Lixin Zou
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
53
Venues
17
Active years
2016–2026
Best venue rank
A*
Where they publish
Papers
53 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | Learning to Translate by Translating: Stabilizing the Dual Loop via Semantic-Aware Self-Evolution. | Kui Liu, Mingming Yin, Zuoli Tang, Zihao Li, Chilin Fu, Xiaolu Zhang, Jun Zhou, Lixin Zou, Chenliang Li |
| 2026 | DASFAA | Discrimination Matters: A Simple but Effective Method for Zero-Shot Relation Triplet Extraction. | Yi Song, Qing Cheng, Tieyun Qian, Lixin Zou, Xuming Hu, Wanli Li, Zaiwen Feng |
| 2026 | KDD | Q-Regularized Generative Auto-Bidding: From Suboptimal Trajectories to Optimal Policies. | Mingming Zhang, Na Li, Feiqing Zhuang, Hongyang Zheng, Jiangbing Zhou, Wuyin Wang, Shengjie Sun, Xiaowei Chen, Junxiong Zhu, Lixin Zou, Chenliang Li |
| 2026 | WWW | Scaling Collaborative Filtering with Multimodal Contrastive Fine-tuning. | Liwei Jin, Dan Luo, Lixin Zou, Chenliang Li, Xiangyang Luo, Xixun Lin, Liming Dong, Yifan Zhang |
| 2026 | SIGIR | Generative Auto-Bidding with Unified Modeling and Exploration. | Mingming Zhang, Feiqing Zhuang, Na Li, Shengjie Sun, Xiaowei Chen, Junxiong Zhu, Fei Xiao, Keping Yang, Lixin Zou, Chenliang Li |
| 2025 | ACL | Token-level Preference Self-Alignment Optimization for Multi-style Outline Controllable Generation. | Zihao Li, Xuekong Xu, Ziyao Chen, Lixin Zou, Ethanhjwu Ethanhjwu, Qiang Chen, Chenliang Li |
| 2025 | ACL | Weak-to-Strong Honesty Alignment via Learning-to-Rank Supervision. | Yunfan Xie, Lixin Zou, Dan Luo, Min Tang, Chenliang Li |
| 2025 | ACL | AIGuard: A Benchmark and Lightweight Detection for E-commerce AIGC Risks. | Wenhua Zhang, Weicheng Li, Xuanrong Rao, Lixin Zou, Xiangyang Luo, Chubin Zhuang, Yongjie Hong, Zhen Qin, Hengyun Chang, Chenliang Li, Bo Zheng |
| 2025 | COLING | META-LORA: Memory-Efficient Sample Reweighting for Fine-Tuning Large Language Models. | Weicheng Li, Lixin Zou, Min Tang, Qing Yu, Wanli Li, Chenliang Li |
| 2025 | COLING | CHIFRAUD: A Long-term Web Text Dataset for Chinese Fraud Detection. | Min Tang, Lixin Zou, Zhe Jin, Shujie Cui, Shiuan-Ni Liang, Weiqing Wang |
| 2025 | COLING | Mitigating Language Confusion through Inference-time Intervention. | Yunfan Xie, Lixin Zou, Dan Luo, Min Tang, Chenliang Li, Liming Dong, Xiangyang Luo |
| 2025 | EMNLP | CharacterCraft: Bridging the Literature-Reality Dialogue Gap for Practical Role-Playing Agents. | Xuyan Yin, Xinran Yang, Zihao Li, Lixin Zou, Chenliang Li |
| 2025 | IJCAI | Flow Matching Based Sequential Recommender Model. | Feng Liu, Lixin Zou, Xiangyu Zhao, Min Tang, Liming Dong, Dan Luo, Xiangyang Luo, Chenliang Li |
| 2025 | IJCAI | DANCE: Resource-Efficient Neural Architecture Search with Data-Aware and Continuous Adaptation. | Maolin Wang, Tianshuo Wei, Sheng Zhang, Ruocheng Guo, Wanyu Wang, Shanshan Ye, Lixin Zou, Xuetao Wei, Xiangyu Zhao |
| 2025 | KDD | FairCDR: Transferring Fairness and User Preferences for Cross-Domain Recommendation. | Yongxuan Wu, Yang Liu, Xixun Lin, Hong Zhou, Yanan Cao, Lixin Zou, Yanmin Shang, Yanbing Liu |
| 2025 | WWW | Conformal Graph-level Out-of-distribution Detection with Adaptive Data Augmentation. | Xixun Lin, Yanan Cao, Nan Sun, Lixin Zou, Chuan Zhou, Peng Zhang, Shuai Zhang, Ge Zhang, Jia Wu |
| 2025 | SIGIR | Generative Meta-Learning for Zero-Shot Relation Triplet Extraction. | Wanli Li, Tieyun Qian, Yi Song, Zeyu Zhang, Jiawei Li, Zhuang Chen, Lixin Zou |
| 2024 | ACL | Efficient Sparse Attention needs Adaptive Token Release. | Chaoran Zhang, Lixin Zou, Dan Luo, Xiangyang Luo, Zihao Li, Min Tang, Chenliang Li |
| 2024 | CIKM | Efficient and Robust Regularized Federated Recommendation. | 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 | CIKM | Spectral and Geometric Spaces Representation Regularization for Multi-Modal Sequential Recommendation. | Zihao Li, Xuekong Xu, Zuoli Tang, Lixin Zou, Qian Wang, Chenliang Li |
| 2024 | CIKM | TEXT CAN BE FAIR: Mitigating Popularity Bias with PLMs by Learning Relative Preference. | Zuoli Tang, Zhaoxin Huan, Zihao Li, Shirui Hu, Xiaolu Zhang, Jun Zhou, Lixin Zou, Chenliang Li |
| 2024 | ICDE | LT | Xiaokai Chu, Changying Hao, Shuaiqiang Wang, Dawei Yin, Jiashu Zhao, Lixin Zou, Chenliang Li |
| 2024 | ICML | Graph Neural Stochastic Diffusion for Estimating Uncertainty in Node Classification. | Xixun Lin, Wenxiao Zhang, Fengzhao Shi, Chuan Zhou, Lixin Zou, Xiangyu Zhao, Dawei Yin, Shirui Pan, Yanan Cao |
| 2024 | WWW | Whole Page Unbiased Learning to Rank. | Haitao Mao, Lixin Zou, Yujia Zheng, Jiliang Tang, Xiaokai Chu, Jiashu Zhao, Qian Wang, Dawei Yin |
| 2024 | SIGIR | Unbiased Learning-to-Rank Needs Unconfounded Propensity Estimation. | Dan Luo, Lixin Zou, Qingyao Ai, Zhiyu Chen, Chenliang Li, Dawei Yin, Brian D. Davison |
| 2024 | WSDM | Unified Visual Preference Learning for User Intent Understanding. | Yihua Wen, Si Chen, Yu Tian, Wanxian Guan, Pengjie Wang, Hongbo Deng, Jian Xu, Bo Zheng, Zihao Li, Lixin Zou, Chenliang Li |
| 2023 | CIKM | Tutorial: Data Denoising Metrics in Recommender Systems. | Pengfei Wang, Chenliang Li, Lixin Zou, Zhichao Feng, Kaiyuan Li, Xiaochen Li, Xialong Liu, Shangguang Wang |
| 2023 | ICANN | Learning to Resolve Conflicts in Multi-Task Learning. | Min Tang, Zhe Jin, Lixin Zou, Shiuan-Ni Liang |
| 2023 | RecSys | STRec: Sparse Transformer for Sequential Recommendations. | Chengxi Li, Yejing Wang, Qidong Liu, Xiangyu Zhao, Wanyu Wang, Yiqi Wang, Lixin Zou, Wenqi Fan, Qing Li |
| 2023 | WWW | User Retention-oriented Recommendation with Decision Transformer. | Kesen Zhao, Lixin Zou, Xiangyu Zhao, Maolin Wang, Dawei Yin |
| 2023 | SIGIR | Towards Multi-Interest Pre-training with Sparse Capsule Network. | Zuoli Tang, Lin Wang, Lixin Zou, Xiaolu Zhang, Jun Zhou, Chenliang Li |
| 2023 | WSDM | Model-based Unbiased Learning to Rank. | Dan Luo, Lixin Zou, Qingyao Ai, Zhiyu Chen, Dawei Yin, Brian D. Davison |
| 2022 | CIKM | Approximated Doubly Robust Search Relevance Estimation. | Lixin Zou, Changying Hao, Hengyi Cai, Shuaiqiang Wang, Suqi Cheng, Zhicong Cheng, Wenwen Ye, Simiu Gu, Dawei Yin |
| 2022 | DASFAA | Contrastive Disentangled Graph Convolutional Network for Weakly-Supervised Classification. | Xiaokai Chu, Jiashu Zhao, Xinxin Fan, Di Yao, Zhihua Zhu, Lixin Zou, Dawei Yin, Jingping Bi |
| 2022 | WWW | Generative Session-based Recommendation. | Zhidan Wang, Wenwen Ye, Xu Chen, Wenqiang Zhang, Zhenlei Wang, Lixin Zou, Weidong Liu |
| 2022 | SIGIR | H-ERNIE: A Multi-Granularity Pre-Trained Language Model for Web Search. | Xiaokai Chu, Jiashu Zhao, Lixin Zou, Dawei Yin |
| 2022 | WSDM | Fast Semantic Matching via Flexible Contextualized Interaction. | Wenwen Ye, Yiding Liu, Lixin Zou, Hengyi Cai, Suqi Cheng, Shuaiqiang Wang, Dawei Yin |
| 2021 | IJCAI | Data-Efficient Reinforcement Learning for Malaria Control. | Lixin Zou |
| 2021 | KDD | Pre-trained Language Model based Ranking in Baidu Search. | Lixin Zou, Shengqiang Zhang, Hengyi Cai, Dehong Ma, Suqi Cheng, Shuaiqiang Wang, Daiting Shi, Zhicong Cheng, Dawei Yin |
| 2021 | WWW | UserSim: User Simulation via Supervised GenerativeAdversarial Network. | Xiangyu Zhao, Long Xia, Lixin Zou, Hui Liu, Dawei Yin, Jiliang Tang |
| 2021 | SIGIR | Enhanced Doubly Robust Learning for Debiasing Post-Click Conversion Rate Estimation. | Siyuan Guo, Lixin Zou, Yiding Liu, Wenwen Ye, Suqi Cheng, Shuaiqiang Wang, Hechang Chen, Dawei Yin, Yi Chang |
| 2020 | CIKM | Deep Multifaceted Transformers for Multi-objective Ranking in Large-Scale E-commerce Recommender Systems. | Yulong Gu, Zhuoye Ding, Shuaiqiang Wang, Lixin Zou, Yiding Liu, Dawei Yin |
| 2020 | CIKM | Meta-Learning for Neural Relation Classification with Distant Supervision. | Zhenzhen Li, Jian-Yun Nie, Benyou Wang, Pan Du, Yuhan Zhang, Lixin Zou, Dongsheng Li |
| 2020 | CIKM | Whole-Chain Recommendations. | Xiangyu Zhao, Long Xia, Lixin Zou, Hui Liu, Dawei Yin, Jiliang Tang |
| 2020 | ICPR | Task-based Focal Loss for Adversarially Robust Meta-Learning. | Yufan Hou, Lixin Zou, Weidong Liu |
| 2020 | SIGIR | Neural Interactive Collaborative Filtering. | Lixin Zou, Long Xia, Yulong Gu, Xiangyu Zhao, Weidong Liu, Jimmy Xiangji Huang, Dawei Yin |
| 2020 | WSDM | Pseudo Dyna-Q: A Reinforcement Learning Framework for Interactive Recommendation. | Lixin Zou, Long Xia, Pan Du, Zhuo Zhang, Ting Bai, Weidong Liu, Jian-Yun Nie, Dawei Yin |
| 2019 | DASFAA | Reinforcement Learning to Diversify Top-N Recommendation. | Lixin Zou, Long Xia, Zhuoye Ding, Dawei Yin, Jiaxing Song, Weidong Liu |
| 2019 | KDD | Reinforcement Learning to Optimize Long-term User Engagement in Recommender Systems. | Lixin Zou, Long Xia, Zhuoye Ding, Jiaxing Song, Weidong Liu, Dawei Yin |
| 2019 | SIGIR | CTRec: A Long-Short Demands Evolution Model for Continuous-Time Recommendation. | Ting Bai, Lixin Zou, Wayne Xin Zhao, Pan Du, Weidong Liu, Jian-Yun Nie, Ji-Rong Wen |
| 2017 | UIC | HDNN-CF: A hybrid deep neural networks collaborative filtering architecture for event recommendation. | Lixin Zou, Yulong Gu, Jiaxing Song, Weidong Liu, Yuan Yao |
| 2017 | UIC | Long short-term memory based recurrent neural networks for collaborative filtering. | Lixin Zou, Yulong Gu, Jiaxing Song, Weidong Liu, Yuan Yao |
| 2016 | ICDM | HLGPS: A Home Location Global Positioning System in Location-Based Social Networks. | Yulong Gu, Jiaxing Song, Weidong Liu, Lixin Zou |