Wenjing Jiang

According to our database, Wenjing Jiang authored at least 25 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Skip-AttSeqNet: Leveraging skip connection and attention-driven Seq2seq model to enhance eye movement event detection in Parkinson's disease.

Xin Wang, Lizhou Fan, Haiyun Li, Xiaochan Bi, Wenjing Jiang, Xin Ma

Biomed. Signal Process. Control., 2025

ML-Based AIG Timing Prediction to Enhance Logic Optimization.

Wenjing Jiang, Jin Yan, Sachin S. Sapatnekar

Proceedings of the Design, Automation & Test in Europe Conference, 2025

2024

Classification of ECG signals based on local fractal feature.

Wenjing Jiang, Jian Wang

Multim. Tools Appl., May, 2024

A Machine Learning Approach to Improving Timing Consistency between Global Route and Detailed Route.

Vidya A. Chhabria, Wenjing Jiang, Andrew B. Kahng, Sachin S. Sapatnekar

ACM Trans. Design Autom. Electr. Syst., January, 2024

Efficiently linear and unconditionally energy-stable time-marching schemes with energy relaxation for the phase-field surfactant model.

Junxiang Yang, Mengyu Luo, Wenjing Jiang, Jian Wang

J. Comput. Appl. Math., 2024

Uniform patterns formation based on Gray-Scott model for 3D printing.

Wenjing Jiang, Ziling Lu, Jian Wang

Comput. Phys. Commun., 2024

A novel phase-field model for three-dimensional shape transformation.

Seokjun Ham, Hyundong Kim, Youngjin Hwang, Soobin Kwak, Jyoti, Jian Wang, Heming Xu, Wenjing Jiang, Junseok Kim

Comput. Math. Appl., 2024

Leveraging multimodal deep learning framework and a comprehensive audio-visual dataset to advance Parkinson's detection.

Cuihua Lv, Lizhou Fan, Haiyun Li, Jun Ma, Wenjing Jiang, Xin Ma

Biomed. Signal Process. Control., 2024

OpenROAD and CircuitOps: Infrastructure for ML EDA Research and Education.

Vidya A. Chhabria, Wenjing Jiang, Andrew B. Kahng, Rongjian Liang, Haoxing Ren, Sachin S. Sapatnekar, Bing-Yue Wu

Proceedings of the 42nd IEEE VLSI Test Symposium, 2024

IR-Aware ECO Timing Optimization Using Reinforcement Learning.

Wenjing Jiang, Vidya A. Chhabria, Sachin S. Sapatnekar

Proceedings of the 2024 ACM/IEEE International Symposium on Machine Learning for CAD, 2024

Simultaneous Monocular Endoscopic Dense Depth and Odometry Estimation Using Local-Global Integration Networks.

Wenkang Fan, Wenjing Jiang, Hao Fang, Hong Shi, Jianhua Chen, Xiongbiao Luo

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

DCTAN: Densely Convolved Transformer Aggregation Networks for Monocular Dense Depth Prediction in Robotic Endoscopy.

Wenkang Fan, Wenjing Jiang, Hao Fang, Hong Shi, Jianhua Chen, Xiongbiao Luo

Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

NTIRE 2024 Dense and Non-Homogeneous Dehazing Challenge Report.

Codruta O. Ancuti, Cosmin Ancuti, Florin-Alexandru Vasluianu, Radu Timofte, Yidi Liu, Xingbo Wang, Yurui Zhu, Gege Shi, Xin Lu, Xueyang Fu, Zheng-Jun Zha, Wei Dong, Han Zhou, Ruiyi Wang, Xiaohong Liu, Guangtao Zhai, Jun Chen, Wei Song, Yichang Gao, Jiahao Xiong, Hualiang Lin, Xianger Li, Dong Li, Mohab Kishawy, Ruibin Li, Seyed Amirreza Mousavi, Rana Rauf, Yangyi Liu, Huan Liu, Mingsheng Tu, Kele Xu, JiaWen Chen, Qisheng Xu, Tao Sun, Jin Guo, Ben Shao, Tianli Liu, Mohao Wu, Xingzhuo Yan, Minghan Fu, Lehan Yang, Xin Lin, Lu Qi, Jincen Song, Xiaoqian Hu, Linwei Tao, Hongming Chen, Xiang Chen, Chuanlong Xie, Zhao Zhang, Junhu Wang, Yanyan Wei, Suiyi Zhao, Shengeng Tang, Sampada Malagi, Amogh Joshi, Nikhil Akalwadi, Chaitra Desai, Ramesh Ashok Tabib, Uma Mudenagudi, Wenjing Jiang, Jagadeesh Kalyanshetti, Vijayalaxmi Ashok Aralikatti, Palani Yashaswini, Nitish Upasi, Dikshit Hegde, Ujwala Patil, Sujata C

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

A fast, efficient, and explicit phase-field model for 3D mesh denoising.

Jian Wang, Ziwei Han, Wenjing Jiang, Junseok Kim

Appl. Math. Comput., December, 2023

A novel classification method combining phase-field and DNN.

Jian Wang, Ziwei Han, Wenjing Jiang, Junseok Kim

Pattern Recognit., October, 2023

A novel MF-DFA-Phase-Field hybrid MRIs classification system.

Jian Wang, Heming Xu, Wenjing Jiang, Ziwei Han, Junseok Kim

Expert Syst. Appl., September, 2023

Distributed processing of spatiotemporal ocean data: a survey.

Xiaoyong Li, Jingyun Gu, Guolong Tan, Wenjing Jiang, Ao Cui, Leiming Shu, Kaijun Ren, Haoyang Zhu, Jedi S. Shang, Zichen Xu

World Wide Web (WWW), July, 2023

3D object feature extraction and classification using 3D MF-DFA.

Jian Wang, Ziwei Han, Wenjing Jiang, Junseok Kim

Comput. Vis. Image Underst., July, 2023

Self-supervised Cascade Training for Monocular Endoscopic Dense Depth Recovery.

Wenjing Jiang, Wenkang Fan, Jianhua Chen, Hong Shi, Xiongbiao Luo

Proceedings of the Pattern Recognition and Computer Vision - 6th Chinese Conference, 2023

EEG based Parkinson Detection through Supervised Information Enhanced Contrastive Learning.

Jian Song, Xiang Li, Wenjing Jiang, Chunxiao Wang, Zhigang Zhao, Jialiang Lv, Bin Hu

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

2022

Multi-focus image fusion dataset and algorithm test in real environment.

Shuaiqi Liu, Weijian Peng, Wenjing Jiang, Yang Yang, Jie Zhao, Yonggang Su

Frontiers Neurorobotics, September, 2022

From Global Route to Detailed Route: ML for Fast and Accurate Wire Parasitics and Timing Prediction.

Vidya A. Chhabria, Wenjing Jiang, Andrew B. Kahng, Sachin S. Sapatnekar

Proceedings of the 2022 ACM/IEEE Workshop on Machine Learning for CAD, 2022

2021

Cost risk analysis for instance recommendation in a sustainable Cloud-cyber-physical system framework.

Wenjing Jiang, Zichen Xu, Cuiying Gao, Jingyun Gu, Yuhao Wang

Softw. Pract. Exp., 2021

Computer-aided hospital wireless system and gynecological malignant tumor nursing intervention.

Lirong Yu, Nan Yu, Zhi Wang, Wenjing Jiang, Lihua Yu, Mei Song

Microprocess. Microsystems, 2021

Semi-supervised Surgical Tool Detection Based on Highly Confident Pseudo Labeling and Strong Augmentation Driven Consistency.

Wenjing Jiang, Tong Xia, Zhiqiong Wang, Fucang Jia

Proceedings of the Deep Generative Models, and Data Augmentation, Labelling, and Imperfections, 2021