CLIP-MoE: Towards Building Mixture of Experts for CLIP with Diversified Multiplet Upcycling
Published in arxiv, 2024
Authors: Jihai Zhang, Xiaoye Qu, Tong Zhu, Yu Cheng
Publications
You can also find my articles on my Google Scholar profile.
SURf: Teaching Large Vision-Language Models to Selectively Utilize Retrieved Information
Published in EMNLP, 2024
Authors: Jiashuo Sun, Jihai Zhang, Yucheng Zhou, Zhaochen Su, Xiaoye Qu, Yu Cheng
Learning the Unlearned: Mitigating Feature Suppression in Contrastive Learning
Published in ECCV, 2024
Authors: Jihai Zhang, Xiang Lan, Xiaoye Qu, Yu Cheng, Mengling Feng, Bryan Hooi
Birds of a feather trust together: Knowing when to trust a classifier via adaptive neighborhood aggregation
Published in TMLR, 2022
Authors: Miao Xiong, Shen Li, Wenjie Feng, Ailin Deng, Jihai Zhang, Bryan Hooi
EatingTrak: Detecting Fine-grained Eating Moments in the Wild Using a Wrist-mounted IMU
Published in ACM HCI, 2022
Authors: Ruidong Zhang, Jihai Zhang, Nitish Gade, Peng Cao, Seyun Kim, Junchi Yan, Cheng Zhang
Learning generative RNN-ODE for collaborative time-series and event sequence forecasting
Published in TKDE, 2022
Authors: Longyuan Li, Junchi Yan, Yunhao Zhang, Jihai Zhang, Jie Bao, Yaohui Jin, Xiaokang Yang
Synergetic learning of heterogeneous temporal sequences for multi-horizon probabilistic forecasting
Published in AAAI, 2021
Authors: Longyuan Li, Jihai Zhang, Junchi Yan, Yaohui Jin, Yunhao Zhang, Yanjie Duan, Guangjian Tian