The influence of degree mixing patterns on synchronization paths. - Ming-Yang Zhou 001; Shi-Min Cai; Zhao Zhuo; Zhong-Qian Fu (ASCC, 2013)

Community structure revealed by phase locking. - Ming-Yang Zhou 001; Zhao Zhuo; Shi-Min Cai; Zhong-Qian Fu (CoRR, 2014)

Enhancing speed of pinning synchronizability: low-degree nodes with high feedback gains. - Ming-Yang Zhou 001; Zhao Zhuo; Hao Liao; Zhong-Qian Fu; Shi-Min Cai (CoRR, 2015)

Information mining in weighted complex networks with nonlinear rating projection. - Hao Liao; An Zeng; Ming-Yang Zhou 001; Rui Mao 001; Bing-Hong Wang (Commun. Nonlinear Sci. Numer. Simul., 2017)

Connecting Patterns Inspire Link Prediction in Complex Networks. - Ming-Yang Zhou 001; Hao Liao; Wen-Man Xiong; Xiang-yang Wu; Zong-Wen Wei (Complex., 2017)

Ranking in evolving complex networks. - Hao Liao; Manuel Sebastian Mariani; Matús Medo; Yi-Cheng Zhang; Ming-Yang Zhou 001 (CoRR, 2017)

Hidden space reconstruction inspires link prediction in complex networks. - Hao Liao; Ming-Yang Zhou 001; Zong-Wen Wei; Rui Mao 001; Alexandre Vidmer; Yi-Cheng Zhang (CoRR, 2017)

Enhancing Countries' Fitness with Recommender Systems on the International Trade Network. - Hao Liao; Xiao-Min Huang; Xing-Tong Wu; Ming-Kai Liu; Alexandre Vidmer; Ming-Yang Zhou 001; Yi-Cheng Zhang (Complex., 2018)

Quantifying the Robustness of Countries' Competitiveness by Network-Based Methods. - Ming-Yang Zhou 001; Xiao-Yu Li; Wen-Man Xiong; Hao Liao (Complex., 2018)

Economic Complexity Based Recommendation Enhance the Efficiency of the Belt and Road Initiative. - Hao Liao; Xiao-Min Huang; Alexandre Vidmer; Yi-Cheng Zhang; Ming-Yang Zhou 001 (Entropy, 2018)

The Middle-Income Trap and the Coping Strategies From Network-Based Perspectives. - Ming-Yang Zhou 001; Wen-Man Xiong; Xiao-Yu Li; Hao Liao (Entropy, 2018)

RNC: Reliable Network Property Classifier Based on Graph Embedding. - Hao Liao; Qi-Xin Liu; Alexandre Vidmer; Ming-Yang Zhou 001; Rui Mao 001 (PDCAT, 2019)

Learning the optimally coordinated routes from the statistical mechanics of polymers. - Hao Liao; Xing-Tong Wu; Ming-Yang Zhou 001; Chi Ho Yeung (CoRR, 2019)

Addressing Time Bias in Bipartite Graph Ranking for Important Node Identification. - Hao Liao; Jiao Wu; Ming-Yang Zhou 001; Alexandre Vidmer (CoRR, 2019)

Temporal similarity metrics for latent network reconstruction: The role of time-lag decay. - Hao Liao; Ming-Kai Liu; Manuel Sebastian Mariani; Ming-Yang Zhou 001; Xing-Tong Wu (Inf. Sci., 2019)

A Deep Concept-aware Model for predicting and explaining restaurant future status. - Hao Liao; Xiaojie Zhang; Xin Li; Ming-Yang Zhou 001; Alexandre Vidmer; Rui Mao 001 (ICWS, 2020)

RNR: A Generic Bayesian-based Framework for Enhancing Top-N Recommender Systems. - Rong-Qin Xu; Ming-Yang Zhou 001; Hao Liao (WWW (Companion Volume), 2020)

COVID-19 Plateau: A Phenomenon of Epidemic Development under Adaptive Prevention Strategies. - Ziqiang Wu; Hao Liao; Alexandre Vidmer; Ming-Yang Zhou 001; Wei Chen 013 (CoRR, 2020)

Addressing time bias in bipartite graph ranking for important node identification. - Hao Liao; Jiao Wu; Yifan Mao; Ming-Yang Zhou 001; Alexandre Vidmer; Kezhong Lu (Inf. Sci., 2020)

A generic Bayesian-based framework for enhancing top-N recommender algorithms. - Ming-Yang Zhou 001; Rong-Qin Xu; Zi-Ming Wang; Hao Liao (Inf. Sci., 2021)

Community Splitter: A Network Embedding Method for Predicting Missing Links. - Shuo Wang; Ziqiang Wu; Sheng Bi; Zheng Zhang 025; Xiaomin Huang; Ming-Yang Zhou 001; Hao Liao (DSAA, 2022)

A Joint Learning Framework for Restaurant Survival Prediction and Explanation. - Xin Li; Xiaojie Zhang; Peng Jia; Rui Mao 001; Ming-Yang Zhou 001; Xing Xie 001; Hao Liao (EMNLP, 2022)

PNR: How to optimally combine different link prediction approaches? - Rong-Qin Xu; Ming-Yang Zhou 001; Hao Liao (Inf. Sci., 2022)

Information diffusion-aware likelihood maximization optimization for community detection. - Zheng Zhang 025; Jun Wan 005; Ming-Yang Zhou 001; Kezhong Lu; Guoliang Chen 005; Hao Liao (Inf. Sci., 2022)

Explainable Recommendation with Personalized Review Retrieval and Aspect Learning. - Hao Cheng; Shuo Wang; Wensheng Lu; Wei Zhang 242; Mingyang Zhou 001; Kezhong Lu; Hao Liao (ACL (1), 2023)

Temporal burstiness and collaborative camouflage aware fraud detection. - Zheng Zhang 025; Jun Wan 005; Mingyang Zhou 001; Zhihui Lai 001; Claudio J. Tessone; Guoliang Chen 005; Hao Liao (Inf. Process. Manag., 2023)

Popularity Ratio Maximization: Surpassing Competitors through Influence Propagation. - Hao Liao; Sheng Bi; Jiao Wu; Wei Zhang 242; Mingyang Zhou 001; Rui Mao 001; Wei Chen 013 (Proc. ACM Manag. Data, 2023)

Spammer detection via ranking aggregation of group behavior. - Zheng Zhang 025; Ming-Yang Zhou 001; Jun Wan 005; Kezhong Lu; Guoliang Chen 005; Hao Liao (Expert Syst. Appl., 2023)

Aligning Large Language Models for Controllable Recommendations. - Wensheng Lu; Jianxun Lian; Wei Zhang 242; Guanghua Li; Mingyang Zhou 001; Hao Liao; Xing Xie 001 (ACL (1), 2024)

Modeling Personalized Retweeting Behaviors for Multi-Stage Cascade Popularity Prediction. - Mingyang Zhou 001; Yanjie Lin; Gang Liu 028; Zuwen Li; Hao Liao; Rui Mao 001 (IJCAI, 2024)

Motif-oriented influence maximization for viral marketing in large-scale social networks. - Mingyang Zhou 001; Weiji Cao; Hao Liao; Rui Mao 001 (NeurIPS, 2024)

Accelerating the Decentralized Federated Learning via Manipulating Edges. - Mingyang Zhou 001; Gang Liu 028; Kezhong Lu; Rui Mao 001; Hao Liao (WWW, 2024)

Exploring Loss Landscapes through the Lens of Spin Glass Theory. - Hao Liao; Wei Zhang 242; Zhanyi Huang; Zexiao Long; Mingyang Zhou 001; Xiaoqun Wu; Rui Mao 001; Chi Ho Yeung (CoRR, 2024)

Uncovering milestone papers: A network diffusion and game theory approach. - Wei Zhang 242; Juyang Cao; Manuel Sebastian Mariani; Zhen-Zhen Wang; Mingyang Zhou 001; Wei Chen 013; Hao Liao (J. Informetrics, 2024)

Finding the key nodes to minimize the victims of the malicious information in complex network. - Mingyang Zhou 001; Hongwu Liu; Hao Liao; Gang Liu 028; Rui Mao 001 (Knowl. Based Syst., 2024)

Weak link prediction based on hyper latent distance in complex network. - Mingyang Zhou 001; Fei Wang; Ze Chen; Ji Wu; Gang Liu 028; Hao Liao (Expert Syst. Appl., 2024)

Highly-efficient Minimization of Network Connectivity in Large-scale Graphs. - Mingyang Zhou 001; Gang Liu 028; Kezhong Lu; Hao Liao; Rui Mao 001 (WWW, 2025)

Multiplex graph fusion network with reinforcement structure learning for fraud detection in online e-commerce platforms. - Zheng Zhang 025; Xiang Ao; Claudio J. Tessone; Gang Liu 028; Mingyang Zhou 001; Rui Mao 001; Hao Liao (Expert Syst. Appl., 2025)

Aspect-Enhanced Explainable Recommendation with Multi-modal Contrastive Learning. - Hao Liao; Shuo Wang; Hao Cheng; Wei Zhang 242; Jiwei Zhang 020; Mingyang Zhou 001; Kezhong Lu; Rui Mao 001; Xing Xie 001 (ACM Trans. Intell. Syst. Technol., 2025)

Avoid Recommending Out-of-Domain Items: Constrained Generative Recommendation with LLMs. - Hao Liao; Wensheng Lu; Jianxun Lian; Mingqi Wu; Shuo Wang; Yong Zhang 002; Yitian Huang; Ming-Yang Zhou 001; Xing Xie 001 (CoRR, 2025)