I’m a quantitative researcher at Ubiquant, one of China’s leading private quant firms, managing over 55 billion RMB. Before my industrial career, I completed my PhD in Computer Science at Peking University, under the supervision of Prof. Ming Zhang in 2021. I worked with Prof. Jian Tang at Mila during Sept. 2018 - Sept. 2019.

Hiring

I’m actively looking for highly motivated and talented individuals to join our team as interns or full-time quantitative researchers. Candidates who have strong background in deep learning, NLP, CV or quantitative analysis can email me directly.

Research interests

  • Deep Learning, Data Mining
  • Quantitative models and algorithms

News

  1. May 2020. Our paper “TIMME: Twitter Idelogy-detection via Multi-task Multi-relational Embedding” was accepted by KDD’2020 with ORAL presentation.
  2. Aug. 2019. Our paper “AutoInt: Automatic Feature Interaction Learning via Self-Attentive Neural Networks” was accepted by CIKM’2019.
  3. Jul. 2019. A graph representation learning literature repository was released at MilaGraph.
  4. Mar. 2019. We release our codes and datasets on recommender systems at MilaGraph.
  5. Oct. 2018. Our paper “Session-based Social Recommendation via Dynamic Graph Attention Networks” was accepted by WSDM’2019.
  6. Spt. 2018. I began my internship at Mila, under the supervision of Prof. Jian Tang.
  7. Feb. 2018. Our team ranked 3rd out of 575 teams in WSDM Cup Challenge, 2018.

Publications

Services

  • Reviewer: Transactions on Knowledge and Data Engineering (TKDE)