Haotian Fu

According to our database, Haotian Fu authored at least 18 papers between 2019 and 2024.

Collaborative distances:

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

2024

DS-CIM: A 40nm Asynchronous Dual-Spike Driven, MRAM Compute-In-Memory Macro for Spiking Neural Network.

Haotian Fu, Yulong Huang, Tingran Chen, Chenyi Fu, Hongwei Ren, Yue Zhou, Shouzhong Peng, Zhirui Zong, Biao Pan, Bojun Cheng

IEEE Trans. Circuits Syst. I Regul. Pap., April, 2024

A Simple and Effective Point-based Network for Event Camera 6-DOFs Pose Relocalization.

Hongwei Ren, Jiadong Zhu, Yue Zhou, Haotian Fu, Yulong Huang, Bojun Cheng

CoRR, 2024

Language-guided Skill Learning with Temporal Variational Inference.

Haotian Fu, Pratyusha Sharma, Elias Stengel-Eskin, George Konidaris, Nicolas Le Roux, Marc-Alexandre Côté, Xingdi Yuan

CoRR, 2024

CLIF: Complementary Leaky Integrate-and-Fire Neuron for Spiking Neural Networks.

Yulong Huang, Xiaopeng Lin, Hongwei Ren, Yue Zhou, Zunchang Liu, Haotian Fu, Biao Pan, Bojun Cheng

CoRR, 2024

2023

In-Memory Computing Circuit Implementation of Complex-Valued Hopfield Neural Network for Efficient Portrait Restoration.

Qinghui Hong, Haotian Fu, Yiyang Liu, Jiliang Zhang

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., October, 2023

A domain-agnostic approach for characterization of lifelong learning systems.

Megan M. Baker, Alexander New, Mario Aguilar-Simon, Ziad Al-Halah, Sébastien M. R. Arnold, Eseoghene Ben-Iwhiwhu, Andrew P. Brna, Ethan Brooks, Ryan C. Brown, Zachary Daniels, Anurag Reddy Daram, Fabien Delattre, Ryan Dellana, Eric Eaton, Haotian Fu, Kristen Grauman, Jesse Hostetler, Shariq Iqbal, Cassandra Kent, Nicholas Ketz, Soheil Kolouri, George Konidaris, Dhireesha Kudithipudi, Erik G. Learned-Miller, Seungwon Lee, Michael Littman, Sandeep Madireddy, Jorge A. Mendez, Eric Q. Nguyen, Christine D. Piatko, Praveen K. Pilly, Aswin Raghavan, Abrar Rahman, Santhosh Kumar Ramakrishnan, Neale Ratzlaff, Andrea Soltoggio, Peter Stone, Indranil Sur, Zhipeng Tang, Saket Tiwari, Kyle Vedder, Felix Wang, Zifan Xu, Angel Yanguas-Gil, Harel Yedidsion, Shangqun Yu, Gautam K. Vallabha

Neural Networks, March, 2023

SpikePoint: An Efficient Point-based Spiking Neural Network for Event Cameras Action Recognition.

Hongwei Ren, Yue Zhou, Yulong Huang, Haotian Fu, Xiaopeng Lin, Jie Song, Bojun Cheng

CoRR, 2023

TTPOINT: A Tensorized Point Cloud Network for Lightweight Action Recognition with Event Cameras.

Hongwei Ren, Yue Zhou, Haotian Fu, Yulong Huang, Renjing Xu, Bojun Cheng

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Meta-learning Parameterized Skills.

Haotian Fu, Shangqun Yu, Saket Tiwari, Michael Littman, George Konidaris

Proceedings of the International Conference on Machine Learning, 2023

Performance Bounds for Model and Policy Transfer in Hidden-parameter MDPs.

Haotian Fu, Jiayu Yao, Omer Gottesman, Finale Doshi-Velez, George Konidaris

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Adaptive Processing for Video Streaming with Energy Constraint: A Multi-Agent Reinforcement Learning Method.

Hongze Liu, Haotian Fu, Shijing Yuan, Chentao Wu, Yuan Luo, Jie Li

Proceedings of the IEEE Global Communications Conference, 2023

2022

Meta-Learning Transferable Parameterized Skills.

Haotian Fu, Shangqun Yu, Saket Tiwari, George Dimitri Konidaris, Michael Littman

CoRR, 2022

Model-based Lifelong Reinforcement Learning with Bayesian Exploration.

Haotian Fu, Shangqun Yu, Michael Littman, George Konidaris

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Solving Non-Homogeneous Linear Ordinary Differential Equations Using Memristor-Capacitor Circuit.

Haotian Fu, Qinghui Hong, Chunhua Wang, Jingru Sun, Ya Li

IEEE Trans. Circuits Syst. I Regul. Pap., 2021

Towards Effective Context for Meta-Reinforcement Learning: an Approach based on Contrastive Learning.

Haotian Fu, Hongyao Tang, Jianye Hao, Chen Chen, Xidong Feng, Dong Li, Wulong Liu

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

MGHRL: Meta Goal-Generation for Hierarchical Reinforcement Learning.

Haotian Fu, Hongyao Tang, Jianye Hao, Wulong Liu, Chen Chen

Proceedings of the Distributed Artificial Intelligence - Second International Conference, 2020

2019

Efficient meta reinforcement learning via meta goal generation.

Haotian Fu, Hongyao Tang, Jianye Hao

CoRR, 2019

Deep Multi-Agent Reinforcement Learning with Discrete-Continuous Hybrid Action Spaces.

Haotian Fu, Hongyao Tang, Jianye Hao, Zihan Lei, Yingfeng Chen, Changjie Fan

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019