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Sunghun Kim 0001

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affiliation: Hong Kong University of Science and Technology, Department of Computer Science and Engineering
affiliation: Massachusetts Institute of Technology, Department of Electrical Engineering & Computer Science
affiliation: University of California, Santa Cruz, Department of Computer Science

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2020 – today

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2024
[c88]
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  - conf/iclr/ZhangL000W24
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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
[c87]
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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]
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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]
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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]
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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
[i30]
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  - journals/corr/abs-2402-16240
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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)
[i29]
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  - journals/corr/abs-2403-11136
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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)
[i28]
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Weilin Cai, Juyong Jiang, Le Qin, Junwei Cui, Sunghun Kim, Jiayi Huang:
Shortcut-connected Expert Parallelism for Accelerating Mixture-of-Experts. CoRR abs/2404.05019 (2024)
[i27]
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  - journals/corr/abs-2406-00515
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Juyong Jiang, Fan Wang, Jiasi Shen, Sungju Kim, Sunghun Kim:
A Survey on Large Language Models for Code Generation. CoRR abs/2406.00515 (2024)
[i26]
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  - journals/corr/abs-2406-08229
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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)
[i25]
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  - journals/corr/abs-2407-06204
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Weilin Cai, Juyong Jiang, Fan Wang, Jing Tang, Sunghun Kim, Jiayi Huang:
A Survey on Mixture of Experts. CoRR abs/2407.06204 (2024)
2023
[c83]
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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]
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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]
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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]
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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]
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  - conf/recsys/ZhouGXYHKW023
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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]
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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]
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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]
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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
[i24]
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  - journals/corr/abs-2302-14532
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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)
[i23]
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  - journals/corr/abs-2303-02851
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Peiyan Zhang, Sunghun Kim:
A Survey on Incremental Update for Neural Recommender Systems. CoRR abs/2303.02851 (2023)
[i22]
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  - journals/corr/abs-2305-13825
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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)
[i21]
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  - journals/corr/abs-2308-09419
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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)
[i20]
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  - journals/corr/abs-2308-10632
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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)
[i19]
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  - journals/corr/abs-2308-14355
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Peiyan Zhang, Yuchen Yan, Chaozhuo Li, Senzhang Wang, Xing Xie, Sunghun Kim:
Can Transformer and GNN Help Each Other? CoRR abs/2308.14355 (2023)
2022
[c75]
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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]
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Yueqi Xie, Peilin Zhou, Sunghun Kim:
Decoupled Side Information Fusion for Sequential Recommendation. SIGIR 2022: 1611-1621
[i18]
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  - journals/corr/abs-2204-11046
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Yueqi Xie, Peilin Zhou, Sunghun Kim:
Decoupled Side Information Fusion for Sequential Recommendation. CoRR abs/2204.11046 (2022)
[i17]
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  - journals/corr/abs-2205-08776
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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]
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  - journals/corr/abs-2206-12779
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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]
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  - journals/corr/abs-2206-12781
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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]
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  - journals/corr/abs-2208-03063
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Juyong Jiang, Binqing Wu, Ling Chen, Sunghun Kim:
Dynamic Adaptive and Adversarial Graph Convolutional Network for Traffic Forecasting. CoRR abs/2208.03063 (2022)
[i13]
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  - journals/corr/abs-2211-05290
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Peilin Zhou, Jingqi Gao, Yueqi Xie, Qichen Ye, Yining Hua, Sunghun Kim:
Equivariant Contrastive Learning for Sequential Recommendation. CoRR abs/2211.05290 (2022)
[i12]
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  - journals/corr/abs-2211-05554
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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]
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  - journals/corr/abs-2211-10878
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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]
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  - conf/ecoop/GuH0021
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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]
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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
[c72]
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  - conf/interspeech/HaNKLYJKKKKDLS020
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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
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Sunghun Kim, Georgios Gousios, Sarah Nadi, Joseph Hejderup:
MSR '20: 17th International Conference on Mining Software Repositories, Seoul, Republic of Korea, 29-30 June, 2020. ACM 2020, ISBN 978-1-4503-7517-7 [contents]
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  - journals/corr/abs-2004-09367
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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

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2019
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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
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Fuxiang Chen, Aldy Gunawan, David Lo, Sunghun Kim:
InSPeCT: Iterated Local Search for Solving Path Conditions. CASE 2019: 1724-1729
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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]
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Xiaodong Gu, Kyunghyun Cho, Jung-Woo Ha, Sunghun Kim:
DialogWAE: Multimodal Response Generation with Conditional Wasserstein Auto-Encoder. ICLR (Poster) 2019
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Xiaodong Gu, Hongyu Zhang, Sunghun Kim:
CodeKernel: A Graph Kernel Based Approach to the Selection of API Usage Examples. ASE 2019: 590-601
2018
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Jaechang Nam, Wei Fu, Sunghun Kim, Tim Menzies, Lin Tan:
Heterogeneous Defect Prediction. IEEE Trans. Software Eng. 44(9): 874-896 (2018)
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  - conf/cchi/PengYXKM18
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Zhenhui Peng, Jeehoon Yoo, Meng Xia, Sunghun Kim, Xiaojuan Ma:
Exploring How Software Developers Work with Mention Bot in GitHub. CCHI 2018: 152-155
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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
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Xiaodong Gu, Hongyu Zhang, Sunghun Kim:
Deep code search. ICSE 2018: 933-944
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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
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Xiaodong Gu, Kyunghyun Cho, Jung-Woo Ha, Sunghun Kim:
DialogWAE: Multimodal Response Generation with Conditional Wasserstein Auto-Encoder. CoRR abs/1805.12352 (2018)
2017
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Xiaodong Gu, Hongyu Zhang, Dongmei Zhang, Sunghun Kim:
DeepAM: Migrate APIs with Multi-modal Sequence to Sequence Learning. IJCAI 2017: 3675-3681
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Xiaodong Gu, Hongyu Zhang, Dongmei Zhang, Sunghun Kim:
DeepAM: Migrate APIs with Multi-modal Sequence to Sequence Learning. CoRR abs/1704.07734 (2017)
[i6]
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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)
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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]
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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)
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Sunghun Kim, Claire Le Goues, Michael Pradel, Abhik Roychoudhury:
Automated Program Repair (Dagstuhl Seminar 17022). Dagstuhl Reports 7(1): 19-31 (2017)
2016
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Massimiliano Di Penta, Sunghun Kim:
Guest editorial: Special section on mining software repositories. Empir. Softw. Eng. 21(2): 301-302 (2016)
[j21]
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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]
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Martin Pinzger, Sunghun Kim:
Guest editorial: mining software repositories. Empir. Softw. Eng. 21(5): 2033-2034 (2016)
[j19]
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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]
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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]
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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)
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Xiaodong Gu, Hongyu Zhang, Dongmei Zhang, Sunghun Kim:
Deep API learning. SIGSOFT FSE 2016: 631-642
[i2]
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Xiaodong Gu, Hongyu Zhang, Dongmei Zhang, Sunghun Kim:
Deep API Learning. CoRR abs/1605.08535 (2016)
2015
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Sanghoon Lee, Daniel M. Germán, Seung-won Hwang, Sunghun Kim:
Crowdsourcing Identification of License Violations. J. Comput. Sci. Eng. 9(4) (2015)
[j15]
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Ning Chen, Sunghun Kim:
STAR: Stack Trace Based Automatic Crash Reproduction via Symbolic Execution. IEEE Trans. Software Eng. 41(2): 198-220 (2015)
[j14]
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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]
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Jaechang Nam, Sunghun Kim:
CLAMI: Defect Prediction on Unlabeled Datasets (T). ASE 2015: 452-463
[c59]
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Xiaodong Gu, Sunghun Kim:
"What Parts of Your Apps are Loved by Users?" (T). ASE 2015: 760-770
[c58]
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Yida Tao, Sunghun Kim:
Partitioning Composite Code Changes to Facilitate Code Review. MSR 2015: 180-190
[c57]
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Fuxiang Chen, Sunghun Kim:
Crowd debugging. ESEC/SIGSOFT FSE 2015: 320-332
[c56]
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Jaechang Nam, Sunghun Kim:
Heterogeneous defect prediction. ESEC/SIGSOFT FSE 2015: 508-519
[c55]
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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]
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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]
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Diego Garbervetsky, Sunghun Kim:
Developing tools as plug-ins: TOPI 2012 special issue. Softw. Pract. Exp. 44(3): 259-260 (2014)
[c54]
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Yida Tao, DongGyun Han, Sunghun Kim:
Writing Acceptable Patches: An Empirical Study of Open Source Project Patches. ICSME 2014: 271-280
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Rongxin Wu, Hongyu Zhang, Shing-Chi Cheung, Sunghun Kim:
CrashLocator: locating crashing faults based on crash stacks. ISSTA 2014: 204-214
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Yida Tao, Jindae Kim, Sunghun Kim, Chang Xu:
Automatically generated patches as debugging aids: a human study. SIGSOFT FSE 2014: 64-74
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Hyunmin Seo, Sunghun Kim:
How we get there: a context-guided search strategy in concolic testing. SIGSOFT FSE 2014: 413-424
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Liang Gong, Hongyu Zhang, Hyunmin Seo, Sunghun Kim:
Locating Crashing Faults based on Crash Stack Traces. CoRR abs/1404.4100 (2014)
2013
[j11]
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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]
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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]
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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]
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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]
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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]
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Jaechang Nam, Sinno Jialin Pan, Sunghun Kim:
Transfer defect learning. ICSE 2013: 382-391
[c49]
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Dongsun Kim, Jaechang Nam, Jaewoo Song, Sunghun Kim:
Automatic patch generation learned from human-written patches. ICSE 2013: 802-811
[c48]
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Sunghun Kim, Thomas Zimmermann, Rahul Premraj, Nicolas Bettenburg, Shivkumar Shivaji:
Predicting method crashes with bytecode operations. ISEC 2013: 3-12
[c47]
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Tian Jiang, Lin Tan, Sunghun Kim:
Personalized defect prediction. ASE 2013: 279-289
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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]
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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]
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Ning Chen, Sunghun Kim:
Puzzle-based automatic testing: bringing humans into the loop by solving puzzles. ASE 2012: 140-149
[c45]
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Hyunmin Seo, Sunghun Kim:
Predicting recurring crash stacks. ASE 2012: 180-189
[c44]
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Caitlin Sadowski, Jaeheon Yi, Sunghun Kim:
The evolution of data races. MSR 2012: 171-174
[c43]
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Sunghun Kim:
Defect, defect, defect: defect prediction 2.0. PROMISE 2012: 1-2
[c42]
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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
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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]
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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]
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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]
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Sunghun Kim, Thomas Zimmermann, Nachiappan Nagappan:
Crash graphs: An aggregated view of multiple crashes to improve crash triage. DSN 2011: 486-493
[c39]
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Mu-Woong Lee, Seung-won Hwang, Sunghun Kim:
Integrating code search into the development session. ICDE 2011: 1336-1339
[c38]
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Miryung Kim, Dongxiang Cai, Sunghun Kim:
An empirical investigation into the role of API-level refactorings during software evolution. ICSE 2011: 151-160
[c37]
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Heejung Kim, Yungbum Jung, Sunghun Kim, Kwangkeun Yi:
MeCC: memory comparison-based clone detector. ICSE 2011: 301-310
[c36]
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Sunghun Kim, Hongyu Zhang, Rongxin Wu, Liang Gong:
Dealing with noise in defect prediction. ICSE 2011: 481-490
[c35]
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Qiaona Hong, Sunghun Kim, Shing-Chi Cheung, Christian Bird:
Understanding a developer social network and its evolution. ICSM 2011: 323-332
[c34]
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Rongxin Wu, Hongyu Zhang, Sunghun Kim, Shing-Chi Cheung:
ReLink: recovering links between bugs and changes. SIGSOFT FSE 2011: 15-25
[c33]
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Taek Lee, Jaechang Nam, DongGyun Han, Sunghun Kim, Hoh Peter In:
Micro interaction metrics for defect prediction. SIGSOFT FSE 2011: 311-321
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Sunghun Kim, Ning Chen:
Challenges in Automatic Testing. SSIRI (Companion) 2011: 84
2010
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Hongyu Zhang, Sunghun Kim:
Monitoring Software Quality Evolution for Defects. IEEE Softw. 27(4): 58-64 (2010)
[c31]
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Jinhan Kim, Sanghoon Lee, Seung-won Hwang, Sunghun Kim:
Towards an Intelligent Code Search Engine. AAAI 2010: 1358-1363
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Hojun Jaygarl, Sunghun Kim, Tao Xie, Carl K. Chang:
OCAT: object capture-based automated testing. ISSTA 2010: 159-170
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Mu-Woong Lee, Jong-Won Roh, Seung-won Hwang, Sunghun Kim:
Instant code clone search. SIGSOFT FSE 2010: 167-176

2000 – 2009

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2009
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Kai Pan, Sunghun Kim, E. James Whitehead Jr.:
Toward an understanding of bug fix patterns. Empir. Softw. Eng. 14(3): 286-315 (2009)
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Hojun Jaygarl, Carl K. Chang, Sunghun Kim:
Practical Extensions of a Randomized Testing Tool. COMPSAC (1) 2009: 148-153
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Sunghun Kim, Shivkumar Shivaji, E. James Whitehead Jr.:
Kenyon-web: Reconfigurable web-based feature extractor. ICPC 2009: 287-288
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Jinhan Kim, Sanghoon Lee, Seung-won Hwang, Sunghun Kim:
Adding Examples into Java Documents. ASE 2009: 540-544
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Shivkumar Shivaji, E. James Whitehead Jr., Ram Akella, Sunghun Kim:
Reducing Features to Improve Bug Prediction. ASE 2009: 600-604
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Gaeul Jeong, Sunghun Kim, Thomas Zimmermann:
Improving bug triage with bug tossing graphs. ESEC/SIGSOFT FSE 2009: 111-120
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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
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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
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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
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Sunghun Kim, E. James Whitehead Jr., Yi Zhang:
Classifying Software Changes: Clean or Buggy? IEEE Trans. Software Eng. 34(2): 181-196 (2008)
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Shay Artzi, Sunghun Kim, Michael D. Ernst:
ReCrash: Making Software Failures Reproducible by Preserving Object States. ECOOP 2008: 542-565
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Michele Lanza, Michael W. Godfrey, Sunghun Kim:
MSR 2008 - 5th working conference on mining software repositories. ICSE Companion 2008: 1037-1038
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Nicolas Bettenburg, Rahul Premraj, Thomas Zimmermann, Sunghun Kim:
Duplicate bug reports considered harmful ... really? ICSM 2008: 337-345
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Sunghun Kim, Thomas Zimmermann, E. James Whitehead Jr., Andreas Zeller:
Predicting faults from cached history. ISEC 2008: 15-16
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Nicolas Bettenburg, Rahul Premraj, Thomas Zimmermann, Sunghun Kim:
Extracting structural information from bug reports. MSR 2008: 27-30
2007
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Sunghun Kim, Thomas Zimmermann, E. James Whitehead Jr., Andreas Zeller:
Predicting Faults from Cached History. ICSE 2007: 489-498
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Sunghun Kim, Michael D. Ernst:
Prioritizing Warning Categories by Analyzing Software History. MSR 2007: 27
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Sunghun Kim, Michael D. Ernst:
Which warnings should I fix first? ESEC/SIGSOFT FSE 2007: 45-54
2006
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Sunghun Kim, E. James Whitehead Jr.:
Properties of Signature Change Patterns. ICSM 2006: 4-13
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Sunghun Kim, Thomas Zimmermann, Kai Pan, E. James Whitehead Jr.:
Automatic Identification of Bug-Introducing Changes. ASE 2006: 81-90
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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
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Sunghun Kim, Kai Pan, E. James Whitehead Jr.:
Micro pattern evolution. MSR 2006: 40-46
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Thomas Zimmermann, Sunghun Kim, Andreas Zeller, E. James Whitehead Jr.:
Mining version archives for co-changed lines. MSR 2006: 72-75
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Sunghun Kim, E. James Whitehead Jr.:
How long did it take to fix bugs? MSR 2006: 173-174
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Kai Pan, Sunghun Kim, E. James Whitehead Jr.:
Bug Classification Using Program Slicing Metrics. SCAM 2006: 31-42
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Sunghun Kim, Kai Pan, E. James Whitehead Jr.:
Memories of bug fixes. SIGSOFT FSE 2006: 35-45
2005
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Sunghun Kim, E. James Whitehead Jr., Jennifer Bevan:
Analysis of signature change patterns. ACM SIGSOFT Softw. Eng. Notes 30(4): 1-5 (2005)
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Sunghun Kim, E. James Whitehead Jr., Jennifer Bevan:
Analysis of signature change patterns. MSR 2005
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Jennifer Bevan, E. James Whitehead Jr., Sunghun Kim, Michael W. Godfrey:
Facilitating software evolution research with kenyon. ESEC/SIGSOFT FSE 2005: 177-186
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Sunghun Kim, Kai Pan, E. James Whitehead Jr.:
When Functions Change Their Names: Automatic Detection of Origin Relationships. WCRE 2005: 143-152
2004
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Sunghun Kim, E. James Whitehead Jr.:
Properties of academic paper references. Hypertext 2004: 44-45
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Sunghun Kim, Mark Slater, E. James Whitehead Jr.:
WebDAV-based hypertext annotation and trail system. Hypertext 2004: 87-88

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