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Researcher Scientist at ByteDance Multimedia Lab (San Diego) Email: ruixiao [dot] cs [dot] zhang [@] gmail [DOT] com |
My research focuses on the optimization of multimedia systems from a networking perspective, particularly in the context of video transmission over real-world networks. I work on improving the efficiency and robustness of video streaming under challenging conditions such as packet loss, limited bandwidth, and network variability. By designing adaptive algorithms and system-level optimizations, my work aims to ensure reliable video transmission in practical networking environments.
Progressive Learning with Human Feedback for Personalized Adaptive Video Streaming
Zhaohui Jiang, Xuening Feng, Tianchi Huang, Rui-Xiao Zhang, Paul Wang, Yifei Zhu
ACM Multimedia 2025
[To appear]
Generative Flow Networks for Personalized Multimedia Systems: A Case Study on Short Video Feeds
Yili Jin, Lin Pan, Rui-Xiao Zhang, Jiangchuan Liu, Xue Liu
ACM Multimedia 2025
[To appear]
EcoLens: Leveraging Multi-Objective Bayesian Optimization for Energy-Efficient Video Processing on Edge Devices
Ben Civjan, Bo Chen, Rui-Xiao Zhang, Klara Nahrstedt
SmartComp 2025
[To appear]
NeRFlow: Towards Adaptive Streaming for NeRF Videos
Rui-Xiao Zhang, Tianchi Huang, Bo Chen, Klara Nahrstedt
MobiSys 2025
[To appear]
GaugeTracker: AI-Powered Cost-Effective Analog Gauge Monitoring System
Beitong Tian, Mingyuan Wu, Rui-Xiao Zhang, Haozhen Zheng, Bo Chen, Yaohui Wang, Shiv Trivedi, Shanbo Zhang, Robert Bruce Kaufman, Leah Espenhahn, Gianni Pezzarossi, Mauro Sardela, John Dallesasse, Klara Nahrstedt
MIPR 2024
[To appear]
Scene Graph Driven Hybrid Interactive VR Teleconferencing
Mingyuan Wu, Ruifan Ji, Haozhen Zheng, Jiaxi Li, Beitong Tian, Bo Chen, Rui-Xiao Zhang, Jacob Chakareski, Michael Zink, Ramesh Sitaraman, Klara Nahrstedt
ACM Multimedia 2024 (Demo)
[To appear]
Magpie: Improving the Efficiency of A/B Tests for Large Scale Video-on-Demand Systems
Hebin Yu, Haiping Wang, Chenfei Tian, Zhichen Xue, Shuaixin Yu, Haozhe Li, Yajie Peng, Xiaofei Pang, Sandesh Dhawaskar Sathyanarayana, Rui-Xiao Zhang, Shu Shi
IMC 2024
[To appear]
Enhancing Resource Management of the World's Largest PCDN System for On-Demand Video Streaming
Rui-Xiao Zhang, Haiping Wang, Shu Shi, Xiaofei Pang, Yajie Peng, Zhichen Xue, Jiangchuan Liu
ATC 2024
[PDF]
Twist: A Multi-site Transmission Solution for On-demand Video Streaming
Haiping Wang, Rui-Xiao Zhang, Chaojun Li, Zhichen Xue, Yajie Peng, Xiaofei Pang, Yixuan Zhang, Shaorui Ren, Shu Shi
CoNEXT 2024
[PDF]
Adversarial Attacks on Federated-Learned Adaptive Bitrate Algorithms
Rui-Xiao Zhang*, Tianchi Huang*
AAAI 2024
[PDF]
Optimizing Adaptive Video Streaming with Human Feedback
Tianchi Huang*, Rui-Xiao Zhang*
ACM Multimedia 2023
[PDF]
Concerto: Client-server Orchestration for Real-Time Video Analytics
Chaoyang Li*, Rui-Xiao Zhang*, Tianchi Huang, Lianchen Jia, Lifeng Sun
ACM Multimedia 2023
[PDF]
TwinStar: A Practical Multi-path Transmission Framework for Ultra-Low Latency Video Delivery
Haiping Wang, Zhenhua Yu, Rui-Xiao Zhang, Sipin Tao, Hebin Yu, Shu Shi
ACM Multimedia 2023
[PDF]
Owl: A Pre-and Post-processing Framework for Video Analytics in Low-light Surroundings
Rui-Xiao Zhang, Chaoyang Li, Chenglei Wu, Tianchi Huang, Lifeng Sun
INFOCOM 2023
[PDF]
Who is the Rising Star? Demystifying the Promising Streamers in Crowdsourced Live Streaming
Rui-Xiao Zhang, Tianchi Huang, Chenglei Wu, Lifeng Sun
INFOCOM 2023
[PDF]
Buffer Awareness Neural Adaptive Video Streaming for Avoiding Extra Buffer Consumption
Tianchi Huang, Chao Zhou, Rui-Xiao Zhang, Chenglei Wu, Lifeng Sun
INFOCOM 2023
[PDF]
Practical Cloud-Edge Scheduling for Large-Scale Crowdsourced Live Streaming
Rui-Xiao Zhang, Changpeng Yang, Xiaochan Wang, Tianchi Huang, Chenglei Wu, Jiangchuan Liu, Lifeng Sun
IEEE Transactions on Parallel and Distributed Systems (TPDS)
[PDF]
AggCast: Practical Cost-effective Scheduling for Large-scale Cloud-edge Crowdsourced Live Streaming
Rui-Xiao Zhang, Changpeng Yang, Xiaochan Wang, Tianchi Huang, Chenglei Wu, Jiangchuan Liu, Lifeng Sun
ACM Multimedia 2022
Oral (Top 5%)
[PDF]
Learned Internet Congestion Control for Short Video Uploading
Tianchi Huang, Chao Zhou, Lianchen Jia, Rui-Xiao Zhang, Lifeng Sun
ACM Multimedia 2022
[PDF]
Learning tailored adaptive bitrate algorithms to heterogeneous network conditions: A domain-specific priors and meta-reinforcement learning approach
Tianchi Huang, Chao Zhou, Rui-Xiao Zhang, Chenglei Wu, Lifeng Sun
IEEE Journal on Selected Areas in Communications (JSAC)
[PDF]
Deep reinforced bitrate ladders for adaptive video streaming
Tianchi Huang, Rui-Xiao Zhang, Lifeng Sun
NOSSDAV 2022
[PDF]
Zwei: A self-play reinforcement learning framework for video transmission services
Tianchi Huang, Rui-Xiao Zhang, Lifeng Sun
IEEE Transactions on Multimedia (TMM)
[PDF]
A Long-Short-Term Fusion Approach for Video Cache
Rui-Xiao Zhang, Tianchi Huang, Lifeng Sun
GLOBECOM 2020
[PDF]
QoE-aware Live Streaming Scheduling at Scale
Rui-Xiao Zhang, Ming Ma, Tianchi Huang, Hanyu Li, Jiangchuan Liu, Lifeng Sun
ACM Multimedia, 2020
[PDF]
Stick: A harmonious fusion of buffer-based and learning-based approach for adaptive streaming
Tianchi Huang, Chao Zhou, Rui-Xiao Zhang, Chenglei Wu, Xin Yao, Lifeng Sun
INFOCOM 2020
[PDF]
A spherical convolution approach for learning long term viewport prediction in 360 immersive video
Chenglei Wu, Rui-Xiao Zhang, Zhi Wang, Lifeng Sun
AAAI 2020
[PDF]
A practical learning-based approach for viewer scheduling in the crowdsourced live streaming
Rui-Xiao Zhang, Ming Ma, Tianchi Huang, Haitian Pang, Xin Yao, Chenglei Wu, Lifeng Sun
ACM TOMM (Invited Paper)
[PDF]
Self-play reinforcement learning for video transmission
Tianchi Huang, Rui-Xiao Zhang, Lifeng Sun
NOSSDAV 2020
[PDF]
Quality-aware neural adaptive video streaming with lifelong imitation learning
Tianchi Huang, Chao Zhou, Xin Yao, Rui-Xiao Zhang, Chenglei Wu, Bing Yu, Lifeng Sun
JSAC
[PDF]
Generalizing rate control strategies for realtime video streaming via learning from deep learning
Tianchi Huang, Rui-Xiao Zhang, Chenglei Wu, Xin Yao, Chao Zhou, Bing Yu, Lifeng Sun
MM Asia 2019
[PDF]
Adversarial feature alignment: Avoid catastrophic forgetting in incremental task lifelong learning
Xin Yao, Tianchi Huang, Chenglei Wu, Rui-Xiao Zhang, Lifeng Sun
Neural Computation 2019
[PDF]
Federated learning with unbiased gradient aggregation and controllable meta updating
Xin Yao, Tianchi Huang, Rui-Xiao Zhang, Ruiyu Li, Lifeng Sun
Preprint
[PDF]
Comyco: Quality-aware adaptive video streaming via imitation learning
Tianchi Huang, Chao Zhou, Rui-Xiao Zhang, Chenglei Wu, Xin Yao, Lifeng Sun
ACM Multimedia 2019
[PDF]
Livesmart: A qos-guaranteed cost-minimum framework of viewer scheduling for crowdsourced live streaming
Rui-Xiao Zhang, Ming Ma, Tianchi Huang, Haitian Pang, Xin Yao, Chenglei Wu, Jiangchuan Liu, Lifeng Sun
ACM Multimedia 2019
[PDF]
Towards faster and better federated learning: A feature fusion approach
Xin Yao, Tianchi Huang, Chenglei Wu, Rui-Xiao Zhang, Lifeng Sun
ICIP 2019
[PDF]
Toward edge-assisted video content intelligent caching with long short-term memory learning
Cong Zhang, Haitian Pang, Jiangchuan Liu, Shizhi Tang, Rui-xiao Zhang, Dan Wang, Lifeng Sun
IEEE access
[PDF]
Being more effective and interpretable: Bridging the gap between heuristics and AI for ABR algorithms
Tianchi Huang, Rui-Xiao Zhang, Xin Yao, Chenglei Wu, Lifeng Sun
SIGCOMM 2019 (POSTER)
[PDF]
Federated learning with additional mechanisms on clients to reduce communication costs
Xin Yao, Tianchi Huang, Chenglei Wu, Rui-Xiao Zhang, Lifeng Sun
Preprint
[PDF]
Enhancing the crowdsourced live streaming: A deep reinforcement learning approach
Rui-Xiao Zhang, Tianchi Huang, Ming Ma, Haitian Pang, Xin Yao, Chenglei Wu, Lifeng Sun
NOSSDAV 2019
Best Student Paper
[PDF]
QARC: Video quality aware rate control for real-time video streaming based on deep reinforcement learning
Tianchi Huang, Rui-Xiao Zhang, Chao Zhou, Lifeng Sun
ACM Multimedia 2018
[PDF]
Delay-constrained rate control for real-time video streaming with bounded neural network
Tianchi Huang, Rui-Xiao Zhang, Chao Zhou, Lifeng Sun
NOSSDAV 2018
[PDF]
PC member/Reviewer: