Zinan Lin
25 papers · 2018–2026 · 7 conferences · across top CS/AI conferences
Achievements
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π§ Keyword Pioneer πΊοΈ Taxonomy Completionist (13) π Renaissance Researcher (6) π Interdisciplinary Bridge π£ Hot Topic Early Bird
π
Cross-Pollinator
(11)
π
Interdisciplinary Bridge
πΊοΈ
Taxonomy Completionist
(13)
π₯
Mega-Team
(25)
π
Grand Slam
π
Triple Crown
ποΈ
Keyword Collector
(79)
β‘
Prolific Year
(11)
π
Century Club
(24)
π₯
Unstoppable
(6)
π
Trend Setter
β
The Questioner
Conferences
ICLR (8)
NIPS (7)
ICML (4)
AAAI (2)
AISTATS (2)
CVPR (1)
ECCV (1)
Top co-authors
Research topics
Keywords
generative adversarial network
(6)
generative model
(3)
image generation
(3)
knowledge distillation
(2)
conditional gan
(2)
diffusion model
(2)
large language model
(2)
model selection
(1)
prompt engineering
(1)
contrastive learning
(1)
in-context learning
(1)
model evaluation
(1)
toxicity detection
(1)
generative evaluation
(1)
label noise
(1)
adversarial robustness
(1)
flow matching
(1)
text-to-image generation
(1)
self-supervised learning
(1)
conditional generation
(1)
Papers
GENMAC: Compositional Text-to-Video Generation with Multi-Agent Collaboration
AAAI 2026
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
Distilled Decoding 1: One-step Sampling of Image Auto-regressive Models with Flow Matching
ICLR 2025
FlashEval: Towards Fast and Accurate Evaluation of Text-to-image Diffusion Generative Models
CVPR 2024
MixDQ: Memory-Efficient Few-Step Text-to-Image Diffusion Models with Metric-Decoupled Mixed Precision Quantization
ECCV 2024
Differentially Private Synthetic Data via Foundation Model APIs 1: Images
ICLR 2024
Improving the Training of Rectified Flows
NIPS 2024
Can LLMs Learn by Teaching for Better Reasoning? A Preliminary Study
NIPS 2024
RedCode: Risky Code Execution and Generation Benchmark for Code Agents
NIPS 2024
Mixture-of-Linear-Experts for Long-term Time Series Forecasting
AISTATS 2024
Skeleton-of-Thought: Prompting LLMs for Efficient Parallel Generation
ICLR 2024
Privacy-Preserving In-Context Learning with Differentially Private Few-Shot Generation
ICLR 2024
Efficiently Computing Similarities to Private Datasets
ICLR 2024
Differentially Private Synthetic Data via Foundation Model APIs 2: Text
ICML 2024
DecodingTrust: A Comprehensive Assessment of Trustworthiness in GPT Models
NIPS 2023
OMS-DPM: Optimizing the Model Schedule for Diffusion Probabilistic Models
ICML 2023
RareGAN: Generating Samples for Rare Classes
AAAI 2022
Pareto GAN: Extending the Representational Power of GANs to Heavy-Tailed Distributions
ICML 2021
Why Spectral Normalization Stabilizes GANs: Analysis and Improvements
NIPS 2021
On the Privacy Properties of GAN-generated Samples
AISTATS 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
NIPS 2018
Robustness of conditional GANs to noisy labels
NIPS 2018