基本信息

李亮  男  硕导  中国科学院计算技术研究所
电子邮件: liang.li@ict.ac.cn
通信地址: 北京海淀区中关村科学院南路6号计算所
邮政编码: 100190

研究领域

计算机视觉、模式识别、跨媒体智能、多媒体内容分析

招生信息

招收硕士研究生1名

招生专业
081203-计算机应用技术
招生方向
计算机视觉、模式识别、跨媒体智能

教育背景

2008-09--2013-05   中科院计算所   工科博士
2004-09--2008-09   西安交通大学   工科学士

工作经历

   
工作简历
2017-09~现在, 中科院计算所, 副研究员
2016-06~2017-09,中科院计算所, 助理研究员
2013-05~2016-05,中国科学院大学, 博士后
社会兼职
2017-01-01-今,ACM SIGMM China Chapter高校合作联系人,

教授课程

视觉信息学习与分析
模式识别与机器学习
移动数据库

专利与奖励

   
奖励信息
(1) 中科院计算所“百星计划(学术百星), 特等奖, 研究所(学校), 2017
(2) ACM ICIMCS 杰出服务奖, 特等奖, 其他, 2015
(3) 国际会议Gamenets最佳论文奖, 特等奖, 其他, 2014
(4) 中科院院长优秀奖, 一等奖, 院级, 2013

出版信息

   
发表论文
[1] 殷炯, 张哲东, 高宇涵, 杨智文, 李亮, 肖芒, 孙垚棋, 颜成钢. 视觉语言预训练综述. 软件学报[J]. 2023, 34(5): 2000-2023, http://lib.cqvip.com/Qikan/Article/Detail?id=7109592123.
[2] Yunbin Tu, Liang Li, Li Su, Junping Du, Ke Lv, Qingming Huang. Viewpoint-Adaptive Representation Disentanglement Network for Change Captioning. IEEE TRANSACTIONS ON IMAGE PROCESSING[J]. 2023, 32: 2620-2635, https://ieeexplore.ieee.org/document/10108947.
[3] Wang, Hao, Zha, ZhengJun, Li, Liang, Chen, Xuejin, Luo, Jiebo. Semantic and Relation Modulation for Audio-Visual Event Localization. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE[J]. 2023, 45(6): 7711-7725, http://dx.doi.org/10.1109/TPAMI.2022.3226328.
[4] 刘华峰, 陈静静, 李亮, 鲍秉坤, 李泽超, 刘家瑛, 聂礼强. 跨模态表征与生成技术. 中国图象图形学报[J]. 2023, 28(6): 1608-1629, http://lib.cqvip.com/Qikan/Article/Detail?id=7109997893.
[5] Yunbin Tu, Liang Li, Li Su, Ke Lu, 黄庆明. Neighborhood Contrastive Transformer for Change Captioning. IEEE TRANSACTIONS ON MULTIMEDIA[J]. 2023, [6] Shaofei Cai, Liang li, Han, Xinzhe, Qi Tian, 黄庆明. Semantic and Correlation Disentangled Graph Convolutions for Multi-label Image Recognition. IEEE Transactions on Neural Networks and Learning Systems[J]. 2023, [7] Li, Liang, Gao, Xingyu, Deng, Jincan, Tu, Yunbin, Zha, ZhengJun, Huang, Qingming. Long Short-Term Relation Transformer With Global Gating for Video Captioning. IEEE TRANSACTIONS ON IMAGE PROCESSING[J]. 2022, 31: 2726-2738, http://dx.doi.org/10.1109/TIP.2022.3158546.
[8] Yan, Chenggang, Hao, Yiming, Li, Liang, Yin, Jian, Liu, Anan, Mao, Zhendong, Chen, Zhenyu, Gao, Xingyu. Task-Adaptive Attention for Image Captioning. IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY[J]. 2022, 32(1): 43-51, http://dx.doi.org/10.1109/TCSVT.2021.3067449.
[9] Deng, Jincan, Li, Liang, Zhang, Beichen, Wang, Shuhui, Zha, Zhengjun, Huang, Qingming. Syntax-Guided Hierarchical Attention Network for Video Captioning. IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY[J]. 2022, 32(2): 880-892, http://dx.doi.org/10.1109/TCSVT.2021.3063423.
[10] Xiao, Jiayu, Li, Liang, Wang, Chaofei, Zha, ZhengJun, Huang, Qingming. Few Shot Generative Model Adaption via Relaxed Spatial Structural Alignment. IEEE/CVF Conference on Computer Vision and Pattern Recognitionnull. 2022, [11] Li, Liang, Shi, Dian, Zhang, Xinyue, Hou, Ronghui, Yue, Hao, Li, Hui, Pan, Miao. Privacy Preserving Participant Recruitment for Coverage Maximization in Location Aware Mobile Crowdsensing. IEEE TRANSACTIONS ON MOBILE COMPUTING[J]. 2022, 21(9): 3250-3262, http://dx.doi.org/10.1109/TMC.2021.3050147.
[12] 邓锦灿, Li Liang, Zhang Beichen, 王树徽, Zheng-Jun Zha, Huang, Qingming. Syntax-Guided Hierarchical Attention Network for Video Captioning. IEEE Transactions on Circuit System and Video Technology[J]. 2022, 32(2): 880-892, [13] Shaofei Cai, Liang Li, Xinzhe Han, Jiebo Luo, Zhengjun Zha, Qingming Huang. Automatic Relation-aware Graph Network Proliferation. IEEE/CVF Conference on Computer Vision and Pattern Recognitionnull. 2022, [14] Yunbing Tu, Liang Li, Li Su, Shengxiang Gao, Chenggang Yan, Zhengjun Zha, Zhengtao Yu, Qingming Huang. I2Transformer: Intra- and Inter-relation Embedding Transformer for TV Show Captioning. IEEE TRANSACTIONS ON IMAGE PROCESSING[J]. 2022, 31: 2565-3577, https://ieeexplore.ieee.org/document/9738841.
[15] Yang, Shijie, Li, Liang, Wang, Shuhui, Zhang, Weigang, Huang, Qingming, Tian, Qi. Graph Regularized Encoder-Decoder Networks for Image Representation Learning. IEEE TRANSACTIONS ON MULTIMEDIA[J]. 2021, 23: 3124-3136, http://apps.webofknowledge.com/CitedFullRecord.do?product=UA&colName=WOS&SID=5CCFccWmJJRAuMzNPjj&search_mode=CitedFullRecord&isickref=WOS:000698902000014.
[16] Li, Liang, Shi, Dian, Hou, Ronghui, Li, Xuanheng, Wang, Jie, Li, Hui, Pan, Miao. Data-Driven Optimization for Cooperative Edge Service Provisioning With Demand Uncertainty. IEEE INTERNET OF THINGS JOURNAL[J]. 2021, 8(6): 4317-4328, http://dx.doi.org/10.1109/JIOT.2020.3028242.
[17] Liu, Xuejing, Li, Liang, Wang, Shuhui, Zha, ZhengJun, Huang, Qingming. Local-binarized very deep residual network for visual categorization. NEUROCOMPUTING[J]. 2021, 430: 82-93, http://dx.doi.org/10.1016/j.neucom.2020.11.041.
[18] 黄庆明, 王树徽, 许倩倩, 李亮, 蒋树强. 以图像视频为中心的跨媒体分析与推理. 智能系统学报[J]. 2021, 16(5): 835-848, http://lib.cqvip.com/Qikan/Article/Detail?id=7106020823.
[19] Wang, Chaoyi, Li, Liang, Yan, Chenggang, Wang, Zhan, Sun, Yaoqi, Zhang, Jiyong. Cross-modal semantic correlation learning by Bi-CNN network. IET IMAGE PROCESSING[J]. 2021, 15(14): 3674-3684, https://doaj.org/article/63c3d119128048deb09c7f15c31adc7e.
[20] Li Liang. A Hierarchical CNN-RNN Approach for Visual Emotion Classificatio. ACM Transactions on Multimedia Computing, Communications and Applications. 2020, [21] Zhang Beichen, Li Liang, Yang Shijie, Wang Shuhui, Zheng-Jun Zha, Huang, Qingming. State-relabling adversarial active learning. CVPR(CCF-A, oral)null. 2020, [22] Wang, Shuhui, Hu, Ling, Li, Liang, Zhang, Weigang, Huang, Qingming. Two-stream deep sparse network for accurate and efficient image restoration. COMPUTER VISION AND IMAGE UNDERSTANDING[J]. 2020, 200: http://dx.doi.org/10.1016/j.cviu.2020.103029.
[23] Cui, Shuhao, 王树徽, Zhuo, Junbao, Li Liang, Huang Qingming, Tian Qi. Towards discriminability and diversity: batch nuclear-norm maximization on output under label insufficient situations. IEEE CVPRnull. 2020, [24] Cui, Shuhao, Wang, Shuhui, Zhuo, Junbao, Li, Liang, Huang, Qingming, Tian, Qi, IEEE. Towards Discriminability and Diversity: Batch Nuclear-norm Maximization under Label Insufficient Situations. 2020 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR)null. 2020, 3940-3949, [25] Li Liang. A structured latent variable recurrent network with stochastic attention for generating Weibo comments. IJCAI. 2020, [26] Meng Dechao, Li Liang, Liu Xuejing, Li Yadong, Yang Shijie, Zha Zhengjun, Gao Xingyu, Wang Shuhui, Huang Qingming. Parsing-based View-aware Embedding Network for Vehicle Re-Identification. 2020, http://arxiv.org/abs/2004.05021.
[27] Zhang Beichen, Li Liang, Yang Shijie, Wang Shuhui, Zha ZhengJun, Huang Qingming. State-Relabeling Adversarial Active Learning. 2020, http://arxiv.org/abs/2004.04943.
[28] Huang Yukun, Zha ZhengJun, Fu Xueyang, Hong Richang, Li Liang. Real-world Person Re-Identification via Degradation Invariance Learning. 2020, http://arxiv.org/abs/2004.04933.
[29] Zhang, Yu, Gao, Xingyu, Chen, Zhenyu, Zhong, Huicai, Li, Liang, Yan, Chenggang, Shen, Tao. Learning salient features to prevent model drift for correlation tracking. NEUROCOMPUTING[J]. 2020, 418: 1-10, http://dx.doi.org/10.1016/j.neucom.2019.12.006.
[30] Sun, Jiayi, Li, Liang, Li, Wenchao, Zhang, Jiyong, Yan, Chenggang. Enabling 5G: sentimental image dominant graph topic model for cross-modality topic detection. WIRELESS NETWORKS[J]. 2020, 26(3): 1549-1561, http://dx.doi.org/10.1007/s11276-019-02009-3.
[31] Zhang, Peng, Su, Li, Li, Liang, Bao, BingKun, Cosman, Pamela, Li, GuoRong, Huang, Qingming, ACM. Training Efficient Saliency Prediction Models with Knowledge Distillation. PROCEEDINGS OF THE 27TH ACM INTERNATIONAL CONFERENCE ON MULTIMEDIA (MM'19)null. 2019, 512-520, http://dx.doi.org/10.1145/3343031.3351089.
[32] Li, Liang, Zhu, Xinge, Hao, Yiming, Wang, Shuhui, Gao, Xingyu, Huang, Qingming. A Hierarchical CNN-RNN Approach for Visual Emotion Classification. ACM TRANSACTIONS ON MULTIMEDIA COMPUTING COMMUNICATIONS AND APPLICATIONS[J]. 2019, 15(3): https://www.webofscience.com/wos/woscc/full-record/WOS:000535718800013.
[33] Yan, Chenggang, Li, Liang, Zhang, Chunjie, Liu, Bingtao, Zhang, Yongdong, Dai, Qionghai. Cross-Modality Bridging and Knowledge Transferring for Image Understanding. IEEE TRANSACTIONS ON MULTIMEDIA[J]. 2019, 21(10): 2675-2685, http://dx.doi.org/10.1109/TMM.2019.2903448.
[34] Yang, Shijie, Li, Liang, Wang, Shuhui, Zhang, Weigang, Huang, Qingming, Tian, Qi. SkeletonNet: A Hybrid Network With a Skeleton-Embedding Process for Multi-View Image Representation Learning. IEEE TRANSACTIONS ON MULTIMEDIA[J]. 2019, 21(11): 2916-2929, http://dx.doi.org/10.1109/TMM.2019.2912735.
[35] Li Liang. SRN: Structured Stochastic Recurrent Network for Linguistic Video Prediction. ACM MM. 2019, [36] Liu Xuejing, Li Liang, Wang Shuhui, Zha ZhengJun, Meng Dechao, Huang Qingming. Adaptive Reconstruction Network for Weakly Supervised Referring Expression Grounding. 2019, http://arxiv.org/abs/1908.10568.
[37] Liu Xuejing, Li Liang, Wang Shuhui, Zha ZhengJun, Su Li, Huang Qingming. Knowledge-guided Pairwise Reconstruction Network for Weakly Supervised Referring Expression Grounding. 2019, http://arxiv.org/abs/1909.02860.
[38] Xin Yongjian, Wang Shuhui, Li Liang, Zhang Weigang, Huang Qingming, Jawahar CV, Li H, Mori G, Schindler K. Reverse Densely Connected Feature Pyramid Network for Object Detection. COMPUTER VISION - ACCV 2018, PT Vnull. 2019, 11365: 530-545, [39] Liu, Xuejing, Li, Liang, Wang, Shuhui, Zha, ZhengJun, Su, Li, Huang, Qingming, ACM. Knowledge-guided Pairwise Reconstruction Network for Weakly Supervised Referring Expression Grounding. PROCEEDINGS OF THE 27TH ACM INTERNATIONAL CONFERENCE ON MULTIMEDIA (MM'19)null. 2019, 539-547, http://dx.doi.org/10.1145/3343031.3351074.
[40] Yang, Shijie, Li, Liang, Wang, Shuhui, Meng, Dechao, Huang, Qingming, Tian, Qi, ACM. Structured Stochastic Recurrent Network for Linguistic Video Prediction. PROCEEDINGS OF THE 27TH ACM INTERNATIONAL CONFERENCE ON MULTIMEDIA (MM'19)null. 2019, 21-29, http://dx.doi.org/10.1145/3343031.3350859.
[41] Sun, Yaoqi, Li, Liang, Zheng, Liang, Hu, Ji, Li, Wenchao, Jiang, Yatong, Yan, Chenggang. Image classification base on PCA of multi-view deep representation. JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION[J]. 2019, 62: 253-258, http://dx.doi.org/10.1016/j.jvcir.2019.05.016.
[42] Hu Ling, Wang Shuhui, Li Liang, Huang Qingming, Baozong Y, Qiuqi R, Yao Z, Gaoyun AN. How Functions Evolve in Deep Convolutional Neural Network. PROCEEDINGS OF 2018 14TH IEEE INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING (ICSP)null. 2018, 1133-1138, [43] Zhang, Chunjie, Cheng, Jian, Li, Liang, Li, Changsheng, Tian, Qi. Object Categorization Using Class-Specific Representations. IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS[J]. 2018, 29(9): 4528-4534, https://www.webofscience.com/wos/woscc/full-record/WOS:000443083700052.
[44] Li Liang, Wang Shuhui, Jiang Shuqiang, Huang Qingming, ACM. Attentive Recurrent Neural Network for Weak-supervised Multi-label Image Classification. PROCEEDINGS OF THE 2018 ACM MULTIMEDIA CONFERENCE (MM'18)null. 2018, 1092-1100, http://dx.doi.org/10.1145/3240508.3240649.
[45] Chen, Yangyu, Zhang, Weigang, Wang, Shuhui, Li, Liang, Huang, Qingming, IEEE. Saliency-Based Spatiotemporal Attention for Video Captioning. 2018 IEEE FOURTH INTERNATIONAL CONFERENCE ON MULTIMEDIA BIG DATA (BIGMM)null. 2018, http://apps.webofknowledge.com/CitedFullRecord.do?product=UA&colName=WOS&SID=5CCFccWmJJRAuMzNPjj&search_mode=CitedFullRecord&isickref=WOS:000630423400053.
[46] Pang, Junbiao, Tao, Fei, Li, Liang, Huang, Qingming, Yin, Baocai, Tian, Qi. A two-step approach to describing web topics via probable keywords and prototype images from background-removed similarities. NEUROCOMPUTING[J]. 2018, 275: 478-487, http://dx.doi.org/10.1016/j.neucom.2017.08.057.
[47] Li Liang. Cross-media Retrieval with Semantic Clustering and Enhancement. IEEE ICME. 2017, [48] Li Liang. voPass: evolvable graphical password against shoulder-surfing attacks. Computers&Security. 2017, [49] Li, Liang, Huang, Zi, Zha, ZhengJun, Jiang, Shuqiang. Guest Editorial: Knowledge-Based Multimedia Computing. MULTIMEDIA TOOLS AND APPLICATIONSnull. 2017, 76(23): 24955-24959, https://www.webofscience.com/wos/woscc/full-record/WOS:000416548300021.
[50] Yang Shijie, Li Liang, Wang Shuhui, Zhang Weigang, Huang Qingming, IEEE. Multi-view Subspace Learning with Diversity Enforced Skeleton Embedding. 2017 IEEE THIRD INTERNATIONAL CONFERENCE ON MULTIMEDIA BIG DATA (BIGMM 2017)null. 2017, 121-128, http://dx.doi.org/10.1109/BigMM.2017.33.
[51] Zhan Minfeng, Li Liang, Huang Qingming, Liu Yugui, IEEE. CROSS-MEDIA RETRIEVAL WITH SEMANTICS CLUSTERING AND ENHANCEMENT. 2017 IEEE INTERNATIONAL CONFERENCE ON MULTIMEDIA AND EXPO (ICME)null. 2017, 1398-1403, [52] Yu, Hongyang, Qin, Lei, Huang, Qingming, Yao, Hongxun, Li, Liang, IEEE. ONLINE MULTI-TARGET TRACKING VIA DEPTH RANGE SEGMENTATION. 2017 IEEE GLOBAL CONFERENCE ON SIGNAL AND INFORMATION PROCESSING (GLOBALSIP 2017)null. 2017, 691-695, [53] Lv, Binbin, Li, Liang, Yan, Chenggang. Three-dimensional laser scanning under the pinhole camera with lens distortion. MACHINE VISION AND APPLICATIONS[J]. 2017, 28(7): 737-742, https://www.webofscience.com/wos/woscc/full-record/WOS:000412487500007.
[54] Zhu, Zunjie, Yan, Chenggang, Li, Liang, Ren, Yongning, Luo, Qiqi, Li, Jun, IEEE. STEREOSCOPIC VISUALIZATION OF 3D MODEL USING OPENGL. 2017 IEEE GLOBAL CONFERENCE ON SIGNAL AND INFORMATION PROCESSING (GLOBALSIP 2017)null. 2017, 1359-1362, [55] Li Liang. Dependency Exploitation: A Unified CNN-RNN Approach for Visual Emotion Recognition. IJCAI. 2017, [56] Yang, Shijie, Li, Liang, Wang, Shuhui, Zhang, Weigang, Huang, Qingming, IEEE. A Graph Regularized Deep Neural Network for Unsupervised Image Representation Learning. 30TH IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR 2017)null. 2017, 7053-7061, [57] Zhang, Chunjie, Liang, Chao, Li, Liang, Liu, Jing, Huang, Qingming, Tian, Qi. Fine-Grained Image Classification via Low-Rank Sparse Coding With General and Class-Specific Codebooks. IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS[J]. 2017, 28(7): 1550-1559, https://www.webofscience.com/wos/woscc/full-record/WOS:000404048300006.
[58] Li Liang. 3D Laser Scanning under the Pin-hole Camera with Lens Distortion. MVA. 2017, [59] Jiang, Jiyang, Li, Yafei, Xu, Shuang, Zhang, Xin, Yan, Chenggang, Li, Liang, IEEE. .A PANORAMIC SURVEY METHOD BASED ON GESTURE RECOGNITION. 2017 IEEE GLOBAL CONFERENCE ON SIGNAL AND INFORMATION PROCESSING (GLOBALSIP 2017)null. 2017, 677-681, [60] Li, Ning, Yan, Chenggang, Xu, Feng, Li, Liang, Zhu, Zunjie, Shao, Biyao, Gong, Bingjian, IEEE. VIRTUAL REALITY REALIZATION TECHNOLOGY AND ITS APPLICATION BASED ON AUGMENTED REALITY. 2017 IEEE GLOBAL CONFERENCE ON SIGNAL AND INFORMATION PROCESSING (GLOBALSIP 2017)null. 2017, 1383-1387, [61] Li, Liang, Yan, Chenggang Clarence, Chen, Xing, Zhang, Chunjie, Yin, Jian, Jiang, Baochen, Huang, Qingming. Distributed image understanding with semantic dictionary and semantic expansion. NEUROCOMPUTING[J]. 2016, 174(174): 384-392, http://dx.doi.org/10.1016/j.neucom.2015.04.108.
[62] Tao, Fei, Pang, Junbiao, Zhang, Chunjie, Li, Liang, Su, Li, Zhang, Weigang, Huang, Qingming, Su, Guiping, IEEE. ROBUST LATENT POISSON DECONVOLUTION FROM MULTIPLE IMPERFECT FEATURES FOR WEB TOPIC DETECTION. 2016 IEEE INTERNATIONAL CONFERENCE ON MULTIMEDIA & EXPO (ICME)null. 2016, [63] Ma, Hongrun, Li, Liang, Liang, Yongquan, Chen, Junpeng, Yin, Jian. Efficient virtual network transmission using correlated equilibrium on Xen-based platform. JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION[J]. 2016, 35: 248-256, http://dx.doi.org/10.1016/j.jvcir.2015.12.002.
[64] Zhang, Chunjie, Zhu, Xiaobin, Li, Liang, Zhang, Yifan, Liu, Jing, Huang, Qingming, Tian, Qi. Joint image representation and classification in random semantic spaces. NEUROCOMPUTING[J]. 2015, 156: 79-85, http://dx.doi.org/10.1016/j.neucom.2014.12.083.
[65] Wang Zhiyi, Li Liang, Huang Qingming, ACM. Cross-media Topic Detection with Refined CNN based Image-Dominant Topic Model. MM'15: PROCEEDINGS OF THE 2015 ACM MULTIMEDIA CONFERENCEnull. 2015, 1171-1174, http://dx.doi.org/10.1145/2733373.2806309.
[66] Li, Liang, Liu, Hong, Wang, Hao, Liu, Taoying, Li, Wei. A Parallel Algorithm for Game Tree Search Using GPGPU. IEEETRANSACTIONSONPARALLELANDDISTRIBUTEDSYSTEMS[J]. 2015, 26(8): 2114-2127, https://www.webofscience.com/wos/woscc/full-record/WOS:000358226400004.
[67] Yan, Chenggang, Zhang, Yongdong, Dai, Feng, Wang, Xi, Li, Liang, Dai, Qionghai. Parallel deblocking filter for HEVC on many-core processor. ELECTRONICS LETTERS[J]. 2014, 50(5): 367-+, https://www.webofscience.com/wos/woscc/full-record/WOS:000333395500023.
[68] Li Liang, Tang Dixin, Liu Taoying, Liu Hong, Li Wei, Cui Chenzhou, IEEE. Optimizing the Join Operation on Hive to Accelerate Cross-Matching in Astronomy. PROCEEDINGS OF 2014 IEEE INTERNATIONAL PARALLEL & DISTRIBUTED PROCESSING SYMPOSIUM WORKSHOPS (IPDPSW)null. 2014, 1735-1745, http://dx.doi.org/10.1109/IPDPSW.2014.193.
[69] Yan, Chenggang, Zhang, Yongdong, Xu, Jizheng, Dai, Feng, Li, Liang, Dai, Qionghai, Wu, Feng. A Highly Parallel Framework for HEVC Coding Unit Partitioning Tree Decision on Many-core Processors. IEEE SIGNAL PROCESSING LETTERS[J]. 2014, 21(5): 573-576, https://www.webofscience.com/wos/woscc/full-record/WOS:000333365100004.
[70] Li, Liang, Jiang, Shuqiang, Zha, ZhengJun, Wu, Zhipeng, Huang, Qingming. Partial-Duplicate Image Retrieval via Saliency-Guided Visual Matching. IEEE MULTIMEDIA[J]. 2013, 20(3): 13-23, https://www.webofscience.com/wos/woscc/full-record/WOS:000323193400004.
[71] Li, Liang, Jiang, Shuqiang, Huang, Qingming. Learning Hierarchical Semantic Description Via Mixed-Norm Regularization for Image Understanding. IEEE TRANSACTIONS ON MULTIMEDIA[J]. 2012, 14(5): 1401-1413, http://dx.doi.org/10.1109/TMM.2012.2194993.
[72] Li Liang, Liu Hong, Liu Peiyu, Liu Taoying, Li Wei, Wang Hao, IEEE. A Node-based Parallel Game Tree Algorithm Using GPUs. 2012 IEEE INTERNATIONAL CONFERENCE ON CLUSTER COMPUTING (CLUSTER)null. 2012, 18-26, 
发表著作
(1) 《CUDA C编程权威指南》, 机械工业出版社, 2017-06, 第 2 作者
(2) 网络多媒体的高级图像检索技术, 科学出版社, 2017-06, 第 2 作者

科研活动

   
科研项目
( 1 ) 基于混合范式正则化的海量图像理解方法, 主持, 研究所(学校), 2013-09--2015-12
( 2 ) 基于深度学习和多任务稀疏特征的海量图像理解方法, 主持, 研究所(学校), 2014-01--2015-12
( 3 ) 基于多任务稀疏特征学习的海量图像理解方法研究, 主持, 国家级, 2015-01--2017-12
( 4 ) 面向高层语义的跨媒体特征表达机制研究, 主持, 国家级, 2018-01--2021-12
( 5 ) 面向大数据环境的高通量视觉计算, 主持, 国家级, 2018-01--2022-12