导师个人信息 - 电子科大研招网

计算机科学与工程学院（网络空间安全学院）

导师代码：	11709
导师姓名：	高联丽
性别：	女
特称：
职称：	教授
学位：	工学博士学位
属性：	专职
电子邮件：	lianli.gao@uestc.edu.cn

学术经历：

教育经历：
2010/03-2014/01 澳大利亚昆士兰大学，电子技术与电气工程学院，博士
2005/09-2009/06 电子科技大学，计算机科学与工程学院，本科
工作经历：
2014/02-2019/11，电子科技大学，计算机科学与工程学院，副教授
2019/11-现在，电子科技大学，计算机科学与工程学院，教授

个人简介：

高联丽教授主要研究领域为多媒体、机器学习与自然语言处理，专注于融合自然语言与知识的视觉内容理解方面的开放性问题。迄今为止，在人工智能领域重要国际期刊和国际会议发表高水平论文90余篇，主要发表在IEEE T-PAMI、TIP、TOC、 TNNLS、TOC、IJCV、CVPR、ICCV、MM、 AAAI等中科院JCR一区期刊和CCF A类期刊或会议上，多篇论文入选ESI高被引论文。在视觉语义信息的协同表征、视觉与自然语言的关联性分析、融合自然语言的视觉认知场景等方面上取得一系列创新性研究成果，得到国内外同行的广泛认可。主持多项国家级和省部级科研项目，如主持国家自然科学基金青年、面上、优青项目、霍英东青年教师基金、之江实验室开放课题等，主研科技部科技创新2030 -“新一代人工智能”重大项目等。此外，在AI竞赛方面，参与或指导学生获得ADC最佳学生论文奖，获全球ICCV 2019年人体稠密姿态估计亚军，获全球 ICCV 2021年深度动作Track3 季军，获全球CVPR 2021年AI挑战赛冠军，获OPPO 2021安全挑战赛亚军和季军。获2018、2019年连续两年获评电子科技大学优秀奖、获2018-2019年度先进女教职工奖。2020年获四川省“三八”红旗手称号。2020年获第十三批四川省学术和技术带头人后备人选。

科研项目：

国家自然科学基金青年项目：基于深度学习和事件驱动的视频聚合研究，2015；
国家自然科学基金面上项目：融合自然语言处理的深度视觉理解关键技术研究，2018；
国家自然科学基金优秀青年科学基金项目：融合自然语言的视觉认知，2021。

研究成果：

论文成果：
2021
[1] Guo, Yuyu, Lianli Gao, Song, Jingkuan , Wang, Peng , Sebe, Nicu , Shen, Heng Tao , Li, Xuelong. Relation Regularized Scene Graph Generation. IEEE Transactions on Cybernetics. 1-12 (2021)(JCR-1)
[2] Lirong Wu, Kejie Huang, Haibin Shen, Lianli Gao.Foreground-Background Parallel Compression With Residual Encoding for Surveillance Video. IEEE Trans. Circuits Syst. Video Tech. nol. 31(7): 2711-2724 (2021) (JCR-2)
[3] Lianli Gao , Yaya Cheng, Qilong Zhang, Xing Xu, Jingkuan Song: Feature Space Targeted Attacks by Statistic Alignment. IJCAI 2021: 671-67. (CCF-A)
[4] Sitong Su, Jingkuan Song, Lianli Gao , Junchen Zhu: Towards Unsupervised Deformable-Instances Image-to-Image Translation. IJCAI 2021:<1004-1010. (CCF-A)
[5] Yiran Zhu, Xing Xu, Fumin Shen, Yanli Ji, Lianli Gao, Heng Tao Shen. PoseGTAC: Graph Transformer Encoder-Decoder with Atrous Convolution for 3D Human Pose Estimation. IJCAI 2021. (CCF-A)
[6] Lianli Gao, Daiyuan Chen, Zhou Zhao, Jie Shao, Heng Tao Shen. Lightweight dynamic conditional GAN with pyramid attention for text-to-image synthesis. Pattern Recognition 2021.
[7] Yan Dai, Xuanhan Wang, Jingkuan Song, Lianli Gao, Heng Tao Shen. RSGNet: Relation Based Skeleton Graph Network for Crowded Scenes Pose Estimation. AAAI 2021. (CCF A)
[8] Dongyang Zhang, Jie Shao, Zhenwen Liang, Lianli Gao, and Heng Tao Shen. Large Factor Image Super-Resolution with Cascaded Convolutional Neural Networks. IEEE Transactions on Multimedia (TMM), 2020.
2020
[9] Lianli Gao, Tao Li, Jingkuan Song*, Zhou Zhao, Heng Tao Sheng. Play and rewind: Context-aware video temporal action proposals, Pattern Recongition 2020.
[10] Jipeng Zhang, Jie Shao, Rui Cao, Lianli Gao, Xing Xu, Heng Tao Shen. Action-Centric Relation Transformer Network for Video Question Answering. IEEE Transactions on Circuits and Systems for Video Technology 2020.
[11] Lirong Wu, Kejie Huang, Haibin Shen, Lianli Gao, Xing Xu, Heng Tao Shen. Foreground-background Parallel Compression with Residual Encoding for Surveillance Video. IEEE Transactions on Circuits and Systems for Video Technology 2020.
[12] Liyang Zhang, Shuaicheng Liu, Donghao Liu, Pengpeng Zeng, Xiangpeng Li, Jingkuan Song, Lianli Gao. Rich Visual Knowledge-Based Augmentation Network for Visual Question Answering. IEEE Transactions on Neural Networks and Learning Systems 2020.
[13] Yuyu Guo, Jingkuan Song*, Lianli Gao, Heng Tao Shen. One-shot Scene Graph Generation. ACM MM 2020. (CCF A)
[14] Xuanhan Wang, Lianli Gao, Jingkuan Song, Heng Tao Shen. KTN: Knowledge Transfer Network for Multi-person DensePose Estimation. ACM MM 2020. (CCF A)
[15] Lianli Gao, Junchen Zhu, Jingkuan Song*, Feng Zheng, Heng Tao Shen. Lab2Pix: Label-Adaptive Generative Adversarial Network for Unsupervised Image Synthesis. ACM MM 2020.(CCF A)
[16] Yifeng Zhou, Xing Xu*, Fumin Shen, Lianli Gao, Huimin Lu, Heng Tao Shen. Temporal Denoising Mask Synthesis Network for Learning Blind Video Temporal Consistency. ACM MM 2020. (CCF A)
[17] Lianli Gao, QilongZhang, Jingkuan Song, Xianglong Liu and Heng Tao Shen. Patch-wise Attach for Fooling Deep Neural Network. ECCV 2020. (CCF A)
[18] Jingkuan Song, Ruimin Lang, Xiaosu Zhu, Xing Xu, Lianli Gao* and Heng Tao Shen. 3D Self-Attention for Unsupervised Video Quantization. Special Interest Group on Information Retrieval (SIGIR), 2020. (CCF A)
[19] Lianli Gao, Xiangpeng Li, Jingkuan Song* and Heng Tao Shen*. Hierarchical LSTMs with Adaptive Attention for Visual Captioning. IEEE Trans. on Pattern Analysis and Machine Intelligence (TPAMI), 2020. JCR-1, (CCF A)
[20] Lianli Gao, Daiyuan Chen, Zhou Zhao, Jie Shao, Heng Tao Shen*. Lightweight Dynamic Conditional GAN with Pyramid Attention for Text-to-Image Synthesi, Pattern Recognition (PR) 2020.
[21] Xing Xu, Kaiyi Lin, Huimin Lu, Lianli Gao and Heng Tao Shen. Correlated Features Synthesis and Alignment for Zero-shot Cross-modal Retrieval. SIGIR 2020. (CCF A)
[22] Lianli Gao, Zhilong Zhou, Heng Tao Shen, Jingkuan Song. Bottom-up and Top-down: Bidirectional Additive Net for Edge Detection. IJCAI 2020. (CCF A)
[23] Yanzhao Xie, Yu Liu, Yangtao Wang, Lianli Gao, Peng Wang, ke zhou. Label-Attended Hashing for Multi-Label Image Retrieval. IJCAI 2020. (CCF A)
[24] He Tao, Lianli Gao, Jingkuan Song, Jianfei Cai , Yuan-Fang Li. Learning from the Scene and Borrowing from the Rich: Tackling the Long Tail in Scene Graph Generation. IJCAI 2020. (CCF-A)
[25] Xing Xu, Jiefu Chen, Jinhui Xiao, Lianli Gao, Fumin Shen, Heng Tao shen*. “What Machines See Is Not What They Get: Fooling Scene Text Recognition Models with Adversarial Text Images”. In Proceedings of 33rd IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020. (CCF A)
[26] Zhu Zhang, Zhou Zhao, Yang Zhao, Qi Wang, Huasheng Liu, Lianli Gao. "Where Does It Exist: Spatio-Temporal Video Grounding for Multi-Form Sentences". IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020. (CCF A)
[27] Tao He*, Lianli Gao, Jingkuan Song, Xin Wang, Kejie Huang, Yufang Li. "SNEQ: Semi-supervised Attributed Network Embedding with Attention-based Quantisation". AAAI 2020. (CCF A)
[28] Tao He, Lianli Gao, Jingkuan Song, Jianfei Cai, Yuan-Fang Li. Learning from the Scene and Borrowing from the Rich: Tackling the Long Tail in Scene Graph Generation. IJCAI 2020. (CCF A)
[29] Kaiyi Lin, Xing Xu*, Lianli Gao, Zheng Wang and Heng Tao Shen. “Learning Cross-Aligned Latent Embeddings for Zero-Shot Cross-Modal Retrieval”. The Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI 2020). (CCF A)
[30] Xing Xu, Kaiyi Lin, Lianli Gao, Huimin Lu, Heng Tao Shen*, Xuelong Li. “Learning Cross-Modal Common Representations by Private-Shared Subspaces Separation”. IEEE Transactions on Cybernetics (TOC), 2020. (JCR-1)
[31] Jingkuan Song, Tao He, Lianli Gao*, Xing Xu, Alan Hanjalic, Heng Tao Shen*. “Unified Binary Generative Adversarial Network for Image Retrieval and Compression”. International Journal of Computer Vision (IJCV), 2020. (CCF A, JCR-1)
[32] Ke Zhou, Yangtao Wang, Yu Liu, Yujuan Yang, Yifei Liu, Guoliang Li, Lianli Gao, Zhili Xiao. A framework for image dark data assessment. World Wide Web 2020.
2019
[33] Yuyu Guo, Lianli Gao*, Jingkuan Song, Peng Wang, Wuyuan Xie and Heng Tao Shen, Adaptive Multi-Path Aggregation for Human DensePose Estimation in The Wild, ACM Multimedia 2019. (CCF A)
[34] Xiangpeng Li, Lianli Gao*, Xuanhan Wang, Wu Liu, Xing Xu, Jingkuan Song and Heng Tao Shen, Learnable Aggregating Net with Divergent Loss for Video Question Answering, ACM Multimedia 2019. (CCF A)
[35] Yong-Bin Kang, Shonali Krishnaswamy, Wudhichart Sawangphol, Lianli Gao, Yuan-Fang Li. Understanding and Improving Ontology Reasoning Efficiency through Learning and Ranking. Information System. 2019.
[36] Lianli Gao, Xiaosu Zhu, Jingkuan Song , Zhou Zhao, Heng Tao Shen. Beyond Product Quantization: Deep Progressive Quantization for Image Retrieval, IJCAI 2019. (CCF A)
[37] Liang Chen, Yang Liu, Xiangnan He, Lianli Gao, Zibin Zheng. Matching User with Item Set: Collaborative Bundle Recommendation with Attention Network, IJCAI 2019. (CCF A)
[38] Jingkuan Song, Xiaosu Zhu, Lianli Gao, Xin-Shun Xu, Wu Liu, Heng Tao Shen. Deep Recurrent Quantization for Generating Sequential Binary Codes, IJCAI 2019. (CCF A)
[39] Tao He, Yuan-Fang Li, Lianli Gao, Dongxiang Zhang, Jingkuan Song. One Network for Multi-Domains: Domain Adaptive Hashing with Intersectant Generative Adversarial Networks, IJCAI 2019. (CCF A)
[40] Vishwajeet Kumar, Yuncheng Hua, Guilin Qi, Ganesh Ramakrishnan, Lianli Gao and Yuan-Fang Li. Difficulty-controllable Multi-hop Question Generation From Knowledge Graphs. ISWC 2019.
[41] Xinchen Liu, Wu Liu, Meng Zhang, Jingwen Chen, Lianli Gao, Chenggang Yan and Tao Mei. Social Relation Recognition from Videos via Multi-scale Spatial-Temporal Reasoning. CVPR 2019. (CCF A)
[42] Peng Wang, Qi Wu, Jiewei Cao, Chunhua Shen, Lianli Gao, Anton van den Hengel. Neighbourhood Watch: Referring Expression Comprehension via Language-guided Graph Attention Networks. CVPR, 2019. (CCF A)
[43] Lianli Gao, Kaixuan Fan, Jingkuan Song*, Xianglong Liu, Xing Xu, Heng Tao Shen, Deliberate Residual based Attention Network for Image Captioning, AAAI 2019. (CCF A)
[44] Lianli Gao, Daiyuan Chen, Jingkuan Song*, XingXu, Dongxiang Zhang, Heng Tao Shen, Perceptual Pyramid Adversarial Networks for Text-to-Image Synthesis, AAAI 2019. (CCF A)
[45] Xiangpeng Li, Lianli Gao*, Xianglong Liu, Wenbing Huang, Chuang Gan, Xiangnan He, Beyond RNNs: Positional Self-Attention with Co-Attention for Video Question Answering, AAAI 2019. (Oral). (CCF A)
[46] Lianli Gao, Pengpeng Zeng, Jingkuan Song*, Yuan-Fang Li, Tao Mei, Heng Tao Shen, Structured Two-stream Attention Network for Video Question Answering, AAAI, 2019. (CCF A)
[47] Lei Wang, Dongxiang Zhang, Jipeng Zhang, Xing Xu, Lianli Gao, Heng Tao Shen, Template-Based Math Word Problem Solvers with Recursive Neural Networks, AAAI, 2019. (CCF A)
[48] Lianli Gao, Liangfu Cao, Jingkuan Song, Jie Shao, Xing Xu, Question-Led Object Attention for Visual Question Answering, Neurocomputing, 2019.
[49] Xing Xu, Li He, Huimin Lu, Lianli Gao, Yanli Ji: Deep adversarial metric learning for cross-modal retrieval. World Wide Web 22(2): 657-672 (2019).
[50] Xing Xu, Xiang Zhou, Fumin Shen, Lianli Gao, Heng Tao Shen, Xuelong Li. Fusion by Synthesizing: A Multi-View Deep Neural Network for Zero-Shot Recognition, Signal Processing.
[51] Xuanhan Wang, Lianli Gao*. Fused GRU with Semantic-Temporal Attention for Video Captioning, Neurocomputing, 2019.
[52] Wei Han, Christian Sorg, Changgang Zheng, Qinli Yang, Xiaosong Zhang, Arvid Ternblom, Cobbinah B Mawuli, Lianli Gao, Cheng Luo, Dezhong Yao, Tao Li, Sugai Liang, Junming Shao. Low-rank Network Signatures in the Triple Network Separate Schizophrenia and Major Depressive Disorder, NeuroImage: Clinical, 2019.
[53] Zhenwen Liang, Jie Shao, Dongyang Zhang, and Lianli Gao. "Traffic Sign Detection and Recognition based on Pyramidal Convolutional Networks". Neural Computing and Applications, 2019.
[54] Xing Xu, Xiang Zhou, Fumin Shen, Lianli Gao, Heng Tao Shen, Xuelong Li. "Fusion by Synthesizing: A Multi-View Deep Neural Network for Zero-Shot Recognition". SIGNAL PROCESSING, 2019.
2018
[55] Lianli Gao, Zhilong Zhou, Jingkuan Song, Xing Xu, Heng Tao Shen. Cumulative Nets for Edge Detection. ACM MM, 2018. . (CCF A)
[56] Jingkuan Song, Pengpeng Zeng, Lianli Gao*, Xianglong Liu, Heng Tao Shen. Examine before You Answer: Multi-task Learning with Adaptive-attentions for Multiple-choice VQA. ACM MM, 2018. (CCF A)
[57] Jingkuan Song, Yuyu Guo, Lianli Gao*, Xuelong Li, Alan Hanjalic, Heng Tao Shen. From Deterministic to Generative: Multi-Modal Stochastic RNNs for Video Captioning. IEEE Trans. on Neural Network and Learning System (TNNLS), 2018. (JCR-1)
[58] Xuehui Wu, Jie Shao, Lianli Gao, Heng Tao Shen, Unpaired Image-to-Image Translation From Shared Deep Space. ICIP 2018.
[59] Lianli Gao*, Jingkuan Song, Dongxiang Zhang, Heng Tao Shen. Coarse-to-fine Image Co-segmentation with Intra and Inter Rank Constraints. IJCAI 2018. (CCF A)
[60] Jingkuan Song, Pengpeng Zeng, Lianli Gao*, Heng Tao Shen. From Pixels to Objects: Cubic Visual Attention for Visual Question Answering. IJCAI 2018. (CCF A) (CCF A)
[61] Jingkuan Song, Jingqiu Zhang, Lianli Gao*, Xianglong Liu, Heng Tao Shen. Dual Conditional GANs for Face Aging and Rejuvenation. IJCAI 2018. (CCF A)
[62] Jingkuan Song, Hanwang Zhang, Xiangpeng Li, Lianli Gao*, Meng Wang, Richang Hong, Self-Supervised Video Hashing with Hierarchical Binary Auto-encoder. IEEE Transactions on Image Processing (TIP), 2018. (CCF A)
[63] Yuyu Guo, Jingqiu Zhang, Lianli Gao*, Exploiting Long-term Temporal Dynamics for Video Captioning. WWW 2018.
[64] Jingkuan Song, Tao He, Lianli Gao*, Xing Xu, Alan Hajalic, Heng Tao Shen. Binary Generative Adversarial Networks for Image Retrieval. AAAI 2018. (CCF A)
[65] Jingkuan Song, Tao He, Lianli Gao*, Xing Xu, Heng Tao Shen, Deep Region Hashing for Efficient Large-scale Instance Search from Images. AAAI 2018. (CCF A)
[66] Xiangpeng Li, Zhilong Zhou, Lijiang Chen, Lianli Gao*, Residual Attention-based LSTM for Videos Captioning. WWW 2018.
[67] Lei Wang, Dongxiang Zhang, Lianli Gao, Jingkuan Song, Long Guo, Heng Tao Shen, MathDQN: Solving Arithmetic Word Problems via Deep Reinforcement Learning. AAAI 2018. (CCF A)
[68] Liangfu Cao, Lianli Gao*, Xing Xu, Fumin Shen, Yuan Wang, Jingkuan Song, "Multiple Hierarchical Deep Hashing for Large Scale Image Retrieval", Multimedia Tools and Applications (MTAP), 77(9), 10471-10484, 2018.
[69] Junming Shao, Chun Meng, Masoud Tahmasian, Felix Brandl, Qinli Yang, Guangchun Luo, Cheng Luo, Dezhong Yao, Lianli Gao, Valentin Riedl, Wohlschl？ger, Christian Sorg. Common and distinct changes of default mode and salience network in schizophrenia and major depression, Brain Imaging and Behavior, pp.1–12, 2018.
[70] Junming Shao, Yue Tan, Lianli Gao, Qinli Yang, Claudia Plant, Ira Assent. Synchronization-based Clustering on Evolving Data Stream, Information Sciences, 2018.
2017
[71] Xuanhan Wang, Lianli Gao*, Jingkuan Song, Xiantong Zhen, Nice Sebe, Heng Tao Shen. "Deep Appearance and Motion Learning for Egocentric Activity Recognition". Neurocomputing, 2017.
[72] Jie Chen, Jie Shao*, Fumin Shen, Chengkun He, Lianli Gao and Heng Tao Shen. "Movie Fill in the Blank with Adaptive Temporal Attention and Description Update". The 26th ACM International Conference on Information and Knowledge Management (CIKM), 2017.
[73] Dongyang Zhang, Jie Shao*, Gang Hu and Lianli Gao."Sharp and Real Image Super-Resolution Using Generative Adversarial Network". International Conference Neural Information Processing (ICONIP), 2017.
[74] Liangfu Cao, Lianli Gao*, Jingkuan Song, Xing Xu, Heng Tao Shen. "Joint Learning Attentions with Semantic Cross-modal Correlation for Visual Question Answering". Australasian Database Conference (ADC). 2017.
[75] Jingkuan Song, Tao He, Hangbo Fan, Lianli Gao*. "Deep Discrete Hashing with Self-supervised Labels Pairwise Labels". European Conference on Machine Learning and Principal and Practice of Knowledge Discovery in Database (ECML-PKDD), 2017.
[76] Lianli Gao, Zhao Guo, Hanwang Zhang, Xing Xu, Heng Tao Shen*. "Videos Captioning with Attention-based LSTM and Semantic Consistency". IEEE Trans. on Multimedia (TMM), 19(9):2045-2055, 2017.
[77] Jingkuan Song, Lianli Gao*, Zhao Guo, Wu Liu, Dongxiang Zhang, Heng Tao Shen. "Hierarchical LSTM with Adjusted Temporal Attention for Video Captioning", International Joint Conference on Artificial Intelligence (IJCAI), 2017.(CCF A)
[78] Lianli Gao, Peng Wang, Jingkuan Song, Zi Huang, Jie Shao and Heng Tao Shen. "Event Video Mashup: from Hundreds of Videos to Minutes of Skeleton", AAAI Conference on Artificial Intelligence (AAAI), 2017. (Oral).(CCF A)
[79] Xiangpeng Li, Lianli Gao*, Xing Xu, Jie Shao, Fumin Shen, Jingkuan Song, "Kernel based Latent Semantic Sparse Hashing for Large-scale Retrieval from Heterogeneous Data Sources", Neurocomputing, 2017.
[80] Lianli Gao, Yuan Wang*, Dongsheng Li, Junming Shao, Jingkuan Song , "Real-Time Social Media Retrieval with Spatial, Temporal and Social Constraints", Neurocomputing, 2017.
[81] Jingkuan Song, Lianli Gao*, Xiaofeng Zhu; Nicu Sebe. "Quantization based Hashing: A General Framework for Scalable Image and Video Retrieval", Pattern Recognition (PR), 2017.
[82] Chengkun He, Jie Shao, Xing Xu, Deqiang Ouyang, Lianli Gao."Exploiting score distribution for heterogeneous feature fusion in image classification". Neurocomputing, 2017.
[83] Dongxiang Zhang, Yuchen Li, Ju Fan, Lianli Gao, Fumin Shen and Heng Tao Shen, "Processing Long Queries Against Short Text: Top-k Advertisement Matching in News Stream Applications", ACM Trans. on Information Systems (TOIS), 2017. (CCF A)
2016
[84] Lianli Gao, Jingkuan Song, Feiping Nie, Nicu Sebe and Heng Tao Shen. "Graph-without-cut: An Ideal Graph Learning for Image Segmentation". In AAAI, 2016. (CCF A)
[85] Yan Xu, Fumin Shen*, Xing Xu, Lianli Gao, Yuan Wang and Xiao Tan, "Large-scale Image Retrieval with Supervised Sparse Hashing", Neurocomputing (Elsevier), 2016.
[86] Xuanhan Wang, Lianli Gao*, Jingkuan Song, Heng Tao Shen, "Beyond Frame-level CNN: Saliency-aware 3D CNN with LSTM for Video Action Recognition", IEEE Signal Processing Letters, 2016.
[87] Zhao Guo, Lianli Gao*, Jingkuan Song, Xing Xu, Jie Shao, Heng Tao Shen, "Attention-based LSTM with Semantic Consistency for Videos", ACM Multimedia (MM), 2016. (CCF A)
[88] Jingkuan Song, Lianli Gao*, Mihai Marian Puscas, Feiping Nie, Fumin Shen, Nicu Sebe, “Joint Graph Learning and Video Segmentation Via Multiple Cues and Topology Calibration”, ACM Multimedia (MM), 2016. (CCF A)
[89] Jingkuan Song, Lianli Gao*, Feiping Nie, Heng Tao Shen, and Nicu Sebe. "Optimized Graph Learning using Partial Tags and Multiple Features for Image and Video Annotation". IEEE Trans. on Image Processing (TIP), 2016. (CCF A)
[90] Zhao Guo, Lianli Gao*, xiantong zhen, fuhao Zou, Fumin Shen, Kai Zheng, "Spatial and Temporal Scoring for Egocentric Video Summarization", Neurocomputing (Elsevier), 2016.
[91] Jingkuan Song, Lianli Gao*, Fuhao Zou, Yanyan. "Deep and Fast: Deep Learning Hashing with Semi-supervised Graph Construction". Image and Vision Computing, 2016.
2015
[92] Lianli Gao, Jingkuan Song, Feiping Nie, Nicu Sebe and Heng Tao Shen. “Optimal Graph Learning with Partial Tags and Multiple Features for Image and Video Annotation”. CVPR, 2015. (CCF A)
[93] Lianli Gao, Jingkuan Song, Yan Yan Dongxiang Zhang and Nicu Sebe. “Scalable Multimedia Retrieval by Deep Learning Hashing with Relative Similarity Learning”. ACM Multimedia, 2015.(CCF A)
[94] Jingkuan Song, Lianli Gao, Yan Yan, Dongxiang Zhang and Nicu Sebe. “Supervised Hashing with Pseudo Labels for Scalable Multimedia Retrievals”. ACM Multimedia, 2015(CCF A)
[95] Gang Hu, Jie Shao, Yang Yang, Lianli Gao. “Exploring Viewable Angle Information in Georeferenced Video Search”. ACM Multimedia, 2015.(CCF A)
[96] Lingyu Yan, Fuhao Zou, Rui Guo ,Lianli Gao, Ke Zhou, Chunzhi Wang. “Feature Aggregating Hashing for Image Copy Detection”. Journal of World Wide Web, 2015.
[97] Lianli Gao, Jingkuan Song, Junming Shao, Xiaofeng Zhu, Heng Tao Shen. “Zero-shot Image Categorization via Image Correlation Explo-ration”. ICMR, 2015.
[98] Lianli Gao, Jingkuan Song, Xingyi Liu, Junming Shao, Jiajun Liu, Jie Shao. “Learning in High-dimensional Multimedia Data: The-State-of-the-art”. Journal of Multimedia System, 23(3), 303-313, 2015.
[99] Shichao Zhang, Debo Cheng, Ming Zong, Lianli Gao. “Self-representation Nearest Neighbor Search for Classification”. Neurocomputing, 2015.

专业研究方向：

专业名称	研究方向	招生类别
081200计算机科学与技术	02机器智能与模式识别，03数字媒体技术，06云计算与大数据处理	博士学术学位
085400电子信息	01“计算机科学与技术”研究组，03“计算机科学与技术”研究组（非全）	博士专业学位
081200计算机科学与技术	02机器智能与模式识别，03数字媒体技术，06云计算与大数据处理	硕士学术学位