A University Portrait System Incorporating Academic Social Network. - Yu Lai; Liantao Lan; Rui Liang; Li Huang; Zihan Qiu; Yong Tang (ChineseCSCW (2), 2021)

ResConvE: Deeper Convolution-Based Knowledge Graph Embeddings. - Yongxu Long; Zihan Qiu; Dongyang Zheng; Zhengyang Wu 001; Jianguo Li; Yong Tang 001 (ChineseCSCW (2), 2021)

Academic Article Classification Algorithm Based on Pre-trained Model and Keyword Extraction. - Zekai Zhou; Dongyang Zheng; Zihan Qiu; Ronghua Lin; Zhengyang Wu 001; Chengzhe Yuan (ChineseCSCW (2), 2021)

Detection of Advertising Users Based on K-SMOTE and Ensemble Learning. - Zihan Qiu; Zekai Zhou; Yongxu Long; Chang Ji; Jianguo Li; Yong Tang 001 (HCC, 2021)

Supported Policy Optimization for Offline Reinforcement Learning. - Jialong Wu 001; Haixu Wu; Zihan Qiu; Jianmin Wang 001; Mingsheng Long (NeurIPS, 2022)

Emergent Mixture-of-Experts: Can Dense Pre-trained Transformers Benefit from Emergent Modular Structures? - Zihan Qiu; Zeyu Huang; Jie Fu 001 (CoRR, 2023)

Heterogenous Memory Augmented Neural Networks. - Zihan Qiu; Zhen Liu; Shuicheng Yan; Shanghang Zhang; Jie Fu 001 (CoRR, 2023)

HyperMoE: Towards Better Mixture of Experts via Transferring Among Experts. - Hao Zhao; Zihan Qiu; Huijia Wu; Zili Wang; Zhaofeng He; Jie Fu 001 (ACL (1), 2024)

Unlocking Continual Learning Abilities in Language Models. - Wenyu Du; Shuang Cheng; Tongxu Luo; Zihan Qiu; Zeyu Huang; Ka Chun Cheung; Reynold Cheng; Jie Fu 001 (EMNLP (Findings), 2024)

Empirical Study on Updating Key-Value Memories in Transformer Feed-forward Layers. - Zihan Qiu; Zeyu Huang; Youcheng Huang; Jie Fu 001 (Tiny Papers @ ICLR, 2024)

Unlocking Emergent Modularity in Large Language Models. - Zihan Qiu; Zeyu Huang; Jie Fu 001 (NAACL-HLT, 2024)

Stacking Your Transformers: A Closer Look at Model Growth for Efficient LLM Pre-Training. - Wenyu Du; Tongxu Luo; Zihan Qiu; Zeyu Huang; Yikang Shen; Reynold Cheng; Yike Guo; Jie Fu 001 (NeurIPS, 2024)

ValueCSV: Evaluating Core Socialist Values Understanding in Large Language Models. - Yuemei Xu; Ling Hu; Zihan Qiu (NLPCC (4), 2024)

DSIFNet: Implicit feature network for nasal cavity and vestibule segmentation from 3D head CT. - Yi Lu; Hongjian Gao; Jikuan Qiu; Zihan Qiu; Junxiu Liu; Xiangzhi Bai (Comput. Medical Imaging Graph., 2024)

HyperMoE: Paying Attention to Unselected Experts in Mixture of Experts via Dynamic Transfer. - Hao Zhao; Zihan Qiu; Huijia Wu; Zili Wang; Zhaofeng He; Jie Fu 001 (CoRR, 2024)

A Survey on Multilingual Large Language Models: Corpora, Alignment, and Bias. - Yuemei Xu; Ling Hu; Jiayi Zhao; Zihan Qiu; Yuqi Ye; Hanwen Gu (CoRR, 2024)

GW-MoE: Resolving Uncertainty in MoE Router with Global Workspace Theory. - Haoze Wu; Zihan Qiu; Zili Wang; Hang Zhao; Jie Fu 001 (CoRR, 2024)

Reconstructing Global Daily CO2 Emissions via Machine Learning. - 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 (CoRR, 2024)

Qwen2.5 Technical Report. - An Yang; Baosong Yang; Beichen Zhang; Binyuan Hui; Bo Zheng 007; Bowen Yu 002; Chengyuan Li; Dayiheng Liu; Fei Huang 005; Haoran Wei; Huan Lin; Jian Yang 003; et al. (CoRR, 2024)

Video Repurposing from User Generated Content: A Large-scale Dataset and Benchmark. - Yongliang Wu; Wenbo Zhu; Jiawang Cao; Yi Lu; Bozheng Li; Weiheng Chi; Zihan Qiu; Lirian Su; Haolin Zheng; Jay Wu; Xu Yang 021 (AAAI, 2025)

Demons in the Detail: On Implementing Load Balancing Loss for Training Specialized Mixture-of-Expert Models. - Zihan Qiu; Zeyu Huang; Bo Zheng 007; Kaiyue Wen; Zekun Wang; Rui Men; Ivan Titov 001; Dayiheng Liu; Jingren Zhou 001; Junyang Lin (ACL (1), 2025)

Post-hoc Reward Calibration: A Case Study on Length Bias. - Zeyu Huang; Zihan Qiu; Zili Wang; Edoardo M. Ponti; Ivan Titov 001 (ICLR, 2025)

Layerwise Recurrent Router for Mixture-of-Experts. - Zihan Qiu; Zeyu Huang; Shuang Cheng; Yizhi Zhou; Zili Wang; Ivan Titov 001; Jie Fu 001 (ICLR, 2025)

A Closer Look into Mixture-of-Experts in Large Language Models. - Ka Man Lo; Zeyu Huang; Zihan Qiu; Zili Wang; Jie Fu 001 (NAACL (Findings), 2025)

Neo-TKGC: Enhancing Temporal Knowledge Graph Completion with Integrated Node Weights and Future Information. - Zihan Qiu; Xiaoling Zhou; Chunyan An; Qiang Yang 015; Zhixu Li (WSDM, 2025)

Gated Attention for Large Language Models: Non-linearity, Sparsity, and Attention-Sink-Free. - Zihan Qiu; Zekun Wang; Bo Zheng 007; Zeyu Huang; Kaiyue Wen; Songlin Yang; Rui Men; Le Yu; Fei Huang; Suozhi Huang; Dayiheng Liu; Jingren Zhou 001; et al. (CoRR, 2025)

Qwen3 Technical Report. - An Yang; Anfeng Li; Baosong Yang; Beichen Zhang; Binyuan Hui; Bo Zheng 007; Bowen Yu 002; Chang Gao; Chengen Huang; Chenxu Lv; Chujie Zheng; Dayiheng Liu; et al. (CoRR, 2025)

A Controllable Examination for Long-Context Language Models. - Yijun Yang; Zeyu Huang; Wenhao Zhu; Zihan Qiu; Fei Yuan 006; Jeff Z. Pan; Ivan Titov 001 (CoRR, 2025)

Blending Supervised and Reinforcement Fine-Tuning with Prefix Sampling. - Zeyu Huang; Tianhao Cheng; Zihan Qiu; Zili Wang; Yinghui Xu; Edoardo M. Ponti; Ivan Titov 001 (CoRR, 2025)

A survey on multilingual large language models: corpora, alignment, and bias. - Yuemei Xu; Ling Hu; Jiayi Zhao; Zihan Qiu; Kexin Xu; Yuqi Ye; Hanwen Gu (Frontiers Comput. Sci., 2025)