Properties of Intuitionistic Provability and Preservativity Logics. - Rosalie Iemhoff; Dick De Jongh; Chunlai Zhou (Log. J. IGPL, 2005)

Negation in the Context of Gaggle Theory. - J. Dunn; Chunlai Zhou (Stud Logica, 2005)

A Complete Deductive System for Probability Logic. - Chunlai Zhou (J. Log. Comput., 2009)

Probability Logic of Finitely Additive Beliefs. - Chunlai Zhou (J. Log. Lang. Inf., 2010)

Intuitive Probability Logic. - Chunlai Zhou (TAMC, 2011)

Approximating Markov processes through filtration. - Chunlai Zhou; Mingsheng Ying (Theor. Comput. Sci., 2012)

Modeling of Scheduling Algorithms of Downstream Channel Bonding in DOCSIS3.0 Based on GSPN. - Chengan Zhao; Chunlai Zhou (EMS, 2013)

Belief functions on distributive lattices. - Chunlai Zhou (Artif. Intell., 2013)

Approximating Bisimilarity for Markov Processes. - Chunlai Zhou (MFPS, 2013)

Scheme selection of artwork customization designing based on AHP. - Chunlai Zhou; Ziyan Lin (GrC, 2014)

Belief-Kinematics Jeffrey-s Rules in the Theory of Evidence. - Chunlai Zhou; Mingyue Wang; Biao Qin (UAI, 2014)

Probability Logic for Harsanyi Type Spaces. - Chunlai Zhou (Log. Methods Comput. Sci., 2014)

Extend Transferable Belief Models with Probabilistic Priors. - Chunlai Zhou; Yuan Feng 001 (UAI, 2015)

Plato's Cave in the Dempster-Shafer land-the Link between Pignistic and Plausibility Transformations. - Chunlai Zhou; Biao Qin; Xiaoyong Du 001 (IJCAI, 2017)

The Total Belief Theorem. - Chunlai Zhou; Fabio Cuzzolin (UAI, 2017)

Research on extracting risk control rules for Internet of Things business. - Ziyan Lin; Chunlai Zhou (CCWC, 2018)

Study on fraud detection of telecom industry based on rough set. - Chunlai Zhou; Ziyan Lin (CCWC, 2018)

A Savage-style Utility Theory for Belief Functions. - Chunlai Zhou; Biao Qin; Xiaoyong Du 001 (IJCAI, 2018)

Basic Utility Theory for Belief Functions. - Chunlai Zhou; Biao Qin; Deying Li 001; Zhiqiang Xu; Xiaoyong Du 001 (ECAI, 2020)

A unified linear convergence analysis of k-SVD. - Zhiqiang Xu 003; Yiping Ke; Xin Cao 001; Chunlai Zhou; Pengfei Wei 001; Xin Gao 001 (Memetic Comput., 2020)

Local Differential Privacy for Belief Functions. - Qiyu Li; Chunlai Zhou; Biao Qin; Zhiqiang Xu (AAAI, 2022)

The resilience of conjunctive queries with inequalities. - Biao Qin; Deying Li 001; Chunlai Zhou (Inf. Sci., 2022)

Two Views of Constrained Differential Privacy: Belief Revision and Update. - Likang Liu; Keke Sun; Chunlai Zhou; Yuan Feng 001 (AAAI, 2023)

Differentially Private Probabilistic Social Choice in the Shuffle Model. - Qingyuan Ding; Keke Sun; Lixin Jiang; Haibo Zhou; Chunlai Zhou (IUKM (1), 2023)

SR-R2KAC: Improving Single Image Defocus Deblurring. - Peng Tang; Zhiqiang Xu 003; Pengfei Wei 001; Xiaobin Hu; Peilin Zhao; Xin Cao 001; Chunlai Zhou; Tobias Lasser (CoRR, 2023)

Maximizing the influence with κ-grouping constraint. - Guoyao Rao; Deying Li 001; Yongcai Wang; Wenping Chen; Chunlai Zhou; Yuqing Zhu 002 (Inf. Sci., 2023)

Online conflict resolution: Algorithm design and analysis. - Guoyao Rao; Deying Li 001; Yongcai Wang; Wenping Chen; Chunlai Zhou; Yuqing Zhu 002 (Inf. Sci., 2023)

Prior and Prediction Inverse Kernel Transformer for Single Image Defocus Deblurring. - Peng Tang; Zhiqiang Xu 003; Chunlai Zhou; Pengfei Wei 001; Peng Han 005; Xin Cao 001; Tobias Lasser (AAAI, 2024)

Pseudo-Label Calibration Semi-supervised Multi-Modal Entity Alignment. - Luyao Wang; Pengnian Qi; Xigang Bao; Chunlai Zhou; Biao Qin (AAAI, 2024)

A 3-Valued Logical Foundation for Evidential Reasoning. - Chunlai Zhou (BELIEF, 2024)

Locally Differentially Private In-Context Learning. - Chunyan Zheng; Keke Sun; Wenhao Zhao; Haibo Zhou; Lixing Jiang; Shaoyang Song; Chunlai Zhou (LREC/COLING, 2024)

Generate Synthetic Text Approximating the Private Distribution with Differential Privacy. - Wenhao Zhao; Shaoyang Song; Chunlai Zhou (IJCAI, 2024)

Locally Differentially Private In-Context Learning. - Chunyan Zheng; Keke Sun; Wenhao Zhao; Haibo Zhou; Lixin Jiang; Shaoyang Song; Chunlai Zhou (CoRR, 2024)

Enhancing Cross-domain Pre-Trained Decision Transformers with Adaptive Attention. - Wenhao Zhao; Qiushui Xu; Linjie Xu; Lei Song 001; Jinyu Wang; Chunlai Zhou; Jiang Bian 002 (CoRR, 2024)

Non-informative noise-enhanced stochastic neural networks for improving adversarial robustness. - Hao Yang 042; Min Wang 034; Qi Wang 005; Zhengfei Yu; Guangyin Jin; Chunlai Zhou; Yun Zhou 001 (Inf. Fusion, 2024)

Invoke Interfaces Only When Needed: Adaptive Invocation for Large Language Models in Question Answering. - Jihao Zhao; Chunlai Zhou; Biao Qin (CoRR, 2025)