Hamiltonian Streamline Guided Feature Extraction with Applications to Face Detection - Yingjie Miao; Jason J. Corso (CoRR, 2011)

Hamiltonian streamline-guided features. - Yingjie Miao; Jason J. Corso (Neurocomputing, 2013)

A Method of Constructing Measurement Matrix for Compressed Sensing by Chebyshev Chaotic Sequence. - Renjie Yi; Chen Cui; Yingjie Miao; Biao Wu 005 (Entropy, 2020)

Evolving Reinforcement Learning Algorithms. - John D. Co-Reyes; Yingjie Miao; Daiyi Peng; Esteban Real; Quoc V. Le; Sergey Levine; Honglak Lee; Aleksandra Faust (ICLR, 2021)

Environment Generation for Zero-Shot Compositional Reinforcement Learning. - Izzeddin Gur; Natasha Jaques; Yingjie Miao; Jongwook Choi; Manoj Tiwari; Honglak Lee; Aleksandra Faust (NeurIPS, 2021)

RL-DARTS: Differentiable Architecture Search for Reinforcement Learning. - Yingjie Miao; Xingyou Song; Daiyi Peng; Summer Yue; Eugene Brevdo; Aleksandra Faust (CoRR, 2021)

Efficient Multipath Clutter Cancellation for UAV Monitoring Using DAB Satellite-Based PBR. - Yingjie Miao; Jingchun Li; Yao Bao; Feifeng Liu; Cheng Hu 001 (Remote. Sens., 2021)

Joint Estimation of Target Parameters and System Deviations in MIMO Radar With Widely Separated Antennas on Moving Platforms. - Jiaxin Lu 002; Feifeng Liu; Jingyi Sun; Quanhua Liu 002; Yingjie Miao (IEEE Trans. Aerosp. Electron. Syst., 2021)

Differentiable Architecture Search for Reinforcement Learning. - Yingjie Miao; Xingyou Song; John D. Co-Reyes; Daiyi Peng; Summer Yue; Eugene Brevdo; Aleksandra Faust (AutoML, 2022)

Research on Coherent Synthesis Based on Distributed Radar System. - Hao Li; Hongjie Liu; Yingjie Miao; Feifeng Liu (ICSPCC, 2022)

Multi-objective evolution for Generalizable Policy Gradient Algorithms. - Juan Jose Garau Luis; Yingjie Miao; John D. Co-Reyes; Aaron Parisi; Jie Tan 001; Esteban Real; Aleksandra Faust (CoRR, 2022)

Automated Reinforcement Learning (AutoRL): A Survey and Open Problems. - Jack Parker-Holder; Raghu Rajan; Xingyou Song; André Biedenkapp; Yingjie Miao; Theresa Eimer; Baohe Zhang; Vu Nguyen; Roberto Calandra; Aleksandra Faust; Frank Hutter; Marius Lindauer (J. Artif. Intell. Res., 2022)

Multi-Target Localization of MIMO Radar with Widely Separated Antennas on Moving Platforms Based on Expectation Maximization Algorithm. - Jiaxin Lu 002; Feifeng Liu; Jingyi Sun; Yingjie Miao; Quanhua Liu 002 (Remote. Sens., 2022)

High-Efficiency Optimization Algorithm of PMEPR for OFDM Integrated Radar and Communication Waveform Based on Conjugate Gradient. - Juan Rong; Feifeng Liu; Yingjie Miao (Remote. Sens., 2022)

Integrated Radar and Communications Waveform Design Based on Multi-Symbol OFDM. - Juan Rong; Feifeng Liu; Yingjie Miao (Remote. Sens., 2022)

Clutter Jamming Suppression for Airborne Distributed Coherent Aperture Radar Based on Prior Clutter Subspace Projection. - Yingjie Miao; Feifeng Liu; Hongjie Liu; Hao Li (Remote. Sens., 2022)

Understanding HTML with Large Language Models. - Izzeddin Gur; Ofir Nachum; Yingjie Miao; Mustafa Safdari; Austin V. Huang; Aakanksha Chowdhery; Sharan Narang; Noah Fiedel; Aleksandra Faust (EMNLP (Findings), 2023)

Unified Functional Hashing in Automatic Machine Learning. - Ryan Gillard; Stephen Jonany; Yingjie Miao; Michael Munn; Connal de Souza; Jonathan Dungay; Chen Liang; David R. So; Quoc V. Le; Esteban Real (CoRR, 2023)

Guided Evolution with Binary Discriminators for ML Program Search. - John D. Co-Reyes; Yingjie Miao; George Tucker; Aleksandra Faust; Esteban Real (CoRR, 2024)

Predicting from Strings: Language Model Embeddings for Bayesian Optimization. - Tung Nguyen; Qiuyi Zhang 001; Bangding Yang; Chansoo Lee; Jörg Bornschein; Yingjie Miao; Sagi Perel; Yutian Chen 001; Xingyou Song (CoRR, 2024)

Direct position determination of multiple sources using a moving virtual interpolation array. - Zhaobo Wang; Hui Guo; Yingjie Miao; Jun Zhang (Digit. Signal Process., 2025)