Seungchan Kim

61 papers A* 3A 4B 1C 2Misc 4Journal 35Unranked 12
YearRankTypeTitle / Venue / Authors
2025 A* conf
MapEx: Indoor Structure Exploration with Probabilistic Information Gain from Global Map Predictions.
ICRA
Cherie Ho, Seungchan Kim, Brady G. Moon, Aditya Parandekar, Narek Harutyunyan, Chen Wang, Katia P. Sycara, Graeme Best, Sebastian A. Scherer
2025 — conf
MapExRL: Human-Inspired Indoor Exploration with Predicted Environment Context and Reinforcement Learning.
ICAR
Narek Harutyunyan, Brady G. Moon, Seungchan Kim, Cherie Ho, Adam Hung, Sebastian A. Scherer
2025 J jnl
MapExRL: Human-Inspired Indoor Exploration with Predicted Environment Context and Reinforcement Learning.
CoRR
Narek Harutyunyan, Brady G. Moon, Seungchan Kim, Cherie Ho, Adam Hung, Sebastian A. Scherer
2025 A conf
PIPE Planner: Pathwise Information Gain with Map Predictions for Indoor Robot Exploration.
IROS
Seungjae Baek, Brady G. Moon, Seungchan Kim, Muqing Cao, Cherie Ho, Sebastian A. Scherer, Jeong hwan Jeon
2025 J jnl
PIPE Planner: Pathwise Information Gain with Map Predictions for Indoor Robot Exploration.
CoRR
Seungjae Baek, Brady G. Moon, Seungchan Kim, Muqing Cao, Cherie Ho, Sebastian A. Scherer, Jeong hwan Jeon
2025 J jnl
RADSeg: Unleashing Parameter and Compute Efficient Zero-Shot Open-Vocabulary Segmentation Using Agglomerative Models.
CoRR
Omar Alama, Darshil Jariwala, Avigyan Bhattacharya, Seungchan Kim, Wenshan Wang, Sebastian A. Scherer
2025 J jnl
RAVEN: Resilient Aerial Navigation via Open-Set Semantic Memory and Behavior Adaptation.
CoRR
Seungchan Kim, Omar Alama, Dmytro Kurdydyk, John Keller, Nikhil Varma Keetha, Wenshan Wang, Yonatan Bisk, Sebastian A. Scherer
2025 A conf
RayFronts: Open-Set Semantic Ray Frontiers for Online Scene Understanding and Exploration.
IROS
Omar Alama, Avigyan Bhattacharya, Haoyang He, Seungchan Kim, Yuheng Qiu, Wenshan Wang, Cherie Ho, Nikhil Varma Keetha, Sebastian A. Scherer
2025 J jnl
RayFronts: Open-Set Semantic Ray Frontiers for Online Scene Understanding and Exploration.
CoRR
Omar Alama, Avigyan Bhattacharya, Haoyang He, Seungchan Kim, Yuheng Qiu, Wenshan Wang, Cherie Ho, Nikhil Varma Keetha, Sebastian A. Scherer
2024 J jnl
MapEx: Indoor Structure Exploration with Probabilistic Information Gain from Global Map Predictions.
CoRR
Cherie Ho, Seungchan Kim, Brady G. Moon, Aditya Parandekar, Narek Harutyunyan, Chen Wang, Katia P. Sycara, Graeme Best, Sebastian A. Scherer
2024 J jnl
Multi-Robot Multi-Room Exploration With Geometric Cue Extraction and Circular Decomposition.
IEEE Robotics Autom. Lett.
Seungchan Kim, Micah Corah, John Keller, Graeme Best, Sebastian A. Scherer
2023 J jnl
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
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
2023 J jnl
Multi-Robot Multi-Room Exploration with Geometric Cue Extraction and Spherical Decomposition.
CoRR
Seungchan Kim, Micah Corah, John Keller, Graeme Best, Sebastian A. Scherer
2023 J jnl
Toward General-Purpose Robots via Foundation Models: A Survey and Meta-Analysis.
CoRR
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
2022 — conf
A 192-Gb 12-High 896-GB/s HBM3 DRAM with a TSV Auto-Calibration Scheme and Machine-Learning-Based Layout Optimization.
ISSCC
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
2022 — conf
AirDet: Few-Shot Detection Without Fine-Tuning for Autonomous Exploration.
ECCV (39)
Bowen Li, Chen Wang, Pranay Reddy, Seungchan Kim, Sebastian A. Scherer
2022 J jnl
Calibrated Bagging Deep Learning for Image Semantic Segmentation: A Case Study on COVID-19 Chest X-ray Image.
CoRR
Lucy Nwosu, Xiangfang Li, Lijun Qian, Seungchan Kim, Xishuang Dong
2022 A conf
Robotic Interestingness via Human-Informed Few-Shot Object Detection.
IROS
Seungchan Kim, Chen Wang, Bowen Li, Sebastian A. Scherer
2022 J jnl
Robotic Interestingness via Human-Informed Few-Shot Object Detection.
CoRR
Seungchan Kim, Chen Wang, Bowen Li, Sebastian A. Scherer
2022 J jnl
Unsupervised Online Learning for Robotic Interestingness With Visual Memory.
IEEE Trans. Robotics
Chen Wang, Yuheng Qiu, Wenshan Wang, Yafei Hu, Seungchan Kim, Sebastian A. Scherer
2021 J jnl
AirDet: Few-Shot Detection without Fine-tuning for Autonomous Exploration.
CoRR
Bowen Li, Chen Wang, Pranay Reddy, Seungchan Kim, Sebastian A. Scherer
2021 J jnl
Semi-supervised Learning for COVID-19 Image Classification via ResNet.
CoRR
Lucy Nwuso, Xiangfang Li, Lijun Qian, Seungchan Kim, Xishuang Dong
2021 J jnl
Unsupervised Online Learning for Robotic Interestingness with Visual Memory.
CoRR
Chen Wang, Yuheng Qiu, Wenshan Wang, Yafei Hu, Seungchan Kim, Sebastian A. Scherer
2020 — conf
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
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
2019 J jnl
Combating the Compounding-Error Problem with a Multi-step Model.
CoRR
Kavosh Asadi, Dipendra Misra, Seungchan Kim, Michael L. Littman
2019 A* conf
DeepMellow: Removing the Need for a Target Network in Deep Q-Learning.
IJCAI
Seungchan Kim, Kavosh Asadi, Michael L. Littman, George Dimitri Konidaris
2019 — conf
Probing glioblastoma and its microenvironment using single-nucleus and single-cell sequencing.
BIBM
Sen Peng, Seungchan Kim, Harshil Dhruv, Sanhita Rath, Connor Vuong, Saumya Bollam, Jenny Eschbacher, Xishuang Dong, Shwetal Mehta, Nader Sanai, Michael E. Berens
2019 A conf
Removing the Target Network from Deep Q-Networks with the Mellowmax Operator.
AAMAS
Seungchan Kim, Kavosh Asadi, Michael L. Littman, George Dimitri Konidaris
2018 C conf
GPU-Accelerated Differential Dependency Network Analysis.
PDP
Gil Speyer, Juan Rodriguez, Tomas Bencomo, Seungchan Kim
2017 J jnl
Contextualization of drug-mediator relations using evidence networks.
BMC Bioinform.
Hai J. Tran, Gil Speyer, Jeff Kiefer, Seungchan Kim
2017 Misc conf
Differential Pathway Dependency Discovery Associated with Drug Response across Cancer Cell Lines.
PSB
Gil Speyer, Divya Mahendra, Hai J. Tran, Jeff Kiefer, Stuart L. Schreiber, Paul A. Clemons, Harshil Dhruv, Michael E. Berens, Seungchan Kim
2016 Misc conf
Knowledge-Assisted Approach to Identify Pathways with Differential Dependencies.
PSB
Gil Speyer, Jeff Kiefer, Harshil Dhruv, Michael E. Berens, Seungchan Kim
2014 J jnl
Template-based intervention in Boolean network models of biological systems.
EURASIP J. Bioinform. Syst. Biol.
Michael P. Verdicchio, Seungchan Kim
2011 J jnl
Biomarkers associated with metastasis of lung cancer to brain predict patient survival.
Int. J. Data Min. Bioinform.
Sara Nasser, Aarati R. Ranade, Shravan Sridhart, Lisa Haney, Ronald L. Korn, Michael B. Gotway, Glen J. Weiss, Seungchan Kim
2011 J jnl
Context-specific gene regulatory networks subdivide intrinsic subtypes of breast cancer.
BMC Bioinform.
Sara Nasser, Heather E. Cunliffe, Michael A. Black, Seungchan Kim
2011 Misc conf
Identifying Targets for intervention by Analyzing Basins of Attraction.
Pacific Symposium on Biocomputing
Michael P. Verdicchio, Seungchan Kim
2010 Misc conf
Clustering Context-Specific Gene Regulatory Networks.
Pacific Symposium on Biocomputing
Archana Ramesh, Robert P. Trevino, Daniel D. Von Hoff, Seungchan Kim
2010 J jnl
Planning interventions in biological networks.
ACM Trans. Intell. Syst. Technol.
Daniel Bryce, Michael P. Verdicchio, Seungchan Kim
2009 J jnl
Fuzzy c-means clustering with prior biological knowledge.
J. Biomed. Informatics
Luis Tari, Chitta Baral, Seungchan Kim
2009 — conf
Identifying MiRNA and Imaging Features Associated with Metastasis of Lung Cancer to the Brain.
BIBM
Sara Nasser, Aarati R. Ranade, Shravan Sridhart, Lisa Haney, Ronald L. Korn, Michael B. Gotway, Glen J. Weiss, Seungchan Kim
2009 — conf
In-silico conditioning of microRNA to identify potential biomarkers from serum for pancreatic cancer.
GENSiPS
Sara Nasser, Glen J. Weiss, Aarati R. Ranade, Seungchan Kim
2008 — conf
Threshold Logic Gene Regulatory Model - Prediction of Dorsal-ventral Patterning and Hardware-based Simulation of Drosophila.
BIODEVICES (1)
Tejaswi Gowda, Samuel Leshner, Sarma B. K. Vrudhula, Seungchan Kim
2007 J jnl
Comparison of Gene Regulatory Networks via Steady-State Trajectories.
EURASIP J. Bioinform. Syst. Biol.
Marcel Brun, Seungchan Kim, Woonjung Choi, Edward R. Dougherty
2007 A* conf
Planning for Gene Regulatory Network Intervention.
IJCAI
Daniel Bryce, Seungchan Kim
2006 J jnl
Joint learning of logic relationships for studying protein function using phylogenetic profiles and the rosetta stone method.
IEEE Trans. Signal Process.
Xin Zhang, Seungchan Kim, Tie Wang, Chitta Baral
2006 C conf
Quantization of Global Gene Expression Data.
ICMLA
Tae-Hoon Chung, Marcel Brun, Seungchan Kim
2006 J jnl
Stochastic Transcriptional Regulatory Systems with Time Delays: A Mean-Field Approximation.
J. Comput. Biol.
John Goutsias, Seungchan Kim
2005 B conf
An Algorithm to Learn Causal Relations Between Genes from Steady State Data: Simulation and Its Application to Melanoma Dataset.
AIME
Xin Zhang, Chitta Baral, Seungchan Kim
2005 — conf
BioLog: A Browser Based Collaboration and Resource Navigation Assistant for BioMedical Researchers.
DILS
Prabhdeep Singh, R. Bhimavarapu, Hasan Davulcu, Chitta Baral, Seungchan Kim, Huan Liu, Michael L. Bittner, I. V. Ramakrishnan
2005 J jnl
Feature selection algorithms to find strong genes.
Pattern Recognit. Lett.
Paulo J. S. Silva, Ronaldo Fumio Hashimoto, Seungchan Kim, Junior Barrera, Leônidas de Oliveira Brandão, Edward Suh, Edward R. Dougherty
2004 J jnl
Growing genetic regulatory networks from seed genes.
Bioinform.
Ronaldo Fumio Hashimoto, Seungchan Kim, Ilya Shmulevich, Wei Zhang, Michael L. Bittner, Edward R. Dougherty
2003 J jnl
Corrected Small-sample Estimation of the Bayes Error.
Bioinform.
Marcel Brun, David Sabbagh, Seungchan Kim, Edward R. Dougherty
2002 — conf
Granulometric classifiers from small samples.
Image Processing: Algorithms and Systems
Yoganand Balagurunathan, Ronaldo Fumio Hashimoto, Seungchan Kim, Junior Barrera, Edward R. Dougherty
2002 J jnl
Inference from Clustering with Application to Gene-Expression Microarrays.
J. Comput. Biol.
Edward R. Dougherty, Junior Barrera, Marcel Brun, Seungchan Kim, Roberto Marcondes Cesar Junior, Yidong Chen, Michael L. Bittner, Jeffrey M. Trent
2002 J jnl
Probabilistic Boolean networks: a rule-based uncertainty model for gene regulatory networks.
Bioinform.
Ilya Shmulevich, Edward R. Dougherty, Seungchan Kim, Wei Zhang
2002 J jnl
Strong Feature Sets from Small Samples.
J. Comput. Biol.
Seungchan Kim, Edward R. Dougherty, Junior Barrera, Yidong Chen, Michael L. Bittner, Jeffrey M. Trent
2001 J jnl
Multiresolution Analysis for Optimal Binary Filters.
J. Math. Imaging Vis.
Edward R. Dougherty, Junior Barrera, Gerard Mozelle, Seungchan Kim, Marcel Brun
2000 J jnl
Coefficient of determination in nonlinear signal processing.
Signal Process.
Edward R. Dougherty, Seungchan Kim, Yidong Chen
2000 — conf
Multiresolution filter design.
Electronic Imaging: Nonlinear Image Processing
Edward R. Dougherty, Junior Barrera, Gerard Mozelle, Seungchan Kim, Marcel Brun
1999 — conf
Nonlinear filters in genomic control.
NSIP
Edward R. Dougherty, Michael L. Bittner, Yidong Chen, Seungchan Kim, Krishnamoorthy Sivakumar, Junior Barrera, Paul S. Meltzer, Jeffrey M. Trent
1999 J jnl
Unsupervised morphological granulometric texture segmentation of digital mammograms.
J. Electronic Imaging
Sooncheol Baeg, Sinan Batman, Edward R. Dougherty, Vishnu G. Kamat, Nasser Kehtarnavaz, Seungchan Kim, Anthony T. Popov, Krishnamoorthy Sivakumar, Robert B. Shah