Fan Chen | DeepAI

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Featured Co-authors

Liang Lin
203 publications
Caiming Xiong
192 publications
Yiran Chen
94 publications
Hai Li
80 publications
Huan Wang
69 publications
Yuejie Chi
54 publications
Yan Huang
48 publications
Haizhao Yang
46 publications
Yu Bai
44 publications
Yan Chen
44 publications
Song Mei
30 publications

∙ 03/23/2023

ENVIDR: Implicit Differentiable Renderer with Neural Environment Lighting

Recent advances in neural rendering have shown great potential for recon...

0 Ruofan Liang, et al. ∙

∙ 03/19/2023

Provable Convergence of Variational Monte Carlo Methods

The Variational Monte Carlo (VMC) is a promising approach for computing ...

0 Tianyou Li, et al. ∙

∙ 02/21/2023

Co-Driven Recognition of Semantic Consistency via the Fusion of Transformer and HowNet Sememes Knowledge

Semantic consistency recognition aims to detect and judge whether the se...

0 Fan Chen, et al. ∙

∙ 02/16/2023

QTrojan: A Circuit Backdoor Against Quantum Neural Networks

We propose a circuit-level backdoor attack, QTrojan, against Quantum Neu...

0 Cheng Chu, et al. ∙

∙ 02/02/2023

Lower Bounds for Learning in Revealing POMDPs

This paper studies the fundamental limits of reinforcement learning (RL)...

9 Fan Chen, et al. ∙

∙ 12/06/2022

Uniform-in-Time Propagation of Chaos for Mean Field Langevin Dynamics

We study the uniform-in-time propagation of chaos for mean field Langevi...

0 Fan Chen, et al. ∙

∙ 11/24/2022

CryptoLight: An Electro-Optical Accelerator for Fully Homomorphic Encryption

Fully homomorphic encryption (FHE) protects data privacy in cloud comput...

0 Mengxin Zheng, et al. ∙

∙ 09/29/2022

Partially Observable RL with B-Stability: Unified Structural Condition and Sharp Sample-Efficient Algorithms

Partial Observability – where agents can only observe partial informatio...

4 Fan Chen, et al. ∙

∙ 09/23/2022

Unified Algorithms for RL with Decision-Estimation Coefficients: No-Regret, PAC, and Reward-Free Learning

Finding unified complexity measures and algorithms for sample-efficient ...

1 Fan Chen, et al. ∙

∙ 07/13/2022

A Near-Optimal Primal-Dual Method for Off-Policy Learning in CMDP

As an important framework for safe Reinforcement Learning, the Constrain...

0 Fan Chen, et al. ∙

∙ 04/12/2022

Independent Natural Policy Gradient Methods for Potential Games: Finite-time Global Convergence with Entropy Regularization

A major challenge in multi-agent systems is that the system complexity g...

0 Shicong Cen, et al. ∙

∙ 11/08/2021

Enhancing Prototypical Few-Shot Learning by Leveraging the Local-Level Strategy

Aiming at recognizing the samples from novel categories with few referen...

0 Junying Huang, et al. ∙

∙ 10/26/2021

Plug-and-Play Few-shot Object Detection with Meta Strategy and Explicit Localization Inference

Aiming at recognizing and localizing the object of novel categories by a...

13 Junying Huang, et al. ∙

∙ 08/06/2021

Estimating Graph Dimension with Cross-validated Eigenvalues

In applied multivariate statistics, estimating the number of latent dime...

0 Fan Chen, et al. ∙

∙ 12/15/2020

Friedrichs Learning: Weak Solutions of Partial Differential Equations via Deep Learning

This paper proposes Friedrichs learning as a novel deep learning methodo...

0 Fan Chen, et al. ∙

∙ 11/06/2020

Low-Cost Floating-Point Processing in ReRAM for Scientific Computing

We propose ReFloat, a principled approach for low-cost floating-point pr...

0 Linghao Song, et al. ∙

∙ 07/01/2020

A New Basis for Sparse PCA

The statistical and computational performance of sparse principal compon...

17 Fan Chen, et al. ∙

∙ 04/30/2020

White Paper on 6G Drivers and the UN SDGs

The commercial launch of 6G communications systems and United Nations Su...

0 Marja Matinmikko-Blue, et al. ∙

∙ 10/04/2019

Targeted sampling from massive Blockmodel graphs with personalized PageRank

This paper provides statistical theory and intuition for Personalized Pa...

0 Fan Chen, et al. ∙

∙ 09/18/2019

Exploring Bit-Slice Sparsity in Deep Neural Networks for Efficient ReRAM-Based Deployment

Emerging resistive random-access memory (ReRAM) has recently been intens...

0 Jingyang Zhang, et al. ∙

∙ 02/02/2019

Deep Learning for Vertex Reconstruction of Neutrino-Nucleus Interaction Events with Combined Energy and Time Data

We present a deep learning approach for vertex reconstruction of neutrin...

0 Linghao Song, et al. ∙