个人简介
Associate Professor, (April 2005 ~ Now), School of Computer Science, Fudan University, China
Assistant Professor, (April 2003 ~ April 2005), School of Computer Science, Fudan University, China
Visiting Professor, BIRC, NTU, Singapore
Visiting Scholar, (September 2005 ~ March 2006), University of California, San Diego, USA
Post-Doctoral Research Fellow, (May 2001 ~ April 2003), National University of Singapore, Singapore
Graduate Student, (September 1997 ~ March 2001), Computer Science, Hefei University of Technology, China (Ph.D degree obtained in 2001)
Undergraduate Student, (September 1993 ~ June 1997), Computer Science, Hefei University of Technology, China (B.Sc degree obtained in 1997)
研究领域
Data Mining, Machine Learning, Natural Language Processing
近期论文
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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)
Zhipeng Xie, Yiping Duan, Qiyuan Du, Xiaoming Tao, Jiazhong Yu: Video Reconstruction with Multimodal Information. VTC Fall 2023: 1-5
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)
Zhipeng Xie, Yumin Tu: A Graph Convolutional Network with Adaptive Graph Generation and Channel Selection for Event Detection. AAAI 2022: 11522-11529
Zhipeng Xie, Yahe Li: Discriminative Language Model as Semantic Consistency Scorer for Prompt-based Few-Shot Text Classification. CoRR abs/2210.12763 (2022)
Zhipeng Xie, Nan Zeng: A Mixture-of-Experts Model for Antonym-Synonym Discrimination. ACL/IJCNLP (2) 2021: 558-564
Feiteng Mu, Wenjie Li, Zhipeng Xie: Effect Generation Based on Causal Reasoning. EMNLP (Findings) 2021: 527-533
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)
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)
Zhipeng Xie, Feiteng Mu: Distributed Representation of Words in Cause and Effect Spaces. AAAI 2019: 7330-7337
Zhipeng Xie, Youlian Long, Hui Cheng: Distributed Adaptive Formation Control of a Team of Aerial Robots in Cluttered Environments. ICIRA (3) 2019: 544-558
Zhipeng Xie, Feiteng Mu: Boosting Causal Embeddings via Potential Verb-Mediated Causal Patterns. IJCAI 2019: 1921-1927
Zhipeng Xie, Shichao Sun: A Goal-Driven Tree-Structured Neural Model for Math Word Problems. IJCAI 2019: 5299-5305
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)
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
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)
Zhipeng Xie: Closed-Set Chinese Word Segmentation Based on Convolutional Neural Network Model. CCL 2017: 24-36
Zhipeng Xie, Junfeng Hu: Max-Cosine Matching Based Neural Models for Recognizing Textual Entailment. DASFAA (1) 2017: 295-308
Pengfei Wang, Zhipeng Xie, Junfeng Hu: Relation Classification via CNN, Segmented Max-pooling, and SDP-BLSTM. ICONIP (1) 2017: 144-154
Zhipeng Xie: Enhancing Document-Based Question Answering via Interaction Between Question Words and POS Tags. NLPCC 2017: 136-147
Zhipeng Xie, Junfeng Hu: A Deep Convolutional Neural Model for Character-Based Chinese Word Segmentation. NLPCC 2017: 380-392
Shichao Sun, Zhipeng Xie: BiLSTM-Based Models for Metaphor Detection. NLPCC 2017: 431-442
Zhipeng Xie, Junfeng Hu: Max-Cosine Matching Based Neural Models for Recognizing Textual Entailment. CoRR abs/1705.09054 (2017)
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)
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
Zhonghui Chen, Zhipeng Xie, Xinxin Feng: Image-based clustering analysis of massive vehicle networking data. WCSP 2016: 1-5
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)
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
Zhipeng Xie, Liyang Jiang, Tengju Ye, Zhenying He: MPTM: A Topic Model for Multi-Part Documents. DASFAA (2) 2015: 154-168
Yujiao Li, Weidong Yang, Wu Dan, Zhipeng Xie: Keyword-Aware Dominant Route Search for Various User Preferences. DASFAA (2) 2015: 207-222
Tengju Ye, Zhipeng Xie, Ang Li: A Local Method for Canonical Correlation Analysis. NLPCC 2015: 428-435
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
Zhipeng Xie, Rui Dong, Zhengheng Deng, Zhenying He, Weidong Yang: A Probabilistic Approach to Latent Cluster Analysis. IJCAI 2013: 1813-1819
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)
Zhipeng Xie, Songcan Chen: SCIHTBB: Sparsity constrained iterative hard thresholding with Barzilai-Borwein step size. Neurocomputing 74(17): 3663-3676 (2011)
Zhipeng Xie: Boosting Local Na?ve Bayesian Rules. ISNN (2) 2009: 773-783
Zhipeng Xie: Effective Boosting of Na?ve Bayesian Classifiers by Local Accuracy Estimation. PAKDD 2009: 849-858
Zhipeng Xie: Improved AdaBoost.M1 of decision trees with confidence-rated predictions. SAC 2009: 1462-1466
Zhipeng Xie: LBR-Meta: An Efficient Algorithm for Lazy Bayesian Rules. AusDM 2008: 33-39
Zhipeng Xie: Na?ve Bayesian Tree Pruning by Local Accuracy Estimation. ADMA 2006: 558-565
Zhipeng Xie: Several Speed-Up Variants of Cascade Generalization. FSKD 2006: 536-540
Zhipeng Xie, Zongtian Liu: From Intent Reducts for Attribute Implications to Approximate Intent Reducts for Association Rules. CIT 2005: 162-169
Qing Zhang, Zhipeng Xie, Weiwei Sun, Baile Shi: Tree Structure Based Data Gathering for Maximum Lifetime in Wireless Sensor Networks. APWeb 2005: 513-522
Zhipeng Xie, Qing Zhang, Wynne Hsu, Mong-Li Lee: Enhancing SNNB with Local Accuracy Estimation and Ensemble Techniques. DASFAA 2005: 523-535
Zhipeng Xie, Wynne Hsu, Mong-Li Lee: Mode Committee: A Novel Ensemble Method by Clustering and Local Learning. ICTAI 2004: 628-633
Zhipeng Xie: A Study of Selective Neighborhood-Based Nai"ve Bayes for Efficient Lazy Learning. ICTAI 2004: 758-760
Qing Zhang, Huiqiong Chen, Yijun Yu, Zhipeng Xie, Baile Shi: Dynamically Self-Organized Service Composition in Wireless Ad Hoc Networks. TES 2004: 95-106
Zhipeng Xie, Wynne Hsu, Mong-Li Lee: Generalization of Classification Rules. ICTAI 2003: 522-529
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)
Zhipeng Xie, Wynne Hsu, Zongtian Liu, Mong-Li Lee: SNNB: A Selective Neighborhood Based Na?ve Bayes for Lazy Learning. PAKDD 2002: 104-114
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