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2020 – today
- 2024
[j16]Jianting An
, Jing Wang, Siming Kong, Shi Song, Wei Chen, Peng Yuan, Qilong He, Yidong Chen, Ye Li, Yi Yang, Wei Wang, Rong Li, Liying Yan, Zhiqiang Yan, Jie Qiao:
GametesOmics: A Comprehensive Multi-omics Database for Exploring the Gametogenesis in Humans and Mice. Genom. Proteom. Bioinform. 22(1) (2024)- [j15]Ruichu Cai, Siyu Wu, Jie Qiao, Zhifeng Hao, Keli Zhang, Xi Zhang:
THPs: Topological Hawkes Processes for Learning Causal Structure on Event Sequences. IEEE Trans. Neural Networks Learn. Syst. 35(1): 479-493 (2024) - [c17]Ruichu Cai, Yuxuan Zhu, Jie Qiao, Zefeng Liang, Furui Liu, Zhifeng Hao:
Where and How to Attack? A Causality-Inspired Recipe for Generating Counterfactual Adversarial Examples. AAAI 2024: 11132-11140 - [c16]Yuequn Liu, Ruichu Cai, Wei Chen, Jie Qiao, Yuguang Yan, Zijian Li, Keli Zhang, Zhifeng Hao:
TNPAR: Topological Neural Poisson Auto-Regressive Model for Learning Granger Causal Structure from Event Sequences. AAAI 2024: 20491-20499 - [c15]Jie Qiao, Zhengming Chen, Jianhua Yu, Ruichu Cai, Zhifeng Hao:
Identification of Causal Structure in the Presence of Missing Data with Additive Noise Model. AAAI 2024: 20516-20523 - [c14]Jie Qiao, Yu Xiang, Zhengming Chen, Ruichu Cai, Zhifeng Hao:
Causal Discovery from Poisson Branching Structural Causal Model Using High-Order Cumulant with Path Analysis. AAAI 2024: 20524-20531 - [c13]Weilin Chen, Ruichu Cai, Zeqin Yang, Jie Qiao, Yuguang Yan, Zijian Li, Zhifeng Hao:
Doubly Robust Causal Effect Estimation under Networked Interference via Targeted Learning. ICML 2024 - [i16]Ruichu Cai, Siyang Huang, Jie Qiao, Wei Chen, Yan Zeng, Keli Zhang, Fuchun Sun, Yang Yu, Zhifeng Hao:
Learning by Doing: An Online Causal Reinforcement Learning Framework with Causal-Aware Policy. CoRR abs/2402.04869 (2024) - [i15]Jie Qiao, Yu Xiang, Zhengming Chen, Ruichu Cai, Zhifeng Hao:
Causal Discovery from Poisson Branching Structural Causal Model Using High-Order Cumulant with Path Analysis. CoRR abs/2403.16523 (2024) - [i14]Weilin Chen, Ruichu Cai, Zeqin Yang, Jie Qiao, Yuguang Yan, Zijian Li, Zhifeng Hao:
Doubly Robust Causal Effect Estimation under Networked Interference via Targeted Learning. CoRR abs/2405.03342 (2024) - [i13]Zhengming Chen, Ruichu Cai, Feng Xie, Jie Qiao, Anpeng Wu, Zijian Li, Zhifeng Hao, Kun Zhang:
Learning Discrete Latent Variable Structures with Tensor Rank Conditions. CoRR abs/2406.07020 (2024) - 2023
- [j14]Ruichu Cai, Liting Huang, Wei Chen, Jie Qiao, Zhifeng Hao:
Learning dynamic causal mechanisms from non-stationary data. Appl. Intell. 53(5): 5437-5448 (2023) - [c12]Zhengming Chen, Feng Xie, Jie Qiao, Zhifeng Hao, Ruichu Cai:
Some General Identification Results for Linear Latent Hierarchical Causal Structure. IJCAI 2023: 3568-3576 - [c11]Jie Qiao, Ruichu Cai, Siyu Wu, Yu Xiang, Keli Zhang, Zhifeng Hao:
Structural Hawkes Processes for Learning Causal Structure from Discrete-Time Event Sequences. IJCAI 2023: 5702-5710 - [i12]Jie Qiao, Ruichu Cai, Siyu Wu, Yu Xiang, Keli Zhang, Zhifeng Hao:
Structural Hawkes Processes for Learning Causal Structure from Discrete-Time Event Sequences. CoRR abs/2305.05986 (2023) - [i11]Ruichu Cai, Yuequn Liu, Wei Chen, Jie Qiao, Yuguang Yan, Zijian Li, Keli Zhang, Zhifeng Hao:
TNPAR: Topological Neural Poisson Auto-Regressive Model for Learning Granger Causal Structure from Event Sequences. CoRR abs/2306.14114 (2023) - [i10]Jie Qiao, Zhengming Chen, Jianhua Yu, Ruichu Cai, Zhifeng Hao:
Identification of Causal Structure in the Presence of Missing Data with Additive Noise Model. CoRR abs/2312.12206 (2023) - [i9]Ruichu Cai, Yuxuan Zhu, Jie Qiao, Zefeng Liang, Furui Liu, Zhifeng Hao:
Where and How to Attack? A Causality-Inspired Recipe for Generating Counterfactual Adversarial Examples. CoRR abs/2312.13628 (2023) - 2022
- [j13]Rui Wang, Xixi Liu, Li Li, Ming Yang, Jun Yong, Fan Zhai, Lu Wen, Liying Yan, Jie Qiao, Fuchou Tang:
Dissecting Human Gonadal Cell Lineage Specification and Sex Determination Using A Single-cell RNA-seq Approach. Genom. Proteom. Bioinform. 20(2): 223-245 (2022) - [j12]Xiaolu Zhao, Leisheng Shi, Shasha Ruan, Wenjian Bi, Yifan Chen, Lin Chen, Yifan Liu, MingKun Li, Jie Qiao, Fengbiao Mao:
CircleBase: an integrated resource and analysis platform for human eccDNAs. Nucleic Acids Res. 50(D1): 72-82 (2022) - [j11]Jie Qiao, Yiming Bai, Ruichu Cai, Zhifeng Hao:
Causal discovery from multi-domain data using the independence of modularities. Neural Comput. Appl. 34(3): 1939-1949 (2022) - [c10]Zhengming Chen, Feng Xie, Jie Qiao, Zhifeng Hao, Kun Zhang, Ruichu Cai:
Identification of Linear Latent Variable Model with Arbitrary Distribution. AAAI 2022: 6350-6357 - [c9]Yuequn Liu, Wenhui Zhu, Jie Qiao, Zhiyi Huang, Yu Xiang, Xuanzhi Chen, Wei Chen, Ruichu Cai:
Causal Alignment Based Fault Root Causes Localization for Wireless Network. ICASSP 2022: 9311-9315 - [i8]Ruichu Cai, Fengzhu Wu, Zijian Li, Jie Qiao, Wei Chen, Yuexing Hao, Hao Gu:
REST: Debiased Social Recommendation via Reconstructing Exposure Strategies. CoRR abs/2201.04952 (2022) - [i7]Ruichu Cai, Yuxuan Zhu, Xuexin Chen, Yuan Fang, Min Wu, Jie Qiao, Zhifeng Hao:
On the Probability of Necessity and Sufficiency of Explaining Graph Neural Networks: A Lower Bound Optimization Approach. CoRR abs/2212.07056 (2022) - 2021
- [j10]Zhiqiang Yan, Jianting An, Yong Peng, Siming Kong, Qiang Liu, Ming Yang, Qilong He, Shi Song, Yidong Chen, Wei Chen, Rong Li, Jie Qiao, Liying Yan:
DevOmics: an integrated multi-omics database of human and mouse early embryo. Briefings Bioinform. 22(6) (2021) - [j9]Jie Qiao, Quanlin Jie:
Density matrix embedding theory of excited states for spin systems. Comput. Phys. Commun. 261: 107712 (2021) - [j8]Jie Qiao, Yiming Bai, Ruichu Cai, Zhifeng Hao:
Learning causal structures using hidden compact representation. Neurocomputing 463: 328-333 (2021) - [j7]Jie Qiao, Ruichu Cai, Kun Zhang, Zhenjie Zhang, Zhifeng Hao:
Causal Discovery with Confounding Cascade Nonlinear Additive Noise Models. ACM Trans. Intell. Syst. Technol. 12(6): 80:1-80:28 (2021) - [c8]Jie Qiao, Yiting Duan, Yichi Zhang:
The Emotion of Texture Under Different Senses. DSIE 2021: 198-207 - [i6]Ruichu Cai, Siyu Wu, Jie Qiao, Zhifeng Hao, Keli Zhang, Xi Zhang:
THP: Topological Hawkes Processes for Learning Granger Causality on Event Sequences. CoRR abs/2105.10884 (2021) - [i5]Ruichu Cai, Weilin Chen, Jie Qiao, Zhifeng Hao:
On the Role of Entropy-based Loss for Learning Causal Structures with Continuous Optimization. CoRR abs/2106.02835 (2021) - 2020
- [j6]Jie Qiao, Fengxiang Xu, Kunying Wu, Suo Zhang, Yongtao Liu:
Multi-Objective Topological Optimization of an Electric Truck Frame Based on Orthogonal Design and Analytic Hierarchy Process. IEEE Access 8: 140923-140935 (2020) - [j5]Zhiqiang Yan, Xiaohui Zhu, Yuqian Wang, Yanli Nie, Shuo Guan, Ying Kuo, Di Chang, Rong Li, Jie Qiao, Liying Yan:
scHaplotyper: haplotype construction and visualization for genetic diagnosis using single cell DNA sequencing data. BMC Bioinform. 21(1): 41 (2020) - [j4]Ruichu Cai, Jincheng Ye, Jie Qiao, Huiyuan Fu, Zhifeng Hao:
FOM: Fourth-order moment based causal direction identification on the heteroscedastic data. Neural Networks 124: 193-201 (2020) - [j3]Li Xiao, Chunlong Luo, Tianqi Yu, Yufan Luo, Manqing Wang, Fuhai Yu, Yinhao Li, Chan Tian, Jie Qiao:
DeepACEv2: Automated Chromosome Enumeration in Metaphase Cell Images Using Deep Convolutional Neural Networks. IEEE Trans. Medical Imaging 39(12): 3920-3932 (2020) - [i4]Ruichu Cai, Zijian Li, Pengfei Wei, Jie Qiao, Kun Zhang, Zhifeng Hao:
Learning Disentangled Semantic Representation for Domain Adaptation. CoRR abs/2012.11807 (2020)
2010 – 2019
- 2019
- [c7]Ruichu Cai, Jie Qiao, Kun Zhang, Zhenjie Zhang, Zhifeng Hao:
Causal Discovery with Cascade Nonlinear Additive Noise Model. IJCAI 2019: 1609-1615 - [c6]Ruichu Cai, Zijian Li, Pengfei Wei, Jie Qiao, Kun Zhang, Zhifeng Hao:
Learning Disentangled Semantic Representation for Domain Adaptation. IJCAI 2019: 2060-2066 - [c5]Li Xiao, Chunlong Luo, Yufan Luo, Tianqi Yu, Chan Tian, Jie Qiao, Yi Zhao:
DeepACE: Automated Chromosome Enumeration in Metaphase Cell Images Using Deep Convolutional Neural Networks. MICCAI (1) 2019: 595-603 - [i3]Ruichu Cai, Jie Qiao, Kun Zhang, Zhenjie Zhang, Zhifeng Hao:
Causal Discovery with Cascade Nonlinear Additive Noise Models. CoRR abs/1905.09442 (2019) - [i2]Li Xiao, Chunlong Luo, Yufan Luo, Tianqi Yu, Chan Tian, Jie Qiao, Yi Zhao:
DeepACE: Automated Chromosome Enumeration in Metaphase Cell Images Using Deep Convolutional Neural Networks. CoRR abs/1910.11091 (2019) - [i1]Jie Qiao, Zijian Li, Boyan Xu, Ruichu Cai, Kun Zhang:
Disentanglement Challenge: From Regularization to Reconstruction. CoRR abs/1912.00155 (2019) - 2018
- [j2]Suijuan Zhong, Shu Zhang, Xiaoying Fan, Qian Wu, Liying Yan, Ji Dong, Haofeng Zhang, Long Li, Le Sun, Na Pan, Xiaohui Xu, Fuchou Tang, Jun Zhang, Jie Qiao, Xiaoqun Wang:
A single-cell RNA-seq survey of the developmental landscape of the human prefrontal cortex. Nat. 555(7697): 524-528 (2018) - [c4]Ruichu Cai, Jie Qiao, Zhenjie Zhang, Zhifeng Hao:
SELF: Structural Equational Likelihood Framework for Causal Discovery. AAAI 2018: 1787-1794 - [c3]Ruichu Cai, Jie Qiao, Kun Zhang, Zhenjie Zhang, Zhifeng Hao:
Causal Discovery from Discrete Data using Hidden Compact Representation. NeurIPS 2018: 2671-2679 - 2013
- [c2]Qianjin Zhao, Jie Qiao:
Bivariate Barycentric Rational Hermite Interpolaiton Based on the Lebesgue Constant Minimizing. BIC-TA 2013: 123-130 - 2010
- [j1]Qingyun Wang, Li Zhao, Jie Qiao, Cairong Zou:
Acoustic feedback cancellation based on weighted adaptive projection subgradient method in hearing aids. Signal Process. 90(1): 69-79 (2010)
2000 – 2009
- 2008
- [c1]Qingyun Wang, Li Zhao, Jie Qiao, Cairong Zou:
A new method of multichannel loudness compensation for hearing aids. APCCAS 2008: 493-496
Coauthor Index
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