default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDZhiqiang Zhang 0012
Person information
- affiliation: Ant Financial Services Group, Hangzhou, China
- affiliation: Beijing University of Posts and Telecommunications, China
Other persons with the same name
- Zhiqiang Zhang (aka: Zhi-Qiang Zhang) — disambiguation page
- Zhiqiang Zhang 0001
![[0000-0003-0204-3867]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0003-0204-3867")
(aka: Zhi-Qiang Zhang 0001) — University of Leeds, School of Electronic and Electrical Engineering, West Yorkshire, UK (and 2 more) - Zhiqiang Zhang 0002 — Huazhong University of Science and Technology, School of Automation, Wuhan, China
- Zhiqiang Zhang 0003 — Shanxi Datong University, School of Mathematics and Computer Science, Datong, China (and 1 more)
- Zhiqiang Zhang 0004 — Beihang University, School of Automation Science and Electrical Engineering, Beijing, China
- Zhiqiang Zhang 0005 — Hainan University, College of Information Science & Technology, Haikou, China
- Zhiqiang Zhang 0006 — Bohai University, College of Engineering, Jinzhou, China
- Zhiqiang Zhang 0007 — Chinese Academy of Sciences, Institute of Software, State Key Laboratory of Computer Science, Beijing, China (and 1 more)
- Zhiqiang Zhang 0008 — Chinese Academy of Sciences, Shenzhen Institutes of Advanced Technology, Shenzhen, China
- Zhiqiang Zhang 0009 — China Agricultural University, Beijing, China
- Zhiqiang Zhang 0010 — Harbin Engineering University, Harbin, China
- Zhiqiang Zhang 0011 — Alibaba Group, Beijing, China
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
[j9]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): 2166-2178 (2024)- [j8]Yonghui Yang, Le Wu, Kun Zhang, Richang Hong, Hailin Zhou, Zhiqiang Zhang, Jun Zhou, Meng Wang:
Hyperbolic Graph Learning for Social Recommendation. IEEE Trans. Knowl. Data Eng. 36(12): 8488-8501 (2024) - [j7]Kun Zhang, Le Wu, Guangyi Lv, Enhong Chen, Shulan Ruan, Jing Liu, Zhiqiang Zhang, Jun Zhou, Meng Wang:
Description-Enhanced Label Embedding Contrastive Learning for Text Classification. IEEE Trans. Neural Networks Learn. Syst. 35(10): 14889-14902 (2024) - [c76]Feifan Wu, Lingyuan Liu, Wentao He, Ziqi Liu, Zhiqiang Zhang, Haofen Wang, Meng Wang:
Time-Sensitve Retrieval-Augmented Generation for Question Answering. CIKM 2024: 2544-2553 - [c75]Fuwei Zhang, Zhao Zhang, Fuzhen Zhuang, Zhiqiang Zhang, Jun Zhou, Deqing Wang:
Multi-view Temporal Knowledge Graph Reasoning. CIKM 2024: 4263-4267 - [c74]Zhigang Huangfu, Binbin Hu, Zhengwei Wu, Fengyu Han, Gong-Duo Zhang, Lihong Gu, Zhiqiang Zhang:
To Explore or Exploit? A Gradient-informed Framework to Address the Feedback Loop for Graph based Recommendation. CIKM 2024: 4579-4586 - [c73]Borui Ye, Shuo Yang, Meiqi Zhu, Binbin Hu, Daixin Wang, Zhiqiang Zhang, Youqiang He, Zhiyang Hu, Huimei He, Jun Zhou:
Granola: Graph Neural Network Tackling Tabular Data for Online Loan Default Prediction. DASFAA (7) 2024: 436-440 - [c72]Jintian Zhang, Cheng Peng, Mengshu Sun, Xiang Chen, Lei Liang, Zhiqiang Zhang, Jun Zhou, Huajun Chen, Ningyu Zhang:
OneGen: Efficient One-Pass Unified Generation and Retrieval for LLMs. EMNLP (Findings) 2024: 4088-4119 - [c71]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. EMNLP (Findings) 2024: 7813-7835 - [c70]Yakun Wang, Daixin Wang, Hongrui Liu, Binbin Hu, Yingcui Yan, Qiyang Zhang, Zhiqiang Zhang:
Optimizing Long-tailed Link Prediction in Graph Neural Networks through Structure Representation Enhancement. KDD 2024: 3222-3232 - [c69]Zhicheng An, Zhexu Gu, Li Yu, Ke Tu, Zhengwei Wu, Binbin Hu, Zhiqiang Zhang, Lihong Gu, Jinjie Gu:
DDCDR: A Disentangle-based Distillation Framework for Cross-Domain Recommendation. KDD 2024: 4764-4773 - [c68]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: 5466-5475 - [c67]Yuxin Guo, Cheng Yang, Chuan Shi, Ke Tu, Zhengwei Wu, Zhiqiang Zhang, Jun Zhou:
Adaptively Denoising Graph Neural Networks for Knowledge Distillation. ECML/PKDD (8) 2024: 253-269 - [c66]Changxin Tian, Binbin Hu, Chunjing Gan, Haoyu Chen, Zhuo Zhang, Li Yu, Ziqi Liu, Zhiqiang Zhang, Jun Zhou, Jiawei Chen:
ReLand: Integrating Large Language Models' Insights into Industrial Recommenders via a Controllable Reasoning Pool. RecSys 2024: 63-73 - [c65]Ningyu Zhang, Zekun Xi, Yujie Luo, Peng Wang, Bozhong Tian, Yunzhi Yao, Jintian Zhang, Shumin Deng, Mengshu Sun, Lei Liang, Zhiqiang Zhang, Xiaowei Zhu, Jun Zhou, Huajun Chen:
OneEdit: A Neural-Symbolic Collaboratively Knowledge Editing System. VLDB Workshops 2024 - [c64]Chunjing Gan, Bo Huang, Binbin Hu, Jian Ma, Zhiqiang Zhang, Jun Zhou, Guannan Zhang, Wenliang Zhong:
PEACE: Prototype lEarning Augmented transferable framework for Cross-domain rEcommendation. WSDM 2024: 228-237 - [c63]Yakun Wang, Binbin Hu, Shuo Yang, Meiqi Zhu, Zhiqiang Zhang, Qiyang Zhang, Jun Zhou, Guo Ye, Huimei He:
Not All Negatives Are Worth Attending to: Meta-Bootstrapping Negative Sampling Framework for Link Prediction. WSDM 2024: 760-768 - [c62]Cheng Yang, Chengdong Yang, Chuan Shi, Yawen Li, Zhiqiang Zhang, Jun Zhou:
Calibrating Graph Neural Networks from a Data-centric Perspective. WWW 2024: 745-755 - [c61]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: 979-982 - [c60]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: 3767-3776 - [c59]Yuling Wang, Changxin Tian, Binbin Hu, Yanhua Yu, Ziqi Liu, Zhiqiang Zhang, Jun Zhou, Liang Pang, Xiao Wang:
Can Small Language Models be Good Reasoners for Sequential Recommendation? WWW 2024: 3876-3887 - [i50]Ningyu Zhang, Yunzhi Yao, Bozhong Tian, Peng Wang, Shumin Deng, Mengru Wang, Zekun Xi, Shengyu Mao, Jintian Zhang, Yuansheng Ni, Siyuan Cheng, Ziwen Xu, Xin Xu, Jia-Chen Gu, Yong Jiang, Pengjun Xie, Fei Huang, Lei Liang, Zhiqiang Zhang, Xiaowei Zhu, Jun Zhou, Huajun Chen:
A Comprehensive Study of Knowledge Editing for Large Language Models. CoRR abs/2401.01286 (2024) - [i49]Junjie Wang, Dan Yang, Binbin Hu, Yue Shen, Ziqi Liu, Wen Zhang, Jinjie Gu, Zhiqiang Zhang:
Know Your Needs Better: Towards Structured Understanding of Marketer Demands with Analogical Reasoning Augmented LLMs. CoRR abs/2401.04319 (2024) - [i48]Hao Qian, Hongting Zhou, Qian Zhao, Hao Chen, Hongxiang Yao, Jingwei Wang, Ziqi Liu, Fei Yu, Zhiqiang Zhang, Jun Zhou:
MDGNN: Multi-Relational Dynamic Graph Neural Network for Comprehensive and Dynamic Stock Investment Prediction. CoRR abs/2402.06633 (2024) - [i47]Yuling Wang, Changxin Tian, Binbin Hu, Yanhua Yu, Ziqi Liu, Zhiqiang Zhang, Jun Zhou, Liang Pang, Xiao Wang:
Can Small Language Models be Good Reasoners for Sequential Recommendation? CoRR abs/2403.04260 (2024) - [i46]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 abs/2403.16446 (2024) - [i45]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 abs/2404.07219 (2024) - [i44]Yichi Zhang, Binbin Hu, Zhuo Chen, Lingbing Guo, Ziqi Liu, Zhiqiang Zhang, Lei Liang, Huajun Chen, Wen Zhang:
Multi-domain Knowledge Graph Collaborative Pre-training and Prompt Tuning for Diverse Downstream Tasks. CoRR abs/2405.13085 (2024) - [i43]Chunjing Gan, Binbin Hu, Bo Huang, Ziqi Liu, Jian Ma, Zhiqiang Zhang, Wenliang Zhong, Jun Zhou:
Your decision path does matter in pre-training industrial recommenders with multi-source behaviors. CoRR abs/2405.17132 (2024) - [i42]Chunjing Gan, Dan Yang, Binbin Hu, Hanxiao Zhang, Siyuan Li, Ziqi Liu, Yue Shen, Lin Ju, Zhiqiang Zhang, Jinjie Gu, Lei Liang, Jun Zhou:
Similarity is Not All You Need: Endowing Retrieval Augmented Generation with Multi Layered Thoughts. CoRR abs/2405.19893 (2024) - [i41]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 abs/2406.03712 (2024) - [i40]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 abs/2406.06829 (2024) - [i39]Junjie Wang, Mingyang Chen, Binbin Hu, Dan Yang, Ziqi Liu, Yue Shen, Peng Wei, Zhiqiang Zhang, Jinjie Gu, Jun Zhou, Jeff Z. Pan, Wen Zhang, Huajun Chen:
Learning to Plan for Retrieval-Augmented Large Language Models from Knowledge Graphs. CoRR abs/2406.14282 (2024) - [i38]Jintian Zhang, Cheng Peng, Mengshu Sun, Xiang Chen, Lei Liang, Zhiqiang Zhang, Jun Zhou, Huajun Chen, Ningyu Zhang:
OneGen: Efficient One-Pass Unified Generation and Retrieval for LLMs. CoRR abs/2409.05152 (2024) - [i37]Ningyu Zhang, Zekun Xi, Yujie Luo, Peng Wang, Bozhong Tian, Yunzhi Yao, Jintian Zhang, Shumin Deng, Mengshu Sun, Lei Liang, Zhiqiang Zhang, Xiaowei Zhu, Jun Zhou, Huajun Chen:
OneEdit: A Neural-Symbolic Collaboratively Knowledge Editing System. CoRR abs/2409.07497 (2024) - [i36]Lingbing Guo, Zhongpu Bo, Zhuo Chen, Yichi Zhang, Jiaoyan Chen, Yarong Lan, Mengshu Sun, Zhiqiang Zhang, Yangyifei Luo, Qian Li, Qiang Zhang, Wen Zhang, Huajun Chen:
MKGL: Mastery of a Three-Word Language. CoRR abs/2410.07526 (2024) - 2023
- [j6]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): 9715-9727 (2023) - [c58]Changxin Tian, Binbin Hu, Wayne Xin Zhao, Zhiqiang Zhang, Jun Zhou:
Periodicity May Be Emanative: Hierarchical Contrastive Learning for Sequential Recommendation. CIKM 2023: 2442-2451 - [c57]Ke Tu, Wei Qu, Zhengwei Wu, Zhiqiang Zhang, Zhongyi Liu, Yiming Zhao, Le Wu, Jun Zhou, Guannan Zhang:
Disentangled Interest importance aware Knowledge Graph Neural Network for Fund Recommendation. CIKM 2023: 2482-2491 - [c56]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. CVPR 2023: 8143-8152 - [c55]Ke Tu, Zhengwei Wu, Binbin Hu, Zhiqiang Zhang, Peng Cui, Xiaolong Li, Jun Zhou:
A Scalable Social Recommendation Framework with Decoupled Graph Neural Network. DASFAA (4) 2023: 519-531 - [c54]Yangyang Hou, Daixin Wang, Binbin Hu, Ruoyu Zhuang, Zhiqiang Zhang, Jun Zhou, Feng Zhao, Yulin Kang, Zhanwen Qiao:
Unsupervised Fraud Transaction Detection on Dynamic Attributed Networks. DASFAA (4) 2023: 544-555 - [c53]Weifan Wang, Binbin Hu, Zhicheng Peng, Mingjie Zhong, Zhiqiang Zhang, Zhongyi Liu, Guannan Zhang, Jun Zhou:
GARCIA: Powering Representations of Long-tail Query with Multi-granularity Contrastive Learning. ICDE 2023: 3182-3195 - [c52]Dalong Zhang, Xianzheng Song, Zhiyang Hu, Yang Li, Miao Tao, Binbin Hu, Lin Wang, Zhiqiang Zhang, Jun Zhou:
InferTurbo: A Scalable System for Boosting Full-graph Inference of Graph Neural Network over Huge Graphs. ICDE 2023: 3235-3247 - [c51]Dan Yang, Binbin Hu, Xiaoyan Yang, Yue Shen, Zhiqiang Zhang, Jinjie Gu, Guannan Zhang:
Who Would be Interested in Services? An Entity Graph Learning System for User Targeting. ICDE 2023: 3248-3254 - [c50]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: 2233-2242 - [c49]Xiaoling Zang, Binbin Hu, Jun Chu, Zhiqiang Zhang, Guannan Zhang, Jun Zhou, Wenliang Zhong:
Commonsense Knowledge Graph towards Super APP and Its Applications in Alipay. KDD 2023: 5509-5519 - [c48]Shaowei Wei, Zhengwei Wu, Zhiqiang Zhang, Jun Zhou:
Boosting Adaptive Graph Augmented MLPs via Customized Knowledge Distillation. ECML/PKDD (3) 2023: 87-103 - [c47]Qian Zhao, Zhengwei Wu, Zhiqiang Zhang, Jun Zhou:
Long-Tail Augmented Graph Contrastive Learning for Recommendation. ECML/PKDD (4) 2023: 387-403 - [c46]Yonghui Yang, Zhengwei Wu, Le Wu, Kun Zhang, Richang Hong, Zhiqiang Zhang, Jun Zhou, Meng Wang:
Generative-Contrastive Graph Learning for Recommendation. SIGIR 2023: 1117-1126 - [c45]Chunjing Gan, Binbin Hu, Bo Huang, Tianyu Zhao, Yingru Lin, Wenliang Zhong, Zhiqiang Zhang, Jun Zhou, Chuan Shi:
Which Matters Most in Making Fund Investment Decisions? A Multi-granularity Graph Disentangled Learning Framework. SIGIR 2023: 2516-2520 - [c44]Sicong Xie, Binbin Hu, Fengze Li, Ziqi Liu, Zhiqiang Zhang, Wenliang Zhong, Jun Zhou:
COUPA: An Industrial Recommender System for Online to Offline Service Platforms. SIGIR 2023: 3235-3239 - [c43]Jianping Wei, Zhibo Zhu, Ziqi Liu, Zhiqiang Zhang, Jun Zhou:
AntTS: A Toolkit for Time Series Forecasting in Industrial Scenarios. WSDM 2023: 1192-1195 - [c42]Xiaoyan Yang, Dong Wang, Binbin Hu, Dan Yang, Yue Shen, Jinjie Gu, Zhiqiang Zhang, Shiwei Lyu, Haipeng Zhang, Guannan Zhang:
Movie Ticket, Popcorn, and Another Movie Next Weekend: Time-Aware Service Sequential Recommendation for User Retention. WWW (Companion Volume) 2023: 361-365 - [c41]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: 395-405 - [c40]Lei Chen, Le Wu, Kun Zhang, Richang Hong, Defu Lian, Zhiqiang Zhang, Jun Zhou, Meng Wang:
Improving Recommendation Fairness via Data Augmentation. WWW 2023: 1012-1020 - [i35]Lei Chen, Le Wu, Kun Zhang, Richang Hong, Defu Lian, Zhiqiang Zhang, Jun Zhou, Meng Wang:
Improving Recommendation Fairness via Data Augmentation. CoRR abs/2302.06333 (2023) - [i34]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 abs/2304.04168 (2023) - [i33]Weifan Wang, Binbin Hu, Zhicheng Peng, Mingjie Zhong, Zhiqiang Zhang, Zhongyi Liu, Guannan Zhang, Jun Zhou:
GARCIA: Powering Representations of Long-tail Query with Multi-granularity Contrastive Learning. CoRR abs/2304.12537 (2023) - [i32]Sicong Xie, Binbin Hu, Fengze Li, Ziqi Liu, Zhiqiang Zhang, Wenliang Zhong, Jun Zhou:
COUPA: An Industrial Recommender System for Online to Offline Service Platforms. CoRR abs/2304.12549 (2023) - [i31]Dan Yang, Binbin Hu, Xiaoyan Yang, Yue Shen, Zhiqiang Zhang, Jinjie Gu, Guannan Zhang:
Who Would be Interested in Services? An Entity Graph Learning System for User Targeting. CoRR abs/2305.18780 (2023) - [i30]Kun Zhang, Le Wu, Guangyi Lv, Enhong Chen, Shulan Ruan, Jing Liu, Zhiqiang Zhang, Jun Zhou, Meng Wang:
Description-Enhanced Label Embedding Contrastive Learning for Text Classification. CoRR abs/2306.08817 (2023) - [i29]Dalong Zhang, Xianzheng Song, Zhiyang Hu, Yang Li, Miao Tao, Binbin Hu, Lin Wang, Zhiqiang Zhang, Jun Zhou:
InferTurbo: A Scalable System for Boosting Full-graph Inference of Graph Neural Network over Huge Graphs. CoRR abs/2307.00228 (2023) - [i28]Yonghui Yang, Zhengwei Wu, Le Wu, Kun Zhang, Richang Hong, Zhiqiang Zhang, Jun Zhou, Meng Wang:
Generative Contrastive Graph Learning for Recommendation. CoRR abs/2307.05100 (2023) - [i27]Qian Zhao, Zhengwei Wu, Zhiqiang Zhang, Jun Zhou:
Long-tail Augmented Graph Contrastive Learning for Recommendation. CoRR abs/2309.11177 (2023) - [i26]Lei Liu, Xiaoyan Yang, Yue Shen, Binbin Hu, Zhiqiang Zhang, Jinjie Gu, Guannan Zhang:
Think-in-Memory: Recalling and Post-thinking Enable LLMs with Long-Term Memory. CoRR abs/2311.08719 (2023) - [i25]Chunjing Gan, Binbin Hu, Bo Huang, Tianyu Zhao, Yingru Lin, Wenliang Zhong, Zhiqiang Zhang, Jun Zhou, Chuan Shi:
Which Matters Most in Making Fund Investment Decisions? A Multi-granularity Graph Disentangled Learning Framework. CoRR abs/2311.13864 (2023) - [i24]Chunjing Gan, Bo Huang, Binbin Hu, Jian Ma, Ziqi Liu, Zhiqiang Zhang, Jun Zhou, Guannan Zhang, Wenliang Zhong:
PEACE: Prototype lEarning Augmented transferable framework for Cross-domain rEcommendation. CoRR abs/2312.01916 (2023) - [i23]Yakun Wang, Binbin Hu, Shuo Yang, Meiqi Zhu, Zhiqiang Zhang, Qiyang Zhang, Jun Zhou, Guo Ye, Huimei He:
Not All Negatives Are Worth Attending to: Meta-Bootstrapping Negative Sampling Framework for Link Prediction. CoRR abs/2312.04815 (2023) - [i22]Chunjing Gan, Dan Yang, Binbin Hu, Ziqi Liu, Yue Shen, Zhiqiang Zhang, Jinjie Gu, Jun Zhou, Guannan Zhang:
Making Large Language Models Better Knowledge Miners for Online Marketing with Progressive Prompting Augmentation. CoRR abs/2312.05276 (2023) - [i21]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 abs/2312.09785 (2023) - 2022
- [j5]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): 1747-1764 (2022) - [c39]Deyu Bo, Binbin Hu, Xiao Wang, Zhiqiang Zhang, Chuan Shi, Jun Zhou:
Regularizing Graph Neural Networks via Consistency-Diversity Graph Augmentations. AAAI 2022: 3913-3921 - [c38]Mengmei Zhang, Xiao Wang, Meiqi Zhu, Chuan Shi, Zhiqiang Zhang, Jun Zhou:
Robust Heterogeneous Graph Neural Networks against Adversarial Attacks. AAAI 2022: 4363-4370 - [c37]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: 4404-4408 - [c36]Weifan Wang, Xiaocheng Cheng, Ziqi Liu, Yu Lin, Yue Shen, Binbin Hu, Zhiqiang Zhang, Xiaodong Zeng, Jun Zhou, Jinjie Gu, Minnan Luo:
Intent Mining: A Social and Semantic Enhanced Topic Model for Operation-Friendly Digital Marketing. ICDE 2022: 3254-3267 - [c35]Borui Ye, Shuo Yang, Binbin Hu, Zhiqiang Zhang, Youqiang He, Kai Huang, Jun Zhou, Yanming Fang:
Gaia: Graph Neural Network with Temporal Shift aware Attention for Gross Merchandise Value Forecast in E-commerce. ICDE 2022: 3320-3326 - [c34]Binbin Hu, Zhengwei Wu, Jun Zhou, Ziqi Liu, Zhigang Huangfu, Zhiqiang Zhang, Chaochao Chen:
MERIT: Learning Multi-level Representations on Temporal Graphs. IJCAI 2022: 2073-2079 - [c33]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: 4001-4009 - [c32]Binbin Hu, Bin Shen, Ruize Wu, Zhiqiang Zhang, Yuetian Cao, Yong He, Liang Zhang, Linjian Mo, Jun Zhou:
Mixture of Graph Enhanced Expert Networks for Multi-task Recommendation. PRICAI (3) 2022: 3-16 - [c31]Yupeng Hou, Binbin Hu, Wayne Xin Zhao, Zhiqiang Zhang, Jun Zhou, Ji-Rong Wen:
Neural Graph Matching for Pre-training Graph Neural Networks. SDM 2022: 172-180 - [c30]Yupeng Hou, Binbin Hu, Zhiqiang Zhang, Wayne Xin Zhao:
CORE: Simple and Effective Session-based Recommendation within Consistent Representation Space. SIGIR 2022: 1796-1801 - [c29]Hao Qian, Qintong Wu, Kai Zhang, Zhiqiang Zhang, Lihong Gu, Xiaodong Zeng, Jun Zhou, Jinjie Gu:
Scope-aware Re-ranking with Gated Attention in Feed. WSDM 2022: 804-812 - [c28]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: 116-120 - [c27]Hongrui Liu, Binbin Hu, Xiao Wang, Chuan Shi, Zhiqiang Zhang, Jun Zhou:
Confidence May Cheat: Self-Training on Graph Neural Networks under Distribution Shift. WWW 2022: 1248-1258 - [i20]Hongrui Liu, Binbin Hu, Xiao Wang, Chuan Shi, Zhiqiang Zhang, Jun Zhou:
Confidence May Cheat: Self-Training on Graph Neural Networks under Distribution Shift. CoRR abs/2201.11349 (2022) - [i19]Yupeng Hou, Binbin Hu, Wayne Xin Zhao, Zhiqiang Zhang, Jun Zhou, Ji-Rong Wen:
Neural Graph Matching for Pre-training Graph Neural Networks. CoRR abs/2203.01597 (2022) - [i18]Qian Zhao, Shuo Yang, Binbin Hu, Zhiqiang Zhang, Yakun Wang, Yusong Chen, Jun Zhou, Chuan Shi:
An Effective Graph Learning based Approach for Temporal Link Prediction: The First Place of WSDM Cup 2022. CoRR abs/2203.01820 (2022) - [i17]Yupeng Hou, Binbin Hu, Zhiqiang Zhang, Wayne Xin Zhao:
CORE: Simple and Effective Session-based Recommendation within Consistent Representation Space. CoRR abs/2204.11067 (2022) - [i16]Binbin Hu, Zhiyang Hu, Zhiqiang Zhang, Jun Zhou, Chuan Shi:
KGNN: Distributed Framework for Graph Neural Knowledge Representation. CoRR abs/2205.08285 (2022) - [i15]Borui Ye, Shuo Yang, Binbin Hu, Zhiqiang Zhang, Youqiang He, Kai Huang, Jun Zhou, Yanming Fang:
Gaia: Graph Neural Network with Temporal Shift aware Attention for Gross Merchandise Value Forecast in E-commerce. CoRR abs/2207.13329 (2022) - [i14]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 abs/2208.06651 (2022) - 2021
- [c26]Li Yu, Zhengwei Wu, Tianchi Cai, Ziqi Liu, Zhiqiang Zhang, Lihong Gu, Xiaodong Zeng, Jinjie Gu:
Joint Incentive Optimization of Customer and Merchant in Mobile Payment Marketing. AAAI 2021: 15000-15007 - [c25]Qianyu Yu, Shuo Yang, Zhiqiang Zhang, Ya-Lin Zhang, Binbin Hu, Ziqi Liu, Kai Huang, Xingyu Zhong, Jun Zhou, Yanming Fang:
A Graph Attention Network Model for GMV Forecast on Online Shopping Festival. APWeb/WAIM (1) 2021: 134-139 - [c24]Ke Tu, Peng Cui, Daixin Wang, Zhiqiang Zhang, Jun Zhou, Yuan Qi, Wenwu Zhu:
Conditional Graph Attention Networks for Distilling and Refining Knowledge Graphs in Recommendation. CIKM 2021: 1834-1843 - [c23]Kun Xiong, Wenwen Ye, Xu Chen, Yongfeng Zhang, Wayne Xin Zhao, Binbin Hu, Zhiqiang Zhang, Jun Zhou:
Counterfactual Review-based Recommendation. CIKM 2021: 2231-2240 - [c22]Ziqi Liu, Yue Shen, Xiaocheng Cheng, Qiang Li, Jianping Wei, Zhiqiang Zhang, Dong Wang, Xiaodong Zeng, Jinjie Gu, Jun Zhou:
Learning Representations of Inactive Users: A Cross Domain Approach with Graph Neural Networks. CIKM 2021: 3278-3282 - [c21]Tianxin Wang, Fuzhen Zhuang, Zhiqiang Zhang, Daixin Wang, Jun Zhou, Qing He:
Low-dimensional Alignment for Cross-Domain Recommendation. CIKM 2021: 3508-3512 - [c20]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: 3627-3631 - [c19]Tianchi Cai, Daxi Cheng, Chen Liang, Ziqi Liu, Lihong Gu, Huizhi Xie, Zhiqiang Zhang, Xiaodong Zeng, Jinjie Gu:
LinkLouvain: Link-Aware A/B Testing and Its Application on Online Marketing Campaign. DASFAA (3) 2021: 499-510 - [c18]Minghui Yang, Shaosheng Cao, Binbin Hu, Xianling Chen, Hengbin Cui, Zhiqiang Zhang, Jun Zhou, Xiaolong Li:
IntelliTag: An Intelligent Cloud Customer Service System Based on Tag Recommendation. ICDE 2021: 2559-2570 - [c17]Yang Zhang, Dong Wang, Qiang Li, Yue Shen, Ziqi Liu, Xiaodong Zeng, Zhiqiang Zhang, Jinjie Gu, Derek F. Wong:
User Retention: A Causal Approach with Triple Task Modeling. IJCAI 2021: 3399-3405 - [c16]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: 12904-12916 - [c15]Shuo Yang, Binbin Hu, Zhiqiang Zhang, Wang Sun, Yang Wang, Jun Zhou, Hongyu Shan, Yuetian Cao, Borui Ye, Yanming Fang, Quan Yu:
Inductive Link Prediction with Interactive Structure Learning on Attributed Graph. ECML/PKDD (2) 2021: 383-398 - [c14]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: 702-710 - [i13]Tianchi Cai, Daxi Cheng, Chen Liang, Ziqi Liu, Lihong Gu, Huizhi Xie, Zhiqiang Zhang, Xiaodong Zeng, Jinjie Gu:
LinkLouvain: Link-Aware A/B Testing and Its Application on Online Marketing Campaign. CoRR abs/2102.01902 (2021) - [i12]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 abs/2108.08022 (2021) - [i11]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. CoRR abs/2110.14354 (2021) - [i10]Ke Tu, Peng Cui, Daixin Wang, Zhiqiang Zhang, Jun Zhou, Yuan Qi, Wenwu Zhu:
Conditional Attention Networks for Distilling Knowledge Graphs in Recommendation. CoRR abs/2111.02100 (2021) - [i9]Boxin Zhao, Ziqi Liu, Chaochao Chen, Mladen Kolar, Zhiqiang Zhang, Jun Zhou:
Adaptive Client Sampling in Federated Learning via Online Learning with Bandit Feedback. CoRR abs/2112.14332 (2021) - 2020
- [j4]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): 3125-3137 (2020) - [c13]Binbin Hu, Zhiqiang Zhang, Jun Zhou, Jingli Fang, Quanhui Jia, Yanming Fang, Quan Yu, Yuan Qi:
Loan Default Analysis with Multiplex Graph Learning. CIKM 2020: 2525-2532 - [c12]Zhiqiang Zhang, Jun Zhou, Chuan Shi:
EasyGML: A Fully-functional and Easy-to-use Platform for Industrial Graph Machine Learning. CIKM 2020: 3485-3488 - [c11]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: 4661-4667 - [c10]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: 2455-2463 - [c9]Ziqi Liu, Zhengwei Wu, Zhiqiang Zhang, Jun Zhou, Shuang Yang, Le Song, Yuan Qi:
Bandit Samplers for Training Graph Neural Networks. NeurIPS 2020 - [c8]Yufei Feng, Binbin Hu, Fuyu Lv, Qingwen Liu, Zhiqiang Zhang, Wenwu Ou:
ATBRG: Adaptive Target-Behavior Relational Graph Network for Effective Recommendation. SIGIR 2020: 2231-2240 - [i8]Dalong Zhang, Xianzheng Song, Ziqi Liu, Zhiqiang Zhang, Xin Huang, Lin Wang, Jun Zhou:
DSSLP: A Distributed Framework for Semi-supervised Link Prediction. CoRR abs/2002.12056 (2020) - [i7]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 abs/2003.01515 (2020) - [i6]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 abs/2003.02454 (2020) - [i5]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 abs/2004.00201 (2020) - [i4]Yufei Feng, Binbin Hu, Fuyu Lv, Qingwen Liu, Zhiqiang Zhang, Wenwu Ou:
ATBRG: Adaptive Target-Behavior Relational Graph Network for Effective Recommendation. CoRR abs/2005.12002 (2020) - [i3]Ziqi Liu, Zhengwei Wu, Zhiqiang Zhang, Jun Zhou, Shuang Yang, Le Song, Yuan Qi:
Bandit Samplers for Training Graph Neural Networks. CoRR abs/2006.05806 (2020) - [i2]Jinghan Shi, Houye Ji, Chuan Shi, Xiao Wang, Zhiqiang Zhang, Jun Zhou:
Heterogeneous Graph Neural Network for Recommendation. CoRR abs/2009.00799 (2020)
2010 – 2019
- 2019
- [j3]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): 55:1-55:19 (2019) - [j2]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): 153-184 (2019) - [c7]Binbin Hu, Zhiqiang Zhang, Chuan Shi, Jun Zhou, Xiaolong Li, Yuan Qi:
Cash-Out User Detection Based on Attributed Heterogeneous Information Network with a Hierarchical Attention Mechanism. AAAI 2019: 946-953 - [c6]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: 1557-1566 - [c5]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: 2577-2584 - 2018
- [c4]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: 1960-1965 - [c3]Zhiqiang Zhang, Chaochao Chen, Jun Zhou, Xiaolong Li:
An Industrial-Scale System for Heterogeneous Information Card Ranking in Alipay. DASFAA (2) 2018: 713-724 - [i1]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 abs/1805.04234 (2018) - 2017
- [j1]Fuzhen Zhuang, Zhiqiang Zhang, Mingda Qian, Chuan Shi, Xing Xie, Qing He:
Representation learning via Dual-Autoencoder for recommendation. Neural Networks 90: 83-89 (2017) - 2016
- [c2]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: 401-402 - 2015
- [c1]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: 453-462
Coauthor Index
[c74] [c73] [c71] [c70] [c69] [c66] [c64] [c63] [c59] [i49] [i47] [i44] [i43] [i42] [i39] [c58] [c55] [c54] [c53] [c52] [c51] [c49] [c45] [c44] [c42] [i33] [i32] [i31] [i29] [i26] [i25] [i24] [i23] [i22] [c39] [c36] [c35] [c34] [c32] [c31] [c30] [c27] [i20] [i19] [i18] [i17] [i16] [i15] [c25] [c23] [c18] [c15] [c13] [c8] [i4] [c7]
Yuan Qi 0001
aka: Yuan (Alan) Qi
aka: Yuan (Alan) Qi
[j8] [j7] [c75] [c73] [c72] [c71] [c67] [c66] [c65] [c64] [c63] [c62] [c60] [c59] [i50] [i48] [i47] [i45] [i43] [i42] [i40] [i39] [i38] [i37] [j6] [c58] [c57] [c55] [c54] [c53] [c52] [c50] [c49] [c48] [c47] [c46] [c45] [c44] [c43] [c41] [c40] [i35] [i33] [i32] [i30] [i29] [i28] [i27] [i25] [i24] [i23] [i22] [j5] [c39] [c38] [c37] [c36] [c35] [c34] [c33] [c32] [c31] [c29] [c28] [c27] [i20] [i19] [i18] [i16] [i15] [c25] [c24] [c23] [c22] [c21] [c20] [c18] [c16] [c15] [c14] [i12] [i11] [i10] [i9] [j4] [c13] [c12] [c11] [c10] [c9] [i8] [i7] [i6] [i5] [i3] [i2] [j3] [c7] [c6] [c5] [c4] [c3] [i1]
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-12-13 20:04 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
