Sunghun Kim
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
61
Venues
29
Active years
2005–2026
Best venue rank
A*
Where they publish
- AMSR9 papers
- A*ICSE8 papers
- A*WWW4 papers
- A*SIGIR4 papers
- ACIKM4 papers
- A*ICLR3 papers
- A*AAAI3 papers
- A*CVPR2 papers
- ARecSys2 papers
- AECOOP2 papers
- AISSTA2 papers
- A*ACL1 paper
- NationalEPIA1 paper
- A*ICML1 paper
- AMICCAI1 paper
- A*ECCV1 paper
- AISSRE1 paper
- ANAACL1 paper
- AWSDM1 paper
- AInterspeech1 paper
- A*EMNLP1 paper
- A*IJCAI1 paper
- CAPCC1 paper
- ADSN1 paper
- A*ICDE1 paper
- BCOMPSAC1 paper
- A*SOSP1 paper
- BVTC1 paper
- CSCAM1 paper
Papers
61 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | ReflexiCoder: Teaching Large Language Models to Self-Reflect on Generated Code and Self-Correct It via Reinforcement Learning. | Juyong Jiang, Jiasi Shen, Sunghun Kim, Kang Min Yoo, Jeonghoon Kim, Sungju Kim |
| 2026 | WWW | DTRec: Learning Dynamic Reasoning Trajectories for Sequential Recommendation. | Yifan Shao, Peilin Zhou, Shoujin Wang, Weizhi Zhang, Sunghun Kim, Xu Cai |
| 2025 | EPIA | Driving Scene Context-Augmented Trajectory Prediction with Risk-Aware Decision Reasoning Using Multimodal LLM. | Sunghun Kim, Seokjun Hong, Joobin Jin, Byeongjoon Noh |
| 2025 | ICLR | KaSA: Knowledge-Aware Singular-Value Adaptation of Large Language Models. | Fan Wang, Juyong Jiang, Chansung Park, Sunghun Kim, Jing Tang |
| 2025 | ICML | Shortcut-connected Expert Parallelism for Accelerating Mixture of Experts. | Weilin Cai, Juyong Jiang, Le Qin, Junwei Cui, Sunghun Kim, Jiayi Huang |
| 2025 | MICCAI | Integrating Meta-analysis in Multi-modal Brain Studies with Graph-Based Attention Transformer. | Hyoungshin Choi, Sunghun Kim, Jong-eun Lee, Bo-yong Park, Hyunjin Park |
| 2025 | WWW | When Large Vision Language Models Meet Multimodal Sequential Recommendation: An Empirical Study. | 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 |
| 2024 | ECCV | LLaMAPed: Multi-modal Pedestrian Crossing Intention Prediction. | Je-Seok Ham, Sunghun Kim, Jia Huang, Peng Jiang, Jinyoung Moon, Srikanth Saripalli, Changick Kim |
| 2024 | ICLR | Foundation Model-oriented Robustness: Robust Image Model Evaluation with Pretrained Models. | Peiyan Zhang, Haoyang Liu, Chaozhuo Li, Xing Xie, Sunghun Kim, Haohan Wang |
| 2024 | ISSRE | CrashChecker: A Fusion Method for Clustering Duplicate Crash Failures in SAP HANA Delivery. | Yang Xu, Yong Li, Qiaoluan Xie, Xiaoxiao Zhang, Chao Liu, Thomas Bach, Sunghun Kim, Sanghun Kang |
| 2024 | NAACL | SOLAR 10.7B: Scaling Large Language Models with Simple yet Effective Depth Up-Scaling. | 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 |
| 2024 | WWW | High-Frequency-aware Hierarchical Contrastive Selective Coding for Representation Learning on Text Attributed Graphs. | Peiyan Zhang, Chaozhuo Li, Liying Kang, Feiran Huang, Senzhang Wang, Xing Xie, Sunghun Kim |
| 2024 | WWW | Is Contrastive Learning Necessary? A Study of Data Augmentation vs Contrastive Learning in Sequential Recommendation. | Peilin Zhou, You-Liang Huang, Yueqi Xie, Jingqi Gao, Shoujin Wang, Jae Boum Kim, Sunghun Kim |
| 2024 | SIGIR | TransGNN: Harnessing the Collaborative Power of Transformers and Graph Neural Networks for Recommender Systems. | Peiyan Zhang, Yuchen Yan, Xi Zhang, Chaozhuo Li, Senzhang Wang, Feiran Huang, Sunghun Kim |
| 2024 | SIGIR | GPT4Rec: Graph Prompt Tuning for Streaming Recommendation. | Peiyan Zhang, Yuchen Yan, Xi Zhang, Liying Kang, Chaozhuo Li, Feiran Huang, Senzhang Wang, Sunghun Kim |
| 2023 | CIKM | Enhancing the Robustness via Adversarial Learning and Joint Spatial-Temporal Embeddings in Traffic Forecasting. | Juyong Jiang, Binqing Wu, Ling Chen, Kai Zhang, Sunghun Kim |
| 2023 | CIKM | AdaMCT: Adaptive Mixture of CNN-Transformer for Sequential Recommendation. | Juyong Jiang, Peiyan Zhang, Yingtao Luo, Chaozhuo Li, Jae Boum Kim, Kai Zhang, Senzhang Wang, Xing Xie, Sunghun Kim |
| 2023 | CIKM | Attention Calibration for Transformer-based Sequential Recommendation. | Peilin Zhou, Qichen Ye, Yueqi Xie, Jingqi Gao, Shoujin Wang, Jae Boum Kim, Chenyu You, Sunghun Kim |
| 2023 | CVPR | DYNAFED: Tackling Client Data Heterogeneity with Global Dynamics. | Renjie Pi, Weizhong Zhang, Yueqi Xie, Jiahui Gao, Xiaoyu Wang, Sunghun Kim, Qifeng Chen |
| 2023 | RecSys | Rethinking Multi-Interest Learning for Candidate Matching in Recommender Systems. | Yueqi Xie, Jingqi Gao, Peilin Zhou, Qichen Ye, Yining Hua, Jae Boum Kim, Fangzhao Wu, Sunghun Kim |
| 2023 | RecSys | Equivariant Contrastive Learning for Sequential Recommendation. | Peilin Zhou, Jingqi Gao, Yueqi Xie, Qichen Ye, Yining Hua, Jaeboum Kim, Shoujin Wang, Sunghun Kim |
| 2023 | SIGIR | Continual Learning on Dynamic Graphs via Parameter Isolation. | Peiyan Zhang, Yuchen Yan, Chaozhuo Li, Senzhang Wang, Xing Xie, Guojie Song, Sunghun Kim |
| 2023 | WSDM | Efficiently Leveraging Multi-level User Intent for Session-based Recommendation via Atten-Mixer Network. | Peiyan Zhang, Jiayan Guo, Chaozhuo Li, Yueqi Xie, Jaeboum Kim, Yan Zhang, Xing Xie, Haohan Wang, Sunghun Kim |
| 2022 | CIKM | Evolutionary Preference Learning via Graph Nested GRU ODE for Session-based Recommendation. | Jiayan Guo, Peiyan Zhang, Chaozhuo Li, Xing Xie, Yan Zhang, Sunghun Kim |
| 2022 | SIGIR | Decoupled Side Information Fusion for Sequential Recommendation. | Yueqi Xie, Peilin Zhou, Sunghun Kim |
| 2021 | ECOOP | Do Bugs Propagate? An Empirical Analysis of Temporal Correlations Among Software Bugs. | Xiaodong Gu, Yo-Sub Han, Sunghun Kim, Hongyu Zhang |
| 2020 | Interspeech | ClovaCall: Korean Goal-Oriented Dialog Speech Corpus for Automatic Speech Recognition of Contact Centers. | 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 |
| 2019 | AAAI | Paraphrase Diversification Using Counterfactual Debiasing. | Sunghyun Park, Seung-won Hwang, Fuxiang Chen, Jaegul Choo, Jung-Woo Ha, Sunghun Kim, Jinyeong Yim |
| 2019 | EMNLP | NL2pSQL: Generating Pseudo-SQL Queries from Under-Specified Natural Language Questions. | Fuxiang Chen, Seung-won Hwang, Jaegul Choo, Jung-Woo Ha, Sunghun Kim |
| 2019 | ICLR | DialogWAE: Multimodal Response Generation with Conditional Wasserstein Auto-Encoder. | Xiaodong Gu, Kyunghyun Cho, Jung-Woo Ha, Sunghun Kim |
| 2018 | CVPR | StarGAN: Unified Generative Adversarial Networks for Multi-Domain Image-to-Image Translation. | Yunjey Choi, Minje Choi, Munyoung Kim, Jung-Woo Ha, Sunghun Kim, Jaegul Choo |
| 2018 | ICSE | Deep code search. | Xiaodong Gu, Hongyu Zhang, Sunghun Kim |
| 2017 | IJCAI | DeepAM: Migrate APIs with Multi-modal Sequence to Sequence Learning. | Xiaodong Gu, Hongyu Zhang, Dongmei Zhang, Sunghun Kim |
| 2015 | MSR | Partitioning Composite Code Changes to Facilitate Code Review. | Yida Tao, Sunghun Kim |
| 2014 | ISSTA | CrashLocator: locating crashing faults based on crash stacks. | Rongxin Wu, Hongyu Zhang, Shing-Chi Cheung, Sunghun Kim |
| 2013 | ICSE | Automatic patch generation learned from human-written patches. | Dongsun Kim, Jaechang Nam, Jaewoo Song, Sunghun Kim |
| 2013 | ICSE | Transfer defect learning. | Jaechang Nam, Sinno Jialin Pan, Sunghun Kim |
| 2012 | APCC | Call capacity model and QoS routing algorithms on multi-channel multi-radio wireless meshes. | Sunghun Kim, Myungln Ji, Joong Sao Ma |
| 2012 | MSR | The evolution of data races. | Caitlin Sadowski, Jaeheon Yi, Sunghun Kim |
| 2011 | AAAI | CosTriage: A Cost-Aware Triage Algorithm for Bug Reporting Systems. | Jin-Woo Park, Mu-Woong Lee, Jinhan Kim, Seung-won Hwang, Sunghun Kim |
| 2011 | DSN | Crash graphs: An aggregated view of multiple crashes to improve crash triage. | Sunghun Kim, Thomas Zimmermann, Nachiappan Nagappan |
| 2011 | ICDE | Integrating code search into the development session. | Mu-Woong Lee, Seung-won Hwang, Sunghun Kim |
| 2011 | ICSE | An empirical investigation into the role of API-level refactorings during software evolution. | Miryung Kim, Dongxiang Cai, Sunghun Kim |
| 2011 | ICSE | MeCC: memory comparison-based clone detector. | Heejung Kim, Yungbum Jung, Sunghun Kim, Kwangkeun Yi |
| 2011 | ICSE | Dealing with noise in defect prediction. | Sunghun Kim, Hongyu Zhang, Rongxin Wu, Liang Gong |
| 2010 | AAAI | Towards an Intelligent Code Search Engine. | Jinhan Kim, Sanghoon Lee, Seung-won Hwang, Sunghun Kim |
| 2010 | ISSTA | OCAT: object capture-based automated testing. | Hojun Jaygarl, Sunghun Kim, Tao Xie, Carl K. Chang |
| 2009 | COMPSAC | Practical Extensions of a Randomized Testing Tool. | Hojun Jaygarl, Carl K. Chang, Sunghun Kim |
| 2009 | SOSP | Automatically patching errors in deployed software. | 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 |
| 2008 | ECOOP | ReCrash: Making Software Failures Reproducible by Preserving Object States. | Shay Artzi, Sunghun Kim, Michael D. Ernst |
| 2008 | ICSE | MSR 2008 - 5th working conference on mining software repositories. | Michele Lanza, Michael W. Godfrey, Sunghun Kim |
| 2008 | MSR | Extracting structural information from bug reports. | Nicolas Bettenburg, Rahul Premraj, Thomas Zimmermann, Sunghun Kim |
| 2008 | VTC | Spatial Reuse DCF for Enhancing Throughput and Performance Analysis. | Sunghun Kim, Jongsub Cha, Joongsoo Ma |
| 2007 | ICSE | Predicting Faults from Cached History. | Sunghun Kim, Thomas Zimmermann, E. James Whitehead Jr., Andreas Zeller |
| 2007 | MSR | Prioritizing Warning Categories by Analyzing Software History. | Sunghun Kim, Michael D. Ernst |
| 2006 | MSR | Micro pattern evolution. | Sunghun Kim, Kai Pan, E. James Whitehead Jr. |
| 2006 | MSR | How long did it take to fix bugs? | Sunghun Kim, E. James Whitehead Jr. |
| 2006 | MSR | TA-RE: an exchange language for mining software repositories. | Sunghun Kim, Thomas Zimmermann, Miryung Kim, Ahmed E. Hassan, Audris Mockus, Tudor Grba, Martin Pinzger, E. James Whitehead Jr., Andreas Zeller |
| 2006 | MSR | Mining version archives for co-changed lines. | Thomas Zimmermann, Sunghun Kim, Andreas Zeller, E. James Whitehead Jr. |
| 2006 | SCAM | Bug Classification Using Program Slicing Metrics. | Kai Pan, Sunghun Kim, E. James Whitehead Jr. |
| 2005 | MSR | Analysis of signature change patterns. | Sunghun Kim, E. James Whitehead Jr., Jennifer Bevan |