刘均 - 西安交通大学 - 电子与信息工程学院

个人简介

12/2011–present Professor, Department of Computer Science and Technology, XJTU, China 8/2017–9/2017 Senior Visiting Fellow, Stanford University, USA 7/2016–8/2016 Senior Visiting Fellow, Queensland University, Australia 7/2011–8/2011 Visiting Scholar, Iowa State University, USA 7/1998–12/2011 Lecturer, Assoc. Prof., Department of Computer Science and Technology, XJTU, China 5/2005–8/2005 Visiting Scholar, University of Hong Kong, Hong Kong, China 9/1999–3/2004 Ph.D., Systems Engineering, XJTU, China 9/1995–7/1998 M.Eng., Computer Architecture, XJTU, China 9/1991–7/1995 B.Eng., Computer Science and Technology, Xi’an Jiaotong University (XJTU), China

研究领域

Department of Computer Science School of Electronic and Information Engineering Xi’an Jiaotong University (XJTU), Xi’an 710049, China

近期论文

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Lingling Zhang, Minnan Luo, Jun Liu, Xiaojun Chang, Yi Yang, and Alexander G. Hauptmann. Deep Top-k Ranking for Image-Sentence Matching, IEEE Transaction on Multimedia, 2019, Accepted. Lingling Zhang, Jun Liu, Minnan Luo, Xiaojun Chang, Qinghua Zheng, Alexander G. Hauptmann,Scheduled Sampling for One-Shot Learning via Matching Network, Pattern Recognition, 2019, Accepted. Qinghua Zheng, Jun Liu, Hongwei Zeng, Zhaotong Guo, Bei Wu & Bifan Wei. Knowledge Forest: A Novel Model to Organize Knowledge Fragments, Science China (Information Sciences), 2019, Accepted. Zheng Yan, Jun Liu, Laurence T. Yang, Witold Pedrycz. [Editorial] Data fusion in heterogeneous networks, Information Fusion, 2020, 53, 1-3. Ming Fan, Xiapu Luo, Jun Liu, Chunyin Nong, Qinghua Zheng, Ting Liu. CTDroid: Leveraging a Corpus of Technical Blogs for Android Malware Analysis, IEEE Transactions on Reliability, 2019, Accepted. (CCF A) Mengyue Liu, Jun Liu, Yihe Chen, Hao Chen, Meng Wang, Qinghua Zheng. AHNG: Representation Learning on Attributed Heterogeneous Network, Information Fusion, 2019, Accepted. Ruijie Wang , Meng Wang, Jun Liu, Michael Cochez, and Stefan Decker. Leveraging Knowledge Graph Embeddings for Natural Language Question Answering. DASFAA2019. Accepted. (CCF B) Zhaotong Guo, Bifan Wei, Jun Liu, Bei Wu. TF-Miner: Topic-specific Facet Mining by Label Propagation. DASFAA2019. Accepted. (CCF B) Luguo Xue, Minnan Luo, Zhen Peng, Jundong Li, Yan Chen, Jun Liu, Anomaly Detection in Time-Evolving Attributed Networks. DASFAA2019. Accepted. (CCF B) Ming Fan, Xiapu Luo, Jun Liu, Meng Wang, Chunyin Nong, Qinghua Zheng and Ting Liu. Graph Embedding based Familial Analysis of Android Malware using Unsupervised Learning, ICSE2019, Accepted. ( CCF A) Ming Fan, Xiapu Luo, Jun Liu, Chunyin Nong, Qinghua Zheng and Ting Liu, CTDroid: Leveraging a Corpus of Technical Blogs for Android Malware Analysis. NASAC 2018. （Best Paper Award ） Lingyun Song, Jun Liu, Buyue Qian, Yihe Chen. Connecting Language to Images: A Progressive Attention-Guided Network for Simultaneous Image Captioning and Language Grounding, AAAI2019, Accepted. ( CCF A) Wenqiang Liu, Jun Liu, Mengmeng Wu, Wei Hu, Bifan Wei, Qinghua Zheng. Representation Learning over Multiple Knowledge Graphs for Knowledge Graphs Alignment, Neurocomputing, Accepted. Ruijie Wang, Meng Wang, and Jun Liu. Graph Embedding based Query Construction over Knowledge Graphs. IEEE International Conference on Big Knowledge. Singapore, 2018. （Best Paper Award ） Lingyun Song, Jun Liu, Buyue Qian, Mingxuan Sun,et al. A Deep Multi-Modal CNN for Multi-Instance Multi-Label Image Classification. IEEE Transactions on Image Processing. Accepted. Ruoqing Ren, Haimeng Duan, Wenqiang Liu and Jun Liu. AUnet: An Unsupervised Method for Answer Reliability Evaluation in Community QA Systems. The Second International Workshop on Data Management and Mining on MOOCs, Macau, China, 2018. Meng Wang, Ruijie Wang, Jun Liu, Yihe Chen, Lei Zhang, Guilin Qi. Towards Empty Answers in SPARQL: Approximating Querying with RDF Embedding. The 17th International Semantic Web Conference (ISWC). Monterey, USA, 2018.（Best Student Paper Award Candidate）