Welcome to Helin Yang Home Pages

Dr. Helin Yang

Associate Professor, Department of Information and Communication Engineering, School of Informatics, Xiamen University

Address: Haiyun Campus, Xiamen University, Xiamen 361005, China P.R.

E-mail: helinyang066@xmu.edu.cn

Research Interests

Wireless Communications (5G/6G), Ingelligent Communications, UAV Communication, Algorithm Optimization, Resource Management, Edge Compupting

Selected Publications

• Helin Yang, Kwok-Yan Lam, Liang Xiao, Zehui Xiong, Hao Hu, Dusit Niyato, and H. Vincent Poor. Lead federated neuromorphic learning for wireless edge artificial intelligence. Nature Communication, 13, 4269, 2022. 

• Helin Yang, Jun Zhao, Kwok-Yan Lam, Zehui Xiong, Qingqing Wu, and Liang Xiao, “Distributed deep reinforcement learning based spectrum and power allocation for heterogeneous networks.” IEEE Transactions on Wireless Communications, vol. 21, no. 9, pp. 6935-6948, Sept. 2022.

• Helin Yang, Jun Zhao, Zehui Xiong*, Kwok-Yan Lam, Sumei Sun, and Liang Xiao, “Privacy-preserving federated learning for UAV-enabled networks: Learning-based joint scheduling and resource management,” IEEE Journal on Selected Areas in Communications. vol. 39, no. 10, pp. 3144-3159, Oct. 2021.

• Helin Yang, Zehui Xiong, Jun Zhao*, Dusit Niyato, Chau Yuen, and Ruilong Deng, “Deep reinforcement learning based massive access management for ultra-reliable low-latency communications,” IEEE Transactions on Wireless Communications, vol. 20, no. 5, pp. 2977-2990, May 2021.

• Helin Yang, Zehui Xiong*, Jun Zhao, Dusit Niyato, Qingqing Wu, H. Vincent Poor, and Massimo Tornatore, “Intelligent reflecting surface assisted anti-jamming communications: A fast reinforcement learning approach,” IEEE Transactions on Wireless Communications, vol. 20, no. 3, pp. 1963-1974, Mar. 2021.

• Helin Yang, Zehui Xiong, Jun Zhao*, Dusit Niyato, Qingqing Wu, and Liang Xiao, “Deep reinforcement learning-based intelligent reflecting surface for secure wireless communications,” IEEE Transactions on Wireless Communications, vol. 20, no. 1, pp. 375-388, Jan. 2021. Hot Paper 0.1%, ESI Highly Cited Paper 1%

• Helin Yang, Wen-De. Zhong, Chen Chen*, Arokiaswami Alphones, Pengfei Du, Sheng Zhang, and Xianzhong Xie, “Coordinated resource allocation-based integrated visible light communication and positioning systems for indoor IoT.” IEEE Transactions on Wireless Communications, vol. 19, no. 7, pp. 4671-4684, Jul. 2020.

• Helin Yang, Arokiaswami Alphones, Wen-De. Zhong, Chen Chen*, and Xianzhong Xie, “Learning-based energy-efficient resource management by heterogeneous RF/VLC for ultra-reliable low-latency industrial IoT networks,” IEEE Transactions on Industrial Informatics, vol. 16, no. 8, pp. 5565-5576, Aug. 2020.

• Helin Yang, Arokiaswami Alphones, Zehui Xiong*, Dusit Niyato, Jun Zhao, and Kaishun Wu, “Artificial intelligence-enabled intelligent 6G networks”, IEEE Network, vol. 34, no. 6, pp. 272-280, Nov. 2020. ESI Highly Cited Paper 1%

• Helin Yang, Xianzhong Xie, and Michel Kadoch, “Machine learning techniques and a case study for intelligent wireless networks,” IEEE Network, vol. 34, no. 3, pp. 208-215, May 2020.

• Helin Yang, Wen-De. Zhong, Chen Chen, and Arokiaswami Alphones, “Integration of visible light communication and positioning within 5G networks for Internet of Things”, IEEE Network, vol. 34, no. 5, pp. 134-140, Sept. 2020.

• Helin Yang, Wen-De. Zhong, Chen Chen*, and Arokiaswami Alphones, “QoS-driven optimized design based integrated visible light communication and positioning for indoor IoT networks,” IEEE Internet of Things Journal, vol. 7, no. 1, pp. 269-283, Jan. 2020.

• Helin Yang*, Wen-De. Zhong, Chen Chen, and Xianzhong Xie, “Deep reinforcement learning based energy-efficient resource management for social and cognitive internet of things,” IEEE Internet of Things Journal, vol. 7, no. 6, pp. 5677-5689, Jun. 2020.

• Helin Yang and Xianzhong Xie*, “Energy-efficient joint scheduling and resource management for UAV-enabled multicell networks,” IEEE Systems Journal, vol. 14, no. 1, pp. 363-374, Mar. 2020.

• Helin Yang and Xianzhong Xie*, “An actor-critic deep reinforcement learning approach for transmission scheduling in cognitive internet of things systems,” IEEE Systems Journal, vol. 14, no. 1, pp. 51-60, Mar. 2020.

• Helin Yang, Xianzhong Xie*, and Michel Kadoch, “Intelligent resource management based on reinforcement learning for ultra-reliable and low-latency IoV communication networks,” IEEE Transactions on Vehicular Technology, vol. 68, no. 5, pp. 4157-4169, May 2019.

• Helin Yang, Chen Chen*, Wen-De. Zhong, and Arokiaswami Alphones, “Joint precoder and equalizer design for multi-user multi-cell MIMO VLC systems,” IEEE Transactions on Vehicular Technology, vol. 67, no. 12, pp. 11354-11364, Dec. 2018.

• Helin Yang and Xianzhong Xie, “Noncooperative and cooperative optimization of electric vehicle charging under demand uncertainty: a robust stackelberg game,” IEEE Transactions on Vehicular Technology, vol. 65, no. 3, pp. 1043-1058, Mar. 2016.

• Helin Yang, Pengfei Du*, Wen-De. Zhong, Chen Chen, Arokiaswami Alphones, and Sheng Zhang, “Reinforcement learning based intelligent resource allocation for integrated VLCP systems,” IEEE Wireless Communication Letters, vol. 8, no. 4, pp. 1204-1207, Aug. 2019.

• Helin Yang, Chen Chen*, Wen-De. Zhong, and Arokiaswami Alphones, “Demonstration of a quasi-gapless integrated visible light communication and positioning system,” IEEE Photonics Technology Letters, vol. 30, no. 23, pp. 2001-2004, Dec. 2018.

• Helin Yang, Chen Chen*, and Wen-De. Zhong, “Cognitive multi-cell visible light communication with hybrid underlay/overlay resource allocation,” IEEE Photonics Technology Letters, vol. 30, no. 12, pp. 1135-1138, Jun. 2018.

Selected Conferences

• Helin Yang, Helin Yang, Kwok-Yan Lam, Jiangtian Nie, Jun Zhao, Sahil Garg, Liang Xiao, Zehui Xiong, and Mohsen Guizani, “3D beamforming based on deep learning for secure communication in 5G and beyond wireless networks” IEEE Global Communications Conference Workshops (GC Wkshps), Madrid, Spain, Dec. 2021, pp. 1–6. Best Paper

• Wen Liu, Maochan Liang, Jiangtian Nie, Xianjun Deng, Zehui Xiong, Jiawen Kang, Helin Yang, Yang, Zhang ,Intelligent Data-Driven Vessel Trajectory Prediction in MaritimeTransportation Cyber-Physical System, 2021 IEEE Intern ational Conference on Cyber, Physical and Social Computing, Australia, Dec. 2021. Best Paper

• Helin Yang, Yang Zhao, Zehui Xiong, Jun Zhao, Dusit Niyato, Kwok-Yan Lam, and Qingqing Wu, “Deep reinforcement learning based intelligent reflecting surface for secure wireless communications” IEEE Global Communications Conference (GLOBECOM), Taipei, Taiwan, Dec. 2020, pp. 1–6.

• Helin Yang, Zehui Xiong, Jun Zhao, Dusit Niyato, Qingqing Wu, Massimo Tornatore, and Stefano Secci, “Intelligent reflecting surface assisted anti-jamming communications based on reinforcement learning” IEEE Global Communications Conference (GLOBECOM), Taipei, Taiwan, Dec. 2020, pp. 1–6.

• Helin Yang, Chen Chen, Wen-De Zhong, and Arokiaswami Alphones, “QoS-driven optimized design in a new integrated visible light communication and positioning system,” IEEE International Conference on Communications (ICC), pp. 1-6, Dublin, Ireland, Jun. 2020.

• Helin Yang, Chen Chen, Wen-De Zhong, and Arokiaswami Alphones, “Resource allocation for multi-user integrated visible light communication and positioning systems,” IEEE International Conference on Communications (ICC), pp. 1–6, Shanghai, China, May 2019.

Selected Publications as co-authors

• Xiaoyu Ou, Xianzhong Xie, Huabing Lu, and Helin Yang, “Resource Allocation in MU-MISO Rate-Splitting Multiple Access With SIC Errors for URLLC Services,” IEEE Transactions on Communications, vol. 71, no. 1, pp. 229-243, Jan. 2023.

• Yilin Xiao, Liang Xiao, Kunpeng Wan, Helin Yang, Yi Zhang, Yi Wu and Yanyong Zhang, “Reinforcement Learning Based Energy-Efficient Collaborative Inference for Mobile Edge Computing,” IEEE Transactions on Communications, vol. 71, no. 2, pp. 864-876, Feb. 2023.

• Xianzhong Xie, Hong Tang, Helin Yang, Qian Huang, and Dong Pu, “Intelligent Reflecting Surface Assisted Wireless Information and Power Transfer With X-Duplex for 6G Networks,” IEEE Systems Journal, vol. 16, no. 4, pp. 5894-5905, Dec. 2022.

• Xiaoyu Ou, Xianzhong Xie, Huabing Lu, Helin Yang, and Hong Tang, “Energy-Efficient Resource Allocation for Short Packet Transmission in MISO Multicarrier NOMA,” IEEE Transactions on Vehicular Technology, vol. 71, no. 12, pp. 12797-12810, Dec. 2022.

• Liang Xiao, Siyuan Hong, Shiyu Xu, Helin Yang, and Xiangyang Ji, “IRS-Aided Energy-Efficient Secure WBAN Transmission Based on Deep Reinforcement Learning,” IEEE Transactions on Communications, vol. 70, no. 6, pp. 4162-4174, June 2022.

• Huabing Lu, Xianzhong Xie, Zhaoyuan Shi, Hongjiang Lei, Helin Yang and Jun Cai, “Advanced NOMA Assisted Semi-Grant-Free Transmission Schemes for Randomly Distributed Users,” IEEE Transactions on Wireless Communications, doi: 10.1109/TWC.2022.3227555.

• Zhaoyuan Shi, Xianzhong Xie, Huabing Lu, Helin Yang, Jun Cai and Zhiguo Ding, “Deep Reinforcement Learning-Based Multidimensional Resource Management for Energy Harvesting Cognitive NOMA Communications,” IEEE Transactions on Communications, vol. 70, no. 5, pp. 3110-3125, May 2022.

• Chen Chen, Wen-De Zhong, Helin Yang, and Pengfei Du, “On the Performance of MIMO-NOMA-Based Visible Light Communication Systems,” IEEE Photonics Technology Letters, vol. 30, no. 4, pp. 307-310, 15 Feb.15, 2018. (ESI Highly Cited Paper Top 1%)

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Book

• Liang Xiao, Helin Yang, Weihua Zhuang, Minghui Min, “Reinforcement Learning for Maritime Communications”, Springer, 2023, ISBN: 978-3-031-32137-5.

• Xianzhong Xie and Helin Yang. “Chapter 2: A Survey on Joint Routing and Dynamic Spectrum Access in Cognitive Radio Networks,” in “Cognitive Networks: Applications and Deployments”, 2014, ISBN: 9780429161285.

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