Mengdi Zhang

Orcid: 0000-0002-7841-1171

Affiliations:
  • Meituan, Beijing, China


According to our database1, Mengdi Zhang authored at least 27 papers between 2015 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2025
FRABench and GenEval: Scaling Fine-Grained Aspect Evaluation across Tasks, Modalities.
CoRR, May, 2025

2024
Bi-Level Graph Structure Learning for Next POI Recommendation.
IEEE Trans. Knowl. Data Eng., November, 2024

How Do Your Code LLMs Perform? Empowering Code Instruction Tuning with High-Quality Data.
CoRR, 2024

DolphCoder: Echo-Locating Code Large Language Models with Diverse and Multi-Objective Instruction Tuning.
CoRR, 2024

CAMLO: Cross-Attentive Multi-View Network for Long-Term Origin-Destination Flow Prediction.
Proceedings of the 2024 SIAM International Conference on Data Mining, 2024

CPDG: A Contrastive Pre-Training Method for Dynamic Graph Neural Networks.
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

How Do Your Code LLMs perform? Empowering Code Instruction Tuning with Really Good Data.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

DolphCoder: Echo-Locating Code Large Language Models with Diverse and Multi-Objective Instruction Tuning.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023
Modeling Spatiotemporal Periodicity and Collaborative Signal for Local-Life Service Recommendation.
CoRR, 2023

M2GNN: Metapath and Multi-interest Aggregated Graph Neural Network for Tag-based Cross-domain Recommendation.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

KMF: Knowledge-Aware Multi-Faceted Representation Learning for Zero-Shot Node Classification.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Intent-aware Recommendation via Disentangled Graph Contrastive Learning.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

GUESR: A Global Unsupervised Data-Enhancement with Bucket-Cluster Sampling for Sequential Recommendation.
Proceedings of the Database Systems for Advanced Applications, 2023

DPGN: Denoising Periodic Graph Network for Life Service Recommendation.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022
Long Short-Term Preference Modeling for Continuous-Time Sequential Recommendation.
CoRR, 2022

Graph Adaptive Semantic Transfer for Cross-domain Sentiment Classification.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Mask and Reason: Pre-Training Knowledge Graph Transformers for Complex Logical Queries.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Ensemble Multi-Relational Graph Neural Networks.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Knowledge Enhanced Multi-Interest Network for the Generation of Recommendation Candidates.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Incorporating Dynamic Semantics into Pre-Trained Language Model for Aspect-based Sentiment Analysis.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

2021
Learning the Implicit Semantic Representation on Graph-Structured Data.
Proceedings of the Database Systems for Advanced Applications, 2021

2020
STGCN: A Spatial-Temporal Aware Graph Learning Method for POI Recommendation.
Proceedings of the 20th IEEE International Conference on Data Mining, 2020

2019
Knowledge Graph Convolutional Networks for Recommender Systems with Label Smoothness Regularization.
CoRR, 2019

Knowledge-aware Graph Neural Networks with Label Smoothness Regularization for Recommender Systems.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

2015
Target Detection and Knowledge Learning for Domain Restricted Question Answering.
Proceedings of the Natural Language Processing and Chinese Computing - 4th CCF Conference, 2015

CNME: A System for Chinese News Meta-Data Extraction.
Proceedings of the Semantic Technology - 5th Joint International Conference, 2015

Learning Topic Hierarchies for Wikipedia Categories.
Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, 2015


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