An Important Frame Distinction Model of Stereoscopic Video Based on Content. - Xiaodong Wang; Tengfei Wang; Binbin Hu; Gangyi Jiang; Lianjun Zhang (J. Multim., 2014)

GIS-based indoor pedestrian evacuation simulation combining the particle swarm optimization and the floor field model. - Wei Zhang; Yong Zhou; Wenjun Tian; Binbin Hu (Geoinformatics, 2015)

Weighted bilateral filtering using relative difference between pixels. - Li Ma; Yuqi Zhang; Binbin Hu; Ming-Yang Zheng (ICDIP, 2015)

Distributed Consensus Control of Multi-USV Systems. - Bin Liu 022; Hai-Tao Zhang; Yue Wu; Binbin Hu (ICIRA (1), 2017)

Playlist Recommendation Based on Reinforcement Learning. - Binbin Hu; Chuan Shi 001; Jian Liu 001 (ICIS, 2017)

Personalized Ranking Recommendation via Integrating Multiple Feedbacks. - Jian Liu 001; Chuan Shi 001; Binbin Hu; Shenghua Liu; Philip S. Yu (PAKDD (2), 2017)

Local Low-Rank Matrix Approximation with Preference Selection of Anchor Points. - Menghao Zhang 002; Binbin Hu; Chuan Shi 001; Bai Wang 001 (WWW (Companion Volume), 2017)

Matrix Factorization Meets Social Network Embedding for Rating Prediction. - Menghao Zhang 002; Binbin Hu; Chuan Shi 001; Bin Wu 001; Bai Wang 001 (APWeb/WAIM (1), 2018)

ANE: Network Embedding via Adversarial Autoencoders. - Yang Xiao 017; Ding Xiao; Binbin Hu; Chuan Shi 001 (BigComp, 2018)

Local and Global Information Fusion for Top-N Recommendation in Heterogeneous Information Network. - Binbin Hu; Chuan Shi 001; Wayne Xin Zhao; Tianchi Yang (CIKM, 2018)

Relay-and-Repair Based in-Vehicle Storage (R2IVS) System in Vehicular Networks. - Binbin Hu; Luoyang Fang; Xiang Cheng 001; Liuqing Yang 001 (GLOBECOM, 2018)

Vehicle-to-Vehicle Distributed Storage in Vehicular Networks. - Binbin Hu; Luoyang Fang; Xiang Cheng 001; Liuqing Yang 001 (ICC, 2018)

Distributed Hunting for Multi USVs Based on Cyclic Estimation and Pursuit. - Binbin Hu; Bin Liu; Zhecheng Xu; Tao Geng; Ye Yuan 002; Hai-Tao Zhang (ICIRA (1), 2018)

Leveraging Meta-path based Context for Top- N Recommendation with A Neural Co-Attention Model. - Binbin Hu; Chuan Shi 001; Wayne Xin Zhao; Philip S. Yu (KDD, 2018)

MFPR: A Personalized Ranking Recommendation with Multiple Feedback. - Chuan Shi 001; Jian Liu 001; Yiding Zhang; Binbin Hu; Shenghua Liu; Philip S. Yu (ACM Trans. Soc. Comput., 2018)

Cash-Out User Detection Based on Attributed Heterogeneous Information Network with a Hierarchical Attention Mechanism. - Binbin Hu; Zhiqiang Zhang 012; Chuan Shi 001; Jun Zhou 011; Xiaolong Li 005; Yuan Qi 001 (AAAI, 2019)

Relay Selection Strategy (RSS) Design for In-Vehicle Storage (IVS) System. - Binbin Hu; Rongqing Zhang 001; Luoyang Fang; Xiang Cheng 001; Liuqing Yang 001 (GLOBECOM, 2019)

Adversarial Learning on Heterogeneous Information Networks. - Binbin Hu; Yuan Fang 001; Chuan Shi 001 (KDD, 2019)

Maximum-Principle-Satisfying and Positivity-Preserving High Order Central DG Methods on Unstructured Overlapping Meshes for Two-Dimensional Hyperbolic Conservation Laws. - Maojun Li; Haiyun Dong; Binbin Hu; Liwei Xu (J. Sci. Comput., 2019)

Heterogeneous Information Network Embedding for Recommendation. - Chuan Shi 001; Binbin Hu; Wayne Xin Zhao; Philip S. Yu (IEEE Trans. Knowl. Data Eng., 2019)

In-Vehicle Caching (IV-Cache) Via Dynamic Distributed Storage Relay (D$^2$SR) in Vehicular Networks. - Binbin Hu; Luoyang Fang; Xiang Cheng 001; Liuqing Yang 001 (IEEE Trans. Veh. Technol., 2019)

MTBRN: Multiplex Target-Behavior Relation Enhanced Network for Click-Through Rate Prediction. - Yufei Feng; Fuyu Lv; Binbin Hu; Fei Sun 001; Kun Kuang; Yang Liu; Qingwen Liu 002; Wenwu Ou (CIKM, 2020)

EdgeRec: Recommender System on Edge in Mobile Taobao. - Yu Gong; Ziwen Jiang; Yufei Feng; Binbin Hu; Kaiqi Zhao 001; Qingwen Liu 002; Wenwu Ou (CIKM, 2020)

Loan Default Analysis with Multiplex Graph Learning. - Binbin Hu; Zhiqiang Zhang 012; Jun Zhou 011; Jingli Fang; Quanhui Jia; Yanming Fang; Quan Yu; Yuan Qi 001 (CIKM, 2020)

Multiplex Memory Network for Collaborative Filtering. - Xunqiang Jiang; Binbin Hu; Yuan Fang 001; Chuan Shi 001 (SDM, 2020)

ATBRG: Adaptive Target-Behavior Relational Graph Network for Effective Recommendation. - Yufei Feng; Binbin Hu; Fuyu Lv; Qingwen Liu 002; Zhiqiang Zhang 012; Wenwu Ou (SIGIR, 2020)

Financial Defaulter Detection on Online Credit Payment via Multi-view Attributed Heterogeneous Information Network. - Qiwei Zhong; Yang Liu 200; Xiang Ao 001; Binbin Hu; Jinghua Feng; Jiayu Tang; Qing He 003 (WWW, 2020)

Heterogeneous Graph Structure Learning for Graph Neural Networks. - Jianan Zhao 002; Xiao Wang 017; Chuan Shi 001; Binbin Hu; Guojie Song; Yanfang Ye 001 (AAAI, 2021)

A Graph Attention Network Model for GMV Forecast on Online Shopping Festival. - Qianyu Yu 001; Shuo Yang; Zhiqiang Zhang 012; Ya-Lin Zhang 001; Binbin Hu; Ziqi Liu; Kai Huang; Xingyu Zhong; Jun Zhou 011; Yanming Fang (APWeb/WAIM (1), 2021)

Counterfactual Review-based Recommendation. - Kun Xiong; Wenwen Ye; Xu Chen 017; Yongfeng Zhang; Wayne Xin Zhao; Binbin Hu; Zhiqiang Zhang 012; Jun Zhou 011 (CIKM, 2021)

Graph Attention Networks for New Product Sales Forecasting in E-Commerce. - Chuanyu Xu; Xiuchong Wang; Binbin Hu; Da Zhou; Yu Dong; Chengfu Huo; Weijun Ren (DASFAA (3), 2021)

Multivariate Data Fusion Method Based on 3DGIS and its Application in Engineering Management. - Chengkun Liu; Rui Ma; Binbin Hu; Qingsong Fan (EITCE, 2021)

IntelliTag: An Intelligent Cloud Customer Service System Based on Tag Recommendation. - Minghui Yang; Shaosheng Cao; Binbin Hu; Xianling Chen; Hengbin Cui; Zhiqiang Zhang 012; Jun Zhou 011; Xiaolong Li 005 (ICDE, 2021)

Autonomous Landing Allocation of Multiple Unmanned Aerial Vehicles on Multiple Unmanned Surface Vessels Subject to Energy Consumption. - Jingtian Ye; Binbin Hu; Zhecheng Xu; Bin Liu; Hai-Tao Zhang (ICIRA (3), 2021)

Inductive Link Prediction with Interactive Structure Learning on Attributed Graph. - Shuo Yang; Binbin Hu; Zhiqiang Zhang 012; Wang Sun; Yang Wang; Jun Zhou 011; Hongyu Shan; Yuetian Cao; Borui Ye; Yanming Fang; Quan Yu (ECML/PKDD (2), 2021)

GRN: Generative Rerank Network for Context-wise Recommendation. - Yufei Feng; Binbin Hu; Yu Gong; Fei Sun 001; Qingwen Liu 002; Wenwu Ou (CoRR, 2021)

Multiple-Target Surrounding and Collision Avoidance With Second-Order Nonlinear Multiagent Systems. - Binbin Hu; Hai-Tao Zhang; Jun Wang 002 (IEEE Trans. Ind. Electron., 2021)

Visual Navigation and Landing Control of an Unmanned Aerial Vehicle on a Moving Autonomous Surface Vehicle via Adaptive Learning. - Hai-Tao Zhang; Binbin Hu; Zhecheng Xu; Zhi Cai; Bin Liu; Xudong Wang; Tao Geng; Sheng Zhong 001; Jin Zhao (IEEE Trans. Neural Networks Learn. Syst., 2021)

Regularizing Graph Neural Networks via Consistency-Diversity Graph Augmentations. - Deyu Bo; Binbin Hu; Xiao Wang 017; Zhiqiang Zhang 012; Chuan Shi 001; Jun Zhou 011 (AAAI, 2022)

Intent Mining: A Social and Semantic Enhanced Topic Model for Operation-Friendly Digital Marketing. - Weifan Wang 005; Xiaocheng Cheng; Ziqi Liu; Yu Lin; Yue Shen; Binbin Hu; Zhiqiang Zhang 012; Xiaodong Zeng; Jun Zhou 011; Jinjie Gu; Minnan Luo (ICDE, 2022)

Gaia: Graph Neural Network with Temporal Shift aware Attention for Gross Merchandise Value Forecast in E-commerce. - Borui Ye; Shuo Yang; Binbin Hu; Zhiqiang Zhang 012; Youqiang He; Kai Huang; Jun Zhou 011; Yanming Fang (ICDE, 2022)

MERIT: Learning Multi-level Representations on Temporal Graphs. - Binbin Hu; Zhengwei Wu; Jun Zhou 011; Ziqi Liu; Zhigang Huangfu; Zhiqiang Zhang 012; Chaochao Chen 001 (IJCAI, 2022)

Mixture of Graph Enhanced Expert Networks for Multi-task Recommendation. - Binbin Hu; Bin Shen; Ruize Wu; Zhiqiang Zhang 012; Yuetian Cao; Yong He 009; Liang Zhang; Linjian Mo; Jun Zhou 011 (PRICAI (3), 2022)

Neural Graph Matching for Pre-training Graph Neural Networks. - Yupeng Hou; Binbin Hu; Wayne Xin Zhao; Zhiqiang Zhang 012; Jun Zhou 011; Ji-Rong Wen (SDM, 2022)

CORE: Simple and Effective Session-based Recommendation within Consistent Representation Space. - Yupeng Hou; Binbin Hu; Zhiqiang Zhang 012; Wayne Xin Zhao (SIGIR, 2022)

Confidence May Cheat: Self-Training on Graph Neural Networks under Distribution Shift. - Hongrui Liu; Binbin Hu; Xiao Wang 017; Chuan Shi 001; Zhiqiang Zhang 012; Jun Zhou 011 (WWW, 2022)

An Effective Graph Learning based Approach for Temporal Link Prediction: The First Place of WSDM Cup 2022. - Qian Zhao; Shuo Yang; Binbin Hu; Zhiqiang Zhang 012; Yakun Wang 001; Yusong Chen; Jun Zhou 011; Chuan Shi 001 (CoRR, 2022)

KGNN: Distributed Framework for Graph Neural Knowledge Representation. - Binbin Hu; Zhiyang Hu; Zhiqiang Zhang 012; Jun Zhou 011; Chuan Shi 001 (CoRR, 2022)

Distributed Moving Target Fencing in a Regular Polygon Formation. - Binbin Hu; Zhiyong Chen 001; Hai-Tao Zhang (IEEE Trans. Control. Netw. Syst., 2022)

Distributed Surrounding Control of Multiple Unmanned Surface Vessels With Varying Interconnection Topologies. - Binbin Hu; Hai-Tao Zhang; Bin Liu 003; Haofei Meng; Guanrong Chen (IEEE Trans. Control. Syst. Technol., 2022)

Bearing-Only Motional Target-Surrounding Control for Multiple Unmanned Surface Vessels. - Binbin Hu; Hai-Tao Zhang (IEEE Trans. Ind. Electron., 2022)

Moving Target Surrounding Control of Linear Multiagent Systems With Input Saturation. - Bowen Xu; Hai-Tao Zhang; Haofei Meng; Binbin Hu; Duxin Chen; Guanrong Chen (IEEE Trans. Syst. Man Cybern. Syst., 2022)

REMIT: Reinforced Multi-Interest Transfer for Cross-Domain Recommendation. - Caiqi Sun; Jiewei Gu; Binbin Hu; Xin Dong 012; Hai Li; Lei Cheng 005; Linjian Mo (AAAI, 2023)

Periodicity May Be Emanative: Hierarchical Contrastive Learning for Sequential Recommendation. - Changxin Tian; Binbin Hu; Wayne Xin Zhao; Zhiqiang Zhang 012; Jun Zhou 011 (CIKM, 2023)

Unsupervised Fraud Transaction Detection on Dynamic Attributed Networks. - Yangyang Hou; Daixin Wang; Binbin Hu; Ruoyu Zhuang; Zhiqiang Zhang 012; Jun Zhou 011; Feng Zhao; Yulin Kang; Zhanwen Qiao (DASFAA (4), 2023)

A Scalable Social Recommendation Framework with Decoupled Graph Neural Network. - Ke Tu; Zhengwei Wu; Binbin Hu; Zhiqiang Zhang 012; Peng Cui 001; Xiaolong Li 005; Jun Zhou 011 (DASFAA (4), 2023)

GARCIA: Powering Representations of Long-tail Query with Multi-granularity Contrastive Learning. - Weifan Wang 005; Binbin Hu; Zhicheng Peng; Mingjie Zhong; Zhiqiang Zhang 012; Zhongyi Liu; Guannan Zhang; Jun Zhou 011 (ICDE, 2023)

Who Would be Interested in Services? An Entity Graph Learning System for User Targeting. - Dan Yang 004; Binbin Hu; Xiaoyan Yang; Yue Shen; Zhiqiang Zhang 012; Jinjie Gu; Guannan Zhang (ICDE, 2023)

InferTurbo: A Scalable System for Boosting Full-graph Inference of Graph Neural Network over Huge Graphs. - Dalong Zhang; Xianzheng Song; Zhiyang Hu; Yang Li; Miao Tao; Binbin Hu; Lin Wang 098; Zhiqiang Zhang 012; Jun Zhou 011 (ICDE, 2023)

Commonsense Knowledge Graph towards Super APP and Its Applications in Alipay. - Xiaoling Zang; Binbin Hu; Jun Chu; Zhiqiang Zhang 012; Guannan Zhang; Jun Zhou 011; Wenliang Zhong (KDD, 2023)

Which Matters Most in Making Fund Investment Decisions? A Multi-granularity Graph Disentangled Learning Framework. - Chunjing Gan; Binbin Hu; Bo Huang; Tianyu Zhao; Yingru Lin; Wenliang Zhong; Zhiqiang Zhang 012; Jun Zhou 011; Chuan Shi 001 (SIGIR, 2023)

COUPA: An Industrial Recommender System for Online to Offline Service Platforms. - Sicong Xie; Binbin Hu; Fengze Li; Ziqi Liu; Zhiqiang Zhang 012; Wenliang Zhong; Jun Zhou 011 (SIGIR, 2023)

Movie Ticket, Popcorn, and Another Movie Next Weekend: Time-Aware Service Sequential Recommendation for User Retention. - Xiaoyan Yang; Dong Wang 062; Binbin Hu; Dan Yang 004; Yue Shen; Jinjie Gu; Zhiqiang Zhang 012; Shiwei Lyu; Haipeng Zhang 004; Guannan Zhang (WWW (Companion Volume), 2023)

Think-in-Memory: Recalling and Post-thinking Enable LLMs with Long-Term Memory. - Lei Liu; Xiaoyan Yang; Yue Shen; Binbin Hu; Zhiqiang Zhang 012; Jinjie Gu; Guannan Zhang (CoRR, 2023)

PEACE: Prototype lEarning Augmented transferable framework for Cross-domain rEcommendation. - Chunjing Gan; Bo Huang; Binbin Hu; Jian Ma; Ziqi Liu; Zhiqiang Zhang 012; Jun Zhou 011; Guannan Zhang; Wenliang Zhong (CoRR, 2023)

Making Large Language Models Better Knowledge Miners for Online Marketing with Progressive Prompting Augmentation. - Chunjing Gan; Dan Yang 004; Binbin Hu; Ziqi Liu; Yue Shen; Zhiqiang Zhang 012; Jinjie Gu; Jun Zhou 011; Guannan Zhang (CoRR, 2023)

Intelligent and Accurate Tobacco Curing via Image Recognition and Data Analysis. - Binbin Hu; Ziyang Meng; Yi Chen; Yonglei Jiang; Chunwei Chang; Zengxiang Ke; Jun Chen; Hao Li (J. Circuits Syst. Comput., 2023)

The Devil is in the Sources! Knowledge Enhanced Cross-Domain Recommendation in an Information Bottleneck Perspective. - Binbin Hu; Weifan Wang 005; Shuhan Wang; Ziqi Liu; Bin Shen; Yong He 009; Jiawei Chen 007 (CIKM, 2024)

To Explore or Exploit? A Gradient-informed Framework to Address the Feedback Loop for Graph based Recommendation. - Zhigang Huangfu; Binbin Hu; Zhengwei Wu; Fengyu Han; Gong-Duo Zhang; Lihong Gu; Zhiqiang Zhang 012 (CIKM, 2024)

Granola: Graph Neural Network Tackling Tabular Data for Online Loan Default Prediction. - Borui Ye; Shuo Yang; Meiqi Zhu; Binbin Hu; Daixin Wang; Zhiqiang Zhang 012; Youqiang He; Zhiyang Hu; Huimei He; Jun Zhou 011 (DASFAA (7), 2024)

Learning to Plan for Retrieval-Augmented Large Language Models from Knowledge Graphs. - Junjie Wang; Mingyang Chen; Binbin Hu; Dan Yang 004; Ziqi Liu; Yue Shen; Peng Wei; Zhiqiang Zhang 012; Jinjie Gu; Jun Zhou 011; Jeff Z. Pan; Wen Zhang 015; et al. (EMNLP (Findings), 2024)

Non-Stationary QoE-Driven Online Transmission Strategy for Tile-Based 360 Degree Video. - Chang Feng; Shan Zhang 001; Zhiyuan Wang 004; Binbin Hu; Hongbin Luo (GLOBECOM, 2024)

Bidirectional Buffer-Constrained Bitrate Adaptation for Layered 360-degree Video Streaming. - Binbin Hu; Shan Zhang 001; Chang Feng; Zhiyuan Wang 004; Hongbin Luo; Xiao Ma 009 (GLOBECOM, 2024)

DDCDR: A Disentangle-based Distillation Framework for Cross-Domain Recommendation. - Zhicheng An; Zhexu Gu; Li Yu; Ke Tu; Zhengwei Wu; Binbin Hu; Zhiqiang Zhang 012; Lihong Gu; Jinjie Gu (KDD, 2024)

Optimizing Long-tailed Link Prediction in Graph Neural Networks through Structure Representation Enhancement. - Yakun Wang 001; Daixin Wang; Hongrui Liu; Binbin Hu; Yingcui Yan; Qiyang Zhang; Zhiqiang Zhang 012 (KDD, 2024)

Know Your Needs Better: Towards Structured Understanding of Marketer Demands with Analogical Reasoning Augmented LLMs. - Junjie Wang; Dan Yang 004; Binbin Hu; Yue Shen; Wen Zhang 015; Jinjie Gu (KDD, 2024)

PSL: Rethinking and Improving Softmax Loss from Pairwise Perspective for Recommendation. - Weiqin Yang 002; Jiawei Chen 007; Xin Xin 003; Sheng Zhou 004; Binbin Hu; Yan Feng; Chun Chen 001; Can Wang 001 (NeurIPS, 2024)

ReLand: Integrating Large Language Models' Insights into Industrial Recommenders via a Controllable Reasoning Pool. - Changxin Tian; Binbin Hu; Chunjing Gan; Haoyu Chen; Zhuo Zhang; Li Yu; Ziqi Liu; Zhiqiang Zhang 012; Jun Zhou 011; Jiawei Chen 007 (RecSys, 2024)

NativE: Multi-modal Knowledge Graph Completion in the Wild. - Yichi Zhang 009; Zhuo Chen 007; Lingbing Guo; Yajing Xu; Binbin Hu; Ziqi Liu; Wen Zhang 015; Huajun Chen (SIGIR, 2024)

PEACE: Prototype lEarning Augmented transferable framework for Cross-domain rEcommendation. - Chunjing Gan; Bo Huang; Binbin Hu; Jian Ma; Zhiqiang Zhang 012; Jun Zhou 011; Guannan Zhang; Wenliang Zhong (WSDM, 2024)

Not All Negatives Are Worth Attending to: Meta-Bootstrapping Negative Sampling Framework for Link Prediction. - Yakun Wang 001; Binbin Hu; Shuo Yang; Meiqi Zhu; Zhiqiang Zhang 012; Qiyang Zhang; Jun Zhou 011; Guo Ye; Huimei He (WSDM, 2024)

Can Small Language Models be Good Reasoners for Sequential Recommendation? - Yuling Wang; Changxin Tian; Binbin Hu; Yanhua Yu; Ziqi Liu; Zhiqiang Zhang 012; Jun Zhou 011; Liang Pang; Xiao Wang 017 (WWW, 2024)

Know Your Needs Better: Towards Structured Understanding of Marketer Demands with Analogical Reasoning Augmented LLMs. - Junjie Wang; Dan Yang 004; Binbin Hu; Yue Shen; Ziqi Liu; Wen Zhang 015; Jinjie Gu; Zhiqiang Zhang 012 (CoRR, 2024)

MyGO: Discrete Modality Information as Fine-Grained Tokens for Multi-modal Knowledge Graph Completion. - Yichi Zhang 009; Zhuo Chen 007; Lingbing Guo; Yajing Xu; Binbin Hu; Ziqi Liu; Huajun Chen; Wen Zhang 015 (CoRR, 2024)

How Do Recommendation Models Amplify Popularity Bias? An Analysis from the Spectral Perspective. - Siyi Lin; Chongming Gao; Jiawei Chen 007; Sheng Zhou 004; Binbin Hu; Can Wang 001 (CoRR, 2024)

Multi-domain Knowledge Graph Collaborative Pre-training and Prompt Tuning for Diverse Downstream Tasks. - Yichi Zhang 009; Binbin Hu; Zhuo Chen 007; Lingbing Guo; Ziqi Liu; Zhiqiang Zhang 012; Lei Liang 002; Huajun Chen; Wen Zhang 015 (CoRR, 2024)

Mixture of Modality Knowledge Experts for Robust Multi-modal Knowledge Graph Completion. - Yichi Zhang 009; Zhuo Chen 007; Lingbing Guo; Yajing Xu; Binbin Hu; Ziqi Liu; Wen Zhang 015; Huajun Chen (CoRR, 2024)

Your decision path does matter in pre-training industrial recommenders with multi-source behaviors. - Chunjing Gan; Binbin Hu; Bo Huang; Ziqi Liu; Jian Ma; Zhiqiang Zhang 012; Wenliang Zhong; Jun Zhou 011 (CoRR, 2024)

Similarity is Not All You Need: Endowing Retrieval Augmented Generation with Multi Layered Thoughts. - Chunjing Gan; Dan Yang 004; Binbin Hu; Hanxiao Zhang; Siyuan Li; Ziqi Liu; Yue Shen; Lin Ju; Zhiqiang Zhang 012; Jinjie Gu; Lei Liang 001; Jun Zhou 011 (CoRR, 2024)

SegStitch: Multidimensional Transformer for Robust and Efficient Medical Imaging Segmentation. - Shengbo Tan; Zeyu Zhang; Ying Cai; Daji Ergu; Lin Wu; Binbin Hu; Pengzhang Yu; Yang Zhao (CoRR, 2024)

MSDet: Receptive Field Enhanced Multiscale Detection for Tiny Pulmonary Nodule. - Guohui Cai; Ying Cai; Zeyu Zhang; Daji Ergu; Yuanzhouhan Cao; Binbin Hu; Zhibin Liao; Yang Zhao (CoRR, 2024)

The Devil is in the Sources! Knowledge Enhanced Cross-Domain Recommendation in an Information Bottleneck Perspective. - Binbin Hu; Weifan Wang 005; Hanshu Wang; Ziqi Liu; Bin Shen; Yong He 009; Jiawei Chen 007 (CoRR, 2024)

LeaNet: Lightweight U-shaped architecture for high-performance skin cancer image segmentation. - Binbin Hu; Pan Zhou 001; Hongfang Yu; Yueyue Dai; Ming Wang; Shengbo Tan; Ying Sun (Comput. Biol. Medicine, 2024)

Integrating Curing Experience and Fluctuating Leaf Quality in an Intelligent End-Cloud Collaboration. - Ziyang Meng; Hao Li; Xiaoya Cui; Binbin Hu; Yonglei Jiang; Tao Wang; Yi Chen (J. Circuits Syst. Comput., 2024)

Tokenization, Fusion, and Augmentation: Towards Fine-grained Multi-modal Entity Representation. - Yichi Zhang 009; Zhuo Chen 007; Lingbing Guo; Yajing Xu; Binbin Hu; Ziqi Liu; Wen Zhang 015; Huajun Chen (AAAI, 2025)

Unlocking General Long Chain-of-Thought Reasoning Capabilities of Large Language Models via Representation Engineering. - Xinyu Tang 004; Xiaolei Wang 005; Zhihao Lv; Yingqian Min; Xin Zhao 018; Binbin Hu; Ziqi Liu; Zhiqiang Zhang 012 (ACL (1), 2025)

Have We Designed Generalizable Structural Knowledge Promptings? Systematic Evaluation and Rethinking. - Yichi Zhang 009; Zhuo Chen 007; Lingbing Guo; Yajing Xu; Shaokai Chen; Mengshu Sun; Binbin Hu; Zhiqiang Zhang 012; Lei Liang 002; Wen Zhang 015; Huajun Chen (ACL (1), 2025)

Effectively PAIRing LLMs with Online Marketing via Progressive Prompting Augmentation. - Chunjing Gan; Dan Yang 004; Binbin Hu; Ziqi Liu; Yue Shen; Zhiqiang Zhang 012; Jinjie Gu; Jun Zhou 011; Guannan Zhang (ICDE, 2025)

Multiple Heads are Better than One: Mixture of Modality Knowledge Experts for Entity Representation Learning. - Yichi Zhang 009; Zhuo Chen 007; Lingbing Guo; Yajing Xu; Binbin Hu; Ziqi Liu; Wen Zhang 015; Huajun Chen (ICLR, 2025)

Graph Disentangle Causal Model: Enhancing Causal Inference in Networked Observational Data. - Binbin Hu; Zhicheng An; Zhengwei Wu; Ke Tu; Ziqi Liu; Zhiqiang Zhang 012; Jun Zhou 011; Yufei Feng; Jiawei Chen 007 (WSDM, 2025)

How Do Recommendation Models Amplify Popularity Bias? An Analysis from the Spectral Perspective. - Siyi Lin; Chongming Gao; Jiawei Chen 007; Sheng Zhou 004; Binbin Hu; Yan Feng; Chun Chen 001; Can Wang 001 (WSDM, 2025)

Dynamic Graph Transformer with Correlated Spatial-Temporal Positional Encoding. - Zhe Wang 001; Sheng Zhou 004; Jiawei Chen 007; Zhen Zhang 023; Binbin Hu; Yan Feng; Chun Chen 001; Can Wang 001 (WSDM, 2025)

Rankformer: A Graph Transformer for Recommendation based on Ranking Objective. - Sirui Chen; Shen Han; Jiawei Chen 007; Binbin Hu; Sheng Zhou 004; Gang Wang 055; Yan Feng; Chun Chen 001; Can Wang 001 (WWW, 2025)

POLYRAG: Integrating Polyviews into Retrieval-Augmented Generation for Medical Applications. - Chunjing Gan; Dan Yang 004; Binbin Hu; Ziqi Liu; Yue Shen; Zhiqiang Zhang 012; Jian Wang; Jun Zhou 011 (CoRR, 2025)

Enhancing LLM Tool Use with High-quality Instruction Data from Knowledge Graph. - Jingwei Wang; Zai Zhang 002; Hao Qian 003; Chunjing Gan; Binbin Hu; Ziqi Liu; Zhiqiang Zhang 012; Jun Zhou 011; Bin Shi; Bo Dong 001 (CoRR, 2025)