Sungchul Kim

Orcid: 0000-0003-3580-5290

According to our database1, Sungchul Kim authored at least 164 papers between 2006 and 2026.

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Bibliography

2026
A Survey on LLM-based Conversational User Simulation.
CoRR, April, 2026

Rethinking Failure Attribution in Multi-Agent Systems: A Multi-Perspective Benchmark and Evaluation.
CoRR, March, 2026

Reasoning-Based Personalized Generation for Users with Sparse Data.
CoRR, February, 2026

Do Large Multimodal Models Solve Caption Generation for Scientific Figures? Lessons Learned from SciCap Challenge 2023.
Trans. Assoc. Comput. Linguistics, 2026

Multi-Agent Collaborative Filtering: Orchestrating Users and Items for Agentic Recommendations.
Proceedings of the ACM Web Conference 2026, 2026


VipAct: Visual-Perception Enhancement via Specialized VLM Agent Collaboration and Tool-use.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025
Five Years of SciCap: What We Learned and Future Directions for Scientific Figure Captioning.
CoRR, December, 2025

Charts Are Not Images: On the Challenges of Scientific Chart Editing.
CoRR, December, 2025

Metadata Enriched Multi-Instance Contrastive Learning for High-Quality Facial Skin Visual Representations.
Appl. Artif. Intell., December, 2025

MLLM as a UI Judge: Benchmarking Multimodal LLMs for Predicting Human Perception of User Interfaces.
CoRR, October, 2025

Towards Improving Long-Tail Entity Predictions in Temporal Knowledge Graphs through Global Similarity and Weighted Sampling.
CoRR, July, 2025

Improving the performance of optical inverse design of multilayer thin films using CNN-LSTM tandem neural networks.
CoRR, June, 2025

LaMP-Cap: Personalized Figure Caption Generation With Multimodal Figure Profiles.
CoRR, June, 2025

Disambiguation in Conversational Question Answering in the Era of LLM: A Survey.
CoRR, May, 2025

Evaluation-free Time-series Forecasting Model Selection via Meta-learning.
ACM Trans. Knowl. Discov. Data, April, 2025

WaterFlow: Learning Fast & Robust Watermarks using Stable Diffusion.
CoRR, April, 2025

Training Robust Graph Neural Networks by Modeling Noise Dependencies.
CoRR, February, 2025

Exploring Rewriting Approaches for Different Conversational Tasks.
CoRR, February, 2025

From Documents to Dialogue: Building KG-RAG Enhanced AI Assistants.
CoRR, February, 2025

Is Safety Standard Same for Everyone? User-Specific Safety Evaluation of Large Language Models.
CoRR, February, 2025

Pandora with Inaccurate Priors.
CoRR, February, 2025

Understanding How Paper Writers Use AI-Generated Captions in Figure Caption Writing.
CoRR, January, 2025

Multi-LLM Collaborative Caption Generation in Scientific Documents.
CoRR, January, 2025

Personalization of Large Language Models: A Survey.
Trans. Mach. Learn. Res., 2025

Personalizing Data Delivery: Investigating User Characteristics and Enhancing LLM Predictions.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025

Interactive Visualization Recommendation with Hier-SUCB.
Proceedings of the ACM on Web Conference 2025, 2025

FigCaps-HF: A Figure-to-Caption Generative Framework and Benchmark with Human Feedback.
Proceedings of the 15th International Conference on Recent Advances in Natural Language Processing, 2025

Multi-LLM Debiasing Framework.
Proceedings of the 15th International Conference on Recent Advances in Natural Language Processing, 2025


Knowledge-Aware Query Expansion with Large Language Models for Textual and Relational Retrieval.
Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

Diversify-verify-adapt: Efficient and Robust Retrieval-Augmented Ambiguous Question Answering.
Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

Self-Debiasing Large Language Models: Zero-Shot Recognition and Reduction of Stereotypes.
Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

Probabilistic Hypergraph Recurrent Neural Networks for Time-series Forecasting.
Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.1, 2025

Fully Dynamic Embedding into ℓp Spaces.
Proceedings of the Forty-second International Conference on Machine Learning, 2025

Few-shot Fine-grained Image Classification with Interpretable Prompt Learning through Distribution Alignment.
Proceedings of the 27th International Conference on Multimodal Interaction, 2025

A Quantitative Metric Selection Approach for Time-series Forecasting Foundation Models.
Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

SAND: Boosting LLM Agents with Self-Taught Action Deliberation.
Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

Mitigating Visual Knowledge Forgetting in MLLM Instruction-tuning via Modality-decoupled Gradient Descent.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

Disambiguation in Conversational Question Answering in the Era of LLMs and Agents: A Survey.
Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

LaMP-Cap: Personalized Figure Caption Generation With Multimodal Figure Profiles.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

Augment before You Try: Knowledge-Enhanced Table Question Answering via Table Expansion.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

Is Safety Standard Same for Everyone? User-Specific Safety Evaluation of Large Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

VisChatter: Enhance Synchronous Collaboration on Data Visualization Dashboard with Visual Annotations.
Proceedings of the 47th Annual Meeting of the Cognitive Science Society, 2025


Doc-React: Multi-page Heterogeneous Document Question-answering.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2025


2024
Fairness-Aware Graph Neural Networks: A Survey.
ACM Trans. Knowl. Discov. Data, July, 2024

Structured Dynamic Pricing: Optimal Regret in a Global Shrinkage Model.
J. Mach. Learn. Res., 2024

GUI Agents: A Survey.
CoRR, 2024

Personalized Multimodal Large Language Models: A Survey.
CoRR, 2024

Optimizing Data Delivery: Insights from User Preferences on Visuals, Tables, and Text.
CoRR, 2024

Survey of User Interface Design and Interaction Techniques in Generative AI Applications.
CoRR, 2024

A Survey of Small Language Models.
CoRR, 2024

Federated Large Language Models: Current Progress and Future Directions.
CoRR, 2024

Visual Prompting in Multimodal Large Language Models: A Survey.
CoRR, 2024

Learning to Reduce: Towards Improving Performance of Large Language Models on Structured Data.
CoRR, 2024

Learning to Reduce: Optimal Representations of Structured Data in Prompting Large Language Models.
CoRR, 2024

Self-Debiasing Large Language Models: Zero-Shot Recognition and Reduction of Stereotypes.
CoRR, 2024

Bias and Fairness in Large Language Models: A Survey.
Comput. Linguistics, 2024

Which LLM to Play? Convergence-Aware Online Model Selection with Time-Increasing Bandits.
Proceedings of the ACM on Web Conference 2024, 2024

Tackling Long-Tail Entities for Temporal Knowledge Graph Completion.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

Evolving Super Graph Neural Networks for Large-Scale Time-Series Forecasting.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2024

Hallucination Diversity-Aware Active Learning for Text Summarization.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Personalized Federated Learning for Text Classification with Gradient-Free Prompt Tuning.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024

Editing Partially Observable Networks via Graph Diffusion Models.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Advancing Vision-Language Models with Adapter Ensemble Strategies.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Are Large Language Models Capable of Causal Reasoning for Sensing Data Analysis?
Proceedings of the Workshop on Edge and Mobile Foundation Models, 2024

SciCapenter: Supporting Caption Composition for Scientific Figures with Machine-Generated Captions and Ratings.
Proceedings of the Extended Abstracts of the CHI Conference on Human Factors in Computing Systems, 2024

GPURank: A Cloud GPU Instance Recommendation System.
Proceedings of the IEEE International Conference on Big Data, 2024

A Study of Foundation Models for Large-scale Time-series Forecasting.
Proceedings of the IEEE International Conference on Big Data, 2024

DeCoT: Debiasing Chain-of-Thought for Knowledge-Intensive Tasks in Large Language Models via Causal Intervention.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023
Graph Deep Factors for Probabilistic Time-series Forecasting.
ACM Trans. Knowl. Discov. Data, February, 2023

Leveraging Graph Diffusion Models for Network Refinement Tasks.
CoRR, 2023

FigCaps-HF: A Figure-to-Caption Generative Framework and Benchmark with Human Feedback.
CoRR, 2023

User-Regulation Deconfounded Conversational Recommender System with Bandit Feedback.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Content-aware Progressive Image Compression and Syncing.
Proceedings of the IEEE International Symposium on Multimedia, 2023

Summaries as Captions: Generating Figure Captions for Scientific Documents with Automated Text Summarization.
Proceedings of the 16th International Natural Language Generation Conference, 2023

Direct Embedding of Temporal Network Edges via Time-Decayed Line Graphs.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

GPT-4 as an Effective Zero-Shot Evaluator for Scientific Figure Captions.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Hypergraph Neural Networks for Time-series Forecasting.
Proceedings of the IEEE International Conference on Big Data, 2023

Interpretable Unsupervised Log Anomaly Detection.
Proceedings of the IEEE International Conference on Big Data, 2023

Federated Domain Adaptation for Named Entity Recognition via Distilling with Heterogeneous Tag Sets.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022
Personalized Visualization Recommendation.
ACM Trans. Web, 2022

Graph Learning with Localized Neighborhood Fairness.
CoRR, 2022

CGC: Contrastive Graph Clustering for Community Detection and Tracking.
CoRR, 2022

CGC: Contrastive Graph Clustering forCommunity Detection and Tracking.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

VisGNN: Personalized Visualization Recommendationvia Graph Neural Networks.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

On Generalizing Static Node Embedding to Dynamic Settings.
Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

A 0.6 ㎛ Small Pixel for High Resolution CMOS Image Sensor with Full Well Capacity of 10, 000e- by Dual Vertical Transfer Gate Technology.
Proceedings of the IEEE Symposium on VLSI Technology and Circuits (VLSI Technology and Circuits 2022), 2022

Bundle MCR: Towards Conversational Bundle Recommendation.
Proceedings of the RecSys '22: Sixteenth ACM Conference on Recommender Systems, Seattle, WA, USA, September 18, 2022

External Knowledge Infusion for Tabular Pre-training Models with Dual-adapters.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Implicit Session Contexts for Next-Item Recommendations.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

AutoMARS: Searching to Compress Multi-Modality Recommendation Systems.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

AutoForecast: Automatic Time-Series Forecasting Model Selection.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Few-Shot Class-Incremental Learning for Named Entity Recognition.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021
Heterogeneous Graphlets.
ACM Trans. Knowl. Discov. Data, 2021

Dynamic Node Embeddings From Edge Streams.
IEEE Trans. Emerg. Top. Comput. Intell., 2021

Generating Accurate Caption Units for Figure Captioning.
Proceedings of the WWW '21: The Web Conference 2021, 2021

Edge: Enriching Knowledge Graph Embeddings with External Text.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

EXACTA: Explainable Column Annotation.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Learning to Recommend Visualizations from Data.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Graph Deep Factors for Forecasting with Applications to Cloud Resource Allocation.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Learning to Deceive Knowledge Graph Augmented Models via Targeted Perturbation.
Proceedings of the 9th International Conference on Learning Representations, 2021

From Closing Triangles to Higher-Order Motif Closures for Better Unsupervised Online Link Prediction.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Influence-guided Data Augmentation for Neural Tensor Completion.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Learning Contextualized Knowledge Structures for Commonsense Reasoning.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

2020
Conversion Prediction from Clickstream: Modeling Market Prediction and Customer Predictability.
IEEE Trans. Knowl. Data Eng., 2020

On Proximity and Structural Role-based Embeddings in Networks: Misconceptions, Techniques, and Applications.
ACM Trans. Knowl. Discov. Data, 2020

Learning Contextualized Knowledge Structures for Commonsense Reasoning.
CoRR, 2020

Graph Deep Factors for Forecasting.
CoRR, 2020

ML-based Visualization Recommendation: Learning to Recommend Visualizations from Data.
CoRR, 2020

From Static to Dynamic Node Embeddings.
CoRR, 2020

From Closing Triangles to Closing Higher-Order Motifs.
Proceedings of the Companion of The 2020 Web Conference 2020, 2020

Fast Hierarchical Graph Clustering in Linear-Time.
Proceedings of the Companion of The 2020 Web Conference 2020, 2020

A Structural Graph Representation Learning Framework.
Proceedings of the WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, 2020

Figure Captioning with Relation Maps for Reasoning.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

A Formative Study on Designing Accurate and Natural Figure Captioning Systems.
Proceedings of the Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems, 2020

Interactive Event Sequence Prediction for Marketing Analysts.
Proceedings of the Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems, 2020

2019
Attention Models in Graphs: A Survey.
ACM Trans. Knowl. Discov. Data, 2019

From Community to Role-based Graph Embeddings.
CoRR, 2019

Linear-time Hierarchical Community Detection.
CoRR, 2019

Higher-Order Ranking and Link Prediction: From Closing Triangles to Closing Higher-Order Motifs.
CoRR, 2019

Figure Captioning with Reasoning and Sequence-Level Training.
CoRR, 2019

Temporal Network Representation Learning.
CoRR, 2019

Heterogeneous Network Motifs.
CoRR, 2019

Domain Switch-Aware Holistic Recurrent Neural Network for Modeling Multi-Domain User Behavior.
Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, 2019

Latent Network Summarization: Bridging Network Embedding and Summarization.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Towards Robust and Discriminative Sequential Data Learning: When and How to Perform Adversarial Training?
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Neural caption generation over figures.
Proceedings of the 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2019 ACM International Symposium on Wearable Computers, 2019

Graph Convolutional Networks with Motif-based Attention.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Visualizing Uncertainty and Alternatives in Event Sequence Predictions.
Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems, 2019

2018
Bridging Network Embedding and Graph Summarization.
CoRR, 2018

Higher-order Graph Convolutional Networks.
CoRR, 2018

Continuous-Time Dynamic Network Embeddings.
Proceedings of the Companion of the The Web Conference 2018 on The Web Conference 2018, 2018

Predictive Analysis by Leveraging Temporal User Behavior and User Embeddings.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

Dynamic Network Embeddings: From Random Walks to Temporal Random Walks.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

Using Information in Access Logs for Large Scale Identity Linkage.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

2017
WimNet: Vision Search for Web Logs.
Proceedings of the 26th International Conference on World Wide Web Companion, 2017

Probabilistic Visitor Stitching on Cross-Device Web Logs.
Proceedings of the 26th International Conference on World Wide Web, 2017

Predicting Online Purchase Conversion for Retargeting.
Proceedings of the Tenth ACM International Conference on Web Search and Data Mining, 2017

2016
Spoiler detection in TV program tweets.
Inf. Sci., 2016

A mutation profile for top-<i>k</i> patient search exploiting Gene-Ontology and orthogonal non-negative matrix factorization.
Bioinform., 2016

Browsing2purchase: Online Customer Model for Sales Forecasting in an E-Commerce Site.
Proceedings of the 25th International Conference on World Wide Web, 2016

Purchase Influence Mining: Identifying Top-k Items Attracting Purchase of Target Item.
Proceedings of the 25th International Conference on World Wide Web, 2016

2015
LMDS-based approach for efficient top-k local ligand-binding site search.
Int. J. Data Min. Bioinform., 2015

2014
When to recommend: A new issue on TV show recommendation.
Inf. Sci., 2014

Processing time-dependent shortest path queries without pre-computed speed information on road networks.
Inf. Sci., 2014

Identifying Cancer Subtypes based on Somatic Mutation Profile.
Proceedings of the ACM 8th International Workshop on Data and Text Mining in Bioinformatics, 2014

2013
Efficient protein structure search using indexing methods.
BMC Medical Informatics Decis. Mak., 2013

Don't Be Spoiled by Your Friends: Spoiler Detection in TV Program Tweets.
Proceedings of the Seventh International Conference on Weblogs and Social Media, 2013

Fast protein 3D surface search.
Proceedings of the 7th International Conference on Ubiquitous Information Management and Communication, 2013

Efficient local ligand-binding site search using landmark mds.
Proceedings of the Proceeding of the 7rd International Workshop on Data and Text Mining in Bioinformatics, 2013

2012
SVM Tutorial - Classification, Regression and Ranking.
Proceedings of the Handbook of Natural Computing, 2012

Indexing methods for efficient protein 3D surface search.
Proceedings of the ACM sixth international workshop on Data and text mining in biomedical informatics, 2012

Finding Core Topics: Topic Extraction with Clustering on Tweet.
Proceedings of the 2012 Second International Conference on Cloud and Green Computing, 2012

Multilingual Named Entity Recognition using Parallel Data and Metadata from Wikipedia.
Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference, July 8-14, 2012, Jeju Island, Korea, 2012

2011
Advertiser-centric approach to understand user click behavior in sponsored search.
Proceedings of the 20th ACM Conference on Information and Knowledge Management, 2011

2010
Passive Sampling for Regression.
Proceedings of the ICDM 2010, 2010

RankSVR: can preference data help regression?
Proceedings of the 19th ACM Conference on Information and Knowledge Management, 2010

2009
Enabling multi-level relevance feedback on pubmed by integrating rank learning into DBMS.
Proceedings of the Proceeding of the 3rd International Workshop on Data and Text Mining in Bioinformatics, 2009

RefMed: relevance feedback retrieval system fo PubMed.
Proceedings of the 18th ACM Conference on Information and Knowledge Management, 2009

VRIFA: a nonlinear SVM visualization tool using nomogram and localized radial basis function (LRBF) kernels.
Proceedings of the 18th ACM Conference on Information and Knowledge Management, 2009

2006
Theoretical Analysis of Optical CDMA Encoder/Decoder using an Array of Superstructured Fiber Bragg Gragings.
Proceedings of the Sixth IASTED International Multi-Conference on Wireless and Optical Communications: Conference on Communication Systems and Applications, 2006


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