Sungchul Kim

Senior Research Scientist

San Jose

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.

Publications

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

Nguyen, Dang., Chen, Jian., Wang, Yu., Wu, Gang., Park, Namyong., Hu, Zhengmian., Lyu, Hanjia., Wu, Junda., Aponte, Ryan., Xia, Yu., Li, Xintong., Shi, Jing., Chen, Hongjie., Lai, Viet., Xie, Zhouhang., Kim, Sungchul., Zhang, Ruiyi., Yu, Tong., Tanjim, Mehrab., Ahmed, Nesreen., Mathur, Puneet., Yoon, David., Yao, Lina., Kveton, Branislav., Kil, Jihyung., Nguyen, Thien., Bui, Trung., Zhou, Tianyi., Rossi, Ryan., Dernoncourt, Franck. (Aug. 1, 2025)

ACL 2025 Findings

From Selection to Generation: A Survey of LLM-based Active Learning

Xia, Yu., Mukherjee, Subhojyoti., Xie, Zhouhang., Wu, Junda., Li, Xintong., Aponte, Ryan., Lyu, Hanjia., Barrow, Joe., Chen, Hongjie., Dernoncourt, Franck., Kveton, Branislav., Yu, Tong., Zhang, Ruiyi., Gu, Jiuxiang., Ahmed, Nesreen., Wang, Yu., Chen, Xiang., Deilamsalehy, Hanieh., Kim, Sungchul., Hu, Zhengmian., Zhao, Yue., Lipka, Nedim., Yoon, David., Huang, Ting-Hao., Wang, Zichao., Mathur, Puneet., Pal, Soumyabrata., Mukherjee, Koyel., Zhang, Zhehao., Park, Namyong., Nguyen, Thien., Luo, Jiebo., Rossi, Ryan., McAuley, Julian. (Aug. 1, 2025)

ACL 2025

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

Tanjim, Mehrab., In, Yeonjun., Chen, Xiang., Bursztyn, Victor., Rossi, Ryan., Kim, Sungchul., Ren, Guang-Jie., Muppala, Vaishnavi., Jiang, Shun., Kim, Yongsung., Park, Chanyoung. (May. 18, 2025)

arXiv

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

Gallegos, Isabel., Aponte, Ryan., Rossi, Ryan., Barrow, Joe., Tanjim, Mehrab., Yu, Tong., Deilamsalehy, Hanieh., Zhang, Ruiyi., Kim, Sungchul., Dernoncourt, Franck., Lipka, Nedim., Owens, Deonna., Gu, Jiuxiang. (May. 4, 2025)

NAACL 2025

Personalizing Data Delivery: Investigating User Characteristics and Enhancing LLM Predictions

Luera, Reuben., Rossi, Ryan., Dernoncourt, Franck., Siu, Alexa., Kim, Sungchul., Yu, Tong., Zhang, Ruiyi., Chen, Xiang., Lipka, Nedim., Zhang, Zhehao., Kim, Seon., Lee, Tak. (May. 2, 2025)

WWW 2025

Knowledge-Aware Query Expansion with Large Language Models for Textual and Relational Retrieval

Xia, Yu., Wu, Junda., Kim, Sungchul., Yu, Tong., Rossi, Ryan., Wang, Haoliang., McAuley, Julian. (Apr. 29, 2025)

The North American Chapter of the Association for Computational Linguistics (NAACL)

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

In, Yeonjun., Kim, Sungchul., Rossi, Ryan., Tanjim, Mehrab., Yu, Tong., Sinha, Ritwik., Park, Chanyoung., Kim, Kim. (Apr. 29, 2025)

The North American Chapter of the Association for Computational Linguistics (NAACL)

Interactive Visualization Recommendation with Hier-SUCB

Hu, Songwen., Rossi, Ryan., Yu, Tong., Wu, Junda., Zhao, Handong., Kim, Sungchul., Li, Shuai. (Apr. 28, 2025)

The Web Conference

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

abdallah, mustafa., Rossi, Ryan., Mahadik, Kanak., Kim, Sungchul., Zhao, Handong., Bagchi, Saurabh. (Mar. 11, 2025)

ACM Transactions on Knowledge Discovery from Data

Exploring Rewriting Approaches for Different Conversational Tasks

Tanjim, Md., Rossi, Ryan., Rimer, Mike., Chen, Xiang., Kim, Sungchul., Muppala, Vaishnavi., Yu, Tong., Hu, Zhengmian., Sinha, Ritwik., Zhang, Wei., Burhanuddin, Iftikhar., Dernoncourt, Franck. (Feb. 26, 2025)

Arxiv

Augment before You Try: Knowledge-Enhanced Table Question Answering via Table Expansion

Liu, Yujian., Ji, Jiabao., Yu, Tong., Rossi, Ryan., Kim, Sungchul., Zhao, Handong., Sinha, Ritwik., Zhang, Yang., Chang, Shiyu. (Jan. 28, 2025)

Arxiv

Advancing Vision-Language Models with Adapter Ensemble Strategies

Bai, Yue., Zhao, Handong., Lin, Zhe., Kale, Ajinkya., Gu, Jiuxiang., Yu, Tong., Kim, Sungchul., Fu, Yun. (Nov. 12, 2024)

EMNLP

DeCoT: Debiasing Chain-of-Thought for Knowledge-Intensive Tasks in Large Language Models via Causal Intervention

Wu, Junda., Yu, Tong., Chen, Xiang., Wang, Haoliang., Rossi, Ryan., Kim, Sungchul., Rao, Anup., McAuley, Julian. (Aug. 11, 2024)

The Annual Meeting of the Association for Computational Linguistics (ACL)

Editing Partially Observable Networks via Graph Diffusion Models

Trivedi, Puja., Rossi, Ryan., Arbour, David., Yu, Tong., Dernoncourt, Franck., Kim, Sungchul., Lipka, Nedim., Park, Namyong., Ahmed, Nesreen., Koutra, Danai. (Jul. 27, 2024)

ICML 2024

Bias and Fairness in Large Language Models: A Survey

Gallegos, Isabel., Rossi, Ryan., Barrow, Joe., Tanjim, Mehrab., Kim, Sungchul., Dernoncourt, Franck., Yu, Tong., Zhang, Ruiyi., Ahmed, Nesreen. (Jun. 11, 2024)

Computational Linguistics 2024

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

Chen, Hongjie., Rossi, Ryan., Kim, Sungchul., Mahadik, Kanak., Eldardiry, Hoda. (Apr. 25, 2024)

Pacific-Asia Conference on Knowledge Discovery and Data Mining

Hallucination Diversity-Aware Active Learning for Text Summarization

Xia, Yu., Liu, Xu., Yu, Tong., Kim, Sungchul., Rossi, Ryan., Rao, Anup., Mai, Tung., Li, Shuai. (Apr. 2, 2024)

Annual Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics (NAACL)

Which LLM to Play? Convergence-Aware Online Model Selection with Time-Increasing Bandits

Xia, Yu., Kong, Fang., Yu, Tong., Guo, Liya., Rossi, Ryan., Kim, Sungchul., Li, Shuai. (Mar. 11, 2024)

The Web Conference

Interpretable Unsupervised Log Anomaly Detection

Bang, Jaeho., Kim, Sungchul., Rossi, Ryan., Yu, Tong., Zhao, Handong. (Dec. 15, 2023)

IEEE International Conference on Big Data (BigData)

Hypergraph Neural Networks for Time-series Forecasting

Chen, Hongjie., Rossi, Ryan., Mahadik, Kanak., Kim, Sungchul., Eldardiry, Hoda. (Dec. 15, 2023)

IEEE International Conference on Big Data (BigData)

Content-aware Progressive Image Compression and Syncing

Wu, Junda., Wang, Haoliang., Yu, Tong., Zhao, Handong., Wu, Gang., Petrangeli, Stefano., Kim, Sungchul., Swaminathan, Vishy. (Dec. 11, 2023)

IEEE International Symposium on Multimedia (ISM)

User-Regulation Deconfounded Conversational Recommender System with Bandit Feedback

Xia, Yu., Wu, Junda., Yu, Tong., Kim, Sungchul., Rossi, Ryan., Li, Shuai. (Aug. 4, 2023)

ACM SIGKDD Conference on Knowledge Discovery and Data Mining

Implicit Session Contexts for Next-Item Recommendations

Oh, Sejoon., Bhardwaj, Ankur., Han, Jongseok., Kim, Sungchul., Rossi, Ryan., Kumar, Srijan. (Oct. 22, 2022)

ACM International Conference on Information & Knowledge Management (CIKM)

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

Qin, Can., Kim, Sungchul., Zhao, Handong., Yu, Tong., Rossi, Ryan., Fu, Yun. (Aug. 14, 2022)

ACM SIGKDD Conference on Knowledge Discovery and Data Mining

CGC: Contrastive Graph Clustering forCommunity Detection and Tracking

Park, Namyong., Rossi, Ryan., Koh, Eunyee., Burhanuddin, Iftikhar., Kim, Sungchul., Du, Fan., Ahmed, Nesreen., Faloutsos, Christos. (Apr. 25, 2022)

ACM Web Conference (WebConf)

On Generalizing Static Node Embedding to Dynamic Settings

Jin, Di., Kim, Sungchul., Rossi, Ryan., Koutra, Danai. (Feb. 15, 2022)

ACM International Conference on Web Search and Data Mining

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

Rossi, Ryan., Rao, Anup., Kim, Sungchul., Koh, Eunyee., Ahmed, Nesreen., Wu, Gang. (Oct. 26, 2021)

ACM International Conference on Information & Knowledge Management (CIKM)

Influence-guided Data Augmentation for Neural Tensor Completion

Oh, Sejoon., Kim, Sungchul., Rossi, Ryan., Kumar, Srijan. (Aug. 23, 2021)

ACM International Conference on Information and Knowledge Management

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

Rossi, Ryan., Jin, Di., Kim, Sungchul., Ahmed, Nesreen., Koutra, Danai., Lee, John., Rossi, Rossi. (Jun. 1, 2020)

Transactions on Knowledge Discovery from Data (TKDD)

A Structural Graph Representation Learning Framework

Rossi, Ryan., Ahmed, Nesreen., Koh, Eunyee., Kim, Sungchul., Rao, Anup., Abbasi-Yadkori, Yasin. (Feb. 4, 2020)

Proceedings of the ACM International Conference on Web Search and Data Mining (WSDM)

Graph Convolutional Networks with Motif-based Attention

Lee, John., Rossi, Ryan., Kong, Xiangnan., Kim, Sungchul., Koh, Eunyee., Rao, Anup. (Nov. 3, 2019)

CIKM, 2019

Heterogeneous Network Motifs

Rossi, Ryan., Ahmed, Nesreen., Carranza, Aldo., Arbour, David., Rao, Anup., Kim, Sungchul., Koh, Eunyee. (Aug. 5, 2019)

MLG KDD

Towards Robust and Discriminative Sequential Data Learning: When and How to Perform Adversarial Training?

Jia, Xiaowei., Li, Sheng., Zhao, Handong., Kim, Sungchul., Kumar, Vipin. (Aug. 4, 2019)

KDD

Latent Network Summarization: Bridging Network Embedding and Summarization

Jin, Di., Rossi, Ryan., Koutra, Danai., Koh, Eunyee., Kim, Sungchul., Rao, Anup. (Aug. 4, 2019)

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

Domain Switch-Aware Holistic Recurrent Neural Network for Modeling Multi-Domain User Behavior

Kim, Donghyun., Kim, Sungchul., Zhao, Handong., Li, Sheng., Rossi, Ryan., Koh, Eunyee. (Feb. 11, 2019)

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

Visualizing Uncertainty and Alternatives in Event Sequence Predictions

Guo, Shunan., Du, Fan., Malik, Sana., Koh, Eunyee., Kim, Sungchul., Liu, Leo., Kim, Donghyun., Zha, Hongyuan., Cao, Nan. (Jan. 4, 2019)

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

Dynamic Network Embeddings: From Random Walks to Temporal Random Walks

Nguyen, Giang., Lee, John., Rossi, Ryan., Ahmed, Nesreen., Koh, Eunyee., Kim, Sungchul. (Dec. 10, 2018)

2018 IEEE International Conference on Big Data (Big Data)

Conversion Prediction from Clickstream: Modeling Market Prediction and Customer Predictability

Yeo, Jinyoung., Hwang, Seung-won., Kim, Sungchul., Koh, Eunyee., Lipka, Nedim. (Nov. 30, 2018)

IEEE Transactions on Knowledge and Data Engineering

Predictive Analysis by Leveraging Temporal User Behavior

Chen, Charles., Kim, Sungchul., Bui, Hung., Rossi, Ryan., Kveton, Branislav., Koh, Eunyee., Bunescu, Razvan. (Oct. 22, 2018)

CIKM'18

Perceptual Similarity Ranking of Temporal Heatmaps Using Convolutional Neural Networks

Malik, Sana., Kim, Sungchul., Koh, Eunyee. (Oct. 22, 2018)

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

Attention Models in Graphs: A Survey

Lee, John., Rossi, Ryan., Kim, Sungchul., Ahmed, Nesreen., Koh, Eunyee. (Jul. 20, 2018)

Transactions on Knowledge Discovery from Data (TKDD)

Continuous-Time Dynamic Network Embeddings

Nguyen, Giang., Lee, John., Rossi, Ryan., Ahmed, Nesreen., Koh, Eunyee., Kim, Sungchul. (Apr. 27, 2018)

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

Continuous-Time Dynamic Network Embeddings

Nguyen, Giang., Lee, John., Rossi, Ryan., Ahmed, Nesreen., Koh, Eunyee., Kim, Sungchul. (Apr. 23, 2018)

WWW BigNet, 2018

Probabilistic Visitor Stitching on Cross-device Web Logs

Kim, Sungchul., Kini, Nikhil., Pujara, Jay., Getoor, Lise., Koh, Eunyee. (Apr. 3, 2017)

WWW

Predicting Online Purchase Conversion for Retargeting

Yeo, Jinyoung., Kim, Sungchul., Koh, Eunyee., Hwang, Seung-won., Lipa, Nedim. (Feb. 6, 2017)

WSDM

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