Publications

• Zhicheng Sun, Zhenhao Yang, Yang Jin, Haozhe Chi, Kun Xu, Kun Xu, Liwei Chen, Hao Jiang, Yang Song, Kun Gai, Yadong Mu. RectifID: Personalizing Rectified Flow with Anchored Classifier Guidance. submitted to Nips 2024. [paper]

• Quzhe Huang, Zhenwei An, Nan Zhuang, Mingxu Tao, Chen Zhang, Yang Jin, Kun Xu, Liwei Chen, Songfang Huang, Yansong Feng. Hard Tasks Need More Experts: Dynamic Routing in MoE Models. in ACL 2024.

• Yang Jin, Zhicheng Sun, Kun Xu, Kun Xu, Liwei Chen, Hao Jiang, Quzhe Huang, Chengru Song, Yuliang Liu, Di Zhang, Yan Song, Kun Gai, Yadong Mu. Video-LaVIT: Unified Video-Language Pre-training with Decoupled Visual-Motional Tokenization. [paper][project], to appear in ICML 2024.

• Mingxu Tao, Quzhe Huang, Kun Xu, Liwei Chen, Yansong Feng and Dongyan Zhao. Probing Multimodal Large Language Models for Global and Local Semantic Representation. in Coling 2024.

• Hejing Cao, Zhenwei An, Jiazhan Feng, Kun Xu, Liwei Chen, Dongyan Zhao. A Step Closer to Comprehensive Answers: Constrained Multi-Stage Question Decomposition with Large Language Models. in Arxiv. [paper]

• Yang Jin, Kun Xu, Kun Xu, Liwei Chen, Chao Liao, Jianchao Tan, Quzhe Huang, Bin Chen, Chenyi Lei, An Liu, Chengru Song, Xiaoqiang Lei, Di Zhang, Wenwu Ou, Kun Gai, Yadong Mu. LaVIT: Unified Language-Vision Pretraining in LLM with Dynamic Discrete Visual Tokenization. in ICLR 2024. [paper][code]

• Han Wu, Kun Xu, Linqi Song. Building structure-aware conversational semantic role labeling Model via Relational Graph Network, in TASLP 2023. [paper][code]

• Yinya Huang, Lemao Liu, Kun Xu, Meng Fang, Liang Lin, Xiaodan Liang. Discourse-Aware Graph Networks for Textual Logic Reasoning, in PAMI 2023.

• Songyang Zhang, Linfeng Song, Lifeng Jin, Haitao Mi, Kun Xu, Dong Yu and Jiebo Luo.  Learning a Grammar Inducer from Massive Uncurated Instructional Videos. in EMNLP 2022.

• Han Wu, Haocheng Tan, Kun Xu, Shuqi Liu, Lianwei Wu, Linqi Song.  Zero-shot Cross-lingual Conversational Semantic Role Labeling. in NAACL 2022. 

• Irene Li, Linfeng Song, Kun Xu, Dong Yu. Variational Graph Autoencoding as Cheap Supervision for AMR Coreference  Resolution. in ACL 2022.

• Han Wu, Kun Xu, Linqi Song. CSAGN: Conversational Structure Aware Graph Network for Conversational Semantic Role Labeling. in EMNLP 2021.

• Lifeng Jin, Linfeng Song, Kun Xu, Dong Yu. Instance-adaptive training with noise-robust losses against noisy labels. in EMNLP 2021. 

• Xintong Yu, Hongming Zhang, Yangqiu Song, Changshui Zhang, Kun Xu and Dong Yu. Exophoric Pronoun Resolution in Dialogues with Topic Regularization. in EMNLP 2021.

• Jie Hao, Linfeng Song, Liwei Wang, Kun Xu, Zhaopeng Tu and Dong Yu. Robust Dialogue Utterance Rewriting as Sequence Tagging. in EMNLP 2021.

• Jiayuan Huang, Yangkai Du, Shuting Tao, Kun Xu, Pengtao xie. Structured Self-Supervised Pretraining for Commonsense Knowledge Graph Completion. in TACL 2021.

• Han Wu, Kun Xu, Linfeng Song, Lifeng Jin, Haisong Zhang and Linqi Song: Domain-Adaptive Pretraining Methods for Dialogue Understanding. in ACL 2021.

• Meng Zhou, Zechen Li, Bowen Tan, Guangtao Zeng, Wenmian Yang, Xuehai He, Zeqian Ju, Subrato Chakravorty, Shu Chen, Xingyi Yang, Yichen Zhang, Qingyang Wu, Zhou Yu, Kun Xu, Eric Xing, and Pengtao Xie. On the Generation of Medical Dialogs for COVID-19, in ACL 2021.

• Songyang Zhang, Linfeng Song, Lifeng Jin, Kun Xu, Dong Yu and Jiebo Luo. Video-aided Unsupervised Grammar Induction, in NAACL 2021. (Best Long Paper Award)

• Kun Xu, Han Wu, Linfeng Song, Haisong Zhang, Linqi Song and Dong Yu. Conversational Semantic Role Labeling, in TASLP. [paper][data]

• Liwei Wang, Jing Huang, Yin Li, Kun Xu, Zhengyuan Yang, Dong Yu. Improving Weakly Supervised Visual Grounding by Contrastive Knowledge Distillation, in CVPR 2021.

• Jiaxin Bai, Hongming Zhang, Yangqiu Song and Kun Xu. Joint Coreference Resolution and Character Linking for Multiparty Conversation, in EACL 2021.

• Haisong Zhang, Lemao Liu, Haiyun Jiang, Yangming Li, Enbo Zhao, Kun Xu, Linfeng Song, Suncong Zheng, Botong Zhou, Jianchen Zhu, Xiao Feng, Tao Chen, Tao Yang, Dong Yu, Feng Zhang, Zhanhui Kang, Shuming Shi. TexSmart: A Text Understanding System for Fine-Grained NER and Enhanced Semantic Analysis. [paper]

• Kun Xu, Haochen Tan, Linfeng Song, Han Wu, Haisong Zhang, Linqi Song and Dong Yu. Semantic Role Labeling Guided Multi-turn Dialogue ReWriter, in EMNLP 2020. [paper]

• Chengzhu Yu, Heng Lu, Na Hu, Meng Yu, Chao Weng, Kun Xu, Peng Liu, Deyi Tuo, Shiyin Kang, Guangzhi Lei, Dan Su and Dong Yu. DurIAN: Duration Informed Attention Network For Speech Synthesis, in InterSpeech 2020. 

• Linfeng Song, Kun Xu, Yue Zhang, Jianshu Chen and Dong Yu. ZPR2: Joint Zero Pronoun Recovery and Resolution using Multi-Task Learning and BERT, in ACL 2020.

• Linfeng Song, Ante Wang, Jinsong Su, Yue Zhang, Kun Xu, Yubin Ge and Dong Yu. Structural Information Preserving for Graph-to-Text Generation, in ACL 2020.

• Kun Xu, Linfeng Song, Yansong Feng, Yan Song and Dong Yu. Coordinated Reasoning for Cross-Lingual Knowledge Graph Alignment, in AAAI 2020. [paper]

• Lifeng Jin, Linfeng Song, Yue Zhang, Kun Xu, Wei-yun Ma and Dong Yu. Relation Extraction Exploiting Full Dependency Forests, in AAAI 2020.

• Hongming Zhang, Jiaxin Bai, Yan Song, Kun Xu, Changlong Yu, Yangqiu Song, Wilfred Ng and Dong Yu.  Multi-Relational Word Embeddings for Selectional Preferences,  in EMNLP 2019. 

• Kun Xu, Liwei Wang, Mo Yu, Yansong Feng, Yan Song,  Zhiguo Wang and Dong Yu. Cross-lingual Knowledge Graph Alignment via Graph Matching Neural Network,  in ACL 2019. [code] [paper]

• Zhiguo Wang, Yue Zhang, Mo Yu, Wei Zhang, Lin Pan, Lingfeng Song, Kun Xu and Yousef EI-Kurdi. Multi-Granular Text Encoding for Self-Explaining Categorization,  in ACL 2019.

• Haoyu Wang, Ming Tan, Mo Yu, Shiyu Chang, Dakuo Wang, Kun Xu, Xiaoxiao Guo and Saloni Potdar. Extracting Multiple-Relations in One-Pass with Pre-Trained Transformers,  in ACL 2019.

• Lingfei Wu, Ian En-Hsu Yen, Zhen Zhang, Kun Xu, Liang Zhao, Xi Peng, Yinglong Xia and Charu Aggarwal, "Scalable Global Alignment Graph Kernel Using Random Features: From Node Embedding to Graph Embedding", in KDD 2019.

• Lingfei Wu, Ian En-Hsu Yen, Siyu Huo, Liang Zhao, Kun Xu, Liang Ma, Shouling Ji and Charu Aggarwal, "Efficient Global String Kernel with Random Features: Beyond Counting Substructures", in KDD 2019.

• Kun Xu, Yuxuan Lai, Yansong Feng, Zhiguo Wang. Enhancing Key-Value Memory Neural Network for Knowledge Based Question Answering, in NAACL 2019.

• Haoyu Wang, Ming Tan, Mo Yu, Shiyu Chang, Dakuo Wang, Kun Xu, Xiaoxiao Guo, Saloni Potdar. Extracting Multiple-Relations in One-Pass with Pre-Trained Transformers. arxiv.

• Yuxuan Lai, Yansong Feng, Xiaohan Yu, Zheng Wang, Kun Xu, Dongyan Zhao. Lattice CNNs for Matching Based Chinese Question Answering, AAAI 2019.

• Lingfei Wu, Ian En-Hsu Yen, Kun Xu, Liang Zhao, Yinglong Xia, and Michael Witbrock, "From Node Embedding to Graph Embedding: Scalable Global Graph Kernel via Random Features", Neural Information Processing Systems Workshop on Relational Representation Learning, NIPS 2018 WS.

• Kun Xu, Lingfei Wu, Zhiguo Wang, Yansong Feng, Vadim Sheinin. Graph2Seq: Graph to Sequence Learning with Attention-based Neural Networks. arxiv. [Code]

• Kun Xu, Lingfei Wu. Zhiguo Wang, Mo Yu, Liwei Chen, Vadim Sheinin. Exploiting Rich Syntactic Information for Semantic Parsing with Graph-to-Sequence Model, in Proceedings of  EMNLP 2018.

• Kun Xu, Lingfei Wu, Zhiguo Wang, Yansong Feng, Vadim Sheinin. SQL-to-Text Generation with Graph-to-Sequence Model, in Proceedings of EMNLP 2018.

• Lingfei Wu, Ian E.H. Yen, Kun Xu, Fangli Xu, Avinash Balakrishnan, Pin-Yu Chen, Pradeep Ravikumar, and Michael J. Witbrock, "Word Mover's Embedding: From Word2Vec to Document Embedding", in Proceedings of EMNLP 2018.

• Vadim Sheinin, Elahe Khorashani, Hangu Yeo, Kun Xu, Ngoc Phuoc An Vo, Octavian Popescu. Quest: A Natural Language Interface to Relational Databases. In Proceedings of LREC 2018.

• Kun Xu, Yansong Feng, Songfang Huang, Dongyan Zhao. Hybrid Question Answering over Knowledge Base and Free Text. In Proceedings of Coling 2016.

• Kun Xu, Siva Reddy, Yansong Feng, Songfang Huang, Dongyan Zhao. Question Answering on Freebase via Relation Extraction and Textual Evidence. In Proceedings of ACL 2016.

• Kun Xu, Yansong Feng, Songfang Huang, Dongyan Zhao. Semantic Relation Classification via Convolutional Neural Networks with Simple Negative Sampling. In Proceedings of EMNLP2015.

• Sheng Zhang, Yansong Feng, Songfang Huang, Kun Xu, Dongyan Zhao. Semantic Interpretation of Superlative Expressions via Structured Knowledge Bases. In Proceedings of ACL2015.

• Kun Xu, Sheng Zhang, Yansong Feng, Dongyan Zhao. What is the longest River in the USA? Semantic Parsing for Aggregation Questions. In Conference on Artificial Intelligence AAAI2015

• Kun Xu, Yansong Feng, Dongyan Zhao. Question Answering over Structured Knowledge Base. Accepted byConference and Labs of the Evaluation Forum CLEF2015.

• Kun Xu, Sheng Zhang, Yansong Feng, Dongyan Zhao. Answering Natural Language Questions via Phrasal Semantic Parsing. In The Conference on Natural Language Processing and Chinese Computing NLPCC2014,pp. 333-344. (Best Student Paper Award)

• Lei Zou, Kun Xu, Jeffery Xu Yu, Lei Chen, Yanghua Xiao, Dongyan Zhao. Efficient processing of label-constraint reachability queries in large graphs. In Journal of Information Systems 2014, pp. 47-66.

• Kun Xu, Lei Zou, Jeffery Xu Yu, Lei Chen, Yanghua Xiao, Dongyan Zhao. Answering label-constraint reachability in large graphs. In Conference on Information and Knowledge Management CIKM2011, pp. 1595-1600.

Patents

• Kun Xu, Chao Weng, Chengzhu Yu, Dong Yu, "An AutoMatic Lexical Sememe Prediction System Using Lexical Dictionaries"

• Kun Xu, Lingfei Wu, Wei Zhang, Vadim Sheinin, “An Interpretable General Reasoning System Using Key Value Memory Networks”, filed in 2018.

• Kun Xu, Lingfei Wu, Zhiguo Wang, Vadim Sheinin, “Natural Language to Structured Query Generation via Paraphrasing”, filed in 2018.

• Kun Xu, Lingfei Wu, Zhiguo Wang, Vadim Sheinin, “A Natural Language Generation System Using Graph-to-Sequence Model”, filed in 2018.

• Kun Xu, Lingfei Wu, Zhiguo Wang, Vadim Sheinin, “Personalized Interactive Semantic Parsing Using A Graph-To-Sequence Model”, Filed, September 2018

• Lingfei Wu, Kun Xu, Wei Zhang, “Graph Analytics Using Random Graph Embedding”, Filed, September 2018

• Lingfei Wu, Kun Xu, Pin-Yu Chen, Chia-Yu Chen, “Computational Efficiency in Symbolic Sequence Analytics Using Random Sequence Embedding”, To be granted, 2018

• Kun Xu, Lei Zou, Dongyan Zhao, Aixia Jia, “一种大规模数据集上的关系查询方法”