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Yutao Wang
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2020 – today
- 2024
- [j21]Chao Li
, Bingchun Chen
Multi-omic Analyses Shed Light on The Genetic Control of High-altitude Adaptation in Sheep. Genom. Proteom. Bioinform. 22(1) (2024) - [j20]Nan Wu
Sub-region aware retrieval-based network with multimodal prior knowledge guidance for microvascular invasion prediction in PET/CT imaging. Neural Comput. Appl. 36(19): 11623-11641 (2024) - [j19]Dayang Wang
Measurement of Solid Concentration in Gas-Solid Flows Using a Microwave Resonant Cavity Sensor. IEEE Trans. Instrum. Meas. 73: 1-9 (2024) - [j18]Hongzhi Guo
Multi-UAV Cooperative Task Offloading and Resource Allocation in 5G Advanced and Beyond. IEEE Trans. Wirel. Commun. 23(1): 347-359 (2024) - [j17]Yunhua Zhang, Hangxu Wang, Gang Yang
CSNet: a ConvNeXt-based Siamese network for RGB-D salient object detection. Vis. Comput. 40(3): 1805-1823 (2024) - [c33]Penghao Cai, Fuqian Yang, Zhipeng Xue, Yutao Wang, Hanyu Zhu, Xiqi Gao:
Blind Residual CFO Estimation via CNN-Enabled EM Algorithm. VTC Spring 2024: 1-5 - 2023
- [j16]Yu Bao
MCEN: Maximum cooperative equilibrium WSN based on greedy prediction to reduce opposite transmission. Comput. Networks 221: 109506 (2023) - [j15]Chang Liu
TANet: Transformer-based asymmetric network for RGB-D salient object detection. IET Comput. Vis. 17(4): 415-430 (2023) - [j14]Dayang Wang
Eliminating the Influence of Moisture on Solid Concentration Measurement in Gas-Solid Flows Using Combined Sensors. IEEE Trans. Instrum. Meas. 72: 1-10 (2023) - [c32]Shuo Wang, Gang Yang, Yunhua Zhang, Qiqi Xu, Yutao Wang:
MBDNet: Mitigating the "Under-Training Issue" in Dual-Encoder Model for RGB-d Salient Object Detection. ICIC (5) 2023: 99-111 - [c31]Zhihao Yang
Research on Segmentation Algorithm for Vertebral CT Images Based on Spatial Configuration-Net and U-Net Deep Learning Model. ISAIMS 2023: 236-241 - 2022
- [j13]Yutao Wang, Shuying Luo, Gehui Jin, Randi Fu, Zhongfei Yu, Jian Zhang:
Preoperative clinical-radiomics nomogram for microvascular invasion prediction in hepatocellular carcinoma using 18F-FDG PET/CT. BMC Medical Imaging 22(1): 70 (2022) - [j12]Hongzhi Guo
Achieve Load Balancing in Multi-UAV Edge Computing IoT Networks: A Dynamic Entry and Exit Mechanism. IEEE Internet Things J. 9(19): 18725-18736 (2022) - [j11]Jiaqi Liu
A Quasi-Sinusoidal Concentrated Winding Used in an Integrated Magnetic-Field-Modulated Brushless Compound-Structure Machine. IEEE Trans. Ind. Electron. 69(8): 7675-7684 (2022) - [j10]Hongzhi Guo
Inter-Server Collaborative Federated Learning for Ultra-Dense Edge Computing. IEEE Trans. Wirel. Commun. 21(7): 5191-5203 (2022) - [j9]Hongzhi Guo, Yutao Wang, Jiajia Liu, Nei Kato:
Super-Broadband Optical Access Networks in 6G: Vision, Architecture, and Key Technologies. IEEE Wirel. Commun. 29(6): 152-159 (2022) - [i1]Chang Liu, Gang Yang, Shuo Wang, Hangxu Wang, Yunhua Zhang, Yutao Wang:
TANet: Transformer-based Asymmetric Network for RGB-D Salient Object Detection. CoRR abs/2207.01172 (2022) - 2021
- [j8]Chuanhua Li
A Method for Quantifying the Impacts of Human Activities on Net Primary Production of Grasslands in Northwest China. Remote. Sens. 13(13): 2479 (2021) - [c30]Yutao Wang, Hongzhi Guo, Jiajia Liu
Cooperative Task Offloading in UAV Swarm-based Edge Computing. GLOBECOM 2021: 1-6 - [c29]Boyi Zhou, Gang Yang, Xin Wan, Yutao Wang, Chang Liu, Hangxu Wang:
A Simple Network with Progressive Structure for Salient Object Detection. PRCV (2) 2021: 397-408 - [c28]Xin Wan, Gang Yang, Boyi Zhou, Chang Liu, Hangxu Wang, Yutao Wang:
Feature Enhancement and Multi-scale Cross-Modal Attention for RGB-D Salient Object Detection. PRCV (2) 2021: 409-420 - 2020
- [c27]Kezhong Wang, Yutao Wang, Ruicong Zhang, Rundong Ye, Yu Bao:
A Lightweight authentication method between homogeneous nodes in Wireless Sensor Network based on Message Authentication Code. iSCI 2020: 68-72
2010 – 2019
- 2019
- [j7]Fengge Zhang
Design and Performance Comparisons of Brushless Doubly Fed Generators With Different Rotor Structures. IEEE Trans. Ind. Electron. 66(1): 631-640 (2019) - [c26]Yingtao Niu, Yutao Wang, Cheng Li:
Low Complexity Sensing Algorithm of Periodic Impulsive Interference. WISATS (1) 2019: 707-716 - [c25]Fang Fang, Yonggui Li, Yingtao Niu, Yutao Wang, Chen Han:
Research on Attacks Detection in CSMA Wireless Networks. WCSP 2019: 1-6 - [c24]Yutao Wang, Yingtao Niu, Jianzhong Chen, Fang Fang, Chen Han:
Q-Learning Based Adaptive Frequency Hopping Strategy Under Probabilistic Jamming. WCSP 2019: 1-7 - 2018
- [j6]Zhiqiang Gao, Yixiao Sun, Xiaolong Cui, Yutao Wang, Yanyu Duan, Xu An Wang
Privacy-Preserving Hybrid K-Means. Int. J. Data Warehous. Min. 14(2): 1-17 (2018) - 2016
- [j5]Zhangming Zhu, Jin Hu
A 0.45 V, Nano-Watt 0.033% Line Sensitivity MOSFET-Only Sub-Threshold Voltage Reference With no Amplifiers. IEEE Trans. Circuits Syst. I Regul. Pap. 63-I(9): 1370-1380 (2016) - 2015
- [j4]Yutao Wang, Hsi-Yung Feng:
Outlier detection for scanned point clouds using majority voting. Comput. Aided Des. 62: 31-43 (2015) - [j3]Jiaojiao Yao, Zhangming Zhu, Yutao Wang, Yintang Yang:
Variable resolution SAR ADC architecture with 99.6% reduction in switching energy over conventional scheme. IEICE Electron. Express 12(5): 20150099 (2015) - [j2]Yutao Wang, Zhangming Zhu, Jiaojiao Yao, Yintang Yang:
A 0.45-V, 14.6-nW CMOS Subthreshold Voltage Reference With No Resistors and No BJTs. IEEE Trans. Circuits Syst. II Express Briefs 62-II(7): 621-625 (2015) - [c23]Yutao Wang, Zhangming Zhu, Jiaojiao Yao, Yintang Yang:
A 0.45 V, 15.6 nW MOSFET-only sub-threshold voltage reference with no amplifiers. A-SSCC 2015: 1-4 - [c22]Charles Lang, Neil T. Heffernan, Korinn Ostrow, Yutao Wang:
The Impact of Incorporating Student Confidence Items into an Intelligent Tutor: A Randomized Controlled Trial. EDM 2015: 144-149 - [c21]Leqiang Bai, Yutao Wang:
Two-hop neighbor table tree routing algorithm for ZigBee networks. FSKD 2015: 2220-2224 - [c20]Yutao Wang, Neil T. Heffernan
Towards better affect detectors: effect of missing skills, class features and common wrong answers. LAK 2015: 31-35 - 2014
- [c19]Linglong Zhu, Yutao Wang, Neil T. Heffernan:
The Sequence of Action Model: Leveraging the Sequence of Attempts and Hints. EDM (Workshops) 2014 - [c18]Yutao Wang, Neil T. Heffernan
The Effect of Automatic Reassessment and Relearning on Assessing Student Long-Term Knowledge in Mathematics. Intelligent Tutoring Systems 2014: 490-495 - [c17]Junjie Gu, Yutao Wang, Neil T. Heffernan
Personalizing Knowledge Tracing: Should We Individualize Slip, Guess, Prior or Learn Rate? Intelligent Tutoring Systems 2014: 647-648 - 2013
- [j1]Yutao Wang, Hsi-Yung Feng, Félix-Étienne Delorme, Serafettin Engin:
An adaptive normal estimation method for scanned point clouds with sharp features. Comput. Aided Des. 45(11): 1333-1348 (2013) - [c16]Yutao Wang, Joseph Beck:
Class vs. Student in a Bayesian Network Student Model. AIED 2013: 151-160 - [c15]Yutao Wang, Neil T. Heffernan:
Extending Knowledge Tracing to Allow Partial Credit: Using Continuous versus Binary Nodes. AIED 2013: 181-188 - [c14]Yutao Wang, Neil T. Heffernan:
A Comparison of Two Different Methods to Individualize Students and Skills. AIED 2013: 836-839 - [c13]William J. Hawkins, Neil T. Heffernan, Yutao Wang, Ryan Shaun Baker:
Extending the Assistance Model: Analyzing the Use of Assistance over Time. EDM 2013: 59-66 - [c12]Seth Adjei, Seye Salehizadeh, Yutao Wang, Neil T. Heffernan:
Do students really learn an equal amount independent of whether they get an item correct or wrong? EDM 2013: 304-305 - [c11]Hien Duong, Linglong Zhu, Yutao Wang, Neil T. Heffernan:
A prediction model that uses the sequence of attempts and hints to better predict knowledge: "Better to attempt the problem first, rather than ask for a hint". EDM 2013: 316-317 - [c10]Fei Song, Shubhendu Trivedi, Yutao Wang, Gábor N. Sárközy, Neil T. Heffernan:
Applying Clustering to the Problem of Predicting Retention within an ITS: Comparing Regularity Clustering with Traditional Methods. FLAIRS 2013 - 2012
- [c9]Yutao Wang, Neil T. Heffernan:
Leveraging First Response Time into the Knowledge Tracing Model. EDM 2012: 176-179 - [c8]Yutao Wang, Joseph Beck:
Incorporating Factors Influencing Knowledge Retention into a Student Model. EDM 2012: 201-203 - [c7]Yutao Wang, Neil T. Heffernan
The Student Skill Model. ITS 2012: 399-404 - 2011
- [c6]Yutao Wang, Neil T. Heffernan:
Towards Modeling Forgetting and Relearning in ITS: Preliminary Analysis of ARRS Data. EDM 2011: 352 - [c5]Yutao Wang, Neil T. Heffernan:
The "Assistance" Model: Leveraging How Many Hints and Attempts a Student Needs. FLAIRS 2011 - [c4]Gang Yang, Dong Wang, Yutao Wang, Zunyi Wang:
Robust object tracking by adaptive models combination. iCAST 2011: 160-164 - 2010
- [c3]Yutao Wang, Neil T. Heffernan, Joseph E. Beck:
Representing Student Performance with Partial Credit. EDM 2010: 335-336
1990 – 1999
- 1998
- [c2]Yutao Wang, Jianchang Zhou, Shi Wang:
Neural Network for Time series Prediction and Its Application. ICONIP 1998: 1041-1044 - [c1]Yutao Wang, Jingbo Xia, Jianchang Zhou, Shi Wang:
A Distributed Predictive Expert System. NC 1998: 848-853
Coauthor Index
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