Yajing Liu

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 57

Top Topics

Alternating Minimization

Approximate Dynamic Programming

Top Venues

IEEE Trans. Smart Grid

Publications

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 (2024)
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 (2024)
Shun Li, Ruiqi Chen, Enhao Tang, Yajing Liu, Jing Yang, Kun Wang
S-LGCN: Software-Hardware Co-Design for Accelerating LightGCN. DATE (2024)
Yajing Liu, Weicheng Zhang, Lingyu Chen, Xuemin Hong, Xianbin Wang
Neural Multiple Description Image Coding with Semantic Polarization for Lossy Channels. WCNC (2024)
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) (2024)
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) (2024)
Yajing Liu, Shijun Zhou, Xiyao Liu, Chunhui Hao, Baojie Fan, Jiandong Tian
Unbiased Faster R-CNN for Single-source Domain Generalized Object Detection. CoRR (2024)
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) (2024)
Yajing Liu, Turgay Caglar, Chris Peterson, Michael Kirby
Integrating geometries of ReLU feedforward neural networks. Frontiers Big Data 6 (2024)
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 (2023)
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) (2023)
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 (2023)
Huma Jamil, Yajing Liu, Nathaniel Blanchard, Michael Kirby, Chris Peterson
Leveraging linear mapping for model-agnostic adversarial defense. Frontiers Comput. Sci. 5 (2023)
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)
Yajing Liu, Christina M. Cole, Chris Peterson, Michael Kirby
ReLU Neural Networks, Polyhedral Decompositions, and Persistent Homology. TAG-ML (2023)
Yajing Liu, Zhengya Sun, Wensheng Zhang
Improving fraud detection via hierarchical attention-based Graph Neural Network. J. Inf. Secur. Appl. 72 (2023)
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 (2023)
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)
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) (2023)
Yajing Liu, Christina M. Cole, Chris Peterson, Michael Kirby
ReLU Neural Networks, Polyhedral Decompositions, and Persistent Homolog. CoRR (2023)
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)
Yajing Liu, Ahmed S. Zamzam, Andrey Bernstein
Multi-Area Distribution System State Estimation via Distributed Tensor Completion. CoRR (2022)
Yajing Liu, Zhengya Sun, Wensheng Zhang
Improving Fraud Detection via Hierarchical Attention-based Graph Neural Network. CoRR (2022)
Yuning Lu, Jianzhuang Liu, Yonggang Zhang, Yajing Liu, Xinmei Tian
Prompt Distribution Learning. CVPR (2022)
Yuning Lu, Liangjian Wen, Jianzhuang Liu, Yajing Liu, Xinmei Tian
Self-Supervision Can Be a Good Few-Shot Learner. ECCV (19) (2022)
Hu Yu, Jie Huang, Yajing Liu, Qi Zhu, Man Zhou, Feng Zhao
Source-Free Domain Adaptation for Real-World Image Dehazing. ACM Multimedia (2022)
Yajing Liu, Ahmed S. Zamzam, Andrey Bernstein
Multiarea Distribution System State Estimation via Distributed Tensor Completion. IEEE Trans. Smart Grid 13 (6) (2022)
Jie Huang, Man Zhou, Yajing Liu, Mingde Yao, Feng Zhao, Zhiwei Xiong
Exposure-Consistency Representation Learning for Exposure Correction. ACM Multimedia (2022)
Jie Huang, Yajing Liu, Xueyang Fu, Man Zhou, Yang Wang, Feng Zhao, Zhiwei Xiong
Exposure Normalization and Compensation for Multiple-Exposure Correction. CVPR (2022)
Huma Jamil, Yajing Liu, Christina Cole, Nathaniel Blanchard, Emily J. King, Michael Kirby, Christopher Peterson
Dual Graphs of Polyhedral Decompositions for the Detection of Adversarial Attacks. CoRR (2022)
Hu Yu, Jie Huang, Yajing Liu, Qi Zhu, Man Zhou, Feng Zhao
Source-Free Domain Adaptation for Real-world Image Dehazing. CoRR (2022)
Huma Jamil, Yajing Liu, Christina Cole, Nathaniel Blanchard, Emily J. King, Michael Kirby, Christopher Peterson
Dual Graphs of Polyhedral Decompositions for the Detection of Adversarial Attacks. Big Data (2022)
Yuning Lu, Jianzhuang Liu, Yonggang Zhang, Yajing Liu, Xinmei Tian
Prompt Distribution Learning. CoRR (2022)
Yuning Lu, Liangjian Wen, Jianzhuang Liu, Yajing Liu, Xinmei Tian
Self-Supervision Can Be a Good Few-Shot Learner. CoRR (2022)
Yajing Liu, Xiulian Peng, Zhiwei Xiong, Yan Lu
Phoneme-based Distribution Regularization for Speech Enhancement. CoRR (2021)
Govind Saraswat, Rui Yang, Yajing Liu, Yingchen Zhang
Analyzing the effects of cyberattacks on distribution system state estimation. ISGT (2021)
April Sagan, Yajing Liu, Andrey Bernstein
Decentralized Low-Rank State Estimation for Power Distribution Systems. IEEE Trans. Smart Grid 12 (4) (2021)
Ahmed S. Zamzam, Yajing Liu, Andrey Bernstein
Model-Free State Estimation Using Low-Rank Canonical Polyadic Decomposition. IEEE Control. Syst. Lett. 5 (2) (2021)
Yajing Liu, Xiulian Peng, Zhiwei Xiong, Yan Lu
Phoneme-Based Distribution Regularization for Speech Enhancement. ICASSP (2021)
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) (2021)
Guangfu Wang, Yajing Liu
The edge-Wiener index of zigzag nanotubes. Appl. Math. Comput. 377 (2020)
Hua Shen, Yajing Liu, Zhe Xia, Mingwu Zhang
An efficient aggregation scheme resisting on malicious data mining attacks for smart grid. Inf. Sci. 526 (2020)
Ahmed S. Zamzam, Yajing Liu, Andrey Bernstein
Model-Free State Estimation Using Low-Rank Canonical Polyadic Decomposition. CoRR (2020)
Yajing Liu, Edwin K. P. Chong, Ali Pezeshki, Zhenliang Zhang
Submodular optimization problems and greedy strategies: A survey. Discret. Event Dyn. Syst. 30 (3) (2020)
Yajing Liu, Ahmed S. Zamzam, Andrey Bernstein
Multi-Area Model-Free State Estimation via Distributed Tensor Decomposition. ACSSC (2020)
Yajing Liu, April Sagan, Andrey Bernstein, Rui Yang, Xinyang Zhou, Yingchen Zhang
Matrix Completion Using Alternating Minimization for Distribution System State Estimation. SmartGridComm (2020)
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) (2020)
Yajing Liu, Edwin K. P. Chong, Ali Pezeshki
Improved bounds for the greedy strategy in optimization problems with curvature. J. Comb. Optim. 37 (4) (2019)
Yajing Liu, Xinmei Tian, Ya Li, Zhiwei Xiong, Feng Wu
Compact Feature Learning for Multi-Domain Image Classification. CVPR (2019)
Yajing Liu, Zhenliang Zhang, Edwin K. P. Chong, Ali Pezeshki
Performance Bounds with Curvature for Batched Greedy Optimization. J. Optim. Theory Appl. 177 (2) (2018)
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) (2018)
Yajing Liu, Edwin K. P. Chong, Ali Pezeshki
Extending Polymatroid Set Functions With Curvature and Bounding the Greedy Strategy. SSP (2018)
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)
Jiming Yao, Yajing Liu
Design and Implementation of Non-layered 3-Dimensional Orebody Modeling System. J. Softw. 12 (1) (2017)
Yajing Liu, Edwin K. P. Chong, Ali Pezeshki
Performance Bounds for Nash Equilibria in Submodular Utility Systems with User Groups. CoRR (2016)
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)
Yajing Liu, Jiming Yao, Jing Shi
Research on Community Grid Management System Based on 3D GIS. J. Softw. 11 (10) (2016)
Yajing Liu, Edwin K. P. Chong, Ali Pezeshki
Bounding the greedy strategy in finite-horizon string optimization. CDC (2015)
Yajing Liu, Edwin K. P. Chong, Ali Pezeshki, William Moran
Bounds for approximate dynamic programming based on string optimization and curvature. CDC (2014)
Yajing Liu, Mei Li
Orebody Model Compression Research Based on Decimal Morton Code. ICICA (2) (2012)
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 (2011)