Multi-View Clustering and Semi-Supervised Classification with Adaptive Neighbours. - Feiping Nie 001; Guohao Cai; Xuelong Li 001 (AAAI, 2017)

Feature Selection via Incorporating Stiefel Manifold in Relaxed K-Means. - Guohao Cai; Rui Zhang 017; Feiping Nie 001; Xuelong Li 001 (ICIP, 2018)

Auto-Weighted Multi-View Learning for Image Clustering and Semi-Supervised Classification. - Feiping Nie 001; Guohao Cai; Jing Li 009; Xuelong Li 001 (IEEE Trans. Image Process., 2018)

Counterfactual learning for recommender system. - Zhenhua Dong; Hong Zhu 003; Pengxiang Cheng 002; Xinhua Feng; Guohao Cai; Xiuqiang He 001; Jun Xu 001; Jirong Wen (RecSys, 2020)

Noninvasive Self-attention for Side Information Fusion in Sequential Recommendation. - Chang Liu 094; Xiaoguang Li; Guohao Cai; Zhenhua Dong; Hong Zhu 003; Lifeng Shang (AAAI, 2021)

Dual Sequence Transformer for Query-based Interactive Recommendation. - Guohao Cai; Xiaoguang Li; Quanyu Dai; Gang Wang 056; Zhenhua Dong; Chaoliang Zhang; Xiuqiang He 001; Lifeng Shang (MDM, 2021)

Non-invasive Self-attention for Side Information Fusion in Sequential Recommendation. - Chang Liu 094; Xiaoguang Li; Guohao Cai; Zhenhua Dong; Hong Zhu 003; Lifeng Shang (CoRR, 2021)

MINER: Multi-Interest Matching Network for News Recommendation. - Jian Li 054; Jieming Zhu; Qiwei Bi; Guohao Cai; Lifeng Shang; Zhenhua Dong; Xin Jiang 002; Qun Liu 001 (ACL (Findings), 2022)

ReLoop: A Self-Correction Continual Learning Loop for Recommender Systems. - Guohao Cai; Jieming Zhu; Quanyu Dai; Zhenhua Dong; Xiuqiang He 001; Ruiming Tang; Rui Zhang 003 (SIGIR, 2022)

BARS: Towards Open Benchmarking for Recommender Systems. - Jieming Zhu; Quanyu Dai; Liangcai Su; Rong Ma; Jinyang Liu 002; Guohao Cai; Xi Xiao; Rui Zhang 003 (SIGIR, 2022)

PEAR: Personalized Re-ranking with Contextualized Transformer for Recommendation. - Yi Li; Jieming Zhu; Weiwen Liu; Liangcai Su; Guohao Cai; Qi Zhang 001; Ruiming Tang; Xi Xiao; Xiuqiang He 001 (WWW (Companion Volume), 2022)

Debiased Recommendation with User Feature Balancing. - Mengyue Yang; Guohao Cai; Furui Liu; Zhenhua Dong; Xiuqiang He 001; Jianye Hao; Jun Wang 012; Xu Chen 017 (CoRR, 2022)

FinalMLP: An Enhanced Two-Stream MLP Model for CTR Prediction. - Kelong Mao; Jieming Zhu; Liangcai Su; Guohao Cai; Yuru Li; Zhenhua Dong (AAAI, 2023)

ReLoop2: Building Self-Adaptive Recommendation Models via Responsive Error Compensation Loop. - Jieming Zhu; Guohao Cai; Junjie Huang; Zhenhua Dong; Ruiming Tang; Weinan Zhang 001 (KDD, 2023)

Uncovering User Interest from Biased and Noised Watch Time in Video Recommendation. - Haiyuan Zhao; Lei Zhang; Jun Xu 001; Guohao Cai; Zhenhua Dong; Ji-Rong Wen (RecSys, 2023)

Unbiased Top-$k$ Learning to Rank with Causal Likelihood Decomposition. - Haiyuan Zhao; Jun Xu 001; Xiao Zhang 034; Guohao Cai; Zhenhua Dong; Ji-Rong Wen (SIGIR-AP, 2023)

FINAL: Factorized Interaction Layer for CTR Prediction. - Jieming Zhu; Qinglin Jia; Guohao Cai; Quanyu Dai; Jingjie Li; Zhenhua Dong; Ruiming Tang; Rui Zhang 003 (SIGIR, 2023)

Separating Examination and Trust Bias from Click Predictions for Unbiased Relevance Ranking. - Haiyuan Zhao; Jun Xu 001; Xiao Zhang 034; Guohao Cai; Zhenhua Dong; Ji-Rong Wen (WSDM, 2023)

Debiased Recommendation with User Feature Balancing. - Mengyue Yang; Guohao Cai; Furui Liu; Jiarui Jin; Zhenhua Dong; Xiuqiang He 001; Jianye Hao; Weiqi Shao; Jun Wang 012; Xu Chen 017 (ACM Trans. Inf. Syst., 2023)

EASE: Learning Lightweight Semantic Feature Adapters from Large Language Models for CTR Prediction. - Zexuan Qiu; Jieming Zhu; Yankai Chen 001; Guohao Cai; Weiwen Liu; Zhenhua Dong; Irwin King (CIKM, 2024)

A Parameter Update Balancing Algorithm for Multi-task Ranking Models in Recommendation Systems. - Jun Yuan 008; Guohao Cai; Zhenghua Dong (ICDM, 2024)

Counteracting Duration Bias in Video Recommendation via Counterfactual Watch Time. - Haiyuan Zhao; Guohao Cai; Jieming Zhu; Zhenhua Dong; Jun Xu 001; Ji-Rong Wen (KDD, 2024)

Enhancing News Recommendation with Real-Time Feedback and Generative Sequence Modeling. - Qi Zhang 001; Jieming Zhu; Jiansheng Sun; Guohao Cai; Ruining Yu; Bangzheng He; Liangbi Li (RecSys Challenge, 2024)

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 001; Yong Yu 001 (WWW (Companion Volume), 2024)

A Parameter Update Balancing Algorithm for Multi-task Ranking Models in Recommendation Systems. - Jun Yuan 008; Guohao Cai; Zhenhua Dong (CoRR, 2024)

ChinaTravel: A Real-World Benchmark for Language Agents in Chinese Travel Planning. - Jie-Jing Shao; Xiao-Wen Yang; Bo-Wen Zhang; Baizhi Chen; Wen-Da Wei; Guohao Cai; Zhenhua Dong; Lan-Zhe Guo; Yu-feng Li (CoRR, 2024)

Expectation Confirmation Preference Optimization for Multi-Turn Conversational Recommendation Agent. - Xueyang Feng; Jingsen Zhang; Jiakai Tang; Wei Li; Guohao Cai; Xu Chen 017; Quanyu Dai; Yue Zhu; Zhenhua Dong (ACL (Findings), 2025)

A Contextual-Aware Position Encoding for Sequential Recommendation. - Jun Yuan 008; Guohao Cai; Zhenhua Dong (WWW (Companion Volume), 2025)