| 2025 | AISTATS | InnerThoughts: Disentangling Representations and Predictions in Large Language Models. | Didier Chtelat, Joseph Cotnareanu, Rylee Thompson, Yingxue Zhang, Mark Coates |
| 2025 | AISTATS | MODL: Multilearner Online Deep Learning. | Antonios Valkanas, Boris N. Oreshkin, Mark Coates |
| 2025 | CIKM | PriviRec: Confidential and Decentralized Graph Filtering for Recommender Systems. | Julien Nicolas, Csar Sabater, Mohamed Maouche, Mark Coates, Sonia Ben Mokhtar |
| 2025 | ICML | When to retrain a machine learning model. | Florence Regol, Leo Schwinn, Kyle Sprague, Mark Coates, Thomas Markovich |
| 2025 | ICML | SKOLR: Structured Koopman Operator Linear RNN for Time-Series Forecasting. | Yitian Zhang, Liheng Ma, Antonios Valkanas, Boris N. Oreshkin, Mark Coates |
| 2024 | AISTATS | Categorical Generative Model Evaluation via Synthetic Distribution Coarsening. | Florence Regol, Mark Coates |
| 2024 | AISTATS | Multi-resolution Time-Series Transformer for Long-term Forecasting. | Yitian Zhang, Liheng Ma, Soumyasundar Pal, Yingxue Zhang, Mark Coates |
| 2024 | CIKM | Enhancing Click-through Rate Prediction in Recommendation Domain with Search Query Representation. | Yuening Wang, Man Chen, Yaochen Hu, Wei Guo, Yingxue Zhang, Huifeng Guo, Yong Liu, Mark Coates |
| 2024 | ICLR | Jointly-Learned Exit and Inference for a Dynamic Neural Network. | Florence Regol, Joud Chataoui, Mark Coates |
| 2024 | ICML | CKGConv: General Graph Convolution with Continuous Kernels. | Liheng Ma, Soumyasundar Pal, Yitian Zhang, Jiaming Zhou, Yingxue Zhang, Mark Coates |
| 2024 | ICML | Interacting Diffusion Processes for Event Sequence Forecasting. | Mai Zeng, Florence Regol, Mark Coates |
| 2024 | KDD | GraSS: Combining Graph Neural Networks with Expert Knowledge for SAT Solver Selection. | Zhanguang Zhang, Didier Chtelat, Joseph Cotnareanu, Amur Ghose, Wenyi Xiao, Hui-Ling Zhen, Yingxue Zhang, Jianye Hao, Mark Coates, Mingxuan Yuan |
| 2023 | AAAI | Neighbor Auto-Grouping Graph Neural Networks for Handover Parameter Configuration in Cellular Network. | Mehrtash Mehrabi, Walid Masoudimansour, Yingxue Zhang, Jie Chuai, Zhitang Chen, Mark Coates, Jianye Hao, Yanhui Geng |
| 2023 | AAAI | Diffusing Gaussian Mixtures for Generating Categorical Data. | Florence Regol, Mark Coates |
| 2023 | AAAI | Structure Aware Incremental Learning with Personalized Imitation Weights for Recommender Systems. | Yuening Wang, Yingxue Zhang, Antonios Valkanas, Ruiming Tang, Chen Ma, Jianye Hao, Mark Coates |
| 2023 | AISTATS | Spectral Augmentations for Graph Contrastive Learning. | Amur Ghose, Yingxue Zhang, Jianye Hao, Mark Coates |
| 2023 | ICASSP | Evaluation of Categorical Generative Models - Bridging the Gap Between Real and Synthetic Data. | Florence Regol, Anja Kroon, Mark Coates |
| 2023 | ICASSP | Performing Neural Architecture Search Without Gradients. | Pavel Rumiantsev, Mark Coates |
| 2023 | ICDE | Intent-aware Multi-source Contrastive Alignment for Tag-enhanced Recommendation. | Haolun Wu, Yingxue Zhang, Chen Ma, Wei Guo, Ruiming Tang, Xue Liu, Mark Coates |
| 2023 | ICML | Bidirectional Learning for Offline Model-based Biological Sequence Design. | Can Chen, Yingxue Zhang, Xue Liu, Mark Coates |
| 2023 | ICML | Graph Inductive Biases in Transformers without Message Passing. | Liheng Ma, Chen Lin, Derek Lim, Adriana Romero-Soriano, Puneet K. Dokania, Mark Coates, Philip H. S. Torr, Ser-Nam Lim |
| 2022 | AAAI | Bag Graph: Multiple Instance Learning Using Bayesian Graph Neural Networks. | Soumyasundar Pal, Antonios Valkanas, Florence Regol, Mark Coates |
| 2022 | ACSSC | Towards Bayesian Learning of the Architecture, Graph and Parameters for Graph Neural Networks. | Antonios Valkanas, Andr-Walter Panzini, Mark Coates |
| 2022 | CIKM | Adapting Triplet Importance of Implicit Feedback for Personalized Recommendation. | Haolun Wu, Chen Ma, Yingxue Zhang, Xue Liu, Ruiming Tang, Mark Coates |
| 2022 | ICASSP | Multi-Relation Message Passing for Multi-Label Text Classification. | Muberra Ozmen, Hao Zhang, Pengyun Wang, Mark Coates |
| 2021 | AAAI | Knowledge-Enhanced Top-K Recommendation in Poincar Ball. | Chen Ma, Liheng Ma, Yingxue Zhang, Haolun Wu, Xue Liu, Mark Coates |
| 2021 | AAAI | FC-GAGA: Fully Connected Gated Graph Architecture for Spatio-Temporal Traffic Forecasting. | Boris N. Oreshkin, Arezou Amini, Lucy Coyle, Mark Coates |
| 2021 | AISTATS | Detection and Defense of Topological Adversarial Attacks on Graphs. | Yingxue Zhang, Florence Regol, Soumyasundar Pal, Sakif Khan, Liheng Ma, Mark Coates |
| 2021 | CIKM | Structure Aware Experience Replay for Incremental Learning in Graph-based Recommender Systems. | Kian Ahrabian, Yishi Xu, Yingxue Zhang, Jiapeng Wu, Yuening Wang, Mark Coates |
| 2021 | CIKM | Graph Structure Aware Contrastive Knowledge Distillation for Incremental Learning in Recommender Systems. | Yuening Wang, Yingxue Zhang, Mark Coates |
| 2021 | ICCAD | Generalizable Cross-Graph Embedding for GNN-based Congestion Prediction. | Amur Ghose, Vincent Zhang, Yingxue Zhang, Dong Li, Wulong Liu, Mark Coates |
| 2021 | ICML | RNN with Particle Flow for Probabilistic Spatio-temporal Forecasting. | Soumyasundar Pal, Liheng Ma, Yingxue Zhang, Mark Coates |
| 2021 | SIGIR | TIE: A Framework for Embedding-based Incremental Temporal Knowledge Graph Completion. | Jiapeng Wu, Yishi Xu, Yingxue Zhang, Chen Ma, Mark Coates, Jackie Chi Kit Cheung |
| 2020 | AAAI | Memory Augmented Graph Neural Networks for Sequential Recommendation. | Chen Ma, Liheng Ma, Yingxue Zhang, Jianing Sun, Xue Liu, Mark Coates |
| 2020 | ACSSC | Learning from Networks of Distributions. | Antonios Valkanas, Florence Regol, Mark Coates |
| 2020 | CIKM | GraphSAIL: Graph Structure Aware Incremental Learning for Recommender Systems. | Yishi Xu, Yingxue Zhang, Wei Guo, Huifeng Guo, Ruiming Tang, Mark Coates |
| 2020 | GLOBECOM | End-to-end Physical Layer Communication using Bi-directional GRUs for ISI Channels. | Huihui Wu, Yitian Zhang, Xueqing Zhao, Ningbo Zhu, Mark Coates |
| 2020 | ICML | Active Learning on Attributed Graphs via Graph Cognizant Logistic Regression and Preemptive Query Generation. | Florence Regol, Soumyasundar Pal, Yingxue Zhang, Mark Coates |
| 2020 | KDD | Probabilistic Metric Learning with Adaptive Margin for Top-K Recommendation. | Chen Ma, Liheng Ma, Yingxue Zhang, Ruiming Tang, Xue Liu, Mark Coates |
| 2020 | KDD | A Framework for Recommending Accurate and Diverse Items Using Bayesian Graph Convolutional Neural Networks. | Jianing Sun, Wei Guo, Dengcheng Zhang, Yingxue Zhang, Florence Regol, Yaochen Hu, Huifeng Guo, Ruiming Tang, Han Yuan, Xiuqiang He, Mark Coates |
| 2020 | SMC | A Tripartite Theory of Trustworthiness for Autonomous Systems. | 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 | SIGIR | Neighbor Interaction Aware Graph Convolution Networks for Recommendation. | Jianing Sun, Yingxue Zhang, Wei Guo, Huifeng Guo, Ruiming Tang, Xiuqiang He, Chen Ma, Mark Coates |
| 2020 | UAI | Non Parametric Graph Learning for Bayesian Graph Neural Networks. | Soumyasundar Pal, Saber Malekmohammadi, Florence Regol, Yingxue Zhang, Yishi Xu, Mark Coates |
| 2019 | AAAI | Bayesian Graph Convolutional Neural Networks for Semi-Supervised Classification. | Yingxue Zhang, Soumyasundar Pal, Mark Coates, Deniz stebay |
| 2019 | ICASSP | Scalable MCMC in Degree Corrected Stochastic Block Model. | Soumyasundar Pal, Mark Coates |
| 2019 | ICASSP | Multiple-graph Recurrent Graph Convolutional Neural Network Architectures for Predicting Disease Outcomes. | Juliette Valenchon, Mark Coates |
| 2019 | ICDM | Multi-graph Convolution Collaborative Filtering. | Jianing Sun, Yingxue Zhang, Chen Ma, Mark Coates, Huifeng Guo, Ruiming Tang, Xiuqiang He |
| 2018 | ICASSP | Particle Flow Particle Filter for Gaussian Mixture Noise Models. | Soumyasundar Pal, Mark Coates |
| 2018 | IROS | Cost Adaptation for Robust Decentralized Swarm Behaviour. | Peter Henderson, Matthew Vertescher, David Meger, Mark Coates |
| 2017 | ICASSP | Sequential MCMC with invertible particle flow. | Yunpeng Li, Mark Coates |
| 2017 | ICASSP | Particle flow SMC delta-GLMB filter. | Augustin-Alexandru Saucan, Yunpeng Li, Mark Coates |
| 2016 | FUSION | Fast particle flow particle filters via clustering. | Yunpeng Li, Mark Coates |
| 2016 | ICASSP | Particle flow for particle filtering. | Yunpeng Li, Lingling Zhao, Mark Coates |
| 2016 | ICASSP | Distributed multi-sensor CPHD filter using pairwise gossiping. | Jun Ye Yu, Mark Coates, Michael G. Rabbat |
| 2015 | FUSION | Comparison of angle-only filtering algorithms in 3D using EKF, UKF, PF, PFF, and ensemble KF. | Syamantak Datta Gupta, Jun Ye Yu, Mahendra Mallick, Mark Coates, Mark R. Morelande |
| 2015 | ICASSP | Cost-sensitive ensemble classifiers for microwave breast cancer detection. | Yunpeng Li, Adam Santorelli, Olivier Laforest, Mark Coates |
| 2015 | ICASSP | General solution and approximate implementation of the multisensor multitarget CPHD filter. | Santosh Nannuru, Mark Coates, Michael G. Rabbat, Stphane Blouin |
| 2015 | ICASSP | Online time-dependent clustering using probabilistic topic models. | Benjamin Renard, Milad Kharratzadeh, Mark Coates |
| 2014 | WiMob | Opportunistic networks: Minimizing expected latency. | Shohreh Shaghaghian, Mark Coates |
| 2013 | ACSSC | Distributed underwater acoustic source localization and tracking. | Jun Ye Yu, Deniz stebay, Stphane Blouin, Michael G. Rabbat, Mark Coates |
| 2013 | FUSION | Multi-Bernoulli filter for superpositional sensors. | Santosh Nannuru, Mark Coates |
| 2012 | ICWSM | Weblog Analysis for Predicting Correlations in Stock Price Evolutions. | Milad Kharratzadeh, Mark Coates |
| 2011 | FUSION | Multi-target tracking for measurement models with additive contributions. | Frederic Thouin, Santosh Nannuru, Mark Coates |
| 2011 | ICASSP | Sequential Monte Carlo Radio-Frequency tomographic tracking. | Yunpeng Li, Xi Chen, Mark Coates, Bo Yang |
| 2011 | ICASSP | Distributed auxiliary particle filters using selective gossip. | Deniz stebay, Mark Coates, Michael G. Rabbat |
| 2009 | FUSION | Multi-hop Greedy Gossip with Eavesdropping. | Deniz stebay, Boris N. Oreshkin, Mark Coates, Michael G. Rabbat |
| 2009 | ICASSP | The speed of greed: Characterizing myopic gossip through network voracity. | Deniz stebay, Boris N. Oreshkin, Mark Coates, Michael G. Rabbat |
| 2009 | INFOCOM | Controlling False Alarm/Discovery Rates in Online Internet Traffic Flow Classification. | Daniel Nechay, Yvan Pointurier, Mark Coates |
| 2008 | FUSION | Weak sense Lp error bounds for leader-node distributed particle filters. | Boris N. Oreshkin, Mark Coates |
| 2008 | ICASSP | Distributed average consensus with increased convergence rate. | Boris N. Oreshkin, Tuncer C. Aysal, Mark Coates |
| 2008 | ICASSP | Learning to satisfy. | Frederic Thouin, Mark Coates, Brian Eriksson, Robert D. Nowak, Clayton D. Scott |
| 2007 | IMC | Compressed network monitoring for ip and all-optical networks. | Mark Coates, Yvan Pointurier, Michael G. Rabbat |
| 2007 | INFOCOM | Multivariate Online Anomaly Detection Using Kernel Recursive Least Squares. | Tarem Ahmed, Mark Coates, Anukool Lakhina |
| 2007 | ISCC | Feedback Control System for Scheduling of Wide-Area All-Photonic Networks. | Nahid Saberi, Mark Coates |
| 2006 | Broadnets | Minimum Rejection Scheduling in All-Photonic Networks. | Nahid Saberi, Mark Coates |
| 2006 | INFOCOM | Epidemiological Modelling of Peer-to-Peer Viruses and Pollution. | Richard W. Thommes, Mark Coates |
| 2006 | NCA | Video-on-Demand Equipment Allocation. | Frederic Thouin, Mark Coates, Dominic Goodwill |
| 2005 | ICASSP | Evaluating causal relationships in wireless sensor/actuator networks. | Mark Coates |
| 2004 | ICASSP | Evaluating average causal effect using wireless sensor networks. | Mark Coates, Ioannis N. Psaromiligkos |
| 2004 | INFOCOM | Multiple Source, Multiple Destination Network Tomography. | Michael G. Rabbat, Robert D. Nowak, Mark Coates |
| 2004 | INFOCOM | Deterministic Packet Marking for Congestion Price Estimation. | Richard W. Thommes, Mark Coates |
| 2003 | IMC | Merging logical topologies using end-to-end measurements. | Mark Coates, Michael G. Rabbat, Robert D. Nowak |
| 2002 | ICASSP | Nonparametric internet tomography. | Yolanda Tsang, Mark Coates, Robert D. Nowak |
| 2002 | SIGMETRICS | Maximum likelihood network topology identification from edge-based unicast measurements. | Mark Coates, Rui M. Castro, Robert D. Nowak, Manik Gadhiok, Ryan King, Yolanda Tsang |
| 2001 | ICASSP | Network tomography for internal delay estimation. | Mark Coates, Robert D. Nowak |
| 2001 | ICASSP | Passive network tomography using EM algorithms. | Yolanda Tsang, Mark Coates, Robert D. Nowak |
| 2000 | ICASSP | Hybrid linear/quadratic time-frequency attributes. | Richard G. Baraniuk, Mark Coates, Philippe Steeghs |
| 2000 | ICASSP | Time-frequency signal decomposition using energy mixture models. | Mark Coates, William J. Fitzgerald |
| 2000 | ICIP | Non-Redundant, Directionally Selective, Complex Wavelets. | Rutger L. van Spaendonck, Felix C. A. Fernandes, Mark Coates, C. Sidney Burrus |