Weiwei Li

61 papers A* 15B 4C 1Journal 32Unranked 9
YearRankTypeTitle / Venue / Authors
2026 J jnl
A new open set fault diagnosis method based on adversarial discrimination and deep evidential fusion under limited labeled samples.
Adv. Eng. Informatics
Peng Han, Zhiqiu Huang, Weiwei Li, Jinju Zhou, Wei He, You Cao
2026 A* conf
Learning Label Distribution with Dirichlet Process Mixture Model.
AAAI
Minglong Wang, Weiwei Li, Yunan Lu, Xiuyi Jia
2025 J jnl
A Belief Rule Base Considering Random Variables of Adaptive Membership Functions.
IEEE Trans. Instrum. Meas.
Peng Han, Zhiqiu Huang, Weiwei Li, Wei He, You Cao
2025 A* conf
Adaptive-Grained Label Distribution Learning.
AAAI
Yunan Lu, Weiwei Li, Dun Liu, Huaxiong Li, Xiuyi Jia
2025 A* conf
Approximately Correct Label Distribution Learning.
ICML
Weiwei Li, Haitao Wu, Yunan Lu, Xiuyi Jia
2025 — conf
CPTCP: Incorporating Convolutional Neural Network into Text-Vector Based Test Case Prioritization for Compilers.
ICIC (10)
Chunqi Li, Weiwei Li, Yaoshen Yu, Zhiqiu Huang
2025 J jnl
CTDip: a diversity-guided test program synthesis approach for boosting compiler bug detection.
Empir. Softw. Eng.
Yixuan Tang, Junwei Zeng, Jingxuan Zhang, Weiwei Li, Zhiqiu Huang
2025 A* conf
Divide and Conquer: Learning Label Distribution with Subtasks.
ICML
Haitao Wu, Weiwei Li, Xiuyi Jia
2025 J jnl
Domain Adaptation for Label Distribution Learning.
IEEE Trans. Big Data
Haitao Wu, Weiwei Li, Xiuyi Jia
2025 A* conf
LIMEFLDL: A Local Interpretable Model-Agnostic Explanations Approach for Label Distribution Learning.
ICML
Xiuyi Jia, Jinchi Li, Yunan Lu, Weiwei Li
2025 J jnl
Multi-sensor bearing fault diagnosis based on evidential neural network with sensor weights and reliability.
Expert Syst. Appl.
Peng Han, Zhiqiu Huang, Weiwei Li, Wei He, You Cao
2025 J jnl
Trustworthy interval prediction method with uncertainty estimation based on evidence neural networks.
Reliab. Eng. Syst. Saf.
Peng Han, Zhiqiu Huang, Weiwei Li, Wei He, You Cao
2025 J jnl
Ultra-high-definition underwater image enhancement via dual-domain interactive transformer network.
Int. J. Mach. Learn. Cybern.
Weiwei Li, Feiyuan Cao, Yiwen Wei, Zhenghao Shi, Xiuyi Jia
2024 J jnl
ASTSDL: predicting the functionality of incomplete programming code via an AST-sequence-based deep learning model.
Sci. China Inf. Sci.
Yaoshen Yu, Zhiqiu Huang, Guohua Shen, Weiwei Li, Yichao Shao
2024 J jnl
Adaptive Weighted Ranking-Oriented Label Distribution Learning.
IEEE Trans. Neural Networks Learn. Syst.
Xiuyi Jia, Tian Qin, Yunan Lu, Weiwei Li
2024 B conf
CLGNN: UAV Fault Diagnosis via Causal Learning and Graph Neural Network.
IJCNN
Jun Yao, Weiwei Li, Zhuoran Zheng, Xiuyi Jia
2024 — conf
Detecting Optimizing Compiler Bugs via History-Driven Test Program Mutation.
Internetware
Junwei Zeng, Yixuan Tang, Jingxuan Zhang, Weiwei Li, Zhiqiu Huang
2024 A* conf
Generative Calibration of Inaccurate Annotation for Label Distribution Learning.
AAAI
Liang He, Yunan Lu, Weiwei Li, Xiuyi Jia
2024 J jnl
Label distribution learning via second-order self-representation.
Int. J. Mach. Learn. Cybern.
Peiqiu Yu, Lei Chen, Weiwei Li, Xiuyi Jia
2024 J jnl
Sample diversity selection strategy based on label distribution morphology for active label distribution learning.
Pattern Recognit.
Weiwei Li, Wei Qian, Lei Chen, Xiuyi Jia
2023 A* conf
Generative Label Enhancement with Gaussian Mixture and Partial Ranking.
AAAI
Yunan Lu, Liang He, Fan Min, Weiwei Li, Xiuyi Jia
2023 J jnl
Label Distribution Learning by Maintaining Label Ranking Relation.
IEEE Trans. Knowl. Data Eng.
Xiuyi Jia, Xiaoxia Shen, Weiwei Li, Yunan Lu, Jihua Zhu
2023 A* conf
Label Enhancement via Joint Implicit Representation Clustering.
IJCAI
Yunan Lu, Weiwei Li, Xiuyi Jia
2023 J jnl
Predicting Label Distribution From Tie-Allowed Multi-Label Ranking.
IEEE Trans. Pattern Anal. Mach. Intell.
Yunan Lu, Weiwei Li, Huaxiong Li, Xiuyi Jia
2023 J jnl
Ranking-preserved generative label enhancement.
Mach. Learn.
Yunan Lu, Weiwei Li, Huaxiong Li, Xiuyi Jia
2022 J jnl
ASTENS-BWA: Searching partial syntactic similar regions between source code fragments via AST-based encoded sequence alignment.
Sci. Comput. Program.
Yaoshen Yu, Zhiqiu Huang, Guohua Shen, Weiwei Li, Yichao Shao
2022 J jnl
Fast code recommendation via approximate sub-tree matching.
Frontiers Inf. Technol. Electron. Eng.
Yichao Shao, Zhiqiu Huang, Weiwei Li, Yaoshen Yu
2022 B conf
Filling Missing Labels in Label Distribution Learning by Exploiting Label-Specific Feature Selection.
IJCNN
Weiwei Li, Jin Chen, Yuqing Lu, Zhiqiu Huang
2022 J jnl
Label distribution learning with noisy labels via three-way decisions.
Int. J. Approx. Reason.
Weiwei Li, Yuqing Lu, Lei Chen, Xiuyi Jia
2022 J jnl
Label enhancement with label-specific feature learning.
Int. J. Mach. Learn. Cybern.
Weiwei Li, Jin Chen, Peixue Gao, Zhiqiu Huang
2022 J jnl
Semi-supervised label enhancement via structured semantic extraction.
Int. J. Mach. Learn. Cybern.
Tao Wen, Weiwei Li, Lei Chen, Xiuyi Jia
2021 J jnl
An automatic three-way clustering method based on sample similarity.
Int. J. Mach. Learn. Cybern.
Xiuyi Jia, Ya Rao, Weiwei Li, Sichun Yang, Hong Yu
2021 J jnl
Label Distribution Learning with Label Correlations on Local Samples.
IEEE Trans. Knowl. Data Eng.
Xiuyi Jia, Zechao Li, Xiang Zheng, Weiwei Li, Sheng-Jun Huang
2021 J jnl
Semi-supervised label distribution learning via projection graph embedding.
Inf. Sci.
Xiuyi Jia, Tao Wen, Weiping Ding, Huaxiong Li, Weiwei Li
2020 — conf
ASPDup: AST-Sequence-based Progressive Duplicate Code Detection Tool for Onsite Programming Code.
Internetware
Yaoshen Yu, Zhiqiu Huang, Yu Zhou, Weiwei Li, Yichao Shao
2020 J jnl
Constructing three-way concept lattice based on the composite of classical lattices.
Int. J. Approx. Reason.
Sichun Yang, Yunan Lu, Xiuyi Jia, Weiwei Li
2020 J jnl
Effort-Aware semi-Supervised just-in-Time defect prediction.
Inf. Softw. Technol.
Weiwei Li, Wenzhou Zhang, Xiuyi Jia, Zhiqiu Huang
2020 J jnl
Joint Label-Specific Features and Correlation Information for Multi-Label Learning.
J. Comput. Sci. Technol.
Xiuyi Jia, Sai-Sai Zhu, Weiwei Li
2020 B conf
Multi-Label Learning with Local Similarity of Samples.
IJCNN
Wenfang Zhu, Weiwei Li, Xiuyi Jia
2020 A* conf
Privileged label enhancement with multi-label learning.
IJCAI
Wenfang Zhu, Xiuyi Jia, Weiwei Li
2020 A* conf
Tensor-based multi-view label enhancement for multi-label learning.
IJCAI
Fangwen Zhang, Xiuyi Jia, Weiwei Li
2019 J jnl
A multiphase cost-sensitive learning method based on the multiclass three-way decision-theoretic rough set model.
Inf. Sci.
Xiuyi Jia, Weiwei Li, Lin Shang
2019 — conf
Effort-Aware Tri-Training for Semi-supervised Just-in-Time Defect Prediction.
PAKDD (2)
Wenzhou Zhang, Weiwei Li, Xiuyi Jia
2019 A* conf
Facial Emotion Distribution Learning by Exploiting Low-Rank Label Correlations Locally.
CVPR
Xiuyi Jia, Xiang Zheng, Weiwei Li, Changqing Zhang, Zechao Li
2019 A* conf
Label Distribution Learning with Label Correlations via Low-Rank Approximation.
IJCAI
TingTing Ren, Xiuyi Jia, Weiwei Li, Shu Zhao
2019 A* conf
Label distribution learning with label-specific features.
IJCAI
TingTing Ren, Xiuyi Jia, Weiwei Li, Lei Chen, Zechao Li
2019 J jnl
Multi-objective attribute reduction in three-way decision-theoretic rough set model.
Int. J. Approx. Reason.
Weiwei Li, Xiuyi Jia, Lu Wang, Bing Zhou
2019 — conf
SENSORY: Leveraging Code Statement Sequence Information for Code Snippets Recommendation.
COMPSAC (1)
Lei Ai, Zhiqiu Huang, Weiwei Li, Yu Zhou, Yaoshen Yu
2018 B conf
A Novel Takagi-Sugeno Fuzzy System Modeling Method with Joint Feature Selection and Rule Reduction.
FUZZ-IEEE
Defu Lin, Jun Wang, Jihua Zhu, Yifan Wang, Yizhang Jiang, Zhaohong Deng, Weiwei Li, Shitong Wang
2018 A* conf
Label Distribution Learning by Exploiting Label Correlations.
AAAI
Xiuyi Jia, Weiwei Li, Junyu Liu, Yu Zhang
2018 A* conf
Label Distribution Learning by Exploiting Sample Correlations Locally.
AAAI
Xiang Zheng, Xiuyi Jia, Weiwei Li
2017 J jnl
A Better Translation From LTL to Transition-Based Generalized Büchi Automata.
IEEE Access
Weiwei Li, Shuanglong Kan, Zhiqiu Huang
2017 C conf
A Multi-objective Attribute Reduction Method in Decision-Theoretic Rough Set Model.
KSEM
Lu Wang, Weiwei Li, Xiuyi Jia, Bing Zhou
2017 J jnl
Partial order reduction for checking LTL formulae with the next-time operator.
J. Log. Comput.
Shuanglong Kan, Zhiqiu Huang, Zhe Chen, Weiwei Li, Yutao Huang
2016 J jnl
Neighborhood based decision-theoretic rough set models.
Int. J. Approx. Reason.
Weiwei Li, Zhiqiu Huang, Xiuyi Jia, Xinye Cai
2016 J jnl
Three-way decisions based software defect prediction.
Knowl. Based Syst.
Weiwei Li, Zhiqiu Huang, Qing Li
2014 J jnl
Service Outsourcing Character Oriented Privacy Conflict Detection Method in Cloud Computing.
J. Appl. Math.
Changbo Ke, Zhiqiu Huang, Weiwei Li, Yi Sun, Fangxiong Xiao
2013 — conf
Two-Phase Classification Based on Three-Way Decisions.
RSKT
Weiwei Li, Zhiqiu Huang, Xiuyi Jia
2012 — conf
Three-Way Decisions Solution to Filter Spam Email: An Empirical Study.
RSCTC
Xiuyi Jia, Kan Zheng, Weiwei Li, Tingting Liu, Lin Shang
2011 — conf
An Optimization Viewpoint of Decision-Theoretic Rough Set Model.
RSKT
Xiuyi Jia, Weiwei Li, Lin Shang, Jiajun Chen
2007 — conf
An Incremental Updating Algorithm for Core Computing in Dominance-Based Rough Set Model.
RSFDGrC
Xiuyi Jia, Lin Shang, Yangsheng Ji, Weiwei Li