Yang, Junjie

15 publications

CPAL 2025 Meta ControlNet: Enhancing Task Adaptation via Meta Learning Junjie Yang, Jinze Zhao, Peihao Wang, Zhangyang Wang, Yingbin Liang

ICMLW 2024 A Framework for Differentiable Supervised Graph Prediction Paul Krzakala, Junjie Yang, Rémi Flamary, Florence d'Alché-Buc, Charlotte Laclau, Matthieu Labeau

NeurIPS 2024 Any2Graph: Deep End-to-End Supervised Graph Prediction with an Optimal Transport Loss Paul Krzakala, Junjie Yang, Rémi Flamary, Florence d'Alché-Buc, Charlotte Laclau, Matthieu Labeau

ECML-PKDD 2024 Deep Sketched Output Kernel Regression for Structured Prediction Tamim El Ahmad, Junjie Yang, Pierre Laforgue, Florence d'Alché-Buc

NeurIPSW 2024 Enhancing Generalization in Sparse Mixture of Experts Models: The Case for Increased Expert Activation in Compositional Tasks Jinze Zhao, Junjie Yang, Peihao Wang, Yingbin Liang, Zhangyang Wang

TMLR 2024 Exploiting Edge Features in Graph-Based Learning with Fused Network Gromov-Wasserstein Distance Junjie Yang, Matthieu Labeau, Florence d'Alché-Buc

ICML 2024 SparseTSF: Modeling Long-Term Time Series Forecasting with *1k* Parameters Shengsheng Lin, Weiwei Lin, Wentai Wu, Haojun Chen, Junjie Yang

AISTATS 2023 Learning to Generalize Provably in Learning to Optimize Junjie Yang, Tianlong Chen, Mingkang Zhu, Fengxiang He, Dacheng Tao, Yingbin Liang, Zhangyang Wang

ICLR 2023 M-L2O: Towards Generalizable Learning-to-Optimize by Test-Time Fast Self-Adaptation Junjie Yang, Xuxi Chen, Tianlong Chen, Zhangyang Wang, Yingbin Liang

NeurIPS 2022 APT-36K: A Large-Scale Benchmark for Animal Pose Estimation and Tracking Yuxiang Yang, Junjie Yang, Yufei Xu, Jing Zhang, Long Lan, Dacheng Tao

JMLR 2022 Theoretical Convergence of Multi-Step Model-Agnostic Meta-Learning Kaiyi Ji, Junjie Yang, Yingbin Liang

ICML 2021 Bilevel Optimization: Convergence Analysis and Enhanced Design Kaiyi Ji, Junjie Yang, Yingbin Liang

NeurIPS 2021 Provably Faster Algorithms for Bilevel Optimization Junjie Yang, Kaiyi Ji, Yingbin Liang

AAAI 2021 Retrospective Reader for Machine Reading Comprehension Zhuosheng Zhang, Junjie Yang, Hai Zhao

ICLR 2019 SGD Converges to Global Minimum in Deep Learning via Star-Convex Path Yi Zhou, Junjie Yang, Huishuai Zhang, Yingbin Liang, Vahid Tarokh