Roy Ka-Wei Lee

According to our database, Roy Ka-Wei Lee authored at least 96 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

RumorGraphXplainer: Do Structures Really Matter in Rumor Detection.

Wai Kit Daniel Chin, Kwan Hui Lim, Roy Ka-Wei Lee

IEEE Trans. Comput. Soc. Syst., October, 2024

Nowhere to Hide: Online Rumor Detection Based on Retweeting Graph Neural Networks.

Bo Liu, Xiangguo Sun, Qing Meng, Xinyan Yang, Yang Lee, Jiuxin Cao, Junzhou Luo, Roy Ka-Wei Lee

IEEE Trans. Neural Networks Learn. Syst., April, 2024

CoAIcoder: Examining the Effectiveness of AI-assisted Human-to-Human Collaboration in Qualitative Analysis.

Jie Gao, Kenny Tsu Wei Choo, Junming Cao, Roy Ka-Wei Lee, Simon T. Perrault

ACM Trans. Comput. Hum. Interact., February, 2024

Model-Agnostic Meta-Learning for Multilingual Hate Speech Detection.

Md. Rabiul Awal, Roy Ka-Wei Lee, Eshaan Tanwar, Tanmay Garg, Tanmoy Chakraborty

IEEE Trans. Comput. Soc. Syst., February, 2024

LongGenBench: Benchmarking Long-Form Generation in Long Context LLMs.

Yuhao Wu, Ming Shan Hee, Zhiqing Hu, Roy Ka-Wei Lee

CoRR, 2024

Examining the Influence of Political Bias on Large Language Model Performance in Stance Classification.

Lynnette Hui Xian Ng, Iain Cruickshank, Roy Ka-Wei Lee

CoRR, 2024

InstructAV: Instruction Fine-tuning Large Language Models for Authorship Verification.

Yujia Hu, Zhiqiang Hu, Chun-Wei Seah, Roy Ka-Wei Lee

CoRR, 2024

Interpreting Bias in Large Language Models: A Feature-Based Approach.

Nirmalendu Prakash, Roy Ka-Wei Lee

CoRR, 2024

SGHateCheck: Functional Tests for Detecting Hate Speech in Low-Resource Languages of Singapore.

Ri Chi Ng, Nirmalendu Prakash, Ming Shan Hee, Kenny Tsu Wei Choo, Roy Ka-Wei Lee

CoRR, 2024

All in a Single Image: Large Multimodal Models are In-Image Learners.

Lei Wang, Wanyu Xu, Zhiqiang Hu, Yihuai Lan, Shan Dong, Hao Wang, Roy Ka-Wei Lee, Ee-Peng Lim

CoRR, 2024

Recent Advances in Hate Speech Moderation: Multimodality and the Role of Large Models.

Ming Shan Hee, Shivam Sharma, Rui Cao, Palash Nandi, Preslav Nakov, Tanmoy Chakraborty, Roy Ka-Wei Lee

CoRR, 2024

MemeCraft: Contextual and Stance-Driven Multimodal Meme Generation.

Han Wang, Roy Ka-Wei Lee

Proceedings of the ACM on Web Conference 2024, 2024

Foreword for the First International Workshop on Multimodal Content Analysis for Social Good (MM4SG 2024).

Surendrabikram Thapa, Usman Naseem, Roy Ka-Wei Lee, Mehwish Nasim

Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

Love-Hate Dataset: A Multi-Modal Multi-Platform Dataset Depicting Emotions in the 2023 Israel-Hamas War.

Lynnette Hui Xian Ng, Adrian Xuan Wei Lim, Roy Ka-Wei Lee

Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

Contrastive Disentanglement for Authorship Attribution.

Zhiqiang Hu, Thao Thanh Nguyen, Yujia Hu, Chia-Yu Hung, Ming Shan Hee, Chun-Wei Seah, Roy Ka-Wei Lee

Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

Brinjal: A Web-Plugin for Collaborative Hate Speech Detection.

Ming Shan Hee, Karandeep Singh, Charlotte Ng Si Min, Kenny Tsu Wei Choo, Roy Ka-Wei Lee

Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

Understanding (Dark) Humour with Internet Meme Analysis.

Ming Shan Hee, Rui Cao, Tanmoy Chakraborty, Roy Ka-Wei Lee

Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

Modularized Networks for Few-shot Hateful Meme Detection.

Rui Cao, Roy Ka-Wei Lee, Jing Jiang

Proceedings of the ACM on Web Conference 2024, 2024

Using Voice Data to Facilitate Depression Risk Assessment in Primary Health Care.

Abhay Goyal, Roger Ho Chun Man, Roy Ka-Wei Lee, Koustuv Saha, Frederick L. Altice, Christian Poellabauer, Orestis Papakyriakopoulos, Lam Yin Cheung, Munmun De Choudhury, Kanica Allagh, Navin Kumar

Proceedings of the Companion Publication of the 16th ACM Web Science Conference, 2024

MultiHateClip: A Multilingual Benchmark Dataset for Hateful Video Detection on YouTube and Bilibili.

Han Wang, Tan Rui Yang, Usman Naseem, Roy Ka-Wei Lee

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

ToxiCloakCN: Evaluating Robustness of Offensive Language Detection in Chinese with Cloaking Perturbations.

Yunze Xiao, Yujia Hu, Kenny T. W. Choo, Roy Ka-Wei Lee

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Math-LLaVA: Bootstrapping Mathematical Reasoning for Multimodal Large Language Models.

Wenhao Shi, Zhiqiang Hu, Yi Bin, Junhua Liu, Yang Yang, See-Kiong Ng, Lidong Bing, Roy Ka-Wei Lee

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Recent Advances in Online Hate Speech Moderation: Multimodality and the Role of Large Models.

Ming Shan Hee, Shivam Sharma, Rui Cao, Palash Nandi, Preslav Nakov, Tanmoy Chakraborty, Roy Ka-Wei Lee

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Bridging Modalities: Enhancing Cross-Modality Hate Speech Detection with Few-Shot In-Context Learning.

Ming Shan Hee, Aditi Kumaresan, Roy Ka-Wei Lee

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

2023

Attention-Fused Deep Relevancy Matching Network for Clickbait Detection.

Qing Meng, Bo Liu, Xiangguo Sun, Hui Yan, Chengyu Liang, Jiuxin Cao, Roy Ka-Wei Lee, Xing Bao

IEEE Trans. Comput. Soc. Syst., December, 2023

DReD-A Descriptive Relation Dataset for Expanding Relation Extraction.

Logan Markewich, Yubin Xing, Roy Ka-Wei Lee, Zhi Li, Seok-Bum Ko

IEEE Trans. Artif. Intell., December, 2023

TikTok's Project Texas - Social Media Data Governance Across Geopolitical Lines.

Roy Ka-Wei Lee, Lynnette Hui Xian Ng

Digit. Gov. Res. Pract., December, 2023

Predicting hate intensity of twitter conversation threads.

Qing Meng, Tharun Suresh, Roy Ka-Wei Lee, Tanmoy Chakraborty

Knowl. Based Syst., 2023

Using Audio Data to Facilitate Depression Risk Assessment in Primary Health Care.

Adam Valen Levinson, Abhay Goyal, Roger Ho Chun Man, Roy Ka-Wei Lee, Koustuv Saha, Nimay Parekh, Frederick L. Altice, Lam Yin Cheung, Munmun De Choudhury, Navin Kumar

CoRR, 2023

ChatGPT and Bard Responses to Polarizing Questions

Abhay Goyal, Muhammad Siddique, Nimay Parekh, Zach Schwitzky, Clara Broekaert, Connor Michelotti, Allie Wong, Lam Yin Cheung, Robin O'Hanlon, Munmun De Choudhury, Roy Ka-Wei Lee, Navin Kumar

CoRR, 2023

Feasibility, Opportunities, and Challenges of Utilizing AI for Collaborative Qualitative Analysis.

Jie Gao, Kenny Tsu Wei Choo, Junming Cao, Roy Ka-Wei Lee, Simon T. Perrault

CoRR, 2023

LLM-Adapters: An Adapter Family for Parameter-Efficient Fine-Tuning of Large Language Models.

Zhiqiang Hu, Yihuai Lan, Lei Wang, Wanyu Xu, Ee-Peng Lim, Roy Ka-Wei Lee, Lidong Bing, Soujanya Poria

CoRR, 2023

BTRec: BERT-based Trajectory Recommendation for Personalized Tours.

Ngai Lam Ho, Roy Ka-Wei Lee, Kwan Hui Lim

Proceedings of the Workshop on Recommenders in Tourism co-located with the 17th ACM Conference on Recommender Systems (RecSys 2023), 2023

TotalDefMeme: A Multi-Attribute Meme dataset on Total Defence in Singapore.

Nirmalendu Prakash, Ming Shan Hee, Roy Ka-Wei Lee

Proceedings of the 14th Conference on ACM Multimedia Systems, 2023

PromptMTopic: Unsupervised Multimodal Topic Modeling of Memes using Large Language Models.

Nirmalendu Prakash, Han Wang, Nguyen-Khoi Hoang, Ming Shan Hee, Roy Ka-Wei Lee

Proceedings of the 31st ACM International Conference on Multimedia, 2023

MATK: The Meme Analytical Tool Kit.

Ming Shan Hee, Aditi Kumaresan, Nguyen-Khoi Hoang, Nirmalendu Prakash, Rui Cao, Roy Ka-Wei Lee

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Pro-Cap: Leveraging a Frozen Vision-Language Model for Hateful Meme Detection.

Rui Cao, Ming Shan Hee, Adriel Kuek, Wen-Haw Chong, Roy Ka-Wei Lee, Jing Jiang

Proceedings of the 31st ACM International Conference on Multimedia, 2023

LRS4DP: Location Recommendation System for Destination Prediction.

Bing Zhao, Haodong Sun, Wee Siong Ng, Roy Ka-Wei Lee, Yanyan Chen

Proceedings of the 24th IEEE International Conference on Mobile Data Management, 2023

Evaluating GPT-3 Generated Explanations for Hateful Content Moderation.

Han Wang, Ming Shan Hee, Md. Rabiul Awal, Kenny Tsu Wei Choo, Roy Ka-Wei Lee

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Decoding the Underlying Meaning of Multimodal Hateful Memes.

Ming Shan Hee, Wen-Haw Chong, Roy Ka-Wei Lee

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Who Wrote it and Why? Prompting Large-Language Models for Authorship Verification.

Chia-Yu Hung, Zhiqiang Hu, Yujia Hu, Roy Ka-Wei Lee

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

LLM-Adapters: An Adapter Family for Parameter-Efficient Fine-Tuning of Large Language Models.

Zhiqiang Hu, Lei Wang, Yihuai Lan, Wanyu Xu, Ee-Peng Lim, Lidong Bing, Xing Xu, Soujanya Poria, Roy Ka-Wei Lee

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Adapter-TST: A Parameter Efficient Method for Multiple-Attribute Text Style Transfer.

Zhiqiang Hu, Nancy F. Chen, Roy Ka-Wei Lee

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Language Guided Visual Question Answering: Elevate Your Multimodal Language Model Using Knowledge-Enriched Prompts.

Deepanway Ghosal, Navonil Majumder, Roy Ka-Wei Lee, Rada Mihalcea, Soujanya Poria

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Layered Bias: Interpreting Bias in Pretrained Large Language Models.

Nirmalendu Prakash, Roy Ka-Wei Lee

Proceedings of the 6th BlackboxNLP Workshop: Analyzing and Interpreting Neural Networks for NLP, 2023

Prompting Large Language Models for Topic Modeling.

Han Wang, Nirmalendu Prakash, Nguyen-Khoi Hoang, Ming Shan Hee, Usman Naseem, Roy Ka-Wei Lee

Proceedings of the IEEE International Conference on Big Data, 2023

MERMAID: A Dataset and Framework for Multimodal Meme Semantic Understanding.

Shaun Toh, Adriel Kuek, Wen-Haw Chong, Roy Ka-Wei Lee

Proceedings of the IEEE International Conference on Big Data, 2023

Interpretable Sock Puppet Attribution.

Chun-Wei Seah, Chia-Yu Hung, Yujia Hu, Hai Leong Chieu, Roy Ka-Wei Lee

Proceedings of the IEEE International Conference on Big Data, 2023

SBTREC - A Transformer Framework for Personalized Tour Recommendation Problem with Sentiment Analysis.

Ngai Lam Ho, Roy Ka-Wei Lee, Kwan Hui Lim

Proceedings of the IEEE International Conference on Big Data, 2023

Plan-and-Solve Prompting: Improving Zero-Shot Chain-of-Thought Reasoning by Large Language Models.

Lei Wang, Wanyu Xu, Yihuai Lan, Zhiqiang Hu, Yunshi Lan, Roy Ka-Wei Lee, Ee-Peng Lim

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Improving the Detection of Multilingual Online Attacks with Rich Social Media Data from Singapore.

Janosch Haber, Bertie Vidgen, Matthew Chapman, Vibhor Agarwal, Roy Ka-Wei Lee, Yong Keong Yap, Paul Röttger

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

Text Style Transfer: A Review and Experimental Evaluation.

Zhiqiang Hu, Roy Ka-Wei Lee, Charu C. Aggarwal, Aston Zhang

SIGKDD Explor., 2022

Temporal-aware and multifaceted social contexts modeling for social recommendation.

Qing Meng, Bo Liu, Hengyuan Zhang, Xuheng Sun, Jiuxin Cao, Roy Ka-Wei Lee

Knowl. Based Syst., 2022

Segmentation for document layout analysis: not dead yet.

Logan Markewich, Hao Zhang, Yubin Xing, Navid Lambert-Shirzad, Zhexin Jiang, Roy Ka-Wei Lee, Zhi Li, Seok-Bum Ko

Int. J. Document Anal. Recognit., 2022

Are Current Task-oriented Dialogue Systems Able to Satisfy Impolite Users?

Zhiqiang Hu, Roy Ka-Wei Lee, Nancy F. Chen

CoRR, 2022

On Explaining Multimodal Hateful Meme Detection Models.

Ming Shan Hee, Roy Ka-Wei Lee, Wen-Haw Chong

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Multimodal Zero-Shot Hateful Meme Detection.

Jiawen Zhu, Roy Ka-Wei Lee, Wen-Haw Chong

Proceedings of the WebSci '22: 14th ACM Web Science Conference 2022, Barcelona, Spain, June 26, 2022

Prompting for Multimodal Hateful Meme Classification.

Rui Cao, Roy Ka-Wei Lee, Wen-Haw Chong, Jing Jiang

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Categorizing Memes About the Ukraine Conflict.

Keyu Chen, Ashley Feng, Rohan Aanegola, Koustuv Saha, Allie Wong, Zach Schwitzky, Roy Ka-Wei Lee, Robin O'Hanlon, Munmun De Choudhury, Frederick L. Altice, Kaveh Khoshnood, Navin Kumar

Proceedings of the Computational Data and Social Networks - 11th International Conference, 2022

MUSCAT: Multilingual Rumor Detection in Social Media Conversations.

Md. Rabiul Awal, Minh Dang Nguyen, Roy Ka-Wei Lee, Kenny Tsu Wei Choo

Proceedings of the IEEE International Conference on Big Data, 2022

2021

Discovering Hidden Topical Hubs and Authorities Across Multiple Online Social Networks.

Roy Ka-Wei Lee, Tuan-Anh Hoang, Ee-Peng Lim

IEEE Trans. Knowl. Data Eng., 2021

Online Xenophobic Behavior Amid the COVID-19 Pandemic: A Commentary.

Roy Ka-Wei Lee, Zhi Li

Digit. Gov. Res. Pract., 2021

A Syntax-Aware Encoder for Authorship Attribution.

Jianbo Liu, Zhiqiang Hu, Jiasheng Zhang, Roy Ka-Wei Lee, Jie Shao

Proceedings of the Web Information Systems Engineering - WISE 2021, 2021

AutoChart: A Dataset for Chart-to-Text Generation Task.

Jiawen Zhu, Jinye Ran, Roy Ka-Wei Lee, Zhi Li, Kenny T. W. Choo

Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2021), 2021

Syntax Matters! Syntax-Controlled in Text Style Transfer.

Zhiqiang Hu, Roy Ka-Wei Lee, Charu C. Aggarwal

Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2021), 2021

AngryBERT: Joint Learning Target and Emotion for Hate Speech Detection.

Md. Rabiul Awal, Rui Cao, Roy Ka-Wei Lee, Sandra Mitrovic

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2021

Disentangling Hate in Online Memes.

Roy Ka-Wei Lee, Rui Cao, Ziqing Fan, Jing Jiang, Wen-Haw Chong

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Early Prediction of Hate Speech Propagation.

Ken-Yu Lin, Roy Ka-Wei Lee, Wei Gao, Wen-Chih Peng

Proceedings of the 2021 International Conference on Data Mining, 2021

Improving Text Auto-Completion with Next Phrase Prediction.

Dong-Ho Lee, Zhiqiang Hu, Roy Ka-Wei Lee

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Will you dance to the challenge?: predicting user participation of TikTok challenges.

Lynnette Hui Xian Ng, John Yeh Han Tan, Darryl Jing Heng Tan, Roy Ka-Wei Lee

Proceedings of the ASONAM '21: International Conference on Advances in Social Networks Analysis and Mining, Virtual Event, The Netherlands, November 8, 2021

Hierarchical Expert Recommendation on Community Question Answering Platforms.

Amirabbas Jalali, Roy Ka-Wei Lee

Proceedings of the 34th Canadian Conference on Artificial Intelligence, 2021

On Orthogonality Constraints for Transformers.

Aston Zhang, Alvin Chan, Yi Tay, Jie Fu, Shuohang Wang, Shuai Zhang, Huajie Shao, Shuochao Yao, Roy Ka-Wei Lee

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020

Text Style Transfer: A Review and Experiment Evaluation.

Zhiqiang Hu, Roy Ka-Wei Lee, Charu C. Aggarwal

CoRR, 2020

On Analyzing Antisocial Behaviors Amid COVID-19 Pandemic.

Md. Rabiul Awal, Rui Cao, Sandra Mitrovic, Roy Ka-Wei Lee

CoRR, 2020

On Analyzing Annotation Consistency in Online Abusive Behavior Datasets.

Md. Rabiul Awal, Rui Cao, Roy Ka-Wei Lee, Sandra Mitrovic

CoRR, 2020

DeepHate: Hate Speech Detection via Multi-Faceted Text Representations.

Rui Cao, Roy Ka-Wei Lee, Tuan-Anh Hoang

Proceedings of the WebSci '20: 12th ACM Conference on Web Science, 2020

Keen2Act: Activity Recommendation in Online Social Collaborative Platforms.

Roy Ka-Wei Lee, Thong Hoang, Richard Jayadi Oentaryo, David Lo

Proceedings of the 28th ACM Conference on User Modeling, Adaptation and Personalization, 2020

Retrofitting Embeddings for Unsupervised User Identity Linkage.

Tao Zhou, Ee-Peng Lim, Roy Ka-Wei Lee, Feida Zhu, Jiuxin Cao

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2020

Teacher-Student Networks with Multiple Decoders for Solving Math Word Problem.

Jipeng Zhang, Roy Ka-Wei Lee, Ee-Peng Lim, Wei Qin, Lei Wang, Jie Shao, Qianru Sun

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Ocean: A Dual Learning Approach For Generalized Zero-Shot Sketch-Based Image Retrieval.

Jiawen Zhu, Xing Xu, Fumin Shen, Roy Ka-Wei Lee, Zheng Wang, Heng Tao Shen

Proceedings of the IEEE International Conference on Multimedia and Expo, 2020

HateGAN: Adversarial Generative-Based Data Augmentation for Hate Speech Detection.

Rui Cao, Roy Ka-Wei Lee

Proceedings of the 28th International Conference on Computational Linguistics, 2020

DeepStyle: User Style Embedding for Authorship Attribution of Short Texts.

Zhiqiang Hu, Roy Ka-Wei Lee, Lei Wang, Ee-Peng Lim, Bo Dai

Proceedings of the Web and Big Data - 4th International Joint Conference, 2020

Graph-to-Tree Learning for Solving Math Word Problems.

Jipeng Zhang, Lei Wang, Roy Ka-Wei Lee, Yi Bin, Yan Wang, Jie Shao, Ee-Peng Lim

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019

AD-Link: An Adaptive Approach for User Identity Linkage.

Xin Mu, Wei Xie, Roy Ka-Wei Lee, Feida Zhu, Ee-Peng Lim

Proceedings of the 2019 IEEE International Conference on Big Knowledge, 2019

Topic enhanced word embedding for toxic content detection in Q&A sites.

Do Yeon Kim, Xiaohang Li, Sheng Wang, Yunying Zhuo, Roy Ka-Wei Lee

Proceedings of the ASONAM '19: International Conference on Advances in Social Networks Analysis and Mining, 2019

2018

Wisdom in Sum of Parts: Multi-Platform Activity Prediction in Social Collaborative Sites.

Roy Ka-Wei Lee, David Lo

Proceedings of the 10th ACM Conference on Web Science, 2018

Discovering Hidden Topical Hubs and Authorities in Online Social Networks.

Roy Ka-Wei Lee, Tuan-Anh Hoang, Ee-Peng Lim

Proceedings of the 2018 SIAM International Conference on Data Mining, 2018

Unsupervised User Identity Linkage via Factoid Embedding.

Wei Xie, Xin Mu, Roy Ka-Wei Lee, Feida Zhu, Ee-Peng Lim

Proceedings of the IEEE International Conference on Data Mining, 2018

Linky: Visualizing User Identity Linkage Results for Multiple Online Social Networks.

Roy Ka-Wei Lee, Ming Shan Hee, Philips Kokoh Prasetyo, Ee-Peng Lim

Proceedings of the 2018 IEEE International Conference on Data Mining Workshops, 2018

2017

On Analyzing User Topic-Specific Platform Preferences Across Multiple Social Media Sites.

Roy Ka-Wei Lee, Tuan-Anh Hoang, Ee-Peng Lim

Proceedings of the 26th International Conference on World Wide Web, 2017

GitHub and Stack Overflow: Analyzing Developer Interests Across Multiple Social Collaborative Platforms.

Roy Ka-Wei Lee, David Lo

Proceedings of the Social Informatics, 2017

2016

Friendship Maintenance and Prediction in Multiple Social Networks.

Roy Ka-Wei Lee, Ee-Peng Lim

Proceedings of the 27th ACM Conference on Hypertext and Social Media, 2016

2015

Measuring Centralities for Transportation Networks Beyond Structures.

Yew-Yih Cheng, Roy Ka-Wei Lee, Ee-Peng Lim, Feida Zhu

Proceedings of the Applications of Social Media and Social Network Analysis, 2015

SignEPC : A Digital Signature Scheme for Efficient and Scalable Access Control in EPCglobal Network.

Roy Ka-Wei Lee, Yingjiu Li

CoRR, 2015

Measuring User Influence, Susceptibility and Cynicalness in Sentiment Diffusion.

Roy Ka-Wei Lee, Ee-Peng Lim

Proceedings of the Advances in Information Retrieval, 2015

2013

DelayFlow centrality for identifying critical nodes in transportation networks.

Yew-Yih Cheng, Roy Ka-Wei Lee, Ee-Peng Lim, Feida Zhu

Proceedings of the Advances in Social Networks Analysis and Mining 2013, 2013