Lixin Zou

104 papers A* 23A 13B 6Journal 48Unranked 14
YearRankTypeTitle / Venue / Authors
2026 J jnl
Backdoor samples detection based on perturbation discrepancy consistency in pre-trained language models.
Neural Networks
Zuquan Peng, Jianming Fu, Lixin Zou, Li Zheng, Yanzhen Ren, Guojun Peng
2026 J jnl
Erratum: Learning Discrete Identifiers and Dense Vectors for Generative Retrieval.
ACM Trans. Inf. Syst.
Yunfan Xie, Lixin Zou, Xiangyang Luo, Hengyi Cai, Chaoran Zhang, Liming Dong, Xixun Lin, Chenliang Li
2026 J jnl
Generative Causality-Driven Network for Graph Multi-Task Learning.
IEEE Trans. Pattern Anal. Mach. Intell.
Xixun Lin, Qing Yu, Yanan Cao, Lixin Zou, Chuan Zhou, Jia Wu, Chenliang Li, Peng Zhang, Shirui Pan
2026 J jnl
Learning Discrete Identifiers and Dense Vectors for Generative Retrieval.
ACM Trans. Inf. Syst.
Yunfan Xie, Lixin Zou, Xiangyang Luo, Hengyi Cai, Chaoran Zhang, Liming Dong, Xixun Lin, Chenliang Li
2026 — conf
Q-Regularized Generative Auto-Bidding: From Suboptimal Trajectories to Optimal Policies.
KDD (1)
Mingming Zhang, Na Li, Feiqing Zhuang, Hongyang Zheng, Jiangbing Zhou, Wuyin Wang, Shengjie Sun, Xiaowei Chen, Junxiong Zhu, Lixin Zou, Chenliang Li
2026 J jnl
Q-value guided Text-to-SQL generation: Structured reasoning meets efficient inference exploration.
Inf. Process. Manag.
Min Tang, Lixin Zou, Shujie Cui, Weiqing Wang, Zhe Jin, Chengliang Li, Shiuan-Ni Liang
2026 A* conf
Scaling Collaborative Filtering with Multimodal Contrastive Fine-tuning.
WWW
Liwei Jin, Dan Luo, Lixin Zou, Chenliang Li, Xiangyang Luo, Xixun Lin, Liming Dong, Yifan Zhang
2026 J jnl
Spatio-Temporal Disentanglement and Constrained Self-Attention for Multi-Modal Deception Detection.
ACM Trans. Multim. Comput. Commun. Appl.
Zhiwen Shao, Hang Yang, Hancheng Zhu, Rui Yao, Lixin Zou, Mengtian Li, Bin Sheng
2025 — conf
AIGuard: A Benchmark and Lightweight Detection for E-commerce AIGC Risks.
ACL (Findings)
Wenhua Zhang, Weicheng Li, Xuanrong Rao, Lixin Zou, Xiangyang Luo, Chubin Zhuang, Yongjie Hong, Zhen Qin, Hengyun Chang, Chenliang Li, Bo Zheng
2025 J jnl
Backdoor Samples Detection Based on Perturbation Discrepancy Consistency in Pre-trained Language Models.
CoRR
Zuquan Peng, Jianming Fu, Lixin Zou, Li Zheng, Yanzhen Ren, Guojun Peng
2025 A* conf
Bridging the Gap: Consistent Image Outpainting via Training-Free Noise Optimization.
ACM Multimedia
Na Li, Zihao Li, Zuoli Tang, Yuqing Yu, Lixin Zou, Chenliang Li
2025 B conf
CHIFRAUD: A Long-term Web Text Dataset for Chinese Fraud Detection.
COLING
Min Tang, Lixin Zou, Zhe Jin, Shujie Cui, Shiuan-Ni Liang, Weiqing Wang
2025 — conf
CharacterCraft: Bridging the Literature-Reality Dialogue Gap for Practical Role-Playing Agents.
EMNLP (Findings)
Xuyan Yin, Xinran Yang, Zihao Li, Lixin Zou, Chenliang Li
2025 A* conf
Conformal Graph-level Out-of-distribution Detection with Adaptive Data Augmentation.
WWW
Xixun Lin, Yanan Cao, Nan Sun, Lixin Zou, Chuan Zhou, Peng Zhang, Shuai Zhang, Ge Zhang, Jia Wu
2025 J jnl
Contrastive Modality-Disentangled Learning for Multimodal Recommendation.
ACM Trans. Inf. Syst.
Xixun Lin, Rui Liu, Yanan Cao, Lixin Zou, Qian Li, Yongxuan Wu, Yang Liu, Dawei Yin, Guandong Xu
2025 A* conf
DANCE: Resource-Efficient Neural Architecture Search with Data-Aware and Continuous Adaptation.
IJCAI
Maolin Wang, Tianshuo Wei, Sheng Zhang, Ruocheng Guo, Wanyu Wang, Shanshan Ye, Lixin Zou, Xuetao Wei, Xiangyu Zhao
2025 J jnl
DANCE: Resource-Efficient Neural Architecture Search with Data-Aware and Continuous Adaptation.
CoRR
Maolin Wang, Tianshuo Wei, Sheng Zhang, Ruocheng Guo, Wanyu Wang, Shanshan Ye, Lixin Zou, Xuetao Wei, Xiangyu Zhao
2025 J jnl
Efficient and explainable sequential recommendation with language model.
Inf. Process. Manag.
Zihao Li, Lixin Zou, Chao Ma, Chenliang Li
2025 — conf
FairCDR: Transferring Fairness and User Preferences for Cross-Domain Recommendation.
KDD (2)
Yongxuan Wu, Yang Liu, Xixun Lin, Hong Zhou, Yanan Cao, Lixin Zou, Yanmin Shang, Yanbing Liu
2025 A* conf
Flow Matching Based Sequential Recommender Model.
IJCAI
Feng Liu, Lixin Zou, Xiangyu Zhao, Min Tang, Liming Dong, Dan Luo, Xiangyang Luo, Chenliang Li
2025 J jnl
Flow Matching based Sequential Recommender Model.
CoRR
Feng Liu, Lixin Zou, Xiangyu Zhao, Min Tang, Liming Dong, Dan Luo, Xiangyang Luo, Chenliang Li
2025 A* conf
Generative Meta-Learning for Zero-Shot Relation Triplet Extraction.
SIGIR
Wanli Li, Tieyun Qian, Yi Song, Zeyu Zhang, Jiawei Li, Zhuang Chen, Lixin Zou
2025 J jnl
HORAE: Temporal Multi-Interest Pre-training for Sequential Recommendation.
ACM Trans. Inf. Syst.
Shirui Hu, Weichang Wu, Zuoli Tang, Zhaoxin Huan, Lin Wang, Xiaolu Zhang, Jun Zhou, Lixin Zou, Chenliang Li
2025 J jnl
IBPL: Information Bottleneck-based Prompt Learning for graph out-of-distribution detection.
Neural Networks
Yanan Cao, Fengzhao Shi, Qing Yu, Xixun Lin, Chuan Zhou, Lixin Zou, Peng Zhang, Zhao Li, Dawei Yin
2025 J jnl
LFD: Layer Fused Decoding to Exploit External Knowledge in Retrieval-Augmented Generation.
CoRR
Yang Sun, Lixin Zou, Dan Luo, Zhiyong Xie, Long Zhang, Liming Dong, Yunwei Zhao, Xixun Lin, Yanxiong Lu, Chenliang Li
2025 J jnl
LLM-based Agents Suffer from Hallucinations: A Survey of Taxonomy, Methods, and Directions.
CoRR
Xixun Lin, Yucheng Ning, Jingwen Zhang, Yan Dong, Yilong Liu, Yongxuan Wu, Xiaohua Qi, Nan Sun, Yanmin Shang, Pengfei Cao, Lixin Zou, Xu Chen, Chuan Zhou, Jia Wu, Shirui Pan, Bin Wang, Yanan Cao, Kai Chen, Songlin Hu, Li Guo
2025 B conf
META-LORA: Memory-Efficient Sample Reweighting for Fine-Tuning Large Language Models.
COLING
Weicheng Li, Lixin Zou, Min Tang, Qing Yu, Wanli Li, Chenliang Li
2025 B conf
Mitigating Language Confusion through Inference-time Intervention.
COLING
Yunfan Xie, Lixin Zou, Dan Luo, Min Tang, Chenliang Li, Liming Dong, Xiangyang Luo
2025 J jnl
Multi-Interest Recommendation: A Survey.
CoRR
Zihao Li, Qiang Chen, Lixin Zou, Aixin Sun, Chenliang Li
2025 J jnl
One Model for All: Large Language Models Are Domain-Agnostic Recommendation Systems.
ACM Trans. Inf. Syst.
Zuoli Tang, Zhaoxin Huan, Zihao Li, Xiaolu Zhang, Jun Hu, Chilin Fu, Jun Zhou, Lixin Zou, Chenliang Li
2025 J jnl
Sequential recommendation by reprogramming pretrained transformer.
Inf. Process. Manag.
Min Tang, Shujie Cui, Zhe Jin, Shiuan-Ni Liang, Chenliang Li, Lixin Zou
2025 — conf
Token-level Preference Self-Alignment Optimization for Multi-style Outline Controllable Generation.
ACL (Findings)
Zihao Li, Xuekong Xu, Ziyao Chen, Lixin Zou, Ethanhjwu Ethanhjwu, Qiang Chen, Chenliang Li
2025 J jnl
Towards accurate context-aware user simulation for algorithm auditing.
Vis. Comput.
Yunwei Zhao, Han Han, Wenhao Yang, Lixin Zou, Meichen Liu, Luhua Wang
2025 J jnl
Uniform Graph Pre-training and Prompting for Transferable Recommendation.
ACM Trans. Inf. Syst.
Qing Yu, Lixin Zou, Xiangyang Luo, Xiangyu Zhao, Chenliang Li
2025 — conf
Weak-to-Strong Honesty Alignment via Learning-to-Rank Supervision.
ACL (Findings)
Yunfan Xie, Lixin Zou, Dan Luo, Min Tang, Chenliang Li
2025 J jnl
Who You Are Matters: Bridging Topics and Social Roles via LLM-Enhanced Logical Recommendation.
CoRR
Qing Yu, Xiaobei Wang, Shuchang Liu, Yandong Bai, Xiaoyu Yang, Xueliang Wang, Chang Meng, Shanshan Wu, Hailan Yang, Huihui Xiao, Xiang Li, Fan Yang, Xiaoqiang Feng, Lantao Hu, Han Li, Kun Gai, Lixin Zou
2025 J jnl
zERExtractor:An Automated Platform for Enzyme-Catalyzed Reaction Data Extraction from Scientific Literature.
CoRR
Rui Zhou, Haohui Ma, Tianle Xin, Lixin Zou, Qiuyue Hu, Hongxi Cheng, Mingzhi Lin, Jingjing Guo, Sheng Wang, Guoqing Zhang, Yanjie Wei, Liangzhen Zheng
2024 J jnl
A Survey on Reinforcement Learning for Recommender Systems.
IEEE Trans. Neural Networks Learn. Syst.
Yuanguo Lin, Yong Liu, Fan Lin, Lixin Zou, Pengcheng Wu, Wenhua Zeng, Huanhuan Chen, Chunyan Miao
2024 J jnl
Adversarial Multi-Teacher Distillation for Semi-Supervised Relation Extraction.
IEEE Trans. Neural Networks Learn. Syst.
Wanli Li, Tieyun Qian, Xuhui Li, Lixin Zou
2024 J jnl
Disentangle interest trend and diversity for sequential recommendation.
Inf. Process. Manag.
Zihao Li, Yunfan Xie, Wei Emma Zhang, Pengfei Wang, Lixin Zou, Fei Li, Xiangyang Luo, Chenliang Li
2024 — conf
Efficient Sparse Attention needs Adaptive Token Release.
ACL (Findings)
Chaoran Zhang, Lixin Zou, Dan Luo, Xiangyang Luo, Zihao Li, Min Tang, Chenliang Li
2024 J jnl
Efficient Sparse Attention needs Adaptive Token Release.
CoRR
Chaoran Zhang, Lixin Zou, Dan Luo, Min Tang, Xiangyang Luo, Zihao Li, Chenliang Li
2024 A conf
Efficient and Robust Regularized Federated Recommendation.
CIKM
Langming Liu, Wanyu Wang, Xiangyu Zhao, Zijian Zhang, Chunxu Zhang, Shanru Lin, Yiqi Wang, Lixin Zou, Zitao Liu, Xuetao Wei, Hongzhi Yin, Qing Li
2024 J jnl
Efficient and Robust Regularized Federated Recommendation.
CoRR
Langming Liu, Wanyu Wang, Xiangyu Zhao, Zijian Zhang, Chunxu Zhang, Shanru Lin, Yiqi Wang, Lixin Zou, Zitao Liu, Xuetao Wei, Hongzhi Yin, Qing Li
2024 J jnl
Evolutionary Reinforcement Learning: A Systematic Review and Future Directions.
CoRR
Yuanguo Lin, Fan Lin, Guorong Cai, Hong Chen, Lixin Zou, Pengcheng Wu
2024 A* conf
Graph Neural Stochastic Diffusion for Estimating Uncertainty in Node Classification.
ICML
Xixun Lin, Wenxiao Zhang, Fengzhao Shi, Chuan Zhou, Lixin Zou, Xiangyu Zhao, Dawei Yin, Shirui Pan, Yanan Cao
2024 A* conf
LT
ICDE
Xiaokai Chu, Changying Hao, Shuaiqiang Wang, Dawei Yin, Jiashu Zhao, Lixin Zou, Chenliang Li
2024 J jnl
Sample Efficient Offline-to-Online Reinforcement Learning.
IEEE Trans. Knowl. Data Eng.
Siyuan Guo, Lixin Zou, Hechang Chen, Bohao Qu, Haotian Chi, Philip S. Yu, Yi Chang
2024 A conf
Spectral and Geometric Spaces Representation Regularization for Multi-Modal Sequential Recommendation.
CIKM
Zihao Li, Xuekong Xu, Zuoli Tang, Lixin Zou, Qian Wang, Chenliang Li
2024 A conf
TEXT CAN BE FAIR: Mitigating Popularity Bias with PLMs by Learning Relative Preference.
CIKM
Zuoli Tang, Zhaoxin Huan, Zihao Li, Shirui Hu, Xiaolu Zhang, Jun Zhou, Lixin Zou, Chenliang Li
2024 J jnl
Toward Bias-Agnostic Recommender Systems: A Universal Generative Framework.
ACM Trans. Inf. Syst.
Zhidan Wang, Lixin Zou, Chenliang Li, Shuaiqiang Wang, Xu Chen, Dawei Yin, Weidong Liu
2024 J jnl
Towards Flexible and Adaptive Neural Process for Cold-Start Recommendation.
IEEE Trans. Knowl. Data Eng.
Xixun Lin, Chuan Zhou, Jia Wu, Lixin Zou, Shirui Pan, Yanan Cao, Bin Wang, Shuaiqiang Wang, Dawei Yin
2024 A* conf
Unbiased Learning-to-Rank Needs Unconfounded Propensity Estimation.
SIGIR
Dan Luo, Lixin Zou, Qingyao Ai, Zhiyu Chen, Chenliang Li, Dawei Yin, Brian D. Davison
2024 — conf
Unbiased Recommendation Through Invariant Representation Learning.
ECML/PKDD (10)
Min Tang, Lixin Zou, Shujie Cui, Shiuan-Ni Liang, Zhe Jin
2024 A conf
Unified Visual Preference Learning for User Intent Understanding.
WSDM
Yihua Wen, Si Chen, Yu Tian, Wanxian Guan, Pengjie Wang, Hongbo Deng, Jian Xu, Bo Zheng, Zihao Li, Lixin Zou, Chenliang Li
2024 A* conf
Whole Page Unbiased Learning to Rank.
WWW
Haitao Mao, Lixin Zou, Yujia Zheng, Jiliang Tang, Xiaokai Chu, Jiashu Zhao, Qian Wang, Dawei Yin
2023 — conf
Learning to Resolve Conflicts in Multi-Task Learning.
ICANN (3)
Min Tang, Zhe Jin, Lixin Zou, Shiuan-Ni Liang
2023 A conf
Model-based Unbiased Learning to Rank.
WSDM
Dan Luo, Lixin Zou, Qingyao Ai, Zhiyu Chen, Dawei Yin, Brian D. Davison
2023 — conf
Overview of the NTCIR-17 Unbiased Learning to Rank Evaluation 2 (ULTRE-2) Task.
NTCIR
Zechun Niu, Jiaxin Mao, Qingyao Ai, Lixin Zou, Shuaiqiang Wang, Dawei Yin
2023 J jnl
Pre-trained Language Model-based Retrieval and Ranking for Web Search.
ACM Trans. Web
Lixin Zou, Weixue Lu, Yiding Liu, Hengyi Cai, Xiaokai Chu, Dehong Ma, Daiting Shi, Yu Sun, Zhicong Cheng, Simiu Gu, Shuaiqiang Wang, Dawei Yin
2023 A conf
STRec: Sparse Transformer for Sequential Recommendations.
RecSys
Chengxi Li, Yejing Wang, Qidong Liu, Xiangyu Zhao, Wanyu Wang, Yiqi Wang, Lixin Zou, Wenqi Fan, Qing Li
2023 A* conf
Towards Multi-Interest Pre-training with Sparse Capsule Network.
SIGIR
Zuoli Tang, Lin Wang, Lixin Zou, Xiaolu Zhang, Jun Zhou, Chenliang Li
2023 A conf
Tutorial: Data Denoising Metrics in Recommender Systems.
CIKM
Pengfei Wang, Chenliang Li, Lixin Zou, Zhichao Feng, Kaiyuan Li, Xiaochen Li, Xialong Liu, Shangguang Wang
2023 J jnl
Unconfounded Propensity Estimation for Unbiased Ranking.
CoRR
Dan Luo, Lixin Zou, Qingyao Ai, Zhiyu Chen, Chenliang Li, Dawei Yin, Brian D. Davison
2023 A* conf
User Retention-oriented Recommendation with Decision Transformer.
WWW
Kesen Zhao, Lixin Zou, Xiangyu Zhao, Maolin Wang, Dawei Yin
2023 J jnl
User Retention-oriented Recommendation with Decision Transformer.
CoRR
Kesen Zhao, Lixin Zou, Xiangyu Zhao, Maolin Wang, Dawei Yin
2022 A* conf
A Large Scale Search Dataset for Unbiased Learning to Rank.
NeurIPS
Lixin Zou, Haitao Mao, Xiaokai Chu, Jiliang Tang, Wenwen Ye, Shuaiqiang Wang, Dawei Yin
2022 J jnl
A Large Scale Search Dataset for Unbiased Learning to Rank.
CoRR
Lixin Zou, Haitao Mao, Xiaokai Chu, Jiliang Tang, Wenwen Ye, Shuaiqiang Wang, Dawei Yin
2022 A conf
Approximated Doubly Robust Search Relevance Estimation.
CIKM
Lixin Zou, Changying Hao, Hengyi Cai, Shuaiqiang Wang, Suqi Cheng, Zhicong Cheng, Wenwen Ye, Simiu Gu, Dawei Yin
2022 J jnl
Approximated Doubly Robust Search Relevance Estimation.
CoRR
Lixin Zou, Changying Hao, Hengyi Cai, Suqi Cheng, Shuaiqiang Wang, Wenwen Ye, Zhicong Cheng, Simiu Gu, Dawei Yin
2022 — conf
Contrastive Disentangled Graph Convolutional Network for Weakly-Supervised Classification.
DASFAA (1)
Xiaokai Chu, Jiashu Zhao, Xinxin Fan, Di Yao, Zhihua Zhu, Lixin Zou, Dawei Yin, Jingping Bi
2022 A conf
Fast Semantic Matching via Flexible Contextualized Interaction.
WSDM
Wenwen Ye, Yiding Liu, Lixin Zou, Hengyi Cai, Suqi Cheng, Shuaiqiang Wang, Dawei Yin
2022 A* conf
Generative Session-based Recommendation.
WWW
Zhidan Wang, Wenwen Ye, Xu Chen, Wenqiang Zhang, Zhenlei Wang, Lixin Zou, Weidong Liu
2022 A* conf
H-ERNIE: A Multi-Granularity Pre-Trained Language Model for Web Search.
SIGIR
Xiaokai Chu, Jiashu Zhao, Lixin Zou, Dawei Yin
2022 J jnl
Model-based Unbiased Learning to Rank.
CoRR
Dan Luo, Lixin Zou, Qingyao Ai, Zhiyu Chen, Dawei Yin, Brian D. Davison
2022 J jnl
PReGAN: Answer Oriented Passage Ranking with Weakly Supervised GAN.
CoRR
Pan Du, Jian-Yun Nie, Yutao Zhu, Hao Jiang, Lixin Zou, Xiaohui Yan
2022 J jnl
Whole Page Unbiased Learning to Rank.
CoRR
Haitao Mao, Lixin Zou, Yujia Zheng, Jiliang Tang, Xiaokai Chu, Jiashu Zhao, Dawei Yin
2021 A* conf
Data-Efficient Reinforcement Learning for Malaria Control.
IJCAI
Lixin Zou
2021 J jnl
Data-Efficient Reinforcement Learning for Malaria Control.
CoRR
Lixin Zou, Long Xia, Linfang Hou, Xiangyu Zhao, Dawei Yin
2021 A* conf
Enhanced Doubly Robust Learning for Debiasing Post-Click Conversion Rate Estimation.
SIGIR
Siyuan Guo, Lixin Zou, Yiding Liu, Wenwen Ye, Suqi Cheng, Shuaiqiang Wang, Hechang Chen, Dawei Yin, Yi Chang
2021 J jnl
Enhanced Doubly Robust Learning for Debiasing Post-click Conversion Rate Estimation.
CoRR
Siyuan Guo, Lixin Zou, Yiding Liu, Wenwen Ye, Suqi Cheng, Shuaiqiang Wang, Hechang Chen, Dawei Yin, Yi Chang
2021 A* conf
Pre-trained Language Model based Ranking in Baidu Search.
KDD
Lixin Zou, Shengqiang Zhang, Hengyi Cai, Dehong Ma, Suqi Cheng, Shuaiqiang Wang, Daiting Shi, Zhicong Cheng, Dawei Yin
2021 J jnl
Pre-trained Language Model based Ranking in Baidu Search.
CoRR
Lixin Zou, Shengqiang Zhang, Hengyi Cai, Dehong Ma, Suqi Cheng, Daiting Shi, Shuaiqiang Wang, Zhicong Cheng, Dawei Yin
2021 A* conf
UserSim: User Simulation via Supervised GenerativeAdversarial Network.
WWW
Xiangyu Zhao, Long Xia, Lixin Zou, Hui Liu, Dawei Yin, Jiliang Tang
2020 A conf
Deep Multifaceted Transformers for Multi-objective Ranking in Large-Scale E-commerce Recommender Systems.
CIKM
Yulong Gu, Zhuoye Ding, Shuaiqiang Wang, Lixin Zou, Yiding Liu, Dawei Yin
2020 A conf
Meta-Learning for Neural Relation Classification with Distant Supervision.
CIKM
Zhenzhen Li, Jian-Yun Nie, Benyou Wang, Pan Du, Yuhan Zhang, Lixin Zou, Dongsheng Li
2020 J jnl
Meta-Learning for Neural Relation Classification with Distant Supervision.
CoRR
Zhenzhen Li, Jian-Yun Nie, Benyou Wang, Pan Du, Yuhan Zhang, Lixin Zou, Dongsheng Li
2020 A* conf
Neural Interactive Collaborative Filtering.
SIGIR
Lixin Zou, Long Xia, Yulong Gu, Xiangyu Zhao, Weidong Liu, Jimmy Xiangji Huang, Dawei Yin
2020 J jnl
Neural Interactive Collaborative Filtering.
CoRR
Lixin Zou, Long Xia, Yulong Gu, Xiangyu Zhao, Weidong Liu, Jimmy Xiangji Huang, Dawei Yin
2020 J jnl
Optimal Mixture Weights for Off-Policy Evaluation with Multiple Behavior Policies.
CoRR
Jinlin Lai, Lixin Zou, Jiaxing Song
2020 A conf
Pseudo Dyna-Q: A Reinforcement Learning Framework for Interactive Recommendation.
WSDM
Lixin Zou, Long Xia, Pan Du, Zhuo Zhang, Ting Bai, Weidong Liu, Jian-Yun Nie, Dawei Yin
2020 J jnl
Spatio-Temporal Relation and Attention Learning for Facial Action Unit Detection.
CoRR
Zhiwen Shao, Lixin Zou, Jianfei Cai, Yunsheng Wu, Lizhuang Ma
2020 B conf
Task-based Focal Loss for Adversarially Robust Meta-Learning.
ICPR
Yufan Hou, Lixin Zou, Weidong Liu
2020 A conf
Whole-Chain Recommendations.
CIKM
Xiangyu Zhao, Long Xia, Lixin Zou, Hui Liu, Dawei Yin, Jiliang Tang
2019 A* conf
CTRec: A Long-Short Demands Evolution Model for Continuous-Time Recommendation.
SIGIR
Ting Bai, Lixin Zou, Wayne Xin Zhao, Pan Du, Weidong Liu, Jian-Yun Nie, Ji-Rong Wen
2019 — conf
Reinforcement Learning to Diversify Top-N Recommendation.
DASFAA (2)
Lixin Zou, Long Xia, Zhuoye Ding, Dawei Yin, Jiaxing Song, Weidong Liu
2019 A* conf
Reinforcement Learning to Optimize Long-term User Engagement in Recommender Systems.
KDD
Lixin Zou, Long Xia, Zhuoye Ding, Jiaxing Song, Weidong Liu, Dawei Yin
2019 J jnl
Reinforcement Learning to Optimize Long-term User Engagement in Recommender Systems.
CoRR
Lixin Zou, Long Xia, Zhuoye Ding, Jiaxing Song, Weidong Liu, Dawei Yin
2018 J jnl
CAMF: Context Aware Matrix Factorization for Social Recommendation.
Web Intell.
Yulong Gu, Jiaxing Song, Weidong Liu, Lixin Zou, Yuan Yao
2017 — conf
HDNN-CF: A hybrid deep neural networks collaborative filtering architecture for event recommendation.
SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI
Lixin Zou, Yulong Gu, Jiaxing Song, Weidong Liu, Yuan Yao
2017 — conf
Long short-term memory based recurrent neural networks for collaborative filtering.
SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI
Lixin Zou, Yulong Gu, Jiaxing Song, Weidong Liu, Yuan Yao
2016 B conf
Context Aware Matrix Factorization for Event Recommendation in Event-Based Social Networks.
WI
Yulong Gu, Jiaxing Song, Weidong Liu, Lixin Zou, Yuan Yao
2016 A* conf
HLGPS: A Home Location Global Positioning System in Location-Based Social Networks.
ICDM
Yulong Gu, Jiaxing Song, Weidong Liu, Lixin Zou
2016 B conf
Towards Accurate Relation Extraction from Wikipedia.
WI
Yulong Gu, Jiaxing Song, Weidong Liu, Yuan Yao, Lixin Zou