The Peering Problem in Tree-Based Master/Worker Overlays. - Hung-Chang Hsiao; Hao Liao (GPC, 2006)

A Novel Peer-to-Peer Overlay for Live Media Broadcasting. - Hung-Chang Hsiao; Hao Liao (ICPP Workshops, 2007)

Load Balancing in Peer-to-Peer Networks Based on Sampling System States. - Hung-Chang Hsiao; I-Ta Lin; Hao Liao (EUC (1), 2008)

Optimizing Unstructured Peer-to-Peer Overlays with Topology Awareness. - Hao Liao; Po-Shen Yeh; Hung-Chang Hsiao (ICPADS, 2009)

Resolving the Topology Mismatch Problem in Unstructured Peer-to-Peer Networks. - Hung-Chang Hsiao; Hao Liao; Cheng-Chyun Huang (IEEE Trans. Parallel Distributed Syst., 2009)

Building Small-World Peer-to-Peer Networks Based on Hierarchical Structures. - Hung-Chang Hsiao; Yung-Chih Lin; Hao Liao (IEEE Trans. Parallel Distributed Syst., 2009)

Small-World Social Relationship Awareness in Unstructured Peer-to-Peer Networks. - Hao Liao; Kuo-Chan Huang; Hung-Chang Hsiao (ICPADS, 2010)

A Near-Optimal Algorithm Attacking the Topology Mismatch Problem in Unstructured Peer-to-Peer Networks. - Hung-Chang Hsiao; Hao Liao; Po-Shen Yeh (IEEE Trans. Parallel Distributed Syst., 2010)

Study on meaningful string extraction algorithm for improving webpage classification. - Jie Chen 013; Jian Li 035; Hao Liao; Qingsheng Yuan; Xiuguo Bao (NLPKE, 2011)

Load Balance with Imperfect Information in Structured Peer-to-Peer Systems. - Hung-Chang Hsiao; Hao Liao; Ssu-Ta Chen; Kuo-Chan Huang (IEEE Trans. Parallel Distributed Syst., 2011)

Measuring Quality, Reputation and Trust in Online Communities. - Hao Liao; Giulio Cimini; Matús Medo (ISMIS, 2012)

Ranking users, papers and authors in online scientific communities. - Hao Liao; Rui Xiao; Giulio Cimini; Matús Medo (CoRR, 2013)

Reconstructing propagation networks with temporal similarity metrics. - Hao Liao; An Zeng (CoRR, 2014)

Predicting missing links via correlation between nodes. - Hao Liao; An Zeng; Yi-Cheng Zhang (CoRR, 2014)

Towards an objective ranking in online reputation systems: the effect of the rating projection. - Hao Liao; An Zeng; Yi-Cheng Zhang (CoRR, 2014)

Analysis of ground state in random bipartite matching. - Gui-Yuan Shi; Yi-Xiu Kong; Hao Liao; Yi-Cheng Zhang (CoRR, 2015)

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)

Index Based Hidden Outlier Detection in Metric Space. - Honglong Xu; Rui Mao 001; Hao Liao; He Zhang; Minhua Lu; Guoliang Chen 005 (Sci. Program., 2016)

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)

An efficient semi-supervised representatives feature selection algorithm based on information theory. - Yintong Wang; Jiandong Wang; Hao Liao; Haiyan Chen (Pattern Recognit., 2017)

Queue-Aware Dynamic Resource Reuse and Joint Allocation Algorithm in Self-Backhaul Small Cell Networks. - Lun Tang; Yannan Wei; Lanqin He; Hao Liao; Qianbin Chen (IEEE Access, 2018)

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)

A Comparative Analysis of the Predictive Abilities of Economic Complexity Metrics Using International Trade Network. - Hao Liao; Alexandre Vidmer (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)

Accumulative time-based ranking method to reputation evaluation in information networks. - Hao Liao; Qi-Xin Liu; Ze-cheng Huang; 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)

Community-Based Propagation of Important Nodes in the Blockchain Network. - Xin Li; Weidong Zheng; Hao Liao (ChineseCSCW, 2020)

Population Mobility Driven COVID-19 Analysis in Shenzhen. - Ziqiang Wu; Xin Li; Juyang Cao; Zhanning Zhang; Xiaozhi Lin; Yunkun Zhu; Lijun Ma; Hao Liao (ChineseCSCW, 2020)

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)

Incorporating User-Comment Graph for Fake News Detection. - Hao Liao; Qi-Xin Liu; Kai Shu; Xing Xie 001 (CoRR, 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)

Evaluating user reputation of online rating systems by rating statistical patterns. - Hong-Liang Sun; Kai-Ping Liang; Hao Liao; Duan-Bing Chen (Knowl. Based Syst., 2021)

Towards Fine-Grained Reasoning for Fake News Detection. - Yiqiao Jin; Xiting Wang; Ruichao Yang; Yizhou Sun; Wei Wang 010; Hao Liao; Xing Xie 001 (AAAI, 2022)

Node-IBD: A Dynamic Isolation Optimization Algorithm for Infection Prevention and Control Based on Influence Diffusion. - Songjian Zhou; Zheng Zhang; Ziqiang Wu; Hao Cheng; Shuo Wang; Sheng Bi; Hao Liao (ChineseCSCW (2), 2022)

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)

FairVFL: A Fair Vertical Federated Learning Framework with Contrastive Adversarial Learning. - Tao Qi; Fangzhao Wu; Chuhan Wu; Lingjuan Lyu; Tong Xu 001; Hao Liao; Zhongliang Yang; Yongfeng Huang 001; Xing Xie 001 (NeurIPS, 2022)

Resisting Graph Adversarial Attack via Cooperative Homophilous Augmentation. - Zhihao Zhu 002; Chenwang Wu; Min Zhou 006; Hao Liao; Defu Lian; Enhong Chen (ECML/PKDD (3), 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)

Accumulative Time Based Ranking Method to Reputation Evaluation in Information Networks. - Hao Liao; Qi-Xin Liu; Ze-cheng Huang; Ke-Zhong Lu; Chi Ho Yeung; Yi-Cheng Zhang (J. Comput. Sci. Technol., 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)

Explainable Restaurant Closure Prediction through Co-Attentive Contrastive Learning. - Hao Cheng; Wei Zhang 242; Shuo Wang; Hao Liao (IJCNN, 2023)

MUSER: A MUlti-Step Evidence Retrieval Enhancement Framework for Fake News Detection. - Hao Liao; Jiahao Peng; Zhanyi Huang; Wei Zhang 242; Guanghua Li; Kai Shu; Xing Xie 001 (KDD, 2023)

MUSER: A MUlti-Step Evidence Retrieval Enhancement Framework for Fake News Detection. - Hao Liao; Jiaohao Peng; Zhanyi Huang; Wei Zhang 242; Guanghua Li; Kai Shu; Xing Xie 001 (CoRR, 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)

A Data-Centric Multi-Objective Learning Framework for Responsible Recommendation Systems. - Xu Huang 008; Jianxun Lian; Hao Wang 049; Hao Liao; Defu Lian; Xing Xie 001 (WWW, 2024)

Re-Search for The Truth: Multi-round Retrieval-augmented Large Language Models are Strong Fake News Detectors. - Guanghua Li; Wensheng Lu; Wei Zhang 242; Defu Lian; Kezhong Lu; Rui Mao 001; Kai Shu; Hao Liao (CoRR, 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)

AIR-Bench: Automated Heterogeneous Information Retrieval Benchmark. - Jianlyu Chen; Nan Wang; Chaofan Li; Bo Wang; Shitao Xiao; Han Xiao; Hao Liao; Defu Lian; Zheng Liu 011 (ACL (1), 2025)

Pretraining Context Compressor for Large Language Models with Embedding-Based Memory. - Yuhong Dai; Jianxun Lian; Yitian Huang; Wei Zhang; Mingyang Zhou; Mingqi Wu; Xing Xie; Hao Liao (ACL (1), 2025)

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)

Fitting Into Any Shape: A Flexible LLM-Based Re-Ranker With Configurable Depth and Width. - Zheng Liu 011; Chaofan Li; Shitao Xiao; Chaozhuo Li; Chen Jason Zhang; Hao Liao; Defu Lian; Yingxia Shao (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)

A High Data Rate Solution for Multi-Carrier DCSK. - Bin Yu; Guo-Ping Jiang; Hua Yang 003; Ya-qiong Jia; Hao Liao (Int. J. Bifurc. Chaos, 2025)

Domain adaptation for semantic segmentation of road scenes via two-stage alignment of traffic elements. - Yuan Gao; Yaochen Li; Hao Liao; Tenweng Zhang; Chao Qiu (Neurocomputing, 2025)

Heterogeneous graph representation learning via mutual information estimation for fraud detection. - Zheng Zhang 025; Xiangyu Su; Ji Wu; Claudio J. Tessone; Hao Liao (J. Netw. Comput. 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)

BPTCN: a low-latency branch prediction model based on temporal convolutional networks. - Ye Cai 001; Jinghui Zhong; Guoliang Chen; Hao Liao (J. Supercomput., 2025)