Zhenghao Liu Associate Professor Room B233, Building of Information Dept. of Computer Science and Technology Northeastern University Shenyang, China, 110169 Email: liuzhenghao at mail dot neu dot edu dot cn

Biography

I am an associate professor of Department of Computer Science and Technology, Northeastern University, Shenyang, China.

My research interests lie at information retrieval, question answering, and grammatical error correction.

Experience

• Dept. of Computer Science and Technology, Northeastern University, Shenyang, China
  Aug, 2021 - Present
  
  Associate Professor
  
• THUNLP Lab, Tsinghua University, Beijing, China
  Aug, 2016 - Jun, 2021
  
  Ph.D Candidate
  Supervisor: Maosong Sun
  
• Dept. of Computer Science and Technology, Northeastern University, Shenyang, China
  Sep, 2012 - Jul, 2016
  
  Undergraduate Student
  

Publications [Google Scholar]

* indicates equal contribution.

# indicates corresponding author.

2023

• Zhenghao Liu, Chenyan Xiong, Yuanhuiyi Lv, Zhiyuan Liu, Ge Yu. Universal Multi-Modal Retrieval: Learning A Unified Representation Space for Vision Language Retrieval. The Eleventh International Conference on Learning Representations (ICLR 2023). [pdf][codes].
• Zhenghao Liu*#, Sen Mei, Chenyan Xiong, Xiaohua Li, Shi Yu, Zhiyuan Liu, Yu Gu, Ge Yu. Text Matching Improves Sequential Recommendation by Reducing Popularity Biases The 32nd ACM International Conference on Information and Knowledge Management (CIKM 2023). .
• Shi Yu, Zhenghao Liu, Chenyan Xiong, Zhiyuan Liu. OpenMatch-v2: An All-in-one Multi-Modality PLM-based Information Retrieval Toolkit. The 46th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2023). [pdf][codes].
• Xinze Li, Zhenghao Liu#, Chenyan Xiong, Shi Yu, Yu Gu, Zhiyuan Liu, Ge Yu. Structure-Aware Language Model Pretraining Improves Dense Retrieval on Structured Data. Findings of the Association for Computational Linguistics: ACL 2023 (ACL 2023). [pdf][codes].
• Ruining Chong, Cunliang Kong, Liu Wu, Zhenghao Liu, Ziye Jin, Liner Yang, Yange Fan, Hanghang Fan, Erhong Yang. Leveraging Prefix Transfer for Multi-Intent Text Revision. The 61st Annual Meeting of the Association for Computational Linguistics (ACL 2023). [pdf].

  2022

• Zhenghao Liu, Han Zhang, Chenyan Xiong, Zhiyuan Liu, Yu Gu, Xiaohua Li. Dimension Reduction for Efficient Dense Retrieval via Conditional Autoencoder. The 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP 2022). [pdf][codes].
• Xiaomeng Hu, Shi Yu, Chenyan Xiong, Zhenghao Liu#, Zhiyuan Liu, Ge Yu. P3 Ranker: Mitigating the Gaps between Pre-training and Ranking Fine-tuning with Prompt-based Learning and Pre-finetuning. The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2022). [pdf][codes].

  2021

• Zhenghao Liu, Xiaoyuan Yi, Maosong Sun, Liner Yang, Tat-Seng Chua. Neural Quality Estimation with Multiple Hypotheses for Grammatical Error Correction. The 2021 Conference of the North American Chapter of the Association for Computational Linguistics - Human Language Technologies (NAACL-HLT 2021). [pdf][codes].
• Zhenghao Liu*, Kaitao Zhang*, Chenyan Xiong, Zhiyuan Liu, Maosong Sun. OpenMatch: An Open Source Library for Neu-IR Research. The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2021). [pdf][codes].
• Shi Yu*, Zhenghao Liu*, Chenyan Xiong, Tao Feng, Zhiyuan Liu. Few-Shot Conversational Dense Retrieval. The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2021). [pdf][codes].
• Yizhi Li*, Zhenghao Liu*, Chenyan Xiong, Zhiyuan Liu. More Robust Dense Retrieval with Contrastive Dual Learning. The 2021 ACM SIGIR International Conference on the Theory of Information Retrieval (ICTIR 2021). [pdf][codes].
• Si Sun*, Zhenghao Liu*, Chenyan Xiong, Zhiyuan Liu and Jie Bao. Capturing Global Informativeness in Open Domain Keyphrase Extraction. The CCF Conference on Natural Language Processing and Chinese Computing (NLPCC 2021). [pdf][codes].
• Si Sun, Yingzhuo Qian, Zhenghao Liu, Chenyan Xiong, Kaitao Zhang, Jie Bao, Zhiyuan Liu, Paul Bennett. Few-Shot Text Ranking with Meta Adapted Synthetic Weak Supervision. 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). [pdf][codes].
• Huiyuan Xie, Zhenghao Liu, Chenyan Xiong, Zhiyuan Liu and Ann Copestake . TIAGE: A Benchmark for Topic-Shift Aware Dialog Modeling. Findings of the 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP 2021). [pdf][codes]

  2020

• Zhenghao Liu, Chenyan Xiong, Maosong Sun, Zhiyuan Liu. Fine-grained Fact Verification with Kernel Graph Attention Network. The 58th Annual Meeting of the Association for Computational Linguistics (ACL 2020). [pdf][codes].
• Zhenghao Liu, Chenyan Xiong, Zhuyun Dai, Si Sun, Maosong Sun, Zhiyuan Liu. Adapting Open Domain Fact Extraction and Verification to COVID-FACT through In-Domain Language Modeling. Findings of the Association for Computational Linguistics: EMNLP 2020 (EMNLP 2020). [pdf][codes].
• Houyu Zhang*, Zhenghao Liu*, Chenyan Xiong, Zhiyuan Liu. Grounded Conversation Generation as Guided Traverses in Commonsense Knowledge Graphs. The 58th Annual Meeting of the Association for Computational Linguistics (ACL 2020). [pdf][codes].
• Chenyan Xiong*, Zhenghao Liu*, Si Sun*, Zhuyun Dai*, Kaitao Zhang*, Shi Yu*, Zhiyuan Liu, Hoifung Poon, Jianfeng Gao, Paul Bennett. CMT in TREC-COVID Round 2: Mitigating the Generalization Gaps from Web to Special Domain Search. [pdf][codes].
• Xiaoyuan Yi, Zhenghao Liu, Wenhao Li, Maosong Sun. 2020. Text Style Transfer via Learning Style Instance Supported Latent Space. The 28th International Joint Conference on Artificial Intelligence (IJCAI 2019). [pdf].
• Kaitao Zhang, Chenyan Xiong, Zhenghao Liu, Zhiyuan Liu. Selective Weak Supervision for Neural Information Retrieval. The Web Conference 2020 (WebConf 2020). [pdf][codes].
• Deming Ye, Yankai Lin, Jiaju Du, Zhenghao Liu, Peng Li, Maosong Sun, Zhiyuan Liu. Coreferential Reasoning Learning for Language Representation. Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP 2020). [pdf][codes].

  2019

• Zhenghao Liu, Chenyan Xiong, Maosong Sun, Zhiyuan Liu. Explore Entity Embedding Effectiveness in Entity Retrieval. The 18th China National Conference on Computational Linguistics (CCL 2019).[pdf][codes].
• Yifan Qiao, Chenyan Xiong, Zhenghao Liu, Zhiyuan Liu. Understanding the Behaviors of BERT in Ranking. arXiv preprint arXiv:1904.07531.[pdf].
• Yuan Yao, Deming Ye, Peng Li, Xu Han, Yankai Lin, Zhenghao Liu, Zhiyuan Liu, Lixin Huang, Jie Zhou, Maosong Sun. DocRED: A Large-Scale Document-Level Relation Extraction Dataset. The 57th Annual Meeting of the Association for Computational Linguistics (ACL 2019).[pdf][codes].

  2018

• Zhenghao Liu, Chenyan Xiong, Maosong Sun, Zhiyuan Liu. Entity-Duet Neural Ranking: Understanding the Role of Knowledge Graph Semantics in Neural Information Retrieval. The 56th Annual Meeting of the Association for Computational Linguistics (ACL 2018).[pdf][codes].

  2017

• Liner Yang, Maosong Sun, Jiacheng Zhang, Zhenghao Liu, Huanbo Luan, Yang Liu. Neural Parse Combination. Journal of Computer Science and Technology, 2017.[pdf].

Scientific Research Fund Projects

• Joint Semantic Modeling of Muti-fragment Representations for Rich Text Retrieval. Natural Science Foundation of China under Grant No. 62206042.
• Language Model Pretraining Methods for Semantic Matching based Information Retrieval. Wudao Project supported by the Beijing Academy of Artificial Intelligence (BAAI).
• Semantic Retrieval and Answer Generation for More Accurate Open Domain Question Answering. China Postdoctoral Science Foundation under Grant No. 2022M710022.
• Open Domain Question Answering with Text Semantic Matching. The Fundamental Research Funds for the Central Universities under Grant No. N2216013.

Open Source Projects

• Information Retrieval in Biomedicine
  TREC-COVID is a competition that aims to retrieve COVID-related literature. We win first place in Round 2 of the TREC-COVID competition. Our method is used in Microsoft biomedical search [More Info].
  
• OpenMatch
  We run the OpenMatch organization, which collaborates with THUNLP and MSR. It contains open source toolkit and neural IR research.
  
• Tsinghua Wenda
  A toolkit for grammatical error correction.
  

Professional Activities

Academic Services:
Session Chair of MLNLP 2022.

Conference Reviews:
NeurIPS, ICML, SMP, COLING, WWW, ECAI, EMNLP, AAAI, NAACL, ACL, EACL.

Talks:
"From Exact Matching to Semantic Matching: Using neural models for ranking" at Hong Kong University of Science and Technology (HKUST) [slides].

Thesis

Automatic Proofreading of English Text with Rich Information (In Chinese) [pdf].

Teaching

Discrete mathematics (Undergraduate Course)

Introduction to Data Science (Undergraduate Course)

Principles and practice of data science (Graduate Course)

Calendar