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2020 – today
- 2024
[c8]Hao Zhao, Zihan Qiu, Huijia Wu, Zili Wang, Zhaofeng He, Jie Fu:
HyperMoE: Towards Better Mixture of Experts via Transferring Among Experts. ACL (1) 2024: 10605-10618- [c7]Zihan Qiu, Zeyu Huang, Youcheng Huang, Jie Fu:
Empirical Study on Updating Key-Value Memories in Transformer Feed-forward Layers. Tiny Papers @ ICLR 2024 - [c6]Zihan Qiu, Zeyu Huang, Jie Fu:
Unlocking Emergent Modularity in Large Language Models. NAACL-HLT 2024: 2638-2660 - [i13]Zihan Qiu, Zeyu Huang, Youcheng Huang, Jie Fu:
Empirical Study on Updating Key-Value Memories in Transformer Feed-forward Layers. CoRR abs/2402.12233 (2024) - [i12]Hao Zhao, Zihan Qiu, Huijia Wu, Zili Wang, Zhaofeng He, Jie Fu:
HyperMoE: Paying Attention to Unselected Experts in Mixture of Experts via Dynamic Transfer. CoRR abs/2402.12656 (2024) - [i11]Yuemei Xu, Ling Hu, Jiayi Zhao, Zihan Qiu, Yuqi Ye, Hanwen Gu:
A Survey on Multilingual Large Language Models: Corpora, Alignment, and Bias. CoRR abs/2404.00929 (2024) - [i10]Wenyu Du, Tongxu Luo, Zihan Qiu, Zeyu Huang, Yikang Shen, Reynold Cheng, Yike Guo, Jie Fu:
Stacking Your Transformers: A Closer Look at Model Growth for Efficient LLM Pre-Training. CoRR abs/2405.15319 (2024) - [i9]Haoze Wu, Zihan Qiu, Zili Wang, Hang Zhao, Jie Fu:
GW-MoE: Resolving Uncertainty in MoE Router with Global Workspace Theory. CoRR abs/2406.12375 (2024) - [i8]Wenyu Du, Shuang Cheng, Tongxu Luo, Zihan Qiu, Zeyu Huang, Ka Chun Cheung, Reynold Cheng, Jie Fu:
Unlocking Continual Learning Abilities in Language Models. CoRR abs/2406.17245 (2024) - [i7]Ka Man Lo, Zeyu Huang, Zihan Qiu, Zili Wang, Jie Fu:
A Closer Look into Mixture-of-Experts in Large Language Models. CoRR abs/2406.18219 (2024) - [i6]Tao Li, Lixing Wang, Zihan Qiu, Philippe Ciais, Taochun Sun, Matthew W. Jones, Robbie M. Andrew, Glen P. Peters, Piyu Ke, Xiaoting Huang, Robert B. Jackson, Zhu Liu:
Reconstructing Global Daily CO2 Emissions via Machine Learning. CoRR abs/2407.20057 (2024) - [i5]Zihan Qiu, Zeyu Huang, Shuang Cheng, Yizhi Zhou, Zili Wang, Ivan Titov, Jie Fu:
Layerwise Recurrent Router for Mixture-of-Experts. CoRR abs/2408.06793 (2024) - [i4]Zeyu Huang, Zihan Qiu, Zili Wang, Edoardo M. Ponti, Ivan Titov:
Post-hoc Reward Calibration: A Case Study on Length Bias. CoRR abs/2409.17407 (2024) - 2023
- [i3]Zihan Qiu, Zeyu Huang, Jie Fu:
Emergent Mixture-of-Experts: Can Dense Pre-trained Transformers Benefit from Emergent Modular Structures? CoRR abs/2310.10908 (2023) - [i2]Zihan Qiu, Zhen Liu, Shuicheng Yan, Shanghang Zhang, Jie Fu:
Heterogenous Memory Augmented Neural Networks. CoRR abs/2310.10909 (2023) - 2022
- [c5]Jialong Wu, Haixu Wu, Zihan Qiu, Jianmin Wang, Mingsheng Long:
Supported Policy Optimization for Offline Reinforcement Learning. NeurIPS 2022 - [i1]Jialong Wu, Haixu Wu, Zihan Qiu, Jianmin Wang, Mingsheng Long:
Supported Policy Optimization for Offline Reinforcement Learning. CoRR abs/2202.06239 (2022) - 2021
- [c4]Yu Lai, Liantao Lan, Rui Liang, Li Huang, Zihan Qiu, Yong Tang:
A University Portrait System Incorporating Academic Social Network. ChineseCSCW (2) 2021: 25-36 - [c3]Zekai Zhou, Dongyang Zheng, Zihan Qiu, Ronghua Lin, Zhengyang Wu, Chengzhe Yuan:
Academic Article Classification Algorithm Based on Pre-trained Model and Keyword Extraction. ChineseCSCW (2) 2021: 149-161 - [c2]Yongxu Long, Zihan Qiu, Dongyang Zheng, Zhengyang Wu, Jianguo Li, Yong Tang:
ResConvE: Deeper Convolution-Based Knowledge Graph Embeddings. ChineseCSCW (2) 2021: 162-172 - [c1]Zihan Qiu, Zekai Zhou, Yongxu Long, Chang Ji, Jianguo Li, Yong Tang:
Detection of Advertising Users Based on K-SMOTE and Ensemble Learning. HCC 2021: 133-145
Coauthor Index
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last updated on 2024-10-18 20:26 CEST by the dblp team
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