[1] Yuchuan Fu, Fei Richard Yu, Changle Li, Tom H. Luan, Yao Zhang, “Vehicular Blockchain-Based Collective Learning for Connected and Autonomous Vehicles,” IEEE Wireless Communications, vol. 27, no. 2, pp. 197-203, 2020. (中科院1区论文)
[2] Yuchuan Fu, Changle Li, Tom H. Luan, Yao Zhang, Fei Richard Yu, “Graded Warning for Rear-End Collision: An Artificial Intelligence Aided Algorithm,” IEEE Transactions on Intelligent Transportation Systems, vol. 21, no. 2, pp. 565-579, 2020. (中科院1区论文)
[3] Yuchuan Fu, Changle Li, Tom H. Luan, Yao Zhang, Guoqiang Mao, “Infrastructure-Cooperative Algorithm for Effective Intersection Collision Avoidance,” Transportation Research Part C: Emerging Technologies, vol. 89, pp. 188–204, 2018. (中科院1区论文)
[4] Yuchuan Fu, Changle Li, Fei Richard Yu, Tom H. Luan, Yao Zhang, “An Autonomous Lane Changing System with Knowledge Accumulation and Transfer Assisted by Vehicular Blockchain,” IEEE Internet of Things Journal, vol. 7, no. 11, pp. 11123-11136, 2020. (中科院1区论文)
[5] Yuchuan Fu, Changle Li, Fei Richard Yu, Tom H. Luan, Yao Zhang, “A Decision-making Strategy for Vehicle Autonomous Braking in Emergency via Deep Reinforcement Learning,” IEEE Transactions on Vehicular Technology, vol. 69, no. 6, pp. 5876-5888, 2020. (中科院2区论文)
[6] Yuchuan Fu, Changle Li, Tom H. Luan, Yao Zhang, Fei Richard Yu, “A Survey of Driving Safety with Sensing, Vehicular Communications, and Artificial Intelligence-based Collision Avoidance,” IEEE Transactions on Intelligent Transportation Systems, 2021, DOI: 10.1109/TITS.2021.3083927. (中科院1区论文)
[7] Yuchuan Fu, Changle Li, Tom H. Luan, Yao Zhang, “IoV and Blockchain-enabled Driving Guidance Strategy in Complex Traffic Environment,” China Communications, accepted, 2021.
[8] Changle Li, Yuchuan Fu, Fei Richard Yu, Tom H. Luan, Yao Zhang, “Vehicle Position Correction: A Vehicular Blockchain Networks based GPS Error Sharing Framework,” IEEE Transactions on Intelligent Transportation Systems, vol. 22, no. 2, pp. 898-912, Feb. 2021. (中科院1区论文)
[9] Yuchuan Fu, Changle Li, Bing Xia, Weiwei Dong, Yulong Duan, Lei Xiong, “A Novel Warning/Avoidance Algorithm for Intersection Collision based on Dynamic Bayesian Networks,” in IEEE International Conference on Communications (ICC 2016), Kuala Lumpur, 2016.05.23-2016.05.27. 
[10] Yanxing Song, Yuchuan Fu, F. Richard Yu, and Li Zhou, “Blockchain-Enabled Internet of Vehicles with Cooperative Positioning: A Deep Neural Network Approach,” IEEE Internet of Things Journal, vol. 7, no. 4, pp. 3485-3498, April 2020. (中科院1区论文)
[11] Fan Li, Yuchuan Fu, Pincan Zhao and Changle Li, “An Incentive Mechanism for Nondeterministic Vehicular Crowdsensing with Blockchain,” in 2020 IEEE/CIC International Conference on Communications in China (ICCC), Chongqing, China, 2020, pp. 1074-1079.
[12] Yao Zhang, Changle Li, Tom H. Luan, Yuchuan Fu, Weisong Shi, and Lina Zhu, “A Mobility-Aware Vehicular Caching Scheme in Content Centric Networks: Model and Optimization,” IEEE Transactions on Vehicular Technology, vol. 68, no. 4, pp. 3100–3112, 2019. 
[13] Changle Li, Yao Zhang, Tom H. Luan, Yuchuan Fu, “Building Transmission Backbone for Highway Vehicular Networks: Framework and Analysis,” IEEE Transactions on Vehicular Technology, vol. 67, no. 9, pp. 8709–8722, 2017.
[14] Mingsi Zhang, Changle Li, Tao Guo, Yuchuan Fu, “Cluster-Based Content Download and Forwarding Scheme for Highway VANETs,” China Communications, vol. 15, no. 4, pp. 110-120, 2018. 
[15] Yao Zhang, Changle Li, Tom H. Luan, Yuchuan Fu, and Hui Wang, “Prediction Based Vehicular Caching: Where and What to Cache?” Mobile Networks & Applications, vol. 25, no. 2, pp. 760-771, 2020. 
[16] Yao Zhang, Changle Li, Tom H. Luan, Yuchuan Fu, Lina Zhu, “Caching on Vehicles: A Lyapunov based Online Algorithm,” in 10th EAI International Conference on Ad Hoc Networks (ADHOCNETS 2018), Sept. 20-23, 2018, Cairns. (Best Student Paper) 
[17] Bing Xia, Changle Li, Lina Zhu, Zhe Liu, Yuchuan Fu, and Lei Xiong, “A Three-Dimensional Accident Driver Model for Vehicular Ad Hoc Networks”, in 2016 IEEE 83rd Vehicular Technology Conference (VTC2016-Spring), May. 15-18, 2016, Nanjing.