Yajing Liu

71 papers A* 7A 1B 3C 1Misc 2Journal 45Unranked 12
YearRankTypeTitle / Venue / Authors
2026 J jnl
A UCB Bandit Algorithm for General ML-Based Estimators.
CoRR
Yajing Liu, Erkao Bao, Linqi Song
2026 J jnl
Unsupervised Domain Adaptive Object Detection via Semantic Consistency and Compactness Learning.
IEEE Trans. Image Process.
Yajing Liu, Zhen Zhang, Yiming Su, Chunhui Hao, Xiyao Liu, Jiandong Tian
2025 J jnl
IDDM: Bridging Synthetic-to-Real Domain Gap from Physics-Guided Diffusion for Real-world Image Dehazing.
CoRR
Shijun Zhou, Yajing Liu, Chunhui Hao, Zhiyuan Liu, Jiandong Tian
2025 — conf
LAVA: Lifetime-Aware VM Allocation with Learned Distributions and Adaptation to Mispredictions.
MLSys
Jianheng Ling, Pratik Worah, Yawen Wang, Yunchuan Kong, Chunlei Wang, Clifford Stein, Diwakar Gupta, Jason Behmer, Logan A. Bush, Prakash Ramanan, Rajesh Kumar, Thomas Chestna, Yajing Liu, Ying Liu, Ye Zhao, Kathryn S. McKinley, Meeyoung Park, Martin Maas
2024 J jnl
An fNIRS representation and fNIRS-scales multimodal fusion method for auxiliary diagnosis of amnestic mild cognitive impairment.
Biomed. Signal Process. Control.
Shiyu Cheng, Pan Shang, Yingwei Zhang, Jianhe Guan, Yiqiang Chen, Zeping Lv, Shuyun Huang, Yajing Liu, Haiqun Xie
2024 J jnl
FPGA-Based Sparse Matrix Multiplication Accelerators: From State-of-the-Art to Future Opportunities.
ACM Trans. Reconfigurable Technol. Syst.
Yajing Liu, Ruiqi Chen, Shuyang Li, Jing Yang, Shun Li, Bruno da Silva
2024 B conf
Focus on your Geometry: Exploiting the Potential of Multi-Frame Stereo Depth Estimation Pre-training for 3D Object Detection.
IJCNN
Zichen Wang, Zhuokun Yao, Jianwei Zhang, Ye Zheng, Zhengyuan Zhang, Shuang Deng, Yajing Liu, Hao Liu
2024 J jnl
Integrating geometries of ReLU feedforward neural networks.
Frontiers Big Data
Yajing Liu, Turgay Caglar, Chris Peterson, Michael Kirby
2024 J jnl
LAVA: Lifetime-Aware VM Allocation with Learned Distributions and Adaptation to Mispredictions.
CoRR
Jianheng Ling, Pratik Worah, Yawen Wang, Yunchuan Kong, Chunlei Wang, Clifford Stein, Diwakar Gupta, Jason Behmer, Logan A. Bush, Prakash Ramanan, Rajesh Kumar, Thomas Chestna, Yajing Liu, Ying Liu, Ye Zhao, Kathryn S. McKinley, Meeyoung Park, Martin Maas
2024 J jnl
Matrix-Completion-Based False Data Injection Attacks Against Machine Learning Detectors.
IEEE Trans. Smart Grid
Bo Liu, Hongyu Wu, Qihui Yang, Hang Zhang, Yajing Liu, Yingchen Zhang
2024 B conf
Neural Multiple Description Image Coding with Semantic Polarization for Lossy Channels.
WCNC
Yajing Liu, Weicheng Zhang, Lingyu Chen, Xuemin Hong, Xianbin Wang
2024 J jnl
Restoration on High Turbidity Water Images Under Near-Field Illumination Using a Light-Field Camera.
IEEE Trans. Computational Imaging
Shijun Zhou, Zhen Zhang, Yajing Liu, Jiandong Tian
2024 A conf
S-LGCN: Software-Hardware Co-Design for Accelerating LightGCN.
DATE
Shun Li, Ruiqi Chen, Enhao Tang, Yajing Liu, Jing Yang, Kun Wang
2024 J jnl
Semantically-Disentangled Progressive Image Compression for Deep Space Communications: Exploring the Ultra-Low Rate Regime.
IEEE J. Sel. Areas Commun.
Weicheng Zhang, Yajing Liu, Lingyu Chen, Jianghong Shi, Xuemin Hong, Xianbin Wang
2024 J jnl
Tensor-Completion-Enabled Stealthy False Data Injection Attacks on IoT-Based Smart Grid.
IEEE Internet Things J.
Bo Liu, Yajing Liu, Hongyu Wu
2024 J jnl
The Methodology for Evaluating the Operating State of SF6 HVCBs Based on IDDA.
Sensors
Tong Bai, Chenhao Sun, Wenqing Feng, Yajing Liu, Huanzhen Zhang, Yujia Wang
2024 A* conf
Unbiased Faster R-CNN for Single-source Domain Generalized Object Detection.
CVPR
Yajing Liu, Shijun Zhou, Xiyao Liu, Chunhui Hao, Baojie Fan, Jiandong Tian
2024 J jnl
Unbiased Faster R-CNN for Single-source Domain Generalized Object Detection.
CoRR
Yajing Liu, Shijun Zhou, Xiyao Liu, Chunhui Hao, Baojie Fan, Jiandong Tian
2023 J jnl
Category-Stitch Learning for Union Domain Generalization.
ACM Trans. Multim. Comput. Commun. Appl.
Yajing Liu, Zhiwei Xiong, Ya Li, Yuning Lu, Xinmei Tian, Zheng-Jun Zha
2023 J jnl
Domain Generalization Via Encoding and Resampling in a Unified Latent Space.
IEEE Trans. Multim.
Yajing Liu, Zhiwei Xiong, Ya Li, Xinmei Tian, Zheng-Jun Zha
2023 — conf
Hamming Similarity and Graph Laplacians for Class Partitioning and Adversarial Image Detection.
CVPR Workshops
Huma Jamil, Yajing Liu, Turgay Caglar, Christina M. Cole, Nathaniel Blanchard, Christopher Peterson, Michael Kirby
2023 J jnl
Hamming Similarity and Graph Laplacians for Class Partitioning and Adversarial Image Detection.
CoRR
Huma Jamil, Yajing Liu, Turgay Caglar, Christina M. Cole, Nathaniel Blanchard, Christopher Peterson, Michael Kirby
2023 A* conf
Hierarchical Prompt Learning for Multi-Task Learning.
CVPR
Yajing Liu, Yuning Lu, Hao Liu, Yaozu An, Zhuoran Xu, Zhuokun Yao, Baofeng Zhang, Zhiwei Xiong, Chenguang Gui
2023 J jnl
Implications for Validation of IMERG Satellite Precipitation in a Complex Mountainous Region.
Remote. Sens.
Luhan Li, Xuelong Chen, Yaoming Ma, Wenqing Zhao, Hongchao Zuo, Yajing Liu, Dianbin Cao, Xin Xu
2023 J jnl
Improving fraud detection via hierarchical attention-based Graph Neural Network.
J. Inf. Secur. Appl.
Yajing Liu, Zhengya Sun, Wensheng Zhang
2023 J jnl
Leveraging linear mapping for model-agnostic adversarial defense.
Frontiers Comput. Sci.
Huma Jamil, Yajing Liu, Nathaniel Blanchard, Michael Kirby, Chris Peterson
2023 J jnl
MashFormer: A Novel Multiscale Aware Hybrid Detector for Remote Sensing Object Detection.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
Keyan Wang, Feiyu Bai, Jiaojiao Li, Yajing Liu, Yunsong Li
2023 J jnl
ReLU Neural Networks, Polyhedral Decompositions, and Persistent Homolog.
CoRR
Yajing Liu, Christina M. Cole, Chris Peterson, Michael Kirby
2023 — conf
ReLU Neural Networks, Polyhedral Decompositions, and Persistent Homology.
TAG-ML
Yajing Liu, Christina M. Cole, Chris Peterson, Michael Kirby
2022 — conf
Deep Fourier-Based Exposure Correction Network with Spatial-Frequency Interaction.
ECCV (19)
Jie Huang, Yajing Liu, Feng Zhao, Keyu Yan, Jinghao Zhang, Yukun Huang, Man Zhou, Zhiwei Xiong
2022 B conf
Dual Graphs of Polyhedral Decompositions for the Detection of Adversarial Attacks.
IEEE Big Data
Huma Jamil, Yajing Liu, Christina M. Cole, Nathaniel Blanchard, Emily J. King, Michael Kirby, Christopher Peterson
2022 J jnl
Dual Graphs of Polyhedral Decompositions for the Detection of Adversarial Attacks.
CoRR
Huma Jamil, Yajing Liu, Christina M. Cole, Nathaniel Blanchard, Emily J. King, Michael Kirby, Christopher Peterson
2022 A* conf
Exposure Normalization and Compensation for Multiple-Exposure Correction.
CVPR
Jie Huang, Yajing Liu, Xueyang Fu, Man Zhou, Yang Wang, Feng Zhao, Zhiwei Xiong
2022 A* conf
Exposure-Consistency Representation Learning for Exposure Correction.
ACM Multimedia
Jie Huang, Man Zhou, Yajing Liu, Mingde Yao, Feng Zhao, Zhiwei Xiong
2022 J jnl
Improving Fraud Detection via Hierarchical Attention-based Graph Neural Network.
CoRR
Yajing Liu, Zhengya Sun, Wensheng Zhang
2022 J jnl
Multi-Area Distribution System State Estimation via Distributed Tensor Completion.
CoRR
Yajing Liu, Ahmed S. Zamzam, Andrey Bernstein
2022 J jnl
Multiarea Distribution System State Estimation via Distributed Tensor Completion.
IEEE Trans. Smart Grid
Yajing Liu, Ahmed S. Zamzam, Andrey Bernstein
2022 A* conf
Prompt Distribution Learning.
CVPR
Yuning Lu, Jianzhuang Liu, Yonggang Zhang, Yajing Liu, Xinmei Tian
2022 J jnl
Prompt Distribution Learning.
CoRR
Yuning Lu, Jianzhuang Liu, Yonggang Zhang, Yajing Liu, Xinmei Tian
2022 — conf
Self-Supervision Can Be a Good Few-Shot Learner.
ECCV (19)
Yuning Lu, Liangjian Wen, Jianzhuang Liu, Yajing Liu, Xinmei Tian
2022 J jnl
Self-Supervision Can Be a Good Few-Shot Learner.
CoRR
Yuning Lu, Liangjian Wen, Jianzhuang Liu, Yajing Liu, Xinmei Tian
2022 A* conf
Source-Free Domain Adaptation for Real-World Image Dehazing.
ACM Multimedia
Hu Yu, Jie Huang, Yajing Liu, Qi Zhu, Man Zhou, Feng Zhao
2022 J jnl
Source-Free Domain Adaptation for Real-world Image Dehazing.
CoRR
Hu Yu, Jie Huang, Yajing Liu, Qi Zhu, Man Zhou, Feng Zhao
2022 J jnl
The influence of users' dark triad on knowledge contribution behavior on social Q&A sites.
Inf. Res.
Lin Wang, Yajing Liu, Wenjun Han, Junping Qiu
2021 J jnl
A General Framework for Bounding Approximate Dynamic Programming Schemes.
IEEE Control. Syst. Lett.
Yajing Liu, Edwin K. P. Chong, Ali Pezeshki, Zhenliang Zhang
2021 — conf
Analyzing the effects of cyberattacks on distribution system state estimation.
ISGT
Govind Saraswat, Rui Yang, Yajing Liu, Yingchen Zhang
2021 J jnl
Decentralized Low-Rank State Estimation for Power Distribution Systems.
IEEE Trans. Smart Grid
April Sagan, Yajing Liu, Andrey Bernstein
2021 J jnl
Model-Free State Estimation Using Low-Rank Canonical Polyadic Decomposition.
IEEE Control. Syst. Lett.
Ahmed S. Zamzam, Yajing Liu, Andrey Bernstein
2021 Misc conf
Phoneme-Based Distribution Regularization for Speech Enhancement.
ICASSP
Yajing Liu, Xiulian Peng, Zhiwei Xiong, Yan Lu
2021 J jnl
Phoneme-based Distribution Regularization for Speech Enhancement.
CoRR
Yajing Liu, Xiulian Peng, Zhiwei Xiong, Yan Lu
2020 J jnl
An efficient aggregation scheme resisting on malicious data mining attacks for smart grid.
Inf. Sci.
Hua Shen, Yajing Liu, Zhe Xia, Mingwu Zhang
2020 — conf
Matrix Completion Using Alternating Minimization for Distribution System State Estimation.
SmartGridComm
Yajing Liu, April Sagan, Andrey Bernstein, Rui Yang, Xinyang Zhou, Yingchen Zhang
2020 J jnl
Matrix Completion for Low-Observability Voltage Estimation.
IEEE Trans. Smart Grid
Priya L. Donti, Yajing Liu, Andreas Schmitt, Andrey Bernstein, Rui Yang, Yingchen Zhang
2020 J jnl
Model-Free State Estimation Using Low-Rank Canonical Polyadic Decomposition.
CoRR
Ahmed S. Zamzam, Yajing Liu, Andrey Bernstein
2020 Misc conf
Multi-Area Model-Free State Estimation via Distributed Tensor Decomposition.
ACSSC
Yajing Liu, Ahmed S. Zamzam, Andrey Bernstein
2020 J jnl
Submodular optimization problems and greedy strategies: A survey.
Discret. Event Dyn. Syst.
Yajing Liu, Edwin K. P. Chong, Ali Pezeshki, Zhenliang Zhang
2020 J jnl
The edge-Wiener index of zigzag nanotubes.
Appl. Math. Comput.
Guangfu Wang, Yajing Liu
2019 A* conf
Compact Feature Learning for Multi-Domain Image Classification.
CVPR
Yajing Liu, Xinmei Tian, Ya Li, Zhiwei Xiong, Feng Wu
2019 J jnl
Improved bounds for the greedy strategy in optimization problems with curvature.
J. Comb. Optim.
Yajing Liu, Edwin K. P. Chong, Ali Pezeshki
2018 — conf
Deep Domain Generalization via Conditional Invariant Adversarial Networks.
ECCV (15)
Ya Li, Xinmei Tian, Mingming Gong, Yajing Liu, Tongliang Liu, Kun Zhang, Dacheng Tao
2018 — conf
Extending Polymatroid Set Functions With Curvature and Bounding the Greedy Strategy.
SSP
Yajing Liu, Edwin K. P. Chong, Ali Pezeshki
2018 J jnl
Performance Bounds with Curvature for Batched Greedy Optimization.
J. Optim. Theory Appl.
Yajing Liu, Zhenliang Zhang, Edwin K. P. Chong, Ali Pezeshki
2018 J jnl
Performance bounds for Nash equilibria in submodular utility systems with user groups.
J. Control. Decis.
Yajing Liu, Edwin K. P. Chong, Ali Pezeshki
2017 J jnl
Design and Implementation of Non-layered 3-Dimensional Orebody Modeling System.
J. Softw.
Jiming Yao, Yajing Liu
2016 J jnl
Performance Bounds for Nash Equilibria in Submodular Utility Systems with User Groups.
CoRR
Yajing Liu, Edwin K. P. Chong, Ali Pezeshki
2016 C conf
Performance bounds for the k-batch greedy strategy in optimization problems with curvature.
ACC
Yajing Liu, Zhenliang Zhang, Edwin K. P. Chong, Ali Pezeshki
2016 J jnl
Research on Community Grid Management System Based on 3D GIS.
J. Softw.
Yajing Liu, Jiming Yao, Jing Shi
2015 — conf
Bounding the greedy strategy in finite-horizon string optimization.
CDC
Yajing Liu, Edwin K. P. Chong, Ali Pezeshki
2014 — conf
Bounds for approximate dynamic programming based on string optimization and curvature.
CDC
Yajing Liu, Edwin K. P. Chong, Ali Pezeshki, William Moran
2012 — conf
Orebody Model Compression Research Based on Decimal Morton Code.
ICICA (2)
Yajing Liu, Mei Li
2011 J jnl
Effect of Localized Mechanical Indentation on Skin Water Content Evaluated Using OCT.
Int. J. Biomed. Imaging
Abhijit A. Gurjarpadhye, William C. Vogt, Yajing Liu, Christopher G. Rylander