A new method of multichannel loudness compensation for hearing aids. - Qingyun Wang 004; Li Zhao 003; Jie Qiao; Cairong Zou (APCCAS, 2008)

Acoustic feedback cancellation based on weighted adaptive projection subgradient method in hearing aids. - Qingyun Wang 004; Li Zhao 003; Jie Qiao; Cairong Zou (Signal Process., 2010)

Bivariate Barycentric Rational Hermite Interpolaiton Based on the Lebesgue Constant Minimizing. - Qianjin Zhao; Jie Qiao (BIC-TA, 2013)

SELF: Structural Equational Likelihood Framework for Causal Discovery. - Ruichu Cai; Jie Qiao; Zhenjie Zhang; Zhifeng Hao (AAAI, 2018)

Causal Discovery from Discrete Data using Hidden Compact Representation. - Ruichu Cai; Jie Qiao; Kun Zhang 001; Zhenjie Zhang; Zhifeng Hao (NeurIPS, 2018)

A single-cell RNA-seq survey of the developmental landscape of the human prefrontal cortex. - Suijuan Zhong; Shu Zhang 014; Xiaoying Fan; Qian Wu; Liying Yan; Ji Dong; Haofeng Zhang 003; Long Li; Le Sun; Na Pan; Xiaohui Xu; Fuchou Tang; et al. (Nat., 2018)

Learning Disentangled Semantic Representation for Domain Adaptation. - Ruichu Cai; Zijian Li 001; Pengfei Wei 001; Jie Qiao; Kun Zhang 001; Zhifeng Hao (IJCAI, 2019)

Causal Discovery with Cascade Nonlinear Additive Noise Model. - Ruichu Cai; Jie Qiao; Kun Zhang 001; Zhenjie Zhang; Zhifeng Hao (IJCAI, 2019)

DeepACE: Automated Chromosome Enumeration in Metaphase Cell Images Using Deep Convolutional Neural Networks. - Li Xiao 005; Chunlong Luo; Yufan Luo; Tianqi Yu; Chan Tian; Jie Qiao; Yi Zhao 013 (MICCAI (1), 2019)

Causal Discovery with Cascade Nonlinear Additive Noise Models. - Ruichu Cai; Jie Qiao; Kun Zhang 001; Zhenjie Zhang; Zhifeng Hao (CoRR, 2019)

Disentanglement Challenge: From Regularization to Reconstruction. - Jie Qiao; Zijian Li 001; Boyan Xu; Ruichu Cai; Kun Zhang 001 (CoRR, 2019)

Multi-Objective Topological Optimization of an Electric Truck Frame Based on Orthogonal Design and Analytic Hierarchy Process. - Jie Qiao; Fengxiang Xu; Kunying Wu; Suo Zhang; Yongtao Liu (IEEE Access, 2020)

scHaplotyper: haplotype construction and visualization for genetic diagnosis using single cell DNA sequencing data. - Zhiqiang Yan; Xiaohui Zhu; Yuqian Wang; Yanli Nie; Shuo Guan; Ying Kuo; Di Chang; Rong Li; Jie Qiao; Liying Yan (BMC Bioinform., 2020)

FOM: Fourth-order moment based causal direction identification on the heteroscedastic data. - Ruichu Cai; Jincheng Ye; Jie Qiao; Huiyuan Fu; Zhifeng Hao (Neural Networks, 2020)

DeepACEv2: Automated Chromosome Enumeration in Metaphase Cell Images Using Deep Convolutional Neural Networks. - Li Xiao 005; Chunlong Luo; Tianqi Yu; Yufan Luo; Manqing Wang; Fuhai Yu; Yinhao Li; Chan Tian; Jie Qiao (IEEE Trans. Medical Imaging, 2020)

The Emotion of Texture Under Different Senses. - Jie Qiao; Yiting Duan; Yichi Zhang (DSIE, 2021)

DevOmics: an integrated multi-omics database of human and mouse early embryo. - Zhiqiang Yan; Jianting An; Yong Peng; Siming Kong; Qiang Liu; Ming Yang; Qilong He; Shi Song; Yidong Chen 008; Wei Chen; Rong Li; Jie Qiao; et al. (Briefings Bioinform., 2021)

THP: Topological Hawkes Processes for Learning Granger Causality on Event Sequences. - Ruichu Cai; Siyu Wu; Jie Qiao; Zhifeng Hao; Keli Zhang; Xi Zhang (CoRR, 2021)

On the Role of Entropy-based Loss for Learning Causal Structures with Continuous Optimization. - Ruichu Cai; Weilin Chen 001; Jie Qiao; Zhifeng Hao (CoRR, 2021)

Density matrix embedding theory of excited states for spin systems. - Jie Qiao; Quanlin Jie (Comput. Phys. Commun., 2021)

Learning causal structures using hidden compact representation. - Jie Qiao; Yiming Bai; Ruichu Cai; Zhifeng Hao (Neurocomputing, 2021)

Causal Discovery with Confounding Cascade Nonlinear Additive Noise Models. - Jie Qiao; Ruichu Cai; Kun Zhang 001; Zhenjie Zhang; Zhifeng Hao (ACM Trans. Intell. Syst. Technol., 2021)

Identification of Linear Latent Variable Model with Arbitrary Distribution. - Zhengming Chen; Feng Xie 002; Jie Qiao; Zhifeng Hao; Kun Zhang 001; Ruichu Cai (AAAI, 2022)

Causal Alignment Based Fault Root Causes Localization for Wireless Network. - Yuequn Liu; Wenhui Zhu; Jie Qiao; Zhiyi Huang 008; Yu Xiang; Xuanzhi Chen; Wei Chen 103; Ruichu Cai (ICASSP, 2022)

REST: Debiased Social Recommendation via Reconstructing Exposure Strategies. - Ruichu Cai; Fengzhu Wu; Zijian Li 001; Jie Qiao; Wei Chen 103; Yuexing Hao; Hao Gu (CoRR, 2022)

Dissecting Human Gonadal Cell Lineage Specification and Sex Determination Using A Single-cell RNA-seq Approach. - Rui Wang; Xixi Liu 007; Li Li; Ming Yang; Jun Yong; Fan Zhai; Lu Wen; Liying Yan; Jie Qiao; Fuchou Tang (Genom. Proteom. Bioinform., 2022)

CircleBase: an integrated resource and analysis platform for human eccDNAs. - Xiaolu Zhao; Leisheng Shi; Shasha Ruan; Wenjian Bi; Yifan Chen; Lin Chen; Yifan Liu; MingKun Li; Jie Qiao; Fengbiao Mao (Nucleic Acids Res., 2022)

Causal discovery from multi-domain data using the independence of modularities. - Jie Qiao; Yiming Bai; Ruichu Cai; Zhifeng Hao (Neural Comput. Appl., 2022)

Some General Identification Results for Linear Latent Hierarchical Causal Structure. - Zhengming Chen; Feng Xie 002; Jie Qiao; Zhifeng Hao; Ruichu Cai (IJCAI, 2023)

Structural Hawkes Processes for Learning Causal Structure from Discrete-Time Event Sequences. - Jie Qiao; Ruichu Cai; Siyu Wu; Yu Xiang; Keli Zhang; Zhifeng Hao (IJCAI, 2023)

Learning dynamic causal mechanisms from non-stationary data. - Ruichu Cai; Liting Huang; Wei Chen 103; Jie Qiao; Zhifeng Hao (Appl. Intell., 2023)

Where and How to Attack? A Causality-Inspired Recipe for Generating Counterfactual Adversarial Examples. - Ruichu Cai; Yuxuan Zhu 001; Jie Qiao; Zefeng Liang; Furui Liu; Zhifeng Hao (AAAI, 2024)

TNPAR: Topological Neural Poisson Auto-Regressive Model for Learning Granger Causal Structure from Event Sequences. - Yuequn Liu; Ruichu Cai; Wei Chen 103; Jie Qiao; Yuguang Yan; Zijian Li 001; Keli Zhang; Zhifeng Hao (AAAI, 2024)

Identification of Causal Structure in the Presence of Missing Data with Additive Noise Model. - Jie Qiao; Zhengming Chen; Jianhua Yu; Ruichu Cai; Zhifeng Hao (AAAI, 2024)

Causal Discovery from Poisson Branching Structural Causal Model Using High-Order Cumulant with Path Analysis. - Jie Qiao; Yu Xiang; Zhengming Chen; Ruichu Cai; Zhifeng Hao (AAAI, 2024)

Doubly Robust Causal Effect Estimation under Networked Interference via Targeted Learning. - Weilin Chen 001; Ruichu Cai; Zeqin Yang; Jie Qiao; Yuguang Yan; Zijian Li 001; Zhifeng Hao (ICML, 2024)

Learning Discrete Latent Variable Structures with Tensor Rank Conditions. - Zhengming Chen; Ruichu Cai; Feng Xie 002; Jie Qiao; Anpeng Wu; Zijian Li 001; Zhifeng Hao; Kun Zhang 001 (NeurIPS, 2024)

On the Identifiability of Poisson Branching Structural Causal Model Using Probability Generating Function. - Yu Xiang; Jie Qiao; Zefeng Liang; Zihuai Zeng; Ruichu Cai; Zhifeng Hao (NeurIPS, 2024)

Learning by Doing: An Online Causal Reinforcement Learning Framework with Causal-Aware Policy. - Ruichu Cai; Siyang Huang; Jie Qiao; Wei Chen; Yan Zeng 002; Keli Zhang; Fuchun Sun 001; Yang Yu; Zhifeng Hao (CoRR, 2024)

GametesOmics: A Comprehensive Multi-omics Database for Exploring the Gametogenesis in Humans and Mice. - Jianting An; Jing Wang 161; Siming Kong; Shi Song; Wei Chen; Peng Yuan; Qilong He; Yidong Chen 008; Ye Li; Yi Yang; Wei Wang 459; Rong Li; et al. (Genom. Proteom. Bioinform., 2024)

THPs: Topological Hawkes Processes for Learning Causal Structure on Event Sequences. - Ruichu Cai; Siyu Wu; Jie Qiao; Zhifeng Hao; Keli Zhang; Xi Zhang (IEEE Trans. Neural Networks Learn. Syst., 2024)

On the probability of necessity and sufficiency of explaining Graph Neural Networks: A lower bound optimization approach. - Ruichu Cai; Yuxuan Zhu 001; Xuexin Chen; Yuan Fang 001; Min Wu 008; Jie Qiao; Zhifeng Hao (Neural Networks, 2025)

On the Role of Entropy-Based Loss for Learning Causal Structure With Continuous Optimization. - Weilin Chen 001; Jie Qiao; Ruichu Cai; Zhifeng Hao (IEEE Trans. Neural Networks Learn. Syst., 2025)

Causal Effect Estimation under Networked Interference without Networked Unconfoundedness Assumption. - Wei Chen 103; Ruichu Cai; Jie Qiao; Yuguang Yan; José Miguel Hernández-Lobato (CoRR, 2025)

Testing Conditional Independence Between Latent Variables by Independence Residuals. - Zhengming Chen; Jie Qiao; Feng Xie 002; Ruichu Cai; Zhifeng Hao; Keli Zhang (IEEE Trans. Neural Networks Learn. Syst., 2025)

An Identifiable Cost-Aware Causal Decision-Making Framework Using Counterfactual Reasoning. - Ruichu Cai; Xi Chen; Jie Qiao; Zijian Li; Yuequn Liu; Wei Chen; Keli Zhang; Jiale Zheng (CoRR, 2025)