Publications

My publication list in Google Scholar and DBLP.

Journal Papers

1. "Link Prediction with Contextualized Self-Supervision", IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE), volume 35, issue 7, pages 7138–7151, 2023.

2. "Informative Pseudo-Labeling for Graph Neural Networks with Few Labels", Yayong Li, Jie Yin, and Ling Chen. Data Mining and Knowledge Discovery (DMKD), volume 37, pages 228 - 254, 2023.

3. "LADDER: Latent Boundary-guided Adversarial Training", Xiaowei Zhou, Ivor W. Tsang and Jie Yin. Machine Learning, September 2022.

4. "SEAL: Semi-supervised Adversarial Active Learning on Attributed Graphs", Yayong Li, Jie Yin, LIng Chen. IEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), volume 32, issue 7, pages 3136–3147, 2021.

5. "Search Efficient Binary Network Embedding", Daokun Zhang, Jie Yin, Xingquan Zhu, and Chengqi Zhang. ACM Transactions on Knowledge Discovery from Data (ACM TKDD ), volume 15, issue 4, Article No. 16, pages 1–27, 2021.

6. "Sequence Classification Restricted Boltzmann Machines With Gated Units", Son N. Tran, Artur d'Avila Garcez, Garcez Weyde, Jie Yin, Qing Zhang, and Mohan Karunanithi, IEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), volume 31, number 11, pages 4806-4815, 2020.

7. "SMINT: Toward Interpretable and Robust Model Sharing for Deep Neural Networks", Huijun Wu, Chen Wang, Richard Nock, Wei Wang, Jie Yin, Kai Lu, Liming Zhu. ACM Transactions on the Web (ACM TWEB), volume 14, issue 3, pages 1–28, 2020.

8. "Network Representation Learning: A Survey", Daokun Zhang, Jie Yin, Xingquan Zhu, and Chengqi Zhang. IEEE Transactions on Big Data (IEEE TBD), volume 6, issue 1, pages 3–28, 2020.

9. "Attributed Network Embedding via Subspace Discovery", Daokun Zhang, Jie Yin, Xingquan Zhu, and Chengqi Zhang. Data Mining and Knowledge Discovery (DMKD), volume 33, issue 6, pages 1953–1980, 2019.

10. "Introduction to the Special Issue on AI for Disaster Management and Resilience", Yu-Ru Lin, Carlos Castillo, Jie Yin, IEEE Intelligent Systems (IEEE IS), volume 34, issue 3, pages 3-5, 2019.

11. "Data Subset Selection with Imperfect Multiple Labels", Meng Fang, Tianyi Zhou, Jie Yin, Yang Wang, and Daocheng Tao, IEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), volume 30, issue 2, pages 2212-2221, 2019.

12. "Predicting Adverse Drug Reactions of Combined Medication from Heterogeneous Pharmacologic Databases", Yi Zheng, Hui Peng, Xiaocai Zhang, Zhixun Zhao, Jie Yin, and Jinyan Li. BMC Bioinformatics, volume 19, Supplement 19: 517, 2018.

13. "Active Multitask Learning with Trace Norm Regularization based on Excess Risk", Meng Fang, Jie Yin, Lawrence O. Hall, and Dacheng Tao. IEEE Transactions on Cybernetics (IEEE CYB), volume 47, issue 11, pages 2168-2267, 2017.

14. "Push Notifications in Diet Apps: Influencing Engagement Times and Tasks", Jill Freyne, Jie Yin, Emily Brindal, Gilly A Hendrie, Shlomo Berkovsky, and Manny Noakes. International Journal of Human Computer Interaction, volume 33, issue 10, pages 833-845, 2017.

15. "A Multiple-instance Stream Learning Framework for Adaptive Document Categorization", Yanshang Xiao, Bo Liu, Jie Yin, and Zhifeng Hao. Knowledge-based Systems, volume 120, pages 198–210, 2017.

16. "Supervised Sampling for Networked Data", Meng Fang, Jie Yin, and Xingquan Zhu. Signal Processing, volume 124, pages 93–102, 2016.

17. "Modeling Mobile Cellular Networks Based on Social Characteristics", Ji Ma, Wei Ni, Jie Yin, Ren Ping Liu, Binxing Yuan, and Yuyu Fang. International Journal of Computers, Communications & Control, volume 11, number 4, pages 480–492, 2016.

18. "Active Exploration for Large Graphs", Meng Fang, Jie Yin, and Xingquan Zhu. Data Mining and Knowledge Discovery (DMKD), volume 30, issue 3, pages 511-549, 2016.

19. "TrGraph: Cross-Network Transfer Learning via Common Signature Subgraphs", Meng Fang, Jie Yin, Xingquan Zhu, and Chengqi Zhang. IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE), volume 27, number 9, pages 2536–2549, 2015.

20. "Evaluation Methods for Statistically Dependent Text", Sarvnaz Karimi, Jie Yin, and Jiri Baum. Computational Linguistics, volume 41, issue 3, pages 539-548, 2015.

21. "Using Social Media to Enhance Emergency Situation Awareness", Jie Yin, Andrew Lampert, Mark Cameron, Bella Robinson, and Robert Power. IEEE Intelligent Systems (IEEE IS), volume 27, issue 6, pages 52–59, 2012.

22. "Tracking Mobile Users in Wireless Networks via Semi-Supervised Co-Localization", Jeffrey J. Pan, Sinno J. Pan, Jie Yin, Lionel M. Ni, and Qiang Yang. IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE TPAMI), volume 34, number 3, pages 587–600, 2012.

23.  "Activity Recognition via User-Trace Segmentation", Jie Yin, Qiang Yang, Dou Shen and Ze-Nian Li. ACM Transactions on Sensor Networks (ACM TOSN), volume 4, number 4, article 19, 2008.

24. "Sensor-Based Abnormal Human-Activity Detection", Jie Yin, Qiang Yang and Jeffrey J. Pan. IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE), volume 20, number 8, pages 1082–1090, 2008.

25. "Learning Adaptive Temporal Radio Maps for Signal Strength-Based Location Estimation", Jie Yin, Qiang Yang and Lionel M. Ni. IEEE Transactions on Mobile Computing (IEEE TMC), volume 7, number 7, pages 869-883, 2008.

26. "Extracting Actionable Knowledge from Decision Trees", Qiang Yang, Jie Yin, Charles X. Ling and Rong Pan. IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE), volume 19, number 1, pages 43–56, 2007.

27. "Query Enrichment for Web-Query Classification", Dou Shen, Rong Pan, Jiantao Sun, Jeffrey J. Pan, Kangheng Wu, Jie Yin and Qiang Yang. ACM Transactions on Information Systems (ACM TOIS), volume 24, number 3, pages 1–33, 2006.

28. "Power-Efficient Access-Point Selection for Indoor Location Estimation", Yiqiang Chen, Qiang Yang, Jie Yin and Xiaoyong Chai. IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE), volume 18, number 7, pages 877–888, 2006.

29. "Q2C@UST: our winning solution to query classification in KDDCUP 2005", Dou Shen, Rong Pan, Jiantao Sun, Jeffrey J. Pan, Kangheng Wu, Jie Yin and Qiang Yang. SIGKDD Explorations, volume 7, number 2, pages 100-110, 2005. 

Conference Papers

1. "Hierarical Relational Learning for Few-Shot Knowledge Graph Completion", Han Wu, Jie Yin, Bala Rajaratnam, Jianyuan Guo. In Proceedings of the International Conference on Learning Representations (ICLR'23), Kigali, Rwanda, May 1 -5, 2023.

2. "Conflict-Aware Pseudo Labeling via Optimal Transport for Entity Alignment", Qijie Ding, Daokun Zhang, and Jie Yin. In Proceedings of the 22nd IEEE International Conference on Data Mining (ICDM'22), pages 915-920,, Orlando, Florida, USA, November 28 - December 1, 2022.

3. "Edge but not Least: Cross-View Graph Pooling", Xiaowei Zhou, Jie Yin, and Ivor W. Tsang. In Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD'22), pages 344-359, Grenoble, France, September 19 - 23, 2022.

4. "Towards Deepening Graph Neural Networks: A GNTK-based Optimization Perspective", Wei Huang, Yayong Li, Weitao Du, Jie Yin, Richard Xu, Ling Chen, and Miao Zhang. In Proceedings of the International Conference on Learning Representations (ICLR'22), 2022.

5. "Human-Understandable Decision Making for Visual Recognition", Xiaowei Zhou, Jie Yin, and Ivor W. Tsang. In Proceedings of 25th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD'21), pages 168-180, 2021.

6. "Unified Robust Training for Graph Neural Networks against Label Noise", Yayong Li, Jie Yin, and Ling Chen. In Proceedings of 25th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD'21), pages 528-540, 2021.

7. "SINE: Scalable Incomplete Network Embedding", Daokun Zhang, Jie Yin, Xingquan Zhu, and Chengqi Zhang. In Proceedings of the IEEE International Conference on Data Mining (ICDM'18), pages 737-746, Singapore, November 17-20, 2018.

8. "Human Identification via Unsupervised Feature Learning from UWB Radar Data", Jie Yin, Son N. Tran, and Qing Zhang. In Advances in Knowledge Discovery and Data Mining: 22nd Pacific-Asia Conference, PAKDD '18, Melbourne, VIC, Australia, June 3-6, 2018, Proceedings, Part I (Lecture Notes in Computer Science: volume 10937), pages 322-334, 2018.

9. "MetaGraph2Vec: Complex Semantic Path Augmented Heterogeneous Network Embedding", Daokun Zhang, Jie Yin, Xingquan Zhu, and Chengqi Zhang. In Advances in Knowledge Discovery and Data Mining: 22nd Pacific-Asia Conference, PAKDD '18, Melbourne, VIC, Australia, June 3-6, 2018, Proceedings, Part II (Lecture Notes in Computer Science: volume 10938), pages 196-208, 2018.

10. "Sharing Deep Neural Network Models with Interpretation", Huijun Wu, Chen Wang, Jie Yin, Kai Lu, and Liming Zhu. In Proceedings of the World Wide Web Conference (WWW'18), pages 177-186, Lyon, France, April 23-27, 2018.

11. "User Profile Preserving Social Network Embedding", Daokun Zhang, Jie Yin, Xingquan Zhu, and Chengqi Zhang. In Proceedings of the 26th International Joint Conference on Artificial Intelligence (IJCAI’17), pages 3378–3384, Melbourne, Australia, August 19–25, 2017.

12. "Homophily, Structure, and Content Augmented Network Representation Learning", Daokun Zhang, Jie Yin, Xingquan Zhu, and Chengqi Zhang. In Proceedings of the IEEE International Conference on Data Mining (ICDM’16), pages 609–618, Barcelona, Spain, December 12–15, 2016.

13. "Collective Classification via Discriminative Matrix Factorization on Sparsely Labeled Networks", Daokun Zhang, Jie Yin, Xingquan Zhu, and Chengqi Zhang. In Proceedings of the 25th ACM International on Conference on Information and Knowledge Management (CIKM’16), pages 1563–1572, Indianapolis, USA, October 24–28, 2016.

14. "TrGraph: Cross-Network Transfer Learning via Common Signature Subgraphs (Extended Abstract)", Meng Fang, Jie Yin, Xingquan Zhu, and Chengqi Zhang. In Proceedings of the 32nd IEEE Conference on Data Engineering (ICDE’16), pages 1534–1535, Helsinki, Finland, May 16–20, 2016.

15. "Multi-resident Location Tracking in Smart Home through Non-wearable Unobtrusive Sensors", Jie Yin, Meng Fang, Ghassem Mokhtari, and Qing Zhang. In Proceedings of the 14th International Conference on Smart homes and Health Telematics (ICOST’16), pages 3–13, Wuhan, China, May 25–27, 2016.

16. "Submodular Asymmetric Feature Selection in Cascade Object Detection", Baosheng Yu, Meng Fang, Dacheng Tao, and Jie Yin. In Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence (AAAI’16), pages 1387–1393, , Phoenix, Arizona USA, February 12-17, 2016.

17. "Unsupervised Daily Routine and Activity Discovery in Smart Homes", Jie Yin, Qing Zhang, and Mohan Karunanithi. In Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC’15), Milan, Italy, August 25–29, 2015.

18. "Using Social Media to Enhance Emergency Situation Awareness: Extended Abstract", Jie Yin, Sarvnaz Karimi, Andrew Lampert, Mark Cameron, Bella Robinson, and Robert Power. In Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence (IJCAI’15), pages 4234–4238, Buenos Aires, Argentina, July 25–31, 2015.

19. "Modeling Social Characteristics of Mobile Radio Networks", Ji Ma, Wei Ni, Jie Yin, Shangjing Lin, Hongyan Cui, Renping Liu, and Binxing Fang. In Proceedings of the 2015 IEEE ICC Workshop on Dynamic Social Networks, London, UK, June 8–12, 2015.

20. "Pinpointing Locational Focus in Tweets", Jie Yin, Sarvnaz Karimi and John Lingad. In Proceedings of the Nineteenth Australasian Document Computing Symposium (ADCS’14), pages 66-72, Melbourne, Australia, November 27–28, 2014.

21. "Active Learning for Crowdsourcing Using Knowledge Transfer", Meng Fang, Jie Yin and Dacheng Tao. In Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence (AAAI’14), Pages 1809–1815, Quebec City, Quebec, Canada, July 27–31, 2014.

22. "Transfer Learning across Networks for Collective Classification", Meng Fang, Jie Yin and Xingquan Zhu. In Proceedings of the Thirteenth IEEE International Conference on Data Mining (ICDM'13), Pages 161–170, Dallas, Texas, USA, December 7–10, 2013.

23. "Classifying Microblogs for Disasters", Sarvnaz Karimi, Jie Yin and Cecile Paris. In Proceedings of the Eighteenth Australasian Document Computing Symposium (ADCS’13), Pages 26–33, Brisbane, Australia, December 5–6,2013.

24. "Active Exploration: Simultaneous Sampling and Labeling for Large Graphs", Meng Fang, Jie Yin and Xingquan Zhu. In Proceedings of the Twenty-Second ACM International Conference on Information and Knowledge Management (CIKM’13), Pages 829–834, Burlingame, CA, USA, October 27–November 1, 2013.

25. "Clustering Microtext Streams for Event Identification", Jie Yin. In Proceedings of the Sixth International Joint Conference on Natural Language Processing (IJCNLP’13), Pages 719–725, Nagoya, Japan, October 14–18, 2013.

26. "Knowledge Transfer for Multi-Labeler Active Learning", Meng Fang, Jie Yin and Xingquan Zhu. In Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD’13), Lecture Notes in Computer Science, Pages 273–288, Prague, Czech Republic, September 23–27, 2013.

27. "Location Extraction from Disaster-Related Microblogs", John Lingad, Sarvnaz Karimi and Jie Yin. In Proceedings of the Twenty-Second International Conference Companion on World Wide Web, Pages 1017-1020, Rio de Janeiro, Brazil, May 13–17, 2013.

28. "Active Class Discovery and Learning for Networked Data", Meng Fang, Jie Yin, Xingquan Zhu and Chengqi Zhang. In Proceedings of the Thirteen SIAM International Conference on Data Mining (SDM’13), Pages 315–323, Austin, Texas, USA, May 2–4, 2013.

29. "Searching and Filtering Tweets: CSIRO at the TREC 2012 Microblog Track", Sarvnaz Karimi, Jie Yin and Paul Thomas. In Proceedings of the Thirty-first Text Retrieval Conference (TREC’12), Gaithersburg, Maryland, USA, 2012.

30. "ESA: Emergency Situation Awareness via Microbloggers", Jie Yin, Sarvnaz Karimi, Bella Robinson and Mark Cameron. In Proceedings of the Twenty-First ACM International Conference on Information and Knowledge Management (CIKM’12), Pages 2701–2703, October 29–November 2, Maui, Hawaii, USA, 2012.

31. "Unifying Local and Global Agreement and Disagreement Classification in Online Debates", Jie Yin, Nalin Narang, Paul Thomas and Cecile Paris. In Proceedings of the ACL Workshop on Computational Approaches to Subjectivity and Sentiment Analysis, Pages 61–69, July 8–14, Jeju Island, Korea, 2012.

32. "Emergency Situation Awareness from Twitter for Crisis Management", Mark Cameron, Robert Power, Bella Robinson and Jie Yin. In Proceedings of the Twenty-First International Conference Companion of World Wide Web, Pages 695–698, April 16–20, Lyon, France, 2012.

33. "Similarity-based Approach for Positive and Unlabeled Learning", Yanshan Xiao, Bo Liu, Jie Yin, Longbing Cao, Chengqi Zhang and Zhifeng Hao. In Proceedings of the Twenty-Second International Joint Conference on Artificial Intelligence (IJCAI’11), Pages 1577–1582, Barcelona, Spain, July 16–22, 2011.

34. "Exploiting Local Data Uncertainty to Boost Global Outlier Detection", Bo Liu, Jie Yin, Yanshan Xiao, Longbing Cao and Philip Yu. In Proceedings of the Tenth IEEE International Conference on Data Mining (ICDM’10), pages 589–598, Sydney, Australia, December 13– 17, 2010.

35. "SMILE: A Similarity-based Approach for Multiple Instance Learning", Yanshan, Bo Liu, Longbing Cao, Jie Yin and Xindong Wu. In Proceedings of the Tenth IEEE International Conference on Data Mining (ICDM’10), pages 309–313, Sydney, Australia, December 13– 17, 2010.

36. "Spatio-Temporal Event Detection Using Dynamic Random Fields", Jie Yin, Derek H. Hu and Qiang Yang. In Proceedings of the Twenty-first International Joint Conference on Artificial Intelligence (IJCAI’09), pages 1321–1326, Pasadena, California, USA, July 11–17, 2009.

37. "Abnormal Activity Recognition Based on HDP-HMM Models", Derek H. Hu, Xian-Xing Zhang, Jie Yin, Vincent W. Zheng and Qiang Yang. In Proceedings of the Twenty-first International Joint Conference on Artificial Intelligence (IJCAI’09), pages 1715–1720, Pasadena, California, USA, July 11–17, 2009.

38. "Clustering Distributed Time Series in Sensor Networks", Jie Yin and Mohamed M. Gaber. In Proceedings of the Eighth IEEE International Conference on Data Mining (ICDM’08), pages 678–687, Pisa, Italy, December 15–19, 2008.

39. "Integrating Hidden Markov Models and Spectral Analysis for Sensory Time Series Clustering", Jie Yin and Qiang Yang. In Proceedings of the Fifth IEEE International Conference on Data Mining (ICDM’05), pages 506–513, Houston, Texas, USA, November 27–30, 2005.

40. "Activity Recognition through Goal-Based Segmentation", Jie Yin, Dou Shen, Qiang Yang and Ze-Nian Li. In Proceedings of the Twentieth National Conference on Artificial Intelligence (AAAI’05), pages 28–33, Pittsburgh, Pennsylvania, USA, July 9–13, 2005.

41. "Adaptive Temporal Radio Maps for Indoor Location Estimation", Jie Yin, Qiang Yang and Lionel M. Ni. In Proceedings of the Third Annual IEEE International Conference on Pervasive Computing and Communications (PerCom’05), pages 85–94, Kauai Island, Hawaii, USA, March 8–12, 2005.

42. "High-Level Goal Recognition in a Wireless LAN", Jie Yin, Xiaoyong Chai and Qiang Yang. In Proceedings of the Nineteenth National Conference on Artificial Intelligence (AAAI’04), pages 578–584, San Jose, California, USA, July 25–29, 2004.

43. "LEAPS: A Location Estimation and Action Prediction System in a Wireless LAN Environment", Qiang Yang, Yiqiang Chen, Jie Yin and Xiaoyong Chai, In Proceedings of IFIP International Conference on Network and Parallel Computing Workshop on Building Intelligent Sensor Networks, pages 584–591, Wuhan, China, October 9, 2004.

44. "Post-Processing Decision Trees to Extract Actionable Knowledge", Qiang Yang, Jie Yin, Charles X. Ling and Tielin Chen. In Proceedings of the Third IEEE International Conference on Data Mining (ICDM’03), pages 685–688, Melbourne, Florida, USA, November 19–22, 2003.

Workshop Proceedings

1. "The 5th International Workshop on Social Web for Disaster Management (SWDM'18): Collective Sensing, Trust, and Resilience in Global Crises", Yu-Ru Lin, Carlons Castillo, Jie Yin. In Proceedings of the 11th ACM International Conference on Web Search and Data Mining (WSDM'18), pages 791-792, Los Angeles, California, USA, February 5-9, 2018.

2. "The Fourth International Workshop on Social Web for Disaster Management (SWDM 2016)", Carlos Castillo, Fernando Diaz, Yu-Ru Lin, and Jie Yin. In Proceedings of the 25th ACM International on Conference on Information and Knowledge Management (CIKM’16), pages 2503–2504, Indianapolis, USA, October 24–28, 2016.