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Publications

My publications from the DBLP Bibliography Server |    Citations from Google Scholar

  1. Zhipeng Xie, Yumin Tu: A Graph Convolutional Network with Adaptive Graph Generation and Channel Selection for Event Detection. AAAI 2022, Accepted

  2. Zhipeng Xie, Nan Zeng: A Mixture-of-Experts Model for Antonym-Synonym Discrimination. ACL 2021 (Short Paper), Oral Presentation. 

  3. Zhipeng Xie, Ran Bi: The Construction of Large-Scale Chinese Concreteness Lexicon and the Concreteness Inference Technique: A Preliminary Result. (in Chinese) NLPCC 2021, in Acta Scientiarum Naturalium Universitatis Pekinensis. 

  4. Feiteng Mu, Wenjie Li, Zhipeng Xie: Effect Generation Based on Causal Reasoning. EMNLP Findings 2021

  5. Zhipeng Xie, Shichao Sun: A Goal-Driven Tree-Structured Neural Model for Math Word Problems, IJCAI 2019, accepted

  6. Zhipeng Xie, Feiteng Mu: Boosting Causal Embeddings via Potential Verb-Mediated Causal Patterns, IJCAI 2019, accepted

  7. Zhipeng Xie, Feiteng Mu: Distributed Representation of Words in Cause and Effect Spaces. AAAI 2019 Data Downloads

  8. Shichao Sun, Zhipeng Xie: BiLSTM-based Models for Metaphor Detection. NLPCC 2017: 431-442

  9. Zhipeng Xie: Enhancing Document-Based Question Answering via Interaction between Question Words and POS Tags. NLPCC 2017: 136-147

  10. Zhipeng Xie, Junfeng Hu: A Deep Convolutional Neural Model for Character-Based Chinese Word Segmentation. NLPCC 2017: 380-392

  11. Zhipeng Xie: Closed-Set Chinese Word Segmentation Based on Convolutional Neural Network Model. CCL 2017: 24-36

  12. Pengfei Wang, Zhipeng Xie, Junfeng Hu: Relation classification via CNN, Segmented Max-Pooling, and SDP-BLSTM. ICONIP 2017: 144-154

  13. Zhipeng Xie, Junfeng Hu: Max-Cosine Matching Based Neural Models for Recognizing Textual Entailment. DASFAA (1) 2017: 295-308

  14. Zhipeng Xie, Liyang Jiang, Tengju Ye, Zhenying He: MPTM: A Topic Model for Multi-Part Documents. DASFAA (2) 2015: 154-168

  15. 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

  16. Zhipeng Xie, Rui Dong, et al. A probabilistic approach to latent cluster analysis. IJCAI 2013, pages. 1813-1819

  17. Min Wu, Zhipeng Xie, Xiaoli Li, Chee Keong Kwoh, Jie Zheng. Identitying protein complexes from heterogeneous biological data. Proteins: Structure, Function, and Bioinformatics, 2013, accepted

  18. Zhipeng Xie, Chee Keong Kwoh, Xiaoli Li, Min Wu: Construction of co-complex score matrix for protein complex prediction from AP-MS data. Bioinformatics [ISMB/ECCB] 27(13): 159-166 (2011)

  19. 谢志鹏, 张卿. 无线Ad Hoc网络最大生命周期路由算法的诚实机制(英文). 软件学报, 2009, (09): 2542-2558

  20. Zhipeng Xie: Boosting Local Naïve Bayesian Rules. ISNN (2) 2009: 773-783

  21. Zhipeng Xie: Effective Boosting of Naïve Bayesian Classifiers by Local Accuracy Estimation. PAKDD 2009: 849-858

  22. Zhipeng Xie: Improved AdaBoost.M1 of decision trees with confidence-rated predictions. SAC 2009: 1462-1466

  23. 朱晓峰, 谢志鹏 . 使用半边脸训练集的快速人脸检测方法. 小型微型计算机系统, 2009, (11): ?/span>

  24. Zhipeng Xie: LBR-Meta: An Efficient Algorithm for Lazy Bayesian Rules. AusDM 2008: 33-39

  25. 何昕, 谢志鹏 . 基于简单树匹配算法的Web页面结构相似性度量. 第二十四届中国数据库学术会议, 2007,计算机研究与发展, 44（增刊）(10): 1-6

  26. Zhipeng Xie: Naïve Bayesian Tree Pruning by Local Accuracy Estimation. ADMA 2006: 558-565

  27. Zhipeng Xie: Several Speed-Up Variants of Cascade Generalization. FSKD 2006: 536-540

  28. 张卿, 谢志鹏, 凌波, 孙未未, 施伯乐. 一种传感器网络最大化生命周期数据收集算法(英文). 软件学报, 2005, 16(11): 1946-1957

  29. Qing Zhang, Zhipeng Xie, Weiwei Sun, Baile Shi: Tree Structure Based Data Gathering for Maximum Lifetime in Wireless Sensor Networks. APWeb 2005: 513-522

  30. Zhipeng Xie, Zongtian Liu: From Intent Reducts for Attribute Implications to Approximate Intent Reducts for Association Rules. CIT 2005: 162-169

  31. Zhipeng Xie, Qing Zhang, Wynne Hsu, Mong-Li Lee: Enhancing SNNB with Local Accuracy Estimation and Ensemble Techniques. DASFAA 2005: 523-535

  32. Zhipeng Xie, Wynne Hsu, Mong-Li Lee: Mode Committee: A Novel Ensemble Method by Clustering and Local Learning. ICTAI 2004: 628-633

  33. Zhipeng Xie: A Study of Selective Neighborhood-Based Nai”ve Bayes for Efficient Lazy Learning. ICTAI 2004: 758-760

  34. Qing Zhang, Huiqiong Chen, Yijun Yu, Zhipeng Xie, Baile Shi: Dynamically Self-Organized Service Composition in Wireless Ad Hoc Networks. TES 2004: 95-106

  35. Zhipeng Xie, Wynne Hsu, Mong-Li Lee: Generalization of Classification Rules. ICTAI 2003: 522-529

  36. 谢志鹏 刘宗田. 概念格的快速渐进式构造算法. 计算机学报, 2002, 25(05): 490-496

  37. Zhipeng Xie, Wynne Hsu, Zongtian Liu, Mong-Li Lee: SNNB: A Selective Neighborhood Based Naïve Bayes for Lazy Learning. PAKDD 2002: 104-114

  38. 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)

  39. 张卿 谢志鹏 刘宗田. 基于变长编码遗传算法的最小缩减计算. 小型微型计算机系统, 2001, 22(09): 1055-1057

  40. 谢志鹏 刘宗田. 概念格与关联规则发现. 计算机研究与发展, 2000, 37(12): 1415-1421

  41. Zongtian Liu, Zhipeng Xie: Discernibility System in Rough Sets. PAKDD 1999: 220-227


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