Dongmian Zou - RankMe

45 papers A* 3A 4B 1Journal 30Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	Enhancing Node-Level Graph Domain Adaptation by Alleviating Local Dependency. KDD (1) Xinwei Tai, Dongmian Zou, Hongfei Wang
2025	J	`jnl`	Brain-Inspired Perspective on Configurations: Unsupervised Similarity and Early Cognition. CoRR Juntang Wang, Yihan Wang, Hao Wu, Dongmian Zou, Shixin Xu
2025	A	`conf`	Enhancing Fairness in Autoencoders for Node-Level Graph Anomaly Detection. ECAI Shouju Wang, Yuchen Song, Sheng'en Li, Dongmian Zou
2025	J	`jnl`	Enhancing Fairness in Autoencoders for Node-Level Graph Anomaly Detection. CoRR Shouju Wang, Yuchen Song, Sheng'en Li, Dongmian Zou
2025	J	`jnl`	Enhancing Node-Level Graph Domain Adaptation by Alleviating Local Dependency. CoRR Xinwei Tai, Dongmian Zou, Hongfei Wang
2025	A	`conf`	Ensemble Pruning via Graph Neural Networks. CIKM Yuanke Li, Yiyang Liu, Dongmian Zou, Hongfei Wang
2025	J	`jnl`	Geometry-Preserving Encoder/Decoder in Latent Generative Models. CoRR Wonjun Lee, Riley C. W. O'Neill, Dongmian Zou, Jeff Calder, Gilad Lerman
2025	—	`book`	Lecture Notes in Deep Learning - Theoretical Insights into an Artificial Mind Lecture Notes in Deep Learning Shlomo Dubnov, Dongmian Zou
2025	J	`jnl`	Mixing Configurations for Downstream Prediction. CoRR Juntang Wang, Hao Wu, Runkun Guo, Yihan Wang, Dongmian Zou, Shixin Xu
2025	J	`jnl`	Monotone Generative Modeling via a Gromov-Monge Embedding. SIAM J. Math. Data Sci. Wonjun Lee, Yifei Yang, Dongmian Zou, Gilad Lerman
2025	J	`jnl`	Stein Discrepancy for Unsupervised Domain Adaptation. CoRR Anneke von Seeger, Dongmian Zou, Gilad Lerman
2024	J	`jnl`	Autoencoding Hyperbolic Representation for Adversarial Generation. Trans. Mach. Learn. Res. Eric Qu, Dongmian Zou
2024	J	`jnl`	GRAM: An interpretable approach for graph anomaly detection using gradient attention maps. Neural Networks Yifei Yang, Peng Wang, Xiaofan He, Dongmian Zou
2024	J	`jnl`	GRAND: A Graph Neural Network Framework for Improved Diagnosis. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Hongfei Wang, Ziqiang Zhang, Hongcan Xiong, Dongmian Zou, Yu Chen, Hai Jin
2024	J	`jnl`	Graph Neural Network-Based Node Deployment for Throughput Enhancement. IEEE Trans. Neural Networks Learn. Syst. Yifei Yang, Dongmian Zou, Xiaofan He
2024	—	`conf`	Hyperbolic Kernel Convolution: A Generic Framework. LoG Eric Qu, Lige Zhang, Habib Debaya, Yue Wu, Dongmian Zou
2024	—	`conf`	Improving Hyperbolic Representations via Gromov-Wasserstein Regularization. ECCV (82) Yifei Yang, Wonjun Lee, Dongmian Zou, Gilad Lerman
2024	J	`jnl`	Improving Hyperbolic Representations via Gromov-Wasserstein Regularization. CoRR Yifei Yang, Wonjun Lee, Dongmian Zou, Gilad Lerman
2024	A*	`conf`	Improving Robustness of Hyperbolic Neural Networks by Lipschitz Analysis. KDD Yuekang Li, Yidan Mao, Yifei Yang, Dongmian Zou
2024	J	`jnl`	Klein Model for Hyperbolic Neural Networks. CoRR Yidan Mao, Jing Gu, Marcus C. Werner, Dongmian Zou
2024	J	`jnl`	Three Revisits to Node-Level Graph Anomaly Detection: Outliers, Message Passing and Hyperbolic Neural Networks. CoRR Jing Gu, Dongmian Zou
2024	—	`conf`	TopoUT: Enhancing Cell Segmentation Through Efficient Topological Regularization. ISBI Shanru Lin, Temirlan Sabyrbayev, Zhexu Jin, Gaoyang Li, Huansheng Cao, Dongmian Zou
2024	J	`jnl`	Translating Test Responses to Images for Test-termination Prediction via Multiple Machine Learning Strategies. ACM Trans. Design Autom. Electr. Syst. Hongfei Wang, Jingyao Li, Jiayi Wang, Zijun Ping, Hongcan Xiong, Wei Liu, Dongmian Zou
2023	A	`conf`	An Unpooling Layer for Graph Generation. AISTATS Yinglong Guo, Dongmian Zou, Gilad Lerman
2023	A*	`conf`	Enhancing Node-Level Adversarial Defenses by Lipschitz Regularization of Graph Neural Networks. KDD Yaning Jia, Dongmian Zou, Hongfei Wang, Hai Jin
2023	J	`jnl`	Hyperbolic Convolution via Kernel Point Aggregation. CoRR Eric Qu, Dongmian Zou
2023	J	`jnl`	Interpretability-Aware Industrial Anomaly Detection Using Autoencoders. IEEE Access Rui Jiang, Yijia Xue, Dongmian Zou
2023	J	`jnl`	Interpretable Graph Anomaly Detection using Gradient Attention Maps. CoRR Yifei Yang, Peng Wang, Xiaofan He, Dongmian Zou
2023	J	`jnl`	Monotone Generative Modeling via a Gromov-Monge Embedding. CoRR Wonjun Lee, Yifei Yang, Dongmian Zou, Gilad Lerman
2023	A	`conf`	Robust Variational Autoencoding with Wasserstein Penalty for Novelty Detection. AISTATS Chieh-Hsin Lai, Dongmian Zou, Gilad Lerman
2023	—	`conf`	Three Revisits to Node-Level Graph Anomaly Detection: Outliers, Message Passing and Hyperbolic Neural Networks. LoG Jing Gu, Dongmian Zou
2022	J	`jnl`	An Unpooling Layer for Graph Generation. CoRR Yinglong Guo, Dongmian Zou, Gilad Lerman
2022	J	`jnl`	Graph Neural Network Based Node Deployment for Throughput Enhancement. CoRR Yifei Yang, Dongmian Zou, Xiaofan He
2022	J	`jnl`	Hyperbolic Neural Networks for Molecular Generation. CoRR Eric Qu, Dongmian Zou
2020	J	`jnl`	Novelty Detection via Robust Variational Autoencoding. CoRR Chieh-Hsin Lai, Dongmian Zou, Gilad Lerman
2020	J	`jnl`	On Lipschitz Bounds of General Convolutional Neural Networks. IEEE Trans. Inf. Theory Dongmian Zou, Radu V. Balan, Maneesh Singh
2020	A*	`conf`	Robust Subspace Recovery Layer for Unsupervised Anomaly Detection. ICLR Chieh-Hsin Lai, Dongmian Zou, Gilad Lerman
2019	B	`conf`	Encoding robust representation for graph generation. IJCNN Dongmian Zou, Gilad Lerman
2019	J	`jnl`	Robust Subspace Recovery Layer for Unsupervised Anomaly Detection. CoRR Chieh-Hsin Lai, Dongmian Zou, Gilad Lerman
2018	J	`jnl`	Graph Convolutional Neural Networks via Scattering. CoRR Dongmian Zou, Gilad Lerman
2018	J	`jnl`	Graph Generation via Scattering. CoRR Dongmian Zou, Gilad Lerman
2018	J	`jnl`	On Lipschitz Bounds of General Convolutional Neural Networks. CoRR Dongmian Zou, Radu V. Balan, Maneesh Singh
2017	J	`jnl`	Lipschitz Properties for Deep Convolutional Networks. CoRR Radu V. Balan, Maneesh Singh, Dongmian Zou
2017	—	`—`	Nonlinear Analysis of Phase Retrieval and Deep Learning. Dongmian Zou
2014	J	`jnl`	Phase Retrieval using Lipschitz Continuous Maps. CoRR Radu V. Balan, Dongmian Zou