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Hao Liu 0055
Person information
- affiliation: University of California, Berkeley, CA, USA
Other persons with the same name
- Hao Liu — disambiguation page
- Hao Liu 0001
— Chinese Academy of Sciences, National Space Science Center, Key Laboratory of Microwave Remote Sensing, Beijing, China
- Hao Liu 0002
— Donghua University, College of Information Science and Technology, Shanghai, China
- Hao Liu 0003
— Tencent YouTu Lab, Hefei, China (and 1 more)
- Hao Liu 0004
— Beihang University, School of Astronautics, Beijing, China (and 1 more)
- Hao Liu 0005 — University College London, UK
- Hao Liu 0006 — Tsinghua University, Department of Computer Science and Technology, Key Laboratory of Pervasive Computing, Beijing, China
- Hao Liu 0007 — Stanford University, Department of Computer Science, Stanford, CA, USA (and 2 more)
- Hao Liu 0008
— Chinese Academie of Sciences, Shenyang Institute of Automation, State Key Laboratory of Robotics, China (and 2 more)
- Hao Liu 0009 — Technical University Eindhoven, Netherlands
- Hao Liu 0010 — Pioneer Suntec Electronic Technology Co., Ltd, Shanghai, China (and 1 more)
- Hao Liu 0011 — Hong Kong University of Science and Technology, Department of Computer Science and Engineering, Hong Kong (and 1 more)
- Hao Liu 0012
— Shenyang Aerospace University, Faculty of Aerospace Engineering, China (and 1 more)
- Hao Liu 0013
— Southeast University, National ASIC System Engineering Research Center, Nanjing, Wuxi, China
- Hao Liu 0014 — Alcatel-Lucent, Shanghai, China
- Hao Liu 0015 — Duke University, Durham, NC, USA (and 1 more)
- Hao Liu 0016
— Chiba University, Graduate School of Engineering, Japan
- Hao Liu 0017 — Guangxi University of Technology, Liuzhou, China
- Hao Liu 0018 — Stanford University, CA, USA (and 1 more)
- Hao Liu 0019
— Ningxia University, School of Information Engineering, Yinchuan, China (and 1 more)
- Hao Liu 0020 — University of Warwick, UK
- Hao Liu 0021 — LMA, Marseille, France
- Hao Liu 0022 — LIP6, Paris, France
- Hao Liu 0023
— Zhejiang University, State Key Laboratory of Industrial Control Technology, Hangzhou, China
- Hao Liu 0024
— Central South University, Changsha, China
- Hao Liu 0025 — New Jersey Institute of Technology (NJIT), Newark, NJ, USA
- Hao Liu 0026
— Baidu Research, Business Intelligence Lab, Beijing, China (and 2 more)
- Hao Liu 0027
— Shanghai Jiao Tong University, School of Biomedical Engineering, China
- Hao Liu 0028
— Georgia Institute of Technology, Department of Mathematics, Atlanta, GA, USA (and 1 more)
- Hao Liu 0029
— Nanjing University of Aeronautics and Astronautics, College of Mechanical and Electronics, China
- Hao Liu 0030
— Tsinghua University, Department of Electrical Engineering, State Key Laboratory of Power System, Beijing, China
- Hao Liu 0031
— University of Electronic Science and Technology of China, National Key Laboratory of Science and Technology on Communications, Chengdu, China
- Hao Liu 0032
— University of Science and Technology Liaoning, School of Science, Anshan, China (and 1 more)
- Hao Liu 0033
— Shantou University, Department of Electronic Engineering, Shantou, China
- Hao Liu 0034
— Chinese Academy of Sciences, Institute of Remote Sensing and Digital Earth, Beijing, China
- Hao Liu 0035
— University of Nottingham, Faculty of Engineering, Nottingham, UK
- Hao Liu 0036
— University of Electronic Science and Technology of China, Research Institute of Electronic Science and Technology, Chengdu, China
- Hao Liu 0037
— Beihang University, School of Economics and Management, Beijing, China
- Hao Liu 0038
— North China Electric Power University, State Key Lab of Alternate Electric Power System With Renewable Energy Sources, Beijing, China
- Hao Liu 0039
— Tianjin University, School of Electrical and Information Engineering, Tianjin Key Laboratory of Process Measurement and Control, China
- Hao Liu 0040 — Beijing Municipal Commission of Transport, Beijing Transportation Information Center, China (and 1 more)
- Hao Liu 0041
— Beihang University, School of Biological Science and Medical Engineering, Beijing, China
- Hao Liu 0042
— KU Leuven, ESAT-TELEMIC Research Division, Belgium
- Hao Liu 0043
— Dalian University of Technology, Faculty of Electronic Information and Electrical Engineering, China
- Hao Liu 0044
— Shandong University, School of Information Science and Engineering, Qingdao, China
- Hao Liu 0045
— Ocean University of China, Department of Computer Science and Technology, Qingdao, China
- Hao Liu 0046
— Guangxi Normal University, College of Electronic Engineering, China
- Hao Liu 0047
— Huazhong University of Science and Technology, School of Electrical and Electronic Engineering, State Key Laboratory of Advanced Electromagnetic Engineering and Technology, Wuhan, China (and 1 more)
- Hao Liu 0048
— Nanjing Forestry University, China
- Hao Liu 0049
— First Institution of Oceanography, Qingdao, China
- Hao Liu 0050
— Hunan University, Department of Applied Physics, School of Physics and Electronics, Changsha, China
- Hao Liu 0051
— China University of Geosciences, School of Computer Sciences, Wuhan, China
- Hao Liu 0052
— Hangzhou Dianzi University, MOE Key Laboratory of RF Circuits and Systems, Zhejiang, China
- Hao Liu 0053
— Beijing University of Posts and Telecommunications, School of Electronic Engineering, China
- Hao Liu 0054
— Montclair State University, NJ, USA (and 2 more)
- Hao Liu 0056
— Huazhong Agricultural University, Wuhan, Hubei, China (and 1 more)
- Hao Liu 0057
— Washington University in St. Louis (WashU), St. Louis, MO, USA
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2020 – today
- 2024
- [c13]Hao Liu, Carmelo Sferrazza, Pieter Abbeel:
Chain of Hindsight aligns Language Models with Feedback. ICLR 2024 - [c12]Hao Liu, Matei Zaharia, Pieter Abbeel:
RingAttention with Blockwise Transformers for Near-Infinite Context. ICLR 2024 - [c11]Arnav Gudibande, Eric Wallace, Charlie Snell, Xinyang Geng, Hao Liu, Pieter Abbeel, Sergey Levine, Dawn Song:
The False Promise of Imitating Proprietary Language Models. ICLR 2024 - [i22]Hao Liu, Wilson Yan, Matei Zaharia, Pieter Abbeel:
World Model on Million-Length Video And Language With Blockwise RingAttention. CoRR abs/2402.08268 (2024) - 2023
- [c10]Hao Liu, Pieter Abbeel:
Emergent Agentic Transformer from Chain of Hindsight Experience. ICML 2023: 21362-21374 - [c9]Ying Fan, Olivia Watkins, Yuqing Du, Hao Liu, Moonkyung Ryu, Craig Boutilier, Pieter Abbeel, Mohammad Ghavamzadeh, Kangwook Lee, Kimin Lee:
Reinforcement Learning for Fine-tuning Text-to-Image Diffusion Models. NeurIPS 2023 - [c8]Hao Liu, Pieter Abbeel:
Blockwise Parallel Transformers for Large Context Models. NeurIPS 2023 - [c7]Hao Liu, Wilson Yan, Pieter Abbeel:
Language Quantized AutoEncoders: Towards Unsupervised Text-Image Alignment. NeurIPS 2023 - [i21]Hao Liu, Wilson Yan, Pieter Abbeel:
Language Quantized AutoEncoders: Towards Unsupervised Text-Image Alignment. CoRR abs/2302.00902 (2023) - [i20]Hao Liu, Carmelo Sferrazza, Pieter Abbeel:
Chain of Hindsight Aligns Language Models with Feedback. CoRR abs/2302.02676 (2023) - [i19]Kimin Lee, Hao Liu, Moonkyung Ryu, Olivia Watkins, Yuqing Du, Craig Boutilier, Pieter Abbeel, Mohammad Ghavamzadeh, Shixiang Shane Gu:
Aligning Text-to-Image Models using Human Feedback. CoRR abs/2302.12192 (2023) - [i18]Arnav Gudibande, Eric Wallace, Charlie Snell, Xinyang Geng, Hao Liu, Pieter Abbeel, Sergey Levine, Dawn Song:
The False Promise of Imitating Proprietary LLMs. CoRR abs/2305.15717 (2023) - [i17]Ying Fan, Olivia Watkins, Yuqing Du, Hao Liu, Moonkyung Ryu, Craig Boutilier, Pieter Abbeel, Mohammad Ghavamzadeh, Kangwook Lee, Kimin Lee:
DPOK: Reinforcement Learning for Fine-tuning Text-to-Image Diffusion Models. CoRR abs/2305.16381 (2023) - [i16]Hao Liu, Pieter Abbeel:
Emergent Agentic Transformer from Chain of Hindsight Experience. CoRR abs/2305.16554 (2023) - [i15]Hao Liu, Pieter Abbeel:
Blockwise Parallel Transformer for Long Context Large Models. CoRR abs/2305.19370 (2023) - [i14]Hao Liu, Matei Zaharia
, Pieter Abbeel:
Ring Attention with Blockwise Transformers for Near-Infinite Context. CoRR abs/2310.01889 (2023) - [i13]Hao Liu, Matei Zaharia
, Pieter Abbeel:
Exploration with Principles for Diverse AI Supervision. CoRR abs/2310.08899 (2023) - [i12]Carmelo Sferrazza, Younggyo Seo, Hao Liu, Youngwoon Lee, Pieter Abbeel:
The Power of the Senses: Generalizable Manipulation from Vision and Touch through Masked Multimodal Learning. CoRR abs/2311.00924 (2023) - 2022
- [c6]Younggyo Seo, Danijar Hafner, Hao Liu, Fangchen Liu, Stephen James, Kimin Lee, Pieter Abbeel:
Masked World Models for Visual Control. CoRL 2022: 1332-1344 - [c5]Michael Laskin, Hao Liu, Xue Bin Peng, Denis Yarats, Aravind Rajeswaran, Pieter Abbeel:
Unsupervised Reinforcement Learning with Contrastive Intrinsic Control. NeurIPS 2022 - [c4]Fangchen Liu, Hao Liu, Aditya Grover, Pieter Abbeel:
Masked Autoencoding for Scalable and Generalizable Decision Making. NeurIPS 2022 - [i11]Denis Yarats, David Brandfonbrener, Hao Liu, Michael Laskin, Pieter Abbeel, Alessandro Lazaric, Lerrel Pinto:
Don't Change the Algorithm, Change the Data: Exploratory Data for Offline Reinforcement Learning. CoRR abs/2201.13425 (2022) - [i10]Michael Laskin, Hao Liu, Xue Bin Peng, Denis Yarats, Aravind Rajeswaran, Pieter Abbeel:
CIC: Contrastive Intrinsic Control for Unsupervised Skill Discovery. CoRR abs/2202.00161 (2022) - [i9]Xinyang Geng, Hao Liu, Lisa Lee, Dale Schuurams, Sergey Levine, Pieter Abbeel:
Multimodal Masked Autoencoders Learn Transferable Representations. CoRR abs/2205.14204 (2022) - [i8]Younggyo Seo, Danijar Hafner, Hao Liu, Fangchen Liu, Stephen James, Kimin Lee, Pieter Abbeel:
Masked World Models for Visual Control. CoRR abs/2206.14244 (2022) - [i7]Hao Liu, Lisa Lee, Kimin Lee, Pieter Abbeel:
Instruction-Following Agents with Jointly Pre-Trained Vision-Language Models. CoRR abs/2210.13431 (2022) - [i6]Hao Liu, Xinyang Geng, Lisa Lee, Igor Mordatch, Sergey Levine, Sharan Narang, Pieter Abbeel:
FCM: Forgetful Causal Masking Makes Causal Language Models Better Zero-Shot Learners. CoRR abs/2210.13432 (2022) - [i5]Fangchen Liu, Hao Liu, Aditya Grover, Pieter Abbeel:
Masked Autoencoding for Scalable and Generalizable Decision Making. CoRR abs/2211.12740 (2022) - 2021
- [c3]Hao Liu, Pieter Abbeel:
APS: Active Pretraining with Successor Features. ICML 2021: 6736-6747 - [c2]Michael Laskin, Denis Yarats, Hao Liu, Kimin Lee, Albert Zhan, Kevin Lu, Catherine Cang, Lerrel Pinto, Pieter Abbeel:
URLB: Unsupervised Reinforcement Learning Benchmark. NeurIPS Datasets and Benchmarks 2021 - [c1]Hao Liu, Pieter Abbeel:
Behavior From the Void: Unsupervised Active Pre-Training. NeurIPS 2021: 18459-18473 - [i4]Hao Liu, Pieter Abbeel:
Behavior From the Void: Unsupervised Active Pre-Training. CoRR abs/2103.04551 (2021) - [i3]Hao Liu, Pieter Abbeel:
APS: Active Pretraining with Successor Features. CoRR abs/2108.13956 (2021) - [i2]Michael Laskin, Denis Yarats, Hao Liu, Kimin Lee, Albert Zhan, Kevin Lu, Catherine Cang, Lerrel Pinto, Pieter Abbeel:
URLB: Unsupervised Reinforcement Learning Benchmark. CoRR abs/2110.15191 (2021) - 2020
- [i1]Hao Liu, Pieter Abbeel:
Hybrid Discriminative-Generative Training via Contrastive Learning. CoRR abs/2007.09070 (2020)
Coauthor Index
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last updated on 2024-09-05 02:09 CEST by the dblp team
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