Lu, Tun

6 publications

ICML 2025 Oracle-MoE: Locality-Preserving Routing in the Oracle Space for Memory-Constrained Large Language Model Inference Jixian Zhou, Fang Dong, Ruijun Huang, Hengjie Cao, Mengyi Chen, Yifeng Yang, Anrui Chen, Mingzhi Dong, Yujiang Wang, Dongsheng Li, David A. Clifton, Qin Lv, Rui Zhu, Chun Zhang, Fan Yang, Tun Lu, Ning Gu, Li Shang

ICLR 2024 Denevil: Towards Deciphering and Navigating the Ethical Values of Large Language Models via Instruction Learning Shitong Duan, Xiaoyuan Yi, Peng Zhang, Tun Lu, Xing Xie, Ning Gu

NeurIPS 2024 Once Read Is Enough: Domain-Specific Pretraining-Free Language Models with Cluster-Guided Sparse Experts for Long-Tail Domain Knowledge Fang Dong, Mengyi Chen, Jixian Zhou, Yubin Shi, Yixuan Chen, Mingzhi Dong, Yujiang Wang, Dongsheng Li, Xiaochen Yang, Rui Zhu, Robert Dick, Qin Lv, Fan Yang, Tun Lu, Ning Gu, Li Shang

NeurIPS 2023 Train Faster, Perform Better: Modular Adaptive Training in Over-Parameterized Models Yubin Shi, Yixuan Chen, Mingzhi Dong, Xiaochen Yang, Dongsheng Li, Yujiang Wang, Robert Dick, Qin Lv, Yingying Zhao, Fan Yang, Tun Lu, Ning Gu, Li Shang

NeurIPS 2022 Parameter-Free Dynamic Graph Embedding for Link Prediction Jiahao Liu, Dongsheng Li, Hansu Gu, Tun Lu, Peng Zhang, Ning Gu

NeurIPS 2017 Mixture-Rank Matrix Approximation for Collaborative Filtering Dongsheng Li, Chao Chen, Wei Liu, Tun Lu, Ning Gu, Stephen Chu