Sheng Ma

2008
59	EE	Qin Jiang, Sheng Ma: Periodic and Subharmonic Solutions for a Class of Local Nonquadratic Second-Order Hamiltonian Systems. CSSE (2) 2008: 818-821
58	EE	Tao Li, Chang-Shing Perng, Sheng Ma: Guest editorial: special issue on temporal data mining: theory, algorithms and applications. Data Min. Knowl. Discov. 16(1): 1-3 (2008)
57	EE	Hui Xiong, Wenjun Zhou, Mark Brodie, Sheng Ma: Top-k Correlation Computation. INFORMS Journal on Computing 20(4): 539-552 (2008)
2007
56	EE	Carlotta Domeniconi, Dimitrios Gunopulos, Sheng Ma, Bojun Yan, Muna Al-Razgan, Dimitris Papadopoulos: Locally adaptive metrics for clustering high dimensional data. Data Min. Knowl. Discov. 14(1): 63-97 (2007)
2006
55	EE	Chang-Shing Perng, Haixun Wang, Sheng Ma: Fast Relevance Discovery in Time Series. ICDM 2006: 1016-1020
54	EE	Fei Wang, Sheng Ma, Liuzhong Yang, Tao Li: Recommendation on Item Graphs. ICDM 2006: 1119-1123
53	EE	Hui Xiong, Mark Brodie, Sheng Ma: TOP-COP: Mining TOP-K Strongly Correlated Pairs in Large Databases. ICDM 2006: 1162-1166
2005
52	EE	Mark Brodie, Sheng Ma, Guy M. Lohman, Laurent Mignet, Natwar Modani, Mark Wilding, Jon Champlin, Peter Sohn: Quickly Finding Known Software Problems via Automated Symptom Matching. ICAC 2005: 101-110
51	EE	Wei Peng, Tao Li, Sheng Ma: Mining Logs Files for Computing System Management. ICAC 2005: 309-310
50	EE	David Loewenstern, Sheng Ma, Abdi Salahshour: PICCIL: Interactive Learning to Support Log File Categorization. ICAC 2005: 311-312
49	EE	Alina Beygelzimer, Mark Brodie, Sheng Ma, Irina Rish: Test-based diagnosis: tree and matrix representations. Integrated Network Management 2005: 529-542
48	EE	Chang-Shing Perng, Sheng Ma, S. Lin, David Thoenen: Data-driven monitoring design of service level and resource utilization. Integrated Network Management 2005: 89-101
47	EE	Tao Li, Feng Liang, Sheng Ma, Wei Peng: An integrated framework on mining logs files for computing system management. KDD 2005: 776-781
46		Alina Beygelzimer, Emre Erdogan, Sheng Ma, Irina Rish: Statictical Models for Unequally Spaced Time Series. SDM 2005
45		Tao Li, Sheng Ma, Mitsunori Ogihara: Wavelet Methods in Data Mining. The Data Mining and Knowledge Discovery Handbook 2005: 603-626
44		Mark Brodie, Sheng Ma, Leonid Rachevsky, Jon Champlin: Automated Problem Determination using Call-Stack Matching. J. Network Syst. Manage. 13(2): (2005)
43	EE	Haixun Wang, Chang-Shing Perng, Sheng Ma, Philip S. Yu: Demand-driven frequent itemset mining using pattern structures. Knowl. Inf. Syst. 8(1): 82-102 (2005)
42	EE	Wei Peng, Tao Li, Sheng Ma: Mining logs files for data-driven system management. SIGKDD Explorations 7(1): 44-51 (2005)
2004
41	EE	Tao Li, Mitsunori Ogihara, Sheng Ma: On combining multiple clusterings. CIKM 2004: 294-303
40	EE	Genady Grabarnik, Abdi Salahshour, Balan Subramanian, Sheng Ma: Generic Adapter Logging Toolkit. ICAC 2004: 308-309
39	EE	Tao Li, Sheng Ma: Mining Temporal Patterns Without Predefined Time Windows. ICDM 2004: 451-454
38	EE	Tao Li, Sheng Ma, Mitsunori Ogihara: Entropy-based criterion in categorical clustering. ICML 2004
37	EE	Irina Rish, Mark Brodie, Natalia Odintsova, Sheng Ma, Genady Grabarnik: Real-time problem determination in distributed systems using active probing. NOMS (1) 2004: 133-146
36	EE	Tao Li, Sheng Ma: IFD: Iterative Feature and Data Clustering. SDM 2004
35	EE	Carlotta Domeniconi, Dimitris Papadopoulos, Dimitrios Gunopulos, Sheng Ma: Subspace Clustering of High Dimensional Data. SDM 2004
34	EE	Tao Li, Sheng Ma, Mitsunori Ogihara: Document clustering via adaptive subspace iteration. SIGIR 2004: 218-225
2003
33	EE	Dimitris Papadopoulos, Carlotta Domeniconi, Dimitrios Gunopulos, Sheng Ma: Clustering gene expression data in SQL using locally adaptive metrics. DMKD 2003: 35-41
32	EE	Wei Fan, Haixun Wang, Philip S. Yu, Sheng Ma: Is random model better? On its accuracy and efficiency. ICDM 2003: 51-58
31		Mark Brodie, Irina Rish, Sheng Ma, Natalia Odintsova: Active Probing Strategies for Problem Diagnosis in Distributed Systems. IJCAI 2003: 1337-1338
30	EE	Ramendra K. Sahoo, Adam J. Oliner, Irina Rish, Manish Gupta, José E. Moreira, Sheng Ma, Ricardo Vilalta, Anand Sivasubramaniam: Critical event prediction for proactive management in large-scale computer clusters. KDD 2003: 426-435
29	EE	Chang-Shing Perng, David Thoenen, Genady Grabarnik, Sheng Ma, Joseph L. Hellerstein: Data-driven validation, completion and construction of event relationship networks. KDD 2003: 729-734
2002
28		Irina Rish, Mark Brodie, Sheng Ma: Accuracy vs. Efficiency Trade-offs in Probabilistic Diagnosis. AAAI/IAAI 2002: 560-566
27	EE	Chang-Shing Perng, Haixun Wang, Sheng Ma, Joseph L. Hellerstein: User-directed Exploration of Mining Space with Multiple Attributes. ICDM 2002: 394-401
26	EE	Ricardo Vilalta, Sheng Ma: Predicting Rare Events In Temporal Domains. ICDM 2002: 474-481
25	EE	Haixun Wang, Chang-Shing Perng, Sheng Ma, Philip S. Yu: Mining Associations by Pattern Structure in Large Relational Tables. ICDM 2002: 482-489
24	EE	Sheng Ma, Joseph L. Hellerstein, Chang-Shing Perng, Genady Grabarnik: Progressive and Interactive Analysis of Event Data Using Event Miner. ICDM 2002: 661-664
23		Mark M. Maccabee, Sheng Ma: Web Application Performance: Realistic Work Load for Stress Test. Int. CMG Conference 2002: 353-362
22	EE	Carlotta Domeniconi, Chang-Shing Perng, Ricardo Vilalta, Sheng Ma: A Classification Approach for Prediction of Target Events in Temporal Sequences. PKDD 2002: 125-137
21	EE	Feng Liang, Sheng Ma, Joseph L. Hellerstein: Discovering Fully Dependent Patterns. SDM 2002
20	EE	Mark Brodie, Irina Rish, Sheng Ma: Intelligent probing: A cost-effective approach to fault diagnosis in computer networks. IBM Systems Journal 41(3): 372-385 (2002)
19	EE	Ricardo Vilalta, Chidanand Apté, Joseph L. Hellerstein, Sheng Ma, Sholom M. Weiss: Predictive algorithms in the management of computer systems. IBM Systems Journal 41(3): 461-474 (2002)
18	EE	Joseph L. Hellerstein, Sheng Ma, Chang-Shing Perng: Discovering actionable patterns in event data. IBM Systems Journal 41(3): 475-493 (2002)
17	EE	Michelle X. Zhou, Sheng Ma, Ying Feng: Applying machine learning to automated information graphics generation. IBM Systems Journal 41(3): 504-523 (2002)
16	EE	Alina Beygelzimer, Chang-Shing Perng, Sheng Ma: Fast ordering of large categorical datasets for visualization. Intell. Data Anal. 6(4): 379-395 (2002)
15	EE	Chang-Shing Perng, Haixun Wang, Sheng Ma, Joseph L. Hellerstein: Discovery in multi-attribute data with user-defined constraints. SIGKDD Explorations 4(1): 56-64 (2002)
2001
14	EE	Sheng Ma, Joseph L. Hellerstein: Mining Partially Periodic Event Patterns with Unknown Periods. ICDE 2001: 205-214
13	EE	Sheng Ma, Joseph L. Hellerstein: Mining Mutually Dependent Patterns. ICDM 2001: 409-416
12	EE	Chang-Shing Perng, Haixun Wang, Sheng Ma, Joseph L. Hellerstein: FARM: A Framework for Exploring Mining Spaces with Multiple Attributes. ICDM 2001: 449-456
11	EE	Alina Beygelzimer, Chang-Shing Perng, Sheng Ma: Fast ordering of large categorical datasets for better visualization. KDD 2001: 239-244
10	EE	Sheng Ma, Chuanyi Ji: Modeling heterogeneous network traffic in wavelet domain. IEEE/ACM Trans. Netw. 9(5): 634-649 (2001)
2000
9	EE	David J. Taylor, Nagui Halim, Joseph L. Hellerstein, Sheng Ma: Scalable Visualization of Event Data. DSOM 2000: 47-58
8		Joseph L. Hellerstein, Sheng Ma: Mining Event Data for Actionable Patterns. Int. CMG Conference 2000: 307-318
1999
7	EE	Sheng Ma, Joseph L. Hellerstein: EventBrowser: A Flexible Tool for Scalable Analysis of Event Data. DSOM 1999: 285-296
6		Chuanyi Ji, Sheng Ma, Xusheng Tian: Approximation Capability of Independent Wavelet Models to Heterogeneous Network Traffic. INFOCOM 1999: 170-177
1998
5		Sheng Ma, Chuanyi Ji: Modeling Video Traffic in the Wavelet Domain. INFOCOM 1998: 201-208
4	EE	Sheng Ma, Chuanyi Ji: Fast training of recurrent networks based on the EM algorithm. IEEE Transactions on Neural Networks 9(1): 11-26 (1998)
1997
3		Sheng Ma, Chuanyi Ji: Wavelet Models for Video Time-Series. NIPS 1997
2	EE	Sheng Ma, Chuanyi Ji, James Farmer: An Efficient EM-based Training Algorithm for Feedforward Neural Networks. Neural Networks 10(2): 243-256 (1997)
1996
1	EE	Chuanyi Ji, Sheng Ma: Combinations of Weak Classifiers. NIPS 1996: 494-500

Coauthor Index

1	Muna Al-Razgan	[56]
2	Chidanand Apté	[19]
3	Alina Beygelzimer	[11] [16] [46] [49]
4	Mark Brodie	[20] [28] [31] [37] [44] [49] [52] [53] [57]
5	Jon Champlin	[44] [52]
6	Carlotta Domeniconi	[22] [33] [35] [56]
7	Emre Erdogan	[46]
8	Wei Fan	[32]
9	James Farmer	[2]
10	Ying Feng	[17]
11	Genady Grabarnik	[24] [29] [37] [40]
12	Dimitrios Gunopulos	[33] [35] [56]
13	Manish Gupta	[30]
14	Nagui Halim	[9]
15	Joseph L. Hellerstein	[7] [8] [9] [12] [13] [14] [15] [18] [19] [21] [24] [27] [29]
16	Chuanyi Ji	[1] [2] [3] [4] [5] [6] [10]
17	Qin Jiang	[59]
18	Tao Li	[34] [36] [38] [39] [41] [42] [45] [47] [51] [54] [58]
19	Feng Liang	[21] [47]
20	S. Lin	[48]
21	David Loewenstern	[50]
22	Guy M. Lohman	[52]
23	Mark M. Maccabee	[23]
24	Laurent Mignet	[52]
25	Natwar Modani	[52]
26	José E. Moreira	[30]
27	Natalia Odintsova	[31] [37]
28	Mitsunori Ogihara (Mitsunori Ogiwara)	[34] [38] [41] [45]
29	Adam J. Oliner	[30]
30	Dimitris Papadopoulos	[33] [35] [56]
31	Wei Peng	[42] [47] [51]
32	Chang-Shing Perng	[11] [12] [15] [16] [18] [22] [24] [25] [27] [29] [43] [48] [55] [58]
33	Leonid Rachevsky	[44]
34	Irina Rish	[20] [28] [30] [31] [37] [46] [49]
35	Ramendra K. Sahoo	[30]
36	Abdi Salahshour	[40] [50]
37	Anand Sivasubramaniam	[30]
38	Peter Sohn	[52]
39	Balan Subramanian	[40]
40	David J. Taylor	[9]
41	David Thoenen	[29] [48]
42	Xusheng Tian	[6]
43	Ricardo Vilalta	[19] [22] [26] [30]
44	Fei Wang	[54]
45	Haixun Wang	[12] [15] [25] [27] [32] [43] [55]
46	Sholom M. Weiss	[19]
47	Mark Wilding	[52]
48	Hui Xiong	[53] [57]
49	Bojun Yan	[56]
50	Liuzhong Yang	[54]
51	Philip S. Yu	[25] [32] [43]
52	Michelle X. Zhou	[17]
53	Wenjun Zhou	[57]

Colors in the list of coauthors