Chenyang Zhao
where else to find them
no profile links on file
what they talk about
all 4 in the filters
where they keep going back
no series more than once — all 3 in the filters
on a stage with
- Haifeng Sunonce
- Jianxin Liaoonce
- Jingyu Wangonce
all 8 in the filters
who talks about the same things
- Daniel Han5 talks
- Yineng Zhang3 talks
- Vladimir Osin4 talks
- Logesh Kumar Umapathi2 talks
- Junchen Jiang16 talks
- Jyotirmoy Sundi2 talks
| title | conference | date |
|---|---|---|
| Optimizing Long-Tail and MoE Challenges in Reinforcement Learning with SGLang | PyTorch Conference 2025 | 2025-10-22 |
SGLang presents concrete fixes: partial rollouts use oversampling so the first ~80% of fast responses (arriving in 50% of time) train immediately while slow… | ||
| End-to-End Optimizing Multi-Turn RL and High-Performance Inference in Agents with... | Open Agent Summit 2025 | 2025-10-21 |
SGLang presents concrete methods and numbers: an oversampling + partial rollouts (APRIL) pipeline that cuts multi‑turn RL training time by about 40%… | ||
| EPVerifier: Accelerating Update Storms Verification with Edge-Predicate | 21st USENIX Symposium on Networked Systems Design and Implementation (NSDI '24) | 2024-04-16 |
EPVerifier replaces global equivalence-class models with an edge-predicate model (one BDD-like predicate per link), so only actually affected edges are updated… | ||
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