Chen Ma

According to our database, Chen Ma authored at least 60 papers between 2013 and 2024.

Collaborative distances:

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

2024

A survey on large language model based autonomous agents.

Lei Wang, Chen Ma, Xueyang Feng, Zeyu Zhang, Hao Yang, Jingsen Zhang, Zhiyuan Chen, Jiakai Tang, Xu Chen, Yankai Lin, Wayne Xin Zhao, Zhewei Wei, Jirong Wen

Frontiers Comput. Sci., December, 2024

Result Diversification in Search and Recommendation: A Survey.

Haolun Wu, Yansen Zhang, Chen Ma, Fuyuan Lyu, Bowei He, Bhaskar Mitra, Xue Liu

IEEE Trans. Knowl. Data Eng., October, 2024

Enhancing CTR Prediction in Recommendation Domain with Search Query Representation.

Yuening Wang, Chen Ma, Yaochen Hu, Wei Guo, Yingxue Zhang, Huifeng Guo, Yong Liu, Mark Coates

CoRR, 2024

Comprehending Knowledge Graphs with Large Language Models for Recommender Systems.

Ziqiang Cui, Yunpeng Weng, Xing Tang, Fuyuan Lyu, Dugang Liu, Xiuqiang He, Chen Ma

CoRR, 2024

RevisEval: Improving LLM-as-a-Judge via Response-Adapted References.

Qiyuan Zhang, Yufei Wang, Tiezheng Yu, Yuxin Jiang, Chuhan Wu, Liangyou Li, Yasheng Wang, Xin Jiang, Lifeng Shang, Ruiming Tang, Fuyuan Lyu, Chen Ma

CoRR, 2024

Mitigating Large Language Model Hallucination with Faithful Finetuning.

Minda Hu, Bowei He, Yufei Wang, Liangyou Li, Chen Ma, Irwin King

CoRR, 2024

Diffusion-based Contrastive Learning for Sequential Recommendation.

Ziqiang Cui, Haolun Wu, Bowei He, Ji Cheng, Chen Ma

CoRR, 2024

A Survey on the Memory Mechanism of Large Language Model based Agents.

Zeyu Zhang, Xiaohe Bo, Chen Ma, Rui Li, Xu Chen, Quanyu Dai, Jieming Zhu, Zhenhua Dong, Ji-Rong Wen

CoRR, 2024

Causally Debiased Time-aware Recommendation.

Lei Wang, Chen Ma, Xian Wu, Zhaopeng Qiu, Yefeng Zheng, Xu Chen

Proceedings of the ACM on Web Conference 2024, 2024

Treatment-Aware Hyperbolic Representation Learning for Causal Effect Estimation with Social Networks.

Ziqiang Cui, Xing Tang, Yang Qiao, Bowei He, Liang Chen, Xiuqiang He, Chen Ma

Proceedings of the 2024 SIAM International Conference on Data Mining, 2024

Hyperbolic Contrastive Learning with Model-Augmentation for Knowledge-Aware Recommendation.

Shengyin Sun, Chen Ma

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track and Demo Track, 2024

Rankability-enhanced Revenue Uplift Modeling Framework for Online Marketing.

Bowei He, Yunpeng Weng, Xing Tang, Ziqiang Cui, Zexu Sun, Liang Chen, Xiuqiang He, Chen Ma

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

Less or More From Teacher: Exploiting Trilateral Geometry For Knowledge Distillation.

Chengming Hu, Haolun Wu, Xuan Li, Chen Ma, Xi Chen, Boyu Wang, Jun Yan, Xue Liu

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Collaborative Performance Prediction for Large Language Models.

Qiyuan Zhang, Fuyuan Lyu, Xue Liu, Chen Ma

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

Mitigating the Language Mismatch and Repetition Issues in LLM-based Machine Translation via Model Editing.

Weichuan Wang, Zhaoyi Li, Defu Lian, Chen Ma, Linqi Song, Ying Wei

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

Interpretable Triplet Importance for Personalized Ranking.

Bowei He, Chen Ma

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

Context Matters: Enhancing Sequential Recommendation with Context-aware Diffusion-based Contrastive Learning.

Ziqiang Cui, Haolun Wu, Bowei He, Ji Cheng, Chen Ma

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

2023

Meta Auxiliary Learning for Top-K Recommendation.

Ximing Li, Chen Ma, Guozheng Li, Peng Xu, Chi Harold Liu, Ye Yuan, Guoren Wang

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

Knowledge-graph-enabled biomedical entity linking: a survey.

Jiyun Shi, Zhimeng Yuan, Wenxuan Guo, Chen Ma, Jiehao Chen, Meihui Zhang

World Wide Web (WWW), September, 2023

A Multi-Objective Optimization Framework for Multi-Stakeholder Fairness-Aware Recommendation.

Haolun Wu, Chen Ma, Bhaskar Mitra, Fernando Diaz, Xue Liu

ACM Trans. Inf. Syst., April, 2023

Dynamic Consolidation for Continual Learning.

Hang Li, Chen Ma, Xi Chen, Xue Liu

Neural Comput., February, 2023

Feature Representation Learning for Click-through Rate Prediction: A Review and New Perspectives.

Fuyuan Lyu, Xing Tang, Dugang Liu, Haolun Wu, Chen Ma, Xiuqiang He, Xue Liu

CoRR, 2023

Dynamically Expandable Graph Convolution for Streaming Recommendation.

Bowei He, Xu He, Yingxue Zhang, Ruiming Tang, Chen Ma

Proceedings of the ACM Web Conference 2023, 2023

Controllable Universal Fair Representation Learning.

Yue Cui, Chen Ma, Kai Zheng, Lei Chen, Xiaofang Zhou

Proceedings of the ACM Web Conference 2023, 2023

Hyperspherical Quantization: Toward Smaller and More Accurate Models.

Dan Liu, Xi Chen, Chen Ma, Xue Liu

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

MMEL: A Joint Learning Framework for Multi-Mention Entity Linking.

Chengmei Yang, Bowei He, Yimeng Wu, Chao Xing, Lianghua He, Chen Ma

Proceedings of the Uncertainty in Artificial Intelligence, 2023

WSFE: Wasserstein Sub-graph Feature Encoder for Effective User Segmentation in Collaborative Filtering.

Yankai Chen, Yifei Zhang, Menglin Yang, Zixing Song, Chen Ma, Irwin King

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

Offline Imitation Learning with Variational Counterfactual Reasoning.

Zexu Sun, Bowei He, Jinxin Liu, Xu Chen, Chen Ma, Shuai Zhang

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

Towards Hybrid-grained Feature Interaction Selection for Deep Sparse Network.

Fuyuan Lyu, Xing Tang, Dugang Liu, Chen Ma, Weihong Luo, Liang Chen, Xiuqiang He, Xue (Steve) Liu

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

Doctor Specific Tag Recommendation for Online Medical Record Management.

Yejing Wang, Shen Ge, Xiangyu Zhao, Xian Wu, Tong Xu, Chen Ma, Zhi Zheng

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

Collaborative Edge Caching: a Meta Reinforcement Learning Approach with Edge Sampling.

Yinan Mao, Bowei He, Shiji Zhou, Chen Ma, Zhi Wang

Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

Robustness-enhanced Uplift Modeling with Adversarial Feature Desensitization.

Zexu Sun, Bowei He, Ming Ma, Jiakai Tang, Yuchen Wang, Chen Ma, Dugang Liu

Proceedings of the IEEE International Conference on Data Mining, 2023

Intent-aware Multi-source Contrastive Alignment for Tag-enhanced Recommendation.

Haolun Wu, Yingxue Zhang, Chen Ma, Wei Guo, Ruiming Tang, Xue Liu, Mark Coates

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

Sim2Rec: A Simulator-based Decision-making Approach to Optimize Real-World Long-term User Engagement in Sequential Recommender Systems.

Xiong-Hui Chen, Bowei He, Yang Yu, Qingyang Li, Zhiwei Tony Qin, Wenjie Shang, Jieping Ye, Chen Ma

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

Mutually Guided Few-Shot Learning For Relational Triple Extraction.

Chengmei Yang, Shuai Jiang, Bowei He, Chen Ma, Lianghua He

Proceedings of the IEEE International Conference on Acoustics, 2023

Improving Long-Tail Item Recommendation with Graph Augmentation.

Sichun Luo, Chen Ma, Yuanzhang Xiao, Linqi Song

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Dynamic Embedding Size Search with Minimum Regret for Streaming Recommender System.

Bowei He, Xu He, Renrui Zhang, Yingxue Zhang, Ruiming Tang, Chen Ma

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Structure Aware Incremental Learning with Personalized Imitation Weights for Recommender Systems.

Yuening Wang, Yingxue Zhang, Antonios Valkanas, Ruiming Tang, Chen Ma, Jianye Hao, Mark Coates

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

A Survey of Diversification Techniques in Search and Recommendation.

Haolun Wu, Yansen Zhang, Chen Ma, Fuyuan Lyu, Fernando Diaz, Xue Liu

CoRR, 2022

Gradient-based Bi-level Optimization for Deep Learning: A Survey.

Can Chen, Xi Chen, Chen Ma, Zixuan Liu, Xue Liu

CoRR, 2022

Unbiased Implicit Feedback via Bi-level Optimization.

Can Chen, Chen Ma, Xi Chen, Sirui Song, Hao Liu, Xue Liu

CoRR, 2022

Joint Multisided Exposure Fairness for Recommendation.

Haolun Wu, Bhaskar Mitra, Chen Ma, Fernando Diaz, Xue Liu

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Learning Binarized Graph Representations with Multi-faceted Quantization Reinforcement for Top-K Recommendation.

Yankai Chen, Huifeng Guo, Yingxue Zhang, Chen Ma, Ruiming Tang, Jingjie Li, Irwin King

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

Adapting Triplet Importance of Implicit Feedback for Personalized Recommendation.

Haolun Wu, Chen Ma, Yingxue Zhang, Xue Liu, Ruiming Tang, Mark Coates

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

2021

Multi-FR: A Multi-Objective Optimization Method for Achieving Two-sided Fairness in E-commerce Recommendation.

Haolun Wu, Chen Ma, Bhaskar Mitra, Fernando Diaz, Xue Liu

CoRR, 2021

ATM: Attentional Text Matting.

Peng Kang, Jianping Zhang, Chen Ma, Guiling Sun

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

TIE: A Framework for Embedding-based Incremental Temporal Knowledge Graph Completion.

Jiapeng Wu, Yishi Xu, Yingxue Zhang, Chen Ma, Mark Coates, Jackie Chi Kit Cheung

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

Knowledge-Enhanced Top-K Recommendation in Poincaré Ball.

Chen Ma, Liheng Ma, Yingxue Zhang, Haolun Wu, Xue Liu, Mark Coates

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

2020

Neighbor Interaction Aware Graph Convolution Networks for Recommendation.

Jianing Sun, Yingxue Zhang, Wei Guo, Huifeng Guo, Ruiming Tang, Xiuqiang He, Chen Ma, Mark Coates

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

Probabilistic Metric Learning with Adaptive Margin for Top-K Recommendation.

Chen Ma, Liheng Ma, Yingxue Zhang, Ruiming Tang, Xue Liu, Mark Coates

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Feature Statistics Guided Efficient Filter Pruning.

Hang Li, Chen Ma, Wei Xu, Xue Liu

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

Memory Augmented Graph Neural Networks for Sequential Recommendation.

Chen Ma, Liheng Ma, Yingxue Zhang, Jianing Sun, Xue Liu, Mark Coates

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

2019

Gated Attentive-Autoencoder for Content-Aware Recommendation.

Chen Ma, Peng Kang, Bin Wu, Qinglong Wang, Xue Liu

Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, 2019

Hierarchical Gating Networks for Sequential Recommendation.

Chen Ma, Peng Kang, Xue Liu

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Multi-graph Convolution Collaborative Filtering.

Jianing Sun, Yingxue Zhang, Chen Ma, Mark Coates, Huifeng Guo, Ruiming Tang, Xiuqiang He

Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

2018

Point-of-Interest Recommendation: Exploiting Self-Attentive Autoencoders with Neighbor-Aware Influence.

Chen Ma, Yingxue Zhang, Qinglong Wang, Xue Liu

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

2017

Taming the inconsistency of Wi-Fi fingerprints for device-free passive indoor localization.

Xi Chen, Chen Ma, Michel Allegue, Xue Liu

Proceedings of the 2017 IEEE Conference on Computer Communications, 2017

SunChase: Energy-Efficient Route Planning for Solar-Powered EVs.

Landu Jiang, Yu Hua, Chen Ma, Xue Liu

Proceedings of the 37th IEEE International Conference on Distributed Computing Systems, 2017

2013

The design of touch-screen with high resolution infrared based on plastic optical fiber and image processing.

Liang Zhang, Jigao Fu, Zhubing Wang, Chen Ma, Bo Chen, Pingfan He

Proceedings of the 2013 IEEE International Conference on Granular Computing, 2013

Defensive strategy of the goalkeeper based on the 3D vision and field division for the middle-size league of robocup.

Jiehao Chen, Chen Ma, Zizhen Yan, Bo Chen, Yu Shen, Yu Liang

Proceedings of the 2013 IEEE International Conference on Granular Computing, 2013