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)

Data Mining, Machine Learning, Natural Language Processing

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