Yong Liu 0020 - researchr alias

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2025

Towards Auto-Regressive Next-Token Prediction: In-context Learning Emerges from GeneralizationZixuan Gong, Xiaolin Hu, Huayi Tang, Yong Liu 0020. iclr 2025: [doi]

Stability and Generalization of Zeroth-Order Decentralized Stochastic Gradient Descent with Changing TopologyXiaolin Hu, Zixuan Gong, Gengze Xu, Wei Liu 0005, Jian Luan 0001, Bin Wang 0004, Yong Liu 0020. AAAI 2025: 17342-17350 [doi]

How Can Recommender Systems Benefit from Large Language Models: A SurveyJianghao Lin, Xinyi Dai, Yunjia Xi, Weiwen Liu, Bo Chen 0023, Hao Zhang 0048, Yong Liu 0020, Chuhan Wu, Xiangyang Li, Chenxu Zhu, Huifeng Guo, Yong Yu 0001, Ruiming Tang, Weinan Zhang 0001. tois, 43(2), March 2025. [doi]

A Survey on Federated Recommendation SystemsZehua Sun, Yonghui Xu, Yong Liu 0020, Wei He 0020, Lanju Kong, Fangzhao Wu, Yali Jiang, LiZhen Cui. tnn, 36(1):6-20, January 2025. [doi]

Multi-granularity Interest Retrieval and Refinement Network for Long-Term User Behavior Modeling in CTR PredictionXiang Xu, Hao Wang 0076, Wei Guo 0006, Luankang Zhang, Wanshan Yang, Runlong Yu, Yong Liu 0020, Defu Lian, Enhong Chen. kdd 2025: 2745-2755 [doi]

Conditional Potential User Mining framework via explainable surrogate modelsYibowen Zhao, Yonghui Xu, Yong Liu 0020, Luwei Yang, Wen Jiang, Wei Ning, Xiaofang Sun, LiZhen Cui. eswa, 262:125587, 2025. [doi]

2024

Package Arrival Time Prediction via Knowledge Distillation Graph Neural NetworkLei Zhang 0199, Yong Liu 0020, Zhiwei Zeng, Yiming Cao, Xingyu Wu, Yonghui Xu, Zhiqi Shen 0001, LiZhen Cui. tkdd, 18(5), June 2024. [doi]

A Survey on Reinforcement Learning for Recommender SystemsYuanguo Lin, Yong Liu 0020, Fan Lin, Lixin Zou, Pengcheng Wu, Wenhua Zeng, Huanhuan Chen, Chunyan Miao. tnn, 35(10):13164-13184, October 2024. [doi]

Collaborative Sequential Recommendations via Multi-view GNN-transformersTianze Luo, Yong Liu 0020, Sinno Jialin Pan. tois, 42(6), November 2024. [doi]

Parameter-Efficient Conversational Recommender System as a Language Processing TaskMathieu Ravaut, Hao Zhang, Lu Xu, Aixin Sun, Yong Liu 0020. eacl 2024: 152-165 [doi]

Enhancing Click-through Rate Prediction in Recommendation Domain with Search Query RepresentationYuening Wang, Man Chen, Yaochen Hu 0001, Wei Guo 0006, Yingxue Zhang 0001, Huifeng Guo, Yong Liu 0020, Mark Coates. CIKM 2024: 2462-2471 [doi]

Dataset Regeneration for Sequential RecommendationMingjia Yin, Hao Wang 0076, Wei Guo 0006, Yong Liu 0020, Suojuan Zhang, Sirui Zhao, Defu Lian, Enhong Chen. kdd 2024: 3954-3965 [doi]

Estimating package arrival time via heterogeneous hypergraph neural networkLei Zhang, Xingyu Wu, Yong Liu 0020, Xin Zhou 0008, Yiming Cao, Yonghui Xu, LiZhen Cui, Chunyan Miao. eswa, 238(Part B):121740, March 2024. [doi]

2023

SelfCF: A Simple Framework for Self-supervised Collaborative FilteringXin Zhou 0008, Aixin Sun, Yong Liu 0020, Jie Zhang 0002, Chunyan Miao. tors, 1(2):1-25, June 2023. [doi]

Contextualized Graph Attention Network for Recommendation With Item Knowledge GraphYong Liu 0020, Susen Yang, Yonghui Xu, Chunyan Miao, Min Wu 0008, Juyong Zhang. tkde, 35(1):181-195, 2023. [doi]

Learning Hierarchical Review Graph Representations for RecommendationYong Liu 0020, Susen Yang, Yinan Zhang, Chunyan Miao, Zaiqing Nie, Juyong Zhang. tkde, 35(1):658-671, 2023. [doi]

Multi-Modality Image Fusion and Object Detection Based on Semantic InformationYong Liu 0020, Xin Zhou, Wei Zhong. entropy, 25(5):718, 2023. [doi]

RecSys Challenge 2023 Dataset: Ads Recommendations in Online AdvertisingRahul Agrawal, Sarang Brahme, Sourav Maitra, Abhishek Srivastava 0004, Athirai A. Irissappane, Yong Liu 0020, Saikishore Kalloori. recsys 2023: 1-3 [doi]

Aspect-Guided Syntax Graph Learning for Explainable RecommendationYidan Hu, Yong Liu 0020, Chunyan Miao, Gongqi Lin, Yuan Miao 0001. tkde, 35(8):7768-7781, August 2023. [doi]

Neighbor-Anchoring Adversarial Graph Neural NetworksZemin Liu, Yuan Fang 0001, Yong Liu 0020, Vincent W. Zheng. tkde, 35(1):784-795, 2023. [doi]

Revisiting Item Promotion in GNN-Based Collaborative Filtering: A Masked Targeted Topological Attack PerspectiveYongwei Wang, Yong Liu 0020, Zhiqi Shen 0001. AAAI 2023: 15206-15214 [doi]

Multicomponent Adversarial Domain Adaptation: A General FrameworkChang'an Yi, Haotian Chen, Yonghui Xu, Huanhuan Chen, Yong Liu 0020, Haishu Tan, Yuguang Yan, Han Yu 0001. tnn, 34(10):6824-6838, October 2023. [doi]

Next POI Recommendation with Dynamic Graph and Explicit DependencyFeiyu Yin, Yong Liu 0020, Zhiqi Shen 0001, Lisi Chen, Shuo Shang, Peng Han 0005. AAAI 2023: 4827-4834 [doi]

Delivery Time Prediction Using Large-Scale Graph Structure Learning Based on Quantile RegressionLei Zhang, Xin Zhou, Zhiwei Zeng, Yiming Cao, Yonghui Xu, Mingliang Wang, Xingyu Wu, Yong Liu 0020, LiZhen Cui, Zhiqi Shen 0001. icde 2023: 3403-3416 [doi]

KR4SL: knowledge graph reasoning for explainable prediction of synthetic lethalityKe Zhang, Min Wu 0008, Yong Liu 0020, Yimiao Feng, Jie Zheng 0002. bioinformatics, 39(Supplement-1):158-167, 2023. [doi]

Layer-refined Graph Convolutional Networks for RecommendationXin Zhou, Donghui Lin, Yong Liu 0020, Chunyan Miao. icde 2023: 1247-1259 [doi]

Dynamic Multi-Objective Optimization Framework With Interactive Evolution for Sequential RecommendationWei Zhou, Yong Liu 0020, Min Li, Yu Wang, Zhiqi Shen 0001, Liang Feng, Zexuan Zhu. tetci, 7(4):1228-1241, August 2023. [doi]

2022

Memory Bank Augmented Long-tail Sequential RecommendationYidan Hu, Yong Liu 0020, Chunyan Miao, Yuan Miao 0001. CIKM 2022: 791-801 [doi]

Federated low-rank tensor projections for sequential recommendationLi Li, Fan Lin, Jianbing Xiahou, Yuanguo Lin, Pengcheng Wu, Yong Liu 0020. kbs, 255:109483, 2022. [doi]

Hierarchical reinforcement learning with dynamic recurrent mechanism for course recommendationYuanguo Lin, Fan Lin, Wenhua Zeng, Jianbing Xiahou, Li Li, Pengcheng Wu, Yong Liu 0020, Chunyan Miao. kbs, 244:108546, 2022. [doi]

Context-aware reinforcement learning for course recommendationYuanguo Lin, Fan Lin, Lvqing Yang, Wenhua Zeng, Yong Liu 0020, Pengcheng Wu. asc, 125:109189, 2022. [doi]

Pre-training graph neural networks for link prediction in biomedical networksYahui Long, Min Wu 0008, Yong Liu 0020, Yuan Fang 0001, Chee-Keong Kwoh 0001, Jinmiao Chen, Jiawei Luo 0001, Xiaoli Li 0001. bioinformatics, 38(8):2254-2262, 2022. [doi]

NSF4SL: negative-sample-free contrastive learning for ranking synthetic lethal partner genes in human cancersShike Wang, Yimiao Feng, Xin Liu 0027, Yong Liu 0020, Min Wu 0008, Jie Zheng 0002. bioinformatics, 38(Supplement_2), 2022. [doi]

Diffusion-Based Graph Contrastive Learning for Recommendation with Implicit FeedbackLingzi Zhang, Yong Liu 0020, Xin Zhou, Chunyan Miao, Guoxin Wang 0002, Haihong Tang. dasfaa 2022: 232-247 [doi]

Toward Knowledge-Enriched Conversational Recommendation SystemsTong Zhang, Yong Liu 0020, Boyang Li, Peixiang Zhong, Chen Zhang, Hao Wang, Chunyan Miao. acl-convai 2022: 212-217 [doi]

Self-Supervised Reinforcement Learning with dual-reward for knowledge-aware recommendationWei Zhang, Yuanguo Lin, Yong Liu 0020, Huanyu You, Pengcheng Wu, Fan Lin, Xiuze Zhou. asc, 131:109745, 2022. [doi]

Heterogeneous star graph attention network for product attributes predictionXuejiao Zhao, Yong Liu 0020, Yonghui Xu, Yonghua Yang, Xusheng Luo, Chunyan Miao. aei, 51:101447, 2022. [doi]

Evolutionary Search With Multiview Prediction for Dynamic Multiobjective OptimizationWei Zhou, Liang Feng, Kay Chen Tan, Min Jiang 0005, Yong Liu 0020. tec, 26(5):911-925, 2022. [doi]

SAER: Sentiment-Opinion Alignment Explainable RecommendationXiaoning Zong, Yong Liu 0020, Yonghui Xu, Yixin Zhang, Zhiqi Shen 0001, Yonghua Yang, LiZhen Cui. dasfaa 2022: 315-322 [doi]

2021

2020

Diversified Interactive Recommendation with Implicit FeedbackYong Liu 0020, Yingtai Xiao, Qiong Wu 0001, Chunyan Miao, Juyong Zhang, Binqiang Zhao, Haihong Tang. AAAI 2020: 4932-4939 [doi]

2MF: Predicting Synthetic Lethality in Human Cancers via Logistic Matrix FactorizationYong Liu 0020, Min Wu 0008, Chenghao Liu, Xiaoli Li 0001, Jie Zheng 0002. tcbb, 17(3):748-757, 2020. [doi]

Stack-VS: Stacked Visual-Semantic Attention for Image Caption GenerationLing Cheng, Wei Wei 0002, Xianling Mao, Yong Liu 0020, Chunyan Miao. access, 8:154953-154965, 2020. [doi]

Ensembling graph attention networks for human microbe-drug association predictionYahui Long, Min Wu 0008, Yong Liu 0020, Chee-Keong Kwoh 0001, Jiawei Luo 0001, Xiaoli Li 0001. bioinformatics, 36(Supplement-2), 2020. [doi]

Kernel-target alignment based non-linear metric learningYonghui Xu, Chunyan Miao, Yong Liu 0020, Hengjie Song, Yi Hu, HuaQing Min. ijon, 411:54-66, 2020. [doi]

Towards Persona-Based Empathetic Conversational ModelsPeixiang Zhong, Chen Zhang, Hao Wang, Yong Liu 0020, Chunyan Miao. emnlp 2020: 6556-6566 [doi]

Spectral-Spatial Exploration for Hyperspectral Image Classification via the Fusion of Fully Convolutional NetworksLiang Zou, Xingliang Zhu, Changfeng Wu, Yong Liu 0020, Lei Qu. staeors, 13:659-674, 2020. [doi]

2016

Personalized and adaptive recommendationYong Liu 0020. PhD thesis, Nanyang Technological University, Singapore, 2016. [doi]

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