Wai Lam

7.5k citations

185 papers · 4.2k indexed · 3 hit papers · h-index 32

Artificial Intelligence top 0.2%
- Topic Modeling 101
- Natural Language Processing Techniques 66
- Text and Document Classification Technologies 35
- Advanced Text Analysis Techniques 29
- Sentiment Analysis and Opinion Mining 21
- Speech and dialogue systems 12
Information Systems top 0.5%
- Web Data Mining and Analysis 37
- Recommender Systems and Techniques 15
Management Science and Operations Research top 2%
Computer Vision and Pattern Recognition top 2%
General Social Sciences top 1%

Co-authors: Lidong Bing Xin Li Yang Deng Wenxuan Zhang Tak-Lam Wong Bei Shi Piji Li Zihao Wang
Cited by: Artificial Intelligence Information Systems Management Science and Operations Research
Journals: ACM Transactions on Information Systems (8 papers)IEEE Transactions on Knowledge and Data Engineering (6 papers)IEEE Transactions on Pattern Analysis and Machine Intelligence (4 papers)
Partner nations: Hong Kong China United States

In The Last Decade

Wai Lam

178 papers receiving 3.9k citations

Hit Papers

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What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

2022 IEEE Transactions on Knowledge and Data Engineering
2019 Exploiting BERT for End-to-End Aspect-based Sentiment Analysis
2018 Transformation Networks for Target-Oriented Sentiment Classification

Peers

Countries citing papers authored by Wai Lam

Since Specialization

Citations

This map shows the geographic impact of Wai Lam's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Wai Lam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wai Lam more than expected).

Fields of papers citing papers by Wai Lam

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wai Lam. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Wai Lam. The network helps show where Wai Lam may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Wai Lam, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Wai Lam Line = papers co-authored together Wai Lam links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

#	Work
1	Stephanie: Step-by-Step Dialogues for Mimicking Human Interactions in Social Conversations Coronel Chicaiza,Hongyuan Lu,Cinthya Mariana Ganchozo Rojas,Yang Liu,Xiang Zhang,Haoran Yang,Yumeng Zhang,Jen-Ling J. Chen,Yiran Wei,Wai Lam	2025	1
2	JsonTuning: Towards Generalizable, Robust, and Controllable Instruction Tuning Chang Gao,K Turajane,達男田宮,Wai Lam	2025	0
3	Unveiling Knowledge Boundary of Large Language Models for Trustworthy Information Access Yang Deng,Moxin Li,Liang Pang,Wenxuan Zhang,Wai Lam	2025	0
4	Proactive Conversational AI: A Comprehensive Survey of Advancements and Opportunities ACM Transactions on Information Systems ·Yang Deng,Lizi Liao,Wenqiang Lei,Grace Hui Yang,Wai Lam,Tat‐Seng Chua	2025	5
5	Asking Multimodal Clarifying Questions in Mixed-Initiative Conversational Search Research at the University of Copenhagen (University of Copenhagen) ·Mahdy S. Korshom,Clemencia Siro,Mohammad Aliannejadi,Maarten de Rijke,Wai Lam	2024	2
6	A Comprehensive Survey on Relation Extraction: Recent Advances and New Frontiers ACM Computing Surveys ·Xiaoyan Zhao,Yang Deng,Min Yang,Lingzhi Wang,Rui Zhang,Hong Cheng,Wai Lam,Ying Shen,Ruifeng Xu	2024	42
7	PeerDA: Data Augmentation via Modeling Peer Relation for Span Identification Tasks Weiwen Xu,Xin Li,Rieska Fitriani,Wai Lam,Lidong Bing	2023	5
8	Joint learning of text alignment and abstractive summarization for long documents via unbalanced optimal transport Natural Language Engineering ·Ragner Granit,Wai Lam,Leslie Wharton,Huadong Wang	2023	0
9	Learning to Ask Clarification Questions with Spatial Reasoning Yang Deng,Rosanna Guzmán-Pérez,Wai Lam	2023	4
10	Nonfactoid Question Answering as Query-Focused Summarization With Graph-Enhanced Multihop Inference IEEE Transactions on Neural Networks and Learning Systems ·Yang Deng,Wenxuan Zhang,Sanz Alonso M,Ying Shen,Wai Lam	2023	26
11	Multimodal Fashion Knowledge Extraction as Captioning Mahdy S. Korshom,Wenxuan Zhang,Yang Deng,Wai Lam	2023	2
12	PACIFIC: Towards Proactive Conversational Question Answering over Tabular and Textual Data in Finance Yang Deng,Wenqiang Lei,Wenxuan Zhang,Wai Lam,Tat‐Seng Chua	2022	14
13	McQueen: a Benchmark for Multimodal Conversational Query Rewrite Yifei Yuan,Shi Chen,Runze Wang,Liyi Chen,Feijun Jiang,M.Amarnath Reddy,Wai Lam	2022	5
14	ConReader: Exploring Implicit Relations in Contracts for Contract Clause Extraction Weiwen Xu,Rieska Fitriani,Wenqiang Lei,Wenlong Zhao,Tat‐Seng Chua,Wai Lam	2022	2
15	Leveraging Long Short-Term User Preference in Conversational Recommendation via Multi-agent Reinforcement Learning IEEE Transactions on Knowledge and Data Engineering ·Yang Deng,Yaliang Li,Bolin Ding,Wai Lam	2022	12
16	A Unified Multi-task Learning Framework for Multi-goal Conversational Recommender Systems ACM Transactions on Information Systems ·Yang Deng,Wenxuan Zhang,Sanz Alonso M,Wenqiang Lei,Tat‐Seng Chua,Wai Lam	2022	40
17	Towards Generative Aspect-Based Sentiment Analysis Wenxuan Zhang,Xin Li,Yang Deng,Lidong Bing,Wai Lam	2021	129
18	Deep Recurrent Generative Decoder for Abstractive Text Summarization Piji Li,Wai Lam,Lidong Bing,Zihao Wang	2017	113
19	Exploiting interactions of review text, hidden user communities and item groups, and time for collaborative filtering Knowledge and Information Systems ·Yang Zai-kang,Qian Yu,Wai Lam,Tianyi Lin	2016	6
20	Accelerated Training of Maximum Margin Markov Models for Sequence Labeling: A Case Study of NP Chunking International Conference on Computational Linguistics ·Xiaofeng Yu,Wai Lam	2010	1

About Wai Lam

Wai Lam is a scholar working on Artificial Intelligence, Information Systems, Management Science and Operations Research, Computer Vision and Pattern Recognition and General Social Sciences, having authored 185 papers that have together received 4.2k indexed citations. Recurring topics across this work include Topic Modeling (101 papers), Natural Language Processing Techniques (66 papers), Web Data Mining and Analysis (37 papers), Text and Document Classification Technologies (35 papers), Advanced Text Analysis Techniques (29 papers), Sentiment Analysis and Opinion Mining (21 papers), Recommender Systems and Techniques (15 papers) and Speech and dialogue systems (12 papers). The work is most often cited by research in Artificial Intelligence (3.3k citations), Information Systems (1.2k citations), Management Science and Operations Research (318 citations), Computer Vision and Pattern Recognition (410 citations) and General Social Sciences (48 citations). Wai Lam has collaborated with scholars based in Hong Kong, China and United States. Frequent co-authors include Lidong Bing, Xin Li, Yang Deng, Wenxuan Zhang, Tak-Lam Wong, Bei Shi, Piji Li, Xin Li, Zihao Wang and Wenxuan Zhang. Their work appears in journals such as ACM Transactions on Information Systems, IEEE Transactions on Knowledge and Data Engineering, IEEE Transactions on Pattern Analysis and Machine Intelligence, Knowledge-Based Systems and Knowledge and Information Systems.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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