Sungchul Kim

ORCID

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 102

Top Venues

CoRR

KDD

CIKM

WWW (Companion Volume)

Publications

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)
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)
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 (2024)
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 (2024)
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 (2024)
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 (2024)
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) (2024)
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)
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 (2024)
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)
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)
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)
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)
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 (2024)
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 (2024)
Ashish Singh, Prateek Agarwal, Zixuan Huang, Arpita Singh, Tong Yu, Sungchul Kim, Victor Bursztyn, Nikos Vlassis, Ryan A. Rossi
FigCaps-HF: A Figure-to-Caption Generative Framework and Benchmark with Human Feedback. CoRR (2023)
Yu Xia, Junda Wu, Tong Yu, Sungchul Kim, Ryan A. Rossi, Shuai Li
User-Regulation Deconfounded Conversational Recommender System with Bandit Feedback. KDD (2023)
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 (2023)
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)
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 (2023)
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 (2023)
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)
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 (2023)
Jaeho Bang, Sungchul Kim, Ryan A. Rossi, Tong Yu, Handong Zhao
Interpretable Unsupervised Log Anomaly Detection. BigData (2023)
Hongjie Chen, Ryan A. Rossi, Kanak Mahadik, Sungchul Kim, Hoda Eldardiry
Hypergraph Neural Networks for Time-series Forecasting. BigData (2023)
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 (2023)
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)
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)
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)
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 (2023)
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) (2023)
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)
Di Jin, Sungchul Kim, Ryan A. Rossi, Danai Koutra
On Generalizing Static Node Embedding to Dynamic Settings. WSDM (2022)
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)
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 (2022)
Sejoon Oh, Ankur Bhardwaj, Jongseok Han, Sungchul Kim, Ryan A. Rossi, Srijan Kumar
Implicit Session Contexts for Next-Item Recommendations. CoRR (2022)
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) (2022)
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)
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)
April Chen, Ryan A. Rossi, Nedim Lipka, Jane Hoffswell, Gromit Yeuk-Yin Chan, Shunan Guo, Eunyee Koh, Sungchul Kim, Nesreen K. Ahmed
Graph Learning with Localized Neighborhood Fairness. CoRR (2022)
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)
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 (2022)
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)
Mustafa Abdallah, Ryan A. Rossi, Kanak Mahadik, Sungchul Kim, Handong Zhao, Saurabh Bagchi
AutoForecast: Automatic Time-Series Forecasting Model Selection. CIKM (2022)
Sejoon Oh, Ankur Bhardwaj, Jongseok Han, Sungchul Kim, Ryan A. Rossi, Srijan Kumar
Implicit Session Contexts for Next-Item Recommendations. CIKM (2022)
Zhankui He, Handong Zhao, Tong Yu, Sungchul Kim, Fan Du, Julian J. McAuley
Bundle MCR: Towards Conversational Bundle Recommendation. CoRR (2022)
Zhankui He, Handong Zhao, Tong Yu, Sungchul Kim, Fan Du, Julian J. McAuley
Bundle MCR: Towards Conversational Bundle Recommendation. RecSys (2022)
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)
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)
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) (2021)
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)
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) (2021)
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)
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)
Sejoon Oh, Sungchul Kim, Ryan A. Rossi, Srijan Kumar
Influence-guided Data Augmentation for Neural Tensor Completion. CIKM (2021)
Saed Rezayi, Handong Zhao, Sungchul Kim, Ryan A. Rossi, Nedim Lipka, Sheng Li
Edge: Enriching Knowledge Graph Embeddings with External Text. CoRR (2021)
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)
Saed Rezayi, Handong Zhao, Sungchul Kim, Ryan A. Rossi, Nedim Lipka, Sheng Li
Edge: Enriching Knowledge Graph Embeddings with External Text. NAACL-HLT (2021)
Sejoon Oh, Sungchul Kim, Ryan A. Rossi, Srijan Kumar
Influence-guided Data Augmentation for Neural Tensor Completion. CoRR (2021)
Xin Qian, Ryan A. Rossi, Fan Du, Sungchul Kim, Eunyee Koh, Sana Malik, Tak Yeon Lee, Nesreen K. Ahmed
Personalized Visualization Recommendation. CoRR (2021)
Hongjie Chen, Ryan A. Rossi, Kanak Mahadik, Sungchul Kim, Hoda Eldardiry
Graph Deep Factors for Forecasting with Applications to Cloud Resource Allocation. KDD (2021)
Ryan A. Rossi, Nesreen K. Ahmed, Eunyee Koh, Sungchul Kim
Fast Hierarchical Graph Clustering in Linear-Time. WWW (Companion Volume) (2020)
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)
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) (2020)
Charles Chen, Ruiyi Zhang, Eunyee Koh, Sungchul Kim, Scott Cohen, Ryan A. Rossi
Figure Captioning with Relation Maps for Reasoning. WACV (2020)
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 (2020)
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 (2020)
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) (2020)
Hongjie Chen, Ryan A. Rossi, Kanak Mahadik, Sungchul Kim, Hoda Eldardiry
Graph Deep Factors for Forecasting. CoRR (2020)
Fan Du, Shunan Guo, Sana Malik, Eunyee Koh, Sungchul Kim, Zhicheng Liu
Interactive Event Sequence Prediction for Marketing Analysts. CHI Extended Abstracts (2020)
Ryan A. Rossi, Nesreen K. Ahmed, Eunyee Koh, Sungchul Kim, Anup Rao, Yasin Abbasi-Yadkori
A Structural Graph Representation Learning Framework. WSDM (2020)
Ryan A. Rossi, Nesreen K. Ahmed, Aldo G. Carranza, David Arbour, Anup B. Rao, Sungchul Kim, Eunyee Koh
Heterogeneous Graphlets. CoRR (2020)
Ryan A. Rossi, Anup Rao, Sungchul Kim, Eunyee Koh, Nesreen K. Ahmed
From Closing Triangles to Closing Higher-Order Motifs. WWW (Companion Volume) (2020)
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 (2020)
Di Jin, Sungchul Kim, Ryan A. Rossi, Danai Koutra
From Static to Dynamic Node Embeddings. CoRR (2020)
Di Jin, Ryan A. Rossi, Eunyee Koh, Sungchul Kim, Anup Rao, Danai Koutra
Latent Network Summarization: Bridging Network Embedding and Summarization. KDD (2019)
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)
John Boaz Lee, Ryan A. Rossi, Xiangnan Kong, Sungchul Kim, Eunyee Koh, Anup Rao
Graph Convolutional Networks with Motif-based Attention. CIKM (2019)
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) (2019)
John Boaz Lee, Giang Hoang Nguyen, Ryan A. Rossi, Nesreen K. Ahmed, Eunyee Koh, Sungchul Kim
Temporal Network Representation Learning. CoRR (2019)
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)
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)
Ryan A. Rossi, Nesreen K. Ahmed, Eunyee Koh, Sungchul Kim
Linear-time Hierarchical Community Detection. CoRR (2019)
Ryan A. Rossi, Nesreen K. Ahmed, Aldo G. Carranza, David Arbour, Anup Rao, Sungchul Kim, Eunyee Koh
Heterogeneous Network Motifs. CoRR (2019)
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 (2019)
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)
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 (2019)
Ryan A. Rossi, Di Jin, Sungchul Kim, Nesreen K. Ahmed, Danai Koutra, John Boaz Lee
From Community to Role-based Graph Embeddings. CoRR (2019)
Di Jin, Ryan A. Rossi, Danai Koutra, Eunyee Koh, Sungchul Kim, Anup Rao
Bridging Network Embedding and Graph Summarization. CoRR (2018)
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)
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)
John Boaz Lee, Ryan A. Rossi, Xiangnan Kong, Sungchul Kim, Eunyee Koh, Anup Rao
Higher-order Graph Convolutional Networks. CoRR (2018)
Leila Jalali, Sungchul Kim, Narayanan Krishnamoorthy, Rahul Biswas
Using Information in Access Logs for Large Scale Identity Linkage. IEEE BigData (2018)
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)
John Boaz Lee, Ryan A. Rossi, Sungchul Kim, Nesreen K. Ahmed, Eunyee Koh
Attention Models in Graphs: A Survey. CoRR (2018)
Sungchul Kim, Nikhil Kini, Jay Pujara, Eunyee Koh, Lise Getoor
Probabilistic Visitor Stitching on Cross-Device Web Logs. WWW (2017)
Sungchul Kim, Sana Malik, Nedim Lipka, Eunyee Koh
WimNet: Vision Search for Web Logs. WWW (Companion Volume) (2017)
Jinyoung Yeo, Sungchul Kim, Eunyee Koh, Seung-won Hwang, Nedim Lipka
Predicting Online Purchase Conversion for Retargeting. WSDM (2017)
Sungchul Kim, Lee Sael, Hwanjo Yu
patient search exploiting Gene-Ontology and orthogonal non-negative matrix factorization. Bioinform. 32 (13) (2016)
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)

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Publication Activity (10 Years)

Top Topics

Top Venues

Sungchul Kim