Ruizhe Shi, Ruizhi Cheng, Bo Han, Yue Cheng, and Songqing Chen. "A Closer Look into IPFS: Accessibility, Content, and Performance". Proceedings of the the ACM SIGMETRICS / IFIP Performance 2024, Venice, Italy, June 10 - 14, 2024.
Na Wang, Jin Zhou, Jie Li, Bo Han, Fei Li, and Songqing
Chen. "HardenVR: Harassment Detection in Social Virtual Reality".
Proceedings of the 31st IEEE Conference on Virtual Reality and 3D User
Interfaces (VR 2024), Orlando, FL, March 16-21, 2024.
Ruizhi Cheng, Erdem Murat, Lap-Fai Yu, Songqing Chen, and Bo Han. "Understanding Online Education in Metaverse: Systems and User Experience Perspectives". Proceedings of the 31st IEEE Conference on Virtual Reality and 3D
User Interfaces (VR 2024), Orlando, FL, March 16-21, 2024.
Yuyang Leng, Renyuan Liu, Hongpeng Guo, Songqing Chen, and Shuochao
Yao. "ScaleFlow: Efficient Deep Vision Pipeline with Closed-Loop
Scale-Adaptive Inference". Proceedings of the 31st ACM International
Conference on Multimedia (MM'23), Ottawa, Canada, Oct. 29 - Nov. 3, 2023.
Yuqi Fu, Li Liu, Haoliang Wang, Yue Cheng, and Songqing Chen. “Smart OS Scheduling for Serverless Functions”. Proceedings of the International Conference for High Performance Computing, Networking, Storage, and Analysis (SC'22), Dallas, TX, November 13 - 18, 2022. (Best Student Paper Finalist)
Xu He, Shu Wang, Yunlong Xing, Pengbin Feng, Haining Wang, Qi Li, Songqing Chen, and Kun Sun. “BinProv: Binary Code Provenance Identification without Disassembly”. Proceedings of the 25th International Symposium on Research in Attacks, Intrusions and Defenses (RAID 2022), Limassol, Cyprus, October 26 - 28, 2022.
Ruizhi Cheng, Nan Wu, Matteo Varvello, Songqing Chen, and Bo Han. “Are We Ready for Metaverse? A Measurement Study of Social Virtual Reality Platforms”. Proceedings of the ACM Internet Measurement Conference (IMC’22), Nice, France, October 25 - 27, 2022.
Jin Zhou, Na Li, Yao Liu, Shuochao Yao, and Songqing Chen. “Exploring Spherical Autoencoder for Spherical Video Content Processing”. Proceedings of the ACM International Conference on Multimedia (MM’22), Lisbon, Portugal, October 10 - 14, 2022.
Mengbai Xiao, Ph.D., defended in May 2018, Qilu Young Professor of Computer
Science at Shandong University.
Wentao Chang, Ph.D., defended in May 2018, Google.
An Wang, Ph.D., defended in April 2018, Assistant Professor of
Computer Science at Case Western Reserve University (Google Faculty Research Award).
Huangxin Wang, Ph.D., co-advising, defended in May 2017, Facebook.
Mohammad Karami, Ph.D., co-advising, defended in May 2016, Google.
Ming Zhang, M.S., May 2015, Amazon.
Mohammed Hassan, Ph.D., defended in November 2014, Google.
Xin Li, M.S., defended in April 2013, Samsung Research America Dallas.
Yao Liu, Ph.D., defended in April 2013, Assistant Professor of ECE at Rutgers University (NSF CAREER Award).
Kshitiz Bhattarai, M.S., December 2012, SAP Lab.
Lei Liu, Ph.D., defended in December 2010, Vuclip.
Dongyu Liu, Ph.D., defended in August 2009, MicroStrategy.
Some Open Source Code
ffmpeg360: It is a tool for rendering 360-degree videos and converting
between projection types. Operations are performed on the GPU within
a fork of the FFmpeg utility. Its GitHub repository is here. Please refer to our paper for more details.
CAD (Content Assited Displaying for Mobile Device Power Saving): CAD
for the online video calls is based on WebRTC. The implementation
utilizes the GPU on mobile devices. Its GitHub repository is
here. For more technical detail, please refer to our paper.
UMON (User Defined Monitoring for SDN based networks): UMON implements
a separate monitoring table that decouples monitoring from switching in the open vSwitches.
Its GitHub repository is here. For more technical detail, please refer to our paper.
XEN Scheduler: Cloud is subject to various side channel attacks due to
underlying sharing of the physical resources. Our new schedulers can
effectively mitigate such threats. Its GitHub repository is here. For more technical detail, please refer to our paper.
rKube: Containers are widely used in clouds, but they often fail to
deliver the anticipated performance with the allocated
resources. Our new mechanism, rKube, can
effectively address that on top of Kubernetes and Linux. Its GitHub repository is here. For more technical detail, please refer to our paper.