Zinan Lin
26 papers · 2018–2026 · 7 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
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πΊοΈ Taxonomy Completionist (59) π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
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Triple Crown
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Grand Slam
π₯
Mega-Team Β· Squad
π€
Dynamic Duo
(10)
π§
Keyword Pioneer
π
Renaissance Researcher
(7)
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Century Club Β· Bronze
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Trend Setter
β
The Questioner
π₯
Unstoppable Β· Bronze
ποΈ
Keyword Collector
(118)
β‘
Prolific Year Β· Prolific
Top co-authors
Research topics
Deep Learning
(15)
Machine Learning
(15)
Models
(15)
Learning Types Β· Machine Learning
(10)
Artificial Intelligence
(8)
Application Areas
(7)
Core AI
(7)
Computer Vision
(5)
Generation
(5)
Learning Types Β· Deep Learning
(5)
Optimization & Theory Β· Machine Learning
(5)
Optimization & Theory Β· Deep Learning
(4)
Natural Language Processing
(3)
Security & Privacy
(3)
Core Methods
(3)
Keywords
generative adversarial network
(6)
image generation
(6)
differential privacy
(5)
large language model
(4)
generative model
(3)
diffusion model
(3)
knowledge distillation
(2)
adversarial robustness
(2)
conditional gan
(2)
text-to-video generation
(2)
synthetic data generation
(2)
in-context learning
(2)
flow matching
(2)
model distillation
(1)
self-supervised learning
(1)
video generation
(1)
semi-supervised learning
(1)
dimensionality reduction
(1)
risk management
(1)
generative evaluation
(1)
Papers
CineScene: Implicit 3D as Effective Scene Representation for Cinematic Video Generation
CVPR 2026
GENMAC: Compositional Text-to-Video Generation with Multi-Agent Collaboration
AAAI 2026
Distilled Decoding 1: One-step Sampling of Image Auto-regressive Models with Flow Matching
ICLR 2025
Linear Combination of Saved Checkpoints Makes Consistency and Diffusion Models Better
ICLR 2025
MMDT: Decoding the Trustworthiness and Safety of Multimodal Foundation Models
ICLR 2025
ViDiT-Q: Efficient and Accurate Quantization of Diffusion Transformers for Image and Video Generation
ICLR 2025
Can LLMs Learn by Teaching for Better Reasoning? A Preliminary Study
NeurIPS 2024
Differentially Private Synthetic Data via Foundation Model APIs 1: Images
ICLR 2024
Differentially Private Synthetic Data via Foundation Model APIs 2: Text
ICML 2024
Efficiently Computing Similarities to Private Datasets
ICLR 2024
FlashEval: Towards Fast and Accurate Evaluation of Text-to-image Diffusion Generative Models
CVPR 2024
Improving the Training of Rectified Flows
NeurIPS 2024
MixDQ: Memory-Efficient Few-Step Text-to-Image Diffusion Models with Metric-Decoupled Mixed Precision Quantization
ECCV 2024
Mixture-of-Linear-Experts for Long-term Time Series Forecasting
AISTATS 2024
Privacy-Preserving In-Context Learning with Differentially Private Few-Shot Generation
ICLR 2024
RedCode: Risky Code Execution and Generation Benchmark for Code Agents
NeurIPS 2024
Skeleton-of-Thought: Prompting LLMs for Efficient Parallel Generation
ICLR 2024
DecodingTrust: A Comprehensive Assessment of Trustworthiness in GPT Models
NeurIPS 2023
OMS-DPM: Optimizing the Model Schedule for Diffusion Probabilistic Models
ICML 2023
RareGAN: Generating Samples for Rare Classes
AAAI 2022
On the Privacy Properties of GAN-generated Samples
AISTATS 2021
Pareto GAN: Extending the Representational Power of GANs to Heavy-Tailed Distributions
ICML 2021
Why Spectral Normalization Stabilizes GANs: Analysis and Improvements
NeurIPS 2021
InfoGAN-CR and ModelCentrality: Self-supervised Model Training and Selection for Disentangling GANs
ICML 2020
PacGAN: The power of two samples in generative adversarial networks
NeurIPS 2018
Robustness of conditional GANs to noisy labels
NeurIPS 2018