Zihan Qiu

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 19

Top Topics

Partially Observable Environments

Reinforcement Learning Problems

Top Venues

ChineseCSCW (2)

Tiny Papers @ ICLR

Publications

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 (2024)
Yuemei Xu, Ling Hu, Jiayi Zhao, Zihan Qiu, Yuqi Ye, Hanwen Gu
A Survey on Multilingual Large Language Models: Corpora, Alignment, and Bias. CoRR (2024)
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 (2024)
Zihan Qiu, Zeyu Huang, Youcheng Huang, Jie Fu
Empirical Study on Updating Key-Value Memories in Transformer Feed-forward Layers. Tiny Papers @ ICLR (2024)
Zihan Qiu, Zeyu Huang, Jie Fu
Unlocking Emergent Modularity in Large Language Models. NAACL-HLT (2024)
Haoze Wu, Zihan Qiu, Zili Wang, Hang Zhao, Jie Fu
GW-MoE: Resolving Uncertainty in MoE Router with Global Workspace Theory. CoRR (2024)
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)
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 (2024)
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 (2024)
Zihan Qiu, Zeyu Huang, Youcheng Huang, Jie Fu
Empirical Study on Updating Key-Value Memories in Transformer Feed-forward Layers. CoRR (2024)
Ka Man Lo, Zeyu Huang, Zihan Qiu, Zili Wang, Jie Fu
A Closer Look into Mixture-of-Experts in Large Language Models. CoRR (2024)
Zihan Qiu, Zeyu Huang, Jie Fu
Emergent Mixture-of-Experts: Can Dense Pre-trained Transformers Benefit from Emergent Modular Structures? CoRR (2023)
Zihan Qiu, Zhen Liu, Shuicheng Yan, Shanghang Zhang, Jie Fu
Heterogenous Memory Augmented Neural Networks. CoRR (2023)
Jialong Wu, Haixu Wu, Zihan Qiu, Jianmin Wang, Mingsheng Long
Supported Policy Optimization for Offline Reinforcement Learning. CoRR (2022)
Jialong Wu, Haixu Wu, Zihan Qiu, Jianmin Wang, Mingsheng Long
Supported Policy Optimization for Offline Reinforcement Learning. NeurIPS (2022)
Yu Lai, Liantao Lan, Rui Liang, Li Huang, Zihan Qiu, Yong Tang
A University Portrait System Incorporating Academic Social Network. ChineseCSCW (2) (2021)
Yongxu Long, Zihan Qiu, Dongyang Zheng, Zhengyang Wu, Jianguo Li, Yong Tang
ResConvE: Deeper Convolution-Based Knowledge Graph Embeddings. ChineseCSCW (2) (2021)
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)
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)