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ORCIDLingzhi Wang
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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Journal Articles
- 2024
[j22]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)- [j21]Yingpin Chen, Huanyu Wu, Zhaojun Deng, Jun Zhang, Hui Wang, Lingzhi Wang, Wentong Huang:
Deep-feature-based asymmetrical background-aware correlation filter for object tracking. Digit. Signal Process. 148: 104446 (2024) - [j20]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) - 2023
- [j19]Mingzhen Li, Ruijun Yuan, Jie Chen, Libin Hu, Chenying Li, Lingzhi Wang, Aowei Guo, Anli Chen, Xinsong Zhang:
Feasibility Study on Online Diagnosis of Aging and Deterioration of Medium Voltage (MV) Three-Core Cable Based on Impedance Spectroscopy. IEEE Access 11: 36082-36096 (2023) - [j18]Lingzhi Wang, Hongmei Chen, Bo Peng, Tianrui Li, Tengyu Yin:
Robust multi-label feature selection with shared coupled and dynamic graph regularization. Appl. Intell. 53(13): 16973-16997 (2023) - [j17]Lingzhi Wang, Kun Zhang, Fucai Qian, Xiaoli Zhang:
Research on PDF Shape Control for Nonlinear Stochastic System Using an Approximate Solution of FPK Equation. Axioms 12(3): 303 (2023) - [j16]Xiaochun Nie, Ting Tan, Zhimiao Yan, Zhitao Yan, Lingzhi Wang:
Revised method of multiple scales for 1:2 internal resonance piezoelectric vibration energy harvester considering the coupled frequency. Commun. Nonlinear Sci. Numer. Simul. 118: 107018 (2023) - [j15]Jun Zhang, Zhaoyang Li, Lingzhi Wang, Yingpin Chen:
Salt-and-pepper denoising method for colour images based on tensor low-rank prior and implicit regularization. IET Image Process. 17(3): 886-900 (2023) - [j14]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) - 2022
- [j13]Lingzhi Wang, Guo Xie, Fucai Qian, Jun Liu, Kun Zhang:
A Novel PDF Shape Control Approach for Nonlinear Stochastic Systems. IEEE CAA J. Autom. Sinica 9(8): 1490-1498 (2022) - [j12]Yingpin Chen, Yuming Huang, Lingzhi Wang, Huiying Huang, Jianhua Song, Chaoqun Yu, Yanping Xu:
Salt and pepper noise removal method based on stationary Framelet transform with non-convex sparsity regularization. IET Image Process. 16(7): 1846-1865 (2022) - [j11]Li Wu, Fucai Qian, Lingzhi Wang, Xuehui Ma:
An improved type-reduction algorithm for general type-2 fuzzy sets. Inf. Sci. 593: 99-120 (2022) - [j10]Lingzhi Wang, Guo Xie, Fucai Qian, Yongze Jin, Ke Gao:
A Novel Model for Analyzing the Statistical Properties of Targets' RCS. IEEE Signal Process. Lett. 29: 583-586 (2022) - [j9]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) - 2021
- [j8]Lingzhi Wang, Guo Xie, Fucai Qian:
Developing an innovative bimodal model to characterize the dynamic radar cross section of aircrafts. Digit. Signal Process. 116: 103105 (2021) - [j7]Xu Shao, Yanlin Yang, Lingzhi Wang:
Digital Divide or Digital Welfare?: The Role of the Internet in Shaping the Sustainable Employability of Chinese Adults. J. Glob. Inf. Manag. 29(5): 20-36 (2021) - [j6]Jianghua Yin, Jinbao Jian, Xianzhen Jiang, Meixing Liu, Lingzhi Wang:
A hybrid three-term conjugate gradient projection method for constrained nonlinear monotone equations with applications. Numer. Algorithms 88(1): 389-418 (2021) - 2020
- [j5]Wenjun Zhou, Tianran Zhang, Lingzhi Wang:
Breakdown Characteristics of C4F7N/CO2 Mixtures Under Steep-Wavefront Impulse Voltages. IEEE Access 8: 29291-29298 (2020) - 2019
- [j4]Fan Lin, Yingpin Chen, Lingzhi Wang, Yuqun Chen, Wei Zhu, Fei Yu:
An Efficient Image Reconstruction Framework Using Total Variation Regularization with Lp-Quasinorm and Group Gradient Sparsity. Inf. 10(3): 115 (2019) - 2016
- [j3]Lingzhi Wang, Fucai Qian:
Shaping the PDF of the state variable based on piecewise linear control for non-linear stochastic systems. Sci. China Inf. Sci. 59(11): 112207 (2016) - 2015
- [j2]Lingzhi Wang, Fucai Qian, Jun Liu:
The PDF shape control of the state variable for a class of stochastic systems. Int. J. Syst. Sci. 46(12): 2231-2239 (2015) - 2014
- [j1]Lingzhi Wang, Yonghai Wang, Yuming Qin:
Upper semicontinuity of attractors for nonclassical diffusion equations in H1(R3). Appl. Math. Comput. 240: 51-61 (2014)
Conference and Workshop Papers
- 2024
- [c25]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 - [c24]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 - [c23]Xiangmin Shen, Zhenyuan Li, Graham Burleigh, Lingzhi Wang, Yan Chen:
Decoding the MITRE Engenuity ATT&CK Enterprise Evaluation: An Analysis of EDR Performance in Real-World Environments. AsiaCCS 2024 - [c22]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 - [c21]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 - [c20]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 - [c19]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 - 2023
- [c18]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 - [c17]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 - [c16]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 - 2022
- [c15]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 - [c14]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 - [c13]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 - 2021
- [c12]Lingzhi Wang, Xingshan Zeng, Kam-Fai Wong:
Quotation Recommendation and Interpretation Based on Transformation from Queries to Quotations. ACL/IJCNLP (2) 2021: 754-758 - [c11]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 - 2020
- [c10]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 - [c9]Lingzhi Wang, Nengwen Zhao, Junjie Chen, Pinnong Li, Wenchi Zhang, Kaixin Sui:
Root-Cause Metric Location for Microservice Systems via Log Anomaly Detection. ICWS 2020: 142-150 - 2019
- [c8]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 - 2018
- [c7]Cunqing Hua, Lingzhi Wang, Pengwenlong Gu:
Online Offloading in Dense Wireless Networks: An Adversary Multi-armed Bandit Approach. WCSP 2018: 1-6 - 2015
- [c6]Lingzhi Wang, Cunqing Hua, Rong Zheng, Rui Ni:
Online channel selection and user association in high-density WiFi networks. ICC 2015: 1571-1576 - 2012
- [c5]Lingzhi Wang:
Semi-parametric Smoothing Regression Model Based on GA for Financial Time Series Forecasting. ACIIDS (3) 2012: 55-64 - [c4]Lingzhi Wang, Jiansheng Wu:
Application of Hybrid RBF Neural Network Ensemble Model Based on Wavelet Support Vector Machine Regression in Rainfall Time Series Forecasting. CSO 2012: 867-871 - [c3]Ying Liu, Xiantao Chen, Lingzhi Wang, Hequan Zhang, Shen Li:
PinyinPie: a pie menu augmented soft keyboard for chinese pinyin input methods. Mobile HCI 2012: 271-280 - 2011
- [c2]Lingzhi Wang, Jiansheng Wu:
Neural Network Ensemble Model Using PPR and LS-SVR for Stock Market Forecasting. ICIC (1) 2011: 1-8 - 2010
- [c1]Shian Zhao, Lingzhi Wang:
The Model of Rainfall Forecasting by Support Vector Regression Based on Particle Swarm Optimization Algorithms. LSMS/ICSEE (2) 2010: 110-119
Informal and Other Publications
- 2024
- [i24]Xiangmin Shen, Zhenyuan Li, Graham Burleigh, Lingzhi Wang, Yan Chen:
Decoding the MITRE Engenuity ATT&CK Enterprise Evaluation: An Analysis of EDR Performance in Real-World Environments. CoRR abs/2401.15878 (2024) - [i23]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) - [i22]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) - [i21]Zhenyuan Li, Yangyang Wei, Xiangmin Shen, Lingzhi Wang, Yan Chen, Haitao Xu, Shouling Ji, Fan Zhang:
TAGS: Real-time Intrusion Detection with Tag-Propagation-based Provenance Graph Alignment on Streaming Events. CoRR abs/2403.12541 (2024) - [i20]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) - [i19]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) - [i18]Lingzhi Wang, Xiangmin Shen, Weijian Li, Zhenyuan Li, R. Sekar, Han Liu, Yan Chen:
Incorporating Gradients to Rules: Towards Lightweight, Adaptive Provenance-based Intrusion Detection. CoRR abs/2404.14720 (2024) - [i17]Lingzhi Wang, Jiahui Wang, Kyle Jung, Kedar Thiagarajan, Emily Wei, Xiangmin Shen, Yan Chen, Zhenyuan Li:
From Sands to Mansions: Enabling Automatic Full-Life-Cycle Cyberattack Construction with LLM. CoRR abs/2407.16928 (2024) - [i16]Jian Wang, Lingzhi Wang, Husheng Yu, Xiangmin Shen, Yan Chen:
PARIS: A Practical, Adaptive Trace-Fetching and Real-Time Malicious Behavior Detection System. CoRR abs/2411.01273 (2024) - 2023
- [i15]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) - [i14]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) - [i13]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) - [i12]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) - [i11]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) - [i10]Haotian Li, Lingzhi Wang, Yuliang Wei, Richard Yi Da Xu, Bailing Wang:
KERMIT: Knowledge Graph Completion of Enhanced Relation Modeling with Inverse Transformation. CoRR abs/2309.14770 (2023) - [i9]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) - [i8]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
- [i7]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
- [i6]Lingzhi Wang, Xingshan Zeng, Kam-Fai Wong:
Quotation Recommendation and Interpretation Based on Transformation from Queries to Quotations. CoRR abs/2105.14189 (2021) - [i5]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) - [i4]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) - [i3]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) - [i2]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) - [i1]Yingpin Chen, Yuming Huang, Lingzhi Wang, Huiying Huang, Jianhua Song, Chaoqun Yu, Yanping Xu:
Salt and pepper noise removal method based on stationary Framelet transform with non-convex sparsity regularization. CoRR abs/2110.09113 (2021)
Coauthor Index
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