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Yajing Liu
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2020 – today
- 2024
- [j27]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) - [j26]Yajing Liu, Turgay Caglar, Chris Peterson, Michael Kirby:
Integrating geometries of ReLU feedforward neural networks. Frontiers Big Data 6 (2024) - [j25]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) - [j24]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) - [j23]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) - [j22]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) - [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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last updated on 2024-11-20 21:56 CET by the dblp team
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