Jinfeng Li

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I am currently working on distributed computing. I was a research scientist at Megagon Labs, USA. I obtained Ph.D. degree from the CSE department of The Chinese University of Hong Kong. Before coming to CUHK, I got my bachelor degree from the Faculty of Computer Science, Sun Yat-sen University in 2014. My background spans distributed computing, natural language processing and large-scale nearest neighbors search. [CV]

Email: jfli@cse.cuhk.edu.hk

Publications

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2022

• Yoshihiko Suhara, Jinfeng Li, Yuliang Li, Dan Zhang, Çağatay Demiralp, Chen Chen, Wang-Chiew Tan
  Annotating columns with pre-trained language models
  SIGMOD 2022, Proceedings of the 2022 International Conference on Management of Data
  [code]

• Chieh-Yang Huang, Jinfeng Li, Nikita Bhutani, Alexander Whedon, Estevam Hruschka, Yoshi Suhara
  Distilling Salient Reviews with Zero Labels
  FEVER 2022, Proceedings of the Fifth Fact Extraction and VERification Workshop (FEVER), Co-located with Association for Computational Linguistics (ACL) 2022.

• Jinfeng Li, Nikita Bhutani, Alexander Whedon, Chieh-Yang Huang, Estevam Hruschka, Yoshihiko Suhara
  Extracting Salient Facts from Company Reviews with Scarce Labels
  AIBSD 2022, AAAI Workshop on Artificial Intelligence with Biased or Scarce Data (AIBSD)

2021

• Yuliang Li, Jinfeng Li, Yoshihiko Suhara, Jin Wang, Wataru Hirota, Wang-Chiew Tan
  Deep entity matching: Challenges and opportunities
  MDIQ 2021, ACM Journal of Data and Information Quality

• Yuliang Li, Aaron Feng, Jinfeng Li, Shuwei Chen, Saran Mumick, Alon Halevy, Vivian Li, Wang-Chiew Tan
  Querying subjective data
  VLDBJ 2021, The VLDB Journal

• Nofar Carmeli, Xiaolan Wang, Yoshihiko Suhara, Stefanos Angelidis, Yuliang Li, Jinfeng Li, Wang-Chiew Tan
  Constructing explainable opinion graphs from reviews
  WWW 2021, Proceedings of the Web Conference

2020

• Jinfeng Li, Yuliang Li, Xiaolan Wang, Wang-Chiew Tan
  Deep or Simple Models for Semantic Tagging? It Depends on your Data
  PVLDB 2020, 46th International Conference on Very Large Data Bases
  [code], [slide]

• Dan Zhang, Yoshihiko Suhara, Jinfeng Li, Madelon Hulsebos, Çagatay Demiralp, Wang-Chiew Tan
  Sato: Contextual Semantic Type Detection in Tables
  PVLDB 2020, 46th International Conference on Very Large Data Bases
  [code]

• Yuliang Li, Jinfeng Li, Yoshihiko Suhara, AnHai Doan, Wang-Chiew Tan
  Deep Entity Matching with Pre-Trained Language Models
  PVLDB 2021 (Scalable Data Science) To Appear, 47th International Conference on Very Large Data Bases
  [code]

• Xiaolan Wang, Yoshihiko Suhara, Natalie Nuno, Yuliang Li, Jinfeng Li, Nofar Carmeli, Stefanos Angelidis, Eser Kandogann, Wang-Chiew Tan
  ExtremeReader: An interactive explorer for customizable and explainable review summarization.
  WWW Demo 2020, 31th The Web Conference
  [homepage]

2019

• Yuliang li, Aaron Feng, Jinfeng Li, Saran Mumick, Alon Y. Halevy, Vivian Li, Wang-Chiew Tan
  Subjective Databases
  PVLDB 2019, 45th International Conference on Very Large Data Bases
  [code]

• Sara Evensen, Aaron Feng, Alon Y. Halevy, Jinfeng Li, Vivian Li, Yuliang Li, Huining Liu, George A. Mihaila, John Morales, Natalie Nuno, Ekaterina Pavlovic, Wang-Chiew Tan, Xiaolan Wang
  Voyageur: An Experiential Travel Search Engine.
  WWW Demo 2019, 30th The Web Conference
  [homepage]

2018

• Jinfeng Li, Xiao Yan, Jian Zhang, An Xu, James Cheng, Jie Liu, Kelvin Ng, and Ti-Chung Cheng
  A General and Efficient Querying Method for Learning to Hash
  SIGMOD 2018, In Proceedings of the 37th ACM SIGMOD International Conference on Management of Data
  [homepage], [code], [slide], [poster]

• Xiao Yan, Jinfeng Li, Xinyan Dai, Hongzhi Chen, James Cheng
  Norm-Ranging LSH for Maximum Inner Product Search
  NIPS 2018, In Proceedings of the 32nd Conference on Neural Information Processing Systems
  [homepage], [code (we used this one during NIPS submission and rebuttal)]

2017

• Jinfeng Li, James Cheng, Fan Yang, Yuzhen Huang, Yunjian Zhao, Xiao Yan, Ruihao Zhao
  LoSHa: A General Framework for Scalable Locality Sensitive Hashing
  SIGIR 2017, In Proceedings of the 40th International ACM SIGIR conference on Research and Development in Information Retrieval
  [code], [slide]

• Fan Yang, Yuzhen Huang, Yunjian Zhao, Jinfeng Li, Guanxian Jiang, James Cheng
  The Best of Both Worlds: Big Data Programming with Both Productivity and Performance
  SIGMOD Demo 2017, In Proceedings of the 36th ACM SIGMOD International Conference on Management of Data

• Fan Yang, Fanhua Shang, Yuzhen Huang, James Cheng, Jinfeng Li, Yunjian Zhao, Ruihao Zhao
  LFTF: A Framework for Efficient Tensor Analytics at Scale
  PVLDB 2017, 43rd International Conference on Very Large Data Base

2016

• Fan Yang, Jinfeng Li, James Cheng
  Husky: Towards a More Efficient and Expressive Distributed Computing Framework
  PVLDB 2016, 42nd International Conference on Very Large Data Bases
  [homepage], [code]

• Jinfeng Li, James Cheng, Yunjian Zhao, Fan Yang, Yuzhen Huang, Haipeng Chen, Ruihao Zhao
  A comparison of general-purpose distributed systems for data processing
  IEEE BigData 2016, In Proceedings of the 2016 IEEE International Conference on Big Data
  [code]

• Huanhuan Wu, Yuzhen Huang, James Cheng, Jinfeng Li, Yiping Ke
  Reachability and time-based path queries in temporal graphs
  ICDE 2016, In Proceedings of the 32nd IEEE International Conference on Data Engineering,
  [code]

Intern Experience

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• 2017.7 - 2017.8      Senior Development Engineer, Alibaba Cloud, Alibaba Group
  

  I worked on BigGraph project, which builds an integrated platform for distributed graph storage and analysis. My supervisor was Zhenping Qian, now group manager of big-data infrastructure team in Alibaba.

• 2014.7 - 2014.8      Data Mining Engineer, Department of Data Science, Alibaba Group
  

  I worked on "catch your customers" project, which develops distributed solution for large-scale recomendations. My supervisor was Wanli Min, now principla data scientist in Alibaba.