INARC Research Publications (Accepted and Published Papers)

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Note 1: This website lists INARC accepted and published papers. For the submitted papers that need to inform government leads and IRC, please submit the papers to the corresponding parties for review. To keep the confidentiality of the authors' work, we will not list any submitted paper here.
Note 2: Please submit your papers based on the areas of the work in order for others to search easily. Please list the full name of the conference, location, and month/year of each publication.

APP3 Research Publications since Sept. 2-11

Edin E2.2. 

  1. Lu-An Tang, Quanquan Gu, Xiao Yu, Jiawei Han, Thomas La Porta, Alice Leung, Tarek Abdelzaher, and Lance Kaplan, "IntruMine: Mining Intruders in Untrustworthy Data of Cyber-Physical Systems", Proc. 2012 SIAM Int. Conf. on Data Mining (SDM'12), Anaheim, CA, April 2012.
  2. Lu-An Tang, Yu Zheng, Jing Yuan, Jiawei Han, Alice Leung, Chih-Chieh Hung, and Wen-Chih Peng, "On Discovery of Traveling Companions from Streaming Trajectories", Proc. 2012 IEEE Int. Conf. on Data Engineering (ICDE'12), Arlington, VA, Apr. 2012.
  3. Lu-An Tang, Xiao Yu, Sangkyum Kim, Jiawei Han, Yizhou Sun, Wen-Chih Peng, Hector Gonzalez, Sebastian Seith, "Multidimensional Analysis of Atypical Events in Cyber-Physical Data", Proc. 2012 IEEE Int. Conf. on Data Engineering (ICDE'12), Arlington, VA, Apr. 2012.
  4. Zhenhui Li, Jiawei Han, Ming Ji, Lu-An Tang, Yintao Yu, Bolin Ding, Jae-Gil Lee, and Roland Kays, "MoveMine: Mining Moving Object Data for Discovery of Animal Movement Patterns", ACM Transactions on Intelligent Systems and Technology (ACM TIST), 2(4):37, 2011.

EDIN E2.5.

  1. Yizhou Sun, Jiawei Han, Charu C. Aggarwal, and Nitesh Chawla, “When Will It Happen? Relationship Prediction in Heterogeneous Information Networks”, Proc. 2012 ACM Int. Conf. on Web Search and Data Mining (WSDM'12), Seattle, WA, Feb. 2012.

INARC I3.1.

  1. Quanquan Gu, Marina Danilevsky, Zhenhui Li, and Jiawei Han, “Locality Preserving Feature Learning”, Proc. 2012 Int. Conf. on Arti cial Intelligence and Statistics (AISTAT'12), La Palma, Canary Islands, April 2012.
  2. Ming Ji, Xiaofei He, and Jiawei Han, “A Variance Minimization Criterion to Active Learning on Graphs”, Proc. 2012 Int. Conf. on Arti cial Intelligence and Statistics (AISTAT'12), La Palma, Canary Islands, April 2012.
  3. Xiao Yu, Quanquan Gu, Mianwei Zhou, and Jiawei Han, "Citation Prediction in Heterogeneous Bibliographic Networks", Proc. 2012 SIAM Int. Conf. on Data Mining (SDM'12), Anaheim, CA, April 2012.
  4. Yizhou Sun, Charu C. Aggarwal, and Jiawei Han, “Relation Strength-Aware Clustering of Heterogeneous Information Networks with Incomplete Attributes”, Proc. 2012 Int. Conf. on Very Large Data Bases (VLDB'12/PVLDB), Istanbul, Turkey, Aug. 2012.
  5. Quanquan Gu and Jiawei Han, "Towards Feature Selection in Network", Proc. 2011 Int. Conf. on Information and Knowledge Management (CIKM'11), Glasgow, UK, Oct. 2011
  6. Quanquan Gu, Zhenhui Li, and Jiawei Han, "Correlated Multi-Label Feature Selection", Proc. 2011 Int. Conf. on Information and Knowledge Management (CIKM'11), Glasgow, UK, Oct. 2011
  7. Quanquan Gu, Zhenhui Li, and Jiawei Han, "Linear Discriminant Dimensionality Reduction",  Proc. 2011 European Conf. on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECMLPKDD'11), Athens, Greece, Sept. 2011

INARC I3.2.

  1. Bo Zhao, Benjamin I. P. Rubinstein, Jim Gemmell, and Jiawei Han, "A Bayesian Approach to Discovering Truth from Conflicting Sources for Data Integration", Proc. 2012 Int. Conf. on Very Large Data Bases (VLDB'12/PVLDB), Istanbul, Turkey, Aug. 2012.
  2. Manish Gupta, Peixiang Zhao, and Jiawei Han, "Evaluating Event Credibility on Twitter", Proc. 2012 SIAM Int. Conf. on Data Mining (SDM'12), Anaheim, CA, April 2012.
  3. Chi Wang, Jiawei Han, Qi Li, Xiang Li, Wen-Pin Lin, and Heng Ji, "Learning Hierarchical Relationships among Partially Ordered Objects with Heterogeneous Attributes and Links", Proc. 2012 SIAM Int. Conf. on Data Mining (SDM'12), Anaheim, CA, April 2012.
  4. Xin Jin, Scott Spangler, Ying Chen, Keke Cai, Rui Ma, Li Zhang, Xian Wu and Jiawei Han, "Patent Maintenance Recommendation with Patent Information Network Model", Proc. 2011 IEEE Int. Conf. on Data Mining (ICDM'11), Vancouver, Canada, Dec. 2011.
  5. Cindy Xide Lin, Qiaozhu Mei, Jiawei Han, Yunliang Jiang, and Marina Danilevsky, "The Joint Inference of Topic Diffusion and Evolution in Social Communities", Proc. 2011 IEEE Int. Conf. on Data Mining (ICDM'11), Vancouver, Canada, Dec. 2011.
  6. Zhijun Yin, Liangliang Cao, Jiawei Han, Chengxiang Zhai, and Thomas Huang, "LPTA: A Probabilistic Model for Latent Periodic Topic Analysis", Proc. 2011 IEEE Int. Conf. on Data Mining (ICDM'11), Vancouver, Canada, Dec. 2011.
  7. Hao Li, Heng Ji, Hongbo Deng, Jiawei Han, "Exploiting Background Information Networks to Enhance Bilingual Event Extraction Through Topic Modeling", Proc. of International Conference on Advances in Information Mining and Management (IMMM2011), Barcelona, Spain, Oct. 2011.

APP Research Publications (Sept. 2010 to Aug. 2011)

Web page link to INARC APP MidYear Review Meeting

EDIN

2011
  1. Zhijun Yin, Liangliang Cao, Jiawei Han, Jiebo Luo, and Thomas Huang, "Diversified Trajectory Pattern Ranking in Geo-tagged Social Media", Proc. of 2011 SIAM Conf. on Data Mining (SDM'11), Phoenix, AZ, Apr. 2011.
2010
  1. Zhenhui Li, Jiawei Han, Ming Ji, Lu-An Tang, Yintao Yu, Bolin Ding, Jae-Gil Lee, and Roland Kays, "MoveMine: Mining Moving Object Data for Discovery of Animal Movement Patterns", ACM Transactions on Intelligent Systems and Technology (ACM-TIST) (Special Issue on Computational Sustainability), accepted Aug. 2010.
  2. Lu-An Tang, Xiao Yu, Sangkyum Kim, Jiawei Han, Chih-Chieh Hung, and Wen-Chih Peng, "Tru-Alarm: Trustworthiness Analysis of Sensor Networks in Cyber-Physical Systems", Proc. of 2010 Int. Conf. on Data Mining (ICDM'10), Sydney, Australia, Dec. 2010
  3. P. Bogdanov, Nicholas D. Larusso and Ambuj K. Singh, "Towards Community Discovery in Signed Collaborative Interaction Networks", SIASP'10, ICDM'10

Trust

2011
  1. Svetlin Bostandjiev, John O'Donovan, Brynjar Gretarsson, Christopher Hall, Tobias Hollerer, "WiGiPedia: Visual Editing of Semantic Data in Wikipedia," http://bostandjiev.com/Content/publications/bostandjiev.pdf, Workshopon Visual Interfaces to the Social and Semantic Web  (VISSW2011), Co-located with ACM IUI 2011, Feb 13, 2011, Palo Alto.

 
 

I1.1

2011
  1. Fatemeh Saremi, Forrest Iandola, Tarek Abdelzaher, Praveen Jayachandran, Aylin Yener, "Real-time Capacity of Networked Data Fusion," (submitted to) Fusion, 2011.
  2. Raghu Ganti, Fan Ye, Hui Lei, "Mobile Crowdsensing: Current State and Future Challenges", in submission to IEEE Comm. Magazine
  3. Gourab Kundu, Rajhans Samdani, Dan Roth, "Constrained Conditional Models for Information Fusion", Proc. of International Conference on Information Fusion, Chicago, IL, July 2011.
  4. G. Kundu, M. Chang and D. Roth, "Prior Knowledge Driven Domain Adaptation". Proc. of the International Conference on Machine Learning Workshop on Combining Learning Strategies to Reduce Label Cost, Bellevue, WA, July 2011.
  5. G. Kundu and D. Roth, "Adapting Text Instead of the Model : An Open Domain Approach", Proc. of the Conference on Computational Natural Language Learning: Shared Task (CoNLL), Portland, OR, June 2011 (best student paper award).
  6. K. Chang, R. Samdani, A. Rozovskaya, N. Rizzolo, M. Sammons and D. Roth, "Inference Protocols for Coreference Resolution", Proc. of the Conference on Computational Natural Language Learning: Shared Task (CoNLL), Portland, OR, June 2011.
  7. G. Qi, C. Aggarwal, T. Huang, "Towards Semantic Knowledge Propagation between Text and Web Images," WWW Conference, 2011
  8. Guo-Jun Qi, Charu Aggarwal,Yong Rui, Qi Tian, Shiyu Chang, Thomas Huang, "Towards Cross-category Knowledge Propagation for Learning Cross-domain Concepts," IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Colorado Springs, CO, June 2011
2010
  1. M. Chang, M. Connor and D. Roth, "The Necessity of Combining Adaptation Methods", Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP) – 2010, Cambridge, MA, Oct. 2010.

I1.2

  1. (UIUC+IBM) Hossein Ahmadi, Tarek Abdelzaher, Jiawei Han, Raghu K. Ganti, and Nam Pham, "On Reliable Modeling of Open Cyber-physical Systems and its Application to Green Transportation", Proc. of 2011 ACM/IEEE Int. Conf. on Cyber-Physical Systems (ICCPS'11), Chicago, IL, Apr. 2011
  2. (IBM+UIUC) Charu C. Aggarwal (editor), Social Network Data Analystics, Springer, 2011.
  3. (INARC+SCNARC) Mani Srivastava, Tarek Abdelzaher, Boleslaw Szymanski, "Human-centric Sensing," Philosophical Transactions of the Royal Society, special issue on Wireless Sensor Networks, to appear, 2011
  4. (INARC+SCNARC)H. Khac Le, J. Pasternack, H. Ahmadi, M. Gupta, Y. Sun, T. Abdelzaher, J. Han, D. Roth, B. Szymanski, S. Adali "Apollo: Towards Factfinding in Participatory Sensing," IPSN Demo, April 2011
  5. (INARC+CNARC) Md Y.S. Uddin, Guo-Jun Qi, Tarek Abdelzaher, and Guohong Cao, "PhotoNet: A Similarity-aware Image Delivery Service for Situation Awareness," IPSN Demo, April 2011
  6. (IBM+CUNY) Charu Aggarwal, Amotz Bar-Noy, Simon Shamoun, "On Sensor Selection in Linked Information Networks," IEEE DCoSS, Barcelona, Spain, June 2011
  7. (UIUC+IBM) Dong Wang, Hossein Ahmadi, Tarek Abdelzaher, Harsha Chenji, Radu Stoleru, Charu Aggarwal, "Optimizing Quality-of-Information in Cost-sensitive Sensor Data Fusion," IEEE DCoSS, Barcelona, Spain, June 2011
  8. (UIUC+IBM) Tarek Abdelzaher, Dong Wang, Hossein Ahmadi, Jeff Pasternack, Dan Roth, Omid Fatemieh, Hieu Le, and Charu Aggarwal, "On Bayesian Interpretation of Fact-finding in Information Networks," submitted to Fusion 2011
  9. (IBM+UIUC) G. Qi, C. Aggarwal, T. Huang, "Towards Semantic Knowledge Propagation between Text and Web Images," WWW Conference, 2011
  10. (IBM+UIUC) Guo-Jun Qi, Charu Aggarwal, Yong Rui, Qi Tian, Shiyu Chang, and Thomas Huang, "Towards Cross-category Knowledge Propagation for Learning Cross-domain Concepts," IEEE Conference on Vision and Pattern Recognition (CVPR 2011), Colorado Springs, Colorado, June 2011

I2.1

2011
  1. W. Gao, M. Srivatsa, A. Iyengar and G. Cao. Cooperative Caching for Efficient Data Access in Disruption Tolerant Networks. Submitted to IEEE Transactions on Mobile Computing (TMC) (IBM-US/INARC & PSU/CNARC)
  2. F. Le, M. Srivatsa and A. Iyengar. Data Redundancy Elimination in the Presence of Unreliable Packet Delivery. Submitted to ICNP 2011
  3. M. Srivatsa, L. Liu and A. Iyengar. EventGuard: A System Architecture for Securing Publish-Subscribe Networks. To appear in ACM Transactions on Computer Systems (TOCS)
  4. M. Srivatsa, A. Iyengar and W. Gao. Provenance Driven Data Dissemination in Disruption Tolerant Networks. In IEEE Fusion 2011 (IBM-US/INARC & PSU/CNARC)
  5. W. Gao, A. Iyengar, M. Srivatsa and G. Cao. Supporting Cooperative Caching in Disruption Tolerant Networks. In IEEE Intl Conference on Distributed Computing Systems (ICDCS), June 2011 (IBM-US/INARC & PSU/CNARC)
  6. Y. Zhang, W. Gao, G. Cao, T. La Porta, B. Krishnamachari, and A. Iyengar. Social-Aware Data Diffusion in Delay Tolerant MANETs. Book chapter to appear in Handbook of Optimization in Complex Networks: Communication and Social Networks, Springer. (IBM/INARC & PSU/CNARC)
  7. W. Gao, A. Iyengar and M. Srivatsa. System and Method for Caching Provenance Information. Patent filed. (IBM/INARC & PSU/CNARC)

I2.2

  1. A. Khan, N. Li, Z. Guan, X. Yan, S. Chakraborty, and S. Tao, Neighborhood Based Fast Graph Search in Large Networks, Proc. 2011 Int. Conf.  on Management of Data (SIGMOD'11), 2011.
  2. Nicholas D Larusso and Ambuj K. Singh, "Synopses for Probabilistic Data over Large Domains", EDBT'11
  3. C. C. Aggarwal, N. Li, On Dynamic Node-Classification in Content-based Networks, SIAM International Conference on Data Mining (SDM) 2011
  4. U Kang, Brendan Meeder, Christos Faloutsos, Spectral Analysis of Billion-Scale Graphs: Discoveries and Implementation, PAKDD'11
  5. U Kang, Duen Horng Chau, and Christos Faloutsos. Mining Large Graphs: Algorithms, Inference, and Discoveries. IEEE International Conference on Data Engineering (ICDE) 2011, Hannover, Germany.
  6. U Kang, Mary McGlohon, Leman Akoglu, and Christos Faloutsos. Patterns on the Connected Components of Terabyte-Scale Graphs. IEEE International Conference on Data Mining (ICDM) 2010, Sydney, Australia. 

I3.1. QoI Mining of Noisy, Volatile, Uncertain, and Incomplete Heterogeneous Information Networks

2011
  1. Peixiang Zhao, Xiaolei Li, Dong Xin, and Jiawei Han, "Graph Cube: On Warehousing and OLAP Multidimensional Networks", Proc. of 2011 ACM SIGMOD Int. Conf. on Management of Data (SIGMOD'11), Athens, Greece, June 2011
  2. Z. Guan, J. Wu,  Z. Yun, A. Singh, X. Yan, Assessing and Ranking Structural Correlations in Graphs, Proc. 2011 Int. Conf. on Management of Data (SIGMOD'11), 2011.
  3. Duen Horng Chau, Carey Nachenberg, Jeffrey Wilhelm, Adam Wright, Christos Faloutsos, Polonium: Tera-Scale Graph Mining and Inference for Malware Detection, SIAM International Conference on Data Mining (SDM) 2011
  4. Qiang Qu, Feida Zhu, Xifeng Yan, Jiawei Han, Philip S. Yu, and Hongyan Li, "Efficient Topological OLAP on Information Networks", Proc. of 2011 Int. Conf. on Database Systems for Advanced Applications (DASFAA'11), Hong Kong, Apr. 2011
  5. Jing Gao, Wei Fan, Deepak S. Turaga, Olivier Verscheure, Xiaoqiao Meng, Lu Su, Jiawei Han, "Consensus Extraction from Heterogeneous Detectors to Improve Performance over Network Traffic Anomaly Detection", Proc. of 2011 IEEE INFOCOM Mini-Conf. (INFOCOM-Mini'11), Shanghai, China, Apr. 2011.
  6. Jie Yu, Xin Jin, Jiawei Han, Jiebo Luo, "Collection-based Sparse Label Propagation and Its Application on Social Group Suggestion from Photos", ACM Transactions on Intelligent Systems and Technology (TIST), 2(2), 2011.
  7. Duen Horng (Polo) Chau, Aniket Kittur, Jason I. Hong, Christos Faloutsos. "Apolo: Making Senses of Large Network Data by Combining Rich User Interaction and Machine Learning", ACM Conference on Human Factors in Computing Systems (CHI 2011).
  8. Duen Horng Chau, Carey Nachenberg, Jeffrey Wilhelm, Adam Wright, Christos Faloutsos, "Polonium: Tera-Scale Graph Mining and Inference for Malware Detection.",SIAM International Conference on Data Mining (SDM) 2011.
  9. Leman Akoglu and Christos Faloutsos, "Event Detection in Time Series of Mobile Communication Graphs", 27th Army Science Conference, Orlando, Florida, Dec. 2010.
  10. Leman Akoglu and Christos Faloutsos, "ValuePick: Towards a Value-Oriented Dual-Goal Recommender Systems", ICDM Workshop on Optimization Based Methods for Emerging Data Mining Problems, Sydney, Australia, Dec. 2010.
  11. Pedro Olmo Vaz de Melo, Leman Akoglu, Christos Faloutsos, Antonio Loureiro, "Surprising Patterns for the Call Duration Distribution of Mobile Phone Users", ECML PKDD, Barcelona, Spain, Sep. 2010.
  12. Bolin Ding, Marianne Winslett, Jiawei Han, and Zhenhui Li, "Differentially Private Data Cube: Optimizing Noise Source and Consistency", Proc. of 2011 ACM SIGMOD Int. Conf. on Management of Data (SIGMOD'11), Athens, Greece, June 2011
  13. Manish Gupta, Yizhou Sun, and Jiawei Han, "Trust Analysis with Clustering", Proc. of 2011 Int. World Wide Web Conf. (WWW'11), Hyderabad, India, March 2011 (Poster paper)
 Submittedhttp://www.cs.cmu.edu/~dchau/apolo/apolo.pdf
  1. (UIUC+CUNY) Chi Wang, Jiawei Han, Xiang Li, Qi Li, Wen-Pin Lin, Adam Lee, Hao Li and Heng Ji. 2011. Uncovering Hierarchical Relationships among Linked Objects: A Probabilistic Modeling Approach. Submitted to the 17th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD2011).
  2. Koji Maruhashi, Fan Guo and Christos Faloutsos. "MultiAspectForensics: Pattern mining on large-scale heterogeneous networks with tensor decomposition". [In submission].
  3. Leman Akoglu, Pedro Olmo Vaz de Melo, Christos Faloutsos, "Reciprocity in Human Communication Networks", [In submission]. 
  4. (UIUC + IBM) Jing Gao, Wei Fan, Deepak Turaga, Srinivasan Parthasarathy, and Jiawei Han, "A Spectral Framework for Detecting Inconsistency across Multi-Source Object Relationships", KDD'11 (sub)
  5. Manish Gupta, Jiawei Han, and Yizhou Sun, "Cluster-Based Analysis of Information Trustworthiness", KDD'11 (sub) (also for Trust as collab.)
  6. Ming Ji and Jiawei Han, "Ranking-Based Classification of Heterogeneous Information Networks", KDD'11 (sub)
  7. (UIUC + IBM) Xin Jin, Scott Spangler, Ying Chen, and Jiawei Han, "Patent Value Estimation and Maintenance Recommendation with Patent Information Network Model", KDD'11 (sub)
  8. (UIUC + Tsinghua U) Yizhou Sun, Jie Tang, Jiawei Han, Cheng Chen, Manish Gupta, "Studying Co-Evolution of Multi-Typed Objects in Dynamic Heterogeneous Information Networks", KDD'11 (sub)
  9. (UIUC + IBM) Yizhou Sun, Charu Aggarwal, Jiawei Han, "A Framework for Clustering Heterogeneous Information Networks with Incomplete Attributes", KDD'11 (sub)
  10. (UIUC+ UCSB + UIC) PathSim?: Meta Path-Based Top-K Similarity Search in Heterogeneous Information Networks, VLDB' 11 (sub)
  11. (UCSB + UIUC) Xifeng Yan, et al., Towards Iceberg Analysis in Graph OLAP in preparation for VLDB Journal.
  12. (UIUC) Ming Ji, Xiaofei He, and Jiawei Han, "A Variance Minimization Criterion to Active Learning on Graphs", submitted to Int. Conf. on Machine Learning (ICML'11), June, 2011

 

2010

  1. Xin Jin, Sangkyum Kim, Jiawei Han, Liangliang Cao, and Zhijun Yin, "A General Framework for Efficient Clustering of Large Datasets based on Activity Detection", Statistical Analysis and Data Mining, accepted Sept. 2010.
  2. Heli Sun, Jianbin Huang, Jiawei Han, Hongbo Deng, Peixiang Zhao, and Boqin Feng, "gSkeleton-Clu: Density-based Network Clustering via Structure-Connected Tree Division or Agglomeration", Proc. of 2010 Int. Conf. on Data Mining (ICDM'10), Sydney, Australia, Dec. 2010
  3. Mohammad Masud, Qing Chen, Latifur Khan, Charu Aggarwal, Jing Gao, Jiawei Han, and Bhavani Thuraisingham, "Addressing Concept-Evolution in Concept-Drifting Data Streams", Proc. of 2010 Int. Conf. on Data Mining (ICDM'10), Sydney, Australia, Dec. 2010.
  4. Jianbin Huang, Heli Sun, Jiawei Han, Hongbo Deng, Yizhou Sun, and Yaguang Liu, "SHRINK: A Structural Clustering Algorithm for Detecting Hierarchical Communities in Networks", Proc. 2010 ACM Int. Conf. on Information and Knowledge Management (CIKM'10), Toronto, Canada, Oct. 2010.
  5. Xin Jin, Jiawei Han, Liangliang Cao, Jiebo Luo, Bolin Ding, Cindy Xide Lin, "Visual Cube and On-Line Analytical Processing of Images", Proc. 2010 ACM Int. Conf. on Information and Knowledge Management (CIKM'10), Toronto, Canada, Oct. 2010.
  6. Ming Ji, Yizhou Sun, Marina Danilevsky, Jiawei Han, and Jing Gao, "Graph Regularized Transductive Classification on Heterogeneous Information Networks", Proc. 2010 European Conf. on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECMLPKDD'10), Barcelona, Spain, Sept. 2010
  7. Hyung Sul Kim, Sangkyum Kim, Tim Weninger, Jiawei Han, and Tarek Abdelzaher, "NDPMine: Efficiently Mining Discriminative Numerical Features for Pattern-Based Classification", Proc. 2010 European Conf. on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECMLPKDD'10), Barcelona, Spain, Sept. 2010
  8. Mohammad M. Masud, Qing Chen, Jing Gao, Latifur Khan, Jiawei Han, and Bhavani Thuraisingham, "Classification and Novel Class Detection of Data Streams in a Dynamic Feature Space", Proc. 2010 European Conf. on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECMLPKDD'10), Barcelona, Spain, Sept. 2010.
  9. Zhenhui Li, Bolin Ding, Jiawei Han, and Roland Kays, "Swarm: Mining Relaxed Temporal Moving Object Clusters", Proc. 2010 Int. Conf. on Very Large Data Bases (VLDB'10), Singapore, Sept. 2010.
  10. Peixiang Zhao and Jiawei Han, "On Graph Query Optimization in Large Networks", Proc. 2010 Int. Conf. on Very Large Data Bases (VLDB'10), Singapore, Sept. 2010.
  11. Philip S. Yu, Jiawei Han, and Christos Faloutsos (Editors), LINK MINING: MODELS, ALGORITHMS AND APPLICATIONS,Springer, 2010.

I3.2

2011
  1. M. Sammons, V. Vydiswaran and D. Roth, "Recognizing Textual Entailment", in Multilingual Natural Language Applications: From Theory to Practice, 2011 (forthcoming).
  2. V. Vydiswaran, C. Zhai and D. Roth, "Content-driven Trust Propagation Framework", Proc. of the SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), San Diego, CA, August, 2011.
  3. V. Vydiswaran, C. Zhai and D. Roth, "Gauging the Internet Doctor: Ranking Medical Claims based on Community Knowledge", Proc. of the KDD Workshop on Data Mining for Medicine and HealthCare (DMMH), San Diego, CA, August, 2011.
  4. J. Pasternack and D. Roth, "Making Better Informed Trust Decisions with Generalized Fact-Finding", Proc. of the International Joint Conference on Artificial Intelligence (IJCAI), Barcelona, Spain, July 2011.
  5. D. Wang, T. Abdelzaher, H. Ahmadi, J. Pasternack, D. Roth, M. Gupta, J. Han, O. Fatemieh and H. Khac Le, "On Bayesian Interpretation of Fact-finding in Information Networks", Proc. of International Conference on Information Fusion, Chicago, IL, July 2011.
  6. Tim Weninger, Marina Danilevsky, Fabio Fumarola, Joshua Hailpern, Jiawei Han, Ming Ji, Thomas J. Johnston, Surya Kallumadi, Hyungsul Kim, Zhijin Li, David McCloskey, Yizhou Sun, Nathan E. TeGrotenhuis, Chi Wang, and Xiao Yu, "WinaCS: Construction and Analysis of Web-Based Computer Science Information Networks", Proc. of 2011 ACM SIGMOD Int. Conf. on Management of Data (SIGMOD'11), (system demo paper), Athens, Greece, June 2011.
  7. Lev Ratinov, Doug Downey, Mike Anderson, Dan Roth, "Local and Global Algorithms for Disambiguation to Wikipedia", Proc. of the Annual Meeting of the Association of Computational Linguistics (ACL) – 2011, Portland, OR, June 2011.
  8. Y. Chan and D. Roth, "Exploiting Syntactico-Semantic Structures for Relation Extraction", Proc. of the Annual Meeting of the Association of Computational Linguistics (ACL) - 2011, Portland, OR, June 2011.
  9. H. Khac Le, J. Pasternack, H. Ahmadi, M. Gupta, Y. Sun, T. Abdelzaher, J. Han and D. Roth, "Apollo: Towards Factfinding in Participatory Sensing", Proc. of the International Conference on Information Processing in Sensor Networks (IPSN), Chicago, IL, April 2011.
  10. Zhijun Yin, Liangliang Cao, Jiawei Han, Chengxiang Zhai, and Thomas Huang, "Geographical Topic Discovery and Comparison", Proc. of 2011 Int. World Wide Web Conf. (WWW'11), Hyderabad, India, Mar. 2011 (Full paper).
  11. Tim Weninger, Fabio Fumarola, Cindy Xide Lin, Rick Barber, Jiawei Han, and Donato Malerba, "Growing Parallel Paths for Entity-Page Discovery", Proc. of 2011 Int. World Wide Web Conf. (WWW'11), Hyderabad, India, Mar. 2011 (Poster paper)
  12. Jeff Pasternack and Dan Roth, "Generalized Fact-Finding", International World Wide Web Conference – 2011, Hyderabad, India, March, 2011.
  13. Heng Ji and Ralph Grishman. "Knowledge Base Population: Successful Approaches and Challenges". Accepted by Proc. the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies (ACL-HLT2011), 2011. 
  14. Heng Ji, Adam Lee and Wen-Pin Lin. "Information Network Construction and Alignment from Automatically Acquired Comparable Corpora". Invited book chapter for Building and Using Comparable Corpora. Springer, 2011. 
  15. Heng Ji, Benoit Favre, Wen-Pin Lin, Dan Gillick, Dilek Hakkani-Tur and Ralph Grishman. 2011. "Open-domain Multi-document Summarization via Information Extraction: Challenges and Prospects". Invited book chapter for Multi-source, Multilingual Information Extraction and Summarisation. Springer.
  16. Heng Ji and Jiawei Han. 2011. Web-Scale Knowledge Discovery and Information Extraction. Invited Paper for IEEE Special Issue on Web-Scale Multimedia Processing and Applications. In Preparation.
 submitted
  1. (CUNY + UIUC) Hao Li, Heng Ji, Hongbo Deng and Jiawei Han. 2011. Topically Related Data is Better Data: Topic Modeling for Event Extraction. Submitted to the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies (ACL-HLT2011).
  2. (CUNY + UIUC) Sam Anzaroot, Javier Artiles, Heng Ji, Hongbo Deng and Jiawei Han. 2011. Search and Browsing Self-Boosting Information Networks. Submitted to the 34th Annual International ACM SIGIR Conference (SIGIR2011).
  3. (CUNY + UIUC) Heng Ji and Jiawei Han. 2011. Web-Scale Knowledge Discovery and Information Extraction. Invited Paper for IEEE Special Issue on Web-Scale Multimedia Processing and Applications. In Preparation.
  4. Javier Artiles, Qi Li, Enrique Amigo and Heng Ji. 2011. Leveraging Cross-document Redundancy for Temporal Information Extraction. Submitted to Empirical Methods in Natural Language Processing (EMNLP2011).
  5. Javier Artiles, Enrique Amigo, Qi Li and Heng Ji. 2011. Evaluating Temporal Information Extraction. Submitted to ACL-HLT2011.
  6. Zheng Chen and Heng Ji. 2011. Collaborative Ranking: A Case Study in Entity Linking. Submitted to Conference on Empirical Methods in Natural Language Processing (EMNLP2011).
  7. Qi Li, Javier Artiles and Heng Ji. 2011. Dependency Paths Kernel for Temporal Relation Classification. Submitted to 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies (ACL-HLT2011).
  8. Suzanne Tamang and Heng Ji. 2011. Learning-to-Rank for Slot Filling System Combination and Assessment. Submitted to Conference on Empirical Methods in Natural Language Processing (EMNLP2011).
  9. Zheng Chen, Suzanne Tamang, Adam Lee and Heng Ji. 2011. A Toolkit for Knowledge Base Population. Submitted to the 34th Annual International ACM SIGIR Conference (SIGIR2011).
  10. Xiang Li and Heng Ji. 2011. Comment-guided Reinforcement Learning for Slot Filling. Submitted to Conference on Empirical Methods in Natural Language Processing (EMNLP2011).
2010
  1. Tim Weninger, Fabio Fumarola, Rick Barber, Jiawei Han, Donato Malerba, "Unexpected Results in Automatic List Extraction on the Web", SIGKDD Explorations, 12(2), Dec. 2010. 
  2. Manish Gupta, Rui Li, Zhijun Yin, and Jiawei Han, "Survey on Social Tagging Techniques", SIGKDD Explorations, 12(1):58-72, 2010.
  3. Jeff Pasternack and Dan Roth, "Comprehensive Trust Metrics for Information Networks", The 27th Army Science Conference – 2010, Orlando, FL, Nov 2010.
  4. Q. Do and D. Roth, "Constraints based Taxonomic Relation Classification", Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP) - 2010, Cambridge, MA, Oct. 2010.
  5. Bolin Ding, Yintao Yu, Bo Zhao, Cindy Xide Lin, Jiawei Han, and Chengxiang Zhai, "Keyword Search in Text Cube: Finding Top-K Aggregated Cell Documents", Proc. of 2010 NASA Conference on Intelligent Data Understanding (CIDU2010), Mountain View, CA, Oct. 2010.
  6. Bo Zhao, Cindy X. Lin, Ashok N. Srivastava, Nikunj C. Oza, and Jiawei Han, "Correlated Topics in a Scalable Multidimensional Text Cube: Algorithms and Aviation Safety Case Study", (extend abstract and poster paper), Proc. of 2010 NASA Conference on Intelligent Data Understanding (CIDU2010), Mountain View, CA, Oct. 2010.
  7. Lu Liu, Jie Tang, Jiawei Han, Meng Jiang, Shiqiang Yang, "Mining Topic-Level Influence in Heterogeneous Networks",  Proc. 2010 ACM Int. Conf. on Information and Knowledge Management (CIKM'10), Toronto, Canada, Oct. 2010
  8. Tim Weninger, Fabio Fumarola, Jiawei Han, Donato Malerba, "Mapping Web Pages to Database Records via Link Paths", Proc. 2010 ACM Int. Conf. on Information and Knowledge Management (CIKM'10), Toronto, Canada, Oct. 2010.
  9. Xin Jin, Andrew Gallagher, Liangliang Cao, Jiebo Luo, and Jiawei Han, "The Wisdom of Social Multimedia: Using Flickr for Prediction and Forecast", Proc. 2010 ACM Multimedia Int. Conf. (ACM-Multimedia'10), Florence, Italy, Oct. 2010.
  10. Zheng Chen, Suzanne Tamang, Adam Lee, Xiang Li, Wen-Pin Lin, Javier Artiles, Matthew Snover, Marissa Passantino and Heng Ji. "CUNY-BLENDER TAC-KBP2010 Entity Linking and Slot Filling System Description". Proc. Text Analytics Conference (TAC2010), 2010.
  11. Hao Li, Xiang Li, Heng Ji and Yuval Marton. "Domain-Independent Novel Event Discovery and Semi-Automatic Event Annotation". Proc. the 23rd Pacific Asia Conference on Language, Information and Computation (PACLIC 2010), 2010.

Tutorial or Keynote Speech Slides (International Conferences and Workshops)

Heng Ji:

  1. Heng Ji. Overview of the TAC2010 Knowledge Base Population Track, Keynote Speech at Web People Search (WePS-3) Conference, September 2010. [Slides to add]
  2. Heng Ji. Web-Scale Knowledge Discovery and Population from Unstructured Data, Keynote Speech ACLCLP 2010 Information Retrieval Conference, December 2010.

Tobias Hollerer:

  1. Tobias Hollerer, "Anywhere Interfaces - Scaling and Adapting Mixed Reality, Real-Time Computer Vision, and Visualization", (Keynote Speech), at International Symposium on Visual Computing (ISVC 2010), 11/29/20102.
  2. Tobias Hollerer, "The Role of Academia in Augmented Reality Research --AR Research in the Time of AR Business Opportunities", (Keynote Speech), at International Winter Augmented Reality Meeting (WARM 2011), 02/23/2011

IPP Research Publications

Books and Book Chapters

  1. L. Cao, G.-J. Qi, S.-F. Tsai, M.-H. Tsai, A. Del Pozo, T.S. Huang, S. Lim and X. Zhang, "Multimedia Information Network: Structure, Inference and Applications", Invited Book chapter in Social Network Data Analytics, edited by Charu Aggarwal, Springer, to appear. pdf

Data Mining and Knowledge Discovery Conferences and Workshops

  1. Yizhou Sun, Jie Tang, Jiawei Han, Manish Gupta, and Bo Zhao, "Community Evolution Detection in Dynamic Heterogeneous Information Networks", in Proc. 2010 KDD Workshop on Mining and Learning with Graphs (MLG'10), Washington D.C., July 2010.
  2. Jing Gao, Feng Liang,Wei Fan, Chi Wang, Yizhou Sun, and Jiawei Han, "Community Outliers and their Efficient Detection in Information Networks", Proc. 2010 ACM SIGKDD Conf. on Knowledge Discovery and Data Mining (KDD'10), WashingtonD.C., July 2010.
  3. Zhenhui Li, Bolin Ding, Jiawei Han, and Roland Kays, "Mining Hidden Periodic Behaviors for Moving Objects", Proc. 2010 ACM SIGKDD Conf. on Knowledge Discovery and Data Mining (KDD'10), WashingtonD.C., July 2010.
  4. Cindy Xide Lin, Bo Zhao, Qiaozhu Mei, and Jiawei Han, "A Statistical Model for Popular Event Tracking in Social Communities", Proc. 2010 ACM SIGKDD Conf. on Knowledge Discovery and Data Mining (KDD'10), WashingtonD.C., July 2010.
  5. Chi Wang, Jiawei Han, Yuntao Jia, Jie Tang, Duo Zhang, Yintao Yu, and Jingyi Guo, "Mining Advisor-Advisee Relationships from Research Publication Networks", Proc. 2010 ACM SIGKDD Conf. on Knowledge Discovery and Data Mining (KDD'10), Washington D.C., July 2010.
  6. G. Miao, L. Moser, X. Yan, S. Tao, Y. Chen, and N. Anerousis, "Generative Models for Ticket Resolution in Expert Networks", SIGKDD'10 (Proc. of 2010 Int. Conf. on Knowledge Discovery and Data Mining), Jul. 2010.
  7. Ming Ji, Yizhou Sun, Marina Danilevsky and Jiawei Han, "Graph Regularized Transductive Classification on Heterogeneous Information Networks", Proc. 2010 European Conf. on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECMLPKDD'10), Barcelona, Spain, Sept. 2010.
  8.  Hyung Sul Kim, Sangkyum Kim, Tim Weninger, Jiawei Han, and Tarek Abdelzaher, "NDPMine:Efficiently Mining Discriminative Numerical Features for Pattern-Based Classification", Proc. 2010 European Conf. on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECMLPKDD'10), Barcelona, Spain, Sept. 2010.
  9. Aditya Prakash, Hanghang Tong, Nicholas Valler, Michalis Faloutsos and Christos Faloutsos, "Virus Propagation on Time-Varying Networks: Theory and Immunization Algorithms", ECML/PKDD, Barcelona, Spain, Sept. 2010. PDF
  10. Pedro O.S. Vaz de Melo, Leman Akoglu, Christos Faloutsos and Antonio A.F. Loureiro, "Surprising Patterns for the Call Duration Distribution of Mobile Phone Users", ECML/PKDD, Barcelona, Spain, Sept. 2010. PDF
  11. U Kang, Mary McGlohon, Leman Akoglu, and Christos Faloutsos, "Patterns on the Connected Components of Terabyte-Scale Graphs", Proc. of  IEEE International Conference on Data Mining (ICDM 2010), Sydney, Australia, Dec. 2010. PDF

Database Systems Conferences, Journals and Workshops

  1. Zhenhui Li, Ming Ji, Jae-Gil Lee, LuAn Tang, Yintao Yu, Jiawei Han, and Roland Kays, "MoveMine: Mining Moving Object Databases" (system demo), Proc. 2010 ACM SIGMOD Int. Conf. on Management of Data (SIGMOD'10), Indianapolis, Indiana, June 2010.
  2. Jiawei Han, Yizhou Sun, Xifeng Yan, and Philip S. Yu, "Mining Knowledge from Databases: An Information Network Analysis Approach" (tutorial), Proc. 2010 ACM SIGMOD Int. Conf. on Management of Data (SIGMOD'10), Indianapolis, Indiana, June 2010.
  3. A. Khan, X. Yan and K.-L. Wu, "Towards Proximity Pattern Mining in Large Graphs", SIGMOD'10 (Proc. 2010 Int. Conf. on Management of Data), June 2010.
  4. Lu Liu, Feida Zhu, Chen Chen, Xifeng Yan, Jiawei Han, Philip Yu, and Shiqiang Yang, "Mining Diversity on Networks", Proc. 2010 Int. Conf. on Database Systems for Advanced Applications (DASFAA'10), Tsukuba, Japan, April 2010.
  5. Dustin Bortner and Jiawei Han, "Progressive Clustering of Networks Using Structure-Connected Order of Traversal", Proc. 2010 Int. Conf. on Data Engineering (ICDE'10), Long Beach, CA, March 2010.
  6. Kathy Macropol and Ambuj K. Singh, "Scalable Discovery of Best Clusters on Large Graphs", Proc. 2010 Int. Conf. on Very Large Data Bases (VLDB'10), Singapore, Sept. 2010. [links to PDF to be added soon]
  7. Peixiang Zhao and Jiawei Han, "On Graph Query Optimization in Large Networks", Proc. 2010 Int. Conf. on Very Large Data Bases (VLDB'10), Singapore, Sept. 2010.
  8. Zhenhui Li, Bolin Ding, Jiawei Han, and Roland Kays, "Swarm: Mining Relaxed Temporal Moving Object Clusters", Proc. 2010 Int. Conf. on Very Large Data Bases (VLDB'10), Singapore, Sept. 2010.
  9. Lei Li, B. Aditya Prakash, Christos Faloutsos, "Parsimonious Linear Fingerprinting for Time Series", Proc. 2010 Int. Conf. on Very Large Data Bases (VLDB'10), Singapore, Sept. 2010. PDF

Multimedia Conferences, Journals and Workshops

  1. Liangliang Cao, Jiebo Luo, Andrew Gallagher, Xin Jin, Jiawei Han, and Thomas S. Huang, "A Worldwide Tourism Recommendation System Based onGeotaggedWeb Photos", Proc. 2010 Int. Conf. on Acoustics, Speech, and Signal Processing (ICASSP'10), Dallas, TX, March 2010.
  2. Xin Jin, Andrew Gallagher, Liangliang Cao, Jiebo Luo, and Jiawei Han, "The Wisdom of Social Multimedia: Using Flickr for Prediction and Forecast", Proc. 2010 ACM Multimedia Int. Conf. (ACM-Multimedia'10), Florence, Italy, Oct. 2010

Visualization and HCI Conferences, Journals and Workshops

  1. B. Gretarsson, J. O'Donovan, S. Bostandjiev, C. Hall, and T. Höllerer, "SmallWorlds: Visualizing Social Recommendations", Computer Graphics Forum 29(3) (Proc. Eurographics/IEEE Symposium on Visualization), June 2010. [links to PDF to be added soon]

Social Network Conferences

  1. Zhijun Yin, Manish Gupta, Tim Weninger, and Jiawei Han, "A Unified Framework for LinkRecommendation Using Random Walks", Proc. 2010 Int. Conf. on Advances in Social Networks Analysis and Mining (ASONAM'10), Odense,Denmark, Aug. 2010.
  2. Bongwon Suh, Lichan Hong, Peter Pirolli, and Ed H. Chi, "Want to be Retweeted? Large Scale Analytics on Factors Impacting Retweet in Twitter Network", Proc. IEEE Conf. on Social Computing (SocialCom 2010), Minneapolis, MN, Aug 2010.

Spatiotemporal Data and Cyber-physical Systems and Network Conferences

  1. Hossein Ahmadi, Tarek Abdelzaher, Indranil Gupta, "Congestion Control for Spatio-temporal Data in Cyber-physical Systems," International Conference on Cyber-physical Systems (ICCPS), Stockholm, Sweden, April, 2010. pdf
  2. Ting Wang, Mudhakar Srivatsa, Dakshi Agrawal and Ling Liu. Spatio-Temporal Patterns in Network Events. In 6th ACM Conference on Emerging Networking Experiments and Technologies (CoNEXT), Philadelphia, PA, Dec 2010.

World Wide Web Conferences, Journals and Workshops

  1. Liangliang Cao, Jie Yu, Jiebo Luo, Thomas S. Huang, "Enhancing Semantic and Geographic Annotation of Web Images via Logistic Canonical Correlation Regression", pdf
  2. Xin Jin, Jiebo Luo, Jie Yu, Gang Wang, Dhiraj Joshi, and Jiawei Han, "iRIN: Image Retrieval in Image Rich Information Networks", Proc. 2010 Int. World Wide Web Conf. (WWW'10), Raleigh, NC, April 2010. (demo paper)
  3. Liangliang Cao, Andrey Del Pozo, Xin Jin, Jiebo Luo, Jiawei Han, and Thomas S. Huang, "RankCompete: Simultaneous Ranking and Clustering of Web Photos", Proc. 2010 Int. World Wide Web Conf. (WWW'10), Raleigh, NC, April 2010. (poster paper)
  4. Zhijun Yin, Manish Gupta, Tim Weninger and Jiawei Han, "LINKREC: A Unified Frameworkfor Link Recommendation with User Attributes and Graph Structure", Proc. 2010 Int. World Wide Web Conf. (WWW'10), Raleigh, NC, April 2010. (poster paper)
  5. Zheng Chen, Suzanne Tamang, Adam Lee, Xiang Li, Marissa Passantino and Heng Ji. 2010. Top-down and Bottom-up: A Combined Approach to Slot Filling. Lecture Notes in Computer Science, Volume on Asia Information Retrieval Societies.pdf
  6. Heng Ji, Juan Liu, Benoit Favre, Dan Gillick and Dilek Hakkani-Tur. 2010. Re-ranking Summaries based on Cross-document Information Extraction. Lecture Notes in Computer Science. [Nominated as the Best Paper for the Sixth Asia Information Retrieval Societies Conference].pdf

Text and Unstructured Data Processing and Computational Linguistics Conferences, Journals and Workshops

Text and Unstructured Data Processing and Computational Linguistics Conferences, Journals and Workshops

  1. Adam Lee, Marissa Passantino, Heng Ji, Guojun Qi and Thomas Huang. "Enhancing Multi-lingual Information Extraction via Cross-Media Inference and Fusion." Proc. COLING 2010. pdf
  2. Heng Ji. "Challenges from Information Extraction to Information Fusion." Proc. COLING 2010. pdf
  3. Zheng Chen and Heng Ji. "Graph-based Clustering for Computational Linguistics: A Survey." Proc. ACL 2010 TextGraphs5. pdf
  4. Heng Ji, Xiang Li, Angelo Lucia and Jianting Zhang. "Annotating Event Chains for Carbon Sequestration Literature." Proc. LREC 2010. pdf
  5. Heng Ji, Zheng Chen, Jonathan Feldman, Antonio Gonzalez, Ralph Grishman and Vivek Upadhyay. "Utility Evaluation of Cross-document Information Extraction." Proc. NAACL/HLT 2010. pdf
  6. Heng Ji. "Cross-lingual Predicate Cluster Acquisition to Improve Bilingual Event Extraction by Inductive Learning." Proc. 4th Annual Machine Learning Symposium. New York Academy of Sciences. pdf
  7. Heng Ji and Dekang Lin. 2009. "Gender and Animacy Knowledge Discovery from Web-Scale N-Grams for Unsupervised Person Mention Detection." Proc. PACLIC 2009. pdf
  8. Jeff Pasternack and Dan Roth, "Knowing what to Believe (when you already know something)", Proc. 2010 Int. Conf. on Computational Linguistics (COLING'10), Aug. 2010. [inks to PDF to be added]
  9. J. Pasternack and D. Roth, "Knowing What to Believe (when you already know something)", Proc. of the International Conference on Computational Linguistics (COLING) – 2010, Beijing, China, Aug. 2010.
  10. Y. Tu and N. Johri and D. Roth and J. Hockenmaier, "Citation Author Topic Model in Expert Search", Proc. of the International Conference on Computational Linguistics (COLING) - 2010, Beijing, China, Aug. 2010.
  11. Y. Chan and D. Roth, "Exploiting Background Knowledge for Relation Extraction", Proc. the International Conference on Computational Linguistics (COLING) - 2010, Beijing, China, Aug. 2010.
  12. M. Connor, Y. Gertner, C. Fisher and D. Roth, "Starting from Scratch in Semantic Role Labeling", Proc. of the Annual Meeting of the Association of Computational Linguistics (ACL) - 2010, Uppsala, Sweden, Jul. 2010.
  13. Mark Sammons, V.G.Vinod Vydiswaran and Dan Roth, "Ask not what Textual Entailment can do for you... ", Proc. of the Annual Meeting of the Association of Computational Linguistics (ACL) - 2010, Uppsala, Sweden, Jul. 2010.
  14. N. Johri, D. Roth and Y. Tu, "Experts' Retrieval with Multiword-Enhanced Author Topic Model", Proceedings of NAACL-10 Semantic Search Workshop - 2010, Los Angeles, CA, Jun. 2010.

Tutorial or Keynote Speech Slides (International Conferences and Workshops)

Christos Faloutsos:

  1. Matrix tools (KDD'09 toturial): http://www.cs.cmu.edu/~christos/TALKS/09-KDD-tutorial/
  2. Tensors (KDD'07 tutorial): http://www.cs.cmu.edu/~christos/TALKS/KDD-07-tutorial/
  3. Proximity (CIKM'08 tutorial): http://www.cs.cmu.edu/~htong/tut/cikm2008/cikm_tutorial.html

Jiawei Han:

  1. Jiawei Han, "Mining Useful Patterns: An Evolutionary View", (Keynote Speech), in 2010 SIGKDD workshop on Useful Patterns (UP'10), Washington D.C., July 2010. (Slides)
  2. Jiawei Han, Yizhou Sun, Xifeng Yan, and Philip S. Yu, "Mining Heterogeneous Information Networks", Tutorial at the 2010 ACM SIGKDD Conf. on Knowledge Discovery and Data Mining (KDD'10), Washington,D.C., July 2010. (Slides will be uploaded after the conference in July)
  3. Jiawei Han, Yizhou Sun,  Xifeng Yan, and Philip S. Yu, "Mining Knowledge from Databases: An Information Network Analysis Approach" (tutorial), Proc. 2010 ACM SIGMOD Int. Conf. on Management of Data (SIGMOD'10), Indianapolis, Indiana, June 2010. (Slides)
  4. Jing Gao, Wei Fan, and Jiawei Han, "On the Power of Ensemble: Supervised and Unsupervised Methods Reconciled", Tutorial at 2010 SIAM Data Mining Conf. (SDM'10), Columbus, Ohio, May 2010.
  5. Jiawei Han, Zhenhui Li, and Lu An Tang, "Mining Moving Object and Traffic Data", Proc. 2010 Int. Conf. on Database Systems for Advanced Applications (DASFAA'10), (Conference Tutorial), Tsukuba,Japan, April 2010.
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