Regionally optimised kernels for time-frequency distributions. - Mark J. Coates; Christophe G. Molina; William J. Fitzgerald 001 (ICASSP, 1998)

Sequential Bayesian wavelet denoising. - Mark J. Coates; Arnaud Doucet (ISSPA, 1999)

Regionally optimised time-frequency distributions using finite mixture models. - M. J. Coates; William J. Fitzgerald 001 (Signal Process., 1999)

Time-frequency signal decomposition using energy mixture models. - Mark Coates; William J. Fitzgerald 001 (ICASSP, 2000)

Non-Redundant, Directionally Selective, Complex Wavelets. - Rutger L. van Spaendonck; Felix C. A. Fernandes; Mark Coates; C. Sidney Burrus (ICIP, 2000)

Network tomography for internal delay estimation. - Mark Coates; Robert D. Nowak (ICASSP, 2001)

Passive network tomography using EM algorithms. - Yolanda Tsang; Mark Coates; Robert D. Nowak (ICASSP, 2001)

Hybrid linear/quadratic time-frequency attributes. - Richard G. Baraniuk; Mark Coates; Philippe Steeghs (IEEE Trans. Signal Process., 2001)

Nonparametric internet tomography. - Yolanda Tsang; Mark Coates; Robert D. Nowak (ICASSP, 2002)

Maximum likelihood network topology identification from edge-based unicast measurements. - Mark Coates; Rui M. Castro; Robert D. Nowak; Manik Gadhiok; Ryan King; Yolanda Tsang (SIGMETRICS, 2002)

Time-frequency-based detection in impulsive noise environments using alpha-stable noise models. - M. J. Coates; Ercan E. Kuruoglu (Signal Process., 2002)

Internet tomography. - Mark Coates; Alfred O. Hero III; Robert D. Nowak; Bin Yu 001 (IEEE Signal Process. Mag., 2002)

Sequential Monte Carlo inference of internal delays in nonstationary data networks. - Mark Coates; Robert D. Nowak (IEEE Trans. Signal Process., 2002)

Merging logical topologies using end-to-end measurements. - Mark Coates; Michael G. Rabbat; Robert D. Nowak (Internet Measurement Conference, 2003)

Network delay tomography. - Yolanda Tsang; Mark Coates; Robert D. Nowak (IEEE Trans. Signal Process., 2003)

Evaluating average causal effect using wireless sensor networks. - Mark Coates; Ioannis N. Psaromiligkos (ICASSP (3), 2004)

Multiple Source, Multiple Destination Network Tomography. - Michael G. Rabbat; Robert D. Nowak; Mark Coates (INFOCOM, 2004)

Deterministic Packet Marking for Congestion Price Estimation. - Richard W. Thommes; Mark Coates (INFOCOM, 2004)

Distributed particle filters for sensor networks. - Mark Coates (IPSN, 2004)

Likelihood based hierarchical clustering. - Rui M. Castro; Mark Coates; Robert D. Nowak (IEEE Trans. Signal Process., 2004)

Evaluating causal relationships in wireless sensor/actuator networks. - Mark Coates (ICASSP (5), 2005)

Minimum Rejection Scheduling in All-Photonic Networks. - Nahid Saberi; Mark Coates (BROADNETS, 2006)

Epidemiological Modelling of Peer-to-Peer Viruses and Pollution. - Richard W. Thommes; Mark Coates (INFOCOM, 2006)

Optimal Actuation Strategies for Sensor/Actuator Networks. - Frederic Thouin; Richard W. Thommes; Mark J. Coates (MobiQuitous, 2006)

Video-on-Demand Equipment Allocation. - Frederic Thouin; Mark Coates; Dominic Goodwill (NCA, 2006)

Fair Matching Algorithm: Fixed-Length Frame Scheduling in All-Photonic Networks. - Nahid Saberi; Mark Coates (Wireless and Optical Communications, 2006)

Multiple-Source Internet Tomography. - Michael G. Rabbat; Mark Coates; Robert D. Nowak (IEEE J. Sel. Areas Commun., 2006)

Deterministic packet marking for time-varying congestion price estimation. - Richard W. Thommes; Mark Coates (IEEE/ACM Trans. Netw., 2006)

Compressed network monitoring for ip and all-optical networks. - Mark Coates; Yvan Pointurier; Michael G. Rabbat (Internet Measurement Conference, 2007)

Multivariate Online Anomaly Detection Using Kernel Recursive Least Squares. - Tarem Ahmed; Mark Coates; Anukool Lakhina (INFOCOM, 2007)

Feedback Control System for Scheduling of Wide-Area All-Photonic Networks. - Nahid Saberi; Mark Coates (ISCC, 2007)

Video-on-Demand Server Selection and Placement. - Frederic Thouin; Mark Coates (ITC, 2007)

Video-on-Demand Networks: Design Approaches and Future Challenges. - Frederic Thouin; Mark Coates (IEEE Netw., 2007)

Rates of convergence for greedy gossip with eavesdropping. - Deniz Üstebay; Boris N. Oreshkin; Mark Coates; Michael G. Rabbat (Allerton, 2008)

Weak sense Lp error bounds for leader-node distributed particle filters. - Boris N. Oreshkin; Mark Coates (FUSION, 2008)

Distributed average consensus with increased convergence rate. - Boris N. Oreshkin; Tuncer C. Aysal; Mark Coates (ICASSP, 2008)

Learning to satisfy. - Frederic Thouin; Mark Coates; Brian Eriksson; Robert D. Nowak; Clayton D. Scott (ICASSP, 2008)

Greedy gossip with eavesdropping. - Deniz Üstebay; Mark Coates; Michael G. Rabbat (ISWPC, 2008)

Equipment allocation in video-on-demand network deployments. - Frederic Thouin; Mark Coates (ACM Trans. Multim. Comput. Commun. Appl., 2008)

Distributed Average Consensus With Dithered Quantization. - Tuncer C. Aysal; Mark Coates; Michael G. Rabbat (IEEE Trans. Signal Process., 2008)

Optimization and analysis of distributed averaging with memory. - Boris N. Oreshkin; Mark J. Coates; Michael G. Rabbat (Allerton, 2009)

Multi-hop Greedy Gossip with Eavesdropping. - Deniz Üstebay; Boris N. Oreshkin; Mark Coates; Michael G. Rabbat (FUSION, 2009)

The speed of greed: Characterizing myopic gossip through network voracity. - Deniz Üstebay; Boris N. Oreshkin; Mark Coates; Michael G. Rabbat (ICASSP, 2009)

Controlling False Alarm/Discovery Rates in Online Internet Traffic Flow Classification. - Daniel Nechay; Yvan Pointurier; Mark Coates (INFOCOM, 2009)

Scheduling in overlaid star all-photonic networks with large propagation delays. - Nahid Saberi; Mark Coates (Photonic Netw. Commun., 2009)

Accelerated Distributed Average Consensus via Localized Node State Prediction. - Tuncer C. Aysal; Boris N. Oreshkin; M. J. Coates (IEEE Trans. Signal Process., 2009)

Efficient delay-tolerant particle filtering through selective processing of out-of-sequence measurements. - Xuan Liu; Boris N. Oreshkin; M. J. Coates (FUSION, 2010)

Asynchronous distributed particle filter via decentralized evaluation of Gaussian products. - Boris N. Oreshkin; M. J. Coates (FUSION, 2010)

Multi-path Probabilistic Available Bandwidth Estimation through Bayesian Active Learning - Frederic Thouin; Mark Coates; Michael G. Rabbat (CoRR, 2010)

Real-Time Multi-path Tracking of Probabilistic Available Bandwidth - Frederic Thouin; Mark Coates; Michael G. Rabbat (CoRR, 2010)

Optimization and analysis of distributed averaging with short node memory. - Boris N. Oreshkin; Mark Coates; Michael G. Rabbat (IEEE Trans. Signal Process., 2010)

Greedy gossip with eavesdropping. - Deniz Üstebay; Boris N. Oreshkin; Mark Coates; Michael G. Rabbat (IEEE Trans. Signal Process., 2010)

Multi-target tracking for measurement models with additive contributions. - Frederic Thouin; Santosh Nannuru; Mark Coates (FUSION, 2011)

Sequential Monte Carlo Radio-Frequency tomographic tracking. - Yunpeng Li 001; Xi Chen 042; Mark Coates; Bo Yang (ICASSP, 2011)

Distributed auxiliary particle filters using selective gossip. - Deniz Üstebay; Mark Coates; Michael G. Rabbat (ICASSP, 2011)

Sequential Monte Carlo for simultaneous passive device-free tracking and sensor localization using received signal strength measurements. - Xi Chen 042; Andrea Edelstein; Yunpeng Li 001; Mark Coates; Michael G. Rabbat; Aidong Men (IPSN, 2011)

Fusing microwave radar and microwave-induced thermoacoustics for breast cancer detection. - Evgeny Kirshin; Boris N. Oreshkin; Kevin Guangran Zhu; Milica Popovic; Mark Coates (ISBI, 2011)

Large scale probabilistic available bandwidth estimation. - Frederic Thouin; Mark Coates; Michael G. Rabbat (Comput. Networks, 2011)

GANC: Greedy Agglomerative Normalized Cut - Seyed Salim Tabatabaei; Mark Coates; Michael G. Rabbat (CoRR, 2011)

Cross-Layer Monitoring in Transparent Optical Networks. - Yvan Pointurier; Mark Coates; Michael G. Rabbat (JOCN, 2011)

Introduction to the Issue on Gossiping Algorithms Design and Applications. - Anna Scaglione; Mark Coates; Michael Gastpar; John N. Tsitsiklis; Martin Vetterli (IEEE J. Sel. Top. Signal Process., 2011)

Efficient Delay-Tolerant Particle Filtering. - Boris N. Oreshkin; Xuan Liu; M. J. Coates (IEEE Trans. Signal Process., 2011)

An energy-efficiency assessment of Content Centric Networking (CCN). - Muhammad Rizwan Butt; Oscar Delgado; Mark Coates (CCECE, 2012)

Recent progress in ultra-wideband microwave breast cancer detection. - Simone Angela Winkler; Emily Porter; Adam Santorelli; Mark Coates; Milica Popovic (ICUWB, 2012)

Weblog Analysis for Predicting Correlations in Stock Price Evolutions. - Milad Kharratzadeh; Mark Coates (ICWSM, 2012)

Implementation of the Daum-Huang exact-flow particle filter. - Tao Ding; Mark J. Coates (SSP, 2012)

GANC: Greedy agglomerative normalized cut for graph clustering. - Seyed Salim Tabatabaei; Mark Coates; Michael G. Rabbat (Pattern Recognit., 2012)

Distributed underwater acoustic source localization and tracking. - Jun Ye Yu; Deniz Üstebay; Stéphane Blouin; Michael G. Rabbat; Mark Coates (ACSSC, 2013)

Particle filter implementation of the multi-Bernoulli filter for superpositional sensors. - Santosh Nannuru; Mark Coates (CAMSAP, 2013)

Multi-Bernoulli filter for superpositional sensors. - Santosh Nannuru; Mark Coates (FUSION, 2013)

Contact graph based routing in opportunistic networks. - Divya Alok Sharma; Mark Coates (GlobalSIP, 2013)

Content Distribution Strategies in Opportunistic Networks. - Syed Haani Masood; Syed Ali Raza 003; Mark Coates (CoRR, 2013)

Computationally-Tractable Approximate PHD and CPHD Filters for Superpositional Sensors. - Santosh Nannuru; Mark Coates; Ronald P. S. Mahler (IEEE J. Sel. Top. Signal Process., 2013)

Microwave Radar and Microwave-Induced Thermoacoustics: Dual-Modality Approach for Breast Cancer Detection. - Evgeny Kirshin; Boris N. Oreshkin; Kevin Guangran Zhu; Milica Popovic; Mark Coates (IEEE Trans. Biomed. Eng., 2013)

Radio-Frequency Tomography for Passive Indoor Multitarget Tracking. - Santosh Nannuru; Yunpeng Li 001; Yan Zeng; Mark Coates; Bo Yang (IEEE Trans. Mob. Comput., 2013)

Distributed ensemble Kalman filtering. - Arslan Shahid; Deniz Üstebay; Mark Coates (SAM, 2014)

Opportunistic networks: Minimizing expected latency. - Shohreh Shaghaghian; Mark Coates (WiMob, 2014)

Particle flow auxiliary particle filter. - Yunpeng Li 001; Lingling Zhao; Mark Coates (CAMSAP, 2015)

Performance investigation on constraint sufficient statistics distributed particle filter. - Jun Ye Yu; Michael G. Rabbat; Mark Coates; Stéphane Blouin (CCECE, 2015)

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 (FUSION, 2015)

Cost-sensitive ensemble classifiers for microwave breast cancer detection. - Yunpeng Li 001; Adam Santorelli; Olivier Laforest; Mark Coates (ICASSP, 2015)

General solution and approximate implementation of the multisensor multitarget CPHD filter. - Santosh Nannuru; Mark Coates; Michael G. Rabbat; Stéphane Blouin (ICASSP, 2015)

Online time-dependent clustering using probabilistic topic models. - Benjamin Renard; Milad Kharratzadeh; Mark Coates (ICASSP, 2015)

Bayesian topic model approaches to online and time-dependent clustering. - Milad Kharratzadeh; Benjamin Renard; Mark J. Coates (Digit. Signal Process., 2015)

Hybrid multi-Bernoulli and CPHD filters for superpositional sensors. - Santosh Nannuru; Mark Coates (IEEE Trans. Aerosp. Electron. Syst., 2015)

Error Propagation in Gossip-Based Distributed Particle Filters. - Syamantak Datta Gupta; Mark Coates; Michael G. Rabbat (IEEE Trans. Signal Inf. Process. over Networks, 2015)

Optimal Forwarding in Opportunistic Delay Tolerant Networks With Meeting Rate Estimations. - Shohreh Shaghaghian; Mark Coates (IEEE Trans. Signal Inf. Process. over Networks, 2015)

Graph Laplacian distributed particle filtering. - Michael G. Rabbat; Mark Coates; Stéphane Blouin (EUSIPCO, 2016)

Fast particle flow particle filters via clustering. - Yunpeng Li 001; Mark Coates (FUSION, 2016)

Particle flow for particle filtering. - Yunpeng Li 001; Lingling Zhao; Mark Coates (ICASSP, 2016)

Distributed multi-sensor CPHD filter using pairwise gossiping. - Jun Ye Yu; Mark Coates; Michael G. Rabbat (ICASSP, 2016)

Sparse multivariate factor regression. - Milad Kharratzadeh; Mark Coates (SSP, 2016)

Order-based generalized multivariate regression. - Milad Kharratzadeh; Mark Coates (SSP, 2016)

Bayesian inference of diffusion networks with unknown infection times. - Shohreh Shaghaghian; Mark Coates (SSP, 2016)

A Distributed Particle Filter for Bearings-Only Tracking on Spherical Surfaces. - Jun Ye Yu; Mark J. Coates; Michael G. Rabbat; Stéphane Blouin (IEEE Signal Process. Lett., 2016)

Multisensor CPHD filter. - Santosh Nannuru; Stéphane Blouin; Mark Coates; Michael G. Rabbat (IEEE Trans. Aerosp. Electron. Syst., 2016)

An Early Clinical Study of Time-Domain Microwave Radar for Breast Health Monitoring. - Emily Porter; Mark Coates; Milica Popovic (IEEE Trans. Biomed. Eng., 2016)

Gaussian sum particle flow filter. - Soumyasundar Pal; Mark Coates (CAMSAP, 2017)

Algorithms for the multi-sensor assignment problem in the δ-generalized labeled multi-Bernoulli filter. - Jun Ye Yu; Augustin-Alexandru Saucan; Mark Coates; Michael G. Rabbat (CAMSAP, 2017)

Sequential MCMC with invertible particle flow. - Yunpeng Li 001; Mark Coates (ICASSP, 2017)

Particle flow SMC delta-GLMB filter. - Augustin-Alexandru Saucan; Yunpeng Li 001; Mark Coates (ICASSP, 2017)

Microwave breast cancer detection via cost-sensitive ensemble classifiers: Phantom and patient investigation. - Yunpeng Li 001; Emily Porter; Adam Santorelli; Milica Popovic; Mark Coates (Biomed. Signal Process. Control., 2017)

Semi-parametric order-based generalized multivariate regression. - Milad Kharratzadeh; Mark Coates (J. Multivar. Anal., 2017)

Online Bayesian Inference of Diffusion Networks. - Shohreh Shaghaghian; Mark Coates (IEEE Trans. Signal Inf. Process. over Networks, 2017)

Particle Filtering With Invertible Particle Flow. - Yunpeng Li 001; Mark Coates (IEEE Trans. Signal Process., 2017)

A Multisensor Multi-Bernoulli Filter. - Augustin-Alexandru Saucan; Mark J. Coates; Michael G. Rabbat (IEEE Trans. Signal Process., 2017)

Particle Flow Particle Filter for Gaussian Mixture Noise Models. - Soumyasundar Pal; Mark Coates (ICASSP, 2018)

Cost Adaptation for Robust Decentralized Swarm Behaviour. - Peter Henderson 002; Matthew Vertescher; David Meger; Mark Coates (IROS, 2018)

Sequential MCMC With The Discrete Bouncy Particle Sampler. - Soumyasundar Pal; Mark Coates (SSP, 2018)

Bayesian Graph Convolutional Neural Networks for Semi-Supervised Classification. - Yingxue Zhang 001; Soumyasundar Pal; Mark Coates; Deniz Üstebay (AAAI, 2019)

Particle Flow Particle Filter using Gromov's method. - Soumyasundar Pal; Mark Coates (CAMSAP, 2019)

Node Copying for Protection Against Graph Neural Network Topology Attacks. - Florence Regol; Soumyasundar Pal; Mark Coates (CAMSAP, 2019)

Microwave Radar for Breast Screening: Initial Clinical Data with Suspicious-Lesion Patients. - Lena Kranold; Collin Quintyne; Mark Coates; Milica Popovic (EMBC, 2019)

Scalable MCMC in Degree Corrected Stochastic Block Model. - Soumyasundar Pal; Mark Coates (ICASSP, 2019)

Multiple-graph Recurrent Graph Convolutional Neural Network Architectures for Predicting Disease Outcomes. - Juliette Valenchon; Mark Coates (ICASSP, 2019)

Multi-graph Convolution Collaborative Filtering. - Jianing Sun; Yingxue Zhang 001; Chen Ma 001; Mark Coates; Huifeng Guo; Ruiming Tang; Xiuqiang He 001 (ICDM, 2019)

Learning Gaussian Graphical Models with Ordered Weighted L1 Regularization. - Cody Mazza-Anthony; Bogdan Mazoure; Mark Coates (CoRR, 2019)

Bayesian Graph Convolutional Neural Networks Using Non-Parametric Graph Learning. - Soumyasundar Pal; Florence Regol; Mark J. Coates (CoRR, 2019)

Bayesian Graph Convolutional Neural Networks using Node Copying. - Soumyasundar Pal; Florence Regol; Mark Coates (CoRR, 2019)

Graph-Based Compression for Distributed Particle Filters. - Jun Ye Yu; Mark J. Coates; Michael G. Rabbat (IEEE Trans. Signal Inf. Process. over Networks, 2019)

Invertible Particle-Flow-Based Sequential MCMC With Extension to Gaussian Mixture Noise Models. - Yunpeng Li 001; Soumyasundar Pal; Mark J. Coates (IEEE Trans. Signal Process., 2019)

Memory Augmented Graph Neural Networks for Sequential Recommendation. - Chen Ma 001; Liheng Ma; Yingxue Zhang 001; Jianing Sun; Xue Liu 001; Mark Coates (AAAI, 2020)

Learning from Networks of Distributions. - Antonios Valkanas; Florence Regol; Mark Coates (ACSSC, 2020)

GraphSAIL: Graph Structure Aware Incremental Learning for Recommender Systems. - Yishi Xu; Yingxue Zhang 001; Wei Guo 006; Huifeng Guo; Ruiming Tang; Mark Coates (CIKM, 2020)

End-to-end Physical Layer Communication using Bi-directional GRUs for ISI Channels. - Huihui Wu; Yitian Zhang; Xueqing Zhao; Ningbo Zhu; Mark Coates (GLOBECOM (Workshops), 2020)

Active Learning on Attributed Graphs via Graph Cognizant Logistic Regression and Preemptive Query Generation. - Florence Regol; Soumyasundar Pal; Yingxue Zhang 001; Mark Coates (ICML, 2020)

Probabilistic Metric Learning with Adaptive Margin for Top-K Recommendation. - Chen Ma 001; Liheng Ma; Yingxue Zhang 001; Ruiming Tang; Xue Liu 001; Mark Coates (KDD, 2020)

A Framework for Recommending Accurate and Diverse Items Using Bayesian Graph Convolutional Neural Networks. - Jianing Sun; Wei Guo 006; Dengcheng Zhang; Yingxue Zhang 001; Florence Regol; Yaochen Hu 001; Huifeng Guo; Ruiming Tang; Han Yuan; Xiuqiang He 001; Mark Coates (KDD, 2020)

Neighbor Interaction Aware Graph Convolution Networks for Recommendation. - Jianing Sun; Yingxue Zhang 001; Wei Guo 006; Huifeng Guo; Ruiming Tang; Xiuqiang He 001; Chen Ma 001; Mark Coates (SIGIR, 2020)

A Tripartite Theory of Trustworthiness for Autonomous Systems. - Yingxu Wang 001; Svetlana N. Yanushkevich; Ming Hou 002; Konstantinos N. Plataniotis; Mark Coates; Marina L. Gavrilova; Yaoping Hu; Fakhri Karray; Henry Leung; Arash Mohammadi 001; Sam Kwong; Edward W. Tunstel; et al. (SMC, 2020)

Non Parametric Graph Learning for Bayesian Graph Neural Networks. - Soumyasundar Pal; Saber Malekmohammadi; Florence Regol; Yingxue Zhang 001; Yishi Xu; Mark Coates (UAI, 2020)

GraphSeam: Supervised Graph Learning Framework for Semantic UV Mapping. - Fatemeh Teimury; Bruno Roy; Juan Sebastián Casallas; David MacDonald; Mark Coates (CoRR, 2020)

Knowledge-Enhanced Top-K Recommendation in Poincaré Ball. - Chen Ma 001; Liheng Ma; Yingxue Zhang 001; Haolun Wu; Xue Liu 001; Mark Coates (AAAI, 2021)

FC-GAGA: Fully Connected Gated Graph Architecture for Spatio-Temporal Traffic Forecasting. - Boris N. Oreshkin; Arezou Amini; Lucy Coyle; Mark Coates (AAAI, 2021)

Detection and Defense of Topological Adversarial Attacks on Graphs. - Yingxue Zhang 001; Florence Regol; Soumyasundar Pal; Sakif Khan; Liheng Ma; Mark Coates (AISTATS, 2021)

Structure Aware Experience Replay for Incremental Learning in Graph-based Recommender Systems. - Kian Ahrabian; Yishi Xu; Yingxue Zhang 001; Jiapeng Wu; Yuening Wang; Mark Coates (CIKM, 2021)

Graph Structure Aware Contrastive Knowledge Distillation for Incremental Learning in Recommender Systems. - Yuening Wang; Yingxue Zhang 001; Mark Coates (CIKM, 2021)

Generalizable Cross-Graph Embedding for GNN-based Congestion Prediction. - Amur Ghose; Vincent Zhang; Yingxue Zhang 001; Dong Li 016; Wulong Liu; Mark Coates (ICCAD, 2021)

RNN with Particle Flow for Probabilistic Spatio-temporal Forecasting. - Soumyasundar Pal; Liheng Ma; Yingxue Zhang 001; Mark Coates (ICML, 2021)

TIE: A Framework for Embedding-based Incremental Temporal Knowledge Graph Completion. - Jiapeng Wu; Yishi Xu; Yingxue Zhang 001; Chen Ma 001; Mark Coates; Jackie Chi Kit Cheung (SIGIR, 2021)

Learning Gaussian Graphical Models With Ordered Weighted $ ell _1$ Regularization. - Cody Mazza-Anthony; Bogdan Mazoure; Mark Coates (IEEE Trans. Signal Process., 2021)

Bag Graph: Multiple Instance Learning Using Bayesian Graph Neural Networks. - Soumyasundar Pal; Antonios Valkanas; Florence Regol; Mark Coates (AAAI, 2022)

Towards Bayesian Learning of the Architecture, Graph and Parameters for Graph Neural Networks. - Antonios Valkanas; André-Walter Panzini; Mark Coates (IEEECONF, 2022)

Adapting Triplet Importance of Implicit Feedback for Personalized Recommendation. - Haolun Wu; Chen Ma 001; Yingxue Zhang 001; Xue Liu 001; Ruiming Tang; Mark Coates (CIKM, 2022)

Contrastive Learning for Time Series on Dynamic Graphs. - Yitian Zhang; Florence Regol; Antonios Valkanas; Mark Coates (EUSIPCO, 2022)

Multi-Relation Message Passing for Multi-Label Text Classification. - Muberra Ozmen; Hao Zhang 097; Pengyun Wang; Mark Coates (ICASSP, 2022)

Bidirectional Learning for Offline Infinite-width Model-based Optimization. - Can Chen 005; Yingxue Zhang 001; Jie Fu 001; Xue (Steve) Liu; Mark Coates (NeurIPS, 2022)

Motion Inbetweening via Deep Δ-Interpolator. - Boris N. Oreshkin; Antonios Valkanas; Félix G. Harvey; Louis-Simon Ménard; Florent Bocquelet; Mark J. Coates (CoRR, 2022)

Spectral image clustering on dual-energy CT scans using functional regression mixtures. - Segolene Brivet; Faicel Chamroukhi; Mark Coates; Reza Forghani; Peter Savadjiev (CoRR, 2022)

DyG2Vec: Representation Learning for Dynamic Graphs with Self-Supervision. - Mohammad Ali Alomrani; Mahdi Biparva; Yingxue Zhang 001; Mark Coates (CoRR, 2022)

Node copying: A random graph model for effective graph sampling. - Florence Regol; Soumyasundar Pal; Jianing Sun; Yingxue Zhang 001; Yanhui Geng; Mark Coates (Signal Process., 2022)

On the Design of Channel Coding Autoencoders With Arbitrary Rates for ISI Channels. - Yitian Zhang; Huihui Wu; Mark Coates (IEEE Wirel. Commun. Lett., 2022)

Neighbor Auto-Grouping Graph Neural Networks for Handover Parameter Configuration in Cellular Network. - Mehrtash Mehrabi; Walid Masoudimansour; Yingxue Zhang 001; Jie Chuai; Zhitang Chen; Mark Coates; Jianye Hao; Yanhui Geng (AAAI, 2023)

Diffusing Gaussian Mixtures for Generating Categorical Data. - Florence Regol; Mark Coates (AAAI, 2023)

Structure Aware Incremental Learning with Personalized Imitation Weights for Recommender Systems. - Yuening Wang; Yingxue Zhang 001; Antonios Valkanas; Ruiming Tang; Chen Ma 001; Jianye Hao; Mark Coates (AAAI, 2023)

Spectral Augmentations for Graph Contrastive Learning. - Amur Ghose; Yingxue Zhang 001; Jianye Hao; Mark Coates (AISTATS, 2023)

Substituting Data Annotation with Balanced Neighbourhoods and Collective Loss in Multi-label Text Classification. - Muberra Ozmen; Joseph Cotnareanu; Mark Coates (CoLLAs, 2023)

Evaluation of Categorical Generative Models - Bridging the Gap Between Real and Synthetic Data. - Florence Regol; Anja Kroon; Mark Coates (ICASSP, 2023)

Performing Neural Architecture Search Without Gradients. - Pavel Rumiantsev; Mark Coates (ICASSP, 2023)

Intent-aware Multi-source Contrastive Alignment for Tag-enhanced Recommendation. - Haolun Wu; Yingxue Zhang 001; Chen Ma 001; Wei Guo 006; Ruiming Tang; Xue Liu 001; Mark Coates (ICDE, 2023)

Bidirectional Learning for Offline Model-based Biological Sequence Design. - Can Chen 005; Yingxue Zhang 001; Xue Liu 001; Mark Coates (ICML, 2023)

Graph Inductive Biases in Transformers without Message Passing. - Liheng Ma; Chen Lin 003; Derek Lim; Adriana Romero-Soriano; Puneet K. Dokania; Mark Coates; Philip H. S. Torr; Ser-Nam Lim (ICML, 2023)

Neural Graph Generation from Graph Statistics. - Kiarash Zahirnia; Yaochen Hu 001; Mark Coates; Oliver Schulte (NeurIPS, 2023)

Substituting Data Annotation with Balanced Updates and Collective Loss in Multi-label Text Classification. - Muberra Ozmen; Joseph Cotnareanu; Mark Coates (CoRR, 2023)

Jointly-Learned Exit and Inference for a Dynamic Neural Network : JEI-DNN. - Florence Regol; Joud Chataoui; Mark Coates (CoRR, 2023)

Categorical Generative Model Evaluation via Synthetic Distribution Coarsening. - Florence Regol; Mark Coates (AISTATS, 2024)

Multi-resolution Time-Series Transformer for Long-term Forecasting. - Yitian Zhang; Liheng Ma; Soumyasundar Pal; Yingxue Zhang 001; Mark Coates (AISTATS, 2024)

Enhancing Click-through Rate Prediction in Recommendation Domain with Search Query Representation. - Yuening Wang; Man Chen; Yaochen Hu 001; Wei Guo 006; Yingxue Zhang 001; Huifeng Guo; Yong Liu 020; Mark Coates (CIKM, 2024)

Jointly-Learned Exit and Inference for a Dynamic Neural Network. - Florence Regol; Joud Chataoui; Mark Coates (ICLR, 2024)

CKGConv: General Graph Convolution with Continuous Kernels. - Liheng Ma; Soumyasundar Pal; Yitian Zhang; Jiaming Zhou; Yingxue Zhang 001; Mark Coates (ICML, 2024)

Interacting Diffusion Processes for Event Sequence Forecasting. - Mai Zeng; Florence Regol; Mark Coates (ICML, 2024)

GraSS: Combining Graph Neural Networks with Expert Knowledge for SAT Solver Selection. - Zhanguang Zhang; Didier Chételat; Joseph Cotnareanu; Amur Ghose; Wenyi Xiao; Hui-Ling Zhen; Yingxue Zhang 001; Jianye Hao; Mark Coates; Mingxuan Yuan (KDD, 2024)

HardCore Generation: Generating Hard UNSAT Problems for Data Augmentation. - Joseph Cotnareanu; Zhanguang Zhang; Hui-Ling Zhen; Yingxue Zhang 001; Mark Coates (NeurIPS, 2024)

Predicting Probabilities of Error to Combine Quantization and Early Exiting: QuEE. - Florence Regol; Joud Chataoui; Bertrand Charpentier; Mark Coates; Pablo Piantanida; Stephan Günnemann (CoRR, 2024)

Enhancing Logical Reasoning in Large Language Models through Graph-based Synthetic Data. - Jiaming Zhou; Abbas Ghaddar; Ge Zhang; Liheng Ma; Yaochen Hu 001; Soumyasundar Pal; Mark Coates; Bin Wang 034; Yingxue Zhang 001; Jianye Hao (CoRR, 2024)

Dynamic layer selection in decoder-only transformers. - Theodore Glavas; Joud Chataoui; Florence Regol; Wassim Jabbour; Antonios Valkanas; Boris N. Oreshkin; Mark Coates (CoRR, 2024)

Enhancing CTR Prediction in Recommendation Domain with Search Query Representation. - Yuening Wang; Chen Ma 001; Yaochen Hu 001; Wei Guo 006; Yingxue Zhang 001; Huifeng Guo; Yong Liu 020; Mark Coates (CoRR, 2024)

Differentially private and decentralized randomized power method. - Julien Nicolas; César Sabater; Mohamed Maouche; Sonia Ben Mokhtar; Mark Coates (CoRR, 2024)

Hint Marginalization for Improved Reasoning in Large Language Models. - Soumyasundar Pal; Didier Chételat; Yingxue Zhang 001; Mark Coates (CoRR, 2024)

Path-of-Thoughts: Extracting and Following Paths for Robust Relational Reasoning with Large Language Models. - Ge Zhang; Mohammad Ali Alomrani; Hongjian Gu; Jiaming Zhou; Yaochen Hu 001; Bin Wang 034; Qun Liu 001; Mark Coates; Yingxue Zhang 001; Jianye Hao (CoRR, 2024)

Population Monte Carlo With Normalizing Flow. - Soumyasundar Pal; Antonios Valkanas; Mark Coates (IEEE Signal Process. Lett., 2024)

DyG2Vec: Efficient Representation Learning for Dynamic Graphs. - Mohammad Ali Alomrani; Mahdi Biparva; Yingxue Zhang 001; Mark Coates (Trans. Mach. Learn. Res., 2024)

Graph Knowledge Distillation to Mixture of Experts. - Pavel Rumiantsev; Mark Coates (Trans. Mach. Learn. Res., 2024)

Motion In-Betweening via Deep $ Delta$Δ-Interpolator. - Boris N. Oreshkin; Antonios Valkanas; Félix G. Harvey; Louis-Simon Ménard; Florent Bocquelet; Mark J. Coates (IEEE Trans. Vis. Comput. Graph., 2024)

InnerThoughts: Disentangling Representations and Predictions in Large Language Models. - Didier Chételat; Joseph Cotnareanu; Rylee Thompson; Yingxue Zhang 001; Mark Coates (AISTATS, 2025)

MODL: Multilearner Online Deep Learning. - Antonios Valkanas; Boris N. Oreshkin; Mark Coates (AISTATS, 2025)

Sparse Decomposition of Graph Neural Networks. - Yaochen Hu 001; Mai Zeng; Ge Zhang; Pavel Rumiantsev; Liheng Ma; Yingxue Zhang 001; Mark Coates (Trans. Mach. Learn. Res., 2025)

Variation Matters: from Mitigating to Embracing Zero-Shot NAS Ranking Function Variation. - Pavel Rumiantsev; Mark Coates (Trans. Mach. Learn. Res., 2025)

Personalized Negative Reservoir for Incremental Learning in Recommender Systems. - Antonios Valkanas; Yuening Wang; Yingxue Zhang 001; Mark Coates (Trans. Mach. Learn. Res., 2025)

Secure Federated Graph-Filtering for Recommender Systems. - Julien Nicolas; César Sabater; Mohamed Maouche; Sonia Ben Mokhtar; Mark Coates (CoRR, 2025)

Simplifying Graph Transformers. - Liheng Ma; Soumyasundar Pal; Yingxue Zhang 001; Philip H. S. Torr; Mark Coates (CoRR, 2025)

Half Search Space is All You Need. - Pavel Rumiantsev; Mark Coates (CoRR, 2025)

One Demo Is All It Takes: Planning Domain Derivation with LLMs from A Single Demonstration. - Jinbang Huang; Yixin Xiao; Zhanguang Zhang; Mark Coates; Jianye Hao; Yingxue Zhang 001 (CoRR, 2025)

SKOLR: Structured Koopman Operator Linear RNN for Time-Series Forecasting. - Yitian Zhang; Liheng Ma; Antonios Valkanas; Boris N. Oreshkin; Mark Coates (CoRR, 2025)

Reasoning on a Budget: A Survey of Adaptive and Controllable Test-Time Compute in LLMs. - Mohammad Ali Alomrani; Yingxue Zhang 001; Derek Li; Qianyi Sun; Soumyasundar Pal; Zhanguang Zhang; Yaochen Hu 001; Rohan Deepak Ajwani; Antonios Valkanas; Raika Karimi; Peng Cheng; Yunzhou Wang; et al. (CoRR, 2025)

Communication Efficient, Differentially Private Distributed Optimization using Correlation-Aware Sketching. - Julien Nicolas; Mohamed Maouche; Sonia Ben Mokhtar; Mark Coates (CoRR, 2025)

Omni-Thinker: Scaling Cross-Domain Generalization in LLMs via Multi-Task RL with Hybrid Rewards. - Derek Li; Jiaming Zhou; Amirreza Kazemi; Qianyi Sun; Abbas Ghaddar; Mohammad Ali Alomrani; Liheng Ma; Yu Luo; Dong Li 016; Feng Wen; Jianye Hao; Mark Coates; et al. (CoRR, 2025)