Sunghun Kim

ORCID

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 45

Top Venues

CoRR

IEEE Trans. Software Eng.

ESEC/SIGSOFT FSE

ASE

Publications

Peiyan Zhang, Haoyang Liu, Chaozhuo Li, Xing Xie, Sunghun Kim, Haohan Wang
Foundation Model-oriented Robustness: Robust Image Model Evaluation with Pretrained Models. ICLR (2024)
Peiyan Zhang, Yuchen Yan, Xi Zhang, Chaozhuo Li, Senzhang Wang, Feiran Huang, Sunghun Kim
TransGNN: Harnessing the Collaborative Power of Transformers and Graph Neural Networks for Recommender Systems. SIGIR (2024)
Peilin Zhou, You-Liang Huang, Yueqi Xie, Jingqi Gao, Shoujin Wang, Jae Boum Kim, Sunghun Kim
Is Contrastive Learning Necessary? A Study of Data Augmentation vs Contrastive Learning in Sequential Recommendation. WWW (2024)
Peiyan Zhang, Chaozhuo Li, Liying Kang, Feiran Huang, Senzhang Wang, Xing Xie, Sunghun Kim
High-Frequency-aware Hierarchical Contrastive Selective Coding for Representation Learning on Text Attributed Graphs. WWW (2024)
Weilin Cai, Juyong Jiang, Le Qin, Junwei Cui, Sunghun Kim, Jiayi Huang
Shortcut-connected Expert Parallelism for Accelerating Mixture-of-Experts. CoRR (2024)
Peiyan Zhang, Chaozhuo Li, Liying Kang, Feiran Huang, Senzhang Wang, Xing Xie, Sunghun Kim
High-Frequency-aware Hierarchical Contrastive Selective Coding for Representation Learning on Text-attributed Graphs. CoRR (2024)
Peiyan Zhang, Yuchen Yan, Xi Zhang, Liying Kang, Chaozhuo Li, Feiran Huang, Senzhang Wang, Sunghun Kim
GPT4Rec: Graph Prompt Tuning for Streaming Recommendation. CoRR (2024)
Peilin Zhou, You-Liang Huang, Yueqi Xie, Jingqi Gao, Shoujin Wang, Jae Boum Kim, Sunghun Kim
Is Contrastive Learning Necessary? A Study of Data Augmentation vs Contrastive Learning in Sequential Recommendation. CoRR (2024)
Juyong Jiang, Fan Wang, Jiasi Shen, Sungju Kim, Sunghun Kim
A Survey on Large Language Models for Code Generation. CoRR (2024)
Weilin Cai, Juyong Jiang, Fan Wang, Jing Tang, Sunghun Kim, Jiayi Huang
A Survey on Mixture of Experts. CoRR (2024)
Peiyan Zhang, Yuchen Yan, Xi Zhang, Liying Kang, Chaozhuo Li, Feiran Huang, Senzhang Wang, Sunghun Kim
GPT4Rec: Graph Prompt Tuning for Streaming Recommendation. SIGIR (2024)
Peilin Zhou, Jingqi Gao, Yueqi Xie, Qichen Ye, Yining Hua, Jaeboum Kim, Shoujin Wang, Sunghun Kim
Equivariant Contrastive Learning for Sequential Recommendation. RecSys (2023)
Juyong Jiang, Peiyan Zhang, Yingtao Luo, Chaozhuo Li, Jae Boum Kim, Kai Zhang, Senzhang Wang, Xing Xie, Sunghun Kim
AdaMCT: Adaptive Mixture of CNN-Transformer for Sequential Recommendation. CIKM (2023)
Peiyan Zhang, Yuchen Yan, Chaozhuo Li, Senzhang Wang, Xing Xie, Sunghun Kim
Can Transformer and GNN Help Each Other? CoRR (2023)
Peiyan Zhang, Yuchen Yan, Chaozhuo Li, Senzhang Wang, Xing Xie, Guojie Song, Sunghun Kim
Continual Learning on Dynamic Graphs via Parameter Isolation. SIGIR (2023)
Peiyan Zhang, Haoyang Liu, Chaozhuo Li, Xing Xie, Sunghun Kim, Haohan Wang
Foundation Model-oriented Robustness: Robust Image Model Evaluation with Pretrained Models. CoRR (2023)
Renjie Pi, Weizhong Zhang, Yueqi Xie, Jiahui Gao, Xiaoyu Wang, Sunghun Kim, Qifeng Chen
DYNAFED: Tackling Client Data Heterogeneity with Global Dynamics. CVPR (2023)
Peilin Zhou, Qichen Ye, Yueqi Xie, Jingqi Gao, Shoujin Wang, Jae Boum Kim, Chenyu You, Sunghun Kim
Attention Calibration for Transformer-based Sequential Recommendation. CoRR (2023)
Xiaodong Gu, Yo-Sub Han, Sunghun Kim, Hongyu Zhang
Do Bugs Propagate? An Empirical Analysis of Temporal Correlations Among Software Bugs. ECOOP (2021)
Jung-Woo Ha, Kihyun Nam, Jin-Gu Kang, Sang-Woo Lee, Sohee Yang, Hyunhoon Jung, Eunmi Kim, Hyeji Kim, Soojin Kim, Hyun Ah Kim, Kyoungtae Doh, Chan Kyu Lee, Sunghun Kim
ClovaCall: Korean Goal-Oriented Dialog Speech Corpus for Automatic Speech Recognition of Contact Centers. CoRR (2020)
Jung-Woo Ha, Kihyun Nam, Jingu Kang, Sang-Woo Lee, Sohee Yang, Hyunhoon Jung, Hyeji Kim, Eunmi Kim, Soojin Kim, Hyun Ah Kim, Kyoungtae Doh, Chan Kyu Lee, Nako Sung, Sunghun Kim
ClovaCall: Korean Goal-Oriented Dialog Speech Corpus for Automatic Speech Recognition of Contact Centers. INTERSPEECH (2020)
Xiaodong Gu, Hongyu Zhang, Sunghun Kim
CodeKernel: A Graph Kernel Based Approach to the Selection of API Usage Examples. ASE (2019)
Fuxiang Chen, Aldy Gunawan, David Lo, Sunghun Kim
InSPeCT: Iterated Local Search for Solving Path Conditions. CASE (2019)
Fuxiang Chen, Seung-won Hwang, Jaegul Choo, Jung-Woo Ha, Sunghun Kim
NL2pSQL: Generating Pseudo-SQL Queries from Under-Specified Natural Language Questions. EMNLP/IJCNLP (1) (2019)
Xiaodong Gu, Kyunghyun Cho, Jung-Woo Ha, Sunghun Kim
DialogWAE: Multimodal Response Generation with Conditional Wasserstein Auto-Encoder. ICLR (Poster) (2019)
Sunghyun Park, Seung-won Hwang, Fuxiang Chen, Jaegul Choo, Jung-Woo Ha, Sunghun Kim, Jinyeong Yim
Paraphrase Diversification Using Counterfactual Debiasing. AAAI (2019)
Mijung Kim, Shing-Chi Cheung, Sunghun Kim
Which generated test failures are fault revealing? prioritizing failures based on inferred precondition violations using PAF. ESEC/SIGSOFT FSE (2018)
Yunjey Choi, Min-Je Choi, Munyoung Kim, Jung-Woo Ha, Sunghun Kim, Jaegul Choo
StarGAN: Unified Generative Adversarial Networks for Multi-Domain Image-to-Image Translation. CVPR (2018)
Xiaodong Gu, Kyunghyun Cho, JungWoo Ha, Sunghun Kim
DialogWAE: Multimodal Response Generation with Conditional Wasserstein Auto-Encoder. CoRR (2018)
Xiaodong Gu, Hongyu Zhang, Sunghun Kim
Deep code search. ICSE (2018)
Jaechang Nam, Wei Fu, Sunghun Kim, Tim Menzies, Lin Tan
Heterogeneous Defect Prediction. IEEE Trans. Software Eng. 44 (9) (2018)
Nako Sung, Minkyu Kim, Hyunwoo Jo, Youngil Yang, Jingwoong Kim, Leonard Lausen, Youngkwan Kim, Gayoung Lee, Dong-Hyun Kwak, Jung-Woo Ha, Sunghun Kim
NSML: A Machine Learning Platform That Enables You to Focus on Your Models. CoRR (2017)
Jung-Woo Ha, Adrian Kim, Chanju Kim, Jangyeon Park, Sunghun Kim
Automatic Music Highlight Extraction using Convolutional Recurrent Attention Networks. CoRR (2017)
Yunjey Choi, Min-Je Choi, Munyoung Kim, Jung-Woo Ha, Sunghun Kim, Jaegul Choo
StarGAN: Unified Generative Adversarial Networks for Multi-Domain Image-to-Image Translation. CoRR (2017)
Xiaodong Gu, Hongyu Zhang, Dongmei Zhang, Sunghun Kim
DeepAM: Migrate APIs with Multi-modal Sequence to Sequence Learning. CoRR (2017)
Xiaodong Gu, Hongyu Zhang, Dongmei Zhang, Sunghun Kim
DeepAM: Migrate APIs with Multi-modal Sequence to Sequence Learning. IJCAI (2017)
Sunghun Kim, Claire Le Goues, Michael Pradel, Abhik Roychoudhury
Automated Program Repair (Dagstuhl Seminar 17022). Dagstuhl Reports 7 (1) (2017)
Taek Lee, Jaechang Nam, DongGyun Han, Sunghun Kim, Hoh Peter In
Developer Micro Interaction Metrics for Software Defect Prediction. IEEE Trans. Software Eng. 42 (11) (2016)
Wai Ting Cheung, Sukyoung Ryu, Sunghun Kim
Development nature matters: An empirical study of code clones in JavaScript applications. Empir. Softw. Eng. 21 (2) (2016)
Xiaodong Gu, Hongyu Zhang, Dongmei Zhang, Sunghun Kim
Deep API Learning. CoRR (2016)
Martin Pinzger, Sunghun Kim
Guest editorial: mining software repositories. Empir. Softw. Eng. 21 (5) (2016)
Xiaodong Gu, Hongyu Zhang, Dongmei Zhang, Sunghun Kim
Deep API learning. SIGSOFT FSE (2016)
Jin-Woo Park, Mu-Woong Lee, Jinhan Kim, Seung-won Hwang, Sunghun Kim
Cost-aware triage ranking algorithms for bug reporting systems. Knowl. Inf. Syst. 48 (3) (2016)
Massimiliano Di Penta, Sunghun Kim
Guest editorial: Special section on mining software repositories. Empir. Softw. Eng. 21 (2) (2016)
Matthew B. Dwyer, Eric Bodden, Brian Fitzgerald, Miryung Kim, Sunghun Kim, Amy J. Ko, Emilia Mendes, Raffaela Mirandola, Ana Moreira, Forrest Shull, Stephen F. Siegel, Tao Xie, Charles Zhang
Connecting and Serving the Software Engineering Community. IEEE Trans. Software Eng. 42 (3) (2016)
Mijung Kim, Jaechang Nam, Jaehyuk Yeon, Soonhwang Choi, Sunghun Kim
REMI: defect prediction for efficient API testing. ESEC/SIGSOFT FSE (2015)
Sanghoon Lee, Daniel M. Germán, Seung-won Hwang, Sunghun Kim
Crowdsourcing Identification of License Violations. J. Comput. Sci. Eng. 9 (4) (2015)
Ning Chen, Sunghun Kim
STAR: Stack Trace Based Automatic Crash Reproduction via Symbolic Execution. IEEE Trans. Software Eng. 41 (2) (2015)
Yida Tao, Sunghun Kim
Partitioning Composite Code Changes to Facilitate Code Review. MSR (2015)
Jaechang Nam, Sunghun Kim
CLAMI: Defect Prediction on Unlabeled Datasets (T). ASE (2015)
Xiaodong Gu, Sunghun Kim
"What Parts of Your Apps are Loved by Users?" (T). ASE (2015)
Jaechang Nam, Sunghun Kim
Heterogeneous defect prediction. ESEC/SIGSOFT FSE (2015)
Fuxiang Chen, Sunghun Kim
Crowd debugging. ESEC/SIGSOFT FSE (2015)
Seonah Lee, Sungwon Kang, Sunghun Kim, Matthew Staats
The Impact of View Histories on Edit Recommendations. IEEE Trans. Software Eng. 41 (3) (2015)
Rongxin Wu, Hongyu Zhang, Shing-Chi Cheung, Sunghun Kim
CrashLocator: locating crashing faults based on crash stacks. ISSTA (2014)
Hyunmin Seo, Sunghun Kim
How we get there: a context-guided search strategy in concolic testing. SIGSOFT FSE (2014)
Diego Garbervetsky, Sunghun Kim
Developing tools as plug-ins: TOPI 2012 special issue. Softw. Pract. Exp. 44 (3) (2014)
Yida Tao, DongGyun Han, Sunghun Kim
Writing Acceptable Patches: An Empirical Study of Open Source Project Patches. ICSME (2014)
Jin-Woo Park, Mu-Woong Lee, Jong-Won Roh, Seung-won Hwang, Sunghun Kim
Surfacing code in the dark: an instant clone search approach. Knowl. Inf. Syst. 41 (3) (2014)
Liang Gong, Hongyu Zhang, Hyunmin Seo, Sunghun Kim
Locating Crashing Faults based on Crash Stack Traces. CoRR (2014)
Yida Tao, Jindae Kim, Sunghun Kim, Chang Xu
Automatically generated patches as debugging aids: a human study. SIGSOFT FSE (2014)
Jinhan Kim, Sanghoon Lee, Seung-won Hwang, Sunghun Kim
Enriching Documents with Examples: A Corpus Mining Approach. ACM Trans. Inf. Syst. 31 (1) (2013)
Dongsun Kim, Jaechang Nam, Jaewoo Song, Sunghun Kim
Automatic patch generation learned from human-written patches. ICSE (2013)
Diego Garbervetsky, Sunghun Kim
Report from 2nd international workshop on developing tools as plug-ins (TOPI 2012). ACM SIGSOFT Softw. Eng. Notes 38 (1) (2013)
Jaechang Nam, Sinno Jialin Pan, Sunghun Kim
Transfer defect learning. ICSE (2013)
Ahmed E. Hassan, Abram Hindle, Per Runeson, Martin J. Shepperd, Premkumar T. Devanbu, Sunghun Kim
Roundtable: What's Next in Software Analytics. IEEE Softw. 30 (4) (2013)
Tian Jiang, Lin Tan, Sunghun Kim
Personalized defect prediction. ASE (2013)
Sunghun Kim, Thomas Zimmermann, Rahul Premraj, Nicolas Bettenburg, Shivkumar Shivaji
Predicting method crashes with bytecode operations. ISEC (2013)
Dongsun Kim, Yida Tao, Sunghun Kim, Andreas Zeller
Where Should We Fix This Bug? A Two-Phase Recommendation Model. IEEE Trans. Software Eng. 39 (11) (2013)
Shivkumar Shivaji, E. James Whitehead Jr., Ram Akella, Sunghun Kim
Reducing Features to Improve Code Change-Based Bug Prediction. IEEE Trans. Software Eng. 39 (4) (2013)
Yida Tao, Yingnong Dang, Tao Xie, Dongmei Zhang, Sunghun Kim
How do software engineers understand code changes?: an exploratory study in industry. SIGSOFT FSE (2012)
Hyunmin Seo, Sunghun Kim
Predicting recurring crash stacks. ASE (2012)
Caitlin Sadowski, Jaeheon Yi, Sunghun Kim
The evolution of data races. MSR (2012)
Sunghun Kim
Defect, defect, defect: defect prediction 2.0. PROMISE (2012)
Ning Chen, Sunghun Kim
Puzzle-based automatic testing: bringing humans into the loop by solving puzzles. ASE (2012)
Diego Garbervetsky, Sunghun Kim
Report from 2nd international workshop on developing tools as plug-ins (TOPI 2012). ACM SIGSOFT Softw. Eng. Notes 37 (6) (2012)
Jin-Woo Park, Mu-Woong Lee, Jinhan Kim, Seung-won Hwang, Sunghun Kim
CosTriage: A Cost-Aware Triage Algorithm for Bug Reporting Systems. AAAI (2011)
Sunghun Kim, Thomas Zimmermann, Nachiappan Nagappan
Crash graphs: An aggregated view of multiple crashes to improve crash triage. DSN (2011)
Rongxin Wu, Hongyu Zhang, Sunghun Kim, Shing-Chi Cheung
ReLink: recovering links between bugs and changes. SIGSOFT FSE (2011)
Dongsun Kim, Xinming Wang, Sunghun Kim, Andreas Zeller, Shing-Chi Cheung, Sooyong Park
Which Crashes Should I Fix First?: Predicting Top Crashes at an Early Stage to Prioritize Debugging Efforts. IEEE Trans. Software Eng. 37 (3) (2011)
Taek Lee, Jaechang Nam, DongGyun Han, Sunghun Kim, Hoh Peter In
Micro interaction metrics for defect prediction. SIGSOFT FSE (2011)
Heejung Kim, Yungbum Jung, Sunghun Kim, Kwangkeun Yi
MeCC: memory comparison-based clone detector. ICSE (2011)
Qiaona Hong, Sunghun Kim, S. C. Cheung, Christian Bird
Understanding a developer social network and its evolution. ICSM (2011)
Miryung Kim, Dongxiang Cai, Sunghun Kim
An empirical investigation into the role of API-level refactorings during software evolution. ICSE (2011)
Mu-Woong Lee, Seung-won Hwang, Sunghun Kim
Integrating code search into the development session. ICDE (2011)
Sunghun Kim, Ning Chen
Challenges in Automatic Testing. SSIRI (Companion) (2011)
Sunghun Kim, Hongyu Zhang, Rongxin Wu, Liang Gong
Dealing with noise in defect prediction. ICSE (2011)
Hongyu Zhang, Sunghun Kim
Monitoring Software Quality Evolution for Defects. IEEE Softw. 27 (4) (2010)
Jinhan Kim, Sanghoon Lee, Seung-won Hwang, Sunghun Kim
Towards an Intelligent Code Search Engine. AAAI (2010)
Hojun Jaygarl, Sunghun Kim, Tao Xie, Carl K. Chang
OCAT: object capture-based automated testing. ISSTA (2010)
Mu-Woong Lee, Jong-Won Roh, Seung-won Hwang, Sunghun Kim
Instant code clone search. SIGSOFT FSE (2010)
Hojun Jaygarl, Carl K. Chang, Sunghun Kim
Practical Extensions of a Randomized Testing Tool. COMPSAC (1) (2009)
Kai Pan, Sunghun Kim, E. James Whitehead Jr.
Toward an understanding of bug fix patterns. Empir. Softw. Eng. 14 (3) (2009)
Shivkumar Shivaji, E. James Whitehead Jr., Ram Akella, Sunghun Kim
Reducing Features to Improve Bug Prediction. ASE (2009)
Sunghun Kim, Shivkumar Shivaji, E. James Whitehead Jr.
Kenyon-web: Reconfigurable web-based feature extractor. ICPC (2009)
Gaeul Jeong, Sunghun Kim, Thomas Zimmermann
Improving bug triage with bug tossing graphs. ESEC/SIGSOFT FSE (2009)
Shay Artzi, Sunghun Kim, Michael D. Ernst
ReCrashJ: a tool for capturing and reproducing program crashes in deployed applications. ESEC/SIGSOFT FSE (2009)
Jinhan Kim, Sanghoon Lee, Seung-won Hwang, Sunghun Kim
Adding Examples into Java Documents. ASE (2009)
Jeff H. Perkins, Sunghun Kim, Samuel Larsen, Saman P. Amarasinghe, Jonathan Bachrach, Michael Carbin, Carlos Pacheco, Frank Sherwood, Stelios Sidiroglou, Greg Sullivan, Weng-Fai Wong, Yoav Zibin, Michael D. Ernst, Martin C. Rinard
Automatically patching errors in deployed software. SOSP (2009)
Sunghun Kim, Thomas Zimmermann, E. James Whitehead Jr., Andreas Zeller
Predicting faults from cached history. ISEC (2008)

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Publication Activity (10 Years)

Top Topics

Top Venues

Sunghun Kim