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Zhanqiu Zhang

Alumnus


zhanqiuzhang@miralab.ai

Interests

  • Graph Learning
  • Natural Language Processing

Education

  • Ph.D., Electronic Engineering and Information Science (EEIS), 2023

    University of Science and Technology of China

  • B.S., Computational Mathematics, 2018

    University of Science and Technology of China

About me

I received my PhD degree from University of Science and Technology of China (USTC) in 2023. My advisor is Prof. Jie Wang, who leads the MIRA Lab. My research interests include graph learning and natural language processing. Currently, I am a senior algorithm engineer in Lightspeed & Quantum Studios, Tencent.

Awards

  • National Scholarship 2020, 2022

Experience

  • Intern at DiDi AI Labs, 2018/01 - 2018/07
  • Intern at Noah’s Ark Lab, Huawei Technologies, 2020/09 - 2021/01

Services

Program Committee Member

  • The 35th Conference on Neural Information Processing Systems (NeurIPS), 2021
  • The 38th International Conference on Machine Learning (ICML), 2021
  • The 27th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD), 2021
  • The 35th AAAI Conference on Artificial Intelligence (AAAI), 2021

Journal Reviewer

  • Neuralcomputing
  • Future Generation Computer Systems

Publications

Huarui He, Jie Wang, Zhanqiu Zhang, Feng Wu. Compressing Deep Graph Neural Networks via Adversarial Knowledge Distillation. KDD 2022.

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Jie Wang, Zhanqiu Zhang, Zhihao Shi, Jianyu Cai, Shuiwang Ji, Feng Wu. Duality-Induced Regularizer for Semantic Matching Knowledge Graph Embeddings. TPAMI.

Zhanqiu Zhang, Jie Wang, Jieping Ye, Feng Wu. Rethinking Graph Convolutional Networks in Knowledge Graph Completion. WWW 2022.

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Zhanqiu Zhang, Jie Wang, Jiajun Chen, Shuiwang Ji, Feng Wu. ConE: Cone Embeddings for Multi-Hop Reasoning over Knowledge Graphs. NeurIPS 2021.

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Jianyu Cai, Zhanqiu Zhang, Feng Wu, Jie Wang. Deep Cognitive Reasoning Network for Multi-hop Question Answering over Knowledge Graphs. Findings of ACL 2021.

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Zhanqiu Zhang, Jianyu Cai, Jie Wang. Duality-Induced Regularizer for Tensor Factorization Based Knowledge Graph Completion. NeurIPS 2020.

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Zhanqiu Zhang, Jianyu Cai, Yongdong Zhang, Jie Wang. Learning Hierarchy-Aware Knowledge Graph Embeddings for Link Prediction. AAAI 2020.

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Jie Wang, Zhanqiu Zhang, Jieping Ye. Two-Layer Feature Reduction for Sparse-Group Lasso via Decomposition of Convex Sets. JMLR.

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