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ORCIDLingzhi Wang 0001
Person information
- affiliation: Harbin Institute of Technology Shenzhen (HITSZ), Department of Computer Science and Technology, Shenzhen, China
- affiliation (PhD): Chinese University of Hong Kong (CUHK), Shatin, Hong Kong
Other persons with the same name
- Lingzhi Wang (aka: Ling-Zhi Wang) — disambiguation page
- Lingzhi Wang 0002
![[0009-0006-3901-2131]](https://dblp.org/img/orcid-mark.12x12.png "0009-0006-3901-2131")
— Northwestern University, Evanston, IL, USA
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2020 – today
- 2025
[j5]Xu Yang, Jiyuan Feng, Yongxin Tong, Lingzhi Wang, Songyue Guo, Binxing Fang, Qing Liao:
DA-PFL: Dynamic Affinity Aggregation in Personalized Federated Learning Under Class Imbalance. IEEE Trans. Neural Networks Learn. Syst. 36(12): 20184-20198 (2025)- [c24]Lingzhi Wang, Xingshan Zeng, Jinsong Guo, Kam-Fai Wong, Georg Gottlob:
Selective Forgetting: Advancing Machine Unlearning Techniques and Evaluation in Language Models. AAAI 2025: 843-851 - [c23]Dongyi Zheng, Hongyu Zhang, Jianyang Zhai, Lin Zhong, Lingzhi Wang, Jiyuan Feng, Xiangke Liao, Yonghong Tian, Nong Xiao, Qing Liao:
FedCSR: A Federated Framework for Multi-Platform Cross-Domain Sequential Recommendation with Dual Contrastive Learning. COLING 2025: 8699-8713 - [c22]Luyang Lin, Lingzhi Wang, Jinsong Guo, Kam-Fai Wong:
Investigating Bias in LLM-Based Bias Detection: Disparities between LLMs and Human Perception. COLING 2025: 10634-10649 - [c21]Zeyu Liu, Heyan Chai, Chaoyang Li, Lingzhi Wang, Qing Liao:
Adaptive Data and Task Joint Scheduling for Multi-Task Learning. ICDE 2025: 2038-2051 - [c20]Lingzhi Wang, Xingshan Zeng, Kam-Fai Wong:
Do Mentioned Items Truly Matter? Enhancing Conversational Recommender Systems with Causal Intervention and Large Language Models. IJCAI 2025: 4218-4226 - [c19]Liwen Liang, Jiyuan Feng, Lingzhi Wang, Qing Liao:
FedSS: A Federated Semantic Segmentation Framework with Domain-Agnostic Feature Extraction and Fair Aggregation. IJCNN 2025: 1-10 - [c18]Pengyu Zhao, Chaoyang Li, Lingzhi Wang, Qing Liao:
Cross-Modal Causal Scheduling for Enhancing Target-Oriented Multi-modal Sentiment Classification. ECML/PKDD (4) 2025: 542-558 - [c17]Lin Zhong, Lingzhi Wang, Xu Yang, Qing Liao:
CoMaPOI: A Collaborative Multi-Agent Framework for Next POI Prediction Bridging the Gap Between Trajectory and Language. SIGIR 2025: 1768-1778 - [i21]Xingshan Zeng, Weiwen Liu, Xu Huang, Zezhong Wang, Lingzhi Wang, Liangyou Li, Yasheng Wang, Lifeng Shang, Xin Jiang, Ruiming Tang, Qun Liu:
ToolACE-R: Tool Learning with Adaptive Self-Refinement. CoRR abs/2504.01400 (2025) - [i20]Lin Zhong, Lingzhi Wang, Xu Yang, Qing Liao:
CoMaPOI: A Collaborative Multi-Agent Framework for Next POI Prediction Bridging the Gap Between Trajectory and Language. CoRR abs/2505.23837 (2025) - [i19]Xingshan Zeng, Weiwen Liu, Lingzhi Wang, Liangyou Li, Fei Mi, Yasheng Wang, Lifeng Shang, Xin Jiang, Qun Liu:
ToolACE-MT: Non-Autoregressive Generation for Agentic Multi-Turn Interaction. CoRR abs/2508.12685 (2025) - [i18]Luyang Lin, Zijin Feng, Lingzhi Wang, Kam-Fai Wong:
Counterspeech for Mitigating the Influence of Media Bias: Comparing Human and LLM-Generated Responses. CoRR abs/2508.15855 (2025) - 2024
- [j4]Xiaoyan Zhao, Yang Deng, Min Yang, Lingzhi Wang, Rui Zhang, Hong Cheng, Wai Lam, Ying Shen, Ruifeng Xu:
A Comprehensive Survey on Relation Extraction: Recent Advances and New Frontiers. ACM Comput. Surv. 56(11): 293:1-293:39 (2024) - [j3]Lingzhi Wang, Shafiq Joty, Wei Gao, Xingshan Zeng, Kam-Fai Wong:
Improving Conversational Recommender System Via Contextual and Time-Aware Modeling With Less Domain-Specific Knowledge. IEEE Trans. Knowl. Data Eng. 36(11): 6447-6461 (2024) - [c16]Baohang Zhou, Zezhong Wang, Lingzhi Wang, Hongru Wang, Ying Zhang, Kehui Song, Xuhui Sui, Kam-Fai Wong:
DPDLLM: A Black-box Framework for Detecting Pre-training Data from Large Language Models. ACL (Findings) 2024: 644-653 - [c15]Tingting Liang, Chenxin Jin, Lingzhi Wang, Wenqi Fan, Congying Xia, Kai Chen, Yuyu Yin:
LLM-REDIAL: A Large-Scale Dataset for Conversational Recommender Systems Created from User Behaviors with LLMs. ACL (Findings) 2024: 8926-8939 - [c14]Xiaoyan Zhao, Lingzhi Wang, Zhanghao Wang, Hong Cheng, Rui Zhang, Kam-Fai Wong:
PACAR: Automated Fact-Checking with Planning and Customized Action Reasoning Using Large Language Models. LREC/COLING 2024: 12564-12573 - [c13]Luyang Lin, Lingzhi Wang, Xiaoyan Zhao, Jing Li, Kam-Fai Wong:
IndiVec: An Exploration of Leveraging Large Language Models for Media Bias Detection with Fine-Grained Bias Indicators. EACL (Findings) 2024: 1038-1050 - [c12]Zijin Feng, Luyang Lin, Lingzhi Wang, Hong Cheng, Kam-Fai Wong:
LLMEdgeRefine: Enhancing Text Clustering with LLM-Based Boundary Point Refinement. EMNLP 2024: 18455-18462 - [c11]Hongru Wang, Huimin Wang, Lingzhi Wang, Minda Hu, Rui Wang, Boyang Xue, Yongfeng Huang, Kam-Fai Wong:
TPE: Towards Better Compositional Reasoning over Cognitive Tools via Multi-persona Collaboration. NLPCC (2) 2024: 281-294 - [i17]Luyang Lin, Lingzhi Wang, Xiaoyan Zhao, Jing Li, Kam-Fai Wong:
IndiVec: An Exploration of Leveraging Large Language Models for Media Bias Detection with Fine-Grained Bias Indicators. CoRR abs/2402.00345 (2024) - [i16]Lingzhi Wang, Xingshan Zeng, Jinsong Guo, Kam-Fai Wong, Georg Gottlob:
Selective Forgetting: Advancing Machine Unlearning Techniques and Evaluation in Language Models. CoRR abs/2402.05813 (2024) - [i15]Luyang Lin, Lingzhi Wang, Jinsong Guo, Jing Li, Kam-Fai Wong:
IndiTag: An Online Media Bias Analysis and Annotation System Using Fine-Grained Bias Indicators. CoRR abs/2403.13446 (2024) - [i14]Luyang Lin, Lingzhi Wang, Jinsong Guo, Kam-Fai Wong:
Investigating Bias in LLM-Based Bias Detection: Disparities between LLMs and Human Perception. CoRR abs/2403.14896 (2024) - 2023
- [j2]Lingzhi Wang, Xingshan Zeng, Kam-Fai Wong:
Quotation Recommendation for Multi-party Online Conversations Based on Semantic and Topic Fusion. ACM Trans. Inf. Syst. 41(4): 94:1-94:27 (2023) - [c10]Lingzhi Wang, Tong Chen, Wei Yuan, Xingshan Zeng, Kam-Fai Wong, Hongzhi Yin:
KGA: A General Machine Unlearning Framework Based on Knowledge Gap Alignment. ACL (1) 2023: 13264-13276 - [c9]Lingzhi Wang, Mrinmaya Sachan, Xingshan Zeng, Kam-Fai Wong:
Strategize Before Teaching: A Conversational Tutoring System with Pedagogy Self-Distillation. EACL (Findings) 2023: 2223-2229 - [c8]Jakub Macina, Nico Daheim, Lingzhi Wang, Tanmay Sinha, Manu Kapur, Iryna Gurevych, Mrinmaya Sachan:
Opportunities and Challenges in Neural Dialog Tutoring. EACL 2023: 2349-2364 - [i13]Jakub Macina, Nico Daheim, Lingzhi Wang, Tanmay Sinha, Manu Kapur, Iryna Gurevych, Mrinmaya Sachan:
Opportunities and Challenges in Neural Dialog Tutoring. CoRR abs/2301.09919 (2023) - [i12]Lingzhi Wang, Mrinmaya Sachan, Xingshan Zeng, Kam-Fai Wong:
Strategize Before Teaching: A Conversational Tutoring System with Pedagogy Self-Distillation. CoRR abs/2302.13496 (2023) - [i11]Lingzhi Wang, Tong Chen, Wei Yuan, Xingshan Zeng, Kam-Fai Wong, Hongzhi Yin:
KGA: A General Machine Unlearning Framework Based on Knowledge Gap Alignment. CoRR abs/2305.06535 (2023) - [i10]Xiaoyan Zhao, Yang Deng, Min Yang, Lingzhi Wang, Rui Zhang, Hong Cheng, Wai Lam, Ying Shen, Ruifeng Xu:
A Comprehensive Survey on Deep Learning for Relation Extraction: Recent Advances and New Frontiers. CoRR abs/2306.02051 (2023) - [i9]Bojia Zi, Xianbiao Qi, Lingzhi Wang, Jianan Wang, Kam-Fai Wong, Lei Zhang:
Delta-LoRA: Fine-Tuning High-Rank Parameters with the Delta of Low-Rank Matrices. CoRR abs/2309.02411 (2023) - [i8]Hongru Wang, Huimin Wang, Lingzhi Wang, Minda Hu, Rui Wang, Boyang Xue, Hongyuan Lu, Fei Mi, Kam-Fai Wong:
TPE: Towards Better Compositional Reasoning over Conceptual Tools with Multi-persona Collaboration. CoRR abs/2309.16090 (2023) - [i7]Hongru Wang, Lingzhi Wang, Yiming Du, Liang Chen, Jingyan Zhou, Yufei Wang, Kam-Fai Wong:
A Survey of the Evolution of Language Model-Based Dialogue Systems. CoRR abs/2311.16789 (2023) - 2022
- [j1]Xingshan Zeng, Jing Li, Lingzhi Wang, Kam-Fai Wong:
Modeling Global and Local Interactions for Online Conversation Recommendation. ACM Trans. Inf. Syst. 40(3): 49:1-49:33 (2022) - [c7]Lingzhi Wang, Xingshan Zeng, Kam-Fai Wong:
Learning When and What to Quote: A Quotation Recommender System with Mutual Promotion of Recommendation and Generation. EMNLP (Findings) 2022: 3094-3105 - [c6]Lingzhi Wang, Huang Hu, Lei Sha, Can Xu, Daxin Jiang, Kam-Fai Wong:
RecInDial: A Unified Framework for Conversational Recommendation with Pretrained Language Models. AACL/IJCNLP (1) 2022: 489-500 - [c5]Lingzhi Wang, Jing Li, Xingshan Zeng, Kam-Fai Wong:
Successful New-entry Prediction for Multi-Party Online Conversations via Latent Topics and Discourse Modeling. WWW 2022: 1663-1672 - [i6]Lingzhi Wang, Shafiq R. Joty, Wei Gao, Xingshan Zeng, Kam-Fai Wong:
Improving Conversational Recommender System via Contextual and Time-Aware Modeling with Less Domain-Specific Knowledge. CoRR abs/2209.11386 (2022) - 2021
- [c4]Lingzhi Wang, Xingshan Zeng, Kam-Fai Wong:
Quotation Recommendation and Interpretation Based on Transformation from Queries to Quotations. ACL/IJCNLP (2) 2021: 754-758 - [c3]Lingzhi Wang, Xingshan Zeng, Huang Hu, Kam-Fai Wong, Daxin Jiang:
Re-entry Prediction for Online Conversations via Self-Supervised Learning. EMNLP (Findings) 2021: 2127-2137 - [i5]Lingzhi Wang, Xingshan Zeng, Kam-Fai Wong:
Quotation Recommendation and Interpretation Based on Transformation from Queries to Quotations. CoRR abs/2105.14189 (2021) - [i4]Lingzhi Wang, Jing Li, Xingshan Zeng, Haisong Zhang, Kam-Fai Wong:
Continuity of Topic, Interaction, and Query: Learning to Quote in Online Conversations. CoRR abs/2106.09896 (2021) - [i3]Lingzhi Wang, Jing Li, Xingshan Zeng, Kam-Fai Wong:
Successful New-entry Prediction for Multi-Party Online Conversations via Latent Topics and Discourse Modeling. CoRR abs/2108.06975 (2021) - [i2]Lingzhi Wang, Xingshan Zeng, Huang Hu, Kam-Fai Wong, Daxin Jiang:
Re-entry Prediction for Online Conversations via Self-Supervised Learning. CoRR abs/2109.02020 (2021) - [i1]Lingzhi Wang, Huang Hu, Lei Sha, Can Xu, Kam-Fai Wong, Daxin Jiang:
Finetuning Large-Scale Pre-trained Language Models for Conversational Recommendation with Knowledge Graph. CoRR abs/2110.07477 (2021) - 2020
- [c2]Lingzhi Wang, Jing Li, Xingshan Zeng, Haisong Zhang, Kam-Fai Wong:
Continuity of Topic, Interaction, and Query: Learning to Quote in Online Conversations. EMNLP (1) 2020: 6640-6650
2010 – 2019
- 2019
- [c1]Ming Liao, Jing Li, Haisong Zhang, Lingzhi Wang, Xixin Wu, Kam-Fai Wong:
Coupling Global and Local Context for Unsupervised Aspect Extraction. EMNLP/IJCNLP (1) 2019: 4578-4588
Coauthor Index
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