[1] Distributed Penalizing Function Criterion for Local Polynomial Estimation in Nonparametric Regression. Statistical Papers, 2025.

[2] The Sparse Matrix-Based Random Projection: A Study of Binary and Ternary Quantization. Transactions on Machine Learning Research, 2025.

[3] Unified rules of renewable weighted sums for various online updating estimations. Journal of Statistical Computation and Simulation, 2025, 95(1): 1-24

[4] High-dimensional projection-based ANOVA test.Journal of Multivariate Analysis, 2025, 207: 105401.

[5] Representation Learning Based on Co-Evolutionary Combined With Probability Distribution Optimization for Precise Defect Location. IEEE Transactions on Neural Networks and Learning Systems, 2024.

[6] Collaborative Dictionary Learning for Compressed Sensing. IEEE Transactions on Industrial Informatics, 2024, 9610-9620.

[7] Matrix-variate generalized linear model with measurement error. Statistical Papers, 2024, 65(6): 3935-3958.

[8] Quantization: Is It Possible to Improve Classification?  Data Compression Conference, 2023

[9] Cascaded Compressed Sensing Networks. IEEE Signal Processing Letters, 2023, 30, 364-368.

[10] Deep learning to ternary hash codes by continuation.  Electronics Letters, 2021, 57(24): 925-926.

[11] Expander Recovery Performance of Bipartite Graphs with Girth Greater than 4. IEEE Transactions on Signal and Information Processing over Networks, 5 (2019), 418-427.

[12] A new minimum contrast approach for inference in single-index model. Journal of Multivariate Analysis, 158 (2017), 47-56.

[13] A dimension reduction approach for conditional Kaplan-Meier estimators. TEST, 27 (2018), 295-315.

[14] Compressed sensing performance of random Bernoulli matrices with high compression ratio. IEEE Signal Processing Letters, 22 (2015), 1074-1078.

[1] Distributed Penalizing Function Criterion for Local Polynomial Estimation in Nonparametric Regression. Statistical Papers, 2025.

[2] The Sparse Matrix-Based Random Projection: A Study of Binary and Ternary Quantization. Transactions on Machine Learning Research, 2025.

[3] Unified rules of renewable weighted sums for various online updating estimations. Journal of Statistical Computation and Simulation, 2025, 95(1): 1-24

[4] High-dimensional projection-based ANOVA test.Journal of Multivariate Analysis, 2025, 207: 105401.

[5] Representation Learning Based on Co-Evolutionary Combined With Probability Distribution Optimization for Precise Defect Location. IEEE Transactions on Neural Networks and Learning Systems, 2024.

[6] Collaborative Dictionary Learning for Compressed Sensing. IEEE Transactions on Industrial Informatics, 2024, 9610-9620.

[7] Matrix-variate generalized linear model with measurement error. Statistical Papers, 2024, 65(6): 3935-3958.

[8] Quantization: Is It Possible to Improve Classification?  Data Compression Conference, 2023

[9] Cascaded Compressed Sensing Networks. IEEE Signal Processing Letters, 2023, 30, 364-368.

[10] Deep learning to ternary hash codes by continuation.  Electronics Letters, 2021, 57(24): 925-926.

[11] Expander Recovery Performance of Bipartite Graphs with Girth Greater than 4. IEEE Transactions on Signal and Information Processing over Networks, 5 (2019), 418-427.

[12] A new minimum contrast approach for inference in single-index model. Journal of Multivariate Analysis, 158 (2017), 47-56.

[13] A dimension reduction approach for conditional Kaplan-Meier estimators. TEST, 27 (2018), 295-315.

[14] Compressed sensing performance of random Bernoulli matrices with high compression ratio. IEEE Signal Processing Letters, 22 (2015), 1074-1078.

[1] Distributed Penalizing Function Criterion for Local Polynomial Estimation in Nonparametric Regression. Statistical Papers, 2025.

[2] The Sparse Matrix-Based Random Projection: A Study of Binary and Ternary Quantization. Transactions on Machine Learning Research, 2025.

[3] Unified rules of renewable weighted sums for various online updating estimations. Journal of Statistical Computation and Simulation, 2025, 95(1): 1-24

[4] High-dimensional projection-based ANOVA test.Journal of Multivariate Analysis, 2025, 207: 105401.

[5] Representation Learning Based on Co-Evolutionary Combined With Probability Distribution Optimization for Precise Defect Location. IEEE Transactions on Neural Networks and Learning Systems, 2024.

[6] Collaborative Dictionary Learning for Compressed Sensing. IEEE Transactions on Industrial Informatics, 2024, 9610-9620.

[7] Matrix-variate generalized linear model with measurement error. Statistical Papers, 2024, 65(6): 3935-3958.

[8] Quantization: Is It Possible to Improve Classification?  Data Compression Conference, 2023

[9] Cascaded Compressed Sensing Networks. IEEE Signal Processing Letters, 2023, 30, 364-368.

[10] Deep learning to ternary hash codes by continuation.  Electronics Letters, 2021, 57(24): 925-926.

[11] Expander Recovery Performance of Bipartite Graphs with Girth Greater than 4. IEEE Transactions on Signal and Information Processing over Networks, 5 (2019), 418-427.

[12] A new minimum contrast approach for inference in single-index model. Journal of Multivariate Analysis, 158 (2017), 47-56.

[13] A dimension reduction approach for conditional Kaplan-Meier estimators. TEST, 27 (2018), 295-315.

[14] Compressed sensing performance of random Bernoulli matrices with high compression ratio. IEEE Signal Processing Letters, 22 (2015), 1074-1078.