conftrace_

Zinan Lin

25 papers · 2018–2026 · 7 conferences · across top CS/AI conferences

Achievements

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+12 more ↓ 🧭 Keyword Pioneer πŸ—ΊοΈ Taxonomy Completionist (13) 🌈 Renaissance Researcher (6) πŸŒ‰ Interdisciplinary Bridge 🐣 Hot Topic Early Bird
🐝 Cross-Pollinator (11) πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (13) πŸ‘₯ Mega-Team (25) πŸ† Grand Slam πŸ‘‘ Triple Crown πŸ—ƒοΈ Keyword Collector (79) ⚑ Prolific Year (11) πŸ’Ž Century Club (24) πŸ”₯ Unstoppable (6) πŸ“ˆ Trend Setter ❓ The Questioner

Conferences

ICLR (8) NIPS (7) ICML (4) AAAI (2) AISTATS (2) CVPR (1) ECCV (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