Yifan Jiang
33 papers · 2019–2026 · 11 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.
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Research topics
Deep Learning
(19)
Computer Vision
(17)
Artificial Intelligence
(16)
Core AI
(16)
Machine Learning
(14)
Models
(12)
Generation
(10)
Learning Types Β· Machine Learning
(8)
Natural Language Processing
(6)
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Processing
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Optimization & Theory
(5)
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Keywords
diffusion model
(5)
image generation
(4)
image editing
(3)
vision-language model
(3)
multimodal large language model
(3)
neural radiance field
(3)
large language model
(3)
neural architecture search
(3)
lateral thinking
(3)
efficient computing
(2)
generative adversarial network
(2)
3d reconstruction
(2)
video understanding
(2)
multimodal learning
(2)
visual question answering
(2)
zero-shot learning
(2)
benchmark evaluation
(2)
data augmentation
(2)
self-supervised learning
(2)
depth estimation
(2)
Papers
Beetrap-MC: A Minecraft-Based AI Literacy Tool for Teaching Filter Bubbles to Middle School Students
AAAI 2026
Audio-centric Video Understanding Benchmark without Text Shortcut
EMNLP 2025
Benchmarking Large Language Models Under Data Contamination: A Survey from Static to Dynamic Evaluation
EMNLP 2025
Cavia: Camera-controllable Multi-view Video Diffusion with View-Integrated Attention
ICML 2025
COLUMBUS: Evaluating COgnitive Lateral Understanding Through Multiple-Choice reBUSes
AAAI 2025
Engage for All: Making Ordinary Image Descriptions Appealing Again!
ICCV 2025
Red Queen: Exposing Latent Multi-Turn Risks in Large Language Models
ACL 2025
Unraveling the Effects of Synthetic Data on End-to-End Autonomous Driving
ICCV 2025
Efficient-3Dim: Learning a Generalizable Single-image Novel-view Synthesizer in One Day
ICLR 2024
FIRE: Food Image to REcipe Generation
WACV 2024
FSGS: Real-Time Few-shot View Synthesis using Gaussian Splatting
ECCV 2024
MARVEL: Multidimensional Abstraction and Reasoning through Visual Evaluation and Learning
NeurIPS 2024
PAIR Diffusion: A Comprehensive Multimodal Object-Level Image Editor
CVPR 2024
SemEval-2024 Task 9: BRAINTEASER: A Novel Task Defying Common Sense
SemEval 2024
AligNeRF: High-Fidelity Neural Radiance Fields via Alignment-Aware Training
CVPR 2023
BRAINTEASER: Lateral Thinking Puzzles for Large Language Models
EMNLP 2023
In-Context Learning Unlocked for Diffusion Models
NeurIPS 2023
NeRF-SOS: Any-View Self-supervised Object Segmentation on Complex Scenes
ICLR 2023
NeuralLift-360: Lifting an In-the-Wild 2D Photo to a 3D Object With 360deg Views
CVPR 2023
Patch Diffusion: Faster and More Data-Efficient Training of Diffusion Models
NeurIPS 2023
Wasserstein distributional robustness of neural networks
NeurIPS 2023
Auto-X3D: Ultra-Efficient Video Understanding via Finer-Grained Neural Architecture Search
WACV 2022
Fast and High Quality Image Denoising via Malleable Convolution
ECCV 2022
Signal Processing for Implicit Neural Representations
NeurIPS 2022
SinNeRF: Training Neural Radiance Fields on Complex Scenes from a Single Image
ECCV 2022
Testing Pre-trained Language Modelsβ Understanding of Distributivity via Causal Mediation Analysis
EMNLP 2022
Unified Implicit Neural Stylization
ECCV 2022
A Design Space Study for LISTA and Beyond
ICLR 2021
IA-RED$^2$: Interpretability-Aware Redundancy Reduction for Vision Transformers
NeurIPS 2021
SSH: A Self-Supervised Framework for Image Harmonization
ICCV 2021
TransGAN: Two Pure Transformers Can Make One Strong GAN, and That Can Scale Up
NeurIPS 2021
AutoGAN: Neural Architecture Search for Generative Adversarial Networks
ICCV 2019
StrokeNet: A Neural Painting Environment
ICLR 2019