Francis Y. Yan
where else to find them
no profile links on file
what they talk about
all 8 in the filters
where they keep going back
- NSDI2 editions2020–2023
all 5 in the filters
on a stage with
- Abhishek Vijaya Kumaronce
- Amrita Mazumdaronce
- Anton Arapinonce
all 40 in the filters
who talks about the same things
nobody close enough yet
| title | conference | date |
|---|---|---|
| Decouple and Decompose: Scaling Resource Allocation with DeDe | OSDI '25 | 2025-07-07 |
DeDe reformulates large resource-allocation LPs/MIPs by making a matrix copy, applying ADMM to decouple row (resource) and column (demand) constraints, then… | ||
| Mowgli: Passively Learned Rate Control for Real-Time Video | NSDI '25 | 2025-04-28 |
Mowgli trains a rate controller entirely offline from production GCC telemetry, using soft actor critic plus conservative Q-learning and distributional critics… | ||
| Towards Energy Efficient 5G vRAN Servers | NSDI '25 | 2025-04-28 |
RENC adjusts CPU P‑states to use sub‑second workload variation, coupling MAC layer rate limiting with ordered frequency changes so throttling happens before… | ||
| Diffy: Data-Driven Bug Finding for Configurations | PLDI 2024 | 2024-06-24 |
Diffy automatically synthesizes structured configuration templates with holes, then flags anomalous template parameters using unsupervised anomaly detection… | ||
| Autothrottle: A Practical Bi-Level Approach to Resource Management for SLO-Targeted... | 21st USENIX Symposium on Networked Systems Design and Implementation (NSDI '24) | 2024-04-16 |
A bi-level framework called Autothrottle pairs lightweight per-service controllers (Captain) with an application-level learner (Tower) that outputs throttle… | ||
| GRACE: Loss-Resilient Real-Time Video through Neural Codecs | 21st USENIX Symposium on Networked Systems Design and Implementation (NSDI '24) | 2024-04-16 |
A neural video codec that jointly trains encoder and decoder under simulated packet losses and randomly zeroed tensor partitions yields graceful quality… | ||
| Tambur: Efficient loss recovery for videoconferencing via streaming codes | NSDI 2023 | 2023-04-17 |
Tambur applies streaming codes tuned to videoconferencing, evaluated on Microsoft Teams traces and in emulated end-to-end calls after being implemented in C++… | ||
| Learning in situ: a randomized experiment in video streaming | NSDI 2020 | 2020-02-25 |
A randomized, blinded deployment streams 38.6 years of video to 63,508 users and shows huge statistical uncertainty: single-day experiments produce overlapping… | ||
| nothing matches | ||