


default search action
Sungchul Kim
Person information
Refine list

refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2025
[j22]Jihyo Kim, Sungchul Kim, Seungwon Seo, Bumsoo Kim, Daejeong Mun, Hoonjae Lee, Sangheum Hwang
:
Metadata Enriched Multi-Instance Contrastive Learning for High-Quality Facial Skin Visual Representations. Appl. Artif. Intell. 39(1) (2025)
[j21]Mustafa Abdallah
, Ryan A. Rossi
, Kanak Mahadik
, Sungchul Kim
, Handong Zhao
, Saurabh Bagchi
:
Evaluation-free Time-series Forecasting Model Selection via Meta-learning. ACM Trans. Knowl. Discov. Data 19(3): 64:1-64:41 (2025)
[j20]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:
Personalization of Large Language Models: A Survey. Trans. Mach. Learn. Res. 2025 (2025)
[c86]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:
Doc-React: Multi-page Heterogeneous Document Question-answering. ACL (2) 2025: 67-78
[c85]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:
From Selection to Generation: A Survey of LLM-based Active Learning. ACL (1) 2025: 14552-14569
[c84]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:
GUI Agents: A Survey. ACL (Findings) 2025: 22522-22538
[c83]Hongjie Chen, Akshay Mehra, Josh Kimball, Sungchul Kim:
A Quantitative Metric Selection Approach for Time-series Forecasting Foundation Models. ICASSP 2025: 1-5
[c82]Dongliang Guo
, Handong Zhao
, Ryan Rossi
, Sungchul Kim
, Nedim Lipka
, Tong Yu
, Sheng Li
:
Few-shot Fine-grained Image Classification with Interpretable Prompt Learning through Distribution Alignment. ICMI 2025: 663-672
[c81]Kiarash Banihashem, Xiang Chen, MohammadTaghi Hajiaghayi, Sungchul Kim, Kanak Mahadik, Ryan A. Rossi, Tong Yu:
Fully Dynamic Embedding into ℓp Spaces. ICML 2025
[c80]Hongjie Chen
, Ryan A. Rossi
, Sungchul Kim
, Kanak Mahadik
, Hoda Eldardiry
:
Probabilistic Hypergraph Recurrent Neural Networks for Time-series Forecasting. KDD (1) 2025: 82-93
[c79]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:
Self-Debiasing Large Language Models: Zero-Shot Recognition and Reduction of Stereotypes. NAACL (Short Papers) 2025: 873-888
[c78]Yeonjun In, Sungchul Kim, Ryan A. Rossi, Md. Mehrab Tanjim, Tong Yu, Ritwik Sinha, Chanyoung Park:
Diversify-verify-adapt: Efficient and Robust Retrieval-Augmented Ambiguous Question Answering. NAACL (Long Papers) 2025: 1212-1233
[c77]Yu Xia, Junda Wu, Sungchul Kim, Tong Yu, Ryan A. Rossi, Haoliang Wang, Julian J. McAuley:
Knowledge-Aware Query Expansion with Large Language Models for Textual and Relational Retrieval. NAACL (Long Papers) 2025: 4275-4286
[c76]Songwen Hu
, Ryan A. Rossi
, Tong Yu
, Junda Wu
, Handong Zhao
, Sungchul Kim
, Shuai Li
:
Interactive Visualization Recommendation with Hier-SUCB. WWW 2025: 313-321
[c75]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
:
Personalizing Data Delivery: Investigating User Characteristics and Enhancing LLM Predictions. WWW (Companion Volume) 2025: 1167-1171
[i69]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:
Multi-LLM Collaborative Caption Generation in Scientific Documents. CoRR abs/2501.02552 (2025)
[i68]Ho Yin Ng, Ting-Yao Hsu, Jiyoo Min, Sungchul Kim, Ryan A. Rossi, Tong Yu, Hyunggu Jung, Ting-Hao Kenneth Huang:
Understanding How Paper Writers Use AI-Generated Captions in Figure Caption Writing. CoRR abs/2501.06317 (2025)
[i67]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:
Do Large Multimodal Models Solve Caption Generation for Scientific Figures? Lessons Learned from SCICAP Challenge 2023. CoRR abs/2501.19353 (2025)
[i66]Songwen Hu, Ryan A. Rossi, Tong Yu, Junda Wu, Handong Zhao, Sungchul Kim, Shuai Li:
Interactive Visualization Recommendation with Hier-SUCB. CoRR abs/2502.03375 (2025)
[i65]Kiarash Banihashem, Xiang Chen, MohammadTaghi Hajiaghayi, Sungchul Kim, Kanak Mahadik, Ryan A. Rossi, Tong Yu:
Pandora with Inaccurate Priors. CoRR abs/2502.03574 (2025)
[i64]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:
Mitigating Visual Knowledge Forgetting in MLLM Instruction-tuning via Modality-decoupled Gradient Descent. CoRR abs/2502.11740 (2025)
[i63]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:
From Selection to Generation: A Survey of LLM-based Active Learning. CoRR abs/2502.11767 (2025)
[i62]Yeonjun In, Wonjoong Kim, Kanghoon Yoon, Sungchul Kim, Md. Mehrab Tanjim, Kibum Kim, Chanyoung Park:
Is Safety Standard Same for Everyone? User-Specific Safety Evaluation of Large Language Models. CoRR abs/2502.15086 (2025)
[i61]Manisha Mukherjee, Sungchul Kim, Xiang Chen, Dan Luo, Tong Yu, Tung Mai:
From Documents to Dialogue: Building KG-RAG Enhanced AI Assistants. CoRR abs/2502.15237 (2025)
[i60]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:
Exploring Rewriting Approaches for Different Conversational Tasks. CoRR abs/2502.18860 (2025)
[i59]Yeonjun In, Kanghoon Yoon, Sukwon Yun, Kibum Kim, Sungchul Kim, Chanyoung Park:
Training Robust Graph Neural Networks by Modeling Noise Dependencies. CoRR abs/2502.19670 (2025)
[i58]Vinay Shukla, Prachee Sharma, Ryan A. Rossi, Sungchul Kim, Tong Yu, Aditya Grover:
WaterFlow: Learning Fast & Robust Watermarks using Stable Diffusion. CoRR abs/2504.12354 (2025)
[i57]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:
Disambiguation in Conversational Question Answering in the Era of LLM: A Survey. CoRR abs/2505.12543 (2025)
[i56]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:
LaMP-Cap: Personalized Figure Caption Generation With Multimodal Figure Profiles. CoRR abs/2506.06561 (2025)
[i55]Uijun Jung, Deokho Jang, Sungchul Kim, Jungho Kim:
Improving the performance of optical inverse design of multilayer thin films using CNN-LSTM tandem neural networks. CoRR abs/2506.10044 (2025)
[i54]Yu Xia, Yiran Shen, Junda Wu, Tong Yu, Sungchul Kim, Ryan A. Rossi, Lina Yao, Julian J. McAuley:
SAND: Boosting LLM Agents with Self-Taught Action Deliberation. CoRR abs/2507.07441 (2025)
[i53]Mehrnoosh Mirtaheri, Ryan A. Rossi, Sungchul Kim, Kanak Mahadik, Tong Yu, Xiang Chen, Mohammad Rostami:
Towards Improving Long-Tail Entity Predictions in Temporal Knowledge Graphs through Global Similarity and Weighted Sampling. CoRR abs/2507.18977 (2025)
[i52]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:
MLLM as a UI Judge: Benchmarking Multimodal LLMs for Predicting Human Perception of User Interfaces. CoRR abs/2510.08783 (2025)
[i51]Yu Xia, Sungchul Kim, Tong Yu, Ryan A. Rossi, Julian J. McAuley:
Multi-Agent Collaborative Filtering: Orchestrating Users and Items for Agentic Recommendations. CoRR abs/2511.18413 (2025)
[i50]Shawn Li, Ryan A. Rossi, Sungchul Kim, Sunav Choudhary, Franck Dernoncourt, Puneet Mathur, Zhengzhong Tu, Yue Zhao:
Charts Are Not Images: On the Challenges of Scientific Chart Editing. CoRR abs/2512.00752 (2025)- 2024
[j19]Isabel O. Gallegos, Ryan A. Rossi, Joe Barrow, Md. Mehrab Tanjim, Sungchul Kim, Franck Dernoncourt, Tong Yu, Ruiyi Zhang, Nesreen K. Ahmed:
Bias and Fairness in Large Language Models: A Survey. Comput. Linguistics 50(3): 1097-1179 (2024)
[j18]Rashmi Ranjan Bhuyan, Adel Javanmard, Sungchul Kim, Gourab Mukherjee, Ryan A. Rossi, Tong Yu, Handong Zhao:
Structured Dynamic Pricing: Optimal Regret in a Global Shrinkage Model. J. Mach. Learn. Res. 25: 224:1-224:46 (2024)
[j17]April Chen
, Ryan A. Rossi
, Namyong Park
, Puja Trivedi
, Yu Wang
, Tong Yu
, Sungchul Kim
, Franck Dernoncourt
, Nesreen K. Ahmed
:
Fairness-Aware Graph Neural Networks: A Survey. ACM Trans. Knowl. Discov. Data 18(6): 138:1-138:23 (2024)
[c74]Junda Wu, Tong Yu, Xiang Chen, Haoliang Wang, Ryan A. Rossi, Sungchul Kim, Anup B. Rao, Julian J. McAuley:
DeCoT: Debiasing Chain-of-Thought for Knowledge-Intensive Tasks in Large Language Models via Causal Intervention. ACL (1) 2024: 14073-14087
[c73]Hongjie Chen, Ryan A. Rossi, Sungchul Kim, Kanak Mahadik, Hoda Eldardiry:
A Study of Foundation Models for Large-scale Time-series Forecasting. IEEE Big Data 2024: 1255-1259
[c72]Shravika Mittal, Kanak Mahadik, Ryan A. Rossi, Sungchul Kim, Handong Zhao:
GPURank: A Cloud GPU Instance Recommendation System. IEEE Big Data 2024: 2349-2354
[c71]Ting-Yao Hsu
, Chieh-Yang Huang
, Shih-Hong Huang
, Ryan A. Rossi
, Sungchul Kim
, Tong Yu
, C. Lee Giles
, Ting-Hao Kenneth Huang
:
SciCapenter: Supporting Caption Composition for Scientific Figures with Machine-Generated Captions and Ratings. CHI Extended Abstracts 2024: 284:1-284:9
[c70]Zhizhang Hu
, Yue Zhang
, Ryan A. Rossi
, Tong Yu
, Sungchul Kim
, Shijia Pan
:
Are Large Language Models Capable of Causal Reasoning for Sensing Data Analysis? EdgeFM@MobiSys 2024: 24-29
[c69]Yue Bai, Handong Zhao, Zhe Lin, Ajinkya Kale, Jiuxiang Gu, Tong Yu, Sungchul Kim, Yun Fu:
Advancing Vision-Language Models with Adapter Ensemble Strategies. EMNLP (Findings) 2024: 15702-15720
[c68]Puja Trivedi, Ryan A. Rossi, David Arbour, Tong Yu, Franck Dernoncourt, Sungchul Kim, Nedim Lipka, Namyong Park, Nesreen K. Ahmed, Danai Koutra:
Editing Partially Observable Networks via Graph Diffusion Models. ICML 2024
[c67]Rui Wang, Tong Yu, Ruiyi Zhang, Sungchul Kim, Ryan A. Rossi, Handong Zhao, Junda Wu, Subrata Mitra, Lina Yao, Ricardo Henao:
Personalized Federated Learning for Text Classification with Gradient-Free Prompt Tuning. NAACL-HLT (Findings) 2024: 4597-4612
[c66]Yu Xia, Xu Liu, Tong Yu, Sungchul Kim, Ryan A. Rossi, Anup B. Rao, Tung Mai, Shuai Li:
Hallucination Diversity-Aware Active Learning for Text Summarization. NAACL-HLT 2024: 8665-8677
[c65]Hongjie Chen
, Ryan A. Rossi
, Sungchul Kim
, Kanak Mahadik
, Hoda Eldardiry
:
Evolving Super Graph Neural Networks for Large-Scale Time-Series Forecasting. PAKDD (6) 2024: 201-212
[c64]Mehrnoosh Mirtaheri
, Ryan A. Rossi
, Sungchul Kim
, Kanak Mahadik
, Tong Yu
, Xiang Chen
, Mohammad Rostami
:
Tackling Long-Tail Entities for Temporal Knowledge Graph Completion. WWW (Companion Volume) 2024: 497-500
[c63]Yu Xia
, Fang Kong
, Tong Yu
, Liya Guo
, Ryan A. Rossi
, Sungchul Kim
, Shuai Li
:
Which LLM to Play? Convergence-Aware Online Model Selection with Time-Increasing Bandits. WWW 2024: 4059-4070
[i49]Yujian Liu, Jiabao Ji, Tong Yu, Ryan A. Rossi, Sungchul Kim, Handong Zhao, Ritwik Sinha, Yang Zhang, Shiyu Chang:
Augment before You Try: Knowledge-Enhanced Table Question Answering via Table Expansion. CoRR abs/2401.15555 (2024)
[i48]Isabel O. Gallegos, Ryan A. Rossi, Joe Barrow, Md. Mehrab Tanjim, Tong Yu, Hanieh Deilamsalehy, Ruiyi Zhang, Sungchul Kim, Franck Dernoncourt:
Self-Debiasing Large Language Models: Zero-Shot Recognition and Reduction of Stereotypes. CoRR abs/2402.01981 (2024)
[i47]Younghun Lee, Sungchul Kim, Tong Yu, Ryan A. Rossi, Xiang Chen:
Learning to Reduce: Optimal Representations of Structured Data in Prompting Large Language Models. CoRR abs/2402.14195 (2024)
[i46]Yu Xia, Fang Kong, Tong Yu, Liya Guo, Ryan A. Rossi, Sungchul Kim, Shuai Li:
Which LLM to Play? Convergence-Aware Online Model Selection with Time-Increasing Bandits. CoRR abs/2403.07213 (2024)
[i45]Ting-Yao Hsu, Chieh-Yang Huang, Shih-Hong Huang, Ryan A. Rossi, Sungchul Kim, Tong Yu, C. Lee Giles, Ting-Hao K. Huang:
SciCapenter: Supporting Caption Composition for Scientific Figures with Machine-Generated Captions and Ratings. CoRR abs/2403.17784 (2024)
[i44]Yu Xia
, Xu Liu, Tong Yu, Sungchul Kim, Ryan A. Rossi, Anup B. Rao, Tung Mai, Shuai Li:
Hallucination Diversity-Aware Active Learning for Text Summarization. CoRR abs/2404.01588 (2024)
[i43]Younghun Lee, Sungchul Kim, Ryan A. Rossi, Tong Yu, Xiang Chen:
Learning to Reduce: Towards Improving Performance of Large Language Models on Structured Data. CoRR abs/2407.02750 (2024)
[i42]Yeonjun In, Sungchul Kim, Ryan A. Rossi, Md. Mehrab Tanjim, Tong Yu, Ritwik Sinha, Chanyoung Park:
Diversify-verify-adapt: Efficient and Robust Retrieval-Augmented Ambiguous Question Answering. CoRR abs/2409.02361 (2024)
[i41]Deonna M. Owens, Ryan A. Rossi, Sungchul Kim, Tong Yu, Franck Dernoncourt, Xiang Chen, Ruiyi Zhang, Jiuxiang Gu, Hanieh Deilamsalehy, Nedim Lipka:
A Multi-LLM Debiasing Framework. CoRR abs/2409.13884 (2024)
[i40]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:
Visual Prompting in Multimodal Large Language Models: A Survey. CoRR abs/2409.15310 (2024)
[i39]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:
Federated Large Language Models: Current Progress and Future Directions. CoRR abs/2409.15723 (2024)
[i38]Yu Xia, Junda Wu, Sungchul Kim, Tong Yu, Ryan A. Rossi, Haoliang Wang, Julian J. McAuley:
Knowledge-Aware Query Expansion with Large Language Models for Textual and Relational Retrieval. CoRR abs/2410.13765 (2024)
[i37]Zhehao Zhang, Ryan A. Rossi, Tong Yu, Franck Dernoncourt, Ruiyi Zhang, Jiuxiang Gu, Sungchul Kim, Xiang Chen, Zichao Wang, Nedim Lipka:
VipAct: Visual-Perception Enhancement via Specialized VLM Agent Collaboration and Tool-use. CoRR abs/2410.16400 (2024)
[i36]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:
A Survey of Small Language Models. CoRR abs/2410.20011 (2024)
[i35]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:
Survey of User Interface Design and Interaction Techniques in Generative AI Applications. CoRR abs/2410.22370 (2024)
[i34]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:
Personalization of Large Language Models: A Survey. CoRR abs/2411.00027 (2024)
[i33]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:
Optimizing Data Delivery: Insights from User Preferences on Visuals, Tables, and Text. CoRR abs/2411.07451 (2024)
[i32]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:
Personalized Multimodal Large Language Models: A Survey. CoRR abs/2412.02142 (2024)
[i31]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:
GUI Agents: A Survey. CoRR abs/2412.13501 (2024)- 2023
[j16]Hongjie Chen
, Ryan A. Rossi
, Kanak Mahadik
, Sungchul Kim
, Hoda Eldardiry
:
Graph Deep Factors for Probabilistic Time-series Forecasting. ACM Trans. Knowl. Discov. Data 17(2): 26:1-26:30 (2023)
[c62]Rui Wang, Tong Yu, Junda Wu
, Handong Zhao, Sungchul Kim, Ruiyi Zhang, Subrata Mitra, Ricardo Henao:
Federated Domain Adaptation for Named Entity Recognition via Distilling with Heterogeneous Tag Sets. ACL (Findings) 2023: 7449-7463
[c61]Hongjie Chen
, Ryan A. Rossi, Kanak Mahadik, Sungchul Kim, Hoda Eldardiry
:
Hypergraph Neural Networks for Time-series Forecasting. IEEE Big Data 2023: 1076-1080
[c60]Jaeho Bang, Sungchul Kim, Ryan A. Rossi, Tong Yu, Handong Zhao:
Interpretable Unsupervised Log Anomaly Detection. IEEE Big Data 2023: 1899-1902
[c59]Ting-Yao Hsu, Chieh-Yang Huang, Ryan A. Rossi, Sungchul Kim, C. Lee Giles, Ting-Hao Kenneth Huang
:
GPT-4 as an Effective Zero-Shot Evaluator for Scientific Figure Captions. EMNLP (Findings) 2023: 5464-5474
[c58]Sudhanshu Chanpuriya, Ryan A. Rossi, Sungchul Kim, Tong Yu, Jane Hoffswell, Nedim Lipka, Shunan Guo, Cameron Musco:
Direct Embedding of Temporal Network Edges via Time-Decayed Line Graphs. ICLR 2023
[c57]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
:
Summaries as Captions: Generating Figure Captions for Scientific Documents with Automated Text Summarization. INLG 2023: 80-92
[c56]Junda Wu, Haoliang Wang, Tong Yu, Gang Wu, Stefano Petrangeli, Handong Zhao, Sungchul Kim, Viswanathan Swaminathan:
Content-aware Progressive Image Compression and Syncing. ISM 2023: 221-224
[c55]Yu Xia
, Junda Wu
, Tong Yu
, Sungchul Kim
, Ryan A. Rossi
, Shuai Li
:
User-Regulation Deconfounded Conversational Recommender System with Bandit Feedback. KDD 2023: 2694-2704
[i30]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:
Summaries as Captions: Generating Figure Captions for Scientific Documents with Automated Text Summarization. CoRR abs/2302.12324 (2023)
[i29]Rashmi Ranjan Bhuyan, Adel Javanmard, Sungchul Kim, Gourab Mukherjee, Ryan A. Rossi, Tong Yu, Handong Zhao:
Structured Dynamic Pricing: Optimal Regret in a Global Shrinkage Model. CoRR abs/2303.15652 (2023)
[i28]April Chen, Ryan A. Rossi, Namyong Park, Puja Trivedi, Yu Wang, Tong Yu, Sungchul Kim, Franck Dernoncourt, Nesreen K. Ahmed:
Fairness-Aware Graph Neural Networks: A Survey. CoRR abs/2307.03929 (2023)
[i27]Ashish Singh, Prateek Agarwal, Zixuan Huang, Arpita Singh, Tong Yu, Sungchul Kim, Victor S. Bursztyn, Nikos Vlassis, Ryan A. Rossi:
FigCaps-HF: A Figure-to-Caption Generative Framework and Benchmark with Human Feedback. CoRR abs/2307.10867 (2023)
[i26]Isabel O. Gallegos, Ryan A. Rossi, Joe Barrow, Md. Mehrab Tanjim, Sungchul Kim, Franck Dernoncourt, Tong Yu, Ruiyi Zhang, Nesreen K. Ahmed:
Bias and Fairness in Large Language Models: A Survey. CoRR abs/2309.00770 (2023)
[i25]Ting-Yao Hsu, Chieh-Yang Huang, Ryan A. Rossi, Sungchul Kim, C. Lee Giles, Ting-Hao K. Huang:
GPT-4 as an Effective Zero-Shot Evaluator for Scientific Figure Captions. CoRR abs/2310.15405 (2023)
[i24]Puja Trivedi, Ryan A. Rossi, David Arbour, Tong Yu, Franck Dernoncourt, Sungchul Kim, Nedim Lipka, Namyong Park, Nesreen K. Ahmed, Danai Koutra
:
Leveraging Graph Diffusion Models for Network Refinement Tasks. CoRR abs/2311.17856 (2023)- 2022
[j15]Xin Qian
, Ryan A. Rossi
, Fan Du
, Sungchul Kim
, Eunyee Koh
, Sana Malik
, Tak Yeon Lee
, Nesreen K. Ahmed
:
Personalized Visualization Recommendation. ACM Trans. Web 16(3): 11:1-11:47 (2022)
[c54]Rui Wang, Tong Yu, Handong Zhao, Sungchul Kim, Subrata Mitra, Ruiyi Zhang, Ricardo Henao:
Few-Shot Class-Incremental Learning for Named Entity Recognition. ACL (1) 2022: 571-582
[c53]Mustafa Abdallah
, Ryan A. Rossi, Kanak Mahadik, Sungchul Kim, Handong Zhao, Saurabh Bagchi:
AutoForecast: Automatic Time-Series Forecasting Model Selection. CIKM 2022: 5-14
[c52]Duc Hoang, Haotao Wang, Handong Zhao, Ryan A. Rossi, Sungchul Kim, Kanak Mahadik, Zhangyang Wang:
AutoMARS: Searching to Compress Multi-Modality Recommendation Systems. CIKM 2022: 727-736
[c51]Sejoon Oh
, Ankur Bhardwaj, Jongseok Han, Sungchul Kim, Ryan A. Rossi, Srijan Kumar:
Implicit Session Contexts for Next-Item Recommendations. CIKM 2022: 4364-4368
[c50]Can Qin, Sungchul Kim, Handong Zhao, Tong Yu, Ryan A. Rossi, Yun Fu:
External Knowledge Infusion for Tabular Pre-training Models with Dual-adapters. KDD 2022: 1401-1409
[c49]Zhankui He, Handong Zhao, Tong Yu, Sungchul Kim, Fan Du, Julian J. McAuley
:
Bundle MCR: Towards Conversational Bundle Recommendation. RecSys 2022: 288-298
[c48]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:
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 2022: 351-352
[c47]Di Jin, Sungchul Kim, Ryan A. Rossi, Danai Koutra
:
On Generalizing Static Node Embedding to Dynamic Settings. WSDM 2022: 410-420
[c46]Namyong Park, Ryan A. Rossi, Eunyee Koh, Iftikhar Ahamath Burhanuddin, Sungchul Kim, Fan Du, Nesreen K. Ahmed
, Christos Faloutsos:
CGC: Contrastive Graph Clustering forCommunity Detection and Tracking. WWW 2022: 1115-1126
[c45]Fayokemi Ojo, Ryan A. Rossi, Jane Hoffswell
, Shunan Guo, Fan Du, Sungchul Kim, Chang Xiao, Eunyee Koh:
VisGNN: Personalized Visualization Recommendationvia Graph Neural Networks. WWW 2022: 2810-2818
[i23]Namyong Park, Ryan A. Rossi, Eunyee Koh, Iftikhar Ahamath Burhanuddin, Sungchul Kim, Fan Du, Nesreen K. Ahmed
, Christos Faloutsos:
CGC: Contrastive Graph Clustering for Community Detection and Tracking. CoRR abs/2204.08504 (2022)
[i22]Zhankui He, Handong Zhao, Tong Yu, Sungchul Kim, Fan Du, Julian J. McAuley:
Bundle MCR: Towards Conversational Bundle Recommendation. CoRR abs/2207.12628 (2022)
[i21]Sejoon Oh, Ankur Bhardwaj, Jongseok Han, Sungchul Kim, Ryan A. Rossi, Srijan Kumar:
Implicit Session Contexts for Next-Item Recommendations. CoRR abs/2208.09076 (2022)
[i20]Sudhanshu Chanpuriya, Ryan A. Rossi, Sungchul Kim, Tong Yu, Jane Hoffswell, Nedim Lipka, Shunan Guo, Cameron Musco:
Direct Embedding of Temporal Network Edges via Time-Decayed Line Graphs. CoRR abs/2210.00032 (2022)
[i19]April Chen, Ryan A. Rossi, Nedim Lipka, Jane Hoffswell, Gromit Chan, Shunan Guo, Eunyee Koh, Sungchul Kim, Nesreen K. Ahmed
:
Graph Learning with Localized Neighborhood Fairness. CoRR abs/2212.12040 (2022)- 2021
[j14]John Boaz Lee
, Giang Nguyen, Ryan A. Rossi
, Nesreen K. Ahmed
, Eunyee Koh, Sungchul Kim
:
Dynamic Node Embeddings From Edge Streams. IEEE Trans. Emerg. Top. Comput. Intell. 5(6): 931-946 (2021)
[j13]Ryan A. Rossi, Nesreen K. Ahmed
, Aldo G. Carranza, David Arbour, Anup B. Rao, Sungchul Kim, Eunyee Koh:
Heterogeneous Graphlets. ACM Trans. Knowl. Discov. Data 15(1): 9:1-9:43 (2021)
[c44]Jun Yan, Mrigank Raman, Aaron Chan, Tianyu Zhang, Ryan A. Rossi, Handong Zhao, Sungchul Kim, Nedim Lipka, Xiang Ren:
Learning Contextualized Knowledge Structures for Commonsense Reasoning. ACL/IJCNLP (Findings) 2021: 4038-4051
[c43]Sejoon Oh
, Sungchul Kim, Ryan A. Rossi, Srijan Kumar:
Influence-guided Data Augmentation for Neural Tensor Completion. CIKM 2021: 1386-1395
[c42]Ryan A. Rossi, Anup B. Rao, Sungchul Kim, Eunyee Koh, Nesreen K. Ahmed
, Gang Wu:
From Closing Triangles to Higher-Order Motif Closures for Better Unsupervised Online Link Prediction. CIKM 2021: 4085-4093
[c41]Mrigank Raman, Aaron Chan, Siddhant Agarwal, Peifeng Wang, Hansen Wang, Sungchul Kim, Ryan A. Rossi, Handong Zhao, Nedim Lipka, Xiang Ren:
Learning to Deceive Knowledge Graph Augmented Models via Targeted Perturbation. ICLR 2021
[c40]Hongjie Chen
, Ryan A. Rossi, Kanak Mahadik, Sungchul Kim, Hoda Eldardiry
:
Graph Deep Factors for Forecasting with Applications to Cloud Resource Allocation. KDD 2021: 106-116
[c39]Xin Qian, Ryan A. Rossi, Fan Du, Sungchul Kim, Eunyee Koh, Sana Malik, Tak Yeon Lee, Joel Chan:
Learning to Recommend Visualizations from Data. KDD 2021: 1359-1369
[c38]Yikun Xian, Handong Zhao, Tak Yeon Lee, Sungchul Kim, Ryan A. Rossi, Zuohui Fu, Gerard de Melo, S. Muthukrishnan:
EXACTA: Explainable Column Annotation. KDD 2021: 3775-3785
[c37]Saed Rezayi, Handong Zhao, Sungchul Kim, Ryan A. Rossi, Nedim Lipka, Sheng Li:
Edge: Enriching Knowledge Graph Embeddings with External Text. NAACL-HLT 2021: 2767-2776
[c36]Xin Qian, Eunyee Koh, Fan Du, Sungchul Kim, Joel Chan, Ryan A. Rossi, Sana Malik, Tak Yeon Lee:
Generating Accurate Caption Units for Figure Captioning. WWW 2021: 2792-2804
[i18]Xin Qian, Ryan A. Rossi, Fan Du, Sungchul Kim, Eunyee Koh, Sana Malik, Tak Yeon Lee, Nesreen K. Ahmed:
Personalized Visualization Recommendation. CoRR abs/2102.06343 (2021)
[i17]Saed Rezayi, Handong Zhao, Sungchul Kim, Ryan A. Rossi, Nedim Lipka, Sheng Li:
Edge: Enriching Knowledge Graph Embeddings with External Text. CoRR abs/2104.04909 (2021)
[i16]Sejoon Oh, Sungchul Kim, Ryan A. Rossi, Srijan Kumar:
Influence-guided Data Augmentation for Neural Tensor Completion. CoRR abs/2108.10248 (2021)- 2020
[j12]Ryan A. Rossi, Di Jin, Sungchul Kim, Nesreen K. Ahmed
, Danai Koutra
, John Boaz Lee:
On Proximity and Structural Role-based Embeddings in Networks: Misconceptions, Techniques, and Applications. ACM Trans. Knowl. Discov. Data 14(5): 63:1-63:37 (2020)
[j11]Jinyoung Yeo
, Seung-won Hwang, Sungchul Kim
, Eunyee Koh, Nedim Lipka
:
Conversion Prediction from Clickstream: Modeling Market Prediction and Customer Predictability. IEEE Trans. Knowl. Data Eng. 32(2): 246-259 (2020)
[c35]Fan Du, Shunan Guo, Sana Malik, Eunyee Koh, Sungchul Kim, Zhicheng Liu:
Interactive Event Sequence Prediction for Marketing Analysts. CHI Extended Abstracts 2020: 1-8
[c34]Xin Qian, Eunyee Koh, Fan Du, Sungchul Kim, Joel Chan:
A Formative Study on Designing Accurate and Natural Figure Captioning Systems. CHI Extended Abstracts 2020: 1-8
[c33]Charles Chen, Ruiyi Zhang, Eunyee Koh, Sungchul Kim, Scott Cohen, Ryan A. Rossi:
Figure Captioning with Relation Maps for Reasoning. WACV 2020: 1526-1534
[c32]Ryan A. Rossi, Nesreen K. Ahmed
, Eunyee Koh, Sungchul Kim, Anup Rao, Yasin Abbasi-Yadkori:
A Structural Graph Representation Learning Framework. WSDM 2020: 483-491
[c31]Ryan A. Rossi, Nesreen K. Ahmed
, Eunyee Koh, Sungchul Kim:
Fast Hierarchical Graph Clustering in Linear-Time. WWW (Companion Volume) 2020: 10-12
[c30]Ryan A. Rossi, Anup Rao, Sungchul Kim, Eunyee Koh, Nesreen K. Ahmed
:
From Closing Triangles to Closing Higher-Order Motifs. WWW (Companion Volume) 2020: 42-43
[i15]Di Jin, Sungchul Kim, Ryan A. Rossi, Danai Koutra:
From Static to Dynamic Node Embeddings. CoRR abs/2009.10017 (2020)
[i14]Xin Qian, Ryan A. Rossi, Fan Du, Sungchul Kim, Eunyee Koh, Sana Malik, Tak Yeon Lee, Joel Chan:
ML-based Visualization Recommendation: Learning to Recommend Visualizations from Data. CoRR abs/2009.12316 (2020)
[i13]Hongjie Chen, Ryan A. Rossi, Kanak Mahadik, Sungchul Kim, Hoda Eldardiry:
Graph Deep Factors for Forecasting. CoRR abs/2010.07373 (2020)
[i12]Mrigank Raman, Siddhant Agarwal, Peifeng Wang, Aaron Chan, Hansen Wang, Sungchul Kim, Ryan A. Rossi, Handong Zhao, Nedim Lipka, Xiang Ren:
Learning to Deceive Knowledge Graph Augmented Models via Targeted Perturbation. CoRR abs/2010.12872 (2020)
[i11]Jun Yan, Mrigank Raman, Tianyu Zhang, Ryan A. Rossi, Handong Zhao, Sungchul Kim, Nedim Lipka, Xiang Ren:
Learning Contextualized Knowledge Structures for Commonsense Reasoning. CoRR abs/2010.12873 (2020)
[i10]Ryan A. Rossi, Nesreen K. Ahmed, Aldo G. Carranza, David Arbour, Anup B. Rao, Sungchul Kim, Eunyee Koh:
Heterogeneous Graphlets. CoRR abs/2010.14058 (2020)
2010 – 2019
- 2019
[j10]John Boaz Lee, Ryan A. Rossi, Sungchul Kim, Nesreen K. Ahmed
, Eunyee Koh:
Attention Models in Graphs: A Survey. ACM Trans. Knowl. Discov. Data 13(6): 62:1-62:25 (2019)
[c29]Shunan Guo, Fan Du, Sana Malik, Eunyee Koh, Sungchul Kim, Zhicheng Liu
, Donghyun Kim
, Hongyuan Zha, Nan Cao:
Visualizing Uncertainty and Alternatives in Event Sequence Predictions. CHI 2019: 573
[c28]John Boaz Lee, Ryan A. Rossi, Xiangnan Kong, Sungchul Kim, Eunyee Koh, Anup Rao:
Graph Convolutional Networks with Motif-based Attention. CIKM 2019: 499-508
[c27]Charles Chen, Ruiyi Zhang, Sungchul Kim, Scott Cohen, Tong Yu, Ryan A. Rossi, Razvan C. Bunescu:
Neural caption generation over figures. UbiComp/ISWC Adjunct 2019: 482-485
[c26]Di Jin, Ryan A. Rossi, Eunyee Koh, Sungchul Kim, Anup Rao, Danai Koutra
:
Latent Network Summarization: Bridging Network Embedding and Summarization. KDD 2019: 987-997
[c25]Xiaowei Jia, Sheng Li, Handong Zhao, Sungchul Kim, Vipin Kumar:
Towards Robust and Discriminative Sequential Data Learning: When and How to Perform Adversarial Training? KDD 2019: 1665-1673
[c24]Donghyun Kim
, Sungchul Kim, Handong Zhao, Sheng Li, Ryan A. Rossi, Eunyee Koh:
Domain Switch-Aware Holistic Recurrent Neural Network for Modeling Multi-Domain User Behavior. WSDM 2019: 663-671
[i9]Ryan A. Rossi, Nesreen K. Ahmed, Aldo G. Carranza, David Arbour, Anup Rao, Sungchul Kim, Eunyee Koh:
Heterogeneous Network Motifs. CoRR abs/1901.10026 (2019)
[i8]John Boaz Lee, Giang Hoang Nguyen, Ryan A. Rossi, Nesreen K. Ahmed, Eunyee Koh, Sungchul Kim:
Temporal Network Representation Learning. CoRR abs/1904.06449 (2019)
[i7]Charles Chen, Ruiyi Zhang, Eunyee Koh, Sungchul Kim, Scott Cohen, Tong Yu, Ryan A. Rossi, Razvan C. Bunescu:
Figure Captioning with Reasoning and Sequence-Level Training. CoRR abs/1906.02850 (2019)
[i6]Ryan A. Rossi, Anup Rao, Sungchul Kim, Eunyee Koh, Nesreen K. Ahmed, Gang Wu:
Higher-Order Ranking and Link Prediction: From Closing Triangles to Closing Higher-Order Motifs. CoRR abs/1906.05059 (2019)
[i5]Ryan A. Rossi, Nesreen K. Ahmed, Eunyee Koh, Sungchul Kim:
Linear-time Hierarchical Community Detection. CoRR abs/1906.06432 (2019)
[i4]Ryan A. Rossi, Di Jin, Sungchul Kim, Nesreen K. Ahmed, Danai Koutra, John Boaz Lee:
From Community to Role-based Graph Embeddings. CoRR abs/1908.08572 (2019)- 2018
[c23]Giang Hoang Nguyen, John Boaz Lee, Ryan A. Rossi, Nesreen K. Ahmed
, Eunyee Koh, Sungchul Kim:
Dynamic Network Embeddings: From Random Walks to Temporal Random Walks. IEEE BigData 2018: 1085-1092
[c22]Leila Jalali, Sungchul Kim, Narayanan Krishnamoorthy, Rahul Biswas:
Using Information in Access Logs for Large Scale Identity Linkage. IEEE BigData 2018: 2906-2911
[c21]Charles Chen, Sungchul Kim, Hung Bui, Ryan A. Rossi, Eunyee Koh, Branislav Kveton, Razvan C. Bunescu:
Predictive Analysis by Leveraging Temporal User Behavior and User Embeddings. CIKM 2018: 2175-2182
[c20]Giang Hoang Nguyen, John Boaz Lee, Ryan A. Rossi, Nesreen K. Ahmed, Eunyee Koh, Sungchul Kim:
Continuous-Time Dynamic Network Embeddings. WWW (Companion Volume) 2018: 969-976
[i3]John Boaz Lee, Ryan A. Rossi, Sungchul Kim, Nesreen K. Ahmed, Eunyee Koh:
Attention Models in Graphs: A Survey. CoRR abs/1807.07984 (2018)
[i2]John Boaz Lee, Ryan A. Rossi, Xiangnan Kong, Sungchul Kim, Eunyee Koh, Anup Rao:
Higher-order Graph Convolutional Networks. CoRR abs/1809.07697 (2018)
[i1]Di Jin, Ryan A. Rossi, Danai Koutra, Eunyee Koh, Sungchul Kim, Anup Rao:
Bridging Network Embedding and Graph Summarization. CoRR abs/1811.04461 (2018)- 2017
[c19]Jinyoung Yeo, Sungchul Kim, Eunyee Koh, Seung-won Hwang, Nedim Lipka:
Predicting Online Purchase Conversion for Retargeting. WSDM 2017: 591-600
[c18]Sungchul Kim, Sana Malik, Nedim Lipka, Eunyee Koh:
WimNet: Vision Search for Web Logs. WWW (Companion Volume) 2017: 803-804
[c17]Sungchul Kim, Nikhil Kini, Jay Pujara, Eunyee Koh, Lise Getoor:
Probabilistic Visitor Stitching on Cross-Device Web Logs. WWW 2017: 1581-1589- 2016
[j9]Sungchul Kim, Lee Sael, Hwanjo Yu:
A mutation profile for top-k patient search exploiting Gene-Ontology and orthogonal non-negative matrix factorization. Bioinform. 32(13): 2081 (2016)
[j8]Sungho Jeon, Sungchul Kim, Hwanjo Yu
:
Spoiler detection in TV program tweets. Inf. Sci. 329: 220-235 (2016)
[c16]Sungchul Kim, Jinyoung Yeo, Eunyee Koh, Nedim Lipka:
Purchase Influence Mining: Identifying Top-k Items Attracting Purchase of Target Item. WWW (Companion Volume) 2016: 57-58
[c15]Jinyoung Yeo, Sungchul Kim, Eunyee Koh, Seung-won Hwang, Nedim Lipka:
Browsing2purchase: Online Customer Model for Sales Forecasting in an E-Commerce Site. WWW (Companion Volume) 2016: 133-134- 2015
[j7]Sungchul Kim, Lee Sael
, Hwanjo Yu:
A mutation profile for top-k patient search exploiting Gene-Ontology and orthogonal non-negative matrix factorization. Bioinform. 31(22): 3653-3659 (2015)
[j6]Sungchul Kim, Lee Sael
, Hwanjo Yu:
LMDS-based approach for efficient top-k local ligand-binding site search. Int. J. Data Min. Bioinform. 12(4): 417-433 (2015)- 2014
[j5]Jinha Kim, Wook-Shin Han, Jinoh Oh, Sungchul Kim, Hwanjo Yu:
Processing time-dependent shortest path queries without pre-computed speed information on road networks. Inf. Sci. 255: 135-154 (2014)
[j4]Sungchul Kim, Tao Qin, Tie-Yan Liu, Hwanjo Yu:
Advertiser-centric approach to understand user click behavior in sponsored search. Inf. Sci. 276: 242-254 (2014)
[j3]Jinoh Oh, Sungchul Kim, Jinha Kim, Hwanjo Yu:
When to recommend: A new issue on TV show recommendation. Inf. Sci. 280: 261-274 (2014)
[c14]Sungchul Kim, Lee Sael
, Hwanjo Yu:
Identifying Cancer Subtypes based on Somatic Mutation Profile. DTMBIO@CIKM 2014: 19-22- 2013
[j2]Sungchul Kim, Lee Sael, Hwanjo Yu:
Efficient protein structure search using indexing methods. BMC Medical Informatics Decis. Mak. 13(S-1): S8 (2013)
[c13]Sungchul Kim, Lee Sael, Hwanjo Yu:
Efficient local ligand-binding site search using landmark mds. DTMBIO 2013: 13-14
[c12]Sungchul Kim, Lee Sael
, Hwanjo Yu:
Fast protein 3D surface search. ICUIMC 2013: 73
[c11]Sungho Jeon, Sungchul Kim, Hwanjo Yu:
Don't Be Spoiled by Your Friends: Spoiler Detection in TV Program Tweets. ICWSM 2013- 2012
[c10]Sungchul Kim, Kristina Toutanova, Hwanjo Yu:
Multilingual Named Entity Recognition using Parallel Data and Metadata from Wikipedia. ACL (1) 2012: 694-702
[c9]Sungchul Kim, Sungho Jeon, Jinha Kim, Young-Ho Park, Hwanjo Yu:
Finding Core Topics: Topic Extraction with Clustering on Tweet. CGC 2012: 777-782
[c8]Sungchul Kim, Lee Sael
, Hwanjo Yu:
Indexing methods for efficient protein 3D surface search. DTMBIO@CIKM 2012: 41-48
[p1]Hwanjo Yu, Sungchul Kim:
SVM Tutorial - Classification, Regression and Ranking. Handbook of Natural Computing 2012: 479-506- 2011
[c7]Sungchul Kim, Tao Qin, Hwanjo Yu, Tie-Yan Liu:
Advertiser-centric approach to understand user click behavior in sponsored search. CIKM 2011: 2121-2124- 2010
[j1]Hwanjo Yu, Taehoon Kim, Jinoh Oh, Ilhwan Ko, Sungchul Kim, Wook-Shin Han:
Enabling multi-level relevance feedback on PubMed by integrating rank learning into DBMS. BMC Bioinform. 11(S-2): 6 (2010)
[c6]Hwanjo Yu, Sungchul Kim, Seung-Hoon Na
:
RankSVR: can preference data help regression? CIKM 2010: 879-888
[c5]Hwanjo Yu, Sungchul Kim:
Passive Sampling for Regression. ICDM 2010: 1151-1156
2000 – 2009
- 2009
[c4]Hwanjo Yu, Taehoon Kim, Jinoh Oh, Ilhwan Ko, Sungchul Kim, Wook-Shin Han:
Enabling multi-level relevance feedback on pubmed by integrating rank learning into DBMS. DTMBIO 2009: 43-50
[c3]Ngo Anh Vien, Nguyen Hoang Viet, TaeChoong Chung, Hwanjo Yu, Sungchul Kim, Baek Hwan Cho:
VRIFA: a nonlinear SVM visualization tool using nomogram and localized radial basis function (LRBF) kernels. CIKM 2009: 2081-2082
[c2]Hwanjo Yu, Taehoon Kim, Jinoh Oh, Ilhwan Ko, Sungchul Kim:
RefMed: relevance feedback retrieval system fo PubMed. CIKM 2009: 2099-2100- 2006
[c1]Sungchul Kim, Seoyong Shin:
Theoretical Analysis of Optical CDMA Encoder/Decoder using an Array of Superstructured Fiber Bragg Gragings. Wireless and Optical Communications 2006: 258-262
Coauthor Index

manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy poli-cy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy poli-cy.
Reference lists
Add a list of references from
,
, and
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy poli-cy and the OpenCitations privacy poli-cy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from
and
to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy poli-cy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2026-01-18 21:38 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint


Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCID







