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ORCIDChen Ma 0001
马辰
Person information
- unicode name: 马辰
- affiliation (since 2021): City University of Hong Kong, Department of Computer Science, Hong Kong
- affiliation (2015-2021): McGill University, School of Computer Science, Montreal, Canada
- affiliation (2009-2015): Beijing Institute of Technology, School of Computer Sciense and Technology, China
Other persons with the same name
- Chen Ma — disambiguation page
- Chen Ma 0002 — Dalian University of Technology, School of Information and Communication Engineering, China
- Chen Ma 0003
![[0000-0001-6876-3117]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0001-6876-3117")
— Tsinghua University, School of Software, BNRist, Beijing, China
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Journal Articles
- 2024
[j6]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:
A survey on large language model based autonomous agents. Frontiers Comput. Sci. 18(6): 186345 (2024)- [j5]Haolun Wu, Yansen Zhang, Chen Ma, Fuyuan Lyu, Bowei He, Bhaskar Mitra, Xue Liu:
Result Diversification in Search and Recommendation: A Survey. IEEE Trans. Knowl. Data Eng. 36(10): 5354-5373 (2024) - 2023
- [j4]Hang Li, Chen Ma, Xi Chen, Xue Liu:
Dynamic Consolidation for Continual Learning. Neural Comput. 35(2): 228-248 (2023) - [j3]Ximing Li, Chen Ma, Guozheng Li, Peng Xu, Chi Harold Liu, Ye Yuan, Guoren Wang:
Meta Auxiliary Learning for Top-K Recommendation. IEEE Trans. Knowl. Data Eng. 35(10): 10857-10870 (2023) - [j2]Haolun Wu, Chen Ma, Bhaskar Mitra, Fernando Diaz, Xue Liu:
A Multi-Objective Optimization Framework for Multi-Stakeholder Fairness-Aware Recommendation. ACM Trans. Inf. Syst. 41(2): 47:1-47:29 (2023) - [j1]Jiyun Shi, Zhimeng Yuan, Wenxuan Guo, Chen Ma, Jiehao Chen, Meihui Zhang:
Knowledge-graph-enabled biomedical entity linking: a survey. World Wide Web (WWW) 26(5): 2593-2622 (2023)
Conference and Workshop Papers
- 2024
- [c43]Ziqiang Cui, Haolun Wu, Bowei He, Ji Cheng, Chen Ma:
Context Matters: Enhancing Sequential Recommendation with Context-aware Diffusion-based Contrastive Learning. CIKM 2024: 404-414 - [c42]Bowei He, Chen Ma:
Interpretable Triplet Importance for Personalized Ranking. CIKM 2024: 809-818 - [c41]Qiyuan Zhang, Fuyuan Lyu, Xue Liu, Chen Ma:
Collaborative Performance Prediction for Large Language Models. EMNLP 2024: 2576-2596 - [c40]Weichuan Wang, Zhaoyi Li, Defu Lian, Chen Ma, Linqi Song, Ying Wei:
Mitigating the Language Mismatch and Repetition Issues in LLM-based Machine Translation via Model Editing. EMNLP 2024: 15681-15700 - [c39]Chengming Hu, Haolun Wu, Xuan Li, Chen Ma, Xi Chen, Boyu Wang, Jun Yan, Xue Liu:
Less or More From Teacher: Exploiting Trilateral Geometry For Knowledge Distillation. ICLR 2024 - [c38]Bowei He, Yunpeng Weng, Xing Tang, Ziqiang Cui, Zexu Sun, Liang Chen, Xiuqiang He, Chen Ma:
Rankability-enhanced Revenue Uplift Modeling Framework for Online Marketing. KDD 2024: 5093-5104 - [c37]Shengyin Sun, Chen Ma:
Hyperbolic Contrastive Learning with Model-Augmentation for Knowledge-Aware Recommendation. ECML/PKDD (8) 2024: 199-217 - [c36]Ziqiang Cui, Xing Tang, Yang Qiao, Bowei He, Liang Chen, Xiuqiang He, Chen Ma:
Treatment-Aware Hyperbolic Representation Learning for Causal Effect Estimation with Social Networks. SDM 2024: 289-297 - [c35]Lei Wang, Chen Ma, Xian Wu, Zhaopeng Qiu, Yefeng Zheng, Xu Chen:
Causally Debiased Time-aware Recommendation. WWW 2024: 3331-3342 - 2023
- [c34]Yuening Wang, Yingxue Zhang, Antonios Valkanas, Ruiming Tang, Chen Ma, Jianye Hao, Mark Coates:
Structure Aware Incremental Learning with Personalized Imitation Weights for Recommender Systems. AAAI 2023: 4711-4719 - [c33]Bowei He, Xu He, Renrui Zhang, Yingxue Zhang, Ruiming Tang, Chen Ma:
Dynamic Embedding Size Search with Minimum Regret for Streaming Recommender System. CIKM 2023: 741-750 - [c32]Sichun Luo, Chen Ma, Yuanzhang Xiao, Linqi Song:
Improving Long-Tail Item Recommendation with Graph Augmentation. CIKM 2023: 1707-1716 - [c31]Chengmei Yang, Shuai Jiang, Bowei He, Chen Ma, Lianghua He:
Mutually Guided Few-Shot Learning For Relational Triple Extraction. ICASSP 2023: 1-5 - [c30]Haolun Wu, Yingxue Zhang, Chen Ma, Wei Guo, Ruiming Tang, Xue Liu, Mark Coates:
Intent-aware Multi-source Contrastive Alignment for Tag-enhanced Recommendation. ICDE 2023: 1112-1125 - [c29]Xiong-Hui Chen, Bowei He, Yang Yu, Qingyang Li, Zhiwei Tony Qin, Wenjie Shang, Jieping Ye, Chen Ma:
Sim2Rec: A Simulator-based Decision-making Approach to Optimize Real-World Long-term User Engagement in Sequential Recommender Systems. ICDE 2023: 3389-3402 - [c28]Zexu Sun, Bowei He, Ming Ma, Jiakai Tang, Yuchen Wang, Chen Ma, Dugang Liu:
Robustness-enhanced Uplift Modeling with Adversarial Feature Desensitization. ICDM 2023: 1325-1330 - [c27]Yinan Mao, Bowei He, Shiji Zhou, Chen Ma, Zhi Wang:
Collaborative Edge Caching: a Meta Reinforcement Learning Approach with Edge Sampling. ICME 2023: 972-977 - [c26]Yejing Wang, Shen Ge, Xiangyu Zhao, Xian Wu, Tong Xu, Chen Ma, Zhi Zheng:
Doctor Specific Tag Recommendation for Online Medical Record Management. KDD 2023: 5150-5161 - [c25]Fuyuan Lyu, Xing Tang, Dugang Liu, Chen Ma, Weihong Luo, Liang Chen, Xiuqiang He, Xue (Steve) Liu:
Towards Hybrid-grained Feature Interaction Selection for Deep Sparse Network. NeurIPS 2023 - [c24]Zexu Sun, Bowei He, Jinxin Liu, Xu Chen, Chen Ma, Shuai Zhang:
Offline Imitation Learning with Variational Counterfactual Reasoning. NeurIPS 2023 - [c23]Yankai Chen, Yifei Zhang, Menglin Yang, Zixing Song, Chen Ma, Irwin King:
WSFE: Wasserstein Sub-graph Feature Encoder for Effective User Segmentation in Collaborative Filtering. SIGIR 2023: 2521-2525 - [c22]Chengmei Yang, Bowei He, Yimeng Wu, Chao Xing, Lianghua He, Chen Ma:
MMEL: A Joint Learning Framework for Multi-Mention Entity Linking. UAI 2023: 2411-2421 - [c21]Dan Liu, Xi Chen, Chen Ma, Xue Liu:
Hyperspherical Quantization: Toward Smaller and More Accurate Models. WACV 2023: 5251-5261 - [c20]Yue Cui, Chen Ma, Kai Zheng, Lei Chen, Xiaofang Zhou:
Controllable Universal Fair Representation Learning. WWW 2023: 949-959 - [c19]Bowei He, Xu He, Yingxue Zhang, Ruiming Tang, Chen Ma:
Dynamically Expandable Graph Convolution for Streaming Recommendation. WWW 2023: 1457-1467 - 2022
- [c18]Haolun Wu, Chen Ma, Yingxue Zhang, Xue Liu, Ruiming Tang, Mark Coates:
Adapting Triplet Importance of Implicit Feedback for Personalized Recommendation. CIKM 2022: 2148-2157 - [c17]Yankai Chen, Huifeng Guo, Yingxue Zhang, Chen Ma, Ruiming Tang, Jingjie Li, Irwin King:
Learning Binarized Graph Representations with Multi-faceted Quantization Reinforcement for Top-K Recommendation. KDD 2022: 168-178 - [c16]Haolun Wu, Bhaskar Mitra, Chen Ma, Fernando Diaz, Xue Liu:
Joint Multisided Exposure Fairness for Recommendation. SIGIR 2022: 703-714 - 2021
- [c15]Chen Ma, Liheng Ma, Yingxue Zhang, Haolun Wu, Xue Liu, Mark Coates:
Knowledge-Enhanced Top-K Recommendation in Poincaré Ball. AAAI 2021: 4285-4293 - [c14]Jiapeng Wu, Yishi Xu, Yingxue Zhang, Chen Ma, Mark Coates, Jackie Chi Kit Cheung:
TIE: A Framework for Embedding-based Incremental Temporal Knowledge Graph Completion. SIGIR 2021: 428-437 - [c13]Peng Kang, Jianping Zhang, Chen Ma, Guiling Sun:
ATM: Attentional Text Matting. WACV 2021: 3901-3910 - 2020
- [c12]Chen Ma, Liheng Ma, Yingxue Zhang, Jianing Sun, Xue Liu, Mark Coates:
Memory Augmented Graph Neural Networks for Sequential Recommendation. AAAI 2020: 5045-5052 - [c11]Hang Li, Chen Ma, Wei Xu, Xue Liu:
Feature Statistics Guided Efficient Filter Pruning. IJCAI 2020: 2619-2625 - [c10]Chen Ma, Liheng Ma, Yingxue Zhang, Ruiming Tang, Xue Liu, Mark Coates:
Probabilistic Metric Learning with Adaptive Margin for Top-K Recommendation. KDD 2020: 1036-1044 - [c9]Jianing Sun, Yingxue Zhang, Wei Guo, Huifeng Guo, Ruiming Tang, Xiuqiang He, Chen Ma, Mark Coates:
Neighbor Interaction Aware Graph Convolution Networks for Recommendation. SIGIR 2020: 1289-1298 - 2019
- [c8]Jianing Sun, Yingxue Zhang, Chen Ma, Mark Coates, Huifeng Guo, Ruiming Tang, Xiuqiang He:
Multi-graph Convolution Collaborative Filtering. ICDM 2019: 1306-1311 - [c7]Chen Ma, Peng Kang, Xue Liu:
Hierarchical Gating Networks for Sequential Recommendation. KDD 2019: 825-833 - [c6]Chen Ma, Peng Kang, Bin Wu, Qinglong Wang, Xue Liu:
Gated Attentive-Autoencoder for Content-Aware Recommendation. WSDM 2019: 519-527 - 2018
- [c5]Chen Ma, Yingxue Zhang, Qinglong Wang, Xue Liu:
Point-of-Interest Recommendation: Exploiting Self-Attentive Autoencoders with Neighbor-Aware Influence. CIKM 2018: 697-706 - 2017
- [c4]Landu Jiang, Yu Hua, Chen Ma, Xue Liu:
SunChase: Energy-Efficient Route Planning for Solar-Powered EVs. ICDCS 2017: 383-393 - [c3]Xi Chen, Chen Ma, Michel Allegue, Xue Liu:
Taming the inconsistency of Wi-Fi fingerprints for device-free passive indoor localization. INFOCOM 2017: 1-9 - 2013
- [c2]Jiehao Chen, Chen Ma, Zizhen Yan, Bo Chen, Yu Shen, Yu Liang:
Defensive strategy of the goalkeeper based on the 3D vision and field division for the middle-size league of robocup. GrC 2013: 49-52 - [c1]Liang Zhang, Jigao Fu, Zhubing Wang, Chen Ma, Bo Chen, Pingfan He:
The design of touch-screen with high resolution infrared based on plastic optical fiber and image processing. GrC 2013: 433-436
Informal and Other Publications
- 2024
- [i41]Ziqiang Cui, Xing Tang, Yang Qiao, Bowei He, Liang Chen, Xiuqiang He, Chen Ma:
Treatment-Aware Hyperbolic Representation Learning for Causal Effect Estimation with Social Networks. CoRR abs/2401.06557 (2024) - [i40]Zeyu Zhang, Xiaohe Bo, Chen Ma, Rui Li, Xu Chen, Quanyu Dai, Jieming Zhu, Zhenhua Dong, Ji-Rong Wen:
A Survey on the Memory Mechanism of Large Language Model based Agents. CoRR abs/2404.13501 (2024) - [i39]Ziqiang Cui, Haolun Wu, Bowei He, Ji Cheng, Chen Ma:
Diffusion-based Contrastive Learning for Sequential Recommendation. CoRR abs/2405.09369 (2024) - [i38]Bowei He, Yunpeng Weng, Xing Tang, Ziqiang Cui, Zexu Sun, Liang Chen, Xiuqiang He, Chen Ma:
Rankability-enhanced Revenue Uplift Modeling Framework for Online Marketing. CoRR abs/2405.15301 (2024) - [i37]Minda Hu, Bowei He, Yufei Wang, Liangyou Li, Chen Ma, Irwin King:
Mitigating Large Language Model Hallucination with Faithful Finetuning. CoRR abs/2406.11267 (2024) - [i36]Qiyuan Zhang, Fuyuan Lyu, Xue Liu, Chen Ma:
Collaborative Performance Prediction for Large Language Models. CoRR abs/2407.01300 (2024) - [i35]Bowei He, Chen Ma:
Interpretable Triplet Importance for Personalized Ranking. CoRR abs/2407.19469 (2024) - [i34]Qiyuan Zhang, Yufei Wang, Tiezheng Yu, Yuxin Jiang, Chuhan Wu, Liangyou Li, Yasheng Wang, Xin Jiang, Lifeng Shang, Ruiming Tang, Fuyuan Lyu, Chen Ma:
RevisEval: Improving LLM-as-a-Judge via Response-Adapted References. CoRR abs/2410.05193 (2024) - [i33]Weichuan Wang, Zhaoyi Li, Defu Lian, Chen Ma, Linqi Song, Ying Wei:
Mitigating the Language Mismatch and Repetition Issues in LLM-based Machine Translation via Model Editing. CoRR abs/2410.07054 (2024) - [i32]Ziqiang Cui, Yunpeng Weng, Xing Tang, Fuyuan Lyu, Dugang Liu, Xiuqiang He, Chen Ma:
Comprehending Knowledge Graphs with Large Language Models for Recommender Systems. CoRR abs/2410.12229 (2024) - [i31]Yuening Wang, Chen Ma, Yaochen Hu, Wei Guo, Yingxue Zhang, Huifeng Guo, Yong Liu, Mark Coates:
Enhancing CTR Prediction in Recommendation Domain with Search Query Representation. CoRR abs/2410.21487 (2024) - 2023
- [i30]Fuyuan Lyu, Xing Tang, Dugang Liu, Haolun Wu, Chen Ma, Xiuqiang He, Xue Liu:
Feature Representation Learning for Click-through Rate Prediction: A Review and New Perspectives. CoRR abs/2302.02241 (2023) - [i29]Bowei He, Xu He, Yingxue Zhang, Ruiming Tang, Chen Ma:
Dynamically Expandable Graph Convolution for Streaming Recommendation. CoRR abs/2303.11700 (2023) - [i28]Yuening Wang, Yingxue Zhang, Antonios Valkanas, Ruiming Tang, Chen Ma, Jianye Hao, Mark Coates:
Structure Aware Incremental Learning with Personalized Imitation Weights for Recommender Systems. CoRR abs/2305.01204 (2023) - [i27]Yankai Chen, Yifei Zhang, Menglin Yang, Zixing Song, Chen Ma, Irwin King:
WSFE: Wasserstein Sub-graph Feature Encoder for Effective User Segmentation in Collaborative Filtering. CoRR abs/2305.04410 (2023) - [i26]Xiong-Hui Chen, Bowei He, Yang Yu, Qingyang Li, Zhiwei Tony Qin, Wenjie Shang, Jieping Ye, Chen Ma:
Sim2Rec: A Simulator-based Decision-making Approach to Optimize Real-World Long-term User Engagement in Sequential Recommender Systems. CoRR abs/2305.04832 (2023) - [i25]Chengmei Yang, Shuai Jiang, Bowei He, Chen Ma, Lianghua He:
Mutually Guided Few-shot Learning for Relational Triple Extraction. CoRR abs/2306.13310 (2023) - [i24]Bowei He, Yinan Mao, Shiji Zhou, Chen Ma, Zhi Wang:
Collaborative Edge Caching: a Meta Reinforcement Learning Approach with Edge Sampling. CoRR abs/2308.04205 (2023) - [i23]Bowei He, Xu He, Renrui Zhang, Yingxue Zhang, Ruiming Tang, Chen Ma:
Dynamic Embedding Size Search with Minimum Regret for Streaming Recommender System. CoRR abs/2308.07760 (2023) - [i22]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, Ji-Rong Wen:
A Survey on Large Language Model based Autonomous Agents. CoRR abs/2308.11432 (2023) - [i21]Zexu Sun, Bowei He, Ming Ma, Jiakai Tang, Yuchen Wang, Chen Ma, Dugang Liu:
Robustness-enhanced Uplift Modeling with Adversarial Feature Desensitization. CoRR abs/2310.04693 (2023) - [i20]Fuyuan Lyu, Xing Tang, Dugang Liu, Chen Ma, Weihong Luo, Liang Chen, Xiuqiang He, Xue Liu:
Towards Hybrid-grained Feature Interaction Selection for Deep Sparse Network. CoRR abs/2310.15342 (2023) - [i19]Chengming Hu, Haolun Wu, Xuan Li, Chen Ma, Xi Chen, Jun Yan, Boyu Wang, Xue Liu:
Less or More From Teacher: Exploiting Trilateral Geometry For Knowledge Distillation. CoRR abs/2312.15112 (2023) - 2022
- [i18]Haolun Wu, Bhaskar Mitra, Chen Ma, Fernando Diaz, Xue Liu:
Joint Multisided Exposure Fairness for Recommendation. CoRR abs/2205.00048 (2022) - [i17]Can Chen, Chen Ma, Xi Chen, Sirui Song, Hao Liu, Xue Liu:
Unbiased Implicit Feedback via Bi-level Optimization. CoRR abs/2206.00147 (2022) - [i16]Yankai Chen, Huifeng Guo, Yingxue Zhang, Chen Ma, Ruiming Tang, Jingjie Li, Irwin King:
Learning Binarized Graph Representations with Multi-faceted Quantization Reinforcement for Top-K Recommendation. CoRR abs/2206.02115 (2022) - [i15]Can Chen, Xi Chen, Chen Ma, Zixuan Liu, Xue Liu:
Gradient-based Bi-level Optimization for Deep Learning: A Survey. CoRR abs/2207.11719 (2022) - [i14]Haolun Wu, Chen Ma, Yingxue Zhang, Xue Liu, Ruiming Tang, Mark Coates:
Adapting Triplet Importance of Implicit Feedback for Personalized Recommendation. CoRR abs/2208.01709 (2022) - [i13]Haolun Wu, Yingxue Zhang, Chen Ma, Wei Guo, Ruiming Tang, Xue Liu, Mark Coates:
Intent-aware Multi-source Contrastive Alignment for Tag-enhanced Recommendation. CoRR abs/2211.06370 (2022) - [i12]Dan Liu, Xi Chen, Chen Ma, Xue Liu:
Hyperspherical Quantization: Toward Smaller and More Accurate Models. CoRR abs/2212.12653 (2022) - [i11]Haolun Wu, Yansen Zhang, Chen Ma, Fuyuan Lyu, Fernando Diaz, Xue Liu:
A Survey of Diversification Techniques in Search and Recommendation. CoRR abs/2212.14464 (2022) - 2021
- [i10]Chen Ma, Liheng Ma, Yingxue Zhang, Ruiming Tang, Xue Liu, Mark Coates:
Probabilistic Metric Learning with Adaptive Margin for Top-K Recommendation. CoRR abs/2101.04849 (2021) - [i9]Chen Ma, Liheng Ma, Yingxue Zhang, Haolun Wu, Xue Liu, Mark Coates:
Knowledge-Enhanced Top-K Recommendation in Poincaré Ball. CoRR abs/2101.04852 (2021) - [i8]Jiapeng Wu, Yishi Xu, Yingxue Zhang, Chen Ma, Mark Coates, Jackie Chi Kit Cheung:
TIE: A Framework for Embedding-based Incremental Temporal Knowledge Graph Completion. CoRR abs/2104.08419 (2021) - [i7]Haolun Wu, Chen Ma, Bhaskar Mitra, Fernando Diaz, Xue Liu:
Multi-FR: A Multi-Objective Optimization Method for Achieving Two-sided Fairness in E-commerce Recommendation. CoRR abs/2105.02951 (2021) - 2020
- [i6]Jianing Sun, Yingxue Zhang, Chen Ma, Mark Coates, Huifeng Guo, Ruiming Tang, Xiuqiang He:
Multi-Graph Convolution Collaborative Filtering. CoRR abs/2001.00267 (2020) - [i5]Hang Li, Chen Ma, Wei Xu, Xue Liu:
Feature Statistics Guided Efficient Filter Pruning. CoRR abs/2005.12193 (2020) - 2019
- [i4]Chen Ma, Peng Kang, Xue Liu:
Hierarchical Gating Networks for Sequential Recommendation. CoRR abs/1906.09217 (2019) - [i3]Chen Ma, Liheng Ma, Yingxue Zhang, Jianing Sun, Xue Liu, Mark Coates:
Memory Augmented Graph Neural Networks for Sequential Recommendation. CoRR abs/1912.11730 (2019) - 2018
- [i2]Chen Ma, Yingxue Zhang, Qinglong Wang, Xue Liu:
Point-of-Interest Recommendation: Exploiting Self-Attentive Autoencoders with Neighbor-Aware Influence. CoRR abs/1809.10770 (2018) - [i1]Chen Ma, Peng Kang, Bin Wu, Qinglong Wang, Xue Liu:
Gated Attentive-Autoencoder for Content-Aware Recommendation. CoRR abs/1812.02869 (2018)
Coauthor Index
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