
Speech Title: A silicon-based
optoelectronic integrated system driven by an integrated
microresonator frequency comb, achieving parallel on-chip
signal transmission at a maximum rate of 2 Tb/s.
Abstract: In this talk, I will introduce my group recent
works. A silicon-based optoelectronic integrated system
driven by an integrated microresonator frequency comb,
achieving parallel on-chip signal transmission at a
maximum rate of 2 Tb/s. The work was published in Nature
605, 457-463 (2022). An integrating photonic chips with
wireless communications and demonstrated high-speed
wireless communication configurable at arbitrary carrier
frequencies. The system achieved a record bandwidth
exceeding 100 GHz and full-spectrum wireless coverage. The
work was published in Nature 645, 80-87 (2025). An
optoelectronic and electro-optic conversion devices with
bandwidths exceeding 250 GHz. Using these devices, his
team achieved record single-channel transmission of
512-Gbit/s PAM4 signals in optical-fiber communications
and 400-Gbit/s 16-QAM and 32-QAM signals in wireless
communications. The team also demonstrated wireless
transmission of 86 simultaneous 8K video streams in the
terahertz band. The work was published in Nature 651,
348-355 (2026).
Biography: Xingjun Wang, Boya Distinguished Professor at Peking University, Cheung Kong Scholar Distinguished Professor under the Ministry of Education, PhD advisor, the Associate Dean of the School of Electronics, the Head of a National Key Field Innovation Team, the Deputy Director of the National Key Laboratory of Photonic Transmission and Communications, the Deputy Director of the Ministry of Education’s Frontier Science Center for Nano-Optoelectronics, and a member of the Academic Degrees Appraisal Committee of the State Council. He is also a Fellow of the Optical Society of America (OSA), a Fellow of the China Institute of Communications (CIC), and a Fellow of the Chinese Society for Optical Engineering (CSOE).
Over the past five years, his work has primarily focused on optoelectronic integrated chips and systems. As the principal investigator, he has led several major research projects, including two National Key R&D Programs, two National Major Engineering Projects, a Major Scientific Instrument Project of the National Natural Science Foundation of China (NSFC), two NSFC Key Projects, and a Beijing Municipal Key Project. His representative achievements have been recognized with numerous awards, including China’s Top 10 Scientific and Technological Innovations Award, China’s Top 10 Advances in Information and Communication Technology (twice), China’s Top 10 Optical Advances, China’s Top 10 Social Impact Events in Optics (twice), and China’s Top 10 Advances in Chip Science. He also received the 2024 Beijing Natural Science Award First Prize (ranked first).
His long-term research focuses on silicon-based optoelectronic integrated chips and information systems. As the first or corresponding author, he has published over 200 papers in high-impact journals such as *Nature* (2 papers), *Nature Photonics*, and *Nature Communications* (8 papers). He holds more than 50 authorized invention patents.

Speech Title: Intelligent
Metasurface-Empowered Wireless Communications and Sensing:
From Theory to Validation
Abstract: Intelligent
metasurfaces, as a key enabling technology for
next-generation wireless communications and sensing, are
capable of actively reshaping electromagnetic wave
propagation environments, driving communication systems to
transition from passively adapting to channels toward
intelligently regulating wireless environments. This
presentation focuses on the theoretical framework, key
technologies, and experimental validation of intelligent
metasurfaces enabling wireless communications and sensing.
It highlights fundamental theories and core methods such
as physical and channel modeling, beamforming and phase
optimization, and integrated communication and sensing,
and validates the effectiveness of the related
technologies through prototype systems and experimental
tests. This research is jointly conducted by the School of
Electronic Information and Communications, Huazhong
University of Science and Technology; the Center for
Mathematical Sciences, Huazhong University of Science and
Technology; Shanghai University; and Shanghai University
of Finance and Economics, and is funded by the National
Natural Science Foundation of China and the Wuhan Key
Research and Development Program.
Biography: Robert Caiming Qiu (Fellow, IEEE) received the Ph.D. degree in electrical engineering from New York University (formerly Polytechnic University), Brooklyn, NY, USA. He joined the School of Electronic Information and Communications, Huazhong University of Science and Technology, China, as a Full Professor, in 2020. Before joining HUST, he was an Associate Professor with the Department of Electrical and Computer Engineering, Center for Manufacturing Research, Tennessee Tech University, Cookeville, TN, USA, in 2003, where he became a Professor in 2008. He founded and served as the CEO and the President of Wiscom Technologies Inc., a company specializing in manufacturing and marketing WCDMA chipsets. In 2003, he was acquired by Intel. He was with GTE Laboratories Inc. (now Verizon), Waltham, MA, USA; and Bell Laboratories, Lucent, Whippany, NJ, USA. He has co-authored Cognitive Radio Communication and Networking: Principles and Practice (John Wiley, 2012) and Cognitive Networked Sensing: A Big Data Way (Springer, 2013) and authored Big Data and Smart Grid (John Wiley, 2015). He has authored over 100 journal articles/book chapters and 120 conference papers. He has served as a TPC Member for GLOBECOM, ICC, WCNC, and MILCOM. He was a Guest Book Editor of Ultra-Wideband (UWB) Wireless Communications (New York: Wiley, 2005) and three Special Issues on UWB, including IEEE Journal on Selected Areas in Communications, IEEE Transactions on Vehicular Technology, and IEEE Transactions on Smart Grid. Furthermore, he has made 15 contributions to 3GPP and IEEE standards bodies. He has also served as an Associate Editor for IEEE Transactions on Vehicular Technology and other international journals.

Speech Title: UAV Sensing for
Urban Low-Altitude Environment with Intelligent CKM
Abstract: This talk tackles the challenge of UAV
wireless sensing in urban low-altitude environments with
blocked line-of-sight (LoS) links. We introduce the
Channel Knowledge Map (CKM) as a solution, using
location-specific channel priors to enable
environment-aware communication and sensing. This method
enhances LoS/NLoS identification, clutter rejection, and
localization capabilities. After presenting the core
principles and construction methods of CKM, we will
demonstrate how communication-based CKMs can be extended
to sensing applications, offering a "two-in-one"
advantage for integrated systems.
Biography: Yong Zeng, IEEE Fellow, Young Chief Professor of Southeast University and Purple Mountain Laboratory, Nanjing, China. He received the Bachelor of Engineering (First-Class Honours) and Ph.D. degrees from Nanyang Technological University (NTU), Singapore. From 2013 to 2018, he was a Research Fellow and Senior Research Fellow at the National University of Singapore (NUS). From 2018 to 2019, he was a Lecturer at the University of Sydney, Australia.
Prof. Zeng was listed as Clarivate Analytics Highly Cited Researcher for 7 consecutive years (2019-2025), AI2000 Most Influential Scholars in the field of Internet of Things for 4 consecutive years (2021-2024), Stanford "Top 2% of Scientists in the World - Lifetime Influence". Prof. Zeng is the recipient of Australia Research Council (ARC) Discovery Early Career Researcher Award (DECRA), IEEE Communications Society Asia-Pacific Outstanding Young Researcher Award, and won 10 international and domestic best paper awards including IEEE Marconi Award (2020 and 2024), Heinrich Hertz Award (2017 and 2020), etc. Prof. Zeng proposed the concept of channel knowledge map (CKM), and his works have been cited by more than 42,000 times. He serves on the editorial board of SCI journals such as IEEE Transactions on Communications, IEEE Transactions on Mobile Computing, and IEEE Communications Letters, and leading guest editor of journals including IEEE ComMag, Wireless ComMag, China Communications, and Science China Information Sciences. Prof. Zeng was elevated to IEEE Fellow “for contributions to unmanned aerial vehicle communications and wireless power transfer”.