Xiaohua Wang, Zhenghua Wang, Xuan Gao, Feiran Zhang, Yixin Wu, Zhibo Xu, Tianyuan Shi, Zhengyuan Wang, Shizheng Li, Qi Qian, Ruicheng Yin, Changze Lv, Xiaoqing Zheng*, Xuanjing Huang. Searching for best practices in retrieval-augmented generation. In Proc. Conference on Empirical Methods on Natural Language Processing (EMNLP’24), 2024.

Zhu JianHao, Changze Lv, Xiaohua Wang, Muling Wu, Wenhao Liu, Tianlong Li, Zixuan Ling, Cenyuan Zhang, Xiaoqing Zheng*, Xuanjing Huang. Promoting data and model privacy in federated learning through quantized LoRA. In Proc. Conference on Empirical Methods on Natural Language Processing (EMNLP-Findings’24), 2024. 

Changze Lv, Dongqi Han, Yansen Wang, Xiaoqing Zheng*, Xuanjing Huang, Dongsheng Li. Advancing spiking neural networks for sequential modeling with central pattern generators. In. Proc. Annual Conference on Neural Information Processing Systems (NeurIPS'24), 2024. (Spotlight)

Muling Wu, Wenhao Liu, Xiaohua Wang, Tianlong Li, Changze Lv Zixuan Ling, Jianhao Zhu, Cenyuan Zhang, Xiaoqing Zheng*, Xuanjing Huang. Advancing Parameter Efficiency in Fine-tuning via Representation Editing. In Proc. Annual Conference of the Association for Computational Linguistics (ACL’24), 2024.

Wenhao Liu, Xiaohua Wang, Muling Wu, Tianlong Li, Changze Lv Zixuan Ling, Jianhao Zhu, Cenyuan Zhang, Xiaoqing Zheng∗, Xuanjing Huang. Aligning Large Language Models with Human Preferences through Representation Engineering. In Proc. Annual Conference of the Association for Computational Linguistics (ACL’24), 2024.

Changze Lv, Yansen Wang, Dongqi Han, Xiaoqing Zheng*, Xuanjiing Huang, Dongsheng Li*. Efficient and effective time-series forecasting with spiking neural networks. In Proc. International Conference on Machine Learning (ICML’24), 2024.

Yu fei GU, Xiaoqing Zheng*, Tomaso Aste. Unraveling the enigma of double descent: An in-depth analysis through the lens of learned feature space. In Proc. International Conference on Learning Representations (ICLR’24), 2024.

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, 49(2):393-427, 2023.

Xiaoqing Zheng. Building conventional "experts" with a dialogue logic programming language. IEEE/ACM Transactions on Audio, Speech and Language Processing, 31: 1784-1796, 2023.

Yi Zhou, Xiaoqing Zheng*, Xuanjing Huang. Chinese named entity recognition augmented with lexicon memory. Journal of Computer Science and Technology, 38(5): 1021-1035, 2023.

Liaho Wang, Yi Zhou, Yiqun Wang, Xiaoqing Zheng, Xuanjing Huang, Hao Zhou. Regularized molecular conformation fields. In. Proc. Annual 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, 22(1): 1-16, 2022.

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), 2013. 

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), 2012. 

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, 38(2): 1213-1222, 2010. 

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. 8 (3): S6, 2007. 

Xiaoqing Zheng, Huajun Chen, Zhaohui Wu, Yuxin Mao. Dynamic query optimization approach for semantic database grid. Journal of Computer Science and Technology, 21(4): 597-608, 2006. 

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), 1257-1259, 2006. 

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, 423-438, 2006.