Jun Zhao

ORCID

Publication Activity (10 Years)

Years Active: 1992-2024
Publications (10 Years): 413

Top Venues

University of Bremen, Germany (PHD)

Education History

University of Bremen, Germany

PHD

Publications

Kai Wang, Ying Zhang, Chaoyong Wang, Jun Zhao, Le Liu, Jiaye Chen, Yarui Wang
= 4-20) clusters. J. Comput. Chem. 45 (8) (2024)
Renyang Liu, Jun Zhao, Xing Chu, Yu Liang, Wei Zhou, Jing He
Can LSH (locality-sensitive hashing) be replaced by neural network? Soft Comput. 28 (2) (2024)
Zhao Li, Xin Wang, Jianxin Li, Wenbin Guo, Jun Zhao
HyCubE: Efficient Knowledge Hypergraph 3D Circular Convolutional Embedding. CoRR (2024)
Tinghao Zhang, Kwok-Yan Lam, Jun Zhao
Device Scheduling and Assignment in Hierarchical Federated Learning for Internet of Things. CoRR (2024)
Zhao Yang, Yuanzhe Zhang, Pengfei Cao, Cao Liu, Jiansong Chen, Jun Zhao, Kang Liu
Information bottleneck based knowledge selection for commonsense reasoning. Inf. Sci. 660 (2024)
Jianing He, Qi Zhang, Weiping Ding, Duoqian Miao, Jun Zhao, Liang Hu, Longbing Cao
-BERT: Distance-Enhanced Early Exiting for BERT based on Prototypical Networks. CoRR (2024)
Dian Wang, Andrea D'Ariano, Jun Zhao, Shuguang Zhan, Qiyuan Peng
Joint rolling stock rotation planning and depot deadhead scheduling in complicated urban rail transit lines. Eur. J. Oper. Res. 314 (2) (2024)
Mohamed R. Shoaib, Heba M. Emara, Jun Zhao, Walid El-Shafai, Naglaa F. Soliman, Ahmed S. Mubarak, Osama A. Omer, Fathi E. Abd El-Samie, Hamada Esmaiel
Deep Learning Innovations in Diagnosing Diabetic Retinopathy: The Potential of Transfer Learning and the DiaCNN Model. CoRR (2024)
Chen Liu, Bo Li, Jun Zhao, Weiwei Feng, Xudong Liu, Chunpei Li
A2-CLM: Few-Shot Malware Detection Based on Adversarial Heterogeneous Graph Augmentation. IEEE Trans. Inf. Forensics Secur. 19 (2024)
Binghai Wang, Rui Zheng, Lu Chen, Yan Liu, Shihan Dou, Caishuang Huang, Wei Shen, Senjie Jin, Enyu Zhou, Chenyu Shi, Songyang Gao, Nuo Xu, Yuhao Zhou, Xiaoran Fan, Zhiheng Xi, Jun Zhao, Xiao Wang, Tao Ji, Hang Yan, Lixing Shen, Zhan Chen, Tao Gui, Qi Zhang, Xipeng Qiu, Xuanjing Huang, Zuxuan Wu, Yu-Gang Jiang
Secrets of RLHF in Large Language Models Part II: Reward Modeling. CoRR (2024)
Jun Zhao, Zhihao Zhang, Luhui Gao, Qi Zhang, Tao Gui, Xuanjing Huang
LLaMA Beyond English: An Empirical Study on Language Capability Transfer. CoRR (2024)
Nuo Xu, Jun Zhao, Can Zu, Tao Gui, Qi Zhang, Xuanjing Huang
Advancing Translation Preference Modeling with RLHF: A Step Towards Cost-Effective Solution. CoRR (2024)
Yi Lu, Xin Zhou, Wei He, Jun Zhao, Tao Ji, Tao Gui, Qi Zhang, Xuanjing Huang
LongHeads: Multi-Head Attention is Secretly a Long Context Processor. CoRR (2024)
Yixuan Weng, Shizhu He, Kang Liu, Shengping Liu, Jun Zhao
ControlLM: Crafting Diverse Personalities for Language Models. CoRR (2024)
Mohamed R. Shoaib, Heba M. Emara, Jun Zhao
A Survey on the Applications of Frontier AI, Foundation Models, and Large Language Models to Intelligent Transportation Systems. CoRR (2024)
Pengwei Zhou, Qianqian Zhao, Zuhua Xu, Baofeng Zhao, Jun Zhao, Xi Chen, Zhijiang Shao, Kai Wang
Two-time scale dynamic closed-loop scheduling for gas supply network with multiple air separation units. Comput. Ind. Eng. 187 (2024)
Jun Zhao, Can Zu, Hao Xu, Yi Lu, Wei He, Yiwen Ding, Tao Gui, Qi Zhang, Xuanjing Huang
LongAgent: Scaling Language Models to 128k Context through Multi-Agent Collaboration. CoRR (2024)
Jiang Bian, Xuhong Li, Tao Wang, Qingzhong Wang, Jun Huang, Chen Liu, Jun Zhao, Feixiang Lu, Dejing Dou, Haoyi Xiong
ANet: A Large-Scale Benchmark for Dense Action Detection from Table Tennis Match Broadcasting Videos. ACM Trans. Multim. Comput. Commun. Appl. 20 (4) (2024)
Jun Zhao, Kai Zhang, Junqing Gong, Haifeng Qian
Lavida: Large-Universe, Verifiable, and Dynamic Fine-Grained Access Control for E-Health Cloud. IEEE Trans. Inf. Forensics Secur. 19 (2024)
Chenhui Hu, Pengfei Cao, Yubo Chen, Kang Liu, Jun Zhao
WilKE: Wise-Layer Knowledge Editor for Lifelong Knowledge Editing. CoRR (2024)
Shengpeng Yu, Hong Wang, Jing Li, Jun Zhao, Cheng Liang, Yanshen Sun
A Multi-Relational Graph Encoder Network for Fine-Grained Prediction of MiRNA-Disease Associations. IEEE ACM Trans. Comput. Biol. Bioinform. 21 (1) (2024)
Mohamed R. Shoaib, Heba M. Emara, Jun Zhao
A Survey on the Applications of Frontier AI, Foundation Models, and Large Language Models to Intelligent Transportation Systems. ICCA (2023)
Xiang Zhang, Shizhu He, Kang Liu, Jun Zhao
On the Effects of Structural Modeling for Neural Semantic Parsing. CoNLL (2023)
Zihan Teng, Jun Zhao, Qi Wang, Haonan Lu, Jiangong Zhang
Development and Experimental Research of VFTO Measuring Sensor. Sensors 23 (1) (2023)
Ronghui Xu, Weiming Huang, Jun Zhao, Meng Chen, Liqiang Nie
A Spatial and Adversarial Representation Learning Approach for Land Use Classification with POIs. ACM Trans. Intell. Syst. Technol. 14 (6) (2023)
Hang Yang, Yubo Chen, Kang Liu, Jun Zhao, Zuyu Zhao, Weijian Sun
Multi-Turn and Multi-Granularity Reader for Document-Level Event Extraction. ACM Trans. Asian Low Resour. Lang. Inf. Process. 22 (1) (2023)
Enhao Cheng, Jun Zhao, Hong Wang, Shuguang Song, Shuxian Xiong, Yanshen Sun
Dual Network Contrastive Learning for Predicting Microbe-Disease Associations. IEEE ACM Trans. Comput. Biol. Bioinform. 20 (6) (2023)
Wei Shen, Rui Zheng, WenYu Zhan, Jun Zhao, Shihan Dou, Tao Gui, Qi Zhang, Xuanjing Huang
Loose lips sink ships: Mitigating Length Bias in Reinforcement Learning from Human Feedback. CoRR (2023)
Jun Zhao, Xinyu Zhou, Yang Li, Liangxin Qian
Optimizing Utility-Energy Efficiency for the Metaverse over Wireless Networks under Physical Layer Security. CoRR (2023)
Yixuan Weng, Minjun Zhu, Fei Xia, Bin Li, Shizhu He, Shengping Liu, Bin Sun, Kang Liu, Jun Zhao
Large Language Models are Better Reasoners with Self-Verification. EMNLP (Findings) (2023)
Zhongtao Jiang, Yuanzhe Zhang, Cao Liu, Jun Zhao, Kang Liu
Generative Calibration for In-context Learning. EMNLP (Findings) (2023)
Yiming Ju, Yuanzhe Zhang, Kang Liu, Jun Zhao
A Hierarchical Explanation Generation Method Based on Feature Interaction Detection. ACL (Findings) (2023)
Beichuan Zhang, Chenggen Sun, Jianchao Tan, Xinjun Cai, Jun Zhao, Mengqi Miao, Kang Yin, Chengru Song, Na Mou, Yang Song
SHARK: A Lightweight Model Compression Approach for Large-scale Recommender Systems. CIKM (2023)
Yang Li, Xinyu Zhou, Jun Zhao
Resource Allocation for Semantic Communication under Physical-layer Security. CoRR (2023)
Terence Jie Chua, Wenhan Yu, Jun Zhao
Play to Earn in the Metaverse with Mobile Edge Computing over Wireless Networks: A Deep Reinforcement Learning Approach. CoRR (2023)
Bo Zhou, Yubo Chen, Kang Liu, Jun Zhao
Script Event Prediction via Multilingual Event Graph Networks. ACM Trans. Asian Low Resour. Lang. Inf. Process. 22 (1) (2023)
Ying Liu, Long Chen, Yunchong Li, Jun Zhao, Wei Wang
Time series prediction with input noise based on the ESN and the EM and its industrial applications. Expert Syst. Appl. 217 (2023)
Shixiang Jiao, Jun Zhao, Yufei He, Shixuan Zhao, Zhenguan Wu, Tianyi Zeng, Rui Zhang
Semi-supervised interlayer intelligent recognition method. Earth Sci. Informatics 16 (3) (2023)
Qiuwei Zheng, Jun Zhao
Trace-and-Revoke Quadratic Functional Encryption. ISC (2023)
Long Ma, Hongping Xie, Jun Zhao, Liang Liu, Ximin Li, Zhangxuan Wang, Renqiang Zhang, Wentao Shen
Study on the Structural Checking Method of the Guide Rail Frame and the Wall Frame of the Inclined Elevator for Super-large Span Tower Group. ISIA (2023)
Wei Shen, Rui Zheng, WenYu Zhan, Jun Zhao, Shihan Dou, Tao Gui, Qi Zhang, Xuanjing Huang
Loose lips sink ships: Mitigating Length Bias in Reinforcement Learning from Human Feedback. EMNLP (Findings) (2023)
Jun Zhao, Liangxin Qian, Wenhan Yu
Human-Centric Resource Allocation in the Metaverse over Wireless Communications. CoRR (2023)
Rui Zhao, Jun Zhao, Zimeng Zhou
Long-living Service for Cooperative Knowledge Use in Decentralized Data Stores. CoRR (2023)
Wenhan Yu, Terence Jie Chua, Jun Zhao
Mobile Edge Computing and AI Enabled Web3 Metaverse over 6G Wireless Communications: A Deep Reinforcement Learning Approach. CoRR (2023)
Yao Xu, Shizhu He, Li Cai, Kang Liu, Jun Zhao
Prediction and Calibration: Complex Reasoning over Knowledge Graph with Bi-directional Directed Acyclic Graph Neural Network. ACL (Findings) (2023)
Jake M. L. Stein, Vidminas Vizgirda, Max Van Kleek, Reuben Binns, Jun Zhao, Rui Zhao, Naman Goel, George Chalhoub, Wael S. Albayaydh, Nigel Shadbolt
'You are you and the app. There's nobody else.': Building Worker-Designed Data Institutions within Platform Hegemony. CHI (2023)
Fangyu Lei, Tongxu Luo, Pengqi Yang, Weihao Liu, Hanwen Liu, Jiahe Lei, Yiming Huang, Yifan Wei, Shizhu He, Jun Zhao, Kang Liu
TableQAKit: A Comprehensive and Practical Toolkit for Table-based Question Answering. CoRR (2023)
Hexi Wang, Ning Xiao, Shichao Luo, Runrui Li, Jun Zhao, Yulan Ma, Juanjuan Zhao, Yan Qiang, Long Wang, Jianhong Lian
Multi-scale dense selective network based on border modeling for lung nodule segmentation. Int. J. Comput. Assist. Radiol. Surg. 18 (5) (2023)
Wenhan Yu, Terence Jie Chua, Jun Zhao
User-centric Heterogeneous-action Deep Reinforcement Learning for Virtual Reality in the Metaverse over Wireless Networks. CoRR (2023)
Jun Zhao, Minghao Yang, Junqing Gong, Kai Zhang, Haifeng Qian
Bounded-collusion decentralized ABE with sublinear parameters. Theor. Comput. Sci. 960 (2023)
Peiyuan Si, Wenhan Yu, Jun Zhao, Kwok-Yan Lam, Qing Yang
UAV aided Metaverse over Wireless Communications: A Reinforcement Learning Approach. CoRR (2023)
Yifan Wei, Yisong Su, Huanhuan Ma, Xiaoyan Yu, Fangyu Lei, Yuanzhe Zhang, Jun Zhao, Kang Liu
MenatQA: A New Dataset for Testing the Temporal Comprehension and Reasoning Abilities of Large Language Models. CoRR (2023)
Tong Zhou, Yubo Chen, Pengfei Cao, Kang Liu, Jun Zhao, Shengping Liu
Oasis: Data Curation and Assessment System for Pretraining of Large Language Models. CoRR (2023)
Weihao Liu, Fangyu Lei, Tongxu Luo, Jiahe Lei, Shizhu He, Jun Zhao, Kang Liu
MMHQA-ICL: Multimodal In-context Learning for Hybrid Question Answering over Text, Tables and Images. CoRR (2023)
Wenhan Yu, Jun Zhao
Quantum Multi-Agent Reinforcement Learning as an Emerging AI Technology: A Survey and Future Directions. ICCA (2023)
Terence Jie Chua, Wenhan Yu, Jun Zhao
Mobile Edge Adversarial Detection for Digital Twinning to the Metaverse with Deep Reinforcement Learning. CoRR (2023)
Yao Xu, Shizhu He, Cunguang Wang, Li Cai, Kang Liu, Jun Zhao
Query2Triple: Unified Query Encoding for Answering Diverse Complex Queries over Knowledge Graphs. EMNLP (Findings) (2023)
Yifan Wei, Fangyu Lei, Yuanzhe Zhang, Jun Zhao, Kang Liu
Multi-View Graph Representation Learning for Answering Hybrid Numerical Reasoning Question. CoRR (2023)
Jun Zhao, Yongxin Zhang, Qi Zhang, Tao Gui, Zhongyu Wei, Minlong Peng, Mingming Sun
Actively Supervised Clustering for Open Relation Extraction. CoRR (2023)
Yuezhu Wang, Chao Song, Jun Zhao, Yuexin Zhang, Xilong Zhao, Chenchen Feng, Guorui Zhang, Jiang Zhu, Fan Wang, Fengcui Qian, Liwei Zhou, Jian Zhang, Xuefeng Bai, Bo Ai, Xinyu Liu, Qiuyu Wang, Chunquan Li
SEdb 2.0: a comprehensive super-enhancer database of human and mouse. Nucleic Acids Res. 51 (D1) (2023)
Jinghong Lan, Xudong Liu, Bo Li, Jun Zhao
A novel hierarchical attention-based triplet network with unsupervised domain adaptation for network intrusion detection. Appl. Intell. 53 (10) (2023)
Renyang Liu, Jun Zhao, Xing Chu, Yu Liang, Wei Zhou, Jing He
Can LSH (Locality-Sensitive Hashing) Be Replaced by Neural Network? CoRR (2023)
Fangyu Lei, Qian Liu, Yiming Huang, Shizhu He, Jun Zhao, Kang Liu
S3Eval: A Synthetic, Scalable, Systematic Evaluation Suite for Large Language Models. CoRR (2023)
Ziyang Huang, Pengfei Cao, Jun Zhao, Kang Liu
DiffusionSL: Sequence Labeling via Tag Diffusion Process. EMNLP (Findings) (2023)
Peiyuan Si, Jun Zhao, Kwok-Yan Lam, Qing Yang
UAV-assisted Semantic Communication with Hybrid Action Reinforcement Learning. CoRR (2023)
Zhao Yang, Yuanzhe Zhang, Dianbo Sui, Cao Liu, Jun Zhao, Kang Liu
Representative Demonstration Selection for In-Context Learning with Two-Stage Determinantal Point Process. EMNLP (2023)
Zheng Lv, Kai Chen, Tai Zhang, Jun Zhao, Wei Wang
Multi-feature generation network-based imputation method for industrial data with high missing rate. Expert Syst. Appl. 227 (2023)
Jun Zhao, Xin Zhao, WenYu Zhan, Qi Zhang, Tao Gui, Zhongyu Wei, Yunwen Chen, Xiang Gao, Xuanjing Huang
Open Set Relation Extraction via Unknown-Aware Training. CoRR (2023)
Jun Zhao, Min Yan, Xi Luo, Zhan Gan, Hong Cao, Jiarui Chang, Yichen Wen, Xiaohan Sun
Study on the Performance of In-Line Closed-Loop Polarization Maintaining Fiber Temperature Sensor. IEEE Trans. Instrum. Meas. 72 (2023)
Yuanshi Deng, Zhengwei Chang, Jun Zhao, Wei Pu, Xuanwen Ding, Ran Zhang, Hongyan Wang, Xiaopei Guo, Hongqiang Gong
Tag Anti-collision Algorithm for RFID in Underdetermined States Based on Local Sparse Constraints. ICCSIE (2023)
Baoli Zhang, Haining Xie, Pengfan Du, Junhao Chen, Pengfei Cao, Yubo Chen, Shengping Liu, Kang Liu, Jun Zhao
ZhuJiu: A Multi-dimensional, Multi-faceted Chinese Benchmark for Large Language Models. EMNLP (Demos) (2023)
Pengfei Cao, Yupu Hao, Yubo Chen, Kang Liu, Jiexin Xu, Huaijun Li, Xiaojian Jiang, Jun Zhao
Event Ontology Completion with Hierarchical Structure Evolution Networks. EMNLP (2023)
Renyang Liu, Wei Zhou, Tianwei Zhang, Kangjie Chen, Jun Zhao, Kwok-Yan Lam
Boosting Black-box Attack to Deep Neural Networks with Conditional Diffusion Models. CoRR (2023)
Jun Zhao, Tang Tang, Ying Yu, Jingwei Wang, Tianyuan Yang, Ming Chen, Jie Wu
Adaptive Meta Transfer Learning with Efficient Self-Attention for Few-Shot Bearing Fault Diagnosis. Neural Process. Lett. 55 (2) (2023)
Ran Song, Shizhu He, Shengxiang Gao, Li Cai, Kang Liu, Zhengtao Yu, Jun Zhao
Multilingual Knowledge Graph Completion from Pretrained Language Models with Knowledge Constraints. ACL (Findings) (2023)
Jun Zhao, Minglai Shao, Hailiang Tang, Jianchao Liu, Lin Du, Hong Wang
RHGNN: Fake reviewer detection based on reinforced heterogeneous graph neural networks. Knowl. Based Syst. 280 (2023)
Siquan Hu, Jun Jia, Zhiguo Shi, Jun Zhao
A Few-shot Classification Algorithm Based on Two-stream Frequency-Domain Information Networks. ICSAI (2023)
Mingda Miao, Xueshan Gao, Jun Zhao, Peng Zhao
Rehabilitation robot following motion control algorithm based on human behavior intention. Appl. Intell. 53 (6) (2023)
Yao Xu, Shizhu He, Cunguang Wang, Li Cai, Kang Liu, Jun Zhao
Query2Triple: Unified Query Encoding for Answering Diverse Complex Queries over Knowledge Graphs. CoRR (2023)
Yifan Wei, Yisong Su, Huanhuan Ma, Xiaoyan Yu, Fangyu Lei, Yuanzhe Zhang, Jun Zhao, Kang Liu
MenatQA: A New Dataset for Testing the Temporal Comprehension and Reasoning Abilities of Large Language Models. EMNLP (Findings) (2023)
Zefan Wang, Jun Zhao
Utility-Oriented Communications for 6G Mobile Networks and the Metaverse: Semantic, Task-Oriented, Goal-Oriented, and More. ICDCS (2023)
Xinyu Zhou, Yang Li, Jun Zhao
Resource Allocation of Federated Learning Assisted Mobile Augmented Reality System in the Metaverse. ICC (2023)
Xiuling Zhang, Xiaofei Tan, Zhao-Ci Luo, Jun Zhao
Multi-label sequence generating model via label semantic attention mechanism. Int. J. Mach. Learn. Cybern. 14 (5) (2023)
Fangyu Lei, Xiang Li, Yifan Wei, Shizhu He, Yiming Huang, Jun Zhao, Kang Liu
HQA: A Three-Stage Approach for Multi-hop Text-Table Hybrid Question Answering. CoRR (2023)
Baoli Zhang, Haining Xie, Pengfan Du, Junhao Chen, Pengfei Cao, Yubo Chen, Shengping Liu, Kang Liu, Jun Zhao
ZhuJiu: A Multi-dimensional, Multi-faceted Chinese Benchmark for Large Language Models. CoRR (2023)
Wenhan Yu, Terence Jie Chua, Jun Zhao
Virtual Reality in Metaverse over Wireless Networks with User-centered Deep Reinforcement Learning. CoRR (2023)
Yixuan Weng, Zhiqi Wang, Huanxuan Liao, Shizhu He, Shengping Liu, Kang Liu, Jun Zhao
LMTuner: An user-friendly and highly-integrable Training Framework for fine-tuning Large Language Models. CoRR (2023)
Ning Wang, Hui Cao, Jun Zhao, Ruilin Chen, Dapeng Yan, Jie Zhang
M2R2: Missing-Modality Robust Emotion Recognition Framework With Iterative Data Augmentation. IEEE Trans. Artif. Intell. 4 (5) (2023)
Wei Liang, Jun Zhao, Yan Liu, Yan Liang, Jingwen Li
Fairness resource allocation based on blockchain for secure communication in integrated IoT. EURASIP J. Adv. Signal Process. 2023 (1) (2023)
Ge Wang, Jun Zhao, Max Van Kleek, Nigel Shadbolt
'Treat me as your friend, not a number in your database': Co-designing with Children to Cope with Datafication Online. CHI (2023)
Wangtao Sun, Xuanqing Yu, Shizhu He, Jun Zhao, Kang Liu
ExpNote: Black-box Large Language Models are better Task Solvers with Experience Notebook. EMNLP (Findings) (2023)
Jinghan Wang, Wei Liang, Yan Liu, Weibo Gao, Jun Zhao, Qiuhong Zheng
System Design and Research of Future Broadcasting Service Based on Blockchain. BMSB (2023)
Shihan Dou, Enyu Zhou, Yan Liu, Songyang Gao, Jun Zhao, Wei Shen, Yuhao Zhou, Zhiheng Xi, Xiao Wang, Xiaoran Fan, Shiliang Pu, Jiang Zhu, Rui Zheng, Tao Gui, Qi Zhang, Xuanjing Huang
LoRAMoE: Revolutionizing Mixture of Experts for Maintaining World Knowledge in Language Model Alignment. CoRR (2023)
Yupu Hao, Pengfei Cao, Yubo Chen, Kang Liu, Jiexin Xu, Huaijun Li, Xiaojian Jiang, Jun Zhao
Complex Event Schema Induction with Knowledge-Enriched Diffusion Model. EMNLP (Findings) (2023)
Qingbin Liu, Yanchao Hao, Xiaolong Liu, Bo Li, Dianbo Sui, Shizhu He, Kang Liu, Jun Zhao, Xi Chen, Ningyu Zhang, Jiaoyan Chen
Class Lifelong Learning for Intent Detection via Structure Consolidation Networks. ACL (Findings) (2023)
Weiqiang Wu, Chunyue Song, Jun Zhao, Zuhua Xu
Physics-informed gated recurrent graph attention unit network for anomaly detection in industrial cyber-physical systems. Inf. Sci. 629 (2023)
Min Zhang, Jinhao Wang, Jun Zhao, Tengxin Wang, Huiqiang Zhi, Rui Li, Huipeng Li
Research on power quality disturbance classification algorithm based on edge computing. J. Comput. Methods Sci. Eng. 23 (1) (2023)
Renyang Liu, Jinhong Zhang, Kwok-Yan Lam, Jun Zhao, Wei Zhou
SCME: A Self-Contrastive Method for Data-free and Query-Limited Model Extraction Attack. CoRR (2023)
Chenhao Wang, Shaoru Guo, Zhitao He, Zhipeng Xue, Yubo Chen, Kang Liu, Jun Zhao
CogNet2: A Multi-Level Frame Organized Knowledge Base Integrating Linguistic, World and Commonsense Knowledge. ISWC (Posters/Demos/Industry) (2023)
Huaqiang Xu, Shuai Gu, Yu-Cheng Fan, Xiao-Shuang Li, Yue-Feng Zhao, Jun Zhao, Jing-Jing Wang
A strategy learning framework for particle swarm optimization algorithm. Inf. Sci. 619 (2023)

Jun Zhao.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Jun Zhao