Lianli Gao (高联丽)



Associate Professor
School of Computer Science and Engineering
The University of Electronic Science and 
Technology of China (UESTC)

Office: 2006 Xiyuan Ave., West Hi-Tech Zone, Chengdu, Sichuan, China, 611731
Email:
lianli.gao@uestc.edu.cn
CV: LianliGao.pdf


I'm a Associate Professor at School of Computer Science and Engineering, UESTC. I'm a member of the BMC Lab.  I obtained my PhD degree in Information Technology from The University of Queensland (UQ), Australia, in 2014. I received my BS degree in Computer Science from UESTC, in 2009. My research interests include Information Visualization, The Semantic Web and Computer Vision (Image&Video Retrieval, Segmentation, Caption Generation, Summarization etc.) using Graph Learning and Deep Learning techniques.


Research Experience

  • Associate Professor,School of Computer Science and Engineering, UESTC, 2014.02-Now
  • Scholar Visiting, School of Engineering and Applied Science ,Columbia University, 2016
  • Scholar Visiting, Dept. of Information Engineering and Computer Science, University of Trento, 2014-2015
  • PhD Study, School of ITEE, University of Queensland, Australia, 2010-2014.

Service Positions

  • Program Committee: ACM Multimedia Conference 2015. MMM 2017.
  • Program Chair: The 3rd International Workshop on Detection, Representation, and Exploitation of Events in the Semantic Web (DeRiVE 2013).
  • Reviewer for: TKDE, TMM, TSMCB, TBD, ACM Multimedia, MMM, CVIU, MTAP, Neurocomputing, Journal of Animal Behavior etc.

Selected Publications

2017

  • 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", In Proceedings of the 31th AAAI Conference on Artificial Intelligence (AAAI), 2017. (Oral)  (CCF A) 
  • 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", Conference on Information and Knowledge Management (CIKM), 2017.  
  • Dongyang Zhang, JieShao*, Gang Hu and Lianli Gao. "Sharp and Real Image Super-Resolution Using Generative Adversarial Network", International Conference Neural Information Processing (ICONIP), 2017.  
  • 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.  
  • 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.  
  • Lianli Gao, Zhao Guo, Hanwang Zhang, Xing Xu, Heng Tao Shen*. "Videos Captioning with Attention-based LSTM and Semantic Consistency", IEEE Transactions on Multimedia (TMM), 2017. (JCR 2区)  
  • 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) 
  • 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), 2017.  
  • 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. (JCR 2区)  
  • Lianli Gao, Yuan Wang*, Dongsheng Li, Junming Shao, Jingkuan Song , "Real-Time Social Media Retrieval with Spatial, Temporal and Social Constraints", Neurocomputing, 2017. (JCR 2区) 
  • Jingkuan Song, Lianli Gao*, Xiaofeng Zhu; Nicu Sebe. "Quantization based Hashing: A General Framework for Scalable Image and Video Retrieval", Pattern Recognition (PR), 2017.  
  • Chengkun He, Jie Shao, Xing Xu, Deqiang Ouyang, Lianli Gao."Exploiting score distribution for heterogeneous feature fusion in image classification". Neurocomputing, 2017. (JCR 2区)  
  • 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 Transactions on Information Systems (TOIS), 2017  (CCF A)

2016

  • Xuanhan Wang, Lianli Gao*, Jingkuan Song, Hengtao Shen, "Beyond Frame-level CNN: Saliency-aware 3D CNN with LSTM for Video Action Recognition", IEEE Signal Processing Letters, 2016.
  • Zhao Guo, Lianli Gao, Jingkuan Song, Xing Xu, Jie Shao, Hengtao Shen, "Attention-based LSTM with Semantic Consistency for Videos", ACM Multimedia (MM), 2016. 
  • 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. 
  • 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 Transactions on Image Processing (TIP), 2016 
  • Lianli Gao, Jingkuan Song, Feiping Nie, Nicu Sebe and Heng Tao Shen. "Graph-without-cut: An Ideal Graph Learning for Image Segmentation". In Proceedings of the 30th AAAI Conference on Artificial Intelligence (AAAI), 2016.
  •  Zhao Guo, Lianli Gao*, xiantong zhen, fuhao Zou, Fumin Shen, Kai Zheng, "Spatial and Temporal Scoring for Egocentric Video Summarization", Neurocomputing (Elsevier), 2016.
  • Yan Xu, Fumin Shen*, Xing Xu, Lianli Gao and Yuan Wang, "Large-scale Image Retrieval with Supervised Sparse Hashing", Neurocomputing (Elsevier), 2016.
  • Chengkun He, Jie Shao, Xing Xu, Deqiang Ouyang, and Lianli Gao . "Exploiting Score Distribution for Heterogenous Feature Fusion in Image Classfication". Neurocomputing, 2016. (JCR 2区)
  • Jingkuan Song, Lianli Gao, Fuhao Zou, Yanyan. "Deep and Fast: Deep Learning Hashing with Semi-supervised Graph Construction". Image and Vision Computing, 2016.

2015

  • 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.
  • Jingkuan Song, Lianli Gao, Yan Yan, Dongxiang Zhang and Nicu Sebe. “Supervised Hashing with Pseudo Labels for Scalable Multimedia Retrievals”. ACM Multimedia, 2015 
  • Gang Hu, Jie Shao, Yang Yang, Lianli Gao. “Exploring Viewable Angle Information in Georeferenced Video Search”. ACM Multimedia, 2015. 
  • 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.
  • 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.
  • Lianli Gao,  Jingkuan Song, Junming Shao, Xiaofeng Zhu, Heng Tao Shen. “Zero-shot Image Categorization via Image Correlation Explo-ration”. ICMR, 2015. 
  • 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, 2015.
  • Shichao Zhang, Debo Cheng, Ming Zong, Lianli Gao. “Self-representation Nearest Neighbor Search for Classification”. Neurocomputing, 2015. 

2014

  • Lianli Gao, Jane Hunter, Michael Bruenig. “Estimating Fire Weather Indices via Semantic Reasoning of Wireless Sensor Network Streams”. International Journal of Web and Semantic Technology, 2014.
  • Owen R. Bidder, Hamish A. Campbell, Agustina Gomez-Laich, Patricia Urge, James Walker, Yuzhi Cai, Lianli Gao, Flavio Quintana, Rory P. Wilson. “Love Thy Neighbour: Automatic Animal Behavioural Classification of Acceleration Data Using the K-Nearest Neighbour Algorithm”. Journal of PLOS one, 2014.

2013

  • Lianli Gao, Jane Hunter, Michael Bruenig. “Semantic based Detection of Segment Outliers and Unusual Events for Wireless Sensor Networks”. International Conference on Information Quality, 2013.
  •  Hamish Campbell, Lianli Gao, Owen Bidder, Jane Hunter, Craig Franklin. “Creating a Behavioural Classification Module for Acceleration Data: Using a Captive Surrogate for Difficult to Observe Species”. Journal of Experimental Biology, 2013. 

2012

  • Lianli Gao, Hamish A. Campbell, Owen R. Bidder,Jane Hunter. “A Web-based Semantic Tagging and Activity Recognition System for Species' Accelerometry Data”. Journal of Ecological Informatics, 2012.
  • Lianli Gao, Hamish A Campbell, Craig E Franklin, Jane Hunter. “Combining Semantic Tagging and Support Vector Machines to Streamline the Analysis of Animal Accelerometry Data”. Microsoft eScience Workshop, 2012.
  • Lianli Gao, Hamish A Campbell, Craig E Franklin, Jane Hunter. “Streamlining the Analysis of Accelerometry Data to Improve Understanding of Animal Behaviour”. eResearch Australasia Conference, 2012.
  • Lianli Gao. Semantic Annotation and Reasoning Services for Sensor Data Streams”. PhD Forum with the 11th ACM/IEEE Conference on Information Processing on Sensor Networks, 2012.

2011

  • Lianli Gao, Jane Hunter. “Publishing, Linking and Annotating Events via Interactive Timelines: an Earth Sciences Case Study”. DeRIVE Workshop in conjunction with ISWC, 2011.