Sheng Ma

	2009
60		Sheng Ma, Libo Huang, Zhiying Wang, Kui Dai: Implementation of OpenVG Path and Paint Algorithms on Synchronous Data Triggered Architecture with Optimization. NAS 2009: 379-385
	2008
59		Qin Jiang, Sheng Ma: Periodic and Subharmonic Solutions for a Class of Local Nonquadratic Second-Order Hamiltonian Systems. CSSE (2) 2008: 818-821
58		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		Hui Xiong, Wenjun Zhou, Mark Brodie, Sheng Ma: Top-k Correlation Computation. INFORMS Journal on Computing 20(4): 539-552 (2008)
	2007
56		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		Chang-Shing Perng, Haixun Wang, Sheng Ma: Fast Relevance Discovery in Time Series. ICDM 2006: 1016-1020
54		Fei Wang, Sheng Ma, Liuzhong Yang, Tao Li: Recommendation on Item Graphs. ICDM 2006: 1119-1123
53		Hui Xiong, Mark Brodie, Sheng Ma: TOP-COP: Mining TOP-K Strongly Correlated Pairs in Large Databases. ICDM 2006: 1162-1166
	2005
52		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		Wei Peng, Tao Li, Sheng Ma: Mining Logs Files for Computing System Management. ICAC 2005: 309-310
50		David Loewenstern, Sheng Ma, Abdi Salahshour: PICCIL: Interactive Learning to Support Log File Categorization. ICAC 2005: 311-312
49		Alina Beygelzimer, Mark Brodie, Sheng Ma, Irina Rish: Test-based diagnosis: tree and matrix representations. Integrated Network Management 2005: 529-542
48		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		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		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		Wei Peng, Tao Li, Sheng Ma: Mining logs files for data-driven system management. SIGKDD Explorations 7(1): 44-51 (2005)
	2004
41		Tao Li, Mitsunori Ogihara, Sheng Ma: On combining multiple clusterings. CIKM 2004: 294-303
40		Genady Grabarnik, Abdi Salahshour, Balan Subramanian, Sheng Ma: Generic Adapter Logging Toolkit. ICAC 2004: 308-309
39		Tao Li, Sheng Ma: Mining Temporal Patterns Without Predefined Time Windows. ICDM 2004: 451-454
38		Tao Li, Sheng Ma, Mitsunori Ogihara: Entropy-based criterion in categorical clustering. ICML 2004
37		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		Tao Li, Sheng Ma: IFD: Iterative Feature and Data Clustering. SDM 2004
35		Carlotta Domeniconi, Dimitris Papadopoulos, Dimitrios Gunopulos, Sheng Ma: Subspace Clustering of High Dimensional Data. SDM 2004
34		Tao Li, Sheng Ma, Mitsunori Ogihara: Document clustering via adaptive subspace iteration. SIGIR 2004: 218-225
	2003
33		Dimitris Papadopoulos, Carlotta Domeniconi, Dimitrios Gunopulos, Sheng Ma: Clustering gene expression data in SQL using locally adaptive metrics. DMKD 2003: 35-41
32		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		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		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		Chang-Shing Perng, Haixun Wang, Sheng Ma, Joseph L. Hellerstein: User-directed Exploration of Mining Space with Multiple Attributes. ICDM 2002: 394-401
26		Ricardo Vilalta, Sheng Ma: Predicting Rare Events In Temporal Domains. ICDM 2002: 474-481
25		Haixun Wang, Chang-Shing Perng, Sheng Ma, Philip S. Yu: Mining Associations by Pattern Structure in Large Relational Tables. ICDM 2002: 482-489
24		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		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		Feng Liang, Sheng Ma, Joseph L. Hellerstein: Discovering Fully Dependent Patterns. SDM 2002
20		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		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		Joseph L. Hellerstein, Sheng Ma, Chang-Shing Perng: Discovering actionable patterns in event data. IBM Systems Journal 41(3): 475-493 (2002)
17		Michelle X. Zhou, Sheng Ma, Ying Feng: Applying machine learning to automated information graphics generation. IBM Systems Journal 41(3): 504-523 (2002)
16		Alina Beygelzimer, Chang-Shing Perng, Sheng Ma: Fast ordering of large categorical datasets for visualization. Intell. Data Anal. 6(4): 379-395 (2002)
15		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		Sheng Ma, Joseph L. Hellerstein: Mining Partially Periodic Event Patterns with Unknown Periods. ICDE 2001: 205-214
13		Sheng Ma, Joseph L. Hellerstein: Mining Mutually Dependent Patterns. ICDM 2001: 409-416
12		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		Alina Beygelzimer, Chang-Shing Perng, Sheng Ma: Fast ordering of large categorical datasets for better visualization. KDD 2001: 239-244
10		Sheng Ma, Chuanyi Ji: Modeling heterogeneous network traffic in wavelet domain. IEEE/ACM Trans. Netw. 9(5): 634-649 (2001)
	2000
9		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		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		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		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		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	Kui Dai	[60]
7	Carlotta Domeniconi	[22] [33] [35] [56]
8	Emre Erdogan	[46]
9	Wei Fan	[32]
10	James Farmer	[2]
11	Ying Feng	[17]
12	Genady Grabarnik	[24] [29] [37] [40]
13	Dimitrios Gunopulos	[33] [35] [56]
14	Manish Gupta	[30]
15	Nagui Halim	[9]
16	Joseph L. Hellerstein	[7] [8] [9] [12] [13] [14] [15] [18] [19] [21] [24] [27] [29]
17	Libo Huang	[60]
18	Chuanyi Ji	[1] [2] [3] [4] [5] [6] [10]
19	Qin Jiang	[59]
20	Tao Li	[34] [36] [38] [39] [41] [42] [45] [47] [51] [54] [58]
21	Feng Liang	[21] [47]
22	S. Lin	[48]
23	David Loewenstern	[50]
24	Guy M. Lohman	[52]
25	Mark M. Maccabee	[23]
26	Laurent Mignet	[52]
27	Natwar Modani	[52]
28	José E. Moreira	[30]
29	Natalia Odintsova	[31] [37]
30	Mitsunori Ogihara (Mitsunori Ogiwara)	[34] [38] [41] [45]
31	Adam J. Oliner	[30]
32	Dimitris Papadopoulos	[33] [35] [56]
33	Wei Peng	[42] [47] [51]
34	Chang-Shing Perng	[11] [12] [15] [16] [18] [22] [24] [25] [27] [29] [43] [48] [55] [58]
35	Leonid Rachevsky	[44]
36	Irina Rish	[20] [28] [30] [31] [37] [46] [49]
37	Ramendra K. Sahoo	[30]
38	Abdi Salahshour	[40] [50]
39	Anand Sivasubramaniam	[30]
40	Peter Sohn	[52]
41	Balan Subramanian	[40]
42	David J. Taylor	[9]
43	David Thoenen	[29] [48]
44	Xusheng Tian	[6]
45	Ricardo Vilalta	[19] [22] [26] [30]
46	Fei Wang	[54]
47	Haixun Wang	[12] [15] [25] [27] [32] [43] [55]
48	Zhiying Wang	[60]
49	Sholom M. Weiss	[19]
50	Mark Wilding	[52]
51	Hui Xiong	[53] [57]
52	Bojun Yan	[56]
53	Liuzhong Yang	[54]
54	Philip S. Yu	[25] [32] [43]
55	Michelle X. Zhou	[17]
56	Wenjun Zhou	[57]

Colors in the list of coauthors