Nan Jiang
where else to find them
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what they talk about
all 5 in the filters
where they keep going back
no series more than once — all 6 in the filters
on a stage with
- Dan Fengonce
- Hong Jiangonce
- Le Fangonce
all 13 in the filters
who talks about the same things
nobody close enough yet
| title | conference | date |
|---|---|---|
| Show Me Why It's Correct: Saving 1/3 of Debugging Time in Program Repair with(…) | OOPSLA 2025 | 2025-10-16 |
iFix instruments code using call-graph and def‑use analysis, runs failing tests on multiple patched copies, aligns per-variable runtime values into a runtime… | ||
| On the Curses of Future and History in Off-policy Evaluation in non-Markov Environments | Emerging Generalization Settings 2024 | 2024-09-09 |
Claims that OPE in partially observable settings gets polynomial (no exponential-in-horizon) sample complexity by replacing history-based value functions with… | ||
| LoopDelta: Embedding Locality-aware Opportunistic Delta Compression in Inline... | USENIX ATC '23 | 2023-07-10 |
LoopDelta embeds delta compression into inline deduplication and implements four concrete techniques: dual-locality-based similarity tracking, locality-aware… | ||
| Batch Value-function Approximation with Only Realizability | Reinforcement Learning from Batch Data and Simulation | 2020-11-30 |
Claims a polynomial sample complexity guarantee under only realizability by introducing a batch value-function tournament that compares every pair f, f' and… | ||
| On the Hardness of Reinforcement Learning With Value-function Approximation | Emerging Challenges in Deep Learning (Simons Institute workshop, 2019) | 2019-08-05 |
Asserts that having a realizable value-function class plus exploratory batch data is not enough for sample-efficient RL: a constructed MDP family yields a… | ||
| Unleashing the Gorillacorn - DevOps in Very Large Enterprises | devopsdays Toronto 2018 | 2018-05-30 |
Claims a measurable win: a replatformed cloud environment yields 48 dev and 24 production updates in four months versus 3 and 3 on-prem — about a 16x increase… | ||
| nothing matches | ||