Dr. Rong Pan (潘 嵘)

 

Associate Professor

Depatment of Computer Science

School of Data and Computer Science

Sun Yat-Sen University

132 East Waihuan Road, Guangzhou Higher Education Mega Center, Guangzhou, China

 

Phone: (8620) 3994-3018 

Cell: (86) 18602030400

 

Email: panr (at) mail (dot) sysu (dot) edu (dot) cn or poonwing (at) gmail (dot) com

General Information

Rong obtained his PhD from Software Institute and Department of Mathematics of Sun Yat-Sen (Zhongshan) University in Dec, 2004, and was a postdoctoral fellow in Department of Computer Science and Engineering at The Hong Kong University of Science and Technology and HP Labs.


Research Interests

My current research interests include data mining, machine learning and low-rank approximations.


Publications

1.      Shuangyin Li, Yu Zhang, Rong Pan, Kaixiang Mo. Adaptive Probabilistic Word Embedding. WWW 2020: 651-661

2.      Heng Wang, Shuangyin Li, Rong Pan, Mingzhi Mao. Incorporating Graph Attention Mechanism into Knowledge Graph Reasoning Based on Deep Reinforcement Learning. EMNLP/IJCNLP (1) 2019: 2623-2631.

3.      PeiFeng Wang, Jialong Han, Chenliang Li, Rong Pan. Logic Attention Based Neighborhood Aggregation for Inductive Knowledge Graph Embedding. AAAI 2019: 7152-7159.

4.      Feng Nie, Jin-Ge Yao, Jinpeng Wang, Rong Pan, Chin-Yew Lin. A Simple Recipe towards Reducing Hallucination in Neural Surface Realisation. ACL (1) 2019: 2673-2679.

5.      Feng Nie, Jinpeng Wang, Rong Pan, Chin-Yew Lin. An Encoder with non-Sequential Dependency for Neural Data-to-Text Generation. NLG 2019: 141-146.

6.      Feng Nie, Hailin Chen, Jinpeng Wang, Rong Pan, Chin-Yew Lin. Beyond Word for Word: Fact Guided Training for Neural Data-to-Document Generation. NLPCC (1) 2019: 525-538.

7.      Feng Nie, Jinpeng Wang, Jin-Ge Yao, Rong Pan, Chin-Yew Lin. Operation-guided Neural Networks for High Fidelity Data-To-Text Generation. EMNLP 2018: 3879-3889.

8.      PeiFeng Wang, Shuangyin Li, Rong Pan. Incorporating GAN for Negative Sampling in Knowledge Representation Learning. AAAI 2018: 2005-2012

9.      Feng Nie, Yunbo Cao, Jinpeng Wang, Chin-Yew Lin, Rong Pan. Mention and Entity Description Co-Attention for Entity Disambiguation. AAAI 2018.

10.   Shuangyin Li, Rong Pan, Jun Yan. Self-paced Compensatory Deep Boltzmann Machine for Semi-Structured Document Embedding. IJCAI 2017.

11.   Shuangyin Li, Yu Zhang, Rong Pan, Mingzhi Mao, Yang Yang. Recurrent Attentional Topic Model. AAAI 2017: 3223-3229.

12.   Yanju Chen, Rong Pan. Automatic Emphatic Information Extraction from Aligned Acoustic Data and Its Application on Sentence Compression. AAAI 2017: 3422-3428.

13.   Shuangyin Li, Rong Pan, Yu Zhang, Qiang Yang. Correlated Tag Learning in Topic Model. UAI 2016.

14.   Xiaomin Fang, Rong Pan: Personalized Tag Recommendation through Nonlinear Tensor Factorization using Gaussian. AAAI 2015.

15.   Xiaomin Fang, Rong Pan: Fast DTT: a near linear algorithm for decomposing a tensor into factor tensors. KDD 2014. 967-976.

16.   Shuangyin Li, Guan Huang, Ruiyang Tan, and Rong Pan: Tag-Weighted Dirichlet Allocation. Proceedings of the 2013 ICDM, Dallas, US.

17.   J Li, X Liang, W Ding, W Yang, R Pan: Feature engineering and tree modeling for author-paper identification challenge. Proceeding of the 2013 KDD Cup 2013 Workshop, 5.

18.   Shuangyin Li, Jiefei Li, Rong Pan: Tag-Weighted Topic Model for Mining Semi-Structured Documents.  IJCAI 2013: 2855-2861

19.   Yu-Jia Huang, Evan Wei Xiang, and Rong Pan. Constrained collective matrix factorization. RecSys 2012: 237-240.

20.   Chang Wan, Rong Pan, and Jiefei Li. Bi-Weighting Domain Adaptation for Cross-Language Text Classification. Proceedings of the 22nd International Joint Conference on Artificial Intelligence (IJCAI), Barcelona, Catalonia, Spain, July 16-22, 2011. IJCAI/AAAI 2011, ISBN 978-1-57735-516-8. 1535-1540.

21.   Hankz Hankui Zhuo, Qiang Yang, Rong Pan, and Lei Li. Cross-Domain Action-Model Acquisition for Planning via Web Search. Proceedings of the 21st International Conference on Automated Planning and Scheduling, ICAPS 2011, Freiburg, Germany June 11-16, 2011.

22.   Yan Fu, Rong Pan, Qiang Yang, and Wen Gao. Query-Adaptive Ranking with Support Vector Machines for Protein Homology Prediction. Bioinformatics Research and Applications - 7th International Symposium, ISBRA 2011, Changsha, China, May 27-29, 2011. Proceedings. Lecture Notes in Computer Science 6674 Springer 2011, ISBN 978-3-642-21259-8. 320-331.

23.   Rong Pan and Martin Scholz. Mind the gaps: weighting the unknown in large-scale one-class collaborative filtering. Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Paris, France, June 28 - July 1, 2009. ACM 2009, ISBN 978-1-60558-495-9. 667-676.

24.   Rong Pan, YunhongZhou, BinCao, NathanN.Liu, RajanLukose, Martin Scholz, and Qiang Yang. One-Class Collaborative Filtering. Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), December 15-19, 2008, Pisa, Italy. IEEE Computer Society 2008, 502-511. (data)

25.   Yunhong Zhou, Dennis Wilkinson, Robert Schreiber, and Rong Pan. Large-Scale Parallel Collaborative Filtering for the Netflix Prize. Algorithmic Aspects in Information and Management, 4th International Conference, AAIM 2008, Shanghai, China, June 23-25, 2008. Proceedings. Lecture Notes in Computer Science 5034 Springer 2008, ISBN 978-3-540-68865-5. 337-348

26.   Rong PanJunhui  Zhao,  Wenchen  Zheng,  Jeffrey  Junfeng  Pan,  Dou  Shen, Jialin  Pan,  and  Qiang  Yang. Domain-Constrained  Semi-Supervised  Mining  of  Tracking  Models  in  Sensor  Networks. Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, San Jose, California, USA, August 12-15, 2007. ACM 2007, ISBN 978-1-59593-609-7. 

27.   Rong Pan, Qiang Yang and Sinno Jialin Pan. Mining Competent Case Bases for Case-based Reasoning. Artificial Intelligence, 171(16-17): 1039-1068 (2007) 

28.   Qiang Yang, Rong Pan and Sinno Jialin Pan. Learning Recursive HTN-Method Structures for Planning. In Proceedings of the ICAPS-07 Workshop on AI Planning and Learning. Providence, Rhode Island, USA, September 22-26, 2007.

29.   Qiang Yang, Jie Yin, Charles Ling, and Rong Pan. Extracting Actionable Knowledge from Decision Trees. IEEE Transactions on Data and Knowledge Engineering, 19(1), pp. 43-56, January 2007.

30.   Dou Shen, Rong Pan, Jian-Tao Sun, Jeffrey Junfeng Pan, Kangheng Wu, Jie Yin and Qiang Yang. Query Enrichment for Web-query Classification. ACM Transactions on Information Systems,  Volume 24 ,  Issue 3, pp. 320 - 352   (July 2006).

31.   Qiang Yang, Charles Ling, Xiaoyong Chai and Rong Pan. Test-Cost Sensitive Classification on Data with Missing Values. IEEE Transactions on Data and Knowledge Engineering, (IEEE TKDE), 18(5): 626-638 (2006) .

32.   Dou Shen, Rong Pan, Jian-Tao Sun, Jeffrey Junfeng Pan, Kangheng Wu, Jie Yinand Qiang Yang. Q2C@UST: Our Winning Solution to Query Classification in KDD Cup 2005. SIGKDD Exploration, December 2005, Volume 7, Issue 2, pp. 100-110.

33.   Rong Pan, Qiang Yang, Junfeng Pan  and  Lei Li. Competence Driven Case-Base Mining. Proceedings, The Twentieth National Conference on Artificial Intelligence and the Seventeenth Innovative Applications of Artificial Intelligence Conference (AAAI), July 9-13, 2005, Pittsburgh, Pennsylvania, USA. AAAI Press / The MIT Press 2005, ISBN 1-57735-236-X. 228--233.

34.   Yiming Yang, Qiang Yang, Jialin Pan, Rong Pan, et al. Preprocessing Time Series Data for Classification with Application to CRM.  In: Proceedings of the 2005 Australian Conference on Artificial Intelligence, AI'05, Sydney, Australia.  Dec 2005. 

35.   Rong Pan, Qiang Yang and Lei Li. Case Retrieval using Nonlinear Feature-space TransformationIn Advances in Case-Based Reasoning: 7th European Conference (ECCBR 2004), Series : Lecture Notes in Computer Science, Madrid, Spain, August 30 - September 2, 2004, ISBN 3-540-22882-9. Page: 361-374.

36.   YANG, Yiming, Rong Pan, PANJialin, YANG Qiang and LILei. A Comparative Study on Time Series Classification. In Chinese Journal of Computers (CJC). Issue 8, August 2007. Pages 1259-1266. (In Chinese)

37.   Yang, Yiming, Pan Rong, Huang Ping and Li Lei. The Application of Bitmap Algorithm for Flux and Direction Analysis of Long-distance Call. APPLICATION RESEARCH OF COMPUTERS, 2005 Vol.22 No.2, Page: 170~172.

38.   Li Jinlong, Pan Rong. Analysis and Prediction of Multimedia Popularity in VOD System. ACTA SCIENTIARUM NATURALIUM UNIVERSITATIS SUNYATSENI, 2003 Vol.42 No.z1. Page: 261~263

39.   Liang Qifeng, Pan Rong, Li Lei. VOD Playback Algorithm Based on Client Cache. NCMT2003. Guizhou, China.

40.   Pan Rong, Li Lei, Zhen Xiaohui. SOM Applied in Forecasting System with Weak Correlation. CMLW2002. Guangzhou, China. Journal of Nanjing University, 2002.

41.   Pan Rong, Zhou Zan, Liu Huadong and Li Lei. Perform the Interactivity in Harmonic Broadcasting with D-IDEAL Algorithm. NCMT2002. Dongguan, China.


Awards

  • Query Categorization Precision Award
  • Query Categorization Performance Award
  • Query Categorization Creativity Award

See related news items at: 1) School of Engineering; 2) DCST; 3) KDnuggets.   Also see our system demonstration: http://q2c.cs.ust.hk/q2c/


 

Professional Services


Last Modified: June, 2020

 

Locations of visitors to this page