2025年

[1] Along He, Yanlin Wu, Zhihong Wang, Tao Li and Huazhu Fu. DVPT: Dynamic Visual Prompt Tuning of Large Pre-trained Models for Medical Image Analysis. Accepted by Neural Networks, Jan. 12, 2025.

[2] Mulin Li, Zhaolong Jian, Kaixuan Yang, Xueshuo Xie*, Wajdy Othman, Tao Li*. Hybrid-Granularity Parallelism Support for Fast Transaction Processing in Blockchain-based Federated Learning. Accepted by 39th IEEE International Parallel & Distributed Processing Symposium June 3-7, 2025 (CCF-B会议)

[3] Chongzhen Zhang∗, Zhiwang Hu, Xiangrui Xu, Yong Liu, Bin Wang, Jian Shen, Tao Li, Yu Huang, Baigen Cai and Wei Wang. DMRP: Privacy-Preserving Deep Learning Model with Dynamic Masking and Random Permutation, accpeted by Journal of Information Security and Applications, 10 February 2025.

[4] Zhengxian Lu, Fangyu Wang, Zhiwei Xu, Fei Yang, Tao Li. On the Performance and Memory Footprint of Distributed Training: An Empirical Study on Transformers. Accepted by Software: Practice and Experience (SPE), Mar. 2025.

[5] Yanfeng Jiang, Ning Sun, Xueshuo Xie, Fei Yang and Tao Li. ADFQ-ViT: Activation-Distribution-Friendly post-training Quantization for Vision Transformers. DOI: https://doi.org/10.1016/ Accepted by Neural Networks (NN), Feb. 2025.

[6] Yanfeng Jiang, Zelan Yang, Bohua Chen, Shen Li, Yong Li, Tao Li. SQ-Delta: Ultra-High Delta Compression for LLMs via Joint Sparsification-Quantization. Accepted by IEEE International Conference on Multimedia & Expo (ICME) , Mar 21, 2025.

[7] Zhaolong Jian, Xu Liu, Qiankun Dong, Longkai Cheng, Xueshuo Xie and Tao Li*. SmartZone: Runtime Support for Secure and Efficient On-device Inference on ARM TrustZone. Accepted by IEEE Transactions on Computers (IEEE TC), Mar. 2025.

2024年

[1] Sumin Wang, Yuyou Gao, Yongdao Zhou, Bin Pan, Xia Xu*, Tao Li. Reducing the statistical error of generative adversarial networks using space-filling sampling. Stat. https://doi.org/10.1002/sta4.655. Feb. 2024

[2] Yaozheng Fang , Zhiyuan Zhou , Surong Dai , Jinni Yang , Hui Zhang , Ye Lu*. PaVM: A Parallel Virtual Machine for Smart Contract Execution and Validation. IEEE TPDS Volume: 35, Issue: 1, January 2024, Page(s): 186 - 202（CCF A）

[3] Kunpeng Xie, Ye Lu*, Xinyu He, Dezhi Yi, Huijuan Dong, and Yao Chen. Winols: A Large-Tiling Sparse Winograd CNN Accelerator on FPGAs. ACM TACO 2024. (accepted CCF A)

[4] Zhenhuan Zhou; Yuzhu Chen; Along He; Xitao Que; Kai Wang; Rui Yao*; Tao Li*. NKUT: Dataset and Benchmark for Pediatric Mandibular Wisdom Teeth Segmentation, in IEEE Journal of Biomedical and Health Informatics ( IEEE JBHI), doi: 10.1109/JBHI.2024.3383222.

[5] Jiming Wang, Yan Kang, Chenggang Wu*, Yuhao Hu,  Yue Sun, Jikai Ren, Yuanming Lai, Mengyao Xie, Tao Li, Zhe Wang. OptFuzz: Optimization Path Guided Fuzzing for JavaScript JIT Compilers. Accepted by USENIX Security '24 Winter.

[6] Yanfeng Jiang∗ , Ning Sun∗ , Zhengxian Lu, Shuang Peng, Yi Zhang, Fei Yang† , Tao Li1,†. MEFold: Memory-Efficient Optimization for Protein Language Models via Chunk and Quantization.Accepted by International Joint Conference on  Neural Networks (IJCNN 2024).

[7] Zhengxian Lu, Chengkun Du, Xueshuo Xie∗ , Qiankun Dong, Cheng Gong, Tao Li1,∗. OAA: An Abstraction for Efficient Accelerator Adaptation in Deep Learning Frameworks. Accepted by International Joint Conference on  Neural Networks (IJCNN 2024).

[8] Jiatai Wang†, Zhiwei Xu‡, Xuewen Yang§ , Xin Wang¶ , and Li Tao∗. Hierarchical Mutual Information Analysis: Towards Multi-View Clustering in the Wild.Accepted by International Joint Conference on  Neural Networks (IJCNN 2024).

[9] Zhenhuan Zhou, Along He, Yanlin Wu, Rui Yao, Xueshuo Xie*, Tao Li*. Spatial-Frequency Dual Domain Attention Network For Medical Image Segmentation accepted by 2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM 2024)  (CCF-B会议)

[10] Along He, Tao Li*, Yanlin Wu, Ke Zou, Huazhu Fu. FRCNet: Frequency and Region Consistency for Semi-supervised Medical Image Segmentation. accepted by MICCAI 2024, Oct. 2024, (CCF-B会议)

[11] Along He, Tao Li*, Yitian Zhao, Junyong Zhao, Huazhu Fu. Open-Set Semi-Supervised Medical Image Classification with Learnable Prototypes and Outlier Filter. accepted by MICCAI 2024, Oct. 2024 (CCF-B会议)

[12] Zhenning Shi, Haoshuai Zheng, Changsheng Dong, Chen Xu, Bin Pan, Xueshuo Xie, Along He*, Tao Li* and Huazhu Fu. Resfusion: Denoising Diffusion Probabilistic Models for Image Restoration Based on Prior Residua Noise. Accepted by NeurIPS 2024 (CCF-A会议)

[13]  许志伟，李海龙，李博，李涛，王嘉泰，谢学说，董泽辉. AIGC大模型测评综述：使能技术，安全隐患和应对. 计算机科学与探索[J], 2024-05-22

[14] Jiatai Wang, Zhiwei Xu*, Xin Wang, Tao Li*. Toward Generalized Multistage Clustering: Multiview Self-Distillation. Accepted by IEEE Transactions on Neural Networks and learning systems (TNNLS) 2024, Oct. 2024 (CCF-B期刊)

[15] Yurong Hao; Xihui Chen; Wei Wang*; Jiqiang Liu; Tao Li; Junyong Wang; Witold Pedrycz. Eyes on Federated Recommendation: Targeted Poisoning with Competition and Its Mitigation. Accepted by IEEE Transactions on Information Forensics and Security (IEEE TIFS),  November, 2024. (CCF-A期刊)

[16] Cheng Gong, Haoshuai Zheng, Mengting Hu, Zheng Lin, Deng-Ping Fan, Yuzhi Zhang, Tao Li*. Minimize Quantization Output Error with Bias Compensation. CAAI Artificial Intelligence Research, 2024, https://doi.org/10.26599/AIR.2024.9150036

[17] Pengrui Liu; Xiaohan Yuan; Wei Wang; Xiangrui Xu; Tao Li and Junyong Wang. Two-in-One Solution: Simultaneously Enhancing Security and Privacy for Data-Driven Models in Mobile Edge Computing  Accepted by IEEE Transactions on Consumer Electronics.

[18] Yanlin Wu, Zhihong Wang, Xiongfeng Yang, Hong Kang, Along He, Tao Li*. Trans-SAM: Transfer Segment Anything Model to Medical Image Segmentation with Parameter-Efficient Fine-Tuning. Accepted by Knowledge-Based Systems. Dec.2024

[19] Wajdy Othman, Zhong Hong, Miao Fuyou, Kaiping Xue, Ammar Hawbani, Ruhul Amin, Liang Zhao, and Tao Li. CRT and PUF-based Self/Mutual-healing Key Distribution Protocol with Collusion Resistance and Revocation Capability. Accepted by IEEE Transactions on Mobile Computing (TMC) Dec. 2024.

[20] Guorong Chen, Wei Wang, Yufang Wu, Chao Li, Guangquan Xu, Shouling Ji, Tao Li, Meng Shen, Yufei Han. RobustPFL: Robust Personalized Federated Learning. Accepted by IEEE Transactions on Dependable and Secure Computing (TDSC). Dec.2024.

2023年

[1] Along He, Kai Wang, Tao Li*, Chengkun Du, Shuang Xia and Huazhu Fu. H2Former: An Efficient Hierarchical Hybrid Transformer for Medical Image Segmentation. Accepted by TMI, 2023.3

[2] Ruiying Li, Bin Pan, Xia Xu, Tao Li and Zhenwei Shi. Towards Convergence: A Gradient-Based Multiobjective Method With Greedy Hash for Hyperspectral Unmixing. Accepted by IEEE Transactions on Geoscience and Remote Sensing, 2023.4

[3] Zhaolong Jian, Ye Lu*, Youyang Qiao, Yaozheng Fang, Xueshuo Xie, Dayi Yang, Zhiyuan Zhou and Tao Li. TSC-VEE: A TrustZone-based Smart Contract Virtual Execution Environment. IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS(IEEE TPDS), VOL. 34, NO. 6, pp1773-1788，JUNE 2023.(CCF A)

[4] 谢坤鹏，仪德智，刘义情，刘航，赫鑫宇，龚成，*卢冶。SAF-CNN：面向嵌入式FPGA的卷积神经网络稀疏化加速框架；计算机研究与发展，60（5）：1053-1072,2023（CCF 中文A）

[5] Qiaoying Qu, Bin Pan, Xia Xu*, Tao Li and Zhenwei Shi. Unmixing Guided Unsupervised Network for RGB Spectral Super-Resolution. Accepted by TIP, July 2023

[6] Zhe Gao, Bin Pan, Xia Xu, Tao Li, Zhenwei Shi. LiCa: Label-indicate-Conditional-alignment Domain Generalization for Pixel-wise Hyperspectral Imagery Classification.  Accepted by TGRS, 2023.

[7] Bin Pan, Zhehao Xu, Tianyang Shi, Tao Li* and Zhenwei Shi. An Imbalanced Discriminant Alignment Approach for Domain Adaptive SAR Ship Detection. Accepted by TGRS, July 2023.

[8] Xueshuo Xie*, Haolong Wang, Zhaolong Jian, Yaozheng Fang, Zichun Wang, Tao Li*. Block-gram: Mining Knowledgeable Features for Smart Contract Vulnerability Detection. Digital Communications and Networks(DCN), 2023.

[9] Yuexin Duan#, Xia Xu#, Tao Li*, Bin Pan, and Zhenwei Shi. UnDAT: Double Aware Transformer for Hyperspectral Unmixing. Accepted by TGRS, Aug. 2023.

[10] Zhengxian Lu, Chengkun Du, Yanfeng Jiang, Xueshuo Xie, Tao Li, Fei Yang. Quantitative evaluation of deep learning frameworks in heterogeneous computing environment. Accepted by CCF Transactions on High Performance Computing. August 2023.

[11] Zhaolong Jian, Xueshuo Xie, Yaozheng Fang, Yibing Jiang, Tao Li and Ye Lu. DRS: A Deep Reinforcement Learning enhanced Kubernetes Scheduler for Microservice-based System. Softw Pract Exper. 2023.

[12] Yuan Xiaohan, Liu Jiqiang, Wang Bin, Wang Wei, Wang Bin, Li Tao, Ma Xiaobo, Pedrycz Witold. FedComm: A Privacy-Enhanced and Efficient Authentication Protocol for Federated Learning in Vehicular Ad-hoc Networks. Accepted by TIFS, Oct. 2023.

[13] Shuang Liu, Shujie Dou, Junjie Chen, Zhirun Zhang, Ye Lu*.Differential Testing of Machine Translators based on Compositional Semantics. IEEE Transactions on Software Engineering (CCF A, accepted). 2023. 

[14] Xueshuo Xie†, Haoxu Wang†, Zhaolong Jian, Tao Li*, Wei Wang, Zhiwei Xu, Guiling Wang. Memory-Efficient and Secure DNN Inference on TrustZone-enabled Consumer IoT Devices. Accepted by INFOCOM’24.  

[15] Along He, Tao Li, Juncheng Yan, Kai Wang*, and Huazhu Fu. Bilateral Supervision Network for Semi-supervised Medical Image Segmentation. Accepted by TMI, Dec. 2023

2022年

[1] Wang Bo, Tao Li, Xinhui Liu, Kai Wang. SAA: Scale-aware attention block for multi-lesion segmentation of fundus images. IEEE International Symposium on Biomedical Imaging (ISBI). Accepted. Jan, 2022

[2] Xia Xu, Xinyu Song, Tao Li*, Zhenwei Shi, Bin Pan. Deep Autoencoder for Hyperspectral Unmixing via Global-Local Smoothing. IEEE Transactions on Geoscience and Remote Sensing. Accepted. Feb, 2022 (CCF B)

[3] Chenggang Wu, Mengyao Xie, Zhe Wang, Yinqian Zhang, Kangjie Lu, Xiaofeng Zhang, Yuanming Lai, Yan Kang, Min Yang, and Tao Li. Dancing with Wolves: An Intra-process Isolation with Privileged Hardware. Accepted by IEEE Transactions on Dependable and Secure Computing, April, 2022.

[4] Zihan Jiang, Jiansong Li, Fangxin Liu, Wangling Gao, Lei Wang, Chuanxin Lan, Fei Tang, Lei Liu, Tao Li. A Systematic Study on Benchmarking AI Inference Accelerators. Accepted by CCF Transactions on High Performance Computing. April 2022.

[5] Tao Li, Yaozheng Fang, Ye Lu*, Jinni Yang, Zhaolong Jian, Zhiguo Wan, Yusen Li. SmartVM: A Smart Contract Virtual Machine for Fast on-Chain DNN Computations. Accepted by TPDS, May 2022. (CCF A)

[6] Along He, Kai Wang, Tao Li*, Wang Bo, Hong Kang, Huazhu Fu. Progressive Multi-scale Consistent Network for Multi-class Fundus Lesion Segmentation. Accepted by TMI, May 2022.

[7] Yue Zhang, Weiling Bai, Ruyue Li, Yifan Du, Runzhou Sun, Tao Li, Hong Kang, Ziwei Yang, Jianjun Tang, Ningli Wang, and Hanruo Liu. Cost-Utility Analysis of Screening for Diabetic Retinopathy in China. Health Data Science, Volumn 2022.

[8] Mengmeng Liu, Zhi Ma, Tao Li, Yanfeng Jiang, Kai Wang*. Long-Term Person Re-identification with Dramatic Appearance Change: Algorithm and Benchmark. ACM International Conference on Multimedia (ACM MM2022). Accepted, June, 2022.

[9] Xia Xu, Yanyi Wei, Tao Li, Zhenwei Shi and Bin Pan. A Multi-objective Group Sparse Hyperspectral Unmixing Method with High Correlation Library. Accepted by IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. Aug, 2022.

[10] Gong Cheng, Lu Ye, Dai Surong, Deng Qian, Du Chengkun, Li Tao*. AutoQNN: An End-to-End Framework for Automatically Quantizing Neural Networks. Accepted by Journal of Computer Science and Technology, Dec. 2022. (CCF B)

[11] 谢坤鹏，*卢冶，靳宗明，刘义情，龚成，陈新伟，李涛。FAQＧCNN:面向量化卷积神经网络的嵌入式FPGA可扩展加速框架；计算机研究与发展，59（7）:1409-1427,2022（CCF中文A）

2021年

[1] Cheng Gong, Ye Lu, Kunpeng Xie, Zongming Jin, Tao Li*, Yanzhi Wang. Elastic Significant Bit Quantization and Acceleration for Deep Neural Networks. IEEE Transactions on Parallel and Distributed Systems (TPDS), DOI 10.1109/TPDS.2021.3129615, Nov. 2021 (CCF A)

[2] Cheng Gong, Yao Chen, Ye Lu*, Tao Li*, Cong Hao, and Deming Chen*. VecQ: Minimal Loss DNN Model Compression with Vectorized Weight Quantization. IEEE Transactions on Computers, Vol. 70, No. 5, May 2021 (CCF A)

[3] Xiaoli Gong, Dingyuan Cao, Yuxuan Li, Ximing Liu, Yusen Li, Jin Zhang*, Tao Li*. A Thread Level SLO-Aware I/O Framework for Embedded Virtualization. IEEE Transactions on Parallel and Distributed Systems (TPDS), Vol. 32, No. 3, 500-513, Mar. 2021 (CCF A)

[4] Mingxiao Lu, Tianyi Cui, Zhenyu Huang, Hong Zhao, Tao Li, Kai Wang. A Systematic Review of Questionnaire-Based Quantitative Research on MOOCs. The International Review of Research in Open and Distributed Learning (IRRODL), Vol. 22, No. 2, 285-313, Jan. 2021

[5] Jifeng He, Chenggang Wu, Huawei Li, Yang Guo, Tao Li*. Editorial for the special issue on reliability and power efficiency for HPC. CCF Transactions on High Performance Computing, Jan. 20, 2021

[6] Xueshuo Xie, Zhi Wang*, Xuhang Xiao, Ye Lu, Shenwei Huang, Tao Li. A Confidence-Guided Evaluation for Log Parsers Inner Quality. Mobile Networks and Applications, Vol. 26, No.4, 1638-1649, 2021. (CCF C)

[7] 龚成, 卢冶*, 代素蓉, 刘方鑫, 陈新伟, 李涛. μL2Q:一种超低损失的深度神经网络量化方法. 软件学报, Vol. 32, No. 8, 2391-2407, 2021 (CCF中文A)

[8] 郭松, 李涛, 李宁, 康宏, 张玉军, 王恺*. 基于多任务学习的眼底图像红色病变点分割. 软件学报, Vol. 32, No. 11, 3646, 2021 (CCF中文A)

[9] Tao Li, Wang Bo, Chunyu Hu, Hong Kang, Hanruo Liu, Kai Wang*, Huazhu Fu. Applications of deep learning in fundus images: A review. Medical Image Analysis, Vol. 69, 101971, 2021 (Q1)

[10] Along He, Tao Li, Ning Li, Kai Wang*, Huazhu Fu. CABNet: Category Attention Block for Imbalanced Diabetic Retinopathy Grading. IEEE Transactions on Medical Imaging, Vol. 40, No. 1, 143-153, Jan. 2021 (Q1)

[11] Tao Li, Yaozheng Fang, Zhaolong Jian, Xueshuo Xie, Ye Lu*, Guiling Wang. ATOM: Architectural Support and Optimization Mechanism for Smart Contract Fast Update and Execution in Blockchain-based IoT. IEEE Internet of Things Journal. DOI 10.1109/JIOT.2021.3106942, 2021 (Q1)（中国电子学会2020-2021年度物联网专委会十大优秀期刊论文）

[12] Kai Wang, Shichao Dong, Nian Liu, Junhui Yang, Tao Li*, Qinghua Hu. PA-Net: Learning Local Features Using Pose Attention Re-identification. Information Sciences, Vol. 565, 196-209, 2021 (Q2)

[13] Cheng Gong, Ye Lu, Chunying Song, Tao Li, Kai Wang*. OSN: Onion-ring support neighbors for correspondence selection. Information Sciences. Information Sciences, Vol. 565, 331-346, 2021 (Q2)

[14] Xie Xueshuo, Wang Jiming, Ye Junyi, Fang Yaozheng, Lu Ye, Li Tao*, Wang Guiling. AWAP: Adaptive Weighted Attribute Propagation Enhanced Community Detection Model for Bitcoin De-Anonymization. Applied Soft Computing, Vol. 109, 107507, 2021 (Q2)

[15] Ye Lu, Kunpeng Xie, Guanbing Xu, Han Dong, Cheng Li, and Tao Li*. MTFC: A Multi-GPU Training Framework for Cube-CNN-based Hyperspectral Image Classification. IEEE Transactions on Emerging Topics in Computing, Vol 9, No. 4, 1738-1752, 2021 (Q2)

[16] Xia Xu, Bin Pan*, Zongqing Chen, Zhenwei Shi, Tao Li. Simultaneously Multi-objective Sparse Unmixing and Library Pruning for Hyperspectral Imagery. IEEE Transactions on Geoscience and Remote Sensing, Vol. 59, No.4, 3383-3395, Apr. 2021 (CCF B)

[17] Lukui Shi, Nanying Liang, Xia Xu*, Tao Li* and Zhou Zhang. SA-JSTN: Self-Attention Joint Spatiotemporal Network for Temperature Forecasting. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, VOL. 14, 9475-9485, 2021 (Q3)

[18] Yongxin Lan, Hui Lei*, Tao Li, Yongtang Shi, Yiqiao Wang. Harary Index of Pericondensed Benzenoid Graphs. MATCH Commun. Math. Comput. Chem, Vol. 85, 63-76, 2021 (Q3)

[19] Yaozheng Fang, Zhaolong Jian, Zongming Jin, Xueshuo Xie*, Ye Lu, Tao Li. Fast Policy Interpretation and Dynamic Conflict Resolution for Blockchain-Based IoT System. Wireless Communications and Mobile Computing. 2021

[20] Zongming Jin, Xueshuo Xie, Yaozheng Fang, Zhaolong Jian, Ye Lu*, Guangying Li*. WIP: Sysnif: Constructing Workflow from Interleaved Logs in Intelligent IoT System. The 22nd IEEE international Symposium on a World of Wireless, Mobile and Multimedia Networks(WoWMoM). 2021

[21] Zhuang Liu, Ye Lu*, Xueshuo Xie, Yaozheng Fang, Zhaolong Jian, Tao Li. Trusted-DNN: A TrustZone-based Adaptive Isolation Strategy for Deep Neural Networks. ACM Turing Award Celebration Conference-China (ACM TURC 2021). 2021 (Best Paper Award)

[22] Gang Wang, Qiudi Song, Tao Li, Min Li. Fast On-road Object Detector on ROS-based Mobile Robot. IEEE International Conference on Algorithms and Architectures for Parallel Processing (ICA3PP). Accepted. 2021 (CCF C) 

[23] Towards Holistic and Systematic Benchmarking for AI Inference Accelerators. Zihan Jiang, Jiansong Li, Fangxin Liu, Lei Wang, Chuanxin Lan, Lei Liu, Wnagling Gao, Fei Tang and Tao Li. 2021CCF全国高性能计算学术年会（HPC China 2021）. Sept.2021.（优秀论文）

2020年

[1] 高颖琪, 郭松, 李宁, 王恺, 康宏, 李涛. 语义融合眼底图像动静脉分类方法. 中国图形图像学报, Vol. 25, No. 10, 2259-2270, 2020 (CCF中文B)

[2] Shanshan Li*,Xu Niu,Zhouyang Jia,Xiangke Liao,Ji Wang,Tao Li. Guiding log revisions by learning from software evolution history. Empirical Software Engineering, Vol. 25, No. 3,  2302-2340, 2020 (CCF B)

[3] Kai Wang, Zhi Ma, Shiyan Chen, Jinni Yang, Keke Zhou, Tao Li*. A Benchmark for Clothes Variation in Person Re-Identification. International Journal of Intelligent Systems, DOI: 10.1002/int.22276, 1-18, 2020 (Q1)

[4] Xueshuo Xie, Zongming Jin, Jiming Wang, Lei Yang, Ye Lu*, Tao Li*. Confidence guided anomaly detection model for anti-concept drift in dynamic logs. Journal of Network and Computer Applications, Vol. 162, 102659, 2020 (Q2)

[5] Song Guo, Kai Wang, Yingqi Gao, Hong Kang, Tao Li*. Bin loss for hard exudates segmentation in fundus. Neurocomputing, Vol. 392, 314-324, 2020 (Q2)

[6] Hong Kang, Yingqi Gao, Song Guo, Xia Xu, Tao Li, Kai Wang*. AVNet: A retinal artery/vein classification network with category-attention weighted fusion. Computer Methods and Programs in Biomedicine, Vol. 195, 105629, 2020 (Q2)

[7] Jufeng Yang, Jie Liang, Kai Wang, Paul L. Rosin, Ming-Hsuan Yang*. Subspace Clustering via Good Neighbors. IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 42, No. 6, 1537-1544, 2020 (Q1)

[8] Xueshuo Xie, Yaozheng Fang, Zhaolong Jian, Ye Lu*, Tao Li*, Guiling Wang. Blockchain-Driven Anomaly Detection Framework on Edge Intelligence. CCF Transactions on Networking, DOI 10.1007/s42045-020-00044-9, 2020

[9] Jiming Wang, Xueshuo Xie, Yaozheng Fang, Ye Lu, Tao Li*, Guiling Wang. Attribute Propagation Enhanced Community Detection Model for Bitcoin De-anonymizing. International Conference on Machine Learning for Cyber Security (ML4CS). 2020

[10] Ning Li, Tao Li, Chunyu Hu, Kai Wang, Hong Kang*. A Benchmark of Ocular Disease Intelligent Recognition: One Shot for Multi-disease Detection. International Symposium on Benchmarking, Measuring and Optimization. 2020

[11] Jiansong Li, Fangxin Liu, Xiao Dong, Guangli Li, Xueying Wang, Tao Li, Yanzhi Wang, Wei Cao, Lei Liu, Xiaobin Feng. Characterizing the I/O Pipeline in the Deployment of CNNs on Commercial Accelerators. IEEE Intl Conf on Parallel & Distributed Processing with Applications, Big Data & Cloud Computing, Sustainable Computing & Communications, Social Computing & Networking (ISPA/BDCloud/SocialCom/SustainCom). 2020

[12] Chao Wang, Rachel Bass, Tao Li, Hua Wang. Functions on Degrees and Eccentricities in Trees. Ars Combinatoria, 153 (2020), 285-299.

2019年

[1] 刘蒙蒙, 郭松, 高颖琪, 李涛*. 可学习的硬性渗出病变点标注方法. 小型微型计算机系统. Vol.40, 2657-2661, 2019 (CCF中文B)

[2] Tao Li,Yingqi Gao,Kai Wang,Hanruo Liu,Hong Kang*. Diagnostic assessment of deep learning algorithms for diabetic retinopathy screening. Information Sciences, Vol. 501, 511-522, 2019 (CCF B)

[3] Yongxin Lan, Tao Li, Yongtang Shi*, Jianhua Tu. The Turán number of star forests. Applied Mathematics and Computation, Vol. 348, 270-274, 2019 (Q1)

[4] Yongxin Lan, Tao Li*, Hua Wang*, Chengyi Xia. A Note on Extremal Trees with Degree Conditions. Applied Mathematics and Computation, Vol. 341, 70-79, 2019 (Q1)

[5] Song Guo, Tao Li, Hong Kang, Ning Li, Yujun Zhang, Kai Wang*. L-Seg: An end-to-end unified framework for multi-lesion segmentation of fundus images. Neurocomputing, Vol. 349, 52-63, 2019 (Q2)

[6] Song Guo, Kai Wang, Hong Kang, Yujun Zhang, Yingqi Gao, Tao Li*, BTS-DSN: Deeply Supervised Neural Network with Short Connections for Retinal Vessel Segmentation. International Journal of Medical Informatics, Vol. 126, 105-113, 2019 (Q3)

[7] Hanluo Liu, Liu Li, I. Michael Wormstone.etc. Development and Validation of a Deep Learning System to Detect Glaucomatous Opitc Neuropathy Using Fundus Photographs. JAMA ophthalmology, Vol. 137, No. 12, 1353-1360, 2019 (Q2)

[8] Tao Li, Jiabing Leng, Lingyan Kong, Song Guo, Kai Wang*. DCNR: Deep Cube CNN with Random Forest for Hyperspectral Image Classification. Multimedia Tools and Applications, Vol. 78, 3411–3433, 2019 (Q3)

[9] Shenwei Huang, Tao Li, Yongtang Shi*. Critical (P6, banner)-free graphs. Discrete Applied Mathematics, Vol. 258, 143–151, 2019. (Q3)

[10] Xiaoming Li, Guangquan Xu, Xi Zheng, Kaitai Liang, Emmanouil Panaousis, Tao Li, Wei Wang, Chao Shen. Using Sparse Representation to Detect Anomalies in Complex WSNs. ACM Transactions on Intelligent Systems and Technology (TIST), Vol. 10, No. 6, 1-18, 2019 (Q3)

[11] Qingqiong Cai, Tao Li, Yongtang Shi*, Hua Wang. Sum of weighted distances in trees. Discrete Applied Mathematics, Vol. 257, 67-84, 2019 (Q3)

[12] Tao Li, Dingyuan Cao, Ye Lu, Tehui Huang, Chengjun Sun, Qiankun Dong and Xiaoli Gong. DBEFT: A Dependency-Ratio Building Earliest Finish Time Algorithm for Heterogeneous Computing. IEEE Access, Vol. 7, 173884-173896, 2019 (Q3)

[13] Tao Li, Qiankun Dong, Yifeng Wang, Xiaoli Gong*, Yulu Yang. Dual buffer rotation four-stage pipeline for CPU-GPU cooperative computing. Soft Computing, Vol. 23, No. 3, 859-869, 2019 (Q3)

[14] Song Guo, Tao Li, Chan Zhang, Ning Li, Hong Kang, Kai Wang*. Random Drop Loss for Tiny Object Segmentation: Application to Lesion Segmentation in Fundus Images. International Conference on Artificial Neural Networks. 2019

[15] Song Guo, Tao Li, Kai Wang, Chan Zhang, Hong Kang*. A Lightweight Neural Network for Hard Exudate Segmentation of Fundus Image. International Conference on Artificial Neural Networks. 2019.

[16] Cheng Gong,Tao Li,Ye Lu*,Cong Hao,Xiaofan Zhang,Yao Chen. uL2Q: An Ultra-Low Loss Quantization Method for DNN Compression. The International Joint Conference on Neural Networks (IJCNN). 2019

[17] Chan Zhang, Tao Li, Song Guo, Ning Li, Yingqi Gao, Kai Wang*. Aggregation Connection Network For Tiny Face Detection. The International Joint Conference on Neural Networks (IJCNN). 2019

[18] Yingqi Gao, Kunpeng Xie, Song Guo, Kai Wang, Hong Kang, Tao Li*. Random inception module and its parallel implementation. International Symposium on Advanced Parallel Processing Technologies. 2019

[19] Xueshuo Xie,Zongming Jin,Qingqi Han,Shenwei Huang,Tao Li*. A Confidence-guided Anomaly Detectio Approach jointly using Multiple Machine Learning Algorithms. International symposium on cyberspace safety and security. 2019

[20] Chengfei Yao, Jie Zou, Yanan Luo, Tao Li and Gang Bai*. A Class-Incremental Learning Method Based on One Class Support Vector Machine. International Conference on Artificial Intelligence, Automation and Control Technologies (AIACT). 2019

[21] Fangxin Liu, Kunpeng Xie, Cheng Gong, Shusheng Liu, Ye Lu*, Tao Li*. LHC: A Low-power Heterogeneous Computing Method on Neural Network Accelerator. 2019 IEEE 25th International Conference on Parallel and Distributed Systems (ICPADS). 2019

[22] Xia Xu, Zhenwei Shi*, Bin Pan, Xuelong Li. A Classification-based Model for Multi-Objective Hyperspectral Sparse Unmixing. IEEE Transactions on Geoscience and Remote Sensing, Vol. 57, No. 12, 9612-9625, 2019 (CCF B)

[23] Bin Pan, Zhenwei Shi*, Xia Xu. Multi-Objective Based Sparse Representation Classifier for Hyperspectral Imagery Using Limited Samples. IEEE Transactions on Geoscience and Remote Sensing, Vol. 57, No. 1, 239-249, 2019 (CCF B)

[24] Bin Pan, Xia Xu and Zhenwei Shi. Tropical Cyclone Intensity Prediction Based on Recurrent Neural Networks. Electronics Letters, Vol.55, 413-415, 2019

[25] Yao Chen, Kai Zhang, Cheng Gong, Cong Hao, Xiaofan Zhang, Tao Li, Deming Chen. T-DLA: An Open-source Deep Learning Accelerator for Ternarized DNN Models on Embedded FPGA. 2019 IEEE Computer Society Annual Symposium on VLSI (ISVLSI). 2019.

[26] Qingqiong Cai, Shenwei Huang, Tao Li, Yongtang Shi*. Vertex-Critical (P5, banner)-Free Graphs. International Workshop on Frontiers in Algorithmics. 2019.

[27] Jin Zhang, Zhen Liu, Fangxin Liu, Tao Li, Tingjuan Lu, Xiaoli Gong*. ExploreBP: A Simulation Tool for Mobile Browser Energy Optimization. International Conference on Simulation Tools and Techniques. 2019

2018年

[1] 卢冶, 陈瑶*, 李涛, 蔡瑞初, 宫晓利. 面向边缘计算的嵌入式FPGA卷积神经网络构建方法. 计算机研究与发展, Vol. 55, No. 3, 551-562, 2018 (CCF中文A)

[2] 李涛,董前琨,张帅,孔令晏,康宏*,杨愚鲁. 基于线程池的GPU任务并行计算模式研究. 计算机学报Vol. 41, No. 10, 3-20, 2018 (CCF中文A)

[3] Qingqiong Cai,Fuyuan Cao,Tao Li*, Hua Wang*. On Distances in Vertex-weighted Trees. Applied Mathematics and Computation, Vol. 333, 435-442, 2018 (Q1)

[4] Yongxin Lan, Tao Li*, Yuede Ma, Yongtang Shi*, Hua Wang. Vertex-based and Edge-based Centroids of Graphs. Applied Mathematics and Computation, Vol. 331, 445-456, 2018 (Q1)

[5] Hui Lei, Tao Li*, Yuede Ma, Hua Wang*. Analyzing Lattice Networks through Substructures. Applied Mathematics and Computation, Vol. 329, 297-314, 2018 (Q1)

[6] Jufeng Yang, Jie Liang, Hui Shen, Kai Wang, Paul L. Rosin, Ming-Hsuan Yang*. Dynamic Match Kernel with Deep Convolutional Features for Image Retrieval. IEEE Transactions on Image Processing, Vol. 27, 5288-5302, 2018 (CCF A)

[7] Wenwen Wang, Jiacheng Wu, Xiaoli Gong*, Tao Li, Pen-Chung Yew. Improving Dynamically-Generated Code Performance on Dynamic Binary Translators. International Conference on Virtual Execution Environments. 2018

[8] Jinghua Feng, Guangming Liu*, Zhiwei Zhang, Tao Li, Yuqi Li, Fuxing Sun. Quota-constrained job submission behavior at commercial supercomputer. Conference on Advanced Computer Architecture. 2018

[9] Yanan Luo*, Jie Zou, Chengfei Yao, Xiaosong Zhao, Tao Li, Gang Bai*. HSI-CNN: A Novel Convolution Neural Network for Hyperspectral Image. 2018 International Conference on Audio, Language and Image Processing (ICALIP). 2018

[10] Yahui Wang,Shaojun Cai*,Shi-Jie Li,Yun Liu,Yangyan Guo,Tao Li,Ming-Ming Cheng. CubemapSLAM: A Piecewise-Pinhole Monocular Fisheye SLAM System. Asian Conference on Computer Vision. 2018

[11] Jufeng Yang, Jie Liang, Kai Wang, Yong-Liang Yang, Ming-Ming Cheng. Automatic Model Selection in Subspace Clustering via Triplet Relationships. AIII Conference on Artificial Intelligence (AAAI). 2018

[12] Jie Liang, Jufeng Yang*, Hsin-Ying Lee, Kai Wang, Ming-Hsuan Yang. Sub-GAN: An Unsupervised Generative Model via Subspaces. The European Conference on Computer Vision (ECCV). 2018

[13] Xia Xu, Zhenwei Shi*, Bin Pan. L0-based Sparse Hyperspectral Unmixing using Spectral Information and a Multi-Objectives Formulation. ISPRS journal of photogrammetry and remote sensing, Vol. 141, 46-58, 2018 (Q1)

[14] Xia Xu, Zhenwei Shi*, Bin Pan. A Supervised Abundance Estimation Method for Hyperspectral Unmixing. Remote sensing letters, Vol. 9, No. 4, 383-392, 2018 (CCF C)

[15] 徐夏, 张宁, 史振威, 谢少彪. 高光谱图像Pareto优化稀疏解混. 红外与激光工程, Vol. 47, No. 2, 256-260, 2018  

[16] Xia Xu, Liming Wang*, Bin Pan and Zhenwei Shi. Robust Sparse Hyperspectral Unmixing based on Multi-Objective Optimization. IGARSS 2018-2018 IEEE International Geoscience and Remote Sensing Symposium. 2018.

2017年

[1] Tao Li, Han Dong, Yongtang Shi*, Matthais Dehmer*. A comparative analysis of new graph distance measures and graph edit distance. Information Sciences, Vol. 403, 15-21, 2017 (CCF B)

[2] Tao Li, Yingqi Gao, Qiankun Dong, Hua Wang*. Degree sums and dense spanning trees. PLoS ONE, Vol. 12, No. 9, e0184912, 2017 (Q3)

[3] Jun Chen, Hong Zhao, Jufeng Yang, Jian Zhang, Tao Li, Kai Wang*. An intelligent character recognition method to filter spam images on cloud. Soft Computing, Vol.21, No. 3, 753-763, 2017 (Q3)

[4] Tehui Huang, Tao Li*, Qiankun Dong, Kezhao Zhao, Wenjing Ma, Yulu Yang. Communication-aware task scheduling algorithm for heterogeneous computing. International Journal of High Performance Computing and Networking, Vol. 10, 298-309, 2017

[5] Dengping Fan, Mingming Cheng*, Yun Liu, Tao Li, Ali Borji. Structure-measure: A new way to evaluate foreground maps. IEEE International Conference on Computer Vision (ICCV). 2017

[6] Han Dong, Tao Li*, Jiabing Leng, Lingyan Kong, Gang Bai. GCN: GPU-Based Cube CNN Framework for Hyperspectral Image Classification. The 46th International Conference on Parallel Processing(ICPP). 2017

[7] Qiankun Dong,Chao Liu,Tao Li,Zhandong Liu. PIM: Parallelization of Ising Model for Genomics Data. 2017 3rd International Conference on Big Data Computing and Communications (BIGCOM). 2017

[8] Yun Liu, Ming-Ming Cheng*, Xiaowei Hu, Kai Wang, Xiang Bai. Richer Convolutional Features for Edge Detection. IEEE Conference on Computer Vision and Pattern Recognition (CVPR). 2017

[9] Hui Lei, Tao Li, Yongtang Shi*, Hua Wang. Wiener polarity index and its generalization in trees. MATCH Commun. Math. Comput. Chem, Vol.78, No.1, 199-212, 2017

[10] Gang Yu, Tao Li, Jinmao Wei, Chunbo Liu. Assessment of Reduction of Quality Attacks on Mobile IP Networks. 2017 IEEE International Symposium on Parallel and Distributed Processing with Applications and 2017 IEEE International Conference on Ubiquitous Computing and Communications (ISPA/IUCC). 2017

[11] Ye Lu, Qingcheng Li, Jiaxin Liu, Tao Li. A Novel Approach of Constructing Chinese Handwriting Mobile System and Data Service for Elementary Education Domain. 2017 IEEE International Symposium on Parallel and Distributed Processing with Applications and 2017 IEEE International Conference on Ubiquitous Computing and Communications (ISPA/IUCC). 2017

[12] Qun Liao, Shuangshuang Jiang, Min Yu, Yulu Yang*, Tao Li. Monte Carlo Based Incremental PageRank on Evolving Graphs. Pacific-Asia Conference on Knowledge Discovery and Data Mining. 2017

[13] Xia Xu, Zhenwei Shi*. Multi-Objective based Spectral Unmixing for Hyperspectral Images. ISPRS Journal of Photogrammetry and Remote Sensing, Vol. 124, 54-69, 2017. (Q1)

[14] Xia Xu, Zhenwei Shi*, Bin Pan. A new unsupervised hyperspectral band selection method based on multiobjective optimization. IEEE Geoscience and Remote Sensing Letters, Vol. 14, No. 11, 2112-2116, 2017 (Q3)