Chen Ma

发表

Joint Multisided Exposure Fairness for Recommendation

Bhaskar Mitra, Haolun Wu, Xue Liu, 2022, SIGIR.

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

Xiangshan Chen, Xue Liu, Can Chen, 2022, ArXiv.

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

Bhaskar Mitra, Haolun Wu, Xue Liu, 2021, ACM Trans. Inf. Syst..

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

Xiangshan Chen, Xue Liu, Can Chen, 2022, ArXiv.

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

Irwin King, Ruiming Tang, Chen Ma, 2022, KDD.

Hyperspherical Quantization: Toward Smaller and More Accurate Models

X. Chen, Xue Liu, Chen Ma, 2022, 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV).

A Survey of Diversification Metrics and Approaches in Retrieval Systems: From the Perspective of Search and Recommendation

Haolun Wu, Xue Liu, Chen Ma, 2023 .

A Survey of Diversification Techniques in Search and Recommendation

Yansen Zhang, Haolun Wu, Xue Liu, 2022, ArXiv.

Multi-graph Convolution Collaborative Filtering

Mark Coates, Chen Ma, Huifeng Guo, 2019, 2019 IEEE International Conference on Data Mining (ICDM).

Hierarchical Gating Networks for Sequential Recommendation

Chen Ma, Xue Liu, Peng Kang, 2019, KDD.

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

Xiuqiang He, Haolun Wu, Chen Ma, 2023, ArXiv.

Memory Augmented Graph Neural Networks for Sequential Recommendation

Mark Coates, Chen Ma, Xue Liu, 2019, AAAI.

Understanding the Power and Limitations of Teaching with Imperfect Knowledge pdf

Wei Xu, Hang Li, Chen Ma, 2020, IJCAI.

Neighbor Interaction Aware Graph Convolution Networks for Recommendation

Mark Coates, Huifeng Guo, Xiuqiang He, 2020, SIGIR.

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

Xue Liu, Yingxue Zhang, Qinglong Wang, 2018, CIKM.

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

Xue Liu, Yu Hua, Landu Jiang, 2017, 2017 IEEE 37th International Conference on Distributed Computing Systems (ICDCS).

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

Xiangshan Chen, Xue Liu, Chen Ma, 2022, ArXiv.

Structure Aware Incremental Learning with Personalized Imitation Weights for Recommender Systems

Jianye Hao, Ruiming Tang, Chen Ma, 2023, Proceedings of the AAAI Conference on Artificial Intelligence.

Dynamic Consolidation for Continual Learning

X. Chen, Xue Liu, Hang Li, 2022, Neural Computation.

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

M. Coates, Yingxue Zhang, Chen Ma, 2021, SIGIR.

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

Xiangshan Chen, Xue Liu, Can Chen, 2022, ArXiv.

Dynamically Expandable Graph Convolution for Streaming Recommendation

Ruiming Tang, Chen Ma, Yingxue Zhang, 2023, WWW.

Probabilistic Metric Learning with Adaptive Margin for Top-K Recommendation

Xue Liu, Mark Coates, Yingxue Zhang, 2020, KDD.

Gated Attentive-Autoencoder for Content-Aware Recommendation

Xue Liu, Bin Wu, Qinglong Wang, 2018, WSDM.

Adapting Triplet Importance of Implicit Feedback for Personalized Recommendation

Ruiming Tang, Haolun Wu, Xue Liu, 2022, CIKM.

Unbiased Implicit Feedback via Bi-level Optimization

Xue Liu, Can Chen, Sirui Song, 2022, ArXiv.

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

Xue Liu, Xi Chen, Chen Ma, 2017, IEEE INFOCOM 2017 - IEEE Conference on Computer Communications.

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

Ruiming Tang, Wei Guo, Haolun Wu, 2022, 2023 IEEE 39th International Conference on Data Engineering (ICDE).

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

Shiji Zhou, Chen Ma, Yinan Mao, 2023, 2023 IEEE International Conference on Multimedia and Expo (ICME).

Result Diversification in Search and Recommendation: A Survey

Bhaskar Mitra, Haolun Wu, Xue Liu, 2022, IEEE Transactions on Knowledge and Data Engineering.

Meta Auxiliary Learning for Top-K Recommendation

Chi Harold Liu, Guoren Wang, Chen Ma, 2023, IEEE Transactions on Knowledge and Data Engineering.

Pruning Ternary Quantization

Xiangshan Chen, Jie Fu, Xue Liu, 2021, 2107.10998.

Doctor Specific Tag Recommendation for Online Medical Record Management

X. Wu, Shen Ge, Yejing Wang, 2023, KDD.