Ming Jin - RankMe

96 papers A* 11A 3Journal 73Unranked 9

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Survey on Diffusion Models for Time Series and Spatio-Temporal Data. ACM Comput. Surv. Yiyuan Yang, Ming Jin, Haomin Wen, Chaoli Zhang, Yuxuan Liang, Lintao Ma, Yi Wang, Chenghao Liu, Bin Yang, Zenglin Xu, Shirui Pan, Qingsong Wen
2026	J	`jnl`	Breaking the Regional Barrier: Inductive Semantic Topology Learning for Worldwide Air Quality Forecasting. CoRR Zhiqing Cui, Siru Zhong, Ming Jin, Shirui Pan, Qingsong Wen, Yuxuan Liang
2026	J	`jnl`	ChatAD: Reasoning-Enhanced Time-Series Anomaly Detection with Multi-Turn Instruction Evolution. CoRR Hui Sun, Chang Xu, Haonan Xie, Hao Li, Yuhao Huang, Chuheng Zhang, Ming Jin, Xiaoguang Liu, Gang Wang, Jiang Bian
2026	J	`jnl`	EIDOS: Latent-Space Predictive Learning for Time Series Foundation Models. CoRR Xinxing Zhou, Qingren Yao, Yiji Zhao, Chenghao Liu, Flora Salim, Xiaojie Yuan, Yanlong Wen, Ming Jin
2026	J	`jnl`	EventCast: Hybrid Demand Forecasting in E-Commerce with LLM-Based Event Knowledge. CoRR Congcong Hu, Yuang Shi, Fan Huang, Yang Xiang, Zhou Ye, Ming Jin, Shiyu Wang
2026	J	`jnl`	Exposing Vulnerabilities in Explanation for Time Series Classifiers via Dual-Target Attacks. CoRR Bohan Wang, Zewen Liu, Lu Lin, Hui Liu, Li Xiong, Ming Jin, Wei Jin
2026	J	`jnl`	FSMC-Pose: Frequency and Spatial Fusion with Multiscale Self-calibration for Cattle Mounting Pose Estimation. CoRR Fangjing Li, Zhihai Wang, Xinxin Ding, Haiyang Liu, Ronghua Gao, Rong Wang, Yao Zhu, Ming Jin
2026	—	`conf`	FaST: Efficient and Effective Long-Horizon Forecasting for Large-Scale Spatial-Temporal Graphs via Mixture-of-Experts. KDD (1) Yiji Zhao, Zihao Zhong, Ao Wang, Haomin Wen, Ming Jin, Yuxuan Liang, Huaiyu Wan, Hao Wu
2026	J	`jnl`	FaST: Efficient and Effective Long-Horizon Forecasting for Large-Scale Spatial-Temporal Graphs via Mixture-of-Experts. CoRR Yiji Zhao, Zihao Zhong, Ao Wang, Haomin Wen, Ming Jin, Yuxuan Liang, Huaiyu Wan, Hao Wu
2026	J	`jnl`	It's TIME: Towards the Next Generation of Time Series Forecasting Benchmarks. CoRR Zhongzheng Qiao, Sheng Pan, Anni Wang, Viktoriya Zhukova, Yong Liu, Xudong Jiang, Qingsong Wen, Mingsheng Long, Ming Jin, Chenghao Liu
2026	J	`jnl`	Noise-robust and sector-aware representation learning for natural gas demand forecasting. Expert Syst. Appl. Xinxing Zhou, Jiaqi Ye, Shubao Zhao, Ming Jin, Zhaoxiang Hou, Chengyi Yang, Zengxiang Li, Yanlong Wen, Xiaojie Yuan
2026	J	`jnl`	OATS: Online Data Augmentation for Time Series Foundation Models. CoRR Junwei Deng, Chang Xu, Jiaqi W. Ma, Ming Jin, Chenghao Liu, Jiang Bian
2026	J	`jnl`	Parallel Complex Diffusion for Scalable Time Series Generation. CoRR Rongyao Cai, Yuxi Wan, Kexin Zhang, Ming Jin, Zhiqiang Ge, Qingsong Wen, Yong Liu
2026	J	`jnl`	STReasoner: Empowering LLMs for Spatio-Temporal Reasoning in Time Series via Spatial-Aware Reinforcement Learning. CoRR Juntong Ni, Shiyu Wang, Ming Jin, Qi He, Wei Jin
2026	J	`jnl`	Sonar-TS: Search-Then-Verify Natural Language Querying for Time Series Databases. CoRR Zhao Tan, Yiji Zhao, Shiyu Wang, Chang Xu, Yuxuan Liang, Xiping Liu, Shirui Pan, Ming Jin
2026	—	`conf`	TimeDistill: Efficient Long-Term Time Series Forecasting with MLP via Cross-Architecture Distillation. KDD (1) Juntong Ni, Zewen Liu, Shiyu Wang, Ming Jin, Wei Jin
2026	J	`jnl`	TimeOmni-VL: Unified Models for Time Series Understanding and Generation. CoRR Tong Guan, Sheng Pan, Johan Barthelemy, Zhao Li, Yujun Cai, Cesare Alippi, Ming Jin, Shirui Pan
2025	J	`jnl`	Can LLMs Correct Themselves? A Benchmark of Self-Correction in LLMs. CoRR Guiyao Tie, Zenghui Yuan, Zeli Zhao, Chaoran Hu, Tianhe Gu, Ruihang Zhang, Sizhe Zhang, Junran Wu, Xiaoyue Tu, Ming Jin, Qingsong Wen, Lixing Chen, Pan Zhou, Lichao Sun
2025	J	`jnl`	Continuous Evolution Pool: Taming Recurring Concept Drift in Online Time Series Forecasting. CoRR Tianxiang Zhan, Ming Jin, Yuanpeng He, Yuxuan Liang, Yong Deng, Shirui Pan
2025	J	`jnl`	Estimating Time Series Foundation Model Transferability via In-Context Learning. CoRR Qingren Yao, Ming Jin, Chengqi Zhang, Chao-Han Huck Yang, Jun Qi, Shirui Pan
2025	J	`jnl`	EventTSF: Event-Aware Non-Stationary Time Series Forecasting. CoRR Yunfeng Ge, Ming Jin, Yiji Zhao, Hongyan Li, Bo Du, Chang Xu, Shirui Pan
2025	—	`conf`	FRT: Flow-based Reconcile Transformer for Hierarchical Time Series. KDD (2) Shiyu Wang, Wei Lu, Jiawei Li, Xiaoming Shi, Xinyue Zhong, Zhou Ye, Ming Jin, Qingsong Wen
2025	—	`conf`	Foundation Models for Spatio-Temporal Data Science: A Tutorial and Survey. KDD (2) Yuxuan Liang, Haomin Wen, Yutong Xia, Ming Jin, Bin Yang, Flora Salim, Qingsong Wen, Shirui Pan, Gao Cong
2025	J	`jnl`	Foundation Models for Spatio-Temporal Data Science: A Tutorial and Survey. CoRR Yuxuan Liang, Haomin Wen, Yutong Xia, Ming Jin, Bin Yang, Flora Salim, Qingsong Wen, Shirui Pan, Gao Cong
2025	J	`jnl`	From Entanglement to Alignment: Representation Space Decomposition for Unsupervised Time Series Domain Adaptation. CoRR Rongyao Cai, Ming Jin, Qingsong Wen, Kexin Zhang
2025	J	`jnl`	Multi-Scale Finetuning for Encoder-based Time Series Foundation Models. CoRR Zhongzheng Qiao, Chenghao Liu, Yiming Zhang, Ming Jin, Quang Pham, Qingsong Wen, Ponnuthurai N. Suganthan, Xudong Jiang, Savitha Ramasamy
2025	A	`conf`	OASIS: Harnessing Diffusion Adversarial Network for Ocean Salinity Imputation using Sparse Drifter Trajectories. CIKM Bo Li, Yingqi Feng, Ming Jin, Xin Zheng, Yufei Tang, Laurent M. Chérubin, Can Wang, Alan Wee-Chung Liew, Qinghua Lu, Jingwei Yao, Hong Zhang, Shirui Pan, Xingquan Zhu
2025	J	`jnl`	OASIS: Harnessing Diffusion Adversarial Network for Ocean Salinity Imputation using Sparse Drifter Trajectories. CoRR Bo Li, Yingqi Feng, Ming Jin, Xin Zheng, Yufei Tang, Laurent M. Chérubin, Alan Wee-Chung Liew, Can Wang, Qinghua Lu, Jingwei Yao, Shirui Pan, Hong Zhang, Xingquan Zhu
2025	J	`jnl`	Position: Empowering Time Series Reasoning with Multimodal LLMs. CoRR Yaxuan Kong, Yiyuan Yang, Shiyu Wang, Chenghao Liu, Yuxuan Liang, Ming Jin, Stefan Zohren, Dan Pei, Yan Liu, Qingsong Wen
2025	—	`conf`	SCOPE-MoE: Supply Chain Forecasting with a Pretrained MoE-Based Large Time Series Model in E-Commerce. ITSC Shiyu Wang, Xinyue Zhong, Jiawei Li, Baichuan Mo, Zhou Ye, Ming Jin
2025	J	`jnl`	ShapeX: Shapelet-Driven Post Hoc Explanations for Time Series Classification Models. CoRR Bosong Huang, Ming Jin, Yuxuan Liang, Johan Barthelemy, Debo Cheng, Qingsong Wen, Chenghao Liu, Shirui Pan
2025	A*	`conf`	T2S: High-resolution Time Series Generation with Text-to-Series Diffusion Models. IJCAI Yunfeng Ge, Jiawei Li, Yiji Zhao, Haomin Wen, Zhao Li, Meikang Qiu, Hongyan Li, Ming Jin, Shirui Pan
2025	J	`jnl`	T2S: High-resolution Time Series Generation with Text-to-Series Diffusion Models. CoRR Yunfeng Ge, Jiawei Li, Yiji Zhao, Haomin Wen, Zhao Li, Meikang Qiu, Hongyan Li, Ming Jin, Shirui Pan
2025	A*	`conf`	Test-Time GNN Model Evaluation on Dynamic Graphs. ICDM Bo Li, Xin Zheng, Ming Jin, Can Wang, Shirui Pan
2025	J	`jnl`	Test-time GNN Model Evaluation on Dynamic Graphs. CoRR Bo Li, Xin Zheng, Ming Jin, Can Wang, Shirui Pan
2025	—	`conf`	The International Workshop on Spatio-Temporal Data Mining from the Web. WWW (Companion Volume) Yuxuan Liang, Hao Xue, Ming Jin, Flora Salim, Qingsong Wen, Yong Li, Roger Zimmermann, Yu Zheng
2025	J	`jnl`	The Procrustean Bed of Time Series: The Optimization Bias of Point-wise Loss. CoRR Rongyao Cai, Yuxi Wan, Kexin Zhang, Ming Jin, Hao Wang, Zhiqiang Ge, Daoyi Dong, Yong Li, Qingsong Wen
2025	—	`conf`	The Workshop of Artificial Intelligence for Web-Centric Time Series Analysis (AI4TS): Theory, Algorithms, and Applications. WWW (Companion Volume) Ming Jin, Mahsa Salehi, Yuxuan Liang, Dongjin Song, Flora Salim, Min Wu, Shirui Pan, Qingsong Wen
2025	—	`conf`	Time Series Analysis in the Web: Recent Advances and Future Trends. WWW (Companion Volume) Ming Jin, Wei Jin, Hao Xue, Flora Salim, Yuxuan Liang
2025	—	`conf`	Time-MQA: Time Series Multi-Task Question Answering with Context Enhancement. ACL (1) Yaxuan Kong, Yiyuan Yang, Yoontae Hwang, Wenjie Du, Stefan Zohren, Zhangyang Wang, Ming Jin, Qingsong Wen
2025	J	`jnl`	Time-MQA: Time Series Multi-Task Question Answering with Context Enhancement. CoRR Yaxuan Kong, Yiyuan Yang, Yoontae Hwang, Wenjie Du, Stefan Zohren, Zhangyang Wang, Ming Jin, Qingsong Wen
2025	A*	`conf`	Time-VLM: Exploring Multimodal Vision-Language Models for Augmented Time Series Forecasting. ICML Siru Zhong, Weilin Ruan, Ming Jin, Huan Li, Qingsong Wen, Yuxuan Liang
2025	J	`jnl`	Time-VLM: Exploring Multimodal Vision-Language Models for Augmented Time Series Forecasting. CoRR Siru Zhong, Weilin Ruan, Ming Jin, Huan Li, Qingsong Wen, Yuxuan Liang
2025	J	`jnl`	TimeDistill: Efficient Long-Term Time Series Forecasting with MLP via Cross-Architecture Distillation. CoRR Juntong Ni, Zewen Liu, Shiyu Wang, Ming Jin, Wei Jin
2025	A*	`conf`	TimeMixer++: A General Time Series Pattern Machine for Universal Predictive Analysis. ICLR Shiyu Wang, Jiawei Li, Xiaoming Shi, Zhou Ye, Baichuan Mo, Wenze Lin, Shengtong Ju, Zhixuan Chu, Ming Jin
2025	J	`jnl`	TimeOmni-1: Incentivizing Complex Reasoning with Time Series in Large Language Models. CoRR Tong Guan, Zijie Meng, Dianqi Li, Shiyu Wang, Chao-Han Huck Yang, Qingsong Wen, Zuozhu Liu, Sabato Marco Siniscalchi, Ming Jin, Shirui Pan
2025	J	`jnl`	Towards Expressive Spectral-Temporal Graph Neural Networks for Time Series Forecasting. IEEE Trans. Pattern Anal. Mach. Intell. Ming Jin, Guangsi Shi, Yuan-Fang Li, Bo Xiong, Tian Zhou, Flora D. Salim, Liang Zhao, Lingfei Wu, Qingsong Wen, Shirui Pan
2025	A*	`conf`	Towards Neural Scaling Laws for Time Series Foundation Models. ICLR Qingren Yao, Chao-Han Huck Yang, Renhe Jiang, Yuxuan Liang, Ming Jin, Shirui Pan
2025	J	`jnl`	Transforming Urban Dynamics: Harnessing Large Language Models for Smarter Mobility. IEEE Intell. Syst. Hao Xue, Ming Jin, Shirui Pan, Flora Salim
2024	J	`jnl`	A Survey on Diffusion Models for Time Series and Spatio-Temporal Data. CoRR Yiyuan Yang, Ming Jin, Haomin Wen, Chaoli Zhang, Yuxuan Liang, Lintao Ma, Yi Wang, Chenghao Liu, Bin Yang, Zenglin Xu, Jiang Bian, Shirui Pan, Qingsong Wen
2024	J	`jnl`	A Survey on Graph Neural Networks for Time Series: Forecasting, Classification, Imputation, and Anomaly Detection. IEEE Trans. Pattern Anal. Mach. Intell. Ming Jin, Huan Yee Koh, Qingsong Wen, Daniele Zambon, Cesare Alippi, Geoffrey I. Webb, Irwin King, Shirui Pan
2024	A*	`conf`	Attractor Memory for Long-Term Time Series Forecasting: A Chaos Perspective. NeurIPS Jiaxi Hu, Yuehong Hu, Wei Chen, Ming Jin, Shirui Pan, Qingsong Wen, Yuxuan Liang
2024	J	`jnl`	Attractor Memory for Long-Term Time Series Forecasting: A Chaos Perspective. CoRR Jiaxi Hu, Yuehong Hu, Wei Chen, Ming Jin, Shirui Pan, Qingsong Wen, Yuxuan Liang
2024	J	`jnl`	Correlation-Aware Spatial-Temporal Graph Learning for Multivariate Time-Series Anomaly Detection. IEEE Trans. Neural Networks Learn. Syst. Yu Zheng, Huan Yee Koh, Ming Jin, Lianhua Chi, Khoa Tran Phan, Shirui Pan, Yi-Ping Phoebe Chen, Wei Xiang
2024	J	`jnl`	DyG-Mamba: Continuous State Space Modeling on Dynamic Graphs. CoRR Dongyuan Li, Shiyin Tan, Ying Zhang, Ming Jin, Shirui Pan, Manabu Okumura, Renhe Jiang
2024	J	`jnl`	EffiCANet: Efficient Time Series Forecasting with Convolutional Attention. CoRR Xinxing Zhou, Jiaqi Ye, Shubao Zhao, Ming Jin, Chengyi Yang, Yanlong Wen, Xiaojie Yuan
2024	A*	`conf`	Foundation Models for Time Series Analysis: A Tutorial and Survey. KDD Yuxuan Liang, Haomin Wen, Yuqi Nie, Yushan Jiang, Ming Jin, Dongjin Song, Shirui Pan, Qingsong Wen
2024	J	`jnl`	Foundation Models for Time Series Analysis: A Tutorial and Survey. CoRR Yuxuan Liang, Haomin Wen, Yuqi Nie, Yushan Jiang, Ming Jin, Dongjin Song, Shirui Pan, Qingsong Wen
2024	J	`jnl`	Graph Spatiotemporal Process for Multivariate Time Series Anomaly Detection with Missing Values. CoRR Yu Zheng, Huan Yee Koh, Ming Jin, Lianhua Chi, Haishuai Wang, Khoa Tran Phan, Yi-Ping Phoebe Chen, Shirui Pan, Wei Xiang
2024	J	`jnl`	Graph spatiotemporal process for multivariate time series anomaly detection with missing values. Inf. Fusion Yu Zheng, Huan Yee Koh, Ming Jin, Lianhua Chi, Haishuai Wang, Khoa Tran Phan, Yi-Ping Phoebe Chen, Shirui Pan, Wei Xiang
2024	J	`jnl`	HiMTM: Hierarchical Multi-Scale Masked Time Series Modeling for Long-Term Forecasting. CoRR Shubao Zhao, Ming Jin, Zhaoxiang Hou, Chengyi Yang, Zengxiang Li, Qingsong Wen, Yi Wang
2024	A	`conf`	HiMTM: Hierarchical Multi-Scale Masked Time Series Modeling with Self-Distillation for Long-Term Forecasting. CIKM Shubao Zhao, Ming Jin, Zhaoxiang Hou, Chengyi Yang, Zengxiang Li, Qingsong Wen, Yi Wang
2024	J	`jnl`	Position Paper: What Can Large Language Models Tell Us about Time Series Analysis. CoRR Ming Jin, Yifan Zhang, Wei Chen, Kexin Zhang, Yuxuan Liang, Bin Yang, Jindong Wang, Shirui Pan, Qingsong Wen
2024	A*	`conf`	Position: What Can Large Language Models Tell Us about Time Series Analysis. ICML Ming Jin, Yifan Zhang, Wei Chen, Kexin Zhang, Yuxuan Liang, Bin Yang, Jindong Wang, Shirui Pan, Qingsong Wen
2024	J	`jnl`	Rethinking self-supervised learning for time series forecasting: A temporal perspective. Knowl. Based Syst. Shubao Zhao, Xinxing Zhou, Ming Jin, Zhaoxiang Hou, Chengyi Yang, Zengxiang Li, Qingsong Wen, Yi Wang, Yanlong Wen, Xiaojie Yuan
2024	J	`jnl`	Self-Supervised Learning for Time Series Analysis: Taxonomy, Progress, and Prospects. IEEE Trans. Pattern Anal. Mach. Intell. Kexin Zhang, Qingsong Wen, Chaoli Zhang, Rongyao Cai, Ming Jin, Yong Liu, James Y. Zhang, Yuxuan Liang, Guansong Pang, Dongjin Song, Shirui Pan
2024	A*	`conf`	Time-LLM: Time Series Forecasting by Reprogramming Large Language Models. ICLR Ming Jin, Shiyu Wang, Lintao Ma, Zhixuan Chu, James Y. Zhang, Xiaoming Shi, Pin-Yu Chen, Yuxuan Liang, Yuan-Fang Li, Shirui Pan, Qingsong Wen
2024	J	`jnl`	Time-MoE: Billion-Scale Time Series Foundation Models with Mixture of Experts. CoRR Xiaoming Shi, Shiyu Wang, Yuqi Nie, Dianqi Li, Zhou Ye, Qingsong Wen, Ming Jin
2024	J	`jnl`	TimeMixer++: A General Time Series Pattern Machine for Universal Predictive Analysis. CoRR Shiyu Wang, Jiawei Li, Xiaoming Shi, Zhou Ye, Baichuan Mo, Wenze Lin, Shengtong Ju, Zhixuan Chu, Ming Jin
2024	J	`jnl`	Toward Graph Self-Supervised Learning With Contrastive Adjusted Zooming. IEEE Trans. Neural Networks Learn. Syst. Yizhen Zheng, Ming Jin, Shirui Pan, Yuan-Fang Li, Hao Peng, Ming Li, Zhao Li
2024	J	`jnl`	Towards Neural Scaling Laws for Time Series Foundation Models. CoRR Qingren Yao, Chao-Han Huck Yang, Renhe Jiang, Yuxuan Liang, Ming Jin, Shirui Pan
2024	J	`jnl`	Towards Universal Large-Scale Foundational Model for Natural Gas Demand Forecasting. CoRR Xinxing Zhou, Jiaqi Ye, Shubao Zhao, Ming Jin, Zhaoxiang Hou, Chengyi Yang, Zengxiang Li, Yanlong Wen, Xiaojie Yuan
2024	J	`jnl`	Towards complex dynamic physics system simulation with graph neural ordinary equations. Neural Networks Guangsi Shi, Daokun Zhang, Ming Jin, Shirui Pan, Philip S. Yu
2023	J	`jnl`	A Survey on Graph Neural Networks for Time Series: Forecasting, Classification, Imputation, and Anomaly Detection. CoRR Ming Jin, Huan Yee Koh, Qingsong Wen, Daniele Zambon, Cesare Alippi, Geoffrey I. Webb, Irwin King, Shirui Pan
2023	J	`jnl`	Correlation-aware Spatial-Temporal Graph Learning for Multivariate Time-series Anomaly Detection. CoRR Yu Zheng, Huan Yee Koh, Ming Jin, Lianhua Chi, Khoa Tran Phan, Shirui Pan, Yi-Ping Phoebe Chen, Wei Xiang
2023	J	`jnl`	Generative and Contrastive Self-Supervised Learning for Graph Anomaly Detection. IEEE Trans. Knowl. Data Eng. Yu Zheng, Ming Jin, Yixin Liu, Lianhua Chi, Khoa Tran Phan, Yi-Ping Phoebe Chen
2023	J	`jnl`	Geometric Relational Embeddings: A Survey. CoRR Bo Xiong, Mojtaba Nayyeri, Ming Jin, Yunjie He, Michael Cochez, Shirui Pan, Steffen Staab
2023	J	`jnl`	Graph Self-Supervised Learning: A Survey. IEEE Trans. Knowl. Data Eng. Yixin Liu, Ming Jin, Shirui Pan, Chuan Zhou, Yu Zheng, Feng Xia, Philip S. Yu
2023	J	`jnl`	How Expressive are Spectral-Temporal Graph Neural Networks for Time Series Forecasting? CoRR Ming Jin, Guangsi Shi, Yuan-Fang Li, Qingsong Wen, Bo Xiong, Tian Zhou, Shirui Pan
2023	J	`jnl`	Large Models for Time Series and Spatio-Temporal Data: A Survey and Outlook. CoRR Ming Jin, Qingsong Wen, Yuxuan Liang, Chaoli Zhang, Siqiao Xue, Xue Wang, James Zhang, Yi Wang, Haifeng Chen, Xiaoli Li, Shirui Pan, Vincent S. Tseng, Yu Zheng, Lei Chen, Hui Xiong
2023	J	`jnl`	Multivariate Time Series Forecasting With Dynamic Graph Neural ODEs. IEEE Trans. Knowl. Data Eng. Ming Jin, Yu Zheng, Yuan-Fang Li, Siheng Chen, Bin Yang, Shirui Pan
2023	J	`jnl`	Self-Supervised Learning for Time Series Analysis: Taxonomy, Progress, and Prospects. CoRR Kexin Zhang, Qingsong Wen, Chaoli Zhang, Rongyao Cai, Ming Jin, Yong Liu, James Zhang, Yuxuan Liang, Guansong Pang, Dongjin Song, Shirui Pan
2023	J	`jnl`	Time-LLM: Time Series Forecasting by Reprogramming Large Language Models. CoRR Ming Jin, Shiyu Wang, Lintao Ma, Zhixuan Chu, James Y. Zhang, Xiaoming Shi, Pin-Yu Chen, Yuxuan Liang, Yuan-Fang Li, Shirui Pan, Qingsong Wen
2023	J	`jnl`	Towards Complex Dynamic Physics System Simulation with Graph Neural ODEs. CoRR Guangsi Shi, Daokun Zhang, Ming Jin, Shirui Pan
2022	J	`jnl`	From Unsupervised to Few-shot Graph Anomaly Detection: A Multi-scale Contrastive Learning Approach. CoRR Yu Zheng, Ming Jin, Yixin Liu, Lianhua Chi, Khoa Tran Phan, Shirui Pan, Yi-Ping Phoebe Chen
2022	J	`jnl`	Multivariate Time Series Forecasting with Dynamic Graph Neural ODEs. CoRR Ming Jin, Yu Zheng, Yuan-Fang Li, Siheng Chen, Bin Yang, Shirui Pan
2022	A*	`conf`	Neural Temporal Walks: Motif-Aware Representation Learning on Continuous-Time Dynamic Graphs. NeurIPS Ming Jin, Yuan-Fang Li, Shirui Pan
2021	A	`conf`	ANEMONE: Graph Anomaly Detection with Multi-Scale Contrastive Learning. CIKM Ming Jin, Yixin Liu, Yu Zheng, Lianhua Chi, Yuan-Fang Li, Shirui Pan
2021	J	`jnl`	Generative and Contrastive Self-Supervised Learning for Graph Anomaly Detection. CoRR Yu Zheng, Ming Jin, Yixin Liu, Lianhua Chi, Khoa Tran Phan, Yi-Ping Phoebe Chen
2021	J	`jnl`	Graph Self-Supervised Learning: A Survey. CoRR Yixin Liu, Shirui Pan, Ming Jin, Chuan Zhou, Feng Xia, Philip S. Yu
2021	A*	`conf`	Multi-Scale Contrastive Siamese Networks for Self-Supervised Graph Representation Learning. IJCAI Ming Jin, Yizhen Zheng, Yuan-Fang Li, Chen Gong, Chuan Zhou, Shirui Pan
2021	J	`jnl`	Multi-Scale Contrastive Siamese Networks for Self-Supervised Graph Representation Learning. CoRR Ming Jin, Yizhen Zheng, Yuan-Fang Li, Chen Gong, Chuan Zhou, Shirui Pan
2021	J	`jnl`	Towards Graph Self-Supervised Learning with Contrastive Adjusted Zooming. CoRR Yizhen Zheng, Ming Jin, Shirui Pan, Yuan-Fang Li, Hao Peng, Ming Li, Zhao Li
2020	J	`jnl`	Optimized Coefficient Vector and Sparse Representation-Based Classification Method for Face Recognition. IEEE Access Shigang Liu, Lingjun Li, Ming Jin, Sujuan Hou, Yali Peng
2020	J	`jnl`	Searching Correlated Patterns From Graph Streams. IEEE Access Ming Jin, Mei Li, Yu Zheng, Lianhua Chi
2019	J	`jnl`	A Clickthrough Rate Prediction Algorithm Based on Users' Behaviors. IEEE Access Xi Xiong, Chuan Xie, Rongmei Zhao, YuanYuan Li, Shenggen Ju, Ming Jin