Loading [MathJax]/extensions/MathZoom.js

Tongyu Zong - IEEE Xplore Author Profile

IEEE.org
IEEE Xplore
IEEE SA
IEEE Spectrum
More Sites

- Donate
- Personal Sign In

Access provided by:

MIT Libraries

Access provided by:

MIT Libraries

ADVANCED SEARCH

Author details

Tongyu Zong

Publications

8

Citations

91

Publications by Year

20182023

Co-Authors:

Li AiHouwei CaoYibo FanYize JinYuanyuan Lei

Show All Co-Authors (16)

Tongyu Zong

Affiliation

Department of Electrical and Computer Engineering

Tandon School of Engineering

New York University, Brooklyn, NY, USA

Publication Topics

Optimal Control,
Deep Reinforcement Learning,
Deep Reinforcement Learning Model,
Live Streaming,
Model Predictive Control,
Network State,
Reinforcement Learning Agent,
Time Slot,
Video Quality,
Video Segments,
Actor Network,
Cache Hit

Biography

Tongyu Zong (Graduate Student Member, IEEE) received the B.S. and M.E. degrees in microelectronics from Fudan University, Shanghai, China, in 2016 and 2018, respectively. He is currently working toward the Ph.D. degree in electrical and engineering with New York University, NY, USA, from 2018. His research interests include edge caching, video streaming and reinforcement learning.(Based on document published on 8 February 2022).

Publications

8

Citations

91

Publications by Year

20182023

Co-Authors:

Li Ai
Houwei Cao
Yibo Fan
Yize Jin
Yuanyuan Lei

Show All Co-Authors (16)

Author's Published Works

Search History

Showing 1-8 of 8 results

Conferences (5)

Journals (3)

Sort

Filter Results

Show

Subscribed Content

Open Access Only

Range
Single Year
Tongyu Zong(8)
Yong Liu(6)
Liyang Sun(4)
Yao Wang(3)
Xiaoyang Zeng(2)
Department of Electrical and Computer Engineering, Tandon School of Engineering, New York University, Brooklyn, NY, USA(3)
China North Industries Group Corporation, Beijing, China(2)
State Key Lab of ASIC & System, Fudan University, Shanghai, China(1)
Electrical and Computer Engineering Department, Tandon School of Engineering, New York University, Brooklyn, NY, USA(1)
Futurewei Technologies(1)
2018 IEEE International Conference on Consumer Electronics (ICCE)(2)
IEEE/ACM Transactions on Networking(2)
2019 IEEE 27th International Conference on Network Protocols (ICNP)(1)
2021 IEEE International Conference on Robotics and Automation (ICRA)(1)
IEEE INFOCOM 2021 - IEEE Conference on Computer Communications(1)
IEEE(8)
Media(1)
Las Vegas, NV, USA(2)
Chicago, IL, USA(1)
Vancouver, BC, Canada(1)
Xi'an, China(1)
Optimal Control(4)
Deep Reinforcement Learning(3)
Deep Reinforcement Learning Model(3)
Live Streaming(3)
Model Predictive Control(3)

Select All on Page

Sort By

Results

Cocktail Edge Caching: Ride Dynamic Trends of Content Popularity With Ensemble Learning

Tongyu Zong;Chen Li;Yuanyuan Lei;Guangyu Li;Houwei Cao;Yong Liu

IEEE/ACM Transactions on Networking

Year: 2023 | Volume: 31, Issue: 1 | Journal Article |

Cited by: Papers (23)

HTML

Edge caching will play a critical role in facilitating the emerging content-rich applications. However, it faces many new challenges, in particular, the highly dynamic content popularity and the heterogeneous caching configurations. In this paper, we propose Cocktail Edge Caching, that tackles the dynamic popularity and heterogeneity through ensemble learning. Instead of trying to find a single do...Show More

Cocktail Edge Caching: Ride Dynamic Trends of Content Popularity With Ensemble Learning

Tongyu Zong;Chen Li;Yuanyuan Lei;Guangyu Li;Houwei Cao;Yong Liu

IEEE/ACM Transactions on Networking

Year: 2023 | Volume: 31, Issue: 1 | Journal Article |

Live 360 Degree Video Delivery Based on User Collaboration in a Streaming Flock

Liyang Sun;Yixiang Mao;Tongyu Zong;Yong Liu;Yao Wang

IEEE Transactions on Multimedia

Year: 2023 | Volume: 25 | Journal Article |

Cited by: Papers (7)

HTML

Streaming of live 360-degree video allows users to follow a live event from any view point and has already been deployed on some commercial platforms. However, the current systems can only stream the video at relatively low-quality because the entire 360-degree video is delivered to the users under limited bandwidth. Streaming video falling into user field of view (FoV) can improve bandwidth effic...Show More

Live 360 Degree Video Delivery Based on User Collaboration in a Streaming Flock

Liyang Sun;Yixiang Mao;Tongyu Zong;Yong Liu;Yao Wang

IEEE Transactions on Multimedia

Year: 2023 | Volume: 25 | Journal Article |

Reinforced iLQR: A Sample-Efficient Robot Locomotion Learning

Tongyu Zong;Liyang Sun;Yong Liu

2021 IEEE International Conference on Robotics and Automation (ICRA)

Year: 2021 | Conference Paper |

Cited by: Papers (9)

HTML

Robot locomotion is a major challenge in robotics. Model-based approaches are vulnerable to model errors, and incur high computation overhead resulted from long control horizon. Model-free approaches are trained with a large number of training samples, which are expensive to obtain. In this paper, we develop a hybrid control and learning framework, called Reinforced iLQR (RiLQR), which combines th...Show More

Reinforced iLQR: A Sample-Efficient Robot Locomotion Learning

Tongyu Zong;Liyang Sun;Yong Liu

2021 IEEE International Conference on Robotics and Automation (ICRA)

Year: 2021 | Conference Paper |

Cocktail Edge Caching: Ride Dynamic Trends of Content Popularity with Ensemble Learning

Tongyu Zong;Chen Li;Yuanyuan Lei;Guangyu Li;Houwei Cao;Yong Liu

IEEE INFOCOM 2021 - IEEE Conference on Computer Communications

Year: 2021 | Conference Paper |

Cited by: Papers (14)

HTML

Edge caching will play a critical role in facilitating the emerging content-rich applications. However, it faces many new challenges, in particular, the highly dynamic content popularity and the heterogeneous caching configurations. In this paper, we propose Cocktail Edge Caching, that tackles the dynamic popularity and heterogeneity through ensemble learning. Instead of trying to find a single do...Show More

Cocktail Edge Caching: Ride Dynamic Trends of Content Popularity with Ensemble Learning

Tongyu Zong;Chen Li;Yuanyuan Lei;Guangyu Li;Houwei Cao;Yong Liu

IEEE INFOCOM 2021 - IEEE Conference on Computer Communications

Year: 2021 | Conference Paper |

Towards Optimal Low-Latency Live Video Streaming

Liyang Sun;Tongyu Zong;Siquan Wang;Yong Liu;Yao Wang

IEEE/ACM Transactions on Networking

Year: 2021 | Volume: 29, Issue: 5 | Journal Article |

Cited by: Papers (19)

HTML

Low-latency is a critical user Quality-of-Experience (QoE) metric for live video streaming. It poses significant challenges for streaming over the Internet. In this paper, we explore the design space of low-latency live streaming by developing dynamic models and optimal adaptation strategies to establish QoE upper bounds as a function of the allowable end-to-end latency. We further develop practic...Show More

Towards Optimal Low-Latency Live Video Streaming

Liyang Sun;Tongyu Zong;Siquan Wang;Yong Liu;Yao Wang

IEEE/ACM Transactions on Networking

Year: 2021 | Volume: 29, Issue: 5 | Journal Article |

Optimal Strategies for Live Video Streaming in the Low-latency Regime

Liyang Sun;Tongyu Zong;Yong Liu;Yao Wang;Haihong Zhu

2019 IEEE 27th International Conference on Network Protocols (ICNP)

Year: 2019 | Conference Paper |

Cited by: Papers (13)

HTML

Low-latency is a critical user Quality-of-Experience (QoE) metric for live video streaming. It poses significant challenges for streaming over the Internet. In this paper, we explore the design space of low-latency live video streaming by developing dynamic models and optimal control strategies. We further develop practical live video streaming algorithms within the Model Predictive Control (MPC) ...Show More

Optimal Strategies for Live Video Streaming in the Low-latency Regime

Liyang Sun;Tongyu Zong;Yong Liu;Yao Wang;Haihong Zhu

2019 IEEE 27th International Conference on Network Protocols (ICNP)

Year: 2019 | Conference Paper |

Panoramic video delivery based on Laplace compensation and Sphere-Markov probability model

Tongyu Zong;Zhengzhong Tu;Li Ai;Xueliang Xi;Yize Jin;Xiaoyang Zeng;Yibo Fan

2018 IEEE International Conference on Consumer Electronics (ICCE)

Year: 2018 | Conference Paper |

HTML

Virtual Reality (VR) is on the rise nowadays. To save bandwidth and ensure high quality at the same time, only the tiles within field of view (FOV) of the user should be transmitted in high quality while other tiles in low quality or even not transmitted. However, if a user's viewpoint moves fast while watching a panoramic video, low-quality content will always appear in the FOV because of the rou...Show More

Panoramic video delivery based on Laplace compensation and Sphere-Markov probability model

Tongyu Zong;Zhengzhong Tu;Li Ai;Xueliang Xi;Yize Jin;Xiaoyang Zeng;Yibo Fan

2018 IEEE International Conference on Consumer Electronics (ICCE)

Year: 2018 | Conference Paper |

Content adaptive tiling method based on user access preference for streaming panoramic video

Zhengzhong Tu;Tongyu Zong;Xueliang Xi;Li Ai;Yize Jin;Xiaoyang Zeng;Yibo Fan

2018 IEEE International Conference on Consumer Electronics (ICCE)

Year: 2018 | Conference Paper |

Cited by: Papers (6)

HTML

Tiled streaming has been proposed for delivering ultra-high resolution videos such as zoomable online lectures or panoramas. In tiled streaming, the source video is first partitioned into grid of small rectangular tile groups. Each tile group is independently encoded and compressed. When an user asks for a certain viewport at a time, the server only streams the viewed tiles to save up bandwidth. H...Show More

Content adaptive tiling method based on user access preference for streaming panoramic video

Zhengzhong Tu;Tongyu Zong;Xueliang Xi;Li Ai;Yize Jin;Xiaoyang Zeng;Yibo Fan

2018 IEEE International Conference on Consumer Electronics (ICCE)

Year: 2018 | Conference Paper |

IEEE Personal Account

Change username/password

Purchase Details

Payment Options
View Purchased Documents

Profile Information

Communications Preferences
Profession and Education
Technical interests

Need Help?

US & Canada: +1 800 678 4333
Worldwide: +1 732 981 0060
Contact & Support

Follow

About IEEE Xplore | Contact Us | Help | Accessibility | Terms of Use | Nondiscrimination Policy | IEEE Ethics Reporting | Sitemap | IEEE Privacy Policy

A public charity, IEEE is the world's largest technical professional organization dedicated to advancing technology for the benefit of humanity.

© Copyright 2025 IEEE - All rights reserved, including rights for text and data mining and training of artificial intelligence and similar technologies.

IEEE Account

Change Username/Password
Update Address

Purchase Details

Payment Options
Order History
View Purchased Documents

Profile Information

Communications Preferences
Profession and Education
Technical Interests

Need Help?

US & Canada: +1 800 678 4333
Worldwide: +1 732 981 0060
Contact & Support

About IEEE Xplore
Contact Us
Help
Accessibility
Terms of Use
Nondiscrimination Policy
Sitemap
Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest technical professional organization dedicated to advancing technology for the benefit of humanity.
© Copyright 2025 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.