Weili Nie
29 papers · 2018–2026 · 6 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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🗺️ Taxonomy Completionist (49) 🏃 Academic Marathon · Sprint 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Silver 🐣 Hot Topic Early Bird
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Deep Specialist
(16)
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Dynamic Duo
(13)
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Triple Crown
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Conference Pioneer
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Unstoppable · Bronze
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Prolific Year · Productive
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Century Club · Bronze
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Renaissance Researcher
(5)
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Trend Setter
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Keyword Collector
(137)
Top co-authors
Research topics
Deep Learning
(26)
Models
(23)
Computer Vision
(17)
Machine Learning
(15)
Generation
(11)
Learning Types · Machine Learning
(11)
Learning Types · Deep Learning
(8)
Artificial Intelligence
(7)
Core AI · Artificial Intelligence
(7)
Analysis
(4)
Architectures
(4)
Application Areas
(3)
Optimization & Theory
(3)
Natural Language Processing
(2)
Core AI · Computer Vision
(2)
Keywords
diffusion model
(11)
image generation
(4)
molecule generation
(3)
few-shot learning
(3)
controllable generation
(3)
visual reasoning
(3)
text generation
(2)
compositional generation
(2)
retrieval augmentation
(2)
adversarial purification
(2)
adversarial robustness
(2)
latent diffusion
(2)
generative adversarial network
(2)
video generation
(2)
zero-shot learning
(2)
certified robustness
(2)
energy-based model
(2)
generative model
(2)
drug discovery
(2)
blob representation
(2)
Papers
PixelDiT: Pixel Diffusion Transformers for Image Generation
CVPR 2026
Transition Matching Distillation for Fast Video Generation
CVPR 2026
BlobGEN-Vid: Compositional Text-to-Video Generation with Blob Video Representations
CVPR 2025
Energy-Based Diffusion Language Models for Text Generation
ICLR 2025
GenMol: A Drug Discovery Generalist with Discrete Diffusion
ICML 2025
Truncated Consistency Models
ICLR 2025
T-Stitch: Accelerating Sampling in Pre-Trained Diffusion Models with Trajectory Stitching
ICLR 2025
Aligning Target-Aware Molecule Diffusion Models with Exact Energy Optimization
NeurIPS 2024
Compositional Text-to-Image Generation with Dense Blob Representations
ICML 2024
Efficient Video Diffusion Models via Content-Frame Motion-Latent Decomposition
ICLR 2024
Molecule Generation with Fragment Retrieval Augmentation
NeurIPS 2024
Warped Diffusion: Solving Video Inverse Problems with Image Diffusion Models
NeurIPS 2024
A Critical Revisit of Adversarial Robustness in 3D Point Cloud Recognition with Diffusion-Driven Purification
ICML 2023
Defending against Adversarial Audio via Diffusion Model
ICLR 2023
DensePure: Understanding Diffusion Models for Adversarial Robustness
ICLR 2023
Fast Sampling of Diffusion Models via Operator Learning
ICML 2023
I$^2$SB: Image-to-Image Schrödinger Bridge
ICML 2023
Retrieval-based Controllable Molecule Generation
ICLR 2023
Re-ViLM: Retrieval-Augmented Visual Language Model for Zero and Few-Shot Image Captioning
EMNLP 2023
Bongard-HOI: Benchmarking Few-Shot Visual Reasoning for Human-Object Interactions
CVPR 2022
Diffusion Models for Adversarial Purification
ICML 2022
RelViT: Concept-guided Vision Transformer for Visual Relational Reasoning
ICLR 2022
Test-Time Prompt Tuning for Zero-Shot Generalization in Vision-Language Models
NeurIPS 2022
Controllable and Compositional Generation with Latent-Space Energy-Based Models
NeurIPS 2021
Bongard-LOGO: A New Benchmark for Human-Level Concept Learning and Reasoning
NeurIPS 2020
Semi-Supervised StyleGAN for Disentanglement Learning
ICML 2020
RelGAN: Relational Generative Adversarial Networks for Text Generation
ICLR 2019
Towards a Better Understanding and Regularization of GAN Training Dynamics
UAI 2019
A Theoretical Explanation for Perplexing Behaviors of Backpropagation-based Visualizations
ICML 2018