Jianyi Zhang
17 papers · 2019–2025 · 9 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (9) π Academic Marathon (6) π§ Keyword Pioneer π Interdisciplinary Bridge π Cross-Pollinator (12)
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Cross-Pollinator
(12)
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Renaissance Researcher
(5)
πΊοΈ
Taxonomy Completionist
(28)
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Grand Slam
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Dynamic Duo
(11)
π
Keyword Champion
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Conference Pioneer
π
Century Club
(17)
ποΈ
Keyword Collector
(56)
β
The Questioner
β‘
Prolific Year
(8)
Conferences
ICLR (4)
ICML (4)
NIPS (2)
WACV (2)
AAAI (1)
ACL (1)
AISTATS (1)
ECCV (1)
ICCV (1)
Top co-authors
Keywords
large language model
(3)
stein variational gradient descent
(3)
bayesian sampling
(2)
particle optimization
(2)
federated learning
(2)
self-supervised learning
(2)
image generation
(1)
contrastive learning
(1)
stochastic optimization
(1)
factual accuracy
(1)
text generation
(1)
multimodal learning
(1)
video understanding
(1)
knowledge base
(1)
knowledge distillation
(1)
representation learning
(1)
variance reduction
(1)
markov chain monte carlo
(1)
semantic similarity
(1)
computational efficiency
(1)
Papers
ARTIST: Improving the Generation of Text-Rich Images with Disentangled Diffusion Models and Large Language Models
WACV 2025
Keyframe-oriented Vision Token Pruning: Enhancing Efficiency of Large Vision Language Models on Long-Form Video Processing
ICCV 2025
Sufficient Context: A New Lens on Retrieval Augmented Generation Systems
ICLR 2025
Proactive Privacy Amnesia for Large Language Models: Safeguarding PII with Negligible Impact on Model Utility
ICLR 2025
Min-K%++: Improved Baseline for Pre-Training Data Detection from Large Language Models
ICLR 2025
SADA: Stability-guided Adaptive Diffusion Acceleration
ICML 2025
CoreMatching: A Co-adaptive Sparse Inference Framework with Token and Neuron Pruning for Comprehensive Acceleration of Vision-Language Models
ICML 2025
MLLM-LLaVA-FL: Multimodal Large Language Model Assisted Federated Learning
WACV 2025
Unlocking the Potential of Federated Learning: The Symphony of Dataset Distillation via Deep Generative Latents
ECCV 2024
SLED: Self Logits Evolution Decoding for Improving Factuality in Large Language Models
NIPS 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
NIPS 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