Zidong Wang
16 papers · 2021–2026 · 9 conferences · across top CS/AI conferences
Achievements
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🐝 Cross-Pollinator (13) 🧭 Keyword Pioneer 🌉 Interdisciplinary Bridge 🌍 Conference Polyglot (9) 🏃 Academic Marathon (5)
🌍
Conference Polyglot
(9)
🧭
Keyword Pioneer
🐝
Cross-Pollinator
(13)
🏆
Grand Slam
🔥
Unstoppable
(5)
💎
Century Club
(14)
⚡
Prolific Year
(5)
🗃️
Keyword Collector
(69)
Conferences
AAAI (4)
CVPR (3)
IJCAI (2)
NIPS (2)
ECCV (1)
ICCV (1)
ICLR (1)
ICML (1)
NAACL (1)
Top co-authors
Research topics
Keywords
partial differential equation
(3)
causal inference
(3)
second-order optimization
(3)
fisher information matrix
(3)
physics-informed neural network
(3)
neural network optimization
(2)
neural network training
(2)
multi-agent system
(2)
curvature approximation
(2)
kronecker factorization
(2)
natural gradient
(2)
deep neural network
(2)
large language model
(2)
class imbalance
(1)
human-robot interaction
(1)
manifold learning
(1)
causal structure learning
(1)
stochastic gradient descent
(1)
object localization
(1)
temporal reasoning
(1)
Papers
GIER: Addressing Class Imbalance in GNNs Through Experience Replay
AAAI 2026
Robust Causal Discovery Under Imperfect Structural Constraints
AAAI 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
Smart Help: Strategic Opponent Modeling for Proactive and Adaptive Robot Assistance in Households
CVPR 2024
P$^2$C$^2$Net: PDE-Preserved Coarse Correction Network for efficient prediction of spatiotemporal dynamics
NIPS 2024
HTCCN: Temporal Causal Convolutional Networks with Hawkes Process for Extrapolation Reasoning in Temporal Knowledge Graphs
NAACL 2024
FiT: Flexible Vision Transformer for Diffusion Model
ICML 2024
PredBench: Benchmarking Spatio-Temporal Prediction across Diverse Disciplines
ECCV 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
NIPS 2022
SKFAC: Training Neural Networks With Faster Kronecker-Factored Approximate Curvature
CVPR 2021
A Trace-restricted Kronecker-Factored Approximation to Natural Gradient
AAAI 2021
THOR, Trace-based Hardware-driven Layer-Oriented Natural Gradient Descent Computation
AAAI 2021