Zidong Wang
17 papers · 2021–2026 · 9 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (40) π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
π
Grand Slam
π
Keyword Champion
(3)
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Renaissance Researcher
(6)
π₯
Unstoppable Β· Bronze
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Prolific Year Β· Productive
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Century Club Β· Bronze
ποΈ
Keyword Collector
(79)
Top co-authors
Research topics
Machine Learning
(12)
Deep Learning
(11)
Optimization & Theory Β· Machine Learning
(9)
Artificial Intelligence
(6)
Architectures
(6)
Core AI
(6)
Models
(5)
Core Methods
(4)
Optimization & Theory Β· Deep Learning
(4)
Computer Vision
(3)
Mathematics & Optimization
(3)
Application Areas
(3)
Optimization
(3)
Techniques
(3)
Knowledge & Reasoning
(2)
Keywords
partial differential equation
(4)
physics-informed neural network
(3)
second-order optimization
(3)
causal inference
(3)
fisher information matrix
(3)
numerical simulation
(2)
multi-agent system
(2)
curvature approximation
(2)
spatiotemporal dynamics
(2)
physics-informed learning
(2)
large language model
(2)
kronecker factorization
(2)
neural network training
(2)
neural network optimization
(2)
natural gradient
(2)
deep neural network
(2)
graph neural network
(2)
diffusion model
(2)
causal structure learning
(1)
object localization
(1)
Papers
GIER: Addressing Class Imbalance in GNNs Through Experience Replay
AAAI 2026
Robust Causal Discovery Under Imperfect Structural Constraints
AAAI 2026
Transition Models: Rethinking the Generative Learning Objective
CVPR 2026
ComfyBench: Benchmarking LLM-based Agents in ComfyUI for Autonomously Designing Collaborative AI Systems
CVPR 2025
LLM-enhanced Score Function Evolution for Causal Structure Learning
IJCAI 2025
PhyMPGN: Physics-encoded Message Passing Graph Network for spatiotemporal PDE systems
ICLR 2025
FiT: Flexible Vision Transformer for Diffusion Model
ICML 2024
HTCCN: Temporal Causal Convolutional Networks with Hawkes Process for Extrapolation Reasoning in Temporal Knowledge Graphs
NAACL 2024
P^2C^2Net: PDE-Preserved Coarse Correction Network for efficient prediction of spatiotemporal dynamics
NeurIPS 2024
PredBench: Benchmarking Spatio-Temporal Prediction across Diverse Disciplines
ECCV 2024
Smart Help: Strategic Opponent Modeling for Proactive and Adaptive Robot Assistance in Households
CVPR 2024
Adaptive Rotated Convolution for Rotated Object Detection
ICCV 2023
A Universal PINNs Method for Solving Partial Differential Equations with a Point Source
IJCAI 2022
Meta-Auto-Decoder for Solving Parametric Partial Differential Equations
NeurIPS 2022
A Trace-restricted Kronecker-Factored Approximation to Natural Gradient
AAAI 2021
SKFAC: Training Neural Networks With Faster Kronecker-Factored Approximate Curvature
CVPR 2021
THOR, Trace-based Hardware-driven Layer-Oriented Natural Gradient Descent Computation
AAAI 2021