Zhu, Ke

16 publications

AAAI 2025 All You Need in Knowledge Distillation Is a Tailored Coordinate System Junjie Zhou, Ke Zhu, Jianxin Wu

ICML 2025 AlphaQCM: Alpha Discovery in Finance with Distributional Reinforcement Learning Zhoufan Zhu, Ke Zhu

CVPR 2025 Continual SFT Matches Multimodal RLHF with Negative Supervision Ke Zhu, Yu Wang, Yanpeng Sun, Qiang Chen, Jiangjiang Liu, Gang Zhang, Jingdong Wang

ICML 2025 Doubly Robust Fusion of Many Treatments for Policy Learning Ke Zhu, Jianing Chu, Ilya Lipkovich, Wenyu Ye, Shu Yang

ICML 2025 Enhancing Statistical Validity and Power in Hybrid Controlled Trials: A Randomization Inference Approach with Conformal Selective Borrowing Ke Zhu, Shu Yang, Xiaofei Wang

CVPR 2025 Quantization Without Tears Minghao Fu, Hao Yu, Jie Shao, Junjie Zhou, Ke Zhu, Jianxin Wu

AAAI 2024 DTL: Disentangled Transfer Learning for Visual Recognition Minghao Fu, Ke Zhu, Jianxin Wu

NeurIPS 2024 DiffuLT: Diffusion for Long-Tail Recognition Without External Knowledge Jie Shao, Ke Zhu, Hanxiao Zhang, Jianxin Wu

CVPR 2024 Instance-Based Max-Margin for Practical Few-Shot Recognition Minghao Fu, Ke Zhu

ECCV 2024 Rectify the Regression Bias in Long-Tailed Object Detection Ke Zhu, Minghao Fu, Jie Shao, Tianyu Liu, Jianxin Wu

ICCV 2023 Multi-Label Self-Supervised Learning with Scene Images Ke Zhu, Minghao Fu, Jianxin Wu

AAAI 2023 Quantized Feature Distillation for Network Quantization Ke Zhu, Yin-Yin He, Jianxin Wu

CLeaR 2022 Info Intervention and Its Causal Calculus Heyang Gong, Ke Zhu

ICCV 2021 Residual Attention: A Simple but Effective Method for Multi-Label Recognition Ke Zhu, Jianxin Wu

ECCV 2010 Comparison of Dense Stereo Using CUDA Ke Zhu, Matthias Butenuth, Pablo d'Angelo

ECCVW 2010 Comparison of Dense Stereo Using CUDA Ke Zhu, Matthias Butenuth, Pablo d'Angelo