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ORCID45th IPCCC 2025: Austin, TX, USA
- IEEE International Performance, Computing, and Communications Conference, IPCCC 2025, Austin, TX, USA, November 15-23, 2025. IEEE 2025, ISBN 979-8-3315-5286-2
- Shuaihua Zhao, Jian Zhou, Song Jiang:
LASER: Line-Aware and Self-Balancing Learned Index for Rapid Key Lookup. 1-8 - Vedant Mohapatra, Sasmita Mohapatra:
Affordable Crop Disease Detection with Drone Imagery and Artificial Intelligence. 1-5 - Xinyu Wang, Yinlin Ren, Zhengqiu Yang, Shao-Yong Guo, Qingfeng Li, Wenjing Li:
TMAC: A Transformer-Enabled Multi-Agent Actor-Critic Method for Low-Latency XR Delivery. 1-9 - Ravi Gupta, Shabista Haider:
BitRL-Light: 1-Bit LLM Agents with Deep Reinforcement Learning for Energy-Efficient Smart Home Lighting Optimization. 1-2 - Li Guan, Xiaodong Li, Ruoyun Zhao, Yimeng Dou, Yuan Cui, Lan Ma:
Adaptive Hash Ring-Based Efficient Fuzzy and Over-Threshold Multi-Party PSI. 1-10 - Strahinja Trecakov, Mohammad Al-Tahat, Jonathan E. Cook:
Understanding Job Configuration Impacts on Multiple Views of HPC Job Quality. 1-7 - Minsung Ko, Soohwan Jeong, Seong-Min Kim, Joongyeon Choi, Hyunggun Kim:
Performance Evaluation of GPU-Accelerated Molecular Dynamics Simulations with Controlled Atom Counts and Varing System Compositions. 1-2 - Md Saif Rahman, Marcelo M. Carvalho:
Comparative Study of Clustering Algorithms for Device Grouping in Wi-Fi HaLow Networks. 1-2 - Long Vu, Madeline Frank, Honghui Xu, Sisi Chen, Tu N. Nguyen, Selena He, Bobin Deng, Kun Suo:
Assessing and Visualizing Completeness, Co-Coverage, and Scalability in Multivariate Time-Series Data. 1-6 - Yuqi Zhang, Danyang Zheng, Huanlai Xing, Honghui Xu, Chengzong Peng, Chao Wang, Xiaojun Cao:
Towards Profits Optimization in LLM Inference Model Deployment at the Network Edge. 1-6 - Jonas Thierfeldt, Dominik Scheinert, Thorsten Wittkopp, Odej Kao:
Adaptive LLM Routing for Scientific Workflows: Predicting Query Complexity to Optimize Cost. 1-8 - Hassan Ali Khan, Muhammad Shahzad:
Dockless Electric Scooters Worldwide: Tools, Methods, and Longitudinal Analysis. 1-10 - Avery Vanausdal, Martin Burtscher:
An Efficient Push-Relabel Implementation for Max-Flow Computations on GPUs. 1-10 - Srinivasan Subramaniyan, Xiaorui Wang:
Exploiting ML Task Correlation in the Minimization of Capital Expense for GPU Data Centers. 1-8 - Panzhi Du, Jiali You, Yang Li, Jun Chen:
KRRD: An Overlay Architecture for Anti-Eavesdropping with K-Randomized Routing Dispersion. 1-7 - Sichen Zhu, Hoyeung Leung, Xiaoyi Wang, Jia Wei, Honghui Xu:
When FinTech Meets Privacy: Securing Financial LLMs with Differential Private Fine-Tuning. 1-6 - Katherine Zhang, Hasan Poonawala:
Optimizing Edge-AI on the ESP32-S3 Using SIMD. 1-2 - Sujit Maharjan, Shuaihua Zhao, Song Jiang:
Turboindex: Making a Page-Based DB Index Both Memory-Space and Disk-I/O Efficient. 1-8 - Zhengpeng Li, Shuang Zhao, Shuhui Chen, Fei Wang, Biying Wang, Minxin Wang:
TFMana: A Traffic Feature Calibration Method to Empower Reliable Network Traffic Analysis. 1-7 - Pradeeban Kathiravelu, David Moxley:
Peer Learning through Distributed Computing Research for Diverse Undergraduate Students. 1-6 - Kailong Wang, Han Zhang, Dongliang Fang, Zhongwei Gu, Zhanwei Song, Yongle Chen, Zhiqiang Shi, Limin Sun:
Exploiting Binary Semantics: Enhancing Function Name Inference in Stripped Binaries via LLMs. 1-9 - Guilin Zhang, Wulan Guo, Ziqi Tan, Qiang Guan, Hailong Jiang:
KIS-S: A GPU-Aware Kubernetes Inference Simulator with RL-Based Auto-Scaling. 1-8 - Sunitha Kanipakam, Vishnupriya S. Devarajulu, Tulasi Kavarakuntla:
Privacy-Preserving AI Inference in Edge Systems: Ethical and Architectural Tradeoffs. 1-6 - Yubing Li, Qingyun Liu:
FCC: Fast Fair Congestion Control in Data Center Networks with RDMA. 1-10 - Zhe Xiang, Yuandi Li, Fei Yu, Yanhao Wang, Yuehua Li, Zeyang Rao:
Task-Oriented Semantic Communication Via Federated Learning. 1-7 - Jinming Xing, Muhammad Shahzad:
A Reinforcement Learning Framework for Application-Specific TCP Congestion-Control. 1-10 - Saket Sambaraju, Jeffrey Boman, Howell Wu, Ziliang Zong:
Mitigating Syntax and Logic Errors in LLM Based Code Generation via XML-Structured Prompts. 1-7 - Mohamed R. Elshamy, Mehdi Elahi, Ahmad Patooghy, Abdel-Hameed A. Badawy:
CPINN-ABPI: Physics-Informed Neural Networks for Accurate Power Estimation in MPSoCs. 1-8 - Zihao Ding, Jun Huang, Qiang Duan, Cheng Zhang, Yanxiao Zhao, Shuyang Gu:
A Dual-Level Game-Theoretic Approach for Collaborative Learning in UAV-Assisted Heterogeneous Vehicle Networks. 1-8 - Alex Fallin, Martin Burtscher:
Omni-Homomorphic Compression for Large Scientific Datasets. 1-7 - Yuhao Wei, Zhen Li, Gang Xiong, Gaopeng Gou, Junzheng Shi, Yingchao Qin:
PBC-MWF: Robust Multi-Tab Website Fingerprinting via Interval-Aggregated Packet-Burst Counts. 1-9 - Minxin Wang, Junhong Liao, Jinshu Su, Ziling Wei, Shuhui Chen, Zhengpeng Li, Biying Wang:
TrafficBM: A Dual-Modality Pre-Training Framework for Network Traffic Classification. 1-8 - Dandan Che, Ying Li, Yi Gong:
STG-foF2: Spatio-Temporal Graph Networks for foF2 Prediction in High-Frequency Communication. 1-6 - Victor Li, Carson Lam, Ting Li:
Patched Forecasting with Gumbel-Based Selector for Sparse Mobile Crowd Sensing. 1-2 - Roberta Dal Lago Garcia, Nihar Nanjappa, Alex Alvarez, Philip Anand, Gustavo Vejarano:
Registration and Geolocation of Aerial Thermal Images for Wildfire Monitoring. 1-9 - Xiaomei Zhang, Flowrence Dirisipamu, Khushi Jadhav:
Secure and Efficient Vehicle-to-Vehicle Task Offloading via Trust-Aware Collaboration. 1-9 - Vedant Mohapatra, Sasmita Mohapatra:
Efficiency of LLVM Compilers on High-Performance Architectures. 1-2 - Kaiqiang Hu, Haizhou Du, Ziyi Wang:
DNSHolmes: A Scalable Framework for DNS Repair Using Large Language Models. 1-8 - Md Hasanur Rahman, Sheng Di, Guanpeng Li, Franck Cappello:
Modeling Rate-Distortion for Endpoint-Aware Lossy Compression in Scientific Data Transfer. 1-8 - Zhilin Li, Xiaochang Liu, Lei Lei, Gaoqing Shen, Xiaojiao Liu, Pan Cao:
Flight State Calibration of Digital Twin Models for UAV Swarms. 1-7 - Jiasheng Wang, Yuehao Xu, Song He, Haotian Wu, Jian Yu, Zhijun Ding:
SNACK: Loss Recovery Through Explicit Notification Combined with Selective Nack. 1-8 - Jingjing Zhang, Yi Zhou, Daozhe Luo, Weigang Wu, Yuzhi Liang:
Transaction-Binding Based Collateral Cost Optimization for Payment Channel Networks. 1-7 - Image Bhattarai, Cong Pu:
Secure and Privacy-Preserving Data Aggregation Against Malicious Gateway in RPL-Based Internet of Things. 1-9 - Julian Zarazua, Bishal Thapa, Heena Rathore:
Explaining the Black Box Through Ethical Decision Making in Large Language Models. 1-2 - Griffin Klevering, Samantha Kissel, Li Xiao, Wolfgang Banzhaf:
Asymmetric LEO Constellation Optimization: A Population-Based Approach. 1-6 - Mingrui Zhang, Jianlin Zhang:
Towards Accurate TCP Flightsize Estimation: A History-Aware Learning Approach. 1-6 - Kaiqing Zhang, Xuemin Hong, Ao Peng:
Unsupervised Indoor Relative Positioning and Group Proximity Prediction Based on CIR Graph Convolutional Network and MDS Embedding. 1-6 - Mohammad Al-Tahat, Strahinja Trecakov, Jonathan E. Cook:
Machine Learning and AI Classification of HPC Job Quality Using Time-Series Heartbeat Data. 1-9 - Shiqi Ren, Zhongrui Zhang, Cheng Zhan, Fei Wang, Yang Yang, Zili Zhang:
Energy Efficiency Optimization for Active RIS-Assisted UAV Communication Networks. 1-8 - Pratik R. Kedar, Mukunda Aprameya, Mayank Mangla:
Accelerating TensorFlow Lite Micro on Embedded RISC-V Platforms via Multi-Hart Execution. 1-4 - Victor Li, Carson Lam, Ting Li:
Gumbel-Based Active Sparse Mobile Crowd Sensing with Time Series Transformer. 1-6 - Jiale Zhan, Gang Xu, Xiaodong Xu:
Hybrid Case-Based Reasoning and Kalman Filtering for Cost-Aware Multi-Hop Task Offloading in IoT Edge Networks. 1-8 - Xin Ren, Pengfei Wang, Peihong Lin, Xu Zhou, Wei Xie:
Learning from the Packet Sequences: Diffusion Model-Based Protocol Greybox Fuzzing. 1-10 - Donghang Duan, Xu Zheng, Yifu Zheng, Chong Mu, Ruozhou Wang, Ke Yan:
Exploiting Parasitic Dependency for Free-Rider Elimination in Blockchain-Based Federated Learning. 1-8 - Opeyemi Ajibuwa, Olusola Tolulope Odeyomi:
On the Hidden Costs of Fairness in Byzantine-Robust Decentralized Federated Learning Under Data Heterogeneity. 1-8 - Yuxuan Meng, Baosheng Wang, Qianqian Xing, Xiaofeng Wang:
DM-SCT: Side-Channel Trace Generation Via Attention-Enhanced Diffusion Model. 1-9 - Michael Hofmeier, Michael Grabatin, Wolfgang Hommel:
How to Get Rid of Blockchain in Distributed Information Systems. 1-6 - Jahid Hasan Rony, Abdullah Al Shafi, Razib Hayat Khan, M. M. Mahbubul Syeed, Mohammad Faisal Uddin:
Semantic Segmentation in Natural Environments: An Analysis of Deep Learning Techniques. 1-6 - Md. Omar Faruque, Peter Jamieson, Ahmad Patooghy, Abdel-Hameed A. Badawy:
Gate-Breaker: An LLM-Powered Netlist-to-RTL Reverse Engineering Tool. 1-8 - Gabriel Chukwunonso Amaizu, Akshita Maradapu Vera Venkata Sai, Zuobin Xiong, Yingshu Li:
Trusted Medical AI: Blockchain-Backed Device Authentication With Digital Twin-Enhanced XAI for Lung Cancer Detection. 1-8 - Xuanhao Luo, Shivesh Madan Nath Jha, Akruti Sinha, Zhizhen Li, Yuchen Liu:
ALPHA: LLM-Enabled Active Learning for Human-Free Network Anomaly Detection. 1-9 - Sripath Mishra, Akhil Prasad, Sonia Fahmy:
Enriching Network Traffic Traces for Increasing Classification Accuracy. 1-6 - Wenao Zhang, Shuhui Chen, Junhong Liao, Ziling Wei, Mengyi Gong:
I Know Who You are: An Identity Mapping Attack Based on Time Series Similarity in Mobile Networks. 1-9 - Jun Feng, Yanan Lu, Jiamin Lu, Guozhu Zhu, Wei Zhou:
Intelligent and Efficient Single-Stage Sluice Scheduling via Reinforcement Learning. 1-8 - Habtamu Demeke Mihertie, Zhengqiang Wang, Hailay Teklehaimanot Belay:
Sum Rate Maximization for UAV-Mounted IRS-Assisted RSMA Networks with Hardware Impairments. 1-8
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last updated on 2026-01-18 01:48 CET by the dblp team
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