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Zhanqiu Zhang

Alumnus


zhanqiuzhang@miralab.ai

Interests

  • Graph Learning
  • Natural Language Processing

Education

  • B.S., Computational Mathematics, 2018

    University of Science and Technology of China

About me

I am currently a Ph.D. candidate in USTC. My advisor is Prof. Jie Wang, who leads the MIRA Lab. My research interests include graph learning and natural language processing.

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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