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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

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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

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True Contraction Decomposition and Almost Eth-Tight Bipartization for Unit-Disk Graphs, Sayan Bandyapadhyay, William Lochet, Daniel Lokshtanov, Saket Saurabh, and Jie Xue

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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

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DCAI: The 4th International Workshop on Data-Centric AI, Yanjie Fu, Kunpeng Liu, and Dongjie Wang

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Tabular Data-centric AI: Challenges, Techniques and Future Perspectives, Yanjie Fu, Dongjie Wang, Hui Xiong, and Kunpeng Liu

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Mask2Former with Improved Query for Semantic Segmentation in Remote-Sensing Images, Shichen Guo, Qi Wang, Shiming Xiang, Shuwen Wang, and Xuezhi Wang

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Static Reflective Surfaces for Improved Terahertz Coverage, Thanh Le and Suresh Singh

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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

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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

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

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Enhancing Translation Validation of Compiler Transformations with Large Language Models, Fei Xie and Yanzhao Wang

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Self-optimizing Feature Generation via Categorical Hashing Representation and Hierarchical Reinforcement Crossing, Wangyang Ying, Dongjie Wang, Kunpeng Liu, Leilei Sun, and Yanjie Fu

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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

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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

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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

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The Role of Preprocessing for Word Representation Learning in Affective Tasks, Nastaran Babanejad, Heidar Davoudi, Ameeta Agrawal, and Manos Papagelis

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Lossy Kernelization of Same-Size Clustering, Sayan Bandyapadhyay, Fedor V. Fomin, Petr A. Golovach, Nidhi Purohit, and Kirill Simonov

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Parameterized Complexity of Feature Selection for Categorical Data Clustering, Sayan Bandyapadhyay, Fedor V. Fomin, Petr A. Golovach, and Kirill Simonov

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An Improved Lower Bound for Sparse Reconstruction from Subsampled Walsh Matrices, Jaroslaw Blasiok, Patrick Lopatto, Kyle Luh, Jake Marcinek, and Shravas Rao

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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

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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

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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

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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

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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

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Panoramas from Photons, Sacha Jungerman, Atul Ingle, and Mohit Gupta

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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

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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

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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

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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

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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

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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

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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

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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

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The Future of Camera Technology with Atul Ingle, Atul Ingle

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Quantum Key-Length Extension, Joseph Jaeger, Fang Song, and Stefano Tessaro

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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

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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

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SNeRF: Stylized Neural Implicit Representations for 3D scenes, Thu Nguyen-Phuoc, Feng Liu, and Lei Xiao

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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

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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

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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

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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

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Towards Adaptive, Self-Configuring Networked Unmanned Aerial Vehicles, Nirupama Bulusu, Ehsan Aryafar, and Feng Liu

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Towards Formally Verified Compilation of Tag-Based Policy Enforcement, CHR Chhak, Andrew Tolmach, and Sean Anderson

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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

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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

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Concolic Execution of NMap Scripts for Honeyfarm Generation, Zhe Li, Bo Chen, Wu-chang Feng, and Fei Xie

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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

Extracting Physical Events from Digital Chatter for Covid-19, Vikram Nagapudi, Ameeta Agrawal, and Nirupama Bulusu

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Workflow Critical Path: A Data-oriented Critical path metric for Holistic HPC Workflows, Daniel D. Nguyen and Karen L. Karavanic

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Learned Dual-View Reflection Removal, Simon Niklaus, Xuaner Cecilia Zhang, Jonathan T. Barron, Neal Wadhwa, Rahul Garg, Feng Liu, and Tianfan Xue

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On the (Im)Practicality of Adversarial Perturbation for Image Privacy, Arezoo Rajabi, Rakesh B. Bobba, Mike Rosulek, Charles Wright, and Wu-chi Feng

Effect of Standing Wave on Terahertz Channel Model, Ha K. Tran, Thanh Le, and Suresh Singh

Adversarial Perturbation Suppression Using Adaptive Gaussian Smoothing and Color Reduction, Li-Yun Wang

CCAP: Cooperative Context Aware Pruning for Neural Network Model Compression, Li-Yun Wang and Zahid Akhtar

Game to Dethrone: A Least Privilege CTF, Wenjing Wu and Wu-chang Feng