| 2026 | ACL | Reinforcement Learning on Pre-Training Data. | Siheng Li, Kejiao Li, Zenan Xu, Guanhua Huang, Kun Li, Haoyuan Wu, Jiajia Wu, Zihao Zheng, Chenchen Zhang, Kun Shi, Xue Gong, Qi Yi, Ruibin Xiong, Tingqiang Xu, Yuhao Jiang, Jianfeng Yan, Yuyuan Zeng, Guanghui Xu, Jinbao Xue, Zhijiang Xu, Zheng Fang, Shuai Li, Qibin Liu, Xiaoxue Li, Zhuoyu Li, Yangyu Tao, Fei Gao, Cheng Jiang, Bochao Wang, Kai Liu, Jianchen Zhu, Wai Lam, Bo Zhou, Di Wang |
| 2026 | ACL | Adam's Law: Textual Frequency Law on Large Language Models. | Hongyuan Lu, Zixuan Li, Zefan Zhang, Bowen Cao, Wai Lam |
| 2026 | ACL | Multi-LLM Collaborative Search for Complex Problem Solving. | Sen Yang, Yafu Li, Wai Lam, Yu Cheng |
| 2025 | ACL | InfiniteICL: Breaking the Limit of Context Window Size via Long Short-term Memory Transformation. | Bowen Cao, Deng Cai, Wai Lam |
| 2025 | ACL | JsonTuning: Towards Generalizable, Robust, and Controllable Instruction Tuning. | Chang Gao, Wenxuan Zhang, Guizhen Chen, Wai Lam |
| 2025 | ACL | SWE-Fixer: Training Open-Source LLMs for Effective and Efficient GitHub Issue Resolution. | Chengxing Xie, Bowen Li, Chang Gao, He Du, Wai Lam, Difan Zou, Kai Chen |
| 2025 | ACL | SeqPO-SiMT: Sequential Policy Optimization for Simultaneous Machine Translation. | Ting Xu, Zhichao Huang, Jiankai Sun, Shanbo Cheng, Wai Lam |
| 2025 | ACL | The Essence of Contextual Understanding in Theory of Mind: A Study on Question Answering with Story Characters. | Chulun Zhou, Qiujing Wang, Mo Yu, Xiaoqian Yue, Rui Lu, Jiangnan Li, Yifan Zhou, Shunchi Zhang, Jie Zhou, Wai Lam |
| 2025 | EMNLP | LNE-Blocking: An Efficient Framework for Contamination Mitigation Evaluation on Large Language Models. | Ruijie Hou, Jiao Yueyang, Hanxu Hu, Yingming Li, Wai Lam, Huajian Zhang, Hongyuan Lu |
| 2025 | EMNLP | SLoW: Select Low-frequency Words! Automatic Dictionary Selection for Translation on Large Language Models. | Hongyuan Lu, Zixuan Li, Zefan Zhang, Wai Lam |
| 2025 | ICLR | Harnessing Webpage UIs for Text-Rich Visual Understanding. | Junpeng Liu, Tianyue Ou, Yifan Song, Yuxiao Qu, Wai Lam, Chenyan Xiong, Wenhu Chen, Graham Neubig, Xiang Yue |
| 2025 | NAACL | Neuro-Symbolic Integration Brings Causal and Reliable Reasoning Proofs. | Sen Yang, Xin Li, Leyang Cui, Lidong Bing, Wai Lam |
| 2025 | NAACL | Stephanie: Step-by-Step Dialogues for Mimicking Human Interactions in Social Conversations. | Hao Yang, Hongyuan Lu, Xinhua Zeng, Yang Liu, Xiang Zhang, Haoran Yang, Yumeng Zhang, Shan Huang, Yiran Wei, Wai Lam |
| 2025 | NAACL | LLM2: Let Large Language Models Harness System 2 Reasoning. | Cheng Yang, Chufan Shi, Siheng Li, Bo Shui, Yujiu Yang, Wai Lam |
| 2025 | SIGIR | Unveiling Knowledge Boundary of Large Language Models for Trustworthy Information Access. | Yang Deng, Moxin Li, Liang Pang, Wenxuan Zhang, Wai Lam |
| 2024 | ACL | Distributional Inclusion Hypothesis and Quantifications: Probing for Hypernymy in Functional Distributional Semantics. | Chun Hei Lo, Wai Lam, Hong Cheng, Guy Emerson |
| 2024 | ACL | CodeAttack: Revealing Safety Generalization Challenges of Large Language Models via Code Completion. | Qibing Ren, Chang Gao, Jing Shao, Junchi Yan, Xin Tan, Wai Lam, Lizhuang Ma |
| 2024 | ACL | Reasons to Reject? Aligning Language Models with Judgments. | Weiwen Xu, Deng Cai, Zhisong Zhang, Wai Lam, Shuming Shi |
| 2024 | COLING | CO3: Low-resource Contrastive Co-training for Generative Conversational Query Rewrite. | Yifei Yuan, Chen Shi, Runze Wang, Liyi Chen, Renjun Hu, Zengming Zhang, Feijun Jiang, Wai Lam |
| 2024 | COLING | A Frustratingly Simple Decoding Method for Neural Text Generation. | Haoran Yang, Deng Cai, Huayang Li, Wei Bi, Wai Lam, Shuming Shi |
| 2024 | EACL | Revamping Multilingual Agreement Bidirectionally via Switched Back-translation for Multilingual Neural Machine Translation. | Hongyuan Lu, Haoyang Huang, Dongdong Zhang, Furu Wei, Wai Lam |
| 2024 | EMNLP | Not All Preference Pairs Are Created Equal: A Recipe for Annotation-Efficient Iterative Preference Learning. | Sen Yang, Leyang Cui, Deng Cai, Xinting Huang, Shuming Shi, Wai Lam |
| 2024 | EMNLP | Consecutive Batch Model Editing with HooK Layers. | Shuaiyi Li, Yang Deng, Deng Cai, Hongyuan Lu, Liang Chen, Wai Lam |
| 2024 | EMNLP | Chain-of-Dictionary Prompting Elicits Translation in Large Language Models. | Hongyuan Lu, Haoran Yang, Haoyang Huang, Dongdong Zhang, Wai Lam, Furu Wei |
| 2024 | EMNLP | A Thorough Examination of Decoding Methods in the Era of LLMs. | Chufan Shi, Haoran Yang, Deng Cai, Zhisong Zhang, Yifan Wang, Yujiu Yang, Wai Lam |
| 2024 | ICLR | Plug-and-Play Policy Planner for Large Language Model Powered Dialogue Agents. | Yang Deng, Wenxuan Zhang, Wai Lam, See-Kiong Ng, Tat-Seng Chua |
| 2024 | NAACL | Rephrasing Invokes Better Generations for Large Language Models. | Haoran Yang, Hongyuan Lu, Wai Lam |
| 2024 | NAACL | Exploring Compositional Generalization of Large Language Models. | Haoran Yang, Hongyuan Lu, Wai Lam, Deng Cai |
| 2024 | NAACL | Unveiling the Generalization Power of Fine-Tuned Large Language Models. | Haoran Yang, Yumeng Zhang, Jiaqi Xu, Hongyuan Lu, Pheng-Ann Heng, Wai Lam |
| 2024 | WWW | Asking Multimodal Clarifying Questions in Mixed-Initiative Conversational Search. | Yifei Yuan, Clemencia Siro, Mohammad Aliannejadi, Maarten de Rijke, Wai Lam |
| 2023 | AAAI | On the Effectiveness of Parameter-Efficient Fine-Tuning. | Zihao Fu, Haoran Yang, Anthony Man-Cho So, Wai Lam, Lidong Bing, Nigel Collier |
| 2023 | ACL | Knowledge-enhanced Mixed-initiative Dialogue System for Emotional Support Conversations. | Yang Deng, Wenxuan Zhang, Yifei Yuan, Wai Lam |
| 2023 | ACL | Product Question Answering in E-Commerce: A Survey. | Yang Deng, Wenxuan Zhang, Qian Yu, Wai Lam |
| 2023 | ACL | Enhancing Grammatical Error Correction Systems with Explanations. | Yuejiao Fei, Leyang Cui, Sen Yang, Wai Lam, Zhenzhong Lan, Shuming Shi |
| 2023 | ACL | Easy-to-Hard Learning for Information Extraction. | Chang Gao, Wenxuan Zhang, Wai Lam, Lidong Bing |
| 2023 | ACL | Progressive Translation: Improving Domain Robustness of Neural Machine Translation with Intermediate Sequences. | Chaojun Wang, Yang Liu, Wai Lam |
| 2023 | ACL | PeerDA: Data Augmentation via Modeling Peer Relation for Span Identification Tasks. | Weiwen Xu, Xin Li, Yang Deng, Wai Lam, Lidong Bing |
| 2023 | ACL | mPMR: A Multilingual Pre-trained Machine Reader at Scale. | Weiwen Xu, Xin Li, Wai Lam, Lidong Bing |
| 2023 | EACL | PCC: Paraphrasing with Bottom-k Sampling and Cyclic Learning for Curriculum Data Augmentation. | Hongyuan Lu, Wai Lam |
| 2023 | EACL | Bridging the Gap between Pre-Training and Fine-Tuning for Commonsense Generation. | Haoran Yang, Yan Wang, Piji Li, Wei Bi, Wai Lam, Chen Xu |
| 2023 | EMNLP | DepWiGNN: A Depth-wise Graph Neural Network for Multi-hop Spatial Reasoning in Text. | Shuaiyi Li, Yang Deng, Wai Lam |
| 2023 | EMNLP | TRIP: Accelerating Document-level Multilingual Pre-training via Triangular Document-level Pre-training on Parallel Data Triplets. | Hongyuan Lu, Haoyang Huang, Shuming Ma, Dongdong Zhang, Wai Lam, Zhaochuan Gao, Anthony Aue, Arul Menezes, Furu Wei |
| 2023 | EMNLP | Once Upon a Time in Graph: Relative-Time Pretraining for Complex Temporal Reasoning. | Sen Yang, Xin Li, Lidong Bing, Wai Lam |
| 2023 | IJCAI | A Survey on Proactive Dialogue Systems: Problems, Methods, and Prospects. | Yang Deng, Wenqiang Lei, Wai Lam, Tat-Seng Chua |
| 2023 | SIGIR | Learning to Ask Clarification Questions with Spatial Reasoning. | Yang Deng, Shuaiyi Li, Wai Lam |
| 2022 | ACL | UniGDD: A Unified Generative Framework for Goal-Oriented Document-Grounded Dialogue. | Chang Gao, Wenxuan Zhang, Wai Lam |
| 2022 | ACL | Semantic Composition with PSHRG for Derivation Tree Reconstruction from Graph-Based Meaning Representations. | Chun Hei Lo, Wai Lam, Hong Cheng |
| 2022 | ACL | On Controlling Fallback Responses for Grounded Dialogue Generation. | Hongyuan Lu, Wai Lam, Hong Cheng, Helen Meng |
| 2022 | ECIR | Search Clarification Selection via Query-Intent-Clarification Graph Attention. | Chang Gao, Wai Lam |
| 2022 | EMNLP | Retrofitting Multilingual Sentence Embeddings with Abstract Meaning Representation. | Deng Cai, Xin Li, Jackie Chun-Sing Ho, Lidong Bing, Wai Lam |
| 2022 | EMNLP | 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 | EMNLP | Towards Generalizable and Robust Text-to-SQL Parsing. | Chang Gao, Bowen Li, Wenxuan Zhang, Wai Lam, Binhua Li, Fei Huang, Luo Si, Yongbin Li |
| 2022 | EMNLP | ConReader: Exploring Implicit Relations in Contracts for Contract Clause Extraction. | Weiwen Xu, Yang Deng, Wenqiang Lei, Wenlong Zhao, Tat-Seng Chua, Wai Lam |
| 2022 | EMNLP | McQueen: a Benchmark for Multimodal Conversational Query Rewrite. | Yifei Yuan, Chen Shi, Runze Wang, Liyi Chen, Feijun Jiang, Yuan You, Wai Lam |
| 2022 | NAACL | Partner Personas Generation for Dialogue Response Generation. | Hongyuan Lu, Wai Lam, Hong Cheng, Helen Meng |
| 2022 | WWW | User Satisfaction Estimation with Sequential Dialogue Act Modeling in Goal-oriented Conversational Systems. | Yang Deng, Wenxuan Zhang, Wai Lam, Hong Cheng, Helen Meng |
| 2022 | WSDM | Sentiment Analysis of Fashion Related Posts in Social Media. | Yifei Yuan, Wai Lam |
| 2021 | AAAI | A Theoretical Analysis of the Repetition Problem in Text Generation. | Zihao Fu, Wai Lam, Anthony Man-Cho So, Bei Shi |
| 2021 | ACL | Neural Machine Translation with Monolingual Translation Memory. | Deng Cai, Yan Wang, Huayang Li, Wai Lam, Lemao Liu |
| 2021 | ACL | Dynamic Semantic Graph Construction and Reasoning for Explainable Multi-hop Science Question Answering. | Weiwen Xu, Huihui Zhang, Deng Cai, Wai Lam |
| 2021 | ACL | Towards Generative Aspect-Based Sentiment Analysis. | Wenxuan Zhang, Xin Li, Yang Deng, Lidong Bing, Wai Lam |
| 2021 | ACML | A Two-Stage Training Framework with Feature-Label Matching Mechanism for Learning from Label Proportions. | Haoran Yang, Wanjing Zhang, Wai Lam |
| 2021 | EMNLP | Multilingual AMR Parsing with Noisy Knowledge Distillation. | Deng Cai, Xin Li, Jackie Chun-Sing Ho, Lidong Bing, Wai Lam |
| 2021 | EMNLP | Exploiting Reasoning Chains for Multi-hop Science Question Answering. | Weiwen Xu, Yang Deng, Huihui Zhang, Deng Cai, Wai Lam |
| 2021 | EMNLP | Contrastive Representation Learning for Exemplar-Guided Paraphrase Generation. | Haoran Yang, Wai Lam, Piji Li |
| 2021 | EMNLP | Aspect Sentiment Quad Prediction as Paraphrase Generation. | Wenxuan Zhang, Yang Deng, Xin Li, Yifei Yuan, Lidong Bing, Wai Lam |
| 2021 | EMNLP | Aspect-based Sentiment Analysis in Question Answering Forums. | Wenxuan Zhang, Yang Deng, Xin Li, Lidong Bing, Wai Lam |
| 2021 | EMNLP | Cross-lingual Aspect-based Sentiment Analysis with Aspect Term Code-Switching. | Wenxuan Zhang, Ruidan He, Haiyun Peng, Lidong Bing, Wai Lam |
| 2021 | RANLP | Towards Domain-Generalizable Paraphrase Identification by Avoiding the Shortcut Learning. | Xin Shen, Wai Lam |
| 2021 | RANLP | Sentence Structure and Word Relationship Modeling for Emphasis Selection. | Haoran Yang, Wai Lam |
| 2021 | SIGIR | Unified Conversational Recommendation Policy Learning via Graph-based Reinforcement Learning. | Yang Deng, Yaliang Li, Fei Sun, Bolin Ding, Wai Lam |
| 2021 | SIGIR | Conversational Fashion Image Retrieval via Multiturn Natural Language Feedback. | Yifei Yuan, Wai Lam |
| 2020 | AAAI | Graph Transformer for Graph-to-Sequence Learning. | Deng Cai, Wai Lam |
| 2020 | AAAI | Joint Learning of Answer Selection and Answer Summary Generation in Community Question Answering. | Yang Deng, Wai Lam, Yuexiang Xie, Daoyuan Chen, Yaliang Li, Min Yang, Ying Shen |
| 2020 | AAAI | Open Domain Event Text Generation. | Zihao Fu, Lidong Bing, Wai Lam |
| 2020 | AAAI | Relevance-Promoting Language Model for Short-Text Conversation. | Xin Li, Piji Li, Wei Bi, Xiaojiang Liu, Wai Lam |
| 2020 | ACL | AMR Parsing via Graph-Sequence Iterative Inference. | Deng Cai, Wai Lam |
| 2020 | ACL | Review-based Question Generation with Adaptive Instance Transfer and Augmentation. | Qian Yu, Lidong Bing, Qiong Zhang, Wai Lam, Luo Si |
| 2020 | CIKM | Opinion-aware Answer Generation for Review-driven Question Answering in E-Commerce. | Yang Deng, Wenxuan Zhang, Wai Lam |
| 2020 | COLING | Intra-/Inter-Interaction Network with Latent Interaction Modeling for Multi-turn Response Selection. | Yang Deng, Wenxuan Zhang, Wai Lam |
| 2020 | COLING | Dynamic Topic Tracker for KB-to-Text Generation. | Zihao Fu, Lidong Bing, Wai Lam, Shoaib Jameel |
| 2020 | EMNLP | Multi-hop Inference for Question-driven Summarization. | Yang Deng, Wenxuan Zhang, Wai Lam |
| 2020 | EMNLP | Partially-Aligned Data-to-Text Generation with Distant Supervision. | Zihao Fu, Bei Shi, Wai Lam, Lidong Bing, Zhiyuan Liu |
| 2020 | EMNLP | AnswerFact: Fact Checking in Product Question Answering. | Wenxuan Zhang, Yang Deng, Jing Ma, Wai Lam |
| 2020 | ICANN | Cross-Domain Sentiment Classification Using Topic Attention and Dual-Task Adversarial Training. | Kwun Ping Lai, Jackie Chun-Sing Ho, Wai Lam |
| 2020 | IJCNLP | Unsupervised KB-to-Text Generation with Auxiliary Triple Extraction using Dual Learning. | Zihao Fu, Bei Shi, Lidong Bing, Wai Lam |
| 2020 | IJCNLP | Point-of-Interest Oriented Question Answering with Joint Inference of Semantic Matching and Distance Correlation. | Yifei Yuan, Jingbo Zhou, Wai Lam |
| 2020 | IJCNLP | Answering Product-related Questions with Heterogeneous Information. | Wenxuan Zhang, Qian Yu, Wai Lam |
| 2020 | WWW | Review-guided Helpful Answer Identification in E-commerce. | Wenxuan Zhang, Wai Lam, Yang Deng, Jing Ma |
| 2020 | SIGIR | Bridging Hierarchical and Sequential Context Modeling for Question-driven Extractive Answer Summarization. | Yang Deng, Wenxuan Zhang, Yaliang Li, Min Yang, Wai Lam, Ying Shen |
| 2020 | SIGIR | Soft Kernel-based Ranking on a Statistical Manifold. | Xinshi Lin, Wai Lam |
| 2020 | SIGIR | Answer Ranking for Product-Related Questions via Multiple Semantic Relations Modeling. | Wenxuan Zhang, Yang Deng, Wai Lam |
| 2019 | AAAI | Word Embedding as Maximum A Posteriori Estimation. | Shoaib Jameel, Zihao Fu, Bei Shi, Wai Lam, Steven Schockaert |
| 2019 | AAAI | A Unified Model for Opinion Target Extraction and Target Sentiment Prediction. | Xin Li, Lidong Bing, Piji Li, Wai Lam |
| 2019 | AAAI | Data Augmentation Based on Adversarial Autoencoder Handling Imbalance for Learning to Rank. | Qian Yu, Wai Lam |
| 2019 | EMNLP | Core Semantic First: A Top-down Approach for AMR Parsing. | Deng Cai, Wai Lam |
| 2019 | EMNLP | Tackling Long-Tailed Relations and Uncommon Entities in Knowledge Graph Completion. | Zihao Wang, Kwun Ping Lai, Piji Li, Lidong Bing, Wai Lam |
| 2019 | NAACL | Skeleton-to-Response: Dialogue Generation Guided by Retrieval Memory. | Deng Cai, Yan Wang, Wei Bi, Zhaopeng Tu, Xiaojiang Liu, Wai Lam, Shuming Shi |
| 2019 | NAACL | Fact Discovery from Knowledge Base via Facet Decomposition. | Zihao Fu, Yankai Lin, Zhiyuan Liu, Wai Lam |
| 2019 | WWW | Persona-Aware Tips Generation? | Piji Li, Zihao Wang, Lidong Bing, Wai Lam |
| 2018 | ACL | Transformation Networks for Target-Oriented Sentiment Classification. | Xin Li, Lidong Bing, Wai Lam, Bei Shi |
| 2018 | ACL | Learning Domain-Sensitive and Sentiment-Aware Word Embeddings. | Bei Shi, Zihao Fu, Lidong Bing, Wai Lam |
| 2018 | COLING | Responding E-commerce Product Questions via Exploiting QA Collections and Reviews. | Qian Yu, Wai Lam, Zihao Wang |
| 2018 | ECIR | Entity Retrieval via Type Taxonomy Aware Smoothing. | Xinshi Lin, Wai Lam |
| 2018 | EMNLP | QuaSE: Sequence Editing under Quantifiable Guidance. | Yi Liao, Lidong Bing, Piji Li, Shuming Shi, Wai Lam, Tong Zhang |
| 2018 | IJCAI | Aspect Term Extraction with History Attention and Selective Transformation. | Xin Li, Lidong Bing, Piji Li, Wai Lam, Zhimou Yang |
| 2018 | ICTIR | Entity Retrieval in the Knowledge Graph with Hierarchical Entity Type and Content. | Xinshi Lin, Wai Lam, Kwun Ping Lai |
| 2018 | ICTIR | Product Question Intent Detection using Indicative Clause Attention and Adversarial Learning. | Qian Yu, Wai Lam |
| 2018 | WSDM | Review-Aware Answer Prediction for Product-Related Questions Incorporating Aspects. | Qian Yu, Wai Lam |
| 2017 | AAAI | Salience Estimation via Variational Auto-Encoders for Multi-Document Summarization. | Piji Li, Zihao Wang, Wai Lam, Zhaochun Ren, Lidong Bing |
| 2017 | EMNLP | Reader-Aware Multi-Document Summarization: An Enhanced Model and The First Dataset. | Piji Li, Lidong Bing, Wai Lam |
| 2017 | EMNLP | Deep Multi-Task Learning for Aspect Term Extraction with Memory Interaction. | Xin Li, Wai Lam |
| 2017 | EMNLP | Cascaded Attention based Unsupervised Information Distillation for Compressive Summarization. | Piji Li, Wai Lam, Lidong Bing, Weiwei Guo, Hang Li |
| 2017 | EMNLP | Deep Recurrent Generative Decoder for Abstractive Text Summarization. | Piji Li, Wai Lam, Lidong Bing, Zihao Wang |
| 2017 | SIGIR | Neural Rating Regression with Abstractive Tips Generation for Recommendation. | Piji Li, Zihao Wang, Zhaochun Ren, Lidong Bing, Wai Lam |
| 2017 | SIGIR | Jointly Learning Word Embeddings and Latent Topics. | Bei Shi, Wai Lam, Shoaib Jameel, Steven Schockaert, Kwun Ping Lai |
| 2016 | ACL | Detecting Common Discussion Topics Across Culture From News Reader Comments. | Bei Shi, Wai Lam, Lidong Bing, Yinqing Xu |
| 2016 | CIKM | Digesting News Reader Comments via Fine-Grained Associations with Event Facets and News Contents. | Bei Shi, Wai Lam |
| 2016 | CIKM | Digesting Multilingual Reader Comments via Latent Discussion Topics with Commonality and Specificity. | Bei Shi, Wai Lam, Lidong Bing, Yinqing Xu |
| 2016 | ICDM | Whether This Participant will Attract You to This Event? Exploiting Participant Influence for Event Recommendation. | Yi Liao, Xinshi Lin, Wai Lam |
| 2016 | ICTIR | Exploring Urban Lifestyles Using a Nonparametric Temporal Graphical Model. | Shoaib Jameel, Yi Liao, Wai Lam, Steven Schockaert, Xing Xie |
| 2016 | ICTIR | Who Wants to Join Me?: Companion Recommendation in Location Based Social Networks. | Yi Liao, Wai Lam, Shoaib Jameel, Steven Schockaert, Xing Xie |
| 2015 | ACL | Abstractive Multi-Document Summarization via Phrase Selection and Merging. | Lidong Bing, Piji Li, Yi Liao, Wai Lam, Weiwei Guo, Rebecca J. Passonneau |
| 2015 | ACL | Entity Retrieval via Entity Factoid Hierarchy. | Chunliang Lu, Wai Lam, Yi Liao |
| 2015 | CIKM | A Unified Posterior Regularized Topic Model with Maximum Margin for Learning-to-Rank. | Shoaib Jameel, Wai Lam, Steven Schockaert, Lidong Bing |
| 2015 | ECIR | Nonparametric Topic Modeling Using Chinese Restaurant Franchise with Buddy Customers. | Shoaib Jameel, Wai Lam, Lidong Bing |
| 2015 | IJCAI | Reader-Aware Multi-Document Summarization via Sparse Coding. | Piji Li, Lidong Bing, Wai Lam, Hang Li, Yi Liao |
| 2015 | IJCAI | A Unified Model for Unsupervised Opinion Spamming Detection Incorporating Text Generality. | Yinqing Xu, Bei Shi, Wentao Tian, Wai Lam |
| 2015 | Interspeech | Topic modeling for conference analytics. | Pengfei Liu, Shoaib Jameel, Wai Lam, Bin Ma, Helen M. Meng |
| 2014 | CICLING | Website Community Mining from Query Logs with Two-Phase Clustering. | Lidong Bing, Wai Lam, Shoaib Jameel, Chunliang Lu |
| 2014 | CIKM | Collaborative Filtering Incorporating Review Text and Co-clusters of Hidden User Communities and Item Groups. | Yinqing Xu, Wai Lam, Tianyi Lin |
| 2014 | CIKM | Latent Aspect Mining via Exploring Sparsity and Intrinsic Information. | Yinqing Xu, Tianyi Lin, Wai Lam, Zirui Zhou, Hong Cheng, Anthony Man-Cho So |
| 2014 | SIGIR | Web page segmentation with structured prediction and its application in web page classification. | Lidong Bing, Rui Guo, Wai Lam, Zheng-Yu Niu, Haifeng Wang |
| 2013 | CIKM | Structured positional entity language model for enterprise entity retrieval. | Chunliang Lu, Lidong Bing, Wai Lam |
| 2013 | ECIR | An N-Gram Topic Model for Time-Stamped Documents. | Shoaib Jameel, Wai Lam |
| 2013 | SIGIR | An unsupervised topic segmentation model incorporating word order. | Shoaib Jameel, Wai Lam |
| 2013 | WSDM | Wikipedia entity expansion and attribute extraction from the web using semi-supervised learning. | Lidong Bing, Wai Lam, Tak-Lam Wong |
| 2012 | COLING | N-gram Fragment Sequence Based Unsupervised Domain-Specific Document Readability. | Shoaib Jameel, Xiaojun Qian, Wai Lam |
| 2011 | CIKM | Towards a unified solution: data record region detection and segmentation. | Lidong Bing, Wai Lam, Yuan Gu |
| 2011 | CIKM | Using query log and social tagging to refine queries based on latent topics. | Lidong Bing, Wai Lam, Tak-Lam Wong |
| 2011 | CIKM | An unsupervised ranking method based on a technical difficulty terrain. | Shoaib Jameel, Wai Lam, Ching-man Au Yeung, Sheaujiun Chyan |
| 2011 | KDD | Ontology enhancement and concept granularity learning: keeping yourself current and adaptive. | Shan Jiang, Lidong Bing, Bai Sun, Yan Zhang, Wai Lam |
| 2011 | WSDM | Normalizing web product attributes and discovering domain ontology with minimal effort. | Tak-Lam Wong, Lidong Bing, Wai Lam |
| 2010 | AAAI | Bidirectional Integration of Pipeline Models. | Xiaofeng Yu, Wai Lam |
| 2010 | CIKM | Learning ontology resolution for document representation and its applications in text mining. | Lidong Bing, Bai Sun, Shan Jiang, Yan Zhang, Wai Lam |
| 2010 | COLING | Jointly Identifying Entities and Extracting Relations in Encyclopedia Text via A Graphical Model Approach. | Xiaofeng Yu, Wai Lam |
| 2010 | COLING | Accelerated Training of Maximum Margin Markov Models for Sequence Labeling: A Case Study of NP Chunking. | Xiaofeng Yu, Wai Lam |
| 2010 | ICDM | Pseudo Conditional Random Fields: Joint Training Approach to Segmenting and Labeling Sequence Data. | Shing-Kit Chan, Wai Lam |
| 2010 | ICDM | Location and Scatter Matching for Dataset Shift in Text Mining. | Bo Chen, Wai Lam, Ivor W. Tsang, Tak-Lam Wong |
| 2010 | ICMLC | Adapting relational logic models using unlabeled data. | Ki Chan, Tak-Lam Wong, Wai Lam |
| 2009 | CIKM | An integrated discriminative probabilistic approach to information extraction. | Xiaofeng Yu, Wai Lam, Bo Chen |
| 2009 | KDD | Extracting discriminative concepts for domain adaptation in text mining. | Bo Chen, Wai Lam, Ivor W. Tsang, Tak-Lam Wong |
| 2009 | PAKDD | An Efficient Method for Generating, Storing and Matching Features for Text Mining. | Shing-Kit Chan, Wai Lam |
| 2009 | SIGIR | Mining employment market via text block detection and adaptive cross-domain information extraction. | Tak-Lam Wong, Wai Lam, Bo Chen |
| 2009 | SDM | A Semi-Supervised Framework for Feature Mapping and Multiclass Classification. | Bo Chen, Wai Lam, Ivor W. Tsang, Tak-Lam Wong |
| 2008 | AAAI | An Unsupervised Approach for Product Record Normalization across Different Web Sites. | Tak-Lam Wong, Tik-Shun Wong, Wai Lam |
| 2008 | AAAI | Hidden Dynamic Probabilistic Models for Labeling Sequence Data. | Xiaofeng Yu, Wai Lam |
| 2008 | CIKM | Coreference resolution using expressive logic models. | Ki Chan, Wai Lam, Xiaofeng Yu |
| 2008 | COLING | An Integrated Probabilistic and Logic Approach to Encyclopedia Relation Extraction with Multiple Features. | Xiaofeng Yu, Wai Lam |
| 2008 | IJCNLP | An Online Cascaded Approach to Biomedical Named Entity Recognition. | Shing-Kit Chan, Wai Lam, Xiaofeng Yu |
| 2008 | IJCNLP | A Framework Based on Graphical Models with Logic for Chinese Named Entity Recognition. | Xiaofeng Yu, Wai Lam, Shing-Kit Chan |
| 2008 | IJCNLP | Chinese NER Using CRFs and Logic for the Fourth SIGHAN Bakeoff. | Xiaofeng Yu, Wai Lam, Shing-Kit Chan, Yiu Kei Wu, Bo Chen |
| 2008 | SIGIR | An unsupervised framework for extracting and normalizing product attributes from multiple web sites. | Tak-Lam Wong, Wai Lam, Tik-Shun Wong |
| 2007 | BIBE | Efficient Methods for Biomedical Named Entity Recognition. | Shing-Kit Chan, Wai Lam |
| 2007 | ICDM | A Cascaded Approach to Biomedical Named Entity Recognition Using a Unified Model. | Shing-Kit Chan, Wai Lam, Xiaofeng Yu |
| 2007 | ICDM | Semi-supervised Document Clustering via Active Learning with Pairwise Constraints. | Ruizhang Huang, Wai Lam |
| 2007 | SDM | Active Learning of Constraints for Semi-supervised Text Clustering. | Ruizhang Huang, Wai Lam, Zhigang Zhang |
| 2006 | PAKDD | Extracting and Summarizing Hot Item Features Across Different Auction Web Sites. | Tak-Lam Wong, Wai Lam, Shing-Kit Chan |
| 2006 | SIGIR | Refining hierarchical taxonomy structure via semi-supervised learning. | Ruizhang Huang, Zhigang Zhang, Wai Lam |
| 2006 | SDM | Collaborative Information Extraction and Mining from Multiple Web Documents. | Tak-Lam Wong, Wai Lam, Shing-Kit Chan |
| 2005 | ICDM | Hot Item Mining and Summarization from Multiple Auction Web Sites. | Tak-Lam Wong, Wai Lam |
| 2005 | ICMLC | Exploring Query Matrix for Support Pattern Based Classification Learning. | Yiqiu Han, Wai Lam |
| 2005 | ICMLC | Training Conditional Random Fields with Unlabeled Data and Limited Number of Labeled Examples. | Tak-Lam Wong, Wai Lam |
| 2005 | SDM | Lazy Learning for Classification Based on Query Projections. | Yiqiu Han, Wai Lam |
| 2005 | SDM | Learning to Refine Ontology for a New Web Site Using a Bayesian Approach. | Tak-Lam Wong, Wai Lam |
| 2004 | CIS | Interpretable Query Projection Learning. | Yiqiu Han, Wai Lam |
| 2004 | ICDM | Query-Driven Support Pattern Discovery for Classification Learning. | Yiqiu Han, Wai Lam |
| 2004 | ICDM | A Probabilistic Approach for Adapting Information Extraction Wrappers and Discovering New Attributes. | Tak-Lam Wong, Wai Lam |
| 2004 | IJCNLP | Phoneme-Based Transliteration of Foreign Names for OOV Problem. | Wei Gao, Kam-Fai Wong, Wai Lam |
| 2004 | LREC | MEAD - A Platform for Multidocument Multilingual Text Summarization. | Dragomir R. Radev, Timothy Allison, Sasha Blair-Goldensohn, John Blitzer, Arda elebi, Stanko Dimitrov, Elliott Drbek, Ali Hakim, Wai Lam, Danyu Liu, Jahna Otterbacher, Hong Qi, Horacio Saggion, Simone Teufel, Michael Topper, Adam Winkel, Zhu Zhang |
| 2004 | SIGIR | Learning phonetic similarity for matching named entity translations and mining new translations. | Wai Lam, Ruizhang Huang, Pik-Shan Cheung |
| 2004 | SDM | Lazy Learning by Scanning Memory Image Lattice. | Yiqiu Han, Wai Lam |
| 2004 | SDM | Exploiting Hierarchical Domain Values in Classification Learning. | Yiqiu Han, Wai Lam |
| 2004 | SDM | Text Mining from Site Invariant and Dependent Features for Information Extraction Knowledge Adaptation. | Wai Lam, Tak-Lam Wong |
| 2003 | ACL | Evaluation Challenges in Large-Scale Document Summarization. | Dragomir R. Radev, Simone Teufel, Horacio Saggion, Wai Lam, John Blitzer, Hong Qi, Arda elebi, Danyu Liu, Elliott Drbek |
| 2003 | IKE | Supporting Story Link Detection Using Automatic Topic Type Categorization. | Ruizhang Huang, Wai Lam |
| 2003 | IKE | Discovering Bilingual Name Association and Translation From Online News of Different Sources. | Yin-Yee Law, Ruizhang Huang, Wai Lam |
| 2003 | IDEAL | Exploiting Heterogeneous Features for Classification Learning. | Yiqiu Han, Wai Lam |
| 2003 | IDEAL | Beyond Supervised Learning of Wrappers for Extracting Information from Unseen Web Sites. | Tak-Lam Wong, Wai Lam, Wei Wang |
| 2003 | ISI | Using Support Vector Machines for Terrorism Information Extraction. | Aixin Sun, Myo-Myo Naing, Ee-Peng Lim, Wai Lam |
| 2003 | PAKDD | Exploiting Hierarchical Domain Values for Bayesian Learning. | Yiqiu Han, Wai Lam |
| 2002 | COLING | Meta-evaluation of Summaries in a Cross-lingual Environment using Content-based Metrics. | Horacio Saggion, Dragomir R. Radev, Simone Teufel, Wai Lam |
| 2002 | ICDM | Adapting Information Extraction Knowledge For Unseen Web Sites. | Tak-Lam Wong, Wai Lam |
| 2002 | LREC | Developing Infrastructure for the Evaluation of Single and Multi-document Summarization Systems in a Cross-lingual Environment. | Horacio Saggion, Dragomir R. Radev, Simone Teufel, Wai Lam, Stephanie M. Strassel |
| 2002 | PAKDD | Extracting Causation Knowledge from Natural Language Texts. | Ki Chan, Boon Toh Low, Wai Lam, Kai-Pui Lam |
| 2002 | PAKDD | News Sensitive Stock Trend Prediction. | Gabriel Pui Cheong Fung, Jeffrey Xu Yu, Wai Lam |
| 2001 | PAKDD | Meta-learning Models for Automatic Textual Document Categorization. | Kwok-Yin Lai, Wai Lam |
| 2001 | SIGIR | A Meta-Learning Approach for Text Categorization. | Wai Lam, Kwok-Yin Lai |
| 2001 | SDM | Automatic Textual Document Categorization Using Multiple Similarity-Based Models. | Kwok-Yin Lai, Wai Lam |
| 2000 | CIKM | Learning to Extract Hierarchical Information from Semi-structured Documents. | Wai Lam, Wai-Yip Lin |
| 2000 | PAKDD | Prototype Generation Based on Instance Filtering and Averaging. | Chi-Kin Keung, Wai Lam |
| 1999 | Interspeech | To believe is to understand. | Helen M. Meng, Wai Lam, Carmen Wai |
| 1999 | SIGIR | An Intelligent Adaptive Filtering Agent Based on an On-Line Learning Model (poster abstract). | Wai Lam, Kwok Leung Yu |
| 1998 | CIKM | A New On-Line Learning Algorithm for Adaptive Text Filtering. | Kwok Leung Yu, Wai Lam |
| 1998 | ECAI | Constructing Text Filters Based on Bayesian Network Learning. | Wai Lam, Kon Fan Low |
| 1998 | SMC | Discovering nonlinear-integral networks from databases using evolutionary computation and minimum description length principle. | Kwong-Sak Leung, Man Leung Wong, Wai Lam, Zhenyuan Wang |
| 1998 | SIGIR | Using a Generalized Instance Set for Automatic Text Categorization. | Wai Lam, Chao Yang Ho |
| 1997 | ICDCS | Distributed Data Mining of Probabilistic Knowledge. | Wai Lam, Alberto Maria Segre |
| 1997 | IJCAI | Using a Bayesian Network Induction Approach for Text Categorization. | Wai Lam, Kon Fan Low, Chao Yang Ho |
| 1996 | AI | A Two-Level Approach to Learning in Nonstationary Environments. | Wai Lam, Snehasis Mukhopadhyay |
| 1996 | SIGIR | Detection of Shifts in User Interests for Personalized Information Filtering. | Wai Lam, Snehasis Mukhopadhyay, Javed Mostafa, Mathew J. Palakal |
| 1994 | AAAI | Abstraction in Bayesian Belief Networks and Automatic Discovery from Past Inference Sessions. | Wai Lam |
| 1994 | UAI | Using New Data to Refine a Bayesian Network. | Wai Lam, Fahiem Bacchus |
| 1993 | UAI | Using Causal Information and Local Measures to Learn Bayesian Networks. | Wai Lam, Fahiem Bacchus |