Yuan, Fajie

11 publications

ICCV 2025 LeanVAE: An Ultra-Efficient Reconstruction VAE for Video Diffusion Models Yu Cheng, Fajie Yuan

ICLR 2024 SaProt: Protein Language Modeling with Structure-Aware Vocabulary Jin Su, Chenchen Han, Yuyang Zhou, Junjie Shan, Xibin Zhou, Fajie Yuan

NeurIPSW 2023 Scene-Adaptive Knowledge Distillation for Sequential Recommendation via Differentiable Architecture Search Lei Chen, Fajie Yuan, Jiaxi Yang, Chengming Li, Min Yang

NeurIPS 2022 Exploring Evolution-Aware & -free Protein Language Models as Protein Function Predictors Mingyang Hu, Fajie Yuan, Kevin Yang, Fusong Ju, Jin Su, Hui Wang, Fei Yang, Qiuyang Ding

NeurIPSW 2022 Protein Language Model Predicts Mutation Pathogenicity and Clinical Prognosis Xiangling Liu, Xinyu Yang, Linkun Ouyang, Guibing Guo, Jin Su, Ruibin Xi, Ke Yuan, Fajie Yuan

NeurIPS 2022 Tenrec: A Large-Scale Multipurpose Benchmark Dataset for Recommender Systems Guanghu Yuan, Fajie Yuan, Yudong Li, Beibei Kong, Shujie Li, Lei Chen, Min Yang, Chenyun Yu, Bo Hu, Zang Li, Yu Xu, Xiaohu Qie

AAAI 2021 A User-Adaptive Layer Selection Framework for Very Deep Sequential Recommender Models Lei Chen, Fajie Yuan, Jiaxi Yang, Xiang Ao, Chengming Li, Min Yang

IJCAI 2019 Dynamic Item Block and Prediction Enhancing Block for Sequential Recommendation Guibing Guo, Shichang Ouyang, Xiaodong He, Fajie Yuan, Xiaohua Liu

IJCAI 2018 Approximating Word Ranking and Negative Sampling for Word Embedding Guibing Guo, Shichang Ouyang, Fajie Yuan, Xingwei Wang

AAAI 2018 VSE-Ens: Visual-Semantic Embeddings with Efficient Negative Sampling Guibing Guo, Songlin Zhai, Fajie Yuan, Yuan Liu, Xingwei Wang

UAI 2018 fBGD: Learning Embeddings from Positive Unlabeled Data with BGD Fajie Yuan, Xin Xin, Xiangnan He, Guibing Guo, Weinan Zhang, Tat-Seng Chua, Joemon M. Jose