Chen, Yizhou

12 publications

CoRL 2024 Differentiable Discrete Elastic Rods for Real-Time Modeling of Deformable Linear Objects Yizhou Chen, Yiting Zhang, Zachary Brei, Tiancheng Zhang, Yuzhen Chen, Julie Wu, Ram Vasudevan

IJCAI 2024 Dynamically Anchored Prompting for Task-Imbalanced Continual Learning Chenxing Hong, Yan Jin, Zhiqi Kang, Yizhou Chen, Mengke Li, Yang Lu, Hanzi Wang

AAAI 2023 Multi-Domain Generalized Graph Meta Learning Mingkai Lin, Wenzhong Li, Ding Li, Yizhou Chen, Guohao Li, Sanglu Lu

NeurIPS 2023 Recurrent Temporal Revision Graph Networks Yizhou Chen, Anxiang Zeng, Qingtao Yu, Kerui Zhang, Cao Yuanpeng, Kangle Wu, Guangda Huzhang, Han Yu, Zhiming Zhou

AISTATS 2022 Near-Optimal Task Selection for Meta-Learning with Mutual Information and Online Variational Bayesian Unlearning Yizhou Chen, Shizhuo Zhang, Bryan Kian Hsiang Low

AAAI 2022 Cosine Model Watermarking Against Ensemble Distillation Laurent Charette, Lingyang Chu, Yizhou Chen, Jian Pei, Lanjun Wang, Yong Zhang

UAI 2022 Neural Ensemble Search via Bayesian Sampling Yao Shu, Yizhou Chen, Zhongxiang Dai, Bryan Kian Hsiang Low

UAI 2022 On Provably Robust Meta-Bayesian Optimization Zhongxiang Dai, Yizhou Chen, Haibin Yu, Bryan Kian Hsiang Low, Patrick Jaillet

CoRL 2022 Visuo-Tactile Transformers for Manipulation Yizhou Chen, Mark Van der Merwe, Andrea Sipos, Nima Fazeli

ICCVW 2021 EdgeFlow: Achieving Practical Interactive Segmentation with Edge-Guided Flow Yuying Hao, Yi Liu, Zewu Wu, Lin Han, Yizhou Chen, Guowei Chen, Lutao Chu, Shiyu Tang, Zhiliang Yu, Zeyu Chen, Baohua Lai

ICML 2020 R2-B2: Recursive Reasoning-Based Bayesian Optimization for No-Regret Learning in Games Zhongxiang Dai, Yizhou Chen, Bryan Kian Hsiang Low, Patrick Jaillet, Teck-Hua Ho

NeurIPS 2019 Implicit Posterior Variational Inference for Deep Gaussian Processes Haibin Yu, Yizhou Chen, Bryan Kian Hsiang Low, Patrick Jaillet, Zhongxiang Dai