Hanlin Zhu

According to our database, Hanlin Zhu authored at least 22 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Avoiding Catastrophe in Continuous Spaces by Asking for Help.

Benjamin Plaut, Hanlin Zhu, Stuart Russell

CoRR, 2024

Efficient Prompt Caching via Embedding Similarity.

Hanlin Zhu, Banghua Zhu, Jiantao Jiao

CoRR, 2024

2023

An Effective Optimization Method and Implementation of Permanent Magnet Electrodynamic Wheel for Maglev Car.

Hongfu Shi, Zhihao Ke, Jun Zheng, Yuqing Xiang, Kehong Ren, Peng Lin, Kaiwen Li, Hanlin Zhu, Le Liang, Zigang Deng

IEEE Trans. Veh. Technol., July, 2023

Towards Optimal Statistical Watermarking.

Baihe Huang, Banghua Zhu, Hanlin Zhu, Jason D. Lee, Jiantao Jiao, Michael I. Jordan

CoRR, 2023

End-to-end Story Plot Generator.

Hanlin Zhu, Andrew Cohen, Danqing Wang, Kevin Yang, Xiaomeng Yang, Jiantao Jiao, Yuandong Tian

CoRR, 2023

Learning Personalized Story Evaluation.

Danqing Wang, Kevin Yang, Hanlin Zhu, Xiaomeng Yang, Andrew Cohen, Lei Li, Yuandong Tian

CoRR, 2023

On Representation Complexity of Model-based and Model-free Reinforcement Learning.

Hanlin Zhu, Baihe Huang, Stuart Russell

CoRR, 2023

Provably Efficient Offline Goal-Conditioned Reinforcement Learning with General Function Approximation and Single-Policy Concentrability.

Hanlin Zhu, Amy Zhang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Importance Weighted Actor-Critic for Optimal Conservative Offline Reinforcement Learning.

Hanlin Zhu, Paria Rashidinejad, Jiantao Jiao

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Optimal Conservative Offline RL with General Function Approximation via Augmented Lagrangian.

Paria Rashidinejad, Hanlin Zhu, Kunhe Yang, Stuart Russell, Jiantao Jiao

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Provably Efficient Reinforcement Learning via Surprise Bound.

Hanlin Zhu, Ruosong Wang, Jason D. Lee

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

Multiscale deep network based multistep prediction of high-dimensional time series from power transmission systems.

Hanlin Zhu, Yongxin Zhu, Hui Wang, Shihui Wang, Ziwei Liu, Balamurugan Balusamy, Pandi Vijayakumar, Ming Xia

Trans. Emerg. Telecommun. Technol., 2022

Mechanically-Guided 4D Printing of Magnetoresponsive Soft Materials across Different Length Scale.

Hanlin Zhu, Yifeng He, Yuan Wang, Yan Zhao, Chao Jiang

Adv. Intell. Syst., 2022

Forecasting Short-Term Crude Oil Price Movements using Futures Market Dynamics: Crude Oil Forecasting with Futures Market Properties.

Hanlin Zhu, Sicheng Zhou, Mengyuan Wang

Proceedings of the IC4E 2022: 13th International Conference on E-Education, E-Business, E-Management, and E-Learning, Tokyo, Japan, January 14, 2022

2021

An Efficient Small Traffic Sign Detection Method Based on YOLOv3.

Jixiang Wan, Wei Ding, Hanlin Zhu, Ming Xia, Zunkai Huang, Li Tian, Yongxin Zhu, Hui Wang

J. Signal Process. Syst., 2021

Average-Case Communication Complexity of Statistical Problems.

Cyrus Rashtchian, David P. Woodruff, Peng Ye, Hanlin Zhu

Proceedings of the Conference on Learning Theory, 2021

2020

Anomaly Detection Based on RBM-LSTM Neural Network for CPS in Advanced Driver Assistance System.

Di Wu, Hanlin Zhu, Yongxin Zhu, Victor Chang, Cong He, Ching-Hsien Hsu, Hui Wang, Songlin Feng, Li Tian, Zunkai Huang

ACM Trans. Cyber Phys. Syst., 2020

Clustering with Fast, Automated and Reproducible assessment applied to longitudinal neural tracking.

Hanlin Zhu, Xue Li, Liuyang Sun, Fei He, Zhengtuo Zhao, Lan Luan, Ngoc Mai Tran, Chong Xie

CoRR, 2020

Vector-Matrix-Vector Queries for Solving Linear Algebra, Statistics, and Graph Problems.

Cyrus Rashtchian, David P. Woodruff, Hanlin Zhu

Proceedings of the Approximation, 2020

2019

Guided Dialog Policy Learning: Reward Estimation for Multi-Domain Task-Oriented Dialog.

Ryuichi Takanobu, Hanlin Zhu, Minlie Huang

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

2018

Correlation Coefficient Based Cluster Data Preprocessing and LSTM Prediction Model for Time Series Data in Large Aircraft Test Flights.

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

Proceedings of the Smart Computing and Communication - Third International Conference, 2018

Custom machine learning architectures: towards realtime anomaly detection for flight testing.

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

Proceedings of the 2018 IEEE International Parallel and Distributed Processing Symposium Workshops, 2018