Mark Coates - RankMe

237 papers A* 33A 19B 4C 8Misc 25Journal 118Unranked 29

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Balanced Neuro-Symbolic Approach for Commonsense Abductive Logic. CoRR Joseph Cotnareanu, Didier Chételat, Yingxue Zhang, Mark Coates
2026	J	`jnl`	Extracting and Following Paths for Robust Relational Reasoning with Large Language Models. Trans. Mach. Learn. Res. Ge Zhang, Mohammad Ali Alomrani, Hongjian Gu, Jiaming Zhou, Yaochen Hu, Bin Wang, Qun Liu, Mark Coates, Yingxue Zhang, Jianye Hao
2026	J	`jnl`	H-WM: Robotic Task and Motion Planning Guided by Hierarchical World Model. CoRR Wenyuan Chen, Jinbang Huang, Oscar Pang, Zhiyuan Li, Xiao Hu, Lingfeng Zhang, Zhanguang Zhang, Mark Coates, Tongtong Cao, Xingyue Quan, Yingxue Zhang
2025	J	`jnl`	C3PO: Optimized Large Language Model Cascades with Probabilistic Cost Constraints for Reasoning. CoRR Antonios Valkanas, Soumyasundar Pal, Pavel Rumiantsev, Yingxue Zhang, Mark Coates
2025	J	`jnl`	Communication Efficient, Differentially Private Distributed Optimization using Correlation-Aware Sketching. CoRR Julien Nicolas, Mohamed Maouche, Sonia Ben Mokhtar, Mark Coates
2025	J	`jnl`	E-CARE: An Efficient LLM-based Commonsense-Augmented Framework for E-Commerce. CoRR Ge Zhang, Rohan Deepak Ajwani, Tony Zheng, Hongjian Gu, Yaochen Hu, Wei Guo, Mark Coates, Yingxue Zhang
2025	J	`jnl`	FEval-TTC: Fair Evaluation Protocol for Test-Time Compute. CoRR Pavel Rumiantsev, Soumyasundar Pal, Yingxue Zhang, Mark Coates
2025	J	`jnl`	GraphPPD: Posterior Predictive Modelling for Graph-Level Inference. CoRR Soumyasundar Pal, Liheng Ma, Amine Natik, Yingxue Zhang, Mark Coates
2025	J	`jnl`	Half Search Space is All You Need. CoRR Pavel Rumiantsev, Mark Coates
2025	A	`conf`	InnerThoughts: Disentangling Representations and Predictions in Large Language Models. AISTATS Didier Chételat, Joseph Cotnareanu, Rylee Thompson, Yingxue Zhang, Mark Coates
2025	J	`jnl`	InnerThoughts: Disentangling Representations and Predictions in Large Language Models. CoRR Didier Chételat, Joseph Cotnareanu, Rylee Thompson, Yingxue Zhang, Mark Coates
2025	J	`jnl`	InvertiTune: High-Quality Data Synthesis for Cost-Effective Single-Shot Text-to-Knowledge Graph Generation. CoRR Faezeh Faez, Marzieh S. Tahaei, Yaochen Hu, Ali Pourranjbar, Mahdi Biparva, Mark Coates, Yingxue Zhang
2025	J	`jnl`	It Takes Two: Your GRPO Is Secretly DPO. CoRR Yihong Wu, Liheng Ma, Lei Ding, Muzhi Li, Xinyu Wang, Kejia Chen, Zhan Su, Zhanguang Zhang, Chenyang Huang, Yingxue Zhang, Mark Coates, Jian-Yun Nie
2025	A	`conf`	MODL: Multilearner Online Deep Learning. AISTATS Antonios Valkanas, Boris N. Oreshkin, Mark Coates
2025	J	`jnl`	Omni-Thinker: Scaling Cross-Domain Generalization in LLMs via Multi-Task RL with Hybrid Rewards. CoRR Derek Li, Jiaming Zhou, Amirreza Kazemi, Qianyi Sun, Abbas Ghaddar, Mohammad Ali Alomrani, Liheng Ma, Yu Luo, Dong Li, Feng Wen, Jianye Hao, Mark Coates, Yingxue Zhang
2025	J	`jnl`	One Demo Is All It Takes: Planning Domain Derivation with LLMs from A Single Demonstration. CoRR Jinbang Huang, Yixin Xiao, Zhanguang Zhang, Mark Coates, Jianye Hao, Yingxue Zhang
2025	J	`jnl`	Personalized Negative Reservoir for Incremental Learning in Recommender Systems. Trans. Mach. Learn. Res. Antonios Valkanas, Yuening Wang, Yingxue Zhang, Mark Coates
2025	A	`conf`	PriviRec: Confidential and Decentralized Graph Filtering for Recommender Systems. CIKM Julien Nicolas, César Sabater, Mohamed Maouche, Mark Coates, Sonia Ben Mokhtar
2025	J	`jnl`	Reasoning on a Budget: A Survey of Adaptive and Controllable Test-Time Compute in LLMs. CoRR Mohammad Ali Alomrani, Yingxue Zhang, Derek Li, Qianyi Sun, Soumyasundar Pal, Zhanguang Zhang, Yaochen Hu, Rohan Deepak Ajwani, Antonios Valkanas, Raika Karimi, Peng Cheng, Yunzhou Wang, Pengyi Liao, Hanrui Huang, Bin Wang, Jianye Hao, Mark Coates
2025	A*	`conf`	SKOLR: Structured Koopman Operator Linear RNN for Time-Series Forecasting. ICML Yitian Zhang, Liheng Ma, Antonios Valkanas, Boris N. Oreshkin, Mark Coates
2025	J	`jnl`	SKOLR: Structured Koopman Operator Linear RNN for Time-Series Forecasting. CoRR Yitian Zhang, Liheng Ma, Antonios Valkanas, Boris N. Oreshkin, Mark Coates
2025	J	`jnl`	Secure Federated Graph-Filtering for Recommender Systems. CoRR Julien Nicolas, César Sabater, Mohamed Maouche, Sonia Ben Mokhtar, Mark Coates
2025	J	`jnl`	Simplifying Graph Transformers. CoRR Liheng Ma, Soumyasundar Pal, Yingxue Zhang, Philip H. S. Torr, Mark Coates
2025	J	`jnl`	Sparse Decomposition of Graph Neural Networks. Trans. Mach. Learn. Res. Yaochen Hu, Mai Zeng, Ge Zhang, Pavel Rumiantsev, Liheng Ma, Yingxue Zhang, Mark Coates
2025	J	`jnl`	Variation Matters: from Mitigating to Embracing Zero-Shot NAS Ranking Function Variation. CoRR Pavel Rumiantsev, Mark Coates
2025	J	`jnl`	Variation Matters: from Mitigating to Embracing Zero-Shot NAS Ranking Function Variation. Trans. Mach. Learn. Res. Pavel Rumiantsev, Mark Coates
2025	A*	`conf`	When to retrain a machine learning model. ICML Florence Regol, Leo Schwinn, Kyle Sprague, Mark Coates, Thomas Markovich
2025	J	`jnl`	When to retrain a machine learning model. CoRR Florence Regol, Leo Schwinn, Kyle Sprague, Mark Coates, Thomas Markovich
2024	A*	`conf`	CKGConv: General Graph Convolution with Continuous Kernels. ICML Liheng Ma, Soumyasundar Pal, Yitian Zhang, Jiaming Zhou, Yingxue Zhang, Mark Coates
2024	J	`jnl`	CKGConv: General Graph Convolution with Continuous Kernels. CoRR Liheng Ma, Soumyasundar Pal, Yitian Zhang, Jiaming Zhou, Yingxue Zhang, Mark Coates
2024	A	`conf`	Categorical Generative Model Evaluation via Synthetic Distribution Coarsening. AISTATS Florence Regol, Mark Coates
2024	J	`jnl`	Differentially private and decentralized randomized power method. CoRR Julien Nicolas, César Sabater, Mohamed Maouche, Sonia Ben Mokhtar, Mark Coates
2024	J	`jnl`	DyG2Vec: Efficient Representation Learning for Dynamic Graphs. Trans. Mach. Learn. Res. Mohammad Ali Alomrani, Mahdi Biparva, Yingxue Zhang, Mark Coates
2024	J	`jnl`	Dynamic layer selection in decoder-only transformers. CoRR Theodore Glavas, Joud Chataoui, Florence Regol, Wassim Jabbour, Antonios Valkanas, Boris N. Oreshkin, Mark Coates
2024	J	`jnl`	Enhancing CTR Prediction in Recommendation Domain with Search Query Representation. CoRR Yuening Wang, Chen Ma, Yaochen Hu, Wei Guo, Yingxue Zhang, Huifeng Guo, Yong Liu, Mark Coates
2024	A	`conf`	Enhancing Click-through Rate Prediction in Recommendation Domain with Search Query Representation. CIKM Yuening Wang, Man Chen, Yaochen Hu, Wei Guo, Yingxue Zhang, Huifeng Guo, Yong Liu, Mark Coates
2024	J	`jnl`	Enhancing Logical Reasoning in Large Language Models through Graph-based Synthetic Data. CoRR Jiaming Zhou, Abbas Ghaddar, Ge Zhang, Liheng Ma, Yaochen Hu, Soumyasundar Pal, Mark Coates, Bin Wang, Yingxue Zhang, Jianye Hao
2024	A*	`conf`	GraSS: Combining Graph Neural Networks with Expert Knowledge for SAT Solver Selection. KDD Zhanguang Zhang, Didier Chételat, Joseph Cotnareanu, Amur Ghose, Wenyi Xiao, Hui-Ling Zhen, Yingxue Zhang, Jianye Hao, Mark Coates, Mingxuan Yuan
2024	J	`jnl`	GraSS: Combining Graph Neural Networks with Expert Knowledge for SAT Solver Selection. CoRR Zhanguang Zhang, Didier Chételat, Joseph Cotnareanu, Amur Ghose, Wenyi Xiao, Hui-Ling Zhen, Yingxue Zhang, Jianye Hao, Mark Coates, Mingxuan Yuan
2024	J	`jnl`	Graph Knowledge Distillation to Mixture of Experts. CoRR Pavel Rumiantsev, Mark Coates
2024	J	`jnl`	Graph Knowledge Distillation to Mixture of Experts. Trans. Mach. Learn. Res. Pavel Rumiantsev, Mark Coates
2024	A*	`conf`	HardCore Generation: Generating Hard UNSAT Problems for Data Augmentation. NeurIPS Joseph Cotnareanu, Zhanguang Zhang, Hui-Ling Zhen, Yingxue Zhang, Mark Coates
2024	J	`jnl`	HardCore Generation: Generating Hard UNSAT Problems for Data Augmentation. CoRR Joseph Cotnareanu, Zhanguang Zhang, Hui-Ling Zhen, Yingxue Zhang, Mark Coates
2024	J	`jnl`	Hint Marginalization for Improved Reasoning in Large Language Models. CoRR Soumyasundar Pal, Didier Chételat, Yingxue Zhang, Mark Coates
2024	A*	`conf`	Interacting Diffusion Processes for Event Sequence Forecasting. ICML Mai Zeng, Florence Regol, Mark Coates
2024	A*	`conf`	Jointly-Learned Exit and Inference for a Dynamic Neural Network. ICLR Florence Regol, Joud Chataoui, Mark Coates
2024	J	`jnl`	MODL: Multilearner Online Deep Learning. CoRR Antonios Valkanas, Boris N. Oreshkin, Mark Coates
2024	A	`conf`	Multi-resolution Time-Series Transformer for Long-term Forecasting. AISTATS Yitian Zhang, Liheng Ma, Soumyasundar Pal, Yingxue Zhang, Mark Coates
2024	J	`jnl`	Path-of-Thoughts: Extracting and Following Paths for Robust Relational Reasoning with Large Language Models. CoRR Ge Zhang, Mohammad Ali Alomrani, Hongjian Gu, Jiaming Zhou, Yaochen Hu, Bin Wang, Qun Liu, Mark Coates, Yingxue Zhang, Jianye Hao
2024	J	`jnl`	Personalized Negative Reservoir for Incremental Learning in Recommender Systems. CoRR Antonios Valkanas, Yuening Wang, Yingxue Zhang, Mark Coates
2024	J	`jnl`	Population Monte Carlo With Normalizing Flow. IEEE Signal Process. Lett. Soumyasundar Pal, Antonios Valkanas, Mark Coates
2024	J	`jnl`	Predicting Probabilities of Error to Combine Quantization and Early Exiting: QuEE. CoRR Florence Regol, Joud Chataoui, Bertrand Charpentier, Mark Coates, Pablo Piantanida, Stephan Günnemann
2024	J	`jnl`	Sparse Decomposition of Graph Neural Networks. CoRR Yaochen Hu, Mai Zeng, Ge Zhang, Pavel Rumiantsev, Liheng Ma, Yingxue Zhang, Mark Coates
2023	A*	`conf`	Bidirectional Learning for Offline Model-based Biological Sequence Design. ICML Can Chen, Yingxue Zhang, Xue Liu, Mark Coates
2023	J	`jnl`	Bidirectional Learning for Offline Model-based Biological Sequence Design. CoRR Can Chen, Yingxue Zhang, Xue Liu, Mark Coates
2023	A*	`conf`	Diffusing Gaussian Mixtures for Generating Categorical Data. AAAI Florence Regol, Mark Coates
2023	J	`jnl`	Diffusing Gaussian Mixtures for Generating Categorical Data. CoRR Florence Regol, Mark Coates
2023	Misc	`conf`	Evaluation of Categorical Generative Models - Bridging the Gap Between Real and Synthetic Data. ICASSP Florence Regol, Anja Kroon, Mark Coates
2023	A*	`conf`	Graph Inductive Biases in Transformers without Message Passing. ICML Liheng Ma, Chen Lin, Derek Lim, Adriana Romero-Soriano, Puneet K. Dokania, Mark Coates, Philip H. S. Torr, Ser-Nam Lim
2023	J	`jnl`	Graph Inductive Biases in Transformers without Message Passing. CoRR Liheng Ma, Chen Lin, Derek Lim, Adriana Romero-Soriano, Puneet K. Dokania, Mark Coates, Philip H. S. Torr, Ser-Nam Lim
2023	A*	`conf`	Intent-aware Multi-source Contrastive Alignment for Tag-enhanced Recommendation. ICDE Haolun Wu, Yingxue Zhang, Chen Ma, Wei Guo, Ruiming Tang, Xue Liu, Mark Coates
2023	J	`jnl`	Interacting Diffusion Processes for Event Sequence Forecasting. CoRR Mai Zeng, Florence Regol, Mark Coates
2023	J	`jnl`	Jointly-Learned Exit and Inference for a Dynamic Neural Network : JEI-DNN. CoRR Florence Regol, Joud Chataoui, Mark Coates
2023	J	`jnl`	Multi-resolution Time-Series Transformer for Long-term Forecasting. CoRR Yitian Zhang, Liheng Ma, Soumyasundar Pal, Yingxue Zhang, Mark Coates
2023	A*	`conf`	Neighbor Auto-Grouping Graph Neural Networks for Handover Parameter Configuration in Cellular Network. AAAI Mehrtash Mehrabi, Walid Masoudimansour, Yingxue Zhang, Jie Chuai, Zhitang Chen, Mark Coates, Jianye Hao, Yanhui Geng
2023	J	`jnl`	Neighbor Auto-Grouping Graph Neural Networks for Handover Parameter Configuration in Cellular Network. CoRR Mehrtash Mehrabi, Walid Masoudimansour, Yingxue Zhang, Jie Chuai, Zhitang Chen, Mark Coates, Jianye Hao, Yanhui Geng
2023	A*	`conf`	Neural Graph Generation from Graph Statistics. NeurIPS Kiarash Zahirnia, Yaochen Hu, Mark Coates, Oliver Schulte
2023	Misc	`conf`	Performing Neural Architecture Search Without Gradients. ICASSP Pavel Rumiantsev, Mark Coates
2023	A	`conf`	Spectral Augmentations for Graph Contrastive Learning. AISTATS Amur Ghose, Yingxue Zhang, Jianye Hao, Mark Coates
2023	J	`jnl`	Spectral Augmentations for Graph Contrastive Learning. CoRR Amur Ghose, Yingxue Zhang, Jianye Hao, Mark Coates
2023	A*	`conf`	Structure Aware Incremental Learning with Personalized Imitation Weights for Recommender Systems. AAAI Yuening Wang, Yingxue Zhang, Antonios Valkanas, Ruiming Tang, Chen Ma, Jianye Hao, Mark Coates
2023	J	`jnl`	Structure Aware Incremental Learning with Personalized Imitation Weights for Recommender Systems. CoRR Yuening Wang, Yingxue Zhang, Antonios Valkanas, Ruiming Tang, Chen Ma, Jianye Hao, Mark Coates
2023	—	`conf`	Substituting Data Annotation with Balanced Neighbourhoods and Collective Loss in Multi-label Text Classification. CoLLAs Muberra Ozmen, Joseph Cotnareanu, Mark Coates
2023	J	`jnl`	Substituting Data Annotation with Balanced Updates and Collective Loss in Multi-label Text Classification. CoRR Muberra Ozmen, Joseph Cotnareanu, Mark Coates
2023	—	`ed.`	Transactions on Computational Science XL Trans. Comput. Sci. Marina L. Gavrilova, C. J. Kenneth Tan, Mark Coates, Yaoping Hu, Henry Leung, Arash Mohammadi, Konstantinos N. Plataniotis, Helder Rodrigues de Oliveira
2022	A	`conf`	Adapting Triplet Importance of Implicit Feedback for Personalized Recommendation. CIKM Haolun Wu, Chen Ma, Yingxue Zhang, Xue Liu, Ruiming Tang, Mark Coates
2022	J	`jnl`	Adapting Triplet Importance of Implicit Feedback for Personalized Recommendation. CoRR Haolun Wu, Chen Ma, Yingxue Zhang, Xue Liu, Ruiming Tang, Mark Coates
2022	A*	`conf`	Bag Graph: Multiple Instance Learning Using Bayesian Graph Neural Networks. AAAI Soumyasundar Pal, Antonios Valkanas, Florence Regol, Mark Coates
2022	J	`jnl`	Bag Graph: Multiple Instance Learning using Bayesian Graph Neural Networks. CoRR Soumyasundar Pal, Antonios Valkanas, Florence Regol, Mark Coates
2022	A*	`conf`	Bidirectional Learning for Offline Infinite-width Model-based Optimization. NeurIPS Can Chen, Yingxue Zhang, Jie Fu, Xue (Steve) Liu, Mark Coates
2022	J	`jnl`	Bidirectional Learning for Offline Infinite-width Model-based Optimization. CoRR Can Chen, Yingxue Zhang, Jie Fu, Xue Liu, Mark Coates
2022	—	`conf`	Contrastive Learning for Time Series on Dynamic Graphs. EUSIPCO Yitian Zhang, Florence Regol, Antonios Valkanas, Mark Coates
2022	J	`jnl`	Contrastive Learning for Time Series on Dynamic Graphs. CoRR Yitian Zhang, Florence Regol, Antonios Valkanas, Mark Coates
2022	J	`jnl`	DyG2Vec: Representation Learning for Dynamic Graphs with Self-Supervision. CoRR Mohammad Ali Alomrani, Mahdi Biparva, Yingxue Zhang, Mark Coates
2022	J	`jnl`	Intent-aware Multi-source Contrastive Alignment for Tag-enhanced Recommendation. CoRR Haolun Wu, Yingxue Zhang, Chen Ma, Wei Guo, Ruiming Tang, Xue Liu, Mark Coates
2022	Misc	`conf`	Multi-Relation Message Passing for Multi-Label Text Classification. ICASSP Muberra Ozmen, Hao Zhang, Pengyun Wang, Mark Coates
2022	J	`jnl`	Multi-relation Message Passing for Multi-label Text Classification. CoRR Muberra Ozmen, Hao Zhang, Pengyun Wang, Mark Coates
2022	J	`jnl`	Node Copying: A Random Graph Model for Effective Graph Sampling. CoRR Florence Regol, Soumyasundar Pal, Jianing Sun, Yingxue Zhang, Yanhui Geng, Mark Coates
2022	J	`jnl`	Node copying: A random graph model for effective graph sampling. Signal Process. Florence Regol, Soumyasundar Pal, Jianing Sun, Yingxue Zhang, Yanhui Geng, Mark Coates
2022	J	`jnl`	On the Design of Channel Coding Autoencoders With Arbitrary Rates for ISI Channels. IEEE Wirel. Commun. Lett. Yitian Zhang, Huihui Wu, Mark Coates
2022	J	`jnl`	Spectral image clustering on dual-energy CT scans using functional regression mixtures. CoRR Segolene Brivet, Faicel Chamroukhi, Mark Coates, Reza Forghani, Peter Savadjiev
2022	—	`conf`	Towards Bayesian Learning of the Architecture, Graph and Parameters for Graph Neural Networks. IEEECONF Antonios Valkanas, André-Walter Panzini, Mark Coates
2021	A	`conf`	Detection and Defense of Topological Adversarial Attacks on Graphs. AISTATS Yingxue Zhang, Florence Regol, Soumyasundar Pal, Sakif Khan, Liheng Ma, Mark Coates
2021	A*	`conf`	FC-GAGA: Fully Connected Gated Graph Architecture for Spatio-Temporal Traffic Forecasting. AAAI Boris N. Oreshkin, Arezou Amini, Lucy Coyle, Mark Coates
2021	A	`conf`	Generalizable Cross-Graph Embedding for GNN-based Congestion Prediction. ICCAD Amur Ghose, Vincent Zhang, Yingxue Zhang, Dong Li, Wulong Liu, Mark Coates
2021	J	`jnl`	Generalizable Cross-Graph Embedding for GNN-based Congestion Prediction. CoRR Amur Ghose, Vincent Zhang, Yingxue Zhang, Dong Li, Wulong Liu, Mark Coates
2021	A	`conf`	Graph Structure Aware Contrastive Knowledge Distillation for Incremental Learning in Recommender Systems. CIKM Yuening Wang, Yingxue Zhang, Mark Coates
2021	A*	`conf`	Knowledge-Enhanced Top-K Recommendation in Poincaré Ball. AAAI Chen Ma, Liheng Ma, Yingxue Zhang, Haolun Wu, Xue Liu, Mark Coates
2021	J	`jnl`	Knowledge-Enhanced Top-K Recommendation in Poincaré Ball. CoRR Chen Ma, Liheng Ma, Yingxue Zhang, Haolun Wu, Xue Liu, Mark Coates
2021	J	`jnl`	Learning Gaussian Graphical Models With Ordered Weighted $\ell _1$ Regularization. IEEE Trans. Signal Process. Cody Mazza-Anthony, Bogdan Mazoure, Mark Coates
2021	J	`jnl`	Probabilistic Metric Learning with Adaptive Margin for Top-K Recommendation. CoRR Chen Ma, Liheng Ma, Yingxue Zhang, Ruiming Tang, Xue Liu, Mark Coates
2021	A*	`conf`	RNN with Particle Flow for Probabilistic Spatio-temporal Forecasting. ICML Soumyasundar Pal, Liheng Ma, Yingxue Zhang, Mark Coates
2021	J	`jnl`	RNN with Particle Flow for Probabilistic Spatio-temporal Forecasting. CoRR Soumyasundar Pal, Liheng Ma, Yingxue Zhang, Mark Coates
2021	A	`conf`	Structure Aware Experience Replay for Incremental Learning in Graph-based Recommender Systems. CIKM Kian Ahrabian, Yishi Xu, Yingxue Zhang, Jiapeng Wu, Yuening Wang, Mark Coates
2021	A*	`conf`	TIE: A Framework for Embedding-based Incremental Temporal Knowledge Graph Completion. SIGIR Jiapeng Wu, Yishi Xu, Yingxue Zhang, Chen Ma, Mark Coates, Jackie Chi Kit Cheung
2021	J	`jnl`	TIE: A Framework for Embedding-based Incremental Temporal Knowledge Graph Completion. CoRR Jiapeng Wu, Yishi Xu, Yingxue Zhang, Chen Ma, Mark Coates, Jackie Chi Kit Cheung
2020	A*	`conf`	A Framework for Recommending Accurate and Diverse Items Using Bayesian Graph Convolutional Neural Networks. KDD Jianing Sun, Wei Guo, Dengcheng Zhang, Yingxue Zhang, Florence Regol, Yaochen Hu, Huifeng Guo, Ruiming Tang, Han Yuan, Xiuqiang He, Mark Coates
2020	B	`conf`	A Tripartite Theory of Trustworthiness for Autonomous Systems. SMC Yingxu Wang, Svetlana N. Yanushkevich, Ming Hou, Konstantinos N. Plataniotis, Mark Coates, Marina L. Gavrilova, Yaoping Hu, Fakhri Karray, Henry Leung, Arash Mohammadi, Sam Kwong, Edward W. Tunstel, Ljiljana Trajkovic, Imre J. Rudas, Janusz Kacprzyk
2020	A*	`conf`	Active Learning on Attributed Graphs via Graph Cognizant Logistic Regression and Preemptive Query Generation. ICML Florence Regol, Soumyasundar Pal, Yingxue Zhang, Mark Coates
2020	J	`jnl`	Active Learning on Attributed Graphs via Graph Cognizant Logistic Regression and Preemptive Query Generation. CoRR Florence Regol, Soumyasundar Pal, Yingxue Zhang, Mark Coates
2020	—	`conf`	End-to-end Physical Layer Communication using Bi-directional GRUs for ISI Channels. GLOBECOM (Workshops) Huihui Wu, Yitian Zhang, Xueqing Zhao, Ningbo Zhu, Mark Coates
2020	A	`conf`	GraphSAIL: Graph Structure Aware Incremental Learning for Recommender Systems. CIKM Yishi Xu, Yingxue Zhang, Wei Guo, Huifeng Guo, Ruiming Tang, Mark Coates
2020	J	`jnl`	GraphSAIL: Graph Structure Aware Incremental Learning for Recommender Systems. CoRR Yishi Xu, Yingxue Zhang, Wei Guo, Huifeng Guo, Ruiming Tang, Mark Coates
2020	J	`jnl`	GraphSeam: Supervised Graph Learning Framework for Semantic UV Mapping. CoRR Fatemeh Teimury, Bruno Roy, Juan Sebastián Casallas, David MacDonald, Mark Coates
2020	Misc	`conf`	Learning from Networks of Distributions. ACSSC Antonios Valkanas, Florence Regol, Mark Coates
2020	A*	`conf`	Memory Augmented Graph Neural Networks for Sequential Recommendation. AAAI Chen Ma, Liheng Ma, Yingxue Zhang, Jianing Sun, Xue Liu, Mark Coates
2020	J	`jnl`	Multi-Graph Convolution Collaborative Filtering. CoRR Jianing Sun, Yingxue Zhang, Chen Ma, Mark Coates, Huifeng Guo, Ruiming Tang, Xiuqiang He
2020	A*	`conf`	Neighbor Interaction Aware Graph Convolution Networks for Recommendation. SIGIR Jianing Sun, Yingxue Zhang, Wei Guo, Huifeng Guo, Ruiming Tang, Xiuqiang He, Chen Ma, Mark Coates
2020	J	`jnl`	Node Copying for Protection Against Graph Neural Network Topology Attacks. CoRR Florence Regol, Soumyasundar Pal, Mark Coates
2020	A	`conf`	Non Parametric Graph Learning for Bayesian Graph Neural Networks. UAI Soumyasundar Pal, Saber Malekmohammadi, Florence Regol, Yingxue Zhang, Yishi Xu, Mark Coates
2020	J	`jnl`	Non-Parametric Graph Learning for Bayesian Graph Neural Networks. CoRR Soumyasundar Pal, Saber Malekmohammadi, Florence Regol, Yingxue Zhang, Yishi Xu, Mark Coates
2020	A*	`conf`	Probabilistic Metric Learning with Adaptive Margin for Top-K Recommendation. KDD Chen Ma, Liheng Ma, Yingxue Zhang, Ruiming Tang, Xue Liu, Mark Coates
2019	A*	`conf`	Bayesian Graph Convolutional Neural Networks for Semi-Supervised Classification. AAAI Yingxue Zhang, Soumyasundar Pal, Mark Coates, Deniz Üstebay
2019	J	`jnl`	Bayesian Graph Convolutional Neural Networks using Node Copying. CoRR Soumyasundar Pal, Florence Regol, Mark Coates
2019	J	`jnl`	Learning Gaussian Graphical Models with Ordered Weighted L1 Regularization. CoRR Cody Mazza-Anthony, Bogdan Mazoure, Mark Coates
2019	J	`jnl`	Memory Augmented Graph Neural Networks for Sequential Recommendation. CoRR Chen Ma, Liheng Ma, Yingxue Zhang, Jianing Sun, Xue Liu, Mark Coates
2019	—	`conf`	Microwave Radar for Breast Screening: Initial Clinical Data with Suspicious-Lesion Patients. EMBC Lena Kranold, Collin Quintyne, Mark Coates, Milica Popovic
2019	A*	`conf`	Multi-graph Convolution Collaborative Filtering. ICDM Jianing Sun, Yingxue Zhang, Chen Ma, Mark Coates, Huifeng Guo, Ruiming Tang, Xiuqiang He
2019	Misc	`conf`	Multiple-graph Recurrent Graph Convolutional Neural Network Architectures for Predicting Disease Outcomes. ICASSP Juliette Valenchon, Mark Coates
2019	—	`conf`	Node Copying for Protection Against Graph Neural Network Topology Attacks. CAMSAP Florence Regol, Soumyasundar Pal, Mark Coates
2019	—	`conf`	Particle Flow Particle Filter using Gromov's method. CAMSAP Soumyasundar Pal, Mark Coates
2019	Misc	`conf`	Scalable MCMC in Degree Corrected Stochastic Block Model. ICASSP Soumyasundar Pal, Mark Coates
2018	J	`jnl`	Bayesian graph convolutional neural networks for semi-supervised classification. CoRR Yingxue Zhang, Soumyasundar Pal, Mark Coates, Deniz Üstebay
2018	A	`conf`	Cost Adaptation for Robust Decentralized Swarm Behaviour. IROS Peter Henderson, Matthew Vertescher, David Meger, Mark Coates
2018	Misc	`conf`	Particle Flow Particle Filter for Gaussian Mixture Noise Models. ICASSP Soumyasundar Pal, Mark Coates
2018	—	`conf`	Sequential MCMC With The Discrete Bouncy Particle Sampler. SSP Soumyasundar Pal, Mark Coates
2017	—	`conf`	Algorithms for the multi-sensor assignment problem in the δ-generalized labeled multi-Bernoulli filter. CAMSAP Jun Ye Yu, Augustin-Alexandru Saucan, Mark Coates, Michael G. Rabbat
2017	J	`jnl`	Cost Adaptation for Robust Decentralized Swarm Behaviour. CoRR Peter Henderson, Matthew Vertescher, David Meger, Mark Coates
2017	—	`conf`	Gaussian sum particle flow filter. CAMSAP Soumyasundar Pal, Mark Coates
2017	J	`jnl`	Microwave breast cancer detection via cost-sensitive ensemble classifiers: Phantom and patient investigation. Biomed. Signal Process. Control. Yunpeng Li, Emily Porter, Adam Santorelli, Milica Popovic, Mark Coates
2017	J	`jnl`	Online Bayesian Inference of Diffusion Networks. IEEE Trans. Signal Inf. Process. over Networks Shohreh Shaghaghian, Mark Coates
2017	J	`jnl`	Particle Filtering With Invertible Particle Flow. IEEE Trans. Signal Process. Yunpeng Li, Mark Coates
2017	Misc	`conf`	Particle flow SMC delta-GLMB filter. ICASSP Augustin-Alexandru Saucan, Yunpeng Li, Mark Coates
2017	J	`jnl`	Semi-parametric order-based generalized multivariate regression. J. Multivar. Anal. Milad Kharratzadeh, Mark Coates
2017	Misc	`conf`	Sequential MCMC with invertible particle flow. ICASSP Yunpeng Li, Mark Coates
2016	J	`jnl`	An Early Clinical Study of Time-Domain Microwave Radar for Breast Health Monitoring. IEEE Trans. Biomed. Eng. Emily Porter, Mark Coates, Milica Popovic
2016	J	`jnl`	Bayesian Inference of Diffusion Networks with Unknown Infection Times. CoRR Shohreh Shaghaghian, Mark Coates
2016	—	`conf`	Bayesian inference of diffusion networks with unknown infection times. SSP Shohreh Shaghaghian, Mark Coates
2016	Misc	`conf`	Distributed multi-sensor CPHD filter using pairwise gossiping. ICASSP Jun Ye Yu, Mark Coates, Michael G. Rabbat
2016	C	`conf`	Fast particle flow particle filters via clustering. FUSION Yunpeng Li, Mark Coates
2016	—	`conf`	Graph Laplacian distributed particle filtering. EUSIPCO Michael G. Rabbat, Mark Coates, Stéphane Blouin
2016	J	`jnl`	Multisensor CPHD filter. IEEE Trans. Aerosp. Electron. Syst. Santosh Nannuru, Stéphane Blouin, Mark Coates, Michael G. Rabbat
2016	J	`jnl`	Online Bayesian Inference of Diffusion Networks. CoRR Shohreh Shaghaghian, Mark Coates
2016	—	`conf`	Order-based generalized multivariate regression. SSP Milad Kharratzadeh, Mark Coates
2016	Misc	`conf`	Particle flow for particle filtering. ICASSP Yunpeng Li, Lingling Zhao, Mark Coates
2016	—	`conf`	Sparse multivariate factor regression. SSP Milad Kharratzadeh, Mark Coates
2015	C	`conf`	Comparison of angle-only filtering algorithms in 3D using EKF, UKF, PF, PFF, and ensemble KF. FUSION Syamantak Datta Gupta, Jun Ye Yu, Mahendra Mallick, Mark Coates, Mark R. Morelande
2015	Misc	`conf`	Cost-sensitive ensemble classifiers for microwave breast cancer detection. ICASSP Yunpeng Li, Adam Santorelli, Olivier Laforest, Mark Coates
2015	J	`jnl`	Error Propagation in Gossip-Based Distributed Particle Filters. IEEE Trans. Signal Inf. Process. over Networks Syamantak Datta Gupta, Mark Coates, Michael G. Rabbat
2015	Misc	`conf`	General solution and approximate implementation of the multisensor multitarget CPHD filter. ICASSP Santosh Nannuru, Mark Coates, Michael G. Rabbat, Stéphane Blouin
2015	J	`jnl`	Hybrid multi-Bernoulli and CPHD filters for superpositional sensors. IEEE Trans. Aerosp. Electron. Syst. Santosh Nannuru, Mark Coates
2015	Misc	`conf`	Online time-dependent clustering using probabilistic topic models. ICASSP Benjamin Renard, Milad Kharratzadeh, Mark Coates
2015	J	`jnl`	Optimal Forwarding in Opportunistic Delay Tolerant Networks With Meeting Rate Estimations. IEEE Trans. Signal Inf. Process. over Networks Shohreh Shaghaghian, Mark Coates
2015	J	`jnl`	Optimal Forwarding in Opportunistic Delay Tolerant Networks with Meeting Rate Estimations. CoRR Shohreh Shaghaghian, Mark Coates
2015	—	`conf`	Particle flow auxiliary particle filter. CAMSAP Yunpeng Li, Lingling Zhao, Mark Coates
2015	—	`conf`	Performance investigation on constraint sufficient statistics distributed particle filter. CCECE Jun Ye Yu, Michael G. Rabbat, Mark Coates, Stéphane Blouin
2014	—	`conf`	Distributed ensemble Kalman filtering. SAM Arslan Shahid, Deniz Üstebay, Mark Coates
2014	B	`conf`	Opportunistic networks: Minimizing expected latency. WiMob Shohreh Shaghaghian, Mark Coates
2013	J	`jnl`	Computationally-Tractable Approximate PHD and CPHD Filters for Superpositional Sensors. IEEE J. Sel. Top. Signal Process. Santosh Nannuru, Mark Coates, Ronald P. S. Mahler
2013	—	`conf`	Contact graph based routing in opportunistic networks. GlobalSIP Divya Alok Sharma, Mark Coates
2013	J	`jnl`	Content Distribution Strategies in Opportunistic Networks. CoRR Syed Haani Masood, Syed Ali Raza, Mark Coates
2013	Misc	`conf`	Distributed underwater acoustic source localization and tracking. ACSSC Jun Ye Yu, Deniz Üstebay, Stéphane Blouin, Michael G. Rabbat, Mark Coates
2013	J	`jnl`	Microwave Radar and Microwave-Induced Thermoacoustics: Dual-Modality Approach for Breast Cancer Detection. IEEE Trans. Biomed. Eng. Evgeny Kirshin, Boris N. Oreshkin, Kevin Guangran Zhu, Milica Popovic, Mark Coates
2013	C	`conf`	Multi-Bernoulli filter for superpositional sensors. FUSION Santosh Nannuru, Mark Coates
2013	—	`conf`	Particle filter implementation of the multi-Bernoulli filter for superpositional sensors. CAMSAP Santosh Nannuru, Mark Coates
2013	J	`jnl`	Radio-Frequency Tomography for Passive Indoor Multitarget Tracking. IEEE Trans. Mob. Comput. Santosh Nannuru, Yunpeng Li, Yan Zeng, Mark Coates, Bo Yang
2012	—	`conf`	An energy-efficiency assessment of Content Centric Networking (CCN). CCECE Muhammad Rizwan Butt, Oscar Delgado, Mark Coates
2012	J	`jnl`	GANC: Greedy agglomerative normalized cut for graph clustering. Pattern Recognit. Seyed Salim Tabatabaei, Mark Coates, Michael G. Rabbat
2012	—	`conf`	Recent progress in ultra-wideband microwave breast cancer detection. ICUWB Simone Angela Winkler, Emily Porter, Adam Santorelli, Mark Coates, Milica Popovic
2012	A	`conf`	Weblog Analysis for Predicting Correlations in Stock Price Evolutions. ICWSM Milad Kharratzadeh, Mark Coates
2011	J	`jnl`	Cross-Layer Monitoring in Transparent Optical Networks. JOCN Yvan Pointurier, Mark Coates, Michael G. Rabbat
2011	Misc	`conf`	Distributed auxiliary particle filters using selective gossip. ICASSP Deniz Üstebay, Mark Coates, Michael G. Rabbat
2011	—	`conf`	Fusing microwave radar and microwave-induced thermoacoustics for breast cancer detection. ISBI Evgeny Kirshin, Boris N. Oreshkin, Kevin Guangran Zhu, Milica Popovic, Mark Coates
2011	J	`jnl`	GANC: Greedy Agglomerative Normalized Cut CoRR Seyed Salim Tabatabaei, Mark Coates, Michael G. Rabbat
2011	J	`jnl`	Introduction to the Issue on Gossiping Algorithms Design and Applications. IEEE J. Sel. Top. Signal Process. Anna Scaglione, Mark Coates, Michael Gastpar, John N. Tsitsiklis, Martin Vetterli
2011	J	`jnl`	Large scale probabilistic available bandwidth estimation. Comput. Networks Frederic Thouin, Mark Coates, Michael G. Rabbat
2011	C	`conf`	Multi-target tracking for measurement models with additive contributions. FUSION Frederic Thouin, Santosh Nannuru, Mark Coates
2011	Misc	`conf`	Sequential Monte Carlo Radio-Frequency tomographic tracking. ICASSP Yunpeng Li, Xi Chen, Mark Coates, Bo Yang
2011	—	`conf`	Sequential Monte Carlo for simultaneous passive device-free tracking and sensor localization using received signal strength measurements. IPSN Xi Chen, Andrea Edelstein, Yunpeng Li, Mark Coates, Michael G. Rabbat, Aidong Men
2010	J	`jnl`	Efficient delay-tolerant particle filtering CoRR Boris N. Oreshkin, Xuan Liu, Mark Coates
2010	J	`jnl`	Greedy gossip with eavesdropping. IEEE Trans. Signal Process. Deniz Üstebay, Boris N. Oreshkin, Mark Coates, Michael G. Rabbat
2010	J	`jnl`	Large scale probabilistic available bandwidth estimation CoRR Frederic Thouin, Mark Coates, Michael G. Rabbat
2010	J	`jnl`	Multi-path Probabilistic Available Bandwidth Estimation through Bayesian Active Learning CoRR Frederic Thouin, Mark Coates, Michael G. Rabbat
2010	J	`jnl`	Optimization and analysis of distributed averaging with short node memory. IEEE Trans. Signal Process. Boris N. Oreshkin, Mark Coates, Michael G. Rabbat
2010	J	`jnl`	Real-Time Multi-path Tracking of Probabilistic Available Bandwidth CoRR Frederic Thouin, Mark Coates, Michael G. Rabbat
2009	A*	`conf`	Controlling False Alarm/Discovery Rates in Online Internet Traffic Flow Classification. INFOCOM Daniel Nechay, Yvan Pointurier, Mark Coates
2009	J	`jnl`	Greedy Gossip with Eavesdropping CoRR Deniz Üstebay, Boris N. Oreshkin, Mark Coates, Michael G. Rabbat
2009	C	`conf`	Multi-hop Greedy Gossip with Eavesdropping. FUSION Deniz Üstebay, Boris N. Oreshkin, Mark Coates, Michael G. Rabbat
2009	J	`jnl`	Optimization and Analysis of Distributed Averaging with Short Node Memory CoRR Boris N. Oreshkin, Mark Coates, Michael G. Rabbat
2009	J	`jnl`	Scheduling in overlaid star all-photonic networks with large propagation delays. Photonic Netw. Commun. Nahid Saberi, Mark Coates
2009	Misc	`conf`	The speed of greed: Characterizing myopic gossip through network voracity. ICASSP Deniz Üstebay, Boris N. Oreshkin, Mark Coates, Michael G. Rabbat
2008	J	`jnl`	Distributed Average Consensus With Dithered Quantization. IEEE Trans. Signal Process. Tuncer C. Aysal, Mark Coates, Michael G. Rabbat
2008	Misc	`conf`	Distributed average consensus with increased convergence rate. ICASSP Boris N. Oreshkin, Tuncer C. Aysal, Mark Coates
2008	J	`jnl`	Equipment allocation in video-on-demand network deployments. ACM Trans. Multim. Comput. Commun. Appl. Frederic Thouin, Mark Coates
2008	—	`conf`	Greedy gossip with eavesdropping. ISWPC Deniz Üstebay, Mark Coates, Michael G. Rabbat
2008	Misc	`conf`	Learning to satisfy. ICASSP Frederic Thouin, Mark Coates, Brian Eriksson, Robert D. Nowak, Clayton D. Scott
2008	—	`conf`	Rates of convergence for greedy gossip with eavesdropping. Allerton Deniz Üstebay, Boris N. Oreshkin, Mark Coates, Michael G. Rabbat
2008	C	`conf`	Weak sense Lp error bounds for leader-node distributed particle filters. FUSION Boris N. Oreshkin, Mark Coates
2007	A	`conf`	Compressed network monitoring for ip and all-optical networks. Internet Measurement Conference Mark Coates, Yvan Pointurier, Michael G. Rabbat
2007	C	`conf`	Feedback Control System for Scheduling of Wide-Area All-Photonic Networks. ISCC Nahid Saberi, Mark Coates
2007	A*	`conf`	Multivariate Online Anomaly Detection Using Kernel Recursive Least Squares. INFOCOM Tarem Ahmed, Mark Coates, Anukool Lakhina
2007	J	`jnl`	Video-on-Demand Networks: Design Approaches and Future Challenges. IEEE Netw. Frederic Thouin, Mark Coates
2007	A	`conf`	Video-on-Demand Server Selection and Placement. ITC Frederic Thouin, Mark Coates
2006	J	`jnl`	Deterministic packet marking for time-varying congestion price estimation. IEEE/ACM Trans. Netw. Richard W. Thommes, Mark Coates
2006	A*	`conf`	Epidemiological Modelling of Peer-to-Peer Viruses and Pollution. INFOCOM Richard W. Thommes, Mark Coates
2006	—	`conf`	Fair Matching Algorithm: Fixed-Length Frame Scheduling in All-Photonic Networks. Wireless and Optical Communications Nahid Saberi, Mark Coates
2006	C	`conf`	Minimum Rejection Scheduling in All-Photonic Networks. BROADNETS Nahid Saberi, Mark Coates
2006	J	`jnl`	Multiple-Source Internet Tomography. IEEE J. Sel. Areas Commun. Michael G. Rabbat, Mark Coates, Robert D. Nowak
2006	B	`conf`	Video-on-Demand Equipment Allocation. NCA Frederic Thouin, Mark Coates, Dominic Goodwill
2005	—	`conf`	Evaluating causal relationships in wireless sensor/actuator networks. ICASSP (5) Mark Coates
2004	A*	`conf`	Deterministic Packet Marking for Congestion Price Estimation. INFOCOM Richard W. Thommes, Mark Coates
2004	—	`conf`	Distributed particle filters for sensor networks. IPSN Mark Coates
2004	—	`conf`	Evaluating average causal effect using wireless sensor networks. ICASSP (3) Mark Coates, Ioannis N. Psaromiligkos
2004	J	`jnl`	Likelihood based hierarchical clustering. IEEE Trans. Signal Process. Rui M. Castro, Mark Coates, Robert D. Nowak
2004	A*	`conf`	Multiple Source, Multiple Destination Network Tomography. INFOCOM Michael G. Rabbat, Robert D. Nowak, Mark Coates
2003	A	`conf`	Merging logical topologies using end-to-end measurements. Internet Measurement Conference Mark Coates, Michael G. Rabbat, Robert D. Nowak
2003	J	`jnl`	Network delay tomography. IEEE Trans. Signal Process. Yolanda Tsang, Mark Coates, Robert D. Nowak
2002	J	`jnl`	Internet tomography. IEEE Signal Process. Mag. Mark Coates, Alfred O. Hero III, Robert D. Nowak, Bin Yu
2002	A*	`conf`	Maximum likelihood network topology identification from edge-based unicast measurements. SIGMETRICS Mark Coates, Rui M. Castro, Robert D. Nowak, Manik Gadhiok, Ryan King, Yolanda Tsang
2002	Misc	`conf`	Nonparametric internet tomography. ICASSP Yolanda Tsang, Mark Coates, Robert D. Nowak
2002	J	`jnl`	Sequential Monte Carlo inference of internal delays in nonstationary data networks. IEEE Trans. Signal Process. Mark Coates, Robert D. Nowak
2001	J	`jnl`	Hybrid linear/quadratic time-frequency attributes. IEEE Trans. Signal Process. Richard G. Baraniuk, Mark Coates, Philippe Steeghs
2001	Misc	`conf`	Network tomography for internal delay estimation. ICASSP Mark Coates, Robert D. Nowak
2001	Misc	`conf`	Passive network tomography using EM algorithms. ICASSP Yolanda Tsang, Mark Coates, Robert D. Nowak
2000	Misc	`conf`	Hybrid linear/quadratic time-frequency attributes. ICASSP Richard G. Baraniuk, Mark Coates, Philippe Steeghs
2000	B	`conf`	Non-Redundant, Directionally Selective, Complex Wavelets. ICIP Rutger L. van Spaendonck, Felix C. A. Fernandes, Mark Coates, C. Sidney Burrus
2000	Misc	`conf`	Time-frequency signal decomposition using energy mixture models. ICASSP Mark Coates, William J. Fitzgerald