Guohao Cai

42 papers A* 11A 4B 2Journal 18Unranked 7
YearRankTypeTitle / Venue / Authors
2025 — conf
A Contextual-Aware Position Encoding for Sequential Recommendation.
WWW (Companion Volume)
Jun Yuan, Guohao Cai, Zhenhua Dong
2025 J jnl
A Contextual-Aware Position Encoding for Sequential Recommendation.
CoRR
Jun Yuan, Guohao Cai, Zhenhua Dong
2025 A* conf
Breaking the Self-Evaluation Barrier: Reinforced Neuro-Symbolic Planning with Large Language Models.
IJCAI
Jie-Jing Shao, Hong-Jie You, Guohao Cai, Quanyu Dai, Zhenhua Dong, Lan-Zhe Guo
2025 — conf
Expectation Confirmation Preference Optimization for Multi-Turn Conversational Recommendation Agent.
ACL (Findings)
Xueyang Feng, Jingsen Zhang, Jiakai Tang, Wei Li, Guohao Cai, Xu Chen, Quanyu Dai, Yue Zhu, Zhenhua Dong
2025 J jnl
Expectation Confirmation Preference Optimization for Multi-Turn Conversational Recommendation Agent.
CoRR
Xueyang Feng, Jingsen Zhang, Jiakai Tang, Wei Li, Guohao Cai, Xu Chen, Quanyu Dai, Yue Zhu, Zhenhua Dong
2025 J jnl
FAIR: Focused Attention Is All You Need for Generative Recommendation.
CoRR
Longtao Xiao, Haolin Zhang, Guohao Cai, Jieming Zhu, Yifan Wang, Heng Chang, Zhenhua Dong, Xiu Li, Ruixuan Li
2025 A* conf
ICG: Improving Cover Image Generation via MLLM-based Prompting and Personalized Preference Alignment.
EMNLP
Zhipeng Bian, Jieming Zhu, Qijiong Liu, Wang Lin, Guohao Cai, Zhaocheng Du, Jiacheng Sun, Zhou Zhao, Zhenhua Dong
2024 A* conf
A Parameter Update Balancing Algorithm for Multi-task Ranking Models in Recommendation Systems.
ICDM
Jun Yuan, Guohao Cai, Zhenghua Dong
2024 J jnl
A Parameter Update Balancing Algorithm for Multi-task Ranking Models in Recommendation Systems.
CoRR
Jun Yuan, Guohao Cai, Zhenhua Dong
2024 J jnl
ChinaTravel: A Real-World Benchmark for Language Agents in Chinese Travel Planning.
CoRR
Jie-Jing Shao, Xiao-Wen Yang, Bo-Wen Zhang, Baizhi Chen, Wen-Da Wei, Guohao Cai, Zhenhua Dong, Lan-Zhe Guo, Yu-Feng Li
2024 A* conf
Counteracting Duration Bias in Video Recommendation via Counterfactual Watch Time.
KDD
Haiyuan Zhao, Guohao Cai, Jieming Zhu, Zhenhua Dong, Jun Xu, Ji-Rong Wen
2024 J jnl
Counteracting Duration Bias in Video Recommendation via Counterfactual Watch Time.
CoRR
Haiyuan Zhao, Guohao Cai, Jieming Zhu, Zhenhua Dong, Jun Xu, Ji-Rong Wen
2024 A conf
EASE: Learning Lightweight Semantic Feature Adapters from Large Language Models for CTR Prediction.
CIKM
Zexuan Qiu, Jieming Zhu, Yankai Chen, Guohao Cai, Weiwen Liu, Zhenhua Dong, Irwin King
2024 — conf
Enhancing News Recommendation with Real-Time Feedback and Generative Sequence Modeling.
RecSys Challenge
Qi Zhang, Jieming Zhu, Jiansheng Sun, Guohao Cai, Ruining Yu, Bangzheng He, Liangbi Li
2024 — conf
Recall-Augmented Ranking: Enhancing Click-Through Rate Prediction Accuracy with Cross-Stage Data.
WWW (Companion Volume)
Junjie Huang, Guohao Cai, Jieming Zhu, Zhenhua Dong, Ruiming Tang, Weinan Zhang, Yong Yu
2024 J jnl
Recall-Augmented Ranking: Enhancing Click-Through Rate Prediction Accuracy with Cross-Stage Data.
CoRR
Junjie Huang, Guohao Cai, Jieming Zhu, Zhenhua Dong, Ruiming Tang, Weinan Zhang, Yong Yu
2023 J jnl
Debiased Recommendation with User Feature Balancing.
ACM Trans. Inf. Syst.
Mengyue Yang, Guohao Cai, Furui Liu, Jiarui Jin, Zhenhua Dong, Xiuqiang He, Jianye Hao, Weiqi Shao, Jun Wang, Xu Chen
2023 A* conf
FINAL: Factorized Interaction Layer for CTR Prediction.
SIGIR
Jieming Zhu, Qinglin Jia, Guohao Cai, Quanyu Dai, Jingjie Li, Zhenhua Dong, Ruiming Tang, Rui Zhang
2023 A* conf
FinalMLP: An Enhanced Two-Stream MLP Model for CTR Prediction.
AAAI
Kelong Mao, Jieming Zhu, Liangcai Su, Guohao Cai, Yuru Li, Zhenhua Dong
2023 J jnl
FinalMLP: An Enhanced Two-Stream MLP Model for CTR Prediction.
CoRR
Kelong Mao, Jieming Zhu, Liangcai Su, Guohao Cai, Yuru Li, Zhenhua Dong
2023 A* conf
ReLoop2: Building Self-Adaptive Recommendation Models via Responsive Error Compensation Loop.
KDD
Jieming Zhu, Guohao Cai, Junjie Huang, Zhenhua Dong, Ruiming Tang, Weinan Zhang
2023 J jnl
ReLoop2: Building Self-Adaptive Recommendation Models via Responsive Error Compensation Loop.
CoRR
Jieming Zhu, Guohao Cai, Junjie Huang, Zhenhua Dong, Ruiming Tang, Weinan Zhang
2023 A conf
Separating Examination and Trust Bias from Click Predictions for Unbiased Relevance Ranking.
WSDM
Haiyuan Zhao, Jun Xu, Xiao Zhang, Guohao Cai, Zhenhua Dong, Ji-Rong Wen
2023 — conf
Unbiased Top-$k$ Learning to Rank with Causal Likelihood Decomposition.
SIGIR-AP
Haiyuan Zhao, Jun Xu, Xiao Zhang, Guohao Cai, Zhenhua Dong, Ji-Rong Wen
2023 A conf
Uncovering User Interest from Biased and Noised Watch Time in Video Recommendation.
RecSys
Haiyuan Zhao, Lei Zhang, Jun Xu, Guohao Cai, Zhenhua Dong, Ji-Rong Wen
2023 J jnl
Uncovering User Interest from Biased and Noised Watch Time in Video Recommendation.
CoRR
Haiyuan Zhao, Lei Zhang, Jun Xu, Guohao Cai, Zhenhua Dong, Ji-Rong Wen
2022 A* conf
BARS: Towards Open Benchmarking for Recommender Systems.
SIGIR
Jieming Zhu, Quanyu Dai, Liangcai Su, Rong Ma, Jinyang Liu, Guohao Cai, Xi Xiao, Rui Zhang
2022 J jnl
BARS: Towards Open Benchmarking for Recommender Systems.
CoRR
Jieming Zhu, Quanyu Dai, Liangcai Su, Rong Ma, Jinyang Liu, Guohao Cai, Xi Xiao, Rui Zhang
2022 J jnl
Debiased Recommendation with User Feature Balancing.
CoRR
Mengyue Yang, Guohao Cai, Furui Liu, Zhenhua Dong, Xiuqiang He, Jianye Hao, Jun Wang, Xu Chen
2022 — conf
MINER: Multi-Interest Matching Network for News Recommendation.
ACL (Findings)
Jian Li, Jieming Zhu, Qiwei Bi, Guohao Cai, Lifeng Shang, Zhenhua Dong, Xin Jiang, Qun Liu
2022 — conf
PEAR: Personalized Re-ranking with Contextualized Transformer for Recommendation.
WWW (Companion Volume)
Yi Li, Jieming Zhu, Weiwen Liu, Liangcai Su, Guohao Cai, Qi Zhang, Ruiming Tang, Xi Xiao, Xiuqiang He
2022 J jnl
PEAR: Personalized Re-ranking with Contextualized Transformer for Recommendation.
CoRR
Yi Li, Jieming Zhu, Weiwen Liu, Liangcai Su, Guohao Cai, Qi Zhang, Ruiming Tang, Xi Xiao, Xiuqiang He
2022 A* conf
ReLoop: A Self-Correction Continual Learning Loop for Recommender Systems.
SIGIR
Guohao Cai, Jieming Zhu, Quanyu Dai, Zhenhua Dong, Xiuqiang He, Ruiming Tang, Rui Zhang
2022 J jnl
ReLoop: A Self-Correction Continual Learning Loop for Recommender Systems.
CoRR
Guohao Cai, Jieming Zhu, Quanyu Dai, Zhenhua Dong, Xiuqiang He, Ruiming Tang, Rui Zhang
2022 J jnl
Unbiased Top-k Learning to Rank with Causal Likelihood Decomposition.
CoRR
Haiyuan Zhao, Jun Xu, Xiao Zhang, Guohao Cai, Zhenhua Dong, Ji-Rong Wen
2021 B conf
Dual Sequence Transformer for Query-based Interactive Recommendation.
MDM
Guohao Cai, Xiaoguang Li, Quanyu Dai, Gang Wang, Zhenhua Dong, Chaoliang Zhang, Xiuqiang He, Lifeng Shang
2021 J jnl
Non-invasive Self-attention for Side Information Fusion in Sequential Recommendation.
CoRR
Chang Liu, Xiaoguang Li, Guohao Cai, Zhenhua Dong, Hong Zhu, Lifeng Shang
2021 A* conf
Noninvasive Self-attention for Side Information Fusion in Sequential Recommendation.
AAAI
Chang Liu, Xiaoguang Li, Guohao Cai, Zhenhua Dong, Hong Zhu, Lifeng Shang
2020 A conf
Counterfactual learning for recommender system.
RecSys
Zhenhua Dong, Hong Zhu, Pengxiang Cheng, Xinhua Feng, Guohao Cai, Xiuqiang He, Jun Xu, Jirong Wen
2018 J jnl
Auto-Weighted Multi-View Learning for Image Clustering and Semi-Supervised Classification.
IEEE Trans. Image Process.
Feiping Nie, Guohao Cai, Jing Li, Xuelong Li
2018 B conf
Feature Selection via Incorporating Stiefel Manifold in Relaxed K-Means.
ICIP
Guohao Cai, Rui Zhang, Feiping Nie, Xuelong Li
2017 A* conf
Multi-View Clustering and Semi-Supervised Classification with Adaptive Neighbours.
AAAI
Feiping Nie, Guohao Cai, Xuelong Li