WebDAV-based hypertext annotation and trail system. - Sunghun Kim 001; Mark Slater; E. James Whitehead Jr. (Hypertext, 2004)

Properties of academic paper references. - Sunghun Kim 001; E. James Whitehead Jr. (Hypertext, 2004)

Facilitating software evolution research with kenyon. - Jennifer Bevan; E. James Whitehead Jr.; Sunghun Kim 001; Michael W. Godfrey (ESEC/SIGSOFT FSE, 2005)

When Functions Change Their Names: Automatic Detection of Origin Relationships. - Sunghun Kim 001; Kai Pan; E. James Whitehead Jr. (WCRE, 2005)

Analysis of signature change patterns. - Sunghun Kim 001; E. James Whitehead Jr.; Jennifer Bevan (ACM SIGSOFT Softw. Eng. Notes, 2005)

Properties of Signature Change Patterns. - Sunghun Kim 001; E. James Whitehead Jr. (ICSM, 2006)

Automatic Identification of Bug-Introducing Changes. - Sunghun Kim 001; Thomas Zimmermann 001; Kai Pan; E. James Whitehead Jr. (ASE, 2006)

Micro pattern evolution. - Sunghun Kim 001; Kai Pan; E. James Whitehead Jr. (MSR, 2006)

How long did it take to fix bugs? - Sunghun Kim 001; E. James Whitehead Jr. (MSR, 2006)

TA-RE: an exchange language for mining software repositories. - Sunghun Kim 001; Thomas Zimmermann 001; Miryung Kim; Ahmed E. Hassan; Audris Mockus; Tudor Gîrba; Martin Pinzger 001; E. James Whitehead Jr.; Andreas Zeller (MSR, 2006)

Mining version archives for co-changed lines. - Thomas Zimmermann 001; Sunghun Kim 001; Andreas Zeller; E. James Whitehead Jr. (MSR, 2006)

Bug Classification Using Program Slicing Metrics. - Kai Pan; Sunghun Kim 001; E. James Whitehead Jr. (SCAM, 2006)

Memories of bug fixes. - Sunghun Kim 001; Kai Pan; E. James Whitehead Jr. (SIGSOFT FSE, 2006)

Prioritizing Warning Categories by Analyzing Software History. - Sunghun Kim 001; Michael D. Ernst (MSR, 2007)

Which warnings should I fix first? - Sunghun Kim 001; Michael D. Ernst (ESEC/SIGSOFT FSE, 2007)

ReCrash: Making Software Failures Reproducible by Preserving Object States. - Shay Artzi; Sunghun Kim 001; Michael D. Ernst (ECOOP, 2008)

MSR 2008 - 5th working conference on mining software repositories. - Michele Lanza 001; Michael W. Godfrey; Sunghun Kim 001 (ICSE Companion, 2008)

Duplicate bug reports considered harmful ... really? - Nicolas Bettenburg; Rahul Premraj; Thomas Zimmermann 001; Sunghun Kim 001 (ICSM, 2008)

Predicting faults from cached history. - Sunghun Kim 001; Thomas Zimmermann 001; E. James Whitehead Jr.; Andreas Zeller (ISEC, 2008)

Extracting structural information from bug reports. - Nicolas Bettenburg; Rahul Premraj; Thomas Zimmermann 001; Sunghun Kim 001 (MSR, 2008)

Classifying Software Changes: Clean or Buggy? - Sunghun Kim 001; E. James Whitehead Jr.; Yi Zhang 001 (IEEE Trans. Software Eng., 2008)

Practical Extensions of a Randomized Testing Tool. - Hojun Jaygarl; Carl K. Chang; Sunghun Kim 001 (COMPSAC (1), 2009)

Kenyon-web: Reconfigurable web-based feature extractor. - Sunghun Kim 001; Shivkumar Shivaji; E. James Whitehead Jr. (ICPC, 2009)

Adding Examples into Java Documents. - Jinhan Kim; Sanghoon Lee; Seung-won Hwang; Sunghun Kim 001 (ASE, 2009)

Reducing Features to Improve Bug Prediction. - Shivkumar Shivaji; E. James Whitehead Jr.; Ram Akella; Sunghun Kim 001 (ASE, 2009)

ReCrashJ: a tool for capturing and reproducing program crashes in deployed applications. - Shay Artzi; Sunghun Kim 001; Michael D. Ernst (ESEC/SIGSOFT FSE, 2009)

Improving bug triage with bug tossing graphs. - Gaeul Jeong; Sunghun Kim 001; Thomas Zimmermann 001 (ESEC/SIGSOFT FSE, 2009)

Automatically patching errors in deployed software. - Jeff H. Perkins; Sunghun Kim 001; Samuel Larsen; Saman P. Amarasinghe; Jonathan Bachrach; Michael Carbin; Carlos Pacheco; Frank Sherwood; Stelios Sidiroglou; Gregory T. Sullivan; Weng-Fai Wong; Yoav Zibin; et al. (SOSP, 2009)

Toward an understanding of bug fix patterns. - Kai Pan; Sunghun Kim 001; E. James Whitehead Jr. (Empir. Softw. Eng., 2009)

Towards an Intelligent Code Search Engine. - Jinhan Kim; Sanghoon Lee; Seung-won Hwang; Sunghun Kim 001 (AAAI, 2010)

OCAT: object capture-based automated testing. - Hojun Jaygarl; Sunghun Kim 001; Tao Xie 001; Carl K. Chang (ISSTA, 2010)

Instant code clone search. - Mu-Woong Lee; Jong-Won Roh; Seung-won Hwang; Sunghun Kim 001 (SIGSOFT FSE, 2010)

Monitoring Software Quality Evolution for Defects. - Hongyu Zhang 002; Sunghun Kim 001 (IEEE Softw., 2010)

CosTriage: A Cost-Aware Triage Algorithm for Bug Reporting Systems. - Jin-Woo Park; Mu-Woong Lee; Jinhan Kim; Seung-won Hwang; Sunghun Kim 001 (AAAI, 2011)

Crash graphs: An aggregated view of multiple crashes to improve crash triage. - Sunghun Kim 001; Thomas Zimmermann 001; Nachiappan Nagappan (DSN, 2011)

Integrating code search into the development session. - Mu-Woong Lee; Seung-won Hwang; Sunghun Kim 001 (ICDE, 2011)

An empirical investigation into the role of API-level refactorings during software evolution. - Miryung Kim; Dongxiang Cai; Sunghun Kim 001 (ICSE, 2011)

MeCC: memory comparison-based clone detector. - Heejung Kim; Yungbum Jung; Sunghun Kim 001; Kwangkeun Yi (ICSE, 2011)

Dealing with noise in defect prediction. - Sunghun Kim 001; Hongyu Zhang 002; Rongxin Wu; Liang Gong (ICSE, 2011)

Understanding a developer social network and its evolution. - Qiaona Hong; Sunghun Kim 001; Shing-Chi Cheung; Christian Bird (ICSM, 2011)

Micro interaction metrics for defect prediction. - Taek Lee; Jaechang Nam; DongGyun Han; Sunghun Kim 001; Hoh Peter In (SIGSOFT FSE, 2011)

ReLink: recovering links between bugs and changes. - Rongxin Wu; Hongyu Zhang 002; Sunghun Kim 001; Shing-Chi Cheung (SIGSOFT FSE, 2011)

Challenges in Automatic Testing. - Sunghun Kim 001; Ning Chen (SSIRI (Companion), 2011)

Which Crashes Should I Fix First?: Predicting Top Crashes at an Early Stage to Prioritize Debugging Efforts. - Dongsun Kim 001; Xinming Wang; Sunghun Kim 001; Andreas Zeller; Shing-Chi Cheung; Sooyong Park (IEEE Trans. Software Eng., 2011)

Puzzle-based automatic testing: bringing humans into the loop by solving puzzles. - Ning Chen; Sunghun Kim 001 (ASE, 2012)

Predicting recurring crash stacks. - Hyunmin Seo; Sunghun Kim 001 (ASE, 2012)

The evolution of data races. - Caitlin Sadowski; Jaeheon Yi; Sunghun Kim 001 (MSR, 2012)

Defect, defect, defect: defect prediction 2.0. - Sunghun Kim 001 (PROMISE, 2012)

How do software engineers understand code changes?: an exploratory study in industry. - Yida Tao; Yingnong Dang; Tao Xie 001; Dongmei Zhang 001; Sunghun Kim 001 (SIGSOFT FSE, 2012)

Automatic patch generation learned from human-written patches. - Dongsun Kim 001; Jaechang Nam; Jaewoo Song; Sunghun Kim 001 (ICSE, 2013)

Transfer defect learning. - Jaechang Nam; Sinno Jialin Pan; Sunghun Kim 001 (ICSE, 2013)

Predicting method crashes with bytecode operations. - Sunghun Kim 001; Thomas Zimmermann 001; Rahul Premraj; Nicolas Bettenburg; Shivkumar Shivaji (ISEC, 2013)

Personalized defect prediction. - Tian Jiang; Lin Tan 001; Sunghun Kim 001 (ASE, 2013)

Report from 2nd international workshop on developing tools as plug-ins (TOPI 2012). - Diego Garbervetsky; Sunghun Kim 001 (ACM SIGSOFT Softw. Eng. Notes, 2013)

Roundtable: What's Next in Software Analytics. - Ahmed E. Hassan; Abram Hindle; Per Runeson; Martin J. Shepperd; Premkumar T. Devanbu; Sunghun Kim 001 (IEEE Softw., 2013)

Enriching Documents with Examples: A Corpus Mining Approach. - Jinhan Kim; Sanghoon Lee; Seung-won Hwang; Sunghun Kim 001 (ACM Trans. Inf. Syst., 2013)

Where Should We Fix This Bug? A Two-Phase Recommendation Model. - Dongsun Kim 001; Yida Tao; Sunghun Kim 001; Andreas Zeller (IEEE Trans. Software Eng., 2013)

Reducing Features to Improve Code Change-Based Bug Prediction. - Shivkumar Shivaji; E. James Whitehead Jr.; Ram Akella; Sunghun Kim 001 (IEEE Trans. Software Eng., 2013)

Writing Acceptable Patches: An Empirical Study of Open Source Project Patches. - Yida Tao; DongGyun Han; Sunghun Kim 001 (ICSME, 2014)

CrashLocator: locating crashing faults based on crash stacks. - Rongxin Wu; Hongyu Zhang 002; Shing-Chi Cheung; Sunghun Kim 001 (ISSTA, 2014)

How we get there: a context-guided search strategy in concolic testing. - Hyunmin Seo; Sunghun Kim 001 (SIGSOFT FSE, 2014)

Automatically generated patches as debugging aids: a human study. - Yida Tao; Jindae Kim 001; Sunghun Kim 001; Chang Xu 001 (SIGSOFT FSE, 2014)

Locating Crashing Faults based on Crash Stack Traces. - Liang Gong; Hongyu Zhang 002; Hyunmin Seo; Sunghun Kim 001 (CoRR, 2014)

Surfacing code in the dark: an instant clone search approach. - Jin-Woo Park; Mu-Woong Lee; Jong-Won Roh; Seung-won Hwang; Sunghun Kim 001 (Knowl. Inf. Syst., 2014)

Developing tools as plug-ins: TOPI 2012 special issue. - Diego Garbervetsky; Sunghun Kim 001 (Softw. Pract. Exp., 2014)

"What Parts of Your Apps are Loved by Users?" (T). - Xiaodong Gu 002; Sunghun Kim 001 (ASE, 2015)

CLAMI: Defect Prediction on Unlabeled Datasets (T). - Jaechang Nam; Sunghun Kim 001 (ASE, 2015)

Partitioning Composite Code Changes to Facilitate Code Review. - Yida Tao; Sunghun Kim 001 (MSR, 2015)

Crowd debugging. - Fuxiang Chen; Sunghun Kim 001 (ESEC/SIGSOFT FSE, 2015)

REMI: defect prediction for efficient API testing. - Mijung Kim; Jaechang Nam; Jaehyuk Yeon; Soonhwang Choi; Sunghun Kim 001 (ESEC/SIGSOFT FSE, 2015)

Heterogeneous defect prediction. - Jaechang Nam; Sunghun Kim 001 (ESEC/SIGSOFT FSE, 2015)

Crowdsourcing Identification of License Violations. - Sanghoon Lee; Daniel M. Germán; Seung-won Hwang; Sunghun Kim 001 (J. Comput. Sci. Eng., 2015)

STAR: Stack Trace Based Automatic Crash Reproduction via Symbolic Execution. - Ning Chen; Sunghun Kim 001 (IEEE Trans. Software Eng., 2015)

The Impact of View Histories on Edit Recommendations. - Seonah Lee 001; Sungwon Kang; Sunghun Kim 001; Matthew Staats (IEEE Trans. Software Eng., 2015)

Deep API learning. - Xiaodong Gu 002; Hongyu Zhang 002; Dongmei Zhang 001; Sunghun Kim 001 (SIGSOFT FSE, 2016)

Development nature matters: An empirical study of code clones in JavaScript applications. - Wai Ting Cheung; Sukyoung Ryu; Sunghun Kim 001 (Empir. Softw. Eng., 2016)

Guest editorial: Special section on mining software repositories. - Massimiliano Di Penta; Sunghun Kim 001 (Empir. Softw. Eng., 2016)

Guest editorial: mining software repositories. - Martin Pinzger 001; Sunghun Kim 001 (Empir. Softw. Eng., 2016)

Cost-aware triage ranking algorithms for bug reporting systems. - Jin-Woo Park; Mu-Woong Lee; Jinhan Kim; Seung-won Hwang; Sunghun Kim 001 (Knowl. Inf. Syst., 2016)

Connecting and Serving the Software Engineering Community. - Matthew B. Dwyer; Eric Bodden; Brian Fitzgerald 001; Miryung Kim; Sunghun Kim 001; Amy J. Ko; Emilia Mendes; Raffaela Mirandola; Ana Moreira 001; Forrest Shull; Stephen F. Siegel; Tao Xie 001; et al. (IEEE Trans. Software Eng., 2016)

Developer Micro Interaction Metrics for Software Defect Prediction. - Taek Lee; Jaechang Nam; DongGyun Han; Sunghun Kim 001; Hoh Peter In (IEEE Trans. Software Eng., 2016)

DeepAM: Migrate APIs with Multi-modal Sequence to Sequence Learning. - Xiaodong Gu 002; Hongyu Zhang 002; Dongmei Zhang 001; Sunghun Kim 001 (IJCAI, 2017)

Automatic Music Highlight Extraction using Convolutional Recurrent Attention Networks. - Jung-Woo Ha 001; Adrian Kim; Chanju Kim; Jangyeon Park; Sunghun Kim 001 (CoRR, 2017)

NSML: A Machine Learning Platform That Enables You to Focus on Your Models. - Nako Sung; Minkyu Kim; Hyunwoo Jo; Youngil Yang; Jingwoong Kim; Leonard Lausen; Youngkwan Kim; Gayoung Lee; Dong-Hyun Kwak; Jung-Woo Ha 001; Sunghun Kim 001 (CoRR, 2017)

Automated Program Repair (Dagstuhl Seminar 17022). - Sunghun Kim 001; Claire Le Goues; Michael Pradel; Abhik Roychoudhury (Dagstuhl Reports, 2017)

Exploring How Software Developers Work with Mention Bot in GitHub. - Zhenhui Peng; Jeehoon Yoo; Meng Xia 002; Sunghun Kim 001; Xiaojuan Ma (CCHI, 2018)

StarGAN: Unified Generative Adversarial Networks for Multi-Domain Image-to-Image Translation. - Yunjey Choi; Minje Choi; Munyoung Kim; Jung-Woo Ha 001; Sunghun Kim 001; Jaegul Choo (CVPR, 2018)

Deep code search. - Xiaodong Gu 002; Hongyu Zhang 002; Sunghun Kim 001 (ICSE, 2018)

Which generated test failures are fault revealing? prioritizing failures based on inferred precondition violations using PAF. - Mijung Kim; Shing-Chi Cheung; Sunghun Kim 001 (ESEC/SIGSOFT FSE, 2018)

Heterogeneous Defect Prediction. - Jaechang Nam; Wei Fu 002; Sunghun Kim 001; Tim Menzies; Lin Tan 001 (IEEE Trans. Software Eng., 2018)

Paraphrase Diversification Using Counterfactual Debiasing. - Sunghyun Park 005; Seung-won Hwang; Fuxiang Chen; Jaegul Choo; Jung-Woo Ha 001; Sunghun Kim 001; Jinyeong Yim (AAAI, 2019)

InSPeCT: Iterated Local Search for Solving Path Conditions. - Fuxiang Chen; Aldy Gunawan; David Lo 001; Sunghun Kim 001 (CASE, 2019)

NL2pSQL: Generating Pseudo-SQL Queries from Under-Specified Natural Language Questions. - Fuxiang Chen; Seung-won Hwang; Jaegul Choo; Jung-Woo Ha 001; Sunghun Kim 001 (EMNLP/IJCNLP (1), 2019)

DialogWAE: Multimodal Response Generation with Conditional Wasserstein Auto-Encoder. - Xiaodong Gu 002; Kyunghyun Cho; Jung-Woo Ha 001; Sunghun Kim 001 (ICLR (Poster), 2019)

CodeKernel: A Graph Kernel Based Approach to the Selection of API Usage Examples. - Xiaodong Gu 002; Hongyu Zhang 002; Sunghun Kim 001 (ASE, 2019)

Automatic patch generation with context-based change application. - Jindae Kim 001; Sunghun Kim 001 (Empir. Softw. Eng., 2019)

ClovaCall: Korean Goal-Oriented Dialog Speech Corpus for Automatic Speech Recognition of Contact Centers. - Jung-Woo Ha 001; Kihyun Nam; Jingu Kang; Sang-Woo Lee 001; Sohee Yang; Hyunhoon Jung; Hyeji Kim; Eunmi Kim; Soojin Kim; Hyun Ah Kim; Kyoungtae Doh; Chan Kyu Lee; et al. (INTERSPEECH, 2020)

ClovaCall: Korean Goal-Oriented Dialog Speech Corpus for Automatic Speech Recognition of Contact Centers. - Jung-Woo Ha 001; Kihyun Nam; Jin-Gu Kang; Sang-Woo Lee 001; Sohee Yang; Hyunhoon Jung; Eunmi Kim; Hyeji Kim; Soojin Kim; Hyun Ah Kim; Kyoungtae Doh; Chan Kyu Lee; et al. (CoRR, 2020)

The effectiveness of context-based change application on automatic program repair. - Jindae Kim 001; Jeongho Kim 005; Eunseok Lee 001; Sunghun Kim 001 (Empir. Softw. Eng., 2020)

Do Bugs Propagate? An Empirical Analysis of Temporal Correlations Among Software Bugs. - Xiaodong Gu 002; Yo-Sub Han; Sunghun Kim 001; Hongyu Zhang 002 (ECOOP, 2021)

Sequential Recommendation with Bidirectional Chronological Augmentation of Transformer. - Juyong Jiang; Yingtao Luo; Jae Boum Kim; Kai Zhang 038; Sunghun Kim 001 (CoRR, 2021)

Evolutionary Preference Learning via Graph Nested GRU ODE for Session-based Recommendation. - Jiayan Guo; Peiyan Zhang; Chaozhuo Li; Xing Xie 001; Yan Zhang; Sunghun Kim 001 (CIKM, 2022)

Decoupled Side Information Fusion for Sequential Recommendation. - Yueqi Xie; Peilin Zhou; Sunghun Kim 001 (SIGIR, 2022)

AdaMCT: Adaptive Mixture of CNN-Transformer for Sequential Recommendation. - Juyong Jiang; Jae Boum Kim; Yingtao Luo; Kai Zhang 038; Sunghun Kim 001 (CoRR, 2022)

Dynamic Adaptive and Adversarial Graph Convolutional Network for Traffic Forecasting. - Juyong Jiang; Binqing Wu; Ling Chen 001; Sunghun Kim 001 (CoRR, 2022)

Equivariant Contrastive Learning for Sequential Recommendation. - Peilin Zhou; Jingqi Gao; Yueqi Xie; Qichen Ye; Yining Hua; Sunghun Kim 001 (CoRR, 2022)

Robust Federated Learning against both Data Heterogeneity and Poisoning Attack via Aggregation Optimization. - Yueqi Xie; Weizhong Zhang; Renjie Pi; Fangzhao Wu; Qifeng Chen; Xing Xie 001; Sunghun Kim 001 (CoRR, 2022)

Enhancing the Robustness via Adversarial Learning and Joint Spatial-Temporal Embeddings in Traffic Forecasting. - Juyong Jiang; Binqing Wu; Ling Chen 001; Kai Zhang 038; Sunghun Kim 001 (CIKM, 2023)

AdaMCT: Adaptive Mixture of CNN-Transformer for Sequential Recommendation. - Juyong Jiang; Peiyan Zhang; Yingtao Luo; Chaozhuo Li; Jae Boum Kim; Kai Zhang 038; Senzhang Wang; Xing Xie 001; Sunghun Kim 001 (CIKM, 2023)

Attention Calibration for Transformer-based Sequential Recommendation. - Peilin Zhou; Qichen Ye; Yueqi Xie; Jingqi Gao; Shoujin Wang; Jae Boum Kim; Chenyu You; Sunghun Kim 001 (CIKM, 2023)

DYNAFED: Tackling Client Data Heterogeneity with Global Dynamics. - Renjie Pi; Weizhong Zhang; Yueqi Xie; Jiahui Gao; Xiaoyu Wang; Sunghun Kim 001; Qifeng Chen (CVPR, 2023)

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 001 (RecSys, 2023)

Equivariant Contrastive Learning for Sequential Recommendation. - Peilin Zhou; Jingqi Gao; Yueqi Xie; Qichen Ye; Yining Hua; Jaeboum Kim; Shoujin Wang; Sunghun Kim 001 (RecSys, 2023)

Continual Learning on Dynamic Graphs via Parameter Isolation. - Peiyan Zhang; Yuchen Yan; Chaozhuo Li; Senzhang Wang; Xing Xie 001; Guojie Song; Sunghun Kim 001 (SIGIR, 2023)

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 001; Haohan Wang; Sunghun Kim 001 (WSDM, 2023)

A Survey on Incremental Update for Neural Recommender Systems. - Peiyan Zhang; Sunghun Kim 001 (CoRR, 2023)

Can Transformer and GNN Help Each Other? - Peiyan Zhang; Yuchen Yan; Chaozhuo Li; Senzhang Wang; Xing Xie 001; Sunghun Kim 001 (CoRR, 2023)

Foundation Model-oriented Robustness: Robust Image Model Evaluation with Pretrained Models. - Peiyan Zhang; Haoyang Liu 001; Chaozhuo Li; Xing Xie 001; Sunghun Kim 001; Haohan Wang (ICLR, 2024)

SOLAR 10.7B: Scaling Large Language Models with Simple yet Effective Depth Up-Scaling. - Sanghoon Kim; Dahyun Kim 001; Chanjun Park; Wonsung Lee; Wonho Song; Yunsu Kim 004; Hyeonwoo Kim; Yungi Kim; Hyeonju Lee; Jihoo Kim; Changbae Ahn; Seonghoon Yang; et al. (NAACL (Industry Track), 2024)

TransGNN: Harnessing the Collaborative Power of Transformers and Graph Neural Networks for Recommender Systems. - Peiyan Zhang; Yuchen Yan; Xi Zhang 008; Chaozhuo Li; Senzhang Wang; Feiran Huang; Sunghun Kim 001 (SIGIR, 2024)

GPT4Rec: Graph Prompt Tuning for Streaming Recommendation. - Peiyan Zhang; Yuchen Yan; Xi Zhang 008; Liying Kang; Chaozhuo Li; Feiran Huang; Senzhang Wang; Sunghun Kim 001 (SIGIR, 2024)

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 001; Sunghun Kim 001 (WWW, 2024)

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 001 (WWW, 2024)

When Large Vision Language Models Meet Multimodal Sequential Recommendation: An Empirical Study. - Peilin Zhou; Chao Liu 001; Jing Ren 010; Xinfeng Zhou; Yueqi Xie; Meng Cao 002; Zhongtao Rao; You-Liang Huang; Dading Chong; Junling Liu; Jae Boum Kim; Shoujin Wang; et al. (WWW, 2025)

Improving Sequential Recommendations via Bidirectional Temporal Data Augmentation With Pre-Training. - Juyong Jiang; Peiyan Zhang; Yingtao Luo; Chaozhuo Li; Jae Boum Kim; Kai Zhang 038; Senzhang Wang; Sunghun Kim 001; Philip S. Yu (IEEE Trans. Knowl. Data Eng., 2025)