Title
HawkEye: Statically and Accurately Profiling the Communication Cost of Models in Multi-party Learning Wenqiang Ruan Xin Lin Ruisheng Zhou Guopeng Lin Shui Yu Weili Han 31 0 0 16 Feb 2025
A Self-guided Multimodal Approach to Enhancing Graph Representation Learning for Alzheimer's Diseases Zhepeng Wang Runxue Bao Yawen Wu Guodong Liu Lei Yang Liang Zhan Feng Zheng Weiwen Jiang Yanfu Zhang 61 0 0 09 Dec 2024
Deep Analysis of Time Series Data for Smart Grid Startup Strategies: A Transformer-LSTM-PSO Model Approach Zecheng Zhang 19 0 0 22 Aug 2024
Recording Brain Activity While Listening to Music Using Wearable EEG Devices Combined with Bidirectional Long Short-Term Memory Networks Jingyi Wang Zhiqun Wang Guiran Liu 25 9 0 22 Aug 2024
Cross-border Commodity Pricing Strategy Optimization via Mixed Neural Network for Time Series Analysis Lijuan Wang Yijia Hu Yan Zhou AI4TS 27 6 0 22 Aug 2024
Risk Analysis in Customer Relationship Management via Quantile Region Convolutional Neural Network-Long Short-Term Memory and Cross-Attention Mechanism Yaowen Huang Jun Der Leu Baoli Lu Yan Zhou 19 0 0 22 Aug 2024
Advanced AI Framework for Enhanced Detection and Assessment of Abdominal Trauma: Integrating 3D Segmentation with 2D CNN and RNN Models Liheng Jiang Xuechun yang Chang Yu Zhizhong Wu Yuting Wang 33 18 0 23 Jul 2024
Data-Algorithm-Architecture Co-Optimization for Fair Neural Networks on Skin Lesion Dataset Yi Sheng Junhuan Yang Jinyang Li James Alaina Xiaowei Xu Yiyu Shi Jingtong Hu Weiwen Jiang Lei Yang 16 0 0 18 Jul 2024
APEER: Automatic Prompt Engineering Enhances Large Language Model Reranking Can Jin Hongwu Peng Shiyu Zhao Zhenting Wang Wujiang Xu Ligong Han Jiahui Zhao Kai Zhong Sanguthevar Rajasekaran Dimitris N. Metaxas KELM 40 31 0 20 Jun 2024
Time Series Modeling for Heart Rate Prediction: From ARIMA to Transformers Haowei Ni Shuchen Meng Xieming Geng Panfeng Li Zhuoying Li Xupeng Chen Xiaotong Wang Shiyao Zhang 23 33 0 18 Jun 2024
Enhance Image-to-Image Generation with LLaVA Prompt and Negative Prompt Zhicheng Ding Panfeng Li Qikai Yang Siyang Li VLM MLLM 37 18 0 04 Jun 2024
Regional Style and Color Transfer Zhicheng Ding Panfeng Li Qikai Yang Siyang Li Qingtian Gong DiffM 14 39 0 22 Apr 2024
A Comparative Study on Enhancing Prediction in Social Network Advertisement through Data Augmentation Qikai Yang Panfeng Li Xinhe Xu Zhicheng Ding Wenjing Zhou Yi Nian 45 31 0 22 Apr 2024
PristiQ: A Co-Design Framework for Preserving Data Security of Quantum Learning in the Cloud Zhepeng Wang Yi Sheng Nirajan Koirala Kanad Basu Taeho Jung Cheng-Chang Lu Weiwen Jiang 21 5 0 20 Apr 2024
DLoRA: Distributed Parameter-Efficient Fine-Tuning Solution for Large Language Model Chao Gao Sai Qian Zhang ALM 114 7 0 08 Apr 2024
Privacy-Preserving Diffusion Model Using Homomorphic Encryption Yaojian Chen Qiben Yan 27 4 0 09 Mar 2024
Neural Networks with (Low-Precision) Polynomial Approximations: New Insights and Techniques for Accuracy Improvement Chi Zhang Jingjing Fan Man Ho Au S. Yiu 12 0 0 17 Feb 2024
Learning from Teaching Regularization: Generalizable Correlations Should be Easy to Imitate Can Jin Tong Che Hongwu Peng Yiyuan Li Dimitris N. Metaxas Marco Pavone 42 26 0 05 Feb 2024
Key Information Retrieval to Classify the Unstructured Data Content of Preferential Trade Agreements Jiahui Zhao Ziyi Meng Stepan Gordeev Zijie Pan Dongjin Song Sandro Steinbach Caiwen Ding 22 1 0 23 Jan 2024
Regularized PolyKervNets: Optimizing Expressiveness and Efficiency for Private Inference in Deep Neural Networks Toluwani Aremu 17 0 0 23 Dec 2023
MaxK-GNN: Extremely Fast GPU Kernel Design for Accelerating Graph Neural Networks Training Hongwu Peng Xi Xie Kaustubh Shivdikar Md Amit Hasan Jiahui Zhao Shaoyi Huang Omer Khan David Kaeli Caiwen Ding 22 35 0 14 Dec 2023
Optimized Layerwise Approximation for Efficient Private Inference on Fully Homomorphic Encryption Junghyun Lee Eunsang Lee Young-Sik Kim Yongwoo Lee Joon-Woo Lee Yongjune Kim Jong-Seon No 11 1 0 16 Oct 2023
Edge-InversionNet: Enabling Efficient Inference of InversionNet on Edge Devices Zhepeng Wang Isaacshubhanand Putla Weiwen Jiang Youzuo Lin 11 2 0 14 Oct 2023
LinGCN: Structural Linearized Graph Convolutional Network for Homomorphically Encrypted Inference Hongwu Peng Ran Ran Yukui Luo Jiahui Zhao Shaoyi Huang ... Tong Geng Chenghong Wang Xiaolin Xu Wujie Wen Caiwen Ding 20 36 0 25 Sep 2023
Muffin: A Framework Toward Multi-Dimension AI Fairness by Uniting Off-the-Shelf Models Yi Sheng Junhuan Yang Lei Yang Yiyu Shi J. Hu Weiwen Jiang 11 9 0 26 Aug 2023
DeepReShape: Redesigning Neural Networks for Efficient Private Inference N. Jha Brandon Reagen 6 10 0 20 Apr 2023
Towards Sparsification of Graph Neural Networks Hongwu Peng Deniz Gurevin Shaoyi Huang Tong Geng Weiwen Jiang O. Khan Caiwen Ding GNN 25 24 0 11 Sep 2022
The Larger The Fairer? Small Neural Networks Can Achieve Fairness for Edge Devices Yi Sheng Junhuan Yang Yawen Wu Kevin Mao Yiyu Shi Jingtong Hu Weiwen Jiang Lei Yang 47 28 0 23 Feb 2022
Zero-Shot Scene Graph Relation Prediction through Commonsense Knowledge Integration Xuan Kan Hejie Cui Carl Yang 55 39 0 11 Jul 2021
Confidence Trigger Detection: Accelerating Real-time Tracking-by-detection Systems Zhicheng Ding Zhixin Lai Siyang Li Panfeng Li Qikai Yang E. Wong 28 20 0 02 Feb 2019