| 2025 | EMNLP | MV-CLAM: Multi-View Molecular Interpretation with Cross-Modal Projection via Language Model. | Sumin Ha, Jun Hyeong Kim, Yinhua Piao, Changyun Cho, Sun Kim |
| 2025 | ICLR | CheapNet: Cross-attention on Hierarchical representations for Efficient protein-ligand binding Affinity Prediction. | Hyukjun Lim, Sun Kim, Sangseon Lee |
| 2025 | ICML | BounDr.E: Predicting Drug-likeness via Biomedical Knowledge Alignment and EM-like One-Class Boundary Optimization. | Dongmin Bang, Inyoung Sung, Yinhua Piao, Sangseon Lee, Sun Kim |
| 2025 | ICML | CombiMOTS: Combinatorial Multi-Objective Tree Search for Dual-Target Molecule Generation. | Thibaud Southiratn, Bonil Koo, Yijingxiu Lu, Sun Kim |
| 2025 | NAACL | Taxonomy and Analysis of Sensitive User Queries in Generative AI Search System. | Hwiyeol Jo, Taiwoo Park, Hyunwoo Lee, Nayoung Choi, Changbong Kim, Ohjoon Kwon, Donghyeon Jeon, Eui-Hyeon Lee, Kyoungho Shin, Sun Suk Lim, Kyungmi Kim, Jihye Lee, Sun Kim |
| 2024 | AAAI | DiSCO: Diffusion Schrdinger Bridge for Molecular Conformer Optimization. | Danyeong Lee, Dohoon Lee, Dongmin Bang, Sun Kim |
| 2024 | CVPR | Improving Out-of-Distribution Generalization in Graphs via Hierarchical Semantic Environments. | Yinhua Piao, Sangseon Lee, Yijingxiu Lu, Sun Kim |
| 2024 | EMNLP | SLM as Guardian: Pioneering AI Safety with Small Language Model. | Ohjoon Kwon, Donghyeon Jeon, Nayoung Choi, Gyu-Hwung Cho, Hwiyeol Jo, Changbong Kim, Hyunwoo Lee, Inho Kang, Sun Kim, Taiwoo Park |
| 2024 | ICLR | Enhancing Drug-Drug Interaction Prediction with Context-Aware Architecture. | Yijingxiu Lu, Yinhua Piao, Sun Kim |
| 2023 | ACL | Clinical Note Owns its Hierarchy: Multi-Level Hypergraph Neural Networks for Patient-Level Representation Learning. | Nayeon Kim, Yinhua Piao, Sun Kim |
| 2022 | AAAI | Sparse Structure Learning via Graph Neural Networks for Inductive Document Classification. | Yinhua Piao, Sangseon Lee, Dohoon Lee, Sun Kim |
| 2021 | AMIA | TeamTat: A Collaborative Text Annotation Tool for Creating Gold-Standard Corpora. | Rezarta Islamaj, Dongseop Kwon, Sun Kim, Zhiyong Lu |
| 2018 | IJCAI | Hybrid Approach of Relation Network and Localized Graph Convolutional Filtering for Breast Cancer Subtype Classification. | SungMin Rhee, Seokjun Seo, Sun Kim |
| 2018 | WWW | A Fast Deep Learning Model for Textual Relevance in Biomedical Information Retrieval. | Sunil Mohan, Nicolas Fiorini, Sun Kim, Zhiyong Lu |
| 2015 | EMNLP | Summarizing Topical Contents from PubMed Documents Using a Thematic Analysis. | Sun Kim, Lana Yeganova, W. John Wilbur |
| 2014 | AMIA | Extracting drug-drug interactions from literature using a rich feature-based linear kernel approach. | Sun Kim, Haibin Liu, Lana Yeganova, W. John Wilbur |
| 2012 | SMC | Discriminative spatial pattern vectors selection for motor imagery classification. | Kyeong-Yeon Lee, Sun Kim |
| 2011 | ICMLA | An EM Clustering Algorithm which Produces a Dual Representation. | Sun Kim, W. John Wilbur |
| 2009 | CEC | Evolving hypernetwork models of binary time series for forecasting price movements on stock markets. | Elena Bautu, Sun Kim, Andrei Bautu, Henri Luchian, Byoung-Tak Zhang |
| 2009 | GECCO | Evolutionary hypernetwork classifiers for protein-proteininteraction sentence filtering. | Jakramate Bootkrajang, Sun Kim, Byoung-Tak Zhang |
| 2008 | PSB | Predicting DNA Methylation Susceptibility Using CpG Flanking Sequences. | Sun Kim, Meng Li, Hyun-il Henry Paik, Kenneth P. Nephew, Huidong Shi, Robin Kramer, Dong Xu, Tim Hui-Ming Huang |
| 2007 | BIBE | Finding Cancer-Related Gene Combinations Using a Molecular Evolutionary Algorithm. | Chan-Hoon Park, Soo-Jin Kim, Sun Kim, Dong-Yeon Cho, Byoung-Tak Zhang |
| 2007 | CEC | Evolving hypernetwork classifiers for microRNA expression profile analysis. | Sun Kim, Soo-Jin Kim, Byoung-Tak Zhang |
| 2007 | ICMLA | CLASSEQ: Classification of Sequences via Comparative Analysis of Multiple Genomes. | Kwangmin Choi, Youngik Yang, Sun Kim |
| 2006 | CEC | Text Classifiers Evolved on a Simulated DNA Computer. | Sun Kim, Min-Oh Heo, Byoung-Tak Zhang |
| 2006 | ICDM | Genome Data Type: a Vehicle to Deliver a Genome Comparison System on the Web. | Kwangmin Choi, Amit Saple, Sun Kim |
| 2006 | ISNN | Prediction of the Human Papillomavirus Risk Types Using Gap-Spectrum Kernels. | Sun Kim, Jae-Hong Eom |
| 2006 | PAKDD | A Tree Kernel-Based Method for Protein-Protein Interaction Mining from Biomedical Literature. | Jae-Hong Eom, Sun Kim, Seong-Hwan Kim, Byoung-Tak Zhang |
| 2005 | ICNC | An Application of Support Vector Machines for Customer Churn Analysis: Credit Card Case. | Sun Kim, Kyung-shik Shin, Kyungdo Park |
| 2005 | KDD | Motif discovery for proteins using subsequence clustering. | Hardik A. Sheth, Sun Kim |
| 2004 | PRICAI | Multi-objective Evolutionary Probe Design Based on Thermodynamic Criteria for HPV Detection. | In-Hee Lee, Sun Kim, Byoung-Tak Zhang |
| 2004 | RECOMB | Multiple Genome Alignment by Clustering Pairwise Matches. | Jeong-Hyeon Choi, Kwangmin Choi, Hwan-Gue Cho, Sun Kim |
| 2004 | SAC | Guiding motif discovery by iterative pattern refinement. | Zhiping Wang, Mehmet M. Dalkilic, Sun Kim |
| 2001 | CEC | Evolutionary learning of Web-document structure for information retrieval. | Sun Kim, Byoung-Tak Zhang |
| 2001 | KDD | A probabilistic approach to sequence assembly validation. | Sun Kim, Li Liao, Jean-Franois Tomb |
| 2000 | PRICAI | Web-Document Retrieval by Genetic Learning of Importance Factors for HTML Tags. | Sun Kim, Byoung-Tak Zhang |
| 1994 | AAAI | ModGen: Theorem Proving by Model Generation. | Sun Kim, Hantao Zhang |