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科研成果

学术科研 >科研成果

  每年在国际重要学术期刊上发表论文300余篇,每年在国内期刊及重要的国际学术会议上发表论文400余篇。



主要国际刊物论文:


Yulin Wu, Xuan Wang, Zoe L. Jiang, etc. Efficient Server-Aided Secure Two-Party Computation in Heterogeneous Mobile Cloud Computing, IEEE Transactions on Dependable and Secure Computing, 2020 (SCI, IF 6.404, JCR-Q1)


Zhengzhong Yi, Junbin Fang, Puxi Lin, Xiaojun Wen, Zoe Lin Jiang, Xuan Wang. Efficient Quantum Key Distribution Protocol Based on Classical-quantum Polarized Channels, Quantum Information Processing, 18(356), 1-24, 2019.10. (SCI, IF 2.222, JCR-Q1)


Fengwei Jia, Xuan Wang, Jian Guan, et.al.: Bi-Connect Net for salient object detection. Neurocomputing 384: 142-155 (2020) (SCI, IF 4.027, JCR-Q1)


Jiangtao Zhang, Lingmin Zhang, Hejiao Huang, Zeo L. Jiang and Xuan Wang*,Key Based Data Analytics across Data Centers Considering Bi-level Resource Provision in Cloud Computing,Future Generation Computer Systems, 2016.9, 62, pp. 40-50.


Shuhan Qi, Fanglin Wang, Xuan Wang*, Jia Wei, Hainan Zhao. Live multimedia brand-related data identification in microblog. Neurocomputing , SCI 2.089.


Xunguang Wang, Zheng Zhang, Baoyuan Wu, Fumin Shen, Guangming Lu, Prototype-supervised Adversarial Network for Targeted Attack of Deep Hashing, CVPR, 2021, #5248  (CCF A)


Fanxu Meng, Hao Cheng, Ke Li, Huixiang Luo, Guangming Lu*, Xing Sun, Semi-Structure Pruning for Convolutional Neural Networks, NeurIPS 2020, #549  (CCF A)


Fanxu Meng, Hao Cheng, Ke Li, Zhixin Xu, Rongrong Ji, Xing Sun, Guangming Lu*, Filter Grafting for Deep Neural Networks, CVPR 2020,DOI: 10.1109/CVPR42600.2020.00663 (CCF A)


Yao Lu, Guangming Lu*, Yuanrong Xu, Bob Zhang, Super Sparse Convolutional Neural Networks, AAAI-#2071, 2019, 33: 4440–4447 (CCF A)

Yao Lu, Guangming Lu*, Yuanrong Xu, Bob Zhang, AAR-CNNs: Auto Adaptive Regularized Convolutional Neural Networks, IJCAI, 2018 (#1389): 2511-2517 (CCF A)

Jinxing Li, Bob Zhang, Guangming Lu, David Zhang, Shared Linear Encoder-based Gaussian Process Latent Variable Model for Visual Classification, ACM MM 2018, 2018 (#72): DOI: 10.1145/3240508.3240520 (CCF A)


Wei Li, Lei Zhang, David Zhang, Guangming Lu and Jingqi Yan, Efficient Joint 2D and 3D Palmprint Matching with Alignment Refinement, CVPR, 2010: 795-801 (CCF A)


Bin Liang, Rongdi Yin, Jiachen Du, Lin Gui, Yulan He, Min Yang, Ruifeng Xu*. Embedding Refinement Framework for Targeted Aspect-based Sentiment Analysis. IEEE Transactions on Affective Computing. 2021. (SCI IF 7.512,JCR 1区)


Bin Liang, Hang Su, Lin Gui, Erik Cambria and Ruifeng Xu*. Aspect-Based Sentiment Analysis via Affective Knowledge Enhanced Graph Convolutional Networks, Knowledge-based Systems. (SCI IF 5.921, JCR 1区)

Xiangyu Zou, Jingsong Yuan, Philip Shilane, Wen Xia*, Haijun Zhang, and Xuan Wang, "The Dilemma between Deduplication and Locality: Can Both be Achieved?", Proceedings of the 19th USENIX Conference on File and Storage Technologies (FAST'21), Santa Clara, CA, USA, Feb. 2021. (Acceptance rate: 21.5%) (CCF-A)


Qiuping Wang, Jinhong Li, Wen Xia*, Erik Kruus, Biplob Debnath, and Patrick P. C. Lee. "Austere Flash Caching with Deduplication and Compression." Proceedings of the 2020 USENIX Annual Technical Conference (USENIX ATC'20), Boston, MA, USA, July 2020. (Acceptance rate: 65/348 = 18.6%) (CCF-A)


X. Wang, Z. Zhang, G. Lu, Y. Xu, Targeted Attack and Defense for Deep Hashing, in Proc. of The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2021. (CCF A)


X. Wang, Z. Zhang, B. Wu, F. Shen, G. Lu, Prototype-supervised Adversarial Network for Targeted Attack of Deep Hashing, in Proc. of IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), 2021. (CCF A,Acceptance Rate: 23.7%]


J. Wen, Z. Zhang, Z. Zhang, L. Zhu, L. Fei, B. Zhang, Y. Xu, Unified Tensor Framework for Incomplete Multi-view Clustering and Missing-view Inferring, in Proc. of The Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI), 2021. (CCF A,Acceptance Rate: 21%)


Y. Zhang, Z. Zhang, Y. Wang, Z. Zhang, L. Zhang, S. Yan, M. Wang, Partial-Label and Structure-constrained Deep Coupled Factorization Network, in Proc. of The Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI), 2021. (CCF A,Acceptance Rate: 21%)


Y. Luo, Z. Huang, Z. Wang, Z. Zhang, M. Baktashmotlagh, Adversarial Bipartite Graph Learning for Video Domain Adaptation, in Proc. of The 28th ACM International Conference on Multimedia (ACMM), 2020. (CCF A)


J. Wen#, Z. Zhang#, Z. Zhang, Z. Wu, L. Fei, Y. Xu, B. Zhang, DIMC-net: Deep Incomplete Multi-view Clustering Network, in Proc. of The 28th ACM International Conference on Multimedia (ACMM), 2020. (CCF A)


X. Du, C. Pun, Z. Zhang, A Unified Framework for Detecting Audio Adversarial Examples, in Proc. of The 28th ACM International Conference on Multimedia (ACMM), 2020. (CCF A,Acceptance Rate: 27.8%)


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