Yuchen Zhu
15 papers · 2021–2026 · 10 venues · across top CS/AI venues
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Achievements
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π Conference Polyglot Β· Gold π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (27) π Academic Marathon Β· Sprint π£ Hot Topic Early Bird
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Renaissance Researcher
(5)
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The Questioner
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Prolific Year Β· Productive
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Century Club Β· Bronze
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Research topics
Machine Learning
(9)
Optimization & Theory
(8)
Artificial Intelligence
(7)
Core AI
(7)
Deep Learning
(6)
Computer Vision
(3)
Models
(3)
Architectures
(2)
Core Methods
(2)
Learning Types
(2)
Processing
(2)
Knowledge & Reasoning
(1)
Mathematics & Optimization
(1)
Reinforcement Learning
(1)
Generation
(1)
Keywords
causal inference
(4)
diffusion model
(3)
conditional generation
(2)
treatment effect
(2)
structural causal model
(2)
kernel methods
(2)
image segmentation
(1)
catastrophic forgetting
(1)
representation learning
(1)
visual query
(1)
deep learning
(1)
minimax optimization
(1)
gene expression
(1)
nonparametric estimation
(1)
treatment effect estimation
(1)
continual learning
(1)
lie group
(1)
reward hacking
(1)
causal effect estimation
(1)
mean embedding
(1)
Papers
A Mean-Field Analysis of Neural Stochastic Gradient Descent-Ascent for Functional Minimax Optimization
JMLR 2026
When Efficiency Becomes a Vulnerability: Computational Cost Attacks on WebAgents
ACL 2026
Diffuse Everything: Multimodal Diffusion Models on Arbitrary State Spaces
ICML 2025
Diffusion Generative Modeling for Spatially Resolved Gene Expression Inference from Histology Images
ICLR 2025
Learning to Stop: Deep Learning for Mean Field Optimal Stopping
ICML 2025
Rethinking Query-based Transformer for Continual Image Segmentation
CVPR 2025
Sim-DETR: Unlock DETR for Temporal Sentence Grounding
ICCV 2025
Trivialized Momentum Facilitates Diffusion Generative Modeling on Lie Groups
ICLR 2025
When Can Proxies Improve the Sample Complexity of Preference Learning?
ICML 2025
Meaningful Causal Aggregation and Paradoxical Confounding
CLeaR 2024
Plain-Det: A Plain Multi-Dataset Object Detector
ECCV 2024
Structured Learning of Compositional Sequential Interventions
NeurIPS 2024
Causal inference with treatment measurement error: a nonparametric instrumental variable approach
UAI 2022
Causal Effect Inference for Structured Treatments
NeurIPS 2021
Proximal Causal Learning with Kernels: Two-Stage Estimation and Moment Restriction
ICML 2021