Coupling Global and Local Context for Unsupervised Aspect Extraction. - Ming Liao; Jing Li 049; Haisong Zhang; Lingzhi Wang 001; Xixin Wu; Kam-Fai Wong (EMNLP/IJCNLP (1), 2019)

Continuity of Topic, Interaction, and Query: Learning to Quote in Online Conversations. - Lingzhi Wang 001; Jing Li 049; Xingshan Zeng; Haisong Zhang; Kam-Fai Wong (EMNLP (1), 2020)

Quotation Recommendation and Interpretation Based on Transformation from Queries to Quotations. - Lingzhi Wang 001; Xingshan Zeng; Kam-Fai Wong (ACL/IJCNLP (2), 2021)

Re-entry Prediction for Online Conversations via Self-Supervised Learning. - Lingzhi Wang 001; Xingshan Zeng; Huang Hu; Kam-Fai Wong; Daxin Jiang (EMNLP (Findings), 2021)

Finetuning Large-Scale Pre-trained Language Models for Conversational Recommendation with Knowledge Graph. - Lingzhi Wang 001; Huang Hu; Lei Sha; Can Xu; Kam-Fai Wong; Daxin Jiang (CoRR, 2021)

Learning When and What to Quote: A Quotation Recommender System with Mutual Promotion of Recommendation and Generation. - Lingzhi Wang 001; Xingshan Zeng; Kam-Fai Wong (EMNLP (Findings), 2022)

RecInDial: A Unified Framework for Conversational Recommendation with Pretrained Language Models. - Lingzhi Wang 001; Huang Hu; Lei Sha; Can Xu; Daxin Jiang; Kam-Fai Wong (AACL/IJCNLP (1), 2022)

Successful New-entry Prediction for Multi-Party Online Conversations via Latent Topics and Discourse Modeling. - Lingzhi Wang 001; Jing Li 049; Xingshan Zeng; Kam-Fai Wong (WWW, 2022)

Modeling Global and Local Interactions for Online Conversation Recommendation. - Xingshan Zeng; Jing Li 049; Lingzhi Wang 001; Kam-Fai Wong (ACM Trans. Inf. Syst., 2022)

KGA: A General Machine Unlearning Framework Based on Knowledge Gap Alignment. - Lingzhi Wang 001; Tong Chen 005; Wei Yuan 003; Xingshan Zeng; Kam-Fai Wong; Hongzhi Yin (ACL (1), 2023)

Opportunities and Challenges in Neural Dialog Tutoring. - Jakub Macina; Nico Daheim; Lingzhi Wang 001; Tanmay Sinha; Manu Kapur; Iryna Gurevych; Mrinmaya Sachan (EACL, 2023)

Strategize Before Teaching: A Conversational Tutoring System with Pedagogy Self-Distillation. - Lingzhi Wang 001; Mrinmaya Sachan; Xingshan Zeng; Kam-Fai Wong (EACL (Findings), 2023)

A Comprehensive Survey on Deep Learning for Relation Extraction: Recent Advances and New Frontiers. - Xiaoyan Zhao 005; Yang Deng 002; Min Yang 007; Lingzhi Wang 001; Rui Zhang 003; Hong Cheng 001; Wai Lam; Ying Shen 001; Ruifeng Xu 001 (CoRR, 2023)

Delta-LoRA: Fine-Tuning High-Rank Parameters with the Delta of Low-Rank Matrices. - Bojia Zi; Xianbiao Qi; Lingzhi Wang 001; Jianan Wang; Kam-Fai Wong; Lei Zhang 001 (CoRR, 2023)

TPE: Towards Better Compositional Reasoning over Conceptual Tools with Multi-persona Collaboration. - Hongru Wang 003; Huimin Wang; Lingzhi Wang 001; Minda Hu; Rui Wang 092; Boyang Xue; Hongyuan Lu; Fei Mi; Kam-Fai Wong (CoRR, 2023)

A Survey of the Evolution of Language Model-Based Dialogue Systems. - Hongru Wang 003; Lingzhi Wang 001; Yiming Du; Liang Chen 001; Jingyan Zhou; Yufei Wang 005; Kam-Fai Wong (CoRR, 2023)

Quotation Recommendation for Multi-party Online Conversations Based on Semantic and Topic Fusion. - Lingzhi Wang 001; Xingshan Zeng; Kam-Fai Wong (ACM Trans. Inf. Syst., 2023)

LLM-REDIAL: A Large-Scale Dataset for Conversational Recommender Systems Created from User Behaviors with LLMs. - Tingting Liang; Chenxin Jin; Lingzhi Wang 001; Wenqi Fan; Congying Xia; Kai Chen; Yuyu Yin (ACL (Findings), 2024)

DPDLLM: A Black-box Framework for Detecting Pre-training Data from Large Language Models. - Baohang Zhou; Zezhong Wang 004; Lingzhi Wang 001; Hongru Wang 003; Ying Zhang 015; Kehui Song; Xuhui Sui; Kam-Fai Wong (ACL (Findings), 2024)

PACAR: Automated Fact-Checking with Planning and Customized Action Reasoning Using Large Language Models. - Xiaoyan Zhao 005; Lingzhi Wang 001; Zhanghao Wang; Hong Cheng 001; Rui Zhang 003; Kam-Fai Wong (LREC/COLING, 2024)

IndiVec: An Exploration of Leveraging Large Language Models for Media Bias Detection with Fine-Grained Bias Indicators. - Luyang Lin; Lingzhi Wang 001; Xiaoyan Zhao 005; Jing Li 049; Kam-Fai Wong (EACL (Findings), 2024)

LLMEdgeRefine: Enhancing Text Clustering with LLM-Based Boundary Point Refinement. - Zijin Feng; Luyang Lin; Lingzhi Wang 001; Hong Cheng 001; Kam-Fai Wong (EMNLP, 2024)

TPE: Towards Better Compositional Reasoning over Cognitive Tools via Multi-persona Collaboration. - Hongru Wang 003; Huimin Wang; Lingzhi Wang 001; Minda Hu; Rui Wang 092; Boyang Xue; Yongfeng Huang; Kam-Fai Wong (NLPCC (2), 2024)

IndiTag: An Online Media Bias Analysis and Annotation System Using Fine-Grained Bias Indicators. - Luyang Lin; Lingzhi Wang 001; Jinsong Guo; Jing Li 049; Kam-Fai Wong (CoRR, 2024)

A Comprehensive Survey on Relation Extraction: Recent Advances and New Frontiers. - Xiaoyan Zhao 005; Yang Deng 002; Min Yang 007; Lingzhi Wang 001; Rui Zhang 003; Hong Cheng 001; Wai Lam; Ying Shen 001; Ruifeng Xu 001 (ACM Comput. Surv., 2024)

Improving Conversational Recommender System Via Contextual and Time-Aware Modeling With Less Domain-Specific Knowledge. - Lingzhi Wang 001; Shafiq Joty; Wei Gao 001; Xingshan Zeng; Kam-Fai Wong (IEEE Trans. Knowl. Data Eng., 2024)

Selective Forgetting: Advancing Machine Unlearning Techniques and Evaluation in Language Models. - Lingzhi Wang 001; Xingshan Zeng; Jinsong Guo; Kam-Fai Wong; Georg Gottlob (AAAI, 2025)

Investigating Bias in LLM-Based Bias Detection: Disparities between LLMs and Human Perception. - Luyang Lin; Lingzhi Wang 001; Jinsong Guo; Kam-Fai Wong (COLING, 2025)

FedCSR: A Federated Framework for Multi-Platform Cross-Domain Sequential Recommendation with Dual Contrastive Learning. - Dongyi Zheng; Hongyu Zhang 002; Jianyang Zhai; Lin Zhong; Lingzhi Wang 001; Jiyuan Feng; Xiangke Liao; Yonghong Tian 001; Nong Xiao 001; Qing Liao 001 (COLING, 2025)

CoMaPOI: A Collaborative Multi-Agent Framework for Next POI Prediction Bridging the Gap Between Trajectory and Language. - Lin Zhong; Lingzhi Wang 001; Xu Yang; Qing Liao 001 (SIGIR, 2025)

ToolACE-R: Tool Learning with Adaptive Self-Refinement. - Xingshan Zeng; Weiwen Liu; Xu Huang 008; Zezhong Wang 004; Lingzhi Wang 001; Liangyou Li; Yasheng Wang; Lifeng Shang; Xin Jiang 002; Ruiming Tang; Qun Liu 001 (CoRR, 2025)