Sunghun Kim

2025

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

Proceedings of the ACM on Web Conference 2025, WWW 2025, Sydney, NSW, Australia, 28 April 2025- 2 May 2025

2024

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

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2024, Washington DC, USA, July 14-18, 2024

GPT4Rec: Graph Prompt Tuning for Streaming Recommendation.

Peiyan Zhang|Yuchen Yan|Xi Zhang|Liying Kang|Chaozhuo Li|Feiran Huang|Senzhang Wang|Sunghun Kim

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2024, Washington DC, USA, July 14-18, 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|Sunghun Kim

Proceedings of the ACM on Web Conference 2024, WWW 2024, Singapore, May 13-17, 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

Proceedings of the ACM on Web Conference 2024, WWW 2024, Singapore, May 13-17, 2024

2023

Enhancing the Robustness via Adversarial Learning and Joint Spatial-Temporal Embeddings in Traffic Forecasting.

Juyong Jiang|Binqing Wu|Ling Chen|Kai Zhang|Sunghun Kim

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, CIKM 2023, Birmingham, United Kingdom, October 21-25, 2023

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

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, CIKM 2023, Birmingham, United Kingdom, October 21-25, 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

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, CIKM 2023, Birmingham, United Kingdom, October 21-25, 2023

Continual Learning on Dynamic Graphs via Parameter Isolation.

Peiyan Zhang|Yuchen Yan|Chaozhuo Li|Senzhang Wang|Xing Xie|Guojie Song|Sunghun Kim

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2023, Taipei, Taiwan, July 23-27, 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|Haohan Wang|Sunghun Kim

Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, WSDM 2023, Singapore, 27 February 2023 - 3 March 2023.

2022

Evolutionary Preference Learning via Graph Nested GRU ODE for Session-based Recommendation.

Jiayan Guo|Peiyan Zhang|Chaozhuo Li|Xing Xie|Yan Zhang|Sunghun Kim

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, Atlanta, GA, USA, October 17-21, 2022

Decoupled Side Information Fusion for Sequential Recommendation.

Yueqi Xie|Peilin Zhou|Sunghun Kim

SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11 - 15, 2022

2013

Enriching Documents with Examples: A Corpus Mining Approach.

Jinhan Kim|Sanghoon Lee|Seung-won Hwang|Sunghun Kim

ACM Transactions on Information Systems (TOIS) 2013 Volume 31 Issue 1

2009

Proceeding of the ACM First International Workshop on Data-Intensive Software Management and Mining, CIKM-DSMM 2009, Hong Kong, China, November 6, 2009

International Conference on Information and Knowledge Management (CIKM) 2009