Peng Jiang

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 51

Top Topics

User Engagement

Product Recommendation

Profit Maximization

Top Venues

Publications

Jingsen Zhang, Jiakai Tang, Xu Chen, Wenhui Yu, Lantao Hu, Peng Jiang, Han Li
Natural Language Explainable Recommendation with Robustness Enhancement. KDD (2024)
Jiakai Tang, Sunhao Dai, Zexu Sun, Xu Chen, Jun Xu, Wenhui Yu, Lantao Hu, Peng Jiang, Han Li
Towards Robust Recommendation via Decision Boundary-aware Graph Contrastive Learning. CoRR (2024)
Xiaoxiao Xu, Hao Wu, Wenhui Yu, Lantao Hu, Peng Jiang, Kun Gai
Enhancing Interpretability and Effectiveness in Recommendation with Numerical Features via Learning to Contrast the Counterfactual samples. WWW (Companion Volume) (2024)
Yabin Zhang, Wenhui Yu, Erhan Zhang, Xu Chen, Lantao Hu, Peng Jiang, Kun Gai
RecGPT: Generative Personalized Prompts for Sequential Recommendation via ChatGPT Training Paradigm. CoRR (2024)
Ziru Liu, Shuchang Liu, Zijian Zhang, Qingpeng Cai, Xiangyu Zhao, Kesen Zhao, Lantao Hu, Peng Jiang, Kun Gai
Sequential Recommendation for Optimizing Both Immediate Feedback and Long-term Retention. CoRR (2024)
Xiaobei Wang, Shuchang Liu, Xueliang Wang, Qingpeng Cai, Lantao Hu, Han Li, Peng Jiang, Kun Gai, Guangming Xie
Future Impact Decomposition in Request-level Recommendations. KDD (2024)
Zhongxiang Fan, Zhaocheng Liu, Jian Liang, Dongying Kong, Han Li, Peng Jiang, Shuang Li, Kun Gai
Multi-Epoch learning with Data Augmentation for Deep Click-Through Rate Prediction. CoRR (2024)
Jian Jia, Yipei Wang, Yan Li, Honggang Chen, Xuehan Bai, Zhaocheng Liu, Jian Liang, Quan Chen, Han Li, Peng Jiang, Kun Gai
Knowledge Adaptation from Large Language Model to Recommendation for Practical Industrial Application. CoRR (2024)
Zijian Zhang, Shuchang Liu, Jiaao Yu, Qingpeng Cai, Xiangyu Zhao, Chunxu Zhang, Ziru Liu, Qidong Liu, Hongwei Zhao, Lantao Hu, Peng Jiang, Kun Gai
M3oE: Multi-Domain Multi-Task Mixture-of Experts Recommendation Framework. CoRR (2024)
Xiao Lin, Xiaokai Chen, Chenyang Wang, Hantao Shu, Linfeng Song, Biao Li, Peng Jiang
Discrete Conditional Diffusion for Reranking in Recommendation. WWW (Companion Volume) (2024)
Nian Li, Xin Ban, Cheng Ling, Chen Gao, Lantao Hu, Peng Jiang, Kun Gai, Yong Li, Qingmin Liao
Modeling User Fatigue for Sequential Recommendation. SIGIR (2024)
Nian Li, Xin Ban, Cheng Ling, Chen Gao, Lantao Hu, Peng Jiang, Kun Gai, Yong Li, Qingmin Liao
Modeling User Fatigue for Sequential Recommendation. CoRR (2024)
Peilun Zhou, Xiaoxiao Xu, Lantao Hu, Han Li, Peng Jiang
A Model-based Multi-Agent Personalized Short-Video Recommender System. CoRR (2024)
Ziru Liu, Shuchang Liu, Bin Yang, Zhenghai Xue, Qingpeng Cai, Xiangyu Zhao, Zijian Zhang, Lantao Hu, Han Li, Peng Jiang
Modeling User Retention through Generative Flow Networks. KDD (2024)
Ziru Liu, Shuchang Liu, Zijian Zhang, Qingpeng Cai, Xiangyu Zhao, Kesen Zhao, Lantao Hu, Peng Jiang, Kun Gai
Sequential Recommendation for Optimizing Both Immediate Feedback and Long-term Retention. SIGIR (2024)
Chongming Gao, Shiqi Wang, Shijun Li, Jiawei Chen, Xiangnan He, Wenqiang Lei, Biao Li, Yuan Zhang, Peng Jiang
CIRS: Bursting Filter Bubbles by Counterfactual Interactive Recommender System. ACM Trans. Inf. Syst. 42 (1) (2024)
Ziru Liu, Shuchang Liu, Bin Yang, Zhenghai Xue, Qingpeng Cai, Xiangyu Zhao, Zijian Zhang, Lantao Hu, Han Li, Peng Jiang
Modeling User Retention through Generative Flow Networks. CoRR (2024)
Xiaobei Wang, Shuchang Liu, Xueliang Wang, Qingpeng Cai, Lantao Hu, Han Li, Peng Jiang, Guangming Xie
Future Impact Decomposition in Request-level Recommendations. CoRR (2024)
Zijian Zhang, Shuchang Liu, Jiaao Yu, Qingpeng Cai, Xiangyu Zhao, Chunxu Zhang, Ziru Liu, Qidong Liu, Hongwei Zhao, Lantao Hu, Peng Jiang, Kun Gai
oE: Multi-Domain Multi-Task Mixture-of Experts Recommendation Framework. SIGIR (2024)
Shuchang Liu, Qingpeng Cai, Zhankui He, Bowen Sun, Julian J. McAuley, Dong Zheng, Peng Jiang, Kun Gai
Generative Flow Network for Listwise Recommendation. KDD (2023)
Wanqi Xue, Qingpeng Cai, Ruohan Zhan, Dong Zheng, Peng Jiang, Kun Gai, Bo An
ResAct: Reinforcing Long-term Engagement in Sequential Recommendation with Residual Actor. ICLR (2023)
Kesen Zhao, Shuchang Liu, Qingpeng Cai, Xiangyu Zhao, Ziru Liu, Dong Zheng, Peng Jiang, Kun Gai
KuaiSim: A Comprehensive Simulator for Recommender Systems. CoRR (2023)
Chongming Gao, Kexin Huang, Jiawei Chen, Yuan Zhang, Biao Li, Peng Jiang, Shiqi Wang, Zhong Zhang, Xiangnan He
Alleviating Matthew Effect of Offline Reinforcement Learning in Interactive Recommendation. CoRR (2023)
Xiao Lin, Xiaokai Chen, Linfeng Song, Jingwei Liu, Biao Li, Peng Jiang
Tree based Progressive Regression Model for Watch-Time Prediction in Short-video Recommendation. KDD (2023)
Zhenghai Xue, Qingpeng Cai, Tianyou Zuo, Bin Yang, Lantao Hu, Peng Jiang, Kun Gai, Bo An
AdaRec: Adaptive Sequential Recommendation for Reinforcing Long-term User Engagement. CoRR (2023)
Wanqi Xue, Qingpeng Cai, Zhenghai Xue, Shuo Sun, Shuchang Liu, Dong Zheng, Peng Jiang, Kun Gai, Bo An
PrefRec: Recommender Systems with Human Preferences for Reinforcing Long-term User Engagement. KDD (2023)
Jiayin Wang, Weizhi Ma, Chumeng Jiang, Min Zhang, Yuan Zhang, Biao Li, Peng Jiang
Measuring Item Global Residual Value for Fair Recommendation. SIGIR (2023)
Yue Feng, Shuchang Liu, Zhenghai Xue, Qingpeng Cai, Lantao Hu, Peng Jiang, Kun Gai, Fei Sun
A Large Language Model Enhanced Conversational Recommender System. CoRR (2023)
Xiao Lin, Xiaokai Chen, Linfeng Song, Jingwei Liu, Biao Li, Peng Jiang
Tree based Progressive Regression Model for Watch-Time Prediction in Short-video Recommendation. CoRR (2023)
Jiayin Wang, Weizhi Ma, Chumeng Jiang, Min Zhang, Yuan Zhang, Biao Li, Peng Jiang
Measuring Item Global Residual Value for Fair Recommendation. CoRR (2023)
Xiao Lin, Xiaokai Chen, Chenyang Wang, Hantao Shu, Linfeng Song, Biao Li, Peng Jiang
Discrete Conditional Diffusion for Reranking in Recommendation. CoRR (2023)
Zhenghai Xue, Qingpeng Cai, Shuchang Liu, Dong Zheng, Peng Jiang, Kun Gai, Bo An
State Regularized Policy Optimization on Data with Dynamics Shift. NeurIPS (2023)
Chongming Gao, Kexin Huang, Jiawei Chen, Yuan Zhang, Biao Li, Peng Jiang, Shiqi Wang, Zhong Zhang, Xiangnan He
Alleviating Matthew Effect of Offline Reinforcement Learning in Interactive Recommendation. SIGIR (2023)
Yabin Zhang, Weiqi Shao, Xu Chen, Yali Du, Xiaoxiao Xu, Dong Zheng, Changhua Pei, Shuai Zhang, Peng Jiang, Kun Gai
A Multi-Agent Framework for Recommendation with Heterogeneous Sources. IJCNN (2023)
Chongming Gao, Wenqiang Lei, Jiawei Chen, Shiqi Wang, Xiangnan He, Shijun Li, Biao Li, Yuan Zhang, Peng Jiang
CIRS: Bursting Filter Bubbles by Counterfactual Interactive Recommender System. CoRR (2022)
Chongming Gao, Shijun Li, Yuan Zhang, Jiawei Chen, Biao Li, Wenqiang Lei, Peng Jiang, Xiangnan He
KuaiRand: An Unbiased Sequential Recommendation Dataset with Randomly Exposed Videos. CoRR (2022)
Chongming Gao, Shijun Li, Yuan Zhang, Jiawei Chen, Biao Li, Wenqiang Lei, Peng Jiang, Xiangnan He
KuaiRand: An Unbiased Sequential Recommendation Dataset with Randomly Exposed Videos. CIKM (2022)
Shijun Li, Wenqiang Lei, Qingyun Wu, Xiangnan He, Peng Jiang, Tat-Seng Chua
Seamlessly Unifying Attributes and Items: Conversational Recommendation for Cold-start Users. ACM Trans. Inf. Syst. 39 (4) (2021)
Shijun Li, Wenqiang Lei, Qingyun Wu, Xiangnan He, Peng Jiang, Tat-Seng Chua
Seamlessly Unifying Attributes and Items: Conversational Recommendation for Cold-Start Users. CoRR (2020)
Changhua Pei, Yi Zhang, Yongfeng Zhang, Fei Sun, Xiao Lin, Hanxiao Sun, Jian Wu, Peng Jiang, Junfeng Ge, Wenwu Ou, Dan Pei
Personalized re-ranking for recommendation. RecSys (2019)
Changhua Pei, Yi Zhang, Yongfeng Zhang, Fei Sun, Xiao Lin, Hanxiao Sun, Jian Wu, Peng Jiang, Wenwu Ou, Dan Pei
Personalized Context-aware Re-ranking for E-commerce Recommender Systems. CoRR (2019)
Tianshu Lyu, Fei Sun, Peng Jiang, Wenwu Ou, Yan Zhang
Compositional Network Embedding. CoRR (2019)
Changhua Pei, Xinru Yang, Qing Cui, Xiao Lin, Fei Sun, Peng Jiang, Wenwu Ou, Yongfeng Zhang
Value-aware Recommendation based on Reinforced Profit Maximization in E-commerce Systems. CoRR (2019)
Tianshu Lyu, Fei Sun, Peng Jiang, Wenwu Ou, Yan Zhang
Compositional network embedding for link prediction. RecSys (2019)
Changhua Pei, Xinru Yang, Qing Cui, Xiao Lin, Fei Sun, Peng Jiang, Wenwu Ou, Yongfeng Zhang
Value-aware Recommendation based on Reinforcement Profit Maximization. WWW (2019)
Fei Sun, Jun Liu, Jian Wu, Changhua Pei, Xiao Lin, Wenwu Ou, Peng Jiang
BERT4Rec: Sequential Recommendation with Bidirectional Encoder Representations from Transformer. CIKM (2019)
Xiao Lin, Hongjie Chen, Changhua Pei, Fei Sun, Xuanji Xiao, Hanxiao Sun, Yongfeng Zhang, Wenwu Ou, Peng Jiang
A pareto-efficient algorithm for multiple objective optimization in e-commerce recommendation. RecSys (2019)
Fei Sun, Jun Liu, Jian Wu, Changhua Pei, Xiao Lin, Wenwu Ou, Peng Jiang
BERT4Rec: Sequential Recommendation with Bidirectional Encoder Representations from Transformer. CoRR (2019)
Fei Sun, Peng Jiang, Hanxiao Sun, Changhua Pei, Wenwu Ou, Xiaobo Wang
Multi-Source Pointer Network for Product Title Summarization. CIKM (2018)
Fei Sun, Peng Jiang, Hanxiao Sun, Changhua Pei, Wenwu Ou, Xiaobo Wang
Multi-Source Pointer Network for Product Title Summarization. CoRR (2018)
Qiaolin Xia, Peng Jiang, Fei Sun, Yi Zhang, Xiaobo Wang, Zhifang Sui
Modeling Consumer Buying Decision for Recommendation Based on Multi-Task Deep Learning. CIKM (2018)
Peng Jiang, Yadong Zhu, Yi Zhang, Quan Yuan
Life-stage Prediction for Product Recommendation in E-commerce. KDD (2015)
Hongping Fu, Zhendong Niu, Chunxia Zhang, Lu Wang, Peng Jiang, Ji Zhang
Classification of Opinion Questions. ECIR (2013)
Qing Yang, Peng Jiang, Chunxia Zhang, Zhendong Niu
Extracting Fine-Grained Entities Based on Coordinate Graph. NLDB (2013)
Peng Jiang, Huiman Hou, Lijiang Chen, Shimin Chen, Conglei Yao, Chengkai Li, Min Wang
Wiki3C: exploiting wikipedia for context-aware concept categorization. WSDM (2013)
Chunxia Zhang, Zhendong Niu, Peng Jiang, Hongping Fu
Domain-specific term extraction from free texts. FSKD (2012)
Peng Jiang, Qing Yang, Chunxia Zhang, Zhendong Niu, Hongping Fu
A Relation Pattern-Driven Probability Model for Related Entity Retrieval. Int. J. Knowl. Syst. Sci. 3 (1) (2012)
Peng Jiang, Qing Yang, Chunxia Zhang, Zhendong Niu, Hongping Fu
A Probability Model for Related Entity Retrieval Using Relation Pattern. KSEM (2011)
Peng Jiang, Chunxia Zhang, Hongping Fu, Zhendong Niu, Qing Yang
An Approach Based on Tree Kernels for Opinion Mining of Online Product Reviews. ICDM (2010)
Peng Jiang, Chunxia Zhang, Qing Yang, Zhendong Niu
Blog Opinion Retrieval Based on Topic-Opinion Mixture Model. PAKDD (2) (2010)
Peng Jiang, Qing Yang, Chunxia Zhang, Zhendong Niu
BIT at TREC 2010 Blog Track: Faceted Blog Distillation. TREC (2010)
Qing Yang, Peng Jiang, Chunxia Zhang, Zhendong Niu
Reconstruct Logical Hierarchical Sitemap for Related Entity Finding. TREC (2010)
Peng Jiang, Qing Yang, Chunxia Zhang, Zhendong Niu
BIT at TREC 2009 Faceted Blog Distillation Task. TREC (2009)
Peng Jiang, Chunxia Zhang, Guisuo Guo, Zhendong Niu, Dongping Gao
A K-means Approach Based on Concept Hierarchical Tree for Search Results Clustering. FSKD (1) (2009)
Qing Yang, Peng Jiang, Chunxia Zhang, Zhendong Niu
Experiments on Related Entity Finding Track at TREC 2009. TREC (2009)