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Jialong Wu 0001
Person information
- affiliation: Tsinghua University, China
Other persons with the same name
- Jialong Wu 0002
— Land Development and Reclamation Center of Guangdong Province, Guangzhou, China
- Jialong Wu 0003 — Technical University of Munich (TUM), Garching, German
- Jialong Wu 0004
- Jialong Wu 0005 — University of California Berkeley, CA, USA
- Jialong Wu 0006 — Nari Group Corporation, Nanjing, Jiangsu
- Jialong Wu 0007 — Southeast University, China (and 1 more)
- Jialong Wu 0008 — University of Wuppertal, Germany
- Jialong Wu 0009 — M-A-P
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2020 – today
- 2024
- [c6]Haoyu Ma, Jialong Wu, Ningya Feng, Chenjun Xiao, Dong Li, Jianye Hao, Jianmin Wang, Mingsheng Long:
HarmonyDream: Task Harmonization Inside World Models. ICML 2024 - [i9]Jialong Wu, Chaoyi Deng, Jianmin Wang, Mingsheng Long:
Supercompiler Code Optimization with Zero-Shot Reinforcement Learning. CoRR abs/2404.16077 (2024) - [i8]Jialong Wu, Shaofeng Yin, Ningya Feng, Xu He, Dong Li, Jianye Hao, Mingsheng Long:
iVideoGPT: Interactive VideoGPTs are Scalable World Models. CoRR abs/2405.15223 (2024) - [i7]Ningya Feng, Junwei Pan, Jialong Wu, Baixu Chen, Ximei Wang, Qian Li, Xian Hu, Jie Jiang, Mingsheng Long:
Long-Sequence Recommendation Models Need Decoupled Embeddings. CoRR abs/2410.02604 (2024) - 2023
- [c5]Yang Shu, Xingzhuo Guo, Jialong Wu, Ximei Wang, Jianmin Wang, Mingsheng Long:
CLIPood: Generalizing CLIP to Out-of-Distributions. ICML 2023: 31716-31731 - [c4]Jialong Wu, Haoyu Ma, Chaoyi Deng, Mingsheng Long:
Pre-training Contextualized World Models with In-the-wild Videos for Reinforcement Learning. NeurIPS 2023 - [i6]Yang Shu, Xingzhuo Guo, Jialong Wu, Ximei Wang, Jianmin Wang, Mingsheng Long
CLIPood: Generalizing CLIP to Out-of-Distributions. CoRR abs/2302.00864 (2023) - [i5]Jialong Wu, Haoyu Ma, Chaoyi Deng, Mingsheng Long:
Pre-training Contextualized World Models with In-the-wild Videos for Reinforcement Learning. CoRR abs/2305.18499 (2023) - [i4]Haoyu Ma, Jialong Wu, Ningya Feng, Jianmin Wang, Mingsheng Long:
Harmony World Models: Boosting Sample Efficiency for Model-based Reinforcement Learning. CoRR abs/2310.00344 (2023) - 2022
- [c3]Yiwen Qiu, Jialong Wu, Zhangjie Cao, Mingsheng Long
Out-of-Dynamics Imitation Learning from Multimodal Demonstrations. CoRL 2022: 1071-1080 - [c2]Haixu Wu, Jialong Wu, Jiehui Xu, Jianmin Wang
Flowformer: Linearizing Transformers with Conservation Flows. ICML 2022: 24226-24242 - [c1]Jialong Wu, Haixu Wu, Zihan Qiu, Jianmin Wang, Mingsheng Long:
Supported Policy Optimization for Offline Reinforcement Learning. NeurIPS 2022 - [i3]Jialong Wu, Haixu Wu, Zihan Qiu, Jianmin Wang, Mingsheng Long:
Supported Policy Optimization for Offline Reinforcement Learning. CoRR abs/2202.06239 (2022) - [i2]Haixu Wu, Jialong Wu, Jiehui Xu, Jianmin Wang, Mingsheng Long:
Flowformer: Linearizing Transformers with Conservation Flows. CoRR abs/2202.06258 (2022) - [i1]Yiwen Qiu, Jialong Wu, Zhangjie Cao, Mingsheng Long
Out-of-Dynamics Imitation Learning from Multimodal Demonstrations. CoRR abs/2211.06839 (2022)
Coauthor Index
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