Binbin Hu - RankMe

134 papers A* 31A 18B 4C 1Journal 58Unranked 22

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	APL-LLM: adaptive pseudo-labeling with large language models for few-shot node classification. Frontiers Comput. Sci. Junyi Li, Chenweinan Jiang, Daixin Wang, Guo Ye, Libang Zhang, Huimei He, Binbin Hu, Zhiqiang Zhang, Fuzhen Zhuang
2026	A*	`conf`	Token-level Collaborative Alignment for LLM-based Generative Recommendation. WWW Fake Lin, Binbin Hu, Zhi Zheng, Xi Zhu, Ziqi Liu, Zhiqiang Zhang, Jun Zhou, Tong Xu
2026	J	`jnl`	Token-level Collaborative Alignment for LLM-based Generative Recommendation. CoRR Fake Lin, Binbin Hu, Zhi Zheng, Xi Zhu, Ziqi Liu, Zhiqiang Zhang, Jun Zhou, Tong Xu
2025	A	`conf`	Arrows of Math Reasoning Data Synthesis for Large Language Models: Diversity, Complexity and Correctness. CIKM Sirui Chen, Changxin Tian, Binbin Hu, Kunlong Chen, Ziqi Liu, Zhiqiang Zhang, Jun Zhou
2025	J	`jnl`	Arrows of Math Reasoning Data Synthesis for Large Language Models: Diversity, Complexity and Correctness. CoRR Sirui Chen, Changxin Tian, Binbin Hu, Kunlong Chen, Ziqi Liu, Zhiqiang Zhang, Jun Zhou
2025	A	`conf`	Dynamic Graph Transformer with Correlated Spatial-Temporal Positional Encoding. WSDM Zhe Wang, Sheng Zhou, Jiawei Chen, Zhen Zhang, Binbin Hu, Yan Feng, Chun Chen, Can Wang
2025	A*	`conf`	Effectively PAIRing LLMs with Online Marketing via Progressive Prompting Augmentation. ICDE Chunjing Gan, Dan Yang, Binbin Hu, Ziqi Liu, Yue Shen, Zhiqiang Zhang, Jinjie Gu, Jun Zhou, Guannan Zhang
2025	J	`jnl`	Enhancing LLM Tool Use with High-quality Instruction Data from Knowledge Graph. CoRR Jingwei Wang, Zai Zhang, Hao Qian, Chunjing Gan, Binbin Hu, Ziqi Liu, Zhiqiang Zhang, Jun Zhou, Bin Shi, Bo Dong
2025	A	`conf`	Graph Disentangle Causal Model: Enhancing Causal Inference in Networked Observational Data. WSDM Binbin Hu, Zhicheng An, Zhengwei Wu, Ke Tu, Ziqi Liu, Zhiqiang Zhang, Jun Zhou, Yufei Feng, Jiawei Chen
2025	—	`conf`	Have We Designed Generalizable Structural Knowledge Promptings? Systematic Evaluation and Rethinking. ACL (1) Yichi Zhang, Zhuo Chen, Lingbing Guo, Yajing Xu, Shaokai Chen, Mengshu Sun, Binbin Hu, Zhiqiang Zhang, Lei Liang, Wen Zhang, Huajun Chen
2025	J	`jnl`	Have We Designed Generalizable Structural Knowledge Promptings? Systematic Evaluation and Rethinking. CoRR Yichi Zhang, Zhuo Chen, Lingbing Guo, Yajing Xu, Shaokai Chen, Mengshu Sun, Binbin Hu, Zhiqiang Zhang, Lei Liang, Wen Zhang, Huajun Chen
2025	A	`conf`	How Do Recommendation Models Amplify Popularity Bias? An Analysis from the Spectral Perspective. WSDM Siyi Lin, Chongming Gao, Jiawei Chen, Sheng Zhou, Binbin Hu, Yan Feng, Chun Chen, Can Wang
2025	A	`conf`	MSDet: Receptive Field Enhanced Multiscale Detection for Tiny Pulmonary Nodule. ICME Guohui Cai, Ruicheng Zhang, Hongyang He, Zeyu Zhang, Daji Ergu, Yuanzhouhan Cao, Jinman Zhao, Binbin Hu, Zhibin Liao, Yang Zhao, Ying Cai
2025	A*	`conf`	Multiple Heads are Better than One: Mixture of Modality Knowledge Experts for Entity Representation Learning. ICLR Yichi Zhang, Zhuo Chen, Lingbing Guo, Yajing Xu, Binbin Hu, Ziqi Liu, Wen Zhang, Huajun Chen
2025	J	`jnl`	POLYRAG: Integrating Polyviews into Retrieval-Augmented Generation for Medical Applications. CoRR Chunjing Gan, Dan Yang, Binbin Hu, Ziqi Liu, Yue Shen, Zhiqiang Zhang, Jian Wang, Jun Zhou
2025	A*	`conf`	Rankformer: A Graph Transformer for Recommendation based on Ranking Objective. WWW Sirui Chen, Shen Han, Jiawei Chen, Binbin Hu, Sheng Zhou, Gang Wang, Yan Feng, Chun Chen, Can Wang
2025	J	`jnl`	Rankformer: A Graph Transformer for Recommendation based on Ranking Objective. CoRR Sirui Chen, Shen Han, Jiawei Chen, Binbin Hu, Sheng Zhou, Gang Wang, Yan Feng, Chun Chen, Can Wang
2025	A*	`conf`	Tokenization, Fusion, and Augmentation: Towards Fine-grained Multi-modal Entity Representation. AAAI Yichi Zhang, Zhuo Chen, Lingbing Guo, Yajing Xu, Binbin Hu, Ziqi Liu, Wen Zhang, Huajun Chen
2025	—	`conf`	Unlocking General Long Chain-of-Thought Reasoning Capabilities of Large Language Models via Representation Engineering. ACL (1) Xinyu Tang, Xiaolei Wang, Zhihao Lv, Yingqian Min, Xin Zhao, Binbin Hu, Ziqi Liu, Zhiqiang Zhang
2025	J	`jnl`	Unlocking General Long Chain-of-Thought Reasoning Capabilities of Large Language Models via Representation Engineering. CoRR Xinyu Tang, Xiaolei Wang, Zhihao Lv, Yingqian Min, Wayne Xin Zhao, Binbin Hu, Ziqi Liu, Zhiqiang Zhang
2024	B	`conf`	Bidirectional Buffer-Constrained Bitrate Adaptation for Layered 360-degree Video Streaming. GLOBECOM Binbin Hu, Shan Zhang, Chang Feng, Zhiyuan Wang, Hongbin Luo, Xiao Ma
2024	A*	`conf`	Can Small Language Models be Good Reasoners for Sequential Recommendation? WWW Yuling Wang, Changxin Tian, Binbin Hu, Yanhua Yu, Ziqi Liu, Zhiqiang Zhang, Jun Zhou, Liang Pang, Xiao Wang
2024	J	`jnl`	Can Small Language Models be Good Reasoners for Sequential Recommendation? CoRR Yuling Wang, Changxin Tian, Binbin Hu, Yanhua Yu, Ziqi Liu, Zhiqiang Zhang, Jun Zhou, Liang Pang, Xiao Wang
2024	A*	`conf`	DDCDR: A Disentangle-based Distillation Framework for Cross-Domain Recommendation. KDD Zhicheng An, Zhexu Gu, Li Yu, Ke Tu, Zhengwei Wu, Binbin Hu, Zhiqiang Zhang, Lihong Gu, Jinjie Gu
2024	J	`jnl`	Dynamic Graph Transformer with Correlated Spatial-Temporal Positional Encoding. CoRR Zhe Wang, Sheng Zhou, Jiawei Chen, Zhen Zhang, Binbin Hu, Yan Feng, Chun Chen, Can Wang
2024	—	`conf`	Granola: Graph Neural Network Tackling Tabular Data for Online Loan Default Prediction. DASFAA (7) Borui Ye, Shuo Yang, Meiqi Zhu, Binbin Hu, Daixin Wang, Zhiqiang Zhang, Youqiang He, Zhiyang Hu, Huimei He, Jun Zhou
2024	J	`jnl`	Graph Disentangle Causal Model: Enhancing Causal Inference in Networked Observational Data. CoRR Binbin Hu, Zhicheng An, Zhengwei Wu, Ke Tu, Ziqi Liu, Zhiqiang Zhang, Jun Zhou, Yufei Feng, Jiawei Chen
2024	J	`jnl`	How Do Recommendation Models Amplify Popularity Bias? An Analysis from the Spectral Perspective. CoRR Siyi Lin, Chongming Gao, Jiawei Chen, Sheng Zhou, Binbin Hu, Can Wang
2024	J	`jnl`	Integrating Curing Experience and Fluctuating Leaf Quality in an Intelligent End-Cloud Collaboration. J. Circuits Syst. Comput. Ziyang Meng, Hao Li, Xiaoya Cui, Binbin Hu, Yonglei Jiang, Tao Wang, Yi Chen
2024	A*	`conf`	Know Your Needs Better: Towards Structured Understanding of Marketer Demands with Analogical Reasoning Augmented LLMs. KDD Junjie Wang, Dan Yang, Binbin Hu, Yue Shen, Wen Zhang, Jinjie Gu
2024	J	`jnl`	Know Your Needs Better: Towards Structured Understanding of Marketer Demands with Analogical Reasoning Augmented LLMs. CoRR Junjie Wang, Dan Yang, Binbin Hu, Yue Shen, Ziqi Liu, Wen Zhang, Jinjie Gu, Zhiqiang Zhang
2024	J	`jnl`	LeaNet: Lightweight U-shaped architecture for high-performance skin cancer image segmentation. Comput. Biol. Medicine Binbin Hu, Pan Zhou, Hongfang Yu, Yueyue Dai, Ming Wang, Shengbo Tan, Ying Sun
2024	—	`conf`	Learning to Plan for Retrieval-Augmented Large Language Models from Knowledge Graphs. EMNLP (Findings) 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
2024	J	`jnl`	Learning to Plan for Retrieval-Augmented Large Language Models from Knowledge Graphs. CoRR 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
2024	J	`jnl`	MSDet: Receptive Field Enhanced Multiscale Detection for Tiny Pulmonary Nodule. CoRR Guohui Cai, Ying Cai, Zeyu Zhang, Daji Ergu, Yuanzhouhan Cao, Binbin Hu, Zhibin Liao, Yang Zhao
2024	J	`jnl`	Mixture of Modality Knowledge Experts for Robust Multi-modal Knowledge Graph Completion. CoRR Yichi Zhang, Zhuo Chen, Lingbing Guo, Yajing Xu, Binbin Hu, Ziqi Liu, Wen Zhang, Huajun Chen
2024	J	`jnl`	Multi-domain Knowledge Graph Collaborative Pre-training and Prompt Tuning for Diverse Downstream Tasks. CoRR Yichi Zhang, Binbin Hu, Zhuo Chen, Lingbing Guo, Ziqi Liu, Zhiqiang Zhang, Lei Liang, Huajun Chen, Wen Zhang
2024	J	`jnl`	MyGO: Discrete Modality Information as Fine-Grained Tokens for Multi-modal Knowledge Graph Completion. CoRR Yichi Zhang, Zhuo Chen, Lingbing Guo, Yajing Xu, Binbin Hu, Ziqi Liu, Huajun Chen, Wen Zhang
2024	A*	`conf`	NativE: Multi-modal Knowledge Graph Completion in the Wild. SIGIR Yichi Zhang, Zhuo Chen, Lingbing Guo, Yajing Xu, Binbin Hu, Ziqi Liu, Wen Zhang, Huajun Chen
2024	J	`jnl`	NativE: Multi-modal Knowledge Graph Completion in the Wild. CoRR Yichi Zhang, Zhuo Chen, Lingbing Guo, Yajing Xu, Binbin Hu, Ziqi Liu, Wen Zhang, Huajun Chen
2024	B	`conf`	Non-Stationary QoE-Driven Online Transmission Strategy for Tile-Based 360 Degree Video. GLOBECOM Chang Feng, Shan Zhang, Zhiyuan Wang, Binbin Hu, Hongbin Luo
2024	A	`conf`	Not All Negatives Are Worth Attending to: Meta-Bootstrapping Negative Sampling Framework for Link Prediction. WSDM Yakun Wang, Binbin Hu, Shuo Yang, Meiqi Zhu, Zhiqiang Zhang, Qiyang Zhang, Jun Zhou, Guo Ye, Huimei He
2024	A*	`conf`	Optimizing Long-tailed Link Prediction in Graph Neural Networks through Structure Representation Enhancement. KDD Yakun Wang, Daixin Wang, Hongrui Liu, Binbin Hu, Yingcui Yan, Qiyang Zhang, Zhiqiang Zhang
2024	J	`jnl`	Optimizing Long-tailed Link Prediction in Graph Neural Networks through Structure Representation Enhancement. CoRR Yakun Wang, Daixin Wang, Hongrui Liu, Binbin Hu, Yingcui Yan, Qiyang Zhang, Zhiqiang Zhang
2024	A	`conf`	PEACE: Prototype lEarning Augmented transferable framework for Cross-domain rEcommendation. WSDM Chunjing Gan, Bo Huang, Binbin Hu, Jian Ma, Zhiqiang Zhang, Jun Zhou, Guannan Zhang, Wenliang Zhong
2024	A*	`conf`	PSL: Rethinking and Improving Softmax Loss from Pairwise Perspective for Recommendation. NeurIPS Weiqin Yang, Jiawei Chen, Xin Xin, Sheng Zhou, Binbin Hu, Yan Feng, Chun Chen, Can Wang
2024	J	`jnl`	PSL: Rethinking and Improving Softmax Loss from Pairwise Perspective for Recommendation. CoRR Weiqin Yang, Jiawei Chen, Xin Xin, Sheng Zhou, Binbin Hu, Yan Feng, Chun Chen, Can Wang
2024	A	`conf`	ReLand: Integrating Large Language Models' Insights into Industrial Recommenders via a Controllable Reasoning Pool. RecSys Changxin Tian, Binbin Hu, Chunjing Gan, Haoyu Chen, Zhuo Zhang, Li Yu, Ziqi Liu, Zhiqiang Zhang, Jun Zhou, Jiawei Chen
2024	J	`jnl`	SegStitch: Multidimensional Transformer for Robust and Efficient Medical Imaging Segmentation. CoRR Shengbo Tan, Zeyu Zhang, Ying Cai, Daji Ergu, Lin Wu, Binbin Hu, Pengzhang Yu, Yang Zhao
2024	J	`jnl`	Similarity is Not All You Need: Endowing Retrieval Augmented Generation with Multi Layered Thoughts. CoRR Chunjing Gan, Dan Yang, Binbin Hu, Hanxiao Zhang, Siyuan Li, Ziqi Liu, Yue Shen, Lin Ju, Zhiqiang Zhang, Jinjie Gu, Lei Liang, Jun Zhou
2024	A	`conf`	The Devil is in the Sources! Knowledge Enhanced Cross-Domain Recommendation in an Information Bottleneck Perspective. CIKM Binbin Hu, Weifan Wang, Shuhan Wang, Ziqi Liu, Bin Shen, Yong He, Jiawei Chen
2024	J	`jnl`	The Devil is in the Sources! Knowledge Enhanced Cross-Domain Recommendation in an Information Bottleneck Perspective. CoRR Binbin Hu, Weifan Wang, Hanshu Wang, Ziqi Liu, Bin Shen, Yong He, Jiawei Chen
2024	A	`conf`	To Explore or Exploit? A Gradient-informed Framework to Address the Feedback Loop for Graph based Recommendation. CIKM Zhigang Huangfu, Binbin Hu, Zhengwei Wu, Fengyu Han, Gong-Duo Zhang, Lihong Gu, Zhiqiang Zhang
2024	J	`jnl`	Your decision path does matter in pre-training industrial recommenders with multi-source behaviors. CoRR Chunjing Gan, Binbin Hu, Bo Huang, Ziqi Liu, Jian Ma, Zhiqiang Zhang, Wenliang Zhong, Jun Zhou
2023	—	`conf`	A Scalable Social Recommendation Framework with Decoupled Graph Neural Network. DASFAA (4) Ke Tu, Zhengwei Wu, Binbin Hu, Zhiqiang Zhang, Peng Cui, Xiaolong Li, Jun Zhou
2023	A*	`conf`	COUPA: An Industrial Recommender System for Online to Offline Service Platforms. SIGIR Sicong Xie, Binbin Hu, Fengze Li, Ziqi Liu, Zhiqiang Zhang, Wenliang Zhong, Jun Zhou
2023	J	`jnl`	COUPA: An Industrial Recommender System for Online to Offline Service Platforms. CoRR Sicong Xie, Binbin Hu, Fengze Li, Ziqi Liu, Zhiqiang Zhang, Wenliang Zhong, Jun Zhou
2023	A*	`conf`	Commonsense Knowledge Graph towards Super APP and Its Applications in Alipay. KDD Xiaoling Zang, Binbin Hu, Jun Chu, Zhiqiang Zhang, Guannan Zhang, Jun Zhou, Wenliang Zhong
2023	A*	`conf`	GARCIA: Powering Representations of Long-tail Query with Multi-granularity Contrastive Learning. ICDE Weifan Wang, Binbin Hu, Zhicheng Peng, Mingjie Zhong, Zhiqiang Zhang, Zhongyi Liu, Guannan Zhang, Jun Zhou
2023	J	`jnl`	GARCIA: Powering Representations of Long-tail Query with Multi-granularity Contrastive Learning. CoRR Weifan Wang, Binbin Hu, Zhicheng Peng, Mingjie Zhong, Zhiqiang Zhang, Zhongyi Liu, Guannan Zhang, Jun Zhou
2023	A*	`conf`	InferTurbo: A Scalable System for Boosting Full-graph Inference of Graph Neural Network over Huge Graphs. ICDE Dalong Zhang, Xianzheng Song, Zhiyang Hu, Yang Li, Miao Tao, Binbin Hu, Lin Wang, Zhiqiang Zhang, Jun Zhou
2023	J	`jnl`	InferTurbo: A Scalable System for Boosting Full-graph Inference of Graph Neural Network over Huge Graphs. CoRR Dalong Zhang, Xianzheng Song, Zhiyang Hu, Yang Li, Miao Tao, Binbin Hu, Lin Wang, Zhiqiang Zhang, Jun Zhou
2023	J	`jnl`	Intelligent and Accurate Tobacco Curing via Image Recognition and Data Analysis. J. Circuits Syst. Comput. Binbin Hu, Ziyang Meng, Yi Chen, Yonglei Jiang, Chunwei Chang, Zengxiang Ke, Jun Chen, Hao Li
2023	J	`jnl`	Making Large Language Models Better Knowledge Miners for Online Marketing with Progressive Prompting Augmentation. CoRR Chunjing Gan, Dan Yang, Binbin Hu, Ziqi Liu, Yue Shen, Zhiqiang Zhang, Jinjie Gu, Jun Zhou, Guannan Zhang
2023	—	`conf`	Movie Ticket, Popcorn, and Another Movie Next Weekend: Time-Aware Service Sequential Recommendation for User Retention. WWW (Companion Volume) Xiaoyan Yang, Dong Wang, Binbin Hu, Dan Yang, Yue Shen, Jinjie Gu, Zhiqiang Zhang, Shiwei Lyu, Haipeng Zhang, Guannan Zhang
2023	J	`jnl`	Not All Negatives Are Worth Attending to: Meta-Bootstrapping Negative Sampling Framework for Link Prediction. CoRR Yakun Wang, Binbin Hu, Shuo Yang, Meiqi Zhu, Zhiqiang Zhang, Qiyang Zhang, Jun Zhou, Guo Ye, Huimei He
2023	J	`jnl`	PEACE: Prototype lEarning Augmented transferable framework for Cross-domain rEcommendation. CoRR Chunjing Gan, Bo Huang, Binbin Hu, Jian Ma, Ziqi Liu, Zhiqiang Zhang, Jun Zhou, Guannan Zhang, Wenliang Zhong
2023	A	`conf`	Periodicity May Be Emanative: Hierarchical Contrastive Learning for Sequential Recommendation. CIKM Changxin Tian, Binbin Hu, Wayne Xin Zhao, Zhiqiang Zhang, Jun Zhou
2023	A*	`conf`	REMIT: Reinforced Multi-Interest Transfer for Cross-Domain Recommendation. AAAI Caiqi Sun, Jiewei Gu, Binbin Hu, Xin Dong, Hai Li, Lei Cheng, Linjian Mo
2023	J	`jnl`	Think-in-Memory: Recalling and Post-thinking Enable LLMs with Long-Term Memory. CoRR Lei Liu, Xiaoyan Yang, Yue Shen, Binbin Hu, Zhiqiang Zhang, Jinjie Gu, Guannan Zhang
2023	—	`conf`	Unsupervised Fraud Transaction Detection on Dynamic Attributed Networks. DASFAA (4) Yangyang Hou, Daixin Wang, Binbin Hu, Ruoyu Zhuang, Zhiqiang Zhang, Jun Zhou, Feng Zhao, Yulin Kang, Zhanwen Qiao
2023	A*	`conf`	Which Matters Most in Making Fund Investment Decisions? A Multi-granularity Graph Disentangled Learning Framework. SIGIR Chunjing Gan, Binbin Hu, Bo Huang, Tianyu Zhao, Yingru Lin, Wenliang Zhong, Zhiqiang Zhang, Jun Zhou, Chuan Shi
2023	J	`jnl`	Which Matters Most in Making Fund Investment Decisions? A Multi-granularity Graph Disentangled Learning Framework. CoRR Chunjing Gan, Binbin Hu, Bo Huang, Tianyu Zhao, Yingru Lin, Wenliang Zhong, Zhiqiang Zhang, Jun Zhou, Chuan Shi
2023	A*	`conf`	Who Would be Interested in Services? An Entity Graph Learning System for User Targeting. ICDE Dan Yang, Binbin Hu, Xiaoyan Yang, Yue Shen, Zhiqiang Zhang, Jinjie Gu, Guannan Zhang
2023	J	`jnl`	Who Would be Interested in Services? An Entity Graph Learning System for User Targeting. CoRR Dan Yang, Binbin Hu, Xiaoyan Yang, Yue Shen, Zhiqiang Zhang, Jinjie Gu, Guannan Zhang
2022	J	`jnl`	An Effective Graph Learning based Approach for Temporal Link Prediction: The First Place of WSDM Cup 2022. CoRR Qian Zhao, Shuo Yang, Binbin Hu, Zhiqiang Zhang, Yakun Wang, Yusong Chen, Jun Zhou, Chuan Shi
2022	J	`jnl`	Bearing-Only Motional Target-Surrounding Control for Multiple Unmanned Surface Vessels. IEEE Trans. Ind. Electron. Binbin Hu, Hai-Tao Zhang
2022	A*	`conf`	CORE: Simple and Effective Session-based Recommendation within Consistent Representation Space. SIGIR Yupeng Hou, Binbin Hu, Zhiqiang Zhang, Wayne Xin Zhao
2022	J	`jnl`	CORE: Simple and Effective Session-based Recommendation within Consistent Representation Space. CoRR Yupeng Hou, Binbin Hu, Zhiqiang Zhang, Wayne Xin Zhao
2022	A*	`conf`	Confidence May Cheat: Self-Training on Graph Neural Networks under Distribution Shift. WWW Hongrui Liu, Binbin Hu, Xiao Wang, Chuan Shi, Zhiqiang Zhang, Jun Zhou
2022	J	`jnl`	Confidence May Cheat: Self-Training on Graph Neural Networks under Distribution Shift. CoRR Hongrui Liu, Binbin Hu, Xiao Wang, Chuan Shi, Zhiqiang Zhang, Jun Zhou
2022	J	`jnl`	Distributed Moving Target Fencing in a Regular Polygon Formation. IEEE Trans. Control. Netw. Syst. Binbin Hu, Zhiyong Chen, Hai-Tao Zhang
2022	J	`jnl`	Distributed Surrounding Control of Multiple Unmanned Surface Vessels With Varying Interconnection Topologies. IEEE Trans. Control. Syst. Technol. Binbin Hu, Hai-Tao Zhang, Bin Liu, Haofei Meng, Guanrong Chen
2022	A*	`conf`	Gaia: Graph Neural Network with Temporal Shift aware Attention for Gross Merchandise Value Forecast in E-commerce. ICDE Borui Ye, Shuo Yang, Binbin Hu, Zhiqiang Zhang, Youqiang He, Kai Huang, Jun Zhou, Yanming Fang
2022	J	`jnl`	Gaia: Graph Neural Network with Temporal Shift aware Attention for Gross Merchandise Value Forecast in E-commerce. CoRR Borui Ye, Shuo Yang, Binbin Hu, Zhiqiang Zhang, Youqiang He, Kai Huang, Jun Zhou, Yanming Fang
2022	A*	`conf`	Intent Mining: A Social and Semantic Enhanced Topic Model for Operation-Friendly Digital Marketing. ICDE Weifan Wang, Xiaocheng Cheng, Ziqi Liu, Yu Lin, Yue Shen, Binbin Hu, Zhiqiang Zhang, Xiaodong Zeng, Jun Zhou, Jinjie Gu, Minnan Luo
2022	J	`jnl`	KGNN: Distributed Framework for Graph Neural Knowledge Representation. CoRR Binbin Hu, Zhiyang Hu, Zhiqiang Zhang, Jun Zhou, Chuan Shi
2022	A*	`conf`	MERIT: Learning Multi-level Representations on Temporal Graphs. IJCAI Binbin Hu, Zhengwei Wu, Jun Zhou, Ziqi Liu, Zhigang Huangfu, Zhiqiang Zhang, Chaochao Chen
2022	—	`conf`	Mixture of Graph Enhanced Expert Networks for Multi-task Recommendation. PRICAI (3) Binbin Hu, Bin Shen, Ruize Wu, Zhiqiang Zhang, Yuetian Cao, Yong He, Liang Zhang, Linjian Mo, Jun Zhou
2022	J	`jnl`	Moving Target Surrounding Control of Linear Multiagent Systems With Input Saturation. IEEE Trans. Syst. Man Cybern. Syst. Bowen Xu, Hai-Tao Zhang, Haofei Meng, Binbin Hu, Duxin Chen, Guanrong Chen
2022	A	`conf`	Neural Graph Matching for Pre-training Graph Neural Networks. SDM Yupeng Hou, Binbin Hu, Wayne Xin Zhao, Zhiqiang Zhang, Jun Zhou, Ji-Rong Wen
2022	J	`jnl`	Neural Graph Matching for Pre-training Graph Neural Networks. CoRR Yupeng Hou, Binbin Hu, Wayne Xin Zhao, Zhiqiang Zhang, Jun Zhou, Ji-Rong Wen
2022	A*	`conf`	Regularizing Graph Neural Networks via Consistency-Diversity Graph Augmentations. AAAI Deyu Bo, Binbin Hu, Xiao Wang, Zhiqiang Zhang, Chuan Shi, Jun Zhou
2021	—	`conf`	A Graph Attention Network Model for GMV Forecast on Online Shopping Festival. APWeb/WAIM (1) Qianyu Yu, Shuo Yang, Zhiqiang Zhang, Ya-Lin Zhang, Binbin Hu, Ziqi Liu, Kai Huang, Xingyu Zhong, Jun Zhou, Yanming Fang
2021	—	`conf`	Autonomous Landing Allocation of Multiple Unmanned Aerial Vehicles on Multiple Unmanned Surface Vessels Subject to Energy Consumption. ICIRA (3) Jingtian Ye, Binbin Hu, Zhecheng Xu, Bin Liu, Hai-Tao Zhang
2021	A	`conf`	Counterfactual Review-based Recommendation. CIKM Kun Xiong, Wenwen Ye, Xu Chen, Yongfeng Zhang, Wayne Xin Zhao, Binbin Hu, Zhiqiang Zhang, Jun Zhou
2021	J	`jnl`	GRN: Generative Rerank Network for Context-wise Recommendation. CoRR Yufei Feng, Binbin Hu, Yu Gong, Fei Sun, Qingwen Liu, Wenwu Ou
2021	—	`conf`	Graph Attention Networks for New Product Sales Forecasting in E-Commerce. DASFAA (3) Chuanyu Xu, Xiuchong Wang, Binbin Hu, Da Zhou, Yu Dong, Chengfu Huo, Weijun Ren
2021	A*	`conf`	Heterogeneous Graph Structure Learning for Graph Neural Networks. AAAI Jianan Zhao, Xiao Wang, Chuan Shi, Binbin Hu, Guojie Song, Yanfang Ye
2021	—	`conf`	Inductive Link Prediction with Interactive Structure Learning on Attributed Graph. ECML/PKDD (2) Shuo Yang, Binbin Hu, Zhiqiang Zhang, Wang Sun, Yang Wang, Jun Zhou, Hongyu Shan, Yuetian Cao, Borui Ye, Yanming Fang, Quan Yu
2021	A*	`conf`	IntelliTag: An Intelligent Cloud Customer Service System Based on Tag Recommendation. ICDE Minghui Yang, Shaosheng Cao, Binbin Hu, Xianling Chen, Hengbin Cui, Zhiqiang Zhang, Jun Zhou, Xiaolong Li
2021	J	`jnl`	Multiple-Target Surrounding and Collision Avoidance With Second-Order Nonlinear Multiagent Systems. IEEE Trans. Ind. Electron. Binbin Hu, Hai-Tao Zhang, Jun Wang
2021	—	`conf`	Multivariate Data Fusion Method Based on 3DGIS and its Application in Engineering Management. EITCE Chengkun Liu, Rui Ma, Binbin Hu, Qingsong Fan
2021	J	`jnl`	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. Hai-Tao Zhang, Binbin Hu, Zhecheng Xu, Zhi Cai, Bin Liu, Xudong Wang, Tao Geng, Sheng Zhong, Jin Zhao
2020	A*	`conf`	ATBRG: Adaptive Target-Behavior Relational Graph Network for Effective Recommendation. SIGIR Yufei Feng, Binbin Hu, Fuyu Lv, Qingwen Liu, Zhiqiang Zhang, Wenwu Ou
2020	J	`jnl`	ATBRG: Adaptive Target-Behavior Relational Graph Network for Effective Recommendation. CoRR Yufei Feng, Binbin Hu, Fuyu Lv, Qingwen Liu, Zhiqiang Zhang, Wenwu Ou
2020	A	`conf`	EdgeRec: Recommender System on Edge in Mobile Taobao. CIKM Yu Gong, Ziwen Jiang, Yufei Feng, Binbin Hu, Kaiqi Zhao, Qingwen Liu, Wenwu Ou
2020	A*	`conf`	Financial Defaulter Detection on Online Credit Payment via Multi-view Attributed Heterogeneous Information Network. WWW Qiwei Zhong, Yang Liu, Xiang Ao, Binbin Hu, Jinghua Feng, Jiayu Tang, Qing He
2020	A	`conf`	Loan Default Analysis with Multiplex Graph Learning. CIKM Binbin Hu, Zhiqiang Zhang, Jun Zhou, Jingli Fang, Quanhui Jia, Yanming Fang, Quan Yu, Yuan Qi
2020	A	`conf`	MTBRN: Multiplex Target-Behavior Relation Enhanced Network for Click-Through Rate Prediction. CIKM Yufei Feng, Fuyu Lv, Binbin Hu, Fei Sun, Kun Kuang, Yang Liu, Qingwen Liu, Wenwu Ou
2020	J	`jnl`	MTBRN: Multiplex Target-Behavior Relation Enhanced Network for Click-Through Rate Prediction. CoRR Yufei Feng, Fuyu Lv, Binbin Hu, Fei Sun, Kun Kuang, Yang Liu, Qingwen Liu, Wenwu Ou
2020	A	`conf`	Multiplex Memory Network for Collaborative Filtering. SDM Xunqiang Jiang, Binbin Hu, Yuan Fang, Chuan Shi
2019	A*	`conf`	Adversarial Learning on Heterogeneous Information Networks. KDD Binbin Hu, Yuan Fang, Chuan Shi
2019	A*	`conf`	Cash-Out User Detection Based on Attributed Heterogeneous Information Network with a Hierarchical Attention Mechanism. AAAI Binbin Hu, Zhiqiang Zhang, Chuan Shi, Jun Zhou, Xiaolong Li, Yuan Qi
2019	J	`jnl`	Heterogeneous Information Network Embedding for Recommendation. IEEE Trans. Knowl. Data Eng. Chuan Shi, Binbin Hu, Wayne Xin Zhao, Philip S. Yu
2019	J	`jnl`	In-Vehicle Caching (IV-Cache) Via Dynamic Distributed Storage Relay (D$^2$SR) in Vehicular Networks. IEEE Trans. Veh. Technol. Binbin Hu, Luoyang Fang, Xiang Cheng, Liuqing Yang
2019	J	`jnl`	Maximum-Principle-Satisfying and Positivity-Preserving High Order Central DG Methods on Unstructured Overlapping Meshes for Two-Dimensional Hyperbolic Conservation Laws. J. Sci. Comput. Maojun Li, Haiyun Dong, Binbin Hu, Liwei Xu
2019	B	`conf`	Relay Selection Strategy (RSS) Design for In-Vehicle Storage (IVS) System. GLOBECOM Binbin Hu, Rongqing Zhang, Luoyang Fang, Xiang Cheng, Liuqing Yang
2018	—	`conf`	ANE: Network Embedding via Adversarial Autoencoders. BigComp Yang Xiao, Ding Xiao, Binbin Hu, Chuan Shi
2018	—	`conf`	Distributed Hunting for Multi USVs Based on Cyclic Estimation and Pursuit. ICIRA (1) Binbin Hu, Bin Liu, Zhecheng Xu, Tao Geng, Ye Yuan, Hai-Tao Zhang
2018	A*	`conf`	Leveraging Meta-path based Context for Top- N Recommendation with A Neural Co-Attention Model. KDD Binbin Hu, Chuan Shi, Wayne Xin Zhao, Philip S. Yu
2018	A	`conf`	Local and Global Information Fusion for Top-N Recommendation in Heterogeneous Information Network. CIKM Binbin Hu, Chuan Shi, Wayne Xin Zhao, Tianchi Yang
2018	J	`jnl`	MFPR: A Personalized Ranking Recommendation with Multiple Feedback. ACM Trans. Soc. Comput. Chuan Shi, Jian Liu, Yiding Zhang, Binbin Hu, Shenghua Liu, Philip S. Yu
2018	—	`conf`	Matrix Factorization Meets Social Network Embedding for Rating Prediction. APWeb/WAIM (1) Menghao Zhang, Binbin Hu, Chuan Shi, Bin Wu, Bai Wang
2018	B	`conf`	Relay-and-Repair Based in-Vehicle Storage (R GLOBECOM Binbin Hu, Luoyang Fang, Xiang Cheng, Liuqing Yang
2018	—	`conf`	Vehicle-to-Vehicle Distributed Storage in Vehicular Networks. ICC Binbin Hu, Luoyang Fang, Xiang Cheng, Liuqing Yang
2017	—	`conf`	Distributed Consensus Control of Multi-USV Systems. ICIRA (1) Bin Liu, Hai-Tao Zhang, Yue Wu, Binbin Hu
2017	J	`jnl`	Heterogeneous Information Network Embedding for Recommendation. CoRR Chuan Shi, Binbin Hu, Wayne Xin Zhao, Philip S. Yu
2017	—	`conf`	Local Low-Rank Matrix Approximation with Preference Selection of Anchor Points. WWW (Companion Volume) Menghao Zhang, Binbin Hu, Chuan Shi, Bai Wang
2017	—	`conf`	Personalized Ranking Recommendation via Integrating Multiple Feedbacks. PAKDD (2) Jian Liu, Chuan Shi, Binbin Hu, Shenghua Liu, Philip S. Yu
2017	C	`conf`	Playlist Recommendation Based on Reinforcement Learning. ICIS Binbin Hu, Chuan Shi, Jian Liu
2015	—	`conf`	GIS-based indoor pedestrian evacuation simulation combining the particle swarm optimization and the floor field model. Geoinformatics Wei Zhang, Yong Zhou, Wenjun Tian, Binbin Hu
2015	—	`conf`	Weighted bilateral filtering using relative difference between pixels. ICDIP Li Ma, Yuqi Zhang, Binbin Hu, Ming-Yang Zheng
2014	J	`jnl`	An Important Frame Distinction Model of Stereoscopic Video Based on Content. J. Multim. Xiaodong Wang, Tengfei Wang, Binbin Hu, Gangyi Jiang, Lianjun Zhang