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2020 – today
- 2024
[j21]Seungchan Kim
, Micah Corah, John Keller, Graeme Best, Sebastian A. Scherer:
Multi-Robot Multi-Room Exploration With Geometric Cue Extraction and Circular Decomposition. IEEE Robotics Autom. Lett. 9(2): 1190-1197 (2024)- [i9]Cherie Ho, Seungchan Kim, Brady G. Moon, Aditya Parandekar, Narek Harutyunyan, Chen Wang, Katia P. Sycara, Graeme Best, Sebastian A. Scherer:
MapEx: Indoor Structure Exploration with Probabilistic Information Gain from Global Map Predictions. CoRR abs/2409.15590 (2024) - 2023
- [j20]Myeong-Jae Park, Jinhyung Lee, Kyungjun Cho, Ji Hwan Park, Junil Moon, Sung-Hak Lee, Tae-Kyun Kim, Sanghoon Oh, Seokwoo Choi, Yongsuk Choi, Ho Sung Cho, Tae-Sik Yun, Young Jun Koo, Jae-Seung Lee, Byung Kuk Yoon, Young Jun Park, Sangmuk Oh, Chang Kwon Lee, Seong-Hee Lee, Hyun-Woo Kim, Yucheon Ju, Seung-Kyun Lim, Kyo Yun Lee, Sang-Hoon Lee, Woo Sung We, Seungchan Kim, Seung Min Yang, Keonho Lee, In-Keun Kim, Younghyun Jeon, Jae-Hyung Park, Jong Chan Yun, Seonyeol Kim, Dong-Yeol Lee, Su-Hyun Oh, Junghyun Shin, Yeonho Lee, Jieun Jang, Joohwan Cho:
A 192-Gb 12-High 896-GB/s HBM3 DRAM With a TSV Auto-Calibration Scheme and Machine-Learning-Based Layout Optimization. IEEE J. Solid State Circuits 58(1): 256-269 (2023) - [i8]Seungchan Kim, Micah Corah, John Keller, Graeme Best, Sebastian A. Scherer:
Multi-Robot Multi-Room Exploration with Geometric Cue Extraction and Spherical Decomposition. CoRR abs/2307.15202 (2023) - [i7]Yafei Hu, Quanting Xie, Vidhi Jain, Jonathan Francis, Jay Patrikar, Nikhil Varma Keetha, Seungchan Kim, Yaqi Xie, Tianyi Zhang, Shibo Zhao, Yu Quan Chong, Chen Wang, Katia P. Sycara, Matthew Johnson-Roberson, Dhruv Batra, Xiaolong Wang, Sebastian A. Scherer, Zsolt Kira, Fei Xia, Yonatan Bisk:
Toward General-Purpose Robots via Foundation Models: A Survey and Meta-Analysis. CoRR abs/2312.08782 (2023) - 2022
- [j19]Chen Wang, Yuheng Qiu, Wenshan Wang, Yafei Hu, Seungchan Kim, Sebastian A. Scherer:
Unsupervised Online Learning for Robotic Interestingness With Visual Memory. IEEE Trans. Robotics 38(4): 2446-2461 (2022) - [c22]Bowen Li, Chen Wang, Pranay Reddy, Seungchan Kim, Sebastian A. Scherer:
AirDet: Few-Shot Detection Without Fine-Tuning for Autonomous Exploration. ECCV (39) 2022: 427-444 - [c21]Seungchan Kim, Chen Wang, Bowen Li, Sebastian A. Scherer:
Robotic Interestingness via Human-Informed Few-Shot Object Detection. IROS 2022: 1756-1763 - [c20]Myeong-Jae Park, Ho Sung Cho, Tae-Sik Yun, Sangjin Byeon, Young Jun Koo, Sang-Sic Yoon, Dong-Uk Lee, Seokwoo Choi, Ji Hwan Park, Jinhyung Lee, Kyungjun Cho, Junil Moon, Byung Kuk Yoon, Young Jun Park, Sangmuk Oh, Chang Kwon Lee, Tae-Kyun Kim, Seong-Hee Lee, Hyun-Woo Kim, Yucheon Ju, Seung-Kyun Lim, Seung Geun Baek, Kyo Yun Lee, Sang Hun Lee, Woo Sung We, Seungchan Kim, Yongseok Choi, Seong-Hak Lee, Seung Min Yang, Gunho Lee, In-Keun Kim, Younghyun Jeon, Jae-Hyung Park, Jong Chan Yun, Chanhee Park, Sun-Yeol Kim, Sungjin Kim, Dong-Yeol Lee, Su-Hyun Oh, Taejin Hwang, Junghyun Shin, Yunho Lee, Hyunsik Kim, Jaeseung Lee, Youngdo Hur, Sangkwon Lee, Jieun Jang, Junhyun Chun, Joohwan Cho:
A 192-Gb 12-High 896-GB/s HBM3 DRAM with a TSV Auto-Calibration Scheme and Machine-Learning-Based Layout Optimization. ISSCC 2022: 444-446 - [i6]Lucy Nwosu, Xiangfang Li, Lijun Qian, Seungchan Kim, Xishuang Dong:
Calibrated Bagging Deep Learning for Image Semantic Segmentation: A Case Study on COVID-19 Chest X-ray Image. CoRR abs/2206.00002 (2022) - [i5]Seungchan Kim, Chen Wang, Bowen Li, Sebastian A. Scherer:
Robotic Interestingness via Human-Informed Few-Shot Object Detection. CoRR abs/2208.01084 (2022) - 2021
- [i4]Lucy Nwuso, Xiangfang Li, Lijun Qian, Seungchan Kim, Xishuang Dong:
Semi-supervised Learning for COVID-19 Image Classification via ResNet. CoRR abs/2103.06140 (2021) - [i3]Chen Wang, Yuheng Qiu, Wenshan Wang, Yafei Hu, Seungchan Kim, Sebastian A. Scherer:
Unsupervised Online Learning for Robotic Interestingness with Visual Memory. CoRR abs/2111.09793 (2021) - [i2]Bowen Li, Chen Wang, Pranay Reddy, Seungchan Kim, Sebastian A. Scherer:
AirDet: Few-Shot Detection without Fine-tuning for Autonomous Exploration. CoRR abs/2112.01740 (2021) - 2020
- [c19]Dong-Uk Lee, Ho Sung Cho, Jihwan Kim, Young Jun Ku, Sangmuk Oh, Chul Dae Kim, Hyun Woo Kim, Wooyoung Lee, Tae-Kyun Kim, Tae Sik Yun, Min Jeong Kim, SeungGyeon Lim, Seong Hee Lee, Byung Kuk Yun, Jun Il Moon, Ji Hwan Park, Seokwoo Choi, Young Jun Park, Chang Kwon Lee, Chunseok Jeong, Jae-Seung Lee, Sang Hun Lee, Woo Sung We, Jong Chan Yun, Doobock Lee, Junghyun Shin, Seungchan Kim, Junghwan Lee, Jiho Choi, Yucheon Ju, Myeong-Jae Park, Kang Seol Lee, Youngdo Hur, Daeyong Shim, Sangkwon Lee, Junhyun Chun, Kyowon Jin:
22.3 A 128Gb 8-High 512GB/s HBM2E DRAM with a Pseudo Quarter Bank Structure, Power Dispersion and an Instruction-Based At-Speed PMBIST. ISSCC 2020: 334-336
2010 – 2019
- 2019
- [c18]Seungchan Kim, Kavosh Asadi, Michael L. Littman, George Dimitri Konidaris:
Removing the Target Network from Deep Q-Networks with the Mellowmax Operator. AAMAS 2019: 2060-2062 - [c17]Sen Peng, Seungchan Kim, Harshil Dhruv, Sanhita Rath, Connor Vuong, Saumya Bollam, Jenny Eschbacher, Xishuang Dong, Shwetal Mehta, Nader Sanai, Michael E. Berens:
Probing glioblastoma and its microenvironment using single-nucleus and single-cell sequencing. BIBM 2019: 2757-2762 - [c16]Seungchan Kim, Kavosh Asadi, Michael L. Littman, George Dimitri Konidaris:
DeepMellow: Removing the Need for a Target Network in Deep Q-Learning. IJCAI 2019: 2733-2739 - [i1]Kavosh Asadi, Dipendra Misra, Seungchan Kim, Michael L. Littman:
Combating the Compounding-Error Problem with a Multi-step Model. CoRR abs/1905.13320 (2019) - 2018
- [c15]Gil Speyer, Juan Rodriguez, Tomas Bencomo, Seungchan Kim:
GPU-Accelerated Differential Dependency Network Analysis. PDP 2018: 410-414 - 2017
- [j18]Hai J. Tran, Gil Speyer, Jeff Kiefer, Seungchan Kim:
Contextualization of drug-mediator relations using evidence networks. BMC Bioinform. 18(7): 69-78 (2017) - [c14]Gil Speyer, Divya Mahendra, Hai J. Tran, Jeff Kiefer, Stuart L. Schreiber, Paul A. Clemons, Harshil Dhruv, Michael E. Berens, Seungchan Kim:
Differential Pathway Dependency Discovery Associated with Drug Response across Cancer Cell Lines. PSB 2017: 497-508 - 2016
- [c13]Gil Speyer, Jeff Kiefer, Harshil Dhruv, Michael E. Berens, Seungchan Kim:
Knowledge-Assisted Approach to Identify Pathways with Differential Dependencies. PSB 2016: 33-44 - 2014
- [j17]Michael P. Verdicchio, Seungchan Kim:
Template-based intervention in Boolean network models of biological systems. EURASIP J. Bioinform. Syst. Biol. 2014: 11 (2014) - 2011
- [j16]Sara Nasser, Heather E. Cunliffe, Michael A. Black, Seungchan Kim:
Context-specific gene regulatory networks subdivide intrinsic subtypes of breast cancer. BMC Bioinform. 12(S-2): S3 (2011) - [j15]Sara Nasser, Aarati R. Ranade, Shravan Sridhart, Lisa Haney, Ronald L. Korn, Michael B. Gotway, Glen J. Weiss, Seungchan Kim:
Biomarkers associated with metastasis of lung cancer to brain predict patient survival. Int. J. Data Min. Bioinform. 5(3): 287-307 (2011) - [c12]Michael P. Verdicchio, Seungchan Kim:
Identifying Targets for intervention by Analyzing Basins of Attraction. Pacific Symposium on Biocomputing 2011: 350-361 - 2010
- [j14]Daniel Bryce, Michael P. Verdicchio, Seungchan Kim:
Planning interventions in biological networks. ACM Trans. Intell. Syst. Technol. 1(2): 11:1-11:26 (2010) - [c11]Archana Ramesh, Robert P. Trevino, Daniel D. Von Hoff, Seungchan Kim:
Clustering Context-Specific Gene Regulatory Networks. Pacific Symposium on Biocomputing 2010: 444-455
2000 – 2009
- 2009
- [j13]Luis Tari, Chitta Baral, Seungchan Kim:
Fuzzy c-means clustering with prior biological knowledge. J. Biomed. Informatics 42(1): 74-81 (2009) - [c10]Sara Nasser, Aarati R. Ranade, Shravan Sridhart, Lisa Haney, Ronald L. Korn, Michael B. Gotway, Glen J. Weiss, Seungchan Kim:
Identifying MiRNA and Imaging Features Associated with Metastasis of Lung Cancer to the Brain. BIBM 2009: 246-251 - [c9]Sara Nasser, Glen J. Weiss, Aarati R. Ranade, Seungchan Kim:
In-silico conditioning of microRNA to identify potential biomarkers from serum for pancreatic cancer. GENSiPS 2009: 1-4 - 2008
- [c8]Tejaswi Gowda, Samuel Leshner, Sarma B. K. Vrudhula, Seungchan Kim:
Threshold Logic Gene Regulatory Model - Prediction of Dorsal-ventral Patterning and Hardware-based Simulation of Drosophila. BIODEVICES (1) 2008: 212-219 - 2007
- [j12]Marcel Brun, Seungchan Kim, Woonjung Choi, Edward R. Dougherty:
Comparison of Gene Regulatory Networks via Steady-State Trajectories. EURASIP J. Bioinform. Syst. Biol. 2007 (2007) - [c7]Daniel Bryce, Seungchan Kim:
Planning for Gene Regulatory Network Intervention. IJCAI 2007: 1834-1839 - 2006
- [j11]John Goutsias, Seungchan Kim:
Stochastic Transcriptional Regulatory Systems with Time Delays: A Mean-Field Approximation. J. Comput. Biol. 13(5): 1049-1076 (2006) - [j10]Xin Zhang, Seungchan Kim, Tie Wang, Chitta Baral:
Joint learning of logic relationships for studying protein function using phylogenetic profiles and the rosetta stone method. IEEE Trans. Signal Process. 54(6-2): 2427-2435 (2006) - [c6]Tae-Hoon Chung, Marcel Brun, Seungchan Kim:
Quantization of Global Gene Expression Data. ICMLA 2006: 187-192 - 2005
- [j9]Paulo J. S. Silva, Ronaldo Fumio Hashimoto, Seungchan Kim, Junior Barrera, Leônidas de Oliveira Brandão, Edward Suh, Edward R. Dougherty:
Feature selection algorithms to find strong genes. Pattern Recognit. Lett. 26(10): 1444-1453 (2005) - [c5]Xin Zhang, Chitta Baral, Seungchan Kim:
An Algorithm to Learn Causal Relations Between Genes from Steady State Data: Simulation and Its Application to Melanoma Dataset. AIME 2005: 524-534 - [c4]Prabhdeep Singh, R. Bhimavarapu, Hasan Davulcu, Chitta Baral, Seungchan Kim, Huan Liu, Michael L. Bittner, I. V. Ramakrishnan:
BioLog: A Browser Based Collaboration and Resource Navigation Assistant for BioMedical Researchers. DILS 2005: 19-30 - 2004
- [j8]Ronaldo Fumio Hashimoto, Seungchan Kim, Ilya Shmulevich, Wei Zhang, Michael L. Bittner, Edward R. Dougherty:
Growing genetic regulatory networks from seed genes. Bioinform. 20(8): 1241-1247 (2004) - 2003
- [j7]Marcel Brun, David Sabbagh, Seungchan Kim, Edward R. Dougherty:
Corrected Small-sample Estimation of the Bayes Error. Bioinform. 19(8): 944-951 (2003) - 2002
- [j6]Ilya Shmulevich, Edward R. Dougherty, Seungchan Kim, Wei Zhang:
Probabilistic Boolean networks: a rule-based uncertainty model for gene regulatory networks. Bioinform. 18(2): 261-274 (2002) - [j5]Edward R. Dougherty, Junior Barrera, Marcel Brun, Seungchan Kim, Roberto Marcondes Cesar Junior, Yidong Chen, Michael L. Bittner, Jeffrey M. Trent:
Inference from Clustering with Application to Gene-Expression Microarrays. J. Comput. Biol. 9(1): 105-126 (2002) - [j4]Seungchan Kim, Edward R. Dougherty, Junior Barrera, Yidong Chen, Michael L. Bittner, Jeffrey M. Trent:
Strong Feature Sets from Small Samples. J. Comput. Biol. 9(1): 127-146 (2002) - [c3]Yoganand Balagurunathan, Ronaldo Fumio Hashimoto, Seungchan Kim, Junior Barrera, Edward R. Dougherty:
Granulometric classifiers from small samples. Image Processing: Algorithms and Systems 2002: 100-107 - 2001
- [j3]Edward R. Dougherty, Junior Barrera, Gerard Mozelle, Seungchan Kim, Marcel Brun:
Multiresolution Analysis for Optimal Binary Filters. J. Math. Imaging Vis. 14(1): 53-72 (2001) - 2000
- [j2]Edward R. Dougherty, Seungchan Kim, Yidong Chen:
Coefficient of determination in nonlinear signal processing. Signal Process. 80(10): 2219-2235 (2000) - [c2]Edward R. Dougherty, Junior Barrera, Gerard Mozelle, Seungchan Kim, Marcel Brun:
Multiresolution filter design. Electronic Imaging: Nonlinear Image Processing 2000
1990 – 1999
- 1999
- [j1]Sooncheol Baeg, Sinan Batman, Edward R. Dougherty, Vishnu G. Kamat, Nasser Kehtarnavaz, Seungchan Kim, Anthony T. Popov, Krishnamoorthy Sivakumar, Robert B. Shah:
Unsupervised morphological granulometric texture segmentation of digital mammograms. J. Electronic Imaging 8(1): 65-75 (1999) - [c1]Edward R. Dougherty, Michael L. Bittner, Yidong Chen, Seungchan Kim, Krishnamoorthy Sivakumar, Junior Barrera, Paul S. Meltzer, Jeffrey M. Trent:
Nonlinear filters in genomic control. NSIP 1999: 10-14
Coauthor Index
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