Ye He
10 papers · 2020–2026 · 6 venues · across top CS/AI venues
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Achievements
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🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (23)
💎
Century Club · Bronze
⚡
Prolific Year · Productive
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Keyword Collector
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Research topics
Machine Learning
(7)
Optimization & Theory · Machine Learning
(7)
Mathematics & Optimization
(5)
Probability
(5)
Artificial Intelligence
(4)
Mathematics
(3)
Optimization
(3)
Deep Learning
(2)
Bayesian & Probabilistic · Machine Learning
(2)
Core AI
(2)
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(2)
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(2)
Bayesian & Probabilistic · Artificial Intelligence
(1)
Learning Paradigms
(1)
Optimization & Theory · Deep Learning
(1)
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
A Separation in Heavy-Tailed Sampling: Gaussian vs. Stable Oracles for Proximal Samplers
NeurIPS 2024
C3LPGCN:Integrating Contrastive Learning and Cooperative Learning with Prompt into Graph Convolutional Network for Aspect-based Sentiment Analysis
NAACL 2024
Evaluating the design space of diffusion-based generative models
NeurIPS 2024
Mean-Square Analysis of Discretized Itô Diffusions for Heavy-tailed Sampling
JMLR 2024
Zeroth-Order Sampling Methods for Non-Log-Concave Distributions: Alleviating Metastability by Denoising Diffusion
NeurIPS 2024
Towards a Complete Analysis of Langevin Monte Carlo: Beyond Poincaré Inequality
COLT 2023
On the Ergodicity, Bias and Asymptotic Normality of Randomized Midpoint Sampling Method
NeurIPS 2020