Junting Wang

According to our database, Junting Wang authored at least 20 papers between 2018 and 2024.

Collaborative distances:

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

2024

High-Precision LBL/INS Round-Trip Tightly Coupled Navigation Based on Constrained Acoustic Ray-Tracking and RTS Smoothing.

Yangfan Liu, Tianhe Xu, Wenfeng Nie, Junting Wang, Jianxu Shu, Shengqiu Zhang, Wenlong Yang

IEEE Trans. Veh. Technol., November, 2024

Experimental Results of Underwater Sound Speed Profile Inversion by Few-Shot Multi-Task Learning.

Wei Huang, Jixuan Zhou, Fan Gao, Junting Wang, Tianhe Xu

Remote. Sens., January, 2024

A Pre-trained Sequential Recommendation Framework: Popularity Dynamics for Zero-shot Transfer.

Junting Wang, Praneet Rathi, Hari Sundaram

CoRR, 2024

Enforcing high frequency enhancement in deep networks for simultaneous depth estimation and dehazing.

Xing Wei, Xiufen Ye, Xinkui Mei, Junting Wang, Heming Ma

Appl. Soft Comput., 2024

A Dual-Feedback Adaptive Clone Selection Algorithm With Golden Sine Search for Parameter Identification of Photovoltaic Models.

Weiwei Zhang, Jiaxin Yang, Qishan He, Zhiyang Liu, Junting Wang, Zhi Rao, Meng Li, Xiaoqiu Yu, Weizheng Zhang

IEEE Access, 2024

A Pre-trained Zero-shot Sequential Recommendation Framework via Popularity Dynamics.

Junting Wang, Praneet Rathi, Hari Sundaram

Proceedings of the 18th ACM Conference on Recommender Systems, 2024

2023

3D genomic organization in cancers.

Junting Wang, Huan Tao, Hao Li, Xiaochen Bo, Hebing Chen

Quant. Biol., June, 2023

Underwater self-supervised monocular depth estimation and its application in image enhancement.

Junting Wang, Xiufen Ye, Yusong Liu, Xinkui Mei, Jun Hou

Eng. Appl. Artif. Intell., April, 2023

UIR-Net: A Simple and Effective Baseline for Underwater Image Restoration and Enhancement.

Xinkui Mei, Xiufen Ye, Xiaofeng Zhang, Yusong Liu, Junting Wang, Jun Hou, Xuli Wang

Remote. Sens., January, 2023

Experimental Results of Underwater Sound Speed Profile Inversion by Few-shot Multi-task Learning.

Wei Huang, Fan Gao, Junting Wang, Hao Zhang

CoRR, 2023

Pre-trained Neural Recommenders: A Transferable Zero-Shot Framework for Recommendation Systems.

Junting Wang, Adit Krishnan, Hari Sundaram, Yunzhe Li

CoRR, 2023

2022

Self-supervised role learning for graph neural networks.

Aravind Sankar, Junting Wang, Adit Krishnan, Hari Sundaram

Knowl. Inf. Syst., 2022

2021

Spatial density of open chromatin: an effective metric for the functional characterization of topologically associated domains.

Shuai Jiang, Hao Li, Hao Hong, Guifang Du, Xin Huang, Yu Sun, Junting Wang, Huan Tao, Kang Xu, Cheng Li, Yang Chen, Hebing Chen, Xiaochen Bo

Briefings Bioinform., 2021

Ranking User-Generated Content via Multi-Relational Graph Convolution.

Kanika Narang, Adit Krishnan, Junting Wang, Chaoqi Yang, Hari Sundaram, Carolyn Sutter

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

ProtoCF: Prototypical Collaborative Filtering for Few-shot Recommendation.

Aravind Sankar, Junting Wang, Adit Krishnan, Hari Sundaram

Proceedings of the RecSys '21: Fifteenth ACM Conference on Recommender Systems, Amsterdam, The Netherlands, 27 September 2021, 2021

2020

Adaptive Robust Unscented Kalman Filter for AUV Acoustic Navigation.

Junting Wang, Tianhe Xu, Zhenjie Wang

Sensors, 2020

Trajectories in Epistemic Network Analysis.

Jais Brohinsky, Cody Marquart, Junting Wang, Andrew R. Ruis, David Williamson Shaffer

Proceedings of the Advances in Quantitative Ethnography - Second International Conference, 2020

Beyond Localized Graph Neural Networks: An Attributed Motif Regularization Framework.

Aravind Sankar, Junting Wang, Adit Krishnan, Hari Sundaram

Proceedings of the 20th IEEE International Conference on Data Mining, 2020

2019

An Induced Multi-Relational Framework for Answer Selection in Community Question Answer Platforms.

Kanika Narang, Chaoqi Yang, Adit Krishnan, Junting Wang, Hari Sundaram, Carolyn Sutter

CoRR, 2019

2018

ECharts: A declarative framework for rapid construction of web-based visualization.

Deqing Li, Honghui Mei, Yi Shen, Shuang Su, Wenli Zhang, Junting Wang, Ming Zu, Wei Chen

Vis. Informatics, 2018