Nick Duffield

Publication Activity (10 Years)

Years Active: 2000-2024
Publications (10 Years): 46

Top Topics

Relational Learning

Graph Embedding

Top Venues

WWW (Companion Volume)

Publications

Ziyi Zhang, Shaogang Ren, Xiaoning Qian, Nick Duffield
Learning Flexible Time-windowed Granger Causality Integrating Heterogeneous Interventional Time Series Data. KDD (2024)
Ziyi Zhang, Shaogang Ren, Xiaoning Qian, Nick Duffield
Towards Invariant Time Series Forecasting in Smart Cities. CoRR (2024)
Diya Li, Zhe Zhang, Bahareh Alizadeh Kharazi, Ziyi Zhang, Nick Duffield, Michelle A. Meyer, Courtney M. Thompson, Huilin Gao, Amir H. Behzadan
A reinforcement learning-based routing algorithm for large street networks. Int. J. Geogr. Inf. Sci. 38 (2) (2024)
Xinyue Ye, Shoujia Li, Ge Gao, David Retchless, Zhenhang Cai, Galen Newman, Jiaxin Du, Nick Duffield
3D visualization of hurricane storm surge impact on urban infrastructure. Urban Inform. 3 (1) (2024)
Ziyi Zhang, Shaogang Ren, Xiaoning Qian, Nick Duffield
Learning Flexible Time-windowed Granger Causality Integrating Heterogeneous Interventional Time Series Data. CoRR (2024)
Peiman Mohseni, Nick Duffield
Spectral Convolutional Conditional Neural Processes. CoRR (2024)
Ziyi Zhang, Shaogang Ren, Xiaoning Qian, Nick Duffield
Towards Invariant Time Series Forecasting in Smart Cities. WWW (Companion Volume) (2024)
Haoyu Niu, Janvita Reddy Peddagudreddygari, Mahendra Bhandari, Juan Landivar, Craig W. Bednarz, Nick Duffield
In-Season Cotton Yield Prediction with Scale-Aware Convolutional Neural Network Models and Unmanned Aerial Vehicle RGB Imagery. Sensors 24 (8) (2024)
Peiman Mohseni, Nick Duffield, Bani K. Mallick, Arman Hasanzadeh
Adaptive Conditional Quantile Neural Processes. UAI (2023)
Ziyi Zhang, Diya Li, Zhenlei Song, Nick Duffield, Zhe Zhang
Location-Aware Social Network Recommendation via Temporal Graph Networks. LocalRec@SIGSPATIAL (2023)
Peiman Mohseni, Nick Duffield, Bani K. Mallick, Arman Hasanzadeh
Adaptive Conditional Quantile Neural Processes. CoRR (2023)
Yunhong Xu, Keqiang He, Rui Wang, Minlan Yu, Nick Duffield, Hassan M. G. Wassel, Shidong Zhang, Leon Poutievski, Junlan Zhou, Amin Vahdat
Hashing Design in Modern Networks: Challenges and Mitigation Techniques. USENIX Annual Technical Conference (2022)
Arman Hasanzadeh, Ehsan Hajiramezanali, Nick Duffield, Xiaoning Qian
MoReL: Multi-omics Relational Learning. CoRR (2022)
Yixiao Feng, Nick Duffield
Multiscale Energy Network Tomography. IFIP Networking (2022)
Arman Hasanzadeh, Ehsan Hajiramezanali, Nick Duffield, Xiaoning Qian
MoReL: Multi-omics Relational Learning. ICLR (2022)
Binbin Lin, Lei Zou, Nick Duffield, Ali Mostafavi, Heng Cai, Bing Zhou, Jian Tao, Mingzheng Yang, Debayan Mandal, Joynal Abedin
Revealing the linguistic and geographical disparities of public awareness to Covid-19 outbreak through social media. Int. J. Digit. Earth 15 (1) (2022)
Arman Hasanzadeh, Mohammadreza Armandpour, Ehsan Hajiramezanali, Mingyuan Zhou, Nick Duffield, Krishna Narayanan
Bayesian Graph Contrastive Learning. CoRR (2021)
Binbin Lin, Lei Zou, Nick Duffield, Ali Mostafavi, Heng Cai, Bing Zhou, Jian Tao, Mingzheng Yang, Debayan Mandal, Joynal Abedin
Revealing the Global Linguistic and Geographical Disparities of Public Awareness to Covid-19 Outbreak through Social Media. CoRR (2021)
Nesreen K. Ahmed, Nick Duffield, Ryan A. Rossi
Online Sampling of Temporal Networks. ACM Trans. Knowl. Discov. Data 15 (4) (2021)
Sourav Panda, Yixiao Feng, Sameer G. Kulkarni, K. K. Ramakrishnan, Nick Duffield, Laxmi N. Bhuyan
SmartWatch: accurate traffic analysis and flow-state tracking for intrusion prevention using SmartNICs. CoNEXT (2021)
Arman Hasanzadeh, Ehsan Hajiramezanali, Shahin Boluki, Mingyuan Zhou, Nick Duffield, Krishna Narayanan, Xiaoning Qian
Bayesian Graph Neural Networks with Adaptive Connection Sampling. ICML (2020)
Arman Hasanzadeh, Ehsan Hajiramezanali, Shahin Boluki, Mingyuan Zhou, Nick Duffield, Krishna Narayanan, Xiaoning Qian
Bayesian Graph Neural Networks with Adaptive Connection Sampling. CoRR (2020)
Ehsan Hajiramezanali, Arman Hasanzadeh, Nick Duffield, Krishna Narayanan, Xiaoning Qian
BayReL: Bayesian Relational Learning for Multi-omics Data Integration. NeurIPS (2020)
Hanzi Mao, Xi Liu, Nick Duffield, Hao Yuan, Shuiwang Ji, Binayak P. Mohanty
Context-aware Deep Representation Learning for Geo-spatiotemporal Analysis. ICDM (2020)
Nesreen K. Ahmed, Nick Duffield
Adaptive Shrinkage Estimation for Streaming Graphs. NeurIPS (2020)
Ehsan Hajiramezanali, Arman Hasanzadeh, Nick Duffield, Krishna Narayanan, Mingyuan Zhou, Xiaoning Qian
Semi-Implicit Stochastic Recurrent Neural Networks. ICASSP (2020)
Xi Liu, Muhe Xie, Xidao Wen, Rui Chen, Yong Ge, Nick Duffield, Na Wang
Micro- and macro-level churn analysis of large-scale mobile games. Knowl. Inf. Syst. 62 (4) (2020)
Yunhong Xu, Hao Wu, Nick Duffield, Bin Liu, Minlan Yu
Poster: CO2: Collaborative Packet Classification for Network Functions with Overselection. Networking (2020)
Yixiao Feng, Sourav Panda, Sameer G. Kulkarni, K. K. Ramakrishnan, Nick Duffield
A SmartNIC-Accelerated Monitoring Platform for In-band Network Telemetry. LANMAN (2020)
Ehsan Hajiramezanali, Arman Hasanzadeh, Nick Duffield, Krishna R. Narayanan, Xiaoning Qian
BayReL: Bayesian Relational Learning for Multi-omics Data Integration. CoRR (2020)
David S. Johnson, Lee Breslau, Ilias Diakonikolas, Nick Duffield, Yu Gu, MohammadTaghi Hajiaghayi, Howard J. Karloff, Mauricio G. C. Resende, Subhabrata Sen
Near-Optimal Disjoint-Path Facility Location Through Set Cover by Pairs. Oper. Res. 68 (3) (2020)
Arman Hasanzadeh, Ehsan Hajiramezanali, Nick Duffield, Krishna R. Narayanan, Mingyuan Zhou, Xiaoning Qian
Semi-Implicit Graph Variational Auto-Encoders. CoRR (2019)
Xi Liu, Ping-Chun Hsieh, Nick Duffield, Rui Chen, Muhe Xie, Xidao Wen
Real-Time Streaming Graph Embedding Through Local Actions. WWW (Companion Volume) (2019)
Ehsan Hajiramezanali, Arman Hasanzadeh, Nick Duffield, Krishna R. Narayanan, Mingyuan Zhou, Xiaoning Qian
Variational Graph Recurrent Neural Networks. CoRR (2019)
Mahmood Ettehad, Nick Duffield, Gregory Berkolaiko
Optimizing Consistent Merging and Pruning of Subgraphs in Network Tomography. CoRR (2019)
Nesreen K. Ahmed, Nick Duffield
Network Shrinkage Estimation. CoRR (2019)
Ehsan Hajiramezanali, Arman Hasanzadeh, Krishna R. Narayanan, Nick Duffield, Mingyuan Zhou, Xiaoning Qian
Variational Graph Recurrent Neural Networks. NeurIPS (2019)
Thomas Bonald, Nick Duffield
Editorial. Proc. ACM Meas. Anal. Comput. Syst. 3 (2) (2019)
Arman Hasanzadeh, Ehsan Hajiramezanali, Krishna R. Narayanan, Nick Duffield, Mingyuan Zhou, Xiaoning Qian
Semi-Implicit Graph Variational Auto-Encoders. NeurIPS (2019)
Arman Hasanzadeh, Xi Liu, Nick Duffield, Krishna R. Narayanan
Piecewise Stationary Modeling of Random Processes Over Graphs With an Application to Traffic Prediction. IEEE BigData (2019)
Ehsan Hajiramezanali, Arman Hasanzadeh, Nick Duffield, Krishna R. Narayanan, Mingyuan Zhou, Xiaoning Qian
Semi-Implicit Stochastic Recurrent Neural Networks. CoRR (2019)
Nesreen K. Ahmed, Nick Duffield, Ryan A. Rossi
Temporal Network Sampling. CoRR (2019)
Xi Liu, Muhe Xie, Xidao Wen, Rui Chen, Yong Ge, Nick Duffield, Na Wang
Micro- and Macro-Level Churn Analysis of Large-Scale Mobile Games. CoRR (2019)
Xi Liu, Muhe Xie, Xidao Wen, Rui Chen, Yong Ge, Nick Duffield, Na Wang
A Semi-Supervised and Inductive Embedding Model for Churn Prediction of Large-Scale Mobile Games. ICDM (2018)
Xi Liu, Ping-Chun Hsieh, Nick Duffield, Rui Chen, Muhe Xie, Xidao Wen
Streaming Network Embedding through Local Actions. CoRR (2018)
Xi Liu, Muhe Xie, Xidao Wen, Rui Chen, Yong Ge, Nick Duffield, Na Wang
A Semi-Supervised and Inductive Embedding Model for Churn Prediction of Large-Scale Mobile Games. CoRR (2018)
Yu Jin, Nick Duffield, Alexandre Gerber, Patrick Haffner, Wen-Ling Hsu, Guy Jacobson, Subhabrata Sen, Shobha Venkataraman, Zhi-Li Zhang
Characterizing data usage patterns in a large cellular network. CellNet@SIGCOMM (2012)
Lee Breslau, Chris Chase, Nick Duffield, Bill Fenner, Yanhua Mao, Subhabrata Sen
VMScope: a virtual multicast VPN performance monitor. INM@SIGCOMM (2006)
Ramón Cáceres, Nick Duffield, Anja Feldmann, John D. Friedmann, Albert G. Greenberg, Rick Greer, Theodore Johnson, Charles R. Kalmanek, Balachander Krishnamurthy, Dianne Lavelle, Partho Pratim Mishra, Jennifer Rexford, K. K. Ramakrishnan, Frederick D. True, Jacobus E. van der Merwe
Measurement and analysis of IP network usage and behavior. IEEE Commun. Mag. 38 (5) (2000)
Andrew Adams, Tian Bu, Timur Friedman, Joseph Horowitz, Don Towsley, Ramón Cáceres, Nick Duffield, Francesco Lo Presti, Sue B. Moon, Vern Paxson
The use of end-to-end multicast measurements for characterizing internal network behavior. IEEE Commun. Mag. 38 (5) (2000)