Publications



Published: [2017] [2016] [2015] [2014] [2013] [2012] [2011] [2010] [2009] [2008] [2007] [2006] [2005-]



2017

  • Jing Li, Pengjie Ren, Zhumin Chen, Zhaochun Ren, Tao Lian and Jun Ma. Neural Attentive Session-based Recommendation. The 26th ACM International Conference on Information and Knowledge Management (CIKM), 2017. (CCF B)
  • Xuemeng Song, Fuli Feng, Jinhuan Liu, Zekun Li, Liqiang Nie, Jun Ma. NeuroStylist: Neural Compatibility Modeling for Clothing Matching. ACM International Conference on Multimedia (MM), 2017. (CCF A)
  • Liqiang Nie, Xiang Wang, Jianglong Zhang, Xiangnan He, Hanwang Zhang, Richang Hong, Qi Tian. Enhancing Micro-video Understanding by Harnessing External Sounds. ACM International Conference on Multimedia (MM), 2017. (CCF A)
  • Meng Liu, Liqiang Nie, Meng Wang, Baoquan Chen. Towards Micro-video Understanding by Joint Sequential-Sparse Modeling. ACM International Conference on Multimedia (MM), 2017. (CCF A)
  • Pengjie Ren, Zhumin Chen, Zhaochun Ren, Furu Wei, Jun Ma, and Maarten de Rijke. Leveraging Contextual Sentence Relations for Extractive Summarization Using a Neural Attention Model. The 40th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval(SIGIR), 2017. (CCF A)
  • Kaiyuan Cui, Pengjie Ren, Zhumin Chen, Tao Lian, Jun Ma. Relation Enhanced Neural Model for Type Classification of Entity Mentions with a Fine-Grained Taxonomy. Journal Computer Science and Technology, Vol.32(4), 2017, 814-827. (SCI, CCF B)
  • Liqiang Nie, Luming Zhang, Meng Wang, Richang Hong, Aleksandr Farseev, Tat-Seng Chua. Learning User Attributes via Mobile Social Multimedia Analytics. ACM Transactions on Intelligent Systems and Technology (TIST), 8(3): 36:1-36:19, 2017. (SCI)
  • Liqiang Nie, Xiaochi Wei, Dongxiang Zhang, Xiang Wang, Zhipeng Gao, Yi Yang. Data-Driven Answer Selection in Community QA Systems. IEEE Transactions on Knowledge and Data Engineering (TKDE), 29(6): 1186-1198, 2017. (CCF A, SCI)
  • Liqiang Nie, Luming Zhang, Lei Meng, Xuemeng Song, Xiaojun Chang, Xuelong Li: Modeling Disease Progression via Multisource Multitask Learners: A Case Study With Alzheimer's Disease. IEEE Transactions on Neural Networks and Learning Systems, 28(7): 1508-1519, 2017. (CCF B, SCI)
  • Kaiyuan Cui, Pengjie Ren, Zhumin Chen, Tao Lian, Jun Ma. Relation Enhanced Neural Model for Type Classification of Entity Mentions with a Fine-Grained Taxonomy. Journal Computer Science and Technology, Vol.32(4), 2017, 814-827. (SCI, CCF B)
  • Chaoran Cui, Jialie Shen, Liqiang Nie, Richang Hong and Jun Ma. Augmented Collaborative Filtering for Sparseness Reduction in Personalized POI Recommendation. ACM Transactions on Intelligent Systems and Technology (TIST). (SCI)
  • Xiaohui Han, Lianhai Wang, Chaoran Cui, Jun Ma, Shuhui Zhang. Linking Multiple Online Identities in Criminal Investigations: A Spectral Co-clustering Framework. IEEE Transactions on Information Forensics and Security, Vol.12(9), 2017, 2242-2255. (CCF A, SCI)
  • Shangsong Liang, Zhaochun Ren, Yukun Zhao, Jun Ma, Emine Yilmaz, Maarten de Rijke. Inferring Dynamic User Interests in Steams of Short Text for User Clustering. ACM Transactions on Information Systems (TOIS), Vol.36(1), 2017. (CCF A, SCI)
  • Yukun Zhao, Shangsong Liang, Jun Ma. Personalized Re-Ranking of Tweets. The 17th International Conference on Web Information System Engineering (WISE), 2016. (CCF C)
  • Peizhe Cheng, Shuaiqiang Wang, Jun Ma, Jiankai Sun and Hui Xiong. Learning to Recommend Accurate and Diverse Items. The 26th International World Wide Web Conference (WWW), 2017. (CCF A)
  • Hongya Song, Zhaochun Ren, Piji Li, Shangsong Liang, Jun Ma, and Maarten de Rijke. Summarizing answers in non-factoid community question-answering. The 10th International Conference on Web Search and Data Mining (WSDM), February 2017. (CCF B)
  • Yukai Gao, Xinhau Wang, Lei Guo, Zhumin Chen. Learning to Recommend with Collaborative Matrix Factorization for New Users. Journal of Computer Research and Development, 54(4), 2017, 1813-1823.
  • Qian Ma, Jun Ma. Identifying and ranking influential spreaders in complex networks with consideration of spreading probability, Physica A, Vol.465(1), January 2017, 312–330. (SCI)
  • Chaoran Cui, Jialie Shen, Jun Ma, Tao Lian. Social Tag Relevance Learning via Ranking-Oriented Neighbour Voting. Multimedia Tools and Applications, Vol.76(6), March 2017, 8831–8857. (SCI)
  • Pengjie Ren, Zhumin Chen, Jun Ma, Shuaiqiang Wang, Zhiwei Zhang, Zhaochun Ren. User Session Level Diverse Reranking of Search Results. Neurocomputing, 2017. (SCI, CCF C)
  • Chaoran Cui, Jialie Shen, Zhumin Chen, Shuaiqiang Wang, Jun Ma. Learning to Rank Images for Complex Queries in Concept-based Search. Neurocomputing, 2017. (SCI, CCF C)
  • Qian Ma, Jun Ma. Discovering the Substitutes for the Seeds in Influence Maximization Problem. Chinese Journal of Computers, Vol.40(3), Mar 2017, 674-686.
  • Yadong Qin, Jun Ma, Shuai Gao. Efficient influence maximization for TSCM: A suitable diffusion model in online social networks, Soft Computing, 2017. (SCI, CCF C)
  • Wei Zhang, Linyu Han, Dianlei Zhang, Pengjie Ren, Jun Ma, Zhumin Chen. GeoPMF: a distance-aware tour recommendation model, Computer Research and Development, Vol.54(2), 2017, 405-414.
  • Xueqin Sui, Zhumin Chen, Lei Guo, Kai Wu, Jun Ma, Guanghui Wang. Social Media as Sensor in Real World: Movement Trajectory Detection with Microblog. Soft Computing, Vol.21(3), 765-779, February 2017. (SCI, CCF C)
  • Pengjie Ren, Zhumin Chen, Jun Ma, Zhiwei Zhang, Luo Si, Shuaiqiang Wang. Detecting Temporal Patterns of User Queries. Journal of the Association for Information Science and Technology(JASIST), Vol.68(1), 113-128, January 2017. (SCI, CCF B)