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Jiaxuan Wang
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2024
- [j9]Yushan Fang, Yu Yao
, Xiaoli Lin, Jiaxuan Wang, Hao Zhai:
A feature selection based on genetic algorithm for intrusion detection of industrial control systems. Comput. Secur. 139: 103675 (2024) - [j8]Mengtao Huang, Jiaxuan Wang:
Pedestrian trajectory prediction method based on automatic driving. J. Intell. Fuzzy Syst. 46(4): 9291-9310 (2024) - [j7]Xinlei Wang
, Mingshu He
, Jiaxuan Wang, Xiaojuan Wang:
Toward Efficient Neural Networks Through Predictor-Assisted NSGA-III for Anomaly Traffic Detection of IoT. IEEE Trans. Cogn. Commun. Netw. 10(3): 982-995 (2024) - [c17]Tara Capel
, Bernd Ploderer
, Filip Bircanin
, Simon Hanmer
, Jamie Paige Yates
, Jiaxuan Wang
, Kai Ling Khor
, Tuck Wah Leong
, Greg Wadley
, Michelle Newcomb
:
Studying Self-Care with Generative AI Tools: Lessons for Design. Conference on Designing Interactive Systems 2024 - [c16]Xing Huang, Jiaxuan Wang, Zhiwen Yu, Bin Guo, Tsung-Yi Ho, Ulf Schlichtmann, Krishnendu Chakrabarty:
PathDriver-Wash: A Path-Driven Wash Optimization Method for Continuous-Flow Lab-on-a-Chip Systems. DATE 2024: 1-6 - [i9]Tara Capel, Bernd Ploderer, Filip Bircanin, Simon Hanmer, Jamie Paige Yates, Jiaxuan Wang, Kai Ling Khor, Tuck Wah Leong, Greg Wadley, Michelle Newcomb:
Studying Self-Care with Generative AI Tools: Lessons for Design. CoRR abs/2405.05458 (2024) - 2023
- [j6]Mengtao Huang, Yiyi Wan, Zhenwei Gao, Jiaxuan Wang:
Real-time traffic sign detection model based on multi-branch convolutional reparameterization. J. Real Time Image Process. 20(3): 57 (2023) - [j5]Meilin Li
, Jie Yang, Shenghang Gu
, Jiaxuan Wang
, Yu Zou
, Ruguo Ouyang
, Wankai Tang, Shuqiang Xia, Shi Jin:
Integrated beam training and environmental sensing in the mmWave prototype system. Phys. Commun. 60: 102123 (2023) - [j4]Jiaxuan Wang
, Weihan Zhang, Zhifu Zhang
, Yizhe Huang:
A Cylindrical Near-Field Acoustical Holography Method Based on Cylindrical Translation Window Expansion and an Autoencoder Stacked with 3D-CNN Layers. Sensors 23(8): 4146 (2023) - [c15]Yashi Lin
, Jiaxuan Wang
, Zihao Luo
, Shaojun Li
, Yidan Zhang
, Burkhard Claus Wünsche
:
Dragon Hunter: Loss Aversion for Increasing Physical Activity in AR Exergames. ACSW 2023: 212-221 - [c14]Huiyuan Fu, Wenkai Zheng, Xicong Wang, Jiaxuan Wang, Heng Zhang, Huadong Ma:
Dancing in the Dark: A Benchmark towards General Low-light Video Enhancement. ICCV 2023: 12831-12840 - [c13]Fangwen Shu, Jiaxuan Wang, Alain Pagani, Didier Stricker:
Structure PLP-SLAM: Efficient Sparse Mapping and Localization using Point, Line and Plane for Monocular, RGB-D and Stereo Cameras. ICRA 2023: 2105-2112 - [c12]Jiaxuan Wang
, Zheng Tan
, Bo Yuan
:
Quad-Criteria Task Scheduling in Multicores Based on NSGAIII. ICSI (1) 2023: 229-241 - 2022
- [j3]Jiaxuan Wang, Rui Wang
, Xin Zeng:
Short-term passenger flow forecasting using CEEMDAN meshed CNN-LSTM-attention model under wireless sensor network. IET Commun. 16(10): 1253-1263 (2022) - [j2]Geng Yang
, Jie Lei
, Weiying Xie
, Zhenman Fang
, Yunsong Li
, Jiaxuan Wang, Xin Zhang
:
Algorithm/Hardware Codesign for Real-Time On-Satellite CNN-Based Ship Detection in SAR Imagery. IEEE Trans. Geosci. Remote. Sens. 60: 1-18 (2022) - [c11]Lushan Song, Jiaxuan Wang, Zhexuan Wang, Xinyu Tu, Guopeng Lin, Wenqiang Ruan, Haoqi Wu, Weili Han:
pMPL: A Robust Multi-Party Learning Framework with a Privileged Party. CCS 2022: 2689-2703 - [c10]Jiaxuan Wang, Shaoxin Yuan, Zhuanzhuan Wang, Ke Zhao:
The Methodology for Predicting the Monthly Urban Traffic Accidents. ICITE 2022: 337-343 - [c9]Ke Zhao, Shaoxin Yuan, Zhuanzhuan Wang, Jiaxuan Wang:
Research on Urban Road Mean Speed Prediction Method Based on LSTM-CNN Model. ICITE 2022: 365-371 - [c8]Jiaxuan Wang, Muyan Yao, Ruipeng Gao, Dan Tao:
Crowdsourced Image Driven PM2.5 Estimation based on Hybrid 3-Channel Feature Map. MSN 2022: 68-75 - [c7]Jiaxuan Wang, Sarah Jabbour, Maggie Makar, Michael W. Sjoding, Jenna Wiens:
Learning Concept Credible Models for Mitigating Shortcuts. NeurIPS 2022 - [i8]Fangwen Shu, Jiaxuan Wang, Alain Pagani, Didier Stricker:
Structure PLP-SLAM: Efficient Sparse Mapping and Localization using Point, Line and Plane for Monocular, RGB-D and Stereo Cameras. CoRR abs/2207.06058 (2022) - [i7]Lushan Song, Jiaxuan Wang, Zhexuan Wang, Xinyu Tu, Guopeng Lin, Wenqiang Ruan, Haoqi Wu, Weili Han:
pMPL: A Robust Multi-Party Learning Framework with a Privileged Party. CoRR abs/2210.00486 (2022) - 2021
- [c6]Jiaxuan Wang, Jenna Wiens, Scott M. Lundberg:
Shapley Flow: A Graph-based Approach to Interpreting Model Predictions. AISTATS 2021: 721-729 - [c5]Jiaxuan Wang, Chaoyi Wang, Yang Hua, Tao Song, Zhengui Xue, Ruhui Ma, Haibing Guan:
Positional Mask Attention for Video Sequence Modeling. CISP-BMEI 2021: 1-5 - 2020
- [i6]Jiaxuan Wang, Jenna Wiens:
AdaSGD: Bridging the gap between SGD and Adam. CoRR abs/2006.16541 (2020) - [i5]Jiaxuan Wang, Jenna Wiens, Scott M. Lundberg:
Shapley Flow: A Graph-based Approach to Interpreting Model Predictions. CoRR abs/2010.14592 (2020)
2010 – 2019
- 2019
- [j1]Jinghua Li, Miaomiao Sun
, Duanfeng Han, Jiaxuan Wang, Xuezhang Mao, Xiaoyuan Wu:
A knowledge discovery and reuse method for time estimation in ship block manufacturing planning using DEA. Adv. Eng. Informatics 39: 25-40 (2019) - [c4]Jeeheh Oh
, Jiaxuan Wang, Shengpu Tang
, Michael W. Sjoding, Jenna Wiens:
Relaxed Parameter Sharing: Effectively Modeling Time-Varying Relationships in Clinical Time-Series. MLHC 2019: 27-52 - [i4]Jeeheh Oh, Jiaxuan Wang, Shengpu Tang, Michael W. Sjoding, Jenna Wiens:
Relaxed Parameter Sharing: Effectively Modeling Time-Varying Relationships in Clinical Time-Series. CoRR abs/1906.02898 (2019) - 2018
- [c3]Jiaxuan Wang, Jeeheh Oh, Haozhu Wang
, Jenna Wiens:
Learning Credible Models. KDD 2018: 2417-2426 - [c2]Jeeheh Oh
, Jiaxuan Wang, Jenna Wiens:
Learning to Exploit Invariances in Clinical Time-Series Data using Sequence Transformer Networks. MLHC 2018: 332-347 - [i3]Jiaxuan Wang, Ian Fox, Jonathan Skaza, Nick Linck, Satinder Singh, Jenna Wiens:
The Advantage of Doubling: A Deep Reinforcement Learning Approach to Studying the Double Team in the NBA. CoRR abs/1803.02940 (2018) - [i2]Jeeheh Oh, Jiaxuan Wang, Jenna Wiens:
Learning to Exploit Invariances in Clinical Time-Series Data using Sequence Transformer Networks. CoRR abs/1808.06725 (2018) - 2017
- [i1]Jiaxuan Wang, Jeeheh Oh, Jenna Wiens:
Learning Credible Models. CoRR abs/1711.03190 (2017) - 2015
- [c1]Yu-Wei Chao, Zhan Wang, Yugeng He, Jiaxuan Wang, Jia Deng:
HICO: A Benchmark for Recognizing Human-Object Interactions in Images. ICCV 2015: 1017-1025
Coauthor Index
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