Dr. Rongpeng Li

李荣鹏 博士

Publications

Standing on the shoulder of giants

Reproducible Research
We respect the reproduction of our works and believe it will help to motivate us to run faster. Hence, we are gradually releasing our simulation codes on Github.

Copyright Notice

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Book Chapter

  1. Fei Ni, Bingyan Wang, Rongpeng Li, Zhifeng Zhao, and Honggang Zhang, Interplay of Semantic Communication and Knowledge Learning – Wireless Semantic Communications: Concepts, Principles and Challenges (Edited by Yao Sun, Lan Zhang, Dusit Niyato, Muhammad Ali Imran), Wiley, ISBN: 9781394223305, 2024.

  2. Zhilin Lu, Rongpeng Li, Ekram Hossain, Zhifeng Zhao, and Honggang Zhang, Reinforcement Learning-based Unicast and Broadcast Semantic Communications with Non-Differentiable Channel – Foundation of Semantic Communication Networks (Edited by Walid Saad, Christina Chaccour, Christo Thomas, Merouane Debbah), IEEE and Wiley, in press, 2024.

  3. Honggang Zhang, Yuxiu Hua, Chujie Wang, Rongpeng Li, and Honggang Zhang, Deep learning based traffic and mobility prediction – Machine Learning for Future Wireless Communications (Edited by Fa‐Long Luo), Wiley, ISBN: 9781119562306 , Dec. 2019.

  4. Rongpeng Li, Zhifeng Zhao, Chen Qi, and Honggang Zhang, Characterizing and Learning the Mobile Data Traffic in Cellular Network – 5G Networks: Fundamental Requirements, Enabling Technologies, and Operations Management (Edited by Anwer Al-Dulaimi, Xianbin Wang, and Chih-Lin I), IEEE and Wiley, ISBN: 9781119332732, Oct. 2018.

  5. Yun Cui, Zhifeng Zhao, Rongpeng Li, Guangchao Zhang, and Honggang Zhang, Filter Bank Techniques for Multi-Carrier Cognitive Radio Systems – Cognitive Communications – Distributed Artificial Intelligence (DAI), Regulatory Policy & Economics, Implementation (Edited by David Grace and Honggang Zhang), Wiley Press, ISBN: 9781119951506, August 2012.

Journal Papers

  1. Wei Geng, Baidi Xiao, Rongpeng Li, Ning Wei, Dong Wang, and Zhifeng Zhao, “Noise Distribution Decomposition based Multi-Agent Distributional Reinforcement Learning,” IEEE Trans. Mob. Comput., Nov. 2024, accepted. [Codes]

  2. Zhilin Lu, Rongpeng Li, Ming Lei, Chan Wang, Zhifeng Zhao, and Honggang Zhang, “Self-critical alternate learning based semantic broadcast communication, IEEE Trans. Commun., Oct. 2024, accepted. [Corresponding Author]

  3. Xiaoxue Yu, Rongpeng Li, Chengchao Liang, and Zhifeng Zhao, “Communication-efficient soft actor-critic policy collaboration via regulated segment mixture,” IEEE Internet Things J., Oct. 2024, accepted. [Corresponding Author] [Codes]

  4. Yuxuan Chen, Rongpeng Li, Xiaoxue Yu, Zhifeng Zhao, and Honggang Zhang, “Adaptive layer splitting for wireless LLM inference in edge computing: A model-based reinforcement learning approach fitee,” Front. Inform. Technol. Electron. Eng., Sep. 2024, accepted. . [Corresponding Author]

  5. Fei Ni, Rongpeng Li, Zhifeng Zhao, and Honggang Zhang, “Topology Data Analysis-based Error Detection for Semantic Image Transmission with Incremental Knowledge-based HARQ,” China Communications, Mar. 2024, accepted. [Corresponding Author] [Codes]

  6. Yuxuan Chen, Rongpeng Li, Zhifeng Zhao, Chenghui Peng, Jianjun Wu, Ekram Hossain, and Honggang Zhang, “NetGPT: An AI-native network architecture for provisioning beyond personalized generative services,” IEEE Network, vol. 38, no. 6, pp. 404–413, Nov. 2024. [Corresponding Author]

  7. Ruoqi Wen, Jiahao Huang, Rongpeng Li, Guoru Ding, and Zhifeng Zhao, “Multi-agent probabilistic ensembles with trajectory sampling for connected autonomous vehicles,” IEEE Trans. Veh. Tech., vol. 73, no. 11, pp. 16076–16091, Nov. 2024. [Corresponding Author] [Codes]

  8. Yuntao Liu, Qian Huang, Rongpeng Li, Xianfu Chen, Zhifeng Zhao, Shuyuan Zhao, Yongdong Zhu, and Honggang Zhang, “Select2Col: Leveraging Spatial-Temporal Importance of Semantic Information for Efficient Collaborative Perception,” IEEE Trans. Veh. Tech., vol. 73, no. 9, pp. 12556–12569, Sep. 2024. [Corresponding Author] [Codes]

  9. Jianhang Zhu, Rongpeng Li, Xianfu Chen, Shiwen Mao, Jianjun Wu, and Zhifeng Zhao, “Semantics-enhanced temporal graph networks for content popularity prediction,” IEEE Trans. Mob. Comput., vol. 23, no. 8, pp. 8478–8492, Aug. 2024. [Corresponding Author] [Codes]

  10. Xingfu Yi, Rongpeng Li, Chenghui Peng, Fei Wang, Jianjun Wu, and Zhifeng Zhao, “RHFedMTL: Resource-Aware Hierarchical Federated Multi-Task Learning,” IEEE Internet Things J., vol. 11, no. 14, pp. 25227–25238, Jul. 2024. [Corresponding Author] [Codes]

  11. Zhilin Lu, Rongpeng Li, Xianfu Chen, Ekram Hossain, Zhifeng Zhao, and Honggang Zhang, “Semantics-empowered communication: A tutorial-cum-survey,” IEEE Commun. Surveys Tuts., vol. 26, no. 1, pp. 41–79, Mar. 2024. [Corresponding Author]

  12. Baidi Xiao, Rongpeng Li, Chenghui Pweng, Jianjun Wu, Zhifeng Zhao, and Honggang Zhang, “Stochastic graph neural network-based value decomposition for MARL in Internet of vehicles,” IEEE Trans. Veh. Tech., vol. 73, no. 2, pp. 1582–1596, Feb. 2024. [Corresponding Author]

  13. Xing Xu, Rongpeng Li, Zhifeng Zhao, and Honggang Zhang, “The gradient convergence bound of federated multi-agent reinforcement learning with efficient communication,” IEEE Trans. Wireless Commun., 2023, vol. 23, no. 1, pp. 507–528, Jan. 2024. [Corresponding Author]

  14. Yang Yang, Jianjun Wu, Tianjiao Chen, Jun Wang, Juan Deng, Xiaofeng Tao, Guangyi Liu, Wenjing Li, Li Yang, Yufeng He, Tingting Yang, A. Hamid Aghvami, Frank Eliassen, Schahram Dustdar, Dusit Niyato, Wanfei Sun, Yang Xu, Yannan Yuan, Jiang Xie, Rongpeng Li, and Cuiqin Dai, “Task-oriented 6G native-AI network architecture,” IEEE Network, vol. 38, no. 1, pp. 219-227, Jan. 2024.

  15. Fei Ni, Zhifeng Zhao, Rongpeng Li, and Honggang Zhang, “EEG signal-assisted algebraic topological feature-enhanced deep neural networks for gestalt illusory contour perception,” IEEE Access, vol. 11, pp. 96029–96042, Sep. 2023. [Corresponding Author]

  16. Yuntao Liu, Daoxun Li, Rongpeng Li, Zhifeng Zhao, Yongdong Zhu, and Honggang Zhang, “Secure and efficient stigmergy-empowered blockchain framework for heterogeneous collaborative services in the Internet of vehicles,” IEEE Commun. Mag., vol. 61, no. 9, pp. 186-192, Sep. 2023. [Corresponding Author] [Codes]

  17. Bingyan Wang, Rongpeng Li, Jianhang Zhu, Zhifeng Zhao, and Honggang Zhang, “Knowledge enhanced semantic communication receiver,” IEEE Commun. Lett., vol. 27, no. 7, pp. 1794–1798, Jul. 2023. [Corresponding Author] [Codes]

  18. Jianhang Zhu, Rongpeng Li, Guoru Ding, Chan Wang, Jianjun Wu, Zhifeng Zhao, and Honggang Zhang, “AoI-based temporal attention graph neural network for popularity prediction and content caching,” IEEE Trans. Cog. Commun. Netw., vol. 9, no. 2, pp. 345–358, Apr. 2023. [Corresponding Author] [Codes]

  19. Kun Lu, Qingyang Zhou, Rongpeng Li, Zhifeng Zhao, Xianfu Chen, Jianjun Wu, and Honggang Zhang, “Rethinking modern communication from semantic coding to semantic communication,” IEEE Wireless Commun., vol. 30, no. 1, pp. 158–164, Feb. 2023. [Corresponding Author] [Codes]

  20. Xing Xu, Rongpeng Li, Zhifeng Zhao, and Honggang Zhang, “Stigmergic independent reinforcement learning for multi-agent collaboration,” IEEE Trans. Neural Netw. Learn. Syst., vol. 33, no. 9, pp. 4285–4299, Sep. 2022. [Corresponding Author]

  21. Qingyang Zhou, Rongpeng Li, Zhifeng Zhao, Yong Xiao, and Honggang Zhang, “Adaptive bit rate control in semantic communication with incremental knowledge-based HARQ,” IEEE Open J. Commun. Soc., vol. 3, pp. 1076–1089, Jul. 2022. [Corresponding Author] [Codes]

  22. Xing Xu, Rongpeng Li, Zhifeng Zhao, and Honggang Zhang, “Trustable policy collaboration scheme for multi-agent stigmergic reinforcement learning,” IEEE Commun. Lett., vol. 26, no. 4, pp. 823–827, Apr. 2022. [Corresponding Author]

  23. Qingyang Zhou, Rongpeng Li, Zhifeng Zhao, Chenghui Peng, and Honggang Zhang, “Semantic communication with adaptive universal transformer,” IEEE Commun. Lett., vol. 11, no. 3, pp. 453–457, Mar. 2022. [Corresponding Author] [Codes]

  24. Minghao Chen, Rongpeng Li, Jon Crowcroft, Jianjun Wu, Zhifeng Zhao, and Honggang Zhang, “RAN information-assisted TCP congestion control using deep reinforcement learning with reward redistribution,” IEEE Trans. Commun., vol. 70, no. 1, pp. 215–230, Jan. 2022. [Corresponding Author]

  25. Syed Waqas Haider Shah, Rongpeng Li, M. Mahboob Ur Rahman, Adnan Noor Mian, Waqas Aman, and Jon Crowcroft, “Statistical QoS guarantees of a device-to-device link assisted by a full-duplex relay,” Trans. Emerg. Telecommun. Technol. (ETT), 2021, accepted.

  26. Chen Qi, Shibo Shen, Rongpeng Li, Qing Liu, Jing Liang, and Honggang Zhang, “An efficient pruning scheme of deep neural networks for Internet of things applications,” EURASIP J. Adv. Signal Process., 2021, accepted. [Corresponding Author]

  27. Zaisheng Liu, Fei Ni, Rongpeng Li, Honggang Zhang, Chang Liu, Jiefang Zhang, and Songyun Xie, “Persistent homology-based topological analysis on the gestalt patterns during human brain cognition process,” J. Healthcare Eng., vol. 2021, p. e2334332, Nov. 2021. [Corresponding Author]

  28. Yan Shao, Rongpeng Li, Bing Hu, Yingxiao Wu, Zhifeng Zhao, and Honggang Zhang, “Graph attention network-based multi-agent reinforcement learning for slicing resource management in dense cellular network,” IEEE Trans. Veh. Tech., vol. 70, no. 10, pp. 10792–10803, Oct. 2021. [Corresponding Author]

  29. Ying Chen, Rongpeng Li, Zhifeng Zhao, and Honggang Zhang, “On the capacity of fractal d2d social networks with hierarchical communications,” IEEE Trans. Mob. Comput., vol. 20, no. 6, pp. 2254–2268, Jun. 2021. [Corresponding Author]

  30. Jing Pan, Hangguan Shan, Rongpeng Li, Yingxiao Wu, Weihua Wua, and Tony Q. S. Quek, “Channel estimation based on deep learning in vehicle-to-everything environments,” IEEE Commun. Lett., vol. 25, no. 6, pp. 1891–1895, Jun. 2021.

  31. Gang Wang, Yi Zhong, Rongpeng Li, Xiaohu Ge, Tony Q. S. Quek, and Guoqiang Mao, “Effect of spatial and temporal traffic statistics on the performance of wireless networks,” IEEE Trans. Commun., vol. 68, no. 11, pp. 7083–7097, Nov. 2020.

  32. Rongpeng Li, Chujie Wang, Rongbin Guo, Zhifeng Zhao, and Honggang Zhang, “The LSTM-based advantage actor-critic learning for resource management in network slicing with user mobility,” IEEE Commun. Lett., vol. 24, no. 9, pp. 2005–2009, Sep. 2020. [Codes]

  33. Rongpeng Li, Zhifeng Zhao, Xing Xu, Fei Ni, and Honggang Zhang, “The collective advantage for advancing communications and intelligence,” IEEE Wirel. Commun., vol. 27, no. 4, pp. 96–102, Aug. 2020.

  34. Ying Chen, Rongpeng Li, Zhifeng Zhao, and Honggang Zhang, “Study on base station topology in national cellular networks: Take advantage of alpha shapes, betti numbers, and euler characteristics,” IEEE System Journal, vol. 14, no. 2, pp. 2202–2213, Jun. 2020. [Corresponding Author]

  35. Yan Shao, Zhifeng Zhao, Rongpeng Li, and Yugeng Zhou, “Target detection for multi-UAVs via digital pheromones and navigation algorithm in unknown environments,” Front. Inform. Technol. Electron. Eng., vol. 21, no. 5, pp. 796–808, May 2020.

  36. Yuxiu Hua, Rongpeng Li, Zhifeng Zhao, Honggang Zhang, and Xianfu Chen, “Gan-powered deep distributional reinforcement learning for resource management in network slicing,” IEEE J. Sel. Area. Commun., vol. 38, no. 2, pp. 334–349, Feb. 2020. [Corresponding Author] [Codes]

  37. Anna Dai, Zhifeng Zhao, Rongpeng Li, Honggang Zhang, and Yugeng Zhou, “Evaluation mechanism of collective intelligence for heterogeneous agents group,” IEEE Access, vol. 8, pp. 28385–28394, Feb. 2020. [Corresponding Author]

  38. Chen Qi, Yuxiu Hua, Rongpeng Li, Zhifeng Zhao, and Honggang Zhang, “Deep reinforcement learning with discrete normalized advantage functions for resource management in network slicing,” IEEE Communications Letters, vol. 23, no. 6, pp. 1337–1341, Aug. 2019. [Corresponding Author]

  39. Chujie Wang, Lin Ma, Rongpeng Li, T. S. Durrani, and Honggang Zhang, “Exploring trajectory prediction through machine learning methods,” IEEE Access, vol. 7, pp. 101441–101452, Jul. 2019. [Corresponding Author]

  40. Yuxiu Hua, Zhifeng Zhao, Rongpeng Li, Xianfu Chen, Zhiming Liu, and Honggang Zhang, “Deep learning with long short-term memory for time series prediction,” IEEE Commun. Mag., vol. 57, no. 6, pp. 114–119, Jun. 2019.

  41. Yifan Zhou, Zhifeng Zhao, Chen Qi, Rongpeng Li, Yves Louet, Jacques Palicot, and Honggang Zhang, “Multicast scheduling for delay-energy trade-off under bursty request arrivals in cellular networks,” IET Communications, vol. 13, no. 11, pp. 1696–1701, Apr. 2019.

  42. Xing Xu, Zhifeng Zhao, Rongpeng Li, and Honggang Zhang, “Brain-inspired stigmergy learning,” IEEE Access, vol. 7, pp. 54410–54424, Apr. 2019.

  43. Ying Chen, Rongpeng Li, Zhifeng Zhao, and Honggang Zhang, “Fundamentals on base stations in urban cellular networks: From the perspective of algebraic topology,” IEEE Wireless Commun. Lett., vol. 8, no. 2, pp. 612-615, Apr. 2019.

  44. Jiaqi Li, Zhifeng Zhao, Rongpeng Li, and Honggang Zhang, “AI-based two-stage intrusion detection for software defined IoT networks,” IEEE Internet Things J., vol. 6, no. 2, pp. 2093–2102, Apr. 2019.

  45. Rongpeng Li, Zhifeng Zhao, Yi Zhong, Chen Qi, and Honggang Zhang, “The stochastic geometry analyses of cellular networks with $\alpha$-stable self-similarity,” IEEE Trans. Commun., vol. 67, no. 3, pp. 2487 1. 2503, Mar. 2019.

  46. Rongpeng Li, Zhifeng Zhao, Rongpeng Li, Qi Sun, Chi-Lin I, Chenyang Yang, Xianfu Chen, Minjian Zhao, Honggang Zhang, “Deep reinforcement learning for resource management in network slicing,” IEEE Access, vol. 6, pp. 74429–74441, Nov. 2018.

  47. Rongpeng Li, Zhifeng Zhao, Chenyang Yang, Chunming Wu, and Honggang Zhang, “Wireless big data in cellular networks: The cornerstone of smart cities,” IET Commun., vol. 12, no. 13, pp. 1517 1. 1523, Aug 2018.

  48. Changju Kan, Guoru Ding, Qihui Wu, Rongpeng Li, and Fei Song, “Robust relative fingerprinting-based passive source localization via data cleansing,” IEEE Access, vol. 6, pp. 19255 1. 19269, Mar. 2018.

  49. Jiaqi Li, Zhifeng Zhao, Rongpeng Li, “Machine learning-based ids for software-defined 5G network,” IET Net., vol. 7, no. 2, pp. 53–60, Mar. 2018.

  50. Zhifeng Zhao, Meng Li, Rongpeng Li, and Yifan Zhou, “Temporal-spatial distribution nature of traffic and base stations in cellular networks,” IET Commun., vol. 11, no. 16, pp. 2410 – 2416, Nov. 2017. [Corresponding Author]

  51. Zhifeng Zhao, Feng Hong, and Rongpeng Li, “SDN based vxlan optimization in cloud computing networks,” IEEE Access, vol. 5, pp. 23312–23319, Oct. 2017. [Corresponding Author]

  52. Rongpeng Li, Zhifeng Zhao, Xuan Zhou, Guoru Ding, Yan Chen, Zhongyao Wang, and Honggang Zhang, “Intelligent 5G: When cellular networks meet artificial intelligence,” IEEE Wireless Commun., vol. 5, no. 24, pp. 175–183, Oct. 2017.

  53. Jiachen Sun, Liang Shen, Guoru Ding, Rongpeng Li, and Qihui Wu, “Predictability analysis of spectrum state evolution: Performance bounds and real-world data analytics,” IEEE Access, vol. 5, pp. 22760–22774, Oct. 2017.

  54. Yifan Zhou, Zhifeng Zhao, Rongpeng Li, Honggang Zhang, and Yves Louet, “Cooperation based probabilistic caching strategy in clustered cellular networks,” IEEE Commun. Lett., vol. 21, no. 9, pp. 2029–2032, Sep. 2017.

  55. Yuansheng Jin, Xiang-Gen Xia, Yan Chen, and Rongpeng Li, “Full duplex delay diversity relay transmission using bit-interleaved coded OFDM,” IEEE Trans. Commun., vol. 65, no. 8, pp. 3250–3258, Aug. 2017.

  56. Rongpeng Li, Zhifeng Zhao, Jianchao Zheng, Yueming Cai, Chengli Mei and Honggang Zhang, “The learning and prediction of application-level traffic data in cellular networks,” IEEE Trans. Wirel. Commun., vol. 16, no. 6, pp. 3899–3912, Jun. 2017.

  57. Rongpeng Li, Zhifeng Zhao, Honggang Zhang, and Xiaofeng Zhong, “The characteristics study of mobile instantaneous messaging traffic in cellular network,” SCIENTIA SINICA Informationis_vol. 47, no. 5, p. 637, May 2017.

  58. Rongpeng Li, Yan Chen, Ye Geoffrey Li, and Guangyi Liu, “Full-duplex cellular networks,” IEEE Commun. Mag., vol. 56, no. 4, pp. 184-191, Apr. 2017.

  59. Chao Yuan, Zhifeng Zhao, Rongpeng Li, Meng Li, Honggang Zhang, “The emergence of scaling law, fractal patterns and small-world in wireless networks,” IEEE Access, vol. 5, no. 1, pp. 3121-3130, Mar. 2017.

  60. Dingzhu Wen, Guanding Yu, Rongpeng Li, Yan Chen, and Ye Geoffrey Li, “Results on energy1. and spectral1. efficiency tradeoff in cellular networks with full-duplex enabled base stations,” IEEE Trans. Wireless Commun., vol. 16, no. 3, pp. 1494-1507, Mar. 2017.

  61. Xuan Zhou, Rongpeng Li, Tao Chen, and Honggang Zhang, “Network slicing as a service: Enable industries own software-defined cellular networks,” IEEE Commun. Mag., vol. 54, no. 7, pp. 146 1. 153, Jul. 2016.

  62. Jianchao Zheng, Honggang Zhang, Yueming Cai, Rongpeng Li, and Alagan Anpalagan, “Game-theoretic multi-channel multi-access in energy harvesting wireless sensor networks,” IEEE Sensors J., vol. 16, no. 11, pp. 4587 1. 4594, Apr. 2016.

  63. Yifan Zhou, Zhifeng Zhou, Yves Louet, Qianlan Ying, Rongpeng Li, Xuan Zhou, Xianfu Chen, Honggang Zhang, “Large-scale spatial distribution identification of base stations in cellular networks,” IEEE Access, vol 3, pp. 2987 1. 2999, Dec. 2015.

  64. Rongpeng Li, Zhifeng Zhao, Chen Qi, Xuan Zhou, Yifan Zhou, and Honggang Zhang, “Understanding the traffic nature of mobile instantaneous messaging in cellular networks: A revisiting to $\alpha$-stable models,” IEEE Access, vol. 3, pp. 1416-1422, Sep. 2015.

  65. Yifan Zhou, Rongpeng Li, Zhifeng Zhao, Xuan Zhou, and Honggang Zhang, “On the $\alpha$-stable distribution of base stations in cellular networks,” IEEE Commun. Lett., vol. 19, no. 10, pp. 1750-1753 , Aug. 2015.

  66. Guoru Ding, Jinlong Wang, Qihui Wu, Liang Shen, Yu-Dong Yao, Rongpeng Li, and Honggang Zhang, “On the limits of predictability in real-world radio spectrum state dynamics: From entropy theory to 5G spectrum sharing,” IEEE Commun. Mag., vol. 53, no. 7, pp. 178–183, Jul. 2015.

  67. Jianchao Zheng, Yueming Cai, Xianfu Chen, Rongpeng Li, and Honggang Zhang, “Optimal base station sleeping in green cellular networks: A distributed cooperative framework based on game theory,” IEEE Trans. Wireless Commun., vol. 14, no. 8, pp. 4391–4406, Aug. 2015.

  68. Xuan Zhou, Zhifeng Zhao, Rongpeng Li, Yifan Zhou, Tao Chen, Zhisheng Niu, and Honggang Zhang, “Towards 5G: When explosive bursts meet soft cloud,” IEEE Netw., vol. 28, no. 6, pp. 12–17, Nov. 2014.

  69. Rongpeng Li, Zhifeng Zhao, Yuan Zhang, Jacques Palicot, and Honggang Zhang, “Adaptive multi-task compressive sensing for localization in wireless lans,” IET Commun., vol. 8, no. 10, pp. 1736 – 1744, Jul. 2014.

  70. Rongpeng Li, Zhifeng Zhao, Xuan Zhou, Jacques Palicot, and Honggang Zhang, “The prediction analysis of cellular radio access networks traffic: From entropy theory to networking practice,” IEEE Commun. Mag., vol. 52, no. 6, pp. 238–244, Jun. 2014.

  71. Rongpeng Li, Zhifeng Zhao, Xianfu Chen, Jacques Palicot, and Honggang Zhang, “TACT: A transfer actor-critic learning framework for energy saving in cellular radio access networks,” IEEE Trans. Wireless Commun., vol. 13, no. 4, pp. 2000–2011, Apr. 2014.

  72. Rongpeng Li, Zhifeng Zhao, Xuan Zhou, and Honggang Zhang, “Energy savings scheme in radio access network via compressed sensing based traffic load prediction,” Trans. Emerg. Telecommun. Technol. (ETT), vol. 25, no. 4, pp. 468–478, Apr. 2014.

  73. Xuan Zhou, Zhifeng Zhao, Rongpeng Li, Yifan Zhou, Jacques Palicot and Honggang Zhang, “Understanding the nature of mobile instant messaging in cellular networks,” IEEE Commun. Lett., vol. 18, no. 3, pp. 389 – 392, Mar. 2014.

  74. Xuan Zhou, Zhifeng Zhao, Rongpeng Li, Yifan Zhou, Jacques Palicot and Honggang Zhang, “Human mobility patterns in cellular networks,” IEEE Commun. Lett., vol. 17, no. 10, pp. 1877-1880, Sep. 2013.

  75. Xin Tao, Zhifeng Zhao, Rongpeng Li, Jacques Palicot and Honggang Zhang, “Downlink interference minimization in cooperative cognitive LTE-femtocell networks,” EURASIP J. Wirel. Commun. Netw. (Special Issue on Cooperative Cognitive Networks), vol. 2013, no. 1, p. 194, Jul. 2013.

International Conference Papers

  1. Zhilin Lu, Rongpeng Li, Zhifeng Zhao, Jiahua Lu, Ming Lei, and Honggang Zhang, “Multiple gradient descent-based reinforcement learning for multi-task semantic broadcast communication,” in Proc. ACM Mobihoc 2024 (ASoI Workshop), Athens, Greece, Oct. 2024.

  2. Qinyu Wang, Chan Wang, Rongpeng Li, Hanyu Wei, and Minjian Zhao, “Continual MARL-assisted traffic-adaptive GC-MAC protocol for task-driven directional MANETs,” in Proc. IEEE VTC 2024-Fall, Washington, DC, USA, Oct. 2024.

  3. Xiaoxue Yu, Rongpeng Li, Fei Wang, Chenghui Peng, Chengchao Liang, Zhifeng Zhao, and Honggang Zhang, “Communication-efficient cooperative multi-agent PPO via regulated segment mixture in internet of vehicles,” in Proc. IEEE Globecom 2023, Kuala Lumpur, Malaysia, Dec. 2023.

  4. Sizhao Li, Yuming Xiang, Rongpeng Li, Zhifeng Zhao, and Honggang Zhang, “Imitation learning based alternative multi-agent proximal policy optimization for well-formed swarm-oriented pursuit avoidance,” in Proc. ICCC 2023, Chengdu, China, Dec. 2023.

  5. Yuming Xiang, Sizhao Li, Rongpeng Li, Zhifeng Zhao, and Honggang Zhang, “Decentralized adaptive formation via consensus-oriented multi-agent communication,” in Proc. WCSP 2023, Hangzhou, China, Nov. 2023.

  6. Siyu Tong, Xiaoxue Yu, Rongpen Li, K. Lu, Z. Zhao, and H. Zhang, “Alternate learning based sparse semantic communications for visual transmission,” in Proc. IEEE PIMRC 2023, Toronto, Canada, Sep. 2023. [Codes]

  7. Wei Geng, Baidi Xiao, Rongpeng Li, Ning Wei, Zhifeng Zhao, and Honggang Zhang, “Decomposition-based multi-agent distributional reinforcement learning for task-oriented UAV collaboration with noisy rewards,” in Proc. WCSP 2023, Hangzhou, China, Nov. 2023.

  8. Baidi Xiao, Rongpeng Li, Fei Wang, Chenghui Peng, Jianjun Wu, Zhifeng Zhao, and Honggang Zhang, “Stochastic graph neural network-based value decomposition for multi-agent reinforcement learning in urban traffic control,” in Proc. IEEE VTC 2023-Spring, Florence, Italy, Jun. 2023.

  9. Jianhang Zhu, Rongpeng Li, Xianfu Chen, Shiwen Mao, Jianjun Wu, and Zhifeng Zhao, “Semantics-enhanced temporal graph networks for content caching and energy saving,” in Proc. IEEE ICC 2023, Rome, Italy, Jun. 2023.

  10. Jiaolan Fang, Chan Wang, Rongpeng Li, Hanyu Wei, and Minjian Zhao, “Matrix factorization and deep autoencoder based clustering scheme for large-scale UAV networks,” in Proc. IEEE VTC 2023-Spring, Florence, Italy, Jun. 2023.

  11. Hanyu Wei, Chan Wang, Rongpeng Li, and Minjian Zhao, “Mean-field MARL-based priority-aware CSMA/CA strategy in large-scale manets,” in Proc. IEEE Globecom 2022, Rio de Janeiro, Brazil, Dec. 2022.

  12. Kun Lu, Rongpeng Li, and Honggang Zhang, “Contrastive monotonic pixel-level modulation,” in Proc. ECCV 2022, Tel-Aviv, Oct. 2022.

  13. Xingfu Yi, Rongpeng Li, Chenghui Peng, Jianjun Wu, and Zhifeng Zhao, “HFedMTL: Hierarchical federated multi-task learning,” in Proc. IEEE PIMRC 2022, Virtual Edition, Sep. 2022.

  14. Xing Xu, Rongpeng Li, Zhifeng Zhao, and Honggang Zhang, “Communication-efficient consensus mechanism for federated reinforcement learning,” presented at the IEEE ICC 2022, Seoul, South Korea, May 2022.

  15. Baidi Xiao, Yan Shao, Rongpeng Li, Zhifeng Zhao, and Honggang Zhang, “DEMO: Deep reinforcement learning for resource management in cellular network slicing,” in Proc.IEEE INFOCOM 2022, Virtual Edition, May 2022.

  16. Jianhang Zhu, Rongpeng Li, Zhifeng Zhao, and Honggang Zhang, “AoI-based temporal attention graph neural network for popularity prediction in ICN,” in Proc. IEEE WCNC 2022, Austin, TX, USA, Apr. 2022.

  17. Rongpeng Li, Wenliang Liang, Chenghui Peng, Xueli An, Zhifeng Zhao, and Honggang Zhang, “Network AI management & orchestration: A federated multi-task learning case,” presented at the IEEE Globecom 2021 (EL5GMNB Workshop), Madrid, Spain, Dec. 2021.

  18. Minghao Chen, Rongpeng Li, Zhifeng Zhao, and Honggang Zhang, “RAN information-assisted TCP congestion control via DRL with reward redistribution,” in Proc. IEEE ICC 2021 (DDINS Workshop), Montreal, QC, Canada, Jun. 2021.

  19. Yan Shao, Rongpeng Li, Zhifeng Zhao, Honggang Zhang, and Yugeng Zhou, “Graph attention network-based DRL for network slicing management in dense cellular networks,” in Proc. IEEE WCNC 2021, Nanjing, China, Apr. 2021.

  20. Shibo Shen, Rongpeng Li, Zhifeng Zhao, Honggang Zhang, and Yugeng Zhou, “Learning to prune in training via dynamic channel propagation,” in Proc. ICPR 2021, Milan, Italy, Jan. 2021.

  21. Shibo Shen, Rongpeng Li, Zhifeng Zhao, Qing Liu, Jing Liang, and Honggang Zhang, “Efficient deep structure learning for resource-limited IoT devices,” in Proc. IEEE Globecom 2020, Taipei, China, Dec. 2020.

  22. Bingying Su, Rongpeng Li, and Honggang Zhang, “Evolving deep convolutional neural network for intrusion detection based on NEAT,” in Proc. WPMC 2020, Virutal Edition, Oct. 2020.

  23. Anna Dai, Rongpeng Li, Zhifeng Zhao, and Honggang Zhang, “Graph convolutional multi-agent reinforcement learning for uav coverage control,” in Proc. WCSP 2020, Nanjing, China, Oct. 2020.

  24. Kun Chen, Rongpeng Li, Zhifeng Zhao, and Honggang Zhang, “The implementation of asynchronous advantage actor-critic with stigmergy in network-assisted multi-agent system,” in Proc. WCSP 2020, Nanjing, China, Oct. 2020.

  25. Kun Chen, Rongpeng Li, Zhifeng Zhao, Jon Crowcroft, Zhifeng Zhao, and Honggang Zhang, “DEMO: The implementation of stigmergy in network-assisted multi-agent system,” in Proc. ACM Mobicom 2020 (Demos Session), Los Cabos, Mexico, Sep. 2020.

  26. Yuxiu Hua, Rongpeng Li, Zhifeng Zhao, Honggang Zhang, and Xianfu Chen, “GAN-based deep distributional reinforcement learning for resource management in network slicing,” in Proc. IEEE Globecom 2019, Big Island, Hawaii, USA, Dec. 2019.

  27. Chujie Wang, Rongpeng Li, Zhifeng Zhao, and Honggang Zhang, “Statistics-enhanced destination prediction model for multi-users based on deep learning,” in Proc. IEEE ICCT 2019, Xi’an, China, Oct. 2019.

  28. Shasha Zhang, Fan Yang, Shuyu Song, Rongpeng Li, Zhifeng Zhao, and Honggang Zhang, “The design and implementation of intelligent software defined security framework,” in Proc. ACM Mobicom 2019 (Demos Session), Los Cabos, Mexico, Oct. 2019.

  29. Fan Yang, Shuyu Song, Shasha Zhang, Rongpeng Li, Zhifeng Zhao, and Honggang Zhang, “A testbed for intelligent software defined security framework,” in ACM SigMobile China, Chengdu, China, May 2019.

  30. Lu Han, Zhifeng Zhao, Rongpeng Li, and Honggang Zhang, “Evaluation of LTP-based DTN for deep space communication,” in Proc. ICITEE 2018, Guanzhou, China, Dec. 2018.

  31. Yuxiu Hua, Zhifeng Zhao, Zhiming Liu, Xianfu Chen, Rongpeng Li, and Honggang Zhang, “Traffic prediction based on random connectivity in deep learning with long short-term memory,” in Proc. IEEE VTC 2018 Fall, Chicago, Illinois, USA, Aug. 2018.

  32. Ying Chen, Rongpeng Li, Zhifeng Zhao and Honggang Zhang, “On the capacity of D2D social networks with fractal communications,” in Proc. ICT 2018, St. Malo, France, Aug. 2018.

  33. Xing Xu, Zhifeng Zhao, Rongpeng Li, and Honggang Zhang, “A resource scheduling scheme based on utility function in CoMP environment,” in Proc. WCSP 2017, Nanjing, China, Oct. 2017.

  34. Xiangjun Meng, Zhifeng Zhao, Rongpeng Li, and Honggang Zhang, “An intelligent honeynet architecture based on software defined security,” in Proc. WCSP 2017, Nanjing, China, Oct. 2017.

  35. Haixia Wang, Rongpeng Li, Lu Fan, and Honggang Zhang, “Joint computation offloading and data caching with delay optimization in mobile-edge computing systems,” in Proc. WCSP 2017, Nanjing, China, Oct. 2017. (Best paper award)

  36. Chao Yuan, Zhifeng Zhao, Rongpeng Li, Meng Li, and Honggang Zhang, “On the emerging of scaling law, fractality and small-world in cellular networks,” in Proc. IEEE VTC 2017-Spring, Sydney, Australia, Jun. 2017.

  37. Lu Fan, Zhifeng Zhao, Chen Qi, Rongpeng Li, and Honggang Zhang, “A revisiting to queueing theory for mobile instant messaging with keep-alive mechanism in cellular networks,” in Proc. IEEE ICC 2017, Paris, France, May 2017.

  38. Rongpeng Li, Wei Quan, Yan Chen, and Yiqun Wu, “A tomography of full-duplex cellular networks,” in Proc. IEEE VTC 2017-Spring, Sydney, Australia, Jun. 2017.

  39. Dingzhu Wen, Guanding Yu, Rongpeng Li, Yan Chen, and Ye Geoffrey Li, “Energy1. and spectral1. efficiency tradeoff in full-duplex communications,” in Proc. IEEE Globecom 2016 (FD Workshop), Washington, USA, Dec. 2016.

  40. Rongpeng Li, Yan Chen, and Yiqun Wu, “Binary power control for full-duplex networks,” in Proc. IEEE PIMRC 2016, Valencia, Spain, Sep. 2016.

  41. Chen Qi, Zhifeng Zhao, Rongpeng Li, and Honggang Zhang, “Characterizing and modeling social mobile data traffic in cellular networks,” in Proc. IEEE VTC 2016-Spring,, Najing, China, May 2016.

  42. Xianzhong Sui, Zhifeng Zhao, Rongpeng Li, and Honggang Zhang, “Energy efficiency analysis of heterogeneous cellular networks with downlink and uplink decoupling,” in Proc. IEEE Globecom 2015, San Diego, CA, USA, Dec. 2015.

  43. Jianchao Zheng, Yueming Cai, Xianfu Chen, Rongpeng Li, and Honggang Zhang, “A game-theoretic approach for optimal base station sleeping in green cellular networks,” in Proc. WCSP 2014, Hefei, China, Oct. 2014.

  44. Qianlan Ying, Zhifeng Zhao, Yifan Zhou, Rongpeng Li, Xuan Zhou and Honggang Zhang, “Characterizing spatial patterns of base stations in cellular networks,” in Proc. IEEE ICCC, Shanghai, China, Oct. 2014.

  45. Yifan Zhou, Zhifeng Zhao, Qianlan Ying, Rongpeng Li, Xuan Zhou, and Honggang Zhang, “Two-tier spatial modeling of base stations in cellular networks,” in Proc. IEEE PIMRC 2014, Washington, DC, USA, Sep. 2014.

  46. Xuan Zhou, Zhifeng Zhao, Rongpeng Li, Yifan Zhou, and Honggang Zhang, “Service-oriented cross-layer management for software-defined cellular networks,” in Proc. IEEE PIMRC 2014, Washington, DC, USA, Sep. 2014.

  47. Rongpeng Li, Zhifeng Zhao, Xianfu Chen,Yves Louet, and Honggang Zhang, “Intelligent base station management in greener traffic-aware cellular networks,” in URSI General Assembly and Scientific Symposium (GASS), Beijing, China, Aug. 2014.

  48. Gang Wang, Zhifeng Zhao, Jialiang Peng, Rongpeng Li, and Honggang Zhang, “An approximate algorithm of configurating controllers in multi-domain SDN architecture,” in Proc. Chinacom 2014, Maoming, China, Aug. 2014.

  49. Jianxiong Jin, Zhifeng Zhao, Rongpeng Li, and Honggang Zhang, “Compressive sensing based overhead reduction scheme in multi-antenna downlink management,” in Proc. WCSP 2013 2014, Hangzhou, China, Oct. 2013.

  50. Xin Tao, Zhifeng Zhao, Rongpeng Li, Jacques Palicot and Honggang Zhang, “Downlink interference minimization in cognitive LTE-femtocell networks,” in Proc. IEEE ICCC 2013, Xi’an, China, Aug. 2013.

  51. Xuan Zhou, Zhifeng Zhao, Rongpeng Li, Yifan Zhou, and Honggang Zhang, “The predicitability of cellular networks traffic,” in Proc. IEEE ISCIT 2012, Gold Coast, Australia, Oct. 2012.

  52. Rongpeng Li, Zhifeng Zhao, Xianfu Chen, and Honggang Zhang, “Energy saving through a learning framework in greener cellular radio access networks,” in Proc. IEEE Globecom 2012, Anaheim, California, USA, Dec. 2012.

  53. Qian Wen, Zhifeng Zhao, Rongpeng Li, and Honggang Zhang, “Spatial-temporal compressed sensing based traffic prediction in cellular networks,” in Proc. IEEE ICCC 2012 (SGCNet Workshop), Beijing, China, Aug. 2012. (Invited paper)

  54. Rongpeng Li, Zhifeng Zhao, Yan Wei, Xuan Zhou, and Honggang Zhang, “GM-PAB: A grid-based energy saving scheme with predicted traffic load guidance for cellular networks,” in Proc. Proc. IEEE ICC 2012, Ottawa, Canada, June 2012.

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