Liangwei Yang

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 50

Top Topics

Collaborative Filtering

Negatively Correlated

Information Entropy

Social Recommendation

Top Venues

Publications

Yu Wang, Zhiwei Liu, Liangwei Yang, Philip S. Yu
Conditional Denoising Diffusion for Sequential Recommendation. PAKDD (5) (2024)
Liangwei Yang, Hengrui Zhang, Zihe Song, Jiawei Zhang, Weizhi Zhang, Jing Ma, Philip S. Yu
Cyclic Neural Network. CoRR (2024)
Chaoguang Luo, Liuying Wen, Yong Qin, Liangwei Yang, Zhineng Hu, Philip S. Yu
Against Filter Bubbles: Diversified Music Recommendation via Weighted Hypergraph Embedding Learning. CoRR (2024)
Weizhi Zhang, Liangwei Yang, Zihe Song, Henry Peng Zou, Ke Xu, Liancheng Fang, Philip S. Yu
Do We Really Need Graph Convolution During Training? Light Post-Training Graph-ODE for Efficient Recommendation. CoRR (2024)
Zuxin Liu, Thai Hoang, Jianguo Zhang, Ming Zhu, Tian Lan, Shirley Kokane, Juntao Tan, Weiran Yao, Zhiwei Liu, Yihao Feng, Rithesh Murthy, Liangwei Yang, Silvio Savarese, Juan Carlos Niebles, Huan Wang, Shelby Heinecke, Caiming Xiong
APIGen: Automated Pipeline for Generating Verifiable and Diverse Function-Calling Datasets. CoRR (2024)
Mingdai Yang, Zhiwei Liu, Liangwei Yang, Xiaolong Liu, Chen Wang, Hao Peng, Philip S. Yu
Instruction-based Hypergraph Pretraining. SIGIR (2024)
Xiaolong Liu, Liangwei Yang, Zhiwei Liu, Mingdai Yang, Chen Wang, Hao Peng, Philip S. Yu
Knowledge Graph Context-Enhanced Diversified Recommendation. WSDM (2024)
Chen Wang, Ziwei Fan, Liangwei Yang, Mingdai Yang, Xiaolong Liu, Zhiwei Liu, Philip S. Yu
Pre-Training with Transferable Attention for Addressing Market Shifts in Cross-Market Sequential Recommendation. KDD (2024)
Yueqing Liang, Liangwei Yang, Chen Wang, Xiongxiao Xu, Philip S. Yu, Kai Shu
Taxonomy-Guided Zero-Shot Recommendations with LLMs. CoRR (2024)
Rithesh Murthy, Liangwei Yang, Juntao Tan, Tulika Manoj Awalgaonkar, Yilun Zhou, Shelby Heinecke, Sachin Desai, Jason Wu, Ran Xu, Sarah Tan, Jianguo Zhang, Zhiwei Liu, Shirley Kokane, Zuxin Liu, Ming Zhu, Huan Wang, Caiming Xiong, Silvio Savarese
MobileAIBench: Benchmarking LLMs and LMMs for On-Device Use Cases. CoRR (2024)
Mingdai Yang, Zhiwei Liu, Liangwei Yang, Xiaolong Liu, Chen Wang, Hao Peng, Philip S. Yu
Instruction-based Hypergraph Pretraining. CoRR (2024)
Jianguo Zhang, Tian Lan, Rithesh Murthy, Zhiwei Liu, Weiran Yao, Juntao Tan, Thai Hoang, Liangwei Yang, Yihao Feng, Zuxin Liu, Tulika Manoj Awalgaonkar, Juan Carlos Niebles, Silvio Savarese, Shelby Heinecke, Huan Wang, Caiming Xiong
AgentOhana: Design Unified Data and Training Pipeline for Effective Agent Learning. CoRR (2024)
Zhiwei Liu, Weiran Yao, Jianguo Zhang, Liangwei Yang, Zuxin Liu, Juntao Tan, Prafulla Kumar Choubey, Tian Lan, Jason Wu, Huan Wang, Shelby Heinecke, Caiming Xiong, Silvio Savarese
AgentLite: A Lightweight Library for Building and Advancing Task-Oriented LLM Agent System. CoRR (2024)
Liangwei Yang, Zhiwei Liu, Jianguo Zhang, Rithesh Murthy, Shelby Heinecke, Huan Wang, Caiming Xiong, Philip S. Yu
Personalized Multi-task Training for Recommender System. CoRR (2024)
Mingdai Yang, Zhiwei Liu, Liangwei Yang, Xiaolong Liu, Chen Wang, Hao Peng, Philip S. Yu
Unified Pretraining for Recommendation via Task Hypergraphs. WSDM (2024)
Weizhi Zhang, Liangwei Yang, Zihe Song, Henry Peng Zou, Ke Xu, Yuanjie Zhu, Philip S. Yu
Mixed Supervised Graph Contrastive Learning for Recommendation. CoRR (2024)
Mingdai Yang, Zhiwei Liu, Liangwei Yang, Xiaolong Liu, Chen Wang, Hao Peng, Philip S. Yu
Unified Pretraining for Recommendation via Task Hypergraphs. CoRR (2023)
Xiaolong Liu, Liangwei Yang, Zhiwei Liu, Mingdai Yang, Chen Wang, Hao Peng, Philip S. Yu
Knowledge Graph Context-Enhanced Diversified Recommendation. CoRR (2023)
Yuwei Cao, Liangwei Yang, Chen Wang, Zhiwei Liu, Hao Peng, Chenyu You, Philip S. Yu
Multi-task Item-attribute Graph Pre-training for Strict Cold-start Item Recommendation. CoRR (2023)
Jing Ma, Liangwei Yang, Qiong Feng, Weizhi Zhang, Philip S. Yu
Graph-based Village Level Poverty Identification. WWW (2023)
Xi Wu, Liangwei Yang, Jibing Gong, Chao Zhou, Tianyu Lin, Xiaolong Liu, Philip S. Yu
Dimension Independent Mixup for Hard Negative Sample in Collaborative Filtering. CoRR (2023)
Xiaolong Liu, Liangwei Yang, Zhiwei Liu, Xiaohan Li, Mingdai Yang, Chen Wang, Philip S. Yu
Group-Aware Interest Disentangled Dual-Training for Personalized Recommendation. CoRR (2023)
Xiaolong Liu, Liangwei Yang, Chen Wang, Mingdai Yang, Zhiwei Liu, Philip S. Yu
Multi-view Graph Convolution for Participant Recommendation. CoRR (2023)
Yu Wang, Zhiwei Liu, Liangwei Yang, Philip S. Yu
Conditional Denoising Diffusion for Sequential Recommendation. CoRR (2023)
Yuwei Cao, Liangwei Yang, Chen Wang, Zhiwei Liu, Hao Peng, Chenyu You, Philip S. Yu
Multi-task Item-attribute Graph Pre-training for Strict Cold-start Item Recommendation. RecSys (2023)
Xiaolong Liu, Liangwei Yang, Zhiwei Liu, Xiaohan Li, Mingdai Yang, Chen Wang, Philip S. Yu
Group-Aware Interest Disentangled Dual-Training for Personalized Recommendation. BigData (2023)
Mingdai Yang, Zhiwei Liu, Liangwei Yang, Xiaolong Liu, Chen Wang, Hao Peng, Philip S. Yu
Group Identification via Transitional Hypergraph Convolution with Cross-view Self-supervised Learning. CoRR (2023)
Weizhi Zhang, Liangwei Yang, Yuwei Cao, Ke Xu, Yuanjie Zhu, Philip S. Yu
Dual-Teacher Knowledge Distillation for Strict Cold-Start Recommendation. BigData (2023)
Liangwei Yang, Shengjie Wang, Yunzhe Tao, Jiankai Sun, Xiaolong Liu, Philip S. Yu, Taiqing Wang
DGRec: Graph Neural Network for Recommendation with Diversified Embedding Generation. WSDM (2023)
Xiaolong Liu, Liangwei Yang, Chen Wang, Mingdai Yang, Zhiwei Liu, Philip S. Yu
Multi-View Graph Convolution for Participant Recommendation. BigData (2023)
Liangwei Yang, Zhiwei Liu, Chen Wang, Mingdai Yang, Xiaolong Liu, Jing Ma, Philip S. Yu
Graph-based Alignment and Uniformity for Recommendation. CIKM (2023)
Chen Wang, Liangwei Yang, Zhiwei Liu, Xiaolong Liu, Mingdai Yang, Yueqing Liang, Philip S. Yu
Collaborative Contextualization: Bridging the Gap between Collaborative Filtering and Pre-trained Language Model. CoRR (2023)
Xi Wu, Liangwei Yang, Jibing Gong, Chao Zhou, Tianyu Lin, Xiaolong Liu, Philip S. Yu
Dimension Independent Mixup for Hard Negative Sample in Collaborative Filtering. CIKM (2023)
Jing Ma, Liangwei Yang, Qiong Feng, Weizhi Zhang, Philip S. Yu
Graph-based Village Level Poverty Identification. CoRR (2023)
Liangwei Yang, Zhiwei Liu, Chen Wang, Mingdai Yang, Xiaolong Liu, Jing Ma, Philip S. Yu
Graph-based Alignment and Uniformity for Recommendation. CoRR (2023)
Mingdai Yang, Zhiwei Liu, Liangwei Yang, Xiaolong Liu, Chen Wang, Hao Peng, Philip S. Yu
Ranking-based Group Identification via Factorized Attention on Social Tripartite Graph. WSDM (2023)
Mingdai Yang, Zhiwei Liu, Liangwei Yang, Xiaolong Liu, Chen Wang, Hao Peng, Philip S. Yu
Group Identification via Transitional Hypergraph Convolution with Cross-view Self-supervised Learning. CIKM (2023)
Mingdai Yang, Zhiwei Liu, Liangwei Yang, Xiaolong Liu, Chen Wang, Hao Peng, Philip S. Yu
Ranking-based Group Identification via Factorized Attention on Social Tripartite Graph. CoRR (2022)
Liangwei Yang, Zhiwei Liu, Yu Wang, Chen Wang, Ziwei Fan, Philip S. Yu
Large-scale Personalized Video Game Recommendation via Social-aware Contextualized Graph Neural Network. WWW (2022)
Yu Wang, Hengrui Zhang, Zhiwei Liu, Liangwei Yang, Philip S. Yu
ContrastVAE: Contrastive Variational AutoEncoder for Sequential Recommendation. CIKM (2022)
Zhiwei Liu, Liangwei Yang, Ziwei Fan, Hao Peng, Philip S. Yu
Federated Social Recommendation with Graph Neural Network. ACM Trans. Intell. Syst. Technol. 13 (4) (2022)
Liangwei Yang, Shen Wang, Jibing Gong, Shaojie Zheng, Shuying Du, Zhiwei Liu, Philip S. Yu
MetaKRec: Collaborative Meta-Knowledge Enhanced Recommender System. CoRR (2022)
Shen Wang, Liangwei Yang, Jibing Gong, Shaojie Zheng, Shuying Du, Zhiwei Liu, Philip S. Yu
MetaKRec: Collaborative Meta-Knowledge Enhanced Recommender System. Big Data (2022)
Liangwei Yang, Shengjie Wang, Yunzhe Tao, Jiankai Sun, Xiaolong Liu, Philip S. Yu, Taiqing Wang
DGRec: Graph Neural Network for Recommendation with Diversified Embedding Generation. CoRR (2022)
Liangwei Yang, Zhiwei Liu, Yu Wang, Chen Wang, Ziwei Fan, Philip S. Yu
Large-scale Personalized Video Game Recommendation via Social-aware Contextualized Graph Neural Network. CoRR (2022)
Yu Wang, Hengrui Zhang, Zhiwei Liu, Liangwei Yang, Philip S. Yu
ContrastVAE: Contrastive Variational AutoEncoder for Sequential Recommendation. CoRR (2022)
Zhiwei Liu, Liangwei Yang, Ziwei Fan, Hao Peng, Philip S. Yu
Federated Social Recommendation with Graph Neural Network. CoRR (2021)
Liangwei Yang, Zhiwei Liu, Yingtong Dou, Jing Ma, Philip S. Yu
ConsisRec: Enhancing GNN for Social Recommendation via Consistent Neighbor Aggregation. SIGIR (2021)
Liangwei Yang, Zhiwei Liu, Yingtong Dou, Jing Ma, Philip S. Yu
ConsisRec: Enhancing GNN for Social Recommendation via Consistent Neighbor Aggregation. CoRR (2021)
Chungu Guo, Liangwei Yang, Xiao Chen, Duanbing Chen, Hui Gao, Jing Ma
Influential Nodes Identification in Complex Networks via Information Entropy. Entropy 22 (2) (2020)