Sungchul Kim

197 papers A* 23A 18B 7C 3Misc 4Journal 95Unranked 46
YearRankTypeTitle / Venue / Authors
2026 — conf
A Survey on LLM-based Conversational User Simulation.
EACL (Volume 1: Long Papers)
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 J jnl
Do Large Multimodal Models Solve Caption Generation for Scientific Figures? Lessons Learned from SciCap Challenge 2023.
Trans. Assoc. Comput. Linguistics
Ting-Yao Hsu, Yi-Li Hsu, Shaurya Rohatgi, Chieh-Yang Huang, Ho Yin Sam Ng, Ryan Rossi, Sungchul Kim, Tong Yu, Lun-Wei Ku, Clyde Lee Giles, Ting-Hao Kenneth Huang
2026 A* conf
Multi-Agent Collaborative Filtering: Orchestrating Users and Items for Agentic Recommendations.
WWW
Yu Xia, Sungchul Kim, Tong Yu, Ryan A. Rossi, Julian J. McAuley
2026 J jnl
Reasoning-Based Personalized Generation for Users with Sparse Data.
CoRR
Bo Ni, Branislav Kveton, Samyadeep Basu, Subhojyoti Mukherjee, Leyao Wang, Franck Dernoncourt, Sungchul Kim, Seunghyun Yoon, Zichao Wang, Ruiyi Zhang, Puneet Mathur, Jihyung Kil, Jiuxiang Gu, Nedim Lipka, Yu Wang, Ryan A. Rossi, Tyler Derr
2026 J jnl
Rethinking Failure Attribution in Multi-Agent Systems: A Multi-Perspective Benchmark and Evaluation.
CoRR
Yeonjun In, Mehrab Tanjim, Jayakumar Subramanian, Sungchul Kim, Uttaran Bhattacharya, Wonjoong Kim, Sangwu Park, Somdeb Sarkhel, Chanyoung Park
2026 A* conf
VipAct: Visual-Perception Enhancement via Specialized VLM Agent Collaboration and Tool-use.
AAAI
Zhehao Zhang, Ryan A. Rossi, Tong Yu, Franck Dernoncourt, Ruiyi Zhang, Jiuxiang Gu, Sungchul Kim, Xiang Chen, Zichao Wang, Nedim Lipka
2025 Misc conf
A Quantitative Metric Selection Approach for Time-series Forecasting Foundation Models.
ICASSP
Hongjie Chen, Akshay Mehra, Josh Kimball, Sungchul Kim
2025 Misc conf
A Survey on Small Language Models.
RANLP
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 — conf
Augment before You Try: Knowledge-Enhanced Table Question Answering via Table Expansion.
EMNLP (Findings)
Yujian Liu, Jiabao Ji, Tong Yu, Ryan A. Rossi, Sungchul Kim, Handong Zhao, Ritwik Sinha, Yang Zhang, Shiyu Chang
2025 J jnl
Charts Are Not Images: On the Challenges of Scientific Chart Editing.
CoRR
Shawn Li, Ryan A. Rossi, Sungchul Kim, Sunav Choudhary, Franck Dernoncourt, Puneet Mathur, Zhengzhong Tu, Yue Zhao
2025 J jnl
Disambiguation in Conversational Question Answering in the Era of LLM: A Survey.
CoRR
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 A* conf
Disambiguation in Conversational Question Answering in the Era of LLMs and Agents: A Survey.
EMNLP
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 — conf
Diversify-verify-adapt: Efficient and Robust Retrieval-Augmented Ambiguous Question Answering.
NAACL (Long Papers)
Yeonjun In, Sungchul Kim, Ryan A. Rossi, Md. Mehrab Tanjim, Tong Yu, Ritwik Sinha, Chanyoung Park
2025 J jnl
Do Large Multimodal Models Solve Caption Generation for Scientific Figures? Lessons Learned from SCICAP Challenge 2023.
CoRR
Ting-Yao Hsu, Yi-Li Hsu, Shaurya Rohatgi, Chieh-Yang Huang, Ho Yin Sam Ng, Ryan A. Rossi, Sungchul Kim, Tong Yu, Lun-Wei Ku, C. Lee Giles, Ting-Hao K. Huang
2025 — conf
Doc-React: Multi-page Heterogeneous Document Question-answering.
ACL (2)
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 J jnl
Evaluation-free Time-series Forecasting Model Selection via Meta-learning.
ACM Trans. Knowl. Discov. Data
Mustafa Abdallah, Ryan A. Rossi, Kanak Mahadik, Sungchul Kim, Handong Zhao, Saurabh Bagchi
2025 J jnl
Exploring Rewriting Approaches for Different Conversational Tasks.
CoRR
Md. Mehrab Tanjim, Ryan A. Rossi, Mike Rimer, Xiang Chen, Sungchul Kim, Vaishnavi Muppala, Tong Yu, Zhengmian Hu, Ritwik Sinha, Wei Zhang, Iftikhar Ahamath Burhanuddin, Franck Dernoncourt
2025 B conf
Few-shot Fine-grained Image Classification with Interpretable Prompt Learning through Distribution Alignment.
ICMI
Dongliang Guo, Handong Zhao, Ryan A. Rossi, Sungchul Kim, Nedim Lipka, Tong Yu, Sheng Li
2025 Misc conf
FigCaps-HF: A Figure-to-Caption Generative Framework and Benchmark with Human Feedback.
RANLP
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 J jnl
Five Years of SciCap: What We Learned and Future Directions for Scientific Figure Captioning.
CoRR
Ting-Hao K. Huang, Ryan A. Rossi, Sungchul Kim, Tong Yu, Ting-Yao Hsu, Ho Yin Ng, C. Lee Giles
2025 J jnl
From Documents to Dialogue: Building KG-RAG Enhanced AI Assistants.
CoRR
Manisha Mukherjee, Sungchul Kim, Xiang Chen, Dan Luo, Tong Yu, Tung Mai
2025 — conf
From Selection to Generation: A Survey of LLM-based Active Learning.
ACL (1)
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 J jnl
From Selection to Generation: A Survey of LLM-based Active Learning.
CoRR
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 A* conf
Fully Dynamic Embedding into ℓp Spaces.
ICML
Kiarash Banihashem, Xiang Chen, MohammadTaghi Hajiaghayi, Sungchul Kim, Kanak Mahadik, Ryan A. Rossi, Tong Yu
2025 — conf
GUI Agents: A Survey.
ACL (Findings)
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 J jnl
Improving the performance of optical inverse design of multilayer thin films using CNN-LSTM tandem neural networks.
CoRR
Uijun Jung, Deokho Jang, Sungchul Kim, Jungho Kim
2025 A* conf
Interactive Visualization Recommendation with Hier-SUCB.
WWW
Songwen Hu, Ryan A. Rossi, Tong Yu, Junda Wu, Handong Zhao, Sungchul Kim, Shuai Li
2025 J jnl
Interactive Visualization Recommendation with Hier-SUCB.
CoRR
Songwen Hu, Ryan A. Rossi, Tong Yu, Junda Wu, Handong Zhao, Sungchul Kim, Shuai Li
2025 — conf
Is Safety Standard Same for Everyone? User-Specific Safety Evaluation of Large Language Models.
EMNLP (Findings)
Yeonjun In, Wonjoong Kim, Kanghoon Yoon, Sungchul Kim, Mehrab Tanjim, Sangwu Park, Kibum Kim, Chanyoung Park
2025 J jnl
Is Safety Standard Same for Everyone? User-Specific Safety Evaluation of Large Language Models.
CoRR
Yeonjun In, Wonjoong Kim, Kanghoon Yoon, Sungchul Kim, Md. Mehrab Tanjim, Kibum Kim, Chanyoung Park
2025 — conf
Knowledge-Aware Query Expansion with Large Language Models for Textual and Relational Retrieval.
NAACL (Long Papers)
Yu Xia, Junda Wu, Sungchul Kim, Tong Yu, Ryan A. Rossi, Haoliang Wang, Julian J. McAuley
2025 — conf
LaMP-Cap: Personalized Figure Caption Generation With Multimodal Figure Profiles.
EMNLP (Findings)
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 J jnl
LaMP-Cap: Personalized Figure Caption Generation With Multimodal Figure Profiles.
CoRR
Ho Yin Sam Ng, Ting-Yao Hsu, Aashish Anantha Ramakrishnan, Branislav Kveton, Nedim Lipka, Franck Dernoncourt, Dongwon Lee, Tong Yu, Sungchul Kim, Ryan A. Rossi, Ting-Hao Kenneth Huang
2025 J jnl
MLLM as a UI Judge: Benchmarking Multimodal LLMs for Predicting Human Perception of User Interfaces.
CoRR
Reuben Luera, Ryan A. Rossi, Franck Dernoncourt, Samyadeep Basu, Sungchul Kim, Subhojyoti Mukherjee, Puneet Mathur, Ruiyi Zhang, Jihyung Kil, Nedim Lipka, Seunghyun Yoon, Jiuxiang Gu, Zichao Wang, Cindy Xiong Bearfield, Branislav Kveton
2025 J jnl
Metadata Enriched Multi-Instance Contrastive Learning for High-Quality Facial Skin Visual Representations.
Appl. Artif. Intell.
Jihyo Kim, Sungchul Kim, Seungwon Seo, Bumsoo Kim, Daejeong Mun, HoonJae Lee, Sangheum Hwang
2025 — conf
Mitigating Visual Knowledge Forgetting in MLLM Instruction-tuning via Modality-decoupled Gradient Descent.
EMNLP (Findings)
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 J jnl
Mitigating Visual Knowledge Forgetting in MLLM Instruction-tuning via Modality-decoupled Gradient Descent.
CoRR
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 J jnl
Multi-Agent Collaborative Filtering: Orchestrating Users and Items for Agentic Recommendations.
CoRR
Yu Xia, Sungchul Kim, Tong Yu, Ryan A. Rossi, Julian J. McAuley
2025 J jnl
Multi-LLM Collaborative Caption Generation in Scientific Documents.
CoRR
Jaeyoung Kim, Jongho Lee, Hongjun Choi, Ting-Yao Hsu, Chieh-Yang Huang, Sungchul Kim, Ryan A. Rossi, Tong Yu, Clyde Lee Giles, Ting-Hao (Kenneth) Huang, Sungchul Choi
2025 Misc conf
Multi-LLM Debiasing Framework.
RANLP
Deonna M. Owens, Ryan A. Rossi, Sungchul Kim, Tong Yu, Franck Dernoncourt, Xiang Chen, Ruiyi Zhang, Jiuxiang Gu, Hanieh Deilamsalehy, Nedim Lipka
2025 J jnl
Pandora with Inaccurate Priors.
CoRR
Kiarash Banihashem, Xiang Chen, MohammadTaghi Hajiaghayi, Sungchul Kim, Kanak Mahadik, Ryan A. Rossi, Tong Yu
2025 J jnl
Personalization of Large Language Models: A Survey.
Trans. Mach. Learn. Res.
Zhehao Zhang, Ryan A. Rossi, Branislav Kveton, Yijia Shao, Diyi Yang, Hamed Zamani, Franck Dernoncourt, Joe Barrow, Tong Yu, Sungchul Kim, Ruiyi Zhang, Jiuxiang Gu, Tyler Derr, Hongjie Chen, Junda Wu, Xiang Chen, Zichao Wang, Subrata Mitra, Nedim Lipka, Nesreen K. Ahmed, Yu Wang
2025 — conf
Personalizing Data Delivery: Investigating User Characteristics and Enhancing LLM Predictions.
WWW (Companion Volume)
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
2025 — conf
Probabilistic Hypergraph Recurrent Neural Networks for Time-series Forecasting.
KDD (1)
Hongjie Chen, Ryan A. Rossi, Sungchul Kim, Kanak Mahadik, Hoda Eldardiry
2025 A* conf
SAND: Boosting LLM Agents with Self-Taught Action Deliberation.
EMNLP
Yu Xia, Yiran Shen, Junda Wu, Tong Yu, Sungchul Kim, Ryan A. Rossi, Lina Yao, Julian J. McAuley
2025 J jnl
SAND: Boosting LLM Agents with Self-Taught Action Deliberation.
CoRR
Yu Xia, Yiran Shen, Junda Wu, Tong Yu, Sungchul Kim, Ryan A. Rossi, Lina Yao, Julian J. McAuley
2025 — conf
Self-Debiasing Large Language Models: Zero-Shot Recognition and Reduction of Stereotypes.
NAACL (Short Papers)
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 J jnl
Towards Improving Long-Tail Entity Predictions in Temporal Knowledge Graphs through Global Similarity and Weighted Sampling.
CoRR
Mehrnoosh Mirtaheri, Ryan A. Rossi, Sungchul Kim, Kanak Mahadik, Tong Yu, Xiang Chen, Mohammad Rostami
2025 J jnl
Training Robust Graph Neural Networks by Modeling Noise Dependencies.
CoRR
Yeonjun In, Kanghoon Yoon, Sukwon Yun, Kibum Kim, Sungchul Kim, Chanyoung Park
2025 J jnl
Understanding How Paper Writers Use AI-Generated Captions in Figure Caption Writing.
CoRR
Ho Yin Ng, Ting-Yao Hsu, Jiyoo Min, Sungchul Kim, Ryan A. Rossi, Tong Yu, Hyunggu Jung, Ting-Hao Kenneth Huang
2025 B conf
VisChatter: Enhance Synchronous Collaboration on Data Visualization Dashboard with Visual Annotations.
CogSci
Songwen Hu, Tong Yu, Sungchul Kim, Ryan A. Rossi, Cindy Xiong Bearfield
2025 J jnl
WaterFlow: Learning Fast & Robust Watermarks using Stable Diffusion.
CoRR
Vinay Shukla, Prachee Sharma, Ryan A. Rossi, Sungchul Kim, Tong Yu, Aditya Grover
2024 J jnl
A Multi-LLM Debiasing Framework.
CoRR
Deonna M. Owens, Ryan A. Rossi, Sungchul Kim, Tong Yu, Franck Dernoncourt, Xiang Chen, Ruiyi Zhang, Jiuxiang Gu, Hanieh Deilamsalehy, Nedim Lipka
2024 B conf
A Study of Foundation Models for Large-scale Time-series Forecasting.
IEEE Big Data
Hongjie Chen, Ryan A. Rossi, Sungchul Kim, Kanak Mahadik, Hoda Eldardiry
2024 J jnl
A Survey of Small Language Models.
CoRR
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, Franck Dernoncourt, Nesreen K. Ahmed, Nedim Lipka, Ruiyi Zhang, Xiang Chen, Tong Yu, Sungchul Kim, Hanieh Deilamsalehy, Namyong Park, Mike Rimer, Zhehao Zhang, Huanrui Yang, Ryan A. Rossi, Thien Huu Nguyen
2024 — conf
Advancing Vision-Language Models with Adapter Ensemble Strategies.
EMNLP (Findings)
Yue Bai, Handong Zhao, Zhe Lin, Ajinkya Kale, Jiuxiang Gu, Tong Yu, Sungchul Kim, Yun Fu
2024 — conf
Are Large Language Models Capable of Causal Reasoning for Sensing Data Analysis?
EdgeFM@MobiSys
Zhizhang Hu, Yue Zhang, Ryan A. Rossi, Tong Yu, Sungchul Kim, Shijia Pan
2024 J jnl
Augment before You Try: Knowledge-Enhanced Table Question Answering via Table Expansion.
CoRR
Yujian Liu, Jiabao Ji, Tong Yu, Ryan A. Rossi, Sungchul Kim, Handong Zhao, Ritwik Sinha, Yang Zhang, Shiyu Chang
2024 J jnl
Bias and Fairness in Large Language Models: A Survey.
Comput. Linguistics
Isabel O. Gallegos, Ryan A. Rossi, Joe Barrow, Md. Mehrab Tanjim, Sungchul Kim, Franck Dernoncourt, Tong Yu, Ruiyi Zhang, Nesreen K. Ahmed
2024 — conf
DeCoT: Debiasing Chain-of-Thought for Knowledge-Intensive Tasks in Large Language Models via Causal Intervention.
ACL (1)
Junda Wu, Tong Yu, Xiang Chen, Haoliang Wang, Ryan A. Rossi, Sungchul Kim, Anup B. Rao, Julian J. McAuley
2024 J jnl
Diversify-verify-adapt: Efficient and Robust Retrieval-Augmented Ambiguous Question Answering.
CoRR
Yeonjun In, Sungchul Kim, Ryan A. Rossi, Md. Mehrab Tanjim, Tong Yu, Ritwik Sinha, Chanyoung Park
2024 A* conf
Editing Partially Observable Networks via Graph Diffusion Models.
ICML
Puja Trivedi, Ryan A. Rossi, David Arbour, Tong Yu, Franck Dernoncourt, Sungchul Kim, Nedim Lipka, Namyong Park, Nesreen K. Ahmed, Danai Koutra
2024 — conf
Evolving Super Graph Neural Networks for Large-Scale Time-Series Forecasting.
PAKDD (6)
Hongjie Chen, Ryan A. Rossi, Sungchul Kim, Kanak Mahadik, Hoda Eldardiry
2024 J jnl
Fairness-Aware Graph Neural Networks: A Survey.
ACM Trans. Knowl. Discov. Data
April Chen, Ryan A. Rossi, Namyong Park, Puja Trivedi, Yu Wang, Tong Yu, Sungchul Kim, Franck Dernoncourt, Nesreen K. Ahmed
2024 J jnl
Federated Large Language Models: Current Progress and Future Directions.
CoRR
Yuhang Yao, Jianyi Zhang, Junda Wu, Chengkai Huang, Yu Xia, Tong Yu, Ruiyi Zhang, Sungchul Kim, Ryan A. Rossi, Ang Li, Lina Yao, Julian J. McAuley, Yiran Chen, Carlee Joe-Wong
2024 B conf
GPURank: A Cloud GPU Instance Recommendation System.
IEEE Big Data
Shravika Mittal, Kanak Mahadik, Ryan A. Rossi, Sungchul Kim, Handong Zhao
2024 J jnl
GUI Agents: A Survey.
CoRR
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, Thien Huu Nguyen, Trung Bui, Tianyi Zhou, Ryan A. Rossi, Franck Dernoncourt
2024 — conf
Hallucination Diversity-Aware Active Learning for Text Summarization.
NAACL-HLT
Yu Xia, Xu Liu, Tong Yu, Sungchul Kim, Ryan A. Rossi, Anup B. Rao, Tung Mai, Shuai Li
2024 J jnl
Hallucination Diversity-Aware Active Learning for Text Summarization.
CoRR
Yu Xia, Xu Liu, Tong Yu, Sungchul Kim, Ryan A. Rossi, Anup B. Rao, Tung Mai, Shuai Li
2024 J jnl
Knowledge-Aware Query Expansion with Large Language Models for Textual and Relational Retrieval.
CoRR
Yu Xia, Junda Wu, Sungchul Kim, Tong Yu, Ryan A. Rossi, Haoliang Wang, Julian J. McAuley
2024 J jnl
Learning to Reduce: Optimal Representations of Structured Data in Prompting Large Language Models.
CoRR
Younghun Lee, Sungchul Kim, Tong Yu, Ryan A. Rossi, Xiang Chen
2024 J jnl
Learning to Reduce: Towards Improving Performance of Large Language Models on Structured Data.
CoRR
Younghun Lee, Sungchul Kim, Ryan A. Rossi, Tong Yu, Xiang Chen
2024 J jnl
Optimizing Data Delivery: Insights from User Preferences on Visuals, Tables, and Text.
CoRR
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 J jnl
Personalization of Large Language Models: A Survey.
CoRR
Zhehao Zhang, Ryan A. Rossi, Branislav Kveton, Yijia Shao, Diyi Yang, Hamed Zamani, Franck Dernoncourt, Joe Barrow, Tong Yu, Sungchul Kim, Ruiyi Zhang, Jiuxiang Gu, Tyler Derr, Hongjie Chen, Junda Wu, Xiang Chen, Zichao Wang, Subrata Mitra, Nedim Lipka, Nesreen K. Ahmed, Yu Wang
2024 — conf
Personalized Federated Learning for Text Classification with Gradient-Free Prompt Tuning.
NAACL-HLT (Findings)
Rui Wang, Tong Yu, Ruiyi Zhang, Sungchul Kim, Ryan A. Rossi, Handong Zhao, Junda Wu, Subrata Mitra, Lina Yao, Ricardo Henao
2024 J jnl
Personalized Multimodal Large Language Models: A Survey.
CoRR
Junda Wu, Hanjia Lyu, Yu Xia, Zhehao Zhang, Joe Barrow, Ishita Kumar, Mehrnoosh Mirtaheri, Hongjie Chen, Ryan A. Rossi, Franck Dernoncourt, Tong Yu, Ruiyi Zhang, Jiuxiang Gu, Nesreen K. Ahmed, Yu Wang, Xiang Chen, Hanieh Deilamsalehy, Namyong Park, Sungchul Kim, Huanrui Yang, Subrata Mitra, Zhengmian Hu, Nedim Lipka, Dang Nguyen, Yue Zhao, Jiebo Luo, Julian J. McAuley
2024 — conf
SciCapenter: Supporting Caption Composition for Scientific Figures with Machine-Generated Captions and Ratings.
CHI Extended Abstracts
Ting-Yao Hsu, Chieh-Yang Huang, Shih-Hong Huang, Ryan A. Rossi, Sungchul Kim, Tong Yu, C. Lee Giles, Ting-Hao Kenneth Huang
2024 J jnl
SciCapenter: Supporting Caption Composition for Scientific Figures with Machine-Generated Captions and Ratings.
CoRR
Ting-Yao Hsu, Chieh-Yang Huang, Shih-Hong Huang, Ryan A. Rossi, Sungchul Kim, Tong Yu, C. Lee Giles, Ting-Hao K. Huang
2024 J jnl
Self-Debiasing Large Language Models: Zero-Shot Recognition and Reduction of Stereotypes.
CoRR
Isabel O. Gallegos, Ryan A. Rossi, Joe Barrow, Md. Mehrab Tanjim, Tong Yu, Hanieh Deilamsalehy, Ruiyi Zhang, Sungchul Kim, Franck Dernoncourt
2024 J jnl
Structured Dynamic Pricing: Optimal Regret in a Global Shrinkage Model.
J. Mach. Learn. Res.
Rashmi Ranjan Bhuyan, Adel Javanmard, Sungchul Kim, Gourab Mukherjee, Ryan A. Rossi, Tong Yu, Handong Zhao
2024 J jnl
Survey of User Interface Design and Interaction Techniques in Generative AI Applications.
CoRR
Reuben Luera, Ryan A. Rossi, Alexa F. Siu, Franck Dernoncourt, Tong Yu, Sungchul Kim, Ruiyi Zhang, Xiang Chen, Hanieh Salehy, Jian Zhao, Samyadeep Basu, Puneet Mathur, Nedim Lipka
2024 — conf
Tackling Long-Tail Entities for Temporal Knowledge Graph Completion.
WWW (Companion Volume)
Mehrnoosh Mirtaheri, Ryan A. Rossi, Sungchul Kim, Kanak Mahadik, Tong Yu, Xiang Chen, Mohammad Rostami
2024 J jnl
VipAct: Visual-Perception Enhancement via Specialized VLM Agent Collaboration and Tool-use.
CoRR
Zhehao Zhang, Ryan A. Rossi, Tong Yu, Franck Dernoncourt, Ruiyi Zhang, Jiuxiang Gu, Sungchul Kim, Xiang Chen, Zichao Wang, Nedim Lipka
2024 J jnl
Visual Prompting in Multimodal Large Language Models: A Survey.
CoRR
Junda Wu, Zhehao Zhang, Yu Xia, Xintong Li, Zhaoyang Xia, Aaron Chang, Tong Yu, Sungchul Kim, Ryan A. Rossi, Ruiyi Zhang, Subrata Mitra, Dimitris N. Metaxas, Lina Yao, Jingbo Shang, Julian J. McAuley
2024 A* conf
Which LLM to Play? Convergence-Aware Online Model Selection with Time-Increasing Bandits.
WWW
Yu Xia, Fang Kong, Tong Yu, Liya Guo, Ryan A. Rossi, Sungchul Kim, Shuai Li
2024 J jnl
Which LLM to Play? Convergence-Aware Online Model Selection with Time-Increasing Bandits.
CoRR
Yu Xia, Fang Kong, Tong Yu, Liya Guo, Ryan A. Rossi, Sungchul Kim, Shuai Li
2023 J jnl
Bias and Fairness in Large Language Models: A Survey.
CoRR
Isabel O. Gallegos, Ryan A. Rossi, Joe Barrow, Md. Mehrab Tanjim, Sungchul Kim, Franck Dernoncourt, Tong Yu, Ruiyi Zhang, Nesreen K. Ahmed
2023 C conf
Content-aware Progressive Image Compression and Syncing.
ISM
Junda Wu, Haoliang Wang, Tong Yu, Gang Wu, Stefano Petrangeli, Handong Zhao, Sungchul Kim, Viswanathan Swaminathan
2023 A* conf
Direct Embedding of Temporal Network Edges via Time-Decayed Line Graphs.
ICLR
Sudhanshu Chanpuriya, Ryan A. Rossi, Sungchul Kim, Tong Yu, Jane Hoffswell, Nedim Lipka, Shunan Guo, Cameron Musco
2023 J jnl
Fairness-Aware Graph Neural Networks: A Survey.
CoRR
April Chen, Ryan A. Rossi, Namyong Park, Puja Trivedi, Yu Wang, Tong Yu, Sungchul Kim, Franck Dernoncourt, Nesreen K. Ahmed
2023 — conf
Federated Domain Adaptation for Named Entity Recognition via Distilling with Heterogeneous Tag Sets.
ACL (Findings)
Rui Wang, Tong Yu, Junda Wu, Handong Zhao, Sungchul Kim, Ruiyi Zhang, Subrata Mitra, Ricardo Henao
2023 J jnl
FigCaps-HF: A Figure-to-Caption Generative Framework and Benchmark with Human Feedback.
CoRR
Ashish Singh, Prateek Agarwal, Zixuan Huang, Arpita Singh, Tong Yu, Sungchul Kim, Victor S. Bursztyn, Nikos Vlassis, Ryan A. Rossi
2023 — conf
GPT-4 as an Effective Zero-Shot Evaluator for Scientific Figure Captions.
EMNLP (Findings)
Ting-Yao Hsu, Chieh-Yang Huang, Ryan A. Rossi, Sungchul Kim, C. Lee Giles, Ting-Hao Kenneth Huang
2023 J jnl
GPT-4 as an Effective Zero-Shot Evaluator for Scientific Figure Captions.
CoRR
Ting-Yao Hsu, Chieh-Yang Huang, Ryan A. Rossi, Sungchul Kim, C. Lee Giles, Ting-Hao K. Huang
2023 J jnl
Graph Deep Factors for Probabilistic Time-series Forecasting.
ACM Trans. Knowl. Discov. Data
Hongjie Chen, Ryan A. Rossi, Kanak Mahadik, Sungchul Kim, Hoda Eldardiry
2023 B conf
Hypergraph Neural Networks for Time-series Forecasting.
IEEE Big Data
Hongjie Chen, Ryan A. Rossi, Kanak Mahadik, Sungchul Kim, Hoda Eldardiry
2023 B conf
Interpretable Unsupervised Log Anomaly Detection.
IEEE Big Data
Jaeho Bang, Sungchul Kim, Ryan A. Rossi, Tong Yu, Handong Zhao
2023 J jnl
Leveraging Graph Diffusion Models for Network Refinement Tasks.
CoRR
Puja Trivedi, Ryan A. Rossi, David Arbour, Tong Yu, Franck Dernoncourt, Sungchul Kim, Nedim Lipka, Namyong Park, Nesreen K. Ahmed, Danai Koutra
2023 J jnl
Structured Dynamic Pricing: Optimal Regret in a Global Shrinkage Model.
CoRR
Rashmi Ranjan Bhuyan, Adel Javanmard, Sungchul Kim, Gourab Mukherjee, Ryan A. Rossi, Tong Yu, Handong Zhao
2023 B conf
Summaries as Captions: Generating Figure Captions for Scientific Documents with Automated Text Summarization.
INLG
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 J jnl
Summaries as Captions: Generating Figure Captions for Scientific Documents with Automated Text Summarization.
CoRR
Chieh-Yang Huang, Ting-Yao Hsu, Ryan A. Rossi, Ani Nenkova, Sungchul Kim, Gromit Yeuk-Yin Chan, Eunyee Koh, Clyde Lee Giles, Ting-Hao Kenneth Huang
2023 A* conf
User-Regulation Deconfounded Conversational Recommender System with Bandit Feedback.
KDD
Yu Xia, Junda Wu, Tong Yu, Sungchul Kim, Ryan A. Rossi, Shuai Li
2022 — conf
A 0.6 ㎛ Small Pixel for High Resolution CMOS Image Sensor with Full Well Capacity of 10, 000e- by Dual Vertical Transfer Gate Technology.
VLSI Technology and Circuits
Jungbin Yun, Seungjoon Lee, Seungwon Cha, Jihun Kim, Jeongho Lee, Hanseok Kim, Eungkyu Lee, Seonok Kim, Seunghan Hong, Hyungchae Kim, Jinsuk Huh, Sungchul Kim, Kazunori Kakehi, Jae-Ho Kim, June-Mo Koo, Eunsang Cho, Heegeun Jeong, Howoo Park, Kyungho Lee, JungChak Ahn, Joonseo Yim
2022 A conf
AutoForecast: Automatic Time-Series Forecasting Model Selection.
CIKM
Mustafa Abdallah, Ryan A. Rossi, Kanak Mahadik, Sungchul Kim, Handong Zhao, Saurabh Bagchi
2022 A conf
AutoMARS: Searching to Compress Multi-Modality Recommendation Systems.
CIKM
Duc Hoang, Haotao Wang, Handong Zhao, Ryan A. Rossi, Sungchul Kim, Kanak Mahadik, Zhangyang Wang
2022 A conf
Bundle MCR: Towards Conversational Bundle Recommendation.
RecSys
Zhankui He, Handong Zhao, Tong Yu, Sungchul Kim, Fan Du, Julian J. McAuley
2022 J jnl
Bundle MCR: Towards Conversational Bundle Recommendation.
CoRR
Zhankui He, Handong Zhao, Tong Yu, Sungchul Kim, Fan Du, Julian J. McAuley
2022 J jnl
CGC: Contrastive Graph Clustering for Community Detection and Tracking.
CoRR
Namyong Park, Ryan A. Rossi, Eunyee Koh, Iftikhar Ahamath Burhanuddin, Sungchul Kim, Fan Du, Nesreen K. Ahmed, Christos Faloutsos
2022 A* conf
CGC: Contrastive Graph Clustering forCommunity Detection and Tracking.
WWW
Namyong Park, Ryan A. Rossi, Eunyee Koh, Iftikhar Ahamath Burhanuddin, Sungchul Kim, Fan Du, Nesreen K. Ahmed, Christos Faloutsos
2022 J jnl
Direct Embedding of Temporal Network Edges via Time-Decayed Line Graphs.
CoRR
Sudhanshu Chanpuriya, Ryan A. Rossi, Sungchul Kim, Tong Yu, Jane Hoffswell, Nedim Lipka, Shunan Guo, Cameron Musco
2022 A* conf
External Knowledge Infusion for Tabular Pre-training Models with Dual-adapters.
KDD
Can Qin, Sungchul Kim, Handong Zhao, Tong Yu, Ryan A. Rossi, Yun Fu
2022 — conf
Few-Shot Class-Incremental Learning for Named Entity Recognition.
ACL (1)
Rui Wang, Tong Yu, Handong Zhao, Sungchul Kim, Subrata Mitra, Ruiyi Zhang, Ricardo Henao
2022 J jnl
Graph Learning with Localized Neighborhood Fairness.
CoRR
April Chen, Ryan A. Rossi, Nedim Lipka, Jane Hoffswell, Gromit Chan, Shunan Guo, Eunyee Koh, Sungchul Kim, Nesreen K. Ahmed
2022 A conf
Implicit Session Contexts for Next-Item Recommendations.
CIKM
Sejoon Oh, Ankur Bhardwaj, Jongseok Han, Sungchul Kim, Ryan A. Rossi, Srijan Kumar
2022 J jnl
Implicit Session Contexts for Next-Item Recommendations.
CoRR
Sejoon Oh, Ankur Bhardwaj, Jongseok Han, Sungchul Kim, Ryan A. Rossi, Srijan Kumar
2022 A conf
On Generalizing Static Node Embedding to Dynamic Settings.
WSDM
Di Jin, Sungchul Kim, Ryan A. Rossi, Danai Koutra
2022 J jnl
Personalized Visualization Recommendation.
ACM Trans. Web
Xin Qian, Ryan A. Rossi, Fan Du, Sungchul Kim, Eunyee Koh, Sana Malik, Tak Yeon Lee, Nesreen K. Ahmed
2022 A* conf
VisGNN: Personalized Visualization Recommendationvia Graph Neural Networks.
WWW
Fayokemi Ojo, Ryan A. Rossi, Jane Hoffswell, Shunan Guo, Fan Du, Sungchul Kim, Chang Xiao, Eunyee Koh
2021 J jnl
Dynamic Node Embeddings From Edge Streams.
IEEE Trans. Emerg. Top. Comput. Intell.
John Boaz Lee, Giang Nguyen, Ryan A. Rossi, Nesreen K. Ahmed, Eunyee Koh, Sungchul Kim
2021 A* conf
EXACTA: Explainable Column Annotation.
KDD
Yikun Xian, Handong Zhao, Tak Yeon Lee, Sungchul Kim, Ryan A. Rossi, Zuohui Fu, Gerard de Melo, S. Muthukrishnan
2021 — conf
Edge: Enriching Knowledge Graph Embeddings with External Text.
NAACL-HLT
Saed Rezayi, Handong Zhao, Sungchul Kim, Ryan A. Rossi, Nedim Lipka, Sheng Li
2021 J jnl
Edge: Enriching Knowledge Graph Embeddings with External Text.
CoRR
Saed Rezayi, Handong Zhao, Sungchul Kim, Ryan A. Rossi, Nedim Lipka, Sheng Li
2021 A conf
From Closing Triangles to Higher-Order Motif Closures for Better Unsupervised Online Link Prediction.
CIKM
Ryan A. Rossi, Anup B. Rao, Sungchul Kim, Eunyee Koh, Nesreen K. Ahmed, Gang Wu
2021 A* conf
Generating Accurate Caption Units for Figure Captioning.
WWW
Xin Qian, Eunyee Koh, Fan Du, Sungchul Kim, Joel Chan, Ryan A. Rossi, Sana Malik, Tak Yeon Lee
2021 A* conf
Graph Deep Factors for Forecasting with Applications to Cloud Resource Allocation.
KDD
Hongjie Chen, Ryan A. Rossi, Kanak Mahadik, Sungchul Kim, Hoda Eldardiry
2021 J jnl
Heterogeneous Graphlets.
ACM Trans. Knowl. Discov. Data
Ryan A. Rossi, Nesreen K. Ahmed, Aldo G. Carranza, David Arbour, Anup B. Rao, Sungchul Kim, Eunyee Koh
2021 A conf
Influence-guided Data Augmentation for Neural Tensor Completion.
CIKM
Sejoon Oh, Sungchul Kim, Ryan A. Rossi, Srijan Kumar
2021 J jnl
Influence-guided Data Augmentation for Neural Tensor Completion.
CoRR
Sejoon Oh, Sungchul Kim, Ryan A. Rossi, Srijan Kumar
2021 — conf
Learning Contextualized Knowledge Structures for Commonsense Reasoning.
ACL/IJCNLP (Findings)
Jun Yan, Mrigank Raman, Aaron Chan, Tianyu Zhang, Ryan A. Rossi, Handong Zhao, Sungchul Kim, Nedim Lipka, Xiang Ren
2021 A* conf
Learning to Deceive Knowledge Graph Augmented Models via Targeted Perturbation.
ICLR
Mrigank Raman, Aaron Chan, Siddhant Agarwal, Peifeng Wang, Hansen Wang, Sungchul Kim, Ryan A. Rossi, Handong Zhao, Nedim Lipka, Xiang Ren
2021 A* conf
Learning to Recommend Visualizations from Data.
KDD
Xin Qian, Ryan A. Rossi, Fan Du, Sungchul Kim, Eunyee Koh, Sana Malik, Tak Yeon Lee, Joel Chan
2021 J jnl
Personalized Visualization Recommendation.
CoRR
Xin Qian, Ryan A. Rossi, Fan Du, Sungchul Kim, Eunyee Koh, Sana Malik, Tak Yeon Lee, Nesreen K. Ahmed
2020 — conf
A Formative Study on Designing Accurate and Natural Figure Captioning Systems.
CHI Extended Abstracts
Xin Qian, Eunyee Koh, Fan Du, Sungchul Kim, Joel Chan
2020 A conf
A Structural Graph Representation Learning Framework.
WSDM
Ryan A. Rossi, Nesreen K. Ahmed, Eunyee Koh, Sungchul Kim, Anup Rao, Yasin Abbasi-Yadkori
2020 J jnl
Conversion Prediction from Clickstream: Modeling Market Prediction and Customer Predictability.
IEEE Trans. Knowl. Data Eng.
Jinyoung Yeo, Seung-won Hwang, Sungchul Kim, Eunyee Koh, Nedim Lipka
2020 — conf
Fast Hierarchical Graph Clustering in Linear-Time.
WWW (Companion Volume)
Ryan A. Rossi, Nesreen K. Ahmed, Eunyee Koh, Sungchul Kim
2020 A conf
Figure Captioning with Relation Maps for Reasoning.
WACV
Charles Chen, Ruiyi Zhang, Eunyee Koh, Sungchul Kim, Scott Cohen, Ryan A. Rossi
2020 — conf
From Closing Triangles to Closing Higher-Order Motifs.
WWW (Companion Volume)
Ryan A. Rossi, Anup Rao, Sungchul Kim, Eunyee Koh, Nesreen K. Ahmed
2020 J jnl
From Static to Dynamic Node Embeddings.
CoRR
Di Jin, Sungchul Kim, Ryan A. Rossi, Danai Koutra
2020 J jnl
Graph Deep Factors for Forecasting.
CoRR
Hongjie Chen, Ryan A. Rossi, Kanak Mahadik, Sungchul Kim, Hoda Eldardiry
2020 J jnl
Heterogeneous Graphlets.
CoRR
Ryan A. Rossi, Nesreen K. Ahmed, Aldo G. Carranza, David Arbour, Anup B. Rao, Sungchul Kim, Eunyee Koh
2020 — conf
Interactive Event Sequence Prediction for Marketing Analysts.
CHI Extended Abstracts
Fan Du, Shunan Guo, Sana Malik, Eunyee Koh, Sungchul Kim, Zhicheng Liu
2020 J jnl
Learning Contextualized Knowledge Structures for Commonsense Reasoning.
CoRR
Jun Yan, Mrigank Raman, Tianyu Zhang, Ryan A. Rossi, Handong Zhao, Sungchul Kim, Nedim Lipka, Xiang Ren
2020 J jnl
Learning to Deceive Knowledge Graph Augmented Models via Targeted Perturbation.
CoRR
Mrigank Raman, Siddhant Agarwal, Peifeng Wang, Aaron Chan, Hansen Wang, Sungchul Kim, Ryan A. Rossi, Handong Zhao, Nedim Lipka, Xiang Ren
2020 J jnl
ML-based Visualization Recommendation: Learning to Recommend Visualizations from Data.
CoRR
Xin Qian, Ryan A. Rossi, Fan Du, Sungchul Kim, Eunyee Koh, Sana Malik, Tak Yeon Lee, Joel Chan
2020 J jnl
On Proximity and Structural Role-based Embeddings in Networks: Misconceptions, Techniques, and Applications.
ACM Trans. Knowl. Discov. Data
Ryan A. Rossi, Di Jin, Sungchul Kim, Nesreen K. Ahmed, Danai Koutra, John Boaz Lee
2019 J jnl
Attention Models in Graphs: A Survey.
ACM Trans. Knowl. Discov. Data
John Boaz Lee, Ryan A. Rossi, Sungchul Kim, Nesreen K. Ahmed, Eunyee Koh
2019 A conf
Domain Switch-Aware Holistic Recurrent Neural Network for Modeling Multi-Domain User Behavior.
WSDM
Donghyun Kim, Sungchul Kim, Handong Zhao, Sheng Li, Ryan A. Rossi, Eunyee Koh
2019 J jnl
Figure Captioning with Reasoning and Sequence-Level Training.
CoRR
Charles Chen, Ruiyi Zhang, Eunyee Koh, Sungchul Kim, Scott Cohen, Tong Yu, Ryan A. Rossi, Razvan C. Bunescu
2019 J jnl
From Community to Role-based Graph Embeddings.
CoRR
Ryan A. Rossi, Di Jin, Sungchul Kim, Nesreen K. Ahmed, Danai Koutra, John Boaz Lee
2019 A conf
Graph Convolutional Networks with Motif-based Attention.
CIKM
John Boaz Lee, Ryan A. Rossi, Xiangnan Kong, Sungchul Kim, Eunyee Koh, Anup Rao
2019 J jnl
Heterogeneous Network Motifs.
CoRR
Ryan A. Rossi, Nesreen K. Ahmed, Aldo G. Carranza, David Arbour, Anup Rao, Sungchul Kim, Eunyee Koh
2019 J jnl
Higher-Order Ranking and Link Prediction: From Closing Triangles to Closing Higher-Order Motifs.
CoRR
Ryan A. Rossi, Anup Rao, Sungchul Kim, Eunyee Koh, Nesreen K. Ahmed, Gang Wu
2019 A* conf
Latent Network Summarization: Bridging Network Embedding and Summarization.
KDD
Di Jin, Ryan A. Rossi, Eunyee Koh, Sungchul Kim, Anup Rao, Danai Koutra
2019 J jnl
Linear-time Hierarchical Community Detection.
CoRR
Ryan A. Rossi, Nesreen K. Ahmed, Eunyee Koh, Sungchul Kim
2019 — conf
Neural caption generation over figures.
UbiComp/ISWC Adjunct
Charles Chen, Ruiyi Zhang, Sungchul Kim, Scott Cohen, Tong Yu, Ryan A. Rossi, Razvan C. Bunescu
2019 J jnl
Temporal Network Representation Learning.
CoRR
John Boaz Lee, Giang Hoang Nguyen, Ryan A. Rossi, Nesreen K. Ahmed, Eunyee Koh, Sungchul Kim
2019 A* conf
Towards Robust and Discriminative Sequential Data Learning: When and How to Perform Adversarial Training?
KDD
Xiaowei Jia, Sheng Li, Handong Zhao, Sungchul Kim, Vipin Kumar
2019 A* conf
Visualizing Uncertainty and Alternatives in Event Sequence Predictions.
CHI
Shunan Guo, Fan Du, Sana Malik, Eunyee Koh, Sungchul Kim, Zhicheng Liu, Donghyun Kim, Hongyuan Zha, Nan Cao
2018 J jnl
Attention Models in Graphs: A Survey.
CoRR
John Boaz Lee, Ryan A. Rossi, Sungchul Kim, Nesreen K. Ahmed, Eunyee Koh
2018 J jnl
Bridging Network Embedding and Graph Summarization.
CoRR
Di Jin, Ryan A. Rossi, Danai Koutra, Eunyee Koh, Sungchul Kim, Anup Rao
2018 — conf
Continuous-Time Dynamic Network Embeddings.
WWW (Companion Volume)
Giang Hoang Nguyen, John Boaz Lee, Ryan A. Rossi, Nesreen K. Ahmed, Eunyee Koh, Sungchul Kim
2018 — conf
Dynamic Network Embeddings: From Random Walks to Temporal Random Walks.
IEEE BigData
Giang Hoang Nguyen, John Boaz Lee, Ryan A. Rossi, Nesreen K. Ahmed, Eunyee Koh, Sungchul Kim
2018 J jnl
Higher-order Graph Convolutional Networks.
CoRR
John Boaz Lee, Ryan A. Rossi, Xiangnan Kong, Sungchul Kim, Eunyee Koh, Anup Rao
2018 A conf
Predictive Analysis by Leveraging Temporal User Behavior and User Embeddings.
CIKM
Charles Chen, Sungchul Kim, Hung Bui, Ryan A. Rossi, Eunyee Koh, Branislav Kveton, Razvan C. Bunescu
2018 — conf
Using Information in Access Logs for Large Scale Identity Linkage.
IEEE BigData
Leila Jalali, Sungchul Kim, Narayanan Krishnamoorthy, Rahul Biswas
2017 A conf
Predicting Online Purchase Conversion for Retargeting.
WSDM
Jinyoung Yeo, Sungchul Kim, Eunyee Koh, Seung-won Hwang, Nedim Lipka
2017 A* conf
Probabilistic Visitor Stitching on Cross-Device Web Logs.
WWW
Sungchul Kim, Nikhil Kini, Jay Pujara, Eunyee Koh, Lise Getoor
2017 — conf
WimNet: Vision Search for Web Logs.
WWW (Companion Volume)
Sungchul Kim, Sana Malik, Nedim Lipka, Eunyee Koh
2016 J jnl
A mutation profile for top-
Bioinform.
Sungchul Kim, Lee Sael, Hwanjo Yu
2016 C conf
An air-guided and fly-cutting system for biconic-Zernike surfaces.
CoDIT
HyungTae Kim, KiHyeong Song, Youngjae Choi, Sungchul Kim
2016 — conf
Browsing2purchase: Online Customer Model for Sales Forecasting in an E-Commerce Site.
WWW (Companion Volume)
Jinyoung Yeo, Sungchul Kim, Eunyee Koh, Seung-won Hwang, Nedim Lipka
2016 — conf
Purchase Influence Mining: Identifying Top-k Items Attracting Purchase of Target Item.
WWW (Companion Volume)
Sungchul Kim, Jinyoung Yeo, Eunyee Koh, Nedim Lipka
2016 J jnl
Spoiler detection in TV program tweets.
Inf. Sci.
Sungho Jeon, Sungchul Kim, Hwanjo Yu
2015 J jnl
A mutation profile for top-
Bioinform.
Sungchul Kim, Lee Sael, Hwanjo Yu
2015 J jnl
LMDS-based approach for efficient top-k local ligand-binding site search.
Int. J. Data Min. Bioinform.
Sungchul Kim, Lee Sael, Hwanjo Yu
2014 J jnl
Advertiser-centric approach to understand user click behavior in sponsored search.
Inf. Sci.
Sungchul Kim, Tao Qin, Tie-Yan Liu, Hwanjo Yu
2014 — conf
Identifying Cancer Subtypes based on Somatic Mutation Profile.
DTMBIO@CIKM
Sungchul Kim, Lee Sael, Hwanjo Yu
2014 J jnl
Processing time-dependent shortest path queries without pre-computed speed information on road networks.
Inf. Sci.
Jinha Kim, Wook-Shin Han, Jinoh Oh, Sungchul Kim, Hwanjo Yu
2014 J jnl
When to recommend: A new issue on TV show recommendation.
Inf. Sci.
Jinoh Oh, Sungchul Kim, Jinha Kim, Hwanjo Yu
2013 A conf
Don't Be Spoiled by Your Friends: Spoiler Detection in TV Program Tweets.
ICWSM
Sungho Jeon, Sungchul Kim, Hwanjo Yu
2013 — conf
Efficient local ligand-binding site search using landmark mds.
DTMBIO
Sungchul Kim, Lee Sael, Hwanjo Yu
2013 J jnl
Efficient protein structure search using indexing methods.
BMC Medical Informatics Decis. Mak.
Sungchul Kim, Lee Sael, Hwanjo Yu
2013 — conf
Fast protein 3D surface search.
ICUIMC
Sungchul Kim, Lee Sael, Hwanjo Yu
2012 — conf
Finding Core Topics: Topic Extraction with Clustering on Tweet.
CGC
Sungchul Kim, Sungho Jeon, Jinha Kim, Young-Ho Park, Hwanjo Yu
2012 — conf
Indexing methods for efficient protein 3D surface search.
DTMBIO@CIKM
Sungchul Kim, Lee Sael, Hwanjo Yu
2012 — conf
Multilingual Named Entity Recognition using Parallel Data and Metadata from Wikipedia.
ACL (1)
Sungchul Kim, Kristina Toutanova, Hwanjo Yu
2012 — ch.
SVM Tutorial - Classification, Regression and Ranking.
Handbook of Natural Computing
Hwanjo Yu, Sungchul Kim
2011 A conf
Advertiser-centric approach to understand user click behavior in sponsored search.
CIKM
Sungchul Kim, Tao Qin, Hwanjo Yu, Tie-Yan Liu
2010 J jnl
Enabling multi-level relevance feedback on PubMed by integrating rank learning into DBMS.
BMC Bioinform.
Hwanjo Yu, Taehoon Kim, Jinoh Oh, Ilhwan Ko, Sungchul Kim, Wook-Shin Han
2010 A* conf
Passive Sampling for Regression.
ICDM
Hwanjo Yu, Sungchul Kim
2010 A conf
RankSVR: can preference data help regression?
CIKM
Hwanjo Yu, Sungchul Kim, Seung-Hoon Na
2009 — conf
Enabling multi-level relevance feedback on pubmed by integrating rank learning into DBMS.
DTMBIO
Hwanjo Yu, Taehoon Kim, Jinoh Oh, Ilhwan Ko, Sungchul Kim, Wook-Shin Han
2009 A conf
RefMed: relevance feedback retrieval system fo PubMed.
CIKM
Hwanjo Yu, Taehoon Kim, Jinoh Oh, Ilhwan Ko, Sungchul Kim
2009 A conf
VRIFA: a nonlinear SVM visualization tool using nomogram and localized radial basis function (LRBF) kernels.
CIKM
Ngo Anh Vien, Nguyen Hoang Viet, TaeChoong Chung, Hwanjo Yu, Sungchul Kim, Baek Hwan Cho
2006 C conf
Nano Control Algorithm for Grinding and Polishing Aspherical Surface.
ETFA
HyungTae Kim, HaeJeong Yang, Sungchul Kim
2006 — conf
Theoretical Analysis of Optical CDMA Encoder/Decoder using an Array of Superstructured Fiber Bragg Gragings.
Wireless and Optical Communications
Sungchul Kim, Seoyong Shin