Hongkai Wen
17 papers · 2017–2026 · 8 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (39) π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
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Topic Evolution
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Keyword Pioneer
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Grand Slam
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Trend Setter
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Century Club Β· Bronze
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The Questioner
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Unstoppable Β· Bronze
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Renaissance Researcher
(5)
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Research topics
Deep Learning
(11)
Machine Learning
(9)
Computer Vision
(8)
Analysis
(5)
Application Areas
(5)
Architectures
(5)
Optimization & Theory
(5)
Artificial Intelligence
(4)
Models
(4)
Generation
(3)
Learning Paradigms
(3)
Core AI
(2)
Domain-Specific
(2)
Learning Types Β· Deep Learning
(2)
Learning Types Β· Machine Learning
(2)
Keywords
neural architecture search
(3)
graph neural network
(2)
pruning at initialization
(2)
event camera
(2)
diffusion model
(2)
model compression
(2)
architecture optimization
(2)
policy optimization
(1)
temporal modeling
(1)
neural network pruning
(1)
graph generation
(1)
conditional generation
(1)
multimodal learning
(1)
text-to-image generation
(1)
knowledge transfer
(1)
benchmark evaluation
(1)
pattern recognition
(1)
dynamic vision sensor
(1)
gradient-based method
(1)
eye tracking
(1)
Papers
DynFusion: Rethinking Condition Fusion for Adaptive Multi-Conditional Text-to-Image Generation
CVPR 2026
Learning Effective Sign Features without Text for Gloss-free Sign Language Translation
CVPR 2026
BGM: Demand Prediction for Expanding Bike-Sharing Systems with Dynamic Graph Modeling
IJCAI 2025
DPaI: Differentiable Pruning at Initialization with Node-Path Balance Principle
ICLR 2025
FlexControl: Computation-Aware Conditional Control with Differentiable Router for Text-to-Image Generation
ICML 2025
High-Fidelity Road Network Generation with Latent Diffusion Models
IJCAI 2025
SignGraph: A Sign Sequence is Worth Graphs of Nodes
CVPR 2024
Towards Neural Architecture Search through Hierarchical Generative Modeling
ICML 2024
EV-Eye: Rethinking High-frequency Eye Tracking through the Lenses of Event Cameras
NeurIPS 2023
Exploiting Network Compressibility and Topology in Zero-Cost NAS
AutoML 2023
Towards Data-Agnostic Pruning At Initialization: What Makes a Good Sparse Mask?
NeurIPS 2023
Zero-Cost Operation Scoring in Differentiable Architecture Search
AAAI 2023
BLOX: Macro Neural Architecture Search Benchmark and Algorithms
NeurIPS 2022
Journey Towards Tiny Perceptual Super-Resolution
ECCV 2020
Rebalancing Expanding EV Sharing Systems with Deep Reinforcement Learning
IJCAI 2020
EV-Gait: Event-Based Robust Gait Recognition Using Dynamic Vision Sensors
CVPR 2019
VidLoc: A Deep Spatio-Temporal Model for 6-DoF Video-Clip Relocalization
CVPR 2017