Wai Lam

Wai Lam, Kwong-Sak Leung, Man Leung Wong, 1999, IEEE SMC'99 Conference Proceedings. 1999 IEEE International Conference on Systems, Man, and Cybernetics (Cat. No.99CH37028).

Exploiting interactions of review text, hidden user communities and item groups, and time for collaborative filtering

Wai Lam, Tianyi Lin, Qian Yu, 2017, Knowledge and Information Systems.

AMR Parsing via Graph-Sequence Iterative Inference

Wai Lam, Deng Cai, Wai Lam, 2020, ACL.

Easy-to-Hard Learning for Information Extraction

Wai Lam, Lidong Bing, Wenxuan Zhang, 2023, ArXiv.

Towards Generative Aspect-Based Sentiment Analysis

Lidong Bing, Wai Lam, Xin Li, 2021, ACL.

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

Xin Li, Wai Lam, Wai Lam, 2017, EMNLP.

Enhancing Dialogue Generation via Multi-Level Contrastive Learning

Wai Lam, Yan Wang, Xiaojiang Liu, 2020, ArXiv.

A Theoretical Analysis of the Repetition Problem in Text Generation

Wai Lam, Bei Shi, Z. Fu, 2020, AAAI.

Wikipedia entity expansion and attribute extraction from the web using semi-supervised learning

Lidong Bing, Wai Lam, Tak-Lam Wong, 2013, WSDM.

Review-based Question Generation with Adaptive Instance Transfer and Augmentation

Wai Lam, Lidong Bing, Qiong Zhang, 2019, ACL.

Neural Machine Translation with Monolingual Translation Memory pdf

Lemao Liu, Yan Wang, Wai Lam, 2021, ACL.

Responding E-commerce Product Questions via Exploiting QA Collections and Reviews

Wai Lam, Zihao Wang, Qian Yu, 2018, COLING.

Chain-of-Dictionary Prompting Elicits Translation in Large Language Models

Furu Wei, Wai Lam, Dongdong Zhang, 2023, 2305.06575.

A Unified Model for Opinion Target Extraction and Target Sentiment Prediction

Xin Li, Piji Li, Lidong Bing, 2018, AAAI.

Partially-Aligned Data-to-Text Generation with Distant Supervision

Lidong Bing, Wai Lam, Zhiyuan Liu, 2020, EMNLP.

Chain-of-Symbol Prompting Elicits Planning in Large Langauge Models

Wai Lam, Yue Zhang, Hongyuan Lu, 2023, 2305.10276.

Chain-of-Dictionary Prompting Elicits Translation in Large Language Models

Furu Wei, Wai Lam, Dongdong Zhang, 2023, ArXiv.

Revamping Multilingual Agreement Bidirectionally via Switched Back-translation for Multilingual Neural Machine Translation

Furu Wei, Wai Lam, Dongdong Zhang, 2022, 2209.13940.

Automatic Textual Document Categorization Based on Generalized Instance Sets and a Metamodel

Wai Lam, Yiqiu Han, Wai Lam, 2003, IEEE Trans. Pattern Anal. Mach. Intell..

Learning via Prototype Generation and Filtering

Wai Lam, Charles X. Ling, Chi-Kin Keung, 2001 .

HIGH‐DIMENSIONAL LEARNING FRAMEWORK   FOR ADAPTIVE DOCUMENT FILTERING *

Wai Lam, Kwok Leung Yu, Wai Lam, 2003, Comput. Intell..

An intelligent adaptive filtering agent based on an on-line learning model (poster abstract)

Wai Lam, Kwok Leung Yu, Wai Lam, 1999, SIGIR '99.

Chain-of-Symbol Prompting Elicits Planning in Large Langauge Models

Wai Lam, Yue Zhang, Hongyuan Lu, 2023, ArXiv.

Transformation Networks for Target-Oriented Sentiment Classification

Xin Li, Lidong Bing, Wai Lam, 2018, ACL.

A Joint Framework for Collaborative Filtering and Metric Learning

Wai Lam, Haoran Xie, Fu Lee Wang, 2016, AIRS.

Collaborative Filtering Incorporating Review Text and Co-clusters of Hidden User Communities and Item Groups

Wai Lam, Tianyi Lin, Yinqing Xu, 2014, CIKM.

Efficient in-memory extensible inverted file

Wai Lam, Robert Wing Pong Luk, Wai Lam, 2007, Inf. Syst..

Using discretization and Bayesian inference network learning for automatic filtering profile generation

Wai Lam, Kon Fan Low, Wai Lam, 2000, IEEE Trans. Syst. Man Cybern. Part C.

Automatic document classification based on probabilistic reasoning: model and performance analysis

Wai Lam, Kon-Fan Low, Wai Lam, 1997, 1997 IEEE International Conference on Systems, Man, and Cybernetics. Computational Cybernetics and Simulation.

Abstraction in Bayesian Belief Networks and Automatic Discovery from Past Inference Sessions

Wai Lam, Wai Lam, 1994, AAAI.

Supervised topic models with word order structure for document classification and retrieval learning

Wai Lam, Lidong Bing, Shoaib Jameel, 2015, Information Retrieval Journal.

Exploring Urban Lifestyles Using a Nonparametric Temporal Graphical Model

Xing Xie, Steven Schockaert, Wai Lam, 2016, ICTIR.

Nonparametric Topic Modeling Using Chinese Restaurant Franchise with Buddy Customers

Lidong Bing, Wai Lam, Shoaib Jameel, 2015, ECIR.

An unsupervised topic segmentation model incorporating word order

Wai Lam, Shoaib Jameel, Wai Lam, 2013, SIGIR.

An N-Gram Topic Model for Time-Stamped Documents

Wai Lam, Shoaib Jameel, Wai Lam, 2013, ECIR.

Jointly Learning Word Embeddings and Latent Topics

Steven Schockaert, Wai Lam, Shoaib Jameel, 2017, SIGIR.

mPMR: A Multilingual Pre-trained Machine Reader at Scale

Wai Lam, Lidong Bing, Weiwen Xu, 2023, ACL.

Unsupervised Cross-lingual Adaptation for Sequence Tagging and Beyond

Wai Lam, Lidong Bing, Wenxuan Zhang, 2020, ArXiv.

Detection of shifts in user interests for personalized information filtering

Javed Mostafa, Wai Lam, Snehasis Mukhopadhyay, 1996, SIGIR '96.

AnswerFact: Fact Checking in Product Question Answering

Wai Lam, Yang Deng, Wenxuan Zhang, 2020, EMNLP.

A new hybrid method for learning bayesian networks: Separation and reunion

Hui Liu, Wai Lam, Shuigeng Zhou, 2017, Knowl. Based Syst..

Chain-of-Symbol Prompting Elicits Planning in Large Langauge Models

Wai Lam, Yue Zhang, Hongyuan Lu, 2023, ArXiv.

Efficient Methods for Biomedical Named Entity Recognition

Wai Lam, Shing-Kit Chan, Wai Lam, 2007, 2007 IEEE 7th International Symposium on BioInformatics and BioEngineering.

Dynamic Topic Tracker for KB-to-Text Generation

Lidong Bing, Wai Lam, Shoaib Jameel, 2020, COLING.

Automatic classification using supervised learning in a medical document filtering application

Javed Mostafa, Wai Lam, Wai Lam, 2000, Inf. Process. Manag..

Robust detection of semi-structured web records using a DOM structure-knowledge-driven model

Lidong Bing, Wai Lam, Tak-Lam Wong, 2013, TWEB.

Semi-supervised Document Clustering via Active Learning with Pairwise Constraints

Wai Lam, Ruizhang Huang, Wai Lam, 2007, Seventh IEEE International Conference on Data Mining (ICDM 2007).

Evaluation Challenges in Large-Scale Document Summarization

Wai Lam, John Blitzer, Dragomir R. Radev, 2003, ACL.

PASSAGE-BASED RETRIEVAL USING PARAMETERIZED FUZZY SET OPERATORS

Wai Lam, R. Luk, K. Ho, 2004 .

A Cascaded Approach to Biomedical Named Entity Recognition Using a Unified Model

Wai Lam, Xiaofeng Yu, Shing-Kit Chan, 2007, Seventh IEEE International Conference on Data Mining (ICDM 2007).

Data Augmentation Based on Adversarial Autoencoder Handling Imbalance for Learning to Rank

Wai Lam, Qian Yu, Wai Lam, 2019, AAAI.

Opinion-aware Answer Generation for Review-driven Question Answering in E-Commerce

Wai Lam, Yang Deng, Wenxuan Zhanng, 2020, CIKM.

Learning a unified embedding space of web search from large-scale query log

Piji Li, Lidong Bing, Wai Lam, 2018, Knowl. Based Syst..

Web Query Reformulation via Joint Modeling of Latent Topic Dependency and Term Context

Lidong Bing, Wai Lam, Tak-Lam Wong, 2015, TOIS.

Website Community Mining from Query Logs with Two-Phase Clustering

Lidong Bing, Wai Lam, Chunliang Lu, 2014, CICLing.

Using query log and social tagging to refine queries based on latent topics

Lidong Bing, Wai Lam, Tak-Lam Wong, 2011, CIKM '11.

A Frustratingly Simple Decoding Method for Neural Text Generation

Wai Lam, Shuming Shi, Haoran Yang, 2023, ArXiv.

Transformation Networks for Target-Oriented Sentiment Classification

Wai Lam, Lidong Bing, Xin Li, 2018, ACL.

Learning Domain-Sensitive and Sentiment-Aware Word Embeddings

Lidong Bing, Wai Lam, Zihao Fu, 2018, ACL.

Latent Aspect Mining via Exploring Sparsity and Intrinsic Information

Wai Lam, Hong Cheng, Anthony Man-Cho So, 2014, CIKM.

Utilizing hierarchical feature domain values for prediction

Wai Lam, Yiqiu Han, Wai Lam, 2007, Data Knowl. Eng..

A New Approach for Semi-supervised Online News Classification

Wai Lam, Hon-Man Ko, Wai Lam, 2005, Human.Society@Internet.

Accelerated Training of Maximum Margin Markov Models for Sequence Labeling: A Case Study of NP Chunking

Wai Lam, Xiaofeng Yu, Wai Lam, 2010, COLING.

Contextualized Code Representation Learning for Commit Message Generation

Zenglin Xu, Wai Lam, Yang Liu, 2020, Neurocomputing.

Towards a unified solution: data record region detection and segmentation

Lidong Bing, Wai Lam, Yuan Gu, 2011, CIKM '11.

Unsupervised Extraction of Popular Product Attributes from Web Sites

Lidong Bing, Wai Lam, Tak-Lam Wong, 2012, AIRS.

An unsupervised framework for extracting and normalizing product attributes from multiple web sites

Wai Lam, Tak-Lam Wong, Tik-Shun Wong, 2008, SIGIR '08.

Narrative Incoherence Detection

Bill Dolan, Wai Lam, Deng Cai, 2020, ArXiv.

An active learning framework for semi-supervised document clustering with language modeling

Wai Lam, Ruizhang Huang, Wai Lam, 2009, Data Knowl. Eng..

Ensemble Model for Multi-Source Cross-Domain Sentiment Classification with Little Labeled Data

Jackie Chun-Sing Ho, Wai Lam, K. Lai, 2020, 2020 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT).

Adaptive Concept Resolution for document representation and its applications in text mining

Yan Zhang, Shan Jiang, Lidong Bing, 2015, Knowl. Based Syst..

Information Retrieval Technology: 15th Asia Information Retrieval Societies Conference, AIRS 2019, Hong Kong, China, November 7–9, 2019, Proceedings

Wai Lam, Lun-Wei Ku, Haoran Xie, 2020, AIRS.

Fact Discovery from Knowledge Base via Facet Decomposition

Wai Lam, Yankai Lin, Zhiyuan Liu, 2019, NAACL.

Digesting News Reader Comments via Fine-Grained Associations with Event Facets and News Contents

Wai Lam, Bei Shi, Wai Lam, 2016, CIKM.

QuaSE: Sequence Editing under Quantifiable Guidance

Shuming Shi, Tong Zhang, Piji Li, 2018, EMNLP.

Review-guided Helpful Answer Identification in E-commerce

Wai Lam, Yang Deng, Wenxuan Zhang, 2020, WWW.

Effects of Azithromycin in bronchiolitis obliterans syndrome after hematopoietic SCT—a randomized double-blinded placebo-controlled study

Wai Lam, W. Au, W. Lam, 2011, Bone Marrow Transplantation.

Learning good prototypes for classification using filtering and abstraction of instances

Wai Lam, Charles X. Ling, Chi-Kin Keung, 2002, Pattern Recognit..

Reader-Aware Multi-Document Summarization: An Enhanced Model and The First Dataset pdf

Piji Li, Lidong Bing, Wai Lam, 2017, NFiS@EMNLP.

Salience Estimation via Variational Auto-Encoders for Multi-Document Summarization

Piji Li, Lidong Bing, Wai Lam, 2017, AAAI.

Reader-Aware Multi-Document Summarization via Sparse Coding pdf

Hang Li, Piji Li, Lidong Bing, 2015, IJCAI.

Web page segmentation with structured prediction and its application in web page classification

Lidong Bing, Wai Lam, Zheng-Yu Niu, 2014, SIGIR.

A meta-learning approach for text categorization

Wai Lam, Kwok-Yin Lai, Wai Lam, 2001, SIGIR '01.

A pilot study of low-dose erythromycin in bronchiectasis.

Wai Lam, K. Yuen, E. Tanaka, 1999, The European respiratory journal.

Entity Retrieval in the Knowledge Graph with Hierarchical Entity Type and Content

Wai Lam, Xinshi Lin, Kwun Ping Lai, 2018, ICTIR.

Web Entity Detection for Semi-structured Text Data Records with Unlabeled Data

Lidong Bing, Wai Lam, Chunliang Lu, 2013, Int. J. Comput. Linguistics Appl..

Introduction to the special topic section on mining Web resources for enhancing information retrieval

Ricardo Baeza-Yates, Carlos A. Hurtado, Marcelo Mendoza, 2007 .

Using New Data to Refine a Bayesian Network

Wai Lam, Fahiem Bacchus, F. Bacchus, 1994, UAI.

Learning a Semantic Space of Web Search via Session Data

Lidong Bing, Wai Lam, Zheng-Yu Niu, 2016, AIRS.

Location and Scatter Matching for Dataset Shift in Text Mining

Ivor W. Tsang, Bo Chen, Wai Lam, 2010, 2010 IEEE International Conference on Data Mining.

Extracting discriminative concepts for domain adaptation in text mining

Ivor W. Tsang, Bo Chen, Wai Lam, 2009, KDD.

A Unified Posterior Regularized Topic Model with Maximum Margin for Learning-to-Rank

Steven Schockaert, Lidong Bing, Wai Lam, 2015, CIKM.

Answer Ranking for Product-Related Questions via Multiple Semantic Relations Modeling

Wai Lam, Yang Deng, Wenxuan Zhang, 2020, SIGIR.

Hidden Dynamic Probabilistic Models for Labeling Sequence Data

Wai Lam, Xiaofeng Yu, Wai Lam, 2008, AAAI.

Medical data mining using evolutionary computation

Po Shun Ngan, Wai Lam, K. Leung, 1999, Artif. Intell. Medicine.

Using Evolutionary Programming and Minimum Description Length Principle for Data Mining of Bayesian Networks

Kwong-Sak Leung, Wai Lam, Man Leung Wong, 1999, IEEE Trans. Pattern Anal. Mach. Intell..

Web-based Workflow Framework with CORBA

Wai Lam, Hong Va Leong, Edward Kei Shiu Ho, 2001, Concurr. Eng. Res. Appl..

Progressive Translation: Improving Domain Robustness of Neural Machine Translation with Intermediate Sequences

Wai Lam, Y. Liu, Chaojun Wang, 2023, ACL.

EPA: Easy Prompt Augmentation on Large Language Models via Multiple Sources and Multiple Targets

Wai Lam, Hongyuan Lu, 2023, ArXiv.

Automatic Text Categorization and Its Application to Text Retrieval

Wai Lam, Padmini Srinivasan, Miguel E. Ruiz, 1999, IEEE Trans. Knowl. Data Eng..

Jointly Identifying Entities and Extracting Relations in Encyclopedia Text via A Graphical Model Approach

Wai Lam, Xiaofeng Yu, Wai Lam, 2010, COLING.

How Ontologies can Help in an E-Marketplace

Dickson K. W. Chiu, Joe Kit Man Poon, Wai Chun Lam, 2005, ECIS.

Meta-evaluation of Summaries in a Cross-lingual Environment using Content-based Metrics

Wai Lam, Dragomir R. Radev, Simone Teufel, 2002, COLING.

Probabilistic joint models incorporating logic and learning via structured variational approximation for information extraction

Wai Lam, Xiaofeng Yu, 2012, Knowledge and Information Systems.

Extracting causation knowledge from natural language texts

Wai Lam, Ki Chan, Ki Chan, 2005, Int. J. Intell. Syst..

Unsupervised KB-to-Text Generation with Auxiliary Triple Extraction using Dual Learning

Lidong Bing, Wai Lam, Bei Shi, 2020, AACL.

Discovering Low-Rank Shared Concept Space for Adapting Text Mining Models

I. Tsang, Bo Chen, Tak-Lam Wong, 2013, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Learning to Adapt Web Information Extraction Knowledge and Discovering New Attributes via a Bayesian Approach

Wai Lam, Tak-Lam Wong, Tak-Lam Wong, 2010, IEEE Transactions on Knowledge and Data Engineering.

A Unified Model for Unsupervised Opinion Spamming Detection Incorporating Text Generality

Wai Lam, Wentao Tian, Bei Shi, 2015, IJCAI.

A Unified Posterior Regularized Topic Model with Maximum Margin for Learning-to-Rank

Wai Lam, Lidong Bing, Shoaib Jameel, 2015, CIKM.

Knowledge Base Refinement Using Limited Amount of Efforts from Experts

Wai Lam, Tak-Lam Wong, Ki Chan, 2014, Int. J. Knowl. Based Organ..

Using contextual analysis for news event detection

Helen M. Meng, W. Lam, K. L. Wong, 2001, Int. J. Intell. Syst..

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

Javed Mostafa, Wai Lam, Snehasis Mukhopadhyay, 1997, TOIS.

Distributed data mining of probabilistic knowledge

Wai Lam, Alberto Maria Segre, Wai Lam, 1997, Proceedings of 17th International Conference on Distributed Computing Systems.

Chain-of-Symbol Prompting Elicits Planning in Large Langauge Models

Wai Lam, Yue Zhang, Hongyuan Lu, 2023, ArXiv.