Shan, Jiulong

10 publications

ICLR 2025 TIS-DPO: Token-Level Importance Sampling for Direct Preference Optimization with Estimated Weights Aiwei Liu, Haoping Bai, Zhiyun Lu, Yanchao Sun, Xiang Kong, Xiaoming Simon Wang, Jiulong Shan, Albin Madappally Jose, Xiaojiang Liu, Lijie Wen, Philip S. Yu, Meng Cao

ICLR 2024 Efficient ConvBN Blocks for Transfer Learning and Beyond Kaichao You, Guo Qin, Anchang Bao, Meng Cao, Ping Huang, Jiulong Shan, Mingsheng Long

WACV 2024 Empowering Unsupervised Domain Adaptation with Large-Scale Pre-Trained Vision-Language Models Zhengfeng Lai, Haoping Bai, Haotian Zhang, Xianzhi Du, Jiulong Shan, Yinfei Yang, Chen-Nee Chuah, Meng Cao

NeurIPS 2024 ODGEN: Domain-Specific Object Detection Data Generation with Diffusion Models Jingyuan Zhu, Shiyu Li, Yuxuan Liu, Jian Yuan, Ping Huang, Jiulong Shan, Huimin Ma

ECCV 2024 VeCLIP: Improving CLIP Training via Visual-Enriched Captions Zhengfeng Lai, Haotian Zhang, Bowen Zhang, Wentao Wu, Haoping Bai, Aleksei Timofeev, Xianzhi Du, Zhe Gan, Jiulong Shan, Chen-Nee Chuah, Yinfei Yang, Meng Cao

CVPR 2023 DeSTSeg: Segmentation Guided Denoising Student-Teacher for Anomaly Detection Xuan Zhang, Shiyu Li, Xi Li, Ping Huang, Jiulong Shan, Ting Chen

ICLR 2023 RGI: Robust GAN-Inversion for Mask-Free Image Inpainting and Unsupervised Pixel-Wise Anomaly Detection Shancong Mou, Xiaoyi Gu, Meng Cao, Haoping Bai, Ping Huang, Jiulong Shan, Jianjun Shi

ICLR 2022 Information Gain Propagation: A New Way to Graph Active Learning with Soft Labels Wentao Zhang, Yexin Wang, Zhenbang You, Meng Cao, Ping Huang, Jiulong Shan, Zhi Yang, Bin Cui

NeurIPS 2021 BatchQuant: Quantized-for-All Architecture Search with Robust Quantizer Haoping Bai, Meng Cao, Ping Huang, Jiulong Shan

NeurIPS 2021 RIM: Reliable Influence-Based Active Learning on Graphs Wentao Zhang, Yexin Wang, Zhenbang You, Meng Cao, Ping Huang, Jiulong Shan, Zhi Yang, Bin Cui