2026 Wai Lam: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	54	4546	4417	605	601	294	12096

Discipline name

D-Index

World Ranking

Current World Ranking

National Ranking

Current National Ranking

Publications

Citations

Computer Science

4546

4417

605

601

294

12096

Overview

Wai Lam is affiliated with the Chinese University of Hong Kong in China. Their research primarily focuses on the field of Computer Science, with significant contributions to Artificial Intelligence, Information Systems, and Computer Vision and Pattern Recognition. They have also worked in Human-Computer Interaction and Management Science and Operations Research.

The main topics of Wai Lam's work include:

Topic Modeling
Natural Language Processing Techniques
Multimodal Machine Learning Applications
Text Readability and Simplification
Sentiment Analysis and Opinion Mining
Speech and dialogue systems
Advanced Text Analysis Techniques

Wai Lam's frequently published venues include:

arXiv (Cornell University)
ACM Transactions on Information Systems
Proceedings of the AAAI Conference on Artificial Intelligence
IEEE Transactions on Knowledge and Data Engineering
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing

Notable recent papers by Wai Lam and coauthors are:

A Survey on Aspect-Based Sentiment Analysis: Tasks, Methods, and Challenges (2022), published in IEEE Transactions on Knowledge and Data Engineering
Aspect Sentiment Quad Prediction as Paraphrase Generation (2021), published in Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
On the Effectiveness of Parameter-Efficient Fine-Tuning (2023), published in Proceedings of the AAAI Conference on Artificial Intelligence
A Comprehensive Survey on Relation Extraction: Recent Advances and New Frontiers (2024), published in ACM Computing Surveys
A Unified Multi-task Learning Framework for Multi-goal Conversational Recommender Systems (2022), published in ACM Transactions on Information Systems

Frequent coauthors collaborating with Wai Lam include:

Yang Deng
Wenxuan Zhang
Lidong Bing
Hongyuan Lu

Best Publications

LEARNING BAYESIAN BELIEF NETWORKS: AN APPROACH BASED ON THE MDL PRINCIPLE

Wai Lam;Fahiem Bacchus

1185
Citations
A framework for information quality assessment

Besiki Stvilia;Les Gasser;Michael B. Twidale;Linda C. Smith

565
Citations
Transformation Networks for Target-Oriented Sentiment Classification

Xin Li;Lidong Bing;Wai Lam;Bei Shi

487
Citations
MEAD - A Platform for Multidocument Multilingual Text Summarization

Dragomir R. Radev;Timothy Allison;Sasha Blair-Goldensohn;John Blitzer

412
Citations
Exploiting BERT for End-to-End Aspect-based Sentiment Analysis.

Xin Li;Lidong Bing;Wenxuan Zhang;Wai Lam

344
Citations
A Unified Model for Opinion Target Extraction and Target Sentiment Prediction

Xin Li;Lidong Bing;Piji Li;Wai Lam

333
Citations
Using a generalized instance set for automatic text categorization

Wai Lam;Chao Yang Ho

308
Citations
Neural Rating Regression with Abstractive Tips Generation for Recommendation

Piji Li;Zihao Wang;Zhaochun Ren;Lidong Bing

289
Citations
A multilevel approach to intelligent information filtering: model, system, and evaluation

J. Mostafa;S. Mukhopadhyay;M. Palakal;W. Lam

283
Citations
Aspect Term Extraction with History Attention and Selective Transformation

Xin Li;Lidong Bing;Piji Li;Wai Lam

259
Citations
Fuzzy concepts in expert systems

K.S. Leung;W. Lam

241
Citations
Deep Multi-Task Learning for Aspect Term Extraction with Memory Interaction

Xin Li;Wai Lam

238
Citations
Deep Recurrent Generative Decoder for Abstractive Text Summarization

Piji Li;Wai Lam;Lidong Bing;Zihao Wang

229
Citations
Automatic text categorization and its application to text retrieval

Wai Lam;M. Ruiz;P. Srinivasan

210
Citations
Graph Transformer for Graph-to-Sequence Learning.

Deng Cai;Wai Lam

194
Citations
News Sensitive Stock Trend Prediction

Gabriel Pui Cheong Fung;Jeffrey Xu Yu;Wai Lam

193
Citations
Evaluation Challenges in Large-Scale Document Summarization

Dragomir R. Radev;Simone Teufel;Horacio Saggion;Wai Lam

185
Citations
Abstractive Multi-Document Summarization via Phrase Selection and Merging

Lidong Bing;Piji Li;Yi Liao;Wai Lam

184
Citations
Aspect Sentiment Quad Prediction as Paraphrase Generation

Wenxuan Zhang;Yang Deng;Xin Li;Yifei Yuan

183
Citations
Towards Generative Aspect-Based Sentiment Analysis

Wenxuan Zhang;Xin Li;Yang Deng;Lidong Bing

177
Citations
Context-based generic cross-lingual retrieval of documents and automated summaries: Research Articles

Wai Lam;Ki Chan;Dragomir Radev;Horacio Saggion

4
Citations

Frequent Co-Authors

Lidong Bing Carnegie Mellon University

Kwong-Sak Leung Chinese University of Hong Kong

Horacio Saggion Pompeu Fabra University

Dragomir R. Radev Yale University

Simone Teufel University of Cambridge

Yaliang Li Alibaba Group (China)

Helen Meng Chinese University of Hong Kong

Fahiem Bacchus University of Toronto

Ivor W. Tsang Agency for Science, Technology and Research

Charles X. Ling University of Western Ontario

External Links

Personal website of Wai Lam Google Scholar page

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