Zenan Ling

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 26

Top Topics

Anomaly Detection

Situation Aware

Top Venues

IEEE Trans. Smart Grid

Publications

Yixuan Zhang, Boyu Li, Zenan Ling, Feng Zhou
Mitigating Label Bias in Machine Learning: Fairness through Confident Learning. AAAI (2024)
Zenan Ling, Longbo Li, Zhanbo Feng, Yixuan Zhang, Feng Zhou, Robert C. Qiu, Zhenyu Liao
Deep Equilibrium Models are Almost Equivalent to Not-so-deep Explicit Models for High-dimensional Gaussian Mixtures. CoRR (2024)
Huiying Yang, Zihan Jin, Chenhao Wu, Rujing Xiong, Robert Caiming Qiu, Zenan Ling
R-NeRF: Neural Radiance Fields for Modeling RIS-enabled Wireless Environments. CoRR (2024)
Yixuan Zhang, Boyu Li, Zenan Ling, Feng Zhou
Mitigating Label Bias in Machine Learning: Fairness through Confident Learning. CoRR (2023)
Xingyu Xie, Qiuhao Wang, Zenan Ling, Xia Li, Guangcan Liu, Zhouchen Lin
Optimization Induced Equilibrium Networks: An Explicit Optimization Perspective for Understanding Equilibrium Models. IEEE Trans. Pattern Anal. Mach. Intell. 45 (3) (2023)
Zongpeng Zhang, Zenan Ling, Tong Lin, Zhouchen Lin
Gradient Descent Optimizes Normalization-Free ResNets. IJCNN (2023)
Tianjun Ke, Haoqun Cao, Zenan Ling, Feng Zhou
Revisiting Logistic-softmax Likelihood in Bayesian Meta-Learning for Few-Shot Classification. NeurIPS (2023)
Tianjun Ke, Haoqun Cao, Zenan Ling, Feng Zhou
Revisiting Logistic-softmax Likelihood in Bayesian Meta-Learning for Few-Shot Classification. CoRR (2023)
Zhanbo Feng, Zenan Ling, Ci Gong, Feng Zhou, Jie Li, Robert C. Qiu
Zero-shot Inversion Process for Image Attribute Editing with Diffusion Models. CoRR (2023)
Zenan Ling, Zhenyu Liao, Robert C. Qiu
On the Equivalence between Implicit and Explicit Neural Networks: A High-dimensional Viewpoint. CoRR (2023)
Zenan Ling, Xingyu Xie, Qiuhao Wang, Zongpeng Zhang, Zhouchen Lin
Global Convergence of Over-parameterized Deep Equilibrium Models. AISTATS (2023)
Yao Xiao, Zhijie Fan, Zenan Ling, Rujing Xiong, Tiebin Mi, Robert Caiming Qiu
Codebook Configuration for 1-bit RIS-aided Systems Based on Implicit Neural Representations. CoRR (2023)
Zenan Ling, Xingyu Xie, Qiuhao Wang, Zongpeng Zhang, Zhouchen Lin
Global Convergence of Over-parameterized Deep Equilibrium Models. CoRR (2022)
Zenan Ling, Fan Zhou, Meng Wei, Quanshi Zhang
Exploring Image Regions Not Well Encoded by an INN. AISTATS (2022)
Fan Yang, Mingjie Wei, Zenan Ling, Tiebin Mi, Haosen Yang, Robert C. Qiu
Brown Measure Based Spectral Distribution Analysis for Spatial-Temporal Localization of Cascading Events in Power Grids. IEEE Trans. Smart Grid 12 (2) (2021)
Zenan Ling, Robert C. Qiu, Xing He, Lei Chu
A New Approach of Exploiting Self-Adjoint Matrix Polynomials of Large Random Matrices for Anomaly Detection and Fault Location. IEEE Trans. Big Data 7 (3) (2021)
Xingyu Xie, Qiuhao Wang, Zenan Ling, Xia Li, Yisen Wang, Guangcan Liu, Zhouchen Lin
Optimization Induced Equilibrium Networks. CoRR (2021)
Xin Shi, Robert C. Qiu, Zenan Ling, Fan Yang, Haosen Yang, Xing He
Spatio-Temporal Correlation Analysis of Online Monitoring Data for Anomaly Detection and Location in Distribution Networks. IEEE Trans. Smart Grid 11 (2) (2020)
Zenan Ling, Robert C. Qiu
Spectrum Concentration in Deep Residual Learning: A Free Probability Approach. IEEE Access 7 (2019)
Zenan Ling, Haotian Ma, Yu Yang, Robert C. Qiu, Song-Chun Zhu, Quanshi Zhang
Explaining AlphaGo: Interpreting Contextual Effects in Neural Networks. CoRR (2019)
Zenan Ling, Robert C. Qiu, Zhijian Jin, Yuhang Zhang, Xing He, Haichun Liu, Lei Chu
An Accurate and Real-time Self-blast Glass Insulator Location Method Based On Faster R-CNN and U-net with Aerial Images. CoRR (2018)
Zenan Ling, Robert C. Qiu
Spectrum concentration in deep residual learning: a free probability appproach. CoRR (2018)
Xing He, Lei Chu, Robert Caiming Qiu, Qian Ai, Zenan Ling
A Novel Data-Driven Situation Awareness Approach for Future Grids - Using Large Random Matrices for Big Data Modeling. IEEE Access 6 (2018)
Lei Chu, Robert C. Qiu, Xing He, Zenan Ling, Yadong Liu
Massive Streaming PMU Data Modelling and Analytics in Smart Grid State Evaluation based on Multiple High-Dimensional Covariance Test. IEEE Trans. Big Data 4 (1) (2018)
Lei Chu, Robert C. Qiu, Haichun Liu, Zenan Ling, Xin Shi
Individual Recognition in Schizophrenia using Deep Learning Methods with Random Forest and Voting Classifiers: Insights from Resting State EEG Streams. CoRR (2017)
Xing He, Robert Caiming Qiu, Qian Ai, Lei Chu, Xinyi Xu, Zenan Ling
Designing for Situation Awareness of Future Power Grids: An Indicator System Based on Linear Eigenvalue Statistics of Large Random Matrices. IEEE Access 4 (2016)