Selected Publications

Research in the College of Information Sciences and Technology explores topics across a variety of core and cross-cutting domains. Filter the list below by publication author, research area, and year to explore recent publications from IST researchers.

Join.Love: A Sociotechnical Genealogy of the Legalization of Same-Sex Marriage

  • Jeffrey
  • Bardzell
  • Guo
  • Freeman
  • Shaowen
  • Bardzell
  • Pei Ying
  • Chen
, 2020
, CHI 2020 - Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems

Prehabilitation: Care Challenges and Technological Opportunities

  • Haining
  • Zhu
  • Zachary J.
  • Moffa
  • Xinning
  • Gui
  • John M.
  • Carroll
, 2020
, CHI 2020 - Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems

Relational Aspects in Patient-provider Interactions: A Facial Paralysis Case Study

  • Haining
  • Zhu
  • Zachary J.
  • Moffa
  • John M.
  • Carroll
, 2020
, CHI 2020 - Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems

Semi-Supervised Cervical Dysplasia Classification with Learnable Graph Convolutional Network

  • Yanglan
  • Ou
  • Yuan
  • Xue
  • Ye
  • Yuan
  • Tao
  • Xu
  • Vincent
  • Pisztora
  • Jia
  • Li
  • Xiaolei
  • Huang
, 2020
, ISBI 2020 - 2020 IEEE International Symposium on Biomedical Imaging
on p. 1720-1724

The Emerging Professional Practice of Remote Sighted Assistance for People with Visual Impairments

  • Sooyeon
  • Lee
  • Madison
  • Reddie
  • Chun Hua
  • Tsai
  • Jordan
  • Beck
  • Mary Beth
  • Rosson
  • John M.
  • Carroll
, 2020
, CHI 2020 - Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems

Understanding the past, present, and future of design fictions

  • Michael
  • Muller
  • Jeffrey
  • Bardzell
  • Eunjeong
  • Cheon
  • Norman Makoto
  • Su
  • Eric P.S.
  • Baumer
  • Casey
  • Fiesler
  • Ann
  • Light
  • Mark
  • Blythe
, 2020
, CHI EA 2020 - Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems

Will Deleting History Make Alexa More Trustworthy?: Effects of Privacy and Content Customization on User Experience of Smart Speakers

  • Eugene
  • Cho
  • S. Shyam
  • Sundar
  • Saeed
  • Abdullah
  • Nasim
  • Motalebi
, 2020
, CHI 2020 - Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems

Automatic recognition of advanced persistent threat tactics for enterprise security

  • Qingtian
  • Zou
  • Anoop
  • Singhal
  • Xiaoyan
  • Sun
  • Peng
  • Liu
, 2020
, IWSPA 2020 - Proceedings of the 6th International Workshop on Security and Privacy Analytics
on p. 43-52

Backdoor Embedding in Convolutional Neural Network Models via Invisible Perturbation

  • Haoti
  • Zhong
  • Cong
  • Liao
  • Anna Cinzia
  • Squicciarini
  • Sencun
  • Zhu
  • David
  • Miller
, 2020
, CODASPY 2020 - Proceedings of the 10th ACM Conference on Data and Application Security and Privacy
on p. 97-108

Countdown timer speed

  • Moojan
  • Ghafurian
  • David
  • Reitter
  • Frank E.
  • Ritter
, 2020
, ACM Transactions on Computer-Human Interaction

DAMBA: Detecting Android Malware by ORGB Analysis

  • Weizhe
  • Zhang
  • Huanran
  • Wang
  • Hui
  • He
  • Peng
  • Liu
, 2020
, IEEE Transactions on Reliability
on p. 55-69

DeepMV: Multi-view deep learning for device-free human activity recognition

  • Hongfei
  • Xue
  • Wenjun
  • Jiang
  • Chenglin
  • Miao
  • Fenglong
  • Ma
  • Shiyang
  • Wang
  • Ye
  • Yuan
  • Shuochao
  • Yao
  • Aidong
  • Zhang
  • Lu
  • Su
, 2020
, Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies

DeepTrust: An Automatic Framework to Detect Trustworthy Users in Opinion-based Systems

  • Edoardo
  • Serra
  • Anu
  • Shrestha
  • Francesca
  • Spezzano
  • Anna
  • Squicciarini
, 2020
, CODASPY 2020 - Proceedings of the 10th ACM Conference on Data and Application Security and Privacy
on p. 29-38

Human-Computer Synergies in Prosthetic Interactions

  • John M.
  • Carroll
  • Sooyeon
  • Lee
  • Madison
  • Reddie
  • Jordan
  • Beck
  • Mary Beth
  • Rosson
, 2020
, Interaction Design and Architecture(s)
on p. 29-52

Keeping it "organized and logical"

  • Theresa
  • Mai
  • Roli
  • Khanna
  • Jonathan
  • Dodge
  • Jed
  • Irvine
  • Kin Ho
  • Lam
  • Zhengxian
  • Lin
  • Nicholas
  • Kiddle
  • Evan
  • Newman
  • Sai
  • Raja
  • Caleb
  • Matthews
  • Christopher
  • Perdriau
  • Margaret
  • Burnett
  • Alan
  • Fern
, 2020
on p. 465-476

Redundant logic elimination in network functions

  • Bangwen
  • Deng
  • Wenfei
  • Wu
  • Linhai
  • Song
, 2020
, SOSR 2020 - Proceedings of the 2020 Symposium on SDN Research
on p. 34-40

Task-agnostic object recognition for mobile robots through few-shot image matching

  • Agnese
  • Chiatti
  • Gianluca
  • Bardaro
  • Emanuele
  • Bastianelli
  • Ilaria
  • Tiddi
  • Prasenjit
  • Mitra
  • Enrico
  • Motta
, 2020
, Electronics (Switzerland)

The sibling neural estimator: Improving iterative image decoding with gradient communication

  • Ankur
  • Mali
  • Alexander G.
  • Ororbia
  • C. Lee
  • Giles
, 2020
, Proceedings - DCC 2020
on p. 23-32

Understanding emotions in SNS images from posters' perspectives

  • Junho
  • Song
  • Kyungsik
  • Han
  • Dongwon
  • Lee
  • Sang Wook
  • Kim
, 2020
, 35th Annual ACM Symposium on Applied Computing, SAC 2020
on p. 450-457

Effects of Varied Surgical Simulation Training Schedules on Motor-Skill Acquisition

  • Frank E.
  • Ritter
  • Martin K.C.
  • Yeh
  • Yu
  • Yan
  • Ka Chun
  • Siu
  • Dmitry
  • Oleynikov
, 2020
, Surgical Innovation
on p. 68-80

Empowering community water data stakeholders

  • John Millar
  • Carroll
  • Jordan
  • Beck
  • Elizabeth W.
  • Boyer
  • Shipi
  • Dhanorkar
  • Srishti
  • Gupta
, 2020
, Interacting with Computers
on p. 492-506

"Pro-amateur"-driven technological innovation: Participation and challenges in indie game development

  • Guo
  • Freeman
  • Nathan
  • McNeese
  • Jeffrey
  • Bardzell
  • Shaowen
  • Bardzell
, 2020
, Proceedings of the ACM on Human-Computer Interaction

ARBEE: Towards Automated Recognition of Bodily Expression of Emotion in the Wild

  • Yu
  • Luo
  • Jianbo
  • Ye
  • Reginald B.
  • Adams
  • Jia
  • Li
  • Michelle G.
  • Newman
  • James Z.
  • Wang
, 2020
, International Journal of Computer Vision

Deep multi-graph clustering via attentive cross-graph association

  • Dongsheng
  • Luo
  • Jingchao
  • Ni
  • Suhang
  • Wang
  • Yuchen
  • Bian
  • Xiong
  • Yu
  • Xiang
  • Zhang
, 2020
, WSDM 2020 - Proceedings of the 13th International Conference on Web Search and Data Mining
on p. 393-401

Estimation–Action–Reflection

  • Wenqiang
  • Lei
  • Xiangnan
  • He
  • Yisong
  • Miao
  • Qingyun
  • Wu
  • Richang
  • Hong
  • Min Yen
  • Kan
  • Tat Seng
  • Chua
, 2020
on p. 304-312

Integrating redundancy, diversity, and hardening to improve security of industrial internet of things

  • Aron
  • Laszka
  • Waseem
  • Abbas
  • Yevgeniy
  • Vorobeychik
  • Xenofon
  • Koutsoukos
, 2020
, Cyber-Physical Systems
on p. Jan-32

iScore: An MPI supported software for ranking protein–protein docking models based on a random walk graph kernel and support vector machines

  • Nicolas
  • Renaud
  • Yong
  • Jung
  • Vasant
  • Honavar
  • Cunliang
  • Geng
  • Alexandre M.J.J.
  • Bonvin
  • Li C.
  • Xue
, 2020
, SoftwareX

IScore: A novel graph kernel-based function for scoring protein-protein docking models

  • Cunliang
  • Geng
  • Yong
  • Jung
  • Nicolas
  • Renaud
  • Vasant
  • Honavar
  • Alexandre M.J.J.
  • Bonvin
  • Li C.
  • Xue
, 2020
, Bioinformatics
on p. 112-121

Learning with small data

  • Zhenhui
  • Li
  • Huaxiu
  • Yao
  • Fenglong
  • Ma
, 2020
, WSDM 2020 - Proceedings of the 13th International Conference on Web Search and Data Mining
on p. 884-887

Naught all zeros in sequence count data are the same

  • Justin D.
  • Silverman
  • Kimberly
  • Roche
  • Sayan
  • Mukherjee
  • Lawrence A.
  • David
, 2020
, Computational and Structural Biotechnology Journal
on p. 2789-2798

PackerGrind: An Adaptive Unpacking System for Android Apps

  • Lei
  • Xue
  • Hao
  • Zhou
  • Xiapu
  • Luo
  • Le
  • Yu
  • Dinghao
  • Wu
  • Yajin
  • Zhou
  • Xiaobo
  • Ma
, 2020
, IEEE Transactions on Software Engineering

Semi-synchronized Non-blocking Concurrent Kernel Cruising

  • Donghai
  • Tian
  • Qiang
  • Zeng
  • Dinghao
  • Wu
  • Peng
  • Liu
  • Changzhen
  • Hu
, 2020
, IEEE Transactions on Cloud Computing

Simultaneous input and state estimation for stochastic nonlinear systems with additive unknown inputs

  • Hunmin
  • Kim
  • Pinyao
  • Guo
  • Minghui
  • Zhu
  • Peng
  • Liu
, 2020
, Automatica

Synthesizing family perspectives on health: Using fun, creative activities to stimulate health conversations

  • Jomara
  • Sandbulte
  • Jordan
  • Beck
  • Janice
  • Whitaker
  • John M.
  • Carroll
, 2020
, Interactions
on p. 8-9

Transferring robustness for graph neural network against poisoning attacks

  • Xianfeng
  • Tang
  • Yandong
  • Li
  • Yiwei
  • Sun
  • Huaxiu
  • Yao
  • Prasenjit
  • Mitra
  • Suhang
  • Wang
, 2020
, WSDM 2020 - Proceedings of the 13th International Conference on Web Search and Data Mining
on p. 600-608

Understanding strategy differences in a fault-finding task

  • Maik B.
  • Friedrich
  • Frank E.
  • Ritter
, 2020
, Cognitive Systems Research
on p. 133-150

User-defined gesture interaction for in-vehicle information systems

  • Huiyue
  • Wu
  • Yu
  • Wang
  • Jiayi
  • Liu
  • Jiali
  • Qiu
  • Xiaolong (Luke)
  • Zhang
, 2020
, Multimedia Tools and Applications
on p. 263-288

3D-CNN-SPP: A Patient Risk Prediction System From Electronic Health Records via 3D CNN and Spatial Pyramid Pooling

  • Ronghui
  • Ju
  • Pan
  • Zhou
  • Shiping
  • Wen
  • Wei
  • Wei
  • Yuan
  • Xue
  • Xiaolei
  • Huang
  • Xin
  • Yang
, 2020
, IEEE Transactions on Emerging Topics in Computational Intelligence

A dynamic perspective of internet service provider adoption of emergent network technology: A case study of tribal digital village

  • Richard
  • Canevez
  • Carleen
  • Maitland
  • Matthew
  • Rantanen
, 2020
, Journal of Information Policy
on p. 83-122

A frank-wolfe framework for efficient and effective adversarial attacks

  • Jinghui
  • Chen
  • Dongruo
  • Zhou
  • Jinfeng
  • Yi
  • Quanquan
  • Gu
, 2020
on p. 3486-3494

A learning-based text synthesis engine for scene text detection

  • Xiao
  • Yang
  • Dafang
  • He
  • Daniel
  • Kifer
  • C.
  • Lee Giles
, 2020

A Machine Learning-Assisted Compartmentalization Scheme for Bare-Metal Systems

  • Dongdong
  • Huo
  • Chao
  • Liu
  • Xiao
  • Wang
  • Mingxuan
  • Li
  • Yu
  • Wang
  • Yazhe
  • Wang
  • Peng
  • Liu
  • Zhen
  • Xu
, 2020
, Information and Communications Security - 22nd International Conference, ICICS 2020, Proceedings
on p. 20-35

A semantics-based approach to disclosure classification in user-generated online content

  • Chandan
  • Akiti
  • Anna
  • Squicciarini
  • Sarah
  • Rajtmajer
, 2020
, Findings of the Association for Computational Linguistics Findings of ACL
on p. 3490-3499

Accelerating Substructure Similarity Search for Formula Retrieval

  • Wei
  • Zhong
  • Shaurya
  • Rohatgi
  • Jian
  • Wu
  • C. Lee
  • Giles
  • Richard
  • Zanibbi
, 2020
, Advances in Information Retrieval - 42nd European Conference on IR Research, ECIR 2020, Proceedings
on p. 714-727

Adversarial Deep Reinforcement Learning Based Adaptive Moving Target Defense

  • Taha
  • Eghtesad
  • Yevgeniy
  • Vorobeychik
  • Aron
  • Laszka
, 2020
on p. 58-79

Adversarial Models for Deterministic Finite Automata

  • Kaixuang
  • Zhang
  • Qinglong
  • Wang
  • C. Lee
  • Giles
, 2020
, Advances in Artificial Intelligence - 33rd Canadian Conference on Artificial Intelligence, Canadian AI 2020, Proceedings
on p. 540-552

Algorithmic Bias in Recidivism Prediction

  • Aria
  • Khademi
  • Vasant
  • Honavar
, 2020
on p. 13839-13840

Algorithmic Knowledge Gaps

  • Kelley
  • Cotter
  • Bianca C.
  • Reisdorf
, 2020
, International Journal of Communication
on p. 745-765

Analyzing cyber-physical threats to Pennsylvania dams through a lens of vulnerability

  • Lauren
  • Dennis
  • Sarah
  • Rajtmajer
  • Caitlin
  • Grady
, 2020

APOLLO: Automatic detection and diagnosis of performance regressions in database systems

  • Jinho
  • Jung
  • Hong
  • Hu
  • Joy
  • Arulraj
  • Taesoo
  • Kim
  • Woonhak
  • Kang
, 2020
, Proceedings of the VLDB Endowment
on p. 57-70