Guohao Cai

According to our database, Guohao Cai authored at least 25 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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

A Parameter Update Balancing Algorithm for Multi-task Ranking Models in Recommendation Systems.

Jun Yuan, Guohao Cai, Zhenhua Dong

CoRR, 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, Yong Yu

Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

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

Proceedings of the Recommender Systems Challenge 2024, 2024

Counteracting Duration Bias in Video Recommendation via Counterfactual Watch Time.

Haiyuan Zhao, Guohao Cai, Jieming Zhu, Zhenhua Dong, Jun Xu, Ji-Rong Wen

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

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

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023

Debiased Recommendation with User Feature Balancing.

Mengyue Yang, Guohao Cai, Furui Liu, Jiarui Jin, Zhenhua Dong, Xiuqiang He, Jianye Hao, Weiqi Shao, Jun Wang, Xu Chen

ACM Trans. Inf. Syst., October, 2023

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

Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

FINAL: Factorized Interaction Layer for CTR Prediction.

Jieming Zhu, Qinglin Jia, Guohao Cai, Quanyu Dai, Jingjie Li, Zhenhua Dong, Ruiming Tang, Rui Zhang

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Unbiased Top-$k$ Learning to Rank with Causal Likelihood Decomposition.

Haiyuan Zhao, Jun Xu, Xiao Zhang, Guohao Cai, Zhenhua Dong, Ji-Rong Wen

Proceedings of the Annual International ACM SIGIR Conference on Research and Development in Information Retrieval in the Asia Pacific Region, 2023

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

Proceedings of the 17th ACM Conference on Recommender Systems, 2023

ReLoop2: Building Self-Adaptive Recommendation Models via Responsive Error Compensation Loop.

Jieming Zhu, Guohao Cai, Junjie Huang, Zhenhua Dong, Ruiming Tang, Weinan Zhang

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

FinalMLP: An Enhanced Two-Stream MLP Model for CTR Prediction.

Kelong Mao, Jieming Zhu, Liangcai Su, Guohao Cai, Yuru Li, Zhenhua Dong

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Debiased Recommendation with User Feature Balancing.

Mengyue Yang, Guohao Cai, Furui Liu, Zhenhua Dong, Xiuqiang He, Jianye Hao, Jun Wang, Xu Chen

CoRR, 2022

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

Proceedings of the Companion of The Web Conference 2022, Virtual Event / Lyon, France, April 25, 2022

BARS: Towards Open Benchmarking for Recommender Systems.

Jieming Zhu, Quanyu Dai, Liangcai Su, Rong Ma, Jinyang Liu, Guohao Cai, Xi Xiao, Rui Zhang

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

ReLoop: A Self-Correction Continual Learning Loop for Recommender Systems.

Guohao Cai, Jieming Zhu, Quanyu Dai, Zhenhua Dong, Xiuqiang He, Ruiming Tang, Rui Zhang

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

MINER: Multi-Interest Matching Network for News Recommendation.

Jian Li, Jieming Zhu, Qiwei Bi, Guohao Cai, Lifeng Shang, Zhenhua Dong, Xin Jiang, Qun Liu

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

2021

Non-invasive Self-attention for Side Information Fusion in Sequential Recommendation.

Chang Liu, Xiaoguang Li, Guohao Cai, Zhenhua Dong, Hong Zhu, Lifeng Shang

CoRR, 2021

Dual Sequence Transformer for Query-based Interactive Recommendation.

Guohao Cai, Xiaoguang Li, Quanyu Dai, Gang Wang, Zhenhua Dong, Chaoliang Zhang, Xiuqiang He, Lifeng Shang

Proceedings of the 22nd IEEE International Conference on Mobile Data Management, 2021

Noninvasive Self-attention for Side Information Fusion in Sequential Recommendation.

Chang Liu, Xiaoguang Li, Guohao Cai, Zhenhua Dong, Hong Zhu, Lifeng Shang

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Counterfactual learning for recommender system.

Zhenhua Dong, Hong Zhu, Pengxiang Cheng, Xinhua Feng, Guohao Cai, Xiuqiang He, Jun Xu, Jirong Wen

Proceedings of the RecSys 2020: Fourteenth ACM Conference on Recommender Systems, 2020

2018

Auto-Weighted Multi-View Learning for Image Clustering and Semi-Supervised Classification.

Feiping Nie, Guohao Cai, Jing Li, Xuelong Li

IEEE Trans. Image Process., 2018

Feature Selection via Incorporating Stiefel Manifold in Relaxed K-Means.

Guohao Cai, Rui Zhang, Feiping Nie, Xuelong Li

Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

2017

Multi-View Clustering and Semi-Supervised Classification with Adaptive Neighbours.

Feiping Nie, Guohao Cai, Xuelong Li

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017