Wenbin Hu - RankMe

135 papers A* 21A 4B 4C 2Journal 88Unranked 16

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Can Molecular Evolution Mechanism Enhance Molecular Representation? AAAI Kun Li, Longtao Hu, Jiameng Chen, Hongzhi Zhang, Yida Xiong, Xiantao Cai, Wenbin Hu, Jia Wu
2026	J	`jnl`	DA-MoE: Addressing depth-sensitivity in graph-level analysis through mixture of experts. Neural Networks Zelin Yao, Mukun Chen, Chuang Liu, Xianke Meng, Yibing Zhan, Jia Wu, Shirui Pan, Huiting Xu, Wenbin Hu
2026	A*	`conf`	Hi-GMAE: Hierarchical Graph Masked Autoencoders. WWW Chuang Liu, Zelin Yao, Xueqi Ma, Mukun Chen, Luzhi Wang, Jia Wu, Wenbin Hu
2026	J	`jnl`	OmniCompliance-100K: A Multi-Domain, Rule-Grounded, Real-World Safety Compliance Dataset. CoRR Wenbin Hu, Huihao Jing, Haochen Shi, Changxuan Fan, Haoran Li, Yangqiu Song
2026	J	`jnl`	PCEvo: Path-Consistent Molecular Representation via Virtual Evolutionary. CoRR Kun Li, Longtao Hu, Yida Xiong, Jiajun Yu, Hongzhi Zhang, Jiameng Chen, Xiantao Cai, Jia Wu, Wenbin Hu
2026	A*	`conf`	Sequence-Free for Compound Protein Interaction Prediction. AAAI Hongzhi Zhang, Jiameng Chen, Kun Li, Yida Xiong, Xiantao Cai, Wenbin Hu, Jia Wu
2026	J	`jnl`	Text-guided multi-property molecular optimization with a diffusion language model. Inf. Fusion Yida Xiong, Kun Li, Jiameng Chen, Hongzhi Zhang, Di Lin, Yan Che, Wenbin Hu
2026	J	`jnl`	Variational Bayesian Flow Network for Graph Generation. CoRR Yida Xiong, Jiameng Chen, Xiuwen Gong, Jia Wu, Shirui Pan, Wenbin Hu
2026	J	`jnl`	Zero-shot learning with subsequence reordering pretraining for compound-protein interaction. Knowl. Based Syst. Hongzhi Zhang, Zhonglie Liu, Kun Meng, Jiameng Chen, Jia Wu, Bo Du, Di Lin, Yan Che, Wenbin Hu
2025	A*	`conf`	Antibody Design and Optimization with Multi-scale Equivariant Graph Diffusion Models for Accurate Complex Antigen Binding. IJCAI Jiameng Chen, Xiantao Cai, Jia Wu, Wenbin Hu
2025	J	`jnl`	Antibody Design and Optimization with Multi-scale Equivariant Graph Diffusion Models for Accurate Complex Antigen Binding. CoRR Jiameng Chen, Xiantao Cai, Jia Wu, Wenbin Hu
2025	J	`jnl`	BSL: A Unified and Generalizable Multitask Learning Platform for Virtual Drug Discovery from Design to Synthesis. CoRR Kun Li, Zhennan Wu, Yida Xiong, Hongzhi Zhang, Longtao Hu, Zhonglie Liu, Junqi Zeng, Wenjie Wu, Mukun Chen, Jiameng Chen, Wenbin Hu
2025	J	`jnl`	Benchmarking Reasoning Robustness in Large Language Models. CoRR Tong Yu, Yongcheng Jing, Xikun Zhang, Wentao Jiang, Wenjie Wu, Yingjie Wang, Wenbin Hu, Bo Du, Dacheng Tao
2025	—	`conf`	Brain Wiring Knowledge Graph Reasoning: A Region Embedding Approach for Logical Neuronal Relation Inference. MICCAI (12) Zhengyun Zhou, Guojia Wan, Fei Liao, Wenbin Hu, Minghui Liao, Junchao Qiu, Xinyuan Li, Bo Du
2025	J	`jnl`	Building connectome analysis tools with representation learning on neuronal skeleton and circuit topology. Neural Networks Minghui Liao, Guojia Wan, Wenbin Hu, Bo Du
2025	J	`jnl`	Can Molecular Evolution Mechanism Enhance Molecular Representation? CoRR Kun Li, Longtao Hu, Xiantao Cai, Jia Wu, Wenbin Hu
2025	C	`conf`	Collaborative Drug Design Based on A Drug-Drug Interaction-Guided Diffusion Model. CSCWD Chenhui Hu, Kun Li, Longtao Hu, Yida Xiong, Xiantao Cai, Wenbin Hu
2025	A*	`conf`	Context Reasoner: Incentivizing Reasoning Capability for Contextualized Privacy and Safety Compliance via Reinforcement Learning. EMNLP Wenbin Hu, Haoran Li, Huihao Jing, Qi Hu, Ziqian Zeng, Sirui Han, Heli Xu, Tianshu Chu, Peizhao Hu, Yangqiu Song
2025	J	`jnl`	Context Reasoner: Incentivizing Reasoning Capability for Contextualized Privacy and Safety Compliance via Reinforcement Learning. CoRR Wenbin Hu, Haoran Li, Huihao Jing, Qi Hu, Ziqian Zeng, Sirui Han, Heli Xu, Tianshu Chu, Peizhao Hu, Yangqiu Song
2025	B	`conf`	Enhancing Template-Free Retrosynthesis Prediction with Cross-Modal Fine-Grained Contrastive Learning. IJCNN Junqi Zeng, Zelin Yao, Pengyang Song, Jia Wu, Wenbin Hu
2025	J	`jnl`	FP-AbDiff: Improving Score-based Antibody Design by Capturing Nonequilibrium Dynamics through the Underlying Fokker-Planck Equation. CoRR Jiameng Chen, Yida Xiong, Kun Li, Hongzhi Zhang, Xiantao Cai, Wenbin Hu, Jia Wu
2025	J	`jnl`	GSPR: Aligning LLM Safeguards as Generalizable Safety Policy Reasoners. CoRR Haoran Li, Yulin Chen, Jingru Zeng, Hao Peng, Huihao Jing, Wenbin Hu, Xi Yang, Ziqian Zeng, Sirui Han, Yangqiu Song
2025	J	`jnl`	Graph explicit pooling for graph-level representation learning. Neural Networks Chuang Liu, Wenhang Yu, Kuang Gao, Xueqi Ma, Yibing Zhan, Jia Wu, Wenbin Hu, Bo Du
2025	J	`jnl`	Graph-Augmented Reasoning: Evolving Step-by-Step Knowledge Graph Retrieval for LLM Reasoning. CoRR Wenjie Wu, Yongcheng Jing, Yingjie Wang, Wenbin Hu, Dacheng Tao
2025	A	`conf`	Graph-Structured Small Molecule Drug Discovery Through Deep Learning: Progress, Challenges, and Opportunities. ICWS Kun Li, Yida Xiong, Hongzhi Zhang, Xiantao Cai, Jia Wu, Bo Du, Wenbin Hu
2025	J	`jnl`	Knowledge-aware contrastive heterogeneous molecular graph learning. CoRR Mukun Chen, Jia Wu, Shirui Pan, Fu Lin, Bo Du, Xiuwen Gong, Wenbin Hu
2025	J	`jnl`	Knowledge-aware contrastive heterogeneous molecular graph learning. PLoS Comput. Biol. Mukun Chen, Jia Wu, Shirui Pan, Fu Lin, Bo Du, Xiuwen Gong, Wenbin Hu
2025	J	`jnl`	MASLegalBench: Benchmarking Multi-Agent Systems in Deductive Legal Reasoning. CoRR Huihao Jing, Wenbin Hu, Hongyu Luo, Jianhui Yang, Wei Fan, Haoran Li, Yangqiu Song
2025	A*	`conf`	MCIP: Protecting MCP Safety via Model Contextual Integrity Protocol. EMNLP Huihao Jing, Haoran Li, Wenbin Hu, Qi Hu, Heli Xu, Tianshu Chu, Peizhao Hu, Yangqiu Song
2025	J	`jnl`	MCIP: Protecting MCP Safety via Model Contextual Integrity Protocol. CoRR Huihao Jing, Haoran Li, Wenbin Hu, Qi Hu, Heli Xu, Tianshu Chu, Peizhao Hu, Yangqiu Song
2025	J	`jnl`	Multi-view contrastive learning with Static attributes and Dynamic interests for Sequential Recommendation. Appl. Intell. Mukun Chen, Jia Wu, Shirui Pan, Xiantao Cai, Bo Du, Wenbin Hu, Huiting Xu
2025	—	`conf`	PrivaCI-Bench: Evaluating Privacy with Contextual Integrity and Legal Compliance. ACL (1) Haoran Li, Wenbin Hu, Huihao Jing, Yulin Chen, Qi Hu, Sirui Han, Tianshu Chu, Peizhao Hu, Yangqiu Song
2025	J	`jnl`	PrivaCI-Bench: Evaluating Privacy with Contextual Integrity and Legal Compliance. CoRR Haoran Li, Wenbin Hu, Huihao Jing, Yulin Chen, Qi Hu, Sirui Han, Tianshu Chu, Peizhao Hu, Yangqiu Song
2025	J	`jnl`	Safety Compliance: Rethinking LLM Safety Reasoning through the Lens of Compliance. CoRR Wenbin Hu, Huihao Jing, Haochen Shi, Haoran Li, Yangqiu Song
2025	J	`jnl`	Small Molecule Drug Discovery Through Deep Learning:Progress, Challenges, and Opportunities. CoRR Kun Li, Yida Xiong, Hongzhi Zhang, Xiantao Cai, Bo Du, Wenbin Hu
2025	J	`jnl`	State of the Art and Potentialities of Graph-level Learning. ACM Comput. Surv. Zhenyu Yang, Ge Zhang, Jia Wu, Jian Yang, Quan Z. Sheng, Shan Xue, Chuan Zhou, Charu Aggarwal, Hao Peng, Wenbin Hu, Edwin R. Hancock, Pietro Liò
2025	J	`jnl`	Unified Knowledge-Guided Molecular Graph Encoder with multimodal fusion and multi-task learning. Neural Networks Mukun Chen, Xiuwen Gong, Shirui Pan, Jia Wu, Fu Lin, Bo Du, Wenbin Hu
2025	J	`jnl`	Zero-Shot Learning with Subsequence Reordering Pretraining for Compound-Protein Interaction. CoRR Hongzhi Zhang, Zhonglie Liu, Kun Meng, Jiameng Chen, Jia Wu, Bo Du, Di Lin, Yan Che, Wenbin Hu
2024	J	`jnl`	A Comprehensive Survey on Community Detection With Deep Learning. IEEE Trans. Neural Networks Learn. Syst. Xing Su, Shan Xue, Fanzhen Liu, Jia Wu, Jian Yang, Chuan Zhou, Wenbin Hu, Cécile Paris, Surya Nepal, Di Jin, Quan Z. Sheng, Philip S. Yu
2024	J	`jnl`	A Cross-Field Fusion Strategy for Drug-Target Interaction Prediction. CoRR Hongzhi Zhang, Xiuwen Gong, Shirui Pan, Jia Wu, Bo Du, Wenbin Hu
2024	A	`conf`	A Debiased Graph Clustering Approach Using Dual Contrastive Learning. ICWS Kuang Gao, Mukun Chen, Chuang Liu, Shan Xue, Zhenyu Qiu, Ting Ren, Xiaohua Jia, Wenbin Hu
2024	J	`jnl`	Complex query answering over knowledge graphs foundation model using region embeddings on a lie group. World Wide Web (WWW) Zhengyun Zhou, Guojia Wan, Shirui Pan, Jia Wu, Wenbin Hu, Bo Du
2024	J	`jnl`	Comprehensive Graph Gradual Pruning for Sparse Training in Graph Neural Networks. IEEE Trans. Neural Networks Learn. Syst. Chuang Liu, Xueqi Ma, Yibing Zhan, Liang Ding, Dapeng Tao, Bo Du, Wenbin Hu, Danilo P. Mandic
2024	A*	`conf`	Contrastive Learning Drug Response Models from Natural Language Supervision. IJCAI Kun Li, Xiuwen Gong, Jia Wu, Wenbin Hu
2024	J	`jnl`	DA-MoE: Addressing Depth-Sensitivity in Graph-Level Analysis through Mixture of Experts. CoRR Zelin Yao, Chuang Liu, Xianke Meng, Yibing Zhan, Jia Wu, Shirui Pan, Wenbin Hu
2024	J	`jnl`	Dual-perspective Cross Contrastive Learning in Graph Transformers. CoRR Zelin Yao, Chuang Liu, Xueqi Ma, Mukun Chen, Jia Wu, Xiantao Cai, Bo Du, Wenbin Hu
2024	J	`jnl`	Exploring sparsity in graph transformers. Neural Networks Chuang Liu, Yibing Zhan, Xueqi Ma, Liang Ding, Dapeng Tao, Jia Wu, Wenbin Hu, Bo Du
2024	J	`jnl`	Fragment-Masked Molecular Optimization. CoRR Kun Li, Xiantao Cai, Jia Wu, Bo Du, Wenbin Hu
2024	A*	`conf`	Gradformer: Graph Transformer with Exponential Decay. IJCAI Chuang Liu, Zelin Yao, Yibing Zhan, Xueqi Ma, Shirui Pan, Wenbin Hu
2024	J	`jnl`	Gradformer: Graph Transformer with Exponential Decay. CoRR Chuang Liu, Zelin Yao, Yibing Zhan, Xueqi Ma, Shirui Pan, Wenbin Hu
2024	J	`jnl`	Hi-GMAE: Hierarchical Graph Masked Autoencoders. CoRR Chuang Liu, Zelin Yao, Yibing Zhan, Xueqi Ma, Dapeng Tao, Jia Wu, Wenbin Hu, Shirui Pan, Bo Du
2024	J	`jnl`	Node Level Graph Autoencoder: Unified Pretraining for Textual Graph Learning. CoRR Wenbin Hu, Huihao Jing, Qi Hu, Haoran Li, Yangqiu Song
2024	J	`jnl`	Regressor-free Molecule Generation to Support Drug Response Prediction. CoRR Kun Li, Xiuwen Gong, Shirui Pan, Jia Wu, Bo Du, Wenbin Hu
2024	J	`jnl`	Text-Guided Multi-Property Molecular Optimization with a Diffusion Language Model. CoRR Yida Xiong, Kun Li, Weiwei Liu, Jia Wu, Bo Du, Shirui Pan, Wenbin Hu
2024	J	`jnl`	Towards a better negative sampling strategy for dynamic graphs. Neural Networks Kuang Gao, Chuang Liu, Jia Wu, Bo Du, Wenbin Hu
2024	—	`conf`	WARM: An Interpretability Module with Weighted Association Rule Mining for Recommendation Systems. ICIC (LNAI 1) Haifeng Zhu, Fu Lin, Wenbin Hu
2024	A*	`conf`	Where to Mask: Structure-Guided Masking for Graph Masked Autoencoders. IJCAI Chuang Liu, Yuyao Wang, Yibing Zhan, Xueqi Ma, Dapeng Tao, Jia Wu, Wenbin Hu
2024	J	`jnl`	Where to Mask: Structure-Guided Masking for Graph Masked Autoencoders. CoRR Chuang Liu, Yuyao Wang, Yibing Zhan, Xueqi Ma, Dapeng Tao, Jia Wu, Wenbin Hu
2024	A*	`conf`	Zero-shot Learning for Preclinical Drug Screening. IJCAI Kun Li, Weiwei Liu, Yong Luo, Xiantao Cai, Jia Wu, Wenbin Hu
2023	J	`jnl`	A Comprehensive Survey of Graph-level Learning. CoRR Zhenyu Yang, Ge Zhang, Jia Wu, Jian Yang, Quan Z. Sheng, Shan Xue, Chuan Zhou, Charu C. Aggarwal, Hao Peng, Wenbin Hu, Edwin R. Hancock, Pietro Liò
2023	J	`jnl`	CLDR: Contrastive Learning Drug Response Models from Natural Language Supervision. CoRR Kun Li, Wenbin Hu
2023	A	`conf`	CLNode: Curriculum Learning for Node Classification. WSDM Xiaowen Wei, Xiuwen Gong, Yibing Zhan, Bo Du, Yong Luo, Wenbin Hu
2023	J	`jnl`	Careful Selection and Thoughtful Discarding: Graph Explicit Pooling Utilizing Discarded Nodes. CoRR Chuang Liu, Wenhang Yu, Kuang Gao, Xueqi Ma, Yibing Zhan, Jia Wu, Bo Du, Wenbin Hu
2023	J	`jnl`	Exploring Sparsity in Graph Transformers. CoRR Chuang Liu, Yibing Zhan, Xueqi Ma, Liang Ding, Dapeng Tao, Jia Wu, Wenbin Hu, Bo Du
2023	A*	`conf`	Gapformer: Graph Transformer with Graph Pooling for Node Classification. IJCAI Chuang Liu, Yibing Zhan, Xueqi Ma, Liang Ding, Dapeng Tao, Jia Wu, Wenbin Hu
2023	A*	`conf`	Graph Pooling for Graph Neural Networks: Progress, Challenges, and Opportunities. IJCAI Chuang Liu, Yibing Zhan, Jia Wu, Chang Li, Bo Du, Wenbin Hu, Tongliang Liu, Dacheng Tao
2023	J	`jnl`	Graph structure reforming framework enhanced by commute time distance for graph classification. Neural Networks Wenhang Yu, Xueqi Ma, James Bailey, Yibing Zhan, Jia Wu, Bo Du, Wenbin Hu
2023	J	`jnl`	On Exploring Node-feature and Graph-structure Diversities for Node Drop Graph Pooling. CoRR Chuang Liu, Yibing Zhan, Baosheng Yu, Liu Liu, Bo Du, Wenbin Hu, Tongliang Liu
2023	J	`jnl`	On exploring node-feature and graph-structure diversities for node drop graph pooling. Neural Networks Chuang Liu, Yibing Zhan, Baosheng Yu, Liu Liu, Bo Du, Wenbin Hu, Tongliang Liu
2023	B	`conf`	Prompt-Learning for Cross-Lingual Relation Extraction. IJCNN Chiaming Hsu, Changtong Zan, Liang Ding, Longyue Wang, Xiaoting Wang, Weifeng Liu, Fu Lin, Wenbin Hu
2023	J	`jnl`	Prompt-Learning for Cross-Lingual Relation Extraction. CoRR Chiaming Hsu, Changtong Zan, Liang Ding, Longyue Wang, Xiaoting Wang, Weifeng Liu, Fu Lin, Wenbin Hu
2023	A	`conf`	Relation Preference Oriented High-order Sampling for Recommendation. WSDM Mukun Chen, Xiuwen Gong, YH Jin, Wenbin Hu
2023	J	`jnl`	Signed Network Representation by Preserving Multi-Order Signed Proximity. IEEE Trans. Knowl. Data Eng. Pinghua Xu, Wenbin Hu, Jia Wu, Weiwei Liu, Yang Yang, Philip S. Yu
2023	—	`conf`	Spatially Invariant and Frequency-Aware CycleGAN for Unsupervised MR-to-CT Synthesis. ICANN (9) Shuang Song, Jun Zhang, Wenbin Hu, Yong Luo, Xin Zhou
2023	J	`jnl`	Task Variance Regularized Multi-Task Learning. IEEE Trans. Knowl. Data Eng. Yuren Mao, Zekai Wang, Weiwei Liu, Xuemin Lin, Wenbin Hu
2023	J	`jnl`	Temporal Link Prediction With Motifs for Social Networks. IEEE Trans. Knowl. Data Eng. Zhenyu Qiu, Jia Wu, Wenbin Hu, Bo Du, Guocai Yuan, Philip S. Yu
2023	J	`jnl`	Zero-shot Learning of Drug Response Prediction for Preclinical Drug Screening. CoRR Kun Li, Yong Luo, Xiantao Cai, Wenbin Hu, Bo Du
2022	J	`jnl`	CLNode: Curriculum Learning for Node Classification. CoRR Xiaowen Wei, Weiwei Liu, Yibing Zhan, Bo Du, Wenbin Hu
2022	J	`jnl`	Comprehensive Graph Gradual Pruning for Sparse Training in Graph Neural Networks. CoRR Chuang Liu, Xueqi Ma, Yibing Zhan, Liang Ding, Dapeng Tao, Bo Du, Wenbin Hu, Danilo P. Mandic
2022	A*	`conf`	Dual-branch Density Ratio Estimation for Signed Network Embedding. WWW Pinghua Xu, Yibing Zhan, Liu Liu, Baosheng Yu, Bo Du, Jia Wu, Wenbin Hu
2022	J	`jnl`	Graph Pooling for Graph Neural Networks: Progress, Challenges, and Opportunities. CoRR Chuang Liu, Yibing Zhan, Chang Li, Bo Du, Jia Wu, Wenbin Hu, Tongliang Liu, Dacheng Tao
2022	J	`jnl`	Graph-level Neural Networks: Current Progress and Future Directions. CoRR Ge Zhang, Jia Wu, Jian Yang, Shan Xue, Wenbin Hu, Chuan Zhou, Hao Peng, Quan Z. Sheng, Charu Aggarwal
2022	—	`conf`	Masked Graph Auto-Encoder Constrained Graph Pooling. ECML/PKDD (2) Chuang Liu, Yibing Zhan, Xueqi Ma, Dapeng Tao, Bo Du, Wenbin Hu
2022	J	`jnl`	Signed network representation with novel node proximity evaluation. Neural Networks Pinghua Xu, Wenbin Hu, Jia Wu, Weiwei Liu
2022	J	`jnl`	TransEDRP: Dual Transformer model with Edge Emdedded for Drug Respond Prediction. CoRR Kun Li, Jia Wu, Bo Du, Sergey V. Petoukhov, Huiting Xu, Zheman Xiao, Wenbin Hu
2021	J	`jnl`	A Comprehensive Survey on Community Detection with Deep Learning. CoRR Xing Su, Shan Xue, Fanzhen Liu, Jia Wu, Jian Yang, Chuan Zhou, Wenbin Hu, Cécile Paris, Surya Nepal, Di Jin, Quan Z. Sheng, Philip S. Yu
2021	—	`conf`	BanditMTL: Bandit-based Multi-task Learning for Text Classification. ACL/IJCNLP (1) Yuren Mao, Zekai Wang, Weiwei Liu, Xuemin Lin, Wenbin Hu
2021	J	`jnl`	Enhancing Graph Neural Networks by a High-quality Aggregation of Beneficial Information. Neural Networks Chuang Liu, Jia Wu, Weiwei Liu, Wenbin Hu
2021	B	`conf`	Social Trust Network Embedding with Hash and Graphlet. IJCNN Zongzhao Xie, Wenbin Hu
2021	J	`jnl`	Urban Traffic Route Guidance Method With High Adaptive Learning Ability Under Diverse Traffic Scenarios. IEEE Trans. Intell. Transp. Syst. Chuanhui Tang, Wenbin Hu, Simon Hu, Marc E. J. Stettler
2020	A*	`conf`	Deep Learning for Community Detection: Progress, Challenges and Opportunities. IJCAI Fanzhen Liu, Shan Xue, Jia Wu, Chuan Zhou, Wenbin Hu, Cécile Paris, Surya Nepal, Jian Yang, Philip S. Yu
2020	J	`jnl`	Deep Learning for Community Detection: Progress, Challenges and Opportunities. CoRR Fanzhen Liu, Shan Xue, Jia Wu, Chuan Zhou, Wenbin Hu, Cécile Paris, Surya Nepal, Jian Yang, Philip S. Yu
2020	A*	`conf`	Opinion Maximization in Social Trust Networks. IJCAI Pinghua Xu, Wenbin Hu, Jia Wu, Weiwei Liu
2020	J	`jnl`	Opinion Maximization in Social Trust Networks. CoRR Pinghua Xu, Wenbin Hu, Jia Wu, Weiwei Liu
2020	A*	`conf`	Temporal Network Embedding with High-Order Nonlinear Information. AAAI Zhenyu Qiu, Wenbin Hu, Jia Wu, Weiwei Liu, Bo Du, Xiaohua Jia
2019	A*	`conf`	DeepTrust: A Deep User Model of Homophily Effect for Trust Prediction. ICDM Qi Wang, Weiliang Zhao, Jian Yang, Jia Wu, Wenbin Hu, Qianli Xing
2019	J	`jnl`	Detecting and Assessing Anomalous Evolutionary Behaviors of Nodes in Evolving Social Networks. ACM Trans. Knowl. Discov. Data Huan Wang, Jia Wu, Wenbin Hu, Xindong Wu
2019	J	`jnl`	IQGA: A route selection method based on quantum genetic algorithm- toward urban traffic management under big data environment. World Wide Web Yuefei Tian, Wenbin Hu, Bo Du, Simon Hu, Cong Nie, Cheng Zhang
2019	A*	`conf`	Link Prediction with Signed Latent Factors in Signed Social Networks. KDD Pinghua Xu, Wenbin Hu, Jia Wu, Bo Du
2019	A*	`conf`	Noise-Resilient Similarity Preserving Network Embedding for Social Networks. IJCAI Zhenyu Qiu, Wenbin Hu, Jia Wu, Zhongzheng Tang, Xiaohua Jia
2019	J	`jnl`	OCSM: an optimized channel split method - towards real-time and on-demand data broadcast scheduling. Wirel. Networks Wenbin Hu, Zhenyu Qiu, Cong Nie, Fu Lin
2019	J	`jnl`	SALA: A Self-Adaptive Learning Algorithm - Towards Efficient Dynamic Route Guidance in Urban Traffic Networks. Neural Process. Lett. Liping Yan, Wenbin Hu, Simon Hu
2019	—	`conf`	SPUNTB: A Stowage Planning via the Unified Neutral Theory of Biodiversity and Biogeography. ICEBE Zongzhao Xie, Wenbin Hu
2019	A*	`conf`	Social Trust Network Embedding. ICDM Pinghua Xu, Wenbin Hu, Jia Wu, Weiwei Liu, Bo Du, Jian Yang
2018	J	`jnl`	A quantum particle swarm optimization driven urban traffic light scheduling model. Neural Comput. Appl. Wenbin Hu, Huan Wang, Zhenyu Qiu, Cong Nie, Liping Yan
2018	J	`jnl`	An Event Detection Method for Social Networks Based on Evolution Fluctuations of Nodes. IEEE Access Huan Wang, Wenbin Hu, Zhenyu Qiu, Bi Wu
2018	J	`jnl`	An urban traffic simulation model for traffic congestion predicting and avoiding. Neural Comput. Appl. Wenbin Hu, Huan Wang, Zhenyu Qiu, Liping Yan, Cong Nie, Bo Du
2018	J	`jnl`	Channel dynamic adjustment in data broadcast. World Wide Web Wenbin Hu, Zhenyu Qiu, Cong Nie, Bo Du
2018	J	`jnl`	RPPM: A Request Pre-Processing Method for Real-Time On-Demand Data Broadcast Scheduling. IEEE Trans. Mob. Comput. Zhenyu Qiu, Wenbin Hu, Bo Du
2018	A*	`conf`	Self-Representative Manifold Concept Factorization with Adaptive Neighbors for Clustering. IJCAI Sihan Ma, Lefei Zhang, Wenbin Hu, Yipeng Zhang, Jia Wu, Xuelong Li
2017	J	`jnl`	An event detection method for social networks based on hybrid link prediction and quantum swarm intelligent. World Wide Web Wenbin Hu, Huan Wang, Zhenyu Qiu, Cong Nie, Liping Yan, Bo Du
2017	J	`jnl`	Nodes' Evolution Diversity and Link Prediction in Social Networks. IEEE Trans. Knowl. Data Eng. Huan Wang, Wenbin Hu, Zhenyu Qiu, Bo Du
2017	J	`jnl`	Real-time traffic jams prediction inspired by Biham, Middleton and Levine (BML) model. Inf. Sci. Wenbin Hu, Liping Yan, Huan Wang, Bo Du, Dacheng Tao
2016	J	`jnl`	A Real-time scheduling algorithm for on-demand wireless XML data broadcasting. J. Netw. Comput. Appl. Wenbin Hu, Zhenyu Qiu, Huan Wang, Liping Yan
2016	J	`jnl`	A Short-term Traffic Flow Forecasting Method Based on the Hybrid PSO-SVR. Neural Process. Lett. Wenbin Hu, Liping Yan, Kaizeng Liu, Huan Wang
2016	J	`jnl`	A minimal Munsell value error based laser printer model. Neurocomputing Juhua Liu, Hai Su, Wenbin Hu, Lefei Zhang, Dacheng Tao
2016	J	`jnl`	A swarm intelligent method for traffic light scheduling: application to real urban traffic networks. Appl. Intell. Wenbin Hu, Huan Wang, Liping Yan, Bo Du
2016	J	`jnl`	Robust text detection via multi-degree of sharpening and blurring. Signal Process. Juhua Liu, Hai Su, Yaohua Yi, Wenbin Hu
2015	—	`conf`	A Hybrid Cellular Automaton Mechanism Inspired Approach for Dynamic and Real-Time Traffic Lights Scheduling. UIC/ATC/ScalCom Wenbin Hu, Huan Wang, Liping Yan, Bo Du
2015	J	`jnl`	An on-demand data broadcasting scheduling algorithm based on dynamic index strategy. Wirel. Commun. Mob. Comput. Wenbin Hu, Cunlian Fan, Jiajia Luo, Chao Peng, Bo Du
2015	J	`jnl`	An on-demanded data broadcasting scheduling considering the data item size. Wirel. Networks Wenbin Hu, Chang Xia, Bo Du, Min Wu
2015	J	`jnl`	An outer-inner fuzzy cellular automata algorithm for dynamic uncertainty multi-project scheduling problem. Soft Comput. Wenbin Hu, Huan Wang, Chao Peng, Huang Wang, Huangle Liang, Bo Du
2015	C	`conf`	Batch Mode Active Learning for Geographical Image Classification. APWeb Zengmao Wang, Bo Du, Lefei Zhang, Wenbin Hu, Dacheng Tao, Liangpei Zhang
2015	—	`conf`	On Exploring a Quantum Particle Swarm Optimization Method for Urban Traffic Light Scheduling. ICA3PP (4) Wenbin Hu, Huan Wang, Liping Yan, Bo Du
2015	—	`conf`	On Exploring a Virtual Agent Negotiation Inspired Approach for Route Guidance in Urban Traffic Networks. ICA3PP (3) Wenbin Hu, Liping Yan, Huan Wang, Bo Du
2015	B	`conf`	PSO-SVR: A Hybrid Short-term Traffic Flow Forecasting Method. ICPADS Wenbin Hu, Liping Yan, Kaizeng Liu, Huan Wang
2014	—	`conf`	A Novel Petri-Net Based Resource Constrained Multi-project Scheduling Method. ICA3PP (1) Wenbin Hu, Huan Wang
2014	J	`jnl`	A novel algorithm based on the unified neutral theory of biodiversity and biogeography model for block allocation of outbound container. Int. J. Comput. Integr. Manuf. Wenbin Hu, Zhenyu Min, Bo Du
2014	J	`jnl`	A storage allocation algorithm for outbound containers based on the outer-inner cellular automaton. Inf. Sci. Wenbin Hu, Huan Wang, Zhenyu Min
2014	—	`conf`	An actual urban traffic simulation model for predicting and avoiding traffic congestion. ITSC Wenbin Hu, Huan Wang, Liping Yan
2014	—	`conf`	Traffic jams prediction method based on two-dimension cellular automata model. ITSC Wenbin Hu, Liping Yan, Huan Wang
2013	J	`jnl`	A Hybrid Chaos-Particle Swarm Optimization Algorithm for the Vehicle Routing Problem with Time Window. Entropy Wenbin Hu, Huanle Liang, Chao Peng, Bo Du, Qi Hu
2012	—	`conf`	Yard Allocation for Outbound Containers Based on the Unified Neutral Theory of Biodiversity and Biogeography. AICI Zhenyu Min, Wenbin Hu, Long Xu, Chang Xia, Kaikai Wang
2008	—	`conf`	An improved TCP congestion control mechanism based on double-windows for wireless network. ISWPC Fu Lin, Deng-Yi Zhang, Wenbin Hu
2007	—	`conf`	Scheduling and Optimization of Dynamic Complex Discrete Events Based on Ant Colony Optimization. ICNC (3) Wenbin Hu, Fu Lin, Deng-Yi Zhang