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Siyi Hu
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2020 – today
- 2024
- [j6]Yifan Zhong, Jakub Grudzien Kuba, Xidong Feng, Siyi Hu, Jiaming Ji, Yaodong Yang:
Heterogeneous-Agent Reinforcement Learning. J. Mach. Learn. Res. 25: 32:1-32:67 (2024) - [c10]Ceyao Zhang, Kaijie Yang, Siyi Hu, Zihao Wang, Guanghe Li, Yihang Sun, Cheng Zhang, Zhaowei Zhang, Anji Liu, Song-Chun Zhu, Xiaojun Chang, Junge Zhang, Feng Yin, Yitao Liang, Yaodong Yang:
ProAgent: Building Proactive Cooperative Agents with Large Language Models. AAAI 2024: 17591-17599 - [c9]Daiki Saito, Siyi Hu, Yukinori Sato:
A Microservice Scheduler for Heterogeneous Resources on Edge-Cloud Computing Continuum. COOL CHIPS 2024: 1-6 - [c8]Jiarong Liu, Yifan Zhong, Siyi Hu, Haobo Fu, Qiang Fu, Xiaojun Chang, Yaodong Yang:
Maximum Entropy Heterogeneous-Agent Reinforcement Learning. ICLR 2024 - [i15]Siyi Hu, Diego Martín Arroyo, Stephanie Debats, Fabian Manhardt, Luca Carlone, Federico Tombari:
Mixed Diffusion for 3D Indoor Scene Synthesis. CoRR abs/2405.21066 (2024) - 2023
- [j5]Siyi Hu, Makiko Ito, Takahide Yoshikawa, Yuan He, Hiroshi Nakamura, Masaaki Kondo:
Adaptive Lossy Data Compression Extended Architecture for Memory Bandwidth Conservation in SpMV. IEICE Trans. Inf. Syst. 106(12): 2015-2025 (2023) - [j4]Siyi Hu, Yifan Zhong, Minquan Gao, Weixun Wang, Hao Dong, Xiaodan Liang, Zhihui Li, Xiaojun Chang, Yaodong Yang:
MARLlib: A Scalable and Efficient Multi-agent Reinforcement Learning Library. J. Mach. Learn. Res. 24: 315:1-315:23 (2023) - [j3]Siyi Hu, Masaaki Kondo, Yuan He, Ryuichi Sakamoto, Hao Zhang, Jun Zhou, Hiroshi Nakamura:
An edge re-ordering based acceleration architecture for improving data locality in graph analytics applications. Microprocess. Microsystems 102: 104895 (2023) - [i14]Yifan Zhong, Jakub Grudzien Kuba, Siyi Hu, Jiaming Ji, Yaodong Yang:
Heterogeneous-Agent Reinforcement Learning. CoRR abs/2304.09870 (2023) - [i13]Nathan Hughes, Yun Chang, Siyi Hu, Rajat Talak, Rumaisa Abdulhai, Jared Strader, Luca Carlone:
Foundations of Spatial Perception for Robotics: Hierarchical Representations and Real-time Systems. CoRR abs/2305.07154 (2023) - [i12]Jiarong Liu, Yifan Zhong, Siyi Hu, Haobo Fu, Qiang Fu, Xiaojun Chang, Yaodong Yang:
Maximum Entropy Heterogeneous-Agent Mirror Learning. CoRR abs/2306.10715 (2023) - [i11]Ceyao Zhang, Kaijie Yang, Siyi Hu, Zihao Wang, Guanghe Li, Yihang Sun, Cheng Zhang, Zhaowei Zhang, Anji Liu, Song-Chun Zhu, Xiaojun Chang, Junge Zhang, Feng Yin, Yitao Liang, Yaodong Yang:
ProAgent: Building Proactive Cooperative AI with Large Language Models. CoRR abs/2308.11339 (2023) - 2022
- [c7]Siyi Hu, Chuanlong Xie, Xiaodan Liang, Xiaojun Chang:
Policy Diagnosis via Measuring Role Diversity in Cooperative Multi-agent RL. ICML 2022: 9041-9071 - [c6]Siyi Hu, Makiko Ito, Takahide Yoshikawa, Yuan He, Masaaki Kondo:
Memory Bandwidth Conservation for SpMV Kernels Through Adaptive Lossy Data Compression. PDCAT 2022: 467-480 - [c5]Siyi Hu, Masaaki Kondo, Yuan He, Ryuichi Sakamoto, Hao Zhang, Jun Zhou, Hiroshi Nakamura:
GraphDEAR: An Accelerator Architecture for Exploiting Cache Locality in Graph Analytics Applications. PDP 2022: 135-143 - [i10]William Chen, Siyi Hu, Rajat Talak, Luca Carlone:
Extracting Zero-shot Common Sense from Large Language Models for Robot 3D Scene Understanding. CoRR abs/2206.04585 (2022) - [i9]Siyi Hu, Chuanlong Xie, Xiaodan Liang, Xiaojun Chang:
Policy Diagnosis via Measuring Role Diversity in Cooperative Multi-agent RL. CoRR abs/2207.05683 (2022) - [i8]William Chen, Siyi Hu, Rajat Talak, Luca Carlone:
Leveraging Large Language Models for Robot 3D Scene Understanding. CoRR abs/2209.05629 (2022) - [i7]Siyi Hu, Yifan Zhong, Minquan Gao, Weixun Wang, Hao Dong, Zhihui Li, Xiaodan Liang, Xiaojun Chang, Yaodong Yang:
MARLlib: Extending RLlib for Multi-agent Reinforcement Learning. CoRR abs/2210.13708 (2022) - 2021
- [c4]Siyi Hu, Fengda Zhu, Xiaojun Chang, Xiaodan Liang:
UPDeT: Universal Multi-agent RL via Policy Decoupling with Transformers. ICLR 2021 - [c3]Siyi Hu, Fengda Zhu, Xiaojun Chang, Xiaodan Liang:
Transformer Based Multi-Agent Framework. ICME Workshops 2021: 1-2 - [c2]Rajat Talak, Siyi Hu, Lisa Peng, Luca Carlone:
Neural Trees for Learning on Graphs. NeurIPS 2021: 26395-26408 - [i6]Siyi Hu, Fengda Zhu, Xiaojun Chang, Xiaodan Liang:
UPDeT: Universal Multi-agent Reinforcement Learning via Policy Decoupling with Transformers. CoRR abs/2101.08001 (2021) - [i5]Rajat Talak, Siyi Hu, Lisa Peng, Luca Carlone:
Neural Trees for Learning on Graphs. CoRR abs/2105.07264 (2021) - 2020
- [i4]Siyi Hu, Xiaojun Chang:
Multi-view Drone-based Geo-localization via Style and Spatial Alignment. CoRR abs/2006.13681 (2020)
2010 – 2019
- 2019
- [j2]Pierre-Yves Lajoie, Siyi Hu, Giovanni Beltrame, Luca Carlone:
Modeling Perceptual Aliasing in SLAM via Discrete-Continuous Graphical Models. IEEE Robotics Autom. Lett. 4(2): 1232-1239 (2019) - [j1]Siyi Hu, Luca Carlone:
Accelerated Inference in Markov Random Fields via Smooth Riemannian Optimization. IEEE Robotics Autom. Lett. 4(2): 1295-1302 (2019) - [c1]Xiaojun Chang, Wenhe Liu, Po-Yao Huang, Changlin Li, Fengda Zhu, Mingfei Han, Mingjie Li, Mengyuan Ma, Siyi Hu, Guoliang Kang, Junwei Liang, Liangke Gui, Lijun Yu, Yijun Qian, Jing Wen, Alexander G. Hauptmann:
MMVG-INF-Etrol@TRECVID 2019: Activities in Extended Video. TRECVID 2019 - [i3]Chunjie Zhang, Yang Su, Siyi Hu, Kai Jin, Yuhan Jie, Wenshi Li, Arokia Nathan, Hanbin Ma:
An impedance sensing platform for monitoring heterogeneous connectivity and diagnostics in lab-on-a-chip systems. CoRR abs/1909.13085 (2019) - 2018
- [i2]Siyi Hu, Luca Carlone:
Accelerated Inference in Markov Random Fields via Smooth Riemannian Optimization. CoRR abs/1810.11689 (2018) - [i1]Pierre-Yves Lajoie, Siyi Hu, Giovanni Beltrame, Luca Carlone:
Modeling Perceptual Aliasing in SLAM via Discrete-Continuous Graphical Models. CoRR abs/1810.11692 (2018)
Coauthor Index
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last updated on 2024-09-27 00:34 CEST by the dblp team
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