Zenan Ling

According to our database, Zenan Ling authored at least 28 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Series-to-Series Diffusion Bridge Model.

Hao Yang, Zhanbo Feng, Feng Zhou, Robert C. Qiu, Zenan Ling

CoRR, 2024

IGNN-Solver: A Graph Neural Solver for Implicit Graph Neural Networks.

Junchao Lin, Zenan Ling, Zhanbo Feng, Feng Zhou, Jingwen Xu, Robert C. Qiu

CoRR, 2024

Nonstationary Sparse Spectral Permanental Process.

Zicheng Sun, Yixuan Zhang, Zenan Ling, Xuhui Fan, Feng Zhou

CoRR, 2024

R-NeRF: Neural Radiance Fields for Modeling RIS-enabled Wireless Environments.

Huiying Yang, Zihan Jin, Chenhao Wu, Rujing Xiong, Robert Caiming Qiu, Zenan Ling

CoRR, 2024

Deep Equilibrium Models are Almost Equivalent to Not-so-deep Explicit Models for High-dimensional Gaussian Mixtures.

Zenan Ling, Longbo Li, Zhanbo Feng, Yixuan Zhang, Feng Zhou, Robert C. Qiu, Zhenyu Liao

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Codebook Configuration for RIS-Aided Systems via Implicit Neural Representations.

Huiying Yang, Rujing Xiong, Yao Xiao, Zhijie Fan, Tiebin Mi, Robert Caiming Qiu, Zenan Ling

Proceedings of the IEEE International Conference on Communications, 2024

Inconsistency of ESPRIT DoA Estimation for Large Arrays and a Correction via RMT.

Wei Yang, Zhengyu Wang, Xiaoyi Mai, Zenan Ling, Robert Caiming Qiu, Zhenyu Liao

Proceedings of the 32nd European Signal Processing Conference, 2024

Mitigating Label Bias in Machine Learning: Fairness through Confident Learning.

Yixuan Zhang, Boyu Li, Zenan Ling, Feng Zhou

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Optimization Induced Equilibrium Networks: An Explicit Optimization Perspective for Understanding Equilibrium Models.

Xingyu Xie, Qiuhao Wang, Zenan Ling, Xia Li, Guangcan Liu, Zhouchen Lin

IEEE Trans. Pattern Anal. Mach. Intell., March, 2023

On the Equivalence between Implicit and Explicit Neural Networks: A High-dimensional Viewpoint.

Zenan Ling, Zhenyu Liao, Robert C. Qiu

CoRR, 2023

Zero-shot Inversion Process for Image Attribute Editing with Diffusion Models.

Zhanbo Feng, Zenan Ling, Ci Gong, Feng Zhou, Jie Li, Robert C. Qiu

CoRR, 2023

Codebook Configuration for 1-bit RIS-aided Systems Based on Implicit Neural Representations.

Yao Xiao, Zhijie Fan, Zenan Ling, Rujing Xiong, Tiebin Mi, Robert Caiming Qiu

CoRR, 2023

Revisiting Logistic-softmax Likelihood in Bayesian Meta-Learning for Few-Shot Classification.

Tianjun Ke, Haoqun Cao, Zenan Ling, Feng Zhou

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Gradient Descent Optimizes Normalization-Free ResNets.

Zongpeng Zhang, Zenan Ling, Tong Lin, Zhouchen Lin

Proceedings of the International Joint Conference on Neural Networks, 2023

Global Convergence of Over-parameterized Deep Equilibrium Models.

Zenan Ling, Xingyu Xie, Qiuhao Wang, Zongpeng Zhang, Zhouchen Lin

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

Exploring Image Regions Not Well Encoded by an INN.

Zenan Ling, Fan Zhou, Meng Wei, Quanshi Zhang

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

Brown Measure Based Spectral Distribution Analysis for Spatial-Temporal Localization of Cascading Events in Power Grids.

Fan Yang, Mingjie Wei, Zenan Ling, Tiebin Mi, Haosen Yang, Robert C. Qiu

IEEE Trans. Smart Grid, 2021

A New Approach of Exploiting Self-Adjoint Matrix Polynomials of Large Random Matrices for Anomaly Detection and Fault Location.

Zenan Ling, Robert C. Qiu, Xing He, Lei Chu

IEEE Trans. Big Data, 2021

Optimization Induced Equilibrium Networks.

Xingyu Xie, Qiuhao Wang, Zenan Ling, Xia Li, Yisen Wang, Guangcan Liu, Zhouchen Lin

CoRR, 2021

2020

Spatio-Temporal Correlation Analysis of Online Monitoring Data for Anomaly Detection and Location in Distribution Networks.

Xin Shi, Robert C. Qiu, Zenan Ling, Fan Yang, Haosen Yang, Xing He

IEEE Trans. Smart Grid, 2020

2019

Explaining AlphaGo: Interpreting Contextual Effects in Neural Networks.

Zenan Ling, Haotian Ma, Yu Yang, Robert C. Qiu, Song-Chun Zhu, Quanshi Zhang

CoRR, 2019

Spectrum Concentration in Deep Residual Learning: A Free Probability Approach.

Zenan Ling, Robert C. Qiu

IEEE Access, 2019

2018

Massive Streaming PMU Data Modelling and Analytics in Smart Grid State Evaluation based on Multiple High-Dimensional Covariance Test.

Lei Chu, Robert C. Qiu, Xing He, Zenan Ling, Yadong Liu

IEEE Trans. Big Data, 2018

Spectrum concentration in deep residual learning: a free probability appproach.

Zenan Ling, Robert C. Qiu

CoRR, 2018

An Accurate and Real-time Self-blast Glass Insulator Location Method Based On Faster R-CNN and U-net with Aerial Images.

Zenan Ling, Robert C. Qiu, Zhijian Jin, Yuhang Zhang, Xing He, Haichun Liu, Lei Chu

CoRR, 2018

A Novel Data-Driven Situation Awareness Approach for Future Grids - Using Large Random Matrices for Big Data Modeling.

Xing He, Lei Chu, Robert Caiming Qiu, Qian Ai, Zenan Ling

IEEE Access, 2018

2017

Individual Recognition in Schizophrenia using Deep Learning Methods with Random Forest and Voting Classifiers: Insights from Resting State EEG Streams.

Lei Chu, Robert C. Qiu, Haichun Liu, Zenan Ling, Xin Shi

CoRR, 2017

2016

Designing for Situation Awareness of Future Power Grids: An Indicator System Based on Linear Eigenvalue Statistics of Large Random Matrices.

Xing He, Robert Caiming Qiu, Qian Ai, Lei Chu, Xinyi Xu, Zenan Ling

IEEE Access, 2016