Wu, Junru

9 publications

ICLR 2025 RRM: Robust Reward Model Training Mitigates Reward Hacking Tianqi Liu, Wei Xiong, Jie Ren, Lichang Chen, Junru Wu, Rishabh Joshi, Yang Gao, Jiaming Shen, Zhen Qin, Tianhe Yu, Daniel Sohn, Anastasia Makarova, Jeremiah Zhe Liu, Yuan Liu, Bilal Piot, Abe Ittycheriah, Aviral Kumar, Mohammad Saleh

CPAL 2024 Decoding Micromotion in Low-Dimensional Latent Spaces from StyleGAN Qiucheng Wu, Yifan Jiang, Junru Wu, Kai Wang, Eric Zhang, Humphrey Shi, Zhangyang Wang, Shiyu Chang

ICLR 2024 Principled Architecture-Aware Scaling of Hyperparameters Wuyang Chen, Junru Wu, Zhangyang Wang, Boris Hanin

WACV 2022 Auto-X3D: Ultra-Efficient Video Understanding via Finer-Grained Neural Architecture Search Yifan Jiang, Xinyu Gong, Junru Wu, Humphrey Shi, Zhicheng Yan, Zhangyang Wang

NeurIPS 2022 Scaling Multimodal Pre-Training via Cross-Modality Gradient Harmonization Junru Wu, Yi Liang, Feng Han, Hassan Akbari, Zhangyang Wang, Cong Yu

NeurIPS 2021 Stronger NAS with Weaker Predictors Junru Wu, Xiyang Dai, Dongdong Chen, Yinpeng Chen, Mengchen Liu, Ye Yu, Zhangyang Wang, Zicheng Liu, Mei Chen, Lu Yuan

WACV 2020 DAVID: Dual-Attentional Video Deblurring Junru Wu, Xiang Yu, Ding Liu, Manmohan Chandraker, Zhangyang Wang

ICML 2018 Deep K-Means: Re-Training and Parameter Sharing with Harder Cluster Assignments for Compressing Deep Convolutions Junru Wu, Yue Wang, Zhenyu Wu, Zhangyang Wang, Ashok Veeraraghavan, Yingyan Lin

IJCAI 2017 Beyond Universal Saliency: Personalized Saliency Prediction with Multi-Task CNN Yanyu Xu, Nianyi Li, Junru Wu, Jingyi Yu, Shenghua Gao