Publications
Edward Chang

Google Scholar List

Edward Chang Publication

DBLP List

Edward Chang Publication

Papers (in reversed chronological order):

    2017

  1. Aristo: An Augmented Reality Platform for Immersion and Interactivity, ZhongYang Zheng, et al., ACM International Conference on Multimedia, Mountain View, October 2017.
  2. Artificial Intelligence in XPRIZE DeepQ Tricorder, Edward Y. Chang, Meng-Hsi, Kai-Fu Tang, Hao-CHeng Kao, Chun-Nan Chou, MMHealth@ACM Multimedia, October 2017.
  3. DeepQ Arrhythmia Database: A Large-Scale Dataset for Arrhythmia Detector Evaluation, Meng-Hsi and Edward Y. Chang, MMHealth@ACM Multimedia, October 2017.
  4. Distributed Training Large-Scale Deep Architectures, Shang-Xuan Zou, Chun-Yen Chen, Chun-Yen Chen, Jui-Lin Wu, Chun-Nan Chou, Chia-Chin Tsao, Kuan-Chieh Tung, Ting-Wei Lin, Cheng-Lung Sung, and Edward Y. Chang, Advanced Data Mining & Applications (ADMA), Singapore, November 2017.
  5. CLKN: Cascaded Lucas-Kanade Networks for Image Alignment, Che-Han Chang, Chun-Nan Chou, Edward Y. Chang, Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017.
  6. Joint Representation Learning for Location-Based Social Networks with Multi-Grained Sequential Contexts, W. Zhao, F. Fan, J.-R. Wen, and Edward Y. Chang, ACM Transactions on Knowledge Discovery from Data (TKDD), 2017.

    2016

  7. A Probabilistic Lifestyle-Based Trajectory Model for Social Strength Inference from Human Trajectory Data, W. Zhao, N. Zhou, W. Zhang, J.-R. Wen, and Edward Y. Chang, ACM Transactions on Information Systems (TOIS), 35(1) 8, 2016.
  8. Connecting Social Media to E-Commerce: Cold-Start Product Recommendation using Microblogging Information, Wayne Xin Zhao, Sui Li, Yulan He, Edward Y. Chang, Ji-Rong Wen, and Xiaoming Li, IEEE Transactions on Knowledge and Data Engineering (TKDE) 28(5): 1147-59, 2016.
  9. Mining Product Adopter Information from Online Reviews for Improving Product Recommendation, X. Zhao, J. Wang, Y. He, J-R Wen, Edward Y. Chang, and X. Li, ACM Transactions on Knowledge Discovery from Data (TKDD) 10(3): 29:1-29:23, 2016.
  10. Tweet Timeline Generation with Determinantal Point Processes, Jin-ge Yao, Feifan Fan, Wayne Xin Zhao, Xiaojun Wan, Edward Y. Chang, and Jianguo Xiao, Proceedings of AAAI, January 2016.

    2015

  11. SPeeDO: Parallelizing Gradient Decent for Deep Convolutional Neural Networks, Zhongyang Zheng, Wenrui Jiang, Gang Wu, and Edward Y. Chang, NIPS Learning Systems, Montreal, December 2016.
  12. Gaussian Processes for High-Dimensional Regression: A Method Based on Deep Neural Networks, Wenbing Huang, Deli Zhao, Fuchun Sun, Huaping Liu, and Edward Y. Chang, IJCAI, 2015: 3576-3582.
  13. Network Representation Learning with Rich Text Information, Cheng Yang, Zhiyuan Liu, Deli Zhao, Maosong Sun, and Edward Y. Chang, IJCAI, 2015: 2111-2117.
  14. Transfer Representation Learning for Medical Image Analysis, Chuen-Kai Shie, Chung-Hisang Chuang, Chun-Nan Chou, Meng-Hsi Wu, and Edward Y. Chang, IEEE EMBC, Milan, August 2015.
  15. A New Retraction for Accelerating the Riemannian Three-Factor Low-Rank Matrix Completion Algorithm, Zhizhong Li, Deli Zhao, Zhouchen Lin, and Edward Y. Chang, IEEE CVPR, Boston, June 2015
  16. Exact Recoverability of Robust PCA via Outlier Pursuit with Tight Recovery Bounds, Hongyang Zhang, Zhouchen Lin, Chao Zhang, Edward Y. Chang, AAAI 2015: 3143-49.
  17. Pan360: INS Assisted 360-Degree Panorama. Lun-Cheng Chu, Andre Chen, Yu-Hsin Lin, Yu-Mei Chen, Scott Chien-Hung Liao, and Edward Y. Chang, ImmersiveME@ACM Multimedia, October 2015: 7-12.
  18. Pan360: INS Assisted 360-Degree Panorama (Demo Description), Yu-Hsin Lin, Yu-Mei Chen, Lun-Cheng Chu, Andre Chen, Scott Chien-Hung Liao, and Edward Y. Chang, ACM Multimedia, October 2015 (Best Demo Award).
  19. Determining Step Sizes in Geometric Optimization Algorithms, Zhizhong Li, Deli Zhao, Zhouchen Lin, and Edward Y. Chang, ISIT Hong Kong, 2015: 1217-1221

    2014

  20. Big Data, Small Footprint: The Design of a Low-Power Classifier for Detecting Transportation Modes (with Open Source dataset), M. Yu, T. Yu, C.-J. Lin, and E. Y. Chang, VLDB, Hangzhou, August 2014.
  21. Distant Supervision for Relation Extraction with Matrix Completion, M. Fan, D. Zhao, Q. Zhou, Z. Liu, T. F. Zheng, and E. Y. Chang, ACM ACL, Baltimore, June 2014.
  22. A Data-Drive Study on Image Feature Extraction and Fusion, Z. Wang, F. Li, E. Y. Chang, and S. Yang, Information Sciences, Elsevier, March 2014.

    2013

  23. Context-Aware Computing: Opportunities and Open Issues, E. Y. Chang, VLDB, 2013.

    2012

  24. MOIST: A Scalable and Parallel Moving Object Indexer with School Tracking, VLDB, Istanbul, August 2012.
  25. An Autoregressive Approach to Nonparametric Hierarchical Dependent Modeling,Zhihua Zhang, Dakan Wang, Edward Y. Chang, Journal of Machine Learning Research Proceedings Track 22: 1416-1424 (2012)
  26. Web-Scale Multimedia Processing and Applications [Scanning the Issue], Edward Y. Chang, Shih-Fu Chang, Alexander G. Hauptmann, Thomas S. Huang, Proceedings of the IEEE 100(9): 2580-2583 (2012)
  27. Tom Chao Zhou, Xiance Si, Edward Y. Chang, Irwin King, Michael R. Lyu: A Data-Driven Approach to Question Subjectivity Identification in Community Question Answering. AAAI 2012
  28. Yuan Gao, Chengu Wang, Edward Y. Chang: INSPORAMA: INS-Aided Misalignment Correction in Feature-Based Panoramic Image Stitching. ICME Workshops 2012: 659-664
  29. Weipeng Zhuo, Bo Zhang, Shueng-Han Gary Chan, Edward Y. Chang: Error Modeling and Estimation Fusion for Indoor Localization. ICME 2012: 741-746
  30. Haoruo Peng, Zhengyu Wang, Edward Y. Chang, Shuchang Zhou, Zhihua Zhang: Sublinear Algorithms for Penalized Logistic Regression in Massive Datasets. ECML/PKDD (1) 2012: 553-568
  31. Zhicheng Zheng, Xiance Si, Fangtao Li, Edward Y. Chang, Xiaoyan Zhu: Entity Disambiguation with Freebase. Web Intelligence 2012: 82-89

    2011

  32. Foundations of Multimedia Information Management and Retrieval, E. Y. Chang, Springer, 2011.
  33. PLDA+: Parallel Latent Dirichlet Allocation with Data Placement and Pipeline Processing, Z. Liu, Y. Zhang, E. Y. Chang, and M. Sun, ACM Transactions on Intelligent Systems and Technology, Volume 2, Number 3, 2011.
    Open Source is available at Google.
  34. PSVM: Parallel Support Vector Machines with Incomplete Cholesky Factorization (invited book chapter), Cambridge Press,
    Edward Y. Chang, Hongjie Bai, Kaihua Zhu, Hao Wang, Jian Li, and Zhihuan Qiu, 2011.
    Open Source is available at Google.
  35. Large-scale Spectral Clustering with MapReduce and MPI (invited book chapter), Cambridge Press,
    Wen-Yen Chen, Yangqiu Song, Hongjie Bai, Chih-Jen Lin, and E. Y. Chang, ,
  36. XINS --- The Anatomy of An Indoor Positioning and Navigation Architecture, ACM Ubicomp Workshop of Mobile Location Service, Beijing, September 2011.
  37. Question Identification on Twitter, Baichuan Li, Xiance Si, Irwin King, Edward Chang, Michael R. Lyu, ACM CIKM, 2011.
  38. K2Q: Generating Natural Language Questions from Keywords with User Refinements, Zhicheng Zheng, Xiance Si, Edward Chang and Xiaoyan Zhu, IJCNLP, Thailand, 2011.
  39. LocalTree: An Efficient Algorithm for Mobile Peer-to-Peer Live Streaming,Bo Zhang, S.-H. Gary Chan, Gene Cheung, Edward Y. Chang, ICC 2011.
  40. Sensor-aided Mobile Information Management and Retrieval, (keynote) ACM SIGIR, pp. 1333-1334, 2011.

    2010

  41. Confucius and Its Intelligent Disciples, Integrating Search with Social,
    X. Si, E. Y. Chang, Z. Gyongyi, and M. Sun, VLDB, Singapore, September 2010.
  42. AdHeat: An Influence-based Diffusion Model for Propagating Hints to Match Ads (Best Paper Nominee),
    H.J. Bao and E. Y. Chang, WWW 2010, North Carolina, April 2010.
  43. A Deep Model-based and Data-driven Hybrid Architecture for Image Annotation,
    Zhiyu Wang, Dinying Xia, E. Y. Chang, International Workshop on Very-Large-Scale Multimedia Corpus, Mining and Retrieval, with ACM Multimedia, Florence, October 2010.
  44. Parallel Spectral Clustering in Distributed Systems,
    Wen-Yen Chen, Yangqiu Song, Hongjie Bai, Chih-Jen Lin, and E. Y. Chang,
    IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), March 2010.
  45. Scalable Mining of Topic-dependent User Reputation For Improving User Generated Content Search Quality,
    X. Si, Z. Gyongyi, and E. Y. Chang, Google Technical Report.

    2009

  46. Confucius and "Its" Intelligent Disciples (keynote), E. Y. Chang, ACM CIKM, November 2009.
  47. Parallel Algorithms for Mining Large-scale Multimedia Data, ACM International Conference on Multimedia, October 2009.
  48. Confucius and "Its" Intelligent Disciples (keynote), E. Y. Chang, ADMA, Beijing, August 2009.
  49. Parallel Algorithms for Collaborative Filtering (keynote), E. Y. Chang, AAIM, San Francisco, June 2009.
  50. PLDA---Parallel Dirichlet Allocation for Large-scale Applications, AAIM, San Francisco, June 2009.
    Open Source is available at Google.
  51. Collaborative Filtering for Orkut Communities: Discovery of User Latent Behavior, Wen-Yen Chen, et al., WWW 2009, p681-90, Spain, April 2009.
  52. Multimedia Data Semantic Modeling and Knowledge Representation, E. Y. Chang, An invited chapter in Encyclopedia of Database Systems.

    2008

  53. CCF: Combinational Collaborative Filtering for Personalized Community Recommendation,
    Wen-Yen Chen, Dong Zhang, and E. Y. Chang, ACM KDD, August 2008 (10% accepted).
  54. Web-scale Image Annotation (invited paper), J. Liu, R. Hu, et al., PCM Special Session, Tainan, December 2008.
  55. Parallel Spectral Clustering, Yangqiu Song, Wen-Yen Chen, Hongjie Bai, Chih-Jen Lin, Edward Y. Chang, ECML,
    Belgium, September 2008.
  56. PFP: Parallel FP-Growth for Query Recommendation,
    H. Li, Y. Wang, D. Zhang, M. Zhang, and E. Y. Chang, ACM Recommendation Systems, Lausanne, October 2008 (16% accepted).
  57. Data Management Projects at Google, Michael Cafarella, Edward Y. Chang, Andrew Fikes, Alon Halevy,
    Wilson Hsieh, Alberto Lerner, Jayant Madhavan, Yossi Matias, and Muthu Muthukrishnan, SIGMOD Record, 2008.
  58. Organizing Multimedia Data Socially (keynote), E. Y. Chang, ACM CIVR, Canada, July 2008.
  59. Active Learning for Interactive Multimedia Retrieval,
    Huang, T. S., Dagli, C. K., Rajaram, S., Chang, E. Y., Mandel, M. I., Poliner, G. E., Ellis, D. P. W.,
    Proceedings of the IEEE, 96(4), pp. 648-67, April 2008.
  60. Rich media and web 2.0 (panel), Edward Y. Chang, Ken Ong, Susanne Boll, and Wei-Ying Ma, 1259-1260, WWW 2008.
  61. Scalable landmark recognition using EXTENT, Arun Qamra and Edward Y. Chang, Multimedia Tools Appl. 38(2): 187-208, 2008.
  62. Sliced Coordinate Analysis for Effective Dimension Reduction and Nonlinear Extensions,
    Zhihua Zhang, J. Kwok, D.-Y. Yeung, and Edward Y. Chang,
    Journal of Computational & Graphical Statistics (JCGS), Volume 17, Number 1, March 2008.

    2007

  63. Parallelizing Support Vector Machines on Distributed Computers,
    Edward Y. Chang, Kaihua Zhu, Hao Wang, Hongjie Bai, Jian Li, Zhihuan Qiu, and Hang Cui, NIPS 2007.
    Open Source is available at Google.
  64. Nonparametric Regression Using Reproducing Kernel Hilbert Spaces,
    Zhihua Zhang, Gang Wu and Edward Y. Chang, IEEE Transactions on Neural Networks, September 2007.
  65. Web-scale Multimedia Data Management Challenges and Remedies (Keynote),
    Edward Y. Chang, European Conference of Digital Library, September 2007.
  66. Building MEMS-based Storage Systems for Streaming Media,
    Raju Rangaswami, Zoran Dimitrijevi., Edward Y. Chang, Klaus Schauser, ACM Transactions on Storage 3(2), June, 2007.
  67. Optimizing Matrix Decomposition (invited)
    Kaihua Zhu, H. Cui, H. Bai, J. Li, Z. Qiu, H. Wang, H. Xu, and Edward Y. Chang,
    IEEE International Conf. on Multimdeia, Beijing, July 2007.
  68. Scalable Indexing for Perceptual Data (invited), A. Qamra, and E. Y. Chang,
    International Workshop on Multimedia Content Analysis and Mining, June 2007.
  69. Partial-Match Based Similarity Search, A. Qamra, and E. Y. Chang,
    UCSB Technical Report, March 2007. (submitted)
  70. Bayesian Reasoning for Sensor Group-Queries and Diagnosis,
    Ankur Jain, E. Y. Chang, and Y.-F. Wang, DASFAA, April 2007.
  71. RCMap: Efficiently Creating High-Quality Euclidean Embeddings, A. Qamra and E. Y. Chang,
    SIAM International Conference on Data Mining (SDM), Minneapolis, Minnesota, April 2007.

    2006

  72. Statistical Models and Algorithms for Image Annotation and Retrieval: The Mathematics of Perception,
    E. Y. Chang, An invited book chapter in Digital Multimedia Perception, Idea Group Publishing, 2006.
  73. KDX: An Indexer for Support Vector Machines,
    N. Panda and E. Y. Chang, IEEE Transactions on Knowledge and Data Engineering (TKDE), 18(6), pp. 748-63, June 2006.
  74. Active Learning in Very Large Image Databases,
    Navneet Panda, Kingshy Goh, and E. Y. Chang,
    Journal of Multimedia Tools and Applications Special Issue on Computer Vision Meets Databases.
  75. Adaptive Nonlinear Clustering in Data Streams, Ankur Jain, Zhihua Zhang, and Edward Y. Chang,
    ACM International Conference on Information and Knowledge Management (CIKM), November 2006.
  76. Mining Blog Stories Using Community-based and Temporal Clustering, Arun Qamra, Belle Tseng, E. Y. Chang,
    ACM International Conference on Information and Knowledge Management (CIKM), November 2006.
  77. Efficient Top-k Hyperplane Query Processing for Multimedia Information Retrieval, N. Panda and E. Y. Chang,
    ACM International Conference on Multimedia (MM), October 2006.
  78. A Distributed Photo Sharing and Searching System, B. Lee, W.-Y. Chen, and E. Y. Chang,
    ACM International Conference on Multimedia (MM), October 2006.
  79. Fotowiki - Distributed Map Enhancement Service (Demonstration), Wen-Yen Chen and E. Y. Chang,
    ACM International Conference on Multimedia (MM), October 2006.
  80. Fotofiti, B. Lee, W.-Y. Chen, and E. Y. Chang,
    ACM International Conference on Multimedia (MM), October 2006.
  81. Hypersphere Indexer, Navneet Panda and E. Y. Chang,
    17th Conference on Database and Expert Systems Applications (DEXA), Poland, September 2006.
  82. Learning the Unified Kernel Machines for Classification, Steven Choi, E. Y. Chang, and M. Lyu,
    ACM International Conference on Knowledge Discovery and Data Mining (KDD), August 2006.
  83. Incremental Approximate Matrix Factorization for Speeding up Support Vector Machines, G. Wu, E. Y. Chang, Y.-K. Chen, and C. Hughes,
    ACM International Conference on Knowledge Discovery and Data Mining (KDD), August 2006.
  84. Concept Boundary Detection for Speeding up SVMs, N. Panda, E. Y. Chang, and G. Wu,
    International Conference on Machine Learning (ICML), June 2006.
  85. Speeding up SVMs, G. Wu, Z.-H. Zhang, and E. Y. Chang,
    Snowbird Machine Learning Workshop, April 2006.
  86. Unified Learning Paradigm for Web-Scale Mining, E. Y. Chang and M. Lyu,
    Snowbird Machine Learning Workshop, April 2006.
  87. Color In Motion, G. Wu, A. Rahimi, K.-S. Goh, C. Tsai, A. Jain, Y. Wu, E. Y. Chang, and Y.-F. Wang,
    IEEE International Conf. on Computer Vision and Pattern Recognition (CVPR), June 2006.
  88. On Usage Models of Content-based Image Search, Filtering, and Annotation (invited paper),
    D. T.L., E. Y. Chang, K.-T. Cheng, and C.-W. B. Chang,
    IS&T/SPIE Conference on Internet Imaging, San Jose, January 2006.
  89. Dualities in Bayesian Machines, Z. Zhang, E. Y. Chang, and Michael Jordan,
    UCSB Technical Report, February 2006 (submitted).

    2005

  90. Systems Support for Preemptive Disk Scheduling,
    Z. Dimitrijevic, R. Rangaswami, and E. Y. Chang,
    IEEE Transactions on Computers Vol. 54, No. 10, pp. 1314-1326, October 2005.
  91. KBA: Kernel Boundary Alignment Considering Imbalanced Data Distribution,
    G. Wu and E. Y. Chang,
    IEEE Transactions on Knowledge and Data Engineering (TKDE), volume 17, number 6, pp.786-795, June 2005.
  92. Semantics and Feature Discovery via Confidence-based Dynamic Ensemble,
    K.-S. Goh, B. Li, and E. Y. Chang,
    ACM Transactions on Multimedia, Volume 1, Number 2, pp.168-189, May 2005.
  93. Enhanced Perceptual Distance Functions and Indexing for Image Replica Recognition,
    A. Qamra, Y. Meng, and E. Y. Chang,
    IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), Volume 27, Number 3, pp.379-391, March 2005.
  94. One, Two Class SVMs for Multiclass Image Annotation,
    K.-S. Goh and E. Y. Chang
    IEEE Transactions on Knowledge and Data Engineering (TKDE), Volume 17, Number 10, October 2005.
  95. Support Vector Machine Concept-Dependent Active Learning for Image Retrieval,
    E. Y. Chang, S. Tong, K.-S. Goh, and C.-W. Chang,
    IEEE Transactions on Multimedia (first draft 2001, submitted 2002, revised 2004, accepted 2005, publication date 2007?).
  96. Formulating Context-dependent Similarity Functions,
    Gang Wu, Navneet Panda, Edward Y. Chang,
    ACM International Conference on Multimedia (MM), pp.725-734, Singapore, November 2005 (16% accepted).
  97. Multimodal Metadata Fusion Using Causal Strength,
    Yi Wu, Edward Y. Chang, Belle Tseng,
    ACM International Conference on Multimedia (MM), pp.872-881, Singapore, November 2005 (16% accepted).
  98. Learning with Non-metric Proximity Matrices,
    G. Wu, E. Y. Chang, and Z. Zhang,
    ACM International Conference on Multimedia (MM), Singapore pp.411-414, November 2005 (poster).
  99. Statistical Foundation for Multimodal Multimedia Data Analysis and Fusion,
    E. Y. Chang,
    ACM International Conference on Multimedia (MM), Singapore, November 2005 (tutorial).
  100. Multimodal Multimedia Data Mining,
    Yi Wu (Advisor: Edward Y. Chang),
    UCSB Ph.D. Dissertation in Electrical Engineering, September 2005.
  101. A Unified Machine Learning Paradigm for Large-Scale Personalized Information Management (invited talk/paper),
    E. Y. Chang, Chu-Hong Hoi, Xinjing Wang, W.-Y. Ma, M. Lyu,
    The 5th Emerging Information Technology Conference, NTU Taipei, August 2005.
  102. Formulating Distance Functions via the Kernel Trick,
    G. Wu, E. Y. Chang, and N. Panda,
    ACM International Conference on Knowledge Discovery and Data Mining (KDD), Chicago, August 2005.
  103. Manifold Learning: A Promised Land or Work in Progress?
    M.-C. Yeh, I.-H. Lee, G. Wu, Y. Wu and E. Y. Chang,
    IEEE International Conference on Multimedia (ICME), Amsterdam, July 2005 (186/850 accepted).
  104. Inferring Image Metadata From Context and Content,
    C. Tsai, A. Qamra, and E. Y. Chang,
    IEEE International Conference on Multimedia (ICME), Amsterdam, July 2005.
  105. EXTENT for Photo Annotation (US Patent),
    E. Y. Chang, Workshop on Computer Vision Meets Databases (CVDB) in cooperation with
    ACM International Conference on Management of Data (SIGMOD), Baltimore, June 2005.
  106. Using Pivots to Index for Support Vector Machine Queries,
    A. Qamra and E. Y. Chang, Workshop on Computer Vision Meets Databases (CVDB) in cooperation with
    ACM International Conference on Management of Data (SIGMOD), Baltimore, June 2005.
  107. Exploiting Geometric Property for Support Vector Machine Indexing (see the TKDE 2006 journal long version),
    N. Panda and E. Y. Chang,
    SIAM International Conference on Data Mining (SDM), Newport Beach, April 2005 (18% accepted).
  108. Kronecker Factorization for Speeding up Kernel Machines,
    G. Wu, Z. Zhang, and E. Y. Chang,
    SIAM International Conference on Data Mining (SDM), Newport Beach, April 2005.
  109. An Analysis of Transformation on Non-Positive Semidefinite Similarity Matrix for Kernel Machines,
    G. Wu, Z. Zhang, and E. Y. Chang,
    ICML (conditionally accepted), UCSB Technical Report, March 2005.
  110. Storage and Retrieval Methods and Applications for Multimedia,
    Rainer Lienhart, Noboru Babaguchi, and E. Y. Chang (Eds),
    Electronic Imaging Science & Technology, SPIE Vol. 5682, January 2005.

    2004

  111. Anatomy of a Multi-camera Security Surveillance System,
    L. Jiao, Y. Wu, G. Wu, E. Y. Chang, Y.-F. Wang,
    ACM Multimedia System Journal Special Issue, Volume 10, Number 2, pp. 144-163, November 2004.
  112. Distance Function Design and Fusion for Sequence Data,
    Y. Wu and E. Y. Chang,
    ACM International Conference on Information and Knowledge Management (CIKM), pp.324-333, DC, November 2004 (19% accepted).
  113. Aligning Boundary in Kernel Space for Learning Imbalanced Dataset,
    G. Wu and E. Y. Chang,
    IEEE International Conference on Data Mining (ICDM), pp.265-272, United Kingdom, November 2004 (39/452 or 9% accepted).
  114. Event Sensing on Distributed Video-Sensor Networks (keynote),
    Basenets 2004, in cooperation with ACM/IEEE Conf. on Broadband Networks, San Jose, October 2004.
  115. Concept-dependent Multimodal Active Learning for Image Retrieval (Best Paper Nominee),
    K. Goh, E. Y. Chang, and W.-C. Lai,
    ACM International Conference on Multimedia (MM), pp.564-571, New York, October 2004.
  116. Optimal Multimodal Fusion for Multimedia Data Analysis,
    Y. Wu, E. Y. Chang, K. C.-C. Chang, and John R. Smith,
    ACM International Conference on Multimedia (MM), pp.572-579, New York, October 2004.
  117. Statistical Learning for High Dimensional Data Understanding,
    Kingshy Goh (Advisor: Edward Y. Chang),
    UCSB Ph.D. Dissertation in Electrical Engineering, September 2004.
  118. Real-time Storage Systems for Multimedia,
    Raju Rangaswami (Advisor: Edward Y. Chang),
    UCSB Ph.D. Dissertation in Computer Science, September 2004.
  119. Adaptive Sampling for Sensor Networks,
    A. Jain and E. Y. Chang,
    International Workshop on Data Management for Sensor Networks
    in conjunction with VLDB, Toronto, August 2004.
  120. Adaptive Stream Resource Management Using Kalman Filters,
    A. Jain, E. Y. Chang, and Y.-F. Wang,
    ACM International Conference on Management of Data (SIGMOD), pp.11-22, Paris, June 2004 (16% accepted).
  121. On Scalability of Active Learning for Formulating Query Concepts (long version of the ICME invited paper),
    W.-C. Lai, Kingshy Goh, and E. Y. Chang,
    Workshop on Computer Vision Meets Databases (CVDB) in cooperation with
    ACM International Conference on Management of Data (SIGMOD), pp.11-18, Paris, June 2004.
  122. Multimodal Kernel Fusion for News Video Concept Detection, (invited paper),
    Y. Wu, C.-Y. Lin, E. Y. Chang and J. R. Smith,
    IEEE International Conference on Image Processing (ICIP), Singapore, 2004.
  123. Active Learning and its Scalability for Image Retrieval (invited paper),
    E. Y. Chang and W.-C. Lai,
    IEEE International Conference on Multimedia (ICME), Taipei June 2004.
  124. Toward Building a Robust and Intelligent Video Surveillance System: A Case Study (invited paper),
    E. Y. Chang, Y.-F. Wang, and I-J. Wang,
    IEEE International Conference on Multimedia (ICME), Taipei, June 2004.
  125. Why One Example Is Not Enough for An Image Query,
    Thomas E. Bjoerge and Edward Y. Chang
    IEEE International Conference on Multimedia (ICME), Taipei, June 2004.
  126. Quality-of-Service Scheduling in Storage Systems,
    Zoran Dimitrijevic (Advisor: Edward Y. Chang),
    UCSB Ph.D. Dissertation in Computer Science, June 2004.
  127. Distributed Video Data Fusion and Mining,
    E. Y. Chang, Y.-F. Wang, and Volkan Rodoplu,
    SPIE Conf. on Defense and Security --- Sensors, and Command, Control, Communications, and Intelligence Technologies
    for Homeland Security and Homeland Defense (co-chaired by DARPA, Dod/Doj), Orlando, April 2004.
  128. Architectural Support for Preemptive RAID Schedulers,
    Z. Dimitrijevic, R. Rangaswami, and E. Y. Chang,
    USENIX Conference on File and Storage Technologies (FAST), San Francisco, April 2004.
  129. Using MEGA to Predict Molecular Bio-Activity,
    A. Qamra, Kingshy Goh, and E. Y. Chang,
    ACM International Conference on Research in Computational Molecular Biology (poster), San Diego, March 2004.

    2003

  130. MEGA --- The Maximizing Expected Generalization Algorithm for Learning Complex Query Concepts,
    E. Y. Chang and B. Li,
    ACM Transactions on Information Systems (TOIS), Volume 21, Issue 4, pp.347-382, October 2003.
  131. Disk-aware Data Management for Interactive Media Services,
    R. Rangaswami, Z. Dimitrijevic, E. Y. Chang, and S.-H. G. Chan,
    IEEE Transactions on Multimedia, Volume 5, Number 4, pp.558-569, December, 2003.
  132. Discovery of A Perceptual Distance Function for Measuring Image Similarity,
    B. Li, E. Y. Chang,
    ACM Multimedia Journal Special Issue on Content-Based Image Retrieval, Volume 8, Number 6, pp. 512-522, April 2003 (12% accepted).
  133. CBSA: Content-based Soft Annotation for Multimodal Image Retrieval Using Bayes Point Machines,
    E. Y. Chang, K. Goh, G. Sychay, and G. Wu,
    IEEE Transactions on Circuits and Systems for Video Technology Special Issue
    on Conceptual and Dynamical Aspects of Multimedia Content Description, Volume 13, Number 1, pp.26-38, January 2003 (16% accepted).
  134. Multi-camera Spatio-temporal Fusion and Biased Sequence-data Learning for Security Surveillance,
    G. Wu, Y. Wu, L. Jiao, Y.-F. Wang, and E. Y. Chang,
    ACM International Conference on Multimedia (MM), pp. 528-538, Berkeley, November 2003 (17% accepted).
  135. Confidence-based Dynamic Ensemble for Image Annotation and Semantics Discovery (best student papers),
    B. Li, K.-S. Goh, and E. Y. Chang,
    ACM International Conference on Multimedia (MM), pp. 195-206, Berkeley, November 2003 (17% accepted).
  136. The Anatomy of A Multimodal Information Filter,
    Y.-L. Wu, K.-S. Goh, B. Li, H. You, E. Y. Chang,
    ACM International Conference on Knowledge Discovery and Data Mining (KDD), pp. 462-471, Washington DC, August 2003.
  137. Adaptive Feature-Space Conformal Transformation for Imbalanced-Data Learning,
    G. Wu and E. Y. Chang,
    The Twentieth International Conference on Machine Learning (ICML), pp.816-823, Washington DC, August 2003.
  138. Class-boundary Alignment for Imbalanced Dataset Learning,
    G. Wu and E. Y. Chang,
    The Twentieth International Conference on Machine Learning (ICML) Workshop on Learning from Imbalanced Datasets, pp.49-56, Washington DC, August 2003.
  139. SFINX: A Multi-sensor Fusion and Mining System (invited paper),
    Z. Dimitrijevic, G. Wu, and E. Y. Chang,
    IEEE Pacific-rim Conference on Multimedia, Singapore, December 2003.
  140. Multimedia Web Services for Filtering, Searching, and Digital Rights Management (invited paper),
    Y.-L. Wu, C.-W. Chang, W.-C. Lai, K.-T. Cheng, and E. Y. Chang,
    IEEE Pacific-rim Conference on Multimedia, Singapore, December 2003.
  141. Statistical Learning for Effective Visual Information Retrieval (invited paper),
    E. Y. Chang, B. Li, G. Wu, and K.-S. Goh,
    IEEE International Conference on Image Processing (ICIP), pp.609-612, Barcelona, September 2003.
  142. Statistical Learning for Visual Information Analysis and Retrieval (tutorial),
    IEEE International Conference on Multimedia, Baltimore, July 2003.
  143. Invariant Feature Extraction and Biased Statistical Inference for Video Surveillance,
    Y. Wu, L. Jiao, G. Wu, E. Y. Chang, and Y.-F. Wang,
    IEEE International Conference on Advanced Video and Signal Based Surveillance, pp.284-289, Miami, July 2003.
  144. Enhancing DPF for Near-replica Image Recognition,
    Y. Meng, E. Y. Chang, and B. Li,
    IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), pp.416-423, Madison, June 2003.
  145. A Multimodal Image Database System (Demo),
    E. Y. Chang, B. Li, W.-C. Lai, C. Chang, K.-T. Cheng, and M. Crandell (with VIMA Technologies),
    IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), Madison, June 2003.
  146. Statistical Learning and Data Mining for Visual Information Retrieval,
    Beitao Li (Advisor: Edward Y. Chang),
    UCSB Ph.D. Dissertation, June 2003.
  147. Design and Implementation of Semi-Preemptible IO,
    Z. Dimitrijevic, R. Rangaswami, and E. Y. Chang,
    USENIX Conference on File and Storage Technologies (FAST), pp.145-158, San Francisco, April 2003.
  148. Statistical Learning Methods for Emerging Database Applications (plenary tutorial),
    DASFAA, Kyoto University, Kyoto, March 2003.
  149. MEMS-based Disk Buffer for Streaming Media Servers,
    R. Rangaswami, Z. Dimitrijevic, E. Y. Chang, and K. E. Schauser,
    IEEE International Conference on Data Engineering (ICDE), pp.619-630, Bangalore, March 2003 (13% accepted).
  150. Image Copy Detection Using DPF,
    Y. Meng and E. Y. Chang,
    IS&T/SPIE International Conference on Storage and Retrieval for Media Databases, pp.176-186, San Jose, January 2003.
  151. A Framework for Detecting Hazardous Events,
    Y. Wu, G. Wu, and E. Y. Chang,
    IS&T/SPIE International Conference on Storage and Retrieval for Media Databases, San Jose, January 2003.

    2002

  152. Clindex: Approximate Similarity Queries in High-Dimensional Spaces,
    C. Li, E. Y. Chang, Hector Garcia-Molina, and Gio Wiederhold,
    IEEE Transactions on Knowledge and Data Engineering (TKDE), Volume 14, Number 4, pp.792-808, July/August 2002.
  153. Large-Scale Image Search on the Web,
    W.-C. Lai, E. Y. Chang and K.-T. Cheng,
    A book chapter in Web Document Analysis: Challenges and Opportunities,
    World Scientific - Series in Machine Perception and Artificial Intelligence, 2002.
  154. DynDex: a Dynamic and Non-metric Space Indexer,
    K. Goh, B. Li, and E. Y. Chang,
    ACM International Conference on Multimedia (MM), pp.466-475, Juan Les Pin, France, December 2002 (14% accepted).
  155. Virtual IO: Preemptible Disk Access,
    Z. Dimitrijevic, R. Rangaswami, and E. Y. Chang,
    ACM International Conference on Multimedia (MM), Juan Les Pin, December 2002.
  156. PBIR-MM: Multimodal Image Retrieval and Annotation (Demo),
    W.-C. Lai, C. Chang, E. Y. Chang, K.-T. Cheng, and M. Crandell,
    ACM International Conference on Multimedia (MM), Juan Les Pin, December 2002.
  157. An Anatomy of a Large-scale Image Search Engine,
    W.-C. Lai, E. Y. Chang and K.-T. Cheng,
    IEEE MSE, Irvine, December 2002.
  158. Hybrid Learning Schemes for Multimedia Information Retrieval,
    W.-C. Lai, E. Y. Chang, and K.-T. Cheng,
    IEEE Pacific-Rim Conference on Multimedia, Taiwan, December 2002.
  159. MORF: A Distributed Multimodal Information Filtering System
    Y.-L. Wu, E. Y. Chang, et. al.,
    IEEE Pacific-Rim Conference on Multimedia, Taiwan, December 2002.
  160. An Architecture of a Web-based Collaborative Image Search Engine,
    W.-C. Lai, G. Sychay, and E. Y. Chang,
    The 10th International Conference on Cooperative Information Systems (CoopIS), Irvine, October 2002.
  161. DPF --- A Perceptual Distance Function for Image Retrieval,
    B. Li, E. Y. Chang, C.-T. Wu,
    IEEE International Conference on Image Processing (ICIP), Rochester, September 2002.
  162. BPMs vs. SVMs for Image Classification,
    G. Wu, E. Y. Chang, and C.-S. Li,
    IEEE International Conference on Multimedia, Switzerland, August 2002.
  163. Video Shot Transition Detection,
    Y. Wu, E. Y. Chang, and B. Li,
    IEEE International Conference on Multimedia, Switzerland, August 2002.
  164. The xTream Multimedia System,
    Z. Dimitrijevic, R. Rangaswami, and E. Y. Chang,
    IEEE International Conference on Multimedia, Switzerland, August 2002.
  165. Effective Image Annotation via Active Learning,
    G. Sychay, E. Y. Chang, and K. Goh,
    IEEE International Conference on Multimedia, Switzerland, August 2002.
  166. On Learning Perceptual Distance Functions for Image Retrieval, (invited paper),
    E. Y. Chang and B. Li,
    IEEE International Conference on Acoustics, Speech and Signal Processing, Orlando, May 2002.
  167. Indexing Multimedia Data in High-dimensional and Weighted Feature Spaces (invited paper),
    K. Goh and E. Y. Chang,
    The 6th Visual Database Conference, Australia, May 2002.
  168. An Anatomy of a Large-scale Image Search Engine,
    W.-C. Lai, E. Y. Chang, and K.-T. Cheng,
    WWW11, Hawaii, May 2002.
  169. Supporting Subjective Image Queries without Seeding Requirements --- Proposing Test Queries for Benchathlon,
    E. Y. Chang and K.-T. Cheng,
    IS&T/SPIE Internet Imaging III, pp.225-232, San Jose, January 2002.

    2001

  170. Answering Queries with Useful Bindings,
    C. Li and E. Y. Chang,
    ACM Transactions on Databases (TODS), Volume 26, Number 3, pp.313-343, September 2001.
  171. Support Vector Machine Active Learning for Image Retrieval,
    S. Tong and E. Y. Chang,
    ACM International Conference on Multimedia (MM), pp.107-118, Ottawa, October 2001 (16% accepted).
  172. PBIR: A System that Learns Subjective Image Query Concepts,
    E. Y. Chang, K.-T. Cheng, W.-C. Lai, C. Wu, C. Chang and Y. Wu,
    ACM International Conference on Multimedia (Demo), pp.611-614, Ottawa, October 2001.
  173. Spin Discriminant Analysis: Using a One Dimensional Classifier for High-Dimensional Classification Problems,
    H. You and E. Y. Chang,
    IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp.968-975, Hawaii, December 2001 (25% accepted).
  174. SVM Binary Classifier Ensembles for Multi-Class Image Classification,
    K. Goh, E. Y. Chang and K.-T. Cheng,
    ACM International Conference on Information and Knowledge Management (CIKM), pp.395-402, Atlanta, November 2001 (24% accepted).
  175. Mining Image Features for Efficient Query Processing,
    B. Li, W.-C. Lai, E. Y. Chang and K.-T. Cheng,
    IEEE International Conference on Data Mining (ICDM), pp.353-360, San Jose, November 2001 (19% accepted).
  176. Support Vector Machine Pairwise Classifiers with Error Reduction for Image Classification,
    K. Goh, E. Y. Chang and K.-T. Cheng,
    ACM International Conference on Multimedia (MIR Workshop), Ottawa, October 2001.
  177. Learning and Measuring Perceptual Similarity (invited paper),
    E. Y. Chang,
    Proceedings of NSF/INRIA/Berkeley/IBM MMCBIR Workshop, pp.71-74,
    INRIA - Rocquencourt, France, September 2001.
  178. Learning Image Query Concepts via Intelligent Sampling,
    B. Li, E. Y. Chang, and C.-S. Li,
    IEEE International Conference on Multimedia, pp.1168-1171, Tokyo, August 2001.
  179. NNEW - Nearest Neighbor Expansion by Weighting in Image Database Retrieval,
    H. You, E. Y. Chang and B. Li,
    IEEE International Conference on Multimedia, pp.245-248, Tokyo, August 2001.
  180. Data Placement for Multiuser Interactive Digital VCR,
    R. Rangaswami, E. Y. Chang, C. Li and M. Chen,
    IEEE International Conference on Multimedia, pp. 1128-1131, Tokyo, August, 2001.
  181. User-Level SCSI Disk Feature Extraction,
    Z. Dimitrijevic, R. Rangaswami, E. Y. Chang, D. Watson, A. Acharya,
    UCSB Technical Report, July 2001.
  182. Providing Scalable On-Demand Interactive Video Services by Means of Multicasting and Client Buffering.
    S.-H. Chan and E. Y. Chang,
    IEEE International Conference on Communications, Helsinki, June, 2001.
  183. PBIR - Perception-Based Image Retrieval, [Demo Description] [Full Paper #1] [Full Paper #2]
    E. Y. Chang, K.-T. Cheng and L. Chang,
    ACM Sigmod (Demo), Santa Barbara, May 2001.
  184. On Answering Queries in the Presence of Limited Access Patterns,
    C. Li and E. Y. Chang,
    International Conference on Database Theory (ICDT), London, January 2001.

    <= 2000 (Stanford Work)

  185. Managing Parallel Disks for Continuous Media Data,
    Edward Y. Chang, Chen Li and Hector Garcia-Molina,
    A Book Chapter in Information Organization & Databases, p.107-120
    Kluwer Publisher, 2000.
  186. Maximizing QoS for Interactive DTV Clients,
    Edward Y. Chang,
    The Computer Communications Journal (Special Issue), Elsevier, Volume 23, Number 3, February 2000.
  187. Towards Perception-Based Image Retrieval,
    Edward Y. Chang, Beitao Li and Chen Li,
    IEEE Workshop on Content-based Access of Image and Video Libraries, p.101-105,
    South Carolina, June, 2000.
  188. Query Planning with Limited Source Capabilities,
    Chen Li and Edward Y. Chang,
    IEEE International Conference on Data Engineering (ICDE), p. 401-412,
    San Diego, March 2000 (14% accepted).
  189. piDTV: A Client-Based Interactive DTV Architecture,
    Edward Y. Chang,
    ACM International Conference on Multimedia (MM), Part 2, p.111-114, Orlando, November 1999.
  190. Searching Near-Replicas of Images via Clustering,
    Edward Y. Chang, Chen Li, James Ze Wang, Peter Mork, and Gio Wiederhold,
    IS&T/SPIE Symposium of Voice, Video, and Data Communications, p.281-92, Boston, September 1999.
  191. PowerBookmarks: A System for Personalizable Web Information Organization, Sharing, and Management,
    Quoc Vu, Wen-Syan Li and Edward Y. Chang,
    ACM Sigmod (Demo), p.565-67, Philadelphia, June 1999.
  192. On Constructing Personalized Navigation Trees for Web Documents,
    K. Vu, W. Li, E. Y. Chang,
    WWW Conference (poster), Toronto, May 1999.
  193. MEDIC: A Memory & Disk Cache for Multimedia Clients,
    Edward Y. Chang and Hector Garcia-Molina,
    IEEE International Conference on Multimedia Computing and Systems, p.493-99,
    Florence, Italy, June 1999.
  194. On Managing Continuous Media Data,
    Edward Y. Chang (Advisor: Hector Garcia Molina),
    Stanford University Ph.D. Dissertation, August 1999.
  195. Accounting for Memory Use, Cost, Throughput, and Latency in the Design of a Media Server,
    Edward Y. Chang and Hector Garcia-Molina,
    Stanford University Technical Report SIDL-WP-1998-0096, July 1999.
  196. RIME: A Replicated Image Detector for the World-Wide Web,
    Edward Y. Chang, James Ze Wang, Chen Li, and Gio Wiederhold,
    IS&T/SPIE Symposium of Voice, Video, and Data Communications,
    Boston, November 1998.
  197. An Image Coding and Reconstruction Scheme for Mobile Computing,
    Edward Y. Chang,
    The 5th IDMS (Springer-Verlag LNCS #1483), p.137-148,
    Oslo, Norway, September 1998.
    (Best papers selected for journal submission)
  198. 2D BubbleUp - Managing Parallel Disks for Media Servers,
    Edward Y. Chang, Hector Garcia-Molina, and Chen Li,
    International Conference on Foundations of Data Organization (FODO), p221-230,
    Kobe, Japan, November 1998.
  199. Cost-Based Media Server Design,
    Edward Y. Chang and Hector Garcia-Molina,
    The 8th Research Issues in Data Engineering, p.76-83,
    Orlando, February 1998.
    (Best papers selected for journal submission)
  200. BubbleUp: Low Latency Fast-Scan for Media Servers,
    Edward Y. Chang and Hector Garcia-Molina,
    ACM International Conference on Multimedia (MM), p.87-98,
    Seattle, November 1997.
  201. Effective Memory Use in a Media Server,
    Edward Y. Chang and Hector Garcia-Molina,
    The 23rd Very Large Data Base (VLDB) Conference, p.496-505,
    Athens, Greece, August 1997 (13% accepted).
  202. Reducing Initial Latency in Media Servers,
    Edward Y. Chang and Hector Garcia-Molina,
    IEEE Multimedia, vol.4, no.3, p.50-61, July 1997.
  203. An Open and Extensible Event-Based Transaction Manager,
    Edward C. Cheng, Edward Y. Chang, Johannes Klein, Dora Lee, Edward Lu, Alberto Lutgardo, and Ron Obermarck,
    USENIX Summer 1991: 49-58.


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