Synergetic Learning of Heterogeneous Temporal Sequences for Multi-Horizon Probabilistic Forecasting. - Longyuan Li; Jihai Zhang 002; Junchi Yan; Yaohui Jin; Yunhao Zhang; Yanjie Duan; Guangjian Tian (AAAI, 2021)

EatingTrak: Detecting Fine-grained Eating Moments in the Wild Using a Wrist-mounted IMU. - Ruidong Zhang; Jihai Zhang 002; Nitish Gade; Peng Cao; Seyun Kim; Junchi Yan; Cheng Zhang 022 (Proc. ACM Hum. Comput. Interact., 2022)

Birds of a Feather Trust Together: Knowing When to Trust a Classifier via Adaptive Neighborhood Aggregation. - Miao Xiong; Shen Li 004; Wenjie Feng 001; Ailin Deng; Jihai Zhang 002; Bryan Hooi (Trans. Mach. Learn. Res., 2022)

Learning Generative RNN-ODE for Collaborative Time-Series and Event Sequence Forecasting. - Longyuan Li; Junchi Yan; Yunhao Zhang; Jihai Zhang 002; Jie Bao; Yaohui Jin; Xiaokang Yang 001 (IEEE Trans. Knowl. Data Eng., 2023)

Learning the Unlearned: Mitigating Feature Suppression in Contrastive Learning. - Jihai Zhang 002; Xiang Lan 004; Xiaoye Qu; Yu Cheng 001; Mengling Feng; Bryan Hooi (ECCV (83), 2024)

SURf: Teaching Large Vision-Language Models to Selectively Utilize Retrieved Information. - Jiashuo Sun; Jihai Zhang 002; Yucheng Zhou 001; Zhaochen Su; Xiaoye Qu; Yu Cheng 001 (EMNLP, 2024)

CLIP-MoE: Towards Building Mixture of Experts for CLIP with Diversified Multiplet Upcycling. - Jihai Zhang 002; Xiaoye Qu; Tong Zhu 002; Yu Cheng 001 (CoRR, 2024)