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ORCIDYajing Liu
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
[j28]Shiyu Cheng, Pan Shang, Yingwei Zhang
, Jianhe Guan, Yiqiang Chen, Zeping Lv, Shuyun Huang, Yajing Liu, Haiqun Xie:
An fNIRS representation and fNIRS-scales multimodal fusion method for auxiliary diagnosis of amnestic mild cognitive impairment. Biomed. Signal Process. Control. 96: 106646 (2024)- [j27]Yajing Liu, Turgay Caglar, Chris Peterson, Michael Kirby:
Integrating geometries of ReLU feedforward neural networks. Frontiers Big Data 6 (2024) - [j26]Bo Liu, Yajing Liu, Hongyu Wu:
Tensor-Completion-Enabled Stealthy False Data Injection Attacks on IoT-Based Smart Grid. IEEE Internet Things J. 11(22): 36660-36672 (2024) - [j25]Weicheng Zhang, Yajing Liu, Lingyu Chen, Jianghong Shi, Xuemin Hong, Xianbin Wang:
Semantically-Disentangled Progressive Image Compression for Deep Space Communications: Exploring the Ultra-Low Rate Regime. IEEE J. Sel. Areas Commun. 42(5): 1130-1144 (2024) - [j24]Tong Bai, Chenhao Sun, Wenqing Feng, Yajing Liu, Huanzhen Zhang, Yujia Wang:
The Methodology for Evaluating the Operating State of SF6 HVCBs Based on IDDA. Sensors 24(8): 2513 (2024) - [j23]Shijun Zhou, Zhen Zhang, Yajing Liu, Jiandong Tian:
Restoration on High Turbidity Water Images Under Near-Field Illumination Using a Light-Field Camera. IEEE Trans. Computational Imaging 10: 984-999 (2024) - [j22]Yajing Liu, Ruiqi Chen, Shuyang Li, Jing Yang, Shun Li, Bruno da Silva:
FPGA-Based Sparse Matrix Multiplication Accelerators: From State-of-the-Art to Future Opportunities. ACM Trans. Reconfigurable Technol. Syst. 17(4): 59:1-59:37 (2024) - [j21]Bo Liu, Hongyu Wu, Qihui Yang, Hang Zhang, Yajing Liu, Yingchen Zhang:
Matrix-Completion-Based False Data Injection Attacks Against Machine Learning Detectors. IEEE Trans. Smart Grid 15(2): 2146-2163 (2024) - [c25]Yajing Liu, Shijun Zhou, Xiyao Liu, Chunhui Hao, Baojie Fan, Jiandong Tian:
Unbiased Faster R-CNN for Single-source Domain Generalized Object Detection. CVPR 2024: 28838-28847 - [c24]Shun Li, Ruiqi Chen, Enhao Tang, Yajing Liu, Jing Yang, Kun Wang:
S-LGCN: Software-Hardware Co-Design for Accelerating LightGCN. DATE 2024: 1-6 - [c23]Zichen Wang, Zhuokun Yao, Jianwei Zhang, Ye Zheng, Zhengyuan Zhang, Shuang Deng, Yajing Liu, Hao Liu:
Focus on your Geometry: Exploiting the Potential of Multi-Frame Stereo Depth Estimation Pre-training for 3D Object Detection. IJCNN 2024: 1-8 - [c22]Yajing Liu, Weicheng Zhang, Lingyu Chen, Xuemin Hong, Xianbin Wang:
Neural Multiple Description Image Coding with Semantic Polarization for Lossy Channels. WCNC 2024: 1-6 - [i12]Yajing Liu, Shijun Zhou, Xiyao Liu, Chunhui Hao, Baojie Fan, Jiandong Tian:
Unbiased Faster R-CNN for Single-source Domain Generalized Object Detection. CoRR abs/2405.15225 (2024) - 2023
- [j20]Huma Jamil, Yajing Liu, Nathaniel Blanchard, Michael Kirby, Chris Peterson:
Leveraging linear mapping for model-agnostic adversarial defense. Frontiers Comput. Sci. 5 (2023) - [j19]Yajing Liu, Zhengya Sun, Wensheng Zhang:
Improving fraud detection via hierarchical attention-based Graph Neural Network. J. Inf. Secur. Appl. 72: 103399 (2023) - [j18]Luhan Li, Xuelong Chen, Yaoming Ma, Wenqing Zhao, Hongchao Zuo, Yajing Liu, Dianbin Cao, Xin Xu:
Implications for Validation of IMERG Satellite Precipitation in a Complex Mountainous Region. Remote. Sens. 15(18): 4380 (2023) - [j17]Keyan Wang, Feiyu Bai, Jiaojiao Li, Yajing Liu, Yunsong Li:
MashFormer: A Novel Multiscale Aware Hybrid Detector for Remote Sensing Object Detection. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 16: 2753-2763 (2023) - [j16]Yajing Liu, Zhiwei Xiong, Ya Li, Xinmei Tian, Zheng-Jun Zha:
Domain Generalization Via Encoding and Resampling in a Unified Latent Space. IEEE Trans. Multim. 25: 126-139 (2023) - [j15]Yajing Liu, Zhiwei Xiong, Ya Li, Yuning Lu, Xinmei Tian, Zheng-Jun Zha:
Category-Stitch Learning for Union Domain Generalization. ACM Trans. Multim. Comput. Commun. Appl. 19(1): 25:1-25:19 (2023) - [c21]Huma Jamil, Yajing Liu, Turgay Caglar, Christina M. Cole, Nathaniel Blanchard, Christopher Peterson, Michael Kirby:
Hamming Similarity and Graph Laplacians for Class Partitioning and Adversarial Image Detection. CVPR Workshops 2023: 590-599 - [c20]Yajing Liu, Yuning Lu, Hao Liu, Yaozu An, Zhuoran Xu, Zhuokun Yao, Baofeng Zhang, Zhiwei Xiong, Chenguang Gui:
Hierarchical Prompt Learning for Multi-Task Learning. CVPR 2023: 10888-10898 - [c19]Yajing Liu, Christina M. Cole, Chris Peterson, Michael Kirby:
ReLU Neural Networks, Polyhedral Decompositions, and Persistent Homology. TAG-ML 2023: 455-468 - [i11]Huma Jamil, Yajing Liu, Turgay Caglar, Christina M. Cole, Nathaniel Blanchard, Christopher Peterson, Michael Kirby:
Hamming Similarity and Graph Laplacians for Class Partitioning and Adversarial Image Detection. CoRR abs/2305.01808 (2023) - [i10]Yajing Liu, Christina M. Cole, Chris Peterson, Michael Kirby:
ReLU Neural Networks, Polyhedral Decompositions, and Persistent Homolog. CoRR abs/2306.17418 (2023) - 2022
- [j14]Yajing Liu, Ahmed S. Zamzam, Andrey Bernstein:
Multiarea Distribution System State Estimation via Distributed Tensor Completion. IEEE Trans. Smart Grid 13(6): 4887-4898 (2022) - [c18]Huma Jamil, Yajing Liu, Christina M. Cole, Nathaniel Blanchard, Emily J. King, Michael Kirby, Christopher Peterson:
Dual Graphs of Polyhedral Decompositions for the Detection of Adversarial Attacks. IEEE Big Data 2022: 2913-2921 - [c17]Yuning Lu, Jianzhuang Liu, Yonggang Zhang, Yajing Liu, Xinmei Tian:
Prompt Distribution Learning. CVPR 2022: 5196-5205 - [c16]Jie Huang, Yajing Liu, Xueyang Fu, Man Zhou, Yang Wang, Feng Zhao, Zhiwei Xiong:
Exposure Normalization and Compensation for Multiple-Exposure Correction. CVPR 2022: 6033-6042 - [c15]Jie Huang, Yajing Liu, Feng Zhao, Keyu Yan, Jinghao Zhang, Yukun Huang, Man Zhou, Zhiwei Xiong:
Deep Fourier-Based Exposure Correction Network with Spatial-Frequency Interaction. ECCV (19) 2022: 163-180 - [c14]Yuning Lu, Liangjian Wen, Jianzhuang Liu, Yajing Liu, Xinmei Tian:
Self-Supervision Can Be a Good Few-Shot Learner. ECCV (19) 2022: 740-758 - [c13]Jie Huang, Man Zhou, Yajing Liu, Mingde Yao, Feng Zhao, Zhiwei Xiong:
Exposure-Consistency Representation Learning for Exposure Correction. ACM Multimedia 2022: 6309-6317 - [c12]Hu Yu, Jie Huang, Yajing Liu, Qi Zhu, Man Zhou, Feng Zhao:
Source-Free Domain Adaptation for Real-World Image Dehazing. ACM Multimedia 2022: 6645-6654 - [i9]Yajing Liu, Zhengya Sun, Wensheng Zhang:
Improving Fraud Detection via Hierarchical Attention-based Graph Neural Network. CoRR abs/2202.06096 (2022) - [i8]Yajing Liu, Ahmed S. Zamzam, Andrey Bernstein:
Multi-Area Distribution System State Estimation via Distributed Tensor Completion. CoRR abs/2203.00260 (2022) - [i7]Yuning Lu, Jianzhuang Liu, Yonggang Zhang, Yajing Liu, Xinmei Tian:
Prompt Distribution Learning. CoRR abs/2205.03340 (2022) - [i6]Hu Yu, Jie Huang, Yajing Liu, Qi Zhu, Man Zhou, Feng Zhao:
Source-Free Domain Adaptation for Real-world Image Dehazing. CoRR abs/2207.06644 (2022) - [i5]Yuning Lu, Liangjian Wen, Jianzhuang Liu, Yajing Liu, Xinmei Tian:
Self-Supervision Can Be a Good Few-Shot Learner. CoRR abs/2207.09176 (2022) - [i4]Huma Jamil, Yajing Liu, Christina M. Cole, Nathaniel Blanchard, Emily J. King, Michael Kirby, Christopher Peterson:
Dual Graphs of Polyhedral Decompositions for the Detection of Adversarial Attacks. CoRR abs/2211.13305 (2022) - 2021
- [j13]Yajing Liu, Edwin K. P. Chong, Ali Pezeshki, Zhenliang Zhang:
A General Framework for Bounding Approximate Dynamic Programming Schemes. IEEE Control. Syst. Lett. 5(2): 463-468 (2021) - [j12]Ahmed S. Zamzam, Yajing Liu, Andrey Bernstein:
Model-Free State Estimation Using Low-Rank Canonical Polyadic Decomposition. IEEE Control. Syst. Lett. 5(2): 605-610 (2021) - [j11]April Sagan, Yajing Liu, Andrey Bernstein:
Decentralized Low-Rank State Estimation for Power Distribution Systems. IEEE Trans. Smart Grid 12(4): 3097-3106 (2021) - [c11]Yajing Liu, Xiulian Peng, Zhiwei Xiong, Yan Lu:
Phoneme-Based Distribution Regularization for Speech Enhancement. ICASSP 2021: 726-730 - [c10]Govind Saraswat, Rui Yang, Yajing Liu, Yingchen Zhang:
Analyzing the effects of cyberattacks on distribution system state estimation. ISGT 2021: 1-5 - [i3]Yajing Liu, Xiulian Peng, Zhiwei Xiong, Yan Lu:
Phoneme-based Distribution Regularization for Speech Enhancement. CoRR abs/2104.03759 (2021) - 2020
- [j10]Guangfu Wang, Yajing Liu:
The edge-Wiener index of zigzag nanotubes. Appl. Math. Comput. 377: 125191 (2020) - [j9]Yajing Liu, Edwin K. P. Chong, Ali Pezeshki, Zhenliang Zhang:
Submodular optimization problems and greedy strategies: A survey. Discret. Event Dyn. Syst. 30(3): 381-412 (2020) - [j8]Hua Shen, Yajing Liu, Zhe Xia, Mingwu Zhang:
An efficient aggregation scheme resisting on malicious data mining attacks for smart grid. Inf. Sci. 526: 289-300 (2020) - [j7]Priya L. Donti, Yajing Liu, Andreas Schmitt, Andrey Bernstein, Rui Yang, Yingchen Zhang:
Matrix Completion for Low-Observability Voltage Estimation. IEEE Trans. Smart Grid 11(3): 2520-2530 (2020) - [c9]Yajing Liu, Ahmed S. Zamzam, Andrey Bernstein:
Multi-Area Model-Free State Estimation via Distributed Tensor Decomposition. ACSSC 2020: 191-195 - [c8]Yajing Liu, April Sagan, Andrey Bernstein, Rui Yang, Xinyang Zhou, Yingchen Zhang:
Matrix Completion Using Alternating Minimization for Distribution System State Estimation. SmartGridComm 2020: 1-6 - [i2]Ahmed S. Zamzam, Yajing Liu, Andrey Bernstein:
Model-Free State Estimation Using Low-Rank Canonical Polyadic Decomposition. CoRR abs/2004.05741 (2020)
2010 – 2019
- 2019
- [j6]Yajing Liu, Edwin K. P. Chong, Ali Pezeshki:
Improved bounds for the greedy strategy in optimization problems with curvature. J. Comb. Optim. 37(4): 1126-1149 (2019) - [c7]Yajing Liu, Xinmei Tian, Ya Li, Zhiwei Xiong, Feng Wu:
Compact Feature Learning for Multi-Domain Image Classification. CVPR 2019: 7193-7201 - 2018
- [j5]Yajing Liu, Edwin K. P. Chong, Ali Pezeshki:
Performance bounds for Nash equilibria in submodular utility systems with user groups. J. Control. Decis. 5(1): 1-18 (2018) - [j4]Yajing Liu, Zhenliang Zhang, Edwin K. P. Chong, Ali Pezeshki:
Performance Bounds with Curvature for Batched Greedy Optimization. J. Optim. Theory Appl. 177(2): 535-562 (2018) - [c6]Ya Li, Xinmei Tian, Mingming Gong, Yajing Liu, Tongliang Liu, Kun Zhang, Dacheng Tao:
Deep Domain Generalization via Conditional Invariant Adversarial Networks. ECCV (15) 2018: 647-663 - [c5]Yajing Liu, Edwin K. P. Chong, Ali Pezeshki:
Extending Polymatroid Set Functions With Curvature and Bounding the Greedy Strategy. SSP 2018: 318-322 - 2017
- [j3]Jiming Yao, Yajing Liu:
Design and Implementation of Non-layered 3-Dimensional Orebody Modeling System. J. Softw. 12(1): 35-44 (2017) - 2016
- [j2]Yajing Liu, Jiming Yao, Jing Shi:
Research on Community Grid Management System Based on 3D GIS. J. Softw. 11(10): 1026-1039 (2016) - [c4]Yajing Liu, Zhenliang Zhang, Edwin K. P. Chong, Ali Pezeshki:
Performance bounds for the k-batch greedy strategy in optimization problems with curvature. ACC 2016: 7177-7182 - [i1]Yajing Liu, Edwin K. P. Chong, Ali Pezeshki:
Performance Bounds for Nash Equilibria in Submodular Utility Systems with User Groups. CoRR abs/1603.04893 (2016) - 2015
- [c3]Yajing Liu, Edwin K. P. Chong, Ali Pezeshki:
Bounding the greedy strategy in finite-horizon string optimization. CDC 2015: 3900-3905 - 2014
- [c2]Yajing Liu, Edwin K. P. Chong, Ali Pezeshki, William Moran:
Bounds for approximate dynamic programming based on string optimization and curvature. CDC 2014: 6653-6658 - 2012
- [c1]Yajing Liu, Mei Li:
Orebody Model Compression Research Based on Decimal Morton Code. ICICA (2) 2012: 724-729 - 2011
- [j1]Abhijit A. Gurjarpadhye, William C. Vogt, Yajing Liu, Christopher G. Rylander:
Effect of Localized Mechanical Indentation on Skin Water Content Evaluated Using OCT. Int. J. Biomed. Imaging 2011: 817250:1-817250:8 (2011)
Coauthor Index
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