Submissions from 2025
Unremarkable to Remarkable AI Agent: Exploring Boundaries of Agent Intervention for Adults with and Without Cognitive Impairment, Mai Lee Chang, Samantha Reig, Alicia (Hyun Jin) Lee, Anna Huang, Hugo Simão, Nara Han, Neeta M. Khanuja, Abdullah Ubed Mohammad Ali, Rebekah Martinez, John Zimmerman, Jodi Forlizzi, and Aaron Steinfeld
Deep Learning Classification of Drainage Crossings Based on High-Resolution Dem-Derived Geomorphological Information, Michael Edidem, Bill Xu, Ruopu Li, Di Wu, Banafsheh Rekabdar, and Guangxing Wang
Foundation Models Boost Low-Level Perceptual Similarity Metrics, Abhijay Ghildyal, Nabajeet Barman, and Saman Zadtootaghaj
Advanced Machine Learning Techniques for Social Support Detection on Social Media, Olga Kolesnikova, Moein Shahiki Tash, Zahra Ahani, Ameeta Agrawal, Raúl Monroy, and Grigori Sidorov
Next Arrival and Destination Prediction via Spatiotemporal Embedding with Urban Geography and Human Mobility Data, Pengjiang Li, Zaitian Wang, Xinhao Zhang, Pengfei Wang, and Kunpeng Liu
Robust Contraction Decomposition for Minor-Free Graphs and Its Applications, Bandyapadhyay Sayan, William Lochet, Daniel Lokshtanov, Dániel Marx, Pranabendu Misra, and multiple additional authors
Submissions from 2024
A Deep Learning Framework for Blockage Mitigation and Duration Prediction in Mmwave Wireless Networks, Ahmed Almutairi, Alireza Keshavarz-Haddad, and Ehsan Aryafar
On Coresets for Fair Clustering in Metric and Euclidean Spaces and Their Applications, Sayan Bandyapadhyay, Fedor V. Fomin, and Kirill Simonov
Parameterized Approximation Algorithms and Lower Bounds for K-Center Clustering and Variants, Sayan Bandyapadhyay, Zachary Friggstad, and Ramin Mousavi
True Contraction Decomposition and Almost Eth-Tight Bipartization for Unit-Disk Graphs, Sayan Bandyapadhyay, William Lochet, Daniel Lokshtanov, Saket Saurabh, and Jie Xue
FEA Simulations for Thermal Distributions of Large Scale 3DIC Packages, Suxia Chen, Qiang Wu, Wayne Xun, Jiachen Zhang, and Jianping Xun
Elman Neural Network Optimized by Improved Golden Search Optimization Algorithm for Optimal Designing of the Hybrid Renewable Energy Systems, Suxia Chen, Jiachen Zhang, Guijie Zhang, and Homayoun Ebrahimian
Optimizing Medical Image Analysis: Leveraging Efficient Hardware and AI Algorithms, Subhadeep Dolai and Ekata Mitra
DCAI: The 4th International Workshop on Data-Centric AI, Yanjie Fu, Kunpeng Liu, and Dongjie Wang
Tabular Data-centric AI: Challenges, Techniques and Future Perspectives, Yanjie Fu, Dongjie Wang, Hui Xiong, and Kunpeng Liu
Mask2Former with Improved Query for Semantic Segmentation in Remote-Sensing Images, Shichen Guo, Qi Wang, Shiming Xiang, Shuwen Wang, and Xuezhi Wang
Static Reflective Surfaces for Improved Terahertz Coverage, Thanh Le and Suresh Singh
MemFriend: Understanding Memory Performance with Spatial-Temporal Affinity, Yasodha Suriyakumar, Nathan R. Tallent, Andres Marquez, Karen L. Karavanic, and Ozgur O Kilic
ACCORD: Constraint-driven Mediation of Multi-user Conflicts in Cloud Services, Abhiroop Tippavajjula, Primal Pappachan, Anna Squicciarini, and Jose Such
Video As Text: A New Paradigm for Flexible Video Analysis, Li-Yun Wang and Wu-chi Feng
Deep Adaptive Graph Clustering via Von Mises-Fisher Distributions, Pengfei Wang, Daqing Wu, Chong Chen, Kunpeng Liu, Yanjie Fu, Jianqiang Huang, Yuanchun Zhou, Jianfeng Zhan, and Xiansheng Hua
A Systematic Translation Validation Framework for Mlir-Based Compilers, Yanzhao Wang, Fei Xie, Zhenkun Yang, Pasquale Cocchini, and Jin Yang
Story of Your Lazy Function's Life: A Bidirectional Demand Semantics for Mechanized Cost Analysis of Lazy Programs, Li-yao Xia, Laura Israel, Maite Kramarz, Nicholas Coltharp, Koen Claessen, Stephanie Weirich, and Yao Li
Traceable Group-Wise Self-Optimizing Feature Transformation Learning: A Dual Optimization Perspective, Meng Xiao, Dongjie Wang, Min Wu, Kunpeng Liu, Hui Xiong, Yuanchun Zhou, and Yanjie Fu
Enhancing Translation Validation of Compiler Transformations with Large Language Models, Fei Xie and Yanzhao Wang
Self-optimizing Feature Generation via Categorical Hashing Representation and Hierarchical Reinforcement Crossing, Wangyang Ying, Dongjie Wang, Kunpeng Liu, Leilei Sun, and Yanjie Fu
H2D: Hierarchical Heterogeneous Graph Learning Framework for Drug-Drug Interaction Prediction, Ran Zhang, Xuezhi Wang, Sheng Wang, Kunpeng Liu, Yuanchun Zhou, and Pengfei Wang
Submissions from 2023
Optimizing Retroreflective Marker Set for Motion Capturing Props, Pedro Acevedo, Banafsheh Rekabdar, and Christos Mousas
All Translation Tools Are Not Equal: Investigating the Quality of Language Translation for Forced Migration, Ameeta Agrawal, Lisa Singh, Elizabeth Jacobs, Yaguang Liu, Gwyneth Dunlevy, Rhitabrat Pokharel, and Varun Uppala
Gated Recurrent Units for Blockage Mitigation in mmWave Wireless, Ahmed H. Almutairi, Alireza Keshavarz-Haddad, and Ehsan Aryafar
Trajectory-User Linking Using Higher-Order Mobility Flow Representations, Mahmoud Alsaeed, Ameeta Agrawal, and Manos Papagelis
Attacking a Transformer-Based Models for Arabic Language As Low Resources Language (LRL) Using Word-Substitution Methods, Hanin Alshalan and Banafsheh Rekabdar
Illuminating the Bias in Pedestrian Detection, Afnan Althoupety, Li-Yun Wang, Wu-Chi Feng, and Banafsheh Rekabdar
Formalizing Stack Safety as a Security Property, Sean Noble Anderson, Roberto Blanco, Leonidas Lampropoulos, Benjamin C. Pierce, and Andrew Tolmach
Regression Transfer Learning for the Prediction of Three-Dimensional Ground Reaction Forces and Joint Moments During Gait, Goksu Avdan, Sinan Onal, and Banafsheh Rekabdar
Deep Hierarchical Variational Autoencoders for World Models in Reinforcement Learning, Sriharshitha Ayyalasomayajula, Banafsheh Rekabdar, and Christos Mousas
The Role of Preprocessing for Word Representation Learning in Affective Tasks, Nastaran Babanejad, Heidar Davoudi, Ameeta Agrawal, and Manos Papagelis
Lossy Kernelization of Same-Size Clustering, Sayan Bandyapadhyay, Fedor V. Fomin, Petr A. Golovach, Nidhi Purohit, and Kirill Simonov
Parameterized Complexity of Feature Selection for Categorical Data Clustering, Sayan Bandyapadhyay, Fedor V. Fomin, Petr A. Golovach, and Kirill Simonov
An Improved Lower Bound for Sparse Reconstruction from Subsampled Walsh Matrices, Jaroslaw Blasiok, Patrick Lopatto, Kyle Luh, Jake Marcinek, and Shravas Rao
Effective Entity Augmentation By Querying External Data Sources, Christopher Buss, Jasmin Mousavi, Mikhail Tokarev, Arash Termehchy, David Maier, and Stefan Lee
Towards a Semi-Local Random Walk Technique Through Multilayer Social Networks to Improve Link Prediction, Suxia Chen, Jiachen Zhang, Guijie Zhang, and Amin Rezaeipanah
Quantum Multi-Solution Bernoulli Search with Applications to Bitcoin’s Post-Quantum Security, Alexandru Cojocaru, Juan Garay, Fang Song, and Petros Wallden
Flexible Compilation and Refinement of Asynchronous Circuits, Ebelechukwu Esimai and Marly Roncken
RDKG: A Reinforcement Learning Framework for Disease Diagnosis on Knowledge Graph, Shipeng Guo, Kunpeng Liu, Pengfei Wang, Weiwei Dai, Yi Du, Yuanchun Zhou, and Wenjuan Cui
Learned Compressive Representations for Single-Photon 3D Imaging, Felipe Gutierrez-Barragan, Fangzhou Mu, Andrei Ardelean, Atul Ingle, Claudio Bruschini, Edoardo Charbon, Yin Li, Mohit Gupta, and Andreas Velten
An Outdoor Experimental Study of Many Antenna Full-Duplex Wireless, Hadi Hosseini, Ahmed Almutairi, Syed Muhammad Hashir, Ehsan Aryafar, and Joseph Camp
Auxiliary Features-Guided Super Resolution for Monte Carlo Rendering, Qiqi Hou and Feng Liu
Count-Free Single-Photon 3D Imaging with Race Logic, Atul N. Ingle and David Maier
Deep Reinforcement Learning Based Group Recommendation System with Multi-Head Attention Mechanism, Saba Izadkhah and Banafsheh Reakbdar
Noisy-Defense Variational Auto-Encoder (ND-VAE): an Adversarial Defense Framework to Eliminate Adversarial Attacks, Shayan Jalalinour and Banafsheh Rekabdar
Deep Learning-Based Spatial Detection of Drainage Structures Using Advanced Object Detection Methods, Shayan Jalalipour, Sriharshitha Ayyalasomayjula, Hashem Damrah, Junfan Lin, Banafsheh Rekabdar, and Ruopu Li
Panoramas from Photons, Sacha Jungerman, Atul Ingle, and Mohit Gupta
CASPI: Collaborative Photon Processing for Active Single-Photon imaging, Jongho Lee, Atul Ingle, Jenu V. Chacko, Kevin W. Eliceiri, and Mohit Gupta
Interactive Reinforced Feature Selection with Traverse Strategy, Kunpeng Liu, Dongjie Wang, Wan Du, Dapeng Oliver Wu, and Yanjie Fu
In-Situ Concolic Testing of Javascript, Zhe Li and Fei Xie
Dealing with Distribution Shift in Acoustic Mosquito Datasets, Hermann Y. Nkouanga and Suresh Singh
Preventing Inferences through Data Dependencies on Sensitive Data, Primal Pappachan, Shufan Zhang, Xi He, and Sharad Mehrotra
Analysis of Youtube Comments to Inform the Design of Virtual Reality Training Simulations to Target Emotional Arousal, Karan R. Patil, Siddharth Bhandari, Ameeta Agrawal, Steven K. Ayer, Logan A. Perry, and Matthew R. Hallowell
State Access for RSFQ Test and Analysis, Marly Roncken, Ebelechukwu Esimai, Vivek Ramanathan, Warren Hunt, and Ivan Sutherland
Increasing Terahertz MIMO Channel Capacity with Passive Reflectors, Suresh P. Singh, Ha Tran, and Thanh Le
Stabilizing Terahertz MIMO Channel Capacity with Controlled Diffuse Reflections, Suresh Singh, Ha K. Tran, and Thanh N. Le
Spiking Convolutional Vision Transformer, Sameerah Talafha, Banafsheh Rekabdar, Christos Mousas, and Chinwe Ekenna
Transformer Based Approach for Sample Generation in Motion Planning, Tuan Tran, Sourav Dutta, Banafsheh Rekabdar, and Chinwe Ekenna
Online POI Recommendation: Learning Dynamic Geo-Human Interactions in Streams, Dongjie Wang, Kunpeng Liu, Hui Xiong, and Yanjie Fu
An Equivalence Checking Framework for Agile Hardware Design, Yanzhao Wang, Fei Xie, Zhenkun Yang, Pascuale Cocchini, and Jin Yang
An Automated Verification Framework for HalideIR-Based Compiler Transformations, Yanzhao Wang, Zhenkun Yang, Fei Xie, Jeremy Casas, Pasquale Cocchini, and Jin Yang
Classification of Drainage Crossings on high-resolution digital elevation models: A deep learning approach, Di Wu, Ruopu Li, Banafsheh Rekabdar, Claire Talbert, Michael Edidem, and Guangxing Wang
Submissions from 2022
The DB Community vis-à-vis Environmental, Health, and Societal Grand Challenges: Innovation Engine, Plumber, or Bystander?, Anastasia Ailamaki, Leilani Battle, Johannes Gehrke, Masaru Kitsuregawa, David Maier, Christopher Re, Meihui Zhang, and Magdalena Balazinska
Quantum Algorithms for Attacking Hardness Assumptions in Classical and Post‐Quantum Cryptography, J.-F. Biasse, X. Bonnetain, E. Kirshanova, A. Schrottenloher, and Fang Song
Flexible Active-Passive and Push-Pull Protocols, Ebelechukwu Esimai and Marly Roncken
Rate Maximization in a UAV Based Full-Duplex Multi-User Communication Network Using Multi-Objective Optimization, Syed Muhammad Hashir, Sabyasachi Gupta, Gavin Megson, Ehsan Aryafar, and Joseph Camp
A Simpler Machine Learning Model for Acute Kidney Injury Risk Stratification in Hospitalized Patients, Yirui Hu, Kunpeng Liu, Kevin Ho, David Riviello, Jason Brown, Alex R. Chang, Gurmukteshwar Singh, and H. Lester Kirchner
The Future of Camera Technology with Atul Ingle, Atul Ingle
Quantum Key-Length Extension, Joseph Jaeger, Fang Song, and Stefano Tessaro
Sequential Frame-Interpolation and DCT-based Video Compression Framework, Yeganeh Jalalpour, Wu-chi Feng, and Feng Liu
Reflection Channel Model for Terahertz Communications, Thanh N. Le, Ha K. Tran, and Suresh Singh
Motion-Adjustable Neural Implicit Video Representation, Long Mai and Feng Liu
Are High-Quality Photos More Popular Than Low-Quality Ones? A Quantitative Study, Priyanka Mudgal and Feng Liu
SNeRF: Stylized Neural Implicit Representations for 3D scenes, Thu Nguyen-Phuoc, Feng Liu, and Lei Xiao
From Machine Learning to Deep Learning: A comprehensive study of alcohol and drug use disorder, Banafsheh Rekabdar, David L. Albright, Haelim Jeong, and Sameerah Talafha
Mitigating Popularity Bias in Recommendation with Unbalanced Interactions: A Gradient Perspective, Weijieying Ren, Lei Wang, Kunpeng Liu, Ruocheng Guo, Lim Ee Peng, and Yanjie Fu
DFGAN: Image Deblurring Through Fusing Light-Weight Attention and Gradient-Based Filters, Ali Syed Saqlain, Fang Fang, Li-Yun Wang, Tanvir Ahmad, and Zain Ul Abidin
SL-CycleGAN: Blind Motion Deblurring in Cycles using Sparse Learning, Ali Syed Saqlain, Li-Yun Wang, and Zhiyong Liu
Deblur-Cyclegan: A Generative Cyclic Approach for Image Blind Motion Deblurring, Ali Syed Saqlain, Songyuan Yu, Li-Yun Wang, Tanvir Ahmad, and Zain Ul Abidin
Automated Urban Planning Aware Spatial Hierarchies and Human Instructions, Dongjie Wang, Kunpeng Liu, Yanyong Huang, Leilei Sun, Bowen Du, and Yanjie Fu
Extending Tensor Virtual Machine to Support Deep-Learning Accelerators with Convolution Cores, Yanzhao Wang and Fei Xie
Submissions from 2021
Deep Transfer Learning for Cross-Device Channel Classification in Mmwave Wireless, Ahmed H. Almutairi, Suresh Srinivasan, Alireza Keshavarz-Haddad, and Ehsan Aryafar
Rotten Green Tests in Java, Pharo and Python, Vincent Aranega, Julien Delplanque, Matias Martinez, Andrew P. Black, Stéphane Ducasse, Anne Etien, Christopher Fuhrman, and Guillermo Polito
Comparing Personalized Pagerank and Activation Spreading in Wikipedia Diagram-Based Search, Hisham Benotman and David E. Maier
Towards Adaptive, Self-Configuring Networked Unmanned Aerial Vehicles, Nirupama Bulusu, Ehsan Aryafar, and Feng Liu
Towards Formally Verified Compilation of Tag-Based Policy Enforcement, CHR Chhak, Andrew Tolmach, and Sean Anderson
An Automated Ar-Based Annotation Tool for Indoor Navigation for Visually Impaired People, Pei Du and Nirupama Bulusu
Memory Efficient Knowledge Base Question Answering with Chatbot Framework, Sai Sharath Japa and Banafsheh Rekabdar
What Makes Agile Software Development Agile, Marco Kuhrmann, Paolo Tell, Regina Hebig, Jil Ann-Christin Klunder, Jurgen Munch, Oliver Linssen, Dietmar Pfahl, Michael Felderer, Christian Prause, Steve Macdonell, Joyce Nakatumba-Nabende, David Raffo, and multiple additional authors
View Synthesis of Dynamic Scenes based on Deep 3D Mask Volume, Kai-En Lin, Guowei Yang, Lei Xiao, Feng Liu, and Ravi Ramamoorthi
A Community Platform for Research on Pricing and Distributed Machine Learning, Xuanzhe Li, Samuel Gomena, Logan Ballard, Juntao Li, Ehsan Aryafar, and Carlee Joe-Wong
Concolic Execution of NMap Scripts for Honeyfarm Generation, Zhe Li, Bo Chen, Wu-chang Feng, and Fei Xie
Predicting Human–pathogen Protein–protein Interactions Using Natural Language Processing Methods, Nikhil Mathews, Tuan Tran, Banafsheh Rekabdar, and Chinwe Ekenna
Many-Antenna Full-Duplex with Fully Digital and Hybrid Beamforming Radios, Gavin Megson and Ehsan Aryafar