Weizhi Ma

According to our database, Weizhi Ma authored at least 93 papers between 2015 and 2024.

Collaborative distances:

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

2024

A comprehensive review of deep learning in EEG-based emotion recognition: classifications, trends, and practical implications.

Weizhi Ma, Yujia Zheng, Tianhao Li, Zhengping Li, Ying Li, Lijun Wang

PeerJ Comput. Sci., 2024

Beyond Utility: Evaluating LLM as Recommender.

Chumeng Jiang, Jiayin Wang, Weizhi Ma, Charles L. A. Clarke, Shuai Wang, Chuhan Wu, Min Zhang

CoRR, 2024

PerSRV: Personalized Sticker Retrieval with Vision-Language Model.

Heng Er Metilda Chee, Jiayin Wang, Zhiqiang Guo, Weizhi Ma, Min Zhang

CoRR, 2024

R^3AG: First Workshop on Refined and Reliable Retrieval Augmented Generation.

Zihan Wang, Xuri Ge, Joemon M. Jose, Haitao Yu, Weizhi Ma, Zhaochun Ren, Xin Xin

CoRR, 2024

Long Term Memory: The Foundation of AI Self-Evolution.

Xun Jiang, Feng Li, Han Zhao, Jiaying Wang, Jun Shao, Shihao Xu, Shu Zhang, Weiling Chen, Xavier Tang, Yize Chen, Mengyue Wu, Weizhi Ma, Mengdi Wang, Tianqiao Chen

CoRR, 2024

StepTool: A Step-grained Reinforcement Learning Framework for Tool Learning in LLMs.

Yuanqing Yu, Zhefan Wang, Weizhi Ma, Zhicheng Guo, Jingtao Zhan, Shuai Wang, Chuhan Wu, Zhiqiang Guo, Min Zhang

CoRR, 2024

Large Language Models as Evaluators for Recommendation Explanations.

Xiaoyu Zhang, Yishan Li, Jiayin Wang, Bowen Sun, Weizhi Ma, Peijie Sun, Min Zhang

CoRR, 2024

Agent Hospital: A Simulacrum of Hospital with Evolvable Medical Agents.

Junkai Li, Siyu Wang, Meng Zhang, Weitao Li, Yunghwei Lai, Xinhui Kang, Weizhi Ma, Yang Liu

CoRR, 2024

Introducing EEG Analyses to Help Personal Music Preference Prediction.

Zhiyu He, Jiayu Li, Weizhi Ma, Min Zhang, Yiqun Liu, Shaoping Ma

CoRR, 2024

A User-Centric Benchmark for Evaluating Large Language Models.

Jiayin Wang, Fengran Mo, Weizhi Ma, Peijie Sun, Min Zhang, Jian-Yun Nie

CoRR, 2024

To Recommend or Not: Recommendability Identification in Conversations with Pre-trained Language Models.

Zhefan Wang, Weizhi Ma, Min Zhang

CoRR, 2024

Common Sense Enhanced Knowledge-based Recommendation with Large Language Model.

Shenghao Yang, Weizhi Ma, Peijie Sun, Min Zhang, Qingyao Ai, Yiqun Liu, Mingchen Cai

CoRR, 2024

A Situation-aware Enhancer for Personalized Recommendation.

Jiayu Li, Peijie Sun, Chumeng Jiang, Weizhi Ma, Qingyao Ai, Min Zhang

CoRR, 2024

Multi-Agent Collaboration Framework for Recommender Systems.

Zhefan Wang, Yuanqing Yu, Wendi Zheng, Weizhi Ma, Min Zhang

CoRR, 2024

EasyRL4Rec: A User-Friendly Code Library for Reinforcement Learning Based Recommender Systems.

Yuanqing Yu, Chongming Gao, Jiawei Chen, Heng Tang, Yuefeng Sun, Qian Chen, Weizhi Ma, Min Zhang

CoRR, 2024

Recommender for Its Purpose: Repeat and Exploration in Food Delivery Recommendations.

Jiayu Li, Aixin Sun, Weizhi Ma, Peijie Sun, Min Zhang

CoRR, 2024

Understanding User Experience in Large Language Model Interactions.

Jiayin Wang, Weizhi Ma, Peijie Sun, Min Zhang, Jian-Yun Nie

CoRR, 2024

DSRP: A Database for Stress Reduction Using Physiological Signals.

Zhengping Li, Weizhi Ma, Junshuai Zhang, Ying Li, Lijun Wang, Yuwen Hao, Xiaoxue Li

IEEE Access, 2024

Intersectional Two-sided Fairness in Recommendation.

Yifan Wang, Peijie Sun, Weizhi Ma, Min Zhang, Yuan Zhang, Peng Jiang, Shaoping Ma

Proceedings of the ACM on Web Conference 2024, 2024

EasyRL4Rec: An Easy-to-use Library for Reinforcement Learning Based Recommender Systems.

Yuanqing Yu, Chongming Gao, Jiawei Chen, Heng Tang, Yuefeng Sun, Qian Chen, Weizhi Ma, Min Zhang

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

Sequential Recommendation with Latent Relations based on Large Language Model.

Shenghao Yang, Weizhi Ma, Peijie Sun, Qingyao Ai, Yiqun Liu, Mingchen Cai, Min Zhang

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

MACRec: A Multi-Agent Collaboration Framework for Recommendation.

Zhefan Wang, Yuanqing Yu, Wendi Zheng, Weizhi Ma, Min Zhang

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

Aiming at the Target: Filter Collaborative Information for Cross-Domain Recommendation.

Hanyu Li, Weizhi Ma, Peijie Sun, Jiayu Li, Cunxiang Yin, Yancheng He, Guoqiang Xu, Min Zhang, Shaoping Ma

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

R³AG: First Workshop on Refined and Reliable Retrieval Augmented Generation.

Zihan Wang, Xuri Ge, Joemon M. Jose, Haitao Yu, Weizhi Ma, Zhaochun Ren, Xin Xin

Proceedings of the 2024 Annual International ACM SIGIR Conference on Research and Development in Information Retrieval in the Asia Pacific Region, 2024

Large Language Models as Evaluators for Recommendation Explanations.

Xiaoyu Zhang, Yishan Li, Jiayin Wang, Bowen Sun, Weizhi Ma, Peijie Sun, Min Zhang

Proceedings of the 18th ACM Conference on Recommender Systems, 2024

Right Tool, Right Job: Recommendation for Repeat and Exploration Consumption in Food Delivery.

Jiayu Li, Aixin Sun, Weizhi Ma, Peijie Sun, Min Zhang

Proceedings of the 18th ACM Conference on Recommender Systems, 2024

ReChorus2.0: A Modular and Task-Flexible Recommendation Library.

Jiayu Li, Hanyu Li, Zhiyu He, Weizhi Ma, Peijie Sun, Min Zhang, Shaoping Ma

Proceedings of the 18th ACM Conference on Recommender Systems, 2024

Unifying Graph Convolution and Contrastive Learning in Collaborative Filtering.

Yihong Wu, Le Zhang, Fengran Mo, Tianyu Zhu, Weizhi Ma, Jian-Yun Nie

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

A User-Centric Multi-Intent Benchmark for Evaluating Large Language Models.

Jiayin Wang, Fengran Mo, Weizhi Ma, Peijie Sun, Min Zhang, Jian-Yun Nie

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Aligning Explanations for Recommendation with Rating and Feature via Maximizing Mutual Information.

Yurou Zhao, Yiding Sun, Ruidong Han, Fei Jiang, Lu Guan, Xiang Li, Wei Lin, Weizhi Ma, Jiaxin Mao

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

SiTunes: A Situational Music Recommendation Dataset with Physiological and Psychological Signals.

Vadim Grigorev, Jiayu Li, Weizhi Ma, Zhiyu He, Min Zhang, Yiqun Liu, Ming Yan, Ji Zhang

Proceedings of the 2024 ACM SIGIR Conference on Human Information Interaction and Retrieval, 2024

Citation-Enhanced Generation for LLM-based Chatbots.

Weitao Li, Junkai Li, Weizhi Ma, Yang Liu

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Jointly Modeling Spatio-Temporal Features of Tactile Signals for Action Classification.

Jimmy Lin, Junkai Li, Jiasi Gao, Weizhi Ma, Yang Liu

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Dataset for MTS4WaterR: Predicting Gate Operation in Open Canal Control with Multi-Task Sequential Model.

Shiyuan Guo, Weizhi Ma, Zhigang Yang, Jinlong Liu, Zhongjing Wang, Min Zhang

Dataset, December, 2023

A Survey on Dropout Methods and Experimental Verification in Recommendation.

Yangkun Li, Weizhi Ma, Chong Chen, Min Zhang, Yiqun Liu, Shaoping Ma, Yuekui Yang

IEEE Trans. Knowl. Data Eng., July, 2023

User Perception of Recommendation Explanation: Are Your Explanations What Users Need?

Hongyu Lu, Weizhi Ma, Yifan Wang, Min Zhang, Xiang Wang, Yiqun Liu, Tat-Seng Chua, Shaoping Ma

ACM Trans. Inf. Syst., April, 2023

User Behavior Simulation for Search Result Re-ranking.

Junqi Zhang, Yiqun Liu, Jiaxin Mao, Weizhi Ma, Jiazheng Xu, Shaoping Ma, Qi Tian

ACM Trans. Inf. Syst., January, 2023

Sequential Recommendation with Multiple Contrast Signals.

Chenyang Wang, Weizhi Ma, Chong Chen, Min Zhang, Yiqun Liu, Shaoping Ma

ACM Trans. Inf. Syst., January, 2023

Revisiting Negative Sampling vs. Non-sampling in Implicit Recommendation.

Chong Chen, Weizhi Ma, Min Zhang, Chenyang Wang, Yiqun Liu, Shaoping Ma

ACM Trans. Inf. Syst., January, 2023

Information Retrieval meets Large Language Models: A strategic report from Chinese IR community.

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

AI Open, January, 2023

A Survey on the Fairness of Recommender Systems.

Yifan Wang, Weizhi Ma, Min Zhang, Yiqun Liu, Shaoping Ma

ACM Trans. Inf. Syst., 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

Intent-aware Ranking Ensemble for Personalized Recommendation.

Jiayu Li, Peijie Sun, Zhefan Wang, Weizhi Ma, Yangkun Li, Min Zhang, Zhoutian Feng, Daiyue Xue

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

Two-sided Calibration for Quality-aware Responsible Recommendation.

Chenyang Wang, Yankai Liu, Yuanqing Yu, Weizhi Ma, Min Zhang, Yiqun Liu, Haitao Zeng, Junlan Feng, Chao Deng

Proceedings of the 17th ACM Conference on Recommender Systems, 2023

Collaborative Word-based Pre-trained Item Representation for Transferable Recommendation.

Shenghao Yang, Chenyang Wang, Yankai Liu, Kangping Xu, Weizhi Ma, Yiqun Liu, Min Zhang, Haitao Zeng, Junlan Feng, Chao Deng

Proceedings of the IEEE International Conference on Data Mining, 2023

Research on Real-time Early Warning Mechanism of Aviation Safety Based on Finite State Machine Underlying in QAR Stream Data.

Tianhao Li, Yujia Zheng, Haoan Zhang, Weizhi Ma, Ying Li

Proceedings of the 7th International Conference on Big Data and Internet of Things, 2023

2022

LegalGNN: Legal Information Enhanced Graph Neural Network for Recommendation.

Jun Yang, Weizhi Ma, Min Zhang, Xin Zhou, Yiqun Liu, Shaoping Ma

ACM Trans. Inf. Syst., 2022

Contextualized Fairness for Recommender Systems in Premium Scenarios.

Yangkun Li, Mohamed-Laid Hedia, Weizhi Ma, Hongyu Lu, Min Zhang, Yiqun Liu, Shaoping Ma

Big Data Res., 2022

A Cooperative Neural Information Retrieval Pipeline with Knowledge Enhanced Automatic Query Reformulation.

Xiangsheng Li, Jiaxin Mao, Weizhi Ma, Zhijing Wu, Yiqun Liu, Min Zhang, Shaoping Ma, Zhaowei Wang, Xiuqiang He

Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

Towards Representation Alignment and Uniformity in Collaborative Filtering.

Chenyang Wang, Yuanqing Yu, Weizhi Ma, Min Zhang, Chong Chen, Yiqun Liu, Shaoping Ma

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

Target Interest Distillation for Multi-Interest Recommendation.

Chenyang Wang, Zhefan Wang, Yankai Liu, Yang Ge, Weizhi Ma, Min Zhang, Yiqun Liu, Junlan Feng, Chao Deng, Shaoping Ma

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

Global and Local Feature Interaction with Vision Transformer for Few-shot Image Classification.

Mingze Sun, Weizhi Ma, Yang Liu

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

PEMP: Leveraging Physics Properties to Enhance Molecular Property Prediction.

Yuancheng Sun, Yimeng Chen, Weizhi Ma, Wenhao Huang, Kang Liu, Zhiming Ma, Wei-Ying Ma, Yanyan Lan

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

2021

Toward Dynamic User Intention: Temporal Evolutionary Effects of Item Relations in Sequential Recommendation.

Chenyang Wang, Weizhi Ma, Min Zhang, Chong Chen, Yiqun Liu, Shaoping Ma

ACM Trans. Inf. Syst., 2021

A Hybrid Framework for Session Context Modeling.

Jia Chen, Jiaxin Mao, Yiqun Liu, Ziyi Ye, Weizhi Ma, Chao Wang, Min Zhang, Shaoping Ma

ACM Trans. Inf. Syst., 2021

Know Yourself: Physical and Psychological Self-Awareness With Lifelog.

Jiayu Li, Weizhi Ma, Min Zhang, Pengyu Wang, Yiqun Liu, Shaoping Ma

Frontiers Digit. Health, 2021

A Large-Scale Rich Context Query and Recommendation Dataset in Online Knowledge-Sharing.

Bin Hao, Min Zhang, Weizhi Ma, Shaoyun Shi, Xinxing Yu, Houzhi Shan, Yiqun Liu, Shaoping Ma

CoRR, 2021

Topic-enhanced knowledge-aware retrieval model for diverse relevance estimation.

Xiangsheng Li, Jiaxin Mao, Weizhi Ma, Yiqun Liu, Min Zhang, Shaoping Ma, Zhaowei Wang, Xiuqiang He

Proceedings of the WWW '21: The Web Conference 2021, 2021

Temporal Cross-Effects in Knowledge Tracing.

Chenyang Wang, Weizhi Ma, Min Zhang, Chuancheng Lv, Fengyuan Wan, Huijie Lin, Taoran Tang, Yiqun Liu, Shaoping Ma

Proceedings of the WSDM '21, 2021

Standing in Your Shoes: External Assessments for Personalized Recommender Systems.

Hongyu Lu, Weizhi Ma, Min Zhang, Maarten de Rijke, Yiqun Liu, Shaoping Ma

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Investigating Session Search Behavior with Knowledge Graphs.

Xiangsheng Li, Maarten de Rijke, Yiqun Liu, Jiaxin Mao, Weizhi Ma, Min Zhang, Shaoping Ma

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Privacy-Aware Remote Information Retrieval User Experiments Logging Tool.

Hanyu Li, Hongyu Lu, Songhao Huang, Weizhi Ma, Min Zhang, Yiqun Liu, Shaoping Ma

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Diversify or Not: Dynamic Diversification for Personalized Recommendation.

Bin Hao, Min Zhang, Cheng Guo, Weizhi Ma, Yiqun Liu, Shaoping Ma

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2021

A Difficulty-Aware Framework for Churn Prediction and Intervention in Games.

Jiayu Li, Hongyu Lu, Chenyang Wang, Weizhi Ma, Min Zhang, Xiangyu Zhao, Wei Qi, Yiqun Liu, Shaoping Ma

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

WG4Rec: Modeling Textual Content with Word Graph for News Recommendation.

Shaoyun Shi, Weizhi Ma, Zhen Wang, Min Zhang, Kun Fang, Jingfang Xu, Yiqun Liu, Shaoping Ma

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Incorporating Query Reformulating Behavior into Web Search Evaluation.

Jia Chen, Yiqun Liu, Jiaxin Mao, Fan Zhang, Tetsuya Sakai, Weizhi Ma, Min Zhang, Shaoping Ma

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Modelling Dynamic Item Complementarity with Graph Neural Network for Recommendation.

Yingwai Shiu, Weizhi Ma, Min Zhang, Yiqun Liu, Shaoping Ma

Proceedings of the Information Retrieval - 27th China Conference, 2021

Graph Heterogeneous Multi-Relational Recommendation.

Chong Chen, Weizhi Ma, Min Zhang, Zhaowei Wang, Xiuqiang He, Chenyang Wang, Yiqun Liu, Shaoping Ma

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Efficient Non-Sampling Factorization Machines for Optimal Context-Aware Recommendation.

Chong Chen, Min Zhang, Weizhi Ma, Yiqun Liu, Shaoping Ma

Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Models Versus Satisfaction: Towards a Better Understanding of Evaluation Metrics.

Fan Zhang, Jiaxin Mao, Yiqun Liu, Xiaohui Xie, Weizhi Ma, Min Zhang, Shaoping Ma

Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Cascade or Recency: Constructing Better Evaluation Metrics for Session Search.

Fan Zhang, Jiaxin Mao, Yiqun Liu, Weizhi Ma, Min Zhang, Shaoping Ma

Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Make It a Chorus: Knowledge- and Time-aware Item Modeling for Sequential Recommendation.

Chenyang Wang, Min Zhang, Weizhi Ma, Yiqun Liu, Shaoping Ma

Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Beyond User Embedding Matrix: Learning to Hash for Modeling Large-Scale Users in Recommendation.

Shaoyun Shi, Weizhi Ma, Min Zhang, Yongfeng Zhang, Xinxing Yu, Houzhi Shan, Yiqun Liu, Shaoping Ma

Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Jointly Non-Sampling Learning for Knowledge Graph Enhanced Recommendation.

Chong Chen, Min Zhang, Weizhi Ma, Yiqun Liu, Shaoping Ma

Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Incorporating Knowledge and Content Information to Boost News Recommendation.

Zhen Wang, Weizhi Ma, Min Zhang, Weipeng Chen, Jingfang Xu, Yiqun Liu, Shaoping Ma

Proceedings of the Natural Language Processing and Chinese Computing, 2020

Negative Feedback Aware Hybrid Sequential Neural Recommendation Model.

Bin Hao, Min Zhang, Weizhi Ma, Shaoyun Shi, Xinxing Yu, Houzhi Shan, Yiqun Liu, Shaoping Ma

Proceedings of the Natural Language Processing and Chinese Computing, 2020

A Multi-level Interactive Lifelog Search Engine with User Feedback.

Jiayu Li, Min Zhang, Weizhi Ma, Yiqun Liu, Shaoping Ma

Proceedings of the Third ACM Workshop on Lifelog Search Challenge, 2020

BERT-PLI: Modeling Paragraph-Level Interactions for Legal Case Retrieval.

Yunqiu Shao, Jiaxin Mao, Yiqun Liu, Weizhi Ma, Ken Satoh, Min Zhang, Shaoping Ma

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Neural Logic Reasoning.

Shaoyun Shi, Hanxiong Chen, Weizhi Ma, Jiaxin Mao, Min Zhang, Yongfeng Zhang

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Learning Better Representations for Neural Information Retrieval with Graph Information.

Xiangsheng Li, Maarten de Rijke, Yiqun Liu, Jiaxin Mao, Weizhi Ma, Min Zhang, Shaoping Ma

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Efficient Heterogeneous Collaborative Filtering without Negative Sampling for Recommendation.

Chong Chen, Min Zhang, Yongfeng Zhang, Weizhi Ma, Yiqun Liu, Shaoping Ma

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Modeling Item-Specific Temporal Dynamics of Repeat Consumption for Recommender Systems.

Chenyang Wang, Min Zhang, Weizhi Ma, Yiqun Liu, Shaoping Ma

Proceedings of the World Wide Web Conference, 2019

Jointly Learning Explainable Rules for Recommendation with Knowledge Graph.

Weizhi Ma, Min Zhang, Yue Cao, Woojeong Jin, Chenyang Wang, Yiqun Liu, Shaoping Ma, Xiang Ren

Proceedings of the World Wide Web Conference, 2019

Quality Effects on User Preferences and Behaviorsin Mobile News Streaming.

Hongyu Lu, Min Zhang, Weizhi Ma, Yunqiu Shao, Yiqun Liu, Shaoping Ma

Proceedings of the World Wide Web Conference, 2019

Effects of User Negative Experience in Mobile News Streaming.

Hongyu Lu, Min Zhang, Weizhi Ma, Ce Wang, Feng Xia, Yiqun Liu, Leyu Lin, Shaoping Ma

Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

An Efficient Adaptive Transfer Neural Network for Social-aware Recommendation.

Chong Chen, Min Zhang, Chenyang Wang, Weizhi Ma, Minming Li, Yiqun Liu, Shaoping Ma

Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

Stance Influences Your Thoughts: Psychology-Inspired Social Media Analytics.

Weizhi Ma, Zhen Wang, Min Zhang, Jing Qian, Huanbo Luan, Yiqun Liu, Shaoping Ma

Proceedings of the Natural Language Processing and Chinese Computing, 2019

2018

Your Tweets Reveal What You Like: Introducing Cross-media Content Information into Multi-domain Recommendation.

Weizhi Ma, Min Zhang, Chenyang Wang, Cheng Luo, Yiqun Liu, Shaoping Ma

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

2017

A Two-step Information Accumulation Strategy for Learning from Highly Imbalanced Data.

Bin Liu, Min Zhang, Weizhi Ma, Xin Li, Yiqun Liu, Shaoping Ma

Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

2016

Finding the True Crowds: User Filtering in Microblogs.

Bin Hao, Min Zhang, Weizhi Ma, Jiashen Sun, Yiqun Liu, Shaoping Ma, Xuan Zhu, Hengliang Luo

Proceedings of the Natural Language Understanding and Intelligent Applications, 2016

Multi-Grained Role Labeling Based on Multi-Modality Information for Real Customer Service Telephone Conversation.

Weizhi Ma, Min Zhang, Yiqun Liu, Shaoping Ma

Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

2015

Beyond Your Interests: Exploring the Information Behind User Tags.

Weizhi Ma, Min Zhang, Yiqun Liu, Shaoping Ma, Lingfeng Chen

Proceedings of the Natural Language Processing and Chinese Computing - 4th CCF Conference, 2015