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ORCIDMengdi Zhang 0002
Person information
- affiliation: Meituan, Beijing, China
Other persons with the same name
- Mengdi Zhang — disambiguation page
- Mengdi Zhang 0001
![[0000-0001-6792-6244]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0001-6792-6244")
— Nanjing University of Posts and Telecommunications, School of Internet of Things, Nanjing, China (and 2 more) - Mengdi Zhang 0003 — Singapore Management University, School of Computing and Information System, Singapore
- Mengdi Zhang 0004 — China University of Mining and Technology, School of Information and Control Engineering, Xuzhou, China (and 1 more)
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2020 – today
- 2025
[i17]Shibo Hong, Jiahao Ying, Haiyuan Liang, Mengdi Zhang, Jun Kuang, Jiazheng Zhang, Yixin Cao:
FRABench and GenEval: Scaling Fine-Grained Aspect Evaluation across Tasks, Modalities. CoRR abs/2505.12795 (2025)- 2024
- [j1]Liang Wang, Shu Wu, Qiang Liu, Yanqiao Zhu, Xiang Tao, Mengdi Zhang, Liang Wang:
Bi-Level Graph Structure Learning for Next POI Recommendation. IEEE Trans. Knowl. Data Eng. 36(11): 5695-5708 (2024) - [c20]Yejie Wang, Keqing He, Guanting Dong, Pei Wang, Weihao Zeng, Muxi Diao, Weiran Xu, Jingang Wang, Mengdi Zhang, Xunliang Cai:
DolphCoder: Echo-Locating Code Large Language Models with Diverse and Multi-Objective Instruction Tuning. ACL (1) 2024: 4706-4721 - [c19]Yejie Wang, Keqing He, Dayuan Fu, Zhuoma Gongque, Heyang Xu, Yanxu Chen, Zhexu Wang, Yujia Fu, Guanting Dong, Muxi Diao, Jingang Wang, Mengdi Zhang, Xunliang Cai, Weiran Xu:
How Do Your Code LLMs perform? Empowering Code Instruction Tuning with Really Good Data. EMNLP 2024: 14027-14043 - [c18]Yuanchen Bei, Hao Xu, Sheng Zhou, Huixuan Chi, Haishuai Wang, Mengdi Zhang, Zhao Li, Jiajun Bu:
CPDG: A Contrastive Pre-Training Method for Dynamic Graph Neural Networks. ICDE 2024: 1199-1212 - [c17]Liang Wang, Hao Fu, Shu Wu, Qiang Liu, Xuelei Tan, Fangsheng Huang, Mengdi Zhang, Wei Wu:
CAMLO: Cross-Attentive Multi-View Network for Long-Term Origin-Destination Flow Prediction. SDM 2024: 454-462 - [i16]Yejie Wang, Keqing He, Guanting Dong, Pei Wang, Weihao Zeng, Muxi Diao, Yutao Mou, Mengdi Zhang, Jingang Wang, Xunliang Cai, Weiran Xu:
DolphCoder: Echo-Locating Code Large Language Models with Diverse and Multi-Objective Instruction Tuning. CoRR abs/2402.09136 (2024) - [i15]Yuling Wang, Xiao Wang, Xiangzhou Huang, Yanhua Yu, Haoyang Li, Mengdi Zhang, Zirui Guo, Wei Wu:
Intent-aware Recommendation via Disentangled Graph Contrastive Learning. CoRR abs/2403.03714 (2024) - [i14]Yejie Wang, Keqing He, Dayuan Fu, Zhuoma Gongque, Heyang Xu, Yanxu Chen, Zhexu Wang, Yujia Fu, Guanting Dong, Muxi Diao, Jingang Wang, Mengdi Zhang, Xunliang Cai, Weiran Xu:
How Do Your Code LLMs Perform? Empowering Code Instruction Tuning with High-Quality Data. CoRR abs/2409.03810 (2024) - [i13]Liang Wang, Shu Wu, Qiang Liu, Yanqiao Zhu, Xiang Tao, Mengdi Zhang, Liang Wang:
Bi-Level Graph Structure Learning for Next POI Recommendation. CoRR abs/2411.01169 (2024) - 2023
- [c16]Hao Xu, Huixuan Chi, Danyang Liu, Sheng Zhou, Mengdi Zhang:
DPGN: Denoising Periodic Graph Network for Life Service Recommendation. CIKM 2023: 2846-2855 - [c15]Yongqiang Han, Likang Wu, Hao Wang, Guifeng Wang, Mengdi Zhang, Zhi Li, Defu Lian, Enhong Chen:
GUESR: A Global Unsupervised Data-Enhancement with Bucket-Cluster Sampling for Sequential Recommendation. DASFAA (2) 2023: 286-296 - [c14]Yuling Wang, Xiao Wang, Xiangzhou Huang, Yanhua Yu, Haoyang Li, Mengdi Zhang, Zirui Guo, Wei Wu:
Intent-aware Recommendation via Disentangled Graph Contrastive Learning. IJCAI 2023: 2343-2351 - [c13]Likang Wu, Junji Jiang, Hongke Zhao, Hao Wang, Defu Lian, Mengdi Zhang, Enhong Chen:
KMF: Knowledge-Aware Multi-Faceted Representation Learning for Zero-Shot Node Classification. IJCAI 2023: 2361-2369 - [c12]Zepeng Huai, Yuji Yang, Mengdi Zhang, Zhongyi Zhang, Yichun Li, Wei Wu:
M2GNN: Metapath and Multi-interest Aggregated Graph Neural Network for Tag-based Cross-domain Recommendation. SIGIR 2023: 1468-1477 - [i12]Yongqiang Han, Likang Wu, Hao Wang, Guifeng Wang, Mengdi Zhang, Zhi Li, Defu Lian, Enhong Chen:
GUESR: A Global Unsupervised Data-Enhancement with Bucket-Cluster Sampling for Sequential Recommendation. CoRR abs/2303.00243 (2023) - [i11]Zepeng Huai, Yuji Yang, Mengdi Zhang, Zhongyi Zhang, Yichun Li, Wei Wu:
M2GNN: Metapath and Multi-interest Aggregated Graph Neural Network for Tag-based Cross-domain Recommendation. CoRR abs/2304.07911 (2023) - [i10]Yuanchen Bei, Hao Xu, Sheng Zhou, Huixuan Chi, Haishuai Wang, Mengdi Zhang, Zhao Li, Jiajun Bu:
CPDG: A Contrastive Pre-Training Method for Dynamic Graph Neural Networks. CoRR abs/2307.02813 (2023) - [i9]Likang Wu, Junji Jiang, Hongke Zhao, Hao Wang, Defu Lian, Mengdi Zhang, Enhong Chen:
KMF: Knowledge-Aware Multi-Faceted Representation Learning for Zero-Shot Node Classification. CoRR abs/2308.08563 (2023) - [i8]Huixuan Chi, Hao Xu, Mengya Liu, Yuanchen Bei, Sheng Zhou, Danyang Liu, Mengdi Zhang:
Modeling Spatiotemporal Periodicity and Collaborative Signal for Local-Life Service Recommendation. CoRR abs/2309.12565 (2023) - 2022
- [c11]Kai Zhang, Kun Zhang, Mengdi Zhang, Hongke Zhao, Qi Liu, Wei Wu, Enhong Chen:
Incorporating Dynamic Semantics into Pre-Trained Language Model for Aspect-based Sentiment Analysis. ACL (Findings) 2022: 3599-3610 - [c10]Danyang Liu, Yuji Yang, Mengdi Zhang, Wei Wu, Xing Xie, Guangzhong Sun:
Knowledge Enhanced Multi-Interest Network for the Generation of Recommendation Candidates. CIKM 2022: 3322-3331 - [c9]Yuling Wang, Hao Xu, Yanhua Yu, Mengdi Zhang, Zhenhao Li, Yuji Yang, Wei Wu:
Ensemble Multi-Relational Graph Neural Networks. IJCAI 2022: 2298-2304 - [c8]Xiao Liu, Shiyu Zhao, Kai Su, Yukuo Cen, Jiezhong Qiu, Mengdi Zhang, Wei Wu, Yuxiao Dong, Jie Tang:
Mask and Reason: Pre-Training Knowledge Graph Transformers for Complex Logical Queries. KDD 2022: 1120-1130 - [c7]Kai Zhang, Qi Liu, Zhenya Huang, Mingyue Cheng, Kun Zhang, Mengdi Zhang, Wei Wu, Enhong Chen:
Graph Adaptive Semantic Transfer for Cross-domain Sentiment Classification. SIGIR 2022: 1566-1576 - [i7]Kai Zhang, Kun Zhang, Mengdi Zhang, Hongke Zhao, Qi Liu, Wei Wu, Enhong Chen:
Incorporating Dynamic Semantics into Pre-Trained Language Model for Aspect-based Sentiment Analysis. CoRR abs/2203.16369 (2022) - [i6]Kai Zhang, Qi Liu, Zhenya Huang, Mingyue Cheng, Kun Zhang, Mengdi Zhang, Wei Wu, Enhong Chen:
Graph Adaptive Semantic Transfer for Cross-domain Sentiment Classification. CoRR abs/2205.08772 (2022) - [i5]Yuling Wang, Hao Xu, Yanhua Yu, Mengdi Zhang, Zhenhao Li, Yuji Yang, Wei Wu:
Ensemble Multi-Relational Graph Neural Networks. CoRR abs/2205.12076 (2022) - [i4]Huixuan Chi, Hao Xu, Hao Fu, Mengya Liu, Mengdi Zhang, Yuji Yang, Qinfen Hao, Wei Wu:
Long Short-Term Preference Modeling for Continuous-Time Sequential Recommendation. CoRR abs/2208.00593 (2022) - [i3]Xiao Liu, Shiyu Zhao, Kai Su, Yukuo Cen, Jiezhong Qiu, Mengdi Zhang, Wei Wu, Yuxiao Dong, Jie Tang:
Mask and Reason: Pre-Training Knowledge Graph Transformers for Complex Logical Queries. CoRR abs/2208.07638 (2022) - 2021
- [c6]Likang Wu, Zhi Li, Hongke Zhao, Qi Liu, Jun Wang, Mengdi Zhang, Enhong Chen:
Learning the Implicit Semantic Representation on Graph-Structured Data. DASFAA (1) 2021: 3-19 - [i2]Likang Wu, Zhi Li, Hongke Zhao, Qi Liu, Jun Wang, Mengdi Zhang, Enhong Chen:
Learning the Implicit Semantic Representation on Graph-Structured Data. CoRR abs/2101.06471 (2021) - 2020
- [c5]Haoyu Han, Mengdi Zhang, Min Hou, Fuzheng Zhang, Zhongyuan Wang, Enhong Chen, Hongwei Wang, Jianhui Ma, Qi Liu:
STGCN: A Spatial-Temporal Aware Graph Learning Method for POI Recommendation. ICDM 2020: 1052-1057
2010 – 2019
- 2019
- [c4]Hongwei Wang, Fuzheng Zhang, Mengdi Zhang, Jure Leskovec, Miao Zhao, Wenjie Li, Zhongyuan Wang:
Knowledge-aware Graph Neural Networks with Label Smoothness Regularization for Recommender Systems. KDD 2019: 968-977 - [i1]Hongwei Wang, Fuzheng Zhang, Mengdi Zhang, Jure Leskovec, Miao Zhao, Wenjie Li, Zhongyuan Wang:
Knowledge Graph Convolutional Networks for Recommender Systems with Label Smoothness Regularization. CoRR abs/1905.04413 (2019) - 2015
- [c3]Linmei Hu, Xuzhong Wang, Mengdi Zhang, Juan-Zi Li, Xiaoli Li, Chao Shao, Jie Tang, Yongbin Liu:
Learning Topic Hierarchies for Wikipedia Categories. ACL (2) 2015: 346-351 - [c2]Jun-Bo Xia, Fei Xie, Mengdi Zhang, Yu Su, Huan-Bo Luan:
CNME: A System for Chinese News Meta-Data Extraction. JIST 2015: 91-107 - [c1]Mengdi Zhang, Tao Huang, Yixin Cao, Lei Hou:
Target Detection and Knowledge Learning for Domain Restricted Question Answering. NLPCC 2015: 325-336
Coauthor Index
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