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ORCIDCoRR, August 2021
- Balachandar S., Chinnaiyan R.:
Secure solutions for Smart City Command Control Centre using AIOT. - Yunfeng Bai, Qingqing Zhang, Wei Wang, Riqing Chen, Qingwen Liu:
Long-Range Optical Wireless Information and Power Transfer. - Sennur Ulukus, Salman Avestimehr, Michael Gastpar, Syed Ali Jafar, Ravi Tandon, Chao Tian:
Private Retrieval, Computing and Learning: Recent Progress and Future Challenges. - Sebastian Kotstein, Justus Bogner:
Which RESTful API Design Rules Are Important and How Do They Improve Software Quality? A Delphi Study with Industry Experts. - Xiangbo Meng, Kang Gao, Bertrand M. Hochwald:
A Training-Based Mutual Information Lower Bound for Large-Scale Systems. - Yu-Hong Yeung, David A. Barajas-Solano, Alexandre M. Tartakovsky:
Physics-Informed Machine Learning Method for Large-Scale Data Assimilation Problems. - Faisal Alamri, Anjan Dutta:
Multi-Head Self-Attention via Vision Transformer for Zero-Shot Learning. - Gonzalo Gonzalez de Diego, Patrick E. Farrell, Ian J. Hewitt:
On the finite element approximation of a semicoercive Stokes variational inequality arising in glaciology. - Dário Augusto Borges Oliveira, Jorge Guevara Diaz
, Bianca Zadrozny, Campbell D. Watson:
Controlling Weather Field Synthesis Using Variational Autoencoders. - Sangwoo Mo, Hyunwoo Kang, Kihyuk Sohn, Chun-Liang Li, Jinwoo Shin:
Object-aware Contrastive Learning for Debiased Scene Representation. - Estelle M. Massart, Vinayak Abrol:
Coordinate descent on the orthogonal group for recurrent neural network training. - Alireza Javaheri, Catarina Brites, Fernando Pereira, João Ascenso:
A Point-to-Distribution Joint Geometry and Color Metric for Point Cloud Quality Assessment. - Rafael C. e Silva, Nuno Fachada, Diogo de Andrade, Nélio Códices:
Procedural Generation of 3D Maps with Snappable Meshes. - Skye Morgan, Tharindu Ranasinghe, Marcos Zampieri:
WLV-RIT at GermEval 2021: Multitask Learning with Transformers to Detect Toxic, Engaging, and Fact-Claiming Comments. - Fábio Luiz Usberti, Celso Cavellucci, Christiano Lyra:
Interruption flows for reliability evaluation of power distribution networks. - Nicolas Bousquet, Laurent Feuilloley, Théo Pierron:
Local certification of graph decompositions and applications to minor-free classes. - Jie Lei, Tamara L. Berg, Mohit Bansal:
MTVR: Multilingual Moment Retrieval in Videos. - Jerry Chee, Megan Renz, Anil Damle, Chris De Sa:
Pruning Neural Networks with Interpolative Decompositions. - Ajay Kulkarni, Deri Chong, Feras A. Batarseh:
Foundations of data imbalance and solutions for a data democracy. - Nicholas Bishop, Hau Chan, Debmalya Mandal, Long Tran-Thanh:
Sequential Blocked Matching. - Fasma Diele, Ilenia Luiso, Carmela Marangi, Angela Martiradonna:
Evaluating the impact of increasing temperatures on changes in Soil Organic Carbon stocks: sensitivity analysis and non-standard discrete approximation. - Yasamin Moghaddas, Tommy Nguyen, Shih-Yuan Yu, Rozhin Yasaei, Mohammad Abdullah Al Faruque:
Technical Report for HW2VEC - A Graph Learning Tool for Automating Hardware Security. - Michalis Kallitsis, Vasant G. Honavar, Rupesh Prajapati, Dinghao Wu, John Yen:
Zooming Into the Darknet: Characterizing Internet Background Radiation and its Structural Changes. - Zhe Huang, Gary Long, Benjamin Wessler, Michael C. Hughes:
A New Semi-supervised Learning Benchmark for Classifying View and Diagnosing Aortic Stenosis from Echocardiograms. - Stefan Hoffmann:
Computational Complexity of Synchronization under Sparse Regular Constraints. - Ravi Teja Gadde, Ivan Bulyko:
Towards Continual Entity Learning in Language Models for Conversational Agents. - Taosha Fan, Todd D. Murphey:
Majorization Minimization Methods for Distributed Pose Graph Optimization. - Awni Y. Hannun:
The History of Speech Recognition to the Year 2030. - Brittany Froese Hamfeldt, Axel G. R. Turnquist:
A Convergent Numerical Method for the Reflector Antenna Problem via Optimal Transport on the Sphere. - Georgii S. Novikov, Maxim E. Panov, Ivan V. Oseledets:
Tensor-Train Density Estimation. - Benedikt Maderbacher, Roderick Bloem:
Reactive Synthesis Modulo Theories Using Abstraction Refinement. - Wilder E. Castellanos, Jose Macias, Harold Pinilla, José David Alvarado:
Internet of things: a multiprotocol gateway as solution of the interoperability problem. - Ali Tazarv, Marco Levorato:
A Deep Learning Approach to Predict Blood Pressure from PPG Signals. - Juan Carlos García-Escartín, Vicent Gimeno, Julio José Moyano-Fernández:
Quantum collision finding for homomorphic hash functions. - Hung Le, Shay Solomon:
Near-Optimal Spanners for General Graphs in (Nearly) Linear Time. - Alexander Grushin, Walt Woods:
Extracting Grammars from a Neural Network Parser for Anomaly Detection in Unknown Formats. - Peng Qian, Tahira Naseem, Roger Levy, Ramón Fernandez Astudillo:
Structural Guidance for Transformer Language Models. - Mostafa Parchami, Saif Iftekar Sayed:
Deep Feature Tracker: A Novel Application for Deep Convolutional Neural Networks. - Archit Karandikar, Nicholas Cain, Dustin Tran, Balaji Lakshminarayanan, Jonathon Shlens, Michael C. Mozer, Becca Roelofs:
Soft Calibration Objectives for Neural Networks. - Leonard E. van Dyck, Roland Kwitt, Sebastian J. Denzler, Walter R. Gruber:
Comparing object recognition in humans and deep convolutional neural networks - An eye tracking study. - Zeyad Emam, Andrew Kondrich, Sasha Harrison, Felix Lau, Yushi Wang, Aerin Kim, Elliot Branson:
On The State of Data In Computer Vision: Human Annotations Remain Indispensable for Developing Deep Learning Models. - Xiaoyuan Guo, Judy Wawira Gichoya, Saptarshi Purkayastha, Imon Banerjee:
Margin-Aware Intra-Class Novelty Identification for Medical Images. - Xiaodong Xin, Kun He, Jialu Bao, Bart Selman, John E. Hopcroft:
Structure Amplification on Multi-layer Stochastic Block Models. - Xin-Yang Liu, Jian-Xun Wang:
Physics-informed Dyna-Style Model-Based Deep Reinforcement Learning for Dynamic Control. - Adityanarayanan Radhakrishnan, George Stefanakis, Mikhail Belkin, Caroline Uhler:
Simple, Fast, and Flexible Framework for Matrix Completion with Infinite Width Neural Networks. - Abhishek Goudar, Angela P. Schoellig:
Online Spatio-temporal Calibration of Tightly-coupled Ultrawideband-aided Inertial Localization. - Thomas Watson, Bibek Poudel:
Learning to Control Direct Current Motor for Steering in Real Time via Reinforcement Learning. - Kecheng Zheng, Cuiling Lan, Wenjun Zeng, Jiawei Liu, Zhizheng Zhang, Zheng-Jun Zha:
Pose-Guided Feature Learning with Knowledge Distillation for Occluded Person Re-Identification. - Rob van Glabbeek, Peter Höfner, Weiyou Wang:
Enabling Preserving Bisimulation Equivalence. - Ali Tazarv, Sina Labbaf, Stephanie M. Reich, Nikil D. Dutt, Amir M. Rahmani, Marco Levorato:
Personalized Stress Monitoring using Wearable Sensors in Everyday Settings. - Lantao Yu, Kuida Liu, Michael T. Orchard:
Manifold-Inspired Single Image Interpolation. - Shu Hu, Lipeng Ke, Xin Wang, Siwei Lyu:
TkML-AP: Adversarial Attacks to Top-k Multi-Label Learning. - Sumesh Kumar, Fahad Saeed:
Communication-avoiding micro-architecture to compute Xcorr scores for peptide identification. - Francesco Malandrino, Alessandro Nordio, Carla-Fabiana Chiasserini:
Eavesdropping with Intelligent Reflective Surfaces: Threats and Defense Strategies. - Zhongyun Bao, Chengjiang Long, Gang Fu, Daquan Liu, Yuanzhen Li, Jiaming Wu, Chunxia Xiao:
Scene Inference for Object Illumination Editing. - Kihwan Kim:
An Empirical Analysis on Transparent Algorithmic Exploration in Recommender Systems. - Bogdan Marinescu, Oriol Gomis-Bellmunt, Florian Dörfler, Horst Schulte, Lukas Sigrist:
Dynamic Virtual Power Plant: A New Concept for Grid Integration of Renewable Energy Sources. - Wenxiao Wang, Lu Yao, Long Chen, Deng Cai, Xiaofei He, Wei Liu:
CrossFormer: A Versatile Vision Transformer Based on Cross-scale Attention. - Zhaoming Kong, Lichao Sun, Hao Peng, Liang Zhan, Yong Chen, Lifang He:
Multiplex Graph Networks for Multimodal Brain Network Analysis. - Vidhi Jain, Prakhar Agarwal, Shishir G. Patil, Katia P. Sycara:
Learning Embeddings that Capture Spatial Semantics for Indoor Navigation. - Fengping Wang, Jie Li, Chun Qi, Yun Zhang, Danmin Miao:
A Dynamic 3D Spontaneous Micro-expression Database: Establishment and Evaluation. - Min Ren, Lingxiao He, Xingyu Liao, Wu Liu, Yunlong Wang, Tieniu Tan:
Learning Instance-level Spatial-Temporal Patterns for Person Re-identification. - Chuanjian Liu, Kai Han, An Xiao, Yiping Deng, Wei Zhang, Chunjing Xu, Yunhe Wang:
Greedy Network Enlarging. - Li Ding, Yongwei Wang, Xin Ding, Kaiwen Yuan, Ping Wang, Hua Huang, Z. Jane Wang:
Delving into Deep Image Prior for Adversarial Defense: A Novel Reconstruction-based Defense Framework. - Wei Zhang, He Dong, Yunlang Xu, Xiaoping Li:
Performance assessment and tuning of PID control using TLBO: the single-loop case and PI/P cascade case. - Tommaso Buvoli, Michael L. Minion:
On the Stability of Exponential Integrators for Non-Diffusive Equations. - Jingxian Sun, Lichao Zhang, Yufei Zha, Abel Gonzalez-Garcia, Peng Zhang, Wei Huang, Yanning Zhang:
Unsupervised Cross-Modal Distillation for Thermal Infrared Tracking. - Huiyan Li, Haohong Lin, You Wang, Hengyang Wang, Han Gao, Qing Ai, Guang Li:
Voice Reconstruction from Silent Speech with a Sequence-to-Sequence Model. - Xiong Zhou, Xianming Liu, Chenyang Wang, Deming Zhai, Junjun Jiang, Xiangyang Ji:
Learning with Noisy Labels via Sparse Regularization. - Varsha Suresh, Desmond C. Ong:
Using Knowledge-Embedded Attention to Augment Pre-trained Language Models for Fine-Grained Emotion Recognition. - Ziang Cao, Changhong Fu, Junjie Ye, Bowen Li, Yiming Li:
HiFT: Hierarchical Feature Transformer for Aerial Tracking. - Heng Zhao, Joey Tianyi Zhou, Yew-Soon Ong:
Word2Pix: Word to Pixel Cross Attention Transformer in Visual Grounding. - Sjoerd Dirksen, Martin Genzel, Laurent Jacques, Alexander Stollenwerk:
The Separation Capacity of Random Neural Networks. - Dongyang Zhao, Ziyang Song, Zhenghao Ji, Gangming Zhao, Weifeng Ge, Yizhou Yu:
Multi-scale Matching Networks for Semantic Correspondence. - Yu Zhou, Xiaoqing Zhang, Juanjuan Shen, Tingting Han, Taolue Chen, Harald C. Gall:
Adversarial Robustness of Deep Code Comment Generation. - Rui Gong, Kazunori Hase:
A Plant Root System Algorithm Based on Swarm Intelligence for One-dimensional Biomedical Signal Feature Engineering. - Daniel Schuster, Sebastiaan J. van Zelst, Wil M. P. van der Aalst:
Freezing Sub-Models During Incremental Process Discovery: Extended Version. - Wentao Zhang, Zhi Yang, Yexin Wang, Yu Shen, Yang Li, Liang Wang, Bin Cui:
Grain: Improving Data Efficiency of Graph Neural Networks via Diversified Influence Maximization. - (Withdrawn) Solving Constrained Horn Clauses over ADTs by Finite Model Finding.
- Dorra Ben Khalifa, Matthieu Martel:
A Study of the Floating-Point Tuning Behaviour on the N-body Problem. - Jian Wang, Yourui Huangfu, Rong Li, Yiqun Ge, Jun Wang:
Distributed Learning for Time-varying Networks: A Scalable Design. - Ningyuan Chen, Xuefeng Gao, Yi Xiong:
Debiasing Samples from Online Learning Using Bootstrap. - Fang Zheng, Le Wang, Sanping Zhou, Wei Tang, Zhenxing Niu, Nanning Zheng, Gang Hua:
Unlimited Neighborhood Interaction for Heterogeneous Trajectory Prediction. - Joseph Marvin Imperial, Ethel Ong:
Diverse Linguistic Features for Assessing Reading Difficulty of Educational Filipino Texts. - Kayleigh Boekhoudt, Alina Matei, Maya Aghaei, Estefanía Talavera:
HR-Crime: Human-Related Anomaly Detection in Surveillance Videos. - Moira Shooter, Charles Malleson, Adrian Hilton:
SyDog: A Synthetic Dog Dataset for Improved 2D Pose Estimation. - Loïc Le Folgoc, Vasileios Baltatzis, Amir Alansary, Sujal Desai, Anand Devaraj, Sam Ellis, Octavio E. Martinez Manzanera, Fahdi Kanavati, Arjun Nair, Julia A. Schnabel, Ben Glocker:
Bayesian analysis of the prevalence bias: learning and predicting from imbalanced data. - Peng Wu, Julius S. Partridge, Enrico Anderlini, Yuanchang Liu, Richard W. G. Bucknall:
An Intelligent Energy Management Framework for Hybrid-Electric Propulsion Systems Using Deep Reinforcement Learning. - Wei W. Xing, Xiang Jin, Yi Liu, Dan Niu, Weishen Zhao, Zhou Jin:
BoA-PTA, A Bayesian Optimization Accelerated Error-Free SPICE Solver. - Anshul Mittal, Noveen Sachdeva, Sheshansh Agrawal, Sumeet Agarwal, Purushottam Kar, Manik Varma:
ECLARE: Extreme Classification with Label Graph Correlations. - Uttaran Bhattacharya, Elizabeth Childs, Nicholas Rewkowski, Dinesh Manocha:
Speech2AffectiveGestures: Synthesizing Co-Speech Gestures with Generative Adversarial Affective Expression Learning. - Yoshiki Kubotani, Yoshihiro Fukuhara, Shigeo Morishima:
RLTutor: Reinforcement Learning Based Adaptive Tutoring System by Modeling Virtual Student with Fewer Interactions. - Kishore Tumarada, Yifan Zhang, Fan Yang, Eduard C. Dragut, Omprakash Gnawali, Arjun Mukherjee:
Opinion Prediction with User Fingerprinting. - Muhammad Monjurul Karim, Yu Li, Ruwen Qin:
Towards explainable artificial intelligence (XAI) for early anticipation of traffic accidents. - Mingyuan Luo, Xin Yang, Xiaoqiong Huang, Yuhao Huang, Yuxin Zou, Xindi Hu, Nishant Ravikumar, Alejandro F. Frangi, Dong Ni:
Self Context and Shape Prior for Sensorless Freehand 3D Ultrasound Reconstruction. - Christian Ellis, Maggie B. Wigness, John G. Rogers III, Craig Lennon, Lance Fiondella:
Risk Averse Bayesian Reward Learning for Autonomous Navigation from Human Demonstration. - Ana-Maria Bucur, Ioana R. Podina, Liviu P. Dinu:
A Psychologically Informed Part-of-Speech Analysis of Depression in Social Media. - Davide Ancona, Pietro Barbieri, Elena Zucca:
Enhanced Regular Corecursion for Data Streams. - Santolo Leveque, John W. Pearson:
Parameter-Robust Preconditioning for Oseen Iteration Applied to Stationary and Instationary Navier-Stokes Control. - Zherong Pan, Duo Zhang, Changhe Tu, Xifeng Gao:
Planning of Power Grasps Using Infinite Program Under Complementary Constraints. - Felipe Colombelli, Thayne Woycinck Kowalski, Mariana Recamonde Mendoza:
A Hybrid Ensemble Feature Selection Design for Candidate Biomarkers Discovery from Transcriptome Profiles. - Mark Rucker, Stephen C. Adams, Roy Hayes, Peter A. Beling:
Inverse Reinforcement Learning for Strategy Identification. - Akshita Jha, Bhanukiran Vinzamuri, Chandan K. Reddy:
Fair Representation Learning using Interpolation Enabled Disentanglement. - Andrea Cini, Ivan Marisca, Cesare Alippi:
Multivariate Time Series Imputation by Graph Neural Networks. - Raj Kolamuri, Zilin Si, Yufan Zhang, Arpit Agarwal, Wenzhen Yuan:
Improving Grasp Stability with Rotation Measurement from Tactile Sensing. - You-Wei Luo, Chuan-Xian Ren:
Conditional Bures Metric for Domain Adaptation. - Song Zhang, Amritanshu Pandey, Xiaochuan Luo, Maggy Powell, Ranjan Banerji, Lei Fan, Abhineet Parchure, Eduardo Luzcando:
Practical Adoption of Cloud Computing in Power Systems - Drivers, Challenges, Guidance, and Real-world Use Cases. - Mika Hämäläinen, Khalid Al-Najjar:
Human Evaluation of Creative NLG Systems: An Interdisciplinary Survey on Recent Papers. - Chao Liu, Sencheng Yu, Mark Yim:
Motion Planning for Variable Topology Trusses: Reconfiguration and Locomotion. - Gil Ben Zvi, Eyal Leizerovich, Nimrod Talmon:
Iterative Deliberation via Metric Aggregation. - Joy T. Wu, Nkechinyere N. Agu, Ismini Lourentzou, Arjun Sharma, Joseph A. Paguio, Jasper S. Yao, Edward C. Dee, William Mitchell, Satyananda Kashyap, Andrea Giovannini, Leo A. Celi, Mehdi Moradi:
Chest ImaGenome Dataset for Clinical Reasoning. - Alexander M. Zenner, Erwin P. Böttinger, Stefan Konigorski:
StudyMe: A New Mobile App for User-Centric N-of-1 Trials. - Wenda Zhou, Shirin Jalali, Arian Maleki:
Compressed sensing in the presence of speckle noise. - Kaiyi Ji:
Bilevel Optimization for Machine Learning: Algorithm Design and Convergence Analysis. - Jinyan Su, Di Wang:
Faster Rates of Differentially Private Stochastic Convex Optimization. - Shah Zeb, Muhammad Ahmad Rathore, Aamir Mahmood, Syed Ali Hassan, JongWon Kim, Mikael Gidlund:
Edge Intelligence in Softwarized 6G: Deep Learning-enabled Network Traffic Predictions. - Kelvin Cheng, Christopher G. Healey, Tianfu Wu:
Towards Adversarially Robust and Domain Generalizable Stereo Matching by Rethinking DNN Feature Backbones. - Sayak Nag, Dripta S. Raychaudhuri, Sujoy Paul, Amit K. Roy-Chowdhury:
Learning Few-shot Open-set Classifiers using Exemplar Reconstruction. - Renata Souza, Orges Cico, Ivan Machado:
A Survey on Software Engineering Practices in Brazilian Startups. - Hanzhang Wang, Zhengkai Wu, Huai Jiang, Yichao Huang, Jiamu Wang, Selçuk Köprü, Tao Xie:
Groot: An Event-graph-based Approach for Root Cause Analysis in Industrial Settings. - Max Rudolph, Sonia Chernova, Harish Ravichandar:
Desperate Times Call for Desperate Measures: Towards Risk-Adaptive Task Allocation. - Michael Zechmair, Yannick Morel:
Penalty-based Numerical Representation of Rigid Body Interactions with Applications to Simulation of Robotic Grasping. - Kaibing Yang, Renshu Gu, Masahiro Toyoura, Gang Xu:
LASOR: Learning Accurate 3D Human Pose and Shape Via Synthetic Occlusion-Aware Data and Neural Mesh Rendering. - Jinyuan Jia, Yupei Liu, Neil Zhenqiang Gong:
BadEncoder: Backdoor Attacks to Pre-trained Encoders in Self-Supervised Learning. - Botao Zhu, Ebrahim Bedeer, Ha H. Nguyen, Robert Barton, Jerome Henry:
UAV Trajectory Planning in Wireless Sensor Networks for Energy Consumption Minimization by Deep Reinforcement Learning. - Mo Shan, Qiaojun Feng, You-Yi Jau, Nikolay Atanasov:
ELLIPSDF: Joint Object Pose and Shape Optimization with a Bi-level Ellipsoid and Signed Distance Function Description. - Chiyu Zhang, Muhammad Abdul-Mageed, AbdelRahim A. Elmadany, El Moatez Billah Nagoudi:
Improving Social Meaning Detection with Pragmatic Masking and Surrogate Fine-Tuning. - Jinghua Zhang, Chen Li, Marcin Grzegorzek:
Applications of Artificial Neural Networks in Microorganism Image Analysis: A Comprehensive Review from Conventional Multilayer Perceptron to Popular Convolutional Neural Network and Potential Visual Transformer. - Sibo Zhu, Handong Zhao, Hongfu Liu:
IPOF: An Extremely and Excitingly Simple Outlier Detection Booster via Infinite Propagation.