Mengdi Zhang - RankMe

46 papers A* 11A 3Journal 25Unranked 7

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	BNPO: Beta Normalization Policy Optimization. CoRR Changyi Xiao, Mengdi Zhang, Yixin Cao
2025	J	`jnl`	FRABench and GenEval: Scaling Fine-Grained Aspect Evaluation across Tasks, Modalities. CoRR Shibo Hong, Jiahao Ying, Haiyuan Liang, Mengdi Zhang, Jun Kuang, Jiazheng Zhang, Yixin Cao
2025	J	`jnl`	InftyThink: Breaking the Length Limits of Long-Context Reasoning in Large Language Models. CoRR Yuchen Yan, Yongliang Shen, Yang Liu, Jin Jiang, Mengdi Zhang, Jian Shao, Yueting Zhuang
2025	J	`jnl`	MathFimer: Enhancing Mathematical Reasoning by Expanding Reasoning Steps through Fill-in-the-Middle Task. CoRR Yuchen Yan, Yongliang Shen, Yang Liu, Jin Jiang, Xin Xu, Mengdi Zhang, Jian Shao, Yueting Zhuang
2025	J	`jnl`	Pruning Long Chain-of-Thought of Large Reasoning Models via Small-Scale Preference Optimization. CoRR Bin Hong, Jiayu Liu, Zhenya Huang, Kai Zhang, Mengdi Zhang
2025	A*	`conf`	S^3cMath: Spontaneous Step-Level Self-Correction Makes Large Language Models Better Mathematical Reasoners. AAAI Yuchen Yan, Jin Jiang, Yang Liu, Yixin Cao, Xin Xu, Mengdi Zhang, Xunliang Cai, Jian Shao
2025	J	`jnl`	VerifyBench: Benchmarking Reference-based Reward Systems for Large Language Models. CoRR Yuchen Yan, Jin Jiang, Zhenbang Ren, Yijun Li, Xudong Cai, Yang Liu, Xin Xu, Mengdi Zhang, Jian Shao, Yongliang Shen, Jun Xiao, Yueting Zhuang
2024	J	`jnl`	Bi-Level Graph Structure Learning for Next POI Recommendation. CoRR Liang Wang, Shu Wu, Qiang Liu, Yanqiao Zhu, Xiang Tao, Mengdi Zhang, Liang Wang
2024	J	`jnl`	Bi-Level Graph Structure Learning for Next POI Recommendation. IEEE Trans. Knowl. Data Eng. Liang Wang, Shu Wu, Qiang Liu, Yanqiao Zhu, Xiang Tao, Mengdi Zhang, Liang Wang
2024	A	`conf`	CAMLO: Cross-Attentive Multi-View Network for Long-Term Origin-Destination Flow Prediction. SDM Liang Wang, Hao Fu, Shu Wu, Qiang Liu, Xuelei Tan, Fangsheng Huang, Mengdi Zhang, Wei Wu
2024	A*	`conf`	CPDG: A Contrastive Pre-Training Method for Dynamic Graph Neural Networks. ICDE Yuanchen Bei, Hao Xu, Sheng Zhou, Huixuan Chi, Haishuai Wang, Mengdi Zhang, Zhao Li, Jiajun Bu
2024	—	`conf`	DolphCoder: Echo-Locating Code Large Language Models with Diverse and Multi-Objective Instruction Tuning. ACL (1) Yejie Wang, Keqing He, Guanting Dong, Pei Wang, Weihao Zeng, Muxi Diao, Weiran Xu, Jingang Wang, Mengdi Zhang, Xunliang Cai
2024	J	`jnl`	DolphCoder: Echo-Locating Code Large Language Models with Diverse and Multi-Objective Instruction Tuning. CoRR Yejie Wang, Keqing He, Guanting Dong, Pei Wang, Weihao Zeng, Muxi Diao, Yutao Mou, Mengdi Zhang, Jingang Wang, Xunliang Cai, Weiran Xu
2024	J	`jnl`	How Do Your Code LLMs Perform? Empowering Code Instruction Tuning with High-Quality Data. CoRR 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
2024	A*	`conf`	How Do Your Code LLMs perform? Empowering Code Instruction Tuning with Really Good Data. EMNLP 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
2024	J	`jnl`	Intent-aware Recommendation via Disentangled Graph Contrastive Learning. CoRR Yuling Wang, Xiao Wang, Xiangzhou Huang, Yanhua Yu, Haoyang Li, Mengdi Zhang, Zirui Guo, Wei Wu
2024	J	`jnl`	LogicPro: Improving Complex Logical Reasoning via Program-Guided Learning. CoRR Jin Jiang, Yuchen Yan, Yang Liu, Yonggang Jin, Shuai Peng, Mengdi Zhang, Xunliang Cai, Yixin Cao, Liangcai Gao, Zhi Tang
2024	J	`jnl`	S CoRR Yuchen Yan, Jin Jiang, Yang Liu, Yixin Cao, Xin Xu, Mengdi Zhang, Xunliang Cai, Jian Shao
2023	J	`jnl`	CPDG: A Contrastive Pre-Training Method for Dynamic Graph Neural Networks. CoRR Yuanchen Bei, Hao Xu, Sheng Zhou, Huixuan Chi, Haishuai Wang, Mengdi Zhang, Zhao Li, Jiajun Bu
2023	A	`conf`	DPGN: Denoising Periodic Graph Network for Life Service Recommendation. CIKM Hao Xu, Huixuan Chi, Danyang Liu, Sheng Zhou, Mengdi Zhang
2023	—	`conf`	GUESR: A Global Unsupervised Data-Enhancement with Bucket-Cluster Sampling for Sequential Recommendation. DASFAA (2) Yongqiang Han, Likang Wu, Hao Wang, Guifeng Wang, Mengdi Zhang, Zhi Li, Defu Lian, Enhong Chen
2023	J	`jnl`	GUESR: A Global Unsupervised Data-Enhancement with Bucket-Cluster Sampling for Sequential Recommendation. CoRR Yongqiang Han, Likang Wu, Hao Wang, Guifeng Wang, Mengdi Zhang, Zhi Li, Defu Lian, Enhong Chen
2023	A*	`conf`	Intent-aware Recommendation via Disentangled Graph Contrastive Learning. IJCAI Yuling Wang, Xiao Wang, Xiangzhou Huang, Yanhua Yu, Haoyang Li, Mengdi Zhang, Zirui Guo, Wei Wu
2023	A*	`conf`	KMF: Knowledge-Aware Multi-Faceted Representation Learning for Zero-Shot Node Classification. IJCAI Likang Wu, Junji Jiang, Hongke Zhao, Hao Wang, Defu Lian, Mengdi Zhang, Enhong Chen
2023	J	`jnl`	KMF: Knowledge-Aware Multi-Faceted Representation Learning for Zero-Shot Node Classification. CoRR Likang Wu, Junji Jiang, Hongke Zhao, Hao Wang, Defu Lian, Mengdi Zhang, Enhong Chen
2023	A*	`conf`	M2GNN: Metapath and Multi-interest Aggregated Graph Neural Network for Tag-based Cross-domain Recommendation. SIGIR Zepeng Huai, Yuji Yang, Mengdi Zhang, Zhongyi Zhang, Yichun Li, Wei Wu
2023	J	`jnl`	M2GNN: Metapath and Multi-interest Aggregated Graph Neural Network for Tag-based Cross-domain Recommendation. CoRR Zepeng Huai, Yuji Yang, Mengdi Zhang, Zhongyi Zhang, Yichun Li, Wei Wu
2023	J	`jnl`	Modeling Spatiotemporal Periodicity and Collaborative Signal for Local-Life Service Recommendation. CoRR Huixuan Chi, Hao Xu, Mengya Liu, Yuanchen Bei, Sheng Zhou, Danyang Liu, Mengdi Zhang
2022	A*	`conf`	Ensemble Multi-Relational Graph Neural Networks. IJCAI Yuling Wang, Hao Xu, Yanhua Yu, Mengdi Zhang, Zhenhao Li, Yuji Yang, Wei Wu
2022	J	`jnl`	Ensemble Multi-Relational Graph Neural Networks. CoRR Yuling Wang, Hao Xu, Yanhua Yu, Mengdi Zhang, Zhenhao Li, Yuji Yang, Wei Wu
2022	A*	`conf`	Graph Adaptive Semantic Transfer for Cross-domain Sentiment Classification. SIGIR Kai Zhang, Qi Liu, Zhenya Huang, Mingyue Cheng, Kun Zhang, Mengdi Zhang, Wei Wu, Enhong Chen
2022	J	`jnl`	Graph Adaptive Semantic Transfer for Cross-domain Sentiment Classification. CoRR Kai Zhang, Qi Liu, Zhenya Huang, Mingyue Cheng, Kun Zhang, Mengdi Zhang, Wei Wu, Enhong Chen
2022	—	`conf`	Incorporating Dynamic Semantics into Pre-Trained Language Model for Aspect-based Sentiment Analysis. ACL (Findings) Kai Zhang, Kun Zhang, Mengdi Zhang, Hongke Zhao, Qi Liu, Wei Wu, Enhong Chen
2022	J	`jnl`	Incorporating Dynamic Semantics into Pre-Trained Language Model for Aspect-based Sentiment Analysis. CoRR Kai Zhang, Kun Zhang, Mengdi Zhang, Hongke Zhao, Qi Liu, Wei Wu, Enhong Chen
2022	A	`conf`	Knowledge Enhanced Multi-Interest Network for the Generation of Recommendation Candidates. CIKM Danyang Liu, Yuji Yang, Mengdi Zhang, Wei Wu, Xing Xie, Guangzhong Sun
2022	J	`jnl`	Long Short-Term Preference Modeling for Continuous-Time Sequential Recommendation. CoRR Huixuan Chi, Hao Xu, Hao Fu, Mengya Liu, Mengdi Zhang, Yuji Yang, Qinfen Hao, Wei Wu
2022	A*	`conf`	Mask and Reason: Pre-Training Knowledge Graph Transformers for Complex Logical Queries. KDD Xiao Liu, Shiyu Zhao, Kai Su, Yukuo Cen, Jiezhong Qiu, Mengdi Zhang, Wei Wu, Yuxiao Dong, Jie Tang
2022	J	`jnl`	Mask and Reason: Pre-Training Knowledge Graph Transformers for Complex Logical Queries. CoRR Xiao Liu, Shiyu Zhao, Kai Su, Yukuo Cen, Jiezhong Qiu, Mengdi Zhang, Wei Wu, Yuxiao Dong, Jie Tang
2021	—	`conf`	Learning the Implicit Semantic Representation on Graph-Structured Data. DASFAA (1) Likang Wu, Zhi Li, Hongke Zhao, Qi Liu, Jun Wang, Mengdi Zhang, Enhong Chen
2021	J	`jnl`	Learning the Implicit Semantic Representation on Graph-Structured Data. CoRR Likang Wu, Zhi Li, Hongke Zhao, Qi Liu, Jun Wang, Mengdi Zhang, Enhong Chen
2020	A*	`conf`	STGCN: A Spatial-Temporal Aware Graph Learning Method for POI Recommendation. ICDM Haoyu Han, Mengdi Zhang, Min Hou, Fuzheng Zhang, Zhongyuan Wang, Enhong Chen, Hongwei Wang, Jianhui Ma, Qi Liu
2019	J	`jnl`	Knowledge Graph Convolutional Networks for Recommender Systems with Label Smoothness Regularization. CoRR Hongwei Wang, Fuzheng Zhang, Mengdi Zhang, Jure Leskovec, Miao Zhao, Wenjie Li, Zhongyuan Wang
2019	A*	`conf`	Knowledge-aware Graph Neural Networks with Label Smoothness Regularization for Recommender Systems. KDD Hongwei Wang, Fuzheng Zhang, Mengdi Zhang, Jure Leskovec, Miao Zhao, Wenjie Li, Zhongyuan Wang
2015	—	`conf`	CNME: A System for Chinese News Meta-Data Extraction. JIST Jun-Bo Xia, Fei Xie, Mengdi Zhang, Yu Su, Huan-Bo Luan
2015	—	`conf`	Learning Topic Hierarchies for Wikipedia Categories. ACL (2) Linmei Hu, Xuzhong Wang, Mengdi Zhang, Juan-Zi Li, Xiaoli Li, Chao Shao, Jie Tang, Yongbin Liu
2015	—	`conf`	Target Detection and Knowledge Learning for Domain Restricted Question Answering. NLPCC Mengdi Zhang, Tao Huang, Yixin Cao, Lei Hou