Skip to content
cs-conference-ranking.org

Lingzhi Wang

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

33

Venues

18

Active years

2012–2026

Best venue rank

A*

Where they publish

Papers

33 indexed papers, newest first.

YearVenueTitleAuthors
2026AAAIToolACE-R: Model-aware Iterative Training and Adaptive Refinement for Tool learning.Xingshan Zeng, Weiwen Liu, Xu Huang, Zezhong Wang, Lingzhi Wang, Liangyou Li, Yasheng Wang, Lifeng Shang, Xin Jiang, Ruiming Tang, Qun Liu
2026ACLCognitive Policy-Driven LLM for Diagnosis and Intervention of Cognitive Distortions in Emotional Support Conversation.Lin Zhong, Renjin Zhu, Shujuan Ma, Jinhao Cui, Lingzhi Wang, Hao Chen, Qing Liao
2026ACLModeling Multi-Dimensional Cognitive States in Large Language Models under Cognitive Crowding.Lin Zhong, Siyu Zhu, Zizhen Yuan, Jinhao Cui, Xinyang Zhao, Lingzhi Wang, Hao Chen, Qing Liao
2026ACNSFrom Sands to Mansions: Actionable, Customizable and Causality-Preserving Cyberattack Emulation with LLM-Powered Symbolic Planning.Lingzhi Wang, Zhenyuan Li, Yi Jiang, Zhengkai Wang, Xiangmin Shen, Wei Ruan, Yan Chen
2026KDDImproving Heterogeneous Graph Contrastive Learning Robustness via Hierarchical Vulnerability Protection.Jinhao Cui, Chaoyang Li, Jianyang Qin, Lingzhi Wang, Cuiyun Gao, Qing Liao
2025AAAISelective Forgetting: Advancing Machine Unlearning Techniques and Evaluation in Language Models.Lingzhi Wang, Xingshan Zeng, Jinsong Guo, Kam-Fai Wong, Georg Gottlob
2025AsiaCCSPentestAgent: Incorporating LLM Agents to Automated Penetration Testing.Xiangmin Shen, Lingzhi Wang, Zhenyuan Li, Yan Chen, Wencheng Zhao, Dawei Sun, Jiashui Wang, Wei Ruan
2025COLINGInvestigating Bias in LLM-Based Bias Detection: Disparities between LLMs and Human Perception.Luyang Lin, Lingzhi Wang, Jinsong Guo, Kam-Fai Wong
2025COLINGFedCSR: A Federated Framework for Multi-Platform Cross-Domain Sequential Recommendation with Dual Contrastive Learning.Dongyi Zheng, Hongyu Zhang, Jianyang Zhai, Lin Zhong, Lingzhi Wang, Jiyuan Feng, Xiangke Liao, Yonghong Tian, Nong Xiao, Qing Liao
2025ICDEAdaptive Data and Task Joint Scheduling for Multi-Task Learning.Zeyu Liu, Heyan Chai, Chaoyang Li, Lingzhi Wang, Qing Liao
2025ICPADSIndiTag: An Online Media Bias Analysis System Using Fine-Grained Bias Indicators.Luyang Lin, Lingzhi Wang, Jinsong Guo, Jing Li, Kam-Fai Wong
2025IJCAIDo Mentioned Items Truly Matter? Enhancing Conversational Recommender Systems with Causal Intervention and Large Language Models.Lingzhi Wang, Xingshan Zeng, Kam-Fai Wong
2025IJCNNFedSS: A Federated Semantic Segmentation Framework with Domain-Agnostic Feature Extraction and Fair Aggregation.Liwen Liang, Jiyuan Feng, Lingzhi Wang, Qing Liao
2025NDSSIncorporating Gradients to Rules: Towards Lightweight, Adaptive Provenance-based Intrusion Detection.Lingzhi Wang, Xiangmin Shen, Weijian Li, Zhenyuan Li, R. Sekar, Han Liu, Yan Chen
2025SIGIRCoMaPOI: A Collaborative Multi-Agent Framework for Next POI Prediction Bridging the Gap Between Trajectory and Language.Lin Zhong, Lingzhi Wang, Xu Yang, Qing Liao
2024ACLLLM-REDIAL: A Large-Scale Dataset for Conversational Recommender Systems Created from User Behaviors with LLMs.Tingting Liang, Chenxin Jin, Lingzhi Wang, Wenqi Fan, Congying Xia, Kai Chen, Yuyu Yin
2024ACLDPDLLM: A Black-box Framework for Detecting Pre-training Data from Large Language Models.Baohang Zhou, Zezhong Wang, Lingzhi Wang, Hongru Wang, Ying Zhang, Kehui Song, Xuhui Sui, Kam-Fai Wong
2024AsiaCCSDecoding the MITRE Engenuity ATT&CK Enterprise Evaluation: An Analysis of EDR Performance in Real-World Environments.Xiangmin Shen, Zhenyuan Li, Graham Burleigh, Lingzhi Wang, Yan Chen
2024COLINGPACAR: Automated Fact-Checking with Planning and Customized Action Reasoning Using Large Language Models.Xiaoyan Zhao, Lingzhi Wang, Zhanghao Wang, Hong Cheng, Rui Zhang, Kam-Fai Wong
2024EACLIndiVec: An Exploration of Leveraging Large Language Models for Media Bias Detection with Fine-Grained Bias Indicators.Luyang Lin, Lingzhi Wang, Xiaoyan Zhao, Jing Li, Kam-Fai Wong
2024EMNLPLLMEdgeRefine: Enhancing Text Clustering with LLM-Based Boundary Point Refinement.Zijin Feng, Luyang Lin, Lingzhi Wang, Hong Cheng, Kam-Fai Wong
2023ACLKGA: A General Machine Unlearning Framework Based on Knowledge Gap Alignment.Lingzhi Wang, Tong Chen, Wei Yuan, Xingshan Zeng, Kam-Fai Wong, Hongzhi Yin
2023EACLOpportunities and Challenges in Neural Dialog Tutoring.Jakub Macina, Nico Daheim, Lingzhi Wang, Tanmay Sinha, Manu Kapur, Iryna Gurevych, Mrinmaya Sachan
2023EACLStrategize Before Teaching: A Conversational Tutoring System with Pedagogy Self-Distillation.Lingzhi Wang, Mrinmaya Sachan, Xingshan Zeng, Kam-Fai Wong
2022EMNLPLearning When and What to Quote: A Quotation Recommender System with Mutual Promotion of Recommendation and Generation.Lingzhi Wang, Xingshan Zeng, Kam-Fai Wong
2022IJCNLPRecInDial: A Unified Framework for Conversational Recommendation with Pretrained Language Models.Lingzhi Wang, Huang Hu, Lei Sha, Can Xu, Daxin Jiang, Kam-Fai Wong
2022WWWSuccessful New-entry Prediction for Multi-Party Online Conversations via Latent Topics and Discourse Modeling.Lingzhi Wang, Jing Li, Xingshan Zeng, Kam-Fai Wong
2021ACLQuotation Recommendation and Interpretation Based on Transformation from Queries to Quotations.Lingzhi Wang, Xingshan Zeng, Kam-Fai Wong
2021EMNLPRe-entry Prediction for Online Conversations via Self-Supervised Learning.Lingzhi Wang, Xingshan Zeng, Huang Hu, Kam-Fai Wong, Daxin Jiang
2020EMNLPContinuity of Topic, Interaction, and Query: Learning to Quote in Online Conversations.Lingzhi Wang, Jing Li, Xingshan Zeng, Haisong Zhang, Kam-Fai Wong
2020ICWSRoot-Cause Metric Location for Microservice Systems via Log Anomaly Detection.Lingzhi Wang, Nengwen Zhao, Junjie Chen, Pinnong Li, Wenchi Zhang, Kaixin Sui
2019EMNLPCoupling Global and Local Context for Unsupervised Aspect Extraction.Ming Liao, Jing Li, Haisong Zhang, Lingzhi Wang, Xixin Wu, Kam-Fai Wong
2012ACIIDSSemi-parametric Smoothing Regression Model Based on GA for Financial Time Series Forecasting.Lingzhi Wang