Shao, Jie

37 publications

AAAI 2025 AdaDiff: Adaptive Step Selection for Fast Diffusion Models Hui Zhang, Zuxuan Wu, Zhen Xing, Jie Shao, Yu-Gang Jiang

CVPR 2025 BlockDance: Reuse Structurally Similar Spatio-Temporal Features to Accelerate Diffusion Transformers Hui Zhang, Tingwei Gao, Jie Shao, Zuxuan Wu

ICCV 2025 CreatiLayout: Siamese Multimodal Diffusion Transformer for Creative Layout-to-Image Generation Hui Zhang, Dexiang Hong, Yitong Wang, Jie Shao, Xinglong Wu, Zuxuan Wu, Yu-Gang Jiang

ICML 2025 Decomposition of Graphic Design with Unified Multimodal Model Hui Nie, Zhao Zhang, Yutao Cheng, Maoke Yang, Gonglei Shi, Qingsong Xie, Jie Shao, Xinglong Wu

AAAI 2025 EWMoE: An Effective Model for Global Weather Forecasting with Mixture-of-Experts Lihao Gan, Xin Man, Chenghong Zhang, Jie Shao

AAAI 2025 Enhancing Online Reinforcement Learning with Meta-Learned Objective from Offline Data Shilong Deng, Zetao Zheng, Hongcai He, Paul Weng, Jie Shao

AAAI 2025 Graphic Design with Large Multimodal Model Yutao Cheng, Zhao Zhang, Maoke Yang, Hui Nie, Chunyuan Li, Xinglong Wu, Jie Shao

ICCV 2025 Memory-Efficient Generative Models via Product Quantization Jie Shao, Hanxiao Zhang, Hao Yu, Jianxin Wu

NeurIPS 2025 NaViL: Rethinking Scaling Properties of Native Multimodal Large Language Models Under Data Constraints Changyao Tian, Hao Li, Gen Luo, Xizhou Zhu, Weijie Su, Hanming Deng, Jinguo Zhu, Jie Shao, Ziran Zhu, Yunpeng Liu, Lewei Lu, Wenhai Wang, Hongsheng Li, Jifeng Dai

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

ICML 2025 Retrieval-Augmented Language Model for Knowledge-Aware Protein Encoding Jiasheng Zhang, Delvin Ce Zhang, Shuang Liang, Zhengpin Li, Zhitao Ying, Jie Shao

CVPR 2025 SynerGen-VL: Towards Synergistic Image Understanding and Generation with Vision Experts and Token Folding Hao Li, Changyao Tian, Jie Shao, Xizhou Zhu, Zhaokai Wang, Jinguo Zhu, Wenhan Dou, Xiaogang Wang, Hongsheng Li, Lewei Lu, Jifeng Dai

ICCV 2025 Training-Free Class Purification for Open-Vocabulary Semantic Segmentation Qi Chen, Lingxiao Yang, Yun Chen, Nailong Zhao, Jianhuang Lai, Jie Shao, Xiaohua Xie

NeurIPS 2025 Who Reasons in the Large Language Models? Jie Shao, Jianxin Wu

AAAI 2024 Abstract and Explore: A Novel Behavioral Metric with Cyclic Dynamics in Reinforcement Learning Anjie Zhu, Peng-Fei Zhang, Ruihong Qiu, Zetao Zheng, Zi Huang, Jie Shao

NeurIPS 2024 DTGB: A Comprehensive Benchmark for Dynamic Text-Attributed Graphs Jiasheng Zhang, Jialin Chen, Menglin Yang, Aosong Feng, Shuang Liang, Jie Shao, Rex Ying

AAAI 2024 Decoupling Meta-Reinforcement Learning with Gaussian Task Contexts and Skills Hongcai He, Anjie Zhu, Shuang Liang, Feiyu Chen, Jie Shao

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

ECML-PKDD 2024 Improving Meta-Learning for Few-Shot Text Classification via Label Propagation Haorui Li, Jie Shao, Xiangqiang Zeng, Hui Xu

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

AAAI 2023 Generalizing Math Word Problem Solvers via Solution Diversification Zhenwen Liang, Jipeng Zhang, Lei Wang, Yan Wang, Jie Shao, Xiangliang Zhang

CVPR 2023 Multivariate, Multi-Frequency and Multimodal: Rethinking Graph Neural Networks for Emotion Recognition in Conversation Feiyu Chen, Jie Shao, Shuyuan Zhu, Heng Tao Shen

ICCV 2021 COOKIE: Contrastive Cross-Modal Knowledge Sharing Pre-Training for Vision-Language Representation Keyu Wen, Jin Xia, Yuanyuan Huang, Linyang Li, Jiayan Xu, Jie Shao

ICCV 2021 Contrast and Order Representations for Video Self-Supervised Learning Kai Hu, Jie Shao, Yuan Liu, Bhiksha Raj, Marios Savvides, Zhiqiang Shen

ICCV 2021 Mining Contextual Information Beyond Image for Semantic Segmentation Zhenchao Jin, Tao Gong, Dongdong Yu, Qi Chu, Jian Wang, Changhu Wang, Jie Shao

WACV 2021 Temporal Context Aggregation for Video Retrieval with Contrastive Learning Jie Shao, Xin Wen, Bingchen Zhao, Xiangyang Xue

ICML 2021 Towards Better Laplacian Representation in Reinforcement Learning with Generalized Graph Drawing Kaixin Wang, Kuangqi Zhou, Qixin Zhang, Jie Shao, Bryan Hooi, Jiashi Feng

IJCAI 2020 Exploring Parameter Space with Structured Noise for Meta-Reinforcement Learning Hui Xu, Chong Zhang, Jiaxing Wang, Deqiang Ouyang, Yu Zheng, Jie Shao

NeurIPS 2020 Improving Generalization in Reinforcement Learning with Mixture Regularization Kaixin Wang, Bingyi Kang, Jie Shao, Jiashi Feng

NeurIPS 2020 Is Normalization Indispensable for Training Deep Neural Network? Jie Shao, Kai Hu, Changhu Wang, Xiangyang Xue, Bhiksha Raj

IJCAI 2020 Teacher-Student Networks with Multiple Decoders for Solving Math Word Problem Jipeng Zhang, Roy Ka-Wei Lee, Ee-Peng Lim, Wei Qin, Lei Wang, Jie Shao, Qianru Sun

ICCVW 2019 Temporal Feature Augmented Network for Video Instance Segmentation Minghui Dong, Jian Wang, Yuanyuan Huang, Dongdong Yu, Kai Su, Kaihui Zhou, Jie Shao, Shiping Wen, Changhu Wang

ICCVW 2019 Towards Good Practices for Video Object Segmentation Dongdong Yu, Kai Su, Hengkai Guo, Jian Wang, Kaihui Zhou, Yuanyuan Huang, Minghui Dong, Jie Shao, Changhu Wang

ICCVW 2019 Unsupervised Teacher-Student Model for Large-Scale Video Retrieval Dong Liang, Lanfen Lin, Rui Wang, Jie Shao, Changhu Wang, Yen-Wei Chen

AAAI 2017 Event Video Mashup: From Hundreds of Videos to Minutes of Skeleton Lianli Gao, Peng Wang, Jingkuan Song, Zi Huang, Jie Shao, Heng Tao Shen

ICCV 2015 Multiple Granularity Descriptors for Fine-Grained Categorization Dequan Wang, Zhiqiang Shen, Jie Shao, Wei Zhang, Xiangyang Xue, Zheng Zhang

CVPR 2006 BoostMotion: Boosting a Discriminative Similarity Function for Motion Estimation Shaohua Kevin Zhou, Bogdan Georgescu, Dorin Comaniciu, Jie Shao