Jiaqi Gu
15 papers · 2019–2026 · 8 conferences · across top CS/AI conferences
Achievements
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🐝 Cross-Pollinator (6) 🌍 Conference Polyglot (7) 🏃 Academic Marathon (6) 🧭 Keyword Pioneer 🌈 Renaissance Researcher (6)
🌍
Conference Polyglot
(7)
🏃
Academic Marathon
(6)
🐝
Cross-Pollinator
(6)
🏆
Keyword Champion
(2)
💎
Century Club
(14)
🗃️
Keyword Collector
(67)
🔥
Unstoppable
(7)
Conferences
NIPS (4)
CVPR (3)
ECCV (2)
ICML (2)
AAAI (1)
ACL (1)
ICCV (1)
JMLR (1)
Top co-authors
Keywords
neural network optimization
(3)
neural operator
(2)
model efficiency
(2)
local linear model
(2)
nonparametric regression
(2)
model compression
(2)
on-chip learning
(2)
delaunay triangulation
(2)
photonic device simulation
(2)
optical neural network
(2)
function approximation
(1)
progressive learning
(1)
efficient computing
(1)
markov chain
(1)
parameter estimation
(1)
reinforcement learning
(1)
memory efficiency
(1)
scene reconstruction
(1)
vision transformer
(1)
ranking model
(1)
Papers
Towards a Mechanistic Understanding of Large Reasoning Models: A Survey of Training, Inference, and Failures
ACL 2026
HybridGS: Decoupling Transients and Statics with 2D and 3D Gaussian Splatting
CVPR 2025
Hierarchical and Stochastic Crystallization Learning: Geometrically Leveraged Nonparametric Regression with Delaunay Triangulation
JMLR 2025
PACE: Pacing Operator Learning to Accurate Optical Field Simulation for Complicated Photonic Devices
NIPS 2024
Learning Neural Volumetric Pose Features for Camera Localization
ECCV 2024
Pre-RMSNorm and Pre-CRMSNorm Transformers: Equivalent and Efficient Pre-LN Transformers
NIPS 2023
Homography Loss for Monocular 3D Object Detection
CVPR 2022
NeurOLight: A Physics-Agnostic Neural Operator Enabling Parametric Photonic Device Simulation
NIPS 2022
Multi-Scale High-Resolution Vision Transformer for Semantic Segmentation
CVPR 2022
Efficient On-Chip Learning for Optical Neural Networks Through Power-Aware Sparse Zeroth-Order Optimization
AAAI 2021
L2ight: Enabling On-Chip Learning for Optical Neural Networks via Efficient in-situ Subspace Optimization
NIPS 2021
Towards Memory-Efficient Neural Networks via Multi-Level In Situ Generation
ICCV 2021
Crystallization Learning with the Delaunay Triangulation
ICML 2021
An Efficient Training Framework for Reversible Neural Architectures
ECCV 2020
Fast Algorithm for Generalized Multinomial Models with Ranking Data
ICML 2019