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  • 1892. Yunfei Li, Tian Gao, Jiaqi Yang, Huazhe Xu, Yi Wu. Phasic Self-Imitative Reduction for Sparse-Reward Goal-Conditioned Reinforcement Learning. International Conference on Machine Learning (ICML 2022).  
  • 1891. Shusheng Xu, Xingxing Zhang, Yi Wu, Furu Wei. Sequence Level Contrastive Learning for Text Summarization. Thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI 2022).  
  • 1890. Li, Yunfei; Kong, Tao; Li, Lei; Wu, Yi. Learning Design and Construction with Varying-Sized Materials via Prioritized Memory Resets. Proceedings - IEEE International Conference on Robotics and Automation(ICRA 2022).  
  • 1889. Zihan Zhou, Wei Fu, Bingliang Zhang, Yi Wu. Continuously Discovering Novel Strategies via Reward-Switching Policy Optimization. International Conference on Learning Representations (ICLR 2022).  
  • 1888. 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.  
  • 1887. Li Yao, Yilei Chen, Yu Yu. Cryptanalysis of Candidate Obfuscators for Affine Determinant Programs. EUROCRYPT 2022.  
  • 1886. 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.  
  • 1885. Yilei Chen, Qipeng Liu, Mark Zhandry. Quantum Algorithms for Variants of Average-Case Lattice Problems via Filtering. EUROCRYPT 2022.  
  • 1884. 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.  
  • 1883. 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.  
  • 1882. 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..  
  • 1881. Kwangjun Ahn, Jingzhao Zhang, Suvrit Sra. Understanding the unstable convergence of gradient descent. ICML 2022.  
  • 1880. Jingzhao Zhang, Haochuan Li, Suvrit Sra, Ali Jadbabaie. Neural Network Weights Do Not Converge to Stationary Points: An Invariant Measure Perspective. ICML 2022.  
  • 1879. 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..  
  • 1878. Xiang Cheng, Jingzhao Zhang, Suvrit Sra. Efficient Sampling on Riemannian Manifolds via Langevin MCMC. Neurips 2022.  
  • 1877. Jingzhao Zhang, Hongzhou Lin, Subhro Das, Suvrit Sra, Ali Jadbabaie. Beyond Worst-Case Analysis in Stochastic Approximation: Moment Estimation Improves Instance Complexity. ICML 2022.  
  • 1876. Imbens, G., Kallus, N., Mao, X., & Wang, Y.. Long-Term Causal Inference under Persistent Confounding via Data Combination.  arXiv preprint arXiv:2202.07234.  
  • 1875. 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.