Yong Liu

ORCID

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 111

Top Venues

Publications

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 (2024)
Mathieu Ravaut, Hao Zhang, Lu Xu, Aixin Sun, Yong Liu
Parameter-Efficient Conversational Recommender System as a Language Processing Task. EACL (1) (2024)
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 (2024)
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) (2024)
Zirui Zhu, Yong Liu, Zangwei Zheng, Huifeng Guo, Yang You
Helen: Optimizing CTR Prediction Models with Frequency-wise Hessian Eigenvalue Regularization. CoRR (2024)
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)
Mingjia Yin, Hao Wang, Wei Guo, Yong Liu, Suojuan Zhang, Sirui Zhao, Defu Lian, Enhong Chen
Dataset Regeneration for Sequential Recommendation. KDD (2024)
Dexun Li, Cong Zhang, Kuicai Dong, Derrick-Goh-Xin Deik, Ruiming Tang, Yong Liu
Aligning Crowd Feedback via Distributional Preference Reward Modeling. CoRR (2024)
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)
Cong Zhang, Derrick-Goh-Xin Deik, Dexun Li, Hao Zhang, Yong Liu
Meta-Task Planning for Language Agents. CoRR (2024)
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 (2024)
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 (2024)
Mingjia Yin, Hao Wang, Wei Guo, Yong Liu, Suojuan Zhang, Sirui Zhao, Defu Lian, Enhong Chen
Dataset Regeneration for Sequential Recommendation. CoRR (2024)
Mingjia Yin, Chuhan Wu, Yufei Wang, Hao Wang, Wei Guo, Yasheng Wang, Yong Liu, Ruiming Tang, Defu Lian, Enhong Chen
Entropy Law: The Story Behind Data Compression and LLM Performance. CoRR (2024)
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 (2024)
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 (2024)
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 (2024)
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)
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 (2024)
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) (2024)
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 (2024)
Zirui Zhu, Yong Liu, Zangwei Zheng, Huifeng Guo, Yang You
Helen: Optimizing CTR Prediction Models with Frequency-wise Hessian Eigenvalue Regularization. WWW (2024)
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)
Ke Zhang, Min Wu, Yong Liu, Yimiao Feng, Jie Zheng
KR4SL: knowledge graph reasoning for explainable prediction of synthetic lethality. Bioinform. 39 (Supplement-1) (2023)
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) (2023)
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)
Xin Zhou, Aixin Sun, Yong Liu, Jie Zhang, Chunyan Miao
SelfCF: A Simple Framework for Self-supervised Collaborative Filtering. Trans. Recomm. Syst. 1 (2) (2023)
Yong Liu, Xin Zhou, Wei Zhong
Multi-Modality Image Fusion and Object Detection Based on Semantic Information. Entropy 25 (5) (2023)
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)
Zemin Liu, Yuan Fang, Yong Liu, Vincent W. Zheng
Neighbor-Anchoring Adversarial Graph Neural Networks. IEEE Trans. Knowl. Data Eng. 35 (1) (2023)
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) (2023)
Weiwen Liu, Wei Guo, Yong Liu, Ruiming Tang, Hao Wang
User Behavior Modeling with Deep Learning for Recommendation: Recent Advances. RecSys (2023)
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)
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) (2023)
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 (2023)
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) (2023)
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)
Xin Zhou, Donghui Lin, Yong Liu, Chunyan Miao
Layer-refined Graph Convolutional Networks for Recommendation. ICDE (2023)
Yongwei Wang, Yong Liu, Zhiqi Shen
Revisiting Item Promotion in GNN-Based Collaborative Filtering: A Masked Targeted Topological Attack Perspective. AAAI (2023)
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)
Wenjie Wang, Yong Liu, Yang Zhang, Weiwen Liu, Fuli Feng, Xiangnan He, Aixin Sun
The 1st Workshop on Recommendation with Generative Models. CIKM (2023)
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) (2023)
Qianwen Meng, Hangwei Qian, Yong Liu, Yonghui Xu, Zhiqi Shen, Lizhen Cui
Unsupervised Representation Learning for Time Series: A Review. CoRR (2023)
Feiyu Yin, Yong Liu, Zhiqi Shen, Lisi Chen, Shuo Shang, Peng Han
Next POI Recommendation with Dynamic Graph and Explicit Dependency. AAAI (2023)
Hengchang Hu, Wei Guo, Yong Liu, Min-Yen Kan
Adaptive Multi-Modalities Fusion in Sequential Recommendation Systems. CIKM (2023)
Xin Zhou, Donghui Lin, Yong Liu, Chunyan Miao
Layer-refined Graph Convolutional Networks for Recommendation. CoRR (2022)
Tong Zhang, Yong Liu, Boyang Li, Peixiang Zhong, Chen Zhang, Hao Wang, Chunyan Miao
Toward Knowledge-Enriched Conversational Recommendation Systems. ConvAI@ACL (2022)
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)
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) (2022)
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)
Yixin Zhang, Yong Liu, Yonghui Xu, Hao Xiong, Chenyi Lei, Wei He, Lizhen Cui, Chunyan Miao
Enhancing Sequential Recommendation with Graph Contrastive Learning. CoRR (2022)
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 (2022)
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) (2022)
Yuanguo Lin, Fan Lin, Lvqing Yang, Wenhua Zeng, Yong Liu, Pengcheng Wu
Context-aware reinforcement learning for course recommendation. Appl. Soft Comput. 125 (2022)
Xiaoning Zong, Yong Liu, Yonghui Xu, Yixin Zhang, Zhiqi Shen, Yonghua Yang, Lizhen Cui
SAER: Sentiment-Opinion Alignment Explainable Recommendation. DASFAA (2) (2022)
Yidan Hu, Yong Liu, Chunyan Miao, Yuan Miao
Memory Bank Augmented Long-tail Sequential Recommendation. CIKM (2022)
Yinan Zhang, Boyang Li, Yong Liu, You Yuan, Chunyan Miao
Minimalist and High-performance Conversational Recommendation with Uncertainty Estimation for User Preference. CoRR (2022)
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 (2022)
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 (2022)
Xin Zhou, Jinglong Wang, Yong Liu, Xingyu Wu, Zhiqi Shen, Cyril Leung
Inductive Graph Transformer for Delivery Time Estimation. CoRR (2022)
Li Li, Fan Lin, Jianbing Xiahou, Yuanguo Lin, Pengcheng Wu, Yong Liu
Federated low-rank tensor projections for sequential recommendation. Knowl. Based Syst. 255 (2022)
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)
Xin Zhou, Hongyu Zhou, Yong Liu, Zhiwei Zeng, Chunyan Miao, Pengwei Wang, Yuan You, Feijun Jiang
Bootstrap Latent Representations for Multi-modal Recommendation. CoRR (2022)
Bo Liu, Yong Liu, Huiyan Zhang, Yonghui Xu, Can Tang, Lianggui Tang, Huafeng Qin, Chunyan Miao
Adaptive Power Iteration Clustering. Knowl. Based Syst. 225 (2021)
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)
Tong Zhang, Yong Liu, Peixiang Zhong, Chen Zhang, Hao Wang, Chunyan Miao
KECRS: Towards Knowledge-Enriched Conversational Recommendation System. CoRR (2021)
Yuanguo Lin, Yong Liu, Fan Lin, Pengcheng Wu, Wenhua Zeng, Chunyan Miao
A Survey on Reinforcement Learning for Recommender Systems. CoRR (2021)
Yidan Hu, Yong Liu, Chunyan Miao, Gongqi Lin, Yuan Miao
Hierarchical Aspect-guided Explanation Generation for Explainable Recommendation. CoRR (2021)
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)
Ling Cheng, Wei Wei, Feida Zhu, Yong Liu, Chunyan Miao
Geometry-Entangled Visual Semantic Transformer for Image Captioning. CoRR (2021)
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 (2021)
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)
Xin Zhou, Aixin Sun, Yong Liu, Jie Zhang, Chunyan Miao
SelfCF: A Simple Framework for Self-supervised Collaborative Filtering. CoRR (2021)
Yinan Zhang, Boyang Li, Yong Liu, Hao Wang, Chunyan Miao
Initialization Matters: Regularizing Manifold-informed Initialization for Neural Recommendation Systems. KDD (2021)
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 (2021)
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)
Peixiang Zhong, Yong Liu, Hao Wang, Chunyan Miao
Keyword-Guided Neural Conversational Model. AAAI (2021)
Yinan Zhang, Boyang Li, Yong Liu, Hao Wang, Chunyan Miao
Initialization Matters: Regularizing Manifold-informed Initialization for Neural Recommendation Systems. CoRR (2021)
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)
Qinxu Ding, Yong Liu, Chunyan Miao, Fei Cheng, Haihong Tang
A Hybrid Bandit Framework for Diversified Recommendation. AAAI (2021)
Qinxu Ding, Yong Liu, Chunyan Miao, Fei Cheng, Haihong Tang
A Hybrid Bandit Framework for Diversified Recommendation. CoRR (2020)
Peng Han, Zhongxiao Li, Yong Liu, Peilin Zhao, Jing Li, Hao Wang, Shuo Shang
Contextualized Point-of-Interest Recommendation. IJCAI (2020)
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 (2020)
Yong Liu, Min Wu, Chenghao Liu, Xiaoli Li, Jie Zheng
MF: Predicting Synthetic Lethality in Human Cancers via Logistic Matrix Factorization. IEEE ACM Trans. Comput. Biol. Bioinform. 17 (3) (2020)
Susen Yang, Yong Liu, Yonghui Xu, Chunyan Miao, Min Wu, Juyong Zhang
Contextualized Graph Attention Network for Recommendation with Item Knowledge Graph. CoRR (2020)
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)
Peixiang Zhong, Yong Liu, Hao Wang, Chunyan Miao
Keyword-Guided Neural Conversational Model. CoRR (2020)
Yinan Zhang, Yong Liu, Peng Han, Chunyan Miao, Lizhen Cui, Baoli Li, Haihong Tang
Learning Personalized Itemset Mapping for Cross-Domain Recommendation. IJCAI (2020)
Ling Cheng, Wei Wei, Xianling Mao, Yong Liu, Chunyan Miao
Stack-VS: Stacked Visual-Semantic Attention for Image Caption Generation. IEEE Access 8 (2020)
Yong Liu, Yingtai Xiao, Qiong Wu, Chunyan Miao, Juyong Zhang, Binqiang Zhao, Haihong Tang
Diversified Interactive Recommendation with Implicit Feedback. AAAI (2020)
Peixiang Zhong, Yan Sun, Yong Liu, Chen Zhang, Hao Wang, Zaiqing Nie, Chunyan Miao
Endowing Empathetic Dialogue Systems with Personas. CoRR (2020)
Peixiang Zhong, Chen Zhang, Hao Wang, Yong Liu, Chunyan Miao
Towards Persona-Based Empathetic Conversational Models. EMNLP (1) (2020)
Susen Yang, Yong Liu, Yinan Zhang, Chunyan Miao, Zaiqing Nie, Juyong Zhang
Learning Hierarchical Review Graph Representation for Recommendation. CoRR (2020)
Yonghui Xu, Chunyan Miao, Yong Liu, Hengjie Song, Yi Hu, Huaqing Min
Kernel-target alignment based non-linear metric learning. Neurocomputing 411 (2020)
Susen Yang, Yong Liu, Chenyi Lei, Guoxin Wang, Haihong Tang, Juyong Zhang, Chunyan Miao
A Pre-training Strategy for Recommendation. CoRR (2020)
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)
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 (2019)
Qiong Wu, Yong Liu, Chunyan Miao, Binqiang Zhao, Yin Zhao, Lu Guan
PD-GAN: Adversarial Learning for Personalized Diversity-Promoting Recommendation. IJCAI (2019)
Yong Liu, Yingtai Xiao, Qiong Wu, Chunyan Miao, Juyong Zhang
Bandit Learning for Diversified Interactive Recommendation. CoRR (2019)
Chaoyue He, Yong Liu, Qingyu Guo, Chunyan Miao
Multi-Scale Quasi-RNN for Next Item Recommendation. CoRR (2019)

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Publication Activity (10 Years)

Top Topics

Top Venues

Yong Liu