Zhihan Liu
This page is a disambiguation page, it actually contains multiple papers from persons of the same or a similar name.
Known people with the same name:
- Zhihan Liu 001 (Beijing University of Posts and Telecommunications, Beijing, China)
- Zhihan Liu 002 (Central South University, Changsha, China)
- Zhihan Liu 003 (Fudan University, Shanghai, China)
- Zhihan Liu 004 (Nanchang Hangkong University, Nanchang, Jiangxi, China)
- Zhihan Liu 005 (Lanzhou Jiaotong University, Lanzhou, China)
- Zhihan Liu 006 (Universidad Autonoma de Barcelona, Barcelona, Spain)
Bibliography
2026
CoRR, April, 2026
Paying Less Generalization Tax: A Cross-Domain Generalization Study of RL Training for LLM Agents.
CoRR, January, 2026
LDM-DTI: A multimodal framework integrating pretrained language models and geometric graph networks for interpretable drug-target interaction prediction.
Expert Syst. Appl., 2026
2025
Stat. Comput., December, 2025
HG-Net: a novel neural network with hierarchical grouped convolution for indoor fingerprint positioning.
Clust. Comput., April, 2025
Trans. Mach. Learn. Res., 2025
Soybean Yield Estimation Using Improved Deep Learning Models With Integrated Multisource and Multitemporal Remote Sensing Data.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025
Dual Collaborative Sparse and Total Variation Regularization for Unmixing-Based Change Detection.
IEEE Geosci. Remote. Sens. Lett., 2025
Proceedings of the Forty-second International Conference on Machine Learning, 2025
BRiTE: Bootstrapping Reinforced Thinking Process to Enhance Language Model Reasoning.
Proceedings of the Forty-second International Conference on Machine Learning, 2025
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025
2024
Hindsight Planner: A Closed-Loop Few-Shot Planner for Embodied Instruction Following.
CoRR, 2024
DSTC: Direct Preference Learning with Only Self-Generated Tests and Code to Improve Code LMs.
CoRR, 2024
Just say what you want: only-prompting self-rewarding online preference optimization.
CoRR, 2024
CoRR, 2024
CoRR, 2024
Provably Mitigating Overoptimization in RLHF: Your SFT Loss is Implicitly an Adversarial Regularizer.
Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Proceedings of the Twelfth International Conference on Learning Representations, 2024
2023
Comput. Syst. Sci. Eng., 2023
Reason for Future, Act for Now: A Principled Framework for Autonomous LLM Agents with Provable Sample Efficiency.
CoRR, 2023
One Objective to Rule Them All: A Maximization Objective Fusing Estimation and Planning for Exploration.
CoRR, 2023
Maximize to Explore: One Objective Function Fusing Estimation, Planning, and Exploration.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Detformer: Detect the Reliable Attention Index for Ultra-long Time Series Forecasting.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2023
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2023, 2023
Proceedings of the Web Information Systems and Applications, 2023
Proceedings of the Web Information Systems and Applications, 2023
2022
Learning from Demonstration: Provably Efficient Adversarial Policy Imitation with Linear Function Approximation.
Proceedings of the International Conference on Machine Learning, 2022
Welfare Maximization in Competitive Equilibrium: Reinforcement Learning for Markov Exchange Economy.
Proceedings of the International Conference on Machine Learning, 2022
2021
Provably Efficient Generative Adversarial Imitation Learning for Online and Offline Setting with Linear Function Approximation.
CoRR, 2021
2019
Proceedings of the 2019 IEEE Global Communications Conference, 2019
2018
Robust energy efficiency power allocation for relay-assisted uplink cognitive radio networks.
Wirel. Networks, 2018
2017
Location deployment of depots and resource relocation for connected car-sharing systems through mobile edge computing.
Int. J. Distributed Sens. Networks, 2017
A Rush-Hour Vehicles Scheduling Strategy in Online Car-Sharing System Based on Urban Trajectory Data Analysis.
Proceedings of the Internet of Vehicles. Technologies and Services for Smart Cities, 2017
Learning Transportation Mode Choice for Context-Aware Services with Directed-Graph-Guided Fused Lasso from GPS Trajectory Data.
Proceedings of the 2017 IEEE International Conference on Web Services, 2017
Comparing Electricity Consumer Categories Based on Load Pattern Clustering with Their Natural Types.
Proceedings of the Algorithms and Architectures for Parallel Processing, 2017
2016
Proceedings of the 18th IEEE International Conference on High Performance Computing and Communications; 14th IEEE International Conference on Smart City; 2nd IEEE International Conference on Data Science and Systems, 2016
2015
A Full Service Model for Vehicle Scheduling in One-Way Electric Vehicle Car-Sharing Systems.
Proceedings of the Internet of Vehicles - Safe and Intelligent Mobility, 2015
Proceedings of the 2015 IEEE International Congress on Big Data, New York City, NY, USA, June 27, 2015
2014
Tree-Structured Network Based Hierarchical Complex Event Processing in Wireless Sensor Networks.
Proceedings of the 2014 Asia-Pacific Services Computing Conference, 2014
Proceedings of the 2014 Asia-Pacific Services Computing Conference, 2014
2012
Proceedings of the 3rd IEEE International Conference on Network Infrastructure and Digital Content, 2012
2007
Artificial Immune-based Feature Interaction Detection and Resolution for Next Generation Networks.
Proceedings of the Feature Interactions in Software and Communication Systems IX, 2007