Jonathan Li

15 papers · 2018–2026 · 6 conferences · across top CS/AI conferences

Achievements

+9 more ↓

🌉 Interdisciplinary Bridge 🌍 Conference Polyglot (6) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🏃 Academic Marathon (7)

🌉 Interdisciplinary Bridge 🌍 Conference Polyglot (6) 🏃 Academic Marathon (7) 🧬 Topic Evolution 🗃️ Keyword Collector (98) 📈 Trend Setter 💎 Century Club (14) 🔥 Unstoppable (8) 🚀 Conference Pioneer

Conferences

AAAI (4) CVPR (4) IJCAI (4) ACL (1) EMNLP (1) NIPS (1)

Top co-authors

Cheng Wang (9) Chenglu Wen (5) Yiping Chen (3) Xuelun Shen (2) Xiaodan Zhu (2) Rohan Bhambhoria (2) Weiquan Liu (2) Xin Li (2) Ming Cheng (2) Mingqiang Wei (1)

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 Robust and Adaptive AI Models for Medication Usage Forecasting Using ICD-9/10 Code (Student Abstract) AAAI 2025 L4DR: LiDAR-4DRadar Fusion for Weather-Robust 3D Object Detection AAAI 2025 Mining and Transferring Feature-Geometry Coherence for Unsupervised Point Cloud Registration NIPS 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 RF-Net: An End-To-End Image Matching Network Based on Receptive Field CVPR 2019 Geometric Multi-Model Fitting by Deep Reinforcement Learning AAAI 2019 LO-Net: Deep Real-Time Lidar Odometry CVPR 2019 Generalized Zero-Shot Vehicle Detection in Remote Sensing Imagery via Coarse-to-Fine Framework IJCAI 2019 H-Net: Neural Network for Cross-domain Image Patch Matching IJCAI 2018 LiDAR-Video Driving Dataset: Learning Driving Policies Effectively CVPR 2018