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Binbin Hu

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2024
[j14]
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Binbin Hu, Pan Zhou, Hongfang Yu, Yueyue Dai, Ming Wang, Shengbo Tan, Ying Sun:
LeaNet: Lightweight U-shaped architecture for high-performance skin cancer image segmentation. Comput. Biol. Medicine 169: 107919 (2024)
[j13]
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Ziyang Meng, Hao Li, Xiaoya Cui, Binbin Hu, Yonglei Jiang, Tao Wang, Yi Chen:
Integrating Curing Experience and Fluctuating Leaf Quality in an Intelligent End-Cloud Collaboration. J. Circuits Syst. Comput. 33(5): 2430002:1-2430002:16 (2024)
[c58]
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Borui Ye, Shuo Yang, Meiqi Zhu, Binbin Hu, Daixin Wang, Zhiqiang Zhang, Youqiang He, Zhiyang Hu, Huimei He, Jun Zhou:
Granola: Graph Neural Network Tackling Tabular Data for Online Loan Default Prediction. DASFAA (7) 2024: 436-440
[c57]
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Yakun Wang, Daixin Wang, Hongrui Liu, Binbin Hu, Yingcui Yan, Qiyang Zhang, Zhiqiang Zhang:
Optimizing Long-tailed Link Prediction in Graph Neural Networks through Structure Representation Enhancement. KDD 2024: 3222-3232
[c56]
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Zhicheng An, Zhexu Gu, Li Yu, Ke Tu, Zhengwei Wu, Binbin Hu, Zhiqiang Zhang, Lihong Gu, Jinjie Gu:
DDCDR: A Disentangle-based Distillation Framework for Cross-Domain Recommendation. KDD 2024: 4764-4773
[c55]
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Junjie Wang, Dan Yang, Binbin Hu, Yue Shen, Wen Zhang, Jinjie Gu:
Know Your Needs Better: Towards Structured Understanding of Marketer Demands with Analogical Reasoning Augmented LLMs. KDD 2024: 5860-5871
[c54]
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Changxin Tian, Binbin Hu, Chunjing Gan, Haoyu Chen, Zhuo Zhang, Li Yu, Ziqi Liu, Zhiqiang Zhang, Jun Zhou, Jiawei Chen:
ReLand: Integrating Large Language Models' Insights into Industrial Recommenders via a Controllable Reasoning Pool. RecSys 2024: 63-73
[c53]
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Yichi Zhang, Zhuo Chen, Lingbing Guo, Yajing Xu, Binbin Hu, Ziqi Liu, Wen Zhang, Huajun Chen:
NativE: Multi-modal Knowledge Graph Completion in the Wild. SIGIR 2024: 91-101
[c52]
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Chunjing Gan, Bo Huang, Binbin Hu, Jian Ma, Zhiqiang Zhang, Jun Zhou, Guannan Zhang, Wenliang Zhong:
PEACE: Prototype lEarning Augmented transferable framework for Cross-domain rEcommendation. WSDM 2024: 228-237
[c51]
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Yakun Wang, Binbin Hu, Shuo Yang, Meiqi Zhu, Zhiqiang Zhang, Qiyang Zhang, Jun Zhou, Guo Ye, Huimei He:
Not All Negatives Are Worth Attending to: Meta-Bootstrapping Negative Sampling Framework for Link Prediction. WSDM 2024: 760-768
[c50]
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Yuling Wang, Changxin Tian, Binbin Hu, Yanhua Yu, Ziqi Liu, Zhiqiang Zhang, Jun Zhou, Liang Pang, Xiao Wang:
Can Small Language Models be Good Reasoners for Sequential Recommendation? WWW 2024: 3876-3887
[i34]
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  - journals/corr/abs-2401-04319
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Junjie Wang, Dan Yang, Binbin Hu, Yue Shen, Ziqi Liu, Wen Zhang, Jinjie Gu, Zhiqiang Zhang:
Know Your Needs Better: Towards Structured Understanding of Marketer Demands with Analogical Reasoning Augmented LLMs. CoRR abs/2401.04319 (2024)
[i33]
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  - journals/corr/abs-2403-04260
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Yuling Wang, Changxin Tian, Binbin Hu, Yanhua Yu, Ziqi Liu, Zhiqiang Zhang, Jun Zhou, Liang Pang, Xiao Wang:
Can Small Language Models be Good Reasoners for Sequential Recommendation? CoRR abs/2403.04260 (2024)
[i32]
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  - journals/corr/abs-2404-09468
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Yichi Zhang, Zhuo Chen, Lingbing Guo, Yajing Xu, Binbin Hu, Ziqi Liu, Huajun Chen, Wen Zhang:
MyGO: Discrete Modality Information as Fine-Grained Tokens for Multi-modal Knowledge Graph Completion. CoRR abs/2404.09468 (2024)
[i31]
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Siyi Lin, Chongming Gao, Jiawei Chen, Sheng Zhou, Binbin Hu, Can Wang:
How Do Recommendation Models Amplify Popularity Bias? An Analysis from the Spectral Perspective. CoRR abs/2404.12008 (2024)
[i30]
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  - journals/corr/abs-2405-13085
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Yichi Zhang, Binbin Hu, Zhuo Chen, Lingbing Guo, Ziqi Liu, Zhiqiang Zhang, Lei Liang, Huajun Chen, Wen Zhang:
Multi-domain Knowledge Graph Collaborative Pre-training and Prompt Tuning for Diverse Downstream Tasks. CoRR abs/2405.13085 (2024)
[i29]
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  - journals/corr/abs-2405-16869
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Yichi Zhang, Zhuo Chen, Lingbing Guo, Yajing Xu, Binbin Hu, Ziqi Liu, Wen Zhang, Huajun Chen:
Mixture of Modality Knowledge Experts for Robust Multi-modal Knowledge Graph Completion. CoRR abs/2405.16869 (2024)
[i28]
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  - journals/corr/abs-2405-17132
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Chunjing Gan, Binbin Hu, Bo Huang, Ziqi Liu, Jian Ma, Zhiqiang Zhang, Wenliang Zhong, Jun Zhou:
Your decision path does matter in pre-training industrial recommenders with multi-source behaviors. CoRR abs/2405.17132 (2024)
[i27]
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  - journals/corr/abs-2405-19893
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Chunjing Gan, Dan Yang, Binbin Hu, Hanxiao Zhang, Siyuan Li, Ziqi Liu, Yue Shen, Lin Ju, Zhiqiang Zhang, Jinjie Gu, Lei Liang, Jun Zhou:
Similarity is Not All You Need: Endowing Retrieval Augmented Generation with Multi Layered Thoughts. CoRR abs/2405.19893 (2024)
[i26]
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  - journals/corr/abs-2406-14282
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Junjie Wang, Mingyang Chen, Binbin Hu, Dan Yang, Ziqi Liu, Yue Shen, Peng Wei, Zhiqiang Zhang, Jinjie Gu, Jun Zhou, Jeff Z. Pan, Wen Zhang, Huajun Chen:
Learning to Plan for Retrieval-Augmented Large Language Models from Knowledge Graphs. CoRR abs/2406.14282 (2024)
[i25]
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Yichi Zhang, Zhuo Chen, Lingbing Guo, Yajing Xu, Binbin Hu, Ziqi Liu, Wen Zhang, Huajun Chen:
NativE: Multi-modal Knowledge Graph Completion in the Wild. CoRR abs/2406.17605 (2024)
[i24]
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  - journals/corr/abs-2407-16959
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Zhe Wang, Sheng Zhou, Jiawei Chen, Zhen Zhang, Binbin Hu, Yan Feng, Chun Chen, Can Wang:
Dynamic Graph Transformer with Correlated Spatial-Temporal Positional Encoding. CoRR abs/2407.16959 (2024)
[i23]
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  - journals/corr/abs-2407-20499
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Yakun Wang, Daixin Wang, Hongrui Liu, Binbin Hu, Yingcui Yan, Qiyang Zhang, Zhiqiang Zhang:
Optimizing Long-tailed Link Prediction in Graph Neural Networks through Structure Representation Enhancement. CoRR abs/2407.20499 (2024)
[i22]
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  - journals/corr/abs-2408-00496
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Shengbo Tan, Zeyu Zhang, Ying Cai, Daji Ergu, Lin Wu, Binbin Hu, Pengzhang Yu, Yang Zhao:
SegStitch: Multidimensional Transformer for Robust and Efficient Medical Imaging Segmentation. CoRR abs/2408.00496 (2024)
[i21]
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  - journals/corr/abs-2409-14028
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Guohui Cai, Ying Cai, Zeyu Zhang, Daji Ergu, Yuanzhouhan Cao, Binbin Hu, Zhibin Liao, Yang Zhao:
MSDet: Receptive Field Enhanced Multiscale Detection for Tiny Pulmonary Nodule. CoRR abs/2409.14028 (2024)
[i20]
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  - journals/corr/abs-2409-19574
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Binbin Hu, Weifan Wang, Hanshu Wang, Ziqi Liu, Bin Shen, Yong He, Jiawei Chen:
The Devil is in the Sources! Knowledge Enhanced Cross-Domain Recommendation in an Information Bottleneck Perspective. CoRR abs/2409.19574 (2024)
2023
[j12]
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Binbin Hu, Ziyang Meng, Yi Chen, Yonglei Jiang, Chunwei Chang, Zengxiang Ke, Jun Chen, Hao Li:
Intelligent and Accurate Tobacco Curing via Image Recognition and Data Analysis. J. Circuits Syst. Comput. 32(16): 2330007:1-2330007:23 (2023)
[c49]
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  - conf/aaai/SunGHDLCM23
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Caiqi Sun, Jiewei Gu, Binbin Hu, Xin Dong, Hai Li, Lei Cheng, Linjian Mo:
REMIT: Reinforced Multi-Interest Transfer for Cross-Domain Recommendation. AAAI 2023: 9900-9908
[c48]
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Changxin Tian, Binbin Hu, Wayne Xin Zhao, Zhiqiang Zhang, Jun Zhou:
Periodicity May Be Emanative: Hierarchical Contrastive Learning for Sequential Recommendation. CIKM 2023: 2442-2451
[c47]
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Ke Tu, Zhengwei Wu, Binbin Hu, Zhiqiang Zhang, Peng Cui, Xiaolong Li, Jun Zhou:
A Scalable Social Recommendation Framework with Decoupled Graph Neural Network. DASFAA (4) 2023: 519-531
[c46]
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Yangyang Hou, Daixin Wang, Binbin Hu, Ruoyu Zhuang, Zhiqiang Zhang, Jun Zhou, Feng Zhao, Yulin Kang, Zhanwen Qiao:
Unsupervised Fraud Transaction Detection on Dynamic Attributed Networks. DASFAA (4) 2023: 544-555
[c45]
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Weifan Wang, Binbin Hu, Zhicheng Peng, Mingjie Zhong, Zhiqiang Zhang, Zhongyi Liu, Guannan Zhang, Jun Zhou:
GARCIA: Powering Representations of Long-tail Query with Multi-granularity Contrastive Learning. ICDE 2023: 3182-3195
[c44]
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Dalong Zhang, Xianzheng Song, Zhiyang Hu, Yang Li, Miao Tao, Binbin Hu, Lin Wang, Zhiqiang Zhang, Jun Zhou:
InferTurbo: A Scalable System for Boosting Full-graph Inference of Graph Neural Network over Huge Graphs. ICDE 2023: 3235-3247
[c43]
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Dan Yang, Binbin Hu, Xiaoyan Yang, Yue Shen, Zhiqiang Zhang, Jinjie Gu, Guannan Zhang:
Who Would be Interested in Services? An Entity Graph Learning System for User Targeting. ICDE 2023: 3248-3254
[c42]
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Xiaoling Zang, Binbin Hu, Jun Chu, Zhiqiang Zhang, Guannan Zhang, Jun Zhou, Wenliang Zhong:
Commonsense Knowledge Graph towards Super APP and Its Applications in Alipay. KDD 2023: 5509-5519
[c41]
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Chunjing Gan, Binbin Hu, Bo Huang, Tianyu Zhao, Yingru Lin, Wenliang Zhong, Zhiqiang Zhang, Jun Zhou, Chuan Shi:
Which Matters Most in Making Fund Investment Decisions? A Multi-granularity Graph Disentangled Learning Framework. SIGIR 2023: 2516-2520
[c40]
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Sicong Xie, Binbin Hu, Fengze Li, Ziqi Liu, Zhiqiang Zhang, Wenliang Zhong, Jun Zhou:
COUPA: An Industrial Recommender System for Online to Offline Service Platforms. SIGIR 2023: 3235-3239
[c39]
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Xiaoyan Yang, Dong Wang, Binbin Hu, Dan Yang, Yue Shen, Jinjie Gu, Zhiqiang Zhang, Shiwei Lyu, Haipeng Zhang, Guannan Zhang:
Movie Ticket, Popcorn, and Another Movie Next Weekend: Time-Aware Service Sequential Recommendation for User Retention. WWW (Companion Volume) 2023: 361-365
[i19]
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  - journals/corr/abs-2304-12537
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Weifan Wang, Binbin Hu, Zhicheng Peng, Mingjie Zhong, Zhiqiang Zhang, Zhongyi Liu, Guannan Zhang, Jun Zhou:
GARCIA: Powering Representations of Long-tail Query with Multi-granularity Contrastive Learning. CoRR abs/2304.12537 (2023)
[i18]
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  - journals/corr/abs-2304-12549
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Sicong Xie, Binbin Hu, Fengze Li, Ziqi Liu, Zhiqiang Zhang, Wenliang Zhong, Jun Zhou:
COUPA: An Industrial Recommender System for Online to Offline Service Platforms. CoRR abs/2304.12549 (2023)
[i17]
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  - journals/corr/abs-2305-18780
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Dan Yang, Binbin Hu, Xiaoyan Yang, Yue Shen, Zhiqiang Zhang, Jinjie Gu, Guannan Zhang:
Who Would be Interested in Services? An Entity Graph Learning System for User Targeting. CoRR abs/2305.18780 (2023)
[i16]
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  - journals/corr/abs-2307-00228
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Dalong Zhang, Xianzheng Song, Zhiyang Hu, Yang Li, Miao Tao, Binbin Hu, Lin Wang, Zhiqiang Zhang, Jun Zhou:
InferTurbo: A Scalable System for Boosting Full-graph Inference of Graph Neural Network over Huge Graphs. CoRR abs/2307.00228 (2023)
[i15]
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  - journals/corr/abs-2311-08719
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Lei Liu, Xiaoyan Yang, Yue Shen, Binbin Hu, Zhiqiang Zhang, Jinjie Gu, Guannan Zhang:
Think-in-Memory: Recalling and Post-thinking Enable LLMs with Long-Term Memory. CoRR abs/2311.08719 (2023)
[i14]
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Chunjing Gan, Binbin Hu, Bo Huang, Tianyu Zhao, Yingru Lin, Wenliang Zhong, Zhiqiang Zhang, Jun Zhou, Chuan Shi:
Which Matters Most in Making Fund Investment Decisions? A Multi-granularity Graph Disentangled Learning Framework. CoRR abs/2311.13864 (2023)
[i13]
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Chunjing Gan, Bo Huang, Binbin Hu, Jian Ma, Ziqi Liu, Zhiqiang Zhang, Jun Zhou, Guannan Zhang, Wenliang Zhong:
PEACE: Prototype lEarning Augmented transferable framework for Cross-domain rEcommendation. CoRR abs/2312.01916 (2023)
[i12]
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Yakun Wang, Binbin Hu, Shuo Yang, Meiqi Zhu, Zhiqiang Zhang, Qiyang Zhang, Jun Zhou, Guo Ye, Huimei He:
Not All Negatives Are Worth Attending to: Meta-Bootstrapping Negative Sampling Framework for Link Prediction. CoRR abs/2312.04815 (2023)
[i11]
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Chunjing Gan, Dan Yang, Binbin Hu, Ziqi Liu, Yue Shen, Zhiqiang Zhang, Jinjie Gu, Jun Zhou, Guannan Zhang:
Making Large Language Models Better Knowledge Miners for Online Marketing with Progressive Prompting Augmentation. CoRR abs/2312.05276 (2023)
2022
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Binbin Hu, Zhiyong Chen, Hai-Tao Zhang:
Distributed Moving Target Fencing in a Regular Polygon Formation. IEEE Trans. Control. Netw. Syst. 9(1): 210-218 (2022)
[j10]
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Binbin Hu, Hai-Tao Zhang, Bin Liu, Haofei Meng, Guanrong Chen:
Distributed Surrounding Control of Multiple Unmanned Surface Vessels With Varying Interconnection Topologies. IEEE Trans. Control. Syst. Technol. 30(1): 400-407 (2022)
[j9]
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Binbin Hu, Hai-Tao Zhang:
Bearing-Only Motional Target-Surrounding Control for Multiple Unmanned Surface Vessels. IEEE Trans. Ind. Electron. 69(4): 3988-3997 (2022)
[j8]
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Bowen Xu, Hai-Tao Zhang, Haofei Meng, Binbin Hu, Duxin Chen, Guanrong Chen:
Moving Target Surrounding Control of Linear Multiagent Systems With Input Saturation. IEEE Trans. Syst. Man Cybern. Syst. 52(3): 1705-1715 (2022)
[c38]
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Deyu Bo, Binbin Hu, Xiao Wang, Zhiqiang Zhang, Chuan Shi, Jun Zhou:
Regularizing Graph Neural Networks via Consistency-Diversity Graph Augmentations. AAAI 2022: 3913-3921
[c37]
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Weifan Wang, Xiaocheng Cheng, Ziqi Liu, Yu Lin, Yue Shen, Binbin Hu, Zhiqiang Zhang, Xiaodong Zeng, Jun Zhou, Jinjie Gu, Minnan Luo:
Intent Mining: A Social and Semantic Enhanced Topic Model for Operation-Friendly Digital Marketing. ICDE 2022: 3254-3267
[c36]
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Borui Ye, Shuo Yang, Binbin Hu, Zhiqiang Zhang, Youqiang He, Kai Huang, Jun Zhou, Yanming Fang:
Gaia: Graph Neural Network with Temporal Shift aware Attention for Gross Merchandise Value Forecast in E-commerce. ICDE 2022: 3320-3326
[c35]
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Binbin Hu, Zhengwei Wu, Jun Zhou, Ziqi Liu, Zhigang Huangfu, Zhiqiang Zhang, Chaochao Chen:
MERIT: Learning Multi-level Representations on Temporal Graphs. IJCAI 2022: 2073-2079
[c34]
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Binbin Hu, Bin Shen, Ruize Wu, Zhiqiang Zhang, Yuetian Cao, Yong He, Liang Zhang, Linjian Mo, Jun Zhou:
Mixture of Graph Enhanced Expert Networks for Multi-task Recommendation. PRICAI (3) 2022: 3-16
[c33]
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Yupeng Hou, Binbin Hu, Wayne Xin Zhao, Zhiqiang Zhang, Jun Zhou, Ji-Rong Wen:
Neural Graph Matching for Pre-training Graph Neural Networks. SDM 2022: 172-180
[c32]
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Yupeng Hou, Binbin Hu, Zhiqiang Zhang, Wayne Xin Zhao:
CORE: Simple and Effective Session-based Recommendation within Consistent Representation Space. SIGIR 2022: 1796-1801
[c31]
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Hongrui Liu, Binbin Hu, Xiao Wang, Chuan Shi, Zhiqiang Zhang, Jun Zhou:
Confidence May Cheat: Self-Training on Graph Neural Networks under Distribution Shift. WWW 2022: 1248-1258
[i10]
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Hongrui Liu, Binbin Hu, Xiao Wang, Chuan Shi, Zhiqiang Zhang, Jun Zhou:
Confidence May Cheat: Self-Training on Graph Neural Networks under Distribution Shift. CoRR abs/2201.11349 (2022)
[i9]
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Yupeng Hou, Binbin Hu, Wayne Xin Zhao, Zhiqiang Zhang, Jun Zhou, Ji-Rong Wen:
Neural Graph Matching for Pre-training Graph Neural Networks. CoRR abs/2203.01597 (2022)
[i8]
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Qian Zhao, Shuo Yang, Binbin Hu, Zhiqiang Zhang, Yakun Wang, Yusong Chen, Jun Zhou, Chuan Shi:
An Effective Graph Learning based Approach for Temporal Link Prediction: The First Place of WSDM Cup 2022. CoRR abs/2203.01820 (2022)
[i7]
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Yupeng Hou, Binbin Hu, Zhiqiang Zhang, Wayne Xin Zhao:
CORE: Simple and Effective Session-based Recommendation within Consistent Representation Space. CoRR abs/2204.11067 (2022)
[i6]
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Binbin Hu, Zhiyang Hu, Zhiqiang Zhang, Jun Zhou, Chuan Shi:
KGNN: Distributed Framework for Graph Neural Knowledge Representation. CoRR abs/2205.08285 (2022)
[i5]
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Borui Ye, Shuo Yang, Binbin Hu, Zhiqiang Zhang, Youqiang He, Kai Huang, Jun Zhou, Yanming Fang:
Gaia: Graph Neural Network with Temporal Shift aware Attention for Gross Merchandise Value Forecast in E-commerce. CoRR abs/2207.13329 (2022)
2021
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Binbin Hu, Hai-Tao Zhang, Jun Wang:
Multiple-Target Surrounding and Collision Avoidance With Second-Order Nonlinear Multiagent Systems. IEEE Trans. Ind. Electron. 68(8): 7454-7463 (2021)
[j6]
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Hai-Tao Zhang, Binbin Hu, Zhecheng Xu, Zhi Cai, Bin Liu, Xudong Wang, Tao Geng, Sheng Zhong, Jin Zhao:
Visual Navigation and Landing Control of an Unmanned Aerial Vehicle on a Moving Autonomous Surface Vehicle via Adaptive Learning. IEEE Trans. Neural Networks Learn. Syst. 32(12): 5345-5355 (2021)
[c30]
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Jianan Zhao, Xiao Wang, Chuan Shi, Binbin Hu, Guojie Song, Yanfang Ye:
Heterogeneous Graph Structure Learning for Graph Neural Networks. AAAI 2021: 4697-4705
[c29]
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Qianyu Yu, Shuo Yang, Zhiqiang Zhang, Ya-Lin Zhang, Binbin Hu, Ziqi Liu, Kai Huang, Xingyu Zhong, Jun Zhou, Yanming Fang:
A Graph Attention Network Model for GMV Forecast on Online Shopping Festival. APWeb/WAIM (1) 2021: 134-139
[c28]
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Kun Xiong, Wenwen Ye, Xu Chen, Yongfeng Zhang, Wayne Xin Zhao, Binbin Hu, Zhiqiang Zhang, Jun Zhou:
Counterfactual Review-based Recommendation. CIKM 2021: 2231-2240
[c27]
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Chuanyu Xu, Xiuchong Wang, Binbin Hu, Da Zhou, Yu Dong, Chengfu Huo, Weijun Ren:
Graph Attention Networks for New Product Sales Forecasting in E-Commerce. DASFAA (3) 2021: 553-565
[c26]
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Chengkun Liu, Rui Ma, Binbin Hu, Qingsong Fan:
Multivariate Data Fusion Method Based on 3DGIS and its Application in Engineering Management. EITCE 2021: 1393-1397
[c25]
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Minghui Yang, Shaosheng Cao, Binbin Hu, Xianling Chen, Hengbin Cui, Zhiqiang Zhang, Jun Zhou, Xiaolong Li:
IntelliTag: An Intelligent Cloud Customer Service System Based on Tag Recommendation. ICDE 2021: 2559-2570
[c24]
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Jingtian Ye, Binbin Hu, Zhecheng Xu, Bin Liu, Hai-Tao Zhang:
Autonomous Landing Allocation of Multiple Unmanned Aerial Vehicles on Multiple Unmanned Surface Vessels Subject to Energy Consumption. ICIRA (3) 2021: 611-621
[c23]
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Shuo Yang, Binbin Hu, Zhiqiang Zhang, Wang Sun, Yang Wang, Jun Zhou, Hongyu Shan, Yuetian Cao, Borui Ye, Yanming Fang, Quan Yu:
Inductive Link Prediction with Interactive Structure Learning on Attributed Graph. ECML/PKDD (2) 2021: 383-398
[i4]
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Yufei Feng, Binbin Hu, Yu Gong, Fei Sun, Qingwen Liu, Wenwu Ou:
GRN: Generative Rerank Network for Context-wise Recommendation. CoRR abs/2104.00860 (2021)
2020
[c22]
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Yufei Feng, Fuyu Lv, Binbin Hu, Fei Sun, Kun Kuang, Yang Liu, Qingwen Liu, Wenwu Ou:
MTBRN: Multiplex Target-Behavior Relation Enhanced Network for Click-Through Rate Prediction. CIKM 2020: 2421-2428
[c21]
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Yu Gong, Ziwen Jiang, Yufei Feng, Binbin Hu, Kaiqi Zhao, Qingwen Liu, Wenwu Ou:
EdgeRec: Recommender System on Edge in Mobile Taobao. CIKM 2020: 2477-2484
[c20]
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Binbin Hu, Zhiqiang Zhang, Jun Zhou, Jingli Fang, Quanhui Jia, Yanming Fang, Quan Yu, Yuan Qi:
Loan Default Analysis with Multiplex Graph Learning. CIKM 2020: 2525-2532
[c19]
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Xunqiang Jiang, Binbin Hu, Yuan Fang, Chuan Shi:
Multiplex Memory Network for Collaborative Filtering. SDM 2020: 91-99
[c18]
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Yufei Feng, Binbin Hu, Fuyu Lv, Qingwen Liu, Zhiqiang Zhang, Wenwu Ou:
ATBRG: Adaptive Target-Behavior Relational Graph Network for Effective Recommendation. SIGIR 2020: 2231-2240
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Qiwei Zhong, Yang Liu, Xiang Ao, Binbin Hu, Jinghua Feng, Jiayu Tang, Qing He:
Financial Defaulter Detection on Online Credit Payment via Multi-view Attributed Heterogeneous Information Network. WWW 2020: 785-795
[i3]
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Yufei Feng, Binbin Hu, Fuyu Lv, Qingwen Liu, Zhiqiang Zhang, Wenwu Ou:
ATBRG: Adaptive Target-Behavior Relational Graph Network for Effective Recommendation. CoRR abs/2005.12002 (2020)
[i2]
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Yufei Feng, Fuyu Lv, Binbin Hu, Fei Sun, Kun Kuang, Yang Liu, Qingwen Liu, Wenwu Ou:
MTBRN: Multiplex Target-Behavior Relation Enhanced Network for Click-Through Rate Prediction. CoRR abs/2008.05673 (2020)

2010 – 2019

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2019
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Maojun Li, Haiyun Dong, Binbin Hu, Liwei Xu:
Maximum-Principle-Satisfying and Positivity-Preserving High Order Central DG Methods on Unstructured Overlapping Meshes for Two-Dimensional Hyperbolic Conservation Laws. J. Sci. Comput. 79(3): 1361-1388 (2019)
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Chuan Shi, Binbin Hu, Wayne Xin Zhao, Philip S. Yu:
Heterogeneous Information Network Embedding for Recommendation. IEEE Trans. Knowl. Data Eng. 31(2): 357-370 (2019)
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Binbin Hu, Luoyang Fang, Xiang Cheng, Liuqing Yang:
In-Vehicle Caching (IV-Cache) Via Dynamic Distributed Storage Relay (D$^2$SR) in Vehicular Networks. IEEE Trans. Veh. Technol. 68(1): 843-855 (2019)
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Binbin Hu, Zhiqiang Zhang, Chuan Shi, Jun Zhou, Xiaolong Li, Yuan Qi:
Cash-Out User Detection Based on Attributed Heterogeneous Information Network with a Hierarchical Attention Mechanism. AAAI 2019: 946-953
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Binbin Hu, Rongqing Zhang, Luoyang Fang, Xiang Cheng, Liuqing Yang:
Relay Selection Strategy (RSS) Design for In-Vehicle Storage (IVS) System. GLOBECOM 2019: 1-6
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Binbin Hu, Yuan Fang, Chuan Shi:
Adversarial Learning on Heterogeneous Information Networks. KDD 2019: 120-129
2018
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Chuan Shi, Jian Liu, Yiding Zhang, Binbin Hu, Shenghua Liu, Philip S. Yu:
MFPR: A Personalized Ranking Recommendation with Multiple Feedback. ACM Trans. Soc. Comput. 1(2): 7:1-7:22 (2018)
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Menghao Zhang, Binbin Hu, Chuan Shi, Bin Wu, Bai Wang:
Matrix Factorization Meets Social Network Embedding for Rating Prediction. APWeb/WAIM (1) 2018: 121-129
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Yang Xiao, Ding Xiao, Binbin Hu, Chuan Shi:
ANE: Network Embedding via Adversarial Autoencoders. BigComp 2018: 66-73
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Binbin Hu, Chuan Shi, Wayne Xin Zhao, Tianchi Yang:
Local and Global Information Fusion for Top-N Recommendation in Heterogeneous Information Network. CIKM 2018: 1683-1686
[c10]
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Binbin Hu, Luoyang Fang, Xiang Cheng, Liuqing Yang:
Relay-and-Repair Based in-Vehicle Storage (R²IVS) System in Vehicular Networks. GLOBECOM 2018: 1-6
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Binbin Hu, Luoyang Fang, Xiang Cheng, Liuqing Yang:
Vehicle-to-Vehicle Distributed Storage in Vehicular Networks. ICC 2018: 1-6
[c8]
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Binbin Hu, Bin Liu, Zhecheng Xu, Tao Geng, Ye Yuan, Hai-Tao Zhang:
Distributed Hunting for Multi USVs Based on Cyclic Estimation and Pursuit. ICIRA (1) 2018: 101-112
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Binbin Hu, Chuan Shi, Wayne Xin Zhao, Philip S. Yu:
Leveraging Meta-path based Context for Top- N Recommendation with A Neural Co-Attention Model. KDD 2018: 1531-1540
2017
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Bin Liu, Hai-Tao Zhang, Yue Wu, Binbin Hu:
Distributed Consensus Control of Multi-USV Systems. ICIRA (1) 2017: 628-635
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Binbin Hu, Chuan Shi, Jian Liu:
Playlist Recommendation Based on Reinforcement Learning. IFIP TC12 ICIS 2017: 172-182
[c4]
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Jian Liu, Chuan Shi, Binbin Hu, Shenghua Liu, Philip S. Yu:
Personalized Ranking Recommendation via Integrating Multiple Feedbacks. PAKDD (2) 2017: 131-143
[c3]
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Menghao Zhang, Binbin Hu, Chuan Shi, Bai Wang:
Local Low-Rank Matrix Approximation with Preference Selection of Anchor Points. WWW (Companion Volume) 2017: 1395-1403
[i1]
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Chuan Shi, Binbin Hu, Wayne Xin Zhao, Philip S. Yu:
Heterogeneous Information Network Embedding for Recommendation. CoRR abs/1711.10730 (2017)
2015
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Wei Zhang, Yong Zhou, Wenjun Tian, Binbin Hu:
GIS-based indoor pedestrian evacuation simulation combining the particle swarm optimization and the floor field model. Geoinformatics 2015: 1-4
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Li Ma, Yuqi Zhang, Binbin Hu, Ming-Yang Zheng:
Weighted bilateral filtering using relative difference between pixels. ICDIP 2015: 96310R
2014
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Xiaodong Wang, Tengfei Wang, Binbin Hu, Gangyi Jiang, Lianjun Zhang:
An Important Frame Distinction Model of Stereoscopic Video Based on Content. J. Multim. 9(8): 985-991 (2014)

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