Xiao He
10 papers · 2019–2026 · 6 venues · across top CS/AI venues
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Achievements
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π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (20) π Conference Polyglot Β· Silver π£ Hot Topic Early Bird π Academic Marathon Β· Sprint
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Conference Pioneer
π₯
Unstoppable Β· Bronze
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Century Club Β· Bronze
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Keyword Collector
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Research topics
Keywords
graph neural network
(3)
transformer architecture
(2)
diffusion model
(2)
image super-resolution
(2)
convex optimization
(1)
style transfer
(1)
representation learning
(1)
point cloud
(1)
multi-task learning
(1)
image synthesis
(1)
bird's eye view
(1)
instance segmentation
(1)
attention mechanism
(1)
message passing
(1)
multi-task regression
(1)
convex clustering
(1)
graph structure learning
(1)
bilevel optimization
(1)
object detection
(1)
semantic segmentation
(1)
Papers
Mixture of Ranks with Degradation-Aware Routing for One-Step Real-World Image Super-Resolution
AAAI 2026
PLA-MGRA: Multi-Granularity and Relation-Aware Learning for Efficient and Generalizable Protein-Ligand Binding Affinity Prediction
AAAI 2026
Diff-MoE: Diffusion Transformer with Time-Aware and Space-Adaptive Experts
ICML 2025
Effective Diffusion Transformer Architecture for Image Super-Resolution
AAAI 2025
PDDFormer: Pairwise Distance Distribution Graph Transformer for Crystal Material Property Prediction
IJCAI 2025
ViewFormer: Exploring Spatiotemporal Modeling for Multi-View 3D Occupancy Perception via View-Guided Transformers
ECCV 2024
All-to-Key Attention for Arbitrary Style Transfer
ICCV 2023
Panoptic-PHNet: Towards Real-Time and High-Precision LiDAR Panoptic Segmentation via Clustering Pseudo Heatmap
CVPR 2022
Efficient and Scalable Multi-Task Regression on Massive Number of Tasks
AAAI 2019
Learning Discrete Structures for Graph Neural Networks
ICML 2019