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ORCIDHanlin Zhu
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2020 – today
- 2024
[j6]Hanlin Zhu, Mengwei Wu, Bo Feng, Haifeng Zhang, Chunfeng Hu, Tong Zhang, Zhijiang Han:
Development and validation of a model predicting adrenal lipid-poor adenoma based on the minimum attenuation value from non-contrast CT: a dual-center retrospective study. BMC Medical Imaging 24(1): 210 (2024)- [c11]Hanlin Zhu, Baihe Huang, Stuart Russell:
On Representation Complexity of Model-based and Model-free Reinforcement Learning. ICLR 2024 - [i15]Hanlin Zhu, Banghua Zhu, Jiantao Jiao:
Efficient Prompt Caching via Embedding Similarity. CoRR abs/2402.01173 (2024) - [i14]Benjamin Plaut, Hanlin Zhu, Stuart Russell:
Avoiding Catastrophe in Continuous Spaces by Asking for Help. CoRR abs/2402.08062 (2024) - [i13]Hanlin Zhu, Baihe Huang, Shaolun Zhang, Michael I. Jordan, Jiantao Jiao, Yuandong Tian, Stuart Russell:
Towards a Theoretical Understanding of the 'Reversal Curse' via Training Dynamics. CoRR abs/2405.04669 (2024) - 2023
- [j5]Hongfu Shi
, Zhihao Ke, Jun Zheng, Yuqing Xiang, Kehong Ren, Peng Lin, Kaiwen Li, Hanlin Zhu, Le Liang, Zigang Deng:
An Effective Optimization Method and Implementation of Permanent Magnet Electrodynamic Wheel for Maglev Car. IEEE Trans. Veh. Technol. 72(7): 8369-8381 (2023) - [c10]Hanlin Zhu, Ruosong Wang, Jason D. Lee:
Provably Efficient Reinforcement Learning via Surprise Bound. AISTATS 2023: 4006-4032 - [c9]Paria Rashidinejad, Hanlin Zhu, Kunhe Yang, Stuart Russell, Jiantao Jiao:
Optimal Conservative Offline RL with General Function Approximation via Augmented Lagrangian. ICLR 2023 - [c8]Hanlin Zhu, Paria Rashidinejad, Jiantao Jiao:
Importance Weighted Actor-Critic for Optimal Conservative Offline Reinforcement Learning. NeurIPS 2023 - [c7]Hanlin Zhu, Amy Zhang:
Provably Efficient Offline Goal-Conditioned Reinforcement Learning with General Function Approximation and Single-Policy Concentrability. NeurIPS 2023 - [i12]Hanlin Zhu, Paria Rashidinejad, Jiantao Jiao:
Importance Weighted Actor-Critic for Optimal Conservative Offline Reinforcement Learning. CoRR abs/2301.12714 (2023) - [i11]Hanlin Zhu, Amy Zhang:
Provably Efficient Offline Goal-Conditioned Reinforcement Learning with General Function Approximation and Single-Policy Concentrability. CoRR abs/2302.03770 (2023) - [i10]Hanlin Zhu, Ruosong Wang, Jason D. Lee:
Provably Efficient Reinforcement Learning via Surprise Bound. CoRR abs/2302.11634 (2023) - [i9]Hanlin Zhu, Baihe Huang, Stuart Russell:
On Representation Complexity of Model-based and Model-free Reinforcement Learning. CoRR abs/2310.01706 (2023) - [i8]Danqing Wang, Kevin Yang, Hanlin Zhu, Xiaomeng Yang, Andrew Cohen, Lei Li, Yuandong Tian:
Learning Personalized Story Evaluation. CoRR abs/2310.03304 (2023) - [i7]Hanlin Zhu, Andrew Cohen, Danqing Wang, Kevin Yang, Xiaomeng Yang, Jiantao Jiao, Yuandong Tian:
End-to-end Story Plot Generator. CoRR abs/2310.08796 (2023) - [i6]Baihe Huang, Banghua Zhu, Hanlin Zhu, Jason D. Lee, Jiantao Jiao, Michael I. Jordan:
Towards Optimal Statistical Watermarking. CoRR abs/2312.07930 (2023) - 2022
- [j4]Hanlin Zhu, Yifeng He, Yuan Wang, Yan Zhao, Chao Jiang:
Mechanically-Guided 4D Printing of Magnetoresponsive Soft Materials across Different Length Scale. Adv. Intell. Syst. 4(3) (2022) - [j3]Hanlin Zhu, Yongxin Zhu, Hui Wang, Shihui Wang, Ziwei Liu, Balamurugan Balusamy, Pandi Vijayakumar, Ming Xia:
Multiscale deep network based multistep prediction of high-dimensional time series from power transmission systems. Trans. Emerg. Telecommun. Technol. 33(3) (2022) - [c6]Hanlin Zhu, Sicheng Zhou, Mengyuan Wang:
Forecasting Short-Term Crude Oil Price Movements using Futures Market Dynamics: Crude Oil Forecasting with Futures Market Properties. IC4E 2022: 542-554 - [i5]Paria Rashidinejad, Hanlin Zhu, Kunhe Yang, Stuart Russell, Jiantao Jiao:
Optimal Conservative Offline RL with General Function Approximation via Augmented Lagrangian. CoRR abs/2211.00716 (2022) - 2021
- [j2]Jixiang Wan, Wei Ding, Hanlin Zhu, Ming Xia, Zunkai Huang, Li Tian, Yongxin Zhu, Hui Wang:
An Efficient Small Traffic Sign Detection Method Based on YOLOv3. J. Signal Process. Syst. 93(8): 899-911 (2021) - [c5]Cyrus Rashtchian, David P. Woodruff, Peng Ye, Hanlin Zhu:
Average-Case Communication Complexity of Statistical Problems. COLT 2021: 3859-3886 - [i4]Cyrus Rashtchian, David P. Woodruff, Peng Ye, Hanlin Zhu:
Average-Case Communication Complexity of Statistical Problems. CoRR abs/2107.01335 (2021) - 2020
- [j1]Di Wu, Hanlin Zhu, Yongxin Zhu, Victor Chang, Cong He, Ching-Hsien Hsu, Hui Wang, Songlin Feng, Li Tian, Zunkai Huang:
Anomaly Detection Based on RBM-LSTM Neural Network for CPS in Advanced Driver Assistance System. ACM Trans. Cyber Phys. Syst. 4(3): 27:1-27:17 (2020) - [c4]Cyrus Rashtchian, David P. Woodruff, Hanlin Zhu:
Vector-Matrix-Vector Queries for Solving Linear Algebra, Statistics, and Graph Problems. APPROX-RANDOM 2020: 26:1-26:20 - [i3]Hanlin Zhu, Xue Li, Liuyang Sun, Fei He, Zhengtuo Zhao, Lan Luan, Ngoc Mai Tran, Chong Xie:
Clustering with Fast, Automated and Reproducible assessment applied to longitudinal neural tracking. CoRR abs/2003.08533 (2020) - [i2]Cyrus Rashtchian, David P. Woodruff, Hanlin Zhu:
Vector-Matrix-Vector Queries for Solving Linear Algebra, Statistics, and Graph Problems. CoRR abs/2006.14015 (2020)
2010 – 2019
- 2019
- [c3]Ryuichi Takanobu, Hanlin Zhu, Minlie Huang:
Guided Dialog Policy Learning: Reward Estimation for Multi-Domain Task-Oriented Dialog. EMNLP/IJCNLP (1) 2019: 100-110 - [i1]Ryuichi Takanobu, Hanlin Zhu, Minlie Huang:
Guided Dialog Policy Learning: Reward Estimation for Multi-Domain Task-Oriented Dialog. CoRR abs/1908.10719 (2019) - 2018
- [c2]Di Wu, Zhanrui Sun, Yongxin Zhu, Li Tian, Hanlin Zhu, Peng Xiong, Zihao Cao, Menglin Wang, Yu Zheng, Chao Xiong, Hao Jiang, Kuen Hung Tsoi, Xinyu Niu, Wei Mao, Can Feng, Xiaowen Zha, Guobao Deng, Wayne Luk:
Custom machine learning architectures: towards realtime anomaly detection for flight testing. IPDPS Workshops 2018: 1323-1330 - [c1]Hanlin Zhu, Yongxin Zhu, Di Wu, Hui Wang, Li Tian, Wei Mao, Can Feng, Xiaowen Zha, Guobao Deng, Jiayi Chen, Tao Liu, Xinyu Niu, Kuen Hung Tsoi, Wayne Luk:
Correlation Coefficient Based Cluster Data Preprocessing and LSTM Prediction Model for Time Series Data in Large Aircraft Test Flights. SmartCom 2018: 376-385
Coauthor Index
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last updated on 2024-09-21 01:45 CEST by the dblp team
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