Jiang, Jie

20 publications

ICML 2025 From Feature Interaction to Feature Generation: A Generative Paradigm of CTR Prediction Models Mingjia Yin, Junwei Pan, Hao Wang, Ximei Wang, Shangyu Zhang, Jie Jiang, Defu Lian, Enhong Chen

ICLR 2025 Long-Sequence Recommendation Models Need Decoupled Embeddings Ningya Feng, Junwei Pan, Jialong Wu, Baixu Chen, Ximei Wang, QianLi, Xian Hu, Jie Jiang, Mingsheng Long

ICCV 2025 MaterialMVP: Illumination-Invariant Material Generation via Multi-View PBR Diffusion Zebin He, Mingxin Yang, Shuhui Yang, Yixuan Tang, Tao Wang, Kaihao Zhang, Guanying Chen, Yuhong Liu, Jie Jiang, Chunchao Guo, Wenhan Luo

AAAI 2025 PointCFormer: A Relation-Based Progressive Feature Extraction Network for Point Cloud Completion Yi Zhong, Weize Quan, Dong-Ming Yan, Jie Jiang, Yingmei Wei

ICCV 2025 RomanTex: Decoupling 3D-Aware Rotary Positional Embedded Multi-Attention Network for Texture Synthesis Yifei Feng, Mingxin Yang, Shuhui Yang, Sheng Zhang, Jiaao Yu, Zibo Zhao, Yuhong Liu, Jie Jiang, Chunchao Guo

ICML 2025 Scaling Laws for Floating–Point Quantization Training Xingwu Sun, Shuaipeng Li, Ruobing Xie, Weidong Han, Kan Wu, Zhen Yang, Yixing Li, An Wang, Shuai Li, Jinbao Xue, Yu Cheng, Yangyu Tao, Zhanhui Kang, Cheng-Zhong Xu, Di Wang, Jie Jiang

CVPR 2025 Scaling Mesh Generation via Compressive Tokenization Haohan Weng, Zibo Zhao, Biwen Lei, Xianghui Yang, Jian Liu, Zeqiang Lai, Zhuo Chen, Yuhong Liu, Jie Jiang, Chunchao Guo, Tong Zhang, Shenghua Gao, C.L. Philip Chen

ICCV 2025 Unleashing Vecset Diffusion Model for Fast Shape Generation Zeqiang Lai, Yunfei Zhao, Zibo Zhao, Haolin Liu, Fuyun Wang, Huiwen Shi, Xianghui Yang, Qingxiang Lin, Jingwei Huang, Yuhong Liu, Jie Jiang, Chunchao Guo, Xiangyu Yue

AAAI 2024 Decoupled Training: Return of Frustratingly Easy Multi-Domain Learning Ximei Wang, Junwei Pan, Xingzhuo Guo, Dapeng Liu, Jie Jiang

CVPR 2024 MRFS: Mutually Reinforcing Image Fusion and Segmentation Hao Zhang, Xuhui Zuo, Jie Jiang, Chunchao Guo, Jiayi Ma

ICML 2024 On the Embedding Collapse When Scaling up Recommendation Models Xingzhuo Guo, Junwei Pan, Ximei Wang, Baixu Chen, Jie Jiang, Mingsheng Long

AAAI 2024 STEM: Unleashing the Power of Embeddings for Multi-Task Recommendation Liangcai Su, Junwei Pan, Ximei Wang, Xi Xiao, Shijie Quan, Xihua Chen, Jie Jiang

AAAI 2023 AdaTask: A Task-Aware Adaptive Learning Rate Approach to Multi-Task Learning Enneng Yang, Junwei Pan, Ximei Wang, Haibin Yu, Li Shen, Xihua Chen, Lei Xiao, Jie Jiang, Guibing Guo

NeurIPS 2023 ForkMerge: Mitigating Negative Transfer in Auxiliary-Task Learning Junguang Jiang, Baixu Chen, Junwei Pan, Ximei Wang, Dapeng Liu, Jie Jiang, Mingsheng Long

CVPR 2023 Seeing What You Miss: Vision-Language Pre-Training with Semantic Completion Learning Yatai Ji, Rongcheng Tu, Jie Jiang, Weijie Kong, Chengfei Cai, Wenzhe Zhao, Hongfa Wang, Yujiu Yang, Wei Liu

AAAI 2023 Towards In-Distribution Compatible Out-of-Distribution Detection Boxi Wu, Jie Jiang, Haidong Ren, Zifan Du, Wenxiao Wang, Zhifeng Li, Deng Cai, Xiaofei He, Binbin Lin, Wei Liu

CVPR 2023 VLPD: Context-Aware Pedestrian Detection via Vision-Language Semantic Self-Supervision Mengyin Liu, Jie Jiang, Chao Zhu, Xu-Cheng Yin

IJCAI 2020 Non-Autoregressive Image Captioning with Counterfactuals-Critical Multi-Agent Learning Longteng Guo, Jing Liu, Xinxin Zhu, Xingjian He, Jie Jiang, Hanqing Lu

IJCAI 2016 Collaborative Evolution for User Profiling in Recommender Systems Zhongqi Lu, Sinno Jialin Pan, Yong Li, Jie Jiang, Qiang Yang

IJCAI 2015 Image Feature Learning for Cold Start Problem in Display Advertising Kaixiang Mo, Bo Liu, Lei Xiao, Yong Li, Jie Jiang