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ORCIDSunghun Kim 0001
Sung Kim 0001
Person information
- affiliation: Upstage AI, San Jose, CA, USA
- affiliation: Hong Kong University of Science and Technology, Department of Computer Science and Engineering, Sai Kung, Hong Kong
- affiliation: Naver Corporation, Seongnam, South Korea
- affiliation: Massachusetts Institute of Technology, Department of Electrical Engineering & Computer Science, Cambridge, MA, USA
- affiliation (PhD 2006): University of California, Santa Cruz, Department of Computer Science, CA, USA
Other persons with the same name
- Sunghun Kim (aka: Sung-hun Kim, Sung-Hun Kim, Sung Hun Kim) — disambiguation page
- Sunghun Kim 0002 — Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea (and 1 more)
- Sung Hun Kim 0003
![[0000-0003-4478-9720]](https://dblp.org/img/orcid-mark.12x12.png "0000-0003-4478-9720")
(aka: Sunghun Kim 0003) — Catholic University of Korea, Department of Radiology, Bucheon, South Korea - Sung-Hun Kim 0004 (aka: Sunghun Kim 0004) — Sungkyunkwan University, College of Information and Communication Engineering, Suwon, South Korea
- Sung-hun Kim 0005 (aka: Sung-Hun Kim 0005, Sunghun Kim 0005) — Sungkyunkwan University, College of Information and Communication Engineering, Suwon, South Korea
- Sung Kim — disambiguation page
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2020 – today
- 2025
[j26]Juyong Jiang, Peiyan Zhang, Yingtao Luo, Chaozhuo Li, Jae Boum Kim, Kai Zhang, Senzhang Wang, Sunghun Kim, Philip S. Yu:
Improving Sequential Recommendations via Bidirectional Temporal Data Augmentation With Pre-Training. IEEE Trans. Knowl. Data Eng. 37(5): 2652-2664 (2025)- [c90]Peilin Zhou, Chao Liu, Jing Ren, Xinfeng Zhou, Yueqi Xie, Meng Cao, Zhongtao Rao, You-Liang Huang, Dading Chong, Junling Liu, Jae Boum Kim, Shoujin Wang, Raymond Chi-Wing Wong, Sunghun Kim:
When Large Vision Language Models Meet Multimodal Sequential Recommendation: An Empirical Study. WWW 2025: 275-292 - 2024
- [c89]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 - [c88]Sanghoon Kim, Dahyun Kim, Chanjun Park, Wonsung Lee, Wonho Song, Yunsu Kim, Hyeonwoo Kim, Yungi Kim, Hyeonju Lee, Jihoo Kim, Changbae Ahn, Seonghoon Yang, Sukyung Lee, Hyunbyung Park, Gyoungjin Gim, Mikyoung Cha, Hwalsuk Lee, Sunghun Kim:
SOLAR 10.7B: Scaling Large Language Models with Simple yet Effective Depth Up-Scaling. NAACL (Industry Track) 2024: 23-35 - [c87]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: 1285-1295 - [c86]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: 1774-1784 - [c85]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: 3854-3863 - [c84]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: 4316-4327 - [i28]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 abs/2402.16240 (2024) - [i27]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 abs/2403.11136 (2024) - [i26]Peiyan Zhang, Yuchen Yan, Xi Zhang, Liying Kang, Chaozhuo Li, Feiran Huang, Senzhang Wang, Sunghun Kim:
GPT4Rec: Graph Prompt Tuning for Streaming Recommendation. CoRR abs/2406.08229 (2024) - 2023
- [c83]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: 976-986 - [c82]Juyong Jiang, Binqing Wu, Ling Chen, Kai Zhang, Sunghun Kim:
Enhancing the Robustness via Adversarial Learning and Joint Spatial-Temporal Embeddings in Traffic Forecasting. CIKM 2023: 987-996 - [c81]Peilin Zhou, Qichen Ye, Yueqi Xie, Jingqi Gao, Shoujin Wang, Jae Boum Kim, Chenyu You, Sunghun Kim:
Attention Calibration for Transformer-based Sequential Recommendation. CIKM 2023: 3595-3605 - [c80]Renjie Pi, Weizhong Zhang, Yueqi Xie, Jiahui Gao, Xiaoyu Wang, Sunghun Kim, Qifeng Chen:
DYNAFED: Tackling Client Data Heterogeneity with Global Dynamics. CVPR 2023: 12177-12186 - [c79]Peilin Zhou, Jingqi Gao, Yueqi Xie, Qichen Ye, Yining Hua, Jaeboum Kim, Shoujin Wang, Sunghun Kim:
Equivariant Contrastive Learning for Sequential Recommendation. RecSys 2023: 129-140 - [c78]Yueqi Xie, Jingqi Gao, Peilin Zhou, Qichen Ye, Yining Hua, Jae Boum Kim, Fangzhao Wu, Sunghun Kim:
Rethinking Multi-Interest Learning for Candidate Matching in Recommender Systems. RecSys 2023: 283-293 - [c77]Peiyan Zhang, Yuchen Yan, Chaozhuo Li, Senzhang Wang, Xing Xie, Guojie Song, Sunghun Kim:
Continual Learning on Dynamic Graphs via Parameter Isolation. SIGIR 2023: 601-611 - [c76]Peiyan Zhang, Jiayan Guo, Chaozhuo Li, Yueqi Xie, Jaeboum Kim, Yan Zhang, Xing Xie, Haohan Wang, Sunghun Kim:
Efficiently Leveraging Multi-level User Intent for Session-based Recommendation via Atten-Mixer Network. WSDM 2023: 168-176 - [i25]Yueqi Xie, Jingqi Gao, Peilin Zhou, Qichen Ye, Yining Hua, Jaeboum Kim, Fangzhao Wu, Sunghun Kim:
Rethinking Multi-Interest Learning for Candidate Matching in Recommender Systems. CoRR abs/2302.14532 (2023) - [i24]Peiyan Zhang, Sunghun Kim:
A Survey on Incremental Update for Neural Recommender Systems. CoRR abs/2303.02851 (2023) - [i23]Peiyan Zhang, Yuchen Yan, Chaozhuo Li, Senzhang Wang, Xing Xie, Guojie Song, Sunghun Kim:
Continual Learning on Dynamic Graphs via Parameter Isolation. CoRR abs/2305.13825 (2023) - [i22]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 abs/2308.09419 (2023) - [i21]Peiyan Zhang, Haoyang Liu, Chaozhuo Li, Xing Xie, Sunghun Kim, Haohan Wang:
Foundation Model-oriented Robustness: Robust Image Model Evaluation with Pretrained Models. CoRR abs/2308.10632 (2023) - [i20]Peiyan Zhang, Yuchen Yan, Chaozhuo Li, Senzhang Wang, Xing Xie, Sunghun Kim:
Can Transformer and GNN Help Each Other? CoRR abs/2308.14355 (2023) - [i19]Dahyun Kim, Chanjun Park, Sanghoon Kim, Wonsung Lee, Wonho Song, Yunsu Kim, Hyeonwoo Kim, Yungi Kim, Hyeonju Lee, Jihoo Kim, Changbae Ahn, Seonghoon Yang, Sukyung Lee, Hyunbyung Park, Gyoungjin Gim, Mikyoung Cha, Hwalsuk Lee, Sunghun Kim:
SOLAR 10.7B: Scaling Large Language Models with Simple yet Effective Depth Up-Scaling. CoRR abs/2312.15166 (2023) - 2022
- [c75]Jiayan Guo, Peiyan Zhang, Chaozhuo Li, Xing Xie, Yan Zhang, Sunghun Kim:
Evolutionary Preference Learning via Graph Nested GRU ODE for Session-based Recommendation. CIKM 2022: 624-634 - [c74]Yueqi Xie, Peilin Zhou, Sunghun Kim:
Decoupled Side Information Fusion for Sequential Recommendation. SIGIR 2022: 1611-1621 - [i18]Yueqi Xie, Peilin Zhou, Sunghun Kim:
Decoupled Side Information Fusion for Sequential Recommendation. CoRR abs/2204.11046 (2022) - [i17]Juyong Jiang, Jae Boum Kim, Yingtao Luo, Kai Zhang, Sunghun Kim:
AdaMCT: Adaptive Mixture of CNN-Transformer for Sequential Recommendation. CoRR abs/2205.08776 (2022) - [i16]Jiayan Guo, Peiyan Zhang, Chaozhuo Li, Xing Xie, Yan Zhang, Sunghun Kim:
Evolutionary Preference Learning via Graph Nested GRU ODE for Session-based Recommendation. CoRR abs/2206.12779 (2022) - [i15]Peiyan Zhang, Jiayan Guo, Chaozhuo Li, Yueqi Xie, Jaeboum Kim, Yan Zhang, Xing Xie, Haohan Wang, Sunghun Kim:
Efficiently Leveraging Multi-level User Intent for Session-based Recommendation via Atten-Mixer Network. CoRR abs/2206.12781 (2022) - [i14]Juyong Jiang, Binqing Wu, Ling Chen, Sunghun Kim:
Dynamic Adaptive and Adversarial Graph Convolutional Network for Traffic Forecasting. CoRR abs/2208.03063 (2022) - [i13]Peilin Zhou, Jingqi Gao, Yueqi Xie, Qichen Ye, Yining Hua, Sunghun Kim:
Equivariant Contrastive Learning for Sequential Recommendation. CoRR abs/2211.05290 (2022) - [i12]Yueqi Xie, Weizhong Zhang, Renjie Pi, Fangzhao Wu, Qifeng Chen, Xing Xie, Sunghun Kim:
Robust Federated Learning against both Data Heterogeneity and Poisoning Attack via Aggregation Optimization. CoRR abs/2211.05554 (2022) - [i11]Renjie Pi, Weizhong Zhang, Yueqi Xie, Jiahui Gao, Xiaoyu Wang, Sunghun Kim, Qifeng Chen:
DYNAFED: Tackling Client Data Heterogeneity with Global Dynamics. CoRR abs/2211.10878 (2022) - 2021
- [c73]Xiaodong Gu, Yo-Sub Han, Sunghun Kim, Hongyu Zhang:
Do Bugs Propagate? An Empirical Analysis of Temporal Correlations Among Software Bugs. ECOOP 2021: 11:1-11:21 - [i10]Juyong Jiang, Yingtao Luo, Jae Boum Kim, Kai Zhang, Sunghun Kim:
Sequential Recommendation with Bidirectional Chronological Augmentation of Transformer. CoRR abs/2112.06460 (2021) - 2020
- [j25]Jindae Kim, Jeongho Kim, Eunseok Lee, Sunghun Kim:
The effectiveness of context-based change application on automatic program repair. Empir. Softw. Eng. 25(1): 719-754 (2020) - [c72]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: 409-413 - [i9]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 abs/2004.09367 (2020)
2010 – 2019
- 2019
- [j24]Jindae Kim, Sunghun Kim:
Automatic patch generation with context-based change application. Empir. Softw. Eng. 24(6): 4071-4106 (2019) - [c71]Sunghyun Park, Seung-won Hwang, Fuxiang Chen, Jaegul Choo, Jung-Woo Ha, Sunghun Kim, Jinyeong Yim:
Paraphrase Diversification Using Counterfactual Debiasing. AAAI 2019: 6883-6891 - [c70]Fuxiang Chen, Aldy Gunawan, David Lo, Sunghun Kim:
InSPeCT: Iterated Local Search for Solving Path Conditions. CASE 2019: 1724-1729 - [c69]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: 2603-2613 - [c68]Xiaodong Gu, Kyunghyun Cho, Jung-Woo Ha, Sunghun Kim:
DialogWAE: Multimodal Response Generation with Conditional Wasserstein Auto-Encoder. ICLR (Poster) 2019 - [c67]Xiaodong Gu, Hongyu Zhang, Sunghun Kim:
CodeKernel: A Graph Kernel Based Approach to the Selection of API Usage Examples. ASE 2019: 590-601 - 2018
- [j23]Jaechang Nam, Wei Fu, Sunghun Kim, Tim Menzies, Lin Tan:
Heterogeneous Defect Prediction. IEEE Trans. Software Eng. 44(9): 874-896 (2018) - [c66]Zhenhui Peng, Jeehoon Yoo, Meng Xia, Sunghun Kim, Xiaojuan Ma:
Exploring How Software Developers Work with Mention Bot in GitHub. CCHI 2018: 152-155 - [c65]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: 8789-8797 - [c64]Xiaodong Gu, Hongyu Zhang, Sunghun Kim:
Deep code search. ICSE 2018: 933-944 - [c63]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: 679-690 - [i8]Xiaodong Gu, Kyunghyun Cho, Jung-Woo Ha, Sunghun Kim:
DialogWAE: Multimodal Response Generation with Conditional Wasserstein Auto-Encoder. CoRR abs/1805.12352 (2018) - 2017
- [c62]Xiaodong Gu, Hongyu Zhang, Dongmei Zhang, Sunghun Kim:
DeepAM: Migrate APIs with Multi-modal Sequence to Sequence Learning. IJCAI 2017: 3675-3681 - [i7]Xiaodong Gu, Hongyu Zhang, Dongmei Zhang, Sunghun Kim:
DeepAM: Migrate APIs with Multi-modal Sequence to Sequence Learning. CoRR abs/1704.07734 (2017) - [i6]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 abs/1711.09020 (2017) - [i5]Jung-Woo Ha, Adrian Kim, Chanju Kim, Jangyeon Park, Sunghun Kim:
Automatic Music Highlight Extraction using Convolutional Recurrent Attention Networks. CoRR abs/1712.05901 (2017) - [i4]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 abs/1712.05902 (2017) - [i3]Sunghun Kim, Claire Le Goues, Michael Pradel, Abhik Roychoudhury:
Automated Program Repair (Dagstuhl Seminar 17022). Dagstuhl Reports 7(1): 19-31 (2017) - 2016
- [j22]Massimiliano Di Penta, Sunghun Kim:
Guest editorial: Special section on mining software repositories. Empir. Softw. Eng. 21(2): 301-302 (2016) - [j21]Wai Ting Cheung, Sukyoung Ryu, Sunghun Kim:
Development nature matters: An empirical study of code clones in JavaScript applications. Empir. Softw. Eng. 21(2): 517-564 (2016) - [j20]Martin Pinzger, Sunghun Kim:
Guest editorial: mining software repositories. Empir. Softw. Eng. 21(5): 2033-2034 (2016) - [j19]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): 679-705 (2016) - [j18]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): 203-205 (2016) - [j17]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): 1015-1035 (2016) - [c61]Xiaodong Gu, Hongyu Zhang, Dongmei Zhang, Sunghun Kim:
Deep API learning. SIGSOFT FSE 2016: 631-642 - [i2]Xiaodong Gu, Hongyu Zhang, Dongmei Zhang, Sunghun Kim:
Deep API Learning. CoRR abs/1605.08535 (2016) - 2015
- [j16]Sanghoon Lee, Daniel M. Germán, Seung-won Hwang, Sunghun Kim:
Crowdsourcing Identification of License Violations. J. Comput. Sci. Eng. 9(4) (2015) - [j15]Ning Chen, Sunghun Kim:
STAR: Stack Trace Based Automatic Crash Reproduction via Symbolic Execution. IEEE Trans. Software Eng. 41(2): 198-220 (2015) - [j14]Seonah Lee, Sungwon Kang, Sunghun Kim, Matthew Staats:
The Impact of View Histories on Edit Recommendations. IEEE Trans. Software Eng. 41(3): 314-330 (2015) - [c60]Jaechang Nam, Sunghun Kim:
CLAMI: Defect Prediction on Unlabeled Datasets (T). ASE 2015: 452-463 - [c59]Xiaodong Gu, Sunghun Kim:
"What Parts of Your Apps are Loved by Users?" (T). ASE 2015: 760-770 - [c58]Yida Tao, Sunghun Kim:
Partitioning Composite Code Changes to Facilitate Code Review. MSR 2015: 180-190 - [c57]Fuxiang Chen, Sunghun Kim:
Crowd debugging. ESEC/SIGSOFT FSE 2015: 320-332 - [c56]Jaechang Nam, Sunghun Kim:
Heterogeneous defect prediction. ESEC/SIGSOFT FSE 2015: 508-519 - [c55]Mijung Kim, Jaechang Nam, Jaehyuk Yeon, Soonhwang Choi, Sunghun Kim:
REMI: defect prediction for efficient API testing. ESEC/SIGSOFT FSE 2015: 990-993 - 2014
- [j13]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): 727-759 (2014) - [j12]Diego Garbervetsky, Sunghun Kim:
Developing tools as plug-ins: TOPI 2012 special issue. Softw. Pract. Exp. 44(3): 259-260 (2014) - [c54]Yida Tao, DongGyun Han, Sunghun Kim:
Writing Acceptable Patches: An Empirical Study of Open Source Project Patches. ICSME 2014: 271-280 - [c53]Rongxin Wu, Hongyu Zhang, Shing-Chi Cheung, Sunghun Kim:
CrashLocator: locating crashing faults based on crash stacks. ISSTA 2014: 204-214 - [c52]Yida Tao, Jindae Kim, Sunghun Kim, Chang Xu:
Automatically generated patches as debugging aids: a human study. SIGSOFT FSE 2014: 64-74 - [c51]Hyunmin Seo, Sunghun Kim:
How we get there: a context-guided search strategy in concolic testing. SIGSOFT FSE 2014: 413-424 - [e4]Premkumar T. Devanbu, Sung Kim, Martin Pinzger:
11th Working Conference on Mining Software Repositories, MSR 2014, Proceedings, May 31 - June 1, 2014, Hyderabad, India. ACM 2014, ISBN 978-1-4503-2863-0 [contents] - [i1]Liang Gong, Hongyu Zhang, Hyunmin Seo, Sunghun Kim:
Locating Crashing Faults based on Crash Stack Traces. CoRR abs/1404.4100 (2014) - 2013
- [j11]Diego Garbervetsky, Sunghun Kim:
Report from 2nd international workshop on developing tools as plug-ins (TOPI 2012). ACM SIGSOFT Softw. Eng. Notes 38(1): 49-51 (2013) - [j10]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): 53-56 (2013) - [j9]Jinhan Kim, Sanghoon Lee, Seung-won Hwang, Sunghun Kim:
Enriching Documents with Examples: A Corpus Mining Approach. ACM Trans. Inf. Syst. 31(1): 1:1-1:27 (2013) - [j8]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): 552-569 (2013) - [j7]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): 1597-1610 (2013) - [c50]Jaechang Nam, Sinno Jialin Pan, Sunghun Kim:
Transfer defect learning. ICSE 2013: 382-391 - [c49]Dongsun Kim, Jaechang Nam, Jaewoo Song, Sunghun Kim:
Automatic patch generation learned from human-written patches. ICSE 2013: 802-811 - [c48]Sunghun Kim, Thomas Zimmermann, Rahul Premraj, Nicolas Bettenburg, Shivkumar Shivaji:
Predicting method crashes with bytecode operations. ISEC 2013: 3-12 - [c47]Tian Jiang, Lin Tan, Sunghun Kim:
Personalized defect prediction. ASE 2013: 279-289 - [e3]Thomas Zimmermann, Massimiliano Di Penta, Sunghun Kim:
Proceedings of the 10th Working Conference on Mining Software Repositories, MSR '13, San Francisco, CA, USA, May 18-19, 2013. IEEE Computer Society 2013, ISBN 978-1-4673-2936-1 [contents] - 2012
- [j6]Diego Garbervetsky, Sunghun Kim:
Report from 2nd international workshop on developing tools as plug-ins (TOPI 2012). ACM SIGSOFT Softw. Eng. Notes 37(6): 24-27 (2012) - [c46]Ning Chen, Sunghun Kim:
Puzzle-based automatic testing: bringing humans into the loop by solving puzzles. ASE 2012: 140-149 - [c45]Hyunmin Seo, Sunghun Kim:
Predicting recurring crash stacks. ASE 2012: 180-189 - [c44]Caitlin Sadowski, Jaeheon Yi, Sunghun Kim:
The evolution of data races. MSR 2012: 171-174 - [c43]Sunghun Kim:
Defect, defect, defect: defect prediction 2.0. PROMISE 2012: 1-2 - [c42]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: 51 - [e2]Diego Garbervetsky, Sunghun Kim:
Proceedings of the Second International Workshop on Developing Tools as Plug-Ins, TOPI 2012, Zurich, Switzerland, June 3, 2012. IEEE Computer Society 2012, ISBN 978-1-4673-1820-4 [contents] - 2011
- [j5]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): 430-447 (2011) - [c41]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: 139-144 - [c40]Sunghun Kim, Thomas Zimmermann, Nachiappan Nagappan:
Crash graphs: An aggregated view of multiple crashes to improve crash triage. DSN 2011: 486-493 - [c39]Mu-Woong Lee, Seung-won Hwang, Sunghun Kim:
Integrating code search into the development session. ICDE 2011: 1336-1339 - [c38]Miryung Kim, Dongxiang Cai, Sunghun Kim:
An empirical investigation into the role of API-level refactorings during software evolution. ICSE 2011: 151-160 - [c37]Heejung Kim, Yungbum Jung, Sunghun Kim, Kwangkeun Yi:
MeCC: memory comparison-based clone detector. ICSE 2011: 301-310 - [c36]Sunghun Kim, Hongyu Zhang, Rongxin Wu, Liang Gong:
Dealing with noise in defect prediction. ICSE 2011: 481-490 - [c35]Qiaona Hong, Sunghun Kim, Shing-Chi Cheung, Christian Bird:
Understanding a developer social network and its evolution. ICSM 2011: 323-332 - [c34]Rongxin Wu, Hongyu Zhang, Sunghun Kim, Shing-Chi Cheung:
ReLink: recovering links between bugs and changes. SIGSOFT FSE 2011: 15-25 - [c33]Taek Lee, Jaechang Nam, DongGyun Han, Sunghun Kim, Hoh Peter In:
Micro interaction metrics for defect prediction. SIGSOFT FSE 2011: 311-321 - [c32]Sunghun Kim, Ning Chen:
Challenges in Automatic Testing. SSIRI (Companion) 2011: 84 - 2010
- [j4]Hongyu Zhang, Sunghun Kim:
Monitoring Software Quality Evolution for Defects. IEEE Softw. 27(4): 58-64 (2010) - [c31]Jinhan Kim, Sanghoon Lee, Seung-won Hwang, Sunghun Kim:
Towards an Intelligent Code Search Engine. AAAI 2010: 1358-1363 - [c30]Hojun Jaygarl, Sunghun Kim, Tao Xie, Carl K. Chang:
OCAT: object capture-based automated testing. ISSTA 2010: 159-170 - [c29]Mu-Woong Lee, Jong-Won Roh, Seung-won Hwang, Sunghun Kim:
Instant code clone search. SIGSOFT FSE 2010: 167-176
2000 – 2009
- 2009
- [j3]Kai Pan, Sunghun Kim, E. James Whitehead Jr.:
Toward an understanding of bug fix patterns. Empir. Softw. Eng. 14(3): 286-315 (2009) - [c28]Hojun Jaygarl, Carl K. Chang, Sunghun Kim:
Practical Extensions of a Randomized Testing Tool. COMPSAC (1) 2009: 148-153 - [c27]Sunghun Kim, Shivkumar Shivaji, E. James Whitehead Jr.:
Kenyon-web: Reconfigurable web-based feature extractor. ICPC 2009: 287-288 - [c26]Jinhan Kim, Sanghoon Lee, Seung-won Hwang, Sunghun Kim:
Adding Examples into Java Documents. ASE 2009: 540-544 - [c25]Shivkumar Shivaji, E. James Whitehead Jr., Ram Akella, Sunghun Kim:
Reducing Features to Improve Bug Prediction. ASE 2009: 600-604 - [c24]Gaeul Jeong, Sunghun Kim, Thomas Zimmermann:
Improving bug triage with bug tossing graphs. ESEC/SIGSOFT FSE 2009: 111-120 - [c23]Shay Artzi, Sunghun Kim, Michael D. Ernst:
ReCrashJ: a tool for capturing and reproducing program crashes in deployed applications. ESEC/SIGSOFT FSE 2009: 295-296 - [c22]Jeff H. Perkins, Sunghun Kim, Samuel Larsen, Saman P. Amarasinghe, Jonathan Bachrach, Michael Carbin, Carlos Pacheco, Frank Sherwood, Stelios Sidiroglou, Gregory T. Sullivan, Weng-Fai Wong, Yoav Zibin, Michael D. Ernst, Martin C. Rinard:
Automatically patching errors in deployed software. SOSP 2009: 87-102 - [e1]Audris Mockus, Seung-won Hwang, Sunghun Kim:
Proceeding of the ACM First International Workshop on Data-Intensive Software Management and Mining, CIKM-DSMM 2009, Hong Kong, China, November 6, 2009. ACM 2009, ISBN 978-1-60558-810-0 [contents] - 2008
- [j2]Sunghun Kim, E. James Whitehead Jr., Yi Zhang:
Classifying Software Changes: Clean or Buggy? IEEE Trans. Software Eng. 34(2): 181-196 (2008) - [c21]Shay Artzi, Sunghun Kim, Michael D. Ernst:
ReCrash: Making Software Failures Reproducible by Preserving Object States. ECOOP 2008: 542-565 - [c20]Michele Lanza, Michael W. Godfrey, Sunghun Kim:
MSR 2008 - 5th working conference on mining software repositories. ICSE Companion 2008: 1037-1038 - [c19]Nicolas Bettenburg, Rahul Premraj, Thomas Zimmermann, Sunghun Kim:
Duplicate bug reports considered harmful ... really? ICSM 2008: 337-345 - [c18]Sunghun Kim, Thomas Zimmermann, E. James Whitehead Jr., Andreas Zeller:
Predicting faults from cached history. ISEC 2008: 15-16 - [c17]Nicolas Bettenburg, Rahul Premraj, Thomas Zimmermann, Sunghun Kim:
Extracting structural information from bug reports. MSR 2008: 27-30 - 2007
- [c16]Sunghun Kim, Thomas Zimmermann, E. James Whitehead Jr., Andreas Zeller:
Predicting Faults from Cached History. ICSE 2007: 489-498 - [c15]Sunghun Kim, Michael D. Ernst:
Prioritizing Warning Categories by Analyzing Software History. MSR 2007: 27 - [c14]Sunghun Kim, Michael D. Ernst:
Which warnings should I fix first? ESEC/SIGSOFT FSE 2007: 45-54 - 2006
- [c13]Sunghun Kim, E. James Whitehead Jr.:
Properties of Signature Change Patterns. ICSM 2006: 4-13 - [c12]Sunghun Kim, Thomas Zimmermann, Kai Pan, E. James Whitehead Jr.:
Automatic Identification of Bug-Introducing Changes. ASE 2006: 81-90 - [c11]Sunghun Kim, Thomas Zimmermann, Miryung Kim, Ahmed E. Hassan, Audris Mockus, Tudor Gîrba, Martin Pinzger, E. James Whitehead Jr., Andreas Zeller:
TA-RE: an exchange language for mining software repositories. MSR 2006: 22-25 - [c10]Sunghun Kim, Kai Pan, E. James Whitehead Jr.:
Micro pattern evolution. MSR 2006: 40-46 - [c9]Thomas Zimmermann, Sunghun Kim, Andreas Zeller, E. James Whitehead Jr.:
Mining version archives for co-changed lines. MSR 2006: 72-75 - [c8]Sunghun Kim, E. James Whitehead Jr.:
How long did it take to fix bugs? MSR 2006: 173-174 - [c7]Kai Pan, Sunghun Kim, E. James Whitehead Jr.:
Bug Classification Using Program Slicing Metrics. SCAM 2006: 31-42 - [c6]Sunghun Kim, Kai Pan, E. James Whitehead Jr.:
Memories of bug fixes. SIGSOFT FSE 2006: 35-45 - 2005
- [j1]Sunghun Kim, E. James Whitehead Jr., Jennifer Bevan:
Analysis of signature change patterns. ACM SIGSOFT Softw. Eng. Notes 30(4): 1-5 (2005) - [c5]Sunghun Kim, E. James Whitehead Jr., Jennifer Bevan:
Analysis of signature change patterns. MSR 2005 - [c4]Jennifer Bevan, E. James Whitehead Jr., Sunghun Kim, Michael W. Godfrey:
Facilitating software evolution research with kenyon. ESEC/SIGSOFT FSE 2005: 177-186 - [c3]Sunghun Kim, Kai Pan, E. James Whitehead Jr.:
When Functions Change Their Names: Automatic Detection of Origin Relationships. WCRE 2005: 143-152 - 2004
- [c2]Sunghun Kim, E. James Whitehead Jr.:
Properties of academic paper references. Hypertext 2004: 44-45 - [c1]Sunghun Kim, Mark Slater, E. James Whitehead Jr.:
WebDAV-based hypertext annotation and trail system. Hypertext 2004: 87-88
Coauthor Index
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