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ORCIDCoRR, July 2024
- Patricia Arroba, José L. Risco-Martín, Marina Zapater, José M. Moya, José L. Ayala:
Enhancing Regression Models for Complex Systems Using Evolutionary Techniques for Feature Engineering. - Jia Wei, Xingjun Zhang, Witold Pedrycz, Longxiang Wang, Jie Zhao:
Dual-pronged deep learning preprocessing on heterogeneous platforms with CPU, GPU and CSD. - Sion Kim, Ezra Kissel, Karel Matous:
Adaptive and Parallel Multiscale Framework for Modeling Cohesive Failure in Engineering Scale Systems. - Antonios Makris, Theodoros Theodoropoulos, Evangelos Psomakelis, Emanuele Carlini, Matteo Mordacchini, Patrizio Dazzi, Konstantinos Tserpes:
Graph Neural Networks and Reinforcement Learning for Proactive Application Image Placement. - Xinshi Zang, Wenhao Lin, Shiju Lin, Jinwei Liu, Evangeline F. Y. Young:
An Open-Source Fast Parallel Routing Approach for Commercial FPGAs. - Grant Wilkins, Srinivasan Keshav, Richard Mortier:
Hybrid Heterogeneous Clusters Can Lower the Energy Consumption of LLM Inference Workloads. - Asif Hamid, Danish Rafiq, Shahkar Ahmad Nahvi, Mohammad Abid Bazaz:
Enhancing Computational Efficiency in Multiscale Systems Using Deep Learning of Coordinates and Flow Maps. - Ioannis Korontanis, Antonios Makris, Konstantinos Tserpes:
Converter: A CEAML Reasoner Python package to Streamline Orchestration Across Cloud and Edge Continuum. - Ashish Manchanda, Prem Prakash Jayaraman, Abhik Banerjee, Arkady B. Zaslavsky, Shakthi Weerasinghe, Guang-Li Huang:
A Hybrid Approach to Monitor Context Parameters for Optimising Caching for Context-Aware IoT Applications. - Gang Liu, Zhenxiang Wang, Ziyang He, Shanshan Guo, Rui Zhang, Dezhong Yao:
Simplifying Kinematic Parameter Estimation in sEMG Prosthetic Hands: A Two-Point Approach. - Theodoros Theodoropoulos, John Violos, Antonios Makris, Konstantinos Tserpes:
A New Approach for Evaluating the Performance of Distributed Latency-Sensitive Services. - Lehao Wang, Zhiwen Yu, Sicong Liu, Chenshu Wu, Xiangrui Xu, Bin Guo:
AdaBridge: Dynamic Data and Computation Reuse for Efficient Multi-task DNN Co-evolution in Edge Systems. - Hugo Ledoux, Gina Stavropoulou, Balázs Dukai:
Streaming CityJSON datasets. - Takahiro Katagiri, Masahiko Sato:
An Auto-tuning Method for Run-time Data Transformation for Sparse Matrix-Vector Multiplication. - Feibo Jiang, Chuanguo Tang, Li Dong, Kezhi Wang, Kun Yang, Cunhua Pan:
Visual Language Model based Cross-modal Semantic Communication Systems. - Farzad Farhadzadeh, Qiqi Hou, Hoang Le, Amir Said, Randall Rauwendaal, Alex Bourd, Fatih Porikli:
Neural Graphics Texture Compression Supporting Random Acces. - Vikranth Srivatsa, Zijian He, Reyna Abhyankar, Dongming Li, Yiying Zhang:
Preble: Efficient Distributed Prompt Scheduling for LLM Serving. - Lang He, Kai Chen, Junnan Zhao, Yimeng Wang, Ercheng Pei, Haifeng Chen, Jiewei Jiang, Shiqing Zhang, Jie Zhang, Zhongmin Wang, Tao He, Prayag Tiwari:
LMVD: A Large-Scale Multimodal Vlog Dataset for Depression Detection in the Wild. - Jinwei Lin:
Anywhere: A Web Crawler Automation Management Interface. - Patrick Diehl, Gregor Daiß, Steven R. Brandt, Alireza Kheirkhahan, Srinivas Yadav Singanaboina, Dominic Marcello, Chris Taylor, John Leidel, Hartmut Kaiser:
Distributed astrophysics simulations using Octo-Tiger with RISC-V CPUs using HPX and Kokkos. - Pujiang He, Shan Zhou, Changqing Li, Wenhuan Huang, Weifei Yu, Duyi Wang, Chen Meng, Sheng Gui:
Distributed Inference Performance Optimization for LLMs on CPUs. - Peiyao Sheng, Chenyuan Wu, Dahlia Malkhi, Michael K. Reiter, Chrysoula Stathakopoulou, Michael Wei, Maofan Yin:
On Orchestrating Parallel Broadcasts for Distributed Ledgers. - Holger R. Roth, Daniel J. Beutel, Yan Cheng, Javier Fernández-Marqués, Heng Pan, Chester Chen, Zhihong Zhang, Yuhong Wen, Sean Yang, Isaac Yang, Yuan-Ting Hsieh, Ziyue Xu, Daguang Xu, Nicholas D. Lane, Andrew Feng:
Supercharging Federated Learning with Flower and NVIDIA FLARE. - Yohai Trabelsi, Pan Xu, Sarit Kraus:
Design a Win-Win Strategy That Is Fair to Both Service Providers and Tasks When Rejection Is Not an Option. - Anurag Mashruwala:
Distributed Systems in Fintech. - Breno G. S. Costa, Abhik Banerjee, Prem Prakash Jayaraman, Leonardo R. Carvalho, João Bachiega Jr., Aleteia Araujo:
Achieving Observability on Fog Computing with the use of open-source tools. - Simone Bocca, Amarsanaa Ganbold, Tsolmon Zundui:
LiveData - A Worldwide Data Mesh for Stratified Data. - Sherry Ruan, Tian Zhao:
JungleGPT: Designing and Optimizing Compound AI Systems for E-Commerce. - Nick Rackley, Bryan Gonzalez, Casey Morrison:
Stream-K Optimization and Exploration. - Alexandros Gazis, Eleftheria Katsiri:
Streamline Intelligent Crowd Monitoring with IoT Cloud Computing Middleware. - Dewen Guo, Minchen Li, Yin Yang, Guoping Wang, Sheng Li:
Barrier-Augmented Lagrangian for GPU-based Elastodynamic Contact. - Archit Patke, Dhemath Reddy, Saurabh Jha, Haoran Qiu, Christian Pinto, Shengkun Cui, Chandra Narayanaswami, Zbigniew Kalbarczyk, Ravishankar K. Iyer:
One Queue Is All You Need: Resolving Head-of-Line Blocking in Large Language Model Serving. - Priyanka Mudgal, Rita H. Wouhaybi:
Ensemble Method for System Failure Detection Using Large-Scale Telemetry Data. - Daniel Lersch, Malachi Schram, Zhenyu Dai, Kishansingh Rajput, Xingfu Wu, N. Sato, J. Taylor Childers:
SAGIPS: A Scalable Asynchronous Generative Inverse Problem Solver. - Ramon Canal, Stefano Di Carlo, Dimitris Gizopoulos, Alberto Scionti, Francesco Lubrano, Josep Lluis Berral, Aaron Call, Diego Marron, Konstantinos Nikas, Dionisios N. Pnevmatikatos, Daniel Raho, Alvise Rigo, Yannis Papaefstathiou, José-María Arnau, Angelos Arelakis:
Vitamin-V: Expanding Open-Source RISC-V Cloud Environments. - Habtom Kahsay Gidey, Mario Kesseler, Patrick Stangl, Peter Hillmann, Andreas Karcher:
A Document-based Knowledge Discovery with Microservices Architecture. - Jiaxin Deng, Shiyao Wang, Yuchen Wang, Jiansong Qi, Liqin Zhao, Guorui Zhou, Gaofeng Meng:
MMBee: Live Streaming Gift-Sending Recommendations via Multi-Modal Fusion and Behaviour Expansion. - Paras Stefanopoulos, Ahad N. Zehmakan, Sourin Chatterjee:
A First Principles Approach to Trust-Based Recommendation Systems. - Giuseppe Serra, Peter Tino, Zhao Xu, Xin Yao:
An Interpretable Alternative to Neural Representation Learning for Rating Prediction - Transparent Latent Class Modeling of User Reviews. - Erik Heiland, Peter Hillmann, Andreas Karcher:
Constraint based Modeling according to Reference Design. - Rickard Brüel Gabrielsson, Jiacheng Zhu, Onkar Bhardwaj, Leshem Choshen, Kristjan H. Greenewald, Mikhail Yurochkin, Justin Solomon:
Compress then Serve: Serving Thousands of LoRA Adapters with Little Overhead. - Arya Chakraborty:
Perceptron Collaborative Filtering. - Kai Siong Yow, Chunbo Li:
D&A: Resource Optimisation in Personalised PageRank Computations Using Multi-Core Machines. - Ishaan Lagwankar:
Tracing Distributed Algorithms Using Replay Clocks. - Mert Esencan, Tarun Advaith Kumar, Ata Akbari Asanjan, P. Aaron Lott, Masoud Mohseni, Can Unlu, Davide Venturelli, Alan Ho:
Combinatorial Reasoning: Selecting Reasons in Generative AI Pipelines via Combinatorial Optimization. - Yu Bai, Yukai Miao, Li Chen, Dan Li, Yanyu Ren, Hongtao Xie, Ce Yang, Xuhui Cai:
Pistis-RAG: A Scalable Cascading Framework Towards Trustworthy Retrieval-Augmented Generation. - Rui Zhang, Lei Zhang:
Provably Secure Non-interactive Key Exchange Protocol for Group-Oriented Applications in Scenarios with Low-Quality Networks. - Anton Xue, Avishree Khare, Rajeev Alur, Surbhi Goel, Eric Wong:
Logicbreaks: A Framework for Understanding Subversion of Rule-based Inference. - Rongzhe Wei, Eli Chien, Pan Li:
Differentially Private Graph Diffusion with Applications in Personalized PageRanks. - Ruoyu Qin, Zheming Li, Weiran He, Mingxing Zhang, Yongwei Wu, Weimin Zheng, Xinran Xu:
Mooncake: A KVCache-centric Disaggregated Architecture for LLM Serving. - Mariam Yahya, Alexander Conzelmann, Setareh Maghsudi:
Decentralized Task Offloading and Load-Balancing for Mobile Edge Computing in Dense Networks. - Masoud Shokrnezhad, Hamidreza Mazandarani, Tarik Taleb, Jaeseung Song, Richard Li:
Semantic Revolution from Communications to Orchestration for 6G: Challenges, Enablers, and Research Directions. - Xiao Han, Chen Zhu, Xiao Hu, Chuan Qin, Xiangyu Zhao, Hengshu Zhu:
Adapting Job Recommendations to User Preference Drift with Behavioral-Semantic Fusion Learning. - Thomas Mulc, Jennifer L. Steele:
Compressing Search with Language Models. - Ju-Seung Byun, Jiyun Chun, Jihyung Kil, Andrew Perrault:
ARES: Alternating Reinforcement Learning and Supervised Fine-Tuning for Enhanced Multi-Modal Chain-of-Thought Reasoning Through Diverse AI Feedback. - Jianyu Wei, Shijie Cao, Ting Cao, Lingxiao Ma, Lei Wang, Yanyong Zhang, Mao Yang:
T-MAC: CPU Renaissance via Table Lookup for Low-Bit LLM Deployment on Edge. - Malay Haldar, Hongwei Zhang, Kedar Bellare, Sherry Chen, Soumyadip Banerjee, Xiaotang Wang, Mustafa Abdool, Huiji Gao, Pavan Tapadia, Liwei He, Sanjeev Katariya:
Learning to Rank for Maps at Airbnb. - Mohammed Elhenawy, Ahmad Abutahoun, Taqwa I. Alhadidi, Ahmed Jaber, Huthaifa I. Ashqar, Shadi Jaradat, Ahmed Abdelhay, Sebastien Glaser, Andry Rakotonirainy:
Visual Reasoning and Multi-Agent Approach in Multimodal Large Language Models (MLLMs): Solving TSP and mTSP Combinatorial Challenges. - Giuseppe Silano, Evangelos Rikos, Vetrivel Rajkumar, Oliver Gehrke, Tesfaye Amare Zerihun, Carmine Rodio, Riccardo Lazzari:
Integrating Power-to-Heat Services in Geographically Distributed Multi-Energy Systems: A Case Study from the ERIGrid 2.0 Project. - William Noffsinger:
Predictive accuracy of recommender algorithms. - Xiaoling Zhou, Wei Ye, Yidong Wang, Chaoya Jiang, Zhemg Lee, Rui Xie, Shikun Zhang:
Enhancing In-Context Learning via Implicit Demonstration Augmentation. - Aakash Sudhirbhai Vora, Dhrumil Chetankumar Joshi, Aksh Kantibhai Patel:
Hybrid Approach to Parallel Stochastic Gradient Descent. - Biao Wu, Fang Meng, Ling Chen:
Curriculum Learning with Quality-Driven Data Selection. - Iván Matas, Carmen Serrano, Francisca Silva, Amalia Serrano, Tomás Toledo-Pastrana, Begoña Acha:
AI-Driven Skin Cancer Diagnosis: Grad-CAM and Expert Annotations for Enhanced Interpretability. - Yuqing Qian, Ziyu Zheng, Prayag Tiwari, Yijie Ding, Quan Zou:
Multiple Kronecker RLS fusion-based link propagation for drug-side effect prediction. - Ilia Shumailov, Jamie Hayes, Eleni Triantafillou, Guillermo Ortiz-Jiménez, Nicolas Papernot, Matthew Jagielski, Itay Yona, Heidi Howard, Eugene Bagdasaryan:
UnUnlearning: Unlearning is not sufficient for content regulation in advanced generative AI. - Zuzanna Gawrysiak, Agata Zywot, Agnieszka Lawrynowicz:
WineGraph: A Graph Representation For Food-Wine Pairing. - Sebastian T. Vincent, Charlotte Prescott, Chris Bayliss, Chris Oakley, Carolina Scarton:
A Case Study on Contextual Machine Translation in a Professional Scenario of Subtitling. - Ali Doosthosseini, Jonathan Decker, Hendrik Nolte, Julian M. Kunkel:
Chat AI: A Seamless Slurm-Native Solution for HPC-Based Services. - Ben Fauber:
Accurate Prediction of Ligand-Protein Interaction Affinities with Fine-Tuned Small Language Models. - Hao Yu, Xin Yang, Xin Gao, Yan Kang, Hao Wang, Junbo Zhang, Tianrui Li:
Personalized Federated Continual Learning via Multi-granularity Prompt. - Zihao Wang, Shaofei Cai, Zhancun Mu, Haowei Lin, Ceyao Zhang, Xuejie Liu, Qing Li, Anji Liu, Xiaojian Ma, Yitao Liang:
OmniJARVIS: Unified Vision-Language-Action Tokenization Enables Open-World Instruction Following Agents. - Zhengbo Zhang, Yuxi Zhou, Jia Gong, Jun Liu, Zhigang Tu:
Instance Temperature Knowledge Distillation. - Mahmoud Ibrahim, Yasmina Al Khalil, Sina Amirrajab, Chang Sun, Marcel Breeuwer, Josien P. W. Pluim, Bart Elen, Gokhan Ertaylan, Michel Dumontier:
Generative AI for Synthetic Data Across Multiple Medical Modalities: A Systematic Review of Recent Developments and Challenges. - Xinji Mai, Zeng Tao, Junxiong Lin, Haoran Wang, Yang Chang, Yanlan Kang, Yan Wang, Wenqiang Zhang:
From Efficient Multimodal Models to World Models: A Survey. - Yuntao Shou, Wei Ai, Jiayi Du, Tao Meng, Haiyan Liu:
Efficient Long-distance Latent Relation-aware Graph Neural Network for Multi-modal Emotion Recognition in Conversations. - Abraham G. Taye, Sador Yemane, Eshetu Negash, Yared Minwuyelet, Moges Abebe, Melkamu Hunegnaw Asmare:
Automated Web-Based Malaria Detection System with Machine Learning and Deep Learning Techniques. - Ibrahim Abdelaziz, Kinjal Basu, Mayank Agarwal, Sadhana Kumaravel, Matthew Stallone, Rameswar Panda, Yara Rizk, GP Bhargav, Maxwell Crouse, Chulaka Gunasekara, Shajith Ikbal, Sachin Joshi, Hima Karanam, Vineet Kumar, Asim Munawar, Sumit Neelam, Dinesh Raghu, Udit Sharma, Adriana Meza Soria, Dheeraj Sreedhar, Praveen Venkateswaran, Merve Unuvar, David Cox, Salim Roukos, Luis A. Lastras, Pavan Kapanipathi:
Granite-Function Calling Model: Introducing Function Calling Abilities via Multi-task Learning of Granular Tasks. - Wilkie Olin-Ammentorp, Xingfu Wu, Andrew A. Chien:
Modeling Performance of Data Collection Systems for High-Energy Physics. - Guangba Yu, Gou Tan, Haojia Huang, Zhenyu Zhang, Pengfei Chen, Roberto Natella, Zibin Zheng:
A Survey on Failure Analysis and Fault Injection in AI Systems. - Sowmya Sankaran:
Multi-Species Object Detection in Drone Imagery for Population Monitoring of Endangered Animals. - Haoyi Xiong, Jiang Bian, Yuchen Li, Xuhong Li, Mengnan Du, Shuaiqiang Wang, Dawei Yin, Sumi Helal:
When Search Engine Services meet Large Language Models: Visions and Challenges. - Xian Wu, Qingchuan Tao, Shuang Wang:
RepAct: The Re-parameterizable Adaptive Activation Function. - Haiyang Shen, Yue Li, Desong Meng, Dongqi Cai, Sheng Qi, Li Zhang, Mengwei Xu, Yun Ma:
ShortcutsBench: A Large-Scale Real-world Benchmark for API-based Agents. - Mazen Elabd, Sardar Jaf:
A Simple Attention-Based Mechanism for Bimodal Emotion Classification. - Mike Thelwall:
Quantitative Methods in Research Evaluation Citation Indicators, Altmetrics, and Artificial Intelligence. - Nila Masrourisaadat, Nazanin Sedaghatkish, Fatemeh Sarshartehrani, Edward A. Fox:
Analyzing Quality, Bias, and Performance in Text-to-Image Generative Models. - Melanie Schaller, Daniel Schlör, Andreas Hotho:
ModeConv: A Novel Convolution for Distinguishing Anomalous and Normal Structural Behavior. - Youhua Xia, Tiehua Zhang, Jiong Jin, Ying He, Fei Yu:
Towards Secure and Efficient Data Scheduling for Vehicular Social Networks. - Christopher Irwin, Flavio Mignone, Stefania Montani, Luigi Portinale:
Graph Neural Networks for Gut Microbiome Metaomic data: A preliminary work. - Evgenia Rusak, Patrik Reizinger, Attila Juhos, Oliver Bringmann, Roland S. Zimmermann, Wieland Brendel:
InfoNCE: Identifying the Gap Between Theory and Practice. - Zhanteng Xie, Philip M. Dames:
SCOPE: Stochastic Cartographic Occupancy Prediction Engine for Uncertainty-Aware Dynamic Navigation. - Shahad Al-Khalifa, Hend Al-Khalifa:
The Qiyas Benchmark: Measuring ChatGPT Mathematical and Language Understanding in Arabic. - Dat Hong, Philip M. Polgreen, Alberto Maria Segre:
Predicting Elevated Risk of Hospitalization Following Emergency Department Discharges. - Ahsan Mahmood, Junier Oliva, Martin Styner:
Localizing Anomalies via Multiscale Score Matching Analysis. - Sai Krishna Revanth Vuruma, Dezhi Wu, Saborny Sen Gupta, Lucas Aust, Valerie Lookingbill, Wyatt Bellamy, Yang Ren, Erin Kasson, Li-Shiun Chen, Patricia A. Cavazos-Rehg, Dian Hu, Ming Huang:
Can GPT-4 Help Detect Quit Vaping Intentions? An Exploration of Automatic Data Annotation Approach. - Victor A. Borza, Andrew Estornell, Chien-Ju Ho, Bradley A. Malin, Yevgeniy Vorobeychik:
Dataset Representativeness and Downstream Task Fairness. - Eunhae Lee:
The impact of model size on catastrophic forgetting in Online Continual Learning. - Ingo Wald, Stefan Zellmann, Jefferson Amstutz, Qi Wu, Kevin S. Griffin, Milan Jaros, Stefan Wesner:
Standardized Data-Parallel Rendering Using ANARI. - Saulo Queiroz, João P. Vilela, Edmundo Monteiro:
Fast Computation of the Discrete Fourier Transform Square Index Coefficients. - Zhengyi Luo, Jiashun Wang, Kangni Liu, Haotian Zhang, Chen Tessler, Jingbo Wang, Ye Yuan, Jinkun Cao, Zihui Lin, Fengyi Wang, Jessica K. Hodgins, Kris Kitani:
SMPLOlympics: Sports Environments for Physically Simulated Humanoids. - Ali Raza, Faizan Younas:
A Novel Labeled Human Voice Signal Dataset for Misbehavior Detection. - Di Wu, Xiaoxian Shen, Kai-Wei Chang:
MetaKP: On-Demand Keyphrase Generation. - Luis E. Alvarez, Marc W. Brittain, Steven D. Young:
Tradeoffs When Considering Deep Reinforcement Learning for Contingency Management in Advanced Air Mobility. - Yuxuan Sun, Yunlong Zhang, Yixuan Si, Chenglu Zhu, Zhongyi Shui, Kai Zhang, Jingxiong Li, Xingheng Lyu, Tao Lin, Lin Yang:
PathGen-1.6M: 1.6 Million Pathology Image-text Pairs Generation through Multi-agent Collaboration. - Yu Yang, Jordi Altayó González, Ahmed Hemani:
CIS: Composable Instruction Set for Streaming Applications: Design, Modeling, and Scheduling. - Chantal Shaib, Yanai Elazar, Junyi Jessy Li, Byron C. Wallace:
Detection and Measurement of Syntactic Templates in Generated Text. - Zachary M. Boyd, Nicolas Fraiman, Jeremy L. Marzuola, Peter J. Mucha, Braxton Osting:
Targeting influence in a harmonic opinion model. - Nat McAleese, Rai Michael Pokorny, Juan Felipe Ceron Uribe, Evgenia Nitishinskaya, Maja Trebacz, Jan Leike:
LLM Critics Help Catch LLM Bugs. - Aaron Weber, Daksh Dhingra, Sawyer B. Fuller:
A flexured-gimbal 3-axis force-torque sensor reveals minimal cross-axis coupling in an insect-sized flapping-wing robot. - Chuyuan Tao, Wenbin Wan, Junjie Gao, Bihao Mo, Hunmin Kim, Naira Hovakimyan:
Resilient Estimator-based Control Barrier Functions for Dynamical Systems with Disturbances and Noise. - Mohsen Fayyaz, Fan Yin, Jiao Sun, Nanyun Peng:
Evaluating Human Alignment and Model Faithfulness of LLM Rationale. - Matthias Eberl:
A Reflection Principle for Potential Infinite Models of Type Theory. - Andrew H. Song, Richard J. Chen, Guillaume Jaume, Anurag J. Vaidya, Alexander S. Baras, Faisal Mahmood:
Multimodal Prototyping for cancer survival prediction. - Wendkûuni C. Ouédraogo, Abdoul Kader Kaboré, Haoye Tian, Yewei Song, Anil Koyuncu, Jacques Klein, David Lo, Tegawendé F. Bissyandé:
Large-scale, Independent and Comprehensive study of the power of LLMs for test case generation. - Omar Elharrouss, Rafat Damseh, Abdelkader Nasreddine Belkacem, Elarbi Badidi, Abderrahmane Lakas:
Transformer-based Image and Video Inpainting: Current Challenges and Future Directions.