Demo Data from SIGIR 2026 / reviewers in the wild / expert
Zhengjiang Lin
dblp:375/2011
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2025
0000-0002-6912-8024ORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Theory of computation · 1 · 1 since 2021
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Artificial intelligence
1 paper |
Generative modeling · 100% | |
| Theoretical computer science
1 paper |
Mathematical optimization · 100% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Machine learning › Generative modeling
diffusion model |
0.9 | 1 | 2025 | Convergence Analysis of Probability Flow ODE for Score-Based Generative Models · IEEE Trans. Inf. Theory 2025 |
Machine learning › Generative modeling › diffusion model › deterministic sampler
probability flow ODE |
0.9 | 1 | 2025 | Convergence Analysis of Probability Flow ODE for Score-Based Generative Models · IEEE Trans. Inf. Theory 2025 |
Mathematical optimization
convergence analysis |
0.9 | 1 | 2025 | Convergence Analysis of Probability Flow ODE for Score-Based Generative Models · IEEE Trans. Inf. Theory 2025 |
Methods — techniques the papers use, named apart from their topics
score matching · 1.7stochastic differential equations · 0.9stochastic differential equation · 0.9
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2025 | Convergence Analysis of Probability Flow ODE for Score-Based Generative Models
Daniel Zhengyu Huang, Jiaoyang Huang, Zhengjiang Lin |
IEEE Trans. Inf. Theory | 3 |