Peng Jiang

According to our database, Peng Jiang authored at least 58 papers between 2009 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

CIRS: Bursting Filter Bubbles by Counterfactual Interactive Recommender System.

Chongming Gao, Shiqi Wang, Shijun Li, Jiawei Chen, Xiangnan He, Wenqiang Lei, Biao Li, Yuan Zhang, Peng Jiang

ACM Trans. Inf. Syst., January, 2024

Future Impact Decomposition in Request-level Recommendations.

Xiaobei Wang, Shuchang Liu, Xueliang Wang, Qingpeng Cai, Lantao Hu, Han Li, Peng Jiang, Guangming Xie

CoRR, 2024

2023

AdaRec: Adaptive Sequential Recommendation for Reinforcing Long-term User Engagement.

Zhenghai Xue, Qingpeng Cai, Tianyou Zuo, Bin Yang, Lantao Hu, Peng Jiang, Kun Gai, Bo An

CoRR, 2023

KuaiSim: A Comprehensive Simulator for Recommender Systems.

Kesen Zhao, Shuchang Liu, Qingpeng Cai, Xiangyu Zhao, Ziru Liu, Dong Zheng, Peng Jiang, Kun Gai

CoRR, 2023

Discrete Conditional Diffusion for Reranking in Recommendation.

Xiao Lin, Xiaokai Chen, Chenyang Wang, Hantao Shu, Linfeng Song, Biao Li, Peng Jiang

CoRR, 2023

A Large Language Model Enhanced Conversational Recommender System.

Yue Feng, Shuchang Liu, Zhenghai Xue, Qingpeng Cai, Lantao Hu, Peng Jiang, Kun Gai, Fei Sun

CoRR, 2023

Disentangled Causal Embedding With Contrastive Learning For Recommender System.

Weiqi Zhao, Dian Tang, Xin Chen, Dawei Lv, Daoli Ou, Biao Li, Peng Jiang, Kun Gai

Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023

Divide and Conquer: Towards Better Embedding-based Retrieval for Recommender Systems from a Multi-task Perspective.

Yuan Zhang, Xue Dong, Weijie Ding, Biao Li, Peng Jiang, Kun Gai

Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023

Multi-Task Recommendations with Reinforcement Learning.

Ziru Liu, Jiejie Tian, Qingpeng Cai, Xiangyu Zhao, Jingtong Gao, Shuchang Liu, Dayou Chen, Tonghao He, Dong Zheng, Peng Jiang, Kun Gai

Proceedings of the ACM Web Conference 2023, 2023

Exploration and Regularization of the Latent Action Space in Recommendation.

Shuchang Liu, Qingpeng Cai, Bowen Sun, Yuhao Wang, Ji Jiang, Dong Zheng, Peng Jiang, Kun Gai, Xiangyu Zhao, Yongfeng Zhang

Proceedings of the ACM Web Conference 2023, 2023

Two-Stage Constrained Actor-Critic for Short Video Recommendation.

Qingpeng Cai, Zhenghai Xue, Chi Zhang, Wanqi Xue, Shuchang Liu, Ruohan Zhan, Xueliang Wang, Tianyou Zuo, Wentao Xie, Dong Zheng, Peng Jiang, Kun Gai

Proceedings of the ACM Web Conference 2023, 2023

Reinforcing User Retention in a Billion Scale Short Video Recommender System.

Qingpeng Cai, Shuchang Liu, Xueliang Wang, Tianyou Zuo, Wentao Xie, Bin Yang, Dong Zheng, Peng Jiang, Kun Gai

Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023

Measuring Item Global Residual Value for Fair Recommendation.

Jiayin Wang, Weizhi Ma, Chumeng Jiang, Min Zhang, Yuan Zhang, Biao Li, Peng Jiang

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Alleviating Matthew Effect of Offline Reinforcement Learning in Interactive Recommendation.

Chongming Gao, Kexin Huang, Jiawei Chen, Yuan Zhang, Biao Li, Peng Jiang, Shiqi Wang, Zhong Zhang, Xiangnan He

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

State Regularized Policy Optimization on Data with Dynamics Shift.

Zhenghai Xue, Qingpeng Cai, Shuchang Liu, Dong Zheng, Peng Jiang, Kun Gai, Bo An

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

PrefRec: Recommender Systems with Human Preferences for Reinforcing Long-term User Engagement.

Wanqi Xue, Qingpeng Cai, Zhenghai Xue, Shuo Sun, Shuchang Liu, Dong Zheng, Peng Jiang, Kun Gai, Bo An

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Tree based Progressive Regression Model for Watch-Time Prediction in Short-video Recommendation.

Xiao Lin, Xiaokai Chen, Linfeng Song, Jingwei Liu, Biao Li, Peng Jiang

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Generative Flow Network for Listwise Recommendation.

Shuchang Liu, Qingpeng Cai, Zhankui He, Bowen Sun, Julian J. McAuley, Dong Zheng, Peng Jiang, Kun Gai

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

A Multi-Agent Framework for Recommendation with Heterogeneous Sources.

Yabin Zhang, Weiqi Shao, Xu Chen, Yali Du, Xiaoxiao Xu, Dong Zheng, Changhua Pei, Shuai Zhang, Peng Jiang, Kun Gai

Proceedings of the International Joint Conference on Neural Networks, 2023

ResAct: Reinforcing Long-term Engagement in Sequential Recommendation with Residual Actor.

Wanqi Xue, Qingpeng Cai, Ruohan Zhan, Dong Zheng, Peng Jiang, Kun Gai, Bo An

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

PrefRec: Preference-based Recommender Systems for Reinforcing Long-term User Engagement.

Wanqi Xue, Qingpeng Cai, Zhenghai Xue, Shuo Sun, Shuchang Liu, Dong Zheng, Peng Jiang, Bo An

CoRR, 2022

Real-time Short Video Recommendation on Mobile Devices.

Xudong Gong, Qinlin Feng, Yuan Zhang, Jiangling Qin, Weijie Ding, Biao Li, Peng Jiang

CoRR, 2022

Deconfounding Duration Bias in Watch-time Prediction for Video Recommendation.

Ruohan Zhan, Changhua Pei, Qiang Su, Jianfeng Wen, Xueliang Wang, Guanyu Mu, Dong Zheng, Peng Jiang

CoRR, 2022

ResAct: Reinforcing Long-term Engagement in Sequential Recommendation with Residual Actor.

Wanqi Xue, Qingpeng Cai, Ruohan Zhan, Dong Zheng, Peng Jiang, Bo An

CoRR, 2022

Constrained Reinforcement Learning for Short Video Recommendation.

Qingpeng Cai, Ruohan Zhan, Chi Zhang, Jie Zheng, Guangwei Ding, Pinghua Gong, Dong Zheng, Peng Jiang

CoRR, 2022

KuaiRec: A Fully-observed Dataset for Recommender Systems.

Chongming Gao, Shijun Li, Wenqiang Lei, Biao Li, Peng Jiang, Jiawei Chen, Xiangnan He, Jiaxin Mao, Tat-Seng Chua

CoRR, 2022

LBCF: A Large-Scale Budget-Constrained Causal Forest Algorithm.

Meng Ai, Biao Li, Heyang Gong, Qingwei Yu, Shengjie Xue, Yuan Zhang, Yunzhou Zhang, Peng Jiang

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Deconfounding Duration Bias in Watch-time Prediction for Video Recommendation.

Ruohan Zhan, Changhua Pei, Qiang Su, Jianfeng Wen, Xueliang Wang, Guanyu Mu, Dong Zheng, Peng Jiang, Kun Gai

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Make Fairness More Fair: Fair Item Utility Estimation and Exposure Re-Distribution.

Jiayin Wang, Weizhi Ma, Jiayu Li, Hongyu Lu, Min Zhang, Biao Li, Yiqun Liu, Peng Jiang, Shaoping Ma

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Real-time Short Video Recommendation on Mobile Devices.

Xudong Gong, Qinlin Feng, Yuan Zhang, Jiangling Qin, Weijie Ding, Biao Li, Peng Jiang, Kun Gai

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

KuaiRand: An Unbiased Sequential Recommendation Dataset with Randomly Exposed Videos.

Chongming Gao, Shijun Li, Yuan Zhang, Jiawei Chen, Biao Li, Wenqiang Lei, Peng Jiang, Xiangnan He

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

KuaiRec: A Fully-observed Dataset and Insights for Evaluating Recommender Systems.

Chongming Gao, Shijun Li, Wenqiang Lei, Jiawei Chen, Biao Li, Peng Jiang, Xiangnan He, Jiaxin Mao, Tat-Seng Chua

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021

Seamlessly Unifying Attributes and Items: Conversational Recommendation for Cold-start Users.

Shijun Li, Wenqiang Lei, Qingyun Wu, Xiangnan He, Peng Jiang, Tat-Seng Chua

ACM Trans. Inf. Syst., 2021

PASTO: Strategic Parameter Optimization in Recommendation Systems - Probabilistic is Better than Deterministic.

Weicong Ding, Hanlin Tang, Jingshuo Feng, Lei Yuan, Sen Yang, Guangxu Yang, Jie Zheng, Jing Wang, Qiang Su, Dong Zheng, Xuezhong Qiu, Yongqi Liu, Yuxuan Chen, Yang Liu, Chao Song, Dongying Kong, Kai Ren, Peng Jiang, Qiao Lian, Ji Liu

CoRR, 2021

2019

Compositional Network Embedding.

Tianshu Lyu, Fei Sun, Peng Jiang, Wenwu Ou, Yan Zhang

CoRR, 2019

Personalized Context-aware Re-ranking for E-commerce Recommender Systems.

Changhua Pei, Yi Zhang, Yongfeng Zhang, Fei Sun, Xiao Lin, Hanxiao Sun, Jian Wu, Peng Jiang, Wenwu Ou, Dan Pei

CoRR, 2019

Value-aware Recommendation based on Reinforced Profit Maximization in E-commerce Systems.

Changhua Pei, Xinru Yang, Qing Cui, Xiao Lin, Fei Sun, Peng Jiang, Wenwu Ou, Yongfeng Zhang

CoRR, 2019

Value-aware Recommendation based on Reinforcement Profit Maximization.

Changhua Pei, Xinru Yang, Qing Cui, Xiao Lin, Fei Sun, Peng Jiang, Wenwu Ou, Yongfeng Zhang

Proceedings of the World Wide Web Conference, 2019

Personalized re-ranking for recommendation.

Changhua Pei, Yi Zhang, Yongfeng Zhang, Fei Sun, Xiao Lin, Hanxiao Sun, Jian Wu, Peng Jiang, Junfeng Ge, Wenwu Ou, Dan Pei

Proceedings of the 13th ACM Conference on Recommender Systems, 2019

Compositional network embedding for link prediction.

Tianshu Lyu, Fei Sun, Peng Jiang, Wenwu Ou, Yan Zhang

Proceedings of the 13th ACM Conference on Recommender Systems, 2019

A pareto-efficient algorithm for multiple objective optimization in e-commerce recommendation.

Xiao Lin, Hongjie Chen, Changhua Pei, Fei Sun, Xuanji Xiao, Hanxiao Sun, Yongfeng Zhang, Wenwu Ou, Peng Jiang

Proceedings of the 13th ACM Conference on Recommender Systems, 2019

BERT4Rec: Sequential Recommendation with Bidirectional Encoder Representations from Transformer.

Fei Sun, Jun Liu, Jian Wu, Changhua Pei, Xiao Lin, Wenwu Ou, Peng Jiang

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

2018

Modeling Consumer Buying Decision for Recommendation Based on Multi-Task Deep Learning.

Qiaolin Xia, Peng Jiang, Fei Sun, Yi Zhang, Xiaobo Wang, Zhifang Sui

Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

Multi-Source Pointer Network for Product Title Summarization.

Fei Sun, Peng Jiang, Hanxiao Sun, Changhua Pei, Wenwu Ou, Xiaobo Wang

Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

2015

Life-stage Prediction for Product Recommendation in E-commerce.

Peng Jiang, Yadong Zhu, Yi Zhang, Quan Yuan

Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

2013

Wiki3C: exploiting wikipedia for context-aware concept categorization.

Peng Jiang, Huiman Hou, Lijiang Chen, Shimin Chen, Conglei Yao, Chengkai Li, Min Wang

Proceedings of the Sixth ACM International Conference on Web Search and Data Mining, 2013

Extracting Fine-Grained Entities Based on Coordinate Graph.

Qing Yang, Peng Jiang, Chunxia Zhang, Zhendong Niu

Proceedings of the Natural Language Processing and Information Systems, 2013

Classification of Opinion Questions.

Hongping Fu, Zhendong Niu, Chunxia Zhang, Lu Wang, Peng Jiang, Ji Zhang

Proceedings of the Advances in Information Retrieval, 2013

2012

A Relation Pattern-Driven Probability Model for Related Entity Retrieval.

Peng Jiang, Qing Yang, Chunxia Zhang, Zhendong Niu, Hongping Fu

Int. J. Knowl. Syst. Sci., 2012

Domain-specific term extraction from free texts.

Chunxia Zhang, Zhendong Niu, Peng Jiang, Hongping Fu

Proceedings of the 9th International Conference on Fuzzy Systems and Knowledge Discovery, 2012

2011

A Probability Model for Related Entity Retrieval Using Relation Pattern.

Peng Jiang, Qing Yang, Chunxia Zhang, Zhendong Niu, Hongping Fu

Proceedings of the Knowledge Science, Engineering and Management, 2011

2010

Reconstruct Logical Hierarchical Sitemap for Related Entity Finding.

Qing Yang, Peng Jiang, Chunxia Zhang, Zhendong Niu

Proceedings of The Nineteenth Text REtrieval Conference, 2010

BIT at TREC 2010 Blog Track: Faceted Blog Distillation.

Peng Jiang, Qing Yang, Chunxia Zhang, Zhendong Niu

Proceedings of The Nineteenth Text REtrieval Conference, 2010

Blog Opinion Retrieval Based on Topic-Opinion Mixture Model.

Peng Jiang, Chunxia Zhang, Qing Yang, Zhendong Niu

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2010

An Approach Based on Tree Kernels for Opinion Mining of Online Product Reviews.

Peng Jiang, Chunxia Zhang, Hongping Fu, Zhendong Niu, Qing Yang

Proceedings of the ICDM 2010, 2010

2009

Experiments on Related Entity Finding Track at TREC 2009.

Qing Yang, Peng Jiang, Chunxia Zhang, Zhendong Niu

Proceedings of The Eighteenth Text REtrieval Conference, 2009

BIT at TREC 2009 Faceted Blog Distillation Task.

Peng Jiang, Qing Yang, Chunxia Zhang, Zhendong Niu

Proceedings of The Eighteenth Text REtrieval Conference, 2009

A K-means Approach Based on Concept Hierarchical Tree for Search Results Clustering.

Peng Jiang, Chunxia Zhang, Guisuo Guo, Zhendong Niu, Dongping Gao

Proceedings of the Sixth International Conference on Fuzzy Systems and Knowledge Discovery, 2009