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ORCIDCoRR, January 2022
- Danielle C. Maddix, Nadim Saad, Yuyang Wang:
Modeling Advection on Directed Graphs using Matérn Gaussian Processes for Traffic Flow.
- Sathyanarayanan Chandramouli, Aseel Farhat, Ziad Musslimani:
Time-Dependent Duhamel Renormalization method with Multiple Conservation and Dissipation Laws. - Mohamed M. S. Nasser, El Mostafa Kalmoun, Vladimir Mityushev, Natalia Rylko:
Simulating local fields in carbon nanotube reinforced composites for infinite strip with voids. - Ola Alkhatib, Ayman Diyab Alahmar:
A Literature Review on Length of Stay Prediction for Stroke Patients using Machine Learning and Statistical Approaches. - Liang Zhang, Qiang Wu, Jianming Deng:
Knowledge intensive state design for traffic signal control. - Hailin Zhang, Defang Chen
, Can Wang:
Confidence-Aware Multi-Teacher Knowledge Distillation. - Guanyao Li, Shuhan Zhong, Letian Xiang, S.-H. Gary Chan, Ruiyuan Li, Chih-Chieh Hung, Wen-Chih Peng:
A Lightweight and Accurate Spatial-Temporal Transformer for Traffic Forecasting. - Erico Tjoa, Hong Jing Khok, Tushar Chouhan, Cuntai Guan:
Improving Deep Neural Network Classification Confidence using Heatmap-based eXplainable AI. - Huanlai Xing, Zhiwen Xiao, Rong Qu, Zonghai Zhu, Bowen Zhao:
An Efficient Federated Distillation Learning System for Multi-task Time Series Classification. - Markus Peschl, Arkady Zgonnikov, Frans A. Oliehoek, Luciano Cavalcante Siebert:
MORAL: Aligning AI with Human Norms through Multi-Objective Reinforced Active Learning. - Dongbo Xi, Fuzhen Zhuang, Yanchi Liu, Hengshu Zhu, Pengpeng Zhao, Chang Tan, Qing He:
Exploiting Bi-directional Global Transition Patterns and Personal Preferences for Missing POI Category Identification. - Yuhang Jia, Ying Cui, Wuyang Jiang:
Device Activity Detection for Massive Grant-Free Access Under Frequency-Selective Rayleigh Fading. - Hongcheng Guo, Xingyu Lin, Jian Yang, Yi Zhuang, Jiaqi Bai, Tieqiao Zheng, Bo Zhang, Zhoujun Li:
TransLog: A Unified Transformer-based Framework for Log Anomaly Detection. - Tobias Hofmann, Andy Oertel:
Fast ultrametric matrix-vector multiplication. - Paul Syverson:
Privacy-Protecting COVID-19 Exposure Notification Based on Cluster Events. - Angeliki Kamoutsi, Goran Banjac, John Lygeros:
Stochastic convex optimization for provably efficient apprenticeship learning. - Abhiram Iyer, Karan Grewal, Akash Velu, Lucas Oliveira Souza, Jeremy Forest, Subutai Ahmad:
Avoiding Catastrophe: Active Dendrites Enable Multi-Task Learning in Dynamic Environments. - Zejiang Hou, Sun-Yuan Kung:
Multi-Dimensional Model Compression of Vision Transformer. - Chenghao Yang, Hongyuan Mei, Jason Eisner:
Transformer Embeddings of Irregularly Spaced Events and Their Participants. - Toby Godwin, Georgios Rizos, Alice Baird, Najla D. Al Futaisi, Vincent Brisse, Björn W. Schuller:
Evaluating Deep Music Generation Methods Using Data Augmentation. - Yangjun Ruan, Yann Dubois, Chris J. Maddison:
Optimal Representations for Covariate Shift. - Serguei Barannikov, Ilya Trofimov, Nikita Balabin, Evgeny Burnaev:
Representation Topology Divergence: A Method for Comparing Neural Network Representations. - Xinke Deng, Junyi Geng, Timothy Bretl, Yu Xiang, Dieter Fox:
iCaps: Iterative Category-level Object Pose and Shape Estimation. - Bogdan Alexandru Stoica, Swarup Kumar Sahoo, James R. Larus, Vikram S. Adve:
Statistical Program Slicing: a Hybrid Slicing Technique for Analyzing Deployed Software. - Samaa Gazzaz, Vishal Chakraborty, Faisal Nawab:
Croesus: Multi-Stage Processing and Transactions for Video-Analytics in Edge-Cloud Systems. - Xiuzhen Ye, Iñaki Esnaola, Samir M. Perlaza, Robert F. Harrison:
Stealth Data Injection Attacks with Sparsity Constraints. - Nimit Sharad Sohoni, Maziar Sanjabi, Nicolas Ballas, Aditya Grover, Shaoliang Nie, Hamed Firooz, Christopher Ré:
BARACK: Partially Supervised Group Robustness With Guarantees. - Ronald E. Robertson, Jon Green, Damian Ruck, Katya Ognyanova, Christo Wilson, David Lazer:
Engagement Outweighs Exposure to Partisan and Unreliable News within Google Search. - Vivek Subramanian, Dhanasekar Sundararaman:
How do lexical semantics affect translation? An empirical study. - Xiaotong Chen, Seyed Mehdi Iranmanesh, Kuo-Chin Lien:
PatchTrack: Multiple Object Tracking Using Frame Patches. - Zahra Ghadiri, Milad Ranjbar, Fakhteh Ghanbarnejad, Sadegh Raeisi:
Automated Fake News Detection using cross-checking with reliable sources. - Alex Sheng, Derek He:
Distributed Evolution Strategies Using TPUs for Meta-Learning. - Maksim Aizenshtein, Niklas Smal, Morgan McGuire:
Wavelet Transparency. - Siddharth Chandrasekaran, Jeffrey Matthew Reginald, Wei Wang, Ting Zhu:
Computer Vision Based Parking Optimization System. - Mohamed Amine Kerkouri, Marouane Tliba, Aladine Chetouani, Mohamed Sayeh:
SalyPath360: Saliency and Scanpath Prediction Framework for Omnidirectional Images. - Yexin Duan, Junhua Zou, Xingyu Zhou, Wu Zhang, Jin Zhang, Zhisong Pan:
Adversarial Attack via Dual-Stage Network Erosion. - Muhammad Aitsam:
Differential Privacy Made Easy. - Di Wu, Tongxin Zhang, Yuan Zhong, Fanghua Jiang, Junfeng Li:
Analytical Shaping Method for Low-Thrust Rendezvous Trajectory Using Cubic Spline Functions. - Peiliang Huang, Junwei Han, De Cheng, Dingwen Zhang:
Robust Region Feature Synthesizer for Zero-Shot Object Detection. - Pengfei Wang, Changxing Ding, Zhiyin Shao, Zhibin Hong, Shengli Zhang, Dacheng Tao:
Quality-aware Part Models for Occluded Person Re-identification. - Eun Som Jeon, Anirudh Som, Ankita Shukla, Kristina Hasanaj, Matthew P. Buman, Pavan K. Turaga:
Role of Data Augmentation Strategies in Knowledge Distillation for Wearable Sensor Data. - Andrew Luo, Tianqin Li, Wen-Hao Zhang, Tai Sing Lee:
SurfGen: Adversarial 3D Shape Synthesis with Explicit Surface Discriminators. - Thanh-Dat Nguyen, Thanh Le-Cong, ThanhVu H. Nguyen, Xuan-Bach Dinh Le, Quyet-Thang Huynh:
Toward the Analysis of Graph Neural Networks. - Thanh Le-Cong, Xuan-Bach Dinh Le, Quyet-Thang Huynh, Phi-Le Nguyen:
Usability and Aesthetics: Better Together for Automated Repair of Web Pages. - Duy-Hoa Ngo, Madonna Kemp, Donna Truran, Bevan Koopman, Alejandro Metke-Jimenez:
Semantic Search for Large Scale Clinical Ontologies. - Xiaoyu Zhao, Jun Li, Qinghua Guo:
A Relaxed Energy Function Based Analog Neural Network Approach to Target Localization in Distributed MIMO Radar. - Nahian Ibn Hasan:
Bird Species Classification And Acoustic Features Selection Based on Distributed Neural Network with Two Stage Windowing of Short-Term Features. - Yuxing Wang, Tiantian Zhang, Yongzhe Chang, Bin Liang, Xueqian Wang, Bo Yuan:
A Surrogate-Assisted Controller for Expensive Evolutionary Reinforcement Learning. - Bao Hieu Tran, Thanh Le-Cong, Huu Manh Nguyen, Duc Anh Le, Thanh-Hung Nguyen, Phi Le Nguyen:
SAFL: A Self-Attention Scene Text Recognizer with Focal Loss. - Zi-Yi Dou, Nanyun Peng:
Zero-shot Commonsense Question Answering with Cloze Translation and Consistency Optimization. - Dongkun Han, Hejun Huang:
Sum-of-Squares Program and Safe Learning On Maximizing the Region of Attraction of Partially Unknown Systems. - Jiho Song, Seong-Hwan Hyun, Jong-Ho Lee, Jeongsik Choi, Seong-Cheol Kim:
Joint Vehicle Tracking and RSU Selection for V2I Communications with Extended Kalman Filter. - Yingqiang Ge, Xiaoting Zhao, Lucia Yu, Saurabh Paul, Diane Hu, Chu-Cheng Hsieh, Yongfeng Zhang:
Toward Pareto Efficient Fairness-Utility Trade-off inRecommendation through Reinforcement Learning. - Luca Schumann, Trinh Viet Doan, Tanya Shreedhar, Ricky K. P. Mok, Vaibhav Bajpai:
Impact of Evolving Protocols and COVID-19 on Internet Traffic Shares. - Jun Lu:
Matrix Decomposition and Applications. - Xingjian Xu, Minghua Chen:
Discovery of subdiffusion problem with noisy data via deep learning. - Yuyang Chen, Kaiming Bi, Chih-Hang Wu, David Ben-Arieh, Ashesh Sinha:
High-dimensional Bayesian Optimization Algorithm with Recurrent Neural Network for Disease Control Models in Time Series. - Hao Yang, Min Wang, Zhengfei Yu, Yun Zhou:
Rethinking Feature Uncertainty in Stochastic Neural Networks for Adversarial Robustness. - Yitian Chai, Hongyu Zhang, Beijun Shen, Xiaodong Gu:
Cross-Domain Deep Code Search with Few-Shot Meta Learning. - Georgios Symeonidis, Evangelos Nerantzis, Apostolos Kazakis, George A. Papakostas:
MLOps - Definitions, Tools and Challenges. - Haoxu Wang, Yan Jia, Zeqing Zhao, Xuyang Wang, Junjie Wang, Ming Li:
Generating Adversarial Samples For Training Wake-up Word Detection Systems Against Confusing Words. - Jian-wei Liu, Xi-hao Ding, Runkun Lu, Xionglin Luo:
Self-attention Multi-view Representation Learning with Diversity-promoting Complementarity. - Jian-wei Liu, Hao-jie Xie, Runkun Lu, Xionglin Luo:
Multi-view Subspace Adaptive Learning via Autoencoder and Attention. - Maitreya Suin, Kuldeep Purohit, A. N. Rajagopalan:
Adaptive Image Inpainting. - S. Sinha, K. G. Bakshi:
Zero-Sum Two Person Perfect Information Semi-Markov Games: A Reduction. - Mohammadhossein Ghahramani, Mengchu Zhou, Anna Mölter, Francesco Pilla:
IoT-based Route Recommendation for an Intelligent Waste Management System. - Sanjiva Prasad, R. Madhukar Yerraguntla, Subodh Sharma:
Secure Information Flow Typing in LUSTRE. - Zhou Yang, Jieke Shi, Muhammad Hilmi Asyrofi, David Lo:
Revisiting Neuron Coverage Metrics and Quality of Deep Neural Networks. - Shanjun Zhang, Mingzhen Li, Hailong Yang, Yi Liu, Zhongzhi Luan, Depei Qian:
FamilySeer: Towards Optimized Tensor Codes by Exploiting Computation Subgraph Similarity. - Radostin Cholakov, Todor Kolev:
The GatedTabTransformer. An enhanced deep learning architecture for tabular modeling. - Goldwyn Millar, Michel Kulhandjian, Ayse Alaca, Saban Alaca, Claude D'Amours, Halim Yanikomeroglu:
Low-Density Spreading Design Based on an Algebraic Scheme for NOMA Systems. - Farshad Noravesh, Kristiaan Kerstens:
Some connections between higher moments portfolio optimization methods. - Yecheng Shao, Yongbin Jin, Xianwei Liu, Weiyan He, Hongtao Wang, Wei Yang:
Learning Free Gait Transition for Quadruped Robots via Phase-Guided Controller. - Yunpu Zhao:
AutoDES: AutoML Pipeline Generation of Classification with Dynamic Ensemble Strategy Selection. - Dani Kiyasseh, Rasheed El-Bouri:
Turath-150K: Image Database of Arab Heritage. - Ilaria Castellani, Mariangiola Dezani-Ciancaglini, Paola Giannini:
Event structure semantics for multiparty sessions. - Shunhua Jiang, Binghui Peng, Omri Weinstein:
Dynamic Least-Squares Regression. - Montassar Naghmouchi, Hella Kaffel, Maryline Laurent:
An automatized Identity and Access Management system for IoT combining Self-Sovereign Identity and smart contracts. - Enyan Dai, Wei Jin, Hui Liu, Suhang Wang:
Towards Robust Graph Neural Networks for Noisy Graphs with Sparse Labels. - Davide Castelnovo, Fabio Gadducci, Marino Miculan:
A new criterion for M, N-adhesivity, with an application to hierarchical graphs. - Eason Li, Franc Brglez:
Asymptotic Experiments with Data Structures: Bipartite Graph Matchings and Covers. - Zhenduo Wang, Qingyao Ai:
Simulating and Modeling the Risk of Conversational Search. - Ziyang Tang, Yihao Feng, Qiang Liu:
Operator Deep Q-Learning: Zero-Shot Reward Transferring in Reinforcement Learning. - Thuy T. Do, Du Nguyen, Anh Le, Anh Nguyen, Dong Nguyen, Nga Hoang, Uyen Le, Tuan Tran:
Understanding Public Opinion on Using Hydroxychloroquine for COVID-19 Treatment via Social Media. - Dominik Bauer, Timothy Patten, Markus Vincze:
SporeAgent: Reinforced Scene-level Plausibility for Object Pose Refinement. - François Pacaud, Michel Schanen, Daniel Adrian Maldonado, Alexis Montoison, Valentin Churavy, Julian Samaroo, Mihai Anitescu:
Batched Second-Order Adjoint Sensitivity for Reduced Space Methods. - Martin Törngren, Haydn Thompson, Erik Herzog, Rafia Inam, James Gross, György Dán:
Industrial Edge-based Cyber-Physical Systems - Application Needs and Concerns for Realization. - Yanchao Sun, Ruijie Zheng, Xiyao Wang, Andrew E. Cohen, Furong Huang:
Transfer RL across Observation Feature Spaces via Model-Based Regularization. - Gregor Dumphart, Johannes Sager, Armin Wittneben:
The Channel Capacity of General Complex-Valued Load Modulation for Backscatter Communication. - Nicholas LaBerge, Kenneth Hunter Wapman, Allison C. Morgan, Sam Zhang, Daniel B. Larremore, Aaron Clauset:
Subfield prestige and gender inequality in computing. - Nicholas Dyson, Benedikt Ahrens, Jacopo Emmenegger:
The solutions to single-variable polynomials, implemented and verified in Lean. - Yipeng Li, Xiangmin Jiao:
ARPIST: Provably Accurate and Stable Numerical Integration over Spherical Triangles. - Oana Marin, Christopher Geoga, Michel Schanen:
On automatic differentiation for the Matérn covariance. - Sharp Chim Yui Lo:
Estimating Discretization Error with Preset Orders of Accuracy and Fractional Refinement Ratios. - Rayson Laroca, Everton V. Cardoso, Diego Rafael Lucio, Valter Estevam, David Menotti:
On the Cross-dataset Generalization in License Plate Recognition. - Anders Aaen Springborg, Martin Kaldahl Andersen, Kaare Holland Hattel, Michele Albano:
Towards a secure API client generator for IoT devices. - Raul Astudillo, Peter I. Frazier:
Thinking inside the box: A tutorial on grey-box Bayesian optimization. - Balsam Alkouz, Babar Shahzaad, Athman Bouguettaya:
Service-Based Drone Delivery. - Kazufumi Ito, Ying Liang, Jun Zou:
Least-Squares Method for Inverse Medium Problems. - Okezue Bell:
Applications of Gaussian Mutation for Self Adaptation in Evolutionary Genetic Algorithms. - Arun Raman, Keerthan Shagrithaya, Shalabh Bhatnagar:
Reinforcement Learning for Task Specifications with Action-Constraints. - Shuheng Fang, Kangfei Zhao, Guanghua Li, Jeffrey Xu Yu:
Community Search: Learn from Small Data. - Luis Alarcón, Job Ledezma:
Develop of a Pneumatic Force Sensor Prototype. - Huan Gao, Yongqiang Wang:
Algorithm-Level Confidentiality for Average Consensus on Time-Varying Directed Graphs. - Huaxiu Yao, Yu Wang, Sai Li, Linjun Zhang, Weixin Liang, James Zou, Chelsea Finn:
Improving Out-of-Distribution Robustness via Selective Augmentation. - Prasang Gupta, Antoinette Young, Anand Rao:
Investigating Cargo Loss in Logistics Systems using Low-Cost Impact Sensors. - Mina Khan, Zeel Patel, Kathryn Wantlin, Elena L. Glassman, Pattie Maes:
Changing Computer-Usage Behaviours: What Users Want, Use, and Experience. - Kexuan Xin, Zequn Sun, Wen Hua, Wei Hu, Xiaofang Zhou:
Informed Multi-context Entity Alignment. - Kushagra Pandey, Avideep Mukherjee, Piyush Rai, Abhishek Kumar:
DiffuseVAE: Efficient, Controllable and High-Fidelity Generation from Low-Dimensional Latents. - Zhihui Yang, Zuozhi Wang, Yicong Huang, Yao Lu, Chen Li, X. Sean Wang:
Optimizing Machine Learning Inference Queries with Correlative Proxy Models. - Mikhail Moshkov:
Rough analysis of computation trees. - Michelle Kleckler, Adel M. Elmahdy, Soheil Mohajer:
Secure Determinant Codes for Distributed Storage Systems. - Aamir Miyajiwala, Arnav Ladkat, Samiksha Jagadale, Raviraj Joshi:
On Sensitivity of Deep Learning Based Text Classification Algorithms to Practical Input Perturbations. - Jireh Jam, Connah Kendrick, Vincent Drouard, Kevin Walker, Moi Hoon Yap:
V-LinkNet: Learning Contextual Inpainting Across Latent Space of Generative Adversarial Network. - Kilian Wenker:
A Systematic Literature Review on Persuasive Technology at the Workplace. - Shaolun Ruan, Yong Wang, Qiang Guan:
Visilence: An Interactive Visualization Tool for Error Resilience Analysis. - Andrea Ebner, Markus Haltmeier:
Compressed Sensing of Indirect Data. - Han Cai, Moshe Schwartz:
A Bound on the Minimal Field Size of LRCs, and Cyclic MR Codes That Attain It. - Shunzhou Wang, Tianfei Zhou, Yao Lu, Huijun Di:
Detail-Preserving Transformer for Light Field Image Super-Resolution. - Hao Sun:
Toward Causal-Aware RL: State-Wise Action-Refined Temporal Difference. - Samuel Ackerman, Eitan Farchi, Orna Raz, Onn Shehory:
Experiment Based Crafting and Analyzing of Machine Learning Solutions. - João Pedro Rodrigues Mattos, Ricardo M. Marcacini:
Semi-Supervised Graph Attention Networks for Event Representation Learning. - Sebastian Hofstätter, Sophia Althammer, Mete Sertkan, Allan Hanbury:
Establishing Strong Baselines for TripClick Health Retrieval. - Yongchao Wang, Jing Bai:
Decoding Nonbinary LDPC Codes via Proximal-ADMM Approach (include convergence proofs). - Piotr Sowinski, Katarzyna Wasielewska-Michniewska, Maria Ganzha, Marcin Paprzycki:
Topical Classification of Food Safety Publications with a Knowledge Base. - João Morais, Kaushal Rathi, Bhuvaneshwar Mohan, Shantanu Rajesh:
Parkour Spot ID: Feature Matching in Satellite and Street view images using Deep Learning. - Zheng Li, Yue Zhao, Xiyang Hu, Nicola Botta, Cezar Ionescu, George H. Chen:
ECOD: Unsupervised Outlier Detection Using Empirical Cumulative Distribution Functions. - Yonghao Long, Jianfeng Cao, Anton Deguet, Russell H. Taylor, Qi Dou:
Integrating Artificial Intelligence and Augmented Reality in Robotic Surgery: An Initial dVRK Study Using a Surgical Education Scenario. - Enea Monzio Compagnoni, Luca Biggio, Antonio Orvieto, Thomas Hofmann, Josef Teichmann:
Randomized Signature Layers for Signal Extraction in Time Series Data. - Yifan Jiang, Bart Wronski, Ben Mildenhall, Jonathan T. Barron, Zhangyang Wang, Tianfan Xue:
Fast and High-Quality Image Denoising via Malleable Convolutions. - Christophe Bédard, Ingo Lütkebohle, Michel R. Dagenais:
ros2_tracing: Multipurpose Low-Overhead Framework for Real-Time Tracing of ROS 2. - Alireza Tofigh Rihani, Majid Ghandchi:
Increasing the Efficiency of Photovoltaic Systems by Using Maximum Power Point Tracking (MPPT).