Learning Topic Hierarchies for Wikipedia Categories. - Linmei Hu; Xuzhong Wang; Mengdi Zhang 002; Juan-Zi Li; Xiaoli Li 001; Chao Shao; Jie Tang 001; Yongbin Liu (ACL (2), 2015)

CNME: A System for Chinese News Meta-Data Extraction. - Jun-Bo Xia; Fei Xie; Mengdi Zhang 002; Yu Su; Huan-Bo Luan (JIST, 2015)

Target Detection and Knowledge Learning for Domain Restricted Question Answering. - Mengdi Zhang 002; Tao Huang; Yixin Cao 002; Lei Hou 001 (NLPCC, 2015)

Knowledge-aware Graph Neural Networks with Label Smoothness Regularization for Recommender Systems. - Hongwei Wang 004; Fuzheng Zhang; Mengdi Zhang 002; Jure Leskovec; Miao Zhao; Wenjie Li 002; Zhongyuan Wang 006 (KDD, 2019)

Knowledge Graph Convolutional Networks for Recommender Systems with Label Smoothness Regularization. - Hongwei Wang 004; Fuzheng Zhang; Mengdi Zhang 002; Jure Leskovec; Miao Zhao; Wenjie Li 002; Zhongyuan Wang 006 (CoRR, 2019)

STGCN: A Spatial-Temporal Aware Graph Learning Method for POI Recommendation. - Haoyu Han; Mengdi Zhang 002; Min Hou; Fuzheng Zhang; Zhongyuan Wang 006; Enhong Chen; Hongwei Wang 004; Jianhui Ma; Qi Liu 003 (ICDM, 2020)

Learning the Implicit Semantic Representation on Graph-Structured Data. - Likang Wu; Zhi Li 057; Hongke Zhao; Qi Liu 003; Jun Wang 120; Mengdi Zhang 002; Enhong Chen (DASFAA (1), 2021)

Incorporating Dynamic Semantics into Pre-Trained Language Model for Aspect-based Sentiment Analysis. - Kai Zhang 038; Kun Zhang 015; Mengdi Zhang 002; Hongke Zhao; Qi Liu 003; Wei Wu 014; Enhong Chen (ACL (Findings), 2022)

Knowledge Enhanced Multi-Interest Network for the Generation of Recommendation Candidates. - Danyang Liu; Yuji Yang; Mengdi Zhang 002; Wei Wu 014; Xing Xie 001; Guangzhong Sun (CIKM, 2022)

Ensemble Multi-Relational Graph Neural Networks. - Yuling Wang; Hao Xu; Yanhua Yu; Mengdi Zhang 002; Zhenhao Li; Yuji Yang; Wei Wu 014 (IJCAI, 2022)

Mask and Reason: Pre-Training Knowledge Graph Transformers for Complex Logical Queries. - Xiao Liu 036; Shiyu Zhao; Kai Su; Yukuo Cen; Jiezhong Qiu; Mengdi Zhang 002; Wei Wu 014; Yuxiao Dong; Jie Tang 001 (KDD, 2022)

Graph Adaptive Semantic Transfer for Cross-domain Sentiment Classification. - Kai Zhang 038; Qi Liu 003; Zhenya Huang; Mingyue Cheng; Kun Zhang 015; Mengdi Zhang 002; Wei Wu 014; Enhong Chen (SIGIR, 2022)

Long Short-Term Preference Modeling for Continuous-Time Sequential Recommendation. - Huixuan Chi; Hao Xu; Hao Fu; Mengya Liu; Mengdi Zhang 002; Yuji Yang; Qinfen Hao; Wei Wu 014 (CoRR, 2022)

DPGN: Denoising Periodic Graph Network for Life Service Recommendation. - Hao Xu; Huixuan Chi; Danyang Liu; Sheng Zhou 004; Mengdi Zhang 002 (CIKM, 2023)

GUESR: A Global Unsupervised Data-Enhancement with Bucket-Cluster Sampling for Sequential Recommendation. - Yongqiang Han; Likang Wu; Hao Wang 076; Guifeng Wang; Mengdi Zhang 002; Zhi Li 057; Defu Lian; Enhong Chen (DASFAA (2), 2023)

Intent-aware Recommendation via Disentangled Graph Contrastive Learning. - Yuling Wang; Xiao Wang; Xiangzhou Huang; Yanhua Yu; Haoyang Li; Mengdi Zhang 002; Zirui Guo; Wei Wu 014 (IJCAI, 2023)

KMF: Knowledge-Aware Multi-Faceted Representation Learning for Zero-Shot Node Classification. - Likang Wu; Junji Jiang; Hongke Zhao; Hao Wang 076; Defu Lian; Mengdi Zhang 002; Enhong Chen (IJCAI, 2023)

M2GNN: Metapath and Multi-interest Aggregated Graph Neural Network for Tag-based Cross-domain Recommendation. - Zepeng Huai; Yuji Yang; Mengdi Zhang 002; Zhongyi Zhang; Yichun Li; Wei Wu 014 (SIGIR, 2023)

Modeling Spatiotemporal Periodicity and Collaborative Signal for Local-Life Service Recommendation. - Huixuan Chi; Hao Xu; Mengya Liu; Yuanchen Bei; Sheng Zhou 004; Danyang Liu; Mengdi Zhang 002 (CoRR, 2023)

DolphCoder: Echo-Locating Code Large Language Models with Diverse and Multi-Objective Instruction Tuning. - Yejie Wang; Keqing He 001; Guanting Dong; Pei Wang; Weihao Zeng; Muxi Diao; Weiran Xu; Jingang Wang; Mengdi Zhang 002; Xunliang Cai (ACL (1), 2024)

How Do Your Code LLMs perform? Empowering Code Instruction Tuning with Really Good Data. - Yejie Wang; Keqing He 001; Dayuan Fu; Zhuoma Gongque; Heyang Xu; Yanxu Chen; Zhexu Wang; Yujia Fu; Guanting Dong; Muxi Diao; Jingang Wang; Mengdi Zhang 002; et al. (EMNLP, 2024)

CPDG: A Contrastive Pre-Training Method for Dynamic Graph Neural Networks. - Yuanchen Bei; Hao Xu; Sheng Zhou 004; Huixuan Chi; Haishuai Wang; Mengdi Zhang 002; Zhao Li 007; Jiajun Bu (ICDE, 2024)

CAMLO: Cross-Attentive Multi-View Network for Long-Term Origin-Destination Flow Prediction. - Liang Wang 001; Hao Fu; Shu Wu; Qiang Liu 006; Xuelei Tan; Fangsheng Huang; Mengdi Zhang 002; Wei Wu 014 (SDM, 2024)

DolphCoder: Echo-Locating Code Large Language Models with Diverse and Multi-Objective Instruction Tuning. - Yejie Wang; Keqing He 001; Guanting Dong; Pei Wang; Weihao Zeng; Muxi Diao; Yutao Mou; Mengdi Zhang 002; Jingang Wang; Xunliang Cai; Weiran Xu (CoRR, 2024)

How Do Your Code LLMs Perform? Empowering Code Instruction Tuning with High-Quality Data. - Yejie Wang; Keqing He 001; Dayuan Fu; Zhuoma Gongque; Heyang Xu; Yanxu Chen; Zhexu Wang; Yujia Fu; Guanting Dong; Muxi Diao; Jingang Wang; Mengdi Zhang 002; et al. (CoRR, 2024)

Bi-Level Graph Structure Learning for Next POI Recommendation. - Liang Wang 056; Shu Wu; Qiang Liu 006; Yanqiao Zhu 001; Xiang Tao; Mengdi Zhang 002; Liang Wang 001 (IEEE Trans. Knowl. Data Eng., 2024)

FRABench and GenEval: Scaling Fine-Grained Aspect Evaluation across Tasks, Modalities. - Shibo Hong; Jiahao Ying; Haiyuan Liang; Mengdi Zhang 002; Jun Kuang; Jiazheng Zhang; Yixin Cao 002 (CoRR, 2025)