郑骁庆 - 复旦大学 - 计算机科学技术学院

个人简介

毕业于浙江大学计算机科学与技术学院，获博士学位，之后开始在复旦大学计算机科学技术学院任教。曾以国际师资研究员（International Faculty Fellow）的身份长期在美国麻省理工学院信息技术团队从事数据集成和语义技术方面的研究。2019年至2020年美国加州大学洛杉矶分校机器学习和自然语言处理组访问研究员（Visiting Researcher）。我的研究兴趣在于：如何让计算机能够与人通过自然语言的方式进行对话与交流；如何从万维网上收集与任一主题相关的信息和知识，并且通过语义的方式进行有效组织和集成。目前主要致力于将机器学习和深度学习技术用于文本和声音的处理。

研究领域

自然语言理解，语义万维网，智能系统

近期论文

查看导师最新文章（温馨提示：请注意重名现象，建议点开原文通过作者单位确认）

Xiaohua Wang, Yuliang Yan, Longtao Huang, Xiaoqing Zheng*, Xuanjing Huang. Hallucination Detection for Generative Large Language Models by Bayesian Sequential Estimation. In Proc. Conference on Empirical Methods on Natural Language Processing (EMNLP’23), 2023. Muling Wu, Wenhao Liu, Jianhan Xu, Changze Lv, Zixuan Ling, Tianlong Li, Longtao Huang, Xiaoqing Zheng*, Xuanjing Huang. Parameter Efficient Multi-task Fine-tuning by Learning to Transfer Token-wise Prompts. In Proc. Conference on Empirical Methods on Natural Language Processing (EMNLP-Findings’23), 2023. Chenxi Gu, Xiaoqing Zheng*, Jianhan Xu, Muling Wu, Cenyuan Zhang, Chengsong Huang, Hua Cai, Xuanjing Huang. Watermarking PLMs on Classification Tasks by Combining Contrastive Learning with Weight Perturbation. In Proc. Conference on Empirical Methods on Natural Language Processing (EMNLP-Findings’23), 2023. Yuliang Yan, Xiaohua Wang, Xiang Zhou, Xiaoqing Zheng*, Xuanjing Huang. Measure Children's Mindreading Ability with Machine Reading. In Proc. Conference on Empirical Methods on Natural Language Processing (EMNLP-Findings’23), 2023. Leiyuan Chen, Chengsong Huang, Xiaoqing Zheng*, Jinshu Lin, Xuanjing Huang. TableVLM: Multi-modal Pre-training for Table Structure Recognition. In Proc. Annual Conference of the Association for Computational Linguistics (ACL’23), 2023. Zixuan Ling, Xiaoqing Zheng*, Jianhan Xu, Jinshu Lin, Kai-Wei Chang, Cho-Jui Hsieh, Xuanjing Huang. Enhancing Unsupervised Semantic Parsing with Distributed Contextual Representations. In Proc. Annual Conference of the Association for Computational Linguistics (ACL-Findings’23), 2023. Hua Cai, Xuli Shen, Qing Xu, Weilin Shen, Xiaomei Wang, Weifeng Ge, Xiaoqing Zheng, Xiangyang Xue. Improving Empathetic Dialogue Generation by Dynamically Infusing Commonsense Knowledge. In Proc. Annual Conference of the Association for Computational Linguistics (ACL-Findings’23), 2023. Changze Lv, Jianhan Xu, Xiaoqing Zheng*. Spiking Convolutional Neural Networks for Text Classification. In. Proc. International Conference on Learning Representations (ICLR'23), 2023. Jiehang Zeng, Jianhan Xu, Xiaoqing Zheng*, Xuanjing Huang. Certified Robustness to Text Adversarial Attacks by Randomized [MASK]. Computational Linguistics, 2023, 49(2):393-427. Liaho Wang, Yi Zhou, Yiqun Wang, Xiaoqing Zheng, Xuanjing Huang, Hao Zhou. Regularized molecular conformation fields. In. Proc. Thirty-sixth Conference on Neural Information Processing Systems (NeurIPS'22), 2022. Jianhan Xu, Linyang Li, Jiping Zhang, Xiaoqing Zheng*, Kai-Wei Chang, Cho-Jui Hsieh, Xuanjing Huang. Weight Perturbation as defense against textual adversaries. In Proc. Conference on Empirical Methods on Natural Language Processing (EMNLP-Findings’22), 2022. Jianhan Xu, Cenyuan Zhang, Xiaoqing Zheng*, Linyang Li, Cho-Jui Hsieh, Kai-Wei Chang, Xuanjing Huang. Towards adversarially robust text classifiers by learning to reweight clean examples. In Proc. Annual Conference of the Association for Computational Linguistics (ACL-Findings’22), 2022. Cenyuan Zhang, Xiang Zhou, Yixin Wan, Xiaoqing Zheng*, Kai-Wei Chang, Cho-Jui Hsieh. Improving the adversarial robustness of NLP models by information bottleneck. In Proc. Annual Conference of the Association for Computational Linguistics (ACL-Findings’22), 2022. Yusi Qi, Xiaoqing Zheng*, Xuanjing Huang. Aspect-based sentiment analysis with enhanced aspect-sensitive word embeddings. Knowledge and Information Systems, 64: 1845-1861, 2022. Liaho Wang, Xiaoqing Zheng*. Unsupervised word segmentation with bi-directional neural language model. ACM Transactions on Asia and Low-Resource Language Information Processing, 2022, 22(1): 1-16. Yi Zhou, Xiaoqing Zheng*, Xuanjing Huang. Chinese named entity recognition augmented with lexicon memory. Journal of Computer Science and Technology, 2022. (Accepted). Lu Liu, Jiehang Zeng, Xiaoqing Zheng*. Learning structured embeddings of knowledge graphs with generative adversarial framework. Expert Systems with Applications, 204, 2022. Yi Zhou, Xiaoqing Zheng*, Xuanjing Huang. Generating responses with a given syntactic pattern in Chinese dialogues. IEEE/ACM Transactions on Audio, Speech and Language Processing, 29: 2888-2898, 2021. Zhengqiao Song, Xiaoqing Zheng*, Xuanjing Huang. Jointly learning bilingual word embeddings and alignments. Machine Translation, 35: 551-569, 2021. Jiacheng Ye, Xiang Zhou, Xiaoqing Zheng, Tao Gui, Qi Zhang. Uncertainty-Aware Sequence Labeling. IEEE/ACM Transactions on Audio, Speech and Language Processing, 21: 1775-1788, 2021. Zongyi Li, Jianhan Xu, Jiehang Zeng, Linyang Li, Xiaoqing Zheng*, Qi Zhang, Kai-Wei Chang, Cho-Jui Hsieh. Searching for an effective defender: Benchmarking defense against adversarial word Substitution. In Proc. Conference on Empirical Methods on Natural Language Processing (EMNLP’21), 2021. Liping Yuan, Xiaoqing Zheng*, Yi Zhou, Cho-Jui Hsiech, Kai-Wei Chang. On the transferability of adversarial attacks against neural text classifier. In Proc. Conference on Empirical Methods on Natural Language Processing (EMNLP’21), 2021. Yi Zhou, Xiaoqing Zheng*, Cho-Jui Hsieh, Kai-Wei Chang, Xuanjing Huang. Defense against synonym substitution-based adversarial attacks via Dirichlet neighborhood ensemble. In Proc. Annual Conference of the Association for Computational Linguistics (ACL’21), 2021. Chong Li, Cenyuan Zhang, Xiaoqing Zheng*, Xuanjing Huang. Exploration and exploitation: Two ways to improve Chinese spelling correction models. In Proc. Annual Conference of the Association for Computational Linguistics (ACL’21), 2021. Lihao Wang, Xiaoqing Zheng*. Improving grammatical error correction models with purpose-built adversarial examples. In Proc. Conference on Empirical Methods on Natural Language Processing (EMNLP’20), 2020. Lu Liu, Yi Zhou, Jianhan Xu, Xiaoqing Zheng*, Kai-Wei Chang, Xuanjing Huang. Cross-lingual dependency parsing by POS-guided word reordering. In Proc. Conference on Empirical Methods on Natural Language Processing (EMNLP-Findings’20), 2020. Xiaoqing Zheng, Jiehang Zeng, Yi Zhou, Cho-Jui Hsieh, Minhao Cheng, Xuanjing Huang. Evaluating and enhancing the robustness of neural network-based dependency parsing models with adversarial examples. In Proc. Annual Conference of the Association for Computational Linguistics (ACL’20), 2020. Zhenqiao Song, Xiaoqing Zheng*, Lu Liu, Mu Xu, Xuanjing Huang. Generating responses with a specific emotion in dialog. In Proc. Annual Meeting of the Association for Computational Linguistics (ACL’19), 2019. Haoyuan Peng, Lu Liu, Yi Zhou, Junying Zhou, Xiaoqing Zheng*. Attention-based belief or disbelief feature extraction for dependency parsing. In Proc. AAAI Conference on Artificial Intelligence (AAAI’18), 2018. Jiangtao Feng, Xiaoqing Zheng*. Geometric relationship between word and context representations. In Proc. AAAI Conference on Artificial Intelligence (AAAI’18), 2018. Yi Zhou, Junying Zhou, Lu Liu, Jiangtao Feng, Xiaoqing Zheng*. RNN-based sequence-preserved attention for dependency parsing. In Proc. AAAI Conference on Artificial Intelligence (AAAI’18), 2018. Xiaoqing Zheng. Incremental graph-based neural dependency parsing. In Proc. Conference on Empirical Methods on Natural Language Processing (EMNLP’17), 2017. Xiaoqing Zheng, Jiangtao Feng, Yi Chen, Haoyuan Peng, Wenqiang Zhang. Learning context-specific word/character embeddings. In Proc. AAAI Conference on Artificial Intelligence (AAAI’17), 2017. Xiaoqing Zheng, Jiangtao Feng, Mengxiao Lin, Wenqiang Zhang. Context-specific and multi-prototype character representations. In Proc. The Twenty-Fifth International Joint Conference on Artificial Intelligence (IJCAI’16), 2016. Xiaoqing Zheng, Haoyuan Peng, Yi Chen, Pengjing Zhang, Wenqiang Zhang. Character-based parsing with convolutional neural network. In Proc. The Twenty-Fourth International Joint Conference on Artificial Intelligence (IJCAI’15), 2015. Pengjing Zhang, Xiaoqing Zheng*, Wenqiang Zhang, Siyan Li, Sheng Qian, Wenqi He, Shangtong Zhang, Ziyuan Wang. A deep neural network for modeling music. In Proc. The Annual ACM International Conference on Multimedia Retrieval (ICMR’15), 2015. Xiaoqing Zheng, Hanyang Chen, Tianyu Xu. Deep learning for Chinese word segmentation and POS tagging. In Proc. Conference on Empirical Methods on Natural Language Processing (EMNLP’13), October 18-21, 2013, pp. 647-657. Xiaoqing Zheng, Yiling Gu, Yinsheng Li. Data extraction from Web pages based on structural-semantic entropy. In Proc. Int. Conference on World Wide Web (WWW’12), April 16-20, 2012, pp. 93-102. Xiaoqing Zheng, Stuart E. Madnick, Xitong Li. SPARQL Query Mediation over RDF Data Sources with Disparate Contexts. Linked Data on the Web Workshop, Int. Conference on World Wide Web (WWW/LDOW’12), 2012. Xiaoqing Zheng. Combining description logics and Horn rules with uncertainty in ARTIGENCE. Knowledge-Based Systems, 2011, 24(5): 595-608, 2011. Xiaoqing Zheng, Xitong Li, Stuart E. Madnick. SPARQL query mediation for data integration. 21st Workshop on Information Technologies and Systems (WITS’11), in conjunction with Int. Conference on Information Systems (ICIS’11), 2011. Yinsheng Li, Han Chen, Xiaoqing Zheng*, Chen-Fang Tsai, Jen-Hsinag Chen, Nazaraf Shah. A service-oriented travel portal and engineering platform. Expert Systems with Applications, 2010, 38(2): 1213-1222. Huajun Chen, Yuxin Mao, Xiaoqing Zheng, Meng Cui, Yi Feng, ShuiGuang Deng, Aining Yin, Chunying Zhou, Jingming Tang, Xiaohong Jiang, Zhaohui Wu. Towards semantic e-Science for traditional Chinese medicine. BMC Bioinformatics. 2007, 8 (3): S6. Xiaoqing Zheng, Huajun Chen, Zhaohui Wu, Yuxin Mao. Dynamic query optimization approach for semantic database grid. Journal of Computer Science and Technology, 2006, 21(4): 597-608. Xiaoqing Zheng, Zhaohui Wu, Huajun Chen, Yuxin Mao. Developing a composite trust model for multi-agent systems. In Proc. 5th Int. Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS’06), Hakodate, Japan, May 8-12, 2006, 1257-1259. Xiaoqing Zheng, Zhaohui Wu, Huajun Chen, Yuxin Mao. A scalable probabilistic approach to trust evaluation. In Proc. 4th Int. Conference on Trust Management (iTrust’06), Pisa, Tuscany, Italy, May 16-19, 2006, 423-438.

学术兼职

上海计算机学会多媒体技术委员会委员兼秘书长上海计算机学会人工智能委员会委员