ITP Lab 2025 Annual Report

This year, the ITP Lab has continued to demonstrate its strong commitment to research excellence and international engagement. We are pleased to report several notable achievements that reflect the lab’s sustained impact and growing global presence.

First, we are delighted to announce that our paper, “Preconditioned Inexact Stochastic ADMM for Deep Model,” has been accepted by Nature Machine Intelligence. In addition, Prof. Li received the 2025 IEEE Communications Society Best Tutorial Paper Award for his co-authored work, “Reconfigurable Intelligent Surfaces for Wireless Communications: Principles, Challenges, and Opportunities,” published in IEEE Transactions on Cognitive Communications and Networking in September 2020. Furthermore, the book Wireless Communications and Machine Learning, co-authored by Prof. Li, has been successfully published by the Cambridge University Press.

Second, the ITP Lab continued to play a leading role in organizing high-profile international academic events. In July 2025, we successfully co-organized the 2025 IEEE Workshop on Signal Processing and Artificial Intelligence for Wireless Communications (SPAWC 2025) in Surrey, United Kingdom. Prof. Li served as a General Co-Chair, while Dr. Shixiong Wang contributed as the Public Relations Chair and Technical Program Committee Assistant.

Third, the ITP Lab maintained strong research productivity, with 11 first-authored papers [1]-[11] and 15 co-authored papers published in leading journals, including IEEE Transactions on Signal Processing, IEEE Transactions on Communications, IEEE Communications Magazine, IEEE Communications Letters, Nature Machine Intelligence, and Mathematics of Operations Research. In addition, the lab presented 2 first-authored papers [12], [13] and 1 co-authored paper at major international conferences, including IEEE INFOCOM 2025, ICASSP 2025, and ICC 2025. Several first-authored preprints were also released on arXiv [14]-[19].

Fourth, the laboratory hosted two distinguished scholars for academic visits and seminars: Prof. Chenhao Qi from Southeast University and Prof. Jiangzhou Wang from Southeast University and the University of Kent. These visits further strengthened academic exchange and fostered new opportunities for collaboration.

Fifth, the ITP Lab welcomed five visiting students who have contributed to and benefited from its dynamic research environment: Mr. Zijian Cao (Southeast University, November 2024-November 2025), Miss Zixin Zhao (Sun Yat-sen University, July 2025-August 2025), Miss Yiqun Zhao (Academy of Mathematics and Systems Science, Chinese Academy of Sciences, December 2025-March 2026), and Mr. Chi-Wei Chen (National Taiwan University, May 2025-Jan 2026).

As the year draws to a close, the ITP Lab reflects with pride on its collective accomplishments and sustained momentum. With a strong foundation in signal processing and machine learning for wireless communications, the lab remains firmly committed to advancing frontier research and fostering impactful innovation in the years ahead.

A detailed Lab Annual Report can be found in ITP Lab 2025 Annual Report.

Reference List:

[1] Shenglong Zhou, Lili Pan, Naihua Xiu, and Geoffrey Ye Li. "A 0/1 constrained optimization solving sample average approximation for chance constrained programming." Mathematics of Operations Research 50, no. 4 (2025): 2688-2716.

[2] Ouya Wang, Shenglong Zhou, and Geoffrey Ye Li. "Frameworks on Few-Shot Learning with Applications in Wireless Communication." IEEE Transactions on Signal Processing (2025).

[3] Zijian Cao, Hua Zhang, Le Liang, Jipeng Gan, Shi Jin, and Geoffrey Ye Li. "Physical-Layer Secure Transmission for Semantic Communication Systems." IEEE Transactions on Communications (2025).

[4] Shan Sha, Shenglong Zhou, Lingchen Kong, and Geoffrey Ye Li. "Sparse Decentralized Federated Learning." IEEE Transactions on Signal Processing (2025).

[5] Shixiong Wang, Wei Dai, Jianyong Sun, Zongben Xu, and Geoffrey Ye Li. "Uncertainty awareness in wireless communications and sensing." IEEE Communications Magazine (2025).

[6] Ouya Wang, Hengtao He, Shenglong Zhou, Zhi Ding, Shi Jin, Khaled B. Letaief, and Geoffrey Ye Li. "Fast adaptation for deep learning-based wireless communications." IEEE Communications Magazine (2025).

[7] Shixiong Wang, Wei Dai, and Geoffrey Ye Li. "Distributionally Robust Adaptive Beamforming." IEEE Transactions on Signal Processing (2025).

[8] Zhenzi Weng, Zhijin Qin, and Geoffrey Ye Li. "Large Model Empowered Streaming Speech Semantic Communications." IEEE Wireless Communications Letters (2025).

[9] Shixiong Wang, Wei Dai, and Geoffrey Ye Li. "Distributionally robust receive combining." IEEE Transactions on Signal Processing (2025).

[10] Zijian Cao, Hua Zhang, Le Liang, Haotian Wang, Shi Jin, and Geoffrey Ye Li. "Task-Oriented Semantic Communication for Stereo-Vision 3D Object Detection." IEEE Transactions on Communications (2025).

[11] Jingzhi Hu, and Geoffrey Ye Li. "Distillation-Enabled Knowledge Alignment Protocol for Semantic Communication in AI Agent Networks." IEEE Communications Letters (2025).

[12] Tianxin Wang, Xudong Wang, and Geoffrey Ye Li. "GraphRx: Graph-Based Collaborative Learning Among Multiple Cells for Uplink Neural Receivers." In IEEE INFOCOM 2025-IEEE Conference on Computer Communications, pp. 1-10. IEEE, 2025.

[13] Zhenzi Weng, Zhijin Qin, and Geoffrey Ye Li. "Robust semantic communications for speech transmission." In ICASSP 2025-2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 1-5. IEEE, 2025.

[14] Shixiong Wang, Wei Dai, and Geoffrey Ye Li. "A New Particle Filter for Target Tracking in MIMO OFDM Integrated Sensing and Communications." arXiv preprint arXiv:2512.09098 (2025).

[15] Shixiong Wang, Wei Dai, Li-Chun Wang and Geoffrey Ye Li. "Robust Processing and Learning: Principles, Methods, and Wireless Applications." (to be on arXiv soon) (2025).

[16] Jingzhi Hu, and Geoffrey Ye Li. "Distillation-Enabled Knowledge Alignment for Generative Semantic Communications in AIGC Provisioning Tasks." arXiv preprint arXiv:2506.19893 (2025).

[17] Kaidi Xu, Shenglong Zhou, and Geoffrey Ye Li. "Neural Collapse based Deep Supervised Federated Learning for Signal Detection in OFDM Systems." arXiv preprint arXiv:2506.19476 (2025).

[18] Yanzhen Liu, Zhijin Qin, Yongxu Zhu, and Geoffrey Ye Li. "SpikACom: A Neuromorphic Computing Framework for Green Communications." arXiv preprint arXiv:2502.17168 (2025).

[19] Yi-Qun Zhao, Zhi-Ming Ma, Geoffrey Ye Li, Shuai Yuan, Tong Ye, and Chuan Zhou. "Semantic Rate-Distortion Theory with Applications." arXiv preprint arXiv:2509.10061 (2025).