樑上松，男，博士，中山大學數據科學與計算機學院百人計畫傑出人才，副教授。擔任CCF B類期刊Information Processing and Management的編委；先後被邀請擔任SIGIR 2017-2018、WWW 2018、IJCAI 2018/2019、WSDM 2018/2019、AAAI 2019等國際頂級會議的程式委員會委員，和上述會議及ACM TOIS、IEEE TKDE、ACM Trans. on the Web等著名期刊的審稿人。
基本介紹
- 中文名：樑上松
- 職業：教師
- 畢業院校：荷蘭阿姆斯特丹大學
- 學位/學歷：博士
- 職稱：副教授
研究領域,人物經歷,代表性論著,
研究領域
數據挖掘、信息檢索、人工智慧、機器學習
人物經歷
2018.10-現在，中山大學，數據科學與計算機學院，副教授
2018.1-2018.10，沙竺阿拉伯阿卜杜拉國王科技大學，研究員
2015.5-2018.1，英國倫敦大學學院，博士後副研究員
2015.1-2015.4，美國麻省大學阿默斯特分校，訪問博士後
2014.12-2015.5, 荷蘭阿姆斯特丹大學，博士後
2011.9-2014.12，荷蘭阿姆斯特丹大學，博士，導師：Maarten de Rijke院士
代表性論著
49. Yupeng Luo, Shangsong Liang, and Zaiqiao Meng. Constrained Co-embedding for User Profile in Community Question Answering. The 28th ACM International Conference on Information and Knowledge Management, CIKM 2019. Full paper. To appear. (CCF B)
48. Teng Xiao, Shangsong Liang, and Zaiqiao Meng. Dynamic Collaborative Recurrent Learning. The 28th ACM International Conference on Information and Knowledge Management, CIKM 2019. Full paper. To appear. (CCF B)
47. Jiaxin Ren (co-first author), Teng Xiao (co-first author), Zaiqiao Meng, Huan Sun, and Shangsong Liang. Dynamic Bayesian Metric Learning for Personalized Product Search. The 28th ACM International Conference on Information and Knowledge Management, CIKM 2019. Full paper. To appear. (CCF B)
46. Jing Song, Hong Shen, Zijing Ou , Junyi Zhang , Teng Xiao, and Shangsong Liang. BISLF: Interest Shift and Latent Factors Combination Model for Session-based Recommendation. The 28th International Joint Conference on Artificial Intelligence, IJCAI 2019. Full paper. To appear. (CCF A)
45. Qiang Zhang, Shangsong Liang, Aldo Lipani, Zhaochun Ren, and Emine Yilmaz. From Stances’ Imbalance to their Hierarchical Representation and Detection. In Proceedings of the 28th International World Wide Web Conference, WWW 2019, San Francisco, 2019. Full paper. (CCF A)
44. Qiang Zhang, Aldo Lipani, Shangsong Liang, and Emine Yilmaz. Reply-aided Detection of Misinformation via Bayesian Deep Learning. In Proceedings of the 28th International World Wide Web Conference, WWW 2019, San Francisco, 2019. Full paper. (CCF A)
43. Shangsong Liang. Unsupervised Semantic Generative Adversarial Networks for Expert Retrieval. In Proceedings of the 28th International World Wide Web Conference, WWW 2019, San Francisco, 2019. Full paper. (CCF A)
42. Xiao Teng, Shangsong Liang, and Zaiqiao Meng. Hierarchical Neural Variational Model for Personalized Sequential Recommendation. In Proceedings of the 28th International World Wide Web Conference, WWW 2019, San Francisco, 2019. Short paper. (CCF A)
41. Zaiqiao Meng, Shangsong Liang, Hongyan Bao, Xiangliang Zhang. Co-embedding Attributed Networks. 12th ACM International Conference on Web Search and Data Mining (WSDM), 2019. Full paper. (CCF B)
40. Teng Xiao (master student), Shangsong Liang, Weizhou Shen, Zaiqiao Meng. Bayesian Deep Collaborative Matrix Factorization. Thirty-third AAAI Conference on Artificial Intelligence (AAAI), 2019. Full paper. (CCF A)
39. Lu Yu (PhD student), Chuxu Zhang, Shangsong Liang, Xiangliang Zhang. Multi-order Attentive Ranking Model for Sequential Recommendation. Thirty-third AAAI Conference on Artificial Intelligence (AAAI), 2019. Full paper. (CCF A)
38. Shangsong Liang, Emine Yilmaz, Evangelos Kanoulas. Collaboratively Tracking Interests for User Clustering in Streams of Short Texts. IEEE transactions on Knowledge and Data Engineering (TKDE), 31(2), pp. 257-272, 2019. (CCF A)
37. Shangsong Liang. Collaborative, Dynamic and Diversified User Profiling. Thirty-third AAAI Conference on Artificial Intelligence (AAAI), 2019. Full paper. (CCF A)
36. Qiang Zhang (PhD student), Shangsong Liang, Emine Yilmaz. Variational Self-attention Model for Sentence Representation. The third NeurIPS Workshop on Bayesian Deep Learning at NIPS 2018. 2018.
35. Shangsong Liang, Xiangliang Zhang, Zhaochun Ren, Evangelos Kanoulas. Dynamic Embeddings for User Profiling in Twitter. Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2018, London, United Kingdom, 2018. Full paper. (CCF A)
34. Shangsong Liang, Ilya Markov, Zhaochun Ren, Maarten de Rijke. Manifold Learning for Rank Aggregation. The 27th International Web conference (WWW), 2018. Full paper. April, 2018. pp. 1735-1744, Full paper. (CCF A)
33. Shangsong Liang. Dynamic User Profiling for Streams of Short Texts. Thirty- second AAAI Conference on Artificial Intelligence (AAAI), pp. 5860-5867, 2018. Full paper. (CCF A)
32. Shangsong Liang, Zhaochun Ren, Jun Ma, Emine Yilmaz, Maarten de Rijke. Inferring Dynamic User Interests in Streams of Short Texts for User Clustering. ACM Transactions on Information Systems (TOIS), Vol. 36, No. 1, Article 10, pp. 1-36, 2017. (CCF A)
31. Shangsong Liang, Emine Yilmaz, Hong Shen, Maarten de Rijke, W. Bruce Croft. Search Result Diversification in Short Text Streams. ACM Transactions on Information Systems (TOIS), Vol. 36, No. 1, pp. 1-35, 2017. (CCF A)
30. Shangsong Liang, Zhaochun Ren, Emine Yilmaz, Evangelos Kanoulas. Collabor- ative User Clustering for Short Text Streams. Thirty-First AAAI Conference on Artificial Intelligence (AAAI), pp. 3504-3510, 2017. Full paper. (CCF A)
29. Shangsong Liang, Emine Yilmaz, Evangelos Kanoulas. Dynamic Clustering of Streaming Short Documents. Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2016), pp. 995-1004, San Francisco, U.S.A, 2016. Full paper. (CCF A)
28. Shangsong Liang, Fei Cai, Zhaochun Ren, Maarten de Rijke. Efficient Structured Learning for Personalized Diversification. IEEE transactions on Knowledge and Data Engineering (TKDE), Vol. 28, No. 11, pp. 2958–2973, 2016. (CCF A)
27. Shangsong Liang (co-first author), Yukun Zhao, Zhaochun Ren, Jun Ma, Emine Yilmaz, Maarten de Rijke. Explainable User Clustering in Short Text Streams. Proceedings of the 39th International ACM Conference on Research and Development in Information Retrieval (SIGIR 2016), pp. 155-164, Pisa, Tuscany, Italy, 2016. Full paper. (CCF A)
26. Shangsong Liang. Fusion and Diversification in Information Retrieval. University of Amsterdam Press, ISBN: 978-94-6182-522-3, pp. 182, December, 2014.
25. Shangsong Liang, Zhaochun Ren, Maarten de Rijke. Personalized Search Result Diversification via Structured Learning. Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2014), pp. 751-760, New York, U.S.A, 2014. Full paper. (CCF A )
24. Shangsong Liang, Zhaochun Ren, Maarten de Rijke. Fusion Helps Diversification. Proceedings of the 37th International ACM Conference on Research and Development in Information Retrieval (SIGIR 2014), pp. 303-312, Gold Coast, Australia, 2014. Full paper. (CCF A)
23. Shangsong Liang, Maarten de Rijke. Finding Knowledgeable Groups in Enterprise Corpora. In Proceedings of the 36th International ACM Conference on Research and Development in Information Retrieval (SIGIR 2013), pp. 1005-1008, Dublin, Ireland, 2013. (CCF A)
22. Shangsong Liang, Maarten de Rijke. Formal language Models for Finding Groups of Experts. Information Processing & Management (IPM), Vol. 52, No. 4, pages 529- 549, 2016. (CCF B)
21. Shangsong Liang, Maarten de Rijke. Burst-Aware Data Fusion for Microblog Search. Information Processing & Management (IPM), Vol. 51, pages. 89-113, Elsevier, 2015. (CCF B)
20. Shangsong Liang, Zhaochun Ren, Wouter Weerkamp, Edgar Meij, Maarten de Rijke. Time-Aware Rank Aggregation for Microblog Search. Proceedings of the 23rd Inter-national ACM Conference on Information and Knowledge Management (CIKM 2014), pp. 989-998, Shanghai, China, 2014. Full paper. (CCF B)
19. Shangsong Liang (co-first author), Hongya Song (co-first author), Zhaochun Ren (co-first author), Piji Li, Jun Ma, Maarten de Rijke. Summari-zing Answers in Non-Factoid Community Question-Answering. In The Tenth ACM International Conference on Web Search and Data Mining (WSDM 2017), pp. 405-414, Cambridge, U.K., 2017. Full paper. (CCF B)
18. Shangsong Liang, Zhaochun Ren, Maarten de Rijke. The Impact of Semantic Document Expansion on Cluster-based Fusion for Microblog Search. In Proceedings of the 36th European Conference on Information Retrieval (ECIR 2014), pp. 493-499, Amsterdam, The Netherlands, 2014. Full paper. (CCF C)
17. Shangsong Liang, Maarten de Rijke, Manos Tsagkias. Late Data Fusion for Microblog Search. In Proceedings of the 35th European Conference on Information Retrieval (ECIR 2013), Moscow, Russia, 2013. Short paper. (CCF C)
16. Shangsong Liang, Dongjian He. Image Classification Using Compound Image Transfor-mations, Multi-Class SVM. ICIC Express Letters, An International Journal of Research and Surveys, Volume 6, Issue 3, March 2012.
15. Xisen Jin, Wenqiang Lei, Hongshen Chen, Shangsong Liang, Zhaochun Ren, Yihong Zhao, Dawei Yin. Proceedings of the 23rd Inter-national ACM Conference on Information and Knowledge Management (CIKM 2018), Shanghai, China, 2018. Full paper. (CCF B)
14. Qiang Zhang, Emine Yilmaz, Shangsong Liang. Ranking-based Method for News Stance Detection. Proceedings of the 27th The Web Conference (WWW 2018), Lyon, France. Poster. (CCF A)
13. Zhaochun Ren, Shangsong Liang, Piji Li, Shuaiqiang Wang, Maarten de Rijke. Social Collaborative Viewpoint Regression with Explainable Recommendations. The Tenth ACM International Conference on Web Search and Data Mining (WSDM 2017). Cambridge, U.K., 2017. Full paper. (CCF B)
12. Bin Zhou, Vasileios Lampos, Shangsong Liang, Zhaochun Ren, Emine Yilmaz, Ingemar Cox. A Concept Language Model for Ad-Hoc Search. Proceedings of the 26th International World Wide Web Conference (WWW 2017), Montréal, Canada, 2017. Short paper. (CCF A)
11. Fei Cai, Shangsong Liang, Maarten de Rijke. Prefix-adaptive and Time-sensitive Personalized Query Auto Completion. 2016. IEEE transactions on Knowledge and Data Engineering (TKDE). (CCF A)
10. Yukun Zhao, Shangsong Liang, Jun Ma. Personalized Re-Ranking of Tweets. In Proceedings of the 17th International Conference on Web Information System Engineering (WISE 2016), Shanghai, China, 2016. Full paper. (CCF C)
9. Zhaochun Ren, Hongya Song, Piji Li, Shangsong Liang, Jun Ma, and Maarten de Rijke. Using Sparse Coding for Answer Summarization in Non-Factoid Community Question-Answering. In WebQA 2016 —SIGIR 2016: Web Question Answering, Beyond Factoids. ACM, July 2016. Full paper.
8. Fei Cai, Shangsong Liang, Maarten de Rijke. Personalized Document Re-ranking Based on Bayesian Probabilistic Matrix Factorization. Proceedings of the 37th International ACM Conference on Research and Development in Information Retrieval (SIGIR 2014), Gold Coast, Australia, 2014. Short paper. (CCF A)
7. Fei Cai, Shangsong Liang, Maarten de Rijke. Time-Sensitive Personalized Query Auto-Completion. Proceedings of the 23rd International ACM Conference on Information and Knowledge Management (CIKM 2014), Shanghai, China, 2014. Full paper. (CCF B)
6. Zhaochun Ren, Maria-Hendrike Peetz, Shangsong Liang, Maarten de Rijke. Hierarchical multi-label classification of social text streams. In Proceedings of the 37th International ACM Conference on Research and Development in Information Retrieval (SIGIR 2014), Gold Coast, Australia, 2014. Full paper. (CCF A)
5. Zhaochun Ren, Shangsong Liang, Edgar Meij, Maarten de Rijke. Personalized Time-aware Tweets Summarization. In Proceedings of the 36th International ACM Conference on Research and Development in Information Retrieval (SIGIR 2013), Dublin, Ireland, 2013. Full paper. (CCF A)
4. Wouter Weerkamp, Richard Berendsen, Shangsong Liang, Zhaochun Ren, Manos Tsagkias, Nikos Voskarides. The University of Amsterdam (ILPS) at TREC 2013 Microblog Track. In Proceedings of the 22nd Text Retrieval Conference (TREC 2013), National Institute of Standard and Technology, U.S.A, 2013. Full paper. (CCF C)
3. Hang Zhang, Paul Yanne, Shangsong Liang. Plant Species Classification Using Leaf Shape and Texture. In Proceedings of the IEEE Conference on Industrial Control and Electronics Engineering. Xi’an, China, 2012. Full paper.
2. Dongjian He, Shangsong Liang*, Yong Fang. A Multi- Descriptor, Multi-Nearest Neighbor Approach for Image Classification. In Proceedings of Sixth International Conference on Intelligent Computation (ICIC 2010). Changsha, China, 2010. Full paper.
1. Jinglei Tang, Xu Jing, Dongjian He, Shangsong Liang. Blind-Road Location and Recognition in Natural Scene. In World Congress on Computer Science and Information Engineering. Los Angeles, California, U.S.A, 2009. Full paper.
