and Applications. 80(11): 17291-17297 (2021)
[61] Chaoyi Wang, Liang Li, Chenggang Yan, Zhan Wang, Yaoqi Sun, Jiyong Zhang: Cross-modal semantic correlation learning by Bi-CNN network. IET Image Process. 15(14): 3674-3684 (2021)
[62] Xiang Tian, Bolun Zheng, Shengyu Li, Chenggang Yan, Jiyong Zhang, Yaoqi Sun, Tao Shen, Mang Xiao: Hard parameter sharing for compressing dense-connection-based image restoration network. J. Electronic Imaging 30(5) (2021)
[63] Yinhao Liu, Xiaofei Zhou, Haibing Yin, Hongkui Wang, Chenggang Yan: Efficient video quality assessment with deeper spatiotemporal feature extraction and integration. J. Electronic Imaging 30(6) (2021)
[64] Zhenbao Liu, Zhen Jia, Chi-Man Vong, Junwei Han, Chenggang Yan, Michael G. Pecht, “A Patent Analysis of Prognostics and Health Management (PHM) Innovations for Electrical Systems”, IEEE Access, 2018
[65] Yaoqi Sun, Liang Li, Liang Zheng, Ji Hu, Wenchao Li, Yatong Jiang, Chenggang Yan, “Image classification base on PCA of multi-view deep representation”, Journal of Visual Communi-cation and Image Representation, 2019
[66] Xiaofei Zhou, Hongfa Wen, Ran Shi, Haibing Yin, Jiyong Zhang, Chenggang Yan: FANet: Feature aggregation network for RGBD saliency detection. Signal Processing: Image Communication. 102: 116591 (2022)
[67] Yaoqi Sun, Liang Li, Tingting Yao, Tongyv Lu, Bolun Zheng, Chenggang Yan, Hua Zhang, Yongjun Bao, Guiguang Ding, Gregory G. Slabaugh: Bidirectional difference locating and seman-tic consistency reasoning for change captioning. International Journal of Intelligent Systems. 37(5): 2969-2987 (2022)
[68] Hongfa Wen, Xiaofei Zhou, Yaoqi Sun, Jiyong Zhang, Chenggang Yan, “Deep fusion based video saliency detection”, Journal of Visual Communi-cation and Image Representation,2019.
[69] Hongfa Wen, Chenggang Yan, Xiaofei Zhou, Runmin Cong, Yaoqi Sun, Bolun Zheng, Jiyong Zhang, Yongjun Bao, Guiguang Ding: Dynamic Selective Network for RGB-D Salient Object De-tection. IEEE Transations on Image Processing. 30: 9179-9192 (2021)
[70] Defu Yang, Lin Wang, Dongmei Chen, Chenggang Yan, Xiaowei He, Jimin Liang, Xueli Chen, “Filtered maximum likelihood expectation maximization based global reconstruction for biolu-minescence tomography”, Medical & Biological Engineering & Computing, 2018.
[71] Wu Liu, Chenggang Yan, Jiangyu Liu, and Huadong Ma, “Deep learning based basketball video analysis for intelligent arena application”, Multimedia Tools and Applications, 2017.
[72] Xing Chen, Chenggang Yan, Xiaotian Zhang, Zhaohui Li, Lixi Deng, Yongdong Zhang, and Qionghai Dai, “RBMMMDA: predicting multiple types of disease-microRNA associations”, Scien-tific Reports, 2015.
[73] Xing Chen, Chenggang Yan, Cai Luo, Wen Ji, Yongdong Zhang, Qionghai Dai, “Constructing lncRNA functional similarity network based on lncRNA disease associations and disease semantic similarity”, Scientific Reports, 2015.
[74] Chenggang Yan, “The curtailed careers of women in China”, Science, Vol. 347, No. 6222, pp. 620, 2015.
[75] Lei Huang, Wen Ji, Zhiqiang Wei, Bo-Wei Chen, Chenggang Yan, Jie Nie, Jian Yin, Baochen Jiang, “Robust Skin Detection in Real-World Images”, Journal of Visual Communication and Image Representation, 2015.
[76] Liang Li, Chenggang Yan, Xing Chen, Chunjie Zhang, Jian Yin, Baochen Jiang, Qingming Huang, “Distributed image understanding with semantic dictionary and semantic expansion”, Neuro-computing, Vol. 174, Part A, pp. 384-392, 2016.
[77] Liang Li, Chenggang Yan, Wen Ji, Bo-Wei Chen, Shuqiang Jiang, Qingming Huang, “LSH-based Semantic Dictionary Learning for Large Scale Image Understanding”, Journal of Visual Commu-nication and Image Representation, 2015.
[78] Chenggang Yan, Liang Li, Zhan Wang, Jian Yin, Hailong Shi, Shuqiang Jiang, Qingming Huang, “Fusing multi-cues description for partial-duplicate image retrieval”, Journal of Visual Communi-cation and Image Representation, 2014.

Conference Papers

[79] Hang Xu, Qiang Zhao, Yike Ma, Xiaodong Li, Peng Yuan, Bailan Feng, Chenggang Yan, Feng Dai. “PANDORA: A Panoramic Detection Dataset for Object with Orientation.” European Con-ference on Computer Vision, 2022.
[80] Jinkai Zheng, Xinchen Liu, Xiaoyan Gu, Yaoqi Sun, Chuang Gan, Jiyong Zhang, Wu Liu, Cheng-gang Yan. “Gait recognition in the wild with multi-hop temporal switch.” Proceedings of the 30th ACM International Conference on Multimedia. 2022.
[81] Bolun Zheng, Xiaokai Pan, Hua Zhang, Xiaofei Zhou, Gregory Slabaugh, Chenggang Yan, Shanxin Yuan. “DomainPlus: Cross Transform Domain Learning towards High Dynamic Range Imaging.” Proceedings of the 30th ACM International Conference on Multimedia. 2022.
[82] Jinkai Zheng, Xinchen Liu, Wu Liu, Lingxiao He, Chenggang Yan, Tao Mei. “Gait Recognition in the Wild with Dense 3D Representations and A Benchmark.” Proceedings of the IEEE/CVF Con-ference on Computer Vision and Pattern Recognition. 2022.
[83] Feng Dai, Bin Chen, Hang Xu, Yike Ma, Xiaodong Li, Bailan Feng, Peng Yuan, Chenggang Yan, Qiang Zhao: Unbiased IoU for Spherical Image Object Detection. AAAI Conference on Artificial Intelligence Conference on Artificial Intelligence 2022: 508-515
[84] Hongshuo Tian, Ning Xu, An-An Liu, Chenggang Yan, Zhendong Mao, Quan Zhang, Yongdong Zhang: Mask and Predict: Multi-step Reasoning for Scene Graph Generation. ACM Multimedia 2021: 4128-4136.
[85] Yunbin Tu, Liang Li, Chenggang Yan, Shengxiang Gao, Zhengtao Yu: R3Net: Relation-embedded Representation Reconstruction Network for Change Captioning. Proceedings of the 2021 Confer-ence on Empirical Methods in Natural Language Processing, 2021: 9319-9329
[86] Jiehua Zhang, Liang Li, Chenggang Yan, Yaoqi Sun, Tao Shen, Jiyong Zhang, Zhan Wang: Heu-ristic Depth Estimation with Progressive Depth Reconstruction and Confidence-Aware Loss. ACM Multimedia 2021: 2252-2261
[87] Hu Zhang, Chenghua Wang, Chenggang Yan, Yijun Cui, Chongyan Gu, Máire O’Neill, Weiqiang Liu: A Dynamic Highly Reliable SRAM-Based PUF Retaining Memory Function. International Symposium on Circuits and Systems, 2021: 1-5
[88] Yunbin Tu, Tingting Yao, Liang Li, Jiedong Lou, Shengxiang Gao, Zhengtao Yu, Chenggang Yan: Semantic Relation-aware Difference Representation Learning for Change Captioning. Findings of the Association for Computational Linguistics, 2021: 63-73
[89] Xin He, Shihao Wang, Xiaowen Chu, Shaohuai Shi, Jiangping Tang, Xin Liu, Chenggang Yan, Jiyong Zhang, Guiguang Ding: Automated Model Design and Benchmarking of Deep Learning Models for COVID-19 Detection with Chest CT Scans. AAAI Conference on Artificial Intelligence 2021: 4821-4829
[90] Jinkai Zheng, Xinchen Liu, Chenggang Yan, Jiyong Zhang, Wu Liu, Xiaoping Zhang, and Tao Mei, “TraND: Transferable Neighborhood Discovery for Unsupervised Cross-domain Gait Recog-nition”, IEEE International Symposium on Circuits and Systems, 2021 (Best Paper Award - Hon-orable Mention)
[91] Lixuan Meng, Chenggang Yan, Jun Li, Jian Yin, Wu Liu, Hongtao Xie, Liang Li, “Multi-Features Fusion and Decomposition for Age-Invariant Face Recognition”, ACM Multimedia, 2020.
[92] Liang Li, Shijie Yang, Li Su, Shuhui Wang, Chenggang Yan, Zhengjun Zha, Qingming Huang, “Diverter-Guider Recurrent Network for Diverse Poems Generation from Image”, ACM Multime-dia, 2020.
[93] Xinchen Liu, Wu Liu, Jinkai Zheng, Chenggang Yan, Tao Mei, “Beyond the Parts: Learning Mul-ti-view Cross-part Correlation for Vehicle Re-identification”, ACM Multimedia, 2020
[94] Zhikun Huang, Zhedong Zheng, Chenggang Yan, Hongtao Xie, Yaoqi Sun, Jianzhong Wang, Jiyong Zhang, “Real-World Automatic Makeup via Identity Preservation Makeup Net”, International Joint Conference on Artificial Intelligence, 2020.
[95] Yi Lin, Defu Yang, Jie Peng, Chengang Yan, Yue Gao, Minjeong Kim, Paul J.Laurienti, Guorong Wu, “A General Learning-based Framework to Characterize Intrinsic Connectivity Strength in Brain Networks”, Organization for Human Brain Mapping, 2020.
[96] Anqi Chen, Defu Yang, Chenggang Yan, Minjeong Kim, Paul J Laurienti, Guorong Wu, “Rein-forcement Learning the Heuristics of Hub Identification over Brain Networks”, Organization for Human Brain Mapping, 2020.
[97] Yutian Lin, Lingxi Xie, Yu Wu, Chenggang Yan, Qi Tian, “Unsupervised Person Re-identification via Softened Similarity Learning”, IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020.
[98] Anqi Chen, Defu Yang, Chenggang Yan, Ziwen Peng, Minjeong Kim, Paul Laurienti, Guorong Wu, “A Novel Spatio-Temporal Hub Identification Method for Dynamic Functional Networks”, IEEE International Symposium on Biomedical Imaging (2020)
[99] Haibing Yin, Yafen Xing, Guangjing Xia, Xiaofeng Huang, Chenggang Yan, “Improving Just No-ticeable Difference Model by Leveraging Temporal HVS Perception Characteristics”, Internation-al Conference on Multimedia Modeling, 2020.
[100] Defu Yang, Chenggang Yan, Feiping Nie, Xiaofeng Zhu, Md Asadullah Turja, Leo Charles Peek Zsembik, Martin Styner, Guorong Wu, “Joint Identification of Network Hub Nodes by Multivari-ate Graph Inference”, International Conference on Medical Image Computing and Comput-er-Assisted Intervention, 2019.
[101] Yuchen Guo, Guiguang Ding, Jungong Han, Chenggang Yan, Jiyong Zhang, Qionghai Dai, “Landmark Selection for Zero-shot Learning”, International Joint Conference on Artificial Intelli-gence, 2019
[102] Zunjie Zhu, Feng Xu, Chenggang Yan, Xinhong Hao, Xiangyang Ji, Yongdong Zhang, Qionghai Dai, “Real-time Indoor Scene Reconstruction with RGBD and Inertial Input”, International Con-ference on Multimedia and Expo, 2019.
[103] Hongfa Wen, Xin Liu, Chenggang Yan, Linhua Jiang, Yaoqi Sun, Jiyong Zhang, Haibin Yin, “Leveraging Multiple Implicit Feedback for Personalized Recommendation with Neural Network”, International Conference on Artificial Intelligence and Advanced Manufacturing, 2019.
[104] Tao He, Xiaoming Jin, Guiguang Ding, Lan Yi, Chenggang Yan, “Towards Better Uncertainty Sampling: Active Learning with Multiple Views for Deep Convolutional Neural Network”, Interna-tional Conference on Multimedia and Expo, 2019.
[105] Fan Ma, Haoyun Yang, Haibing Yin, Xiaofeng Huang, Chenggang Yan, Xiang Meng, “Online Learning to Rank in A Listwise Approach for Information Retrieval”, AAAI Conference on Artifi-cial Intelligence, 2019.
[106] Xinchen Liu, Wu Liu, Meng Zhang, Jingwen Chen, Lianli Gao, Chenggang Yan, Tao Mei, Social Relation Recognition from Videos via Multi-scale Spatial-Temporal Reasoning, IEEE/CVF Con-ference on Computer Vision and Pattern Recognition, 2019.
[107] Xiaohan Ding, Guiguang Ding, Yuchen Guo, Jungong Han, Chenggang Yan, “Approximated Oracle Filter Pruning for Destructive CNN Width Optimization”, International Conference on Ma-chine Learning, 2019.
[108] Xin Zhao, Liufang Sang, Guiguang Ding, Jungong Han, Na Di, Chenggang Yan, “Recurrent At-tention Model for Pedestrian Attribute Recognition”, AAAI Conference on Artificial Intelligence, 2019.
[109] Yuchen Guo, Guiguang Ding, Jungong Han, Xiaohan Ding, Sicheng Zhao, Zheng Wang, Cheng-gang Yan, Qionghai Dai, “Dual-view Ranking with Hardness Assessment for Zero-shot Learning”, AAAI Conference on Artificial Intelligence, 2019.
[110] Liang Li, Chenggang Yan, Xing Chen, Shuqiang Jiang, Seungmin Rho, Jian Yin, Baochen Jiang, Qingming Huang, “Large Scale Image Understanding with Non-convex Multi-task Learning”, In-ternational Conference on Game Theory for Networks, 2014. (Best Paper Award) (EI)
[111] Chaosheng Han, Xing Lin, Jingyu Lin, Chenggang Yan, Qionghai Dai, “Explore spatial-temporal relations: transient super-resolution with PMD sensors”, SPIE/COS Photonics Asia Conference 9273, 2014. (Best Paper Award, 1/138) (EI)
[112] Binbin Lv, Jiamin Wu, Chenggang Yan, Xinhong Hao, Guiguang Ding, Yongdong Zhang and Qionghai Dai, “Compressive Hyperspectral Imaging Mask Optimization”, International Confer-ence on Internet Multimedia Computing and Service(ICIMCS) 2018. (Best Paper Award, 2/126) (EI)
[113] Lulu Sun, Yongbing Zhang, Chenggang Yan, Xinhong Hao, Ze Cui, Xiangyang Ji, Yongdong Zhang, Qionghai Dai, “Image Denoising with Local Dense and Adaptive Global Residual Net-works”, Pacific-Rim Conference on Multimedia, 2018. (Best Paper Award, 1/450+) (EI)
[114] Chenggang Yan, Feng Dai, Yongdong Zhang, Yike Ma, Licheng Chen, Lingjun Fan, Yasong Zheng, “Parallel Deblocking Filter for H.264/AVC implemented on Tile64 Platform”, International Conference on Multimedia and Expo, 2011. (Best Paper Award - Honorable Mention, 22/744) (EI)
[115] Yunbin Tu, Xishan Zhang, Bingtao Liu and Chenggang Yan, “Video Description with Spa-tial-Temporal Attention”, ACM Multimedia, 2017. (Full Paper)(ACM MM 2017 Student Travel Grant Award)
[116] Hehe Fan, Zhongwen Xu, Linchao Zhu, Chenggang Yan, Jianjun Ge, Yi Yang, “Watching a Small Portion could be as Good as Watching All: Towards Efficient Video Classification”, International Joint Conference on Artificial Intelligence, 2018.
[117] Qi Cai, Yingwei Pan, Ting Yao, Chenggang Yan and Tao Mei, “Memory Matching Networks for One-Shot Image Recognition”, IEEE/CVF Conference on Computer Vision and Pattern Recogni-tion, 2018.
[118] Zhenyu Chen, Yiqiang Chen, Xingyu Gao, Shuangquan Wang, Lisha Hu, Chenggang Yan, Nich-olas D. Lane, Chunyan Miao, “Unobtrusive Sensing Incremental Social Contexts Using Fuzzy Class Incremental Learning”, IEEE International Conference on Data Mining, 2015
[119] Chenggang Yan, Yongdong Zhang, Feng Dai and Liang Li, “Highly Parallel Framework for HEVC Motion Estimation on Many-core Platform”, Data Compression Conference, 2013.
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