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On the Role of Entropy-based Loss for Learning Causal Structures with Continuous Optimization

Jun 17, 2021
Ruichu Cai, Weilin Chen, Jie Qiao, Zhifeng Hao

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THP: Topological Hawkes Processes for Learning Granger Causality on Event Sequences

May 23, 2021
Ruichu Cai, Siyu Wu, Jie Qiao, Zhifeng Hao, Keli Zhang, Xi Zhang

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Learning Disentangled Semantic Representation for Domain Adaptation

Dec 22, 2020
Ruichu Cai, Zijian Li, Pengfei Wei, Jie Qiao, Kun Zhang, Zhifeng Hao

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DeepACC:Automate Chromosome Classification based on Metaphase Images using Deep Learning Framework Fused with Prior Knowledge

Jun 28, 2020
Chunlong Luo, Tianqi Yu, Yufan Luo, Manqing Wang, Fuhai Yu, Yinhao Li, Chan Tian, Jie Qiao, Li Xiao

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Disentanglement Challenge: From Regularization to Reconstruction

Nov 30, 2019
Jie Qiao, Zijian Li, Boyan Xu, Ruichu Cai, Kun Zhang

* NeurIPS2019 Disentanglement Challenge 

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DeepACE: Automated Chromosome Enumeration in Metaphase Cell Images Using Deep Convolutional Neural Networks

Oct 12, 2019
Li Xiao, Chunlong Luo, Yufan Luo, Tianqi Yu, Chan Tian, Jie Qiao, Yi Zhao

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Causal Discovery with Cascade Nonlinear Additive Noise Models

Jun 03, 2019
Ruichu Cai, Jie Qiao, Kun Zhang, Zhenjie Zhang, Zhifeng Hao

* Appears in the 28th International Joint Conference on Artificial Intelligence (IJCAI 2019) 

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