Liangwei Yang
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
28
Venues
11
Active years
2021–2026
Best venue rank
A*
Where they publish
Papers
28 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | Benchmarking LLMs for Political Science: A United Nations Perspective. | Yueqing Liang, Liangwei Yang, Chen Wang, Congying Xia, Rui Meng, Xiongxiao Xu, Haoran Wang, Ali Payani, Kai Shu |
| 2026 | ACL | PersonaAgent: Bridging Memory and Action for Personalized LLM Agents. | Weizhi Zhang, Xinyang Zhang, Chenwei Zhang, Liangwei Yang, Jingbo Shang, Zhepei Wei, Henry Peng Zou, Zijie Huang, Zhengyang Wang, Yifan Gao, Xiaoman Pan, Lian Xiong, Jingguo Liu, Philip S. Yu, Xian Li |
| 2026 | KDD | StabCF: A Stabilized Training Method for Collaborative Filtering. | Xi Wu, Wenzhe Zhang, Liangwei Yang, Yi Zhao, Jiquan Peng, Jibing Gong |
| 2025 | ACL | PersonaBench: Evaluating AI Models on Understanding Personal Information through Accessing (Synthetic) Private User Data. | Juntao Tan, Liangwei Yang, Zuxin Liu, Zhiwei Liu, Rithesh R. N., Tulika Manoj Awalgaonkar, Jianguo Zhang, Weiran Yao, Ming Zhu, Shirley Kokane, Silvio Savarese, Huan Wang, Caiming Xiong, Shelby Heinecke |
| 2025 | CIKM | Dual Context-Aware Negative Sampling Strategy for Graph-based Collaborative Filtering. | Xi Wu, Wenzhe Zhang, Liangwei Yang, Xiaohan Fang, Jiquan Peng, Jibing Gong |
| 2025 | COLING | Taxonomy-Guided Zero-Shot Recommendations with LLMs. | Yueqing Liang, Liangwei Yang, Chen Wang, Xiongxiao Xu, Philip S. Yu, Kai Shu |
| 2025 | EMNLP | LLMInit: A Free Lunch from Large Language Models for Selective Initialization of Recommendation. | Weizhi Zhang, Liangwei Yang, Wooseong Yang, Henry Peng Zou, Yuqing Liu, Ke Xu, Sourav Medya, Philip S. Yu |
| 2025 | KDD | Benchmarking Graph Foundation Models. | Jinyu Yang, Liangwei Yang, Zeyuan Guo, Jiayi Gao, Jing Wu, Tianhao Chai, Hai Huang, Cheng Yang, Chuan Shi |
| 2025 | RecSys | SGCL: Unifying Self-Supervised and Supervised Learning for Graph Recommendation. | Weizhi Zhang, Liangwei Yang, Zihe Song, Henry Peng Zou, Ke Xu, Yuanjie Zhu, Philip S. Yu |
| 2025 | WWW | Graph-Sequential Alignment and Uniformity: Toward Enhanced Recommendation Systems. | Yuwei Cao, Liangwei Yang, Zhiwei Liu, Yuqing Liu, Chen Wang, Yueqing Liang, Hao Peng, Philip S. Yu |
| 2025 | WWW | Training Large Recommendation Models via Graph-Language Tokens Alignment. | Mingdai Yang, Zhiwei Liu, Liangwei Yang, Xiaolong Liu, Chen Wang, Hao Peng, Philip S. Yu |
| 2024 | CIKM | Do We Really Need Graph Convolution During Training? Light Post-Training Graph-ODE for Efficient Recommendation. | Weizhi Zhang, Liangwei Yang, Zihe Song, Henry Peng Zou, Ke Xu, Liancheng Fang, Philip S. Yu |
| 2024 | CIKM | Collaborative Alignment for Recommendation. | Chen Wang, Liangwei Yang, Zhiwei Liu, Xiaolong Liu, Mingdai Yang, Yueqing Liang, Philip S. Yu |
| 2024 | KDD | Pre-Training with Transferable Attention for Addressing Market Shifts in Cross-Market Sequential Recommendation. | Chen Wang, Ziwei Fan, Liangwei Yang, Mingdai Yang, Xiaolong Liu, Zhiwei Liu, Philip S. Yu |
| 2024 | PAKDD | Conditional Denoising Diffusion for Sequential Recommendation. | Yu Wang, Zhiwei Liu, Liangwei Yang, Philip S. Yu |
| 2024 | SIGIR | Instruction-based Hypergraph Pretraining. | Mingdai Yang, Zhiwei Liu, Liangwei Yang, Xiaolong Liu, Chen Wang, Hao Peng, Philip S. Yu |
| 2024 | WSDM | Knowledge Graph Context-Enhanced Diversified Recommendation. | Xiaolong Liu, Liangwei Yang, Zhiwei Liu, Mingdai Yang, Chen Wang, Hao Peng, Philip S. Yu |
| 2024 | WSDM | Unified Pretraining for Recommendation via Task Hypergraphs. | Mingdai Yang, Zhiwei Liu, Liangwei Yang, Xiaolong Liu, Chen Wang, Hao Peng, Philip S. Yu |
| 2023 | CIKM | 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 |
| 2023 | CIKM | Graph-based Alignment and Uniformity for Recommendation. | Liangwei Yang, Zhiwei Liu, Chen Wang, Mingdai Yang, Xiaolong Liu, Jing Ma, Philip S. Yu |
| 2023 | CIKM | 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 |
| 2023 | RecSys | 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 |
| 2023 | WWW | Graph-based Village Level Poverty Identification. | Jing Ma, Liangwei Yang, Qiong Feng, Weizhi Zhang, Philip S. Yu |
| 2023 | WSDM | 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 |
| 2023 | WSDM | 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 |
| 2022 | CIKM | ContrastVAE: Contrastive Variational AutoEncoder for Sequential Recommendation. | Yu Wang, Hengrui Zhang, Zhiwei Liu, Liangwei Yang, Philip S. Yu |
| 2022 | WWW | 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 |
| 2021 | SIGIR | ConsisRec: Enhancing GNN for Social Recommendation via Consistent Neighbor Aggregation. | Liangwei Yang, Zhiwei Liu, Yingtong Dou, Jing Ma, Philip S. Yu |