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2020 – today
- 2024
[j5]Haotian Fu
, Yulong Huang, Tingran Chen, Chenyi Fu, Hongwei Ren, Yue Zhou, Shouzhong Peng, Zhirui Zong, Biao Pan, Bojun Cheng:
DS-CIM: A 40nm Asynchronous Dual-Spike Driven, MRAM Compute-In-Memory Macro for Spiking Neural Network. IEEE Trans. Circuits Syst. I Regul. Pap. 71(4): 1638-1650 (2024)- [j4]Tingran Chen, Wenjia Wang, Jiaqi Chen, Haotian Fu, Wente Yi, Bojun Cheng, He Zhang, Biao Pan:
PipeCIM: A High-Throughput Computing-In-Memory Microprocessor With Nested Pipeline and RISC-V Extended Instructions. IEEE Trans. Circuits Syst. I Regul. Pap. 71(7): 3214-3227 (2024) - [c13]Hongwei Ren, Jiadong Zhu, Yue Zhou, Haotian Fu, Yulong Huang, Bojun Cheng:
A Simple and Effective Point-Based Network for Event Camera 6-DOFs Pose Relocalization. CVPR 2024: 18112-18121 - [c12]Hongwei Ren, Yue Zhou, Xiaopeng Lin, Yulong Huang, Haotian Fu, Jie Song, Bojun Cheng:
SpikePoint: An Efficient Point-based Spiking Neural Network for Event Cameras Action Recognition. ICLR 2024 - [c11]Haotian Fu, Pratyusha Sharma, Elias Stengel-Eskin, George Konidaris, Nicolas Le Roux, Marc-Alexandre Côté, Xingdi Yuan:
Language-guided Skill Learning with Temporal Variational Inference. ICML 2024 - [c10]Yulong Huang, Xiaopeng Lin, Hongwei Ren, Haotian Fu, Yue Zhou, Zunchang Liu, Biao Pan, Bojun Cheng:
CLIF: Complementary Leaky Integrate-and-Fire Neuron for Spiking Neural Networks. ICML 2024 - [c9]Renhao Zhang, Haotian Fu, Yilin Miao, George Konidaris:
Model-based Reinforcement Learning for Parameterized Action Spaces. ICML 2024 - [i14]Yulong Huang, Xiaopeng Lin, Hongwei Ren, Yue Zhou, Zunchang Liu, Haotian Fu, Biao Pan, Bojun Cheng:
CLIF: Complementary Leaky Integrate-and-Fire Neuron for Spiking Neural Networks. CoRR abs/2402.04663 (2024) - [i13]Haotian Fu, Pratyusha Sharma, Elias Stengel-Eskin, George Konidaris, Nicolas Le Roux, Marc-Alexandre Côté, Xingdi Yuan:
Language-guided Skill Learning with Temporal Variational Inference. CoRR abs/2402.16354 (2024) - [i12]Hongwei Ren, Jiadong Zhu, Yue Zhou, Haotian Fu, Yulong Huang, Bojun Cheng:
A Simple and Effective Point-based Network for Event Camera 6-DOFs Pose Relocalization. CoRR abs/2403.19412 (2024) - [i11]Renhao Zhang, Haotian Fu, Yilin Miao, George Konidaris:
Model-based Reinforcement Learning for Parameterized Action Spaces. CoRR abs/2404.03037 (2024) - [i10]Hongwei Ren, Yue Zhou, Jiadong Zhu, Haotian Fu, Yulong Huang, Xiaopeng Lin, Yuetong Fang, Fei Ma, Hao Yu, Bojun Cheng:
Rethinking Efficient and Effective Point-based Networks for Event Camera Classification and Regression: EventMamba. CoRR abs/2405.06116 (2024) - [i9]Qi Zhao, Haotian Fu, Chen Sun, George Konidaris:
EPO: Hierarchical LLM Agents with Environment Preference Optimization. CoRR abs/2408.16090 (2024) - 2023
- [j3]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:
A domain-agnostic approach for characterization of lifelong learning systems. Neural Networks 160: 274-296 (2023) - [j2]Qinghui Hong, Haotian Fu, Yiyang Liu, Jiliang Zhang:
In-Memory Computing Circuit Implementation of Complex-Valued Hopfield Neural Network for Efficient Portrait Restoration. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42(10): 3338-3351 (2023) - [c8]Hongze Liu, Haotian Fu, Shijing Yuan, Chentao Wu, Yuan Luo, Jie Li:
Adaptive Processing for Video Streaming with Energy Constraint: A Multi-Agent Reinforcement Learning Method. GLOBECOM 2023: 122-127 - [c7]Haotian Fu, Jiayu Yao, Omer Gottesman, Finale Doshi-Velez, George Konidaris:
Performance Bounds for Model and Policy Transfer in Hidden-parameter MDPs. ICLR 2023 - [c6]Haotian Fu, Shangqun Yu, Saket Tiwari, Michael Littman, George Konidaris:
Meta-learning Parameterized Skills. ICML 2023: 10461-10481 - [c5]Hongwei Ren, Yue Zhou, Haotian Fu, Yulong Huang, Renjing Xu, Bojun Cheng:
TTPOINT: A Tensorized Point Cloud Network for Lightweight Action Recognition with Event Cameras. ACM Multimedia 2023: 8026-8034 - [i8]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 Dimitri 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:
A Domain-Agnostic Approach for Characterization of Lifelong Learning Systems. CoRR abs/2301.07799 (2023) - [i7]Hongwei Ren, Yue Zhou, Haotian Fu, Yulong Huang, Renjing Xu, Bojun Cheng:
TTPOINT: A Tensorized Point Cloud Network for Lightweight Action Recognition with Event Cameras. CoRR abs/2308.09993 (2023) - [i6]Hongwei Ren, Yue Zhou, Yulong Huang, Haotian Fu, Xiaopeng Lin, Jie Song, Bojun Cheng:
SpikePoint: An Efficient Point-based Spiking Neural Network for Event Cameras Action Recognition. CoRR abs/2310.07189 (2023) - 2022
- [c4]Haotian Fu, Shangqun Yu, Michael Littman, George Konidaris:
Model-based Lifelong Reinforcement Learning with Bayesian Exploration. NeurIPS 2022 - [i5]Haotian Fu, Shangqun Yu, Saket Tiwari, George Dimitri Konidaris, Michael Littman:
Meta-Learning Transferable Parameterized Skills. CoRR abs/2206.03597 (2022) - [i4]Haotian Fu, Shangqun Yu, Michael Littman, George Dimitri Konidaris:
Model-based Lifelong Reinforcement Learning with Bayesian Exploration. CoRR abs/2210.11579 (2022) - 2021
- [j1]Haotian Fu, Qinghui Hong, Chunhua Wang, Jingru Sun, Ya Li:
Solving Non-Homogeneous Linear Ordinary Differential Equations Using Memristor-Capacitor Circuit. IEEE Trans. Circuits Syst. I Regul. Pap. 68(11): 4495-4507 (2021) - [c3]Haotian Fu, Hongyao Tang, Jianye Hao, Chen Chen, Xidong Feng, Dong Li, Wulong Liu:
Towards Effective Context for Meta-Reinforcement Learning: an Approach based on Contrastive Learning. AAAI 2021: 7457-7465 - 2020
- [c2]Haotian Fu, Hongyao Tang, Jianye Hao, Wulong Liu, Chen Chen:
MGHRL: Meta Goal-Generation for Hierarchical Reinforcement Learning. DAI 2020: 29-39 - [i3]Haotian Fu, Hongyao Tang, Jianye Hao, Chen Chen, Xidong Feng, Dong Li, Wulong Liu:
Towards Effective Context for Meta-Reinforcement Learning: an Approach based on Contrastive Learning. CoRR abs/2009.13891 (2020)
2010 – 2019
- 2019
- [c1]Haotian Fu, Hongyao Tang, Jianye Hao, Zihan Lei, Yingfeng Chen, Changjie Fan:
Deep Multi-Agent Reinforcement Learning with Discrete-Continuous Hybrid Action Spaces. IJCAI 2019: 2329-2335 - [i2]Haotian Fu, Hongyao Tang, Jianye Hao, Zihan Lei, Yingfeng Chen, Changjie Fan:
Deep Multi-Agent Reinforcement Learning with Discrete-Continuous Hybrid Action Spaces. CoRR abs/1903.04959 (2019) - [i1]Haotian Fu, Hongyao Tang, Jianye Hao:
Efficient meta reinforcement learning via meta goal generation. CoRR abs/1909.13607 (2019)
Coauthor Index
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