戚萌

2026

Automatic Marker Placement Method for Marker-Based Virtual Reality

Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

DOI

2025

面向风格扩散的共享特征学习算法

《浙江大学学报(工学版)》

2025

SemABC: Semantic-Guided Adaptive Bias Calibration for Generative Zero-Shot Point Cloud Segmentation

Applied Sciences

DOI

2021

基于最小位移可视差的连续Seam Carving算法在图像缩放中的研究

《电子与信息学报》

2021

A Redirected Walking Toolkit for Exploring Large-Scale Virtual Environments

IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf on Pervasive Intelligence and Computing, Intl Conf on Cloud and Big Data Computing, Intl Conf on Cyber Science and Technology Congress (DASC/PiCom/CBDCom/CyberSciTech)

DOI

2026

UniFluids: Unified Neural Operator Learning with Conditional Flow-matching

arXiv preprint

2026

ParaTool: Shifting Tool Representations from Context to Parameters

arXiv preprint

2026

Generative Video Compression with Adaptive Score Distillation

arXiv preprint

2026

CulMind: Benchmarking Multimodal Understanding and Reasoning in Chinese Cultural Heritage

arXiv preprint

2026

MASFactory: A Graph-centric Framework for Orchestrating LLM-Based Multi-Agent Systems with Vibe Graphing

arXiv preprint

2026

MSRL: Scaling Generative Multimodal Reward Modeling via Multi-Stage Reinforcement Learning

arXiv preprint

2026

Score Approximation for Diffusion Models on Arbitrary Low-Dimensional Structures

arXiv preprint

2025

SPDEBench: An Extensive Benchmark for Learning Stochastic PDEs

arXiv preprint

2025

OmniFluids: Physics Pre-trained Modeling of Fluid Dynamics

arXiv preprint

2025

Riemannian Neural Geodesic Interpolant

arXiv preprint

2025

On the Practice of Deep Hierarchical Ensemble Network for Ad Conversion Rate Prediction

arXiv preprint

2024

Mechanism for Collaborative Federated Learning: Pitfalls of Shapley Values

arXiv preprint

2024

On the Convergence of Adam under Non-uniform Smoothness: Separability from SGDM and Beyond

arXiv preprint

2024

HR-Extreme: A High-Resolution Dataset for Extreme Weather Forecasting

arXiv preprint

2024

MEFT: Memory-Efficient Fine-Tuning through Sparse Adapter

arXiv preprint

2023

Complex-valued neural operator assisted soliton identification

arXiv preprint

2023

Power-law Dynamic arising from machine learning

arXiv preprint

2023

Deciphering and integrating invariants for neural operator learning with various physical mechanisms

arXiv preprint

DOI

2023

NeuralStagger: Accelerating Physics-constrained Neural PDE Solver with Spatial-temporal Decomposition

arXiv preprint

2023

Monte Carlo Neural PDE Solver for Learning PDEs via Probabilistic Representation

arXiv preprint

DOI

2022

Deep Random Vortex Method for Simulation and Inference of Navier-Stokes Equations

arXiv preprint

2022

Multilingual Speech Emotion Recognition With Multi-Gating Mechanism and Neural Architecture Search

arXiv preprint

2022

Neural Operator with Regularity Structure for Modeling Dynamics Driven by SPDEs

arXiv preprint

2022

An Efficient Lorentz Equivariant Graph Neural Network for Jet Tagging

arXiv preprint

DOI

2022

Does Lorentz-symmetric design boost network performance in jet physics?

arXiv preprint

DOI

2022

Provable Adaptivity of Adam under Non-uniform Smoothness

arXiv preprint

2021

SE(3) Equivariant Graph Neural Networks with Complete Local Frames

arXiv preprint

2021

UniDrop: A Simple yet Effective Technique to Improve Transformer without Extra Cost

arXiv preprint

2021

Machine-Learning Non-Conservative Dynamics for New-Physics Detection

arXiv preprint

DOI

2021

Does Momentum Change the Implicit Regularization on Separable Data?

arXiv preprint

2021

R-Drop: Regularized Dropout for Neural Networks

arXiv preprint

2021

Incorporating NODE with Pre-trained Neural Differential Operator for Learning Dynamics

arXiv preprint

2021

PriorGrad: Improving Conditional Denoising Diffusion Models with Data-Dependent Adaptive Prior

arXiv preprint

2021

Optimizing Information-theoretical Generalization Bounds via Anisotropic Noise in SGLD

arXiv preprint

2020

Dynamic of Stochastic Gradient Descent with State-Dependent Noise

arXiv preprint

2020

Constructing Basis Path Set by Eliminating Path Dependency

arXiv preprint

2020

The Implicit Bias for Adaptive Optimization Algorithms on Homogeneous Neural Networks

arXiv preprint

2019

Interpreting Basis Path Set in Neural Networks

arXiv preprint

2019

Reinforcement Learning with Dynamic Boltzmann Softmax Updates

arXiv preprint

2019

Positively Scale-Invariant Flatness of ReLU Neural Networks

arXiv preprint

2018

$\mathcal{G}$-SGD: Optimizing ReLU Neural Networks in its Positively Scale-Invariant Space

arXiv preprint

2018

Capacity Control of ReLU Neural Networks by Basis-path Norm

arXiv preprint

2018

Target Transfer Q-Learning and Its Convergence Analysis

arXiv preprint

2018

Differential Equations for Modeling Asynchronous Algorithms

arXiv preprint

2017

Convergence Analysis of Distributed Stochastic Gradient Descent with Shuffling

arXiv preprint

2016

A Communication-Efficient Parallel Algorithm for Decision Tree

arXiv preprint

2016

Generalization Error Bounds for Optimization Algorithms via Stability

arXiv preprint

2016

Asynchronous Stochastic Proximal Optimization Algorithms with Variance Reduction

arXiv preprint

2016

Asynchronous Stochastic Gradient Descent with Delay Compensation

arXiv preprint