Zenan Ling - RankMe

42 papers A* 5A 2B 2Misc 1Journal 30Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Consistency Deep Equilibrium Models. CoRR Junchao Lin, Zenan Ling, Jingwen Xu, Robert C. Qiu
2026	J	`jnl`	Diving into Kronecker Adapters: Component Design Matters. CoRR Jiayu Bai, Danchen Yu, Zhenyu Liao, Tianqi Hou, Feng Zhou, Robert C. Qiu, Zenan Ling
2026	J	`jnl`	Implicit Neural Representations for Codebook Configuration in RIS-Aided Communication Systems. IEEE Trans. Cogn. Commun. Netw. Huiying Yang, Jiahe Wang, Zihan Jin, Jiangbo Dong, Rujing Xiong, Robert Caiming Qiu, Zenan Ling
2025	J	`jnl`	A Random Matrix Analysis of In-context Memorization for Nonlinear Attention. CoRR Zhenyu Liao, Jiaqing Liu, Tianqi Hou, Difan Zou, Zenan Ling
2025	J	`jnl`	Adaptive Discretization for Consistency Models. CoRR Jiayu Bai, Zhanbo Feng, Zhijie Deng, Tianqi Hou, Robert C. Qiu, Zenan Ling
2025	A*	`conf`	Fundamental Bias in Inverting Random Sampling Matrices with Application to Sub-sampled Newton. ICML Chengmei Niu, Zhenyu Liao, Zenan Ling, Michael W. Mahoney
2025	J	`jnl`	Fundamental Bias in Inverting Random Sampling Matrices with Application to Sub-sampled Newton. CoRR Chengmei Niu, Zhenyu Liao, Zenan Ling, Michael W. Mahoney
2025	Misc	`conf`	Textual and Visual Prompt Fusion for Image Editing via Step-Wise Alignment. ICASSP Zhanbo Feng, Zenan Ling, Xinyu Lu, Ci Gong, Feng Zhou, Wugedele Bao, Jie Li, Fan Yang, Robert C. Qiu
2024	—	`conf`	Codebook Configuration for RIS-Aided Systems via Implicit Neural Representations. ICC Huiying Yang, Rujing Xiong, Yao Xiao, Zhijie Fan, Tiebin Mi, Robert Caiming Qiu, Zenan Ling
2024	A*	`conf`	Deep Equilibrium Models are Almost Equivalent to Not-so-deep Explicit Models for High-dimensional Gaussian Mixtures. ICML Zenan Ling, Longbo Li, Zhanbo Feng, Yixuan Zhang, Feng Zhou, Robert C. Qiu, Zhenyu Liao
2024	J	`jnl`	Deep Equilibrium Models are Almost Equivalent to Not-so-deep Explicit Models for High-dimensional Gaussian Mixtures. CoRR Zenan Ling, Longbo Li, Zhanbo Feng, Yixuan Zhang, Feng Zhou, Robert C. Qiu, Zhenyu Liao
2024	J	`jnl`	IGNN-Solver: A Graph Neural Solver for Implicit Graph Neural Networks. CoRR Junchao Lin, Zenan Ling, Zhanbo Feng, Feng Zhou, Jingwen Xu, Robert C. Qiu
2024	—	`conf`	Inconsistency of ESPRIT DoA Estimation for Large Arrays and a Correction via RMT. EUSIPCO Wei Yang, Zhengyu Wang, Xiaoyi Mai, Zenan Ling, Robert Caiming Qiu, Zhenyu Liao
2024	A*	`conf`	Mitigating Label Bias in Machine Learning: Fairness through Confident Learning. AAAI Yixuan Zhang, Boyu Li, Zenan Ling, Feng Zhou
2024	A*	`conf`	Nonstationary Sparse Spectral Permanental Process. NeurIPS Zicheng Sun, Yixuan Zhang, Zenan Ling, Xuhui Fan, Feng Zhou
2024	J	`jnl`	Nonstationary Sparse Spectral Permanental Process. CoRR Zicheng Sun, Yixuan Zhang, Zenan Ling, Xuhui Fan, Feng Zhou
2024	B	`conf`	R-NeRF: Neural Radiance Fields for Modeling RIS-enabled Wireless Environments. GLOBECOM Huiying Yang, Zihan Jin, Chenhao Wu, Rujing Xiong, Robert Caiming Qiu, Zenan Ling
2024	J	`jnl`	R-NeRF: Neural Radiance Fields for Modeling RIS-enabled Wireless Environments. CoRR Huiying Yang, Zihan Jin, Chenhao Wu, Rujing Xiong, Robert Caiming Qiu, Zenan Ling
2024	J	`jnl`	Series-to-Series Diffusion Bridge Model. CoRR Hao Yang, Zhanbo Feng, Feng Zhou, Robert C. Qiu, Zenan Ling
2023	J	`jnl`	Codebook Configuration for 1-bit RIS-aided Systems Based on Implicit Neural Representations. CoRR Yao Xiao, Zhijie Fan, Zenan Ling, Rujing Xiong, Tiebin Mi, Robert Caiming Qiu
2023	A	`conf`	Global Convergence of Over-parameterized Deep Equilibrium Models. AISTATS Zenan Ling, Xingyu Xie, Qiuhao Wang, Zongpeng Zhang, Zhouchen Lin
2023	B	`conf`	Gradient Descent Optimizes Normalization-Free ResNets. IJCNN Zongpeng Zhang, Zenan Ling, Tong Lin, Zhouchen Lin
2023	J	`jnl`	Mitigating Label Bias in Machine Learning: Fairness through Confident Learning. CoRR Yixuan Zhang, Boyu Li, Zenan Ling, Feng Zhou
2023	J	`jnl`	On the Equivalence between Implicit and Explicit Neural Networks: A High-dimensional Viewpoint. CoRR Zenan Ling, Zhenyu Liao, Robert C. Qiu
2023	J	`jnl`	Optimization Induced Equilibrium Networks: An Explicit Optimization Perspective for Understanding Equilibrium Models. IEEE Trans. Pattern Anal. Mach. Intell. Xingyu Xie, Qiuhao Wang, Zenan Ling, Xia Li, Guangcan Liu, Zhouchen Lin
2023	A*	`conf`	Revisiting Logistic-softmax Likelihood in Bayesian Meta-Learning for Few-Shot Classification. NeurIPS Tianjun Ke, Haoqun Cao, Zenan Ling, Feng Zhou
2023	J	`jnl`	Revisiting Logistic-softmax Likelihood in Bayesian Meta-Learning for Few-Shot Classification. CoRR Tianjun Ke, Haoqun Cao, Zenan Ling, Feng Zhou
2023	J	`jnl`	Zero-shot Inversion Process for Image Attribute Editing with Diffusion Models. CoRR Zhanbo Feng, Zenan Ling, Ci Gong, Feng Zhou, Jie Li, Robert C. Qiu
2022	A	`conf`	Exploring Image Regions Not Well Encoded by an INN. AISTATS Zenan Ling, Fan Zhou, Meng Wei, Quanshi Zhang
2022	J	`jnl`	Global Convergence of Over-parameterized Deep Equilibrium Models. CoRR Zenan Ling, Xingyu Xie, Qiuhao Wang, Zongpeng Zhang, Zhouchen Lin
2021	J	`jnl`	A New Approach of Exploiting Self-Adjoint Matrix Polynomials of Large Random Matrices for Anomaly Detection and Fault Location. IEEE Trans. Big Data Zenan Ling, Robert C. Qiu, Xing He, Lei Chu
2021	J	`jnl`	Brown Measure Based Spectral Distribution Analysis for Spatial-Temporal Localization of Cascading Events in Power Grids. IEEE Trans. Smart Grid Fan Yang, Mingjie Wei, Zenan Ling, Tiebin Mi, Haosen Yang, Robert C. Qiu
2021	J	`jnl`	Optimization Induced Equilibrium Networks. CoRR Xingyu Xie, Qiuhao Wang, Zenan Ling, Xia Li, Yisen Wang, Guangcan Liu, Zhouchen Lin
2020	J	`jnl`	Spatio-Temporal Correlation Analysis of Online Monitoring Data for Anomaly Detection and Location in Distribution Networks. IEEE Trans. Smart Grid Xin Shi, Robert C. Qiu, Zenan Ling, Fan Yang, Haosen Yang, Xing He
2019	J	`jnl`	Explaining AlphaGo: Interpreting Contextual Effects in Neural Networks. CoRR Zenan Ling, Haotian Ma, Yu Yang, Robert C. Qiu, Song-Chun Zhu, Quanshi Zhang
2019	J	`jnl`	Spectrum Concentration in Deep Residual Learning: A Free Probability Approach. IEEE Access Zenan Ling, Robert C. Qiu
2018	J	`jnl`	A Novel Data-Driven Situation Awareness Approach for Future Grids - Using Large Random Matrices for Big Data Modeling. IEEE Access Xing He, Lei Chu, Robert Caiming Qiu, Qian Ai, Zenan Ling
2018	J	`jnl`	An Accurate and Real-time Self-blast Glass Insulator Location Method Based On Faster R-CNN and U-net with Aerial Images. CoRR Zenan Ling, Robert C. Qiu, Zhijian Jin, Yuhang Zhang, Xing He, Haichun Liu, Lei Chu
2018	J	`jnl`	Massive Streaming PMU Data Modelling and Analytics in Smart Grid State Evaluation based on Multiple High-Dimensional Covariance Test. IEEE Trans. Big Data Lei Chu, Robert C. Qiu, Xing He, Zenan Ling, Yadong Liu
2018	J	`jnl`	Spectrum concentration in deep residual learning: a free probability appproach. CoRR Zenan Ling, Robert C. Qiu
2017	J	`jnl`	Individual Recognition in Schizophrenia using Deep Learning Methods with Random Forest and Voting Classifiers: Insights from Resting State EEG Streams. CoRR Lei Chu, Robert C. Qiu, Haichun Liu, Zenan Ling, Xin Shi
2016	J	`jnl`	Designing for Situation Awareness of Future Power Grids: An Indicator System Based on Linear Eigenvalue Statistics of Large Random Matrices. IEEE Access Xing He, Robert Caiming Qiu, Qian Ai, Lei Chu, Xinyi Xu, Zenan Ling