Kewei Tu's Homepage - Publications

Full Publication List

Preprint

You Wu, Haoyi Wu, and Kewei Tu, "A Systematic Study of Cross-Layer KV Sharing for Efficient LLM Inference". (Code)
Xiang Hu, Zhihao Teng, Wei Wu, and Kewei Tu, "Efficient Long-range Language Modeling with Self-supervised Causal Retrieval".
Chao Lou, Zixia Jia, Zilong Zheng, and Kewei Tu, "Sparser is Faster and Less is More: Efficient Sparse Attention for Long-Range Transformers".
Qingyang Zhu, Xiang Hu, Pengyu Ji, Wei Wu, and Kewei Tu, "Unsupervised Morphological Tree Tokenizer".
Wenyang Hui and Kewei Tu, "RoT: Enhancing Large Language Models with Reflection on Search Trees". (Code)

2024

Haoyi Wu and Kewei Tu, "Layer-Condensed KV Cache for Efficient Inference of Large Language Models". In the 62th Annual Meeting of the Association for Computational Linguistics (ACL 2024), Bangkok, Thailand, August 11–16, 2024. (Slides)(Poster)(Code)
Yida Zhao, Chao Lou, and Kewei Tu, "Dependency Transformer Grammars: Integrating Dependency Structures into Transformer Language Models". In the 62th Annual Meeting of the Association for Computational Linguistics (ACL 2024), Bangkok, Thailand, August 11–16, 2024. (Slides)(Poster)(Code)
Xiang Hu, Pengyu Ji, Qingyang Zhu, Wei Wu, and Kewei Tu, "Generative Pretrained Structured Transformers: Unsupervised Syntactic Language Models at Scale". In the 62th Annual Meeting of the Association for Computational Linguistics (ACL 2024), Bangkok, Thailand, August 11–16, 2024. (Code)
Zhuo Chen, Xinyu Wang, Yong Jiang, Pengjun Xie, Fei Huang, and Kewei Tu, "Improving Retrieval Augmented Open-Domain Question-Answering with Vectorized Contexts". In Findings of ACL, 2024. (Poster)(Code)
Xiang Hu, Qingyang Zhu, Kewei Tu, Wei Wu, "Augmenting transformers with recursively composed multi-grained representations". In the Twelfth International Conference on Learning Representations (ICLR 2024), Vienna, Austria, May 7-11, 2024. (Code)
Chaoyi Ai and Kewei Tu, "Frame Semantic Role Labeling Using Arbitrary-Order Conditional Random Fields". In the 38th Annual AAAI Conference on Artificial Intelligence (AAAI 2024), Vancouver, Canada, February 20-27, 2024. (Poster)(Code)
Tianyu Yu, Chengyue Jiang, Chao Lou, Shen Huang, Xiaobin Wang, Wei Liu, Jiong Cai, Li Yangning, Yinghui Li, Kewei Tu, Hai-Tao Zheng, Ningyu Zhang, Pengjun Xie, Fei Huang, and Yong Jiang, "SeqGPT: An Out-of-the-box Large Language Model for Open Domain Sequence Understanding". In the 38th Annual AAAI Conference on Artificial Intelligence (AAAI 2024), Vancouver, Canada, February 20-27, 2024. (Code)

2023

Chao Lou and Kewei Tu, "AMR Parsing with Causal Hierarchical Attention and Pointers". In the 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP 2023), Singapore, December 6-10, 2023. (Poster)(Code)
Zhaohui Yan, Songlin Yang, Wei Liu, and Kewei Tu, "Joint Entity and Relation Extraction with Span Pruning and Hypergraph Neural Networks". In the 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP 2023), Singapore, December 6-10, 2023. (Slides)(Poster)(Code)
Zhuo Chen, Chengyue Jiang, and Kewei Tu, "Using Interpretation Methods for Model Enhancement". In the 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP 2023), Singapore, December 6-10, 2023. (Poster)(Code)
Wei Liu, Songlin Yang, Yoon Kim, and Kewei Tu, "Simple Hardware-Efficient PCFGs with Independent Left and Right Productions". In Findings of EMNLP, 2023. (Slides)(Poster)(Code)
Pengyu Ji, Songlin Yang, and Kewei Tu, "Improving Span Representation by Efficient Span-Level Attention". In Findings of EMNLP, 2023. (Poster)(Code)
Haoyi Wu, Wenyang Hui, Yezeng Chen, Weiqi Wu, Kewei Tu, and Yi Zhou, "Conic10K: A Challenging Math Problem Understanding and Reasoning Dataset". In Findings of EMNLP, 2023. (Slides)(Poster)(Code)
Chengyue Jiang, Wenyang Hui, Yong Jiang, Xiaobin Wang, Pengjun Xie and Kewei Tu, "Recall, Expand, and Multi-Candidate Cross-Encode: Fast and Accurate Ultra-Fine Entity Typing". In the 61th Annual Meeting of the Association for Computational Linguistics (ACL 2023), Toronto, Canada, July 9-14, 2023. (Slides)(Poster)(Code)
Zixia Jia, Zhaohui Yan, Wenjuan Han, Zilong Zheng and Kewei Tu, "Modeling Instance Interactions for Joint Information Extraction with Neural High-Order Conditional Random Field". In the 61th Annual Meeting of the Association for Computational Linguistics (ACL 2023), Toronto, Canada, July 9-14, 2023. (Slides)(Poster)(Code)
Songlin Yang and Kewei Tu, "Don't Parse, Choose Spans! Continuous and Discontinuous Constituency Parsing via Autoregressive Span Selection". In the 61th Annual Meeting of the Association for Computational Linguistics (ACL 2023), Toronto, Canada, July 9-14, 2023. (Slides)(Code)
Weiqi Wu, Chengyue Jiang, Yong Jiang, Pengjun Xie and Kewei Tu, "Do PLMs Know and Understand Ontological Knowledge?". In the 61th Annual Meeting of the Association for Computational Linguistics (ACL 2023), Toronto, Canada, July 9-14, 2023. (Outstanding Paper Award) (Slides)(Poster)(Code&Data)
Jiong Cai, Shen Huang, Yong Jiang, Zeqi Tan, Pengjun Xie and Kewei Tu, "Improving Low-resource Named Entity Recognition with Graph Propagated Data Augmentation". In the 61th Annual Meeting of the Association for Computational Linguistics (ACL 2023), Toronto, Canada, July 9-14, 2023. (Poster)(Code)
Chao Lou and Kewei Tu, "Improving Grammar-based Sequence-to-Sequence Modeling with Decomposition and Constraints". In the 61th Annual Meeting of the Association for Computational Linguistics (ACL 2023), Toronto, Canada, July 9-14, 2023. (Slides)(Poster)(Code)
Haoyi Wu and Kewei Tu, "Probabilistic Transformer: A Probabilistic Dependency Model for Contextual Word Representation". In Findings of ACL, 2023. (Slides)(Poster)(Code)
Wei Liu, Songlin Yang and Kewei Tu, "Structured Mean-Field Variational Inference for Higher-Order Span-Based Semantic Role Labeling". In Findings of ACL, 2023. (Slides)(Poster)(Code)
Zeqi Tan, Shen Huang, Zixia Jia, Jiong Cai, Yinghui Li, Weiming Lu, Yueting Zhuang, Kewei Tu, Pengjun Xie, Fei Huang, and Yong Jiang, "DAMO-NLP at SemEval-2023 Task 2: A Unified Retrieval-Augmented System for Multilingual Named Entity Recognition". In the 17th International Workshop on Semantic Evaluation (SemEval 2023), Toronto, Canada, July 13-14, 2023. (Best System Paper Award)
Xiang Hu, Xinyu Kong, and Kewei Tu, "A Multi-Grained Self-Interpretable Symbolic-Neural Model For Single/Multi-Labeled Text Classification". In the Eleventh International Conference on Learning Representations (ICLR 2023), May 1–5, 2023. (Code)
Chengyue Jiang, Yong Jiang, Weiqi Wu, Yuting Zheng, Pengjun Xie, and Kewei Tu, "COMBO: A Complete Benchmark for Open KG Canonicalization". In the 17th Conference of the European Chapter of the Association for Computational Linguistics (EACL 2023), May 2–6, 2023. (Code)

2022

Chengyue Jiang, Yong Jiang, Weiqi Wu, Pengjun Xie, and Kewei Tu, "Modeling Label Correlations for Ultra-Fine Entity Typing with Neural Pairwise Conditional Random Field". In the 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP 2022), December 7–11, 2022. (Slides)(Poster)(Code)
Songlin Yang and Kewei Tu, "Semantic Dependency Parsing with Edge GNNs". In Findings of EMNLP, 2022. (Code)
Xinyu Wang, Jiong Cai, Yong Jiang, Pengjun Xie, Kewei Tu, and Wei Lu, "Named Entity and Relation Extraction with Multi-Modal Retrieval". In Findings of EMNLP, 2022. (Code)
Zhaohui Yan, Zixia Jia and Kewei Tu, "An Empirical Study of Pipeline vs. Joint Approaches to Entity and Relation Extraction". In the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing (AACL-IJCNLP 2022), November 20-23, 2022. (Poster)(Code)
Chao Lou, Wenjuan Han, and Kewei Tu, "Spa: On the Sparsity of Virtual Adversarial Training for Dependency Parsing". In Findings of AACL-IJCNLP, 2022. (Code)
Songlin Yang, Wei Liu, and Kewei Tu, "Dynamic Programming in Rank Space: Scaling Structured Inference with Low-Rank HMMs and PCFGs". In 2022 Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL 2022), Seattle, Washington, July 10-15, 2022. (Slides)(Code)
Hao Zhou, Gongshen Liu, and Kewei Tu, "Improving Constituent Representation with Hypertree Neural Networks". In 2022 Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL 2022), Seattle, Washington, July 10-15, 2022. (Slides)(Poster)(Code)
Xinyu Wang, Min Gui, Yong Jiang, Zixia Jia, Nguyen Bach, Tao Wang, Zhongqiang Huang, and Kewei Tu, "ITA: Image-Text Alignments for Multi-Modal Named Entity Recognition". In 2022 Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL 2022), Seattle, Washington, July 10-15, 2022. (Slides)(Poster)(Code)
Liwen Zhang, Zixia Jia, Wenjuan Han, Zilong Zheng, and Kewei Tu, "SHARP: Search-Based Adversarial Attack for Structured Prediction". In Findings of NAACL, 2022. (Slides)(Poster)(Code)
Xinyu Wang, Yongliang Shen, Jiong Cai, Tao Wang, Xiaobin Wang, Pengjun Xie, Fei Huang, Weiming Lu, Yueting Zhuang, Kewei Tu, Wei Lu, Yong Jiang, "DAMO-NLP at SemEval-2022 Task 11: A Knowledge-based System for Multilingual Named Entity Recognition". In the 16th International Workshop on Semantic Evaluation (SemEval 2022), Seattle, USA, July 14-15, 2022. (Best System Paper Award) (Slides)(Poster)(Code)
Songlin Yang and Kewei Tu, "Bottom-Up Constituency Parsing and Nested Named Entity Recognition with Pointer Networks". In the 60th Annual Meeting of the Association for Computational Linguistics (ACL 2022), Dublin, Ireland, May 22-27, 2022. (Slides)(Poster)(Code)
Chao Lou, Songlin Yang, and Kewei Tu, "Nested Named Entity Recognition as Latent Lexicalized Constituency Parsing". In the 60th Annual Meeting of the Association for Computational Linguistics (ACL 2022), Dublin, Ireland, May 22-27, 2022. (Slides)(Poster)(Code)
Songlin Yang and Kewei Tu, "Headed-Span-Based Projective Dependency Parsing". In the 60th Annual Meeting of the Association for Computational Linguistics (ACL 2022), Dublin, Ireland, May 22-27, 2022. (Slides)(Poster)(Code)
Songlin Yang and Kewei Tu, "Combining (Second-Order) Graph-Based and Headed-Span-Based Projective Dependency Parsing". In Findings of ACL, 2022. (Slides)(Poster)(Code)
Zixia Jia, Zhaohui Yan, Haoyi Wu, and Kewei Tu, "Span-based Semantic Role Labeling with Argument Pruning and Second-Order Inference". In the 36th AAAI Conference on Artificial Intelligence (AAAI 2022), Vancouver, Canada, February 22 – March 1, 2022. (Slides)(Poster)(Code)
Songlin Yang and Kewei Tu, "Modeling Label Correlations for Second-Order Semantic Dependency Parsing with Mean-Field Inference". Technical report, 2022.

2021

Chengyue Jiang, Zijian Jin, and Kewei Tu, "Neuralizing Regular Expressions for Slot Filling". In the 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP 2021), November 7-11, 2021. (Slides)(Poster)(Code)
Xinyu Wang, Zixia Jia, Yong Jiang, and Kewei Tu, "Enhanced Universal Dependency Parsing with Automated Concatenation of Embeddings". In the 17th International Conference on Parsing Technologies (IWPT 2021), August 6, 2021. (Slides)
Songlin Yang, Yanpeng Zhao, and Kewei Tu, "Neural Bi-Lexicalized PCFG Induction". In the Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (ACL-IJCNLP 2021), August 1-6, 2021. (Slides)(Code)
Liwen Zhang, Ge Wang, Wenjuan Han, and Kewei Tu, "Adapting Unsupervised Syntactic Parsing Methodology for Discourse Dependency Parsing". In the Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (ACL-IJCNLP 2021), August 1-6, 2021. (Slides)(Poster)(Code)
Xinyu Wang, Yong Jiang, Zhaohui Yan, Zixia Jia, Nguyen Bach, Tao Wang, Zhongqiang Huang, Fei Huang, and Kewei Tu, "Structural Knowledge Distillation: Tractably Distilling Information for Structured Predictor". In the Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (ACL-IJCNLP 2021), August 1-6, 2021. (Slides)(Code)
Xinyu Wang, Yong Jiang, Nguyen Bach, Tao Wang, Zhongqiang Huang, Fei Huang, and Kewei Tu, "Improving Named Entity Recognition by External Context Retrieving and Cooperative Learning". In the Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (ACL-IJCNLP 2021), August 1-6, 2021. (Slides)(Code)
Xinyu Wang, Yong Jiang, Nguyen Bach, Tao Wang, Zhongqiang Huang, Fei Huang, and Kewei Tu, "Automated Concatenation of Embeddings for Structured Prediction". In the Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (ACL-IJCNLP 2021), August 1-6, 2021. (Slides)(Code)
Zechuan Hu, Yong Jiang, Nguyen Bach, Tao Wang, Zhongqiang Huang, Fei Huang, and Kewei Tu, "Multi-View Cross-Lingual Structured Prediction with Minimum Supervision". In the Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (ACL-IJCNLP 2021), August 1-6, 2021. (Slides)(Code)
Zechuan Hu, Yong Jiang, Nguyen Bach, Tao Wang, Zhongqiang Huang, Fei Huang, and Kewei Tu, "Risk Minimization for Zero-shot Sequence Labeling". In the Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (ACL-IJCNLP 2021), August 1-6, 2021. (Slides)
Yixian Liu, Liwen Zhang, Xinyu Zhang, Yong Jiang, Yue Zhang, and Kewei Tu, "Generalized Supervised Attention for Text Generation". In Findings of ACL, 2021. (Slides)(Code)
Songlin Yang, Yanpeng Zhao, and Kewei Tu, "PCFGs Can Do Better: Inducing Probabilistic Context-Free Grammars with Many Symbols". In the 2021 Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL 2021), June 6-11, 2021. (Slides)(Poster)(Code)
Yixian Liu, Liwen Zhang, Wenjuan Han, Yue Zhang, and Kewei Tu, "Constrained Text Generation with Global Guidance -- Case Study on CommonGen". Technical report, 2020.

2020

Wenjuan Han, Yong Jiang, Hwee Tou Ng, and Kewei Tu, "A Survey of Unsupervised Dependency Parsing". In the 28th International Conference on Computational Linguistics (COLING 2020), December 8-13, 2020. (Slides)
Songlin Yang, Yong Jiang, Wenjuan Han, and Kewei Tu, "Second-Order Unsupervised Neural Dependency Parsing". In the 28th International Conference on Computational Linguistics (COLING 2020), December 8-13, 2020. (Poster)(Code)
Ge Wang and Kewei Tu, "Semi-Supervised Dependency Parsing with Arc-Factored Variational Autoencoding". In the 28th International Conference on Computational Linguistics (COLING 2020), December 8-13, 2020. (Slides)(Code)
Ruyue Hong, Jiong Cai, and Kewei Tu, "Deep Inside-outside Recursive Autoencoder with All-span Objective". In the 28th International Conference on Computational Linguistics (COLING 2020), December 8-13, 2020. (Poster)
Chengyue Jiang, Yinggong Zhao, Shanbo Chu, Libin Shen, and Kewei Tu, "Cold-start and Interpretability: Turning Regular Expressions into Trainable Recurrent Neural Networks". In the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP 2020), November 16–20, 2020. (Slides)(Code)
Wenjuan Han, Liwen Zhang, Yong Jiang, and Kewei Tu, "Adversarial Attack and Defense of Structured Prediction Models". In the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP 2020), November 16–20, 2020. (Slides)(Code)(Erratum)
Xinyu Wang, Yong Jiang, Nguyen Bach, Tao Wang, Zhongqiang Huang, Fei Huang, and Kewei Tu, "AIN: Fast and Accurate Sequence Labeling with Approximate Inference Network". In the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP 2020), November 16–20, 2020. (Slides)(Code)
Zechuan Hu, Yong Jiang, Nguyen Bach, Tao Wang, Zhongqiang Huang, Fei Huang, and Kewei Tu, "An Investigation of Potential Function Designs for Neural CRF". In Findings of EMNLP, 2020. (Code)
Zhao Li and Kewei Tu, "Unsupervised Cross-Lingual Adaptation of Dependency Parsers Using CRF Autoencoders". In Findings of EMNLP, 2020. (Code)
Chengyue Jiang, Zhonglin Nian, Kaihao Guo, Shanbo Chu, Yinggong Zhao, Libin Shen, and Kewei Tu, "Learning Numeral Embedding". In Findings of EMNLP, 2020. (Code)
Xinyu Wang, Yong Jiang, Nguyen Bach, Tao Wang, Zhongqiang Huang, Fei Huang, and Kewei Tu, "More Embeddings, Better Sequence Labelers?". In Findings of EMNLP, 2020.
Xinyu Wang and Kewei Tu, "Second-Order Neural Dependency Parsing with Message Passing and End-to-End Training". In the 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing (AACL-IJCNLP 2020), December 4-7, 2020. (Slides)(Code)
Xinyu Wang, Yong Jiang, and Kewei Tu, "Enhanced Universal Dependency Parsing with Second-Order Inference and Mixture of Training Data". In the 16th International Conference on Parsing Technologies (IWPT 2020), July 9, 2020. (Slides)
Zixia Jia, Youmi Ma, Jiong Cai, and Kewei Tu, "Semi-Supervised Semantic Dependency Parsing Using CRF Autoencoders". In the 58th Annual Meeting of the Association for Computational Linguistics (ACL 2020), July 5–10, 2020. (Slides)(Code)
Xinyu Wang, Yong Jiang, Nguyen Bach, Tao Wang, Fei Huang, and Kewei Tu, "Structure-Level Knowledge Distillation For Multilingual Sequence Labeling". In the 58th Annual Meeting of the Association for Computational Linguistics (ACL 2020), July 5–10, 2020. (Slides)(Code)
Jun Li, Yifan Cao, Jiong Cai, Yong Jiang, and Kewei Tu, "An Empirical Comparison of Unsupervised Constituency Parsing Methods". In the 58th Annual Meeting of the Association for Computational Linguistics (ACL 2020), July 5–10, 2020. (Slides)(Code)(Erratum)
Bo Pang, Erik Nijkamp, Wenjuan Han, Linqi Zhou, Yixian Liu, and Kewei Tu, "Towards Holistic and Automatic Evaluation of Open-Domain Dialogue Generation". In the 58th Annual Meeting of the Association for Computational Linguistics (ACL 2020), July 5–10, 2020. (Code)
Ge Wang, Ziyuan Hu, Zechuan Hu, and Kewei Tu, "An Empirical Study of Encoders and Decoders in Graph-Based Dependency Parsing". In IEEE Access, volume 8, page 35770-35776, 2020.
屠可伟, 李俊, "句法分析前沿动态综述", 中文信息学报, volume 34, issue 7, page 30-41, 2020.

2019

Xinyu Wang, Yixian Liu, Zixia Jia, Chengyue Jiang, and Kewei Tu, "ShanghaiTech at MRP 2019: Sequence-to-Graph Transduction with Second-Order Edge Inference for Cross-Framework Meaning Representation Parsing". In the Conference on Computational Natural Language Learning (CoNLL 2019), Hong Kong, China, November 3–4, 2019. (Poster)
Wenjuan Han, Ge Wang, Yong Jiang, and Kewei Tu, "Multilingual Grammar Induction with Continuous Language Identification". In the 2019 Conference on Empirical Methods in Natural Language Processing and 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP 2019), Hong Kong, China, November 3–7, 2019. (Slides)(Code)
Yong Jiang, Wenjuan Han, and Kewei Tu, "A Regularization-Based Framework for Bilingual Grammar Induction". In the 2019 Conference on Empirical Methods in Natural Language Processing and 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP 2019), Hong Kong, China, November 3–7, 2019. (Poster)
Xinyu Wang, Jingxian Huang, and Kewei Tu, "Second-Order Semantic Dependency Parsing with End-To-End Neural Networks". In the 57th Annual Meeting of the Association for Computational Linguistics (ACL 2019), Florence, Italy, July 28 – August 2, 2019. (Poster)(Code)(Code v2)(Erratum)
Liwen Zhang, Kewei Tu, and Yue Zhang, "Latent Variable Sentiment Grammar". In the 57th Annual Meeting of the Association for Computational Linguistics (ACL 2019), Florence, Italy, July 28 – August 2, 2019. (Poster)(Code)
Wenjuan Han, Yong Jiang, and Kewei Tu, "Enhancing Unsupervised Generative Dependency Parser with Contextual Information". In the 57th Annual Meeting of the Association for Computational Linguistics (ACL 2019), Florence, Italy, July 28 – August 2, 2019. (Poster)
Yunzhe Yuan, Yong Jiang, and Kewei Tu, "Bidirectional Transition-Based Dependency Parsing". In the Thirty-Third AAAI Conference on Artificial Intelligence (AAAI 2019), Honolulu, Hawaii, USA, January 27 - February 1, 2019. (Poster)(Code)
Wenjuan Han, Yong Jiang, and Kewei Tu, "Lexicalized Neural Unsupervised Dependency Parsing". In Neurocomputing, volume 349, page 105-115, 2019.
Wenjuan Han, Ge Wang, and Kewei Tu, "Latent Variable Autoencoder". In IEEE Access, volume 7, issue 1, page 48514-48523, 2019.
Yong Jiang, Jiong Cai, and Kewei Tu, "Robust Unsupervised Discriminative Dependency Parsing". In Tsinghua Science and Technology, volume 25, issue 2, page 192–202, 2020.
Yong Jiang, Yang Zhou, and Kewei Tu, "Projective Latent Dependency Forest Models". In IEEE Access, volume 7, issue 1, page 12328–12338, 2019.

2018

Lin Qiu, Hao Zhou, Yanru Qu, Weinan Zhang, Suoheng Li, Shu Rong, Dongyu Ru, Lihua Qian, Kewei Tu, and Yong Yu, "QA4IE: A Question Answering based Framework for Information Extraction". In the 17th International Semantic Web Conference (ISWC 2018), Monterey, California, USA, October 8–12, 2018.
Yanpeng Zhao, Liwen Zhang, and Kewei Tu, "Gaussian Mixture Latent Vector Grammars". In the 56th Annual Meeting of the Association for Computational Linguistics (ACL 2018), Melbourne, Australia, July 15–20, 2018. (Supplementary material)(Slides)(Code)
Jun Mei, Yong Jiang, and Kewei Tu, "Maximum A Posteriori Inference in Sum-Product Networks". In the Thirty-Second AAAI Conference on Artificial Intelligence (AAAI 2018), New Orleans, Lousiana, USA, February 2–7, 2018. (Supplementary material)(Slides)(Code)
Yong Jiang, Yang Zhou, and Kewei Tu, "Learning and Evaluation of Latent Dependency Forest Models". In Neural Computing and Applications, volume 31, page 6795–6805, 2019.
Yanpeng Zhao, Wei Bi, Deng Cai, Xiaojiang Liu, Kewei Tu, and Shuming Shi, "Language Style Transfer from Sentences with Arbitrary Unknown Styles". Technical report, 2018.

2017

Chen Zhu, Yanpeng Zhao, Shuaiyi Huang, Kewei Tu, and Yi Ma, "Structured Attentions for Visual Question Answering". In the International Conference on Computer Vision (ICCV 2017), Venice, Italy, October 22-29, 2017. (Code)(Poster)
Yong Jiang, Wenjuan Han, and Kewei Tu, "Combining Generative and Discriminative Approaches to Unsupervised Dependency Parsing via Dual Decomposition". In the Conference on Empirical Methods in Natural Language Processing (EMNLP 2017), Copenhagen, Denmark, September 7–11, 2017. (Poster)(Erratum)
Wenjuan Han, Yong Jiang, and Kewei Tu, "Dependency Grammar Induction with Neural Lexicalization and Big Training Data". In the Conference on Empirical Methods in Natural Language Processing (EMNLP 2017), Copenhagen, Denmark, September 7–11, 2017. (Supplementary material)(Poster)
Jiong Cai, Yong Jiang, and Kewei Tu, "CRF Autoencoder for Unsupervised Dependency Parsing". In the Conference on Empirical Methods in Natural Language Processing (EMNLP 2017), Copenhagen, Denmark, September 7–11, 2017. (Code)(Poster)
Xiao Zhang, Yong Jiang, Hao Peng, Kewei Tu, and Dan Goldwasser, "Semi-supervised Structured Prediction with Neural CRF Autoencoder". In the Conference on Empirical Methods in Natural Language Processing (EMNLP 2017), Copenhagen, Denmark, September 7–11, 2017. (Code)(Poster)
Yanpeng Zhao, Yetian Chen, Kewei Tu, and Jin Tian, "Learning Bayesian Network Structures Under Incremental Construction Curricula". In Neurocomputing, volume 258, pages 30–40, 2017.
Shanbo Chu, Yong Jiang, and Kewei Tu, "Latent Dependency Forest Models". In the Thirty-First AAAI Conference on Artificial Intelligence (AAAI 2017), San Francisco, California, USA, February 4–9, 2017. (Supplementary material)(Poster)

2016

Yanpeng Zhao, Shanbo Chu, Yang Zhou, and Kewei Tu, "Sequence Prediction Using Neural Network Classifiers". In the 13th International Conference on Grammatical Inference (ICGI 2016), Delft, the Netherlands, October 5-7, 2016.
Lin Qiu, Kewei Tu, and Yong Yu, "Context-Dependent Sense Embedding". In the Conference on Empirical Methods in Natural Language Processing (EMNLP 2016), Austin, Texas, USA, November 1-5, 2016. (Slides)
Yong Jiang, Wenjuan Han, and Kewei Tu, "Unsupervised Neural Dependency Parsing". In the Conference on Empirical Methods in Natural Language Processing (EMNLP 2016), Austin, Texas, USA, November 1-5, 2016. (Poster)(Reimplementation)
Kewei Tu, "Modified Dirichlet Distribution: Allowing Negative Parameters to Induce Stronger Sparsity". In the Conference on Empirical Methods in Natural Language Processing (EMNLP 2016), Austin, Texas, USA, November 1-5, 2016. (Poster)(Code)
Kewei Tu, "Stochastic And-Or Grammars: A Unified Framework and Logic Perspective". In the 25th International Joint Conference on Artificial Intelligence (IJCAI 2016), New York City, USA, July 9-15, 2016. (Supplementary material)(Slides)(Poster)
(Also accepted and presented at the Sixth International Workshop on Statistical Relational AI (StarAI 2016), New York City, USA, July 11, 2016)

Before 2016

Yanpeng Zhao, Yetian Chen, Kewei Tu, and Jin Tian, "Curriculum Learning of Bayesian Network Structures". In the 7th Asian Conference on Machine Learning (ACML 2015), Hong Kong, China, November 20-22, 2015. (Supplementary material)(Slides)(Poster)(Code)
Maria Pavlovskaia, Kewei Tu, and Song-Chun Zhu, "Mapping the Energy Landscape of Non-Convex Optimization Problems". In the 10th International Conference on Energy Minimization Methods in Computer Vision and Pattern Recognition (EMMCVPR 2015), Hong Kong, China, January 13-16, 2015.
Maria Pavlovskaia, Kewei Tu, and Song-Chun Zhu, "Mapping Energy Landscapes of Non-Convex Learning Problems". Technical report, September, 2014.
Kewei Tu, "Towards a Unified Logic Perspective of Stochastic And-Or Grammars". In ICML Workshop of Learning Tractable Probabilistic Models, Beijing, China, June 26, 2014.
Kewei Tu, Meng Meng, Mun Wai Lee, Tae Eun Choe, and Song-Chun Zhu, "Joint Video and Text Parsing for Understanding Events and Answering Queries". In IEEE MultiMedia, vol. 21, no. 2, pp. 42-70, 2014.(arXiv)(Website)
Kewei Tu, Maria Pavlovskaia, and Song-Chun Zhu, "Unsupervised Structure Learning of Stochastic And-Or Grammars". In Advances in Neural Information Processing Systems 26 (NIPS 2013), Lake Tahoe, Nevada, USA, December 5-10, 2013. (Supplementary material)(Poster)(Datasets)(Code)
Kewei Tu and Vasant Honavar, "Unambiguity Regularization for Unsupervised Learning of Probabilistic Grammars". In Proceedings of the 2012 Conference on Empirical Methods in Natural Language Processing and Natural Language Learning (EMNLP-CoNLL 2012), Jeju, Korea, July 12-14, 2012. (Slides)
Kewei Tu, "Combining the Sparsity and Unambiguity Biases for Grammar Induction". In PASCAL Challenge on Grammar Induction, NAACL-HLT 2012 Workshop on Inducing Linguistic Structure, Montréal, Canada, June 7, 2012. (Poster)
Kewei Tu, "Unsupervised Learning of Probabilistic Grammars". Ph.D. Dissertation, Iowa State University, January 2012.
Kewei Tu and Vasant Honavar, "On the Utility of Curricula in Unsupervised Learning of Probabilistic Grammars". In Proceedings of the Twenty-second International Joint Conference on Artificial Intelligence (IJCAI 2011), Barcelona, Catalonia, Spain, July 16-22, 2011. (Supplementary material)(Slides)
Kewei Tu, Xixiu Ouyang, Dingyi Han, Yong Yu, and Vasant Honavar, "Exemplar-based Robust Coherent Biclustering". In Proceedings of the 11th SIAM International Conference on Data Mining (SDM 2011), Phoenix/Mesa, Arizona, April 28-30, 2011. (Source code)(Poster)
Kewei Tu and Vasant Honavar, "An Empirical Study of Hierarchical Dirichlet Process Priors for Grammar Induction". In NIPS Workshop of Grammar Induction, Representation of Language and Language Learning, Whistler, Canada, December 11, 2009. (Poster)
Kewei Tu and Vasant Honavar, "Unsupervised Learning of Probabilistic Context-Free Grammar Using Iterative Biclustering". In Proceedings of 9th International Colloquium on Grammatical Inference (ICGI 2008), LNCS 5278, St Malo, Brittany, France, September 22-24, 2008. (Extended version)(Source code)(Slides)
KeWei Tu, Miao Xiong, Lei Zhang, HaiPing Zhu, Jie Zhang, and Yong Yu, "Towards Imaging Large-Scale Ontologies for Quick Understanding and Analysis". In Proceedings of the Fourth International Semantic Web Conference (ISWC 2005), LNCS 3729/2005, Galway, Ireland, November 6-10, 2005.
Jing Lu, Yong Yu, Kewei Tu, Chenxi Lin, and Lei Zhang, "An Approach to RDF(S) Query, Manipulation and Inference on Databases". In Proceedings of the 6th International Conference on Web-Age Information Management (WAIM 2005), LNCS 3739/2005, Hangzhou, China, October 11-13, 2005.
KeWei Tu, "Automatic Ontology Mapping by Combining Multiple Stratergies" (in Chinese). Master thesis, Shanghai Jiaotong University, Jan 2005.
KeWei Tu and Yong Yu, "CMC: Combining Multiple Schema-Matching Strategies based on Credibility Prediction". In Proceedings of the 10th International Conference on Database Systems for Advanced Applications (DASFAA 2005), LNCS 3453, Beijing, China, April 17-20, 2005. (Full version)
Lei Zhang, Yong Yu, Jing Lu, Chenxi Lin, KeWei Tu, MingChuan Guo, Zhuo Zhang, GuoTong Xie, Zhong Su, and Yue Pan, "ORIENT: Integrate Ontology Engineering into Industry Tooling Environment". In Proceedings of the 3rd International Semantic Web Conference (ISWC 2004), LNCS 3298, Hiroshima, Japan, Nov.7-11, 2004.
Kewei Tu, Jing Lu, Haiping Zhu, Guowei Liu, and Yong Yu, "A Semantic Search Approach by Graph Matching with Negations and Inferences", In Proceedings of the 11th International Conference on Conceptual Structures (ICCS 2003), LNCS 2746, Dresden, Germany, July 21-25, 2003.

Last update: Oct. 26, 2024