Xueshuo Xie

40 papers A* 3A 1B 2C 1Journal 24Unranked 9
YearRankTypeTitle / Venue / Authors
2026 J jnl
AEDS: An Affinity-Driven Efficient DRL-Based Task Scheduling Framework for Edge Computing.
IEEE Trans. Mob. Comput.
Xu Liu, Zhaolong Jian, Xueshuo Xie, Qiankun Dong, Mulin Li, Xiaoyu Zhang, Tao Li
2026 J jnl
ContractScanner: Detecting and Localizing Vulnerabilities of Smart Contracts via Graph-Based Semantic Modeling of Source Code.
IEEE Trans. Netw. Sci. Eng.
Bin Wang, Shan Li, Xiaohan Yuan, Xueshuo Xie, Junyong Wang, Tao Li, Bin Wang, Wei Wang
2025 J jnl
ADFQ-ViT: Activation-Distribution-Friendly post-training Quantization for Vision Transformers.
Neural Networks
Yanfeng Jiang, Ning Sun, Xueshuo Xie, Fei Yang, Tao Li
2025 J jnl
Block-gram: Mining knowledgeable features for efficiently smart contract vulnerability detection.
Digit. Commun. Networks
Xueshuo Xie, Haolong Wang, Zhaolong Jian, Yaozheng Fang, Zichun Wang, Tao Li
2025 — conf
Cochain: Architectural Support Mechanism for Blockchain-Based Task Scheduling.
APPT
Yaozheng Fang, Yibing Jiang, Xueshuo Xie, Zhaolong Jian, Tao Li, Zhiguo Wan, Grace Guiling Wang
2025 B conf
Col-TEEs: Secure and Efficient Collaborative Inference Framework in Heterogeneous TEEs.
ICPADS
Xu Liu, Tao Li, Zhaolong Jian, Xueshuo Xie, Mulin Li, Gang Wang
2025 J jnl
Cross-Frequency Collaborative Training Network and Dataset for Semi-supervised First Molar Root Canal Segmentation.
CoRR
Zhenhuan Zhou, Yuchen Zhang, Along He, Peng Wang, Xueshuo Xie, Tao Li
2025 A* conf
HookMoE: A learnable performance compensation strategy of Mixture-of-Experts for LLM inference acceleration.
EMNLP
Longkai Cheng, Along He, Mulin Li, Xueshuo Xie, Tao Li
2025 A conf
Hybrid-Granularity Parallelism Support for Fast Transaction Processing in Blockchain-Based Federated Learning.
IPDPS
Mulin Li, Zhaolong Jian, Kaixuan Yang, Xueshuo Xie, Wajdy Othman, Tao Li
2025 — conf
PCVMNet: Landmark-Aware Transformer Network for Pediatric Cervical Vertebral Maturation Assessment.
BIBM
Peng Wang, Xiaohang Guan, Anli Wang, Zhenguo Zhang, Xueshuo Xie, Tao Li
2025 J jnl
SmartZone: Runtime Support for Secure and Efficient On-Device Inference on ARM TrustZone.
IEEE Trans. Computers
Zhaolong Jian, Xu Liu, Qiankun Dong, Longkai Cheng, Xueshuo Xie, Tao Li
2025 J jnl
Transformer for Multitemporal Hyperspectral Image Unmixing.
IEEE Trans. Image Process.
Hang Li, Qiankun Dong, Xueshuo Xie, Xia Xu, Tao Li, Zhenwei Shi
2025 J jnl
Uncovering API-Scope Misalignment in the App-in-App Ecosystem.
Proc. ACM Softw. Eng.
Jiarui Che, Chenkai Guo, Naipeng Dong, Jiaqi Pei, Lingling Fan, Xun Mi, Xueshuo Xie, Xiangyang Luo, Zheli Liu, Renhong Cheng
2024 J jnl
ADFQ-ViT: Activation-Distribution-Friendly Post-Training Quantization for Vision Transformers.
CoRR
Yanfeng Jiang, Ning Sun, Xueshuo Xie, Fei Yang, Tao Li
2024 J jnl
DRS: A deep reinforcement learning enhanced Kubernetes scheduler for microservice-based system.
Softw. Pract. Exp.
Zhaolong Jian, Xueshuo Xie, Yaozheng Fang, Yibing Jiang, Ye Lu, Ankan Dash, Tao Li, Guiling Wang
2024 A* conf
Memory-Efficient and Secure DNN Inference on TrustZone-enabled Consumer IoT Devices.
INFOCOM
Xueshuo Xie, Haoxu Wang, Zhaolong Jian, Tao Li, Wei Wang, Zhiwei Xu, Guiling Wang
2024 J jnl
Memory-Efficient and Secure DNN Inference on TrustZone-enabled Consumer IoT Devices.
CoRR
Xueshuo Xie, Haoxu Wang, Zhaolong Jian, Tao Li, Wei Wang, Zhiwei Xu, Guiling Wang
2024 B conf
OAA: An Abstraction for Efficient Accelerator Adaptation in Deep Learning Frameworks.
IJCNN
Zhengxian Lu, Chengkun Du, Xueshuo Xie, Qiankun Dong, Cheng Gong, Tao Li
2024 J jnl
Quantitative evaluation of deep learning frameworks in heterogeneous computing environment.
CCF Trans. High Perform. Comput.
Zhengxian Lu, Chengkun Du, Yanfeng Jiang, Xueshuo Xie, Tao Li, Fei Yang
2024 A* conf
Resfusion: Denoising Diffusion Probabilistic Models for Image Restoration Based on Prior Residual Noise.
NeurIPS
Zhenning Shi, Haoshuai Zheng, Chen Xu, Changsheng Dong, Bin Pan, Xueshuo Xie, Along He, Tao Li, Huazhu Fu
2024 — conf
Spatial-Frequency Dual Domain Attention Network For Medical Image Segmentation.
BIBM
Zhenhuan Zhou, Along He, Yanlin Wu, Rui Yao, Xueshuo Xie, Tao Li
2024 J jnl
Spatial-Frequency Dual Progressive Attention Network For Medical Image Segmentation.
CoRR
Zhenhuan Zhou, Along He, Yanlin Wu, Rui Yao, Xueshuo Xie, Tao Li
2024 — conf
TMU: Transmission-Enhanced Mamba-UNet for Medical Image Segmentation.
ICIC (10)
Xiongfeng Yang, Ziyang Luo, Yanlin Wu, Xueshuo Xie, Li Nan, Tao Li
2024 J jnl
Transformer for Multitemporal Hyperspectral Image Unmixing.
CoRR
Hang Li, Qiankun Dong, Xueshuo Xie, Xia Xu, Tao Li, Zhenwei Shi
2023 J jnl
ResEnsemble-DDPM: Residual Denoising Diffusion Probabilistic Models for Ensemble Learning.
CoRR
Zhenning Shi, Changsheng Dong, Xueshuo Xie, Bin Pan, Along He, Li Tao
2023 J jnl
Resfusion: Prior Residual Noise embedded Denoising Diffusion Probabilistic Models.
CoRR
Zhenning Shi, Changsheng Dong, Bin Pan, Xueshuo Xie, Along He, Qiaoying Qu, Tao Li
2023 J jnl
TSC-VEE: A TrustZone-Based Smart Contract Virtual Execution Environment.
IEEE Trans. Parallel Distributed Syst.
Zhaolong Jian, Ye Lu, Youyang Qiao, Yaozheng Fang, Xueshuo Xie, Dayi Yang, Zhiyuan Zhou, Tao Li
2022 J jnl
ATOM: Architectural Support and Optimization Mechanism for Smart Contract Fast Update and Execution in Blockchain-Based IoT.
IEEE Internet Things J.
Tao Li, Yaozheng Fang, Zhaolong Jian, Xueshuo Xie, Ye Lu, Guiling Wang
2022 — conf
Block-gram: Mining Knowledgeable Features for Smart Contract Vulnerability Detection.
SmartCom
Tao Li, Haolong Wang, Yaozheng Fang, Zhaolong Jian, Zichun Wang, Xueshuo Xie
2021 J jnl
A Confidence-Guided Evaluation for Log Parsers Inner Quality.
Mob. Networks Appl.
Xueshuo Xie, Zhi Wang, Xuhang Xiao, Ye Lu, Shenwei Huang, Tao Li
2021 J jnl
AWAP: Adaptive weighted attribute propagation enhanced community detection model for bitcoin de-anonymization.
Appl. Soft Comput.
Xueshuo Xie, Jiming Wang, Junyi Ye, Yaozheng Fang, Ye Lu, Tao Li, Guiling Wang
2021 J jnl
Fast Policy Interpretation and Dynamic Conflict Resolution for Blockchain-Based IoT System.
Wirel. Commun. Mob. Comput.
Yaozheng Fang, Zhaolong Jian, Zongming Jin, Xueshuo Xie, Ye Lu, Tao Li
2021 — conf
Trusted-DNN: A TrustZone-based Adaptive Isolation Strategy for Deep Neural Networks.
ACM TUR-C
Zhuang Liu, Ye Lu, Xueshuo Xie, Yaozheng Fang, Zhaolong Jian, Tao Li
2021 C conf
WIP: Sysnif: Constructing Workflow from Interleaved Logs in Intelligent IoT System.
WOWMOM
Zongming Jin, Xueshuo Xie, Yaozheng Fang, Zhaolong Jian, Ye Lu, Guangying Li
2020 — conf
Attribute Propagation Enhanced Community Detection Model for Bitcoin De-anonymizing.
ML4CS (1)
Jiming Wang, Xueshuo Xie, Yaozheng Fang, Ye Lu, Tao Li, Guiling Wang
2020 J jnl
Blockchain-driven anomaly detection framework on edge intelligence.
CCF Trans. Netw.
Xueshuo Xie, Yaozheng Fang, Zhaolong Jian, Ye Lu, Tao Li, Guiling Wang
2020 J jnl
Confidence guided anomaly detection model for anti-concept drift in dynamic logs.
J. Netw. Comput. Appl.
Xueshuo Xie, Zongming Jin, Jiming Wang, Lei Yang, Ye Lu, Tao Li
2019 — conf
A Confidence-Guided Anomaly Detection Approach Jointly Using Multiple Machine Learning Algorithms.
CSS (2)
Xueshuo Xie, Zongming Jin, Qingqi Han, Shenwei Huang, Tao Li
2019 J jnl
A Pvalue-guided Anomaly Detection Approach Combining Multiple Heterogeneous Log Parser Algorithms on IIoT Systems.
CoRR
Xueshuo Xie, Zhi Wang, Xuhang Xiao, Lei Yang, Shenwei Huang, Tao Li
2019 — conf
An Efficient Log Parsing Algorithm Based on Heuristic Rules.
APPT
Lin Zhang, Xueshuo Xie, Kunpeng Xie, Zhi Wang, Ye Lu, Yujun Zhang