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ORCIDCoRR, July 2022
- Yuchuan Gou, Bo Peng, Hongchen Liu, Hang Zhou, Jui-Hsin Lai:
MultiEarth 2022 - The Champion Solution for Image-to-Image Translation Challenge via Generation Models. - Jihoon Moon, Debasmit Das, C. S. George Lee:
A Multi-stage Framework with Mean Subspace Computation and Recursive Feedback for Online Unsupervised Domain Adaptation. - Sana Ayromlou, Purang Abolmaesumi, Teresa Tsang
, Xiaoxiao Li:
Class Impression for Data-free Incremental Learning. - Andresia Pitri, Leon Andretti Abdillah:
Usability Testing untuk Mengukur Kepuasaan Pengguna Website Mailo Store. - Leilani H. Gilpin, Andrew R. Paley, Mohammed A. Alam, Sarah Spurlock, Kristian J. Hammond:
"Explanation" is Not a Technical Term: The Problem of Ambiguity in XAI. - Harry Wixley:
Smart Application for Fall Detection Using Wearable ECG & Accelerometer Sensors. - Federico Matteoni, Andrea Cossu, Claudio Gallicchio, Vincenzo Lomonaco, Davide Bacciu:
Continual Learning for Human State Monitoring. - Kuan Li, Yang Liu, Xiang Ao, Jianfeng Chi, Jinghua Feng, Hao Yang, Qing He:
Reliable Representations Make A Stronger Defender: Unsupervised Structure Refinement for Robust GNN. - Lingdong Kong, Jiawei Ren, Liang Pan, Ziwei Liu:
LaserMix for Semi-Supervised LiDAR Semantic Segmentation. - Reza Yazdani Aminabadi, Samyam Rajbhandari, Minjia Zhang, Ammar Ahmad Awan, Cheng Li, Du Li, Elton Zheng, Jeff Rasley, Shaden Smith, Olatunji Ruwase, Yuxiong He:
DeepSpeed Inference: Enabling Efficient Inference of Transformer Models at Unprecedented Scale. - Maurizio D'Arienzo, Simon Pietro Romano:
GOSPF: An energy efficient implementation of the OSPF routing protocol. - Oskar Thorén, Sanaz Taheri Boshrooyeh, Hanno Cornelius:
Waku: A Family of Modular P2P Protocols For Secure & Censorship-Resistant Communication. - Shuang Dai, Fanlin Meng, Qian Wang, Xizhong Chen:
DP2-NILM: A Distributed and Privacy-preserving Framework for Non-intrusive Load Monitoring. - Debmalya Mandal, Stelios Triantafyllou, Goran Radanovic:
Performative Reinforcement Learning. - Dongqi Fu, Jingrui He, Hanghang Tong, Ross Maciejewski:
Privacy-preserving Graph Analytics: Secure Generation and Federated Learning. - Weilun Wang, Jianmin Bao, Wengang Zhou, Dongdong Chen, Dong Chen, Lu Yuan, Houqiang Li:
Semantic Image Synthesis via Diffusion Models. - Yanwei Wang, Ching-Yun Ko:
Visual Pre-training for Navigation: What Can We Learn from Noise? - Christoph Matthies, Mary Sánchez-Gordón, Jens Bæk Jørgensen, Lutz Prechelt:
"Communication Is a Scarce Resource!": A Summary of CHASE'22 Conference Discussions. - Paul Pu Liang, Yiwei Lyu, Gunjan Chhablani, Nihal Jain, Zihao Deng, Xingbo Wang, Louis-Philippe Morency, Ruslan Salakhutdinov:
MultiViz: An Analysis Benchmark for Visualizing and Understanding Multimodal Models. - Shuja Khalid, Francisco Matos, Ayman Abunimer, Joel Bartlett, Richard Duszak, Michal Horny, Judy Gichoya, Imon Banerjee, Hari Trivedi:
Advances in Prediction of Readmission Rates Using Long Term Short Term Memory Networks on Healthcare Insurance Data. - Zhijie Wang, Masanori Suganuma, Takayuki Okatani:
Rethinking Unsupervised Domain Adaptation for Semantic Segmentation. - Jung Hwan Heo, Arash Fayyazi, Amirhossein Esmaili, Massoud Pedram:
Sparse Periodic Systolic Dataflow for Lowering Latency and Power Dissipation of Convolutional Neural Network Accelerators. - Noman Bashir, David E. Irwin, Prashant J. Shenoy, Abel Souza:
Sustainable Computing - Without the Hot Air. - Hanieh Hashemi, Yongqin Wang, Murali Annavaram:
DarKnight: An Accelerated Framework for Privacy and Integrity Preserving Deep Learning Using Trusted Hardware. - Mycal Tucker, Julie Shah, Roger Levy, Noga Zaslavsky:
Towards Human-Agent Communication via the Information Bottleneck Principle. - Timo Gervens, Martin Grohe:
Graph Similarity Based on Matrix Norms. - Lionel Nganyewou Tidjon, Foutse Khomh:
Threat Assessment in Machine Learning based Systems. - Matthew Jagielski, Om Thakkar, Florian Tramèr, Daphne Ippolito, Katherine Lee, Nicholas Carlini, Eric Wallace, Shuang Song, Abhradeep Thakurta, Nicolas Papernot, Chiyuan Zhang:
Measuring Forgetting of Memorized Training Examples. - Ronald Fagin, Jonathan Lenchner, Nikhil Vyas, Ryan Williams:
On the Number of Quantifiers as a Complexity Measure. - Mark Endo, Kathleen L. Poston, Edith V. Sullivan, Li Fei-Fei, Kilian M. Pohl, Ehsan Adeli:
GaitForeMer: Self-Supervised Pre-Training of Transformers via Human Motion Forecasting for Few-Shot Gait Impairment Severity Estimation. - Tsuyoshi Murata, Naveed Afzal:
Modularity Optimization as a Training Criterion for Graph Neural Networks. - Nuha Albadi, Maram Kurdi, Shivakant Mishra:
Deradicalizing YouTube: Characterization, Detection, and Personalization of Religiously Intolerant Arabic Videos. - Yen-Chang Hsu, Ting Hua, Sungen Chang, Qian Lou, Yilin Shen, Hongxia Jin:
Language model compression with weighted low-rank factorization. - Mengya Xu, Mobarakol Islam, Hongliang Ren:
Rethinking Surgical Captioning: End-to-End Window-Based MLP Transformer Using Patches. - Kasra Ghasemi, Sadra Sadraddini, Calin Belta:
Decentralized Signal Temporal Logic Control for Perturbed Interconnected Systems via Assume-Guarantee Contract Optimization. - Sanaz Taheri Boshrooyeh, Oskar Thorén, Barry Whitehat, Wei Jie Koh, Onur A. Kilic, Kobi Gurkan:
Privacy-Preserving Spam-Protected Gossip-Based Routing. - Sanaz Taheri Boshrooyeh, Oskar Thorén, Barry Whitehat, Wei Jie Koh, Onur A. Kilic, Kobi Gurkan:
WAKU-RLN-RELAY: Privacy-Preserving Peer-to-Peer Economic Spam Protection. - Xinshao Wang, Yang Hua, Elyor Kodirov, Sankha Subhra Mukherjee, David A. Clifton, Neil M. Robertson:
ProSelfLC: Progressive Self Label Correction Towards A Low-Temperature Entropy State. - Tiziano Dalmonte, Andrea Mazzullo, Ana Ozaki:
Reasoning in Non-normal Modal Description Logics. - Arpan Biswas, Rama K. Vasudevan, Maxim A. Ziatdinov, Sergei V. Kalinin:
Optimizing Training Trajectories in Variational Autoencoders via Latent Bayesian Optimization Approach. - Alex Tong Lin, Stanley J. Osher:
Multi-Agent Shape Control with Optimal Transport. - Faical Khennoufa, Khelil Abdellatif, Ferdi Kara, Hakan Kaya, Xingwang Li, Khaled M. Rabie, Halim Yanikomeroglu:
A Hybrid Energy Harvesting Protocol for Cooperative NOMA: Error Performance Approach. - Xiuyuan Lu, Ian Osband, Seyed Mohammad Asghari, Sven Gowal, Vikranth Dwaracherla, Zheng Wen, Benjamin Van Roy:
Robustness of Epinets against Distributional Shifts. - Bohui Zhang, Filip Ilievski, Pedro A. Szekely:
Enriching Wikidata with Linked Open Data. - Beddiaf Safia, Khelil Abdellatif, Faical Khennoufa, Ferdi Kara, Hakan Kaya, Xingwang Li, Khaled M. Rabie, Halim Yanikomeroglu:
Error Analysis of Cooperative NOMA with Practical Constraints: Hardware-Impairment, Imperfect SIC and CSI. - Sunyi Zheng, Jingxiong Li, Zhongyi Shui, Chenglu Zhu, Yunlong Zhang, Pingyi Chen, Lin Yang:
ChrSNet: Chromosome Straightening using Self-attention Guided Networks. - Haoran Yang, Hongxu Chen, Sixiao Zhang, Xiangguo Sun, Qian Li, Guandong Xu:
Generating Counterfactual Hard Negative Samples for Graph Contrastive Learning. - Yiming Huo:
Space Broadband Access: The Race Has Just Begun. - Chemseddine Benkalfate, Mohammed Feham, Achour Ouslimani, Abed-Elhak Kasbari:
UWB patch antenna design and realization in the bandwidth 780 MHz to 4.22 GHz. - Stefano Bonafini, Claudio Sacchi, Riccardo Bassoli, Fabrizio Granelli, Koteswararao Kondepu, Frank H. P. Fitzek:
An Analytical Study on Functional Split in Martian 3D Networks. - Shafkat Islam, Ioannis Zografopoulos, Md Tamjid Hossain, Shahriar Badsha, Charalambos Konstantinou:
A Resource Allocation Scheme for Energy Demand Management in 6G-enabled Smart Grid. - Leonardo Badia, Andrea Bedin:
Blockage-Peeking Game of Mobile Strategic Nodes in Millimeter Wave Communications. - Haruaki Tanaka, Yusuke Yamasaki, Satoshi Yasuda, Nobuyasu Shiga, Kenichi Takizawa, Nicolas Chauvet, Ryoichi Horisaki, Makoto Naruse:
Experimental Demonstration of Delay-Bounded Wireless Network Based on Precise Time Synchronization. - Luliang Jia, Nan Qi, Feihuang Chu, Shengliang Fang, Ximing Wang, Shuli Ma, Shuo Feng:
Game-theoretic Learning Anti-jamming Approaches in Wireless Networks. - Xuechen Li, Daogao Liu, Tatsunori Hashimoto, Huseyin A. Inan, Janardhan Kulkarni, Yin Tat Lee, Abhradeep Guha Thakurta:
When Does Differentially Private Learning Not Suffer in High Dimensions? - Nyle Siddiqui, Rushit Dave:
Mitigating Presentation Attack using DCGAN and Deep CNN. - Henry Arguello, Jorge Bacca, Hasindu Kariyawasam, Edwin Vargas, Miguel Marquez, Ramith Hettiarachchi, Hans Garcia, Kithmini Herath, Udith Haputhanthri, Balpreet Singh Ahluwalia, Peter T. C. So, Dushan N. Wadduwage, Chamira U. S. Edussooriya:
Deep Optical Coding Design in Computational Imaging. - Shuowei Cai, Di Chai, Liu Yang, Junxue Zhang, Yilun Jin, Leye Wang, Kun Guo, Kai Chen:
Secure Forward Aggregation for Vertical Federated Neural Networks. - Peizheng Li, Xiaoyang Wang, Robert J. Piechocki, Shipra Kapoor, Angela Doufexi, Arjun Parekh:
Variational Autoencoder Assisted Neural Network Likelihood RSRP Prediction Model. - Zhongxiang Chang, Abraham P. Punnen, Zhongbao Zhou:
An adaptive bi-objective optimization algorithm for the satellite image data downlink scheduling problem considering request split. - Wei-Chang Yeh:
Novel Recursive Inclusion-Exclusion Technology Based on BAT and MPs for Heterogeneous-Arc Binary-State Network Reliability Problems. - Yuting Wang, Hangning Zhou, Zhigang Zhang, Chen Feng, Huadong Lin, Chaofei Gao, Yizhi Tang, Zhenting Zhao, Shiyu Zhang, Jie Guo, Xuefeng Wang, Ziyao Xu, Chi Zhang:
TENET: Transformer Encoding Network for Effective Temporal Flow on Motion Prediction. - Yan Lu, Shiqi Jiang, Ting Cao, Yuanchao Shu:
Turbo: Opportunistic Enhancement for Edge Video Analytics. - Thanitnan Kammuang, Watthanai Luealamai, Issarapong Khuankrue:
Data-Driven Model for Failure Analysis of Internet of Things Devices: A Preliminary Study. - Zhongyi Shui, Shichuan Zhang, Chenglu Zhu, Bingchuan Wang, Pingyi Chen, Sunyi Zheng, Lin Yang:
End-to-end cell recognition by point annotation. - Mingyuan Luo, Xin Yang, Hongzhang Wang, Liwei Du, Dong Ni:
Deep Motion Network for Freehand 3D Ultrasound Reconstruction. - Marissa Ramirez de Chanlatte, Matheus Gadelha, Thibault Groueix, Radomír Mech:
Leveraging Monocular Disparity Estimation for Single-View Reconstruction. - Qingwen Zhang, Mingkai Tang, Ruoyu Geng, Feiyi Chen, Ren Xin, Lujia Wang:
MMFN: Multi-Modal-Fusion-Net for End-to-End Driving. - Feiliang Ren, Yongkang Liu, Bochao Li, Shilei Liu, Bingchao Wang, Jiaqi Wang, Chunchao Liu, Qi Ma:
An Understanding-Oriented Robust Machine Reading Comprehension Model. - Cheng Li, Yangxin Liu:
Rethinking Query-Key Pairwise Interactions in Vision Transformers. - Rishab Mitra, Arpit Narechania, Alex Endert, John T. Stasko:
Facilitating Conversational Interaction in Natural Language Interfaces for Visualization. - Minh Cao, Ramin Ramezani:
Data generation using simulation technology to improve perception mechanism of autonomous vehicles. - Mingkun Yang, Minghui Liao, Pu Lu, Jing Wang, Shenggao Zhu, Hualin Luo, Qi Tian, Xiang Bai:
Reading and Writing: Discriminative and Generative Modeling for Self-Supervised Text Recognition. - Albert Wu, Michelle Guo, C. Karen Liu:
Learning Diverse and Physically Feasible Dexterous Grasps with Generative Model and Bilevel Optimization. - Fang Da:
Comprehensive Reactive Safety: No Need For A Trajectory If You Have A Strategy. - Francesco Corti, Rahim Entezari, Sara Hooker, Davide Bacciu, Olga Saukh:
Studying the impact of magnitude pruning on contrastive learning methods. - Kevin Tracy, Taylor A. Howell, Zachary Manchester:
DiffPills: Differentiable Collision Detection for Capsules and Padded Polygons. - Wonyoung Shin, Jonghun Park, Taekang Woo, Yongwoo Cho, Kwangjin Oh, Hwanjun Song:
e-CLIP: Large-Scale Vision-Language Representation Learning in E-commerce. - Li Ma, Xiaoyu Li, Jing Liao, Xuan Wang, Qi Zhang, Jue Wang, Pedro V. Sander:
Neural Parameterization for Dynamic Human Head Editing. - Bernard Chazelle, Kritkorn Karntikoon:
Quick Relaxation in Collective Motion. - Peter Henderson, Mark S. Krass, Lucia Zheng, Neel Guha, Christopher D. Manning, Dan Jurafsky, Daniel E. Ho:
Pile of Law: Learning Responsible Data Filtering from the Law and a 256GB Open-Source Legal Dataset. - Tiancheng Zhao, Tianqi Zhang, Mingwei Zhu, Haozhan Shen, Kyusong Lee, Xiaopeng Lu, Jianwei Yin:
VL-CheckList: Evaluating Pre-trained Vision-Language Models with Objects, Attributes and Relations. - Yuchu Liu, David Issa Mattos, Jan Bosch, Helena Holmström Olsson, Jonn Lantz:
Bayesian causal inference in automotive software engineering and online evaluation. - Yeonsoo Park, Soohyun Bae:
Keeping Less is More: Point Sparsification for Visual SLAM. - Peipei Liu, Hong Li, Zuoguang Wang, Jie Liu, Yimo Ren, Hongsong Zhu:
Multi-features based Semantic Augmentation Networks for Named Entity Recognition in Threat Intelligence. - Sihun Baek, Jihong Park, Praneeth Vepakomma, Ramesh Raskar, Mehdi Bennis, Seong-Lyun Kim:
Visual Transformer Meets CutMix for Improved Accuracy, Communication Efficiency, and Data Privacy in Split Learning. - Muqiao Yang, Joseph Konan, David Bick, Anurag Kumar, Shinji Watanabe, Bhiksha Raj:
Improving Speech Enhancement through Fine-Grained Speech Characteristics. - Wenjia Zhang, Haoran Xu, Haoyi Niu, Peng Cheng, Ming Li, Heming Zhang, Guyue Zhou, Xianyuan Zhan:
Discriminator-Guided Model-Based Offline Imitation Learning. - Zihan Lin, Jincheng Yu, Lipu Zhou, Xudong Zhang, Jian Wang, Yu Wang:
Point Cloud Change Detection With Stereo V-SLAM: Dataset, Metrics and Baseline. - Chengwei Pan, Gangming Zhao, Junjie Fang, Baolian Qi, Jiaheng Liu, Chaowei Fang, Dingwen Zhang, Jinpeng Li, Yizhou Yu:
Computer-aided Tuberculosis Diagnosis with Attribute Reasoning Assistance. - Julio A. Placed, Jared Strader, Henry Carrillo, Nikolay Atanasov, Vadim Indelman, Luca Carlone, José A. Castellanos:
A Survey on Active Simultaneous Localization and Mapping: State of the Art and New Frontiers. - Görkay Aydemir, Adil Kaan Akan, Fatma Güney:
Trajectory Forecasting on Temporal Graphs. - Jichao Zhang, Jingjing Chen, Hao Tang, Enver Sangineto, Peng Wu, Yan Yan, Nicu Sebe, Wei Wang:
Unsupervised High-Resolution Portrait Gaze Correction and Animation. - William S. Moses, Ivan R. Ivanov, Jens Domke, Toshio Endo, Johannes Doerfert, Oleksandr Zinenko:
High-Performance GPU-to-CPU Transpilation and Optimization via High-Level Parallel Constructs. - Jun Wu, Lilu Liu, Yue Wang, Rong Xiong:
Towards Two-view 6D Object Pose Estimation: A Comparative Study on Fusion Strategy. - Isabella María Sierra-Ponce, Angela Mireya León-Mecías, Damian Valdés-Santiago:
Wavelet leader based formalism to compute multifractal features for classifying lung nodules in X-ray images. - Ignjat Pejic, Rui Wang, Kaitai Liang:
Effect of Homomorphic Encryption on the Performance of Training Federated Learning Generative Adversarial Networks. - Nurul Huda Mahmood, Gilberto Berardinelli, Emil J. Khatib, Ramin Hashemi, Carlos H. M. de Lima, Matti Latva-aho:
A Functional Architecture for 6G Special Purpose Industrial IoT Networks. - Patrick Gelhausen, M. Fischer, Gabriele Peters:
Affordance Extraction with an External Knowledge Database for Text-Based Simulated Environments. - Linjie Yang, Pingzhi Fan, Li Li, Zhiguo Ding, Li Hao:
Grant-Free Transmission by LDPC Matrix Mapping and Integrated Cover-MPA Detector. - Shengshan Hu, Ziqi Zhou, Yechao Zhang, Leo Yu Zhang, Yifeng Zheng, Yuanyuan He, Hai Jin:
BadHash: Invisible Backdoor Attacks against Deep Hashing with Clean Label. - Maciej Wozniak, Anna Szyszka, Sergio Rojas:
A study of efficient concurrent integration methods of B-Spline basis functions in IGA-FEM. - Jiaxin Wu, Chong-Wah Ngo, Wing Kwong Chan, Zhijian Hou:
(Un)likelihood Training for Interpretable Embedding. - Yuxin Song, Ruolin Zhu, Min Yang, Dongliang He:
DALG: Deep Attentive Local and Global Modeling for Image Retrieval. - Miguel Suau, Jinke He, Mustafa Mert Çelikok, Matthijs T. J. Spaan, Frans A. Oliehoek:
Distributed Influence-Augmented Local Simulators for Parallel MARL in Large Networked Systems. - Denis Barucic, Jan Kybic:
Learning to segment from object sizes. - Cong Chen, Ahmed S. Alahmed, Timothy D. Mount, Lang Tong:
Competitive DER Aggregation for Participation in Wholesale Markets. - Stefan Haller, Lorenz Feineis, Lisa Hutschenreiter, Florian Bernard, Carsten Rother, Dagmar Kainmüller, Paul Swoboda, Bogdan Savchynskyy:
A Comparative Study of Graph Matching Algorithms in Computer Vision. - Marco Cotogni, Claudio Cusano:
Offset equivariant networks and their applications. - Erik Burman, Peter Hansbo, Mats G. Larson:
The augmented Lagrangian method as a framework for stabilised methods in computational mechanics. - Kaspar Rosager Ludvigsen, Shishir Nagaraja, Angela Daly:
The Dangers of Computational Law and Cybersecurity; Perspectives from Engineering and the AI Act. - Matteo Zecchin, Sangwoo Park, Osvaldo Simeone, Marios Kountouris, David Gesbert:
Robust Bayesian Learning for Reliable Wireless AI: Framework and Applications. - Cedric Richter, Heike Wehrheim:
Can we learn from developer mistakes? Learning to localize and repair real bugs from real bug fixes. - Filiberto Fele, Antonio de Paola, David Angeli, Goran Strbac:
A framework for receding-horizon control in infinite-horizon aggregative games. - Fabrizio d'Amore:
Quality increases as the error rate decreases. - Francesca Bonizzoni, Guido Kanschat:
A Tensor-Product Finite Element Cochain Complex with Arbitrary Continuity. - Edirlei Soares de Lima, António L. Furtado, Bruno Feijó, Marco A. Casanova:
A Note on Process Modelling: Combining Situation Calculus and Petri Nets. - Gang He, Kepeng Xu, Li Xu, Chang Wu, Ming Sun, Xing Wen, Yu-Wing Tai