- 1828. Estuardo Alpirez Bock, Yilei Chen, Gaven Watson. White-box Cryptography with Device Binding from Token-based Obfuscation and more.Shashank Agrawal. In submission https://eprint.iacr.org/2021/767.
- 1827. Li Yao, Yilei Chen, Yu Yu. Cryptanalysis of Candidate Obfuscators for Affine Determinant Programs. EUROCRYPT 2022.
- 1826. Cha, Hokeun, Xiangpeng Hao, Tianzheng Wang, Huanchen Zhang, Aditya Akella, and Xiangyao Yu. Blink-hash: An Adaptive Hybrid Index for In-Memory Time-Series Databases. To Appear in Proceedings of the VLDB Endowment 16. 2023.
- 1825. Yilei Chen, Qipeng Liu, Mark Zhandry. Quantum Algorithms for Variants of Average-Case Lattice Problems via Filtering. EUROCRYPT 2022.
- 1824. Chen, Zheng, Feng Zhang, Jiawei Guan, Jidong Zhai, Xipeng Shen, Huanchen Zhang, Wentong Shu, and Xiaoyong Du. CompressGraph: Efficient Parallel Graph Analytics with Rule-Based Compression. To Appear in Proceedings of the 2023 International Conference on Management of Data (SIGMOD). 2023.
- 1823. Wang, Ke, Guanqun Yang, Yiwei Li, Huanchen Zhang, and Mingyu Gao. When Tree Meets Hash: Reducing Random Reads for Index Structures on Persistent Memories. To Appear in Proceedings of the 2023 International Conference on Management of Data (SIGMOD). 2023.
- 1822. Knorr, Eric R., Baptiste Lemaire, Andrew Lim, Siqiang Luo, Huanchen Zhang, Stratos Idreos, and Michael Mitzenmacher. Proteus: A Self-Designing Range Filter. In Proceedings of the 2022 International Conference on Management of Data (SIGMOD) 2022..
- 1821. Kwangjun Ahn, Jingzhao Zhang, Suvrit Sra. Understanding the unstable convergence of gradient descent. ICML 2022.
- 1820. Jingzhao Zhang, Haochuan Li, Suvrit Sra, Ali Jadbabaie. Neural Network Weights Do Not Converge to Stationary Points: An Invariant Measure Perspective. ICML 2022.
- 1819. Anneser, Christoph, Andreas Kipf, Huanchen Zhang, Thomas Neumann, and Alfons Kemper. Adaptive Hybrid Indexes. In Proceedings of the 2022 International Conference on Management of Data (SIGMOD) 2022..
- 1818. Xiang Cheng, Jingzhao Zhang, Suvrit Sra. Efficient Sampling on Riemannian Manifolds via Langevin MCMC. Neurips 2022.
- 1817. Jingzhao Zhang, Hongzhou Lin, Subhro Das, Suvrit Sra, Ali Jadbabaie. Beyond Worst-Case Analysis in Stochastic Approximation: Moment Estimation Improves Instance Complexity. ICML 2022.
- 1816. Imbens, G., Kallus, N., Mao, X., & Wang, Y.. Long-Term Causal Inference under Persistent Confounding via Data Combination. arXiv preprint arXiv:2202.07234.
- 1815. Navarro, M., Wang, Y., Marques, A. G., Uhler, C., & Segarra, S.. Joint Inference of Multiple Graphs from Matrix Polynomials. Journal of Machine Learning Research, 23(76), 1-35.
- 1814. Carpentier, A., Collier, O., Comminges, L., Tsybakov, A. B., & Wang, Y.. Estimation of the ℓ2-norm and testing in sparse linear regression with unknown variance. Bernoulli, 28(4), 2744-2787.
- 1813. Wen, K., Wang, T., & Wang, Y.. Residual Permutation Test for High-Dimensional Regression Coefficient Testing. arXiv preprint arXiv:2211.16182.
- 1812. Kai Ye, Siyan Dong, Qingnan Fan, He Wang, Li Yi, Fei Xia, Jue Wang, Baoquan Chen. Multi-Robot Active Mapping via Neural Bipartite Graph Matching. CVPR 2022.
- 1811. Wang, Y., & Li, X.. Rerandomization with Diminishing Covariate Imbalance and Diverging Number of Covariates. The Annals of Satistics (to appear).
