Approximation Algorithm for Shortest Path in Large Social Networks. - Dennis Nii Ayeh Mensah; Hui Gao; Liang Wei Yang (Algorithms, 2020)

Influential Nodes Identification in Complex Networks via Information Entropy. - Chungu Guo; Liangwei Yang; Xiao Chen; Duanbing Chen; Hui Gao; Jing Ma 004 (Entropy, 2020)

ConsisRec: Enhancing GNN for Social Recommendation via Consistent Neighbor Aggregation. - Liangwei Yang; Zhiwei Liu 001; Yingtong Dou; Jing Ma 004; Philip S. Yu (SIGIR, 2021)

MetaKRec: Collaborative Meta-Knowledge Enhanced Recommender System. - Shen Wang 005; Liangwei Yang; Jibing Gong; Shaojie Zheng; Shuying Du; Zhiwei Liu 001; Philip S. Yu (IEEE Big Data, 2022)

ContrastVAE: Contrastive Variational AutoEncoder for Sequential Recommendation. - Yu Wang 158; Hengrui Zhang; Zhiwei Liu 001; Liangwei Yang; Philip S. Yu (CIKM, 2022)

Large-scale Personalized Video Game Recommendation via Social-aware Contextualized Graph Neural Network. - Liangwei Yang; Zhiwei Liu 001; Yu Wang 158; Chen Wang 052; Ziwei Fan 001; Philip S. Yu (WWW, 2022)

Large-scale Personalized Video Game Recommendation via Social-aware Contextualized Graph Neural Network. - Liangwei Yang; Zhiwei Liu 001; Yu Wang 158; Chen Wang 018; Ziwei Fan 001; Philip S. Yu (CoRR, 2022)

Federated Social Recommendation with Graph Neural Network. - Zhiwei Liu 001; Liangwei Yang; Ziwei Fan 001; Hao Peng 001; Philip S. Yu (ACM Trans. Intell. Syst. Technol., 2022)

Group-Aware Interest Disentangled Dual-Training for Personalized Recommendation. - Xiaolong Liu; Liangwei Yang; Zhiwei Liu 001; Xiaohan Li 001; Mingdai Yang; Chen Wang 052; Philip S. Yu (IEEE Big Data, 2023)

Multi-View Graph Convolution for Participant Recommendation. - Xiaolong Liu; Liangwei Yang; Chen Wang 052; Mingdai Yang; Zhiwei Liu 001; Philip S. Yu (IEEE Big Data, 2023)

Dual-Teacher Knowledge Distillation for Strict Cold-Start Recommendation. - Weizhi Zhang 001; Liangwei Yang; Yuwei Cao; Ke Xu; Yuanjie Zhu; Philip S. Yu (IEEE Big Data, 2023)

Dimension Independent Mixup for Hard Negative Sample in Collaborative Filtering. - Xi Wu 009; Liangwei Yang; Jibing Gong; Chao Zhou; Tianyu Lin; Xiaolong Liu; Philip S. Yu (CIKM, 2023)

Graph-based Alignment and Uniformity for Recommendation. - Liangwei Yang; Zhiwei Liu 001; Chen Wang 052; Mingdai Yang; Xiaolong Liu; Jing Ma 004; Philip S. Yu (CIKM, 2023)

Group Identification via Transitional Hypergraph Convolution with Cross-view Self-supervised Learning. - Mingdai Yang; Zhiwei Liu 001; Liangwei Yang; Xiaolong Liu; Chen Wang 052; Hao Peng 001; Philip S. Yu (CIKM, 2023)

Multi-task Item-attribute Graph Pre-training for Strict Cold-start Item Recommendation. - Yuwei Cao; Liangwei Yang; Chen Wang 052; Zhiwei Liu 001; Hao Peng 001; Chenyu You; Philip S. Yu (RecSys, 2023)

Ranking-based Group Identification via Factorized Attention on Social Tripartite Graph. - Mingdai Yang; Zhiwei Liu 001; Liangwei Yang; Xiaolong Liu; Chen Wang 052; Hao Peng 001; Philip S. Yu (WSDM, 2023)

DGRec: Graph Neural Network for Recommendation with Diversified Embedding Generation. - Liangwei Yang; Shengjie Wang 001; Yunzhe Tao; Jiankai Sun; Xiaolong Liu; Philip S. Yu; Taiqing Wang (WSDM, 2023)

Graph-based Village Level Poverty Identification. - Jing Ma 004; Liangwei Yang; Qiong Feng; Weizhi Zhang 001; Philip S. Yu (WWW, 2023)

Multi-task Item-attribute Graph Pre-training for Strict Cold-start Item Recommendation. - Yuwei Cao; Liangwei Yang; Chen Wang 018; Zhiwei Liu 001; Hao Peng 001; Chenyu You; Philip S. Yu (CoRR, 2023)

Collaborative Contextualization: Bridging the Gap between Collaborative Filtering and Pre-trained Language Model. - Chen Wang 052; Liangwei Yang; Zhiwei Liu 001; Xiaolong Liu; Mingdai Yang; Yueqing Liang; Philip S. Yu (CoRR, 2023)

Personalized Multi-task Training for Recommender System. - Liangwei Yang; Zhiwei Liu; Jianguo Zhang; Rithesh Murthy; Shelby Heinecke; Huan Wang 014; Caiming Xiong; Philip S. Yu (IEEE Big Data, 2024)

Do We Really Need Graph Convolution During Training? Light Post-Training Graph-ODE for Efficient Recommendation. - Weizhi Zhang 001; Liangwei Yang; Zihe Song 001; Henry Peng Zou; Ke Xu; Liancheng Fang; Philip S. Yu (CIKM, 2024)

Collaborative Alignment for Recommendation. - Chen Wang 052; Liangwei Yang; Zhiwei Liu 001; Xiaolong Liu; Mingdai Yang; Yueqing Liang; Philip S. Yu (CIKM, 2024)

Pre-Training with Transferable Attention for Addressing Market Shifts in Cross-Market Sequential Recommendation. - Chen Wang 052; Ziwei Fan 001; Liangwei Yang; Mingdai Yang; Xiaolong Liu; Zhiwei Liu 001; Philip S. Yu (KDD, 2024)

APIGen: Automated PIpeline for Generating Verifiable and Diverse Function-Calling Datasets. - Zuxin Liu; Thai Hoang; Jianguo Zhang; Ming Zhu; Tian Lan; Shirley Kokane; Juntao Tan; Weiran Yao; Zhiwei Liu 001; Yihao Feng; Rithesh R. N.; Liangwei Yang; et al. (NeurIPS, 2024)

Conditional Denoising Diffusion for Sequential Recommendation. - Yu Wang 158; Zhiwei Liu 001; Liangwei Yang; Philip S. Yu (PAKDD (5), 2024)

Instruction-based Hypergraph Pretraining. - Mingdai Yang; Zhiwei Liu 001; Liangwei Yang; Xiaolong Liu; Chen Wang 052; Hao Peng 001; Philip S. Yu (SIGIR, 2024)

Knowledge Graph Context-Enhanced Diversified Recommendation. - Xiaolong Liu; Liangwei Yang; Zhiwei Liu 001; Mingdai Yang; Chen Wang 052; Hao Peng 001; Philip S. Yu (WSDM, 2024)

Unified Pretraining for Recommendation via Task Hypergraphs. - Mingdai Yang; Zhiwei Liu 001; Liangwei Yang; Xiaolong Liu; Chen Wang 052; Hao Peng 001; Philip S. Yu (WSDM, 2024)

Cyclic Neural Network. - Liangwei Yang; Hengrui Zhang; Zihe Song 001; Jiawei Zhang 001; Weizhi Zhang 001; Jing Ma 004; Philip S. Yu (CoRR, 2024)

AgentOhana: Design Unified Data and Training Pipeline for Effective Agent Learning. - Jianguo Zhang 005; Tian Lan 006; Rithesh Murthy; Zhiwei Liu 001; Weiran Yao; Juntao Tan; Thai Hoang; Liangwei Yang; Yihao Feng; Zuxin Liu; Tulika Manoj Awalgaonkar; Juan Carlos Niebles; et al. (CoRR, 2024)

AgentLite: A Lightweight Library for Building and Advancing Task-Oriented LLM Agent System. - Zhiwei Liu 001; Weiran Yao; Jianguo Zhang 005; Liangwei Yang; Zuxin Liu; Juntao Tan; Prafulla Kumar Choubey; Tian Lan 006; Jason Wu; Huan Wang 014; Shelby Heinecke; Caiming Xiong; et al. (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)

Mixed Supervised Graph Contrastive Learning for Recommendation. - Weizhi Zhang 001; Liangwei Yang; Zihe Song 001; Henry Peng Zou; Ke Xu; Yuanjie Zhu; Philip S. Yu (CoRR, 2024)

MobileAIBench: Benchmarking LLMs and LMMs for On-Device Use Cases. - Rithesh Murthy; Liangwei Yang; Juntao Tan; Tulika Manoj Awalgaonkar; Yilun Zhou; Shelby Heinecke; Sachin Desai; Jason Wu; Ran Xu 001; Sarah Tan; Jianguo Zhang 005; Zhiwei Liu 001; et al. (CoRR, 2024)

APIGen: Automated Pipeline for Generating Verifiable and Diverse Function-Calling Datasets. - Zuxin Liu; Thai Hoang; Jianguo Zhang 005; Ming Zhu; Tian Lan 006; Shirley Kokane; Juntao Tan; Weiran Yao; Zhiwei Liu 001; Yihao Feng; Rithesh Murthy; Liangwei Yang; et al. (CoRR, 2024)

Personalized Multi-task Training for Recommender System. - Liangwei Yang; Zhiwei Liu 001; Jianguo Zhang 005; Rithesh Murthy; Shelby Heinecke; Huan Wang 016; Caiming Xiong; Philip S. Yu (CoRR, 2024)

PRACT: Optimizing Principled Reasoning and Acting of LLM Agent. - Zhiwei Liu 001; Weiran Yao; Jianguo Zhang 005; Rithesh Murthy; Liangwei Yang; Zuxin Liu; Tian Lan 006; Ming Zhu; Juntao Tan; Shirley Kokane; Thai Hoang; Juan Carlos Niebles; et al. (CoRR, 2024)

SpecTool: A Benchmark for Characterizing Errors in Tool-Use LLMs. - Shirley Kokane; Ming Zhu; Tulika Awalgaonkar; Jianguo Zhang; Thai Hoang; Akshara Prabhakar; Zuxin Liu; Tian Lan; Liangwei Yang; Juntao Tan; Rithesh Murthy; Weiran Yao; et al. (CoRR, 2024)

PersonaBench: Evaluating AI Models on Understanding Personal Information through Accessing (Synthetic) Private User Data. - Juntao Tan; Liangwei Yang; Zuxin Liu; Zhiwei Liu 001; Rithesh R. N.; Tulika Manoj Awalgaonkar; Jianguo Zhang; Weiran Yao; Ming Zhu; Shirley Kokane; Silvio Savarese; Huan Wang 016; et al. (ACL (Findings), 2025)

Taxonomy-Guided Zero-Shot Recommendations with LLMs. - Yueqing Liang; Liangwei Yang; Chen Wang 018; Xiongxiao Xu; Philip S. Yu; Kai Shu (COLING, 2025)

Graph-Sequential Alignment and Uniformity: Toward Enhanced Recommendation Systems. - Yuwei Cao; Liangwei Yang; Zhiwei Liu 001; Yuqing Liu 003; Chen Wang 052; Yueqing Liang; Hao Peng 001; Philip S. Yu (WWW (Companion Volume), 2025)

Training Large Recommendation Models via Graph-Language Tokens Alignment. - Mingdai Yang; Zhiwei Liu 001; Liangwei Yang; Xiaolong Liu; Chen Wang 052; Hao Peng 001; Philip S. Yu (WWW (Companion Volume), 2025)

Diversified recommendation with weighted hypergraph embedding: Case study in music. - Chaoguang Luo; Liuying Wen; Yong Qin; Philip S. Yu; Liangwei Yang; Zhineng Hu (Neurocomputing, 2025)

Cold-Start Recommendation towards the Era of Large Language Models (LLMs): A Comprehensive Survey and Roadmap. - Weizhi Zhang 001; Yuanchen Bei; Liangwei Yang; Henry Peng Zou; Peilin Zhou; Aiwei Liu; Yinghui Li; Hao Chen 062; Jianling Wang; Yu Wang 158; Feiran Huang; Sheng Zhou 004; et al. (CoRR, 2025)

Benchmarking LLMs for Political Science: A United Nations Perspective. - Yueqing Liang; Liangwei Yang; Chen Wang; Congying Xia; Rui Meng; Xiongxiao Xu; Haoran Wang 005; Ali Payani; Kai Shu (CoRR, 2025)

Training Large Recommendation Models via Graph-Language Token Alignment. - Mingdai Yang; Zhiwei Liu 001; Liangwei Yang; Xiaolong Liu; Chen Wang 018; Hao Peng 001; Philip S. Yu (CoRR, 2025)

PersonaBench: Evaluating AI Models on Understanding Personal Information through Accessing (Synthetic) Private User Data. - Juntao Tan; Liangwei Yang; Zuxin Liu; Zhiwei Liu 001; Rithesh Murthy; Tulika Manoj Awalgaonkar; Jianguo Zhang; Weiran Yao; Ming Zhu; Shirley Kokane; Silvio Savarese; Huan Wang 016; et al. (CoRR, 2025)

LLMInit: A Free Lunch from Large Language Models for Selective Initialization of Recommendation. - Weizhi Zhang 001; Liangwei Yang; Wooseong Yang; Henry Peng Zou; Yuqing Liu 003; Ke Xu; Sourav Medya; Philip S. Yu (CoRR, 2025)

RAU: Towards Regularized Alignment and Uniformity for Representation Learning in Recommendation. - Xi Wu 009; Dan Zhang; Chao Zhou; Liangwei Yang; Tianyu Lin; Jibing Gong (CoRR, 2025)

Entropy-Based Block Pruning for Efficient Large Language Models. - Liangwei Yang; Yuhui Xu; Juntao Tan; Doyen Sahoo; Silvio Savarese; Caiming Xiong; Huan Wang 014; Shelby Heinecke (CoRR, 2025)

Masked Language Models are Good Heterogeneous Graph Generalizers. - Jinyu Yang; Cheng Yang; Shanyuan Cui; Zeyuan Guo; Liangwei Yang; Muhan Zhang; Chuan Shi 001 (CoRR, 2025)

PersonaAgent: When Large Language Model Agents Meet Personalization at Test Time. - Weizhi Zhang 001; Xinyang Zhang 002; Chenwei Zhang; Liangwei Yang; Jingbo Shang; Zhepei Wei; Henry Peng Zou; Zijie Huang 002; Zhengyang Wang; Yifan Gao 001; Xiaoman Pan; Lian Xiong; et al. (CoRR, 2025)

From Web Search towards Agentic Deep Research: Incentivizing Search with Reasoning Agents. - Weizhi Zhang 001; Yangning Li; Yuanchen Bei; Junyu Luo 002; Guancheng Wan; Liangwei Yang; Chenxuan Xie; Yuyao Yang; Wei-Chieh Huang; Chunyu Miao; Henry Peng Zou; Xiao Luo 001; et al. (CoRR, 2025)

SGCL: Unifying Self-Supervised and Supervised Learning for Graph Recommendation. - Weizhi Zhang 001; Liangwei Yang; Zihe Song 001; Henry Peng Zou; Ke Xu; Yuanjie Zhu; Philip S. Yu (CoRR, 2025)

Promptomatix: An Automatic Prompt Optimization Framework for Large Language Models. - Rithesh Murthy; Ming Zhu; Liangwei Yang; Jielin Qiu; Juntao Tan; Shelby Heinecke; Caiming Xiong; Silvio Savarese; Huan Wang 016 (CoRR, 2025)