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Guohao Cai
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2020 – today
- 2024
- [c17]Haiyuan Zhao, Guohao Cai, Jieming Zhu, Zhenhua Dong, Jun Xu, Ji-Rong Wen:
Counteracting Duration Bias in Video Recommendation via Counterfactual Watch Time. KDD 2024: 4455-4466 - [c16]Junjie Huang
, Guohao Cai
, Jieming Zhu
, Zhenhua Dong
, Ruiming Tang
, Weinan Zhang
, Yong Yu
:
Recall-Augmented Ranking: Enhancing Click-Through Rate Prediction Accuracy with Cross-Stage Data. WWW (Companion Volume) 2024: 830-833 - [i11]Junjie Huang, Guohao Cai, Jieming Zhu, Zhenhua Dong, Ruiming Tang, Weinan Zhang, Yong Yu:
Recall-Augmented Ranking: Enhancing Click-Through Rate Prediction Accuracy with Cross-Stage Data. CoRR abs/2404.09578 (2024) - [i10]Haiyuan Zhao, Guohao Cai, Jieming Zhu, Zhenhua Dong, Jun Xu, Ji-Rong Wen:
Counteracting Duration Bias in Video Recommendation via Counterfactual Watch Time. CoRR abs/2406.07932 (2024) - 2023
- [j2]Mengyue Yang
, Guohao Cai
, Furui Liu
, Jiarui Jin
, Zhenhua Dong
, Xiuqiang He
, Jianye Hao
, Weiqi Shao
, Jun Wang
, Xu Chen
:
Debiased Recommendation with User Feature Balancing. ACM Trans. Inf. Syst. 41(4): 114:1-114:25 (2023) - [c15]Kelong Mao, Jieming Zhu, Liangcai Su, Guohao Cai, Yuru Li, Zhenhua Dong:
FinalMLP: An Enhanced Two-Stream MLP Model for CTR Prediction. AAAI 2023: 4552-4560 - [c14]Jieming Zhu
, Guohao Cai
, Junjie Huang
, Zhenhua Dong
, Ruiming Tang
, Weinan Zhang
:
ReLoop2: Building Self-Adaptive Recommendation Models via Responsive Error Compensation Loop. KDD 2023: 5728-5738 - [c13]Haiyuan Zhao
, Lei Zhang
, Jun Xu
, Guohao Cai
, Zhenhua Dong
, Ji-Rong Wen
:
Uncovering User Interest from Biased and Noised Watch Time in Video Recommendation. RecSys 2023: 528-539 - [c12]Jieming Zhu
, Qinglin Jia
, Guohao Cai
, Quanyu Dai
, Jingjie Li
, Zhenhua Dong
, Ruiming Tang
, Rui Zhang
:
FINAL: Factorized Interaction Layer for CTR Prediction. SIGIR 2023: 2006-2010 - [c11]Haiyuan Zhao
, Jun Xu
, Xiao Zhang
, Guohao Cai
, Zhenhua Dong
, Ji-Rong Wen
:
Unbiased Top-$k$ Learning to Rank with Causal Likelihood Decomposition. SIGIR-AP 2023: 129-138 - [c10]Haiyuan Zhao
, Jun Xu
, Xiao Zhang
, Guohao Cai
, Zhenhua Dong
, Ji-Rong Wen
:
Separating Examination and Trust Bias from Click Predictions for Unbiased Relevance Ranking. WSDM 2023: 913-921 - [i9]Kelong Mao, Jieming Zhu, Liangcai Su, Guohao Cai, Yuru Li, Zhenhua Dong:
FinalMLP: An Enhanced Two-Stream MLP Model for CTR Prediction. CoRR abs/2304.00902 (2023) - [i8]Jieming Zhu, Guohao Cai, Junjie Huang, Zhenhua Dong, Ruiming Tang, Weinan Zhang:
ReLoop2: Building Self-Adaptive Recommendation Models via Responsive Error Compensation Loop. CoRR abs/2306.08808 (2023) - [i7]Haiyuan Zhao, Lei Zhang, Jun Xu, Guohao Cai, Zhenhua Dong, Ji-Rong Wen:
Uncovering User Interest from Biased and Noised Watch Time in Video Recommendation. CoRR abs/2308.08120 (2023) - 2022
- [c9]Jian Li, Jieming Zhu, Qiwei Bi, Guohao Cai, Lifeng Shang, Zhenhua Dong, Xin Jiang, Qun Liu:
MINER: Multi-Interest Matching Network for News Recommendation. ACL (Findings) 2022: 343-352 - [c8]Guohao Cai, Jieming Zhu, Quanyu Dai, Zhenhua Dong, Xiuqiang He, Ruiming Tang, Rui Zhang:
ReLoop: A Self-Correction Continual Learning Loop for Recommender Systems. SIGIR 2022: 2692-2697 - [c7]Jieming Zhu, Quanyu Dai, Liangcai Su, Rong Ma, Jinyang Liu
, Guohao Cai, Xi Xiao, Rui Zhang:
BARS: Towards Open Benchmarking for Recommender Systems. SIGIR 2022: 2912-2923 - [c6]Yi Li, Jieming Zhu, Weiwen Liu, Liangcai Su, Guohao Cai, Qi Zhang, Ruiming Tang, Xi Xiao, Xiuqiang He:
PEAR: Personalized Re-ranking with Contextualized Transformer for Recommendation. WWW (Companion Volume) 2022: 62-66 - [i6]Mengyue Yang, Guohao Cai, Furui Liu, Zhenhua Dong, Xiuqiang He, Jianye Hao, Jun Wang, Xu Chen:
Debiased Recommendation with User Feature Balancing. CoRR abs/2201.06056 (2022) - [i5]Yi Li, Jieming Zhu, Weiwen Liu, Liangcai Su, Guohao Cai, Qi Zhang, Ruiming Tang, Xi Xiao, Xiuqiang He:
PEAR: Personalized Re-ranking with Contextualized Transformer for Recommendation. CoRR abs/2203.12267 (2022) - [i4]Haiyuan Zhao, Jun Xu, Xiao Zhang, Guohao Cai, Zhenhua Dong, Ji-Rong Wen:
Unbiased Top-k Learning to Rank with Causal Likelihood Decomposition. CoRR abs/2204.00815 (2022) - [i3]Guohao Cai, Jieming Zhu, Quanyu Dai, Zhenhua Dong, Xiuqiang He, Ruiming Tang, Rui Zhang:
ReLoop: A Self-Correction Continual Learning Loop for Recommender Systems. CoRR abs/2204.11165 (2022) - [i2]Jieming Zhu, Quanyu Dai, Liangcai Su, Rong Ma, Jinyang Liu, Guohao Cai, Xi Xiao, Rui Zhang:
BARS: Towards Open Benchmarking for Recommender Systems. CoRR abs/2205.09626 (2022) - 2021
- [c5]Chang Liu, Xiaoguang Li, Guohao Cai, Zhenhua Dong, Hong Zhu, Lifeng Shang:
Noninvasive Self-attention for Side Information Fusion in Sequential Recommendation. AAAI 2021: 4249-4256 - [c4]Guohao Cai, Xiaoguang Li, Quanyu Dai, Gang Wang, Zhenhua Dong, Chaoliang Zhang, Xiuqiang He, Lifeng Shang:
Dual Sequence Transformer for Query-based Interactive Recommendation. MDM 2021: 139-144 - [i1]Chang Liu, Xiaoguang Li, Guohao Cai, Zhenhua Dong, Hong Zhu, Lifeng Shang:
Non-invasive Self-attention for Side Information Fusion in Sequential Recommendation. CoRR abs/2103.03578 (2021) - 2020
- [c3]Zhenhua Dong, Hong Zhu, Pengxiang Cheng, Xinhua Feng, Guohao Cai, Xiuqiang He, Jun Xu, Jirong Wen:
Counterfactual learning for recommender system. RecSys 2020: 568-569
2010 – 2019
- 2018
- [j1]Feiping Nie
, Guohao Cai
, Jing Li
, Xuelong Li
:
Auto-Weighted Multi-View Learning for Image Clustering and Semi-Supervised Classification. IEEE Trans. Image Process. 27(3): 1501-1511 (2018) - [c2]Guohao Cai, Rui Zhang
, Feiping Nie
, Xuelong Li:
Feature Selection via Incorporating Stiefel Manifold in Relaxed K-Means. ICIP 2018: 1503-1507 - 2017
- [c1]Feiping Nie, Guohao Cai, Xuelong Li:
Multi-View Clustering and Semi-Supervised Classification with Adaptive Neighbours. AAAI 2017: 2408-2414
Coauthor Index
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last updated on 2024-08-29 21:50 CEST by the dblp team
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