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Lixin Zou
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2020 – today
- 2024
- [j7]Zihao Li, Yunfan Xie
, Wei Emma Zhang
Disentangle interest trend and diversity for sequential recommendation. Inf. Process. Manag. 61(2): 103619 (2024) - [j6]Siyuan Guo
Sample Efficient Offline-to-Online Reinforcement Learning. IEEE Trans. Knowl. Data Eng. 36(3): 1299-1310 (2024) - [j5]Xixun Lin
Towards Flexible and Adaptive Neural Process for Cold-Start Recommendation. IEEE Trans. Knowl. Data Eng. 36(4): 1815-1828 (2024) - [j4]Wanli Li
Adversarial Multi-Teacher Distillation for Semi-Supervised Relation Extraction. IEEE Trans. Neural Networks Learn. Syst. 35(8): 11291-11301 (2024) - [j3]Yuanguo Lin
A Survey on Reinforcement Learning for Recommender Systems. IEEE Trans. Neural Networks Learn. Syst. 35(10): 13164-13184 (2024) - [c40]Chaoran Zhang, Lixin Zou, Dan Luo, Xiangyang Luo, Zihao Li, Min Tang, Chenliang Li:
Efficient Sparse Attention needs Adaptive Token Release. ACL (Findings) 2024: 14081-14094 - [c39]Zihao Li, Xuekong Xu, Zuoli Tang, Lixin Zou, Qian Wang, Chenliang Li:
Spectral and Geometric Spaces Representation Regularization for Multi-Modal Sequential Recommendation. CIKM 2024: 1336-1345 - [c38]Langming Liu, Wanyu Wang, Xiangyu Zhao, Zijian Zhang, Chunxu Zhang, Shanru Lin, Yiqi Wang, Lixin Zou, Zitao Liu, Xuetao Wei, Hongzhi Yin, Qing Li:
Efficient and Robust Regularized Federated Recommendation. CIKM 2024: 1452-1461 - [c37]Zuoli Tang, Zhaoxin Huan, Zihao Li, Shirui Hu, Xiaolu Zhang, Jun Zhou, Lixin Zou, Chenliang Li:
TEXT CAN BE FAIR: Mitigating Popularity Bias with PLMs by Learning Relative Preference. CIKM 2024: 2240-2249 - [c36]Xiaokai Chu, Changying Hao, Shuaiqiang Wang, Dawei Yin, Jiashu Zhao, Lixin Zou, Chenliang Li:
LT2R: Learning to Online Learning to Rank for Web Search. ICDE 2024: 4733-4746 - [c35]Xixun Lin, Wenxiao Zhang, Fengzhao Shi, Chuan Zhou, Lixin Zou, Xiangyu Zhao, Dawei Yin, Shirui Pan, Yanan Cao:
Graph Neural Stochastic Diffusion for Estimating Uncertainty in Node Classification. ICML 2024 - [c34]Min Tang, Lixin Zou, Shujie Cui, Shiuan-Ni Liang, Zhe Jin:
Unbiased Recommendation Through Invariant Representation Learning. ECML/PKDD (10) 2024: 280-296 - [c33]Dan Luo
Unbiased Learning-to-Rank Needs Unconfounded Propensity Estimation. SIGIR 2024: 1535-1545 - [c32]Yihua Wen
Unified Visual Preference Learning for User Intent Understanding. WSDM 2024: 816-825 - [c31]Haitao Mao
Whole Page Unbiased Learning to Rank. WWW 2024: 1431-1440 - [i17]Yuanguo Lin, Fan Lin, Guorong Cai, Hong Chen, Lixin Zou, Pengcheng Wu:
Evolutionary Reinforcement Learning: A Systematic Review and Future Directions. CoRR abs/2402.13296 (2024) - [i16]Chaoran Zhang, Lixin Zou, Dan Luo, Min Tang, Xiangyang Luo, Zihao Li, Chenliang Li:
Efficient Sparse Attention needs Adaptive Token Release. CoRR abs/2407.02328 (2024) - 2023
- [j2]Lixin Zou
Pre-trained Language Model-based Retrieval and Ranking for Web Search. ACM Trans. Web 17(1): 4:1-4:36 (2023) - [c30]Pengfei Wang
Tutorial: Data Denoising Metrics in Recommender Systems. CIKM 2023: 5224-5227 - [c29]Min Tang, Zhe Jin, Lixin Zou, Shiuan-Ni Liang:
Learning to Resolve Conflicts in Multi-Task Learning. ICANN (3) 2023: 477-489 - [c28]Chengxi Li, Yejing Wang, Qidong Liu, Xiangyu Zhao, Wanyu Wang, Yiqi Wang, Lixin Zou, Wenqi Fan, Qing Li:
STRec: Sparse Transformer for Sequential Recommendations. RecSys 2023: 101-111 - [c27]Zuoli Tang
Towards Multi-Interest Pre-training with Sparse Capsule Network. SIGIR 2023: 311-320 - [c26]Dan Luo
Model-based Unbiased Learning to Rank. WSDM 2023: 895-903 - [c25]Kesen Zhao
User Retention-oriented Recommendation with Decision Transformer. WWW 2023: 1141-1149 - [i15]Kesen Zhao, Lixin Zou, Xiangyu Zhao, Maolin Wang, Dawei Yin:
User Retention-oriented Recommendation with Decision Transformer. CoRR abs/2303.06347 (2023) - [i14]Dan Luo, Lixin Zou, Qingyao Ai, Zhiyu Chen, Chenliang Li, Dawei Yin, Brian D. Davison:
Unconfounded Propensity Estimation for Unbiased Ranking. CoRR abs/2305.09918 (2023) - 2022
- [c24]Lixin Zou, Changying Hao, Hengyi Cai, Shuaiqiang Wang
Approximated Doubly Robust Search Relevance Estimation. CIKM 2022: 3756-3765 - [c23]Xiaokai Chu, Jiashu Zhao, Xinxin Fan, Di Yao, Zhihua Zhu, Lixin Zou, Dawei Yin, Jingping Bi:
Contrastive Disentangled Graph Convolutional Network for Weakly-Supervised Classification. DASFAA (1) 2022: 722-730 - [c22]Lixin Zou, Haitao Mao, Xiaokai Chu, Jiliang Tang, Wenwen Ye, Shuaiqiang Wang, Dawei Yin:
A Large Scale Search Dataset for Unbiased Learning to Rank. NeurIPS 2022 - [c21]Xiaokai Chu, Jiashu Zhao, Lixin Zou, Dawei Yin:
H-ERNIE: A Multi-Granularity Pre-Trained Language Model for Web Search. SIGIR 2022: 1478-1489 - [c20]Wenwen Ye, Yiding Liu, Lixin Zou, Hengyi Cai, Suqi Cheng, Shuaiqiang Wang
Fast Semantic Matching via Flexible Contextualized Interaction. WSDM 2022: 1275-1283 - [c19]Zhidan Wang, Wenwen Ye, Xu Chen, Wenqiang Zhang, Zhenlei Wang, Lixin Zou, Weidong Liu:
Generative Session-based Recommendation. WWW 2022: 2227-2235 - [i13]Pan Du, Jian-Yun Nie
PReGAN: Answer Oriented Passage Ranking with Weakly Supervised GAN. CoRR abs/2207.01762 (2022) - [i12]Lixin Zou, Haitao Mao, Xiaokai Chu, Jiliang Tang, Wenwen Ye, Shuaiqiang Wang, Dawei Yin:
A Large Scale Search Dataset for Unbiased Learning to Rank. CoRR abs/2207.03051 (2022) - [i11]Dan Luo, Lixin Zou, Qingyao Ai, Zhiyu Chen, Dawei Yin, Brian D. Davison:
Model-based Unbiased Learning to Rank. CoRR abs/2207.11785 (2022) - [i10]Lixin Zou, Changying Hao, Hengyi Cai, Suqi Cheng, Shuaiqiang Wang, Wenwen Ye, Zhicong Cheng, Simiu Gu, Dawei Yin:
Approximated Doubly Robust Search Relevance Estimation. CoRR abs/2208.07671 (2022) - [i9]Haitao Mao, Lixin Zou, Yujia Zheng, Jiliang Tang, Xiaokai Chu, Jiashu Zhao, Dawei Yin:
Whole Page Unbiased Learning to Rank. CoRR abs/2210.10718 (2022) - 2021
- [c18]Lixin Zou:
Data-Efficient Reinforcement Learning for Malaria Control. IJCAI 2021: 507-513 - [c17]Lixin Zou, Shengqiang Zhang, Hengyi Cai, Dehong Ma, Suqi Cheng, Shuaiqiang Wang
Pre-trained Language Model based Ranking in Baidu Search. KDD 2021: 4014-4022 - [c16]Siyuan Guo, Lixin Zou, Yiding Liu, Wenwen Ye, Suqi Cheng, Shuaiqiang Wang
Enhanced Doubly Robust Learning for Debiasing Post-Click Conversion Rate Estimation. SIGIR 2021: 275-284 - [c15]Xiangyu Zhao, Long Xia, Lixin Zou, Hui Liu, Dawei Yin, Jiliang Tang:
UserSim: User Simulation via Supervised GenerativeAdversarial Network. WWW 2021: 3582-3589 - [i8]Lixin Zou, Long Xia, Linfang Hou, Xiangyu Zhao, Dawei Yin:
Data-Efficient Reinforcement Learning for Malaria Control. CoRR abs/2105.01620 (2021) - [i7]Lixin Zou, Shengqiang Zhang, Hengyi Cai, Dehong Ma, Suqi Cheng, Daiting Shi, Shuaiqiang Wang, Zhicong Cheng, Dawei Yin:
Pre-trained Language Model based Ranking in Baidu Search. CoRR abs/2105.11108 (2021) - [i6]Siyuan Guo, Lixin Zou, Yiding Liu, Wenwen Ye, Suqi Cheng, Shuaiqiang Wang, Hechang Chen, Dawei Yin, Yi Chang:
Enhanced Doubly Robust Learning for Debiasing Post-click Conversion Rate Estimation. CoRR abs/2105.13623 (2021) - 2020
- [c14]Zhenzhen Li, Jian-Yun Nie
Meta-Learning for Neural Relation Classification with Distant Supervision. CIKM 2020: 815-824 - [c13]Xiangyu Zhao, Long Xia, Lixin Zou, Hui Liu, Dawei Yin, Jiliang Tang:
Whole-Chain Recommendations. CIKM 2020: 1883-1891 - [c12]Yulong Gu, Zhuoye Ding, Shuaiqiang Wang
Deep Multifaceted Transformers for Multi-objective Ranking in Large-Scale E-commerce Recommender Systems. CIKM 2020: 2493-2500 - [c11]Yufan Hou, Lixin Zou, Weidong Liu:
Task-based Focal Loss for Adversarially Robust Meta-Learning. ICPR 2020: 2824-2829 - [c10]Lixin Zou, Long Xia, Yulong Gu, Xiangyu Zhao, Weidong Liu, Jimmy Xiangji Huang
Neural Interactive Collaborative Filtering. SIGIR 2020: 749-758 - [c9]Lixin Zou, Long Xia, Pan Du, Zhuo Zhang, Ting Bai, Weidong Liu, Jian-Yun Nie
Pseudo Dyna-Q: A Reinforcement Learning Framework for Interactive Recommendation. WSDM 2020: 816-824 - [i5]Zhiwen Shao, Lixin Zou, Jianfei Cai, Yunsheng Wu, Lizhuang Ma:
Spatio-Temporal Relation and Attention Learning for Facial Action Unit Detection. CoRR abs/2001.01168 (2020) - [i4]Lixin Zou, Long Xia, Yulong Gu, Xiangyu Zhao, Weidong Liu, Jimmy Xiangji Huang, Dawei Yin:
Neural Interactive Collaborative Filtering. CoRR abs/2007.02095 (2020) - [i3]Zhenzhen Li, Jian-Yun Nie, Benyou Wang, Pan Du, Yuhan Zhang, Lixin Zou, Dongsheng Li:
Meta-Learning for Neural Relation Classification with Distant Supervision. CoRR abs/2010.13544 (2020) - [i2]Jinlin Lai, Lixin Zou, Jiaxing Song:
Optimal Mixture Weights for Off-Policy Evaluation with Multiple Behavior Policies. CoRR abs/2011.14359 (2020)
2010 – 2019
- 2019
- [c8]Lixin Zou, Long Xia, Zhuoye Ding, Dawei Yin, Jiaxing Song, Weidong Liu:
Reinforcement Learning to Diversify Top-N Recommendation. DASFAA (2) 2019: 104-120 - [c7]Lixin Zou, Long Xia, Zhuoye Ding, Jiaxing Song, Weidong Liu, Dawei Yin:
Reinforcement Learning to Optimize Long-term User Engagement in Recommender Systems. KDD 2019: 2810-2818 - [c6]Ting Bai, Lixin Zou, Wayne Xin Zhao, Pan Du, Weidong Liu, Jian-Yun Nie
CTRec: A Long-Short Demands Evolution Model for Continuous-Time Recommendation. SIGIR 2019: 675-684 - [i1]Lixin Zou, Long Xia, Zhuoye Ding, Jiaxing Song, Weidong Liu, Dawei Yin:
Reinforcement Learning to Optimize Long-term User Engagement in Recommender Systems. CoRR abs/1902.05570 (2019) - 2018
- [j1]Yulong Gu, Jiaxing Song, Weidong Liu, Lixin Zou, Yuan Yao:
CAMF: Context Aware Matrix Factorization for Social Recommendation. Web Intell. 16(1): 53-71 (2018) - 2017
- [c5]Lixin Zou, Yulong Gu, Jiaxing Song, Weidong Liu, Yuan Yao:
HDNN-CF: A hybrid deep neural networks collaborative filtering architecture for event recommendation. SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI 2017: 1-8 - [c4]Lixin Zou, Yulong Gu, Jiaxing Song, Weidong Liu, Yuan Yao:
Long short-term memory based recurrent neural networks for collaborative filtering. SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI 2017: 1-6 - 2016
- [c3]Yulong Gu, Jiaxing Song, Weidong Liu, Lixin Zou:
HLGPS: A Home Location Global Positioning System in Location-Based Social Networks. ICDM 2016: 901-906 - [c2]Yulong Gu, Jiaxing Song, Weidong Liu, Yuan Yao, Lixin Zou:
Towards Accurate Relation Extraction from Wikipedia. WI 2016: 89-96 - [c1]Yulong Gu, Jiaxing Song, Weidong Liu, Lixin Zou, Yuan Yao:
Context Aware Matrix Factorization for Event Recommendation in Event-Based Social Networks. WI 2016: 248-255
Coauthor Index
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last updated on 2024-11-15 19:34 CET by the dblp team
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