Effect of Localized Mechanical Indentation on Skin Water Content Evaluated Using OCT. - Abhijit A. Gurjarpadhye; William C. Vogt; Yajing Liu; Christopher G. Rylander (Int. J. Biomed. Imaging, 2011)

Orebody Model Compression Research Based on Decimal Morton Code. - Yajing Liu; Mei Li (ICICA (2), 2012)

Bounds for approximate dynamic programming based on string optimization and curvature. - Yajing Liu; Edwin K. P. Chong; Ali Pezeshki; William Moran 001 (CDC, 2014)

Bounding the greedy strategy in finite-horizon string optimization. - Yajing Liu; Edwin K. P. Chong; Ali Pezeshki (CDC, 2015)

Performance bounds for the k-batch greedy strategy in optimization problems with curvature. - Yajing Liu; Zhenliang Zhang 001; Edwin K. P. Chong; Ali Pezeshki (ACC, 2016)

Research on Community Grid Management System Based on 3D GIS. - Yajing Liu; Jiming Yao; Jing Shi (J. Softw., 2016)

Design and Implementation of Non-layered 3-Dimensional Orebody Modeling System. - Jiming Yao; Yajing Liu (J. Softw., 2017)

Deep Domain Generalization via Conditional Invariant Adversarial Networks. - Ya Li; Xinmei Tian 001; Mingming Gong; Yajing Liu; Tongliang Liu; Kun Zhang 001; Dacheng Tao (ECCV (15), 2018)

Extending Polymatroid Set Functions With Curvature and Bounding the Greedy Strategy. - Yajing Liu; Edwin K. P. Chong; Ali Pezeshki (SSP, 2018)

Performance bounds for Nash equilibria in submodular utility systems with user groups. - Yajing Liu; Edwin K. P. Chong; Ali Pezeshki (J. Control. Decis., 2018)

Performance Bounds with Curvature for Batched Greedy Optimization. - Yajing Liu; Zhenliang Zhang 001; Edwin K. P. Chong; Ali Pezeshki (J. Optim. Theory Appl., 2018)

Compact Feature Learning for Multi-Domain Image Classification. - Yajing Liu; Xinmei Tian 001; Ya Li; Zhiwei Xiong; Feng Wu 001 (CVPR, 2019)

Improved bounds for the greedy strategy in optimization problems with curvature. - Yajing Liu; Edwin K. P. Chong; Ali Pezeshki (J. Comb. Optim., 2019)

Multi-Area Model-Free State Estimation via Distributed Tensor Decomposition. - Yajing Liu; Ahmed S. Zamzam; Andrey Bernstein (ACSSC, 2020)

Matrix Completion Using Alternating Minimization for Distribution System State Estimation. - Yajing Liu; April Sagan; Andrey Bernstein; Rui Yang 015; Xinyang Zhou; Yingchen Zhang (SmartGridComm, 2020)

The edge-Wiener index of zigzag nanotubes. - Guangfu Wang; Yajing Liu (Appl. Math. Comput., 2020)

Submodular optimization problems and greedy strategies: A survey. - Yajing Liu; Edwin K. P. Chong; Ali Pezeshki; Zhenliang Zhang 001 (Discret. Event Dyn. Syst., 2020)

An efficient aggregation scheme resisting on malicious data mining attacks for smart grid. - Hua Shen 002; Yajing Liu; Zhe Xia; Mingwu Zhang (Inf. Sci., 2020)

Matrix Completion for Low-Observability Voltage Estimation. - Priya L. Donti; Yajing Liu; Andreas Schmitt; Andrey Bernstein; Rui Yang 015; Yingchen Zhang (IEEE Trans. Smart Grid, 2020)

Phoneme-Based Distribution Regularization for Speech Enhancement. - Yajing Liu; Xiulian Peng; Zhiwei Xiong; Yan Lu 001 (ICASSP, 2021)

Analyzing the effects of cyberattacks on distribution system state estimation. - Govind Saraswat; Rui Yang 015; Yajing Liu; Yingchen Zhang (ISGT, 2021)

A General Framework for Bounding Approximate Dynamic Programming Schemes. - Yajing Liu; Edwin K. P. Chong; Ali Pezeshki; Zhenliang Zhang 001 (IEEE Control. Syst. Lett., 2021)

Model-Free State Estimation Using Low-Rank Canonical Polyadic Decomposition. - Ahmed S. Zamzam; Yajing Liu; Andrey Bernstein (IEEE Control. Syst. Lett., 2021)

Decentralized Low-Rank State Estimation for Power Distribution Systems. - April Sagan; Yajing Liu; Andrey Bernstein (IEEE Trans. Smart Grid, 2021)

Dual Graphs of Polyhedral Decompositions for the Detection of Adversarial Attacks. - Huma Jamil; Yajing Liu; Christina M. Cole; Nathaniel Blanchard; Emily J. King; Michael Kirby; Christopher Peterson 001 (IEEE Big Data, 2022)

Exposure Normalization and Compensation for Multiple-Exposure Correction. - Jie Huang 017; Yajing Liu; Xueyang Fu; Man Zhou; Yang Wang 015; Feng Zhao 004; Zhiwei Xiong (CVPR, 2022)

Prompt Distribution Learning. - Yuning Lu; Jianzhuang Liu; Yonggang Zhang 003; Yajing Liu; Xinmei Tian 001 (CVPR, 2022)

Deep Fourier-Based Exposure Correction Network with Spatial-Frequency Interaction. - Jie Huang 017; Yajing Liu; Feng Zhao 004; Keyu Yan; Jinghao Zhang; Yukun Huang; Man Zhou; Zhiwei Xiong (ECCV (19), 2022)

Self-Supervision Can Be a Good Few-Shot Learner. - Yuning Lu; Liangjian Wen; Jianzhuang Liu; Yajing Liu; Xinmei Tian 001 (ECCV (19), 2022)

Exposure-Consistency Representation Learning for Exposure Correction. - Jie Huang 017; Man Zhou; Yajing Liu; Mingde Yao; Feng Zhao 004; Zhiwei Xiong (ACM Multimedia, 2022)

Source-Free Domain Adaptation for Real-World Image Dehazing. - Hu Yu 001; Jie Huang 017; Yajing Liu; Qi Zhu 010; Man Zhou; Feng Zhao 004 (ACM Multimedia, 2022)

Multi-Area Distribution System State Estimation via Distributed Tensor Completion. - Yajing Liu; Ahmed S. Zamzam; Andrey Bernstein (CoRR, 2022)

Multiarea Distribution System State Estimation via Distributed Tensor Completion. - Yajing Liu; Ahmed S. Zamzam; Andrey Bernstein (IEEE Trans. Smart Grid, 2022)

Hamming Similarity and Graph Laplacians for Class Partitioning and Adversarial Image Detection. - Huma Jamil; Yajing Liu; Turgay Caglar; Christina M. Cole; Nathaniel Blanchard; Christopher Peterson 001; Michael Kirby (CVPR Workshops, 2023)

Hierarchical Prompt Learning for Multi-Task Learning. - Yajing Liu; Yuning Lu; Hao Liu; Yaozu An; Zhuoran Xu; Zhuokun Yao; Baofeng Zhang; Zhiwei Xiong; Chenguang Gui (CVPR, 2023)

ReLU Neural Networks, Polyhedral Decompositions, and Persistent Homology. - Yajing Liu; Christina M. Cole; Chris Peterson 001; Michael Kirby (TAG-ML, 2023)

ReLU Neural Networks, Polyhedral Decompositions, and Persistent Homolog. - Yajing Liu; Christina M. Cole; Chris Peterson 001; Michael Kirby (CoRR, 2023)

Leveraging linear mapping for model-agnostic adversarial defense. - Huma Jamil; Yajing Liu; Nathaniel Blanchard; Michael Kirby; Chris Peterson 001 (Frontiers Comput. Sci., 2023)

Improving fraud detection via hierarchical attention-based Graph Neural Network. - Yajing Liu; Zhengya Sun; Wensheng Zhang 002 (J. Inf. Secur. Appl., 2023)

MashFormer: A Novel Multiscale Aware Hybrid Detector for Remote Sensing Object Detection. - Keyan Wang; Feiyu Bai; Jiaojiao Li 001; Yajing Liu; Yunsong Li 001 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023)

Domain Generalization Via Encoding and Resampling in a Unified Latent Space. - Yajing Liu; Zhiwei Xiong; Ya Li; Xinmei Tian 001; Zheng-Jun Zha (IEEE Trans. Multim., 2023)

Category-Stitch Learning for Union Domain Generalization. - Yajing Liu; Zhiwei Xiong; Ya Li; Yuning Lu; Xinmei Tian 001; Zheng-Jun Zha (ACM Trans. Multim. Comput. Commun. Appl., 2023)

Implications for Validation of IMERG Satellite Precipitation in a Complex Mountainous Region. - Luhan Li; Xuelong Chen; Yaoming Ma; Wenqing Zhao; Hongchao Zuo; Yajing Liu; Dianbin Cao; Xin Xu (Remote. Sens., 2023)

Unbiased Faster R-CNN for Single-source Domain Generalized Object Detection. - Yajing Liu; Shijun Zhou; Xiyao Liu 002; Chunhui Hao; Baojie Fan; Jiandong Tian (CVPR, 2024)

S-LGCN: Software-Hardware Co-Design for Accelerating LightGCN. - Shun Li; Ruiqi Chen 001; Enhao Tang; Yajing Liu; Jing Yang; Kun Wang 005 (DATE, 2024)

Focus on your Geometry: Exploiting the Potential of Multi-Frame Stereo Depth Estimation Pre-training for 3D Object Detection. - Zichen Wang; Zhuokun Yao; Jianwei Zhang; Ye Zheng; Zhengyuan Zhang; Shuang Deng; Yajing Liu; Hao Liu (IJCNN, 2024)

Neural Multiple Description Image Coding with Semantic Polarization for Lossy Channels. - Yajing Liu; Weicheng Zhang; Lingyu Chen; Xuemin Hong; Xianbin Wang 001 (WCNC, 2024)

An fNIRS representation and fNIRS-scales multimodal fusion method for auxiliary diagnosis of amnestic mild cognitive impairment. - Shiyu Cheng; Pan Shang; Yingwei Zhang 002; Jianhe Guan; Yiqiang Chen 001; Zeping Lv; Shuyun Huang; Yajing Liu; Haiqun Xie (Biomed. Signal Process. Control., 2024)

LAVA: Lifetime-Aware VM Allocation with Learned Distributions and Adaptation to Mispredictions. - Jianheng Ling; Pratik Worah; Yawen Wang; Yunchuan Kong; Chunlei Wang; Clifford Stein 003; Diwakar Gupta; Jason Behmer; Logan A. Bush; Prakash Ramanan; Rajesh Kumar; Thomas Chestna; et al. (CoRR, 2024)

Integrating geometries of ReLU feedforward neural networks. - Yajing Liu; Turgay Caglar; Chris Peterson 001; Michael Kirby (Frontiers Big Data, 2024)

Restoration on High Turbidity Water Images Under Near-Field Illumination Using a Light-Field Camera. - Shijun Zhou; Zhen Zhang; Yajing Liu; Jiandong Tian (IEEE Trans. Computational Imaging, 2024)

Matrix-Completion-Based False Data Injection Attacks Against Machine Learning Detectors. - Bo Liu 040; Hongyu Wu; Qihui Yang; Hang Zhang 020; Yajing Liu; Yingchen Zhang (IEEE Trans. Smart Grid, 2024)

The Methodology for Evaluating the Operating State of SF6 HVCBs Based on IDDA. - Tong Bai; Chenhao Sun; Wenqing Feng; Yajing Liu; Huanzhen Zhang; Yujia Wang (Sensors, 2024)

Semantically-Disentangled Progressive Image Compression for Deep Space Communications: Exploring the Ultra-Low Rate Regime. - Weicheng Zhang; Yajing Liu; Lingyu Chen; Jianghong Shi; Xuemin Hong; Xianbin Wang 001 (IEEE J. Sel. Areas Commun., 2024)

Tensor-Completion-Enabled Stealthy False Data Injection Attacks on IoT-Based Smart Grid. - Bo Liu 040; Yajing Liu; Hongyu Wu (IEEE Internet Things J., 2024)

FPGA-Based Sparse Matrix Multiplication Accelerators: From State-of-the-Art to Future Opportunities. - Yajing Liu; Ruiqi Chen 001; Shuyang Li; Jing Yang; Shun Li; Bruno da Silva 001 (ACM Trans. Reconfigurable Technol. Syst., 2024)

IDDM: Bridging Synthetic-to-Real Domain Gap from Physics-Guided Diffusion for Real-world Image Dehazing. - Shijun Zhou; Yajing Liu; Chunhui Hao; Zhiyuan Liu; Jiandong Tian (CoRR, 2025)