Ye He
10 papers · 2020–2026 · 6 conferences · across top CS/AI conferences
Achievements
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๐ Interdisciplinary Bridge ๐บ๏ธ Taxonomy Completionist (19) ๐งญ Keyword Pioneer ๐ Conference Polyglot (4) ๐ Cross-Pollinator (11)
๐
Academic Marathon
(6)
๐๏ธ
Keyword Collector
(55)
๐
Trend Setter
โก
Prolific Year
(5)
Conferences
NIPS (4)
ACL (2)
AAAI (1)
COLT (1)
JMLR (1)
NAACL (1)
Top co-authors
Research topics
Keywords
markov chain monte carlo
(3)
langevin diffusion
(2)
sampling algorithm
(2)
diffusion model
(2)
monte carlo sampling
(2)
stochastic process
(2)
heavy-tailed sampling
(2)
convergence rate
(1)
generative model
(1)
non-convex optimization
(1)
numerical integration
(1)
score function
(1)
score matching
(1)
convergence analysis
(1)
heavy-tailed distribution
(1)
oracle complexity
(1)
asymptotic normality
(1)
wasserstein metric
(1)
zeroth-order optimization
(1)
iteration complexity
(1)
Papers
Beyond Self-Report: Bridging the Intention-Behavior Gap in Critical Thinking Assessment via Interpretable Multi-Agent System
ACL 2026
SimPBL: A Multi-Agent Framework for Project-Based Learning
ACL 2026
TRACE: Trajectory-based Activation Change Estimation for Task-specific Data Selection
AAAI 2026
Zeroth-Order Sampling Methods for Non-Log-Concave Distributions: Alleviating Metastability by Denoising Diffusion
NIPS 2024
C3LPGCN:Integrating Contrastive Learning and Cooperative Learning with Prompt into Graph Convolutional Network for Aspect-based Sentiment Analysis
NAACL 2024
Mean-Square Analysis of Discretized Itรด Diffusions for Heavy-tailed Sampling
JMLR 2024
Evaluating the design space of diffusion-based generative models
NIPS 2024
A Separation in Heavy-Tailed Sampling: Gaussian vs. Stable Oracles for Proximal Samplers
NIPS 2024
Towards a Complete Analysis of Langevin Monte Carlo: Beyond Poincarรฉ Inequality
COLT 2023
On the Ergodicity, Bias and Asymptotic Normality of Randomized Midpoint Sampling Method
NIPS 2020