Online Algorithm for Secure Task Offloading in Dynamic Networks. - Yuchong Luo; Jigang Wu; Zikai Zhang; Wenjun Shi; Yuqing Miu (ISPA/IUCC, 2017)

QoE-Aware Task Offloading for Time Constraint Mobile Applications. - Zikai Zhang; Jigang Wu; Guiyuan Jiang; Long Chen 006; Siew-Kei Lam (LCN, 2017)

ENGINE: Cost Effective Offloading in Mobile Edge Computing with Fog-Cloud Cooperation. - Long Chen 006; Jigang Wu; Xin Long; Zikai Zhang (CoRR, 2017)

Branch, bound and remember algorithm for U-shaped assembly line balancing problem. - Zixiang Li; Ibrahim Kucukkoc; Zikai Zhang (Comput. Ind. Eng., 2018)

Attention-Based Supply-Demand Prediction for Autonomous Vehicles. - Zikai Zhang; Hairong Dong 001; Yidong Li; Yizhe You; Fengping Zhao (PDCAT, 2019)

Iterated local search method and mathematical model for sequence-dependent U-shaped disassembly line balancing problem. - Zixiang Li; Ibrahim Kucukkoc; Zikai Zhang (Comput. Ind. Eng., 2019)

Collaborative Task Offloading with Computation Result Reusing for Mobile Edge Computing. - Zikai Zhang; Jigang Wu; Long Chen 006; Guiyuan Jiang; Siew-Kei Lam (Comput. J., 2019)

Modelling and optimisation of energy-efficient U-shaped robotic assembly line balancing problems. - Zikai Zhang; Qiuhua Tang; Zixiang Li; Liping Zhang 002 (Int. J. Prod. Res., 2019)

Enhanced migrating birds optimization algorithm for U-shaped assembly line balancing problems with workers assignment. - Zikai Zhang; Qiuhua Tang; Dayong Han; Zixiang Li (Neural Comput. Appl., 2019)

VisDrone-SOT2020: The Vision Meets Drone Single Object Tracking Challenge Results. - Heng Fan 001; Longyin Wen; Dawei Du; Pengfei Zhu 001; Qinghua Hu; Haibin Ling; Mubarak Shah; Biao Wang; Bin Dong 006; Di Yuan 002; Dong Wang 004; Dongjie Zhou; et al. (ECCV Workshops (4), 2020)

Energy-Efficient Integration Optimization of Production Scheduling and Ladle Dispatching in Steelmaking Plants. - Dayong Han; Qiuhua Tang; Zikai Zhang; Jun Cao (IEEE Access, 2020)

An Improved Lexicographical Whale Optimization Algorithm for the Type-II Assembly Line Balancing Problem Considering Preventive Maintenance Scenarios. - Kai Meng; Qiuhua Tang; Zikai Zhang; Xinbo Qian (IEEE Access, 2020)

Multi-manned assembly line balancing with time and space constraints: A MILP model and memetic ant colony system. - Zikai Zhang; Qiuhua Tang; Manuel Chica (Comput. Ind. Eng., 2020)

Ergonomic risk and cycle time minimization for the U-shaped worker assignment assembly line balancing problem: A multi-objective approach. - Zikai Zhang; Qiuhua Tang; Rubén Ruiz; Liping Zhang 002 (Comput. Oper. Res., 2020)

Branch, bound and remember algorithm for two-sided assembly line balancing problem. - Zixiang Li; Ibrahim Kucukkoc; Zikai Zhang (Eur. J. Oper. Res., 2020)

Multiple-Feature-Based Vehicle Supply-Demand Difference Prediction Method for Social Transportation. - Zikai Zhang; Yidong Li; Hairong Dong 001 (IEEE Trans. Comput. Soc. Syst., 2020)

Distractor-Aware Fast Tracking via Dynamic Convolutions and MOT Philosophy. - Zikai Zhang; Bineng Zhong; Shengping Zhang; Zhenjun Tang; Xin Liu 011; Zhaoxiang Zhang 001 (CVPR, 2021)

Joint Optimization of Path Planning and Task Assignment for Space Robot. - Yifei Sun; Zikai Zhang; Yidong Li; Jigang Wu (PAAP, 2021)

FIDS: Detecting DDoS Through Federated Learning Based Method. - Jingyi Li; Zikai Zhang; Yidong Li; Xinyue Guo; Huifang Li (TrustCom, 2021)

A robust MILP and gene expression programming based on heuristic rules for mixed-model multi-manned assembly line balancing. - Zikai Zhang; Qiuhua Tang; Manuel Chica (Appl. Soft Comput., 2021)

Integration of balancing and preventive maintenance in straight and U-shaped resource-dependent assembly lines: MILP model and memetic algorithm. - Zikai Zhang; Qiuhua Tang; Xinbo Qian (Appl. Soft Comput., 2021)

Integrating flexible preventive maintenance activities into two-stage assembly flow shop scheduling with multiple assembly machines. - Zikai Zhang; Qiuhua Tang (Comput. Ind. Eng., 2021)

Solving multi-objective model of assembly line balancing considering preventive maintenance scenarios using heuristic and grey wolf optimizer algorithm. - Kai Meng; Qiuhua Tang; Zikai Zhang; Chunlong Yu (Eng. Appl. Artif. Intell., 2021)

Multiple dynamic graph based traffic speed prediction method. - Zikai Zhang; Yidong Li; Haifeng Song 001; Hairong Dong 001 (Neurocomputing, 2021)

An enhanced multi-objective JAYA algorithm for U-shaped assembly line balancing considering preventive maintenance scenarios. - Zikai Zhang; Qiuhua Tang; Dayong Han; Xinbo Qian (Int. J. Prod. Res., 2021)

Data mining for fast and accurate makespan estimation in machining workshops. - Lixin Cheng; Qiuhua Tang; Zikai Zhang; Shiqian Wu (J. Intell. Manuf., 2021)

Spectral-Based Directed Graph Network for Malware Detection. - Zikai Zhang; Yidong Li; Hairong Dong 001; Honghao Gao; Yi Jin 001; Wei Wang 012 (IEEE Trans. Netw. Sci. Eng., 2021)

Blockchain-based Secure Key Management model for High-speed Railway. - Zikai Zhang; Jingyi Li; Yifei Sun; Yidong Li; Haifeng Song 001; Hairong Dong 001 (ITSC, 2022)

Global-local Feature Aggregation for Event-based Object Detection on EventKITTI. - Zichen Liang; Hu Cao; Chu Yang; Zikai Zhang; Guang Chen 001 (MFI, 2022)

MCVAE: Multi-channel Variational Autoencoder for Anomaly Detection. - Wanzhen Zhang; Liheng Xu; Zhihui Yu; Zikai Zhang; Tonglai Liu; Shuangyin Liu (PAAP, 2022)

Mixed-model assembly line balancing problem considering preventive maintenance scenarios: MILP model and cooperative co-evolutionary algorithm. - Kai Meng; Qiuhua Tang; Lixin Cheng; Zikai Zhang (Appl. Soft Comput., 2022)

Efficient Algorithms For Storage Load Balancing Of Outsourced Data In Blockchain Network. - Tonglai Liu; Jigang Wu; Jiaxing Li; Jingyi Li; Zikai Zhang (Comput. J., 2022)

Robust assembly line balancing problem considering preventive maintenance scenarios with interval processing time. - Kai Meng; Qiuhua Tang; Zikai Zhang (Eng. Appl. Artif. Intell., 2022)

An improved preference-based variable neighborhood search algorithm with ar-dominance for assembly line balancing considering preventive maintenance scenarios. - Lianpeng Zhao; Qiuhua Tang; Zikai Zhang (Eng. Appl. Artif. Intell., 2022)

Malware detection with dynamic evolving graph convolutional networks. - Zikai Zhang; Yidong Li; Wei Wang 012; Haifeng Song 001; Hairong Dong 001 (Int. J. Intell. Syst., 2022)

Multi-objective Q-learning-based hyper-heuristic with Bi-criteria selection for energy-aware mixed shop scheduling. - Lixin Cheng; Qiuhua Tang; Liping Zhang 002; Zikai Zhang (Swarm Evol. Comput., 2022)

An improved multi-objective multifactorial evolutionary algorithm for assembly line balancing problem considering regular production and preventive maintenance scenarios. - Qiuhua Tang; Kai Meng; Lixin Cheng; Zikai Zhang (Swarm Evol. Comput., 2022)

Byzantine-Robust Federated Learning with Variance Reduction and Differential Privacy. - Zikai Zhang; Rui Hu (CNS, 2023)

Robust scheduling of EMU first-level maintenance in a stub-end depot under stochastic uncertainties. - Ming He; Qiuhua Tang; Jatinder N. D. Gupta; Zikai Zhang; Jun Cao (Eng. Appl. Artif. Intell., 2023)

Robust mixed-model assembly line balancing and sequencing problem considering preventive maintenance scenarios with interval processing times. - Kai Meng; Qiuhua Tang; Zikai Zhang; Zixiang Li (Swarm Evol. Comput., 2023)

A Field Study Implementing New Monitoring Technology for Roof Caving and Systematic Monitoring for Gob-Side Entry Retaining via Roof Cutting in Underground Coal Mining. - Ying Chen; Zikai Zhang; Chen Cao 006; Zhaoju Zhang; Jun Han; Qianjia Hui; Bingjie Huo; Fengshuo Jia; Zhijie Zhu; Yang Chen (Sensors, 2023)

Preliminary Design and On-Site Testing Methodology of Roof-Cutting for Entry Retaining in Underground Coal Mine. - Ying Chen; Zikai Zhang; Shiji Bao; Hongtao Yang; Mingzhe Shi; Chen Cao 006 (Sensors, 2023)

Models and algorithms for U-shaped assembly line balancing problem with collaborative robots. - Zixiang Li; Mukund Nilakantan Janardhanan; Qiuhua Tang; Zikai Zhang (Soft Comput., 2023)

Flexible assembly job shop scheduling problem considering reconfigurable machine: A cooperative co-evolutionary matheuristic algorithm. - Yifan Hu; Liping Zhang 002; Zikai Zhang; Zixiang Li; Qiuhua Tang (Appl. Soft Comput., 2024)

A matheuristic-oriented iterated greedy algorithm for multi-mode resource-constrained project scheduling problem under uncertainty. - Zheng Gao 004; Liping Zhang 002; Puliang Yu; Zikai Zhang; Zixiang Li (Comput. Ind. Eng., 2024)

Federated Learning for Smart Grid: A Survey on Applications and Potential Vulnerabilities. - Zikai Zhang; Suman Rath; Jiaohao Xu; Tingsong Xiao (CoRR, 2024)

Fed-piLot: Optimizing LoRA Assignment for Efficient Federated Foundation Model Fine-Tuning. - Zikai Zhang; Jiahao Xu; Ping Liu; Rui Hu (CoRR, 2024)

System Reliability Engineering in the Age of Industry 4.0: Challenges and Innovations. - Antoine Tordeux; Tim Maurice Julitz; Isabelle Müller; Zikai Zhang; Jannis Pietruschka; Nicola Fricke; Nadine Schlüter; Stefan Bracke; Manuel Löwer (CoRR, 2024)

Matheuristic and learning-oriented multi-objective artificial bee colony algorithm for energy-aware flexible assembly job shop scheduling problem. - Yifan Hu; Liping Zhang 002; Zikai Zhang; Zixiang Li; Qiuhua Tang (Eng. Appl. Artif. Intell., 2024)

A self-learning knowledge-based MOEA/D for distributed heterogeneous assembly permutation flowshop scheduling with batch delivery. - Zikai Zhang; Qiuhua Tang; Ling Wang 001; Zixiang Li; Liping Zhang 002 (Knowl. Based Syst., 2024)

A matheuristic-based multi-objective evolutionary algorithm for flexible assembly jobs shop scheduling problem in cellular manufacture. - Yifan Hu; Liping Zhang 002; Qiong Wang; Zikai Zhang; Qiuhua Tang (Swarm Evol. Comput., 2024)

Blockchain-Based Decentralized Cloud Storage With Reliable Deduplication and Storage Balancing. - Jingyi Li; Yidong Li; Jigang Wu; Zikai Zhang; Yi Jin 001 (IEEE Trans. Netw. Sci. Eng., 2024)

SECaaS-Based Partially Observable Defense Model for IIoT Against Advanced Persistent Threats. - Zikai Zhang; Chuntao Ding; Yidong Li; Jinhui Yu; Jingyi Li (IEEE Trans. Serv. Comput., 2024)

A multi-objective co-evolutionary algorithm for energy and cost-oriented mixed-model assembly line balancing with multi-skilled workers. - Zikai Zhang; Manuel Chica; Qiuhua Tang; Zixiang Li; Liping Zhang 002 (Expert Syst. Appl., 2024)

Attribute- and attention-guided few-shot classification. - Ziquan Wang; Hui Li; Zikai Zhang; Feng Chen; Jia Zhai (Multim. Syst., 2024)

Reinforcement Learning-Based Multiobjective Evolutionary Algorithm for Mixed-Model Multimanned Assembly Line Balancing Under Uncertain Demand. - Zikai Zhang; Qiuhua Tang; Manuel Chica; Zixiang Li (IEEE Trans. Cybern., 2024)

A Knowledge-Assisted Variable Neighborhood Search for Two-Sided Assembly Line Balancing Considering Preventive Maintenance Scenarios. - Lianpeng Zhao; Qiuhua Tang; Zikai Zhang; Yingying Zhu 007 (IEEE Trans. Syst. Man Cybern. Syst., 2024)

Detecting Backdoor Attacks in Federated Learning via Direction Alignment Inspection. - Jiahao Xu; Zikai Zhang; Rui Hu (CVPR, 2025)

Achieving Byzantine-Resilient Federated Learning via Layer-Adaptive Sparsified Model Aggregation. - Jiahao Xu; Zikai Zhang; Rui Hu (WACV, 2025)

Identify Backdoored Model in Federated Learning via Individual Unlearning. - Jiahao Xu; Zikai Zhang; Rui Hu (WACV, 2025)

A Q-learning-oriented multi-objective teaching-learning-based optimization algorithm for balancing U-shaped disassembly lines. - Wanlin Yang; Zixiang Li; Chenyu Zheng; Tao Li; Zikai Zhang; Liping Zhang 002 (Appl. Soft Comput., 2025)

Balancing and scheduling human-robot collaborative assembly lines with heterogeneous robots and limited resources: Constraint programming approach and fruit fly optimization algorithm. - Chenyu Zheng; Zixiang Li; Mukund Janardhanan; Zikai Zhang; Liping Zhang 002 (Comput. Ind. Eng., 2025)

A Q-learning-based multi-population algorithm for multi-objective distributed heterogeneous assembly no-idle flowshop scheduling with batch delivery. - Zikai Zhang; Qiuhua Tang; Liping Zhang 002; Zixiang Li; Lixin Cheng (Expert Syst. Appl., 2025)

Lightweight bi-level optimization algorithm for synchronized scheduling of production and transportation in a reconfigurable flexible job shop. - Lixin Cheng; Qiuhua Tang; Zikai Zhang; Jing Wang (Swarm Evol. Comput., 2025)

A robust counterpart model and matheuristic-oriented evolutionary algorithm for evaluating energy consumption of project scheduling with uncertainty. - Zheng Gao 004; Liping Zhang 002; Zikai Zhang; Zixiang Li; Yingli Li (Swarm Evol. Comput., 2025)

A novel disjunctive-graph-based meta-heuristic approach for multi-objective resource-constrained project scheduling problem with multi-skilled staff. - Min Hu; Min Zhou; Zikai Zhang; Liping Zhang; Yingli Li (Swarm Evol. Comput., 2025)

A matheuristic-based self-learning evolutionary algorithm for lot streaming hybrid flow shop group scheduling with limited auxiliary modules. - Hongxia Tan; Min Zhou; Liping Zhang 002; Zikai Zhang; Yingli Li; Zixiang Li (Swarm Evol. Comput., 2025)

A matheuristic-based self-learning approach for distributed heterogeneous assembly flowshop scheduling with multiple assembly factories and make-to-order delivery. - Zikai Zhang; Shujun Yu; Qiuhua Tang; Liping Zhang 002; Zixiang Li; Lixin Cheng; Yingli Li (Swarm Evol. Comput., 2025)

An effective cooperative coevolutionary algorithm with global and local-oriented cooperative mechanisms for multi-objective hybrid flowshop lot-streaming scheduling with limited and flexible sub-lots. - Yingying Zhu 007; Qiuhua Tang; Zikai Zhang; Ronghua Meng; Siwei Huang (Swarm Evol. Comput., 2025)

ROMA: a Read-Only-Memory-based Accelerator for QLoRA-based On-Device LLM. - Wenqiang Wang; Yijia Zhang; Zikai Zhang; Guanting Huo; Hao Liang 003; Shijie Cao; Ningyi Xu (CoRR, 2025)

Traceable Black-box Watermarks for Federated Learning. - Jiahao Xu; Rui Hu; Olivera Kotevska; Zikai Zhang (CoRR, 2025)

FlowerTune: A Cross-Domain Benchmark for Federated Fine-Tuning of Large Language Models. - Yan Gao 016; Massimo Roberto Scamarcia; Javier Fernández-Marqués; Mohammad Naseri; Chong Shen Ng; Dimitris Stripelis; Zexi Li; Tao Shen; Jiamu Bai; Daoyuan Chen; Zikai Zhang; Rui Hu; et al. (CoRR, 2025)

Fed-HeLLo: Efficient Federated Foundation Model Fine-Tuning with Heterogeneous LoRA Allocation. - Zikai Zhang; Ping Liu; Jiahao Xu; Rui Hu (CoRR, 2025)

Majority Bit-Aware Watermarking For Large Language Models. - Jiahao Xu; Rui Hu; Zikai Zhang (CoRR, 2025)

A new graphical modelling and nearest neighborhood search algorithm for resource-constrained project scheduling problem with multi-skill staff. - Min Hu; Min Zhou; Zikai Zhang; Zixiang Li; Liping Zhang 002 (Expert Syst. Appl., 2026)