Custom machine learning architectures: towards realtime anomaly detection for flight testing. - Di Wu; Zhanrui Sun; Yongxin Zhu 001; Li Tian; Hanlin Zhu; Peng Xiong; Zihao Cao; Menglin Wang; Yu Zheng 012; Chao Xiong; Hao Jiang; Kuen Hung Tsoi; et al. (IPDPS Workshops, 2018)

Correlation Coefficient Based Cluster Data Preprocessing and LSTM Prediction Model for Time Series Data in Large Aircraft Test Flights. - Hanlin Zhu; Yongxin Zhu 001; Di Wu; Hui Wang 036; Li Tian; Wei Mao; Can Feng; Xiaowen Zha; Guobao Deng; Jiayi Chen; Tao Liu; Xinyu Niu; et al. (SmartCom, 2018)

Guided Dialog Policy Learning: Reward Estimation for Multi-Domain Task-Oriented Dialog. - Ryuichi Takanobu; Hanlin Zhu; Minlie Huang (EMNLP/IJCNLP (1), 2019)

Vector-Matrix-Vector Queries for Solving Linear Algebra, Statistics, and Graph Problems. - Cyrus Rashtchian; David P. Woodruff; Hanlin Zhu (APPROX-RANDOM, 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)

Anomaly Detection Based on RBM-LSTM Neural Network for CPS in Advanced Driver Assistance System. - Di Wu; Hanlin Zhu; Yongxin Zhu 001; Victor Chang 001; Cong He; Ching-Hsien Hsu; Hui Wang 036; Songlin Feng; Li Tian; Zunkai Huang (ACM Trans. Cyber Phys. Syst., 2020)

Average-Case Communication Complexity of Statistical Problems. - Cyrus Rashtchian; David P. Woodruff; Peng Ye 005; Hanlin Zhu (COLT, 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 001; Hui Wang 036 (J. Signal Process. Syst., 2021)

Forecasting Short-Term Crude Oil Price Movements using Futures Market Dynamics: Crude Oil Forecasting with Futures Market Properties. - Hanlin Zhu; Sicheng Zhou; Mengyuan Wang (IC4E, 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)

Multiscale deep network based multistep prediction of high-dimensional time series from power transmission systems. - Hanlin Zhu; Yongxin Zhu 001; Hui Wang 036; Shihui Wang; Ziwei Liu; Balamurugan Balusamy; Pandi Vijayakumar; Ming Xia (Trans. Emerg. Telecommun. Technol., 2022)

Provably Efficient Reinforcement Learning via Surprise Bound. - Hanlin Zhu; Ruosong Wang; Jason D. Lee (AISTATS, 2023)

Optimal Conservative Offline RL with General Function Approximation via Augmented Lagrangian. - Paria Rashidinejad; Hanlin Zhu; Kunhe Yang; Stuart Russell 001; Jiantao Jiao (ICLR, 2023)

Importance Weighted Actor-Critic for Optimal Conservative Offline Reinforcement Learning. - Hanlin Zhu; Paria Rashidinejad; Jiantao Jiao (NeurIPS, 2023)

Provably Efficient Offline Goal-Conditioned Reinforcement Learning with General Function Approximation and Single-Policy Concentrability. - Hanlin Zhu; Amy Zhang 001 (NeurIPS, 2023)

Learning Personalized Story Evaluation. - Danqing Wang; Kevin Yang; Hanlin Zhu; Xiaomeng Yang; Andrew Cohen; Lei Li 005; Yuandong Tian (CoRR, 2023)

End-to-end Story Plot Generator. - Hanlin Zhu; Andrew Cohen; Danqing Wang; Kevin Yang; Xiaomeng Yang; Jiantao Jiao; Yuandong Tian (CoRR, 2023)

Towards Optimal Statistical Watermarking. - Baihe Huang; Banghua Zhu; Hanlin Zhu; Jason D. Lee; Jiantao Jiao; Michael I. Jordan (CoRR, 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., 2023)

Learning Personalized Alignment for Evaluating Open-ended Text Generation. - Danqing Wang; Kevin Yang; Hanlin Zhu; Xiaomeng Yang; Andrew Cohen; Lei Li 005; Yuandong Tian (EMNLP, 2024)

On Representation Complexity of Model-based and Model-free Reinforcement Learning. - Hanlin Zhu; Baihe Huang; Stuart Russell 001 (ICLR, 2024)

Towards a Theoretical Understanding of the 'Reversal Curse' via Training Dynamics. - Hanlin Zhu; Baihe Huang; Shaolun Zhang; Michael I. Jordan; Jiantao Jiao; Yuandong Tian; Stuart J. Russell (NeurIPS, 2024)

Efficient Prompt Caching via Embedding Similarity. - Hanlin Zhu; Banghua Zhu; Jiantao Jiao (CoRR, 2024)

Avoiding Catastrophe in Continuous Spaces by Asking for Help. - Benjamin Plaut; Hanlin Zhu; Stuart Russell 001 (CoRR, 2024)

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. - Hanlin Zhu; Mengwei Wu; Bo Feng; Haifeng Zhang; Chunfeng Hu; Tong Zhang; Zhijiang Han (BMC Medical Imaging, 2024)

Improve QMIX from CBS Intervention Guide and Curiosity Mechanism for Multi-Agent Path Finding. - Bin Gu; Quanjin Wang; Hanlin Zhu; Bingqian Chen; Shuo Feng; Shupan Li (ICIC (20), 2025)

Investigation of Electromagnetic and Dynamic Characteristics for On-Board Superconducting Coil Quenching on Superconducting EDS System. - Hao Lu; Jun Zheng; Huan Huang; Wenhui Li; Baoquan Kou; Mingming Li; Hanlin Zhu (IEEE Trans. Instrum. Meas., 2025)

Token Assorted: Mixing Latent and Text Tokens for Improved Language Model Reasoning. - DiJia Su; Hanlin Zhu; Yingchen Xu; Jiantao Jiao; Yuandong Tian; Qinqing Zheng (CoRR, 2025)

How Do LLMs Perform Two-Hop Reasoning in Context? - Tianyu Guo 004; Hanlin Zhu; Ruiqi Zhang; Jiantao Jiao; Song Mei; Michael I. Jordan; Stuart Russell 001 (CoRR, 2025)

Reasoning by Superposition: A Theoretical Perspective on Chain of Continuous Thought. - Hanlin Zhu; Shibo Hao; Zhiting Hu; Jiantao Jiao; Stuart Russell 001; Yuandong Tian (CoRR, 2025)

Auditing Black-Box LLM APIs with a Rank-Based Uniformity Test. - Xiaoyuan Zhu; Yaowen Ye; Tianyi Qiu; Hanlin Zhu; Sijun Tan; Ajraf Mannan; Jonathan Michala; Raluca Ada Popa; Willie Neiswanger (CoRR, 2025)

Generalization or Hallucination? Understanding Out-of-Context Reasoning in Transformers. - Yixiao Huang 004; Hanlin Zhu; Tianyu Guo 004; Jiantao Jiao; Somayeh Sojoudi; Michael I. Jordan; Stuart Russell 001; Song Mei (CoRR, 2025)