| 2026 | ACL | U-Fold: Dynamic Intent-Aware Context Folding for User-Centric Agents. | Jin Su, Runnan Fang, Yeqiu Li, Xiaobin Wang, Shihao Cai, Pengjun Xie, Ningyu Zhang, Fajie Yuan |
| 2025 | CIKM | Exploring the Upper Limits of Text-Based Collaborative Filtering Using Large Language Models: Discoveries and Insights. | Ruyu Li, Wenhao Deng, Yu Cheng, Zheng Yuan, Jiaqi Zhang, Fajie Yuan |
| 2025 | CIKM | A Content-Driven Micro-Video Recommendation Dataset at Scale. | Yongxin Ni, Yu Cheng, Xiangyan Liu, Junchen Fu, Youhua Li, Xiangnan He, Yongfeng Zhang, Fajie Yuan |
| 2025 | ICCV | LeanVAE: An Ultra-Efficient Reconstruction VAE for Video Diffusion Models. | Yu Cheng, Fajie Yuan |
| 2025 | KDD | Offline Trajectory Optimization for Offline Reinforcement Learning. | Ziqi Zhao, Zhaochun Ren, Liu Yang, Yunsen Liang, Fajie Yuan, Pengjie Ren, Zhumin Chen, Jun Ma, Xin Xin |
| 2024 | APWEB | TransRec: Learning Transferable Recommendation from Mixture-of-Modality Feedback. | Jie Wang, Fajie Yuan, Mingyue Cheng, Joemon M. Jose, Chenyun Yu, Beibei Kong, Zhijin Wang, Bo Hu, Zang Li |
| 2024 | DASFAA | Empowering Sequential Recommendation from Collaborative Signals and Semantic Relatedness. | Mingyue Cheng, Hao Zhang, Qi Liu, Fajie Yuan, Zhi Li, Zhenya Huang, Enhong Chen, Jun Zhou, Longfei Li |
| 2024 | ICDE | Multi-Modality is All You Need for Transferable Recommender Systems. | Youhua Li, Hanwen Du, Yongxin Ni, Pengpeng Zhao, Qi Guo, Fajie Yuan, Xiaofang Zhou |
| 2024 | ICLR | SaProt: Protein Language Modeling with Structure-aware Vocabulary. | Jin Su, Chenchen Han, Yuyang Zhou, Junjie Shan, Xibin Zhou, Fajie Yuan |
| 2024 | SIGIR | Breaking the Length Barrier: LLM-Enhanced CTR Prediction in Long Textual User Behaviors. | Binzong Geng, Zhaoxin Huan, Xiaolu Zhang, Yong He, Liang Zhang, Fajie Yuan, Jun Zhou, Linjian Mo |
| 2024 | SIGIR | Exploring Multi-Scenario Multi-Modal CTR Prediction with a Large Scale Dataset. | Zhaoxin Huan, Ke Ding, Ang Li, Xiaolu Zhang, Xu Min, Yong He, Liang Zhang, Jun Zhou, Linjian Mo, Jinjie Gu, Zhongyi Liu, Wenliang Zhong, Guannan Zhang, Chenliang Li, Fajie Yuan |
| 2024 | WSDM | Exploring Adapter-based Transfer Learning for Recommender Systems: Empirical Studies and Practical Insights. | Junchen Fu, Fajie Yuan, Yu Song, Zheng Yuan, Mingyue Cheng, Shenghui Cheng, Jiaqi Zhang, Jie Wang, Yunzhu Pan |
| 2024 | SDM | An Image Dataset for Benchmarking Recommender Systems with Raw Pixels. | Yu Cheng, Yunzhu Pan, Jiaqi Zhang, Yongxin Ni, Aixin Sun, Fajie Yuan |
| 2023 | SIGIR | Where to Go Next for Recommender Systems? ID- vs. Modality-based Recommender Models Revisited. | Zheng Yuan, Fajie Yuan, Yu Song, Youhua Li, Junchen Fu, Fei Yang, Yunzhu Pan, Yongxin Ni |
| 2022 | SIGIR | Enhancing Top-N Item Recommendations by Peer Collaboration. | Yang Sun, Fajie Yuan, Min Yang, Alexandros Karatzoglou, Li Shen, Xiaoyan Zhao |
| 2021 | AAAI | A User-Adaptive Layer Selection Framework for Very Deep Sequential Recommender Models. | Lei Chen, Fajie Yuan, Jiaxi Yang, Xiang Ao, Chengming Li, Min Yang |
| 2021 | ACL | Continual Learning for Task-oriented Dialogue System with Iterative Network Pruning, Expanding and Masking. | Binzong Geng, Fajie Yuan, Qiancheng Xu, Ying Shen, Ruifeng Xu, Min Yang |
| 2021 | ICDM | Learning Transferable User Representations with Sequential Behaviors via Contrastive Pre-training. | Mingyue Cheng, Fajie Yuan, Qi Liu, Xin Xin, Enhong Chen |
| 2021 | SIGIR | Learning Recommender Systems with Implicit Feedback via Soft Target Enhancement. | Mingyue Cheng, Fajie Yuan, Qi Liu, Shenyang Ge, Zhi Li, Runlong Yu, Defu Lian, Senchao Yuan, Enhong Chen |
| 2021 | SIGIR | Iterative Network Pruning with Uncertainty Regularization for Lifelong Sentiment Classification. | Binzong Geng, Min Yang, Fajie Yuan, Shupeng Wang, Xiang Ao, Ruifeng Xu |
| 2021 | SIGIR | StackRec: Efficient Training of Very Deep Sequential Recommender Models by Iterative Stacking. | Jiachun Wang, Fajie Yuan, Jian Chen, Qingyao Wu, Min Yang, Yang Sun, Guoxiao Zhang |
| 2021 | SIGIR | One Person, One Model, One World: Learning Continual User Representation without Forgetting. | Fajie Yuan, Guoxiao Zhang, Alexandros Karatzoglou, Joemon M. Jose, Beibei Kong, Yudong Li |
| 2020 | WWW | Future Data Helps Training: Modeling Future Contexts for Session-based Recommendation. | Fajie Yuan, Xiangnan He, Haochuan Jiang, Guibing Guo, Jian Xiong, Zhezhao Xu, Yilin Xiong |
| 2020 | SIGIR | A Generic Network Compression Framework for Sequential Recommender Systems. | Yang Sun, Fajie Yuan, Min Yang, Guoao Wei, Zhou Zhao, Duo Liu |
| 2020 | SIGIR | Parameter-Efficient Transfer from Sequential Behaviors for User Modeling and Recommendation. | Fajie Yuan, Xiangnan He, Alexandros Karatzoglou, Liguang Zhang |
| 2019 | IJCAI | Dynamic Item Block and Prediction Enhancing Block for Sequential Recommendation. | Guibing Guo, Shichang Ouyang, Xiaodong He, Fajie Yuan, Xiaohua Liu |
| 2019 | WSDM | A Simple Convolutional Generative Network for Next Item Recommendation. | Fajie Yuan, Alexandros Karatzoglou, Ioannis Arapakis, Joemon M. Jose, Xiangnan He |
| 2018 | AAAI | VSE-ens: Visual-Semantic Embeddings with Efficient Negative Sampling. | Guibing Guo, Songlin Zhai, Fajie Yuan, Yuan Liu, Xingwei Wang |
| 2018 | ACL | Batch IS NOT Heavy: Learning Word Representations From All Samples. | Xin Xin, Fajie Yuan, Xiangnan He, Joemon M. Jose |
| 2018 | IJCAI | Approximating Word Ranking and Negative Sampling for Word Embedding. | Guibing Guo, Shichang Ouyang, Fajie Yuan, Xingwei Wang |
| 2018 | UAI | f | Fajie Yuan, Xin Xin, Xiangnan He, Guibing Guo, Weinan Zhang, Tat-Seng Chua, Joemon M. Jose |
| 2018 | WSDM | Improving Negative Sampling for Word Representation using Self-embedded Features. | Long Chen, Fajie Yuan, Joemon M. Jose, Weinan Zhang |
| 2017 | ECIR | LTRo: Learning to Route Queries in Clustered P2P IR. | Rami Suleiman Alkhawaldeh, Deepak P, Joemon M. Jose, Fajie Yuan |
| 2017 | IUI | BoostFM: Boosted Factorization Machines for Top-N Feature-based Recommendation. | Fajie Yuan, Guibing Guo, Joemon M. Jose, Long Chen, Haitao Yu, Weinan Zhang |
| 2017 | WWW | A Semantic Graph-Based Approach for Mining Common Topics from Multiple Asynchronous Text Streams. | Long Chen, Joemon M. Jose, Haitao Yu, Fajie Yuan |
| 2017 | WSDM | A Concise Integer Linear Programming Formulation for Implicit Search Result Diversification. | Haitao Yu, Adam Jatowt, Roi Blanco, Hideo Joho, Joemon M. Jose, Long Chen, Fajie Yuan |
| 2016 | CIKM | LambdaFM: Learning Optimal Ranking with Factorization Machines Using Lambda Surrogates. | Fajie Yuan, Guibing Guo, Joemon M. Jose, Long Chen, Haitao Yu, Weinan Zhang |
| 2016 | ECIR | Probabilistic Topic Modelling with Semantic Graph. | Long Chen, Joemon M. Jose, Haitao Yu, Fajie Yuan, Huaizhi Zhang |
| 2016 | ICTAI | Joint Geo-Spatial Preference and Pairwise Ranking for Point-of-Interest Recommendation. | Fajie Yuan, Joemon M. Jose, Guibing Guo, Long Chen, Haitao Yu, Rami Suleiman Alkhawaldeh |
| 2016 | WISE | Optimizing Factorization Machines for Top-N Context-Aware Recommendations. | Fajie Yuan, Guibing Guo, Joemon M. Jose, Long Chen, Haitao Yu, Weinan Zhang |
| 2016 | WSDM | A Semantic Graph based Topic Model for Question Retrieval in Community Question Answering. | Long Chen, Joemon M. Jose, Haitao Yu, Fajie Yuan, Dell Zhang |