Peizhong Ju

9 papers at tracked venues · 8 at CORE A* · active 2024–2026

DBLP profile ↗ORCID search ↗

Venues

ICLR ×5 ICML ×2 AAAI ×1 EACL ×1

Frequent coauthors

Ness B. Shroff

×6

Yingbin Liang

×3

Yuchen Liang

×2

Jia Liu

×2

Yining Li

×2

Moghis Fereidouni

×1

Muhammad Umair Haider

×1

A. B. Siddique

×1

Srijith Nair

×1

Michael Lin

×1

Amirreza Talebi

×1

Elizabeth Serena Bentley

×1

Papers

Evaluating Sparse Autoencoders for Monosemantic Representation
EACL 2026 ·
Moghis Fereidouni
,
Muhammad Umair Haider
, Peizhong Ju,
A. B. Siddique
Broadening Target Distributions for Accelerated Diffusion Models via a Novel Analysis Approach
ICLR 2025 ·
Yuchen Liang
, Peizhong Ju,
Yingbin Liang
,
Ness B. Shroff
FSL-SAGE: Accelerating Federated Split Learning via Smashed Activation Gradient Estimation
ICML 2025 ·
Srijith Nair
,
Michael Lin
, Peizhong Ju,
Amirreza Talebi
,
Elizabeth Serena Bentley
,
Jia Liu
How to Find the Exact Pareto Front for Multi-Objective MDPs?
ICLR 2025 ·
Yining Li
, Peizhong Ju,
Ness B. Shroff
PSMGD: Periodic Stochastic Multi-Gradient Descent for Fast Multi-Objective Optimization
AAAI 2025 ·
Mingjing Xu
, Peizhong Ju,
Jia Liu
,
Haibo Yang
Theory on Score-Mismatched Diffusion Models and Zero-Shot Conditional Samplers
ICLR 2025 ·
Yuchen Liang
, Peizhong Ju,
Yingbin Liang
,
Ness B. Shroff
Unlocking the Power of Rehearsal in Continual Learning: A Theoretical Perspective
ICML 2025 ·
Junze Deng
,
Qinhang Wu
, Peizhong Ju,
Sen Lin
,
Yingbin Liang
,
Ness B. Shroff
Achieving Fairness in Multi-Agent MDP Using Reinforcement Learning
ICLR 2024 · Peizhong Ju,
Arnob Ghosh
,
Ness B. Shroff
Achieving Sample and Computational Efficient Reinforcement Learning by Action Space Reduction via Grouping
ICLR 2024 ·
Yining Li
, Peizhong Ju,
Ness B. Shroff