Jianyi Zhang
17 papers · 2019–2025 · 9 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓+7 more ↓ Show less ↑
πΊοΈ Taxonomy Completionist (35) π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Bronze π£ Hot Topic Early Bird
π€
Dynamic Duo
(11)
π
Grand Slam
β‘
Prolific Year Β· Productive
β
The Questioner
π
Century Club Β· Bronze
π
Conference Pioneer
ποΈ
Keyword Collector
(82)
Top co-authors
Research topics
Machine Learning
(13)
Artificial Intelligence
(12)
Core AI
(8)
Optimization & Theory
(7)
Deep Learning
(6)
Application Areas
(6)
Models
(4)
Bayesian & Probabilistic Β· Artificial Intelligence
(3)
Computer Vision
(2)
Natural Language Processing
(2)
Bayesian & Probabilistic Β· Machine Learning
(2)
Learning Paradigms
(2)
Learning Types
(2)
Applications
(1)
Core Methods
(1)
Keywords
large language model
(5)
stein variational gradient descent
(3)
vision-language model
(2)
self-supervised learning
(2)
federated learning
(2)
diffusion model
(2)
particle optimization
(2)
token pruning
(2)
bayesian sampling
(2)
stochastic gradient mcmc
(2)
image generation
(1)
text generation
(1)
multimodal learning
(1)
video understanding
(1)
factual accuracy
(1)
contrastive learning
(1)
stochastic optimization
(1)
knowledge distillation
(1)
maximum likelihood
(1)
representation learning
(1)
Papers
ARTIST: Improving the Generation of Text-Rich Images with Disentangled Diffusion Models and Large Language Models
WACV 2025
CoreMatching: A Co-adaptive Sparse Inference Framework with Token and Neuron Pruning for Comprehensive Acceleration of Vision-Language Models
ICML 2025
Keyframe-oriented Vision Token Pruning: Enhancing Efficiency of Large Vision Language Models on Long-Form Video Processing
ICCV 2025
Min-K%++: Improved Baseline for Pre-Training Data Detection from Large Language Models
ICLR 2025
MLLM-LLaVA-FL: Multimodal Large Language Model Assisted Federated Learning
WACV 2025
Proactive Privacy Amnesia for Large Language Models: Safeguarding PII with Negligible Impact on Model Utility
ICLR 2025
SADA: Stability-guided Adaptive Diffusion Acceleration
ICML 2025
Sufficient Context: A New Lens on Retrieval Augmented Generation Systems
ICLR 2025
SLED: Self Logits Evolution Decoding for Improving Factuality in Large Language Models
NeurIPS 2024
Unlocking the Potential of Federated Learning: The Symphony of Dataset Distillation via Deep Generative Latents
ECCV 2024
Fed-CBS: A Heterogeneity-Aware Client Sampling Mechanism for Federated Learning via Class-Imbalance Reduction
ICML 2023
ReAugKD: Retrieval-Augmented Knowledge Distillation For Pre-trained Language Models
ACL 2023
Why do We Need Large Batchsizes in Contrastive Learning? A Gradient-Bias Perspective
NeurIPS 2022
Cyclical Stochastic Gradient MCMC for Bayesian Deep Learning
ICLR 2020
Stochastic Particle-Optimization Sampling and the Non-Asymptotic Convergence Theory
AISTATS 2020
Variance Reduction in Stochastic Particle-Optimization Sampling
ICML 2020
Self-Adversarially Learned Bayesian Sampling
AAAI 2019