Semantic Path based Personalized Recommendation on Weighted Heterogeneous Information Networks. - Chuan Shi 001; Zhiqiang Zhang 012; Ping Luo 001; Philip S. Yu; Yading Yue; Bin Wu 001 (CIKM, 2015)

RecExp: A Semantic Recommender System with Explanation Based on Heterogeneous Information Network. - Jiawei Hu; Zhiqiang Zhang 012; Jian Liu 001; Chuan Shi 001; Philip S. Yu; Bai Wang 001 (RecSys, 2016)

Representation learning via Dual-Autoencoder for recommendation. - Fuzhen Zhuang; Zhiqiang Zhang 012; Mingda Qian; Chuan Shi 001; Xing Xie 001; Qing He 003 (Neural Networks, 2017)

NetDP: An Industrial-Scale Distributed Network Representation Framework for Default Prediction in Ant Credit Pay. - Jianbin Lin; Zhiqiang Zhang 012; Jun Zhou 011; Xiaolong Li 005; Jingli Fang; Yanming Fang; Quan Yu; Yuan (Alan) Qi (IEEE BigData, 2018)

An Industrial-Scale System for Heterogeneous Information Card Ranking in Alipay. - Zhiqiang Zhang 012; Chaochao Chen 001; Jun Zhou 011; Xiaolong Li 005 (DASFAA (2), 2018)

Distributed Deep Forest and its Application to Automatic Detection of Cash-out Fraud. - Ya-Lin Zhang 001; Jun Zhou 011; Wenhao Zheng 001; Ji Feng; Longfei Li; Ziqi Liu; Ming Li 005; Zhiqiang Zhang 012; Chaochao Chen 001; Xiaolong Li 005; Zhi-Hua Zhou (CoRR, 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)

DSSLP: A Distributed Framework for Semi-supervised Link Prediction. - Dalong Zhang; Xianzheng Song; Ziqi Liu; Zhiqiang Zhang 012; Xin Huang; Lin Wang 098; Jun Zhou 011 (IEEE BigData, 2019)

Graph Representation Learning for Merchant Incentive Optimization in Mobile Payment Marketing. - Ziqi Liu; Dong Wang 062; Qianyu Yu 001; Zhiqiang Zhang 012; Yue Shen; Jian Ma; Wenliang Zhong; Jinjie Gu; Jun Zhou 011; Shuang Yang; Yuan Qi 001 (CIKM, 2019)

Distributed Deep Forest and its Application to Automatic Detection of Cash-Out Fraud. - Ya-Lin Zhang 001; Jun Zhou 011; Wenhao Zheng 001; Ji Feng; Longfei Li; Ziqi Liu; Ming Li 005; Zhiqiang Zhang 012; Chaochao Chen 001; Xiaolong Li 005; Yuan (Alan) Qi; Zhi-Hua Zhou (ACM Trans. Intell. Syst. Technol., 2019)

SemRec: a personalized semantic recommendation method based on weighted heterogeneous information networks. - Chuan Shi 001; Zhiqiang Zhang 012; Yugang Ji; Weipeng Wang; Philip S. Yu; Zhiping Shi 002 (World Wide Web, 2019)

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)

EasyGML: A Fully-functional and Easy-to-use Platform for Industrial Graph Machine Learning. - Zhiqiang Zhang 012; Jun Zhou 011; Chuan Shi 001 (CIKM, 2020)

Financial Risk Analysis for SMEs with Graph-based Supply Chain Mining. - Shuo Yang; Zhiqiang Zhang 012; Jun Zhou 011; Yang Wang; Wang Sun; Xingyu Zhong; Yanming Fang; Quan Yu; Yuan Qi 001 (IJCAI, 2020)

Hubble: An Industrial System for Audience Expansion in Mobile Marketing. - Chenyi Zhuang; Ziqi Liu; Zhiqiang Zhang 012; Yize Tan; Zhengwei Wu; Zhining Liu 001; Jianping Wei; Jinjie Gu; Guannan Zhang; Jun Zhou 011; Yuan Qi 001 (KDD, 2020)

Bandit Samplers for Training Graph Neural Networks. - Ziqi Liu; Zhengwei Wu; Zhiqiang Zhang 012; Jun Zhou 011; Shuang Yang; Le Song; Yuan Qi 001 (NeurIPS, 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)

AGL: a Scalable System for Industrial-purpose Graph Machine Learning. - Dalong Zhang; Xin Huang; Ziqi Liu; Zhiyang Hu; Xianzheng Song; Zhibang Ge; Zhiqiang Zhang 012; Lin Wang 098; Jun Zhou 011; Shuang Yang; Yuan Qi 001 (CoRR, 2020)

Heterogeneous Graph Neural Network for Recommendation. - Jinghan Shi; Houye Ji; Chuan Shi 001; Xiao Wang 017; Zhiqiang Zhang 012; Jun Zhou 011 (CoRR, 2020)

AGL: A Scalable System for Industrial-purpose Graph Machine Learning. - Dalong Zhang; Xin Huang; Ziqi Liu; Jun Zhou 011; Zhiyang Hu; Xianzheng Song; Zhibang Ge; Lin Wang 098; Zhiqiang Zhang 012; Yuan Qi 001 (Proc. VLDB Endow., 2020)

Joint Incentive Optimization of Customer and Merchant in Mobile Payment Marketing. - Li Yu; Zhengwei Wu; Tianchi Cai; Ziqi Liu; Zhiqiang Zhang 012; Lihong Gu; Xiaodong Zeng; Jinjie Gu (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)

Learning Representations of Inactive Users: A Cross Domain Approach with Graph Neural Networks. - Ziqi Liu; Yue Shen; Xiaocheng Cheng; Qiang Li 022; Jianping Wei; Zhiqiang Zhang 012; Dong Wang 062; Xiaodong Zeng; Jinjie Gu; Jun Zhou 011 (CIKM, 2021)

Conditional Graph Attention Networks for Distilling and Refining Knowledge Graphs in Recommendation. - Ke Tu; Peng Cui 001; Daixin Wang; Zhiqiang Zhang 012; Jun Zhou 011; Yuan Qi 001; Wenwu Zhu 001 (CIKM, 2021)

Low-dimensional Alignment for Cross-Domain Recommendation. - Tianxin Wang; Fuzhen Zhuang; Zhiqiang Zhang 012; Daixin Wang; Jun Zhou 011; Qing He 003 (CIKM, 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)

SIFN: A Sentiment-aware Interactive Fusion Network for Review-based Item Recommendation. - Kai Zhang 038; Hao Qian 003; Qi Liu 003; Zhiqiang Zhang 012; Jun Zhou 011; Jianhui Ma; Enhong Chen (CIKM, 2021)

LinkLouvain: Link-Aware A/B Testing and Its Application on Online Marketing Campaign. - Tianchi Cai; Daxi Cheng; Chen Liang; Ziqi Liu; Lihong Gu; Huizhi Xie; Zhiqiang Zhang 012; Xiaodong Zeng; Jinjie Gu (DASFAA (3), 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)

User Retention: A Causal Approach with Triple Task Modeling. - Yang Zhang; Dong Wang 062; Qiang Li 022; Yue Shen; Ziqi Liu; Xiaodong Zeng; Zhiqiang Zhang 012; Jinjie Gu; Derek F. Wong (IJCAI, 2021)

MixSeq: Connecting Macroscopic Time Series Forecasting with Microscopic Time Series Data. - Zhibo Zhu; Ziqi Liu; Ge Jin; Zhiqiang Zhang 012; Lei Chen 051; Jun Zhou 011; Jianyong Zhou (NeurIPS, 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)

Temporal-Aware Graph Neural Network for Credit Risk Prediction. - Daixin Wang; Zhiqiang Zhang 012; Jun Zhou 011; Peng Cui 001; Jingli Fang; Quanhui Jia; Yanming Fang; Yuan Qi 001 (SDM, 2021)

Conditional Attention Networks for Distilling Knowledge Graphs in Recommendation. - Ke Tu; Peng Cui 001; Daixin Wang; Zhiqiang Zhang 012; Jun Zhou 011; Yuan Qi 001; Wenwu Zhu 001 (CoRR, 2021)

Adaptive Client Sampling in Federated Learning via Online Learning with Bandit Feedback. - Boxin Zhao; Ziqi Liu; Chaochao Chen 001; Mladen Kolar; Zhiqiang Zhang 012; Jun Zhou 011 (CoRR, 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)

Robust Heterogeneous Graph Neural Networks against Adversarial Attacks. - Mengmei Zhang; Xiao Wang 017; Meiqi Zhu; Chuan Shi 001; Zhiqiang Zhang 012; Jun Zhou 011 (AAAI, 2022)

FwSeqBlock: A Field-wise Approach for Modeling Behavior Representation in Sequential Recommendation. - Hao Qian 003; Qintong Wu; Minghao Li; Zhengwei Wu; Zhiqiang Zhang 012; Jun Zhou 011; Lihong Gu; Jinjie Gu (CIKM, 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)

A Graph Learning Based Framework for Billion-Scale Offline User Identification. - Daixin Wang; Zujian Weng; Zhengwei Wu; Zhiqiang Zhang 012; Peng Cui 001; Hongwei Zhao; Jun Zhou 011 (KDD, 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)

Scope-aware Re-ranking with Gated Attention in Feed. - Hao Qian 003; Qintong Wu; Kai Zhang 038; Zhiqiang Zhang 012; Lihong Gu; Xiaodong Zeng; Jun Zhou 011; Jinjie Gu (WSDM, 2022)

A Multi-Task Learning Approach for Delayed Feedback Modeling. - Zhigang Huangfu; Gongduo Zhang; Zhengwei Wu; Qintong Wu; Zhiqiang Zhang 012; Lihong Gu; Jun Zhou 011; Jinjie Gu (WWW (Companion Volume), 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)

FinBrain 2.0: when finance meets trustworthy AI. - Jun Zhou 011; Chaochao Chen 001; Longfei Li; Zhiqiang Zhang 012; Xiaolin Zheng (Frontiers Inf. Technol. Electron. Eng., 2022)

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)

Disentangled Interest importance aware Knowledge Graph Neural Network for Fund Recommendation. - Ke Tu; Wei Qu; Zhengwei Wu; Zhiqiang Zhang 012; Zhongyi Liu; Yiming Zhao; Le Wu; Jun Zhou 011; Guannan Zhang (CIKM, 2023)

Adversarially Robust Neural Architecture Search for Graph Neural Networks. - Beini Xie; Heng Chang; Ziwei Zhang 001; Xin Wang 019; Daixin Wang; Zhiqiang Zhang 012; Rex Ying; Wenwu Zhu 001 (CVPR, 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)

Financial Default Prediction via Motif-preserving Graph Neural Network with Curriculum Learning. - Daixin Wang; Zhiqiang Zhang 012; Yeyu Zhao; Kai Huang; Yulin Kang; Jun Zhou 011 (KDD, 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)

Boosting Adaptive Graph Augmented MLPs via Customized Knowledge Distillation. - Shaowei Wei; Zhengwei Wu; Zhiqiang Zhang 012; Jun Zhou 011 (ECML/PKDD (3), 2023)

Long-Tail Augmented Graph Contrastive Learning for Recommendation. - Qian Zhao; Zhengwei Wu; Zhiqiang Zhang 012; Jun Zhou 011 (ECML/PKDD (4), 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)

Generative-Contrastive Graph Learning for Recommendation. - Yonghui Yang; Zhengwei Wu; Le Wu; Kun Zhang 015; Richang Hong; Zhiqiang Zhang 012; Jun Zhou 011; Meng Wang 001 (SIGIR, 2023)

AntTS: A Toolkit for Time Series Forecasting in Industrial Scenarios. - Jianping Wei; Zhibo Zhu; Ziqi Liu; Zhiqiang Zhang 012; Jun Zhou 011 (WSDM, 2023)

Improving Recommendation Fairness via Data Augmentation. - Lei Chen 051; Le Wu; Kun Zhang 015; Richang Hong; Defu Lian; Zhiqiang Zhang 012; Jun Zhou 011; Meng Wang 001 (WWW, 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)

Graph Neural Network with Two Uplift Estimators for Label-Scarcity Individual Uplift Modeling. - Dingyuan Zhu; Daixin Wang; Zhiqiang Zhang 012; Kun Kuang; Yan Zhang; Yulin Kang; Jun Zhou 011 (WWW, 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)

RJUA-QA: A Comprehensive QA Dataset for Urology. - Shiwei Lyu; Chenfei Chi; Hongbo Cai; Lei Shi; Xiaoyan Yang; Lei Liu; Xiang Chen 016; Deng Zhao; Zhiqiang Zhang 012; Xianguo Lyu; Ming Zhang; Fangzhou Li; et al. (CoRR, 2023)

Deep Tabular Data Modeling With Dual-Route Structure-Adaptive Graph Networks. - Qinghua Zheng; Zhen Peng 005; Zhuohang Dang; Linchao Zhu; Ziqi Liu; Zhiqiang Zhang 012; Jun Zhou 011 (IEEE Trans. Knowl. Data Eng., 2023)

MDGNN: Multi-Relational Dynamic Graph Neural Network for Comprehensive and Dynamic Stock Investment Prediction. - Hao Qian 003; Hongting Zhou; Qian Zhao; Hao Chen; Hongxiang Yao; Jingwei Wang; Ziqi Liu; Fei Yu; Zhiqiang Zhang 012; Jun Zhou 011 (AAAI, 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)

Time-Sensitve Retrieval-Augmented Generation for Question Answering. - Feifan Wu; Lingyuan Liu; Wentao He; Ziqi Liu; Zhiqiang Zhang 012; Haofen Wang; Meng Wang 009 (CIKM, 2024)

Multi-view Temporal Knowledge Graph Reasoning. - Fuwei Zhang; Zhao Zhang 011; Fuzhen Zhuang; Zhiqiang Zhang 012; Jun Zhou 011; Deqing Wang (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)

Knowledge-augmented Financial Market Analysis and Report Generation. - Yuemin Chen; Feifan Wu; Jingwei Wang; Hao Qian 003; Ziqi Liu; Zhiqiang Zhang 012; Jun Zhou 011; Meng Wang 009 (EMNLP (Industry Track), 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)

OneGen: Efficient One-Pass Unified Generation and Retrieval for LLMs. - Jintian Zhang; Cheng Peng; Mengshu Sun; Xiang Chen 016; Lei Liang 002; Zhiqiang Zhang 012; Jun Zhou 011; Huajun Chen; Ningyu Zhang 001 (EMNLP (Findings), 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)

Towards Automatic Evaluation for LLMs' Clinical Capabilities: Metric, Data, and Algorithm. - Lei Liu; Xiaoyan Yang; Fangzhou Li; Chenfei Chi; Yue Shen; Shiwei Lyu; Ming Zhang; Xiaowei Ma; Xiangguo Lv; Liya Ma; Zhiqiang Zhang 012; Wei Xue; et al. (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)

MKGL: Mastery of a Three-Word Language. - Lingbing Guo; Zhongpu Bo; Zhuo Chen 007; Yichi Zhang 009; Jiaoyan Chen 001; Yarong Lan; Mengshu Sun; Zhiqiang Zhang 012; Yangyifei Luo; Qian Li 033; Qiang Zhang 026; Wen Zhang 015; et al. (NeurIPS, 2024)

Adaptively Denoising Graph Neural Networks for Knowledge Distillation. - Yuxin Guo; Cheng Yang 002; Chuan Shi 001; Ke Tu; Zhengwei Wu; Zhiqiang Zhang 012; Jun Zhou 011 (ECML/PKDD (8), 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)

OneEdit: A Neural-Symbolic Collaboratively Knowledge Editing System. - Ningyu Zhang 001; Zekun Xi; Yujie Luo; Peng Wang 104; Bozhong Tian; Yunzhi Yao; Jintian Zhang; Shumin Deng; Mengshu Sun; Lei Liang 002; Zhiqiang Zhang 012; Xiaowei Zhu; et al. (VLDB Workshops, 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)

Exploiting Associations among Multi-Aspect Node Properties in Heterogeneous Graphs for Link Prediction. - Chenguang Du; Hao Geng; Deqing Wang; Fuzhen Zhuang; Zhiqiang Zhang 012; Lanshan Zhang (WWW (Companion Volume), 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)

Leave No One Behind: Online Self-Supervised Self-Distillation for Sequential Recommendation. - Shaowei Wei; Zhengwei Wu; Xin Li 090; Qintong Wu; Zhiqiang Zhang 012; Jun Zhou 011; Lihong Gu; Jinjie Gu (WWW, 2024)

Calibrating Graph Neural Networks from a Data-centric Perspective. - Cheng Yang 002; Chengdong Yang; Chuan Shi 001; Yawen Li 001; Zhiqiang Zhang 012; Jun Zhou 011 (WWW, 2024)

A Comprehensive Study of Knowledge Editing for Large Language Models. - Ningyu Zhang 001; Yunzhi Yao; Bozhong Tian; Peng Wang 104; Shumin Deng; Mengru Wang; Zekun Xi; Shengyu Mao; Jintian Zhang; Yuansheng Ni; Siyuan Cheng 008; Ziwen Xu; et al. (CoRR, 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)

Towards Automatic Evaluation for LLMs' Clinical Capabilities: Metric, Data, and Algorithm. - Lei Liu; Xiaoyan Yang; Fangzhou Li; Chenfei Chi; Yue Shen; Shiwei Lyu; Ming Zhang; Xiaowei Ma; Xianguo Lyu; Liya Ma; Zhiqiang Zhang 012; Wei Xue; et al. (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)

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)

A Survey on Medical Large Language Models: Technology, Application, Trustworthiness, and Future Directions. - Lei Liu; Xiaoyan Yang; Junchi Lei; Xiaoyang Liu; Yue Shen; Zhiqiang Zhang 012; Peng Wei; Jinjie Gu; Zhixuan Chu; Zhan Qin; Kui Ren 001 (CoRR, 2024)

Personalized Binomial DAGs Learning with Network Structured Covariates. - Boxin Zhao; Weishi Wang; Dingyuan Zhu; Ziqi Liu; Dong Wang 062; Zhiqiang Zhang 012; Jun Zhou 011; Mladen Kolar (CoRR, 2024)

Retrieve, Summarize, Plan: Advancing Multi-hop Question Answering with an Iterative Approach. - Zhouyu Jiang; Mengshu Sun; Lei Liang 001; Zhiqiang Zhang 012 (CoRR, 2024)

KAG: Boosting LLMs in Professional Domains via Knowledge Augmented Generation. - Lei Liang 002; Mengshu Sun; Zhengke Gui; Zhongshu Zhu; Zhouyu Jiang; Ling Zhong; Yuan Qu; Peilong Zhao; Zhongpu Bo; Jin Yang; Huaidong Xiong; Lin Yuan; et al. (CoRR, 2024)

Smoothness Really Matters: A Simple Yet Effective Approach for Unsupervised Graph Domain Adaptation. - Wei Chen 061; Guo Ye; Yakun Wang 001; Zhao Zhang 011; Libang Zhang; Daxin Wang; Zhiqiang Zhang 012; Fuzhen Zhuang (CoRR, 2024)

Revisiting Adversarial Attacks on Graph Neural Networks for Graph Classification. - Xin Wang 019; Heng Chang; Beini Xie; Tian Bian; Shiji Zhou; Daixin Wang; Zhiqiang Zhang 012; Wenwu Zhu 001 (IEEE Trans. Knowl. Data Eng., 2024)

Description-Enhanced Label Embedding Contrastive Learning for Text Classification. - Kun Zhang 015; Le Wu; Guangyi Lv; Enhong Chen; Shulan Ruan; Jing Liu 001; Zhiqiang Zhang 012; Jun Zhou 011; Meng Wang 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Hyperbolic Graph Learning for Social Recommendation. - Yonghui Yang; Le Wu; Kun Zhang 015; Richang Hong; Hailin Zhou; Zhiqiang Zhang 012; Jun Zhou 011; Meng Wang 001 (IEEE Trans. Knowl. Data Eng., 2024)

Smoothness Really Matters: A Simple Yet Effective Approach for Unsupervised Graph Domain Adaptation. - Wei Chen 061; Guo Ye; Yakun Wang 001; Zhao Zhang 011; Libang Zhang; Daixin Wang; Zhiqiang Zhang 012; Fuzhen Zhuang (AAAI, 2025)

K-ON: Stacking Knowledge on the Head Layer of Large Language Model. - Lingbing Guo; Yichi Zhang 009; Zhongpu Bo; Zhuo Chen 007; Mengshu Sun; Zhiqiang Zhang 012; Wen Zhang 015; Huajun Chen (AAAI, 2025)

Explore What LLM Does Not Know in Complex Question Answering. - Xin Lin 005; Zhenya Huang; Zhiqiang Zhang 012; Jun Zhou 011; Enhong 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)

Stable Representation Learning on Graphs from Multiple Environments with Structure Distribution Shift. - Tong Zhao; Daixin Wang; Zhiqiang Zhang 012; Yulin Kang; Jun Zhou 011 (KDD (1), 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)

Retrieve, Summarize, Plan: Advancing Multi-hop Question Answering with an Iterative Approach. - Zhouyu Jiang; Mengshu Sun; Lei Liang 002; Zhiqiang Zhang 012 (WWW (Companion Volume), 2025)

IceBerg: Debiased Self-Training for Class-Imbalanced Node Classification. - Zhixun Li; Dingshuo Chen; Tong Zhao; Daixin Wang; Hongrui Liu; Zhiqiang Zhang 012; Jun Zhou 011; Jeffrey Xu Yu (WWW, 2025)

KAG: Boosting LLMs in Professional Domains via Knowledge Augmented Generation. - Lei Liang 002; Zhongpu Bo; Zhengke Gui; Zhongshu Zhu; Ling Zhong; Peilong Zhao; Mengshu Sun; Zhiqiang Zhang 012; Jun Zhou 011; Wenguang Chen; Wen Zhang 015; Huajun Chen (WWW (Companion Volume), 2025)

OneKE: A Dockerized Schema-Guided LLM Agent-based Knowledge Extraction System. - Yujie Luo; Xiangyuan Ru; Kangwei Liu; Lin Yuan; Mengshu Sun; Ningyu Zhang 001; Lei Liang 002; Zhiqiang Zhang 012; Jun Zhou 011; Lanning Wei; Da Zheng; Haofen Wang; et al. (WWW (Companion Volume), 2025)

MAQInstruct: Instruction-based Unified Event Relation Extraction. - Jun Xu 030; Mengshu Sun; Zhiqiang Zhang 012; Jun Zhou 011 (WWW (Companion Volume), 2025)

Mix Data or Merge Models? Balancing the Helpfulness, Honesty, and Harmlessness of Large Language Model via Model Merging. - Jinluan Yang; Dingnan Jin; Anke Tang; Li Shen 008; Didi Zhu; Zhengyu Chen 001; Daixin Wang; Qing Cui; Zhiqiang Zhang 012; Jun Zhou 011; Fei Wu 001; Kun Kuang (CoRR, 2025)

Bi'an: A Bilingual Benchmark and Model for Hallucination Detection in Retrieval-Augmented Generation. - Zhouyu Jiang; Mengshu Sun; Zhiqiang Zhang 012; Lei Liang (CoRR, 2025)

Toward Stable and Consistent Evaluation Results: A New Methodology for Base Model Evaluation. - Hongzhi Luan; Changxin Tian; Zhaoxin Huan; Xiaolu Zhang; Kunlong Chen; Zhiqiang Zhang 012; Jun Zhou 011 (CoRR, 2025)

MASS: Mathematical Data Selection via Skill Graphs for Pretraining Large Language Models. - Jiazheng Li 012; Lu Yu 006; Qing Cui; Zhiqiang Zhang 012; Jun Zhou 011; Yanfang Ye 001; Chuxu Zhang (CoRR, 2025)

LookAhead Tuning: Safer Language Models via Partial Answer Previews. - Kangwei Liu; Mengru Wang; Yujie Luo; Lin Yuan; Mengshu Sun; Ningyu Zhang 001; Lei Liang 002; Zhiqiang Zhang 012; Jun Zhou 011; Huajun Chen (CoRR, 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)

RV-Syn: Rational and Verifiable Mathematical Reasoning Data Synthesis based on Structured Function Library. - Jiapeng Wang; Jinhao Jiang; Zhiqiang Zhang 012; Jun Zhou 011; Wayne Xin Zhao (CoRR, 2025)

SHARP: Synthesizing High-quality Aligned Reasoning Problems for Large Reasoning Models Reinforcement Learning. - Xiong Jun Wu; Zhenduo Zhang; Zujie Wen; Zhiqiang Zhang 012; Wang Ren; Lei Shi; Cai Chen; Deng Zhao; Qing Wang; Xudong Han; Chengfu Tang; Dingnan Jin; et al. (CoRR, 2025)

SciCUEval: A Comprehensive Dataset for Evaluating Scientific Context Understanding in Large Language Models. - Jing Yu; Yuqi Tang; Kehua Feng; Mingyang Rao; Lei Liang 002; Zhiqiang Zhang 012; Mengshu Sun; Wen Zhang 015; Qiang Zhang 026; Keyan Ding; Huajun Chen (CoRR, 2025)

Incentivizing Dual Process Thinking for Efficient Large Language Model Reasoning. - Xiaoxue Cheng; Junyi Li; Zhenduo Zhang; Xinyu Tang 004; Wayne Xin Zhao; Xinyu Kong; Zhiqiang Zhang 012 (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)

GraphLAMA: Enabling Efficient Adaptation of Graph Language Models with Limited Annotations. - Junze Chen; Cheng Yang 002; Shujie Li 003; Zhiqiang Zhang 012; Yawen Li 001; Junping Du 001; Chuan Shi 001 (CoRR, 2025)

Enhancing Cross-task Transfer of Large Language Models via Activation Steering. - Xinyu Tang 004; Zhihao Lv; Xiaoxue Cheng; Junyi Li; Wayne Xin Zhao; Zujie Wen; Zhiqiang Zhang 012; Jun Zhou 011 (CoRR, 2025)

WSM: Decay-Free Learning Rate Schedule via Checkpoint Merging for LLM Pre-training. - Changxin Tian; Jiapeng Wang; Qian Zhao; Kunlong Chen; Jia Liu; Ziqi Liu; Jiaxin Mao; Wayne Xin Zhao; Zhiqiang Zhang 012; Jun Zhou 011 (CoRR, 2025)

Towards Greater Leverage: Scaling Laws for Efficient Mixture-of-Experts Language Models. - Changxin Tian; Kunlong Chen; Jia Liu; Ziqi Liu; Zhiqiang Zhang 012; Jun Zhou 011 (CoRR, 2025)