Lisa Zhang

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All published works
Action Title Year Authors
+ PDF Chat Understanding Help-Seeking Behavior of Students Using LLMs vs. Web Search for Writing SQL Queries 2024 Harsh Kumar
Mohi Reza
Jeb Mitchell
Ilya Musabirov
Lisa Zhang
Michael Liut
+ The Behaviour Change Technique Ontology: Transforming the Behaviour Change Technique Taxonomy v1 2024 Marta M. Marques
Alison J. Wright
Elizabeth Corker
Marie Johnston
Robert West
Janna Hastings
Lisa Zhang
Susan Michie
+ The Behaviour Change Technique Ontology: Transforming the Behaviour Change Technique Taxonomy v1 2023 Marta M. Marques
Alison J. Wright
Elizabeth Corker
Marie Johnston
Robert West
Janna Hastings
Lisa Zhang
Susan Michie
+ The Behaviour Change Technique Ontology: Transforming the Behaviour Change Technique Taxonomy v1 2023 Marta M. Marques
Alison J. Wright
Marie Johnston
Robert West
Janna Hastings
Lisa Zhang
Susan Michie
+ PDF Chat Inference in Probabilistic Graphical Models by Graph Neural Networks 2019 Kijung Yoon
Renjie Liao
Yuwen Xiong
Lisa Zhang
Ethan Fetaya
Raquel Urtasun
Richard S. Zemel
Xaq Pitkow
+ PDF Chat Impact of missing data on bias and precision when estimating change in patient-reported outcomes from a clinical registry 2019 Olawale F. Ayilara
Lisa Zhang
Tolulope T. Sajobi
Richard Sawatzky
Éric Bohm
Lisa M. Lix
+ Inference in Probabilistic Graphical Models by Graph Neural Networks 2018 Kijung Yoon
Renjie Liao
Yuwen Xiong
Lisa Zhang
Ethan Fetaya
Raquel Urtasun
Richard S. Zemel
Xaq Pitkow
+ Reviving and Improving Recurrent Back-Propagation 2018 Renjie Liao
Yuwen Xiong
Ethan Fetaya
Lisa Zhang
Kijung Yoon
Xaq Pitkow
Raquel Urtasun
Richard S. Zemel
+ Learning deep structured active contours end-to-end 2018 Diego Marcos
Devis Tuia
Benjamin Kellenberger
Lisa Zhang
Min Bai
Renjie Liao
Raquel Urtasun
+ Reviving and Improving Recurrent Back-Propagation 2018 Renjie Liao
Yuwen Xiong
Ethan Fetaya
Lisa Zhang
Kijung Yoon
Xaq Pitkow
Raquel Urtasun
Richard S. Zemel
+ Inference in Probabilistic Graphical Models by Graph Neural Networks 2018 Kijung Yoon
Renjie Liao
Yuwen Xiong
Lisa Zhang
Ethan Fetaya
Raquel Urtasun
Richard S. Zemel
Xaq Pitkow
+ PDF Chat Utility optimization in heterogeneous networks via CSMA-based algorithms 2015 Matthew Andrews
Lisa Zhang
+ Energy-Delay Tradeoffs in a Load-Balanced Router 2013 Matthew Andrews
Lisa Zhang
+ Multi-Carrier Multi-Rate Utility Optimization in Heterogeneous Networks via CSMA-Based Algorithms 2012 Matthew Andrews
Lisa Zhang
+ Energy-delay tradeoffs in a load-balanced router 2012 Matthew Andrews
Lisa Zhang
+ Transforming Introductory Biostatistics Education: A Decision-Theoretic Perspective Using Deliberate Practice and Team-Based Learning 2012 Dalene Stangl
Allison Dorogi
Kyu Seo Kim
Josh Latner
Daniel Li
Clara Kwon Starkweather
Cynthia Wang
Michelle Xiao Wu
Young In Yun
Lisa Zhang
+ Repurposing existing drugs for the treatment of thyroid cancer 2012 Lisa Zhang
Electron Kebebew
+ PDF Chat Source routing and scheduling in packet networks 2005 Matthew Andrews
Antonio Fernández Anta
Ashish Goel
Lisa Zhang
+ Source Routing and Scheduling in Packet Networks 2002 Matthew Andrews
Antonio Fernández Anta
Ashish Goel
Lisa Zhang
Common Coauthors
Commonly Cited References
Action Title Year Authors # of times referenced
+ PDF Chat On the design of efficient CSMA algorithms for wireless networks 2010 Javad Ghaderi
R. Srikant
2
+ PDF Chat Convolutional Pose Machines 2016 Shih-En Wei
Varun Ramakrishna
Takeo Kanade
Yaser Sheikh
2
+ Spectral Networks and Locally Connected Networks on Graphs 2013 Joan Bruna
Wojciech Zaremba
Arthur Szlam
Yann LeCun
2
+ Probabilistic construction of deterministic algorithms: Approximating packing integer programs 1988 Prabhakar Raghavan
2
+ PDF Chat Development of an online tool for linking behavior change techniques and mechanisms of action based on triangulation of findings from literature synthesis and expert consensus 2020 Marie Johnston
Rachel Carey
Lauren Connell Bohlen
Derek Johnston
Alexander J. Rothman
Marijn de Bruin
Michael P. Kelly
Hilary Groarke
Susan Michie
2
+ PDF Chat The More You Know: Using Knowledge Graphs for Image Classification 2017 Kenneth Marino
Ruslan Salakhutdinov
Abhinav Gupta
2
+ PDF Chat Structure Inference Machines: Recurrent Neural Networks for Analyzing Relations in Group Activity Recognition 2016 Zhiwei Deng
Arash Vahdat
Hexiang Hu
Greg Mori
2
+ Gated Graph Sequence Neural Networks 2015 Yujia Li
Daniel Tarlow
Marc Brockschmidt
Richard S. Zemel
2
+ PDF Chat REFIM: A Practical Interference Management in Heterogeneous Wireless Access Networks 2011 Kyuho Son
Soo-Hwan Lee
Yung Yi
Song Chong
2
+ Community Detection with Graph Neural Networks 2017 Joan Bruna
Xiang Li
2
+ Making 802.11 DCF Optimal: Design, Implementation, and Evaluation 2012 Jinsung Lee
Yung Yi
Song Chong
Bruno Buongiorno Nardelli
Edward W. Knightly
Mung Chiang
2
+ Expectation Propagation for approximate Bayesian inference 2013 Thomas P. Minka
2
+ PDF Chat Situation Recognition with Graph Neural Networks 2017 Ruiyu Li
Makarand Tapaswi
Renjie Liao
Jiaya Jia
Raquel Urtasun
Sanja Fidler
2
+ Discriminative Embeddings of Latent Variable Models for Structured Data 2016 Hanjun Dai
Bo Dai
Le Song
2
+ Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation 2014 Kyunghyun Cho
Bart van Merriënboer
Çaǧlar Gülçehre
Dzmitry Bahdanau
Fethi Bougares
Holger Schwenk
Yoshua Bengio
2
+ Convolutional Networks on Graphs for Learning Molecular Fingerprints 2015 David Duvenaud
Dougal Maclaurin
Jorge Aguilera‐Iparraguirre
Rafael Gómez‐Bombarelli
Timothy Hirzel
Alán Aspuru‐Guzik
Ryan P. Adams
2
+ Adam: A Method for Stochastic Optimization 2014 Diederik P. Kingma
Jimmy Ba
2
+ Fully Connected Deep Structured Networks 2015 Alexander G. Schwing
Raquel Urtasun
1
+ PDF Chat Correction of bias from non‐random missing longitudinal data using auxiliary information 2009 Cuiling Wang
Charles B. Hall
1
+ <b>mice</b>: Multivariate Imputation by Chained Equations in<i>R</i> 2011 Stef van Buuren
Catharina G. M. Groothuis‐Oudshoorn
1
+ Multiple Imputation for Nonresponse in Surveys 1987 Donald B. Rubin
1
+ PDF Chat Patient-reported outcomes in meta-analyses --Part 2: methods for improving interpretability for decision-makers 2013 Bradley C. Johnston
Donald L. Patrick
Kristian Thorlund
Jason W. Busse
Bruno R. da Costa
Holger J. Schünemann
Gordon Guyatt
1
+ Stability of adversarial queues via fluid models 2002 David Gamarnik
1
+ Handling Missing Data in Clinical Trials: An Overview 2000 William R. Myers
1
+ PDF Chat Convexity Shape Constraints for Image Segmentation 2016 Loïc A. Royer
David Richmond
Carsten Rother
Bjoern Andres
Dagmar Kainmueller
1
+ PDF Chat Missing data: Our view of the state of the art. 2002 Joseph L. Schafer
John W. Graham
1
+ Statistics for the Life Sciences. 1989 Richard G. Cornell
Myra L. Samuels
1
+ Bridging the gap between statistical analysis and decision making in public health research 2005 Dalene Stangl
1
+ Fundamentals of Biostatistics. 1969 1
+ Adversarial queuing theory 2001 Allan Borodin
Jon Kleinberg
Prabhakar Raghavan
Madhu Sudan
David P. Williamson
1
+ PDF Chat Distributed resource allocation for proportional fairness in multi-band wireless systems 2011 I-Hong Hou
Piyush Gupta
1
+ Missing Data Analysis in Practice 2015 Trivellore E. Raghunathan
1
+ Mean Field Networks 2014 Yujia Li
Richard S. Zemel
1
+ Structured Prediction Energy Networks 2015 David Belanger
Andrew McCallum
1
+ Multi-Carrier Multi-Rate Utility Optimization in Heterogeneous Networks via CSMA-Based Algorithms 2012 Matthew Andrews
Lisa Zhang
1
+ R-FCN: Object Detection via Region-based Fully Convolutional Networks 2016 Jifeng Dai
Li Yi
Kaiming He
Jian Sun
1
+ Instance-Level Segmentation for Autonomous Driving with Deep Densely Connected MRFs 2015 Ziyu Zhang
Sanja Fidler
Raquel Urtasun
1
+ PDF Chat Nearest neighbor imputation algorithms: a critical evaluation 2016 Lorenzo Beretta
Alessandro Santaniello
1
+ Deep Active Contours 2016 Christian Rupprecht
Elizabeth Huaroc
Maximilian Baust
Nassir Navab
1
+ Semi-Supervised Classification with Graph Convolutional Networks 2016 Thomas Kipf
Max Welling
1
+ Semantic Instance Segmentation via Deep Metric Learning 2017 Alireza Fathi
Zbigniew Wojna
Vivek Rathod
Peng Wang
Hyun Oh Song
Sergio Guadarrama
Kevin Murphy
1
+ Neural Message Passing for Quantum Chemistry 2017 Justin Gilmer
Samuel S. Schoenholz
Patrick Riley
Oriol Vinyals
George E. Dahl
1
+ Instance-aware Semantic Segmentation via Multi-task Network Cascades 2015 Jifeng Dai
Kaiming He
Jian Sun
1
+ Deep Residual Learning for Image Recognition 2015 Kaiming He
Xiangyu Zhang
Shaoqing Ren
Jian Sun
1
+ Annotating Object Instances with a Polygon-RNN 2017 Lluís Castrejón
Kaustav Kundu
Raquel Urtasun
Sanja Fidler
1
+ Deep Watershed Transform for Instance Segmentation 2016 Min Bai
Raquel Urtasun
1
+ TorontoCity: Seeing the World with a Million Eyes 2016 Shenlong Wang
Min Bai
Gellért Máttyus
Hang Chu
Wenjie Luo
Bin Yang
Justin Liang
Joel Cheverie
Sanja Fidler
Raquel Urtasun
1
+ Distributed Resource Allocation for Proportional Fairness in Multi-Band Wireless Systems 2011 I-Hong Hou
Piyush Gupta
1
+ Neural Message Passing for Quantum Chemistry 2017 Justin Gilmer
Samuel S. Schoenholz
Patrick Riley
Oriol Vinyals
George E. Dahl
1
+ Fully Convolutional Networks for Semantic Segmentation 2016 Jonathan Long
Evan Shelhamer
Trevor Darrell
1