Liangwei Yang

According to our database, Liangwei Yang authored at least 25 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Instruction-based Hypergraph Pretraining.

Mingdai Yang, Zhiwei Liu, Liangwei Yang, Xiaolong Liu, Chen Wang, Hao Peng, Philip S. Yu

CoRR, 2024

Against Filter Bubbles: Diversified Music Recommendation via Weighted Hypergraph Embedding Learning.

Chaoguang Luo, Liuying Wen, Yong Qin, Liangwei Yang, Zhineng Hu, Philip S. Yu

CoRR, 2024

AgentLite: A Lightweight Library for Building and Advancing Task-Oriented LLM Agent System.

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

CoRR, 2024

AgentOhana: Design Unified Data and Training Pipeline for Effective Agent Learning.

Jianguo Zhang, Tian Lan, Rithesh Murthy, Zhiwei Liu, Weiran Yao, Juntao Tan, Thai Hoang, Liangwei Yang, Yihao Feng, Zuxin Liu, Tulika Awalgaonkar, Juan Carlos Niebles, Silvio Savarese, Shelby Heinecke, Huan Wang, Caiming Xiong

CoRR, 2024

Cyclic Neural Network.

Liangwei Yang, Hengrui Zhang, Zihe Song, Jiawei Zhang, Weizhi Zhang, Jing Ma, Philip S. Yu

CoRR, 2024

Unified Pretraining for Recommendation via Task Hypergraphs.

Mingdai Yang, Zhiwei Liu, Liangwei Yang, Xiaolong Liu, Chen Wang, Hao Peng, Philip S. Yu

Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

Knowledge Graph Context-Enhanced Diversified Recommendation.

Xiaolong Liu, Liangwei Yang, Zhiwei Liu, Mingdai Yang, Chen Wang, Hao Peng, Philip S. Yu

Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

2023

Collaborative Contextualization: Bridging the Gap between Collaborative Filtering and Pre-trained Language Model.

Chen Wang, Liangwei Yang, Zhiwei Liu, Xiaolong Liu, Mingdai Yang, Yueqing Liang, Philip S. Yu

CoRR, 2023

Conditional Denoising Diffusion for Sequential Recommendation.

Yu Wang, Zhiwei Liu, Liangwei Yang, Philip S. Yu

CoRR, 2023

Graph-based Village Level Poverty Identification.

Jing Ma, Liangwei Yang, Qiong Feng, Weizhi Zhang, Philip S. Yu

Proceedings of the ACM Web Conference 2023, 2023

DGRec: Graph Neural Network for Recommendation with Diversified Embedding Generation.

Liangwei Yang, Shengjie Wang, Yunzhe Tao, Jiankai Sun, Xiaolong Liu, Philip S. Yu, Taiqing Wang

Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

Ranking-based Group Identification via Factorized Attention on Social Tripartite Graph.

Mingdai Yang, Zhiwei Liu, Liangwei Yang, Xiaolong Liu, Chen Wang, Hao Peng, Philip S. Yu

Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

Multi-task Item-attribute Graph Pre-training for Strict Cold-start Item Recommendation.

Yuwei Cao, Liangwei Yang, Chen Wang, Zhiwei Liu, Hao Peng, Chenyu You, Philip S. Yu

Proceedings of the 17th ACM Conference on Recommender Systems, 2023

Group Identification via Transitional Hypergraph Convolution with Cross-view Self-supervised Learning.

Mingdai Yang, Zhiwei Liu, Liangwei Yang, Xiaolong Liu, Chen Wang, Hao Peng, Philip S. Yu

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Graph-based Alignment and Uniformity for Recommendation.

Liangwei Yang, Zhiwei Liu, Chen Wang, Mingdai Yang, Xiaolong Liu, Jing Ma, Philip S. Yu

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Dimension Independent Mixup for Hard Negative Sample in Collaborative Filtering.

Xi Wu, Liangwei Yang, Jibing Gong, Chao Zhou, Tianyu Lin, Xiaolong Liu, Philip S. Yu

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Dual-Teacher Knowledge Distillation for Strict Cold-Start Recommendation.

Weizhi Zhang, Liangwei Yang, Yuwei Cao, Ke Xu, Yuanjie Zhu, Philip S. Yu

Proceedings of the IEEE International Conference on Big Data, 2023

Multi-View Graph Convolution for Participant Recommendation.

Xiaolong Liu, Liangwei Yang, Chen Wang, Mingdai Yang, Zhiwei Liu, Philip S. Yu

Proceedings of the IEEE International Conference on Big Data, 2023

Group-Aware Interest Disentangled Dual-Training for Personalized Recommendation.

Xiaolong Liu, Liangwei Yang, Zhiwei Liu, Xiaohan Li, Mingdai Yang, Chen Wang, Philip S. Yu

Proceedings of the IEEE International Conference on Big Data, 2023

2022

Federated Social Recommendation with Graph Neural Network.

Zhiwei Liu, Liangwei Yang, Ziwei Fan, Hao Peng, Philip S. Yu

ACM Trans. Intell. Syst. Technol., 2022

Large-scale Personalized Video Game Recommendation via Social-aware Contextualized Graph Neural Network.

Liangwei Yang, Zhiwei Liu, Yu Wang, Chen Wang, Ziwei Fan, Philip S. Yu

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

ContrastVAE: Contrastive Variational AutoEncoder for Sequential Recommendation.

Yu Wang, Hengrui Zhang, Zhiwei Liu, Liangwei Yang, Philip S. Yu

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

MetaKRec: Collaborative Meta-Knowledge Enhanced Recommender System.

Shen Wang, Liangwei Yang, Jibing Gong, Shaojie Zheng, Shuying Du, Zhiwei Liu, Philip S. Yu

Proceedings of the IEEE International Conference on Big Data, 2022

2021

ConsisRec: Enhancing GNN for Social Recommendation via Consistent Neighbor Aggregation.

Liangwei Yang, Zhiwei Liu, Yingtong Dou, Jing Ma, Philip S. Yu

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

2020

Influential Nodes Identification in Complex Networks via Information Entropy.

Chungu Guo, Liangwei Yang, Xiao Chen, Duanbing Chen, Hui Gao, Jing Ma

Entropy, 2020