dblp: Zhipeng Xie (original) (raw)

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2020 – today

• 2025
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  [j13]
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    Wei Luo, Zhipeng Xie, Yikai Li, Man Chen, Rufei He, Yumin Peng, Xin Zhang:
    Enhanced 1-D Convolutional Neural Network-Based Open-Circuit Fault Diagnosis and Hybrid Fault-Tolerant Control for Three-Level NPC Converters. IEEE Trans. Instrum. Meas. 74: 1-14 (2025)
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  [c46]
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    Yu Shen, Beicheng Xu, Yupeng Lu, Donghui Chen, Huaijun Jiang, Zhipeng Xie, Senbo Fu, Nan Zhang, Yuxin Ren, Ning Jia, Xinwei Hu, Bin Cui:
    A-Tune-Online: Efficient and QoS-Aware Online Configuration Tuning for Dynamic Workloads. ICDE 2025: 2161-2173
• 2024
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  [j12]
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    Qiyuan Du, Yiping Duan, Zhipeng Xie, Xiaoming Tao, Linsu Shi, Zhijuan Jin:
    Optical Flow-Based Spatiotemporal Sketch for Video Representation: A Novel Framework. IEEE Trans. Circuits Syst. Video Technol. 34(8): 6963-6977 (2024)
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  [c45]
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    Yahe Li, Zhipeng Xie:
    An Active Learning Method via Expected Model Loss Reduction. ADMA (2) 2024: 143-159
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  [c44]
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    Zhipeng Xie, Shui Xie:
    A Chinese Hypernymy Detection Method Cross-Lingually Supervised by English Hypernymies. ADMA (5) 2024: 274-286
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  [c43]
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    Zhipeng Xie, Guorong Li:
    Weak-Evidence Aggregation for the Choice of Plausible Alternatives Task. ADMA (1) 2024: 373-385
• 
  [c42]
  Zhipeng Xie, Yahe Li:
  Discriminative Language Model as Semantic Consistency Scorer for Prompt-based Few-Shot Text Classification. LREC/COLING 2024: 4968-4977
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  [c41]
  Zhipeng Xie, Yahe Li:
  Information Retention via Learning Supplemental Features. ICLR 2024
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  [c40]
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    Xu Zhang, Zhipeng Xie, Haiyang Yu, Qitong Wang, Peng Wang, Wei Wang:
    Enhancing Adaptive Deep Networks for Image Classification via Uncertainty-aware Decision Fusion. ACM Multimedia 2024: 8595-8603
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  [i3]
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    Xu Zhang, Zhipeng Xie, Haiyang Yu, Qitong Wang, Peng Wang, Wei Wang:
    Enhancing Adaptive Deep Networks for Image Classification via Uncertainty-aware Decision Fusion. CoRR abs/2408.13744 (2024)
• 2023
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  [j11]
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    Yiping Duan, Qiyuan Du, Xin Fang, Zhipeng Xie, Zhijin Qin, Xiaoming Tao, Chengkang Pan, Guangyi Liu:
    Multimedia Semantic Communications: Representation, Encoding and Transmission. IEEE Netw. 37(1): 44-50 (2023)
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  [c39]
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    Qiyuan Du, Yiping Duan, Zhipeng Xie, Xiaoming Tao, Renxiao Zeng, Zhijuan Jin, Fei Li:
    Optical Flow-Based Video Sketch Graph Extraction. GLOBECOM (Workshops) 2023: 1279-1284
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  [c38]
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    Zhipeng Xie, Yiping Duan, Qiyuan Du, Xiaoming Tao, Jiazhong Yu:
    Video Reconstruction with Multimodal Information. VTC Fall 2023: 1-5
• 2022
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  [j10]
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    Weiyao Ma, Ling Bai, Weiqiang Ma, Wei Hu, Zhipeng Xie, Rongmingzhu Su, Binbin Wang, Yaoming Ma:
    Interannual and Monthly Variability of Typical Inland Lakes on the Tibetan Plateau Located in Three Different Climatic Zones. Remote. Sens. 14(19): 5015 (2022)
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  [c37]
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    Zhipeng Xie, Yumin Tu:
    A Graph Convolutional Network with Adaptive Graph Generation and Channel Selection for Event Detection. AAAI 2022: 11522-11529
• 
  [i2]
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    Zhipeng Xie, Yahe Li:
    Discriminative Language Model as Semantic Consistency Scorer for Prompt-based Few-Shot Text Classification. CoRR abs/2210.12763 (2022)
• 2021
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  [c36]
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    Zhipeng Xie, Nan Zeng:
    A Mixture-of-Experts Model for Antonym-Synonym Discrimination. ACL/IJCNLP (2) 2021: 558-564
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  [c35]
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    Feiteng Mu, Wenjie Li, Zhipeng Xie:
    Effect Generation Based on Causal Reasoning. EMNLP (Findings) 2021: 527-533
• 2020
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  [j9]
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    Jianming Zhang, Zhipeng Xie, Juan Sun, Xin Zou, Jin Wang:
    A Cascaded R-CNN With Multiscale Attention and Imbalanced Samples for Traffic Sign Detection. IEEE Access 8: 29742-29754 (2020)
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  [j8]
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    Ian McLoughlin, Zhipeng Xie, Yan Song, Huy Phan, Ramaswamy Palaniappan:
    Time-Frequency Feature Fusion for Noise Robust Audio Event Classification. Circuits Syst. Signal Process. 39(3): 1672-1687 (2020)

2010 – 2019

• 2019
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  [c34]
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    Zhipeng Xie, Feiteng Mu:
    Distributed Representation of Words in Cause and Effect Spaces. AAAI 2019: 7330-7337
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  [c33]
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    Zhipeng Xie, Youlian Long, Hui Cheng:
    Distributed Adaptive Formation Control of a Team of Aerial Robots in Cluttered Environments. ICIRA (3) 2019: 544-558
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  [c32]
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    Zhipeng Xie, Feiteng Mu:
    Boosting Causal Embeddings via Potential Verb-Mediated Causal Patterns. IJCAI 2019: 1921-1927
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  [c31]
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    Zhipeng Xie, Shichao Sun:
    A Goal-Driven Tree-Structured Neural Model for Math Word Problems. IJCAI 2019: 5299-5305
• 2018
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  [j7]
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    Lei Sun, Jun Du, Zhipeng Xie, Yong Xu:
    Auxiliary Features from Laser-Doppler Vibrometer Sensor for Deep Neural Network Based Robust Speech Recognition. J. Signal Process. Syst. 90(7): 975-983 (2018)
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  [c30]
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    Zhongchang Liu, Zeyu Jiang, Tianye Xu, Hui Cheng, Zhipeng Xie, Liang Lin:
    Avoidance of High-Speed Obstacles Based on Velocity Obstacles. ICRA 2018: 7624-7630
• 2017
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  [j6]
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    Zhipeng Xie:
    A primal-dual method with linear mapping for a saddle point problem in image deblurring. J. Vis. Commun. Image Represent. 42: 112-120 (2017)
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  [c29]
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    Zhipeng Xie:
    Closed-Set Chinese Word Segmentation Based on Convolutional Neural Network Model. CCL 2017: 24-36
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  [c28]
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    Zhipeng Xie, Junfeng Hu:
    Max-Cosine Matching Based Neural Models for Recognizing Textual Entailment. DASFAA (1) 2017: 295-308
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  [c27]
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    Pengfei Wang, Zhipeng Xie, Junfeng Hu:
    Relation Classification via CNN, Segmented Max-pooling, and SDP-BLSTM. ICONIP (1) 2017: 144-154
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  [c26]
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    Zhipeng Xie:
    Enhancing Document-Based Question Answering via Interaction Between Question Words and POS Tags. NLPCC 2017: 136-147
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  [c25]
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    Zhipeng Xie, Junfeng Hu:
    A Deep Convolutional Neural Model for Character-Based Chinese Word Segmentation. NLPCC 2017: 380-392
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  [c24]
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    Shichao Sun, Zhipeng Xie:
    BiLSTM-Based Models for Metaphor Detection. NLPCC 2017: 431-442
• 
  [i1]
  Zhipeng Xie, Junfeng Hu:
  Max-Cosine Matching Based Neural Models for Recognizing Textual Entailment. CoRR abs/1705.09054 (2017)
• 2016
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  [j5]
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    Zhipeng Xie, Ian McLoughlin, Haomin Zhang, Yan Song, Wei Xiao:
    A new variance-based approach for discriminative feature extraction in machine hearing classification using spectrogram features. Digit. Signal Process. 54: 119-128 (2016)
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  [c23]
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    Zhipeng Xie, Jun Du, Ian McLoughlin, Yong Xu, Feng Ma, Haikun Wang:
    Deep neural network for robust speech recognition with auxiliary features from laser-Doppler vibrometer sensor. ISCSLP 2016: 1-5
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  [c22]
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    Zhonghui Chen, Zhipeng Xie, Xinxin Feng:
    Image-based clustering analysis of massive vehicle networking data. WCSP 2016: 1-5
• 2015
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  [j4]
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    Ian McLoughlin, Haomin Zhang, Zhipeng Xie, Yan Song, Wei Xiao:
    Robust Sound Event Classification Using Deep Neural Networks. IEEE ACM Trans. Audio Speech Lang. Process. 23(3): 540-552 (2015)
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  [c21]
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    Zhipeng Xie, Liyang Jiang, Tengju Ye, Xiaoli Li:
    A Synthetic Minority Oversampling Method Based on Local Densities in Low-Dimensional Space for Imbalanced Learning. DASFAA (2) 2015: 3-18
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  [c20]
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    Zhipeng Xie, Liyang Jiang, Tengju Ye, Zhenying He:
    MPTM: A Topic Model for Multi-Part Documents. DASFAA (2) 2015: 154-168
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  [c19]
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    Yujiao Li, Weidong Yang, Wu Dan, Zhipeng Xie:
    Keyword-Aware Dominant Route Search for Various User Preferences. DASFAA (2) 2015: 207-222
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  [c18]
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    Tengju Ye, Zhipeng Xie, Ang Li:
    A Local Method for Canonical Correlation Analysis. NLPCC 2015: 428-435
• 2013
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  [c17]
  Shu-Juan Peng, Xin Liu, Zhen Cui, Zhipeng Xie, Duansheng Chen:
  Automatic Motion Capture Data Denoising via Filtered Local Subspace Affinity and Low Rank Approximation. CAD/Graphics 2013: 389-390
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  [c16]
  Zhipeng Xie, Rui Dong, Zhengheng Deng, Zhenying He, Weidong Yang:
  A Probabilistic Approach to Latent Cluster Analysis. IJCAI 2013: 1813-1819
• 2011
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  [j3]
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    Zhipeng Xie, Chee Keong Kwoh, Xiaoli Li, Min Wu:
    Construction of co-complex score matrix for protein complex prediction from AP-MS data. Bioinform. 27(13): 159-166 (2011)
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  [j2]
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    Zhipeng Xie, Songcan Chen:
    SCIHTBB: Sparsity constrained iterative hard thresholding with Barzilai-Borwein step size. Neurocomputing 74(17): 3663-3676 (2011)

2000 – 2009

• 2009
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  [c15]
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    Zhipeng Xie:
    Boosting Local Naïve Bayesian Rules. ISNN (2) 2009: 773-783
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  [c14]
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    Zhipeng Xie:
    Effective Boosting of Naïve Bayesian Classifiers by Local Accuracy Estimation. PAKDD 2009: 849-858
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  [c13]
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    Zhipeng Xie:
    Improved AdaBoost.M1 of decision trees with confidence-rated predictions. SAC 2009: 1462-1466
• 2008
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  [c12]
  Zhipeng Xie:
  LBR-Meta: An Efficient Algorithm for Lazy Bayesian Rules. AusDM 2008: 33-39
• 2006
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  [c11]
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    Zhipeng Xie:
    Naïve Bayesian Tree Pruning by Local Accuracy Estimation. ADMA 2006: 558-565
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  [c10]
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    Zhipeng Xie:
    Several Speed-Up Variants of Cascade Generalization. FSKD 2006: 536-540
• 2005
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  [c9]
  Zhipeng Xie, Zongtian Liu:
  From Intent Reducts for Attribute Implications to Approximate Intent Reducts for Association Rules. CIT 2005: 162-169
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  [c8]
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    Qing Zhang, Zhipeng Xie, Weiwei Sun, Baile Shi:
    Tree Structure Based Data Gathering for Maximum Lifetime in Wireless Sensor Networks. APWeb 2005: 513-522
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  [c7]
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    Zhipeng Xie, Qing Zhang, Wynne Hsu, Mong-Li Lee:
    Enhancing SNNB with Local Accuracy Estimation and Ensemble Techniques. DASFAA 2005: 523-535
• 2004
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  [c6]
  Zhipeng Xie, Wynne Hsu, Mong-Li Lee:
  Mode Committee: A Novel Ensemble Method by Clustering and Local Learning. ICTAI 2004: 628-633
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  [c5]
  Zhipeng Xie:
  A Study of Selective Neighborhood-Based Nai"ve Bayes for Efficient Lazy Learning. ICTAI 2004: 758-760
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  [c4]
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    Qing Zhang, Huiqiong Chen, Yijun Yu, Zhipeng Xie, Baile Shi:
    Dynamically Self-Organized Service Composition in Wireless Ad Hoc Networks. TES 2004: 95-106
• 2003
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  [c3]
  Zhipeng Xie, Wynne Hsu, Mong-Li Lee:
  Generalization of Classification Rules. ICTAI 2003: 522-529
• 2002
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  [j1]
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    Zhipeng Xie, Wynne Hsu, Zongtian Liu, Mong-Li Lee:
    Concept lattice based composite classifiers for high predictability. J. Exp. Theor. Artif. Intell. 14(2-3): 143-156 (2002)
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  [c2]
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    Zhipeng Xie, Wynne Hsu, Zongtian Liu, Mong-Li Lee:
    SNNB: A Selective Neighborhood Based Naïve Bayes for Lazy Learning. PAKDD 2002: 104-114

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