Sotabase

Career

· Concurrent Role, Sony Interactive Entertainment2025–
· Streaming Architect (Contract Role), Alibaba Group2023–2023
· Research Engineer, Sony2023–
· Research Intern, Tencent2022–2022
· Research Intern, Kuaishou Technology2021–2022
· Research Intern, Kuaishou Technology2020–2020
· Doctor of Philosophy, Computer Science, Tsinghua University2019–2023
· Research Intern, Huawei2018–2019
· Master's degree, Computer Science, 贵州大学2015–2018
· Bachelor of Science, Electrical and Electronics Engineering, 上海应用技术大学2008–2012

Publications (48)

Comyco: Quality-Aware Adaptive Video Streaming via Imitation Learning
ACM Multimedia · 2019
111
cited
QARC: Video Quality Aware Rate Control for Real-Time Video Streaming based on Deep Reinforcement Learning
ACM Multimedia · 2018
106
cited
Towards Faster and Better Federated Learning: A Feature Fusion Approach
International Conference on Information Photonics · 2019
89
cited
Federated Learning with Unbiased Gradient Aggregation and Controllable Meta Updating
arXiv.org · 2019
76
cited
Stick: A Harmonious Fusion of Buffer-based and Learning-based Approach for Adaptive Streaming
IEEE Conference on Computer Communications · 2020
59
cited
Quality-Aware Neural Adaptive Video Streaming With Lifelong Imitation Learning
IEEE Journal on Selected Areas in Communications · 2020
55
cited
Federated Learning with Additional Mechanisms on Clients to Reduce Communication Costs
arXiv.org · 2019
41
cited
Learning Tailored Adaptive Bitrate Algorithms to Heterogeneous Network Conditions: A Domain-Specific Priors and Meta-Reinforcement Learning Approach
IEEE Journal on Selected Areas in Communications · 2022
41
cited
Enhancing the crowdsourced live streaming: a deep reinforcement learning approach
International Workshop on Network and Operating System Support for Digital Audio and Video · 2019
27
cited
Deep reinforced bitrate ladders for adaptive video streaming
International Workshop on Network and Operating System Support for Digital Audio and Video · 2021
26
cited
Adversarial Feature Alignment: Avoid Catastrophic Forgetting in Incremental Task Lifelong Learning
Neural Computation · 2019
25
cited
Zwei: A Self-Play Reinforcement Learning Framework for Video Transmission Services
IEEE transactions on multimedia · 2021
23
cited
AggCast: Practical Cost-effective Scheduling for Large-scale Cloud-edge Crowdsourced Live Streaming
ACM Multimedia · 2022
22
cited
Buffer Awareness Neural Adaptive Video Streaming for Avoiding Extra Buffer Consumption
IEEE Conference on Computer Communications · 2023
22
cited
Optimizing Adaptive Video Streaming with Human Feedback
ACM Multimedia · 2023
22
cited
Tiyuntsong: A Self-Play Reinforcement Learning Approach for ABR Video Streaming
IEEE International Conference on Multimedia and Expo · 2018
22
cited
Livesmart: A QoS-Guaranteed Cost-Minimum Framework of Viewer Scheduling for Crowdsourced Live Streaming
ACM Multimedia · 2019
19
cited
Self-play reinforcement learning for video transmission
International Workshop on Network and Operating System Support for Digital Audio and Video · 2020
15
cited
Leveraging QoE Heterogenity for Large-Scale Livecaset Scheduling
ACM Multimedia · 2020
14
cited
RDladder: Resolution-Duration Ladder for VBR-encoded Videos via Imitation Learning
IEEE Conference on Computer Communications · 2023
14
cited
Sotabase
Tianchi Huang | Researcher Profile | Sotabase | Sotabase