Cascade Ranking for Operational E-commerce Search. - Shichen Liu; Fei Xiao; Wenwu Ou; Luo Si (KDD, 2017)

Predicting Online Shopping Search Satisfaction and User Behaviors with Electrodermal Activity. - Yingying Wu; Yiqun Liu 001; Ning Su; Shaoping Ma; Wenwu Ou (WWW (Companion Volume), 2017)

Multi-Source Pointer Network for Product Title Summarization. - Fei Sun 001; Peng Jiang 002; Hanxiao Sun; Changhua Pei; Wenwu Ou; Xiaobo Wang 002 (CIKM, 2018)

Alternating Multi-bit Quantization for Recurrent Neural Networks. - Chen Xu; Jianqiang Yao; Zhouchen Lin; Wenwu Ou; Yuanbin Cao; Zhirong Wang; Hongbin Zha (ICLR (Poster), 2018)

JUMP: a Jointly Predictor for User Click and Dwell Time. - Tengfei Zhou; Hui Qian 001; Zebang Shen; Chao Zhang 029; Chengwei Wang; Shichen Liu; Wenwu Ou (IJCAI, 2018)

Globally Optimized Mutual Influence Aware Ranking in E-Commerce Search. - Tao Zhuang; Wenwu Ou; Zhirong Wang (IJCAI, 2018)

Perceive Your Users in Depth: Learning Universal User Representations from Multiple E-commerce Tasks. - Yabo Ni; Dan Ou; Shichen Liu; Xiang Li; Wenwu Ou; Anxiang Zeng; Luo Si (KDD, 2018)

Learning to Collaborate: Multi-Scenario Ranking via Multi-Agent Reinforcement Learning. - Jun Feng; Heng Li; Minlie Huang; Shichen Liu; Wenwu Ou; Zhirong Wang; Xiaoyan Zhu 001 (WWW, 2018)

Deep Cascade Multi-task Learning for Slot Filling in Chinese E-commerce Shopping Guide Assistant. - Yu Gong; Xusheng Luo; Kenny Q. Zhu; Xi Chen; Wenwu Ou (CoRR, 2018)

Automatic Generation of Chinese Short Product Titles for Mobile Display. - Yu Gong; Xusheng Luo; Kenny Q. Zhu; Shichen Liu; Wenwu Ou (CoRR, 2018)

Automatic Generation of Chinese Short Product Titles for Mobile Display. - Yu Gong; Xusheng Luo; Kenny Q. Zhu; Wenwu Ou; Zhao Li; Lu Duan (AAAI, 2019)

Deep Cascade Multi-Task Learning for Slot Filling in Online Shopping Assistant. - Yu Gong; Xusheng Luo; Yu Zhu 007; Wenwu Ou; Zhao Li; Muhua Zhu; Kenny Q. Zhu; Lu Duan; Xi Chen (AAAI, 2019)

BERT4Rec: Sequential Recommendation with Bidirectional Encoder Representations from Transformer. - Fei Sun 001; Jun Liu; Jian Wu 032; Changhua Pei; Xiao Lin 002; Wenwu Ou; Peng Jiang 002 (CIKM, 2019)

Query-based Interactive Recommendation by Meta-Path and Adapted Attention-GRU. - Yu Zhu 007; Yu Gong; Qingwen Liu 002; Yingcai Ma; Wenwu Ou; Junxiong Zhu; Beidou Wang; Ziyu Guan; Deng Cai 001 (CIKM, 2019)

Exact-K Recommendation via Maximal Clique Optimization. - Yu Gong; Yu Zhu 007; Lu Duan; Qingwen Liu 002; Ziyu Guan; Fei Sun 001; Wenwu Ou; Kenny Q. Zhu (KDD, 2019)

A pareto-efficient algorithm for multiple objective optimization in e-commerce recommendation. - Xiao Lin 002; Hongjie Chen; Changhua Pei; Fei Sun 001; Xuanji Xiao; Hanxiao Sun; Yongfeng Zhang; Wenwu Ou; Peng Jiang 002 (RecSys, 2019)

Compositional network embedding for link prediction. - Tianshu Lyu; Fei Sun 001; Peng Jiang 002; Wenwu Ou; Yan Zhang 004 (RecSys, 2019)

Personalized re-ranking for recommendation. - Changhua Pei; Yi Zhang 001; Yongfeng Zhang; Fei Sun 001; Xiao Lin 002; Hanxiao Sun; Jian Wu 032; Peng Jiang 002; Junfeng Ge; Wenwu Ou; Dan Pei (RecSys, 2019)

Weakly Supervised Co-Training of Query Rewriting andSemantic Matching for e-Commerce. - Rong Xiao 005; Jianhui Ji; Baoliang Cui; Haihong Tang; Wenwu Ou; Yanghua Xiao; Jiwei Tan; Xuan Ju (WSDM, 2019)

Value-aware Recommendation based on Reinforcement Profit Maximization. - Changhua Pei; Xinru Yang; Qing Cui; Xiao Lin 002; Fei Sun 001; Peng Jiang 002; Wenwu Ou; Yongfeng Zhang (WWW, 2019)

Value-aware Recommendation based on Reinforced Profit Maximization in E-commerce Systems. - Changhua Pei; Xinru Yang; Qing Cui; Xiao Lin 002; Fei Sun 001; Peng Jiang 002; Wenwu Ou; Yongfeng Zhang (CoRR, 2019)

Personalized Context-aware Re-ranking for E-commerce Recommender Systems. - Changhua Pei; Yi Zhang 001; Yongfeng Zhang; Fei Sun 001; Xiao Lin 002; Hanxiao Sun; Jian Wu 032; Peng Jiang 002; Wenwu Ou; Dan Pei (CoRR, 2019)

Compositional Network Embedding. - Tianshu Lyu; Fei Sun 001; Peng Jiang 002; Wenwu Ou; Yan Zhang 004 (CoRR, 2019)

Behavior Sequence Transformer for E-commerce Recommendation in Alibaba. - Qiwei Chen; Huan Zhao; Wei Li; Pipei Huang; Wenwu Ou (CoRR, 2019)

Privileged Features Distillation for E-Commerce Recommendations. - Chen Xu; Quan Li; Junfeng Ge; Jinyang Gao; Xiaoyong Yang; Changhua Pei; Hanxiao Sun; Wenwu Ou (CoRR, 2019)

MTBRN: Multiplex Target-Behavior Relation Enhanced Network for Click-Through Rate Prediction. - Yufei Feng; Fuyu Lv; Binbin Hu; Fei Sun 001; Kun Kuang; Yang Liu; Qingwen Liu 002; Wenwu Ou (CIKM, 2020)

EdgeRec: Recommender System on Edge in Mobile Taobao. - Yu Gong; Ziwen Jiang; Yufei Feng; Binbin Hu; Kaiqi Zhao 001; Qingwen Liu 002; Wenwu Ou (CIKM, 2020)

Commonsense Knowledge Adversarial Dataset that Challenges ELECTRA. - Gongqi Lin; Yuan Miao 001; Xiaoyong Yang; Wenwu Ou; Lizhen Cui; Wei Guo 017; Chunyan Miao (ICARCV, 2020)

Privileged Features Distillation at Taobao Recommendations. - Chen Xu; Quan Li; Junfeng Ge; Jinyang Gao; Xiaoyong Yang; Changhua Pei; Fei Sun 001; Jian Wu 032; Hanxiao Sun; Wenwu Ou (KDD, 2020)

Semi-supervised Collaborative Filtering by Text-enhanced Domain Adaptation. - Wenhui Yu; Xiao Lin; Junfeng Ge; Wenwu Ou; Zheng Qin 003 (KDD, 2020)

ATBRG: Adaptive Target-Behavior Relational Graph Network for Effective Recommendation. - Yufei Feng; Binbin Hu; Fuyu Lv; Qingwen Liu 002; Zhiqiang Zhang 012; Wenwu Ou (SIGIR, 2020)

Understanding Echo Chambers in E-commerce Recommender Systems. - Yingqiang Ge; Shuya Zhao; Honglu Zhou; Changhua Pei; Fei Sun 001; Wenwu Ou; Yongfeng Zhang (SIGIR, 2020)

EdgeRec: Recommender System on Edge in Mobile Taobao. - Yu Gong; Ziwen Jiang; Kaiqi Zhao 001; Qingwen Liu 002; Wenwu Ou (CoRR, 2020)

Graph-based Regularization on Embedding Layers for Recommendation. - Yuan Zhang 024; Fei Sun 001; Xiaoyong Yang; Chen Xu; Wenwu Ou; Yan Zhang 004 (ACM Trans. Inf. Syst., 2020)

Personalized Adaptive Meta Learning for Cold-start User Preference Prediction. - Runsheng Yu; Yu Gong; Xu He; Yu Zhu 007; Qingwen Liu 002; Wenwu Ou; Bo An 001 (AAAI, 2021)

Explore User Neighborhood for Real-time E-commerce Recommendation. - Xu Xie; Fei Sun 001; Xiaoyong Yang; Zhao Yang; Jinyang Gao; Wenwu Ou; Bin Cui 001 (ICDE, 2021)

Towards Long-term Fairness in Recommendation. - Yingqiang Ge; Shuchang Liu 001; Ruoyuan Gao; Yikun Xian; Yunqi Li 003; Xiangyu Zhao 001; Changhua Pei; Fei Sun 001; Junfeng Ge; Wenwu Ou; Yongfeng Zhang (WSDM, 2021)

Learning User Representations with Hypercuboids for Recommender Systems. - Shuai Zhang 007; Huoyu Liu; Aston Zhang; Yue Hu; Ce Zhang 001; Yumeng Li; Tanchao Zhu; Shaojian He; Wenwu Ou (WSDM, 2021)

Revisit Recommender System in the Permutation Prospective. - Yufei Feng; Yu Gong; Fei Sun 001; Qingwen Liu 002; Wenwu Ou (CoRR, 2021)

GRN: Generative Rerank Network for Context-wise Recommendation. - Yufei Feng; Binbin Hu; Yu Gong; Fei Sun 001; Qingwen Liu 002; Wenwu Ou (CoRR, 2021)

End-to-End User Behavior Retrieval in Click-Through RatePrediction Model. - Qiwei Chen; Changhua Pei; Shanshan Lv; Chao Li; Junfeng Ge; Wenwu Ou (CoRR, 2021)

From Known to Unknown: Knowledge-guided Transformer for Time-Series Sales Forecasting in Alibaba. - Xinyuan Qi; Kai Hou; Tong Liu; Zhongzhong Yu; Sihao Hu; Wenwu Ou (CoRR, 2021)

Multi-Task Learning with Calibrated Mixture of Insightful Experts. - Sinan Wang; Yumeng Li; Hongyan Li; Tanchao Zhu; Zhao Li 007; Wenwu Ou (ICDE, 2022)

Self-Propagation Graph Neural Network for Recommendation. - Wenhui Yu; Xiao Lin; Jinfei Liu; Junfeng Ge; Wenwu Ou; Zheng Qin 003 (IEEE Trans. Knowl. Data Eng., 2022)

Query-dominant User Interest Network for Large-Scale Search Ranking. - Tong Guo; Xuanping Li; Haitao Yang; Xiao Liang; Yong Yuan; Jingyou Hou; Bingqing Ke; Chao Zhang; Junlin He; Shunyu Zhang; Enyun Yu; Wenwu Ou (CIKM, 2023)

CounterCLR: Counterfactual Contrastive Learning with Non-random Missing Data in Recommendation. - Jun Wang 012; Haoxuan Li 001; Chi Zhang; Dongxu Liang; Enyun Yu; Wenwu Ou; Wenjia Wang (ICDM, 2023)

Unified Language-Vision Pretraining in LLM with Dynamic Discrete Visual Tokenization. - Yang Jin; Kun Xu 005; Liwei Chen; Chao Liao; Jianchao Tan; Quzhe Huang; Bin Chen; Chenyi Lei; An Liu; Chengru Song; Xiaoqiang Lei; Di Zhang; et al. (CoRR, 2023)

Unified Language-Vision Pretraining in LLM with Dynamic Discrete Visual Tokenization. - Yang Jin; Kun Xu 005; Kun Xu 005; Liwei Chen; Chao Liao; Jianchao Tan; Quzhe Huang; Bin Chen; Chengru Song; Dai Meng; Di Zhang; Wenwu Ou; et al. (ICLR, 2024)

TIM: Temporal Interaction Model in Notification System. - Huxiao Ji; Haitao Yang; Linchuan Li; Shunyu Zhang; Cunyi Zhang; Xuanping Li; Wenwu Ou (ICMR, 2024)

Beyond Relevance: Improving User Engagement by Personalization for Short-Video Search. - Wentian Bao; Hu Liu; Kai Zheng 001; Chao Zhang; Shunyu Zhang; Enyun Yu; Wenwu Ou; Yang Song 008 (CoRR, 2024)

LLM4PR: Improving Post-Ranking in Search Engine with Large Language Models. - Yang Yan; Yihao Wang; Chi Zhang; Wenyuan Hou; Kang Pan; Xingkai Ren; Zelun Wu; Zhixin Zhai; Enyun Yu; Wenwu Ou; Yang Song 008 (CoRR, 2024)

Unconstrained Monotonic Calibration of Predictions in Deep Ranking Systems. - Yimeng Bai; Shunyu Zhang; Yang Zhang 072; Hu Liu; Wentian Bao; Enyun Yu; Fuli Feng; Wenwu Ou (SIGIR, 2025)

DimeRec: A Unified Framework for Enhanced Sequential Recommendation via Generative Diffusion Models. - Wuchao Li; Rui Huang; Haijun Zhao; Chi Liu; Kai Zheng 001; Qi Liu 003; Na Mou; Guorui Zhou; Defu Lian; Yang Song 008; Wentian Bao; Enyun Yu; et al. (WSDM, 2025)