Yunhao Liu

Yunhao Liu
Yunhao Liu
刘云浩
	Yunhao Liu
Born	1971 (age 52–53); Beijing, China
Nationality	People's Republic of China
Citizenship	People's Republic of China
Alma mater	Michigan State University (Ph.D. & M.S.); Beijing Foreign Studies University (M.A.); Tsinghua University (B.S.);
Known for	LANDMARC; GreenOrbs; Tagoram; CitySee;
Awards	ACM Fellow ; IEEE Fellow ; State Natural Science Award ; ACM Presidential Award; MSU Foundation Professor; NSF China Distinguished Young Scholar; CCF IOT Young Achievement Award; Hong Kong Best Innovation and Research Award;
	Scientific career
Fields	Internet of Things ; Wireless sensor networks ; Pervasive computing ; Peer-to-peer Computing ; Wireless Localization ;
Institutions	Michigan State University ; Tsinghua University ;

Last updated May 02, 2024

Yunhao Liu is a Chinese computer scientist. He is the Dean of Global Innovation Exchange (GIX) at Tsinghua University.

Biography

Yunhao Liu received his B.S. degree from Automation Department at Tsinghua University in 1995, an M.A. degree from Graduate School of Translation and Interpreting at Beijing Foreign Studies University in 1997, and an M.S. and Ph.D. degree from Department of Computer Science and Engineering at Michigan State University in 2003 and 2004.

From 2004 to 2011, he was assistant professor, associate professor, and postgraduate director in the Department of Computer Science and Engineering, Hong Kong University of Science and Technology (HKUST). He was Professor in School of Information Science and Technology at Tsinghua University 2011 through 2013, and he served as Chang Jiang Professor and the Dean of School of Software, Tsinghua University, 2013 to 2017. From 2018, he joined MSU and now serves as MSU Foundation Professor, and from 2018 to 2019, he served as chairperson designee in the Department of Computer Science and Engineering, Michigan State University.

Honors and awards

Yunhao received Hong Kong Best Innovation & Research Grand Award for building the world's earliest Coal Mine Surveillance with Wireless Sensor Networks^[5] in 2007. He received the First Class Ministry of Education Nature Science Award for Location and Localizability study in wireless networks in 2010.^[6]

In 2011, Liu was awarded the State Natural Science Award for his contribution to wireless localization theory and practice.^[7] In the same year, he also received one of the five Distinguished Young Scholar Awards in Computer Science by National Natural Science Foundation of China.^[8] In 2013, Liu was named the ACM Presidential Award for his contribution to spreading the word and shared the value that ACM offers to China's vast computing community.^[9]

In 2014, the 20th Annual International Conference on Mobile Computing and Networking (ACM MobiCom) awards the best paper award to Liu's group for their paper Tagoram: Real-Time Tracking of Mobile RFID Tags to High Precision Using COTS Devices.^[10]^[11]^[12] Yunhao and his students designed and developed Tagoram, and successfully deployed this system in Terminal One, Beijing Capital International Airport and Sanya Phoenix International Airport. The prototype ran over a year and consumed 110,000 RFID tags involving 53 destination airports, 93 airlines, and 1,094 flights. Based on the observation that the tag diversity is the key to the localization performance, they designed and implemented Differential Augmented Hologram (DAH) localization scheme, which successfully eliminated the impact of tag diversity on the localization accuracy, and improved the localization performance to millimeter-level, which was 40 times better than the state-of-the-art. The Tagoram system also won the Gold Award in Soft China Forum 2013, which is the highest honor in Chinese Software industry.^[12]^[13] It was the first time that the conference awards its highest award to an Asian institution.

In 2015, Liu was named Fellow of the Association for Computing Machinery (ACM) for contributions to sensor networks,^[1] and Fellow of the Institute of Electrical and Electronics Engineers (IEEE) for contributions to wireless sensor networks and systems.^[2]

MobiCom 2014 Best paper award MCBestPP.png — MobiCom 2014 Best paper award

In 2016, Liu was awarded the IOT Young Achievement Award^[14] for his contribution to the Internet of Things by China Computer Federation.

In 2017, Liu was named CSE Distinguished Alumni by Michigan State University.^[15]

In 2018, Liu was named MSU Foundation Professor by Michigan State University.^[16]

In 2021, Liu was awarded the Best Student Paper Award of SIGCOMM 2021, and the Best Paper of Sensys 2021.

Notable publications

Books:

Liu, Yunhao, and Zheng Yang. Location, localization, and localizability: location-awareness technology for wireless networks. Springer Science & Business Media, 2010.^[17]
Liu, Yunhao. "Introduction to internet of things." Beijing. The Science Press, 2010.

Selected journal articles:

Lionel, M. N., Liu, Y., Lau, Y. C., & Patil, A. P. (2004). LANDMARC: indoor location sensing using active RFID. Wireless networks, 10(6), 701-710.
Yang, Z., Zhou, Z., & Liu, Y. (2013). From RSSI to CSI: Indoor localization via channel response. ACM Computing Surveys, 46(2), 25.
Wu, C., Yang, Z., Liu, Y., & Xi, W. (2012). WILL: Wireless indoor localization without site survey. IEEE Transactions on Parallel and Distributed Systems, 24(4), 839-848.
Li, M., & Liu, Y. (2009). Underground coal mine monitoring with wireless sensor networks. ACM Transactions on Sensor Networks (TOSN), 5(2), 10.
Li, M., & Liu, Y. (2010). Rendered path: range-free localization in anisotropic sensor networks with holes. IEEE/ACM Transactions on Networking (ToN), 18(1), 320-332.
Liu, Y., He, Y., Li, M., Wang, J., Liu, K., & Li, X. (2012). Does wireless sensor network scale? A measurement study on GreenOrbs. IEEE Transactions on Parallel and Distributed Systems, 24(10), 1983-1993.
Liu, Y., Liu, K., & Li, M. (2010). Passive diagnosis for wireless sensor networks. IEEE/ACM Transactions on Networking (TON), 18(4), 1132-1144.
Yang, Z., & Liu, Y. (2009). Quality of trilateration: Confidence-based iterative localization. IEEE Transactions on Parallel and Distributed Systems, 21(5), 631-640.
Liu, Y., Xiao, L., Liu, X., Ni, L. M., & Zhang, X. (2005). Location awareness in unstructured peer-to-peer systems. IEEE Transactions on Parallel and Distributed Systems, 16(2), 163-174.
Sensys 2021 Best Paper Award
Liu, Y., Zhao, Y., Chen, L., Pei, J., & Han, J. (2011). Mining frequent trajectory patterns for activity monitoring using radio frequency tag arrays. IEEE Transactions on Parallel and Distributed Systems, 23(11), 2138-2149.
Yang, Z., & Liu, Y. (2011). Understanding node localizability of wireless ad hoc and sensor networks. IEEE Transactions on Mobile Computing, 11(8), 1249-1260.
Dong, D., Li, M., Liu, Y., Li, X. Y., & Liao, X. (2011). Topological detection on wormholes in wireless ad hoc and sensor networks. IEEE/ACM Transactions on Networking (TON), 19(6), 1787-1796.
Liu, Y., Xiao, L., & Ni, L. (2007). Building a scalable bipartite P2P overlay network. IEEE Transactions on Parallel and distributed systems, 18(9), 1296-1306.
Liu, Y., Mao, X., He, Y., Liu, K., Gong, W., & Wang, J. (2013). CitySee: Not only a wireless sensor network. IEEE Network, 27(5), 42-47.
Yin, Z., Wu, C., Yang, Z., & Liu, Y. (2017). Peer-to-peer indoor navigation using smartphones. IEEE Journal on Selected Areas in Communications, 35(5), 1141-1153.
Qian, K., Wu, C., Yang, Z., Liu, Y., He, F., & Xing, T. (2018). Enabling contactless detection of moving humans with dynamic speeds using CSI. ACM Transactions on Embedded Computing Systems (TECS), 17(2), 52.
Zhou, Z., Shangguan, L., Zheng, X., Yang, L., & Liu, Y. (2017). Design and implementation of an RFID-based customer shopping behavior mining system. IEEE/ACM transactions on networking, 25(4), 2405-2418.
Yang, L., Li, Y., Lin, Q., Jia, H., Li, X. Y., & Liu, Y. (2017). Tagbeat: Sensing mechanical vibration period with COTS RFID systems. IEEE/ACM Transactions on Networking (TON), 25(6), 3823-3835.
Ma, Q., Zhang, S., Zhu, T., Liu, K., Zhang, L., He, W., & Liu, Y. (2016). PLP: Protecting location privacy against correlation analyze attack in crowdsensing. IEEE transactions on mobile computing, 16(9), 2588-2598.
Duan, C., Yang, L., Lin, Q., & Liu, Y. (2018). Tagspin: High accuracy spatial calibration of RFID antennas via spinning tags. IEEE Transactions on Mobile Computing, 17(10), 2438-2451.

Selected conference articles:

Yang, Q., Li, Z., Liu, Y., Long, H., Huang, Y., He, J., ... & Zhai, E. Mobile Gaming on Personal Computers with Direct Android Emulation. In Proceedings of ACM MobiCom 2019.
Yan, Y., Li, Z., Chen, Q. A., Wilson, C., Xu, T., Zhai, E., ... & Liu, Y. Understanding and Detecting Overlay-based Android Malware at Market Scales. In Proceedings of ACM MobiSys 2019.
Xiao, A., Liu, Y., Li, Y., Qian, F., Li, Z., Bai, S., ... & Xin, X. An In-depth Study of Commercial MVNO: Measurement and Optimization. In Proceedings of ACM MobiSys 2019.
Dang, F., Li, Z., Liu, Y., Zhai, E., Chen, Q. A., Xu, T., ... & Yang, J. Understanding Fileless Attacks on Linux-based IoT Devices with HoneyCloud. In Proceedings of ACM MobiSys 2019.
Zheng, Y., Zhang, Y., Qian, K., Zhang, G., Liu, Y., Wu, C., & Yang, Z. Zero-Effort Cross-Domain Gesture Recognition with Wi-Fi. In Proceedings of ACM MobiSys 2019.
Zhang, K., Wu, C., Yang, C., Zhao, Y., Huang, K., Peng, C., ... & Yang, Z. ChromaCode: A Fully Imperceptible Screen-Camera Communication System. In Proceedings of ACM MobiCom 2018.
Qian, K., Wu, C., Zhang, Y., Zhang, G., Yang, Z., & Liu, Y. Widar2.0: Passive human tracking with a single wi-fi link. In Proceedings of ACM MobiSys 2018.
Liu, C., Zhang, L., Liu, Z., Liu, K., Li, X., & Liu, Y. Lasagna: towards deep hierarchical understanding and searching over mobile sensing data. In Proceedings of ACM MobiCom 2016.
Yang, L., Li, Y., Lin, Q., Li, X. Y., & Liu, Y. Making sense of mechanical vibration period with sub-millisecond accuracy using backscatter signals. In Proceedings of ACM MobiCom 2016.
Yang, L., Lin, Q., Li, X., Liu, T., & Liu, Y. See through walls with cots rfid system!. In Proceedings of ACM MobiCom 2015.
Zhang, L., Bo, C., Hou, J., Li, X. Y., Wang, Y., Liu, K., & Liu, Y. Kaleido: You can watch it but cannot record it. In Proceedings of ACM MobiCom 2015.
Shangguan, L., Yang, Z., Liu, A. X., Zhou, Z., & Liu, Y. Relative Localization of RFID Tags using Spatial-Temporal Phase Profiling. In Proceedings of USENIX NSDI 2015.
Zhu, T., Ma, Q., Zhang, S., & Liu, Y. Context-free attacks using keyboard acoustic emanations. In Proceedings of ACM CCS 2014.
Yang, L., Chen, Y., Li, X. Y., Xiao, C., Li, M., & Liu, Y. Tagoram: Real-time tracking of mobile RFID tags to high precision using COTS devices. In Proceedings of ACM MobiCom 2014. [Best Paper Award]
Zhang, L., Li, X. Y., Huang, W., Liu, K., Zong, S., Jian, X., ... & Liu, Y. It starts with igaze: Visual attention driven networking with smart glasses. In Proceedings of ACM MobiCom 2014.
Yang, Z., Wu, C., & Liu, Y. Locating in fingerprint space: wireless indoor localization with little human intervention. In Proceedings of ACM MobiCom 2012.
Mo, L., He, Y., Liu, Y., Zhao, J., Tang, S. J., Li, X. Y., & Dai, G. Canopy closure estimates with greenorbs: Sustainable sensing in the forest. In Proceedings of ACM SenSys 2009.
Yang, Z., Liu, Y., & Li, X. Y. Beyond trilateration: On the localizability of wireless ad-hoc networks. In Proceedings ofIEEE INFOCOM 2009.
Li, M., & Liu, Y. Underground structure monitoring with wireless sensor networks. In Proceedings ACM IPSN 2007.
Liao, X., Jin, H., Liu, Y., Ni, L. M., & Deng, D. Anysee: Peer-to-peer live streaming. In Proceedings of IEEE INFOCOM 2006.
Liu, Y., Liu, X., Xiao, L., Ni, L. M., & Zhang, X. Location-aware topology matching in P2P systems. In Proceedings ofIEEE INFOCOM 2004.

Professional services

Editor for:

ACM Transactions on Sensor Network (editor-in-chief, 2017–present)
IEEE/ACM Transactions on Networking (associate editor, 2012-2016)
IEEE Transactions on Parallel and Distributed Systems (associate editors-in-chief, 2011-2015)
Tsinghua Science and Technology (associate editor-in-chief)

Program committee member for:

IEEE INFOCOM 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020
IEEE ICDCS 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2018
ACM MobiCom 2009, 2010, 2011, 2012, 2015, 2018, 2019, 2020

Chair for:

IEEE INFOCOM 2020 (PC Co-Chair)
ACM EWSN 2019 (General Co-Chair)
ACM TURC 2017-2019 (General Co-Chair)
Microsoft 21 Century Computing 2015 (General Co-Chair)
IEEE TrustCom 2014 (PC Chair)
IEEE RTAS 2012 (General Chair)
IEEE MASS 2011 (PC Chair)
IEEE ICDCS 2010, 2012 (PC Vice Chair)
WWW 2008 (General Vice Chair)

Related Research Articles

<span class="mw-page-title-main">Contiki</span> Real-time operating system

Contiki is an operating system for networked, memory-constrained systems with a focus on low-power wireless Internet of Things (IoT) devices. Contiki is used for systems for street lighting, sound monitoring for smart cities, radiation monitoring and alarms. It is open-source software released under the BSD-3-Clause license.

Wireless sensor networks (WSNs) refer to networks of spatially dispersed and dedicated sensors that monitor and record the physical conditions of the environment and forward the collected data to a central location. WSNs can measure environmental conditions such as temperature, sound, pollution levels, humidity and wind.

SIGMOBILE is the Association for Computing Machinery's Special Interest Group on Mobility of Systems, Users, Data and Computing, which specializes in the field of mobile computing and wireless networks and wearable computing.

Lin Yi-bing or Jason Lin is a Taiwanese academic who has served as the Chair Professor of the Department of Computer Science and Information Engineering (CSIE) at National Chiao Tung University (NCTU) since 1995, and since 2002, the Chair Professor of the Department of Computer Science and Information Management (CSIM), at Providence University, a Catholic university in Taiwan. He also serves as Vice President of the National Chiao Tung University.

Geographic routing is a routing principle that relies on geographic position information. It is mainly proposed for wireless networks and based on the idea that the source sends a message to the geographic location of the destination instead of using the network address. In the area of packet radio networks, the idea of using position information for routing was first proposed in the 1980s for interconnection networks. Geographic routing requires that each node can determine its own location and that the source is aware of the location of the destination. With this information, a message can be routed to the destination without knowledge of the network topology or a prior route discovery.

<span class="mw-page-title-main">Ian F. Akyildiz</span> President and CTO of the Truva Inc

Ian F. Akyildiz is a Turkish-American electrical engineer. He received his BS, MS, and PhD degrees in Electrical and Computer Engineering from the University of Erlangen-Nürnberg, Germany, in 1978, 1981 and 1984, respectively. Currently, he is the President and CTO of the Truva Inc. since March 1989. He retired from the School of Electrical and Computer Engineering (ECE) at Georgia Tech in 2021 after almost 35 years service as Ken Byers Chair Professor in Telecommunications and Chair of the Telecom group.

An indoor positioning system (IPS) is a network of devices used to locate people or objects where GPS and other satellite technologies lack precision or fail entirely, such as inside multistory buildings, airports, alleys, parking garages, and underground locations.

Wi-Fi positioning system is a geolocation system that uses the characteristics of nearby Wi‑Fi access point to discover where a device is located.

Activity recognition aims to recognize the actions and goals of one or more agents from a series of observations on the agents' actions and the environmental conditions. Since the 1980s, this research field has captured the attention of several computer science communities due to its strength in providing personalized support for many different applications and its connection to many different fields of study such as medicine, human-computer interaction, or sociology.

A wireless identification and sensing platform (WISP) is an RFID device that supports sensing and computing: a microcontroller powered by radio-frequency energy. That is, like a passive RFID tag, WISP is powered and read by a standard off-the-shelf RFID reader, harvesting the power it uses from the reader's emitted radio signals. To an RFID reader, a WISP is just a normal EPC gen1 or gen2 tag; but inside the WISP, the harvested energy is operating a 16-bit general purpose microcontroller. The microcontroller can perform a variety of computing tasks, including sampling sensors, and reporting that sensor data back to the RFID reader. WISPs have been built with light sensors, temperature sensors, and strain gauges. Some contain accelerometers. WISPs can write to flash and perform cryptographic computations. The WISP was originally developed by Intel Research Seattle, but after their closure development work has continued at the Sensor Systems Laboratory at the University of Washington in Seattle.

Hari Balakrishnan is the Fujitsu Professor of Computer Science and Artificial Intelligence in the Department of Electrical Engineering and Computer Science at MIT, and the Co-founder and CTO at Cambridge Mobile Telematics.

Lin Zhong is a Chinese American computer scientist. He is currently a Professor of Computer Science with Yale University. He received his B.S and M.S. in electronic engineering from Tsinghua University and Ph.D. in electrical engineering from Princeton University. From 2005 to 2019, he was with Rice University. At Yale, he leads the Efficient Computing Lab to make computing, communication, and interfacing more efficient and effective. He and his students received the best paper awards from ACM MobileHCI, IEEE PerCom, IEEE QCE, ACM MobiSys (3), and ACM ASPLOS. He is a recipient of the NSF CAREER Award, the Duncan Award from Rice University, the RockStar Award (2014) and Test of Time Award (2022) from ACM SIGMOBILE. He is a Fellow of IEEE and ACM.

Margaret Martonosi is an American computer scientist who is currently the Hugh Trumbull Adams '35 Professor of Computer Science at Princeton University. Martonosi is noted for her research in computer architecture and mobile computing with a particular focus on power-efficiency.

Victor Bahl is an Indian Technical Fellow and CTO of Azure for Operators at Microsoft. He started networking research at Microsoft. He is known for his research contributions to white space radio data networks, radio signal-strength based indoor positioning systems, multi-radio wireless systems, wireless network virtualization, edge computing, and for bringing wireless links into the datacenter. He is also known for his leadership of the mobile computing community as the co-founder of the ACM Special Interest Group on Mobility of Systems, Users, Data, and Computing (SIGMOBILE). He is the founder of international conference on Mobile Systems, Applications, and Services Conference (MobiSys), and the founder of ACM Mobile Computing and Communications Review, a quarterly scientific journal that publishes peer-reviewed technical papers, opinion columns, and news stories related to wireless communications and mobility. Bahl has received important awards; delivered dozens of keynotes and plenary talks at conferences and workshops; delivered over six dozen distinguished seminars at universities; written over hundred papers with more than 65,000 citations and awarded over 100 US and international patents. He is a Fellow of the Association for Computing Machinery, IEEE, and American Association for the Advancement of Science.

Ramesh Govindan is an Indian-American professor of computer science. He is the Northrop Grumman Chair in Engineering and Professor of Computer Science and Electrical Engineering at the University of Southern California.

Atta ur Rehman Khan is a computer scientist and academician who has contributed to multiple domains of the field. According to a Stanford University report, he is among World's Top 2% Scientists. He is the founder of National Cyber Crime Forensics Lab Pakistan, which operates in partnership with NR3C. He has published numerous research articles and books. He is a senior member of IEEE and ACM.

<span class="mw-page-title-main">Moustafa Youssef</span> Egyptian computer scientist

Moustafa Youssef is an Egyptian computer scientist who was named Fellow of the Institute of Electrical and Electronics Engineers (IEEE) in 2019 for contributions to wireless location tracking technologies and a Fellow of the Association for Computing Machinery (ACM) in 2019 for contributions to location tracking algorithms. He is the first and only ACM Fellow in the Middle East and Africa.

Zygmunt J. Haas is a professor and distinguished chair in computer science, University of Texas at Dallas (UTD) also the professor emeritus in electrical and computer engineering, Cornell University. His research interests include ad hoc networks, wireless networks, sensor networks, and zone routing protocols.

Roy Want is a computer scientist born in London, United Kingdom in 1961. He received his PhD from Cambridge University (UK) in 1988 for his work on multimedia Distributed Systems; and is known for his work on indoor positioning, mobile and ubiquitous computing, automatic identification and the Internet of Things (IoT). He lives in Silicon Valley, California, and has authored or co-authored over 150 papers and articles on mobile systems, and holds 100+ patents. In 2011 he joined Google as a senior research scientist, and is in the Android group. Previous roles include senior principal engineer at Intel, and principal scientist at Xerox PARC...

Mi Zhang is a computer scientist at Ohio State University, where he is an Associate Professor of Computer Science and Engineering and the director of AIoT and Machine Learning Systems Lab. He is best known for his work in Edge AI, Artificial Intelligence of Things (AIoT), machine learning systems, and mobile health.

References

1 2 "Yunhao Liu". awards.acm.org. Retrieved 2019-10-07.
1 2 "2015 elevated fellow" (PDF). IEEE Fellows Directory.
↑ "ACM TOSN". ACM Transactions on Sensor Networks (TOSN). Retrieved 2019-10-07.
↑ "People of ACM: Yunhao Liu". www.acm.org. Retrieved 2019-11-09.
↑ "Hong Kong ICT Awards 2007: Winner List". www.iraward.hk. Retrieved 2019-10-07.
↑ "HKUST Reaps Largest Number of Awards Among Hong Kong's Tertiary Institutions in Ministry of Education Award for Research Excellence | The Hong Kong University of Science and Technology". www.ust.hk. Retrieved 2019-10-09.
↑ "2011年度国家自然科学奖获奖项目". www.most.gov.cn. Retrieved 2019-10-07.
↑ "国家自然科学基金委创新群体/杰青/优青获得者 - 清华大学 - Tsinghua University". www.tsinghua.edu.cn. Retrieved 2019-10-07.
↑ "Yunhao Liu". awards.acm.org. Retrieved 2019-10-07.
↑ Yang, Lei; Chen, Yekui; Li, Xiang-Yang; Xiao, Chaowei; Li, Mo; Liu, Yunhao (2014). "Tagoram". Proceedings of the 20th annual international conference on Mobile computing and networking. MobiCom '14. New York, NY, USA: ACM. pp. 237–248. doi:10.1145/2639108.2639111. ISBN 9781450327831. S2CID 18244725.
↑ "MobiCom 2014: The 20th Annual International Conference on Mobile Computing and Networking". www.sigmobile.org. Retrieved 2019-10-07.
1 2 "软件学院刘云浩团队获ACM移动与无线通信年会最佳论文奖 - 清华大学新闻网". www.tsinghua.edu.cn. Retrieved 2019-10-07.
↑ "追踪定位机场行李精准至毫米级_财经_中国网". finance.china.com.cn. Retrieved 2019-10-07.
↑ "清华大学软件学院". thss.tsinghua.edu.cn. Retrieved 2019-10-07.
↑ "CSE Distinguished Alumni Award | Computer Science and Engineering". www.cse.msu.edu. Retrieved 2019-10-07.
↑ "MSU Foundation Professors | Senior Vice President for Research and Innovation". vp.research.msu.edu. Retrieved 2019-10-07.
↑ Liu, Yunhao; Yang, Zheng (2010-11-01). Location, Localization, and Localizability: Location-awareness Technology for Wireless Networks. Springer Science & Business Media. ISBN 9781441973719.

External links

Yunhao Liu at Michigan State University.
Yunhao Liu at Tsinghua University (Chinese).
Yunhao Liu - Google Scholar.
People of ACM - Yunhao Liu.

This page is based on this Wikipedia article
Text is available under the CC BY-SA 4.0 license; additional terms may apply.
Images, videos and audio are available under their respective licenses.

[:0-1] 1 2 "Yunhao Liu". awards.acm.org. Retrieved 2019-10-07.

[:1-2] 1 2 "2015 elevated fellow" (PDF). IEEE Fellows Directory.

[3] "ACM TOSN". ACM Transactions on Sensor Networks (TOSN). Retrieved 2019-10-07.

[4] "People of ACM: Yunhao Liu". www.acm.org. Retrieved 2019-11-09.

[5] "Hong Kong ICT Awards 2007: Winner List". www.iraward.hk. Retrieved 2019-10-07.

[6] "HKUST Reaps Largest Number of Awards Among Hong Kong's Tertiary Institutions in Ministry of Education Award for Research Excellence | The Hong Kong University of Science and Technology". www.ust.hk. Retrieved 2019-10-09.

[7] "2011年度国家自然科学奖获奖项目". www.most.gov.cn. Retrieved 2019-10-07.

[8] "国家自然科学基金委创新群体/杰青/优青获得者 - 清华大学 - Tsinghua University". www.tsinghua.edu.cn. Retrieved 2019-10-07.

[9] "Yunhao Liu". awards.acm.org. Retrieved 2019-10-07.

[10] Yang, Lei; Chen, Yekui; Li, Xiang-Yang; Xiao, Chaowei; Li, Mo; Liu, Yunhao (2014). "Tagoram". Proceedings of the 20th annual international conference on Mobile computing and networking. MobiCom '14. New York, NY, USA: ACM. pp. 237–248. doi:10.1145/2639108.2639111. ISBN 9781450327831. S2CID 18244725.

[11] "MobiCom 2014: The 20th Annual International Conference on Mobile Computing and Networking". www.sigmobile.org. Retrieved 2019-10-07.

[:2-12] 1 2 "软件学院刘云浩团队获ACM移动与无线通信年会最佳论文奖 - 清华大学新闻网". www.tsinghua.edu.cn. Retrieved 2019-10-07.

[13] "追踪定位机场行李精准至毫米级_财经_中国网". finance.china.com.cn. Retrieved 2019-10-07.

[14] "清华大学软件学院". thss.tsinghua.edu.cn. Retrieved 2019-10-07.

[15] "CSE Distinguished Alumni Award | Computer Science and Engineering". www.cse.msu.edu. Retrieved 2019-10-07.

[vp.research.msu.edu-16] "MSU Foundation Professors | Senior Vice President for Research and Innovation". vp.research.msu.edu. Retrieved 2019-10-07.

[17] Liu, Yunhao; Yang, Zheng (2010-11-01). Location, Localization, and Localizability: Location-awareness Technology for Wireless Networks. Springer Science & Business Media. ISBN 9781441973719.

[1]

[2]

[3]

[4]

[5]

[6]

[7]

[8]

[9]

[10]

[11]

[12]

[13]

[14]

[15]

[16]

[17]