Wei Wei - RankMe

32 papers A* 6A 6Journal 19Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Comprehensive Survey on Self-Supervised Learning for Recommendation. ACM Comput. Surv. Xubin Ren, Wei Wei, Lianghao Xia, Chao Huang
2025	J	`jnl`	Peer-to-Peer Multi-Energy Trading Among Heterogeneous Building Prosumers via Asynchronous Distributed Algorithm. IEEE Trans. Smart Grid Xiaolong Jin, Xiaoyu Wang, Hongjie Jia, Yunfei Mu, Qiuwei Wu, Wei Wei
2024	J	`jnl`	A Comprehensive Survey on Self-Supervised Learning for Recommendation. CoRR Xubin Ren, Wei Wei, Lianghao Xia, Chao Huang
2024	A*	`conf`	DiffMM: Multi-Modal Diffusion Model for Recommendation. ACM Multimedia Yangqin Jiang, Lianghao Xia, Wei Wei, Da Luo, Kangyi Lin, Chao Huang
2024	J	`jnl`	DiffMM: Multi-Modal Diffusion Model for Recommendation. CoRR Yangqin Jiang, Lianghao Xia, Wei Wei, Da Luo, Kangyi Lin, Chao Huang
2024	A	`conf`	EasyST: A Simple Framework for Spatio-Temporal Prediction. CIKM Jiabin Tang, Wei Wei, Lianghao Xia, Chao Huang
2024	J	`jnl`	EasyST: A Simple Framework for Spatio-Temporal Prediction. CoRR Jiabin Tang, Wei Wei, Lianghao Xia, Chao Huang
2024	J	`jnl`	GraphEdit: Large Language Models for Graph Structure Learning. CoRR Zirui Guo, Lianghao Xia, Yanhua Yu, Yuling Wang, Zixuan Yang, Wei Wei, Liang Pang, Tat-Seng Chua, Chao Huang
2024	A*	`conf`	GraphGPT: Graph Instruction Tuning for Large Language Models. SIGIR Jiabin Tang, Yuhao Yang, Wei Wei, Lei Shi, Lixin Su, Suqi Cheng, Dawei Yin, Chao Huang
2024	A*	`conf`	HiGPT: Heterogeneous Graph Language Model. KDD Jiabin Tang, Yuhao Yang, Wei Wei, Lei Shi, Long Xia, Dawei Yin, Chao Huang
2024	J	`jnl`	HiGPT: Heterogeneous Graph Language Model. CoRR Jiabin Tang, Yuhao Yang, Wei Wei, Lei Shi, Long Xia, Dawei Yin, Chao Huang
2024	A	`conf`	LLMRec: Large Language Models with Graph Augmentation for Recommendation. WSDM Wei Wei, Xubin Ren, Jiabin Tang, Qinyong Wang, Lixin Su, Suqi Cheng, Junfeng Wang, Dawei Yin, Chao Huang
2024	A*	`conf`	PromptMM: Multi-Modal Knowledge Distillation for Recommendation with Prompt-Tuning. WWW Wei Wei, Jiabin Tang, Lianghao Xia, Yangqin Jiang, Chao Huang
2024	J	`jnl`	PromptMM: Multi-Modal Knowledge Distillation for Recommendation with Prompt-Tuning. CoRR Wei Wei, Jiabin Tang, Yangqin Jiang, Lianghao Xia, Chao Huang
2024	A*	`conf`	Representation Learning with Large Language Models for Recommendation. WWW Xubin Ren, Wei Wei, Lianghao Xia, Lixin Su, Suqi Cheng, Junfeng Wang, Dawei Yin, Chao Huang
2024	A	`conf`	SSLRec: A Self-Supervised Learning Framework for Recommendation. WSDM Xubin Ren, Lianghao Xia, Yuhao Yang, Wei Wei, Tianle Wang, Xuheng Cai, Chao Huang
2023	J	`jnl`	GraphGPT: Graph Instruction Tuning for Large Language Models. CoRR Jiabin Tang, Yuhao Yang, Wei Wei, Lei Shi, Lixin Su, Suqi Cheng, Dawei Yin, Chao Huang
2023	A	`conf`	Heterogeneous Graph Contrastive Learning for Recommendation. WSDM Mengru Chen, Chao Huang, Lianghao Xia, Wei Wei, Yong Xu, Ronghua Luo
2023	J	`jnl`	Heterogeneous Graph Contrastive Learning for Recommendation. CoRR Mengru Chen, Chao Huang, Lianghao Xia, Wei Wei, Yong Xu, Ronghua Luo
2023	J	`jnl`	LLMRec: Large Language Models with Graph Augmentation for Recommendation. CoRR Wei Wei, Xubin Ren, Jiabin Tang, Qinyong Wang, Lixin Su, Suqi Cheng, Junfeng Wang, Dawei Yin, Chao Huang
2023	A*	`conf`	Multi-Modal Self-Supervised Learning for Recommendation. WWW Wei Wei, Chao Huang, Lianghao Xia, Chuxu Zhang
2023	J	`jnl`	Multi-Modal Self-Supervised Learning for Recommendation. CoRR Wei Wei, Chao Huang, Lianghao Xia, Chuxu Zhang
2023	A	`conf`	Multi-Relational Contrastive Learning for Recommendation. RecSys Wei Wei, Lianghao Xia, Chao Huang
2023	J	`jnl`	Multi-Relational Contrastive Learning for Recommendation. CoRR Wei Wei, Lianghao Xia, Chao Huang
2023	J	`jnl`	Reliability Assessment of Hybrid AC/DC Distribution Systems Using Independent Contingency States Reduction Technique. IEEE Trans. Smart Grid Wei Wei, Yuan Cao, Kai Hou
2023	J	`jnl`	Representation Learning with Large Language Models for Recommendation. CoRR Xubin Ren, Wei Wei, Lianghao Xia, Lixin Su, Suqi Cheng, Junfeng Wang, Dawei Yin, Chao Huang
2023	J	`jnl`	SSLRec: A Self-Supervised Learning Library for Recommendation. CoRR Xubin Ren, Lianghao Xia, Yuhao Yang, Wei Wei, Tianle Wang, Xuheng Cai, Chao Huang
2022	A	`conf`	Contrastive Meta Learning with Behavior Multiplicity for Recommendation. WSDM Wei Wei, Chao Huang, Lianghao Xia, Yong Xu, Jiashu Zhao, Dawei Yin
2022	J	`jnl`	Contrastive Meta Learning with Behavior Multiplicity for Recommendation. CoRR Wei Wei, Chao Huang, Lianghao Xia, Yong Xu, Jiashu Zhao, Dawei Yin
2022	J	`jnl`	Optimal configuration of cooperative stationary and mobile energy storage considering ambient temperature: A case for Winter Olympic Game. CoRR He Meng, Hongjie Jia, Tao Xu, Wei Wei, Yuhan Wu, Lemeng Liang, Shuqi Cai, Zuozheng Liu, Rujing Wang
2019	J	`jnl`	Reliability Assessment for AC/DC Hybrid Distribution Network With High Penetration of Renewable Energy. IEEE Access Wei Wei, Yitong Zhou, Jie Zhu, Kai Hou, He Zhao, Zijin Li, Tao Xu
2017	—	`conf`	Active distribution network sustainability assessment: A system dynamic approach. ISGT Wei Wei, Han Gao, Tao Xu, Ruikai Xu, Jie Zhu, He Zhao, Zijin Li, Lingxu Guo, Lei Shi, Xiaolei Zhai