Search Results for author: Renjie Li

Found 8 papers, 0 papers with code

Inverse Design of Photonic Crystal Surface Emitting Lasers is a Sequence Modeling Problem

no code implementations8 Mar 2024 Ceyao Zhang, Renjie Li, Cheng Zhang, Zhaoyu Zhang, Feng Yin

By modeling the inverse design of PCSEL as a sequential decision-making problem, RL approaches can construct a satisfactory PCSEL structure from scratch.

Decision Making Reinforcement Learning (RL)

Rapid-Motion-Track: Markerless Tracking of Fast Human Motion with Deeper Learning

no code implementations18 Jan 2023 Renjie Li, Chun Yu Lao, Rebecca St. George, Katherine Lawler, Saurabh Garg, Son N. Tran, Quan Bai, Jane Alty

RMT and a range of DLC models were applied to the video data with tapping frequencies up to 8Hz to extract movement features.

Hybrid CNN -Interpreter: Interpret local and global contexts for CNN-based Models

no code implementations31 Oct 2022 Wenli Yang, Guan Huang, Renjie Li, Jiahao Yu, Yanyu Chen, Quan Bai, Beyong Kang

Convolutional neural network (CNN) models have seen advanced improvements in performance in various domains, but lack of interpretability is a major barrier to assurance and regulation during operation for acceptance and deployment of AI-assisted applications.

Feature Correlation

A Comprehensive Review on Deep Supervision: Theories and Applications

no code implementations6 Jul 2022 Renjie Li, Xinyi Wang, Guan Huang, Wenli Yang, Kaining Zhang, Xiaotong Gu, Son N. Tran, Saurabh Garg, Jane Alty, Quan Bai

Deep supervision, or known as 'intermediate supervision' or 'auxiliary supervision', is to add supervision at hidden layers of a neural network.

POViT: Vision Transformer for Multi-objective Design and Characterization of Nanophotonic Devices

no code implementations17 May 2022 Xinyu Chen, Renjie Li, Yueyao Yu, Yuanwen Shen, Wenye Li, Zhaoyu Zhang, Yin Zhang

In this work, we propose the first-ever Transformer model (POViT) to efficiently design and simulate semiconductor photonic devices with multiple objectives.

Endowing Deep 3D Models with Rotation Invariance Based on Principal Component Analysis

no code implementations20 Oct 2019 Zelin Xiao, Hongxin Lin, Renjie Li, Hongyang Chao, Shengyong Ding

Interestingly, the principal component analysis exactly provides an effective way to define such a frame, i. e. setting the principal components as the frame axes.

Object Retrieval

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