Dr. Song S.H.

Shenghui Song

Assistant Professor

Division of Integrative Systems and Design

Department of Electronic and Computer Engineering

The Hong Kong University of Science and Technology

Office: Room 6532

Tel: 2358 5033

Fax: 2358 1485

Email: shsong at ieee dot org

Dr. S.H. Song is now an Assistant Professor jointly appointed by the Division of Integrative Systems and Design (ISD) and the Department of Electronic and Computer Engineering (ECE) at the Hong Kong University of Science and Technology (HKUST). His research is primarily in the areas of Wireless Communications and Machine Learning with current focus on Distributed Intelligence, Semantic Communications, Machine Learning for Communications, Integrated Sensing and Communication, and Information Theory. He was named the Exemplary Reviewer for IEEE Communications Letter. He served as the Tutorial Program Co-Chairs of the 2022 IEEE International Mediterranean Conference on Communications and Networking, and the Technical Program Chairs, International Conference on 6G Communications Networking and Signal Processing, 2023 and 2024.

Dr. Song is also interested in the research on Engineering Education and served as an Associate Editor for the IEEE Transactions on Education. He has won several teaching awards at HKUST, including the Michael G. Gale Medal for Distinguished Teaching (Top teaching award at HKUST, one awardee per year) in 2018, the Best Ten Lecturers in 2013, 2015, and 2017, the School of Engineering Distinguished Teaching Award in 2012, the Teachers I Like Award in 2013, 2015, 2016, and 2017, and the MSc(Telecom) Teaching Excellent Appreciation Award for 2020-21 and 2022-23. Dr. Song was one of the honorees of the Third Faculty Recognition at HKUST in 2021.

PostDoc and PhD positions available in the following areas:

1. Distributed Intelligence

2. Semantic Communications

3. LLM for Networking

4. Integrated Sensing and Communication

5. Information Theory

6. General Wireless Communications: Holographic MIMO, IRS, etc.

We are looking for candidates with very strong interests in mathematics and their applications in Machine Learning and Communications. Our group members include:

* Gold Medal, International Physics Olympiad;

* First/Third Prize, China Mathematics Olympiad;

* Third Prize, Chinese Chemistry Olympiad.

If you have one of these awards, do not worry about your GPA, : )

Teaching:

1. ISDN2601, Mechatronic Systems Design with Embedded Computing, Spring 2022~23.

2. ISDN2602, Internet of Things: From Component Skills to System Integration, Fall 2020~22, Spring 2021, 2024.

3. ISDN3150, AI for Design, Fall 2024.

4. EESM5536, Digital Communications, Fall 2013~2023.

5. EESM5546, Wireless Communication Systems, Spring 2024.

6. ELEC1100, Introduction to Electro-Robot Design, Summer 2014, Spring 2013~2020.

7. ELEC1200.1x/2x/3x, A System View of Communications from Signals to Packets, Edx.

8. ELEC2400, Electronic Circuits (Basic Electronics), Fall 2012 ~ 2013.

9. ELEC2600, Probability and Random Processes in Engineering, Fall 2010 ~ 2019.

10. ELEC3100, Signal Processing and Communications, Spring 2011 ~ 2012.

11. ENGG1200, Engineering Team Airship Design, Spring & Fall 2014~2018.

12. ENGG2990I, Engineering Approach for Airship Design, Winter 2017, Summer 2017.

Teaching Innovation:

As an educator, Dr. Song

1. Launched one of HKUST`s pioneering and first MOOCs which broadened access to quality education and attracted thousands of participants along with high ratings for the courses content and interactive aspects.

2. Actively engaged in experiential learning which resulted in a rich curriculum in both theory and practical application and prepared students for successful careers. Experimental and experiential learning is also evident in his active engagement with students in hands-on laboratory activities and the supervision of undergraduate student projects

3. Actively participated in initiatives aimed at promoting diversity and inclusion within academia, as well as mentoring underrepresented students.

4. Highly engaged in lab activities and supervising student projects to foster a collaborative academic environment that encourages creativity.

5. Highly engaged in initiatives that promote problem-solving skills, critical thinking, and a passion for lifelong learning, which are essential for student future careers within our rapidly evolving field.

6. Collaborated with industry partners on research initiatives, which not only enriches the practical relevance of his work but also offers students essential insights into the professional world.

For more details, please refer to Teaching, Learning, and Service.

Selected Recent Research Works:

I. Machine Learning

Dr. Song has been working on distributed intelligence, particularly federated learning. His research covers various areas of federated learning, addressing data heterogeneity, client heterogeneity, and communication bottleneck issues for distributed intelligence.

1. H.M. Kwan and S.H. Song, ``SSBNet: Improve visual recognition efficiency by adaptive sampling,`` ECCV 2022.

2. Z. Xie and S.H. Song, ``FedKL: Tackling data heterogeneity in federated reinforcement learning by penalizing KL divergence,`` IEEE Journal on Selected Areas in Communications, vol. 41, no. 4, pp. 1227-1242, April 2023.

3. L. Liu, J. Zhang, S.H. Song, and K.B. Letaief, ``Hierarchical federated learning with quantization: Convergence analysis and system design,`` IEEE Transactions on Wireless Communications, vol. 22, no. 1, Jan. 2023.

4. L. Qu, Y. Mao, S.H. Song, and C.Y. Tsui, ``Energy-Efficient Channel Decoding for Wireless Federated Learning: Convergence Analysis and Adaptive Design,`` IEEE Transactions on Wireless Communications, vol. 23, no. 11, Nov. 2024.

5. G. W. M. Dunda and S.H. Song, ``Fairness-aware Federated Minimax Optimization with Convergence Guarantee,`` arXiv:2307.04417, IEEE CAI 2024.

6. L. Pan and S.H. Song, ``Local SGD Accelerates Convergence by Exploiting Second Order Information of the Loss Function,`` arXiv:2305.15013.

7. Z. Xie and S.H. Song,``Client Selection for Federated Policy Optimization with Environment Heterogeneity,`` arXiv:2305.10978.

8. H.M. Kwan and S.H. Song, ``FedSDD: Scalable and Diversity-enhanced Distillation for Model Aggregation in Federated Learning,`` arXiv:2312.17029.

II. Information Theory

Dr. Song has been working on Information Theory. His recent works tackle critical challenges in large-scale MIMO systems, IRS-aided MIMO systems, and secrecy analysis in wireless communications. His works explored the fundamental limits of various MIMO channels utilizing innovative methodologies for mutual information analysis.

1. X. Zhang, D. Xu, J. Wang, S.H. Song, D.W.K. Ng, and M. Debbah, ``Fluid Antenna Meets RIS: Random Matrix Analysis and Two-Timescale Design for Multi-User Communications,`` submitted to IEEE Journal on Selected Areas in Communications.

2. X. Zhang, D. Xu, S.H. Song, and M. Debbah, ``Fundamental Limits of Optical Fiber MIMO Channels With Finite Blocklength,`` submitted to IEEE Journal on Selected Areas in Communications.

3. Z. Zhuang, X. Zhang, D. Xu, and S.H. Song, ``Fundamental Limits of Two-Hop MIMO Channels: An Asymptotic Approach,`` to appear IEEE Transactions on Information Theory.

4. X. Zhang, S.H. Song, and K. B. Letaief, ``Fundamental Limits of Non-Centered Non-Separable Channels and Their Application in Holographic MIMO Communications,`` to appear IEEE Transactions on Information Theory.

5. Z. Zhuang, X. Zhang, D. Xu, S.H. Song, and Y. C. Eldar, ``Decentralized MIMO Systems with Imperfect CSI using LMMSE Receivers,`` to appear IEEE J. Sel. Topics Signal Process.

6. X. Zhang and S.H. Song, ``Mutual Information Density of Massive MIMO Systems over Rayleigh-Product Channels,`` to appear IEEE Transactions on Communications.

7. X. Zhang and S.H. Song, ``Secrecy analysis for IRS-aided wiretap MIMO communications: Fundamental limits and system design,`` IEEE Transactions on Information Theory, vol. 70, no. 6, pp. 4140 - 4159, June 2024.

8. X. Zhang and S.H. Song, ``Asymptotic mutual information analysis for double-scattering MIMO channels: A new approach by Gaussian tools,`` IEEE Transactions on Information Theory, vol. 69, no. 9, pp. 5497 - 5527, Sept. 2023.

9. X. Zhang and S.H. Song, ``Bias for the trace of the resolvent and its application on non-Gaussian and non-centered MIMO channels,`` IEEE Transactions on Information Theory, vol. 68, no. 5, May 2022.

10. X. Zhang, X. Yu, and S.H. Song, ``Outage and finite-SNR DMT analysis for IRS-aided MIMO systems: How large IRSs need to be?`` IEEE J. Sel. Topics Signal Process., vol. 16, no. 5, pp. 1070-1085, Aug. 2022.

III. Integrated Sensing and Communication

Dr. Song has made contributions to the field of Integrated Sensing and Communication (ISAC). His recent publications address innovative solutions to critical challenges such as collaborative sensing and interference management between sensing and communication. His collaborative efforts in network-level ISAC and the optimization of sensing mutual information bridge key gaps between sensing and communication metrics.

1. Y. Xu, M. Zheng, D. Xu, S.H. Song and D. B. da Costa, ``Sensing-aided Near-Field Secure Communications with Mobile Eavesdroppers,`` submitted to IEEE Transactions on Wireless Communications.

2. Y. Xu, D. Xu, and S.H. Song, ``Sensing-assisted Robust SWIPT for Mobile Energy Harvesting Receivers`` to appear IEEE Transactions on Wireless Communications.

3. D. Xu, Y. Xu, X. Zhang, X. Yu, S.H. Song, and R. Schober, ``Interference Mitigation for Network-Level ISAC: An Optimization Perspective,`` IEEE Communications Magazine, Sept. 2024.

4. L. Xie, F. Liu, J. Luo, and S.H Song, ``Sensing Mutual Information with Random Signals in Gaussian Channels: Bridging Sensing and Communication Metrics,`` submitted to IEEE Transactions on Signal Processing.

5. L. Xie, S. H. Song, and Y. C. Eldar, ``Model-Driven Sensing-Node Selection and Power Allocation for Tracking Maneuvering Targets in Perceptive Mobile Networks,`` submitted to IEEE J. Sel. Topics Signal Process.

6. L. Xie, S.H. Song, and K. B. Letaief, ``Networked sensing with AI-empowered interference management: Exploiting macro-diversity and array gain in perceptive mobile networks,`` IEEE Journal on Selected Areas in Communications, vol. 41, no. 12, Dec. 2023.

7. L. Xie, S.H. Song, Yonina C. Eldar, and K. B. Letaief, ``Collaborative sensing in perceptive mobile networks: opportunities and challenges,`` IEEE Wireless Communications, vol. 30, no. 1, Feb. 2023.

8. L. Xie, P. Wang, S.H. Song, K. B. Letaief, ``Perceptive mobile network with distributed target monitoring terminals: Leaking communication energy for sensing,`` IEEE Transactions on Wireless Communications, vol. 21, no. 12, Dec. 2022.

IV. Machine Learning for Communications and Signal Processing

Dr. Song has made contributions to the application of machine learning in communication and signal processing. His recent works consider Bayes-optimal unsupervised learning for channel estimation and deep reinforcement learning for network slicing optimization. His integration of adaptive deep learning frameworks with graph neural networks underscores his commitment to advancing the field.

1. W. Yu, H. He, X. Yu, S.H. Song, J. Zhang, R. D. Murch, and K. B. Letaief, ``Bayes-Optimal Unsupervised Learning for Channel Estimation in Near-Field Holographic MIMO,`` to appear IEEE J. Sel. Topics Signal Process.

2. L. Xie, S.H. Song, and K. B. Letaief, ``Networked sensing with AI-empowered interference management: Exploiting macro-diversity and array gain in perceptive mobile networks,`` IEEE Journal on Selected Areas in Communications, vol. 41, no. 12, Dec. 2023.

3. W. Yu, Y. Shen, H. He, X. Yu, S.H. Song, J. Zhang, and K. B. Letaief, ``An Adaptive and Robust Deep Learning Framework for THz Ultra-Massive MIMO Channel Estimation,`` to appear IEEE J. Sel. Topics Signal Process.

4. H. He, X. Yu, J. Zhang, S.H. Song, and K. B. Letaief, ``Message Passing Meets Graph Neural Networks: A New Paradigm for Massive MIMO Systems,`` IEEE Transactions on Wireless Communications, vol. 23, no. 5, May 2024.

5. H. Tu, L. Zhao, Y. Zhang, G. Zheng, C. Feng, S.H. Song, and K. Liang, ``Deep Reinforcement Learning for Optimization of RAN Slicing Relying on Control- and User-Plane Separation,`` IEEE Internet of Things Journal, vol. 11, no. 5, Mar. 1, 2024.

6. G. Zhou, L. Zhao, G. Zheng, S.H. Song, J. Zhang, and L. Hanzo, ``Multi-objective Optimization of Space-Air-Ground Integrated Network Slicing Relying on a Pair of Central and Distributed Learning Algorithms,`` IEEE Internet of Things Journal, vol. 11, no. 5, Mar. 1, 2024.

7. G. Zhou, L. Zhao, G. Zheng, Z. Xie, S.H. Song, and K.-C. Chen, ``Joint multi-objective optimization for radio access network slicing using multi-agent deep reinforcement learning,`` IEEE Transactions on Vehicular Technology, vol. 72, no. 9, Sept. 2023.

8. Y Shen, J Zhang, S.H. Song, and K. B. Letaief, ``Graph Neural Networks for Wireless Communications: From Theory to Practice,`` IEEE Transactions on Wireless Communications, vol. 22, no. 5, pp. 3554-3569, May 2023.

9. Y. Wang, L. Zhao, X. Chu, S.H. Song, Y. Deng, A. Nallanathan and K. Liang, ``Deep reinforcement learning-based optimization for end-to-end network slicing with control- and user-plane separation,`` IEEE Transactions on Vehicular Technology, vol. 71, no. 11, Nov. 2022.

10. Y. Ma, Y. She, X. Yu, J. Zhang, S.H. Song, and K.B. Letaief, ``Learn to communicate with neural calibration: Scalability and generalization,`` IEEE Transactions on Wireless Communications, vol. 21, no. 11, Nov. 2022.

V. Semantic Communications

Dr. Song has been working on Semantic Communications, and his works focus on joint source-channel coding and task-oriented communication. By utilizing the information bottleneck framework, his work tackles the distribution shift issues in task-oriented communication.

1. H. Li, H. Zhao, H. He, S.H. Song, J. Zhang, and K. B. Letaief, ``Remote Training in Task-Oriented Communication: Supervised or Self-Supervised with Fine-Tuning?,`` to appear IEEE ICC 2025.

2. H. Li, J. Shao, H. He, S.H. Song, J. Zhang, and K. B. Letaief, ``Tackling Distribution Shifts in Task-Oriented Communication With Information Bottleneck,`` to appear IEEE Journal on Selected Areas in Communications.

3. H. Li, W. Yu, H. He, J. Shao, S.H. Song, J. Zhang and K. B. Letaief, ``Task-Oriented Communication with Out-of-Distribution Detection: An Information Bottleneck Framework,`` Proc. IEEE Global Commun. Conf., Dec. 2023.

4. S. Xie, H. He, H. Li, S.H. Song, J. Zhang, Y. J. Zhang, and K. B. Letaief, ``Deep Learning-Based Adaptive Joint Source-Channel Coding using Hypernetworks,`` MeditCom 2024.

Journal Publications:

Copyright Notice: Personal use of the material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.

1. K. Fung, K. Fung, R. Lui, K. Sin, L. Lee, H. Qu and S.H. Song, ``Motivating Students with Different Needs to Learn Chinese in a Mixed-Background Classroom by Robot-Assisted Learning,`` to appear IEEE Transactions on Learning Technologies.

2. Z. Zhuang, X. Zhang, D. Xu, and S.H. Song, ``Fundamental Limits of Two-Hop MIMO Channels: An Asymptotic Approach,`` to appear IEEE Transactions on Information Theory.

3. X. Zhang, S.H. Song, and K. B. Letaief, ``Fundamental Limits of Non-Centered Non-Separable Channels and Their Application in Holographic MIMO Communications,`` to appear IEEE Transactions on Information Theory.

4. Y. Wang, L. Zhao, X. Chu, S.H. Song, Y. Deng, A. Nallanathan, and G Zhou, ``Two-timescale Optimization for E2E Network Slicing-aided Cloud-edge Collaborative Networks,`` to appear IEEE Transactions on Vehicular Technology.

5. Z. Zhuang, X. Zhang, D. Xu, S.H. Song, and Y. C. Eldar, ``Decentralized MIMO Systems with Imperfect CSI using LMMSE Receivers,`` to appear IEEE J. Sel. Topics Signal Process.

6. H. Li, J. Shao, H. He, S.H. Song, J. Zhang, and K. B. Letaief, ``Tackling Distribution Shifts in Task-Oriented Communication With Information Bottleneck,`` to appear IEEE Journal on Selected Areas in Communications.

7. Y. Ma, H. He, S.H. Song, J. Zhang, K. B. Letaief, ``Low-Complexity CSI Feedback for FDD Massive MIMO Systems via Learning to Optimize,`` to appear IEEE Transactions on Wireless Communications.

8. K. Fung, K. Fung, L. Lee, R. Lui, H. Qu, S.H. Song, and K. Sin, ``A Study on Using ChatGPT to Help Students with Dyslexia Learn Chinese and English Writing,`` to appear ECNU Review of Education.

9. K. Xu, S.H. Song, and C. Xiang, ``Parametric Design for Combined Solar Facades for High-Rise Residential Buildings Using Regression Methods,`` to appear Sustainable Energy Technologies and Assessments.

10. K. Fung, K. Fung, T. Leung, R. Lui, K. Sin, L. Lee, H. Qu and S.H. Song, ``Exploring the Impact of Robot Interaction on Learning Engagement: A Comparative Study of Two Multi-modal Robots,`` to appear Smart Learning Environments.

11. Y. Xu, D. Xu, and S.H. Song, ``Sensing-assisted Robust SWIPT for Mobile Energy Harvesting Receivers`` to appear IEEE Transactions on Wireless Communications.

12. Z. Xie, R. Li, Y. Gu, Z. Jiang, J. Zhu, P. Chen, and S.H. Song ``Joint Beamforming and Power Allocation Strategy for NOMA Empowered ISAC Systems,`` IEEE Transactions on Vehicular Technology, vol. 74, no. 2, Feb. 2025.

13. W. Yu, Y. Ma, H. He, S.H. Song, J. Zhang, and K. B. Letaief, ``Deep Learning for Near-Field XL-MIMO Transceiver Design: Principles and Techniques,`` to appear IEEE Communications Magazine.

14. L. Zhao, Y. Wang, X. Chu, S.H. Song, Y. Deng, A. Nallanathan, and G. K. Karagiannidis, ``Open-Source Edge AI for 6G Wireless Networks,`` to appear IEEE Network Magazine.

15. L. Liu, J. Zhang, S.H. Song, and K.B. Letaief, ``Communication-Efficient Federated Distillation: Theoretical Analysis and Performance Enhancement,`` IEEE Internet of Things Journal, vol. 11, no. 23, Dec. 2024.

16. Y. Wang, L. Zhao, X. Chu, S.H. Song, Y. Deng, and A. Nallanathan, ``E2E Network Slicing Optimization for Control- and User-Plane Separation-based SAGINs with DRL,`` IEEE Transactions on Vehicular Technology, vol. 73, no. 11, Nov. 2024.

17. L. Qu, Y. Mao, S.H. Song, and C.Y. Tsui, ``Energy-Efficient Channel Decoding for Wireless Federated Learning: Convergence Analysis and Adaptive Design,`` IEEE Transactions on Wireless Communications, vol. 23, no. 11, Nov. 2024.

18. G. Zhou, L. Zhao, G. Zheng, S.H. Song, K.C. Chen and L. Hanzo, ``Performance vs. Cost Tradeoff for Network Slicing in Open RAN: An Intelligent Hierarchical Algorithm for Flexible Utility-Control,`` IEEE Transactions on Vehicular Technology, vol. 73, no. 11, Nov. 2024.

19. X. Zhang and S.H. Song, ``Mutual Information Density of Massive MIMO Systems over Rayleigh-Product Channels,`` IEEE Transactions on Communications, vol. 72, no. 9, Sept. 2024.

20. D. Xu, Y. Xu, X. Zhang, X. Yu, S.H. Song, and R. Schober, ``Interference Mitigation for Network-Level ISAC: An Optimization Perspective,`` IEEE Communications Magazine, Sept. 2024.

21. Z. Wei, D. Xu, S. Li, S.H. Song, D.W.K. Ng, and G. Caire, ``Resource Allocation Design for Next-Generation Multiple Access: A Tutorial Overview,`` Proceedings of the IEEE, vol. 112, no. 9, Sept. 2024.

22. W. Wang, K. Xu, S.H. Song, Y. Bao, and C. Xiang, ``From BIM to Digital Twin in BIPV: A Review of Current Knowledge,`` Sustainable Energy Technologies and Assessments, vol 67, July 2024.

23. W. Zhuang, Y. Mao, H. He, L. Xie, S.H. Song, Y. Ge, and Z. Ding, ``Approximate Message Passing-Enhanced Graph Neural Network for OTFS Data Detection,`` IEEE Wireless Communications Letters, vol. 13, no. 7, July 2024.

24. H. Gu, L. Zhao, Z. Han, G. Zheng, and S.H. Song, ``AI-Enhanced Cloud-Edge-Terminal Collaborative Network: Survey, Applications, and Future Directions,``IEEE Communications Surveys and Tutorials, vol. 26, no. 2, Second Quarter 2024.

25. X. Zhang and S.H. Song, ``Secrecy analysis for IRS-aided wiretap MIMO communications: Fundamental limits and system design,`` IEEE Transactions on Information Theory, vol. 70, no. 6, pp. 4140 - 4159, June 2024.

26. W. Yu, H. He, X. Yu, S.H. Song, J. Zhang, R. D. Murch, and K. B. Letaief, ``Bayes-Optimal Unsupervised Learning for Channel Estimation in Near-Field Holographic MIMO,`` IEEE J. Sel. Topics Signal Process, vol. 18, no.4, May 2024.

27. H. He, X. Yu, J. Zhang, S.H. Song, and K. B. Letaief, ``Message Passing Meets Graph Neural Networks: A New Paradigm for Massive MIMO Systems,`` IEEE Transactions on Wireless Communications, vol. 23, no. 5, May 2024.

28. K. Fung, K. Tang, T. Lui, K. Sin, L. Lee, H. Qu, and S.H. Song, ``ADPS - A Pre-screening Tool for Students with Dyslexia in Learning Traditional Chinese,`` IEEE Transactions on Learning Technologies, vol. 17, April 2024.

29. K. Fung, L. Lee, K. Sin, S.H. Song, and H. Qu, ``Humanoid Robot-Empowered Language Learning based on Self-Determination Theory,`` Education and Information Technologies, March 2024.

30. H. Tu, L. Zhao, Y. Zhang, G. Zheng, C. Feng, S.H. Song, and K. Liang, ``Deep Reinforcement Learning for Optimization of RAN Slicing Relying on Control- and User-Plane Separation,`` IEEE Internet of Things Journal, vol. 11, no. 5, Mar. 1, 2024.

31. G. Zhou, L. Zhao, G. Zheng, S.H. Song, J. Zhang, and L. Hanzo, ``Multi-objective Optimization of Space-Air-Ground Integrated Network Slicing Relying on a Pair of Central and Distributed Learning Algorithms,`` IEEE Internet of Things Journal, vol. 11, no. 5, Mar. 1, 2024.

32. L. Xie, S.H. Song, and K. B. Letaief, ``Networked sensing with AI-empowered interference management: Exploiting macro-diversity and array gain in perceptive mobile networks,`` IEEE Journal on Selected Areas in Communications, vol. 41, no. 12, Dec. 2023.

33. K. Fung, S. Perrault, L. Lee, K. Fung, and S.H. Song, ``Can students with dyslexia learn independently? A seven-week study of Chinese character learning in an informal learning environment,`` IEEE Transactions on Learning Technologies, vol. 16, no. 5, Oct. 2023.

34. X. Zhang and S.H. Song, ``Asymptotic mutual information analysis for double-scattering MIMO channels: A new approach by Gaussian tools,`` IEEE Transactions on Information Theory. vol. 69, no. 9, pp. 5497 - 5527, Sept. 2023.

35. G. Zhou, L. Zhao, G. Zheng, Z. Xie, S.H. Song, and K.-C. Chen, ``Joint multi-objective optimization for radio access network slicing using multi-agent deep reinforcement learning,`` IEEE Transactions on Vehicular Technology, vol. 72, no. 9, Sept. 2023.

36. W. Yu, Y. Shen, H. He, X. Yu, S.H. Song, J. Zhang, and K. B. Letaief, ``An Adaptive and Robust Deep Learning Framework for THz Ultra-Massive MIMO Channel Estimation,`` IEEE J. Sel. Topics Signal Process, vol. 17, no. 4, July 2023. (IEEE Signal Processing Society`s top 25 downloaded articles from Sept. 2023 to Sept. 2024)

37. Y Shen, J Zhang, SH Song, and K. B. Letaief, ``Graph Neural Networks for Wireless Communications: From Theory to Practice,`` IEEE Transactions on Wireless Communications, vol. 22, no. 5, pp. 3554-3569, May 2023.

38. Z. Xie and S.H. Song, ``FedKL: Tackling data heterogeneity in federated reinforcement learning by penalizing KL divergence,`` IEEE Journal on Selected Areas in Communications, vol. 41, no. 4, pp. 1227-1242, April 2023.

39. K. Fung, L. Lee, H. Pan, and S.H. Song, ``Can underprivileged children learn effectively at home? A six-month study of Chinese learning under lockdown during the pandemic,`` IEEE Transactions on Learning Technologies, vol. 17, March 2023.

40. L. Xie, S.H. Song, Yonina C. Eldar, and K. B. Letaief, ``Collaborative sensing in perceptive mobile networks: opportunities and challenges,`` IEEE Wireless Communications, vol. 30, no. 1, pp. 16-23, Feb. 2023.

41. L. Liu, J. Zhang, S.H. Song, and K.B. Letaief, ``Hierarchical federated learning with quantization: Convergence analysis and system design,`` IEEE Transactions on Wireless Communications, vol. 22, no. 1, Jan. 2023.

42. L. Xie, P. Wang, S.H. Song, K. B. Letaief, ``Perceptive mobile network with distributed target monitoring terminals: Leaking communication energy for sensing,`` IEEE Transactions on Wireless Communications, vol. 21, no. 12, Dec. 2022.

43. Y. Wang, L. Zhao, X. Chu, S.H. Song, Y. Deng, A. Nallanathan and K. Liang, ``Deep reinforcement learning-based optimization for end-to-end network slicing with control- and user-plane separation,`` IEEE Transactions on Vehicular Technology, vol. 71, no. 11, Nov. 2022.

44. Y. Ma, Y. She, X. Yu, J. Zhang, S.H. Song, and K.B. Letaief, ``Learn to communicate with neural calibration: Scalability and generalization,`` IEEE Transactions on Wireless Communications, vol. 21, no. 11, Nov. 2022.

45. X. Zhang, X. Yu, and S.H. Song, ``Outage and finite-SNR DMT analysis for IRS-aided MIMO systems: How large IRSs need to be?`` IEEE J. Sel. Topics Signal Process., vol. 16, no. 5, pp. 1070-1085, Aug. 2022.

46. X. Zhang and S.H. Song, ``Bias for the trace of the resolvent and its application on non-Gaussian and non-centered MIMO channels,`` IEEE Transactions on Information Theory, vol. 68, no. 5, May 2022.

47. H. He, X. Yu, J. Zhang, S.H. Song, and K. B. Letaief, ``Cell-free massive MIMO for 6G wireless communication networks,`` Journal of Communications and Information Networks, 6(4): 321-335, 2021.

48. X. Hou, J. Wang, F. Fang, X. Zhang, S.H. Song, X. Zhang, and Y. Ren, ``Machine learning aided mission-critical internet of underwater things,`` IEEE Network Magazine, vol. 35, no. 4, July/August 2021.

49. S.H. Song, Marco Antonelli, Tony Fung, Brandon D. Armstrong, Amy Chong, Albert Lo, and Bertram E. Shi, ``Developing and assessing MATLAB exercises for active concept learning`` IEEE Transactions on Education, vol. 62, no. 1, Feb. 2019.

50. Rui Wang, Jun Zhang, S.H. Song, and K. B. Letaief, ``Exploiting mobility in cache-assisted D2D networks: performance analysis and optimization,`` IEEE Transactions on Wireless Communications, vol. 17, no. 8, Aug. 2018.

51. Yuyi Mao, Jun Zhang, S.H. Song, and K. B. Letaief, ``Stochastic joint radio and computational resource management for multi-user mobile-edge computing systems,`` IEEE Transactions on Wireless Communications, vol. 16, no. 9, Sept. 2017. (ESI highly cited paper)

52. Rui Wang, Jun Zhang, S.H. Song, and K. B. Letaief, ``Mobility-aware caching in D2D networks,`` IEEE Transactions on Wireless Communications, vol. 16, no. 11, Aug. 2017.

53. Rui Wang, Jun Zhang, S.H. Song, and K. B. Letaief, ``Optimal QoS-aware channel assignment in D2D communications with partial CSI,`` IEEE Transactions on Wireless Communications, vol. 15, no. 11, Nov. 2016.

54. L. Yang, S.H. Song, and K. B. Letaief, ``Overlay cognitive spectrum access in macro-femto heterogeneous networks,`` IEEE Transactions on Wireless Communications, vol 15, no. 2, Feb. 2016.

55. Y. Liu, J. Duan, S. Wang, and S.H. Song, ``Interface MB based Video Content Editing Transcoding,`` IEEE Transactions on Circuits and Systems for Video Technology, vol. 25, no. 2, Feb. 2015.

56. S.H. Song, Q.T. Zhang, and K. B. Letaief, ``Selective relay-activation for conditional DF relaying,`` IEEE Transactions on Communications, vol. 62, no. 3, March 2014.

57. X. Chen, S.H. Song, and K. B. Letaief, ``Linear interference alignment in dual-hop MIMO interference channels,`` IEEE Transactions on Wireless Communications, vol. 13, no. 3, March 2014.

58. S.H. Song, Ali F. Almutairi, and K. B. Letaief, ``Outage-capacity based adaptive relaying in LTE-advanced networks,`` IEEE Transactions on Wireless Communications, vol. 12, no. 9, Sept. 2013.

59. Gan Zheng, S.H. Song, Kai-Kit Wong, and Bjorn Ottersten, ``Cooperative cognitive networks: Optimal, distributed and low-complexity algorithms,`` IEEE Transactions on Signal Processing, vol. 62, no. 11, pp. 2778-2790, June, 2013.

60. S.H. Song, M.O. Hasna, and K. B. Letaief, ``Prior zero-forcing for cognitive relaying,`` IEEE Transactions on Wireless Communications, vol. 12, no. 2, pp. 938-947, Feb. 2013.

61. X. Chen, S.H. Song and K. B. Letaief, ``Relay-position optimization improves finite-SNR diversity gain of decode-and-forward MIMO relay systems,``IEEE Transactions on Communications, vol. 60, no. 11, pp. 3311-3321, Nov. 2012.

62. S.H. Song and K. B. Letaief, ``System design, DMT analysis, and penalty for non-coherent relaying,`` IEEE Transactions on Communications, vol. 60, no. 9, pp. 2489-2498, Sept. 2012.

63. S.H. Song and K. B. Letaief, ``Diversity analysis for linear equalizers over ISI channels,`` IEEE Transactions on Communications, vol. 59, no. 9, pp. 2414-2423, Sept. 2011.

64. S.H. Song, G.L. Chen and K. B. Letaief, ``Localized or interleaved? a tradeoff between diversity and CFO interference in multipath channels,`` IEEE Transactions on Wireless Communications, vol. 10, no. 9, pp. 2829-2834, Sept. 2011.

65. S.H. Song, K. Hamdi and K. B. Letaief, ``Spectrum sensing with active cognitive systems,`` IEEE Transactions on Wireless Communications, vol. 9, no. 6, pp. 1849-1854, June 2010.

66. S.H. Song and Q.T. Zhang, ``Input-distribution optimization for channels with estimation errors,`` IEEE Transactions on Communications, vol. 57, no. 12, pp. 3533- 3537, Dec. 2009.

67. S.H. Song and Q.T. Zhang, ``Design collaborative systems with multiple AF-relays for asynchronous frequency-selective fading channels,`` IEEE Transactions on Communications, vol. 57, no. 9, pp. 2808-2817, Sept. 2009.

68. J.Y. Li, Q.T. Zhang and S.H. Song, ``Optimization of transmit-beam number and power allocation for generic correlated MIMO Rayleigh channels,`` IEEE Transactions on Communications, vol. 57, no. 8, pp. 2255-2259, Aug. 2009.

69. S.H. Song and Q.T. Zhang, ``Optimal decoder for channels with estimation errors,`` IEEE Transactions on Wireless Communications, vol. 8, no. 6, pp.2795-2800, June 2009.

70. S.H. Song and Q.T. Zhang, ``Mutual information of multipath channels with imperfect channel information,`` IEEE Transactions on Communications, vol. 57, no. 2, pp. 1523-1531, May 2009.

71. D.W. Yue, Q. T. Zhang and S. H. Song, ``Capacity analysis for correlated MISO channels in the presence of correlated interference and noise,`` Wireless Personal Communications, DOI 10.1007/s11277-009-9798-9, Aug. 2009.

72. S.H. Song and Q.T. Zhang, ``CDMA-PPM for UWB impulse radio,`` IEEE Transactions on Vehicular Technology, vol. 57, no. 2, pp. 1011-1020, Mar. 2008.

73. S.H. Song and Q.T. Zhang, ``TH-CDMA-PPM with noncoherent detection for low rate WPAN,`` IEEE Transactions on Wireless Communications, vol. 7, no. 2, pp. 446-451, Feb. 2008.

74. S.H. Song and Q.T. Zhang, ``Multi-dimensional detector for UWB ranging system in dense multi-path environment,`` IEEE Transactions on Wireless Communications, vol. 7, no. 1, pp. 175-183, Jan. 2008.

75. Q.T. Zhang and S.H. Song, ``A systematic procedure for accurately approximating Lognormal sum distributions,`` IEEE Transactions Vehicular Technology, vol. 57, no. 1, pp. 663-666, Jan. 2008.

76. S.H. Song and Q.T. Zhang, ``Dimension-diversity receiver for the detection of UWB signals,`` IEEE Transactions on Vehicular Technology, vol. 56, no. 4, pp. 2226-2234, July 2007.

77. Q.T. Zhang and S.H. Song, ``Exact expression for the coherence bandwidth of Rayleigh fading channels,`` IEEE Transactions on Communications, vol. 55, no. 7, pp.1296-1299, July 2007.

78. Q.T. Zhang and S.H. Song, ``Eigen-based receivers for the detection of random UWB signals,`` IEEE Transactions on Communications, vol. 54, no. 7, pp. 1184-1189, July 2006.

79. Q.T. Zhang and S.H. Song, ``Parsimonious correlated non-stationary models for real baseband UWB data,`` IEEE Transactions on Vehicular Technology, vol. 54, no. 2, pp. 447-455, Mar. 2005.

Conference Publications:

1. K. Zhang, H. He, S.H. Song, J. Zhang, and K. B. Letaief, ``Distributed On-Device LLM Inference With Over-the-Air Computation,`` to appear IEEE ICC 2025.

2. H. Li, H. Zhao, H. He, S.H. Song, J. Zhang, and K. B. Letaief, ``Remote Training in Task-Oriented Communication: Supervised or Self-Supervised with Fine-Tuning?,`` to appear IEEE ICC 2025.

3. K. Fung, L. Lee, L. Yuan, K. Fung, S. Fung, L. Leung, H. Qu, and S.H. Song, ``DysVis: A User-Centred Data Visualization System for Dyslexia Pre-screening,`` to appear CHI 2025.

4. M. Zhang, R. Cao, J. Qian, H. He, S.H. Song, J. Zhang, and K. B. Letaief, ``Fractional Delay and Doppler Estimation for OTFS Systems with Doppler Squint Effect,`` to appear WCNC 2025.

5. K. Fung, L. Lee, H. Qu, Y. Li, S.H. Song, D. Yip, ``Create-to-learn Paradigm: A Proxy Visual Storytelling Tool (PVST) for Stimulating Children's Story Sense and Structure,`` VINCI '24: Proceedings of the 17th International Symposium on Visual Information Communication and Interaction.

6. K.Y. Fung, K.C. Fung, T. Lui, K. Sin, H. Qu, and S.H. Song, ``A Robot-assisted Scenario Training for Students with ASD,`` International Conference on Computers in Education 2024. (Best Technical Design Paper Nominee)

7. X. Zhang, D. Xu, X. Yu, S.H. Song, and M. Debbah, ``Finite Blocklength Analysis for Optical Fiber MIMO Channels,`` to appear Globecom 2024.

8. L. Liu, Y. Mao, J. Zhang, S.H. Song, and K. B. Letaief, ``Quantization and Privacy Noise Co-Design for Utility-Privacy-Communication Trade-off in Federated Learning,`` to appear Globecom 2024.

9. K Hu, Y Liu, F Xu, R Liu, H Wang, and S.H. Song, ``Asymmetric Neural Image Compression with High-Preserving Information,`` 2024 IEEE International Symposium on Circuits and Systems (ISCAS), 1-5.

10. S. Xie, H. He, H. Li, S.H. Song, J. Zhang, Y. J. Zhang, and K. B. Letaief, ``Deep Learning-Based Adaptive Joint Source-Channel Coding using Hypernetworks,`` MeditCom 2024.

11. W. Guo, M. He, C. Huang, H. He, S.H. Song, J. Zhang, and K. B. Letaief, ``Model-Driven Deep Learning for Distributed Detection in WSNs with Binary Quantization,`` MeditCom 2024.

12. T. Kang, L. Liu, H. He, J. Zhang, S.H. Song, and K. B. Letaief, ``The Effect of Quantization in Federated Learning: A Renyi Differential Privacy Perspective,`` MeditCom 2024.

13. G. W. M. Dunda and S.H. Song, ``Fairness-aware Federated Minimax Optimization with Convergence Guarantee,`` arXiv:2307.04417, IEEE CAI 2024.

14. L. Xie, S.H. Song, and Yonina C. Eldar, ``Model-Driven Sensing-Node Selection for Maneuvering Target Tracking,`` WCNC 2024.

15. L Xie, F Liu, Z Xie, Z Jiang, and S.H. Song, ``Sensing Mutual Information with Random Signals in Gaussian Channels,`` ICC 2024.

16. W Yu, H He, X Yu, S.H. Song, J Zhang, R. D. Murch, and K. B. Letaief, ``Bayes-Optimal Unsupervised Learning for Channel Estimation in Near-Field Holographic MIMO,`` ICC 2024.

17. Z. Zhuang, X. Zhang, D. Xu, S.H. Song, ``Active IRS-Aided MIMO Systems: How Much Gain Can We Get?`` WCNC 2024.

18. L. Qu, S.H. Song, C.Y. Tsui, and Y. Mao,``How Robust is Federated Learning to Communication Error? A Comparison Study Between Uplink and Downlink Channels,`` WCNC 2024.

19. R. Cao, W. Yu, H. He, X. Yu, S.H. Song, J. Zhang, Y. Gong, and K.B. Letaief, ``Newtonized Near-Field Channel Estimation for Ultra-Massive MIMO Systems,`` WCNC 2024.

20. Y. Ma, W. Yu, X. Yu, J. Zhang, S.H. Song, and Khaled B. Letaief ``Lightweight and Flexible Deep Equilibrium Learning for CSI Feedback in FDD Massive MIMO,`` 2024 IEEE International Conference on Machine Learning for Communication and Networking (ICMLCN).

21. X. Zhang, D. Xu, and S.H. Song, ``IRS-Aided Secure Communications with Linear Precoding: Performance Analysis and System Design,`` Globecom 2023.

22. X. Zhang and S.H. Song, ``URLLC in IRS-Aided MIMO Systems: Finite Blocklength Analysis and Design,`` Asilomar Conference on Signals, Systems, and Computers, 2023.

23. K. Fung, K. Sin, T. Lui, K. Fung, Hu. Qu, and S.H. Song, ``An Robot-Assisted Scenario Training System for Students with Autism,`` eLFA 2023.

24. Y. Xu, D. Xu, L. Xie and S.H. Song, ``Joint BS Selection, User Association, and Beamforming Design for Network Integrated Sensing and Communication,`` GlobeCom 2023.

25. L. Liu, J. Zhang, S.H. Song and K. B. Letaief, ``Binary Federated Learning with Client-Level Differential Privacy,`` GlobeCom 2023.

26. H. Li, W. Yu, H. He, J. Shao, S.H. Song, J. Zhang and K. B. Letaief, ``Task-Oriented Communication with Out-of-Distribution Detection: An Information Bottleneck Framework,`` GlobeCom 2023.

27. Y. Xu, L. Xie, D. Xu, and S.H. Song, ``Fundamental Limits and Base Station Selection for Collaborative Sensing in Perceptive Mobile Network,`` MeditCom 2023.

28. D. Kim and S.H. Song, ``Power Allocation for Device-to-Device Interference Channel Using Truncated Graph Transformers,`` MeditCom 2023.

29. D. Xu, X. Yu, S.H. Song, D.W.K. Ng, and R. Schober, ``Multi-Objective Optimization for Active IRS-Assisted Communication Systems,`` MeditCom 2023.

30. M. Zhang, H. He, S.H. Song, J. Zhang, and K. B. Letaief, ``Resource Allocation for OTFS-Based ISAC Systems,`` MeditCom 2023.

31. D. Xu, Y. Xu, Z. Wei, S.H. Song, and D. W. K. Ng, ``Sensing-Enhanced Secure Communication: Joint Time Allocation and Beamforming Design,`` WiOpt 2023 Workshop on ISAC.

32. W. Yu, H. Li, H. He, X. Yu, S.H. Song, J. Zhang, and K. B. Letaief, ``Learning Bayes-Optimal Channel Estimation for Holographic MIMO in Unknown EM Environments,`` CTW 2023.

33. R. Cao, H. He, X. Yu, S.H. Song, J. Zhang, Y. Gong and K. B. Letaief, ``Variational Newtonized Near-Field Channel Estimation for ELAA Systems,`` CTW 2023.

34. D. Xu, C. Liu, S.H. Song, and D. W. K. Ng, ``Integrated Sensing and Communication in Coordinated Cellular Networks,`` to appear IEEE Statistical Signal Processing Workshop (SSP), 2023 (invited paper).

35. W. Yu, H. He, X. Yu, S.H. Song, J. Zhang, and K. B. Letaief, ``Blind Performance Prediction for Deep Learning Based Ultra-Massive MIMO Channel Estimation,'' ICC2023.

36. H. He, A. Kosasih, X. Yu, J. Zhang, S.H. Song, W. Hardjawana, and K. B. Letaief, ``GNN-enhanced approximate message passing for massive/ultra-massive MIMO detection,`` IEEE WCNC 2023.

37. H.M. Kwan and S.H. Song, ``SSBNet: Improve visual recognition efficiency by adaptive sampling,`` ECCV 2022.

38. L. Xie and S.H. Song, ``Iterative sparse recovery based passive localization in perceptive mobile networks,`` the 1st ACM MobiCom Workshop on Integrated Sensing and Communication Systems, 2022.

39. L. Xie, X. Yu, and S.H. Song, ``Intelligent reflecting surface-aided maneuvering target sensing: True velocity estimation,`` ISWCS'22 (invited paper).

40. L. Qu, S.H. Song, and C.Y. Tsui, ``FedDQ: Communication-efficient federated learning with descending quantization,`` IEEE Globecom 2022.

41. Y. Ma, X. Yu, J. Zhang, S.H. Song, and K. B. Letaief, ``Augmented deep unfolding for downlink beamforming with limited feedback in MU-MIMO cellular systems,`` IEEE Globecom 2022.

42. L. Liu, J. Zhang, S.H. Song, and K.B. Letaief, ``Communication-Efficient Federated Distillation with Active Data Sampling,`` IEEE ICC 2022.

43. X. Zhang, X. Yu, S.H. Song, and K. B. Letaief, ``IRS-aided MIMO systems over double-scattering channel: impact of channel rank deficiency,`` IEEE WCNC 2022.

44. K. Fung, K. Sin, Z. A. Wen, S.H. Song, and H. Qu, ``Designing a Game for Pre-Screening Students with Specific Learning Disabilities in Chinese,`` ASSETS '22: The 24th International ACM SIGACCESS Conference on Computers and Accessibility, Athens, Greece, October 2022.

45. K. Fung, Z. A. Wen, H. Li, X. Wang, S.H. Song, and H. Qu, ``Designing a Data Visualization Dashboard for Pre-Screening Hong Kong Students with Specific Learning Disabilities,`` ASSETS '22: The 24th International ACM SIGACCESS Conference on Computers and Accessibility, Athens, Greece, October 2022

46. Z. Qiao, Y. Shen, X. Yu, J. Zhang, S.H. Song, and K.B. Letaief, ``Content-aware client selection for federated learning in wireless networks,`` IEEE MeditCom 2022.

47. R. Cao, H. He, X. Yu, J. Zhang, S.H. Song, Y. Gong, and K. B. Letaief, ``Belief propagation for near-field cooperative localization and tracking in 6G vehicular networks`` IEEE MeditCom 2022.

48. Y. Ma, Y. Shen, X. Yu, J. Zhang, S.H. Song, and K. B. Letaief, ``Neural calibration for scalable beamforming in FDD massive MIMO with implicit channel estimation,`` IEEE GLOBECOM 2021.

49. H. He, X. Yu, J. Zhang, S.H. Song, and K. B. Letaief, ``Distributed expectation propagation detection for cell-free massive MIMO,`` IEEE GLOBECOM 2021.

50. Y. Shen, J. Zhang, S.H. Song, and K. B. Letaief, ``AI empowered resource management for future wireless networks,`` IEEE International Mediterranean Conference on Communications and Networking (MeditCom), 2021.

51. Y.F. Ma, Y.F. Shen, X.H. Yu, J. Zhang, S.H. Song, and K.B. Letaief, ``A low-complexity algorithmic framework for large-scale IRS-assisted wireless systems,`` IEEE GLOBECOM 2020 Workshop.

52. Y.F. Shen, J. Zhang, S.H. Song, and K.B. Letaief, ``Deep learning for scalable wireless resource allocation: which model to use?`` 54th Asilomar Conference on Signals, Systems and Computers, 2020.

53. L. Liu, J. Zhang, S.H. Song, and K.B. Letaief, ``Client-edge-cloud hierarchical federated learning,`` 2020 IEEE International Conference on Communications (ICC), 1-6, 2020. (Popular Article of IEEE ICC Proceedings)

54. H. Yang, J. Zhang, S.H. Song, and K.B. Letaief, ``Connectivity-aware UAV path planning with aerial coverage maps,`` IEEE Wireless Communications and Networking Conference (WCNC 2019), Marrackech, Morroco, 15-19 April 2019.

55. R. Wang, J. Zhang, S.H. Song, and K. B. Letaief, ``Mobility increases the data offloading ratio in D2D caching networks,`` in Proc. IEEE Int. Conf. Commun. (ICC), Paris, France, May 2017.

56. Y. Mao, J. Zhang, S.H. Song, and K. B. Letaief, ``Power-delay tradeoff in multi-user mobile-edge computing systems,`` IEEE Global Commun. Conf. (GLOBECOM), Washington, DC, Dec. 2016. (Popular Article of IEEE GLOBECOM Proceedings)

57. C. Li, J. Zhang, S.H. Song, and K. B. Letaief, ``Selective uplink training for massive MIMO systems,`` in Proc. IEEE Int. Conf. Commun. (ICC), Kuala Lumpur, Malaysia, May 2016.

58. X. Peng, J. Zhang, S.H. Song, and K. B. Letaief, ``Cache size allocation in backhaul limited wireless networks,`` in Proc. IEEE Int. Conf. Commun. (ICC), Kuala Lumpur, Malaysia, May 2016.

59. R. Wang, J. Zhang, S.H. Song, and K. B. Letaief, ``QoS-aware joint mode selection and channel assignment for D2D communications,`` in Proc. IEEE Int. Conf. Commun. (ICC), Kuala Lumpur, Malaysia, May 2016.

60. R. Wang, J. Zhang, S.H. Song, and K. B. Letaief, ``QoS-aware channel assignment for sum-rate maximization in D2D communications,`` in Porc. IEEE Global Commun. Conf. (GLOBECOM), San Diego, CA, Dec. 2015.

61. L. Yang, S.H. Song, and K. B. Letaief, ``Jointly optimal spectrum deployment and cognitive access for ASE maximization of macro-femto hetnets,`` IEEE ICC 2015, London, 2015.

62. C. Li, Jun Zhang, S.H. Song, and K. B. Letaief, ``Analysis of area spectral efficiency andlink reliability in multiuser MIMO HetNets,`` IEEE ICC 2015, London, 2015.

63. L. Yang, S.H. Song, and K. B. Letaief, ``Cognitive spectrum access in macro-femto heterogeneous networks,`` IEEE Globecom, Austin, TX, Dec. 2014.

64. Y. Mao, J. Zhang, S.H. Song, and K. B. Letaief, ``Joint link selection and relay power allocation for energy harvesting relaying systems,`` IEEE Globecom, Austin, TX, Dec. 2014.

65. R. Wang, J. Zhang, S.H. Song, and K. B. Letaief, ``Average throughput analysis of downlink cellular networks with multi-antenna base stations,`` in Proc. IEEE Int. Symp. on Personal Indoor and Mobile Radio Comm. (PIMRC), Washington, DC, Sept. 2014.

66. Lu. Yang, S.H. Song, and K. B. Letaief, ``Cognitive spectrum access in two-tier femtocell networks,`` IEEE International Conference on Communications, 2014.

67. S.H. Song, J. Zhong, and K. B. Letaief, ``Achievable diversity gain of interference channel,`` IEEE Wireless Communications and Networking Conference 2013.

68. H. Li, M.W. Liu, S.H. Song, and K. B. Letaief, ``Optimality of amplify-and-forward based two-way relaying,`` IEEE Wireless Communications and Networking Conference 2013.

69. S.H. Song, Q.T. Zhang, and K. B. Letaief, ``Selective water-filling for decode-and-forward cooperative systems,`` the 13th IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2012.

70. S.H. Song, X. Chen, and K. B. Letaief, ``Achievable diversity gain of K-user interference channel,`` the 2012 IEEE International Conference on Communications (ICC12).

71. C. Li, S.H. Song, Jun. Zhang, and K. B. Letaief, ``Maximizing energy efficiency in wireless networks with a minimum average throughput requirement,`` the 2012 IEEE Wireless Communications and Networking Conference (WCNC 2012).

72. X. Chen, S.H. Song, and K. B. Letaief, ``Interference alignment in MIMO interference relay channels,`` the 2012 IEEE Wireless Communications and Networking Conference (WCNC 2012).

73. L. Yang, S.H. Song, and K. B. Letaief, ``Optimizing spectrum sensing efficiency in cognitive radio networks,`` the 2012 Computing, Communications and Applications Conference.

74. S.H. Song and K. B. Letaief, ``Prior zero-forcing for relaying primary signals in cognitive network,`` in Proc. IEEE Global Communications Conference, (GLOBECOM), Dec. 05-09, 2011.

75. S.H. Song and K. B. Letaief, ``Achieving space diversity with non-coherent AF relaying`` in Proc. IEEE International Conference on Communications (ICC11).

76. G.L. Chen, S.H. Song and K. B. Letaief, ``A low-complexity precoding scheme for PAPR reduction in SC-FDMA systems,`` in Proc. IEEE Wireless Communications and Networking Conference 2011- Phy (WCNC11).

77. X. Chen, S.H. Song and K. B. Letaief, ``Transmit and cooperative beamforming in multi-relay systems,`` in Proc. IEEE International Conference on Communications (ICC10), Cape Town, South Africa, May 23-27, 2010.

78. Y.L. Hsieh, S.H. Song, and Q.T. Zhang, ``Active sensing for cognitive radio,`` Proceedings of the 70th IEEE Vehicular Technology Conference, VTC Fall 2009, Anchorage, Alaska, USA, September 2009.

79. D.W. Yue, Q.T. Zhang and S.H. Song, ``Capacity of correlated MISO channels with correlated co-channel interference and noise,`` 4th International Conference on Wireless Communications, Networking and Mobile Computing (WiCOM 2008), Dalian, China, Oct. 2008.

80. S.H. Song and Q.T. Zhang, ``Capacity of wireless systems with channel estimation errors,`` in Proc. IEEE International Conference on Communications (ICC08), 2008.

81. Q.T. Zhang and S.H. Song, ``Exact coherence bandwidth of Rayleigh fading channels,`` 18th IEEE Annual International Symposium on Personal Indoor and Mobile Radio Communications ( PIMRC), 2007.

82. S.H. Song and Q.T. Zhang, ``Multi-template detection of UWB ranging signals in dense multipath environment,`` IEEE 2007 International Conference on Communications ( ICC07), June 2007.

83. S.H. Song and Q.T. Zhang, ``Noncoherent detection of TH-CDMA-PPM signals for low rate WPAN communications,`` IEEE Wireless Communications and Networking Conference 2007- Phy / MAC (WCNC07), Mar. 2007.

84. Li Feng, Q.T. Zhang, and S.H. Song, ``Efficient optimization of input covariance matrix for MISO in correlated Rayleigh fading,`` IEEE Wireless Communications and Networking Conference 2007- Phy / MAC, (WCNC07), Mar. 2007.

85. Q.T. Zhang, X.Y. Zhao, Y.X. Zeng and S.H. Song, ``Efficient estimation of fast fading OFDM channels,`` IEEE 2006 International Conference on Communications (ICC06), June 2006.

86. S.H. Song and Q.T. Zhang, ``Dimension diversity for the enhancement of UWB signal detection,`` IEEE Vehicular Technology Conference 2006-SPRING (VTC06), May 2006.

87. Q.T. Zhang and S.H. Song, ``Model selection and estimation for Lognormal sums in Pearson`s framework,`` IEEE Vehicular Technology Conference 2006 (VTC06), May 2006.

88. Q.T. Zhang and S.H. Song, ``UWB signal detection using eigen-based receiver,`` IEEE 2005 International Conference on Communications (ICC05), June 2005.

89. S.H. Song and Q.T. Zhang, ``Eigenfilter based template for baseband UWB signals,`` IEEE Vehicular Technology Conference 2004-Fall (VTC04), Sept. 2004.

90. Q.T. Zhang and S.H. Song, ``Parsimonious correlated non-stationary models for real baseband UWB data,`` IEEE 2004 International Conference on Communications (ICC04), June 2004.