Zhang, Weifeng

6 publications

NeurIPS 2025 C-LoRA: Contextual Low-Rank Adaptation for Uncertainty Estimation in Large Language Models Amir Hossein Rahmati, Sanket Jantre, Weifeng Zhang, Yucheng Wang, Byung-Jun Yoon, Nathan Urban, Xiaoning Qian

AAAI 2023 DyCVAE: Learning Dynamic Causal Factors for Non-Stationary Series Domain Generalization (Student Abstract) Weifeng Zhang, Zhiyuan Wang, Kunpeng Zhang, Ting Zhong, Fan Zhou

NeurIPS 2022 Learning Latent Seasonal-Trend Representations for Time Series Forecasting Zhiyuan Wang, Xovee Xu, Weifeng Zhang, Goce Trajcevski, Ting Zhong, Fan Zhou

CVPR 2022 Learning to Affiliate: Mutual Centralized Learning for Few-Shot Classification Yang Liu, Weifeng Zhang, Chao Xiang, Tu Zheng, Deng Cai, Xiaofei He

ICLR 2021 Simple Augmentation Goes a Long Way: ADRL for DNN Quantization Lin Ning, Guoyang Chen, Weifeng Zhang, Xipeng Shen

AAAI 2020 Regularized Training and Tight Certification for Randomized Smoothed Classifier with Provable Robustness Huijie Feng, Chunpeng Wu, Guoyang Chen, Weifeng Zhang, Yang Ning