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2020 – today
- 2024
- [j21]Zhongkun Liu, Zhumin Chen, Zhaochun Ren, Shen Gao, Jun Ma, Pengjie Ren:
Center-retained fine-tuning for conversational question ranking through unsupervised center identification. Inf. Process. Manag. 61(2): 103578 (2024) - [j20]Weiwei Sun, Shuyu Guo, Shuo Zhang, Pengjie Ren, Zhumin Chen, Maarten de Rijke, Zhaochun Ren:
Metaphorical User Simulators for Evaluating Task-oriented Dialogue Systems. ACM Trans. Inf. Syst. 42(1): 17:1-17:29 (2024) - [j19]Chaoyu Shi, Pengjie Ren, Dongjie Fu, Xin Xin, Shansong Yang, Fei Cai, Zhaochun Ren, Zhumin Chen:
Diversifying Sequential Recommendation with Retrospective and Prospective Transformers. ACM Trans. Inf. Syst. 42(5): 132:1-132:37 (2024) - [c83]Shen Gao, Zhengliang Shi, Minghang Zhu, Bowen Fang, Xin Xin, Pengjie Ren, Zhumin Chen, Jun Ma, Zhaochun Ren:
Confucius: Iterative Tool Learning from Introspection Feedback by Easy-to-Difficult Curriculum. AAAI 2024: 18030-18038 - [c82]Jitai Hao, Weiwei Sun, Xin Xin, Qi Meng, Zhumin Chen, Pengjie Ren, Zhaochun Ren:
MEFT: Memory-Efficient Fine-Tuning through Sparse Adapter. ACL (1) 2024: 2375-2388 - [c81]Zhongkun Liu, Zheng Chen, Mengqi Zhang, Zhaochun Ren, Pengjie Ren, Zhumin Chen:
Self-Supervised Position Debiasing for Large Language Models. ACL (Findings) 2024: 2897-2917 - [c80]Pengjie Ren, Chengshun Shi, Shiguang Wu, Mengqi Zhang, Zhaochun Ren, Maarten de Rijke, Zhumin Chen, Jiahuan Pei:
MELoRA: Mini-Ensemble Low-Rank Adapters for Parameter-Efficient Fine-Tuning. ACL (1) 2024: 3052-3064 - [c79]Jiahuan Pei, Irene Viola, Haochen Huang, Junxiao Wang, Moonisa Ahsan, Fanghua Ye, Yiming Jiang, Yao Sai, Di Wang, Zhumin Chen, Pengjie Ren, Pablo César:
Autonomous Workflow for Multimodal Fine-Grained Training Assistants Towards Mixed Reality. ACL (Findings) 2024: 4051-4066 - [c78]Zhengliang Shi, Shuo Zhang, Weiwei Sun, Shen Gao, Pengjie Ren, Zhumin Chen, Zhaochun Ren:
Generate-then-Ground in Retrieval-Augmented Generation for Multi-hop Question Answering. ACL (1) 2024: 7339-7353 - [c77]Yidan Wang, Zhaochun Ren, Weiwei Sun, Jiyuan Yang, Zhixiang Liang, Xin Chen, Ruobing Xie, Su Yan, Xu Zhang, Pengjie Ren, Zhumin Chen, Xin Xin:
Content-Based Collaborative Generation for Recommender Systems. CIKM 2024: 2420-2430 - [c76]Yougang Lyu, Lingyong Yan, Shuaiqiang Wang, Haibo Shi, Dawei Yin, Pengjie Ren, Zhumin Chen, Maarten de Rijke, Zhaochun Ren:
KnowTuning: Knowledge-aware Fine-tuning for Large Language Models. EMNLP 2024: 14535-14556 - [c75]Mengqi Zhang, Xiaotian Ye, Qiang Liu, Pengjie Ren, Shu Wu, Zhumin Chen:
Knowledge Graph Enhanced Large Language Model Editing. EMNLP 2024: 22647-22662 - [c74]Xiaoyu Zhang, Ruobing Xie, Yougang Lyu, Xin Xin, Pengjie Ren, Mingfei Liang, Bo Zhang, Zhanhui Kang, Maarten de Rijke, Zhaochun Ren:
Towards Empathetic Conversational Recommender Systems. RecSys 2024: 84-93 - [c73]Shiguang Wu, Wenda Wei, Mengqi Zhang, Zhumin Chen, Jun Ma, Zhaochun Ren, Maarten de Rijke, Pengjie Ren:
Generative Retrieval as Multi-Vector Dense Retrieval. SIGIR 2024: 1828-1838 - [c72]Xin Xin, Liu Yang, Ziqi Zhao, Pengjie Ren, Zhumin Chen, Jun Ma, Zhaochun Ren:
On the Effectiveness of Unlearning in Session-Based Recommendation. WSDM 2024: 855-863 - [c71]Jiyuan Yang, Yue Ding, Yidan Wang, Pengjie Ren, Zhumin Chen, Fei Cai, Jun Ma, Rui Zhang, Zhaochun Ren, Xin Xin:
Debiasing Sequential Recommenders through Distributionally Robust Optimization over System Exposure. WSDM 2024: 882-890 - [c70]Shen Gao, Jiabao Fang, Quan Tu, Zhitao Yao, Zhumin Chen, Pengjie Ren, Zhaochun Ren:
Generative News Recommendation. WWW 2024: 3444-3453 - [i79]Zhongkun Liu, Zheng Chen, Mengqi Zhang, Zhaochun Ren, Zhumin Chen, Pengjie Ren:
Zero-Shot Position Debiasing for Large Language Models. CoRR abs/2401.01218 (2024) - [i78]Wei Wang, Yujie Lin, Pengjie Ren, Zhumin Chen, Tsunenori Mine, Jianli Zhao, Qiang Zhao, Moyan Zhang, Xianye Ben, Yujun Li:
Privacy-Preserving Sequential Recommendation with Collaborative Confusion. CoRR abs/2401.04423 (2024) - [i77]Jiabao Fang, Shen Gao, Pengjie Ren, Xiuying Chen, Suzan Verberne, Zhaochun Ren:
A Multi-Agent Conversational Recommender System. CoRR abs/2402.01135 (2024) - [i76]Yougang Lyu, Lingyong Yan, Shuaiqiang Wang, Haibo Shi, Dawei Yin, Pengjie Ren, Zhumin Chen, Maarten de Rijke, Zhaochun Ren:
KnowTuning: Knowledge-aware Fine-tuning for Large Language Models. CoRR abs/2402.11176 (2024) - [i75]Mengqi Zhang, Xiaotian Ye, Qiang Liu, Pengjie Ren, Shu Wu, Zhumin Chen:
Knowledge Graph Enhanced Large Language Model Editing. CoRR abs/2402.13593 (2024) - [i74]Pengjie Ren, Chengshun Shi, Shiguang Wu, Mengqi Zhang, Zhaochun Ren, Maarten de Rijke, Zhumin Chen, Jiahuan Pei:
Mini-Ensemble Low-Rank Adapters for Parameter-Efficient Fine-Tuning. CoRR abs/2402.17263 (2024) - [i73]Zhengliang Shi, Shen Gao, Xiuyi Chen, Lingyong Yan, Haibo Shi, Dawei Yin, Zhumin Chen, Pengjie Ren, Suzan Verberne, Zhaochun Ren:
Learning to Use Tools via Cooperative and Interactive Agents. CoRR abs/2403.03031 (2024) - [i72]Shen Gao, Jiabao Fang, Quan Tu, Zhitao Yao, Zhumin Chen, Pengjie Ren, Zhaochun Ren:
Generative News Recommendation. CoRR abs/2403.03424 (2024) - [i71]Jiyuan Yang, Yuanzi Li, Jingyu Zhao, Hanbing Wang, Muyang Ma, Jun Ma, Zhaochun Ren, Mengqi Zhang, Xin Xin, Zhumin Chen, Pengjie Ren:
Uncovering Selective State Space Model's Capabilities in Lifelong Sequential Recommendation. CoRR abs/2403.16371 (2024) - [i70]Yidan Wang, Zhaochun Ren, Weiwei Sun, Jiyuan Yang, Zhixiang Liang, Xin Chen, Ruobing Xie, Su Yan, Xu Zhang, Pengjie Ren, Zhumin Chen, Xin Xin:
Enhanced Generative Recommendation via Content and Collaboration Integration. CoRR abs/2403.18480 (2024) - [i69]Shiguang Wu, Wenda Wei, Mengqi Zhang, Zhumin Chen, Jun Ma, Zhaochun Ren, Maarten de Rijke, Pengjie Ren:
Generative Retrieval as Multi-Vector Dense Retrieval. CoRR abs/2404.00684 (2024) - [i68]Ziqi Zhao, Zhaochun Ren, Liu Yang, Fajie Yuan, Pengjie Ren, Zhumin Chen, Jun Ma, Xin Xin:
Offline Trajectory Generalization for Offline Reinforcement Learning. CoRR abs/2404.10393 (2024) - [i67]Wenhao Zhang, Mengqi Zhang, Shiguang Wu, Jiahuan Pei, Zhaochun Ren, Maarten de Rijke, Zhumin Chen, Pengjie Ren:
ExcluIR: Exclusionary Neural Information Retrieval. CoRR abs/2404.17288 (2024) - [i66]Jiahuan Pei, Irene Viola, Haochen Huang, Junxiao Wang, Moonisa Ahsan, Fanghua Ye, Yiming Jiang, Yao Sai, Di Wang, Zhumin Chen, Pengjie Ren, Pablo César:
Autonomous Workflow for Multimodal Fine-Grained Training Assistants Towards Mixed Reality. CoRR abs/2405.13034 (2024) - [i65]Jitai Hao, Weiwei Sun, Xin Xin, Qi Meng, Zhumin Chen, Pengjie Ren, Zhaochun Ren:
MEFT: Memory-Efficient Fine-Tuning through Sparse Adapter. CoRR abs/2406.04984 (2024) - [i64]Zhengliang Shi, Shuo Zhang, Weiwei Sun, Shen Gao, Pengjie Ren, Zhumin Chen, Zhaochun Ren:
Generate-then-Ground in Retrieval-Augmented Generation for Multi-hop Question Answering. CoRR abs/2406.14891 (2024) - [i63]Xin Sun, Xiao Tang, Abdallah El Ali, Zhuying Li, Xiaoyu Shen, Pengjie Ren, Jan de Wit, Jiahuan Pei, Jos A. Bosch:
Chain-of-Strategy Planning with LLMs: Aligning the Generation of Psychotherapy Dialogue with Strategy in Motivational Interviewing. CoRR abs/2408.06527 (2024) - [i62]Zhiwei Xu, Hangyu Mao, Nianmin Zhang, Xin Xin, Pengjie Ren, Dapeng Li, Bin Zhang, Guoliang Fan, Zhumin Chen, Changwei Wang, Jiangjin Yin:
Beyond Local Views: Global State Inference with Diffusion Models for Cooperative Multi-Agent Reinforcement Learning. CoRR abs/2408.09501 (2024) - [i61]Mengqi Zhang, Bowen Fang, Qiang Liu, Pengjie Ren, Shu Wu, Zhumin Chen, Liang Wang:
Enhancing Multi-hop Reasoning through Knowledge Erasure in Large Language Model Editing. CoRR abs/2408.12456 (2024) - [i60]Xiaoyu Zhang, Ruobing Xie, Yougang Lyu, Xin Xin, Pengjie Ren, Mingfei Liang, Bo Zhang, Zhanhui Kang, Maarten de Rijke, Zhaochun Ren:
Towards Empathetic Conversational Recommender Systems. CoRR abs/2409.10527 (2024) - 2023
- [j18]Qingyao Ai, Ting Bai, Zhao Cao, Yi Chang, Jiawei Chen, Zhumin Chen, Zhiyong Cheng, Shoubin Dong, Zhicheng Dou, Fuli Feng, Shen Gao, Jiafeng Guo, Xiangnan He, Yanyan Lan, Chenliang Li, Yiqun Liu, Ziyu Lyu, Weizhi Ma, Jun Ma, Zhaochun Ren, Pengjie Ren, Zhiqiang Wang, Mingwen Wang, Ji-Rong Wen, Le Wu, Xin Xin, Jun Xu, Dawei Yin, Peng Zhang, Fan Zhang, Weinan Zhang, Min Zhang, Xiaofei Zhu:
Information Retrieval meets Large Language Models: A strategic report from Chinese IR community. AI Open 4: 80-90 (2023) - [j17]Wenchao Sun, Muyang Ma, Pengjie Ren, Yujie Lin, Zhumin Chen, Zhaochun Ren, Jun Ma, Maarten de Rijke:
Parallel Split-Join Networks for Shared Account Cross-Domain Sequential Recommendations. IEEE Trans. Knowl. Data Eng. 35(4): 4106-4123 (2023) - [j16]Xin Xin, Jiyuan Yang, Hanbing Wang, Jun Ma, Pengjie Ren, Hengliang Luo, Xinlei Shi, Zhumin Chen, Zhaochun Ren:
On the User Behavior Leakage from Recommender System Exposure. ACM Trans. Inf. Syst. 41(3): 57:1-57:25 (2023) - [j15]Muyang Ma, Pengjie Ren, Zhumin Chen, Zhaochun Ren, Huasheng Liang, Jun Ma, Maarten de Rijke:
Improving Transformer-based Sequential Recommenders through Preference Editing. ACM Trans. Inf. Syst. 41(3): 71:1-71:24 (2023) - [c69]Yougang Lyu, Piji Li, Yechang Yang, Maarten de Rijke, Pengjie Ren, Yukun Zhao, Dawei Yin, Zhaochun Ren:
Feature-Level Debiased Natural Language Understanding. AAAI 2023: 13353-13361 - [c68]Weiwei Sun, Zhengliang Shi, Shen Gao, Pengjie Ren, Maarten de Rijke, Zhaochun Ren:
Contrastive Learning Reduces Hallucination in Conversations. AAAI 2023: 13618-13626 - [c67]Shen Gao, Zhitao Yao, Chongyang Tao, Xiuying Chen, Pengjie Ren, Zhaochun Ren, Zhumin Chen:
UMSE: Unified Multi-scenario Summarization Evaluation. ACL (Findings) 2023: 3837-3849 - [c66]Weiwei Sun, Hengyi Cai, Hongshen Chen, Pengjie Ren, Zhumin Chen, Maarten de Rijke, Zhaochun Ren:
Answering Ambiguous Questions via Iterative Prompting. ACL (1) 2023: 7669-7683 - [c65]Zhengliang Shi, Weiwei Sun, Shuo Zhang, Zhen Zhang, Pengjie Ren, Zhaochun Ren:
RADE: Reference-Assisted Dialogue Evaluation for Open-Domain Dialogue. ACL (1) 2023: 12856-12875 - [c64]Zihan Wang, Kai Zhao, Yongquan He, Zhumin Chen, Pengjie Ren, Maarten de Rijke, Zhaochun Ren:
Iteratively Learning Representations for Unseen Entities with Inter-Rule Correlations. CIKM 2023: 2534-2543 - [c63]Weiwei Sun, Pengjie Ren, Zhaochun Ren:
Generative Knowledge Selection for Knowledge-Grounded Dialogues. EACL (Findings) 2023: 2032-2043 - [c62]Yougang Lyu, Jitai Hao, Zihan Wang, Kai Zhao, Shen Gao, Pengjie Ren, Zhumin Chen, Fang Wang, Zhaochun Ren:
Multi-Defendant Legal Judgment Prediction via Hierarchical Reasoning. EMNLP (Findings) 2023: 2198-2209 - [c61]Zihan Wang, Ziqi Zhao, Zhumin Chen, Pengjie Ren, Maarten de Rijke, Zhaochun Ren:
Generalizing Few-Shot Named Entity Recognizers to Unseen Domains with Type-Related Features. EMNLP (Findings) 2023: 2228-2240 - [c60]Zhengliang Shi, Shen Gao, Zhen Zhang, Xiuying Chen, Zhumin Chen, Pengjie Ren, Zhaochun Ren:
Towards a Unified Framework for Reference Retrieval and Related Work Generation. EMNLP (Findings) 2023: 5785-5799 - [c59]Wentao Deng, Jiahuan Pei, Keyi Kong, Zhe Chen, Furu Wei, Yujun Li, Zhaochun Ren, Zhumin Chen, Pengjie Ren:
Syllogistic Reasoning for Legal Judgment Analysis. EMNLP 2023: 13997-14009 - [c58]Weiwei Sun, Lingyong Yan, Xinyu Ma, Shuaiqiang Wang, Pengjie Ren, Zhumin Chen, Dawei Yin, Zhaochun Ren:
Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agents. EMNLP 2023: 14918-14937 - [c57]Weiwei Sun, Lingyong Yan, Zheng Chen, Shuaiqiang Wang, Haichao Zhu, Pengjie Ren, Zhumin Chen, Dawei Yin, Maarten de Rijke, Zhaochun Ren:
Learning to Tokenize for Generative Retrieval. NeurIPS 2023 - [c56]Zhaochun Ren, Na Huang, Yidan Wang, Pengjie Ren, Jun Ma, Jiahuan Lei, Xinlei Shi, Hengliang Luo, Joemon M. Jose, Xin Xin:
Contrastive State Augmentations for Reinforcement Learning-Based Recommender Systems. SIGIR 2023: 922-931 - [c55]Xin Xin, Xiangyuan Liu, Hanbing Wang, Pengjie Ren, Zhumin Chen, Jiahuan Lei, Xinlei Shi, Hengliang Luo, Joemon M. Jose, Maarten de Rijke, Zhaochun Ren:
Improving Implicit Feedback-Based Recommendation through Multi-Behavior Alignment. SIGIR 2023: 932-941 - [c54]Shuyu Guo, Shuo Zhang, Weiwei Sun, Pengjie Ren, Zhumin Chen, Zhaochun Ren:
Towards Explainable Conversational Recommender Systems. SIGIR 2023: 2786-2795 - [c53]Xiaoyu Zhang, Xin Xin, Dongdong Li, Wenxuan Liu, Pengjie Ren, Zhumin Chen, Jun Ma, Zhaochun Ren:
Variational Reasoning over Incomplete Knowledge Graphs for Conversational Recommendation. WSDM 2023: 231-239 - [c52]Yujie Lin, Chenyang Wang, Zhumin Chen, Zhaochun Ren, Xin Xin, Qiang Yan, Maarten de Rijke, Xiuzhen Cheng, Pengjie Ren:
A Self-Correcting Sequential Recommender. WWW 2023: 1283-1293 - [i59]Yujie Lin, Zhumin Chen, Zhaochun Ren, Chenyang Wang, Qiang Yan, Maarten de Rijke, Xiuzhen Cheng, Pengjie Ren:
Modeling Sequential Recommendation as Missing Information Imputation. CoRR abs/2301.01762 (2023) - [i58]Yujie Lin, Chenyang Wang, Zhumin Chen, Zhaochun Ren, Xin Xin, Qiang Yan, Maarten de Rijke, Xiuzhen Cheng, Pengjie Ren:
A Self-Correcting Sequential Recommender. CoRR abs/2303.02297 (2023) - [i57]Weiwei Sun, Lingyong Yan, Zheng Chen, Shuaiqiang Wang, Haichao Zhu, Pengjie Ren, Zhumin Chen, Dawei Yin, Maarten de Rijke, Zhaochun Ren:
Learning to Tokenize for Generative Retrieval. CoRR abs/2304.04171 (2023) - [i56]Weiwei Sun, Pengjie Ren, Zhaochun Ren:
Generative Knowledge Selection for Knowledge-Grounded Dialogues. CoRR abs/2304.04836 (2023) - [i55]Weiwei Sun, Lingyong Yan, Xinyu Ma, Pengjie Ren, Dawei Yin, Zhaochun Ren:
Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agent. CoRR abs/2304.09542 (2023) - [i54]Xin Xin, Xiangyuan Liu, Hanbing Wang, Pengjie Ren, Zhumin Chen, Jiahuan Lei, Xinlei Shi, Hengliang Luo, Joemon M. Jose, Maarten de Rijke, Zhaochun Ren:
Improving Implicit Feedback-Based Recommendation through Multi-Behavior Alignment. CoRR abs/2305.05585 (2023) - [i53]Zihan Wang, Kai Zhao, Yongquan He, Zhumin Chen, Pengjie Ren, Maarten de Rijke, Zhaochun Ren:
Iteratively Learning Representations for Unseen Entities with Inter-Rule Correlations. CoRR abs/2305.10531 (2023) - [i52]Zhaochun Ren, Na Huang, Yidan Wang, Pengjie Ren, Jun Ma, Jiahuan Lei, Xinlei Shi, Hengliang Luo, Joemon M. Jose, Xin Xin:
Contrastive State Augmentations for Reinforcement Learning-Based Recommender Systems. CoRR abs/2305.11081 (2023) - [i51]Shen Gao, Zhitao Yao, Chongyang Tao, Xiuying Chen, Pengjie Ren, Zhaochun Ren, Zhumin Chen:
UMSE: Unified Multi-scenario Summarization Evaluation. CoRR abs/2305.16895 (2023) - [i50]Shuyu Guo, Shuo Zhang, Weiwei Sun, Pengjie Ren, Zhumin Chen, Zhaochun Ren:
Towards Explainable Conversational Recommender Systems. CoRR abs/2305.18363 (2023) - [i49]Weiwei Sun, Hengyi Cai, Hongshen Chen, Pengjie Ren, Zhumin Chen, Maarten de Rijke, Zhaochun Ren:
Answering Ambiguous Questions via Iterative Prompting. CoRR abs/2307.03897 (2023) - [i48]Wentao Deng, Jiahuan Pei, Zhaochun Ren, Zhumin Chen, Pengjie Ren:
Intent-calibrated Self-training for Answer Selection in Open-domain Dialogues. CoRR abs/2307.06703 (2023) - [i47]Qingyao Ai, Ting Bai, Zhao Cao, Yi Chang, Jiawei Chen, Zhumin Chen, Zhiyong Cheng, Shoubin Dong, Zhicheng Dou, Fuli Feng, Shen Gao, Jiafeng Guo, Xiangnan He, Yanyan Lan, Chenliang Li, Yiqun Liu, Ziyu Lyu, Weizhi Ma, Jun Ma, Zhaochun Ren, Pengjie Ren, Zhiqiang Wang, Mingwen Wang, Ji-Rong Wen, Le Wu, Xin Xin, Jun Xu, Dawei Yin, Peng Zhang, Fan Zhang, Weinan Zhang, Min Zhang, Xiaofei Zhu:
Information Retrieval Meets Large Language Models: A Strategic Report from Chinese IR Community. CoRR abs/2307.09751 (2023) - [i46]Shen Gao, Zhengliang Shi, Minghang Zhu, Bowen Fang, Xin Xin, Pengjie Ren, Zhumin Chen, Jun Ma:
Confucius: Iterative Tool Learning from Introspection Feedback by Easy-to-Difficult Curriculum. CoRR abs/2308.14034 (2023) - [i45]Zhengliang Shi, Weiwei Sun, Shuo Zhang, Zhen Zhang, Pengjie Ren, Zhaochun Ren:
RADE: Reference-Assisted Dialogue Evaluation for Open-Domain Dialogue. CoRR abs/2309.08156 (2023) - [i44]Zihan Wang, Ziqi Zhao, Zhumin Chen, Pengjie Ren, Maarten de Rijke, Zhaochun Ren:
Generalizing Few-Shot Named Entity Recognizers to Unseen Domains with Type-Related Features. CoRR abs/2310.09846 (2023) - [i43]Weiwei Sun, Zheng Chen, Xinyu Ma, Lingyong Yan, Shuaiqiang Wang, Pengjie Ren, Zhumin Chen, Dawei Yin, Zhaochun Ren:
Instruction Distillation Makes Large Language Models Efficient Zero-shot Rankers. CoRR abs/2311.01555 (2023) - [i42]Shiguang Wu, Xin Xin, Pengjie Ren, Zhumin Chen, Jun Ma, Maarten de Rijke, Zhaochun Ren:
Learning Robust Sequential Recommenders through Confident Soft Labels. CoRR abs/2311.02446 (2023) - [i41]Yougang Lyu, Jitai Hao, Zihan Wang, Kai Zhao, Shen Gao, Pengjie Ren, Zhumin Chen, Fang Wang, Zhaochun Ren:
Multi-Defendant Legal Judgment Prediction via Hierarchical Reasoning. CoRR abs/2312.05762 (2023) - [i40]Jiyuan Yang, Yue Ding, Yidan Wang, Pengjie Ren, Zhumin Chen, Fei Cai, Jun Ma, Rui Zhang, Zhaochun Ren, Xin Xin:
Debiasing Sequential Recommenders through Distributionally Robust Optimization over System Exposure. CoRR abs/2312.07036 (2023) - [i39]Xin Xin, Liu Yang, Ziqi Zhao, Pengjie Ren, Zhumin Chen, Jun Ma, Zhaochun Ren:
On the Effectiveness of Unlearning in Session-Based Recommendation. CoRR abs/2312.14447 (2023) - 2022
- [j14]Yifan Chen, Yang Wang, Pengjie Ren, Meng Wang, Maarten de Rijke:
Bayesian feature interaction selection for factorization machines. Artif. Intell. 302: 103589 (2022) - [j13]Yougang Lyu, Zihan Wang, Zhaochun Ren, Pengjie Ren, Zhumin Chen, Xiaozhong Liu, Yujun Li, Hongsong Li, Hongye Song:
Improving legal judgment prediction through reinforced criminal element extraction. Inf. Process. Manag. 59(1): 102780 (2022) - [j12]Muyang Ma, Pengjie Ren, Zhumin Chen, Zhaochun Ren, Lifan Zhao, Peiyu Liu, Jun Ma, Maarten de Rijke:
Mixed Information Flow for Cross-Domain Sequential Recommendations. ACM Trans. Knowl. Discov. Data 16(4): 64:1-64:32 (2022) - [j11]Wanyu Chen, Pengjie Ren, Fei Cai, Fei Sun, Maarten de Rijke:
Multi-interest Diversification for End-to-end Sequential Recommendation. ACM Trans. Inf. Syst. 40(1): 20:1-20:30 (2022) - [c51]Qintong Li, Piji Li, Zhaochun Ren, Pengjie Ren, Zhumin Chen:
Knowledge Bridging for Empathetic Dialogue Generation. AAAI 2022: 10993-11001 - [c50]Yangjun Zhang, Pengjie Ren, Wentao Deng, Zhumin Chen, Maarten de Rijke:
Improving Multi-label Malevolence Detection in Dialogues through Multi-faceted Label Correlation Enhancement. ACL (1) 2022: 3543-3555 - [c49]Zihan Wang, Na Huang, Fei Sun, Pengjie Ren, Zhumin Chen, Hengliang Luo, Maarten de Rijke, Zhaochun Ren:
Debiasing Learning for Membership Inference Attacks Against Recommender Systems. KDD 2022: 1959-1968 - [c48]Zhaochun Ren, Zhi Tian, Dongdong Li, Pengjie Ren, Liu Yang, Xin Xin, Huasheng Liang, Maarten de Rijke, Zhumin Chen:
Variational Reasoning about User Preferences for Conversational Recommendation. SIGIR 2022: 165-175 - [c47]Mengxue Zhao, Yang Yang, Miao Li, Jingang Wang, Wei Wu, Pengjie Ren, Maarten de Rijke, Zhaochun Ren:
Personalized Abstractive Opinion Tagging. SIGIR 2022: 1066-1076 - [c46]Xin Xin, Tiago Pimentel, Alexandros Karatzoglou, Pengjie Ren, Konstantina Christakopoulou, Zhaochun Ren:
Rethinking Reinforcement Learning for Recommendation: A Prompt Perspective. SIGIR 2022: 1347-1357 - [c45]Jie Zou, Evangelos Kanoulas, Pengjie Ren, Zhaochun Ren, Aixin Sun, Cheng Long:
Improving Conversational Recommender Systems via Transformer-based Sequential Modelling. SIGIR 2022: 2319-2324 - [c44]Guojun Yan, Jiahuan Pei, Pengjie Ren, Zhaochun Ren, Xin Xin, Huasheng Liang, Maarten de Rijke, Zhumin Chen:
ReMeDi: Resources for Multi-domain, Multi-service, Medical Dialogues. SIGIR 2022: 3013-3024 - [i38]Shanshan Wang, Zhumin Chen, Zhaochun Ren, Huasheng Liang, Qiang Yan, Pengjie Ren:
Paying More Attention to Self-attention: Improving Pre-trained Language Models via Attention Guiding. CoRR abs/2204.02922 (2022) - [i37]Xin Xin, Tiago Pimentel, Alexandros Karatzoglou, Pengjie Ren, Konstantina Christakopoulou, Zhaochun Ren:
Rethinking Reinforcement Learning for Recommendation: A Prompt Perspective. CoRR abs/2206.07353 (2022) - [i36]Zihan Wang, Na Huang, Fei Sun, Pengjie Ren, Zhumin Chen, Hengliang Luo, Maarten de Rijke, Zhaochun Ren:
Debiasing Learning for Membership Inference Attacks Against Recommender Systems. CoRR abs/2206.12401 (2022) - [i35]Xin Xin, Jiyuan Yang, Hanbing Wang, Jun Ma, Pengjie Ren, Hengliang Luo, Xinlei Shi, Zhumin Chen, Zhaochun Ren:
On the User Behavior Leakage from Recommender System Exposure. CoRR abs/2210.08435 (2022) - [i34]Yougang Lyu, Piji Li, Yechang Yang, Maarten de Rijke, Pengjie Ren, Yukun Zhao, Dawei Yin, Zhaochun Ren:
Feature-Level Debiased Natural Language Understanding. CoRR abs/2212.05421 (2022) - [i33]Weiwei Sun, Zhengliang Shi, Shen Gao, Pengjie Ren, Maarten de Rijke, Zhaochun Ren:
Contrastive Learning Reduces Hallucination in Conversations. CoRR abs/2212.10400 (2022) - [i32]Xiaoyu Zhang, Xin Xin, Dongdong Li, Wenxuan Liu, Pengjie Ren, Zhumin Chen, Jun Ma, Zhaochun Ren:
Variational Reasoning over Incomplete Knowledge Graphs for Conversational Recommendation. CoRR abs/2212.11868 (2022) - 2021
- [j10]Yangjun Zhang, Pengjie Ren, Maarten de Rijke:
A taxonomy, data set, and benchmark for detecting and classifying malevolent dialogue responses. J. Assoc. Inf. Sci. Technol. 72(12): 1477-1497 (2021) - [j9]Pengjie Ren, Zhumin Chen, Zhaochun Ren, Evangelos Kanoulas, Christof Monz, Maarten de Rijke:
Conversations with Search Engines: SERP-based Conversational Response Generation. ACM Trans. Inf. Syst. 39(4): 47:1-47:29 (2021) - [c43]Yangjun Zhang, Pengjie Ren, Maarten de Rijke:
A Human-machine Collaborative Framework for Evaluating Malevolence in Dialogues. ACL/IJCNLP (1) 2021: 5612-5623 - [c42]Zhongkun Liu, Pengjie Ren, Zhumin Chen, Zhaochun Ren, Maarten de Rijke, Ming Zhou:
Learning to Ask Conversational Questions by Optimizing Levenshtein Distance. ACL/IJCNLP (1) 2021: 5638-5650 - [c41]Minxing Zhang, Zhaochun Ren, Zihan Wang, Pengjie Ren, Zhumin Chen, Pengfei Hu, Yang Zhang:
Membership Inference Attacks Against Recommender Systems. CCS 2021: 864-879 - [c40]Chuan Meng, Pengjie Ren, Zhumin Chen, Zhaochun Ren, Tengxiao Xi, Maarten de Rijke:
Initiative-Aware Self-Supervised Learning for Knowledge-Grounded Conversations. SIGIR 2021: 522-532 - [c39]Pengjie Ren, Zhongkun Liu, Xiaomeng Song, Hongtao Tian, Zhumin Chen, Zhaochun Ren, Maarten de Rijke:
Wizard of Search Engine: Access to Information Through Conversations with Search Engines. SIGIR 2021: 533-543 - [c38]Dongdong Li, Zhaochun Ren, Pengjie Ren, Zhumin Chen, Miao Fan, Jun Ma, Maarten de Rijke:
Semi-Supervised Variational Reasoning for Medical Dialogue Generation. SIGIR 2021: 544-554 - [c37]Zihan Wang, Hongye Song, Zhaochun Ren, Pengjie Ren, Zhumin Chen, Xiaozhong Liu, Hongsong Li, Maarten de Rijke:
Cross-Domain Contract Element Extraction with a Bi-directional Feedback Clause-Element Relation Network. SIGIR 2021: 1003-1012 - [c36]Weiwei Sun, Chuan Meng, Qi Meng, Zhaochun Ren, Pengjie Ren, Zhumin Chen, Maarten de Rijke:
Conversations Powered by Cross-Lingual Knowledge. SIGIR 2021: 1442-1451 - [c35]Weiwei Sun, Shuo Zhang, Krisztian Balog, Zhaochun Ren, Pengjie Ren, Zhumin Chen, Maarten de Rijke:
Simulating User Satisfaction for the Evaluation of Task-oriented Dialogue Systems. SIGIR 2021: 2499-2506 - [c34]Qiannan Cheng, Zhaochun Ren, Yujie Lin, Pengjie Ren, Zhumin Chen, Xiangyuan Liu, Maarten de Rijke:
Long Short-Term Session Search: Joint Personalized Reranking and Next Query Prediction. WWW 2021: 239-248 - [c33]Jiahuan Pei, Pengjie Ren, Maarten de Rijke:
A Cooperative Memory Network for Personalized Task-oriented Dialogue Systems with Incomplete User Profiles. WWW 2021: 1552-1561 - [i31]Jiahuan Pei, Pengjie Ren, Maarten de Rijke:
A Cooperative Memory Network for Personalized Task-oriented Dialogue Systems with Incomplete User Profiles. CoRR abs/2102.08322 (2021) - [i30]Weiwei Sun, Shuo Zhang, Krisztian Balog, Zhaochun Ren, Pengjie Ren, Zhumin Chen, Maarten de Rijke:
Simulating User Satisfaction for the Evaluation of Task-oriented Dialogue Systems. CoRR abs/2105.03748 (2021) - [i29]Dongdong Li, Zhaochun Ren, Pengjie Ren, Zhumin Chen, Miao Fan, Jun Ma, Maarten de Rijke:
Semi-Supervised Variational Reasoning for Medical Dialogue Generation. CoRR abs/2105.06071 (2021) - [i28]Zihan Wang, Hongye Song, Zhaochun Ren, Pengjie Ren, Zhumin Chen, Xiaozhong Liu, Hongsong Li, Maarten de Rijke:
Cross-Domain Contract Element Extraction with a Bi-directional Feedback Clause-Element Relation Network. CoRR abs/2105.06083 (2021) - [i27]Pengjie Ren, Zhongkun Liu, Xiaomeng Song, Hongtao Tian, Zhumin Chen, Zhaochun Ren, Maarten de Rijke:
Wizard of Search Engine: Access to Information Through Conversations with Search Engines. CoRR abs/2105.08301 (2021) - [i26]Muyang Ma, Pengjie Ren, Zhumin Chen, Zhaochun Ren, Huasheng Liang, Jun Ma, Maarten de Rijke:
Improving Transformer-based Sequential Recommenders through Preference Editing. CoRR abs/2106.12120 (2021) - [i25]Shanshan Wang, Pengjie Ren, Zhumin Chen, Zhaochun Ren, Huasheng Liang, Qiang Yan, Evangelos Kanoulas, Maarten de Rijke:
Few-Shot Electronic Health Record Coding through Graph Contrastive Learning. CoRR abs/2106.15467 (2021) - [i24]Zhongkun Liu, Pengjie Ren, Zhumin Chen, Zhaochun Ren, Maarten de Rijke, Ming Zhou:
Learning to Ask Conversational Questions by Optimizing Levenshtein Distance. CoRR abs/2106.15903 (2021) - [i23]Guojun Yan, Jiahuan Pei, Pengjie Ren, Zhumin Chen, Zhaochun Ren, Huasheng Liang:
M^2-MedDialog: A Dataset and Benchmarks for Multi-domain Multi-service Medical Dialogues. CoRR abs/2109.00430 (2021) - [i22]Minxing Zhang, Zhaochun Ren, Zihan Wang, Pengjie Ren, Zhumin Chen, Pengfei Hu, Yang Zhang:
Membership Inference Attacks Against Recommender Systems. CoRR abs/2109.08045 (2021) - 2020
- [j8]Xiao Huang, Pengjie Ren, Zhaochun Ren, Fei Sun, Xiangnan He, Dawei Yin, Maarten de Rijke:
Report on the international workshop on natural language processing for recommendations (NLP4REC 2020) workshop held at WSDM 2020. SIGIR Forum 54(1): 6:1-6:5 (2020) - [j7]Yujie Lin, Pengjie Ren, Zhumin Chen, Zhaochun Ren, Jun Ma, Maarten de Rijke:
Explainable Outfit Recommendation with Joint Outfit Matching and Comment Generation. IEEE Trans. Knowl. Data Eng. 32(8): 1502-1516 (2020) - [c32]Chuan Meng, Pengjie Ren, Zhumin Chen, Christof Monz, Jun Ma, Maarten de Rijke:
RefNet: A Reference-Aware Network for Background Based Conversation. AAAI 2020: 8496-8503 - [c31]Pengjie Ren, Zhumin Chen, Christof Monz, Jun Ma, Maarten de Rijke:
Thinking Globally, Acting Locally: Distantly Supervised Global-to-Local Knowledge Selection for Background Based Conversation. AAAI 2020: 8697-8704 - [c30]Wanyu Chen, Pengjie Ren, Fei Cai, Fei Sun, Maarten de Rijke:
Improving End-to-End Sequential Recommendations with Intent-aware Diversification. CIKM 2020: 175-184 - [c29]Qintong Li, Hongshen Chen, Zhaochun Ren, Pengjie Ren, Zhaopeng Tu, Zhumin Chen:
EmpDG: Multi-resolution Interactive Empathetic Dialogue Generation. COLING 2020: 4454-4466 - [c28]Jiahuan Pei, Pengjie Ren, Christof Monz, Maarten de Rijke:
Retrospective and Prospective Mixture-of-Generators for Task-Oriented Dialogue Response Generation. ECAI 2020: 2148-2155 - [c27]Minghong Xu, Piji Li, Haoran Yang, Pengjie Ren, Zhaochun Ren, Zhumin Chen, Jun Ma:
A Neural Topical Expansion Framework for Unstructured Persona-Oriented Dialogue Generation. ECAI 2020: 2244-2251 - [c26]Shanshan Wang, Pengjie Ren, Zhumin Chen, Zhaochun Ren, Jian-Yun Nie, Jun Ma, Maarten de Rijke:
Coding Electronic Health Records with Adversarial Reinforcement Path Generation. SIGIR 2020: 801-810 - [c25]Nikos Voskarides, Dan Li, Pengjie Ren, Evangelos Kanoulas, Maarten de Rijke:
Query Resolution for Conversational Search with Limited Supervision. SIGIR 2020: 921-930 - [c24]Yujie Lin, Pengjie Ren, Zhumin Chen, Zhaochun Ren, Dongxiao Yu, Jun Ma, Maarten de Rijke, Xiuzhen Cheng:
Meta Matrix Factorization for Federated Rating Predictions. SIGIR 2020: 981-990 - [c23]Chuan Meng, Pengjie Ren, Zhumin Chen, Weiwei Sun, Zhaochun Ren, Zhaopeng Tu, Maarten de Rijke:
DukeNet: A Dual Knowledge Interaction Network for Knowledge-Grounded Conversation. SIGIR 2020: 1151-1160 - [c22]Hongshen Chen, Zhaochun Ren, Pengjie Ren, Dawei Yin, Xiaodong He:
AIIS: The SIGIR 2020 Workshop on Applied Interactive Information Systems. SIGIR 2020: 2448-2450 - [c21]Pengjie Ren, Zhaochun Ren, Fei Sun, Xiangnan He, Dawei Yin, Maarten de Rijke:
NLP4REC: The WSDM 2020 Workshop on Natural Language Processing for Recommendations. WSDM 2020: 907-908 - [i21]Minghong Xu, Piji Li, Haoran Yang, Pengjie Ren, Zhaochun Ren, Zhumin Chen, Jun Ma:
A Neural Topical Expansion Framework for Unstructured Persona-oriented Dialogue Generation. CoRR abs/2002.02153 (2020) - [i20]Pengjie Ren, Zhumin Chen, Zhaochun Ren, Evangelos Kanoulas, Christof Monz, Maarten de Rijke:
Conversations with Search Engines. CoRR abs/2004.14162 (2020) - [i19]Nikos Voskarides, Dan Li, Pengjie Ren, Evangelos Kanoulas, Maarten de Rijke:
Query Resolution for Conversational Search with Limited Supervision. CoRR abs/2005.11723 (2020) - [i18]Anton Steenvoorden, Emanuele Di Gloria, Wanyu Chen, Pengjie Ren, Maarten de Rijke:
Attribute-aware Diversification for Sequential Recommendations. CoRR abs/2008.00783 (2020) - [i17]Phillip Lippe, Pengjie Ren, Hinda Haned, Bart Voorn, Maarten de Rijke:
Diversifying Task-oriented Dialogue Response Generation with Prototype Guided Paraphrasing. CoRR abs/2008.03391 (2020) - [i16]Yangjun Zhang, Pengjie Ren, Maarten de Rijke:
Detecting and Classifying Malevolent Dialogue Responses: Taxonomy, Data and Methodology. CoRR abs/2008.09706 (2020) - [i15]Muyang Ma, Pengjie Ren, Zhumin Chen, Zhaochun Ren, Lifan Zhao, Jun Ma, Maarten de Rijke:
Mixed Information Flow for Cross-domain Sequential Recommendations. CoRR abs/2012.00485 (2020)
2010 – 2019
- 2019
- [j6]Yupeng Hu, Pengjie Ren, Wei Luo, Peng Zhan, Xueqing Li:
Multi-resolution representation with recurrent neural networks application for streaming time series in IoT. Comput. Networks 152: 114-132 (2019) - [c20]Pengjie Ren, Zhumin Chen, Jing Li, Zhaochun Ren, Jun Ma, Maarten de Rijke:
RepeatNet: A Repeat Aware Neural Recommendation Machine for Session-Based Recommendation. AAAI 2019: 4806-4813 - [c19]Shanshan Wang, Pengjie Ren, Zhumin Chen, Zhaochun Ren, Jun Ma, Maarten de Rijke:
Order-free Medicine Combination Prediction with Graph Convolutional Reinforcement Learning. CIKM 2019: 1623-1632 - [c18]Chenggong Zhang, Weijuan Zhang, Daren Zha, Pengjie Ren, Nan Mu:
A Multi-granularity Neural Network for Answer Sentence Selection. IJCNN 2019: 1-7 - [c17]Meirui Wang, Pengjie Ren, Lei Mei, Zhumin Chen, Jun Ma, Maarten de Rijke:
A Collaborative Session-based Recommendation Approach with Parallel Memory Modules. SIGIR 2019: 345-354 - [c16]Yifan Chen, Pengjie Ren, Yang Wang, Maarten de Rijke:
Bayesian Personalized Feature Interaction Selection for Factorization Machines. SIGIR 2019: 665-674 - [c15]Muyang Ma, Pengjie Ren, Yujie Lin, Zhumin Chen, Jun Ma, Maarten de Rijke:
π-Net: A Parallel Information-sharing Network for Shared-account Cross-domain Sequential Recommendations. SIGIR 2019: 685-694 - [c14]Nikos Voskarides, Dan Li, Andreas Panteli, Pengjie Ren:
ILPS at TREC 2019 Conversational Assistant Track. TREC 2019 - [c13]Yujie Lin, Pengjie Ren, Zhumin Chen, Zhaochun Ren, Jun Ma, Maarten de Rijke:
Improving Outfit Recommendation with Co-supervision of Fashion Generation. WWW 2019: 1095-1105 - [c12]Shaojie Jiang, Pengjie Ren, Christof Monz, Maarten de Rijke:
Improving Neural Response Diversity with Frequency-Aware Cross-Entropy Loss. WWW 2019: 2879-2885 - [i14]Shaojie Jiang, Pengjie Ren, Christof Monz, Maarten de Rijke:
Improving Neural Response Diversity with Frequency-Aware Cross-Entropy Loss. CoRR abs/1902.09191 (2019) - [i13]Yangjun Zhang, Pengjie Ren, Maarten de Rijke:
Improving Background Based Conversation with Context-aware Knowledge Pre-selection. CoRR abs/1906.06685 (2019) - [i12]Jiahuan Pei, Pengjie Ren, Maarten de Rijke:
A Modular Task-oriented Dialogue System Using a Neural Mixture-of-Experts. CoRR abs/1907.05346 (2019) - [i11]Chuan Meng, Pengjie Ren, Zhumin Chen, Christof Monz, Jun Ma, Maarten de Rijke:
RefNet: A Reference-aware Network for Background Based Conversation. CoRR abs/1908.06449 (2019) - [i10]Yujie Lin, Pengjie Ren, Zhumin Chen, Zhaochun Ren, Jun Ma, Maarten de Rijke:
Improving Outfit Recommendation with Co-supervision of Fashion Generation. CoRR abs/1908.09104 (2019) - [i9]Pengjie Ren, Zhumin Chen, Christof Monz, Jun Ma, Maarten de Rijke:
Thinking Globally, Acting Locally: Distantly Supervised Global-to-Local Knowledge Selection for Background Based Conversation. CoRR abs/1908.09528 (2019) - [i8]Wanyu Chen, Pengjie Ren, Fei Cai, Maarten de Rijke:
Improving End-to-End Sequential Recommendations with Intent-aware Diversification. CoRR abs/1908.10171 (2019) - [i7]Pengjie Ren, Yujie Lin, Muyang Ma, Zhumin Chen, Zhaochun Ren, Jun Ma, Maarten de Rijke:
Parallel Split-Join Networks for Shared-account Cross-domain Sequential Recommendations. CoRR abs/1910.02448 (2019) - [i6]Yujie Lin, Pengjie Ren, Zhumin Chen, Zhaochun Ren, Dongxiao Yu, Jun Ma, Maarten de Rijke, Xiuzhen Cheng:
From Personalization to Privatization: Meta Matrix Factorization for Private Rating Predictions. CoRR abs/1910.10086 (2019) - [i5]Jiahuan Pei, Pengjie Ren, Christof Monz, Maarten de Rijke:
Retrospective and Prospective Mixture-of-Generators for Task-oriented Dialogue Response Generation. CoRR abs/1911.08151 (2019) - 2018
- [j5]Pengjie Ren, Zhumin Chen, Jun Ma, Shuaiqiang Wang, Zhiwei Zhang, Zhaochun Ren, Tinghuai Ma:
User session level diverse reranking of search results. Neurocomputing 274: 66-79 (2018) - [j4]Pengjie Ren, Zhumin Chen, Zhaochun Ren, Furu Wei, Liqiang Nie, Jun Ma, Maarten de Rijke:
Sentence Relations for Extractive Summarization with Deep Neural Networks. ACM Trans. Inf. Syst. 36(4): 39:1-39:32 (2018) - [c11]Lei Mei, Pengjie Ren, Zhumin Chen, Liqiang Nie, Jun Ma, Jian-Yun Nie:
An Attentive Interaction Network for Context-aware Recommendations. CIKM 2018: 157-166 - [i4]Yujie Lin, Pengjie Ren, Zhumin Chen, Zhaochun Ren, Jun Ma, Maarten de Rijke:
Explainable Fashion Recommendation with Joint Outfit Matching and Comment Generation. CoRR abs/1806.08977 (2018) - [i3]Pengjie Ren, Zhumin Chen, Jing Li, Zhaochun Ren, Jun Ma, Maarten de Rijke:
RepeatNet: A Repeat Aware Neural Recommendation Machine for Session-based Recommendation. CoRR abs/1812.02646 (2018) - 2017
- [j3]Pengjie Ren, Zhumin Chen, Jun Ma, Zhiwei Zhang, Luo Si, Shuaiqiang Wang:
Detecting temporal patterns of user queries. J. Assoc. Inf. Sci. Technol. 68(1): 113-128 (2017) - [j2]Kai-Yuan Cui, Pengjie Ren, Zhumin Chen, Tao Lian, Jun Ma:
Relation Enhanced Neural Model for Type Classification of Entity Mentions with a Fine-Grained Taxonomy. J. Comput. Sci. Technol. 32(4): 814-827 (2017) - [c10]Jing Li, Pengjie Ren, Zhumin Chen, Zhaochun Ren, Tao Lian, Jun Ma:
Neural Attentive Session-based Recommendation. CIKM 2017: 1419-1428 - [c9]Chuanqi Tan, Furu Wei, Pengjie Ren, Weifeng Lv, Ming Zhou:
Entity Linking for Queries by Searching Wikipedia Sentences. EMNLP 2017: 68-77 - [c8]Pengjie Ren, Zhumin Chen, Zhaochun Ren, Furu Wei, Jun Ma, Maarten de Rijke:
Leveraging Contextual Sentence Relations for Extractive Summarization Using a Neural Attention Model. SIGIR 2017: 95-104 - [i2]Chuanqi Tan, Furu Wei, Pengjie Ren, Weifeng Lv, Ming Zhou:
Entity Linking for Queries by Searching Wikipedia Sentences. CoRR abs/1704.02788 (2017) - [i1]Jing Li, Pengjie Ren, Zhumin Chen, Zhaochun Ren, Jun Ma:
Neural Attentive Session-based Recommendation. CoRR abs/1711.04725 (2017) - 2016
- [c7]Pengjie Ren, Furu Wei, Zhumin Chen, Jun Ma, Ming Zhou:
A Redundancy-Aware Sentence Regression Framework for Extractive Summarization. COLING 2016: 33-43 - [c6]Zhiwei Zhang, Jingang Wang, Tao Wu, Pengjie Ren, Zhumin Chen, Luo Si:
Supervised Local Contexts Aggregation for Effective Session Search. ECIR 2016: 58-71 - 2015
- [j1]Pengjie Ren, Zhumin Chen, Jun Ma, Shuaiqiang Wang, Zhiwei Zhang, Zhaochun Ren:
Mining and ranking users' intents behind queries. Inf. Retr. J. 18(6): 504-529 (2015) - [c5]Kai Wu, Jun Ma, Zhumin Chen, Pengjie Ren:
Sleep Quality Evaluation of Active Microblog Users. APWeb 2015: 178-189 - [c4]Kai Wu, Jun Ma, Zhumin Chen, Pengjie Ren:
Analysis of Subjective City Happiness Index Based on Large Scale Microblog Data. APWeb 2015: 365-376 - [c3]Pengjie Ren, Peng Liu, Zhumin Chen, Jun Ma, Xiaomeng Song:
Learning Similarity Functions for Urban Events Detection by Mining Hotline Phone Records. APWeb 2015: 411-423 - 2014
- [c2]Xueqin Sui, Zhumin Chen, Kai Wu, Pengjie Ren, Jun Ma, Fengyu Zhou:
Social Media as Sensor in Real World: Geolocate User with Microblog. NLPCC 2014: 229-237 - 2013
- [c1]Pengjie Ren, Zhumin Chen, Xiaomeng Song, Bin Li, Haopeng Yang, Jun Ma:
Understanding Temporal Intent of User Query Based on Time-Based Query Classification. NLPCC 2013: 334-345
Coauthor Index
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