Jonathan Li
15 papers · 2018–2026 · 6 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (45) π Academic Marathon Β· Sprint π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
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Topic Evolution
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Renaissance Researcher
(7)
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Unstoppable Β· Bronze
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Conference Pioneer
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Century Club Β· Bronze
ποΈ
Keyword Collector
(95)
Top co-authors
Research topics
Computer Vision
(10)
Machine Learning
(10)
Artificial Intelligence
(9)
Deep Learning
(9)
Analysis
(7)
Core AI
(6)
Core Methods
(6)
Architectures
(5)
Learning Types Β· Deep Learning
(5)
Domain-Specific
(4)
Application Areas
(3)
Learning Paradigms
(3)
Learning Types Β· Machine Learning
(3)
Natural Language Processing
(2)
Optimization & Theory
(2)
Keywords
convolutional neural network
(4)
deep learning
(3)
semantic segmentation
(3)
point cloud
(3)
parameter-efficient tuning
(2)
sensor fusion
(2)
time series forecasting
(2)
natural language processing
(1)
zero-shot learning
(1)
image classification
(1)
pose estimation
(1)
feature extraction
(1)
image restoration
(1)
point cloud registration
(1)
domain adaptation
(1)
reinforcement learning
(1)
autonomous driving
(1)
attention mechanism
(1)
image generation
(1)
sequential decision making
(1)
Papers
BCWildfire: A Long-term Multi-factor Dataset and Deep Learning Benchmark for Boreal Wildfire Risk Prediction
AAAI 2026
L4DR: LiDAR-4DRadar Fusion for Weather-Robust 3D Object Detection
AAAI 2025
Robust and Adaptive AI Models for Medication Usage Forecasting Using ICD-9/10 Code (Student Abstract)
AAAI 2025
Mining and Transferring Feature-Geometry Coherence for Unsupervised Point Cloud Registration
NeurIPS 2024
Prefix Propagation: Parameter-Efficient Tuning for Long Sequences
ACL 2023
Parameter-Efficient Legal Domain Adaptation
EMNLP 2022
TopoSeg: Topology-aware Segmentation for Point Clouds
IJCAI 2022
Direction-aware Feature-level Frequency Decomposition for Single Image Deraining
IJCAI 2021
Squeeze-and-Attention Networks for Semantic Segmentation
CVPR 2020
Generalized Zero-Shot Vehicle Detection in Remote Sensing Imagery via Coarse-to-Fine Framework
IJCAI 2019
Geometric Multi-Model Fitting by Deep Reinforcement Learning
AAAI 2019
LO-Net: Deep Real-Time Lidar Odometry
CVPR 2019
RF-Net: An End-To-End Image Matching Network Based on Receptive Field
CVPR 2019
H-Net: Neural Network for Cross-domain Image Patch Matching
IJCAI 2018
LiDAR-Video Driving Dataset: Learning Driving Policies Effectively
CVPR 2018