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Mengdi Zhang

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Intent-aware Recommendation via Disentangled Graph Contrastive Learning

Mar 06, 2024
Yuling Wang, Xiao Wang, Xiangzhou Huang, Yanhua Yu, Haoyang Li, Mengdi Zhang, Zirui Guo, Wei Wu

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

Feb 14, 2024
Yejie Wang, Keqing He, Guanting Dong, Pei Wang, Weihao Zeng, Muxi Diao, Yutao Mou, Mengdi Zhang, Jingang Wang, Xunliang Cai, Weiran Xu

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Modeling Spatiotemporal Periodicity and Collaborative Signal for Local-Life Service Recommendation

Sep 22, 2023
Huixuan Chi, Hao Xu, Mengya Liu, Yuanchen Bei, Sheng Zhou, Danyang Liu, Mengdi Zhang

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KMF: Knowledge-Aware Multi-Faceted Representation Learning for Zero-Shot Node Classification

Aug 15, 2023
Likang Wu, Junji Jiang, Hongke Zhao, Hao Wang, Defu Lian, Mengdi Zhang, Enhong Chen

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CPDG: A Contrastive Pre-Training Method for Dynamic Graph Neural Networks

Jul 24, 2023
Yuanchen Bei, Hao Xu, Sheng Zhou, Huixuan Chi, Haishuai Wang, Mengdi Zhang, Zhao Li, Jiajun Bu

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M2GNN: Metapath and Multi-interest Aggregated Graph Neural Network for Tag-based Cross-domain Recommendation

Apr 16, 2023
Zepeng Huai, Yuji Yang, Mengdi Zhang, Zhongyi Zhang, Yichun Li, Wei Wu

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GUESR: A Global Unsupervised Data-Enhancement with Bucket-Cluster Sampling for Sequential Recommendation

Mar 01, 2023
Yongqiang Han, Likang Wu, Hao Wang, Guifeng Wang, Mengdi Zhang, Zhi Li, Defu Lian, Enhong Chen

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Adaptive Fairness Improvement Based on Causality Analysis

Sep 15, 2022
Mengdi Zhang, Jun Sun

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TESTSGD: Interpretable Testing of Neural Networks Against Subtle Group Discrimination

Aug 24, 2022
Mengdi Zhang, Jun Sun, Jingyi Wang, Bing Sun

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