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ORCIDYong Liu 0020
刘勇
Person information
- affiliation: Huawei Noah's Ark Lab, Singapore
- affiliation: Nanyang Technological University, Singapore
- unicode name: 刘勇
Other persons with the same name
- Yong Liu — disambiguation page
- Yong Liu 0001
![[0000-0003-3156-7002]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0003-3156-7002")
— Outreach Corporation, Seattle, WA, USA (and 3 more) - Yong Liu 0002 — Chinese Academy of Sciences, Institute of Automation, Brainnetome Center, Beijing, China
- Yong Liu 0003 — Peking University, College of Environmental Science and Engineering, Beijing, China
- Yong Liu 0004 — Nanjing University of Science and Technology, School of Computer Science and Engineering, China
- Yong Liu 0005 — Southwest Jiaotong University, Key Laboratory of Information Coding and Transmission, Chengdu, China
- Yong Liu 0006 — University of Tennessee, Knoxville, TN, USA
- Yong Liu 0007 — Zhejiang University, Institute of Cyber-Systems and Control, State Key Laboratory of Industrial Control Technology, Hangzhou, China (and 1 more)
- Yong Liu 0008 — Wenzhou Medical University, School of Ophthalmology and Optometry, China
- Yong Liu 0009 — Nanyang Technological University, School of Electrical and Electronic Engineering, Singapore
- Yong Liu 0010 — Aalto University School of Business, Department of Information and Service Economy, Aalto, Finland (and 3 more)
- Yong Liu 0011 — Jilin University, School of Mechanical Science and Engineering, Changchun, China
- Yong Liu 0012 — The University of Aizu, Aizu-Wakamatsu, Japan (and 4 more)
- Yong Liu 0013 — New York University, Tandon School of Engineering, Department of Electrical and Computer Engineering, Brooklyn, NY, USA (and 1 more)
- Yong Liu 0014 — Texas A&M University, College Station, USA
- Yong Liu 0015 — Nottingham Trent University, UK
- Yong Liu 0016 — Tianjin University, School of Electrical and Information Engineering, Tianjin, China
- Yong Liu 0017 — National University of Defense Technology, School of Electronic Science, Changsha, China
- Yong Liu 0018 — Renmin University of China, China (and 2 more)
- Yong Liu 0019 — University of Science and Technology of China, School of Mathematical Sciences, Hefei, China
- Yong Liu 0021 — Beijing Polytechnic, School of Telecommunication Engineering, Beijing, China
- Yong Liu 0022 — Jiangnan University, School of Business, Wuxi, China
- Yong Liu 0023 — Shanghai Jiao Tong University, China (and 3 more)
- Yong Liu 0024 — Indiana University, Department of Computer Science, Bloomington, IN, USA
- Yong Liu 0025 — Northwestern Polytechnical University, College of Automation, Xi'an, China
- Yong Liu 0026 — A*STAR, Artificial Intelligence Initiative, Singapore (and 2 more)
- Yong Liu 0027 — Beijing University of Posts and Telecommunications, School of Information and Communication Engineering, Beijing Key Laboratory of Network System Architecture and Convergence, China
- Yong Liu 0028 — Chongqing Jiaotong University, School of Economics and Management, Chongqing, China
- Yong Liu 0029 — Heilongjiang University, China
- Yong Liu 0030 — University of Chemical Technology, College of Information Science and Technology, Beijing, China
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2020 – today
- 2024
[j28]Lei Zhang, Xingyu Wu, Yong Liu, Xin Zhou, Yiming Cao, Yonghui Xu, Lizhen Cui, Chunyan Miao:
Estimating package arrival time via heterogeneous hypergraph neural network. Expert Syst. Appl. 238(Part B): 121740 (2024)- [j27]Lei Zhang, Yong Liu, Zhiwei Zeng, Yiming Cao, Xingyu Wu, Yonghui Xu, Zhiqi Shen, Lizhen Cui:
Package Arrival Time Prediction via Knowledge Distillation Graph Neural Network. ACM Trans. Knowl. Discov. Data 18(5): 108:1-108:19 (2024) - [c64]Yanqi Ge, Qiang Nie, Ye Huang, Yong Liu, Chengjie Wang, Feng Zheng, Wen Li, Lixin Duan:
Beyond Prototypes: Semantic Anchor Regularization for Better Representation Learning. AAAI 2024: 1887-1895 - [c63]Mathieu Ravaut, Hao Zhang, Lu Xu, Aixin Sun, Yong Liu:
Parameter-Efficient Conversational Recommender System as a Language Processing Task. EACL (1) 2024: 152-165 - [c62]Hengchang Hu, Wei Guo, Xu Liu, Yong Liu, Ruiming Tang, Rui Zhang, Min-Yen Kan:
User Behavior Enriched Temporal Knowledge Graphs for Sequential Recommendation. WSDM 2024: 266-275 - [c61]Wenjie Wang, Yang Zhang, Xinyu Lin, Fuli Feng, Weiwen Liu, Yong Liu, Xiangyu Zhao, Wayne Xin Zhao, Yang Song, Xiangnan He:
The 2nd Workshop on Recommendation with Generative Models. WWW (Companion Volume) 2024: 1715-1718 - [c60]Yongqiang Han, Hao Wang, Kefan Wang, Likang Wu, Zhi Li, Wei Guo, Yong Liu, Defu Lian, Enhong Chen:
Efficient Noise-Decoupling for Multi-Behavior Sequential Recommendation. WWW 2024: 3297-3306 - [c59]Zirui Zhu, Yong Liu, Zangwei Zheng, Huifeng Guo, Yang You:
Helen: Optimizing CTR Prediction Models with Frequency-wise Hessian Eigenvalue Regularization. WWW 2024: 3485-3496 - [i50]Mathieu Ravaut, Hao Zhang, Lu Xu, Aixin Sun, Yong Liu:
Parameter-Efficient Conversational Recommender System as a Language Processing Task. CoRR abs/2401.14194 (2024) - [i49]Dexun Li, Cong Zhang, Kuicai Dong, Derrick-Goh-Xin Deik, Ruiming Tang, Yong Liu:
Aligning Crowd Feedback via Distributional Preference Reward Modeling. CoRR abs/2402.09764 (2024) - [i48]Yong Liu, Zirui Zhu, Chaoyu Gong, Minhao Cheng, Cho-Jui Hsieh, Yang You:
Sparse MeZO: Less Parameters for Better Performance in Zeroth-Order LLM Fine-Tuning. CoRR abs/2402.15751 (2024) - [i47]Zirui Zhu, Yong Liu, Zangwei Zheng, Huifeng Guo, Yang You:
Helen: Optimizing CTR Prediction Models with Frequency-wise Hessian Eigenvalue Regularization. CoRR abs/2403.00798 (2024) - [i46]Wenjie Wang, Yang Zhang, Xinyu Lin, Fuli Feng, Weiwen Liu, Yong Liu, Xiangyu Zhao, Wayne Xin Zhao, Yang Song, Xiangnan He:
The 2nd Workshop on Recommendation with Generative Models. CoRR abs/2403.04399 (2024) - [i45]Yongqiang Han, Hao Wang, Kefan Wang, Likang Wu, Zhi Li, Wei Guo, Yong Liu, Defu Lian, Enhong Chen:
END4Rec: Efficient Noise-Decoupling for Multi-Behavior Sequential Recommendation. CoRR abs/2403.17603 (2024) - [i44]Kuicai Dong, Derrick-Goh-Xin Deik, Yi Quan Lee, Hao Zhang, Xiangyang Li, Cong Zhang, Yong Liu:
Multi-view Content-aware Indexing for Long Document Retrieval. CoRR abs/2404.15103 (2024) - [i43]Mingjia Yin, Hao Wang, Wei Guo, Yong Liu, Zhi Li, Sirui Zhao, Defu Lian, Enhong Chen:
Learning Partially Aligned Item Representation for Cross-Domain Sequential Recommendation. CoRR abs/2405.12473 (2024) - [i42]Cong Zhang, Derrick-Goh-Xin Deik, Dexun Li, Hao Zhang, Yong Liu:
Meta-Task Planning for Language Agents. CoRR abs/2405.16510 (2024) - [i41]Mingjia Yin, Hao Wang, Wei Guo, Yong Liu, Suojuan Zhang, Sirui Zhao, Defu Lian, Enhong Chen:
Dataset Regeneration for Sequential Recommendation. CoRR abs/2405.17795 (2024) - [i40]Huanshuo Liu, Hao Zhang, Zhijiang Guo, Kuicai Dong, Xiangyang Li, Yi Quan Lee, Cong Zhang, Yong Liu:
CtrlA: Adaptive Retrieval-Augmented Generation via Probe-Guided Control. CoRR abs/2405.18727 (2024) - [i39]Hao Zhang, Yuyang Zhang, Xiaoguang Li, Wenxuan Shi, Haonan Xu, Huanshuo Liu, Yasheng Wang, Lifeng Shang, Qun Liu, Yong Liu, Ruiming Tang:
Evaluating the External and Parametric Knowledge Fusion of Large Language Models. CoRR abs/2405.19010 (2024) - [i38]Xiangyang Li, Kuicai Dong, Yi Quan Lee, Wei Xia, Yichun Yin, Hao Zhang, Yong Liu, Yasheng Wang, Ruiming Tang:
CoIR: A Comprehensive Benchmark for Code Information Retrieval Models. CoRR abs/2407.02883 (2024) - [i37]Bo Chen, Xinyi Dai, Huifeng Guo, Wei Guo, Weiwen Liu, Yong Liu, Jiarui Qin, Ruiming Tang, Yichao Wang, Chuhan Wu, Yaxiong Wu, Hao Zhang:
All Roads Lead to Rome: Unveiling the Trajectory of Recommender Systems Across the LLM Era. CoRR abs/2407.10081 (2024) - 2023
- [j26]Ke Zhang, Min Wu, Yong Liu, Yimiao Feng, Jie Zheng:
KR4SL: knowledge graph reasoning for explainable prediction of synthetic lethality. Bioinform. 39(Supplement-1): 158-167 (2023) - [j25]Yong Liu, Xin Zhou, Wei Zhong:
Multi-Modality Image Fusion and Object Detection Based on Semantic Information. Entropy 25(5): 718 (2023) - [j24]Wei Zhou, Yong Liu, Min Li, Yu Wang, Zhiqi Shen, Liang Feng, Zexuan Zhu:
Dynamic Multi-Objective Optimization Framework With Interactive Evolution for Sequential Recommendation. IEEE Trans. Emerg. Top. Comput. Intell. 7(4): 1228-1241 (2023) - [j23]Yong Liu, Susen Yang, Yonghui Xu, Chunyan Miao, Min Wu, Juyong Zhang:
Contextualized Graph Attention Network for Recommendation With Item Knowledge Graph. IEEE Trans. Knowl. Data Eng. 35(1): 181-195 (2023) - [j22]Yong Liu, Susen Yang, Yinan Zhang, Chunyan Miao, Zaiqing Nie, Juyong Zhang:
Learning Hierarchical Review Graph Representations for Recommendation. IEEE Trans. Knowl. Data Eng. 35(1): 658-671 (2023) - [j21]Zemin Liu, Yuan Fang, Yong Liu, Vincent W. Zheng:
Neighbor-Anchoring Adversarial Graph Neural Networks. IEEE Trans. Knowl. Data Eng. 35(1): 784-795 (2023) - [j20]Yidan Hu, Yong Liu, Chunyan Miao, Gongqi Lin, Yuan Miao:
Aspect-Guided Syntax Graph Learning for Explainable Recommendation. IEEE Trans. Knowl. Data Eng. 35(8): 7768-7781 (2023) - [j19]Chang'an Yi, Haotian Chen, Yonghui Xu, Huanhuan Chen, Yong Liu, Haishu Tan, Yuguang Yan, Han Yu:
Multicomponent Adversarial Domain Adaptation: A General Framework. IEEE Trans. Neural Networks Learn. Syst. 34(10): 6824-6838 (2023) - [j18]Xin Zhou, Aixin Sun, Yong Liu, Jie Zhang, Chunyan Miao:
SelfCF: A Simple Framework for Self-supervised Collaborative Filtering. Trans. Recomm. Syst. 1(2): 1-25 (2023) - [c58]Feiyu Yin, Yong Liu, Zhiqi Shen, Lisi Chen, Shuo Shang, Peng Han:
Next POI Recommendation with Dynamic Graph and Explicit Dependency. AAAI 2023: 4827-4834 - [c57]Qianwen Meng, Hangwei Qian, Yong Liu, Lizhen Cui, Yonghui Xu, Zhiqi Shen:
MHCCL: Masked Hierarchical Cluster-Wise Contrastive Learning for Multivariate Time Series. AAAI 2023: 9153-9161 - [c56]Yongwei Wang, Yong Liu, Zhiqi Shen:
Revisiting Item Promotion in GNN-Based Collaborative Filtering: A Masked Targeted Topological Attack Perspective. AAAI 2023: 15206-15214 - [c55]Hengchang Hu, Wei Guo, Yong Liu, Min-Yen Kan:
Adaptive Multi-Modalities Fusion in Sequential Recommendation Systems. CIKM 2023: 843-853 - [c54]Mingjia Yin, Hao Wang, Xiang Xu, Likang Wu, Sirui Zhao, Wei Guo, Yong Liu, Ruiming Tang, Defu Lian, Enhong Chen:
APGL4SR: A Generic Framework with Adaptive and Personalized Global Collaborative Information in Sequential Recommendation. CIKM 2023: 3009-3019 - [c53]Wei Guo, Chenxu Zhu, Fan Yan, Bo Chen, Weiwen Liu, Huifeng Guo, Hongkun Zheng, Yong Liu, Ruiming Tang:
DFFM: Domain Facilitated Feature Modeling for CTR Prediction. CIKM 2023: 4602-4608 - [c52]Wenjie Wang, Yong Liu, Yang Zhang, Weiwen Liu, Fuli Feng, Xiangnan He, Aixin Sun:
The 1st Workshop on Recommendation with Generative Models. CIKM 2023: 5300-5303 - [c51]Xin Zhou, Donghui Lin, Yong Liu, Chunyan Miao:
Layer-refined Graph Convolutional Networks for Recommendation. ICDE 2023: 1247-1259 - [c50]Yixin Zhang, Yong Liu, Hao Xiong, Yi Liu, Fuqiang Yu, Wei He, Yonghui Xu, Lizhen Cui, Chunyan Miao:
Cross-Domain Disentangled Learning for E-Commerce Live Streaming Recommendation. ICDE 2023: 2955-2968 - [c49]Lei Zhang, Xin Zhou, Zhiwei Zeng, Yiming Cao, Yonghui Xu, Mingliang Wang, Xingyu Wu, Yong Liu, Lizhen Cui, Zhiqi Shen:
Delivery Time Prediction Using Large-Scale Graph Structure Learning Based on Quantile Regression. ICDE 2023: 3403-3416 - [c48]Rahul Agrawal, Sarang Brahme, Sourav Maitra, Abhishek Srivastava, Athirai A. Irissappane, Yong Liu, Saikishore Kalloori:
RecSys Challenge 2023 Dataset: Ads Recommendations in Online Advertising. RecSys Challenge 2023: 1-3 - [c47]Rahul Agrawal, Sarang Brahme, Sourav Maitra, Saikishore Kalloori, Abhishek Srivastava, Yong Liu, Athirai A. Irissappane:
RecSys Challenge 2023: Deep Funnel Optimization with a Focus on User Privacy. RecSys 2023: 1217-1220 - [c46]Weiwen Liu, Wei Guo, Yong Liu, Ruiming Tang, Hao Wang:
User Behavior Modeling with Deep Learning for Recommendation: Recent Advances. RecSys 2023: 1286-1287 - [c45]Xin Zhou, Jinglong Wang, Yong Liu, Xingyu Wu, Zhiqi Shen, Cyril Leung:
Inductive Graph Transformer for Delivery Time Estimation. WSDM 2023: 679-687 - [c44]Ruiming Tang, Bo Chen, Yejing Wang, Huifeng Guo, Yong Liu, Wenqi Fan, Xiangyu Zhao:
AutoML for Deep Recommender Systems: Fundamentals and Advances. WSDM 2023: 1264-1267 - [c43]Yong Liu, Hao Zhang, Zhu Sun, Shoujin Wang, Jie Zhang:
WSDM 2023 Workshop on Interactive Recommender Systems. WSDM 2023: 1275-1276 - [c42]Xin Zhou, Hongyu Zhou, Yong Liu, Zhiwei Zeng, Chunyan Miao, Pengwei Wang, Yuan You, Feijun Jiang:
Bootstrap Latent Representations for Multi-modal Recommendation. WWW 2023: 845-854 - [i36]Zehua Sun, Yonghui Xu, Yong Liu, Wei He, Yali Jiang, Fangzhao Wu, Lizhen Cui:
A Survey on Federated Recommendation Systems. CoRR abs/2301.00767 (2023) - [i35]Tong Zhang, Yong Liu, Boyang Li, Zhiwei Zeng, Pengwei Wang, Yuan You, Chunyan Miao, Lizhen Cui:
History-Aware Hierarchical Transformer for Multi-session Open-domain Dialogue System. CoRR abs/2302.00907 (2023) - [i34]Qianwen Meng, Hangwei Qian, Yong Liu, Yonghui Xu, Zhiqi Shen, Lizhen Cui:
Unsupervised Representation Learning for Time Series: A Review. CoRR abs/2308.01578 (2023) - [i33]Hengchang Hu, Wei Guo, Yong Liu, Min-Yen Kan:
Adaptive Multi-Modalities Fusion in Sequential Recommendation Systems. CoRR abs/2308.15980 (2023) - [i32]Mingjia Yin, Hao Wang, Xiang Xu, Likang Wu, Sirui Zhao, Wei Guo, Yong Liu, Ruiming Tang, Defu Lian, Enhong Chen:
APGL4SR: A Generic Framework with Adaptive and Personalized Global Collaborative Information in Sequential Recommendation. CoRR abs/2311.02816 (2023) - [i31]Yanqi Ge, Qiang Nie, Ye Huang, Yong Liu, Chengjie Wang, Feng Zheng, Wen Li, Lixin Duan:
Beyond Prototypes: Semantic Anchor Regularization for Better Representation Learning. CoRR abs/2312.11872 (2023) - 2022
- [j17]Xuejiao Zhao, Yong Liu, Yonghui Xu, Yonghua Yang, Xusheng Luo, Chunyan Miao:
Heterogeneous star graph attention network for product attributes prediction. Adv. Eng. Informatics 51: 101447 (2022) - [j16]Yuanguo Lin, Fan Lin, Lvqing Yang, Wenhua Zeng, Yong Liu, Pengcheng Wu:
Context-aware reinforcement learning for course recommendation. Appl. Soft Comput. 125: 109189 (2022) - [j15]Wei Zhang, Yuanguo Lin, Yong Liu, Huanyu You, Pengcheng Wu, Fan Lin, Xiuze Zhou:
Self-Supervised Reinforcement Learning with dual-reward for knowledge-aware recommendation. Appl. Soft Comput. 131: 109745 (2022) - [j14]Yahui Long, Min Wu, Yong Liu, Yuan Fang, Chee Keong Kwoh, Jinmiao Chen, Jiawei Luo, Xiaoli Li:
Pre-training graph neural networks for link prediction in biomedical networks. Bioinform. 38(8): 2254-2262 (2022) - [j13]Yuanguo Lin, Fan Lin, Wenhua Zeng, Jianbing Xiahou, Li Li, Pengcheng Wu, Yong Liu, Chunyan Miao:
Hierarchical reinforcement learning with dynamic recurrent mechanism for course recommendation. Knowl. Based Syst. 244: 108546 (2022) - [j12]Li Li, Fan Lin, Jianbing Xiahou, Yuanguo Lin, Pengcheng Wu, Yong Liu:
Federated low-rank tensor projections for sequential recommendation. Knowl. Based Syst. 255: 109483 (2022) - [j11]Wei Zhou, Liang Feng, Kay Chen Tan, Min Jiang, Yong Liu:
Evolutionary Search With Multiview Prediction for Dynamic Multiobjective Optimization. IEEE Trans. Evol. Comput. 26(5): 911-925 (2022) - [c41]Fuzhao Xue, Ziji Shi, Futao Wei, Yuxuan Lou, Yong Liu, Yang You:
Go Wider Instead of Deeper. AAAI 2022: 8779-8787 - [c40]Tong Zhang, Yong Liu, Boyang Li, Peixiang Zhong, Chen Zhang, Hao Wang, Chunyan Miao:
Toward Knowledge-Enriched Conversational Recommendation Systems. ConvAI@ACL 2022: 212-217 - [c39]Yidan Hu, Yong Liu, Chunyan Miao, Yuan Miao:
Memory Bank Augmented Long-tail Sequential Recommendation. CIKM 2022: 791-801 - [c38]Yong Liu, Siqi Mai, Xiangning Chen, Cho-Jui Hsieh, Yang You:
Towards Efficient and Scalable Sharpness-Aware Minimization. CVPR 2022: 12350-12360 - [c37]Lingzi Zhang, Yong Liu, Xin Zhou, Chunyan Miao, Guoxin Wang, Haihong Tang:
Diffusion-Based Graph Contrastive Learning for Recommendation with Implicit Feedback. DASFAA (2) 2022: 232-247 - [c36]Xiaoning Zong, Yong Liu, Yonghui Xu, Yixin Zhang, Zhiqi Shen, Yonghua Yang, Lizhen Cui:
SAER: Sentiment-Opinion Alignment Explainable Recommendation. DASFAA (2) 2022: 315-322 - [c35]Tong Zhang, Yong Liu, Boyang Li, Zhiwei Zeng, Pengwei Wang, Yuan You, Chunyan Miao, Lizhen Cui:
History-Aware Hierarchical Transformer for Multi-session Open-domain Dialogue System. EMNLP (Findings) 2022: 3395-3407 - [c34]Zemin Liu, Yuan Fang, Yong Liu, Vincent W. Zheng:
Neighbor-Anchoring Adversarial Graph Neural Networks (Extended Abstract). ICDE 2022: 1571-1572 - [c33]Chaoyu Gong, Yongbin Liu, Di Fu, Yong Liu, Pei-hong Wang, Yang You:
Self-reconstructive evidential clustering for high-dimensional data. ICDE 2022: 2099-2112 - [c32]Chaoyu Gong, Yongbin Li, Yong Liu, Pei-hong Wang, Yang You:
Joint Evidential $K$-Nearest Neighbor Classification. ICDE 2022: 2113-2126 - [c31]Yong Liu, Xiangning Chen, Minhao Cheng, Cho-Jui Hsieh, Yang You:
Concurrent Adversarial Learning for Large-Batch Training. ICLR 2022 - [c30]Yixin Zhang, Yong Liu, Yonghui Xu, Hao Xiong, Chenyi Lei, Wei He, Lizhen Cui, Chunyan Miao:
Enhancing Sequential Recommendation with Graph Contrastive Learning. IJCAI 2022: 2398-2405 - [c29]Xuan Rao, Lisi Chen, Yong Liu, Shuo Shang, Bin Yao, Peng Han:
Graph-Flashback Network for Next Location Recommendation. KDD 2022: 1463-1471 - [c28]Yong Liu, Siqi Mai, Minhao Cheng, Xiangning Chen, Cho-Jui Hsieh, Yang You:
Random Sharpness-Aware Minimization. NeurIPS 2022 - [i30]Yong Liu, Siqi Mai, Xiangning Chen, Cho-Jui Hsieh, Yang You:
Towards Efficient and Scalable Sharpness-Aware Minimization. CoRR abs/2203.02714 (2022) - [i29]Yixin Zhang, Yong Liu, Yonghui Xu, Hao Xiong, Chenyi Lei, Wei He, Lizhen Cui, Chunyan Miao:
Enhancing Sequential Recommendation with Graph Contrastive Learning. CoRR abs/2205.14837 (2022) - [i28]Yinan Zhang, Boyang Li, Yong Liu, You Yuan, Chunyan Miao:
Minimalist and High-performance Conversational Recommendation with Uncertainty Estimation for User Preference. CoRR abs/2206.14468 (2022) - [i27]Xin Zhou, Hongyu Zhou, Yong Liu, Zhiwei Zeng, Chunyan Miao, Pengwei Wang, Yuan You, Feijun Jiang:
Bootstrap Latent Representations for Multi-modal Recommendation. CoRR abs/2207.05969 (2022) - [i26]Xin Zhou, Donghui Lin, Yong Liu, Chunyan Miao:
Layer-refined Graph Convolutional Networks for Recommendation. CoRR abs/2207.11088 (2022) - [i25]Yongwei Wang, Yong Liu, Zhiqi Shen:
Revisiting Item Promotion in GNN-based Collaborative Filtering: A Masked Targeted Topological Attack Perspective. CoRR abs/2208.09979 (2022) - [i24]Xin Zhou, Jinglong Wang, Yong Liu, Xingyu Wu, Zhiqi Shen, Cyril Leung:
Inductive Graph Transformer for Delivery Time Estimation. CoRR abs/2211.02863 (2022) - [i23]Qianwen Meng, Hangwei Qian, Yong Liu, Yonghui Xu, Zhiqi Shen, Lizhen Cui:
MHCCL: Masked Hierarchical Cluster-wise Contrastive Learning for Multivariate Time Series. CoRR abs/2212.01141 (2022) - 2021
- [j10]Yahui Long, Min Wu, Yong Liu, Jie Zheng, Chee Keong Kwoh, Jiawei Luo, Xiaoli Li:
Graph contextualized attention network for predicting synthetic lethality in human cancers. Bioinform. 37(16): 2432-2440 (2021) - [j9]Shike Wang, Fan Xu, Yunyang Li, Jie Wang, Ke Zhang, Yong Liu, Min Wu, Jie Zheng:
KG4SL: knowledge graph neural network for synthetic lethality prediction in human cancers. Bioinform. 37(Supplement): 418-425 (2021) - [j8]Yuanguo Lin, Shibo Feng, Fan Lin, Wenhua Zeng, Yong Liu, Pengcheng Wu:
Adaptive course recommendation in MOOCs. Knowl. Based Syst. 224: 107085 (2021) - [j7]Bo Liu, Yong Liu, Huiyan Zhang, Yonghui Xu, Can Tang, Lianggui Tang, Huafeng Qin, Chunyan Miao:
Adaptive Power Iteration Clustering. Knowl. Based Syst. 225: 107118 (2021) - [j6]Juan Cheng, Ping Wang, Rencheng Song, Yu Liu, Chang Li, Yong Liu, Xun Chen:
Remote Heart Rate Measurement From Near-Infrared Videos Based on Joint Blind Source Separation With Delay-Coordinate Transformation. IEEE Trans. Instrum. Meas. 70: 1-13 (2021) - [c27]Qinxu Ding, Yong Liu, Chunyan Miao, Fei Cheng, Haihong Tang:
A Hybrid Bandit Framework for Diversified Recommendation. AAAI 2021: 4036-4044 - [c26]Peixiang Zhong, Yong Liu, Hao Wang, Chunyan Miao:
Keyword-Guided Neural Conversational Model. AAAI 2021: 14568-14576 - [c25]Yongjie Wang, Qinxu Ding, Ke Wang, Yue Liu, Xingyu Wu, Jinglong Wang, Yong Liu, Chunyan Miao:
The Skyline of Counterfactual Explanations for Machine Learning Decision Models. CIKM 2021: 2030-2039 - [c24]Yang Li, Xingyu Wu, Jinglong Wang, Yong Liu, Xiaoqing Wang, Yuming Deng, Chunyan Miao:
Unsupervised Categorical Representation Learning for Package Arrival Time Prediction. CIKM 2021: 3935-3944 - [c23]Yong Liu, Zhiqi Shen, Yinan Zhang, Lizhen Cui:
Diversity-Promoting Deep Reinforcement Learning for Interactive Recommendation. ICCSE 2021: 132-139 - [c22]Yinan Zhang, Boyang Li, Yong Liu, Hao Wang, Chunyan Miao:
Initialization Matters: Regularizing Manifold-informed Initialization for Neural Recommendation Systems. KDD 2021: 2263-2273 - [c21]Chenyi Lei, Yong Liu, Lingzi Zhang, Guoxin Wang, Haihong Tang, Houqiang Li, Chunyan Miao:
SEMI: A Sequential Multi-Modal Information Transfer Network for E-Commerce Micro-Video Recommendations. KDD 2021: 3161-3171 - [c20]Chenyi Lei, Shixian Luo, Yong Liu, Wanggui He, Jiamang Wang, Guoxin Wang, Haihong Tang, Chunyan Miao, Houqiang Li:
Understanding Chinese Video and Language via Contrastive Multimodal Pre-Training. ACM Multimedia 2021: 2567-2576 - [c19]Yong Liu, Susen Yang, Chenyi Lei, Guoxin Wang, Haihong Tang, Juyong Zhang, Aixin Sun, Chunyan Miao:
Pre-training Graph Transformer with Multimodal Side Information for Recommendation. ACM Multimedia 2021: 2853-2861 - [p1]Nhu Khue Vuong, Yong Liu, Syin Chan, Chiew Tong Lau, Zhenghua Chen, Min Wu, Xiaoli Li:
Classification of Travel Patterns Including Wandering Based on Bi-directional Long Short-Term Memory Networks. Generalization with Deep Learning 2021: 279-301 - [i22]Chenyi Lei, Shixian Luo, Yong Liu, Wanggui He, Jiamang Wang, Guoxin Wang, Haihong Tang, Chunyan Miao, Houqiang Li:
Understanding Chinese Video and Language via Contrastive Multimodal Pre-Training. CoRR abs/2104.09411 (2021) - [i21]Tong Zhang, Yong Liu, Peixiang Zhong, Chen Zhang, Hao Wang, Chunyan Miao:
KECRS: Towards Knowledge-Enriched Conversational Recommendation System. CoRR abs/2105.08261 (2021) - [i20]Yong Liu, Xiangning Chen, Minhao Cheng, Cho-Jui Hsieh, Yang You:
Concurrent Adversarial Learning for Large-Batch Training. CoRR abs/2106.00221 (2021) - [i19]Yinan Zhang, Boyang Li, Yong Liu, Hao Wang, Chunyan Miao:
Initialization Matters: Regularizing Manifold-informed Initialization for Neural Recommendation Systems. CoRR abs/2106.04993 (2021) - [i18]Xin Zhou, Aixin Sun, Yong Liu, Jie Zhang, Chunyan Miao:
SelfCF: A Simple Framework for Self-supervised Collaborative Filtering. CoRR abs/2107.03019 (2021) - [i17]Fuzhao Xue, Ziji Shi, Futao Wei, Yuxuan Lou, Yong Liu, Yang You:
Go Wider Instead of Deeper. CoRR abs/2107.11817 (2021) - [i16]Yuanguo Lin, Yong Liu, Fan Lin, Pengcheng Wu, Wenhua Zeng, Chunyan Miao:
A Survey on Reinforcement Learning for Recommender Systems. CoRR abs/2109.10665 (2021) - [i15]Ling Cheng, Wei Wei, Feida Zhu, Yong Liu, Chunyan Miao:
Geometry-Entangled Visual Semantic Transformer for Image Captioning. CoRR abs/2109.14137 (2021) - [i14]Yidan Hu, Yong Liu, Chunyan Miao, Gongqi Lin, Yuan Miao:
Hierarchical Aspect-guided Explanation Generation for Explainable Recommendation. CoRR abs/2110.10358 (2021) - 2020
- [j5]Ling Cheng, Wei Wei, Xianling Mao, Yong Liu, Chunyan Miao:
Stack-VS: Stacked Visual-Semantic Attention for Image Caption Generation. IEEE Access 8: 154953-154965 (2020) - [j4]Yonghui Xu, Chunyan Miao, Yong Liu, Hengjie Song, Yi Hu, Huaqing Min:
Kernel-target alignment based non-linear metric learning. Neurocomputing 411: 54-66 (2020) - [j3]Liang Zou, Xingliang Zhu, Changfeng Wu, Yong Liu, Lei Qu:
Spectral-Spatial Exploration for Hyperspectral Image Classification via the Fusion of Fully Convolutional Networks. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 13: 659-674 (2020) - [j2]Yong Liu, Min Wu, Chenghao Liu, Xiaoli Li, Jie Zheng:
SL2MF: Predicting Synthetic Lethality in Human Cancers via Logistic Matrix Factorization. IEEE ACM Trans. Comput. Biol. Bioinform. 17(3): 748-757 (2020) - [c18]Yong Liu, Yingtai Xiao, Qiong Wu, Chunyan Miao, Juyong Zhang, Binqiang Zhao, Haihong Tang:
Diversified Interactive Recommendation with Implicit Feedback. AAAI 2020: 4932-4939 - [c17]Nhu Khue Vuong, Yong Liu, Syin Chan, Chiew Tong Lau, Zhenghua Chen, Min Wu, Xiaoli Li:
Deep learning with long short-term memory networks for classification of dementia related travel patterns. EMBC 2020: 5563-5566 - [c16]Peixiang Zhong, Chen Zhang, Hao Wang, Yong Liu, Chunyan Miao:
Towards Persona-Based Empathetic Conversational Models. EMNLP (1) 2020: 6556-6566 - [c15]Peng Han, Zhongxiao Li, Yong Liu, Peilin Zhao, Jing Li, Hao Wang, Shuo Shang:
Contextualized Point-of-Interest Recommendation. IJCAI 2020: 2484-2490 - [c14]Yinan Zhang, Yong Liu, Peng Han, Chunyan Miao, Lizhen Cui, Baoli Li, Haihong Tang:
Learning Personalized Itemset Mapping for Cross-Domain Recommendation. IJCAI 2020: 2561-2567 - [i13]Susen Yang, Yong Liu, Yonghui Xu, Chunyan Miao, Min Wu, Juyong Zhang:
Contextualized Graph Attention Network for Recommendation with Item Knowledge Graph. CoRR abs/2004.11529 (2020) - [i12]Susen Yang, Yong Liu, Yinan Zhang, Chunyan Miao, Zaiqing Nie, Juyong Zhang:
Learning Hierarchical Review Graph Representation for Recommendation. CoRR abs/2004.11588 (2020) - [i11]Peixiang Zhong, Yan Sun, Yong Liu, Chen Zhang, Hao Wang, Zaiqing Nie, Chunyan Miao:
Endowing Empathetic Dialogue Systems with Personas. CoRR abs/2004.12316 (2020) - [i10]Susen Yang, Yong Liu, Chenyi Lei, Guoxin Wang, Haihong Tang, Juyong Zhang, Chunyan Miao:
A Pre-training Strategy for Recommendation. CoRR abs/2010.12284 (2020) - [i9]Peixiang Zhong, Yong Liu, Hao Wang, Chunyan Miao:
Keyword-Guided Neural Conversational Model. CoRR abs/2012.08383 (2020) - [i8]Qinxu Ding, Yong Liu, Chunyan Miao, Fei Cheng, Haihong Tang:
A Hybrid Bandit Framework for Diversified Recommendation. CoRR abs/2012.13245 (2020)
2010 – 2019
- 2019
- [c13]Qiong Wu, Yong Liu, Chunyan Miao, Binqiang Zhao, Yin Zhao, Lu Guan:
PD-GAN: Adversarial Learning for Personalized Diversity-Promoting Recommendation. IJCAI 2019: 3870-3876 - [c12]Peng Han, Peng Yang, Peilin Zhao, Shuo Shang, Yong Liu, Jiayu Zhou, Xin Gao, Panos Kalnis:
GCN-MF: Disease-Gene Association Identification By Graph Convolutional Networks and Matrix Factorization. KDD 2019: 705-713 - [i7]Chaoyue He, Yong Liu, Qingyu Guo, Chunyan Miao:
Multi-Scale Quasi-RNN for Next Item Recommendation. CoRR abs/1902.09849 (2019) - [i6]Yong Liu, Yinan Zhang, Qiong Wu, Chunyan Miao, Lizhen Cui, Binqiang Zhao, Yin Zhao, Lu Guan:
Diversity-Promoting Deep Reinforcement Learning for Interactive Recommendation. CoRR abs/1903.07826 (2019) - [i5]Qiong Wu, Yong Liu, Chunyan Miao, Yin Zhao, Lu Guan, Haihong Tang:
Recent Advances in Diversified Recommendation. CoRR abs/1905.06589 (2019) - [i4]Yong Liu, Yingtai Xiao, Qiong Wu, Chunyan Miao, Juyong Zhang:
Bandit Learning for Diversified Interactive Recommendation. CoRR abs/1907.01647 (2019) - 2018
- [c11]Yong Liu, Lifan Zhao, Guimei Liu, Xinyan Lu, Peng Gao, Xiao-Li Li, Zhihui Jin:
Dynamic Bayesian Logistic Matrix Factorization for Recommendation with Implicit Feedback. IJCAI 2018: 3463-3469 - [c10]Peng Yang, Peilin Zhao, Yong Liu, Xin Gao:
Robust Cost-Sensitive Learning for Recommendation with Implicit Feedback. SDM 2018: 621-629 - [i3]Yong Liu, Min Wu, Chenghao Liu, Xiaoli Li, Jie Zheng:
SL2MF: Predicting Synthetic Lethality in Human Cancers via Logistic Matrix Factorization. CoRR abs/1810.08726 (2018) - 2017
- [c9]Jung-Jae Kim, Yong Liu, Wee-Yong Lim, Vrizlynn L. L. Thing:
An Empirical Study on Collective Online Behaviors of Extremist Supporters. ADMA 2017: 445-459 - [c8]Shuji Hao, Peilin Zhao, Yong Liu, Steven C. H. Hoi, Chunyan Miao:
Online Multitask Relative Similarity Learning. IJCAI 2017: 1823-1829 - [c7]Yong Liu, Peilin Zhao, Xin Liu, Min Wu, Lixin Duan, Xiaoli Li:
Learning User Dependencies for Recommendation. IJCAI 2017: 2379-2385 - [i2]Peng Yang, Peilin Zhao, Xin Gao, Yong Liu:
Robust Cost-Sensitive Learning for Recommendation with Implicit Feedback. CoRR abs/1707.00536 (2017) - 2016
- [b1]Yong Liu:
Personalized and adaptive recommendation. Nanyang Technological University, Singapore, 2016 - [j1]Yong Liu, Min Wu, Chunyan Miao, Peilin Zhao, Xiaoli Li:
Neighborhood Regularized Logistic Matrix Factorization for Drug-Target Interaction Prediction. PLoS Comput. Biol. 12(2) (2016) - [c6]Xin Liu, Yong Liu, Xiaoli Li:
Exploring the Context of Locations for Personalized Location Recommendations. IJCAI 2016: 1188-1194 - [i1]Yong Liu, Peilin Zhao, Xin Liu, Min Wu, Xiaoli Li:
Learning Optimal Social Dependency for Recommendation. CoRR abs/1603.04522 (2016) - 2015
- [c5]Yong Liu, Peilin Zhao, Aixin Sun, Chunyan Miao:
A Boosting Algorithm for Item Recommendation with Implicit Feedback. IJCAI 2015: 1792-1798 - 2014
- [c4]Yong Liu, Wei Wei, Aixin Sun, Chunyan Miao:
Exploiting Geographical Neighborhood Characteristics for Location Recommendation. CIKM 2014: 739-748 - [c3]Jian-Ping Mei, Han Yu, Yong Liu, Zhiqi Shen, Chunyan Miao:
A Social Trust Model Considering Trustees' Influence. PRIMA 2014: 357-364 - [c2]Longke Hu, Aixin Sun, Yong Liu:
Your neighbors affect your ratings: on geographical neighborhood influence to rating prediction. SIGIR 2014: 345-354 - 2013
- [c1]Xin Liu, Yong Liu, Karl Aberer, Chunyan Miao:
Personalized point-of-interest recommendation by mining users' preference transition. CIKM 2013: 733-738
Coauthor Index
Li-zhen Cui
aka: Lizhen Cui
aka: Lizhen Cui
[j28] [j23] [j22] [j20] [j18] [c51] [c50] [c42] [i35] [j17] [j13] [c40] [c39] [c37] [c35] [c30] [i29] [i28] [i27] [i26] [j7] [c27] [c26] [c25] [c24] [c22] [c21] [c20] [c19] [i22] [i21] [i19] [i18] [i16] [i15] [i14] [j5] [j4] [c18] [c16] [c14] [i13] [i12] [i11] [i10] [i9] [i8] [c13] [i7] [i6] [i5] [i4] [c8] [j1] [c5] [c4] [c3] [c1]
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