| 2026 | SIGIR | RoTE: Coarse-to-Fine Multi-Level Rotary Time Embedding for Sequential Recommendation. | Haolin Zhang, Longtao Xiao, Guohao Cai, Ruixuan Li, Xiu Li |
| 2025 | ACL | Expectation Confirmation Preference Optimization for Multi-Turn Conversational Recommendation Agent. | Xueyang Feng, Jingsen Zhang, Jiakai Tang, Wei Li, Guohao Cai, Xu Chen, Quanyu Dai, Yue Zhu, Zhenhua Dong |
| 2025 | EMNLP | ICG: Improving Cover Image Generation via MLLM-based Prompting and Personalized Preference Alignment. | Zhipeng Bian, Jieming Zhu, Qijiong Liu, Wang Lin, Guohao Cai, Zhaocheng Du, Jiacheng Sun, Zhou Zhao, Zhenhua Dong |
| 2025 | IJCAI | Breaking the Self-Evaluation Barrier: Reinforced Neuro-Symbolic Planning with Large Language Models. | Jie-Jing Shao, Hong-Jie You, Guohao Cai, Quanyu Dai, Zhenhua Dong, Lan-Zhe Guo |
| 2025 | WWW | A Contextual-Aware Position Encoding for Sequential Recommendation. | Jun Yuan, Guohao Cai, Zhenhua Dong |
| 2024 | CIKM | EASE: Learning Lightweight Semantic Feature Adapters from Large Language Models for CTR Prediction. | Zexuan Qiu, Jieming Zhu, Yankai Chen, Guohao Cai, Weiwen Liu, Zhenhua Dong, Irwin King |
| 2024 | ICDM | A Parameter Update Balancing Algorithm for Multi-task Ranking Models in Recommendation Systems. | Jun Yuan, Guohao Cai, Zhenghua Dong |
| 2024 | KDD | Counteracting Duration Bias in Video Recommendation via Counterfactual Watch Time. | Haiyuan Zhao, Guohao Cai, Jieming Zhu, Zhenhua Dong, Jun Xu, Ji-Rong Wen |
| 2024 | RecSys | Enhancing News Recommendation with Real-Time Feedback and Generative Sequence Modeling. | Qi Zhang, Jieming Zhu, Jiansheng Sun, Guohao Cai, Ruining Yu, Bangzheng He, Liangbi Li |
| 2024 | WWW | Recall-Augmented Ranking: Enhancing Click-Through Rate Prediction Accuracy with Cross-Stage Data. | Junjie Huang, Guohao Cai, Jieming Zhu, Zhenhua Dong, Ruiming Tang, Weinan Zhang, Yong Yu |
| 2023 | AAAI | FinalMLP: An Enhanced Two-Stream MLP Model for CTR Prediction. | Kelong Mao, Jieming Zhu, Liangcai Su, Guohao Cai, Yuru Li, Zhenhua Dong |
| 2023 | KDD | ReLoop2: Building Self-Adaptive Recommendation Models via Responsive Error Compensation Loop. | Jieming Zhu, Guohao Cai, Junjie Huang, Zhenhua Dong, Ruiming Tang, Weinan Zhang |
| 2023 | RecSys | Uncovering User Interest from Biased and Noised Watch Time in Video Recommendation. | Haiyuan Zhao, Lei Zhang, Jun Xu, Guohao Cai, Zhenhua Dong, Ji-Rong Wen |
| 2023 | SIGIR | FINAL: Factorized Interaction Layer for CTR Prediction. | Jieming Zhu, Qinglin Jia, Guohao Cai, Quanyu Dai, Jingjie Li, Zhenhua Dong, Ruiming Tang, Rui Zhang |
| 2023 | WSDM | Separating Examination and Trust Bias from Click Predictions for Unbiased Relevance Ranking. | Haiyuan Zhao, Jun Xu, Xiao Zhang, Guohao Cai, Zhenhua Dong, Ji-Rong Wen |
| 2022 | ACL | MINER: Multi-Interest Matching Network for News Recommendation. | Jian Li, Jieming Zhu, Qiwei Bi, Guohao Cai, Lifeng Shang, Zhenhua Dong, Xin Jiang, Qun Liu |
| 2022 | WWW | PEAR: Personalized Re-ranking with Contextualized Transformer for Recommendation. | Yi Li, Jieming Zhu, Weiwen Liu, Liangcai Su, Guohao Cai, Qi Zhang, Ruiming Tang, Xi Xiao, Xiuqiang He |
| 2022 | SIGIR | ReLoop: A Self-Correction Continual Learning Loop for Recommender Systems. | Guohao Cai, Jieming Zhu, Quanyu Dai, Zhenhua Dong, Xiuqiang He, Ruiming Tang, Rui Zhang |
| 2022 | SIGIR | BARS: Towards Open Benchmarking for Recommender Systems. | Jieming Zhu, Quanyu Dai, Liangcai Su, Rong Ma, Jinyang Liu, Guohao Cai, Xi Xiao, Rui Zhang |
| 2021 | AAAI | Noninvasive Self-attention for Side Information Fusion in Sequential Recommendation. | Chang Liu, Xiaoguang Li, Guohao Cai, Zhenhua Dong, Hong Zhu, Lifeng Shang |
| 2021 | MDM | Dual Sequence Transformer for Query-based Interactive Recommendation. | Guohao Cai, Xiaoguang Li, Quanyu Dai, Gang Wang, Zhenhua Dong, Chaoliang Zhang, Xiuqiang He, Lifeng Shang |
| 2020 | RecSys | Counterfactual learning for recommender system. | Zhenhua Dong, Hong Zhu, Pengxiang Cheng, Xinhua Feng, Guohao Cai, Xiuqiang He, Jun Xu, Jirong Wen |
| 2018 | ICIP | Feature Selection via Incorporating Stiefel Manifold in Relaxed K-Means. | Guohao Cai, Rui Zhang, Feiping Nie, Xuelong Li |
| 2017 | AAAI | Multi-View Clustering and Semi-Supervised Classification with Adaptive Neighbours. | Feiping Nie, Guohao Cai, Xuelong Li |