David Hsu

2008
38	EE	David Hsu, Wee Sun Lee, Nan Rong: A point-based POMDP planner for target tracking. ICRA 2008: 2644-2650
37	EE	Tirthankar Bandyopadhyay, David Hsu, Marcelo H. Ang: Motion Strategies for People Tracking in Cluttered and Dynamic Environments. ISER 2008: 463-472
36	EE	Anshul Nigham, David Hsu: Protein Conformational Flexibility Analysis with Noisy Data. Journal of Computational Biology 15(7): 813-828 (2008)
2007
35	EE	David Hsu, Wee Sun Lee, Nan Rong: What makes some POMDP problems easy to approximate? NIPS 2007
34	EE	Anshul Nigham, David Hsu: Protein Conformational Flexibility Analysis with Noisy Data. RECOMB 2007: 396-411
33	EE	Geoffrey Koh, Lisa Tucker-Kellogg, David Hsu, P. S. Thiagarajan: Composing Globally Consistent Pathway Parameter Estimates Through Belief Propagation. WABI 2007: 420-430
32	EE	Tsung-Han Chiang, Mehmet Serkan Apaydin, Douglas L. Brutlag, David Hsu, Jean-Claude Latombe: Using Stochastic Roadmap Simulation to Predict Experimental Quantities in Protein Folding Kinetics: Folding Rates and Phi-Values. Journal of Computational Biology 14(5): 578-593 (2007)
2006
31		David Hsu, Gildardo Sánchez-Ante, Ho-Lun Cheng, Jean-Claude Latombe: Multi-level Free-space Dilation for Sampling narrow Passages in PRM Planning. ICRA 2006: 1255-1260
30		Tirthankar Bandyopadhyay, Yuanping Li, Marcelo H. Ang Jr., David Hsu: A Greedy Strategy for Tracking a Locally Predictable Target among Obstacles. ICRA 2006: 2342-2347
29	EE	Geoffrey Koh, Huey Fern Carol Teong, Marie-Véronique Clément, David Hsu, P. S. Thiagarajan: A decompositional approach to parameter estimation in pathway modeling: a case study of the Akt and MAPK pathways and their crosstalk. ISMB (Supplement of Bioinformatics) 2006: 271-280
28	EE	Tsung-Han Chiang, Mehmet Serkan Apaydin, Douglas L. Brutlag, David Hsu, Jean-Claude Latombe: Predicting Experimental Quantities in Protein Folding Kinetics Using Stochastic Roadmap Simulation. RECOMB 2006: 410-424
27	EE	Hanna Kurniawati, David Hsu: Workspace-Based Connectivity Oracle: An Adaptive Sampling Strategy for PRM Planning. WAFR 2006: 35-51
26	EE	David Hsu, Jean-Claude Latombe, Hanna Kurniawati: On the Probabilistic Foundations of Probabilistic Roadmap Planning. I. J. Robotic Res. 25(7): 627-643 (2006)
25	EE	David Hsu, John M. Beggs: Neuronal avalanches and criticality: A dynamical model for homeostasis. Neurocomputing 69(10-12): 1134-1136 (2006)
2005
24	EE	Jun Yin, Ye Wang, David Hsu: Digital violin tutor: an integrated system for beginning violin learners. ACM Multimedia 2005: 976-985
23		David Hsu, Gildardo Sánchez-Ante, Zheng Sun: Hybrid PRM Sampling with a Cost-Sensitive Adaptive Strategy. ICRA 2005: 3874-3880
22	EE	David Hsu, Jean-Claude Latombe, Hanna Kurniawati: On the Probabilistic Foundations of Probabilistic Roadmap Planning. ISRR 2005: 83-97
21		Michael Erdmann, David Hsu, Mark H. Overmars, A. Frank van der Stappen: Editorial: Special Issue on WAFR 2004. I. J. Robotic Res. 24(11): 881-882 (2005)
20	EE	Murielle Hsu, David Hsu: A piece-wise harmonic Langevin model of EEG dynamics: Theory and application to EEG seizure detection. Neurocomputing 65-66: 469-474 (2005)
2004
19	EE	Jun Yin, Ankur Dhanik, David Hsu, Ye Wang: The creation of a music-driven digital violinist. ACM Multimedia 2004: 476-479
18	EE	Chenyi Xia, David Hsu, Anthony K. H. Tung: A Fast Filter for Obstructed Nearest Neighbor Queries. BNCOD 2004: 203-215
17	EE	David Hsu, Zheng Sun: Adaptively combining multiple sampling strategies for probabilistic roadmap planning. RAM 2004: 774-779
2003
16		David Hsu, Tingting Jiang, John H. Reif, Zheng Sun: The bridge test for sampling narrow passages with probabilistic roadmap planners. ICRA 2003: 4420-4426
15	EE	Mehmet Serkan Apaydin, Douglas L. Brutlag, Carlos Guestrin, David Hsu, Jean-Claude Latombe, Chris Varma: Stochastic Roadmap Simulation: An Efficient Representation and Algorithm for Analyzing Molecular Motion. Journal of Computational Biology 10(3/4): 257-281 (2003)
2002
14		Douglas L. Brutlag, Mehmet Serkan Apaydin, Carlos Guestrin, David Hsu, Chris Varma, Amit Pal Singh, Jean-Claude Latombe: Using robotics to fold proteins and dock ligands. ECCB 2002: 74-74
13	EE	David Hsu, Seth Bridges, Miguel Figueroa, Chris Diorio: Adaptive Quantization and Density Estimation in Silicon. NIPS 2002: 1083-1090
12	EE	Seth Bridges, Miguel Figueroa, David Hsu, Chris Diorio: Field-Programmable Learning Arrays. NIPS 2002: 1155-1162
11	EE	Mehmet Serkan Apaydin, Douglas L. Brutlag, Carlos Guestrin, David Hsu, Jean-Claude Latombe: Stochastic roadmap simulation: an efficient representation and algorithm for analyzing molecular motion. RECOMB 2002: 12-21
10		David Hsu, Robert Kindel, Jean-Claude Latombe, Stephen M. Rock: Randomized Kinodynamic Motion Planning with Moving Obstacles. I. J. Robotic Res. 21(3): 233-256 (2002)
2001
9		Rahul Sukthankar, Tat-Jen Cham, Gita Sukthankar, James M. Rehg, David Hsu, Thomas Leung: Self-Calibrating Camera Projector Systems for Interactive Displays and Presentations. ICCV 2001: 748
8		Julien Basch, Leonidas J. Guibas, David Hsu, An Thai Nguyen: Disconnection Proofs for Motion Planning. ICRA 2001: 1765-1772
7	EE	Aaron P. Shon, David Hsu, Chris Diorio: Learning Spike-Based Correlations and Conditional Probabilities in Silicon. NIPS 2001: 1123-1130
2000
6		Robert Kindel, David Hsu, Jean-Claude Latombe, Stephen M. Rock: Kinodynamic Motion Planning Amidst Moving Obstacles. ICRA 2000: 537-543
5		David Hsu, Miguel Figueroa, Chris Diorio: A Silicon Primitive for Competitive Learning. NIPS 2000: 713-719
4		Leonidas J. Guibas, David Hsu, Li Zhang: A hierarchical method for real-time distance computation among moving convex bodies. Comput. Geom. 15(1-3): 51-68 (2000)
1999
3	EE	Leonidas J. Guibas, David Hsu, Li Zhang: H-Walk: Hierarchical Distance Computation for Moving Convex Bodies. Symposium on Computational Geometry 1999: 265-273
2		David Hsu, Jean-Claude Latombe, Rajeev Motwani: Path Planning in Expansive Configuration Spaces. Int. J. Comput. Geometry Appl. 9(4/5): 495- (1999)
1998
1		David Hsu, Lydia E. Kavraki, Jean-Claude Latombe, Rajeev Motwani: Capturing the Connectivity of High-Dimensional Geometric Spaces by Parallelizable Random Sampling Techniques. IPPS/SPDP Workshops 1998: 330-340

Coauthor Index

1	Marcelo H. Ang Jr. (Marcelo H. Ang)	[30] [37]
2	Mehmet Serkan Apaydin	[11] [14] [15] [28] [32]
3	Tirthankar Bandyopadhyay	[30] [37]
4	Julien Basch	[8]
5	John M. Beggs	[25]
6	Seth Bridges	[12] [13]
7	Douglas L. Brutlag	[11] [14] [15] [28] [32]
8	Tat-Jen Cham	[9]
9	Ho-Lun Cheng	[31]
10	Tsung-Han Chiang	[28] [32]
11	Marie-Véronique Clément	[29]
12	Ankur Dhanik	[19]
13	Chris Diorio	[5] [7] [12] [13]
14	Michael Erdmann	[21]
15	Miguel Figueroa	[5] [12] [13]
16	Carlos Guestrin	[11] [14] [15]
17	Leonidas J. Guibas	[3] [4] [8]
18	Murielle Hsu	[20]
19	Tingting Jiang	[16]
20	Lydia E. Kavraki	[1]
21	Robert Kindel	[6] [10]
22	Geoffrey Koh	[29] [33]
23	Hanna Kurniawati	[22] [26] [27]
24	Jean-Claude Latombe	[1] [2] [6] [10] [11] [14] [15] [22] [26] [28] [31] [32]
25	Wee Sun Lee	[35] [38]
26	Thomas Leung	[9]
27	Yuanping Li	[30]
28	Rajeev Motwani	[1] [2]
29	An Thai Nguyen (An Nguyen)	[8]
30	Anshul Nigham	[34] [36]
31	Mark H. Overmars	[21]
32	James M. Rehg	[9]
33	John H. Reif	[16]
34	Stephen M. Rock	[6] [10]
35	Nan Rong	[35] [38]
36	Gildardo Sánchez-Ante	[23] [31]
37	Aaron P. Shon	[7]
38	Amit Pal Singh	[14]
39	A. Frank van der Stappen	[21]
40	Gita Sukthankar	[9]
41	Rahul Sukthankar	[9]
42	Zheng Sun	[16] [17] [23]
43	Huey Fern Carol Teong	[29]
44	P. S. Thiagarajan	[29] [33]
45	Lisa Tucker-Kellogg	[33]
46	Anthony K. H. Tung	[18]
47	Chris Varma	[14] [15]
48	Ye Wang	[19] [24]
49	Chenyi Xia	[18]
50	Jun Yin	[19] [24]
51	Li Zhang	[3] [4]

Colors in the list of coauthors