Jie Qiao

60 papers A* 15B 1Misc 1Journal 39Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
An identifiable cost-aware causal decision-making framework using counterfactual reasoning.
Neural Networks
Ruichu Cai, Xi Chen, Jie Qiao, Zijian Li, Yuequn Liu, Wei Chen, Keli Zhang, Jiale Zheng
2026 J jnl
Learning by doing: an online causal reinforcement learning framework with causal-aware policy.
Sci. China Inf. Sci.
Ruichu Cai, Siyang Huang, Jie Qiao, Wei Chen, Yan Zeng, Keli Zhang, Fuchun Sun, Yang Yu, Zhifeng Hao
2025 J jnl
An Identifiable Cost-Aware Causal Decision-Making Framework Using Counterfactual Reasoning.
CoRR
Ruichu Cai, Xi Chen, Jie Qiao, Zijian Li, Yuequn Liu, Wei Chen, Keli Zhang, Jiale Zheng
2025 J jnl
Causal Effect Estimation under Networked Interference without Networked Unconfoundedness Assumption.
CoRR
Wei Chen, Ruichu Cai, Jie Qiao, Yuguang Yan, José Miguel Hernández-Lobato
2025 A* conf
Identification of Latent Confounders via Investigating the Tensor Ranks of the Nonlinear Observations.
ICML
Zhengming Chen, Yewei Xia, Feng Xie, Jie Qiao, Zhifeng Hao, Ruichu Cai, Kun Zhang
2025 B conf
Mitigating Q-Value Overestimation through Latent Causal Modeling in Deep Reinforcement Learning.
IJCNN
Ruichu Cai, Fuyi Lin, Wei Chen, Jie Qiao, Haipeng Zhu, Zhifeng Hao
2025 J jnl
On the Role of Entropy-Based Loss for Learning Causal Structure With Continuous Optimization.
IEEE Trans. Neural Networks Learn. Syst.
Weilin Chen, Jie Qiao, Ruichu Cai, Zhifeng Hao
2025 J jnl
On the probability of necessity and sufficiency of explaining Graph Neural Networks: A lower bound optimization approach.
Neural Networks
Ruichu Cai, Yuxuan Zhu, Xuexin Chen, Yuan Fang, Min Wu, Jie Qiao, Zhifeng Hao
2025 J jnl
Testing Conditional Independence Between Latent Variables by Independence Residuals.
IEEE Trans. Neural Networks Learn. Syst.
Zhengming Chen, Jie Qiao, Feng Xie, Ruichu Cai, Zhifeng Hao, Keli Zhang
2024 A* conf
Causal Discovery from Poisson Branching Structural Causal Model Using High-Order Cumulant with Path Analysis.
AAAI
Jie Qiao, Yu Xiang, Zhengming Chen, Ruichu Cai, Zhifeng Hao
2024 J jnl
Causal Discovery from Poisson Branching Structural Causal Model Using High-Order Cumulant with Path Analysis.
CoRR
Jie Qiao, Yu Xiang, Zhengming Chen, Ruichu Cai, Zhifeng Hao
2024 A* conf
Doubly Robust Causal Effect Estimation under Networked Interference via Targeted Learning.
ICML
Weilin Chen, Ruichu Cai, Zeqin Yang, Jie Qiao, Yuguang Yan, Zijian Li, Zhifeng Hao
2024 J jnl
Doubly Robust Causal Effect Estimation under Networked Interference via Targeted Learning.
CoRR
Weilin Chen, Ruichu Cai, Zeqin Yang, Jie Qiao, Yuguang Yan, Zijian Li, Zhifeng Hao
2024 J jnl
GametesOmics: A Comprehensive Multi-omics Database for Exploring the Gametogenesis in Humans and Mice.
Genom. Proteom. Bioinform.
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
2024 A* conf
Identification of Causal Structure in the Presence of Missing Data with Additive Noise Model.
AAAI
Jie Qiao, Zhengming Chen, Jianhua Yu, Ruichu Cai, Zhifeng Hao
2024 A* conf
Learning Discrete Latent Variable Structures with Tensor Rank Conditions.
NeurIPS
Zhengming Chen, Ruichu Cai, Feng Xie, Jie Qiao, Anpeng Wu, Zijian Li, Zhifeng Hao, Kun Zhang
2024 J jnl
Learning Discrete Latent Variable Structures with Tensor Rank Conditions.
CoRR
Zhengming Chen, Ruichu Cai, Feng Xie, Jie Qiao, Anpeng Wu, Zijian Li, Zhifeng Hao, Kun Zhang
2024 J jnl
Learning by Doing: An Online Causal Reinforcement Learning Framework with Causal-Aware Policy.
CoRR
Ruichu Cai, Siyang Huang, Jie Qiao, Wei Chen, Yan Zeng, Keli Zhang, Fuchun Sun, Yang Yu, Zhifeng Hao
2024 A* conf
On the Identifiability of Poisson Branching Structural Causal Model Using Probability Generating Function.
NeurIPS
Yu Xiang, Jie Qiao, Zefeng Liang, Zihuai Zeng, Ruichu Cai, Zhifeng Hao
2024 J jnl
THPs: Topological Hawkes Processes for Learning Causal Structure on Event Sequences.
IEEE Trans. Neural Networks Learn. Syst.
Ruichu Cai, Siyu Wu, Jie Qiao, Zhifeng Hao, Keli Zhang, Xi Zhang
2024 A* conf
TNPAR: Topological Neural Poisson Auto-Regressive Model for Learning Granger Causal Structure from Event Sequences.
AAAI
Yuequn Liu, Ruichu Cai, Wei Chen, Jie Qiao, Yuguang Yan, Zijian Li, Keli Zhang, Zhifeng Hao
2024 A* conf
Where and How to Attack? A Causality-Inspired Recipe for Generating Counterfactual Adversarial Examples.
AAAI
Ruichu Cai, Yuxuan Zhu, Jie Qiao, Zefeng Liang, Furui Liu, Zhifeng Hao
2023 J jnl
Identification of Causal Structure in the Presence of Missing Data with Additive Noise Model.
CoRR
Jie Qiao, Zhengming Chen, Jianhua Yu, Ruichu Cai, Zhifeng Hao
2023 J jnl
Learning dynamic causal mechanisms from non-stationary data.
Appl. Intell.
Ruichu Cai, Liting Huang, Wei Chen, Jie Qiao, Zhifeng Hao
2023 A* conf
Some General Identification Results for Linear Latent Hierarchical Causal Structure.
IJCAI
Zhengming Chen, Feng Xie, Jie Qiao, Zhifeng Hao, Ruichu Cai
2023 A* conf
Structural Hawkes Processes for Learning Causal Structure from Discrete-Time Event Sequences.
IJCAI
Jie Qiao, Ruichu Cai, Siyu Wu, Yu Xiang, Keli Zhang, Zhifeng Hao
2023 J jnl
Structural Hawkes Processes for Learning Causal Structure from Discrete-Time Event Sequences.
CoRR
Jie Qiao, Ruichu Cai, Siyu Wu, Yu Xiang, Keli Zhang, Zhifeng Hao
2023 J jnl
TNPAR: Topological Neural Poisson Auto-Regressive Model for Learning Granger Causal Structure from Event Sequences.
CoRR
Ruichu Cai, Yuequn Liu, Wei Chen, Jie Qiao, Yuguang Yan, Zijian Li, Keli Zhang, Zhifeng Hao
2023 J jnl
Where and How to Attack? A Causality-Inspired Recipe for Generating Counterfactual Adversarial Examples.
CoRR
Ruichu Cai, Yuxuan Zhu, Jie Qiao, Zefeng Liang, Furui Liu, Zhifeng Hao
2022 Misc conf
Causal Alignment Based Fault Root Causes Localization for Wireless Network.
ICASSP
Yuequn Liu, Wenhui Zhu, Jie Qiao, Zhiyi Huang, Yu Xiang, Xuanzhi Chen, Wei Chen, Ruichu Cai
2022 J jnl
Causal discovery from multi-domain data using the independence of modularities.
Neural Comput. Appl.
Jie Qiao, Yiming Bai, Ruichu Cai, Zhifeng Hao
2022 J jnl
CircleBase: an integrated resource and analysis platform for human eccDNAs.
Nucleic Acids Res.
Xiaolu Zhao, Leisheng Shi, Shasha Ruan, Wenjian Bi, Yifan Chen, Lin Chen, Yifan Liu, Mingkun Li, Jie Qiao, Fengbiao Mao
2022 J jnl
Dissecting Human Gonadal Cell Lineage Specification and Sex Determination Using A Single-cell RNA-seq Approach.
Genom. Proteom. Bioinform.
Rui Wang, Xixi Liu, Li Li, Ming Yang, Jun Yong, Fan Zhai, Lu Wen, Liying Yan, Jie Qiao, Fuchou Tang
2022 A* conf
Identification of Linear Latent Variable Model with Arbitrary Distribution.
AAAI
Zhengming Chen, Feng Xie, Jie Qiao, Zhifeng Hao, Kun Zhang, Ruichu Cai
2022 J jnl
On the Probability of Necessity and Sufficiency of Explaining Graph Neural Networks: A Lower Bound Optimization Approach.
CoRR
Ruichu Cai, Yuxuan Zhu, Xuexin Chen, Yuan Fang, Min Wu, Jie Qiao, Zhifeng Hao
2022 J jnl
REST: Debiased Social Recommendation via Reconstructing Exposure Strategies.
CoRR
Ruichu Cai, Fengzhu Wu, Zijian Li, Jie Qiao, Wei Chen, Yuexing Hao, Hao Gu
2021 J jnl
Causal Discovery with Confounding Cascade Nonlinear Additive Noise Models.
ACM Trans. Intell. Syst. Technol.
Jie Qiao, Ruichu Cai, Kun Zhang, Zhenjie Zhang, Zhifeng Hao
2021 J jnl
Density matrix embedding theory of excited states for spin systems.
Comput. Phys. Commun.
Jie Qiao, Quanlin Jie
2021 J jnl
DevOmics: an integrated multi-omics database of human and mouse early embryo.
Briefings Bioinform.
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
2021 J jnl
Learning causal structures using hidden compact representation.
Neurocomputing
Jie Qiao, Yiming Bai, Ruichu Cai, Zhifeng Hao
2021 J jnl
On the Role of Entropy-based Loss for Learning Causal Structures with Continuous Optimization.
CoRR
Ruichu Cai, Weilin Chen, Jie Qiao, Zhifeng Hao
2021 J jnl
THP: Topological Hawkes Processes for Learning Granger Causality on Event Sequences.
CoRR
Ruichu Cai, Siyu Wu, Jie Qiao, Zhifeng Hao, Keli Zhang, Xi Zhang
2021 — conf
The Emotion of Texture Under Different Senses.
DSIE
Jie Qiao, Yiting Duan, Yichi Zhang
2020 J jnl
DeepACEv2: Automated Chromosome Enumeration in Metaphase Cell Images Using Deep Convolutional Neural Networks.
IEEE Trans. Medical Imaging
Li Xiao, Chunlong Luo, Tianqi Yu, Yufan Luo, Manqing Wang, Fuhai Yu, Yinhao Li, Chan Tian, Jie Qiao
2020 J jnl
FOM: Fourth-order moment based causal direction identification on the heteroscedastic data.
Neural Networks
Ruichu Cai, Jincheng Ye, Jie Qiao, Huiyuan Fu, Zhifeng Hao
2020 J jnl
Learning Disentangled Semantic Representation for Domain Adaptation.
CoRR
Ruichu Cai, Zijian Li, Pengfei Wei, Jie Qiao, Kun Zhang, Zhifeng Hao
2020 J jnl
Multi-Objective Topological Optimization of an Electric Truck Frame Based on Orthogonal Design and Analytic Hierarchy Process.
IEEE Access
Jie Qiao, Fengxiang Xu, Kunying Wu, Suo Zhang, Yongtao Liu
2020 J jnl
scHaplotyper: haplotype construction and visualization for genetic diagnosis using single cell DNA sequencing data.
BMC Bioinform.
Zhiqiang Yan, Xiaohui Zhu, Yuqian Wang, Yanli Nie, Shuo Guan, Ying Kuo, Di Chang, Rong Li, Jie Qiao, Liying Yan
2019 A* conf
Causal Discovery with Cascade Nonlinear Additive Noise Model.
IJCAI
Ruichu Cai, Jie Qiao, Kun Zhang, Zhenjie Zhang, Zhifeng Hao
2019 J jnl
Causal Discovery with Cascade Nonlinear Additive Noise Models.
CoRR
Ruichu Cai, Jie Qiao, Kun Zhang, Zhenjie Zhang, Zhifeng Hao
2019 — conf
DeepACE: Automated Chromosome Enumeration in Metaphase Cell Images Using Deep Convolutional Neural Networks.
MICCAI (1)
Li Xiao, Chunlong Luo, Yufan Luo, Tianqi Yu, Chan Tian, Jie Qiao, Yi Zhao
2019 J jnl
DeepACE: Automated Chromosome Enumeration in Metaphase Cell Images Using Deep Convolutional Neural Networks.
CoRR
Li Xiao, Chunlong Luo, Yufan Luo, Tianqi Yu, Chan Tian, Jie Qiao, Yi Zhao
2019 J jnl
Disentanglement Challenge: From Regularization to Reconstruction.
CoRR
Jie Qiao, Zijian Li, Boyan Xu, Ruichu Cai, Kun Zhang
2019 A* conf
Learning Disentangled Semantic Representation for Domain Adaptation.
IJCAI
Ruichu Cai, Zijian Li, Pengfei Wei, Jie Qiao, Kun Zhang, Zhifeng Hao
2018 J jnl
A single-cell RNA-seq survey of the developmental landscape of the human prefrontal cortex.
Nat.
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
2018 A* conf
Causal Discovery from Discrete Data using Hidden Compact Representation.
NeurIPS
Ruichu Cai, Jie Qiao, Kun Zhang, Zhenjie Zhang, Zhifeng Hao
2018 A* conf
SELF: Structural Equational Likelihood Framework for Causal Discovery.
AAAI
Ruichu Cai, Jie Qiao, Zhenjie Zhang, Zhifeng Hao
2013 — conf
Bivariate Barycentric Rational Hermite Interpolaiton Based on the Lebesgue Constant Minimizing.
BIC-TA
Qianjin Zhao, Jie Qiao
2010 J jnl
Acoustic feedback cancellation based on weighted adaptive projection subgradient method in hearing aids.
Signal Process.
Qingyun Wang, Li Zhao, Jie Qiao, Cairong Zou
2008 — conf
A new method of multichannel loudness compensation for hearing aids.
APCCAS
Qingyun Wang, Li Zhao, Jie Qiao, Cairong Zou