Sungchul Kim
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
88
Venues
23
Active years
2009–2026
Best venue rank
A*
Where they publish
- A*WWW15 papers
- ACIKM15 papers
- A*ACL8 papers
- A*EMNLP8 papers
- A*KDD8 papers
- ANAACL6 papers
- A*CHI4 papers
- AWSDM4 papers
- NationalRANLP3 papers
- BPAKDD2 papers
- A*ICML2 papers
- A*ICLR2 papers
- A*AAAI1 paper
- AEACL1 paper
- BCogSci1 paper
- MulticonferenceICASSP1 paper
- BICMI1 paper
- BINLG1 paper
- CISM1 paper
- ARecSys1 paper
- AWACV1 paper
- AICWSM1 paper
- A*ICDM1 paper
Papers
88 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | VipAct: Visual-Perception Enhancement via Specialized VLM Agent Collaboration and Tool-use. | Zhehao Zhang, Ryan A. Rossi, Tong Yu, Franck Dernoncourt, Ruiyi Zhang, Jiuxiang Gu, Sungchul Kim, Xiang Chen, Zichao Wang, Nedim Lipka |
| 2026 | EACL | A Survey on LLM-based Conversational User Simulation. | Bo Ni, Yu Wang, Leyao Wang, Branislav Kveton, Franck Dernoncourt, Yu Xia, Hongjie Chen, Reuben Luera, Samyadeep Basu, Subhojyoti Mukherjee, Puneet Mathur, Nesreen K. Ahmed, Junda Wu, Li Li, Huixin Zhang, Ruiyi Zhang, Tong Yu, Sungchul Kim, Jiuxiang Gu, Zhengzhong Tu, Alexa F. Siu, Zichao Wang, Seunghyun Yoon, Nedim Lipka, Namyong Park, Zihao Lin, Trung Bui, Yue Zhao, Tyler Derr, Ryan A. Rossi |
| 2026 | PAKDD | Federated Large Language Models: Current Progress and Future Directions. | Yuhang Yao, Jianyi Zhang, Junda Wu, Chengkai Huang, Yu Xia, Tong Yu, Ruiyi Zhang, Sungchul Kim, Ryan Rossi, Ang Li, Lina Yao, Julian J. McAuley, Yiran Chen, Carlee Joe-Wong |
| 2026 | WWW | Multi-Agent Collaborative Filtering: Orchestrating Users and Items for Agentic Recommendations. | Yu Xia, Sungchul Kim, Tong Yu, Ryan A. Rossi, Julian J. McAuley |
| 2025 | ACL | GUI Agents: A Survey. | Dang Nguyen, Jian Chen, Yu Wang, Gang Wu, Namyong Park, Zhengmian Hu, Hanjia Lyu, Junda Wu, Ryan Aponte, Yu Xia, Xintong Li, Jing Shi, Hongjie Chen, Viet Dac Lai, Zhouhang Xie, Sungchul Kim, Ruiyi Zhang, Tong Yu, Md. Mehrab Tanjim, Nesreen K. Ahmed, Puneet Mathur, Seunghyun Yoon, Lina Yao, Branislav Kveton, Jihyung Kil, Thien Huu Nguyen, Trung Bui, Tianyi Zhou, Ryan A. Rossi, Franck Dernoncourt |
| 2025 | ACL | Doc-React: Multi-page Heterogeneous Document Question-answering. | Junda Wu, Yu Xia, Tong Yu, Xiang Chen, Sai Sree Harsha, Akash V. Maharaj, Ruiyi Zhang, Victor S. Bursztyn, Sungchul Kim, Ryan A. Rossi, Julian J. McAuley, Yunyao Li, Ritwik Sinha |
| 2025 | ACL | From Selection to Generation: A Survey of LLM-based Active Learning. | Yu Xia, Subhojyoti Mukherjee, Zhouhang Xie, Junda Wu, Xintong Li, Ryan Aponte, Hanjia Lyu, Joe Barrow, Hongjie Chen, Franck Dernoncourt, Branislav Kveton, Tong Yu, Ruiyi Zhang, Jiuxiang Gu, Nesreen K. Ahmed, Yu Wang, Xiang Chen, Hanieh Deilamsalehy, Sungchul Kim, Zhengmian Hu, Yue Zhao, Nedim Lipka, Seunghyun Yoon, Ting-Hao 'Kenneth' Huang, Zichao Wang, Puneet Mathur, Soumyabrata Pal, Koyel Mukherjee, Zhehao Zhang, Namyong Park, Thien Huu Nguyen, Jiebo Luo, Ryan A. Rossi, Julian J. McAuley |
| 2025 | CogSci | VisChatter: Enhance Synchronous Collaboration on Data Visualization Dashboard with Visual Annotations. | Songwen Hu, Tong Yu, Sungchul Kim, Ryan A. Rossi, Cindy Xiong Bearfield |
| 2025 | EMNLP | Is Safety Standard Same for Everyone? User-Specific Safety Evaluation of Large Language Models. | Yeonjun In, Wonjoong Kim, Kanghoon Yoon, Sungchul Kim, Mehrab Tanjim, Sangwu Park, Kibum Kim, Chanyoung Park |
| 2025 | EMNLP | Augment before You Try: Knowledge-Enhanced Table Question Answering via Table Expansion. | Yujian Liu, Jiabao Ji, Tong Yu, Ryan A. Rossi, Sungchul Kim, Handong Zhao, Ritwik Sinha, Yang Zhang, Shiyu Chang |
| 2025 | EMNLP | LaMP-Cap: Personalized Figure Caption Generation With Multimodal Figure Profiles. | Ho Yin Sam Ng, Edward Hsu, Aashish Anantha Ramakrishnan, Branislav Kveton, Nedim Lipka, Franck Dernoncourt, Dongwon Lee, Tong Yu, Sungchul Kim, Ryan A. Rossi, Ting-Hao 'Kenneth' Huang |
| 2025 | EMNLP | Disambiguation in Conversational Question Answering in the Era of LLMs and Agents: A Survey. | Md. Mehrab Tanjim, Yeonjun In, Xiang Chen, Victor S. Bursztyn, Ryan A. Rossi, Sungchul Kim, Guang-Jie Ren, Vaishnavi Muppala, Shun Jiang, Yongsung Kim, Chanyoung Park |
| 2025 | EMNLP | Mitigating Visual Knowledge Forgetting in MLLM Instruction-tuning via Modality-decoupled Gradient Descent. | Junda Wu, Yuxin Xiong, Xintong Li, Yu Xia, Ruoyu Wang, Yu Wang, Tong Yu, Sungchul Kim, Ryan A. Rossi, Lina Yao, Jingbo Shang, Julian J. McAuley |
| 2025 | EMNLP | SAND: Boosting LLM Agents with Self-Taught Action Deliberation. | Yu Xia, Yiran Shen, Junda Wu, Tong Yu, Sungchul Kim, Ryan A. Rossi, Lina Yao, Julian J. McAuley |
| 2025 | ICASSP | A Quantitative Metric Selection Approach for Time-series Forecasting Foundation Models. | Hongjie Chen, Akshay Mehra, Josh Kimball, Sungchul Kim |
| 2025 | ICMI | Few-shot Fine-grained Image Classification with Interpretable Prompt Learning through Distribution Alignment. | Dongliang Guo, Handong Zhao, Ryan A. Rossi, Sungchul Kim, Nedim Lipka, Tong Yu, Sheng Li |
| 2025 | ICML | Fully Dynamic Embedding into ℓp Spaces. | Kiarash Banihashem, Xiang Chen, MohammadTaghi Hajiaghayi, Sungchul Kim, Kanak Mahadik, Ryan A. Rossi, Tong Yu |
| 2025 | KDD | Probabilistic Hypergraph Recurrent Neural Networks for Time-series Forecasting. | Hongjie Chen, Ryan A. Rossi, Sungchul Kim, Kanak Mahadik, Hoda Eldardiry |
| 2025 | NAACL | Self-Debiasing Large Language Models: Zero-Shot Recognition and Reduction of Stereotypes. | Isabel O. Gallegos, Ryan Aponte, Ryan A. Rossi, Joe Barrow, Md. Mehrab Tanjim, Tong Yu, Hanieh Deilamsalehy, Ruiyi Zhang, Sungchul Kim, Franck Dernoncourt, Nedim Lipka, Deonna M. Owens, Jiuxiang Gu |
| 2025 | NAACL | Diversify-verify-adapt: Efficient and Robust Retrieval-Augmented Ambiguous Question Answering. | Yeonjun In, Sungchul Kim, Ryan A. Rossi, Md. Mehrab Tanjim, Tong Yu, Ritwik Sinha, Chanyoung Park |
| 2025 | NAACL | Knowledge-Aware Query Expansion with Large Language Models for Textual and Relational Retrieval. | Yu Xia, Junda Wu, Sungchul Kim, Tong Yu, Ryan A. Rossi, Haoliang Wang, Julian J. McAuley |
| 2025 | RANLP | A Survey on Small Language Models. | Chien Van Nguyen, Xuan Shen, Ryan Aponte, Yu Xia, Samyadeep Basu, Zhengmian Hu, Jian Chen, Mihir Parmar, Sasidhar Kunapuli, Joe Barrow, Junda Wu, Ashish Singh, Yu Wang, Jiuxiang Gu, Nesreen K. Ahmed, Nedim Lipka, Ruiyi Zhang, Xiang Chen, Tong Yu, Sungchul Kim, Hanieh Deilamsalehy, Namyong Park, Michael Rimer, Zhehao Zhang, Huanrui Yang, Puneet Mathur, Gang Wu, Franck Dernoncourt, Ryan A. Rossi, Thien Huu Nguyen |
| 2025 | RANLP | Multi-LLM Debiasing Framework. | Deonna M. Owens, Ryan A. Rossi, Sungchul Kim, Tong Yu, Franck Dernoncourt, Xiang Chen, Ruiyi Zhang, Jiuxiang Gu, Hanieh Deilamsalehy, Nedim Lipka |
| 2025 | RANLP | FigCaps-HF: A Figure-to-Caption Generative Framework and Benchmark with Human Feedback. | Ashish Singh, Ashutosh Singh, Prateek Agarwal, Zixuan Huang, Arpita Singh, Tong Yu, Sungchul Kim, Victor Soares Bursztyn, Nesreen K. Ahmed, Puneet Mathur, Erik G. Learned-Miller, Franck Dernoncourt, Ryan A. Rossi |
| 2025 | WWW | Interactive Visualization Recommendation with Hier-SUCB. | Songwen Hu, Ryan A. Rossi, Tong Yu, Junda Wu, Handong Zhao, Sungchul Kim, Shuai Li |
| 2025 | WWW | Personalizing Data Delivery: Investigating User Characteristics and Enhancing LLM Predictions. | Reuben Luera, Ryan A. Rossi, Franck Dernoncourt, Alexa F. Siu, Sungchul Kim, Tong Yu, Ruiyi Zhang, Xiang Chen, Nedim Lipka, Zhehao Zhang, Seon Gyeom Kim, Tak Yeon Lee |
| 2024 | ACL | DeCoT: Debiasing Chain-of-Thought for Knowledge-Intensive Tasks in Large Language Models via Causal Intervention. | Junda Wu, Tong Yu, Xiang Chen, Haoliang Wang, Ryan A. Rossi, Sungchul Kim, Anup B. Rao, Julian J. McAuley |
| 2024 | CHI | SciCapenter: Supporting Caption Composition for Scientific Figures with Machine-Generated Captions and Ratings. | Ting-Yao Hsu, Chieh-Yang Huang, Shih-Hong Huang, Ryan A. Rossi, Sungchul Kim, Tong Yu, C. Lee Giles, Ting-Hao 'Kenneth' Huang |
| 2024 | EMNLP | Advancing Vision-Language Models with Adapter Ensemble Strategies. | Yue Bai, Handong Zhao, Zhe Lin, Ajinkya Kale, Jiuxiang Gu, Tong Yu, Sungchul Kim, Yun Fu |
| 2024 | ICML | Editing Partially Observable Networks via Graph Diffusion Models. | Puja Trivedi, Ryan A. Rossi, David Arbour, Tong Yu, Franck Dernoncourt, Sungchul Kim, Nedim Lipka, Namyong Park, Nesreen K. Ahmed, Danai Koutra |
| 2024 | NAACL | Personalized Federated Learning for Text Classification with Gradient-Free Prompt Tuning. | Rui Wang, Tong Yu, Ruiyi Zhang, Sungchul Kim, Ryan A. Rossi, Handong Zhao, Junda Wu, Subrata Mitra, Lina Yao, Ricardo Henao |
| 2024 | NAACL | Hallucination Diversity-Aware Active Learning for Text Summarization. | Yu Xia, Xu Liu, Tong Yu, Sungchul Kim, Ryan A. Rossi, Anup B. Rao, Tung Mai, Shuai Li |
| 2024 | PAKDD | Evolving Super Graph Neural Networks for Large-Scale Time-Series Forecasting. | Hongjie Chen, Ryan A. Rossi, Sungchul Kim, Kanak Mahadik, Hoda Eldardiry |
| 2024 | WWW | Tackling Long-Tail Entities for Temporal Knowledge Graph Completion. | Mehrnoosh Mirtaheri, Ryan A. Rossi, Sungchul Kim, Kanak Mahadik, Tong Yu, Xiang Chen, Mohammad Rostami |
| 2024 | WWW | Which LLM to Play? Convergence-Aware Online Model Selection with Time-Increasing Bandits. | Yu Xia, Fang Kong, Tong Yu, Liya Guo, Ryan A. Rossi, Sungchul Kim, Shuai Li |
| 2023 | ACL | Federated Domain Adaptation for Named Entity Recognition via Distilling with Heterogeneous Tag Sets. | Rui Wang, Tong Yu, Junda Wu, Handong Zhao, Sungchul Kim, Ruiyi Zhang, Subrata Mitra, Ricardo Henao |
| 2023 | EMNLP | GPT-4 as an Effective Zero-Shot Evaluator for Scientific Figure Captions. | Ting-Yao Hsu, Chieh-Yang Huang, Ryan A. Rossi, Sungchul Kim, C. Lee Giles, Ting-Hao 'Kenneth' Huang |
| 2023 | ICLR | Direct Embedding of Temporal Network Edges via Time-Decayed Line Graphs. | Sudhanshu Chanpuriya, Ryan A. Rossi, Sungchul Kim, Tong Yu, Jane Hoffswell, Nedim Lipka, Shunan Guo, Cameron Musco |
| 2023 | INLG | Summaries as Captions: Generating Figure Captions for Scientific Documents with Automated Text Summarization. | Chieh-Yang Huang, Ting-Yao Hsu, Ryan A. Rossi, Ani Nenkova, Sungchul Kim, Gromit Yeuk-Yin Chan, Eunyee Koh, C. Lee Giles, Ting-Hao 'Kenneth' Huang |
| 2023 | ISM | Content-aware Progressive Image Compression and Syncing. | Junda Wu, Haoliang Wang, Tong Yu, Gang Wu, Stefano Petrangeli, Handong Zhao, Sungchul Kim, Viswanathan Swaminathan |
| 2023 | KDD | User-Regulation Deconfounded Conversational Recommender System with Bandit Feedback. | Yu Xia, Junda Wu, Tong Yu, Sungchul Kim, Ryan A. Rossi, Shuai Li |
| 2022 | ACL | Few-Shot Class-Incremental Learning for Named Entity Recognition. | Rui Wang, Tong Yu, Handong Zhao, Sungchul Kim, Subrata Mitra, Ruiyi Zhang, Ricardo Henao |
| 2022 | CIKM | AutoForecast: Automatic Time-Series Forecasting Model Selection. | Mustafa Abdallah, Ryan A. Rossi, Kanak Mahadik, Sungchul Kim, Handong Zhao, Saurabh Bagchi |
| 2022 | CIKM | AutoMARS: Searching to Compress Multi-Modality Recommendation Systems. | Duc Hoang, Haotao Wang, Handong Zhao, Ryan A. Rossi, Sungchul Kim, Kanak Mahadik, Zhangyang Wang |
| 2022 | CIKM | Implicit Session Contexts for Next-Item Recommendations. | Sejoon Oh, Ankur Bhardwaj, Jongseok Han, Sungchul Kim, Ryan A. Rossi, Srijan Kumar |
| 2022 | KDD | External Knowledge Infusion for Tabular Pre-training Models with Dual-adapters. | Can Qin, Sungchul Kim, Handong Zhao, Tong Yu, Ryan A. Rossi, Yun Fu |
| 2022 | RecSys | Bundle MCR: Towards Conversational Bundle Recommendation. | Zhankui He, Handong Zhao, Tong Yu, Sungchul Kim, Fan Du, Julian J. McAuley |
| 2022 | WWW | VisGNN: Personalized Visualization Recommendationvia Graph Neural Networks. | Fayokemi Ojo, Ryan A. Rossi, Jane Hoffswell, Shunan Guo, Fan Du, Sungchul Kim, Chang Xiao, Eunyee Koh |
| 2022 | WWW | CGC: Contrastive Graph Clustering forCommunity Detection and Tracking. | Namyong Park, Ryan A. Rossi, Eunyee Koh, Iftikhar Ahamath Burhanuddin, Sungchul Kim, Fan Du, Nesreen K. Ahmed, Christos Faloutsos |
| 2022 | WSDM | On Generalizing Static Node Embedding to Dynamic Settings. | Di Jin, Sungchul Kim, Ryan A. Rossi, Danai Koutra |
| 2021 | ACL | Learning Contextualized Knowledge Structures for Commonsense Reasoning. | Jun Yan, Mrigank Raman, Aaron Chan, Tianyu Zhang, Ryan A. Rossi, Handong Zhao, Sungchul Kim, Nedim Lipka, Xiang Ren |
| 2021 | CIKM | Influence-guided Data Augmentation for Neural Tensor Completion. | Sejoon Oh, Sungchul Kim, Ryan A. Rossi, Srijan Kumar |
| 2021 | CIKM | From Closing Triangles to Higher-Order Motif Closures for Better Unsupervised Online Link Prediction. | Ryan A. Rossi, Anup B. Rao, Sungchul Kim, Eunyee Koh, Nesreen K. Ahmed, Gang Wu |
| 2021 | ICLR | Learning to Deceive Knowledge Graph Augmented Models via Targeted Perturbation. | Mrigank Raman, Aaron Chan, Siddhant Agarwal, Peifeng Wang, Hansen Wang, Sungchul Kim, Ryan A. Rossi, Handong Zhao, Nedim Lipka, Xiang Ren |
| 2021 | KDD | Graph Deep Factors for Forecasting with Applications to Cloud Resource Allocation. | Hongjie Chen, Ryan A. Rossi, Kanak Mahadik, Sungchul Kim, Hoda Eldardiry |
| 2021 | KDD | Learning to Recommend Visualizations from Data. | Xin Qian, Ryan A. Rossi, Fan Du, Sungchul Kim, Eunyee Koh, Sana Malik, Tak Yeon Lee, Joel Chan |
| 2021 | KDD | EXACTA: Explainable Column Annotation. | Yikun Xian, Handong Zhao, Tak Yeon Lee, Sungchul Kim, Ryan A. Rossi, Zuohui Fu, Gerard de Melo, S. Muthukrishnan |
| 2021 | NAACL | Edge: Enriching Knowledge Graph Embeddings with External Text. | Saed Rezayi, Handong Zhao, Sungchul Kim, Ryan A. Rossi, Nedim Lipka, Sheng Li |
| 2021 | WWW | Generating Accurate Caption Units for Figure Captioning. | Xin Qian, Eunyee Koh, Fan Du, Sungchul Kim, Joel Chan, Ryan A. Rossi, Sana Malik, Tak Yeon Lee |
| 2020 | CHI | Interactive Event Sequence Prediction for Marketing Analysts. | Fan Du, Shunan Guo, Sana Malik, Eunyee Koh, Sungchul Kim, Zhicheng Liu |
| 2020 | CHI | A Formative Study on Designing Accurate and Natural Figure Captioning Systems. | Xin Qian, Eunyee Koh, Fan Du, Sungchul Kim, Joel Chan |
| 2020 | WWW | Fast Hierarchical Graph Clustering in Linear-Time. | Ryan A. Rossi, Nesreen K. Ahmed, Eunyee Koh, Sungchul Kim |
| 2020 | WWW | From Closing Triangles to Closing Higher-Order Motifs. | Ryan A. Rossi, Anup Rao, Sungchul Kim, Eunyee Koh, Nesreen K. Ahmed |
| 2020 | WACV | Figure Captioning with Relation Maps for Reasoning. | Charles Chen, Ruiyi Zhang, Eunyee Koh, Sungchul Kim, Scott Cohen, Ryan A. Rossi |
| 2020 | WSDM | A Structural Graph Representation Learning Framework. | Ryan A. Rossi, Nesreen K. Ahmed, Eunyee Koh, Sungchul Kim, Anup Rao, Yasin Abbasi-Yadkori |
| 2019 | CHI | Visualizing Uncertainty and Alternatives in Event Sequence Predictions. | Shunan Guo, Fan Du, Sana Malik, Eunyee Koh, Sungchul Kim, Zhicheng Liu, Donghyun Kim, Hongyuan Zha, Nan Cao |
| 2019 | CIKM | Graph Convolutional Networks with Motif-based Attention. | John Boaz Lee, Ryan A. Rossi, Xiangnan Kong, Sungchul Kim, Eunyee Koh, Anup Rao |
| 2019 | KDD | Towards Robust and Discriminative Sequential Data Learning: When and How to Perform Adversarial Training? | Xiaowei Jia, Sheng Li, Handong Zhao, Sungchul Kim, Vipin Kumar |
| 2019 | KDD | Latent Network Summarization: Bridging Network Embedding and Summarization. | Di Jin, Ryan A. Rossi, Eunyee Koh, Sungchul Kim, Anup Rao, Danai Koutra |
| 2019 | WSDM | Domain Switch-Aware Holistic Recurrent Neural Network for Modeling Multi-Domain User Behavior. | Donghyun Kim, Sungchul Kim, Handong Zhao, Sheng Li, Ryan A. Rossi, Eunyee Koh |
| 2018 | CIKM | Predictive Analysis by Leveraging Temporal User Behavior and User Embeddings. | Charles Chen, Sungchul Kim, Hung Bui, Ryan A. Rossi, Eunyee Koh, Branislav Kveton, Razvan C. Bunescu |
| 2018 | WWW | Continuous-Time Dynamic Network Embeddings. | Giang Hoang Nguyen, John Boaz Lee, Ryan A. Rossi, Nesreen K. Ahmed, Eunyee Koh, Sungchul Kim |
| 2017 | WWW | Probabilistic Visitor Stitching on Cross-Device Web Logs. | Sungchul Kim, Nikhil Kini, Jay Pujara, Eunyee Koh, Lise Getoor |
| 2017 | WWW | WimNet: Vision Search for Web Logs. | Sungchul Kim, Sana Malik, Nedim Lipka, Eunyee Koh |
| 2017 | WSDM | Predicting Online Purchase Conversion for Retargeting. | Jinyoung Yeo, Sungchul Kim, Eunyee Koh, Seung-won Hwang, Nedim Lipka |
| 2016 | WWW | Purchase Influence Mining: Identifying Top-k Items Attracting Purchase of Target Item. | Sungchul Kim, Jinyoung Yeo, Eunyee Koh, Nedim Lipka |
| 2016 | WWW | Browsing2purchase: Online Customer Model for Sales Forecasting in an E-Commerce Site. | Jinyoung Yeo, Sungchul Kim, Eunyee Koh, Seung-won Hwang, Nedim Lipka |
| 2014 | CIKM | Identifying Cancer Subtypes based on Somatic Mutation Profile. | Sungchul Kim, Lee Sael, Hwanjo Yu |
| 2013 | CIKM | Efficient local ligand-binding site search using landmark mds. | Sungchul Kim, Lee Sael, Hwanjo Yu |
| 2013 | ICWSM | Don't Be Spoiled by Your Friends: Spoiler Detection in TV Program Tweets. | Sungho Jeon, Sungchul Kim, Hwanjo Yu |
| 2012 | ACL | Multilingual Named Entity Recognition using Parallel Data and Metadata from Wikipedia. | Sungchul Kim, Kristina Toutanova, Hwanjo Yu |
| 2012 | CIKM | Indexing methods for efficient protein 3D surface search. | Sungchul Kim, Lee Sael, Hwanjo Yu |
| 2011 | CIKM | Advertiser-centric approach to understand user click behavior in sponsored search. | Sungchul Kim, Tao Qin, Hwanjo Yu, Tie-Yan Liu |
| 2010 | CIKM | RankSVR: can preference data help regression? | Hwanjo Yu, Sungchul Kim, Seung-Hoon Na |
| 2010 | ICDM | Passive Sampling for Regression. | Hwanjo Yu, Sungchul Kim |
| 2009 | CIKM | VRIFA: a nonlinear SVM visualization tool using nomogram and localized radial basis function (LRBF) kernels. | Ngo Anh Vien, Nguyen Hoang Viet, TaeChoong Chung, Hwanjo Yu, Sungchul Kim, Baek Hwan Cho |
| 2009 | CIKM | RefMed: relevance feedback retrieval system fo PubMed. | Hwanjo Yu, Taehoon Kim, Jinoh Oh, Ilhwan Ko, Sungchul Kim |
| 2009 | CIKM | Enabling multi-level relevance feedback on pubmed by integrating rank learning into DBMS. | Hwanjo Yu, Taehoon Kim, Jinoh Oh, Ilhwan Ko, Sungchul Kim, Wook-Shin Han |