The Role of Deconfounding in Meta-learning. - Yinjie Jiang; Zhengyu Chen 001; Kun Kuang; Luotian Yuan; Xinhai Ye; Zhihua Wang 008; Fei Wu 001; Ying Wei 001 (ICML, 2022)

Exploring Label Probability Sequence to Robustly Learn Deep Convolutional Neural Networks for Road Extraction With Noisy Datasets. - Panle Li; Xiaohui He 001; Mengjia Qiao; Xijie Cheng; Jiamian Li; Xiaoyu Guo; Tao Zhou; Dingjun Song; Mingyang Chen; Disheng Miao; Yinjie Jiang; Zhihui Tian (IEEE Trans. Geosci. Remote. Sens., 2022)

Learning Chemical Rules of Retrosynthesis with Pre-training. - Yinjie Jiang; Ying Wei 001; Fei Wu 001; Zhengxing Huang; Kun Kuang; Zhihua Wang 008 (AAAI, 2023)

Prompt Tuning for Item Cold-start Recommendation. - Yuezihan Jiang; Gaode Chen; Wenhan Zhang 004; Jingchi Wang; Yinjie Jiang; Qi Zhang 010; Jingjian Lin; Peng Jiang 002; Kaigui Bian (RecSys, 2024)

Online Item Cold-Start Recommendation with Popularity-Aware Meta-Learning. - Yunze Luo; Yuezihan Jiang; Yinjie Jiang; Gaode Chen; Jingchi Wang; Kaigui Bian; Peiyi Li 008; Qi Zhang 010 (KDD (1), 2025)

A Cold-start Recommendation System at Kuaishou Designed from the Short-video Perspective. - Gaode Chen; Ruina Sun; Yinjie Jiang; Tianxiang Li; Yinlong Dai; Qifan Shi; Xiaojie Qin; Jialong Fu; Piaoyi Chen; Ronggeng Huang; Na Li; Qi Zhang 010; et al. (WWW (Companion Volume), 2025)