Zhenqiao Song 「宋珍巧」

I am a Ph.D. student at University of California Santa Barbara, advised by Prof. Lei Li. Before that, I had been a researcher at ByteDance AI-Lab MLNLC group for two years, advised by Prof. Hao Zhou. I received my master's degree from Fudan University (FDU). During this period, I worked as a student researcher advised by Prof. Xiaoqing Zheng in Fudan University Natural Language Processing Group.

Email: zqsong108[at]gmail.com

Github   /   Google Scholar   /   CV     

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Research Topics

My research interests lie in the general area of natural language processing. I used to study applications on generative modeling and cross-lingual representation learning. Recently, I focus on efficient generative modeling, e.g., multilingual text generation and parallel multilingual translation. I also study protein design now.

News

  • Oct. 2023: We will organize the first GenBio Workshop on New Frontiers of Generative AI and Biology (GenBio) in New Orleans in Dec. 2023! Look for more details here(1st GenBio)
  • Jun. 2023- Sep.2023: Internship at Broad Institue of Havard and MIT, woking with Wengong jin.
  • May 2023: Invited talk about my work "Importance Weighted Expectation-Maximization for Protein Sequence Design" at BytaDance Research!

Selected Publication (Refer to my Google Scholar to check the full publication. # denotes student finished the work under my supervision.)

Preprint.

Functional Geometry Guided Protein Sequence and Backbone Structure Co-Design [code]
Zhenqiao Song,  Yunlong Zhao,  Wenxian Shi,  Yang Yang,  Lei Li 

Joint Design of Protein Sequence and Structure based on Motifs
Zhenqiao Song,  Yunlong Zhao,  Yufei Song,  Wenxian Shi,  Yang Yang,  Lei Li 

Conference Papers

Importance Weighted Expectation-Maximization for Protein Sequence Design [code]
Zhenqiao Song,  Lei Li 
Proceedings of the 2023 International Conference on Machine Learning (ICML), 2023  

MTG: A Benchmarking Suite for Multilingual Text Generation
Yiran Chen#Zhenqiao Song*,  Xuanze Wu,  Danqing Wang,  Jingjing Xu,  Jiaze Chen,  Hao Zhou,  Lei Li 
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT Findings), 2022  

switch-GLAT: Multilingual Parallel Machine Translation Via Code-Switch Decoder
Zhenqiao Song,  Hao Zhou,  Lihua Qian,  Jingjing Xu,  Mingxuan Wang,  Lei Li 
Proceedings of the International Conference on Learning Representations (ICLR), 2021  

Triangular Bidword Generation for Sponsored Search Auction
Zhenqiao Song,  Jiaze Chen,  Hao Zhou,  Lei Li 
Proceedings of the 14th ACM International Conference on Web Search and Data Mining (WSDM), 2021  

Improving Coreference Resolution by Leveraging Entity-Centric Features with Graph Neural Networks and Second-order Inference
Lu Liu,  Zhenqiao Song,  Xiaoqing Zheng,  Xuanjing Huang 
arXiv preprint arXiv:2009.04639, 2020  

Generating responses with a specific emotion in dialog
Zhenqiao Song,  Xiaoqing Zheng,  Lu Liu,  Mu Xu,  Xuanjing Huang 
Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics (ACL), 2019  

Journal Papers

Jointly Learning Bilingual Word Embeddings and Alignments
Zhenqiao Song,  Xiaoqing Zheng,  Xuanjing Huang 
Journal of Machine Translation, 2021  

Exploring Implicit Semantic Constraints for Bilingual Word Embeddings
Jinsong Su,  Zhenqiao Song,  Yaojie Lu,  Mu Xu,  Changxing Wu,  Yidong Chen, 
Journal of Neural Processing Letters, 2018  

Professional Services

PC Members/Reviewers:

  • EMNLP: 2020, 2022, 2023
  • NLPCC: 2022, 2023
  • IJCAI: 2023
  • ACL: 2023
  • ICML: 2023
  • NeurIPS: 2023
  • ICLR: 2023
  • TMLR
  • Program Chair/Organizer:
  • The 1st GenBio workshop at NeurIPS 2023.


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    Updated at Sep. 2022
    Thanks Jon Barron for this amazing work