Defensive strategy of the goalkeeper based on the 3D vision and field division for the middle-size league of robocup. - Jiehao Chen; Chen Ma 001; Zizhen Yan; Bo Chen; Yu Shen; Yu Liang (GrC, 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 001; Bo Chen; Pingfan He (GrC, 2013)

SunChase: Energy-Efficient Route Planning for Solar-Powered EVs. - Landu Jiang; Yu Hua 001; Chen Ma 001; Xue Liu 001 (ICDCS, 2017)

Taming the inconsistency of Wi-Fi fingerprints for device-free passive indoor localization. - Xi Chen 009; Chen Ma 001; Michel Allegue; Xue Liu 001 (INFOCOM, 2017)

Point-of-Interest Recommendation: Exploiting Self-Attentive Autoencoders with Neighbor-Aware Influence. - Chen Ma 001; Yingxue Zhang 001; Qinglong Wang 003; Xue Liu 001 (CIKM, 2018)

Multi-graph Convolution Collaborative Filtering. - Jianing Sun; Yingxue Zhang 001; Chen Ma 001; Mark Coates; Huifeng Guo; Ruiming Tang; Xiuqiang He 001 (ICDM, 2019)

Hierarchical Gating Networks for Sequential Recommendation. - Chen Ma 001; Peng Kang; Xue Liu 001 (KDD, 2019)

Gated Attentive-Autoencoder for Content-Aware Recommendation. - Chen Ma 001; Peng Kang; Bin Wu 019; Qinglong Wang 003; Xue Liu 001 (WSDM, 2019)

Memory Augmented Graph Neural Networks for Sequential Recommendation. - Chen Ma 001; Liheng Ma; Yingxue Zhang 001; Jianing Sun; Xue Liu 001; Mark Coates (AAAI, 2020)

Feature Statistics Guided Efficient Filter Pruning. - Hang Li; Chen Ma 001; Wei Xu 005; Xue Liu 001 (IJCAI, 2020)

Probabilistic Metric Learning with Adaptive Margin for Top-K Recommendation. - Chen Ma 001; Liheng Ma; Yingxue Zhang 001; Ruiming Tang; Xue Liu 001; Mark Coates (KDD, 2020)

Neighbor Interaction Aware Graph Convolution Networks for Recommendation. - Jianing Sun; Yingxue Zhang 001; Wei Guo 006; Huifeng Guo; Ruiming Tang; Xiuqiang He 001; Chen Ma 001; Mark Coates (SIGIR, 2020)

Knowledge-Enhanced Top-K Recommendation in Poincaré Ball. - Chen Ma 001; Liheng Ma; Yingxue Zhang 001; Haolun Wu; Xue Liu 001; Mark Coates (AAAI, 2021)

TIE: A Framework for Embedding-based Incremental Temporal Knowledge Graph Completion. - Jiapeng Wu; Yishi Xu; Yingxue Zhang 001; Chen Ma 001; Mark Coates; Jackie Chi Kit Cheung (SIGIR, 2021)

ATM: Attentional Text Matting. - Peng Kang; Jianping Zhang 002; Chen Ma 001; Guiling Sun (WACV, 2021)

Multi-FR: A Multi-Objective Optimization Method for Achieving Two-sided Fairness in E-commerce Recommendation. - Haolun Wu; Chen Ma 001; Bhaskar Mitra 001; Fernando Diaz 001; Xue Liu 001 (CoRR, 2021)

Adapting Triplet Importance of Implicit Feedback for Personalized Recommendation. - Haolun Wu; Chen Ma 001; Yingxue Zhang 001; Xue Liu 001; Ruiming Tang; Mark Coates (CIKM, 2022)

Learning Binarized Graph Representations with Multi-faceted Quantization Reinforcement for Top-K Recommendation. - Yankai Chen 001; Huifeng Guo; Yingxue Zhang 001; Chen Ma 001; Ruiming Tang; Jingjie Li; Irwin King (KDD, 2022)

Joint Multisided Exposure Fairness for Recommendation. - Haolun Wu; Bhaskar Mitra 001; Chen Ma 001; Fernando Diaz 001; Xue Liu 001 (SIGIR, 2022)

Unbiased Implicit Feedback via Bi-level Optimization. - Can Chen 005; Chen Ma 001; Xi Chen 009; Sirui Song; Hao Liu 026; Xue Liu 001 (CoRR, 2022)

Gradient-based Bi-level Optimization for Deep Learning: A Survey. - Can Chen 005; Xi Chen 009; Chen Ma 001; Zixuan Liu 001; Xue Liu 001 (CoRR, 2022)

A Survey of Diversification Techniques in Search and Recommendation. - Haolun Wu; Yansen Zhang; Chen Ma 001; Fuyuan Lyu; Fernando Diaz 001; Xue Liu 001 (CoRR, 2022)

Structure Aware Incremental Learning with Personalized Imitation Weights for Recommender Systems. - Yuening Wang; Yingxue Zhang 001; Antonios Valkanas; Ruiming Tang; Chen Ma 001; Jianye Hao; Mark Coates (AAAI, 2023)

Dynamic Embedding Size Search with Minimum Regret for Streaming Recommender System. - Bowei He; Xu He; Renrui Zhang; Yingxue Zhang 001; Ruiming Tang; Chen Ma 001 (CIKM, 2023)

Improving Long-Tail Item Recommendation with Graph Augmentation. - Sichun Luo; Chen Ma 001; Yuanzhang Xiao; Linqi Song (CIKM, 2023)

Mutually Guided Few-Shot Learning For Relational Triple Extraction. - Chengmei Yang; Shuai Jiang; Bowei He; Chen Ma 001; Lianghua He (ICASSP, 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 001; Qingyang Li 001; Zhiwei Tony Qin; Wenjie Shang; Jieping Ye; Chen Ma 001 (ICDE, 2023)

Intent-aware Multi-source Contrastive Alignment for Tag-enhanced Recommendation. - Haolun Wu; Yingxue Zhang 001; Chen Ma 001; Wei Guo 006; Ruiming Tang; Xue Liu 001; Mark Coates (ICDE, 2023)

Robustness-enhanced Uplift Modeling with Adversarial Feature Desensitization. - Zexu Sun; Bowei He; Ming Ma; Jiakai Tang; Yuchen Wang; Chen Ma 001; Dugang Liu (ICDM, 2023)

Collaborative Edge Caching: a Meta Reinforcement Learning Approach with Edge Sampling. - Yinan Mao; Bowei He; Shiji Zhou; Chen Ma 001; Zhi Wang 001 (ICME, 2023)

Doctor Specific Tag Recommendation for Online Medical Record Management. - Yejing Wang; Shen Ge; Xiangyu Zhao 001; Xian Wu 001; Tong Xu 001; Chen Ma 001; Zhi Zheng 008 (KDD, 2023)

Towards Hybrid-grained Feature Interaction Selection for Deep Sparse Network. - Fuyuan Lyu; Xing Tang 007; Dugang Liu; Chen Ma 001; Weihong Luo; Liang Chen 009; Xiuqiang He 001; Xue (Steve) Liu (NeurIPS, 2023)

Offline Imitation Learning with Variational Counterfactual Reasoning. - Zexu Sun; Bowei He; Jinxin Liu; Xu Chen 017; Chen Ma 001; Shuai Zhang (NeurIPS, 2023)

WSFE: Wasserstein Sub-graph Feature Encoder for Effective User Segmentation in Collaborative Filtering. - Yankai Chen 001; Yifei Zhang; Menglin Yang 001; Zixing Song; Chen Ma 001; Irwin King (SIGIR, 2023)

MMEL: A Joint Learning Framework for Multi-Mention Entity Linking. - Chengmei Yang; Bowei He; Yimeng Wu; Chao Xing; Lianghua He; Chen Ma 001 (UAI, 2023)

Hyperspherical Quantization: Toward Smaller and More Accurate Models. - Dan Liu; Xi Chen 009; Chen Ma 001; Xue Liu 001 (WACV, 2023)

Controllable Universal Fair Representation Learning. - Yue Cui 001; Chen Ma 001; Kai Zheng 001; Lei Chen 002; Xiaofang Zhou 001 (WWW, 2023)

Dynamically Expandable Graph Convolution for Streaming Recommendation. - Bowei He; Xu He; Yingxue Zhang 001; Ruiming Tang; Chen Ma 001 (WWW, 2023)

Feature Representation Learning for Click-through Rate Prediction: A Review and New Perspectives. - Fuyuan Lyu; Xing Tang 007; Dugang Liu; Haolun Wu; Chen Ma 001; Xiuqiang He 001; Xue Liu 001 (CoRR, 2023)

Large Language Models as Topological Structure Enhancers for Text-Attributed Graphs. - Shengyin Sun; Yuxiang Ren; Chen Ma 001; Xuecang Zhang (CoRR, 2023)

Dynamic Consolidation for Continual Learning. - Hang Li; Chen Ma 001; Xi Chen 009; Xue Liu 001 (Neural Comput., 2023)

A Multi-Objective Optimization Framework for Multi-Stakeholder Fairness-Aware Recommendation. - Haolun Wu; Chen Ma 001; Bhaskar Mitra 001; Fernando Diaz 001; Xue Liu 001 (ACM Trans. Inf. Syst., 2023)

Knowledge-graph-enabled biomedical entity linking: a survey. - Jiyun Shi; Zhimeng Yuan; Wenxuan Guo; Chen Ma 001; Jiehao Chen; Meihui Zhang 001 (World Wide Web (WWW), 2023)

Meta Auxiliary Learning for Top-K Recommendation. - Ximing Li; Chen Ma 001; Guozheng Li 002; Peng Xu; Chi Harold Liu; Ye Yuan 001; Guoren Wang (IEEE Trans. Knowl. Data Eng., 2023)

Context Matters: Enhancing Sequential Recommendation with Context-aware Diffusion-based Contrastive Learning. - Ziqiang Cui; Haolun Wu; Bowei He; Ji Cheng 001; Chen Ma 001 (CIKM, 2024)

Interpretable Triplet Importance for Personalized Ranking. - Bowei He; Chen Ma 001 (CIKM, 2024)

Mitigating the Language Mismatch and Repetition Issues in LLM-based Machine Translation via Model Editing. - Weichuan Wang; Zhaoyi Li; Defu Lian; Chen Ma 001; Linqi Song; Ying Wei 001 (EMNLP, 2024)

Collaborative Performance Prediction for Large Language Models. - Qiyuan Zhang; Fuyuan Lyu; Xue Liu 001; Chen Ma 001 (EMNLP, 2024)

Less or More From Teacher: Exploiting Trilateral Geometry For Knowledge Distillation. - Chengming Hu; Haolun Wu; Xuan Li; Chen Ma 001; Xi Chen 009; Boyu Wang; Jun Yan 007; Xue Liu 001 (ICLR, 2024)

Rankability-enhanced Revenue Uplift Modeling Framework for Online Marketing. - Bowei He; Yunpeng Weng; Xing Tang 007; Ziqiang Cui; Zexu Sun; Liang Chen 009; Xiuqiang He 001; Chen Ma 001 (KDD, 2024)

Hyperbolic Contrastive Learning with Model-Augmentation for Knowledge-Aware Recommendation. - Shengyin Sun; Chen Ma 001 (ECML/PKDD (8), 2024)

Treatment-Aware Hyperbolic Representation Learning for Causal Effect Estimation with Social Networks. - Ziqiang Cui; Xing Tang 007; Yang Qiao; Bowei He; Liang Chen 009; Xiuqiang He 001; Chen Ma 001 (SDM, 2024)

Causally Debiased Time-aware Recommendation. - Lei Wang 198; Chen Ma 001; Xian Wu 001; Zhaopeng Qiu; Yefeng Zheng 001; Xu Chen 017 (WWW, 2024)

A Survey on the Memory Mechanism of Large Language Model based Agents. - Zeyu Zhang 007; Xiaohe Bo; Chen Ma 001; Rui Li 086; Xu Chen 017; Quanyu Dai; Jieming Zhu; Zhenhua Dong; Ji-Rong Wen (CoRR, 2024)

Diffusion-based Contrastive Learning for Sequential Recommendation. - Ziqiang Cui; Haolun Wu; Bowei He; Ji Cheng 001; Chen Ma 001 (CoRR, 2024)

Mitigating Large Language Model Hallucination with Faithful Finetuning. - Minda Hu; Bowei He; Yufei Wang 005; Liangyou Li; Chen Ma 001; Irwin King (CoRR, 2024)

Enhancing CTR Prediction in Recommendation Domain with Search Query Representation. - Yuening Wang; Chen Ma 001; Yaochen Hu 001; Wei Guo 006; Yingxue Zhang 001; Huifeng Guo; Yong Liu 020; Mark Coates (CoRR, 2024)

DOGE: Towards Versatile Visual Document Grounding and Referring. - Yinan Zhou; Yuxin Chen; Haokun Lin; Shuyu Yang; Li Zhu 003; Zhongang Qi; Chen Ma 001; Ying Shan (CoRR, 2024)

NILE: Internal Consistency Alignment in Large Language Models. - Minda Hu; Qiyuan Zhang; Yufei Wang 005; Bowei He; Hongru Wang 003; Jingyan Zhou; Liangyou Li; Yasheng Wang; Chen Ma 001; Irwin King (CoRR, 2024)

Result Diversification in Search and Recommendation: A Survey. - Haolun Wu; Yansen Zhang; Chen Ma 001; Fuyuan Lyu; Bowei He; Bhaskar Mitra 001; Xue Liu 001 (IEEE Trans. Knowl. Data Eng., 2024)

A survey on large language model based autonomous agents. - Lei Wang 198; Chen Ma 001; Xueyang Feng; Zeyu Zhang 007; Hao Yang; Jingsen Zhang; Zhiyuan Chen; Jiakai Tang; Xu Chen 017; Yankai Lin; Wayne Xin Zhao; Zhewei Wei; et al. (Frontiers Comput. Sci., 2024)

GDiffRetro: Retrosynthesis Prediction with Dual Graph Enhanced Molecular Representation and Diffusion Generation. - Shengyin Sun; Wenhao Yu 014; Yuxiang Ren; Weitao Du; Liwei Liu; Xuecang Zhang; Ying Hu; Chen Ma 001 (AAAI, 2025)

MemBench: Towards More Comprehensive Evaluation on the Memory of LLM-based Agents. - Haoran Tan; Zeyu Zhang 007; Chen Ma 001; Xu Chen 017; Quanyu Dai; Zhenhua Dong (ACL (Findings), 2025)

Crowd Comparative Reasoning: Unlocking Comprehensive Evaluations for LLM-as-a-Judge. - Qiyuan Zhang; Yufei Wang 005; Yuxin Jiang; Liangyou Li; Chuhan Wu; Yasheng Wang; Xin Jiang 002; Lifeng Shang; Ruiming Tang; Fuyuan Lyu; Chen Ma 001 (ACL (1), 2025)

Incorporating Review-missing Interactions for Generative Explainable Recommendation. - Xi Li; Xiaohe Bo; Chen Ma 001; Xu Chen 017 (COLING, 2025)

Certifying Language Model Robustness with Fuzzed Randomized Smoothing: An Efficient Defense Against Backdoor Attacks. - Bowei He; Lihao Yin; Hui-Ling Zhen; Jianping Zhang 002; Lanqing Hong; Mingxuan Yuan; Chen Ma 001 (ICLR, 2025)

Decision Information Meets Large Language Models: The Future of Explainable Operations Research. - Yansen Zhang; Qingcan Kang; Wing Yin Yu; Hailei Gong; Xiaojin Fu; Xiongwei Han; Tao Zhong 004; Chen Ma 001 (ICLR, 2025)

RevisEval: Improving LLM-as-a-Judge via Response-Adapted References. - Qiyuan Zhang; Yufei Wang 005; Tiezheng Yu; Yuxin Jiang; Chuhan Wu; Liangyou Li; Yasheng Wang; Xin Jiang 002; Lifeng Shang; Ruiming Tang; Fuyuan Lyu; Chen Ma 001 (ICLR, 2025)

Robust Uplift Modeling with Large-Scale Contexts for Real-time Marketing. - Zexu Sun; Qiyu Han; Minqin Zhu; Hao Gong; Dugang Liu; Chen Ma 001 (KDD (1), 2025)

TrendSim: Simulating Trending Topics in Social Media Under Poisoning Attacks with LLM-based Multi-agent System. - Zeyu Zhang 007; Jianxun Lian; Chen Ma 001; Yaning Qu; Ye Luo; Lei Wang 198; Rui Li 086; Xu Chen 017; Yankai Lin; Le Wu; Xing Xie 001; Ji-Rong Wen (NAACL (Findings), 2025)

Active Instruction Tuning for Large Language Models with Reference-Free Instruction Selection. - Qiyuan Zhang; Jiehao Chen; Chen Ma 001 (PAKDD (3), 2025)

Beyond Models! Explainable Data Valuation and Metric Adaption for Recommendation. - Renqi Jia; Xiaokun Zhang 001; Bowei He; Qiannan Zhu; Weitao Xu; Jiehao Chen; Chen Ma 001 (SDM, 2025)

Comprehending Knowledge Graphs with Large Language Models for Recommender Systems. - Ziqiang Cui; Yunpeng Weng; Xing Tang 007; Fuyuan Lyu; Dugang Liu; Xiuqiang He 001; Chen Ma 001 (SIGIR, 2025)

Fusion Matters: Learning Fusion in Deep Click-through Rate Prediction Models. - Kexin Zhang 007; Fuyuan Lyu; Xing Tang 007; Dugang Liu; Chen Ma 001; Kaize Ding; Xiuqiang He 001; Xue Liu 001 (WSDM, 2025)

PASER: Post-Training Data Selection for Efficient Pruned Large Language Model Recovery. - Bowei He; Lihao Yin; Hui-Ling Zhen; Xiaokun Zhang 001; Mingxuan Yuan; Chen Ma 001 (CoRR, 2025)

Sequential Causal Effect Estimation by Jointly Modeling the Unmeasured Confounders and Instrumental Variables. - Zexu Sun; Bowei He; Shiqi Shen; Zhipeng Wang; Zhi Gong; Chen Ma 001; Qi Qi 003; Xu Chen 017 (IEEE Trans. Knowl. Data Eng., 2025)

Semantic Retrieval Augmented Contrastive Learning for Sequential Recommendation. - Ziqiang Cui; Yunpeng Weng; Xing Tang 007; Xiaokun Zhang 001; Dugang Liu; Shiwei Li 002; Peiyang Liu; Bowei He; Weihong Luo; Xiuqiang He 001; Chen Ma 001 (CoRR, 2025)

What, How, Where, and How Well? A Survey on Test-Time Scaling in Large Language Models. - Qiyuan Zhang; Fuyuan Lyu; Zexu Sun; Lei Wang; Weixu Zhang; Zhihan Guo; Yufei Wang; Irwin King; Xue Liu; Chen Ma 001 (CoRR, 2025)

Scale Up Composed Image Retrieval Learning via Modification Text Generation. - Yinan Zhou; Yaxiong Wang; Haokun Lin; Chen Ma 001; Li Zhu 003; Zhedong Zheng (CoRR, 2025)

Counterfactual Multi-player Bandits for Explainable Recommendation Diversification. - Yansen Zhang; Bowei He; Xiaokun Zhang 001; Haolun Wu; Zexu Sun; Chen Ma 001 (CoRR, 2025)

Shapley Value-driven Data Pruning for Recommender Systems. - Yansen Zhang; Xiaokun Zhang 001; Ziqiang Cui; Chen Ma 001 (CoRR, 2025)

UCMM: Unsupervised Convolutional Networks for Accurate and Efficient Map Matching With Mobile Cellular Data. - Mingxin Cai; Chen Ma 001; Yuchen Li 006; Zhonghao Lyu; Yutong Liu; Linghe Kong; Guihai Chen (IEEE Trans. Mob. Comput., 2025)

Hierarchical Gating Network for Cross-Domain Sequential Recommendation. - Shuliang Wang 001; Jiabao Zhu; Yi Wang 132; Chen Ma 001; Xin Zhao 018; Yansen Zhang; Ziqiang Yuan; Sijie Ruan (ACM Trans. Inf. Syst., 2025)

A Survey on Side Information-Driven Session-Based Recommendation: From a Data-Centric Perspective. - Xiaokun Zhang 001; Bo Xu 009; Chenliang Li; Bowei He; Hongfei Lin; Chen Ma 001; Fenglong Ma (IEEE Trans. Knowl. Data Eng., 2025)

Learning Binarized Representations with Pseudo-positive Sample Enhancement for Efficient Graph Collaborative Filtering. - Yankai Chen 001; Yue Que; Xinni Zhang; Chen Ma 001; Irwin King (ACM Trans. Inf. Syst., 2025)