Zhiqiang Zhang

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 85

Top Topics

Item Recommendation

Relational Graph

Top Venues

Publications

Chenguang Du, Hao Geng, Deqing Wang, Fuzhen Zhuang, Zhiqiang Zhang, Lanshan Zhang
Exploiting Associations among Multi-Aspect Node Properties in Heterogeneous Graphs for Link Prediction. WWW (Companion Volume) (2024)
Lei Liu, Xiaoyan Yang, Fangzhou Li, Chenfei Chi, Yue Shen, Shiwei Lyu, Ming Zhang, Xiaowei Ma, Xianguo Lyu, Liya Ma, Zhiqiang Zhang, Wei Xue, Yiran Huang, Jinjie Gu
Towards Automatic Evaluation for LLMs' Clinical Capabilities: Metric, Data, and Algorithm. CoRR (2024)
Lei Liu, Xiaoyan Yang, Fangzhou Li, Chenfei Chi, Yue Shen, Shiwei Lyu, Ming Zhang, Xiaowei Ma, Xiangguo Lv, Liya Ma, Zhiqiang Zhang, Wei Xue, Yiran Huang, Jinjie Gu
Towards Automatic Evaluation for LLMs' Clinical Capabilities: Metric, Data, and Algorithm. KDD (2024)
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)
Xin Wang, Heng Chang, Beini Xie, Tian Bian, Shiji Zhou, Daixin Wang, Zhiqiang Zhang, Wenwu Zhu
Revisiting Adversarial Attacks on Graph Neural Networks for Graph Classification. IEEE Trans. Knowl. Data Eng. 36 (5) (2024)
Shaowei Wei, Zhengwei Wu, Xin Li, Qintong Wu, Zhiqiang Zhang, Jun Zhou, Lihong Gu, Jinjie Gu
Leave No One Behind: Online Self-Supervised Self-Distillation for Sequential Recommendation. CoRR (2024)
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 (2024)
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 (2024)
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)
Boxin Zhao, Weishi Wang, Dingyuan Zhu, Ziqi Liu, Dong Wang, Zhiqiang Zhang, Jun Zhou, Mladen Kolar
Personalized Binomial DAGs Learning with Network Structured Covariates. CoRR (2024)
Lei Liu, Xiaoyan Yang, Junchi Lei, Xiaoyang Liu, Yue Shen, Zhiqiang Zhang, Peng Wei, Jinjie Gu, Zhixuan Chu, Zhan Qin, Kui Ren
A Survey on Medical Large Language Models: Technology, Application, Trustworthiness, and Future Directions. CoRR (2024)
Shaowei Wei, Zhengwei Wu, Xin Li, Qintong Wu, Zhiqiang Zhang, Jun Zhou, Lihong Gu, Jinjie Gu
Leave No One Behind: Online Self-Supervised Self-Distillation for Sequential Recommendation. WWW (2024)
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 (2024)
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)
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)
Changxin Tian, Binbin Hu, Wayne Xin Zhao, Zhiqiang Zhang, Jun Zhou
Periodicity May Be Emanative: Hierarchical Contrastive Learning for Sequential Recommendation. CIKM (2023)
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)
Yonghui Yang, Zhengwei Wu, Le Wu, Kun Zhang, Richang Hong, Zhiqiang Zhang, Jun Zhou, Meng Wang
Generative Contrastive Graph Learning for Recommendation. CoRR (2023)
Dingyuan Zhu, Daixin Wang, Zhiqiang Zhang, Kun Kuang, Yan Zhang, Yulin Kang, Jun Zhou
Graph Neural Network with Two Uplift Estimators for Label-Scarcity Individual Uplift Modeling. WWW (2023)
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)
Beini Xie, Heng Chang, Ziwei Zhang, Xin Wang, Daixin Wang, Zhiqiang Zhang, Rex Ying, Wenwu Zhu
Adversarially Robust Neural Architecture Search for Graph Neural Networks. CoRR (2023)
Daixin Wang, Zhiqiang Zhang, Yeyu Zhao, Kai Huang, Yulin Kang, Jun Zhou
Financial Default Prediction via Motif-preserving Graph Neural Network with Curriculum Learning. KDD (2023)
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)
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)
Shaowei Wei, Zhengwei Wu, Zhiqiang Zhang, Jun Zhou
Boosting Adaptive Graph Augmented MLPs via Customized Knowledge Distillation. ECML/PKDD (3) (2023)
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)
Shiwei Lyu, Chenfei Chi, Hongbo Cai, Lei Shi, Xiaoyan Yang, Lei Liu, Xiang Chen, Deng Zhao, Zhiqiang Zhang, Xianguo Lyu, Ming Zhang, Fangzhou Li, Xiaowei Ma, Yue Shen, Jinjie Gu, Wei Xue, Yiran Huang
RJUA-QA: A Comprehensive QA Dataset for Urology. CoRR (2023)
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)
Lei Chen, Le Wu, Kun Zhang, Richang Hong, Defu Lian, Zhiqiang Zhang, Jun Zhou, Meng Wang
Improving Recommendation Fairness via Data Augmentation. WWW (2023)
Qinghua Zheng, Zhen Peng, Zhuohang Dang, Linchao Zhu, Ziqi Liu, Zhiqiang Zhang, Jun Zhou
Deep Tabular Data Modeling With Dual-Route Structure-Adaptive Graph Networks. IEEE Trans. Knowl. Data Eng. 35 (9) (2023)
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 (2023)
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)
Qian Zhao, Zhengwei Wu, Zhiqiang Zhang, Jun Zhou
Long-tail Augmented Graph Contrastive Learning for Recommendation. CoRR (2023)
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)
Yonghui Yang, Zhengwei Wu, Le Wu, Kun Zhang, Richang Hong, Zhiqiang Zhang, Jun Zhou, Meng Wang
Generative-Contrastive Graph Learning for Recommendation. SIGIR (2023)
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)
Qian Zhao, Zhengwei Wu, Zhiqiang Zhang, Jun Zhou
Long-Tail Augmented Graph Contrastive Learning for Recommendation. ECML/PKDD (4) (2023)
Hao Qian, Qintong Wu, Minghao Li, Zhengwei Wu, Zhiqiang Zhang, Jun Zhou, Lihong Gu, Jinjie Gu
FwSeqBlock: A Field-wise Approach for Modeling Behavior Representation in Sequential Recommendation. CIKM (2022)
Yupeng Hou, Binbin Hu, Zhiqiang Zhang, Wayne Xin Zhao
CORE: Simple and Effective Session-based Recommendation within Consistent Representation Space. SIGIR (2022)
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)
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)
Zhigang Huangfu, Gongduo Zhang, Zhengwei Wu, Qintong Wu, Zhiqiang Zhang, Lihong Gu, Jun Zhou, Jinjie Gu
A Multi-Task Learning Approach for Delayed Feedback Modeling. WWW (Companion Volume) (2022)
Yupeng Hou, Binbin Hu, Zhiqiang Zhang, Wayne Xin Zhao
CORE: Simple and Effective Session-based Recommendation within Consistent Representation Space. CoRR (2022)
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)
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)
Daixin Wang, Zujian Weng, Zhengwei Wu, Zhiqiang Zhang, Peng Cui, Hongwei Zhao, Jun Zhou
A Graph Learning Based Framework for Billion-Scale Offline User Identification. KDD (2022)
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 (2022)
Binbin Hu, Zhiyang Hu, Zhiqiang Zhang, Jun Zhou, Chuan Shi
KGNN: Distributed Framework for Graph Neural Knowledge Representation. CoRR (2022)
Jun Zhou, Chaochao Chen, Longfei Li, Zhiqiang Zhang, Xiaolin Zheng
FinBrain 2.0: when finance meets trustworthy AI. Frontiers Inf. Technol. Electron. Eng. 23 (12) (2022)
Deyu Bo, Binbin Hu, Xiao Wang, Zhiqiang Zhang, Chuan Shi, Jun Zhou
Regularizing Graph Neural Networks via Consistency-Diversity Graph Augmentations. AAAI (2022)
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)
Binbin Hu, Zhengwei Wu, Jun Zhou, Ziqi Liu, Zhigang Huangfu, Zhiqiang Zhang, Chaochao Chen
MERIT: Learning Multi-level Representations on Temporal Graphs. IJCAI (2022)
Mengmei Zhang, Xiao Wang, Meiqi Zhu, Chuan Shi, Zhiqiang Zhang, Jun Zhou
Robust Heterogeneous Graph Neural Networks against Adversarial Attacks. AAAI (2022)
Beini Xie, Heng Chang, Xin Wang, Tian Bian, Shiji Zhou, Daixin Wang, Zhiqiang Zhang, Wenwu Zhu
Revisiting Adversarial Attacks on Graph Neural Networks for Graph Classification. CoRR (2022)
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)
Kai Zhang, Hao Qian, Qi Liu, Zhiqiang Zhang, Jun Zhou, Jianhui Ma, Enhong Chen
SIFN: A Sentiment-aware Interactive Fusion Network for Review-based Item Recommendation. CoRR (2021)
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)
Kai Zhang, Hao Qian, Qi Liu, Zhiqiang Zhang, Jun Zhou, Jianhui Ma, Enhong Chen
SIFN: A Sentiment-aware Interactive Fusion Network for Review-based Item Recommendation. CIKM (2021)
Daixin Wang, Zhiqiang Zhang, Jun Zhou, Peng Cui, Jingli Fang, Quanhui Jia, Yanming Fang, Yuan Qi
Temporal-Aware Graph Neural Network for Credit Risk Prediction. SDM (2021)
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)
Zhibo Zhu, Ziqi Liu, Ge Jin, Zhiqiang Zhang, Lei Chen, Jun Zhou, Jianyong Zhou
MixSeq: Connecting Macroscopic Time Series Forecasting with Microscopic Time Series Data. NeurIPS (2021)
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)
Chenyi Zhuang, Ziqi Liu, Zhiqiang Zhang, Yize Tan, Zhengwei Wu, Zhining Liu, Jianping Wei, Jinjie Gu, Guannan Zhang, Jun Zhou, Yuan Qi
Hubble: An Industrial System for Audience Expansion in Mobile Marketing. KDD (2020)
Jinghan Shi, Houye Ji, Chuan Shi, Xiao Wang, Zhiqiang Zhang, Jun Zhou
Heterogeneous Graph Neural Network for Recommendation. CoRR (2020)
Dalong Zhang, Xin Huang, Ziqi Liu, Jun Zhou, Zhiyang Hu, Xianzheng Song, Zhibang Ge, Lin Wang, Zhiqiang Zhang, Yuan Qi
AGL: A Scalable System for Industrial-purpose Graph Machine Learning. Proc. VLDB Endow. 13 (12) (2020)
Dalong Zhang, Xianzheng Song, Ziqi Liu, Zhiqiang Zhang, Xin Huang, Lin Wang, Jun Zhou
DSSLP: A Distributed Framework for Semi-supervised Link Prediction. CoRR (2020)
Shuo Yang, Zhiqiang Zhang, Jun Zhou, Yang Wang, Wang Sun, Xingyu Zhong, Yanming Fang, Quan Yu, Yuan Qi
Financial Risk Analysis for SMEs with Graph-based Supply Chain Mining. IJCAI (2020)
Dalong Zhang, Xin Huang, Ziqi Liu, Zhiyang Hu, Xianzheng Song, Zhibang Ge, Zhiqiang Zhang, Lin Wang, Jun Zhou, Shuang Yang, Yuan Qi
AGL: a Scalable System for Industrial-purpose Graph Machine Learning. CoRR (2020)
Zhiqiang Zhang, Jun Zhou, Chuan Shi
EasyGML: A Fully-functional and Easy-to-use Platform for Industrial Graph Machine Learning. CIKM (2020)
Jianbin Lin, Zhiqiang Zhang, Jun Zhou, Xiaolong Li, Jingli Fang, Yanming Fang, Quan Yu, Yuan Qi
NetDP: An Industrial-Scale Distributed Network Representation Framework for Default Prediction in Ant Credit Pay. CoRR (2020)
Yufei Feng, Binbin Hu, Fuyu Lv, Qingwen Liu, Zhiqiang Zhang, Wenwu Ou
ATBRG: Adaptive Target-Behavior Relational Graph Network for Effective Recommendation. CoRR (2020)
Ziqi Liu, Zhengwei Wu, Zhiqiang Zhang, Jun Zhou, Shuang Yang, Le Song, Yuan Qi
Bandit Samplers for Training Graph Neural Networks. NeurIPS (2020)
Ziqi Liu, Zhengwei Wu, Zhiqiang Zhang, Jun Zhou, Shuang Yang, Le Song, Yuan Qi
Bandit Samplers for Training Graph Neural Networks. CoRR (2020)
Yufei Feng, Binbin Hu, Fuyu Lv, Qingwen Liu, Zhiqiang Zhang, Wenwu Ou
ATBRG: Adaptive Target-Behavior Relational Graph Network for Effective Recommendation. SIGIR (2020)
Ziqi Liu, Dong Wang, Qianyu Yu, Zhiqiang Zhang, Yue Shen, Jian Ma, Wenliang Zhong, Jinjie Gu, Jun Zhou, Shuang Yang, Yuan Qi
Graph Representation Learning for Merchant Incentive Optimization in Mobile Payment Marketing. CoRR (2020)
Ya-Lin Zhang, Jun Zhou, Wenhao Zheng, Ji Feng, Longfei Li, Ziqi Liu, Ming Li, Zhiqiang Zhang, Chaochao Chen, Xiaolong Li, Yuan (Alan) Qi, Zhi-Hua Zhou
Distributed Deep Forest and its Application to Automatic Detection of Cash-Out Fraud. ACM Trans. Intell. Syst. Technol. 10 (5) (2019)
Dalong Zhang, Xianzheng Song, Ziqi Liu, Zhiqiang Zhang, Xin Huang, Lin Wang, Jun Zhou
DSSLP: A Distributed Framework for Semi-supervised Link Prediction. IEEE BigData (2019)
Ziqi Liu, Dong Wang, Qianyu Yu, Zhiqiang Zhang, Yue Shen, Jian Ma, Wenliang Zhong, Jinjie Gu, Jun Zhou, Shuang Yang, Yuan Qi
Graph Representation Learning for Merchant Incentive Optimization in Mobile Payment Marketing. CIKM (2019)
Chuan Shi, Zhiqiang Zhang, Yugang Ji, Weipeng Wang, Philip S. Yu, Zhiping Shi
SemRec: a personalized semantic recommendation method based on weighted heterogeneous information networks. World Wide Web 22 (1) (2019)
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)
Jianbin Lin, Zhiqiang Zhang, Jun Zhou, Xiaolong Li, Jingli Fang, Yanming Fang, Quan Yu, Yuan (Alan) Qi
NetDP: An Industrial-Scale Distributed Network Representation Framework for Default Prediction in Ant Credit Pay. IEEE BigData (2018)
Ya-Lin Zhang, Jun Zhou, Wenhao Zheng, Ji Feng, Longfei Li, Ziqi Liu, Ming Li, Zhiqiang Zhang, Chaochao Chen, Xiaolong Li, Zhi-Hua Zhou
Distributed Deep Forest and its Application to Automatic Detection of Cash-out Fraud. CoRR (2018)
Zhiqiang Zhang, Chaochao Chen, Jun Zhou, Xiaolong Li
An Industrial-Scale System for Heterogeneous Information Card Ranking in Alipay. DASFAA (2) (2018)
Fuzhen Zhuang, Zhiqiang Zhang, Mingda Qian, Chuan Shi, Xing Xie, Qing He
Representation learning via Dual-Autoencoder for recommendation. Neural Networks 90 (2017)
Jiawei Hu, Zhiqiang Zhang, Jian Liu, Chuan Shi, Philip S. Yu, Bai Wang
RecExp: A Semantic Recommender System with Explanation Based on Heterogeneous Information Network. RecSys (2016)
Chuan Shi, Zhiqiang Zhang, Ping Luo, Philip S. Yu, Yading Yue, Bin Wu
Semantic Path based Personalized Recommendation on Weighted Heterogeneous Information Networks. CIKM (2015)