Sungchul Kim

I am a Senior Research Scientist at Adobe Research, holding a Ph.D. in Computer Science and Engineering from the Pohang University of Science and Technology (POSTECH), which I earned in the summer of 2015. Under the guidance of Prof. Hwanjo Yu, my doctoral research focused on developing mutation profiles for the top-k patient search and stratifying cancer subtypes. My expertise lies in data representation and analysis, employing various data mining techniques such as regression, ranking, and dimensionality reduction. More recently, my work has pivoted towards generative AI in the context of industrial analytics tools.

AI & Machine Learning Intelligent Agents & Assistants Natural Language Processing

Publications

November 10, 2026 AACL-IJCNLP 2026

Reasoning-Based Personalized Generation for Sparse Users

Bo Ni, Branislav Kveton, Samyadeep Basu, Subhojyoti Mukherjee, Leyao Wang, Franck Dernoncourt, Sungchul Kim, David Seunghyun Yoon, Jack Wang, Ruiyi Zhang, Puneet Mathur, Jihyung Kil, Jiuxiang Gu, Nedim Lipka, Yu Wang, Ryan A. Rossi, Tyler Derr

AI & Machine Learning Intelligent Agents & Assistants Natural Language Processing

April 25, 2026 ICLR 2026

Charts Are Not Images: On the Challenges of Scientific Chart Editing

Li Li, Ryan A. Rossi, Sungchul Kim, Sunav Choudhary, Franck Dernoncourt, Puneet Mathur, Zhengzhong Tu, Yue Zhao

AI & Machine Learning Computer Vision, Imaging & Video Document Intelligence

March 29, 2026 EACL 2026

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 Siu, Zichao Wang, David Seunghyun Yoon, Nedim Lipka, Namyong Park, Zihao Lin, Trung Bui, Yue Zhao, Tyler Derr, Ryan A. Rossi

AI & Machine Learning Intelligent Agents & Assistants Natural Language Processing

January 27, 2026 AAAI 2026

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

AI & Machine Learning Computer Vision, Imaging & Video Content Intelligence

November 9, 2025 EMNLP 2025 Findings

LaMP-Cap: Personalized Figure Caption Generation With Multimodal Figure Profiles

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

AI & Machine Learning Document Intelligence Intelligent Agents & Assistants

September 27, 2025 Foundations and Trends in Human-Computer Interaction

Survey on User Interface Design and Interactions for Generative AI Applications

Reuben Luera, Ryan A. Rossi, Alexa Siu, Franck Dernoncourt, Tong Yu, Sungchul Kim, Ruiyi Zhang, Xiang Chen, Hanieh Salehy, Nedim Lipka, Samyadeep Basu, Puneet Mathur, Jian Zhao

AI & Machine Learning Human Computer Interaction Intelligent Agents & Assistants

September 10, 2025 RANLP 2025

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 Bursztyn, Nesreen K. Ahmed, Puneet Mathur, Erik Learned-Miller, Franck Dernoncourt, Ryan A. Rossi

AI & Machine Learning Document Intelligence Natural Language Processing

September 10, 2025 RANLP 2025

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

AI & Machine Learning Document Intelligence Natural Language Processing

September 10, 2025 RANLP 2025

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

AI & Machine Learning Document Intelligence Natural Language Processing

August 1, 2025 ACL 2025 Findings

Click, Type, Repeat: A Comprehensive Survey on GUI Agents

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 Lai, Zhouhang Xie, Sungchul Kim, Ruiyi Zhang, Tong Yu, Mehrab Tanjim, Nesreen K. Ahmed, Puneet Mathur, David Seunghyun Yoon, Lina Yao, Branislav Kveton, Jihyung Kil, Thien Huu Nguyen, Trung Bui, Tianyi Zhou, Ryan A. Rossi, Franck Dernoncourt

AI & Machine Learning Intelligent Agents & Assistants Natural Language Processing

August 1, 2025 ACL 2025

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, David 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 McAuley

AI & Machine Learning Natural Language Processing

June 30, 2025 TMLR 2025

Personalization of Large Language Models: A Survey

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

AI & Machine Learning Document Intelligence Intelligent Agents & Assistants

May 18, 2025 arXiv

Disambiguation in Conversational Question Answering in the Era of LLM: A Survey

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

AI & Machine Learning Intelligent Agents & Assistants Natural Language Processing

May 4, 2025 NAACL 2025

Self-Debiasing Large Language Models: Zero-Shot Recognition and Reduction of Stereotypes

Isabel O. Gallegos, Ryan Aponte, Ryan A. Rossi, Joe Barrow, Mehrab Tanjim, Tong Yu, Hanieh Deilamsalehy, Ruiyi Zhang, Sungchul Kim, Franck Dernoncourt, Nedim Lipka, Deonna Owens, Jiuxiang Gu

AI & Machine Learning Natural Language Processing

May 2, 2025 WWW 2025

Personalizing Data Delivery: Investigating User Characteristics and Enhancing LLM Predictions

Reuben Luera, Ryan A. Rossi, Franck Dernoncourt, Alexa Siu, Sungchul Kim, Tong Yu, Ruiyi Zhang, Xiang Chen, Nedim Lipka, Zhehao Zhang, Seon Gyeom Kim, Tak Yeon Lee

AI & Machine Learning Human Computer Interaction Intelligent Agents & Assistants

April 29, 2025 The North American Chapter of the Association for Computational Linguistics (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 McAuley

Natural Language Processing

April 29, 2025 The North American Chapter of the Association for Computational Linguistics (NAACL)

Diversify-verify-adapt: Efficient and Robust Retrieval-Augmented Ambiguous Question Answering

Yeonjun In, Sungchul Kim, Ryan A. Rossi, Mehrab Tanjim, Tong Yu, Ritwik Sinha, Chanyoung Park, Kim

Natural Language Processing

April 28, 2025 The Web Conference

Interactive Visualization Recommendation with Hier-SUCB

Songwen Hu, Ryan A. Rossi, Tong Yu, Junda Wu, Handong Zhao, Sungchul Kim, Shuai Li

AI & Machine Learning

March 11, 2025 ACM Transactions on Knowledge Discovery from Data

Evaluation-Free Time-Series Forecasting Model Selection via Meta-Learning

mustafa abdallah, Ryan A. Rossi, Kanak Mahadik, Sungchul Kim, Handong Zhao, Saurabh Bagchi

AI & Machine Learning

February 26, 2025 Arxiv

Exploring Rewriting Approaches for Different Conversational Tasks

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

Intelligent Agents & Assistants Natural Language Processing

January 28, 2025 EMNLP 2025

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

Intelligent Agents & Assistants Natural Language Processing

November 12, 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

AI & Machine Learning Computer Vision, Imaging & Video Natural Language Processing

August 11, 2024 The Annual Meeting of the Association for Computational Linguistics (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 Rao, Julian McAuley

Natural Language Processing

July 27, 2024 ICML 2024

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

AI & Machine Learning

June 11, 2024 Computational Linguistics 2024

Bias and Fairness in Large Language Models: A Survey

Isabel O. Gallegos, Ryan A. Rossi, Joe Barrow, Mehrab Tanjim, Sungchul Kim, Franck Dernoncourt, Tong Yu, Ruiyi Zhang, Nesreen K. Ahmed

AI & Machine Learning Natural Language Processing

April 25, 2024 Pacific-Asia Conference on Knowledge Discovery and Data Mining

Evolving Super Graph Neural Networks for Large-scale Time-Series Forecasting

Hongjie Chen, Ryan A. Rossi, Sungchul Kim, Kanak Mahadik, Hoda Eldardiry

AI & Machine Learning

April 2, 2024 Annual Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics (NAACL)

Hallucination Diversity-Aware Active Learning for Text Summarization

Yu Xia, Xu Liu, Tong Yu, Sungchul Kim, Ryan A. Rossi, Anup Rao, Tung Mai, Shuai Li

Natural Language Processing

March 11, 2024 The Web Conference

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

Natural Language Processing

December 15, 2023 IEEE International Conference on Big Data (BigData)

Interpretable Unsupervised Log Anomaly Detection

Jaeho Bang, Sungchul Kim, Ryan A. Rossi, Tong Yu, Handong Zhao

Natural Language Processing

December 15, 2023 IEEE International Conference on Big Data (BigData)

Hypergraph Neural Networks for Time-series Forecasting

Hongjie Chen, Ryan A. Rossi, Kanak Mahadik, Sungchul Kim, Hoda Eldardiry

AI & Machine Learning

December 11, 2023 IEEE International Symposium on Multimedia (ISM)

Content-aware Progressive Image Compression and Syncing

Junda Wu, Haoliang Wang, Tong Yu, Handong Zhao, Gang Wu, Stefano Petrangeli, Sungchul Kim, Vishy Swaminathan

AI & Machine Learning Computer Vision, Imaging & Video

August 4, 2023 ACM SIGKDD Conference on Knowledge Discovery and Data Mining

User-Regulation Deconfounded Conversational Recommender System with Bandit Feedback

Yu Xia, Junda Wu, Tong Yu, Sungchul Kim, Ryan A. Rossi, Shuai Li

AI & Machine Learning

October 22, 2022 ACM International Conference on Information & Knowledge Management (CIKM)

Implicit Session Contexts for Next-Item Recommendations

Sejoon Oh, Ankur Bhardwaj, Jongseok Han, Sungchul Kim, Ryan A. Rossi, Srijan Kumar

AI & Machine Learning

August 14, 2022 ACM SIGKDD Conference on Knowledge Discovery and Data Mining

External Knowledge Infusion for Tabular Pre-training Models with Dual-adapters

Can Qin, Sungchul Kim, Handong Zhao, Tong Yu, Ryan A. Rossi, Yun Fu

Natural Language Processing

April 25, 2022 ACM Web Conference (WebConf)

CGC: Contrastive Graph Clustering forCommunity Detection and Tracking

Namyong Park, Ryan A. Rossi, Eunyee Koh, Iftikhar Ahamath Burhanuddin, Sungchul Kim, Fan Du, Nesreen Ahmed, Christos Faloutsos

AI & Machine Learning Data Intelligence

February 15, 2022 ACM International Conference on Web Search and Data Mining

On Generalizing Static Node Embedding to Dynamic Settings

Di Jin, Sungchul Kim, Ryan A. Rossi, Danai Koutra

AI & Machine Learning

October 26, 2021 ACM International Conference on Information & Knowledge Management (CIKM)

From closing triangles to higher-order motif closures for better unsupervised online link prediction

Ryan A. Rossi, Anup Rao, Sungchul Kim, Eunyee Koh, Nesreen K Ahmed, Gang Wu

AI & Machine Learning

August 23, 2021 ACM International Conference on Information and Knowledge Management

Influence-guided Data Augmentation for Neural Tensor Completion

Sejoon Oh, Sungchul Kim, Ryan A. Rossi, Srijan Kumar

AI & Machine Learning

June 1, 2020 Transactions on Knowledge Discovery from Data (TKDD)

On Proximity and Structural Role-based Embeddings in Networks: Misconceptions, Techniques, and Applications

Ryan A. Rossi, Di Jin, Sungchul Kim, Nesreen K. Ahmed, Danai Koutra, John Boaz Lee, Rossi

AI & Machine Learning Data Intelligence

February 4, 2020 Proceedings of the ACM International Conference on Web Search and Data Mining (WSDM)

A Structural Graph Representation Learning Framework

Ryan A. Rossi, Nesreen K. Ahmed, Eunyee Koh, Sungchul Kim, Anup Rao, Yasin Abbasi-Yadkori

AI & Machine Learning

November 3, 2019 CIKM, 2019

Graph Convolutional Networks with Motif-based Attention

John Boaz Lee, Ryan Rossi, Xiangnan Kong, Sungchul Kim, Eunyee Koh, Anup Rao

AI & Machine Learning

August 5, 2019 MLG KDD

Heterogeneous Network Motifs

Ryan A. Rossi, Nesreen K. Ahmed, Aldo Carranza, David Arbour, Anup Rao, Sungchul Kim, Eunyee Koh

AI & Machine Learning

August 4, 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

AI & Machine Learning Data Intelligence Natural Language Processing

August 4, 2019 KDD '19 Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining

Latent Network Summarization: Bridging Network Embedding and Summarization

Di Jin, Ryan A. Rossi, Danai Koutra, Eunyee Koh, Sungchul Kim, Anup Rao

AI & Machine Learning

February 11, 2019 WSDM '19 Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining

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

AI & Machine Learning

January 4, 2019 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI 2019)

Visualizing Uncertainty and Alternatives in Event Sequence Predictions

Shunan Guo, Fan Du, Sana Malik, Eunyee Koh, Sungchul Kim, Leo Zhicheng Liu, Donghyun Kim, Hongyuan Zha, Nan Cao

Data Intelligence Human Computer Interaction

December 10, 2018 2018 IEEE International Conference on Big Data (Big Data)

Dynamic Network Embeddings: From Random Walks to Temporal Random Walks

Giang Nguyen, John Boaz Lee, Ryan A. Rossi, Nesreen Ahmed, Eunyee Koh, Sungchul Kim

AI & Machine Learning

November 30, 2018 IEEE Transactions on Knowledge and Data Engineering

Conversion Prediction from Clickstream: Modeling Market Prediction and Customer Predictability

Jinyoung Yeo, Seung-won Hwang, Sungchul Kim, Eunyee Koh, Nedim Lipka

AI & Machine Learning Data Intelligence

October 22, 2018 CIKM'18

Predictive Analysis by Leveraging Temporal User Behavior

Charles Chen, Sungchul Kim, Hung Bui, Ryan A. Rossi, Branislav Kveton, Eunyee Koh, Razvan Bunescu

AI & Machine Learning Data Intelligence

October 22, 2018 Proceedings of the Workshop on Understanding Subjective Attributes of Data, with the Focus on Evoked Emotions (EE-USAD 2018)

Perceptual Similarity Ranking of Temporal Heatmaps Using Convolutional Neural Networks

Sana Malik, Sungchul Kim, Eunyee Koh

AI & Machine Learning Computer Vision, Imaging & Video Human Computer Interaction

July 20, 2018 Transactions on Knowledge Discovery from Data (TKDD)

Attention Models in Graphs: A Survey

John Boaz Lee, Ryan A. Rossi, Sungchul Kim, Nesreen K. Ahmed, Eunyee Koh

AI & Machine Learning

April 27, 2018 Proceedings of the 3rd International Workshop on Learning Representations for Big Networks (WWW BigNet)

Continuous-Time Dynamic Network Embeddings

Giang Hoang Nguyen, John Boaz Lee, Ryan A. Rossi, Nesreen K. Ahmed, Eunyee Koh, Sungchul Kim

AI & Machine Learning

April 23, 2018 WWW BigNet, 2018

Continuous-Time Dynamic Network Embeddings

Giang Hoang Nguyen, John Boaz Lee, Ryan A. Rossi, Nesreen K. Ahmed, Eunyee Koh, Sungchul Kim

AI & Machine Learning

April 3, 2017 WWW

Probabilistic Visitor Stitching on Cross-device Web Logs

Sungchul Kim, Nikhil Kini, Jay Pujara, Lise Getoor, Eunyee Koh

Data Intelligence

February 6, 2017 WSDM

Predicting Online Purchase Conversion for Retargeting

Jinyoung Yeo, Sungchul Kim, Eunyee Koh, Seung-won Hwang, Nedim Lipa

Data Intelligence

News

The Research behind Project Perfect Context: Bringing data from real-world events into Customer Journey Analytics

Project Perfect Context, an experimental tool built by Adobe Research and Customer Journey Analytics, integrates real-world data into AI-driven analysis—providing marketers deeper insights into customer behavior. Curious how this innovative project came together? Check out the behind-the-scenes story!

April 10, 2025