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Kaiyi Ji
9 papers at tracked venues · 9 at CORE A* · active 2024–2026
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Venues
ICLR
×3
ICML
×2
AAAI
×1
ACL
×1
ICCV
×1
NeurIPS
×1
Frequent coauthors
Hao Ban
×4
Yifan Yang
×3
Peiyao Xiao
×2
Shiqian Ma
×2
Qi Zhang
×1
Shaofeng Zou
×1
Gokul Ram Subramani
×1
Minhui Huang
×1
Rohan Sharma
×1
Zhiqiang Xu
×1
Changyou Chen
×1
Zhaofeng Si
×1
Papers
Rethinking Parameter Sharing for LLM Fine-Tuning with Multiple LoRAs
BibTeX ⧉
ACL 2026
·
Hao Ban
,
Kaiyi Ji
First-Order Federated Bilevel Learning
BibTeX ⧉
AAAI 2025
·
Yifan Yang
,
Peiyao Xiao
,
Shiqian Ma
,
Kaiyi Ji
MGDA Converges under Generalized Smoothness, Provably
BibTeX ⧉
ICLR 2025
·
Qi Zhang
,
Peiyao Xiao
,
Shaofeng Zou
,
Kaiyi Ji
SAMO: A Lightweight Sharpness-Aware Approach for Multi-Task Optimization with Joint Global-Local Perturbation
BibTeX ⧉
ICCV 2025
·
Hao Ban
,
Gokul Ram Subramani
,
Kaiyi Ji
Tuning-Free Bilevel Optimization: New Algorithms and Convergence Analysis
BibTeX ⧉
ICLR 2025
·
Yifan Yang
,
Hao Ban
,
Minhui Huang
,
Shiqian Ma
,
Kaiyi Ji
AUC-CL: A Batchsize-Robust Framework for Self-Supervised Contrastive Representation Learning
BibTeX ⧉
ICLR 2024
·
Rohan Sharma
,
Kaiyi Ji
,
Zhiqiang Xu
,
Changyou Chen
Fair Resource Allocation in Multi-Task Learning
BibTeX ⧉
ICML 2024
·
Hao Ban
,
Kaiyi Ji
First-Order Minimax Bilevel Optimization
BibTeX ⧉
NeurIPS 2024
·
Yifan Yang
,
Zhaofeng Si
,
Siwei Lyu
,
Kaiyi Ji
Understanding Forgetting in Continual Learning with Linear Regression
BibTeX ⧉
ICML 2024
·
Meng Ding
,
Kaiyi Ji
,
Di Wang
,
Jinhui Xu