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ORCIDZhao Li 0007
Person information
- affiliation: Hangzhou Yugu Technology Co., Ltd., Hangzhou, China
- affiliation: Zhejiang University, Alibaba-ZJU Joint Research Institute of Frontier Technologies, Link2Do Technology Ltd, China
- affiliation (PhD 2012): University of Vermont, Burlington, VT, USA
Other persons with the same name
- Zhao Li — disambiguation page
- Zhao Li 0001 — Saarland University, Telecommunications Lab, Saarbrücken, Germany
- Zhao Li 0002
![[0000-0002-7279-3850]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0002-7279-3850")
— Hong Kong University of Science and Technology, Department of Electronic and Computer Engineering, Hong Kong (and 1 more) - Zhao Li 0003 — Northeastern University, School of Information Science and Engineering, Shenyang, China
- Zhao Li 0004 — Yangtze University, School of Urban Construction, Jingzhou, China
- Zhao Li 0005 — Xidian University, School of Cyber Engineering, China (and 1 more)
- Zhao Li 0006 — Xidian University, State Key Laboratory of Integrated Service Networks, China
- Zhao Li 0008 — Chinese Academy of Sciences, Beijing Institute of Genomics, BIG Data Center, China
- Zhao Li 0009 — Tianjin University, College of Intelligence and Computing, Tianjin, China
- Zhao Li 0010 — Chinese Academy of Sciences, Institute of Information Engineering, Beijing, China (and 1 more)
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2020 – today
- 2025
[j87]Sheng Zhou, Hongjia Xu, Zhuonan Zheng, Jiawei Chen, Zhao Li, Jiajun Bu, Jia Wu, Xin Wang, Wenwu Zhu, Martin Ester:
A Comprehensive Survey on Deep Clustering: Taxonomy, Challenges, and Future Directions. ACM Comput. Surv. 57(3): 69:1-69:38 (2025)- [j86]Xiaomin Shen, Jianliang Gao, Tengfei Lyu, Jiamin Chen, Jiarun Zhang, Jing He, Zhao Li, Wei Yu:
Enhancing drug-drug interaction event prediction from knowledge graphs by multimodal deep neural networks. Int. J. Data Min. Bioinform. 29(3): 338-361 (2025) - [j85]Qian Peng, Buqing Cao, Xiang Xie, Hongfan Ye, Jianxun Liu, Zhao Li:
LLMSRec: Large language model with service network augmentation for web service recommendation. Knowl. Based Syst. 323: 113710 (2025) - [j84]Shichao Zhu, Shuai Zhang, Yang Liu, Chuan Zhou, Shirui Pan, Zhao Li, Hongyang Chen:
RHGNN: imposing relational inductive bias for heterogeneous graph neural network. Int. J. Mach. Learn. Cybern. 16(2): 855-871 (2025) - [j83]Yanan Cao, Fengzhao Shi, Qing Yu, Xixun Lin, Chuan Zhou, Lixin Zou, Peng Zhang, Zhao Li, Dawei Yin:
IBPL: Information Bottleneck-based Prompt Learning for graph out-of-distribution detection. Neural Networks 188: 107381 (2025) - [j82]Tairan Huang, Qiutong Li, Cong Xu, Jianliang Gao, Zhao Li, Shichao Zhang:
Revisiting low-homophily for graph-based fraud detection. Neural Networks 188: 107407 (2025) - [j81]Biao Wang, Zhao Li, Zenghui Xu, Ji Zhang:
Casformer: Information Popularity Prediction With Adaptive Cascade Sampling and Graph Transformer in Social Networks. IEEE Trans. Big Data 11(4): 1652-1663 (2025) - [j80]Xiaoyong Mei, Kejin Zhang, Changqin Huang, Xiao Chen, Ming Li, Zhao Li, Weiping Ding, Xindong Wu:
SODSR: A Three-Stage Small Object Detection via Super-Resolution Using Optimizing Combination. IEEE Trans. Emerg. Top. Comput. Intell. 9(3): 2410-2426 (2025) - [j79]Zhihui Wang, Mingshuai Li, Zhiyuan Li, Xing-Li Zhang, Ming Li, Zhao Li, Weiping Ding, Xindong Wu:
MM-Tracker: Visual Tracking With A Multi-Task Model Integrating Detection and Differentiating Feature Extraction. IEEE Trans. Emerg. Top. Comput. Intell. 9(4): 2713-2727 (2025) - [j78]Jianke Yu, Hanchen Wang, Xiaoyang Wang, Zhao Li, Lu Qin, Wenjie Zhang, Jian Liao, Ying Zhang, Bailin Yang:
Temporal Insights for Group-Based Fraud Detection on e-Commerce Platforms. IEEE Trans. Knowl. Data Eng. 37(2): 951-965 (2025) - [j77]Xuexiong Luo, Jia Wu, Jian Yang, Hongyang Chen, Zhao Li, Hao Peng, Chuan Zhou:
Knowledge Distillation Guided Interpretable Brain Subgraph Neural Networks for Brain Disorder Exploration. IEEE Trans. Neural Networks Learn. Syst. 36(2): 3559-3572 (2025) - [c123]Saisai Hu, Ji Zhang, Zhao Li, Liang Liao, Yuquan Gan, Rage Uday Kiran:
HAMAMBA: Hierarchical Adaptive Mixtures of Attention with Mamba for Robust Time Series Anomaly Detection. ICIC (8) 2025: 480-491 - [c122]Zhao Li, Yangbohan Jiao, Yuduo Shi, Donghui Ding, Jiacheng Wang, Jiarun Zhang, Haitao Xu:
RideSmart: Pre-trained Large Models for Delivery Route Planning. WWW (Companion Volume) 2025: 2867-2870 - [c121]Yuduo Shi, Zhao Li, Xuming Pan, Yaoling Chen, Bo Zhou, Haitao Xu, Wenrui Ma, Yuchen Li, Shichang Hu:
PETravel: Personalized E-bike Travel Recommendation System with Unlimited Endurance. WWW (Companion Volume) 2025: 2907-2910 - [c120]Yilun Jin, Chunqi Wu, Ying Zhang, Chenlong Shi, Zhao Li, Wei Yin, Xuming Pan:
IntentionGPT: Boosting E-commerce User Intent Recognition with Self-data Augmentation and Structure-aware Retrieval. WWW (Companion Volume) 2025: 3053-3057 - [c119]Donghui Ding, Zhao Li, Jiarun Zhang, Xuanwu Liu, Ji Zhang, Yuchen Li, Peng Cai, JianXun Liu, Guodong Long:
eBaaS: AIoT-Enabled eBike Battery-Swap as a Service for Last-Mile Delivery. WWW 2025: 5045-5053 - [i34]Xiaofeng Mao, Yuefeng Chen, Rong Zhang, Hui Xue, Zhao Li, Hang Su:
EasyRobust: A Comprehensive and Easy-to-use Toolkit for Robust and Generalized Vision. CoRR abs/2503.16975 (2025) - [i33]Yunfeng Ge, Jiawei Li, Yiji Zhao, Haomin Wen, Zhao Li, Meikang Qiu, Hongyan Li, Ming Jin, Shirui Pan:
T2S: High-resolution Time Series Generation with Text-to-Series Diffusion Models. CoRR abs/2505.02417 (2025) - 2024
- [j76]Chuanqi Lao, Pengfei Zheng, Hongyang Chen, Qiao Liu, Feng An, Zhao Li:
DeepAEG: a model for predicting cancer drug response based on data enhancement and edge-collaborative update strategies. BMC Bioinform. 25(1): 105 (2024) - [j75]Xiaoru Qu, Yifan Wang, Zhao Li, Jun Gao:
Graph-Enhanced Prompt Learning for Personalized Review Generation. Data Sci. Eng. 9(3): 309-324 (2024) - [j74]Chunqi Wu, Jingdong Li, Zhao Li, Ji Zhang, Pan Tang:
Accelerating Maximal Bicliques Enumeration with GPU on large scale network. Future Gener. Comput. Syst. 161: 601-613 (2024) - [j73]Xiaofeng Mao, Yufeng Chen, Xiaojun Jia, Rong Zhang, Hui Xue, Zhao Li:
Context-Aware Robust Fine-Tuning. Int. J. Comput. Vis. 132(5): 1685-1700 (2024) - [j72]Zhenyan Ji, Deyan Kong, Yanyan Yang, Jiqiang Liu, Zhao Li:
ASSL-HGAT: Active semi-supervised learning empowered heterogeneous graph attention network. Knowl. Based Syst. 290: 111567 (2024) - [j71]Zhao Li, Biao Wang, Jiaming Huang, Yilun Jin, Zenghui Xu, Ji Zhang, Jianliang Gao:
A graph-powered large-scale fraud detection system. Int. J. Mach. Learn. Cybern. 15(1): 115-128 (2024) - [j70]Lixin Cui, Ming Li, Lu Bai, Yue Wang, Jing Li, Yanchao Wang, Zhao Li, Yunwen Chen, Edwin R. Hancock:
QBER: Quantum-based Entropic Representations for un-attributed graphs. Pattern Recognit. 145: 109877 (2024) - [j69]Ming Li, Zhao Li, Changqin Huang, Yunliang Jiang, Xindong Wu:
EduGraph: Learning Path-Based Hypergraph Neural Networks for MOOC Course Recommendation. IEEE Trans. Big Data 10(6): 706-719 (2024) - [j68]Jianliang Gao, Jiamin Chen, Babatounde Moctard Oloulade, Raeed Al-Sabri, Tengfei Lyu, Ji Zhang, Zhao Li:
CommGNAS: Unsupervised Graph Neural Architecture Search for Community Detection. IEEE Trans. Emerg. Top. Comput. 12(2): 444-454 (2024) - [j67]Ting Yu, Ting Jiang, Mohamed Jaward Bah, Chen Zhao, Hao Huang, Mengchi Liu, Shuigeng Zhou, Zhao Li, Ji Zhang:
Incremental Maximal Clique Enumeration for Hybrid Edge Changes in Large Dynamic Graphs. IEEE Trans. Knowl. Data Eng. 36(4): 1650-1666 (2024) - [j66]Linyao Yang, Hongyang Chen, Zhao Li, Xiao Ding, Xindong Wu:
Give us the Facts: Enhancing Large Language Models With Knowledge Graphs for Fact-Aware Language Modeling. IEEE Trans. Knowl. Data Eng. 36(7): 3091-3110 (2024) - [j65]Chang Ye, Yuchen Li, Bingsheng He, Zhao Li, Jianling Sun:
Large-Scale Graph Label Propagation on GPUs. IEEE Trans. Knowl. Data Eng. 36(10): 5234-5248 (2024) - [j64]Haibo Wang, Chuan Zhou, Xin Chen, Jia Wu, Shirui Pan, Zhao Li, Jilong Wang, Philip S. Yu:
Graph Structure Reshaping Against Adversarial Attacks on Graph Neural Networks. IEEE Trans. Knowl. Data Eng. 36(11): 6344-6357 (2024) - [j63]Xuexiong Luo, Sheng Zhang, Jia Wu, Hongyang Chen, Hao Peng, Chuan Zhou, Zhao Li, Shan Xue, Jian Yang:
ReiPool: Reinforced Pooling Graph Neural Networks for Graph-Level Representation Learning. IEEE Trans. Knowl. Data Eng. 36(12): 9109-9122 (2024) - [j62]Hui Fang, Zhu Xiao, Pengfei Zheng, Hongyang Chen, Zhao Li, Jiajun Bu, Haishuai Wang:
Learning Co-occurrence Patterns for Next Destination Recommendation. IEEE Trans. Mob. Comput. 23(6): 7225-7237 (2024) - [j61]Xixun Lin, Zhao Li, Peng Zhang, Luchen Liu, Chuan Zhou, Bin Wang, Zhihong Tian:
Structure-Aware Prototypical Neural Process for Few-Shot Graph Classification. IEEE Trans. Neural Networks Learn. Syst. 35(4): 4607-4621 (2024) - [j60]Yizhen Zheng, Ming Jin, Shirui Pan, Yuan-Fang Li, Hao Peng, Ming Li, Zhao Li:
Toward Graph Self-Supervised Learning With Contrastive Adjusted Zooming. IEEE Trans. Neural Networks Learn. Syst. 35(7): 8882-8896 (2024) - [c118]Zhao Li, Qinxue Meng, Haitao Xu, Jiaming Huang, Yangbohan Jiao, Buqing Cao:
Informative Sample Labeling with Conditional Variational Deep Embedding for Active Learning. ADMA (1) 2024: 210-225 - [c117]Jingsong Lv, Zhao Li, Hongyang Chen, Ting Li:
Path-Aware Siamese Graph Neural Network for Link Prediction. ADMA (3) 2024: 263-274 - [c116]Zenghui Xu, Mingzhang Li, Ting Yu, Linlin Hou, Peng Zhang, Rage Uday Kiran, Zhao Li, Ji Zhang:
A Novel Multi-scale Spatiotemporal Graph Neural Network for Epidemic Prediction. DEXA (2) 2024: 272-287 - [c115]Yuanchen Bei, Hao Xu, Sheng Zhou, Huixuan Chi, Haishuai Wang, Mengdi Zhang, Zhao Li, Jiajun Bu:
CPDG: A Contrastive Pre-Training Method for Dynamic Graph Neural Networks. ICDE 2024: 1199-1212 - [c114]Yudong Niu, Yuchen Li, Panagiotis Karras, Yanhao Wang, Zhao Li:
Discovering Personalized Characteristic Communities in Attributed Graphs. ICDE 2024: 2834-2847 - [c113]Yang Liu, Chuan Zhou, Peng Zhang, Zhao Li, Shuai Zhang, Xixun Lin, Xindong Wu:
CL4CO: A Curriculum Training Framework for Graph-Based Neural Combinatorial Optimization. ICDM 2024: 779-784 - [c112]Yang Liu, Chuan Zhou, Huang Fang, Peng Zhang, Yiling Pang, Qingzhao Zhang, Zhao Li, Hongyang Chen:
Secure Causal Reasoning on Coarsened Graph for Privacy-aware Social Web Services. ICWS 2024: 557-567 - [c111]Zhao Li, Yang Liu, Chuan Zhou, Xuanwu Liu, Xuming Pan, Buqing Cao, Xindong Wu:
Transformer-based Graph Neural Networks for Battery Range Prediction in AIoT Battery-Swap Services. ICWS 2024: 1168-1176 - [c110]Xinyu Wang, Feng Qiang, Li Ma, Peng Zhang, Hong Yang, Zhao Li, Ji Zhang:
Federated Transformer Hawkes Processes for Distributed Event Sequence Prediction. IJCNN 2024: 1-8 - [c109]Zhao Li, Guoqi Ren, Yongchun Gu, Siwei Zhou, Xuanwu Liu, Jiaming Huang, Ming Li:
Real-time E-bike Route Planning with Battery Range Prediction. WSDM 2024: 1070-1073 - [c108]Zhen Zhang, Meihan Liu, Anhui Wang, Hongyang Chen, Zhao Li, Jiajun Bu, Bingsheng He:
Collaborate to Adapt: Source-Free Graph Domain Adaptation via Bi-directional Adaptation. WWW 2024: 664-675 - [i32]Zhen Zhang, Meihan Liu, Anhui Wang, Hongyang Chen, Zhao Li, Jiajun Bu, Bingsheng He:
Collaborate to Adapt: Source-Free Graph Domain Adaptation via Bi-directional Adaptation. CoRR abs/2403.01467 (2024) - [i31]Yang Liu, Peng Zhang, Yang Gao, Chuan Zhou, Zhao Li, Hongyang Chen:
Combinatorial Optimization with Automated Graph Neural Networks. CoRR abs/2406.02872 (2024) - [i30]Yang Liu, Chuan Zhou, Peng Zhang, Shirui Pan, Zhao Li, Hongyang Chen:
Decision-focused Graph Neural Networks for Combinatorial Optimization. CoRR abs/2406.03647 (2024) - [i29]Zhao Li, Yang Liu, Chuan Zhou, Xuanwu Liu, Xuming Pan, Buqing Cao, Xindong Wu:
Transformer-based Graph Neural Networks for Battery Range Prediction in AIoT Battery-Swap Services. CoRR abs/2407.16115 (2024) - [i28]Yang Liu, Chuan Zhou, Peng Zhang, Yanan Cao, Yongchao Liu, Zhao Li, Hongyang Chen:
CL4KGE: A Curriculum Learning Method for Knowledge Graph Embedding. CoRR abs/2408.14840 (2024) - 2023
- [j59]Liangrui Ren, Jun Wang, Zhao Li, Qingzhong Li, Guoxian Yu:
scMCs: a framework for single-cell multi-omics data integration and multiple clusterings. Bioinform. 39(4) (2023) - [j58]Runnan Tan, Qingfeng Tan, Qin Zhang, Peng Zhang, Yushun Xie, Zhao Li:
Ethereum fraud behavior detection based on graph neural networks. Computing 105(10): 2143-2170 (2023) - [j57]Yingbo Li, Zhao Li, Yucong Duan, Anamaria-Beatrice Spulber:
Physical artificial intelligence (PAI): the next-generation artificial intelligence. Frontiers Inf. Technol. Electron. Eng. 24(8): 1231-1238 (2023) - [j56]Yibo Chen, Zhiyi Jiang, Jianliang Gao, Hongliang Du, Liping Gao, Zhao Li:
A supervised and distributed framework for cold-start author disambiguation in large-scale publications. Neural Comput. Appl. 35(18): 13093-13108 (2023) - [j55]Sihao Hu, Zhen Zhang, Shengliang Lu, Bingsheng He, Zhao Li:
Sequence-Based Target Coin Prediction for Cryptocurrency Pump-and-Dump. Proc. ACM Manag. Data 1(1): 6:1-6:19 (2023) - [j54]Changqin Huang, Ming Li, Feilong Cao, Hamido Fujita, Zhao Li, Xindong Wu:
Are Graph Convolutional Networks With Random Weights Feasible? IEEE Trans. Pattern Anal. Mach. Intell. 45(3): 2751-2768 (2023) - [j53]Ming Li, Lin Zhang, Lixin Cui, Lu Bai, Zhao Li, Xindong Wu:
BLoG: Bootstrapped graph representation learning with local and global regularization for recommendation. Pattern Recognit. 144: 109874 (2023) - [j52]Xiaoxuan Guo, Zhenyan Ji, Qibo Feng, Huihui Wang, Yanyan Yang, Zhao Li:
URS: A Light-Weight Segmentation Model for Train Wheelset Monitoring. IEEE Trans. Intell. Transp. Syst. 24(7): 7707-7716 (2023) - [j51]Youxi Wu, Mingjie Chen, Yan Li, Jing Liu, Zhao Li, Jinyan Li, Xindong Wu:
ONP-Miner: One-off Negative Sequential Pattern Mining. ACM Trans. Knowl. Discov. Data 17(3): 37:1-37:24 (2023) - [j50]Zhen Zhang, Jiajun Bu, Martin Ester, Jianfeng Zhang, Zhao Li, Chengwei Yao, Huifen Dai, Zhi Yu, Can Wang:
Hierarchical Multi-View Graph Pooling With Structure Learning. IEEE Trans. Knowl. Data Eng. 35(1): 545-559 (2023) - [j49]Jialin Wang, Xiaoru Qu, Jinze Bai, Zhao Li, Ji Zhang, Jun Gao:
SAGES: Scalable Attributed Graph Embedding With Sampling for Unsupervised Learning. IEEE Trans. Knowl. Data Eng. 35(5): 5216-5229 (2023) - [j48]Yang Gao, Peng Zhang, Hong Yang, Chuan Zhou, Yue Hu, Zhihong Tian, Zhao Li, Jingren Zhou:
GraphNAS++: Distributed Architecture Search for Graph Neural Networks. IEEE Trans. Knowl. Data Eng. 35(7): 6973-6987 (2023) - [j47]Yang Gao, Peng Zhang, Chuan Zhou, Hong Yang, Zhao Li, Yue Hu, Philip S. Yu:
HGNAS++: Efficient Architecture Search for Heterogeneous Graph Neural Networks. IEEE Trans. Knowl. Data Eng. 35(9): 9448-9461 (2023) - [j46]Zhao Li, Xia Chen, Junshuai Song, Jun Gao:
Adaptive Label Propagation for Group Anomaly Detection in Large-Scale Networks. IEEE Trans. Knowl. Data Eng. 35(12): 12053-12067 (2023) - [j45]Sanmin Liu, Shan Xue, Jia Wu, Chuan Zhou, Jian Yang, Zhao Li, Jie Cao:
Online Active Learning for Drifting Data Streams. IEEE Trans. Neural Networks Learn. Syst. 34(1): 186-200 (2023) - [j44]Long Yang, Zhao Li, Zehong Hu, Shasha Ruan, Gang Pan:
A Thompson Sampling Algorithm With Logarithmic Regret for Unimodal Gaussian Bandit. IEEE Trans. Neural Networks Learn. Syst. 34(9): 5332-5341 (2023) - [j43]Zhao Li, Haifeng Sun, Zheng Xiong, Qun Huang, Zehong Hu, Ding Li, Shasha Ruan, Hai Hong, Jie Gui, Jintao He, Zebin Xu, Yang Fang:
Noah: Reinforcement-Learning-Based Rate Limiter for Microservices in Large-Scale E-Commerce Services. IEEE Trans. Neural Networks Learn. Syst. 34(9): 5403-5417 (2023) - [j42]Yifan He, Zhao Li, Zhenpeng Li, Shuigeng Zhou, Ting Yu, Ji Zhang:
Towards Cross-Lingual Multi-Modal Misinformation Detection for E-Commerce Management. IEEE Trans. Netw. Serv. Manag. 20(2): 1040-1050 (2023) - [j41]Haicheng Tao, Jiawei Miao, Zhao Li, Zhenyu Zhang, Shuming Feng, Shu Wang, Jie Cao:
HAN-CAD: hierarchical attention network for context anomaly detection in multivariate time series. World Wide Web (WWW) 26(5): 2785-2800 (2023) - [c107]Jingdong Li, Zhao Li, Xiaoling Wang, Xingjian Lu, Ji Zhang, Hongyang Chen:
GPU-Accelerated Maximal Bicliques Mining Framework for Large E-commerce Networks. ISPA/BDCloud/SocialCom/SustainCom 2023: 539-544 - [c106]Li Zheng, Donghui Ding, Zhao Li, Jun Gao, Jie Xiao, Hongyang Chen, Schahram Dustdar, Ji Zhang:
Anomaly Detection in Battery Charging Systems: A Deep Sequence Model Approach. ISPA/BDCloud/SocialCom/SustainCom 2023: 587-594 - [c105]Yixin Ren, Li Ke, Dong Li, Hui Xue, Zhao Li, Shuigeng Zhou:
Incremental Graph Classification by Class Prototype Construction and Augmentation. CIKM 2023: 2136-2145 - [c104]Yufeng Ye, Qichao He, Peng Zhang, Jie Xiao, Zhao Li:
Multivariate Time Series Anomaly Detection with Fourier Time Series Transformer. CloudNet 2023: 381-388 - [c103]Houyi Li, Zhihong Chen, Zhao Li, Qinkai Zheng, Peng Zhang, Shuigeng Zhou:
GIPA: A General Information Propagation Algorithm for Graph Learning. DASFAA (4) 2023: 465-476 - [c102]Li Zheng, Zhao Li, Jun Gao, Zhenpeng Li, Jia Wu, Chuan Zhou:
Domain Adaptation for Anomaly Detection on Heterogeneous Graphs in E-Commerce. ECIR (2) 2023: 304-318 - [c101]Linhao Luo, Yumeng Li, Buyu Gao, Shuai Tang, Sinan Wang, Jiancheng Li, Tanchao Zhu, Jiancai Liu, Zhao Li, Shirui Pan:
MAMDR: A Model Agnostic Learning Framework for Multi-Domain Recommendation. ICDE 2023: 3079-3092 - [c100]Yuanchen Bei, Sheng Zhou, Qiaoyu Tan, Hao Xu, Hao Chen, Zhao Li, Jiajun Bu:
Reinforcement Neighborhood Selection for Unsupervised Graph Anomaly Detection. ICDM 2023: 11-20 - [c99]Shuai Zhang, Chuan Zhou, Peng Zhang, Yang Liu, Zhao Li, Hongyang Chen:
Multiple Hypothesis Testing for Anomaly Detection in Multi-type Event Sequences. ICDM 2023: 808-817 - [c98]Yang Liu, Chuan Zhou, Peng Zhang, Shuai Zhang, Xiaoou Zhang, Zhao Li, Hongyang Chen:
Decision-focused Graph Neural Networks for Graph Learning and Optimization. ICDM 2023: 1151-1156 - [c97]Shu Liu, Zhiqiang Ye, Jian Liao, Jinxin Wu, Zhao Li:
Unsupervised Product Title Optimization Based on Search Behavior Knowledge in E-commerce. IJCNN 2023: 1-8 - [c96]Jianke Yu, Hanchen Wang, Xiaoyang Wang, Zhao Li, Lu Qin, Wenjie Zhang, Jian Liao, Ying Zhang:
Group-based Fraud Detection Network on e-Commerce Platforms. KDD 2023: 5463-5475 - [c95]Yang Liu, Chuan Zhou, Shirui Pan, Jia Wu, Zhao Li, Hongyang Chen, Peng Zhang:
CurvDrop: A Ricci Curvature Based Approach to Prevent Graph Neural Networks from Over-Smoothing and Over-Squashing. WWW 2023: 221-230 - [i27]Houyi Li, Zhihong Chen, Zhao Li, Qinkai Zheng, Peng Zhang, Shuigeng Zhou:
GIPA++: A General Information Propagation Algorithm for Graph Learning. CoRR abs/2301.08209 (2023) - [i26]Linyao Yang, Hongyang Chen, Zhao Li, Xiao Ding, Xindong Wu:
ChatGPT is not Enough: Enhancing Large Language Models with Knowledge Graphs for Fact-aware Language Modeling. CoRR abs/2306.11489 (2023) - [i25]Yuanchen Bei, Hao Xu, Sheng Zhou, Huixuan Chi, Haishuai Wang, Mengdi Zhang, Zhao Li, Jiajun Bu:
CPDG: A Contrastive Pre-Training Method for Dynamic Graph Neural Networks. CoRR abs/2307.02813 (2023) - [i24]Yuanchen Bei, Sheng Zhou, Qiaoyu Tan, Hao Xu, Hao Chen, Zhao Li, Jiajun Bu:
Reinforcement Neighborhood Selection for Unsupervised Graph Anomaly Detection. CoRR abs/2312.05526 (2023) - 2022
- [j40]Juan Du, Dajian Zeng, Zhao Li, Jingxuan Liu, Mingqi Lv, Ling Chen, Dan Zhang, Shouling Ji:
An interpretable outcome prediction model based on electronic health records and hierarchical attention. Int. J. Intell. Syst. 37(6): 3460-3479 (2022) - [j39]Pengfei Ma, Youxi Wu, Yan Li, Lei Guo, Zhao Li:
DBC-Forest: Deep forest with binning confidence screening. Neurocomputing 475: 112-122 (2022) - [j38]Cong Xu, Huiling Huang, Xiaoting Ying, Jianliang Gao, Zhao Li, Peng Zhang, Jie Xiao, Jiarun Zhang, Jiangjian Luo:
HGNN: Hierarchical graph neural network for predicting the classification of price-limit-hitting stocks. Inf. Sci. 607: 783-798 (2022) - [j37]Linlin Hou, Ji Zhang, Ou Wu, Ting Yu, Zhen Wang, Zhao Li, Jianliang Gao, Yingchun Ye, Rujing Yao:
Method and dataset entity mining in scientific literature: A CNN + BiLSTM model with self-attention. Knowl. Based Syst. 235: 107621 (2022) - [j36]Jianliang Gao, Tengfei Lyu, Fan Xiong, Jianxin Wang, Weimao Ke, Zhao Li:
Predicting the Survival of Cancer Patients With Multimodal Graph Neural Network. IEEE ACM Trans. Comput. Biol. Bioinform. 19(2): 699-709 (2022) - [j35]Jianliang Gao, Xiaoting Ying, Cong Xu, Jianxin Wang, Shichao Zhang, Zhao Li:
Graph-Based Stock Recommendation by Time-Aware Relational Attention Network. ACM Trans. Knowl. Discov. Data 16(1): 4:1-4:21 (2022) - [j34]Zhao Li, Junshuai Song, Zehong Hu, Zhen Wang, Jun Gao:
Constrained Dual-Level Bandit for Personalized Impression Regulation in Online Ranking Systems. ACM Trans. Knowl. Discov. Data 16(2): 23:1-23:23 (2022) - [j33]Guoxian Yu, Xia Chen, Carlotta Domeniconi, Jun Wang, Zhao Li, Zili Zhang, Xiangliang Zhang:
CMAL: Cost-Effective Multi-Label Active Learning by Querying Subexamples. IEEE Trans. Knowl. Data Eng. 34(5): 2091-2105 (2022) - [j32]Youxi Wu, Xiaohui Wang, Yan Li, Lei Guo, Zhao Li, Ji Zhang, Xindong Wu:
OWSP-Miner: Self-adaptive One-off Weak-gap Strong Pattern Mining. ACM Trans. Manag. Inf. Syst. 13(3): 25:1-25:23 (2022) - [j31]Yixin Liu, Zhao Li, Shirui Pan, Chen Gong, Chuan Zhou, George Karypis:
Anomaly Detection on Attributed Networks via Contrastive Self-Supervised Learning. IEEE Trans. Neural Networks Learn. Syst. 33(6): 2378-2392 (2022) - [j30]Ge Zhang, Zhao Li, Jiaming Huang, Jia Wu, Chuan Zhou, Jian Yang, Jianliang Gao:
eFraudCom: An E-commerce Fraud Detection System via Competitive Graph Neural Networks. ACM Trans. Inf. Syst. 40(3): 47:1-47:29 (2022) - [j29]Jiamin Chen, Jianliang Gao, Yibo Chen, Babatounde Moctard Oloulade, Tengfei Lyu, Zhao Li:
Auto-GNAS: A Parallel Graph Neural Architecture Search Framework. IEEE Trans. Parallel Distributed Syst. 33(11): 3117-3128 (2022) - [j28]Ting Jiang, Yang Zhang, Minhao Zhang, Ting Yu, Yizheng Chen, Chenhao Lu, Ji Zhang, Zhao Li, Jun Gao, Shuigeng Zhou:
A Survey on Contact Tracing: The Latest Advancements and Challenges. ACM Trans. Spatial Algorithms Syst. 8(2): 1-35 (2022) - [j27]Fanzhen Liu, Zhao Li, Baokun Wang, Jia Wu, Jian Yang, Jiaming Huang, Yiqing Zhang, Weiqiang Wang, Shan Xue, Surya Nepal, Quan Z. Sheng:
eRiskCom: an e-commerce risky community detection platform. VLDB J. 31(5): 1085-1101 (2022) - [j26]Zhao Li, Yixin Liu, Zhen Zhang, Shirui Pan, Jianliang Gao, Jiajun Bu:
Cyclic label propagation for graph semi-supervised learning. World Wide Web 25(2): 703-721 (2022) - [c94]Yi Cao, Sihao Hu, Yu Gong, Zhao Li, Yazheng Yang, Qingwen Liu, Shouling Ji:
GIFT: Graph-guIded Feature Transfer for Cold-Start Video Click-Through Rate Prediction. CIKM 2022: 2964-2973 - [c93]Qiutong Li, Yanshen He, Cong Xu, Feng Wu, Jianliang Gao, Zhao Li:
Dual-Augment Graph Neural Network for Fraud Detection. CIKM 2022: 4188-4192 - [c92]Zhenyu Zhang, Zhao Li, Dongyang Cai, Shuming Feng, Jiawei Miao, Yirun Guan, Haicheng Tao, Jie Cao:
Time Series Anomaly Detection for Smart Grids via Multiple Self-Supervised Tasks Learning. ICKG 2022: 392-397 - [c91]Sinan Wang, Yumeng Li, Hongyan Li, Tanchao Zhu, Zhao Li, Wenwu Ou:
Multi-Task Learning with Calibrated Mixture of Insightful Experts. ICDE 2022: 3307-3319 - [c90]Mohamed Jaward Bah, Ji Zhang, Ting Yu, Feng Xia, Zhao Li, Shuigeng Zhou, Hongzhi Wang:
A Generative Adversarial Active Learning Method for Effective Outlier Detection. ICTAI 2022: 131-139 - [c89]Chao Lin, Zhao Li, Sheng Zhou, Shichang Hu, Jialun Zhang, Linhao Luo, Jiarun Zhang, Longtao Huang, Yuan He:
RMGN: A Regional Mask Guided Network for Parser-free Virtual Try-on. IJCAI 2022: 1151-1158 - [c88]Junwei Zhang, Zhao Li, Hao Peng, Ming Li, Xiaofen Wang:
Feedforward Neural Network Reconstructed from High-order Quantum Systems. IJCNN 2022: 1-8 - [c87]Junwei Zhang, Zhao Li, Jianmao Xiao, Ming Li:
Neural Network Model Reconstructed from Entangled Quantum States. IJCNN 2022: 1-8 - [c86]Junwei Zhang, Zhao Li, Juan Wang, Yinghui Wang, Shichang Hu, Jie Xiao, Zhaolin Li:
Quantum Entanglement Inspired Correlation Learning for Classification. PAKDD (2) 2022: 58-70 - [c85]Jiahao Yuan, Zhao Li, Pengcheng Zou, Xuan Gao, Jinwei Pan, Wendi Ji, Xiaoling Wang:
Community Trend Prediction on Heterogeneous Graph in E-commerce. WSDM 2022: 1319-1327 - [i23]Sihao Hu, Yi Cao, Yu Gong, Zhao Li, Yazheng Yang, Qingwen Liu, Wengwu Ou, Shouling Ji:
GIFT: Graph-guIded Feature Transfer for Cold-Start Video Click-Through Rate Prediction. CoRR abs/2202.11525 (2022) - [i22]Jiahao Yuan, Zhao Li, Pengcheng Zou, Xuan Gao, Jinwei Pan, Wendi Ji, Xiaoling Wang:
Community Trend Prediction on Heterogeneous Graph in E-commerce. CoRR abs/2202.12081 (2022) - [i21]Linhao Luo, Yumeng Li, Buyu Gao, Shuai Tang, Sinan Wang, Jiancheng Li, Tanchao Zhu, Jiancai Liu, Zhao Li, Binqiang Zhao, Ziyang Zheng, Shirui Pan:
MAMDR: A Model Agnostic Learning Method for Multi-Domain Recommendation. CoRR abs/2202.12524 (2022) - [i20]Chao Lin, Zhao Li, Sheng Zhou, Shichang Hu, Jialun Zhang, Linhao Luo, Jiarun Zhang, Longtao Huang, Yuan He:
RMGN: A Regional Mask Guided Network for Parser-free Virtual Try-on. CoRR abs/2204.11258 (2022) - [i19]Sihao Hu, Zhen Zhang, Shengliang Lu, Bingsheng He, Zhao Li:
Sequence-Based Target Coin Prediction for Cryptocurrency Pump-and-Dump. CoRR abs/2204.12929 (2022) - [i18]Sheng Zhou, Hongjia Xu, Zhuonan Zheng, Jiawei Chen, Zhao Li, Jiajun Bu, Jia Wu, Xin Wang, Wenwu Zhu, Martin Ester:
A Comprehensive Survey on Deep Clustering: Taxonomy, Challenges, and Future Directions. CoRR abs/2206.07579 (2022) - [i17]Youxi Wu, Mingjie Chen, Yan Li, Jing Liu, Zhao Li, Jinyan Li, Xindong Wu:
One-off Negative Sequential Pattern Mining. CoRR abs/2207.11950 (2022) - [i16]Jingsong Lv, Zhao Li, Hongyang Chen, Yao Qi, Chunqi Wu:
Path-aware Siamese Graph Neural Network for Link Prediction. CoRR abs/2208.05781 (2022) - [i15]Xiaofeng Mao, Yuefeng Chen, Xiaojun Jia, Rong Zhang, Hui Xue, Zhao Li:
Context-Aware Robust Fine-Tuning. CoRR abs/2211.16175 (2022) - 2021
- [j25]Lian Yu, Jingtao Dong, Lihao Chen, Mengyuan Li, Bingfeng Xu, Zhao Li, Lin Qiao, Lijun Liu, Bei Zhao, Chen Zhang:
PBCNN: Packet Bytes-based Convolutional Neural Network for Network Intrusion Detection. Comput. Networks 194: 108117 (2021) - [j24]Zhao Li, Yuying Xing, Jiaming Huang, Haobo Wang, Jianliang Gao, Guoxian Yu:
Large-scale online multi-view graph neural network and applications. Future Gener. Comput. Syst. 116: 145-155 (2021) - [j23]Panpan Wang, Yuexian Hou, Zhao Li, Yazhou Zhang:
QIRM: A quantum interactive retrieval model for session search. Neurocomputing 451: 57-66 (2021) - [j22]Junshuai Song, Xiaoru Qu, Zehong Hu, Zhao Li, Jun Gao, Ji Zhang:
A subgraph-based knowledge reasoning method for collective fraud detection in E-commerce. Neurocomputing 461: 587-597 (2021) - [j21]Hong Yang, Peng Zhang, Haishuai Wang, Chuan Zhou, Zhao Li, Li Gao, Qingfeng Tan:
Towards embedding information diffusion data for understanding big dynamic networks. Neurocomputing 466: 265-284 (2021) - [j20]Youxi Wu, Meng Geng, Yan Li, Lei Guo, Zhao Li, Philippe Fournier-Viger, Xingquan Zhu, Xindong Wu:
HANP-Miner: High average utility nonoverlapping sequential pattern mining. Knowl. Based Syst. 229: 107361 (2021) - [j19]Zhen Zhang, Jiajun Bu, Zhao Li, Chengwei Yao, Can Wang, Jia Wu:
TigeCMN: On exploration of temporal interaction graph embedding via Coupled Memory Neural Networks. Neural Networks 140: 13-26 (2021) - [j18]Jun Gao, Jiazun Chen, Zhao Li, Ji Zhang:
ICS-GNN: Lightweight Interactive Community Search via Graph Neural Network. Proc. VLDB Endow. 14(6): 1006-1018 (2021) - [j17]Jingbo Xu, Zhanning Bai, Wenfei Fan, Longbin Lai, Xue Li, Zhao Li, Zhengping Qian, Lei Wang, Yanyan Wang, Wenyuan Yu, Jingren Zhou:
GraphScope: A One-Stop Large Graph Processing System. Proc. VLDB Endow. 14(12): 2703-2706 (2021) - [j16]Wenfei Fan, Tao He, Longbin Lai, Xue Li, Yong Li, Zhao Li, Zhengping Qian, Chao Tian, Lei Wang, Jingbo Xu, Youyang Yao, Qiang Yin, Wenyuan Yu, Kai Zeng, Kun Zhao, Jingren Zhou, Diwen Zhu, Rong Zhu:
GraphScope: A Unified Engine For Big Graph Processing. Proc. VLDB Endow. 14(12): 2879-2892 (2021) - [j15]Yifan He, Zhao Li, Lei Fu, Anhui Wang, Peng Zhang, Shuigeng Zhou, Ji Zhang, Ting Yu:
TARA-Net: A Fusion Network for Detecting Takeaway Rider Accidents. ACM Trans. Intell. Syst. Technol. 12(6): 72:1-72:19 (2021) - [c84]Zhen Wang, Yang Zhang, Ai Jiang, Ji Zhang, Zhao Li, Jun Gao, Ke Li, Chenhao Lu, Zujie Ren:
Improving Irregularly Sampled Time Series Learning with Time-Aware Dual-Attention Memory-Augmented Networks. CIKM 2021: 3523-3527 - [c83]Haishuai Wang, Zhao Li, Xuanwu Liu, Donghui Ding, Zehong Hu, Peng Zhang, Chuan Zhou, Jiajun Bu:
Fulfillment-Time-Aware Personalized Ranking for On-Demand Food Recommendation. CIKM 2021: 4184-4192 - [c82]Zhao Li, Pengcheng Zou, Xia Chen, Shichang Hu, Peng Zhang, Yumou Zhang, Bingsheng He, Yuchen Li, Xing Tang:
From Community Search to Community Understanding: A Multimodal Community Query Engine. CIKM 2021: 4749-4753 - [c81]Jianliang Gao, Zhao Li, Fan Xiong, Xiangyue Liu, Jie Xiao, Biao Wang, Ji Zhang:
TAGCN: Typed Attention Graph Convolutional Networks for Entity Alignment in Cross-lingual Knowledge Graphs. HPCC/DSS/SmartCity/DependSys 2021: 2050-2059 - [c80]Md. Motaher Hossain, Youxi Wu, Philippe Fournier-Viger, Zhao Li, Lei Guo, Yan Li:
HSNP-Miner: High Utility Self-Adaptive Nonoverlapping Pattern Mining. ICBK 2021: 70-77 - [c79]Runnan Tan, Qingfeng Tan, Peng Zhang, Zhao Li:
Graph Neural Network for Ethereum Fraud Detection. ICBK 2021: 78-85 - [c78]Shixun Huang, Yuchen Li, Zhifeng Bao, Zhao Li:
Towards Efficient Motif-based Graph Partitioning: An Adaptive Sampling Approach. ICDE 2021: 528-539 - [c77]Shen Xin, Zhao Li, Pengcheng Zou, Cheng Long, Jie Zhang, Jiajun Bu, Jingren Zhou:
ATNN: Adversarial Two-Tower Neural Network for New Item's Popularity Prediction in E-commerce. ICDE 2021: 2499-2510 - [c76]Sihao Hu, Xuhong Zhang, Junfeng Zhou, Shouling Ji, Jiaqi Yuan, Zhao Li, Zhipeng Wang, Qi Chen, Qinming He, Liming Fang:
Turbo: Fraud Detection in Deposit-free Leasing Service via Real-Time Behavior Network Mining. ICDE 2021: 2583-2594 - [c75]Jingdong Li, Zhao Li, Jiaming Huang, Ji Zhang, Xiaoling Wang, Xingjian Lu, Jingren Zhou:
Large-scale Fake Click Detection for E-commerce Recommendation Systems. ICDE 2021: 2595-2606 - [c74]Xixun Lin, Jiangxia Cao, Peng Zhang, Chuan Zhou, Zhao Li, Jia Wu, Bin Wang:
Disentangled Deep Multivariate Hawkes Process for Learning Event Sequences. ICDM 2021: 360-369 - [c73]Yang Gao, Peng Zhang, Zhao Li, Chuan Zhou, Yongchao Liu, Yue Hu:
Heterogeneous Graph Neural Architecture Search. ICDM 2021: 1066-1071 - [c72]Li Zheng, Jun Gao, Zhao Li, Ji Zhang:
AdaBoosting Clusters on Graph Neural Networks. ICDM 2021: 1523-1528 - [c71]Tengfei Lyu, Jianliang Gao, Ling Tian, Zhao Li, Peng Zhang, Ji Zhang:
MDNN: A Multimodal Deep Neural Network for Predicting Drug-Drug Interaction Events. IJCAI 2021: 3536-3542 - [c70]Junwei Zhang, Ruifang He, Zhao Li, Ji Zhang, Biao Wang, Zhaolin Li, Tianyuan Niu:
Quantum Correlation Revealed by Bell State for Classification Tasks. IJCNN 2021: 1-8 - [c69]Junwei Zhang, Zhao Li, Ruifang He, Ji Zhang, Biao Wang, Zhaolin Li, Tianyuan Niu:
Interactive Quantum Classifier Inspired by Quantum Open System Theory. IJCNN 2021: 1-7 - [c68]Zhiqiang Zhang, Chunqi Wu, Zhao Li, Juanjuan Peng, Haiyan Wu, Haiyu Song, Shengchun Deng, Biao Wang:
Author Name Disambiguation Using Multiple Graph Attention Networks. IJCNN 2021: 1-8 - [c67]Zhen Zhang, Jiajun Bu, Martin Ester, Zhao Li, Chengwei Yao, Zhi Yu, Can Wang:
H2MN: Graph Similarity Learning with Hierarchical Hypergraph Matching Networks. KDD 2021: 2274-2284 - [c66]Haishuai Wang, Zhao Li, Peng Zhang, Jiaming Huang, Pengrui Hui, Jian Liao, Ji Zhang, Jiajun Bu:
Live-Streaming Fraud Detection: A Heterogeneous Graph Neural Network Approach. KDD 2021: 3670-3678 - [c65]Jiamin Chen, Jianliang Gao, Yibo Chen, Babatounde Moctard Oloulade, Tengfei Lyu, Zhao Li:
GraphPAS: Parallel Architecture Search for Graph Neural Networks. SIGIR 2021: 2182-2186 - [c64]Chang Ye, Yuchen Li, Bingsheng He, Zhao Li, Jianling Sun:
GPU-Accelerated Graph Label Propagation for Real-Time Fraud Detection. SIGMOD Conference 2021: 2348-2356 - [c63]Zhao Li, Donghui Ding, Xuanwu Liu, Peng Zhang, Youxi Wu, Lingzhou Ma:
TTNet: Tabular Transfer Network for Few-samples Prediction. WI/IAT 2021: 293-301 - [c62]Jianliang Gao, Cong Xu, Huiling Huang, Xiaoting Ying, Zhao Li, Peng Zhang, Jie Xiao, Jiarun Zhang, Jiangjian Luo:
Predicting Price-Limit-Hitting Stocks with Hierarchical Graph Neural Network. WI/IAT (Workshop/Special Session) 2021: 428-432 - [c61]Zhao Li, Pengrui Hui, Peng Zhang, Jiaming Huang, Biao Wang, Ling Tian, Ji Zhang, Jianliang Gao, Xing Tang:
What Happens Behind the Scene? Towards Fraud Community Detection in E-Commerce from Online to Offline. WWW (Companion Volume) 2021: 105-113 - [c60]Jinze Bai, Jialin Wang, Zhao Li, Donghui Ding, Ji Zhang, Jun Gao:
ATJ-Net: Auto-Table-Join Network for Automatic Learning on Relational Databases. WWW 2021: 1540-1551 - [i14]Yixin Liu, Zhao Li, Shirui Pan, Chen Gong, Chuan Zhou, George Karypis:
Anomaly Detection on Attributed Networks via Contrastive Self-Supervised Learning. CoRR abs/2103.00113 (2021) - [i13]Yizhen Zheng, Ming Jin, Shirui Pan, Yuan-Fang Li, Hao Peng, Ming Li, Zhao Li:
Towards Graph Self-Supervised Learning with Contrastive Adjusted Zooming. CoRR abs/2111.10698 (2021) - [i12]Jiamin Chen, Jianliang Gao, Yibo Chen, Babatounde Moctard Oloulade, Tengfei Lyu, Zhao Li:
GraphPAS: Parallel Architecture Search for Graph Neural Networks. CoRR abs/2112.03461 (2021) - [i11]Pengfei Ma, Youxi Wu, Yan Li, Lei Guo, Zhao Li:
DBC-Forest: Deep forest with binning confidence screening. CoRR abs/2112.13182 (2021) - 2020
- [j14]Junshuai Song, Zhao Li, Chang Zhou, Jinze Bai, Zhenpeng Li, Jian Li, Jun Gao:
Co-Displayed Items Aware List Recommendation. IEEE Access 8: 64591-64602 (2020) - [j13]Zhao Li, Long Zhang, Chenyi Lei, Xia Chen, Jianliang Gao, Jun Gao:
Attention with Long-Term Interval-Based Deep Sequential Learning for Recommendation. Complex. 2020: 6136095:1-6136095:13 (2020) - [j12]Zhao Li, Haobo Wang, Donghui Ding, Shichang Hu, Zhen Zhang, Weiwei Liu, Jianliang Gao, Zhiqiang Zhang, Ji Zhang:
Deep Interest-Shifting Network with Meta-Embeddings for Fresh Item Recommendation. Complex. 2020: 8828087:1-8828087:13 (2020) - [j11]Bo Hu, Xin Liu, Jinghong Zhao, Siya Xu, Zhenjiang Lei, Kun Xiao, Dong Liu, Zhao Li:
A Packet Scheduling Method Based on Dynamic Adjustment of Service Priority for Electric Power Wireless Communication Network. Wirel. Commun. Mob. Comput. 2020: 8869898:1-8869898:13 (2020) - [c59]Jianliang Gao, Ling Tian, Yuxin Liu, Jianxin Wang, Zhao Li, Xiaohua Hu:
Multi-task Based Few-Shot Learning for Disease Similarity Measurement. BIBM 2020: 263-268 - [c58]Xiaoting Ying, Cong Xu, Jianliang Gao, Jianxin Wang, Zhao Li:
Time-aware Graph Relational Attention Network for Stock Recommendation. CIKM 2020: 2281-2284 - [c57]Xiaoru Qu, Zhao Li, Jialin Wang, Zhipeng Zhang, Pengcheng Zou, Junxiao Jiang, Jiaming Huang, Rong Xiao, Ji Zhang, Jun Gao:
Category-aware Graph Neural Networks for Improving E-commerce Review Helpfulness Prediction. CIKM 2020: 2693-2700 - [c56]Shen Xin, Yizhou Ye, Martin Ester, Cheng Long, Jie Zhang, Zhao Li, Kaiying Yuan, Yanghua Li:
Multi-Channel Sellers Traffic Allocation in Large-scale E-commerce Promotion. CIKM 2020: 2845-2852 - [c55]Xuanwu Liu, Zhao Li, Yuanhui Mao, Lixiang Lai, Ben Gao, Yao Deng, Guoxian Yu:
Dynamical User Intention Prediction via Multi-modal Learning. DASFAA (1) 2020: 519-535 - [c54]Zhao Li, Chenyi Lei, Pengcheng Zou, Donghui Ding, Shichang Hu, Zehong Hu, Shouling Ji, Jianliang Gao:
Attention with Long-Term Interval-Based Gated Recurrent Units for Modeling Sequential User Behaviors. DASFAA (1) 2020: 663-670 - [c53]Jinze Bai, Jialin Wang, Zhao Li, Donghui Ding, Jiaming Huang, Pengrui Hui, Jun Gao, Ji Zhang, Zujie Ren:
Recommendation on Heterogeneous Information Network with Type-Sensitive Sampling. DASFAA (3) 2020: 673-684 - [c52]Yuying Xing, Zhao Li, Pengrui Hui, Jiaming Huang, Xia Chen, Long Zhang, Guoxian Yu:
Link Inference via Heterogeneous Multi-view Graph Neural Networks. DASFAA (1) 2020: 698-706 - [c51]Junwei Zhang, Yuexian Hou, Zhao Li, Long Zhang, Xia Chen:
Strong Statistical Correlation Revealed by Quantum Entanglement for Supervised Learning. ECAI 2020: 1650-1657 - [c50]Junshuai Song, Zhao Li, Zehong Hu, Yucheng Wu, Zhenpeng Li, Jian Li, Jun Gao:
PoisonRec: An Adaptive Data Poisoning Framework for Attacking Black-box Recommender Systems. ICDE 2020: 157-168 - [c49]Shouling Ji, Qinchen Gu, Haiqin Weng, Qianjun Liu, Pan Zhou, Jing Chen, Zhao Li, Raheem Beyah, Ting Wang:
De-Health: All Your Online Health Information Are Belong to Us. ICDE 2020: 1609-1620 - [c48]Zhao Li, Xin Shen, Yuhang Jiao, Xuming Pan, Pengcheng Zou, Xianling Meng, Chengwei Yao, Jiajun Bu:
Hierarchical Bipartite Graph Neural Networks: Towards Large-Scale E-commerce Applications. ICDE 2020: 1677-1688 - [c47]Haobo Wang, Zhao Li, Jiaming Huang, Pengrui Hui, Weiwei Liu, Tianlei Hu, Gang Chen:
Collaboration Based Multi-Label Propagation for Fraud Detection. IJCAI 2020: 2477-2483 - [c46]Haobo Wang, Yuzhou Qiang, Chen Chen, Weiwei Liu, Tianlei Hu, Zhao Li, Gang Chen:
Online Partial Label Learning. ECML/PKDD (2) 2020: 455-470 - [c45]Jianliang Gao, Tengfei Lyu, Fan Xiong, Jianxin Wang, Weimao Ke, Zhao Li:
MGNN: A Multimodal Graph Neural Network for Predicting the Survival of Cancer Patients. SIGIR 2020: 1697-1700 - [c44]Jingbo Xu, Zhao Li, Weibin Zeng, Jiaming Huang:
Graph Computing System and Application Based on Large-Scale Information Network. SINC 2020: 158-178 - [c43]Zhen Zhang, Jiajun Bu, Martin Ester, Jianfeng Zhang, Chengwei Yao, Zhao Li, Can Wang:
Learning Temporal Interaction Graph Embedding via Coupled Memory Networks. WWW 2020: 3049-3055 - [i10]Linlin Hou, Ji Zhang, Ou Wu, Ting Yu, Zhen Wang, Zhao Li, Jianliang Gao, Yingchun Ye, Rujing Yao:
Method and Dataset Entity Mining in Scientific Literature: A CNN + Bi-LSTM Model with Self-attention. CoRR abs/2010.13583 (2020) - [i9]Ting Jiang, Yizheng Chen, Yang Zhang, Minhao Zhang, Chenhao Lu, Ji Zhang, Zhao Li, Jun Gao, Shuigeng Zhou:
A Survey on Contact Tracing: the Latest Advancements and Challenges. CoRR abs/2011.02094 (2020) - [i8]Zhao Li, Donghui Ding, Pengcheng Zou, Yu Gong, Xi Chen, Ji Zhang, Jianliang Gao, Youxi Wu, Yucong Duan:
Distant Supervision for E-commerce Query Segmentation via Attention Network. CoRR abs/2011.04166 (2020) - [i7]Zhao Li, Yixin Liu, Zhen Zhang, Shirui Pan, Jianliang Gao, Jiajun Bu:
Cyclic Label Propagation for Graph Semi-supervised Learning. CoRR abs/2011.11860 (2020) - no results
2010 – 2019
- 2019
- [j10]Yucong Duan, Xiaobing Sun, Haoyang Che, Chunjie Cao, Zhao Li, Xiaoxian Yang:
Modeling Data, Information and Knowledge for Security Protection of Hybrid IoT and Edge Resources. IEEE Access 7: 99161-99176 (2019) - [j9]Zhao Li, Zhanlin Liu, Jiaming Huang, Geyu Tang, Yucong Duan, Zhiqiang Zhang, Yifan Yang:
MV-GCN: Multi-View Graph Convolutional Networks for Link Prediction. IEEE Access 7: 176317-176328 (2019) - [j8]Jing (Selena) He, Meng Han, Shouling Ji, Tianyu Du, Zhao Li:
Spreading social influence with both positive and negative opinions in online networks. Big Data Min. Anal. 2(2): 100-117 (2019) - [j7]Zhao Li, Xia Chen, Xuming Pan, Pengcheng Zou, Yuchen Li, Guoxian Yu:
SHOAL: Large-scale Hierarchical Taxonomy via Graph-based Query Coalition in E-commerce. Proc. VLDB Endow. 12(12): 1858-1861 (2019) - [c42]Zehong Hu, Jie Zhang, Zhao Li:
General Robustness Evaluation of Incentive Mechanism against Bounded Rationality Using Continuum-Armed Bandits. AAAI 2019: 6070-6078 - [c41]Zehong Hu, Zhen Wang, Zhao Li, Shichang Hu, Shasha Ruan, Jie Zhang:
Fraud Regulating Policy for E-Commerce via Constrained Contextual Bandits. AAMAS 2019: 1377-1385 - [c40]Panpan Wang, Zhao Li, Yazhou Zhang, Yuexian Hou, Liangzhu Ge:
QPIN: A Quantum-inspired Preference Interactive Network for E-commerce Recommendation. CIKM 2019: 2329-2332 - [c39]Shen Xin, Martin Ester, Jiajun Bu, Chengwei Yao, Zhao Li, Xun Zhou, Yizhou Ye, Can Wang:
Multi-task based Sales Predictions for Online Promotions. CIKM 2019: 2823-2831 - [c38]Panpan Wang, Zhao Li, Xuming Pan, Donghui Ding, Xia Chen, Yuexian Hou:
Density Matrix Based Preference Evolution Networks for E-Commerce Recommendation. DASFAA (2) 2019: 366-383 - [c37]Yunfei Liu, Jing Li, Zhao Li, Lin Qiao, Shuo Chen, Xuming Lv:
Transformer Fault Diagnosis Model Based on Iterative Nearest Neighbor Interpolation and Ensemble Learning. DSIT 2019: 140-146 - [c36]Li Shen, Yang Shen, Chunhe Song, Zhao Li, Ran Ran, Peng Zeng:
A Novel Power System Anomaly Data Identification Method Based on Neural Network and Affine Propagation. ICAIS (2) 2019: 499-508 - [c35]Haiqin Weng, Shouling Ji, Fuzheng Duan, Zhao Li, Jianhai Chen, Qinming He, Ting Wang:
CATS: Cross-Platform E-Commerce Fraud Detection. ICDE 2019: 1874-1885 - [c34]Zhao Li, Junshuai Song, Shichang Hu, Shasha Ruan, Long Zhang, Zehong Hu, Jun Gao:
FAIR: Fraud Aware Impression Regulation System in Large-Scale Real-Time E-Commerce Search Platform. ICDE 2019: 1898-1903 - [c33]Xuanwu Liu, Zhao Li, Jun Wang, Guoxian Yu, Carlotta Domeniconi, Xiangliang Zhang:
Cross-Modal Zero-Shot Hashing. ICDM 2019: 449-458 - [c32]Xia Chen, Guoxian Yu, Jun Wang, Carlotta Domeniconi, Zhao Li, Xiangliang Zhang:
ActiveHNE: Active Heterogeneous Network Embedding. IJCAI 2019: 2123-2129 - [c31]Li Zheng, Zhenpeng Li, Jian Li, Zhao Li, Jun Gao:
AddGraph: Anomaly Detection in Dynamic Graph Using Attention-based Temporal GCN. IJCAI 2019: 4419-4425 - [c30]Jianguo Zhang, Pengcheng Zou, Zhao Li, Yao Wan, Xiuming Pan, Yu Gong, Philip S. Yu:
Multi-Modal Generative Adversarial Network for Short Product Title Generation in Mobile E-Commerce. NAACL-HLT (2) 2019: 64-72 - [c29]Jinze Bai, Chang Zhou, Junshuai Song, Xiaoru Qu, Weiting An, Zhao Li, Jun Gao:
Personalized Bundle List Recommendation. WWW 2019: 60-71 - [c28]Qingyu Guo, Zhao Li, Bo An, Pengrui Hui, Jiaming Huang, Long Zhang, Mengchen Zhao:
Securing the Deep Fraud Detector in Large-Scale E-Commerce Platform via Adversarial Machine Learning Approach. WWW 2019: 616-626 - [c27]Chenyi Lei, Shouling Ji, Zhao Li:
TiSSA: A Time Slice Self-Attention Approach for Modeling Sequential User Behaviors. WWW 2019: 2964-2970 - [i6]Jianguo Zhang, Pengcheng Zou, Zhao Li, Yao Wan, Xiuming Pan, Yu Gong, Philip S. Yu:
Multi-Modal Generative Adversarial Network for Short Product Title Generation in Mobile E-Commerce. CoRR abs/1904.01735 (2019) - [i5]Jinze Bai, Chang Zhou, Junshuai Song, Xiaoru Qu, Weiting An, Zhao Li, Jun Gao:
Personalized Bundle List Recommendation. CoRR abs/1904.01933 (2019) - [i4]Xia Chen, Guoxian Yu, Jun Wang, Carlotta Domeniconi, Zhao Li, Xiangliang Zhang:
ActiveHNE: Active Heterogeneous Network Embedding. CoRR abs/1905.05659 (2019) - [i3]Xuanwu Liu, Zhao Li, Jun Wang, Guoxian Yu, Carlotta Domeniconi, Xiangliang Zhang:
Cross-modal Zero-shot Hashing. CoRR abs/1908.07388 (2019) - 2018
- [c26]Chen Chu, Zhao Li, Beibei Xin, Fengchao Peng, Chuanren Liu, Remo Rohs, Qiong Luo, Jingren Zhou:
Deep Graph Embedding for Ranking Optimization in E-commerce. CIKM 2018: 2007-2015 - [c25]Haitao Xu, Zhao Li, Chen Chu, Yuanmi Chen, Yifan Yang, Haifeng Lu, Haining Wang, Angelos Stavrou:
Detecting and Characterizing Web Bot Traffic in a Large E-commerce Marketplace. ESORICS (2) 2018: 143-163 - [c24]Haiqin Weng, Zhao Li, Shouling Ji, Chen Chu, Haifeng Lu, Tianyu Du, Qinming He:
Online E-Commerce Fraud: A Large-Scale Detection and Analysis. ICDE 2018: 1435-1440 - [c23]Xia Chen, Guoxian Yu, Carlotta Domeniconi, Jun Wang, Zhao Li, Zili Zhang:
Cost Effective Multi-label Active Learning via Querying Subexamples. ICDM 2018: 905-910 - [c22]Zhao Li, Jiaming Huang, Donghui Ding:
Learning Network Representations with Neighboring Affinity. ICDM Workshops 2018: 1038-1045 - [c21]Guoxian Yu, Xia Chen, Carlotta Domeniconi, Jun Wang, Zhao Li, Zili Zhang, Xindong Wu:
Feature-Induced Partial Multi-label Learning. ICDM 2018: 1398-1403 - [c20]Jianguo Zhang, Ji Wang, Lifang He, Zhao Li, Philip S. Yu:
Layerwise Perturbation-Based Adversarial Training for Hard Drive Health Degree Prediction. ICDM 2018: 1428-1433 - [c19]Mengchen Zhao, Zhao Li, Bo An, Haifeng Lu, Yifan Yang, Chen Chu:
Impression Allocation for Combating Fraud in E-commerce Via Deep Reinforcement Learning with Action Norm Penalty. IJCAI 2018: 3940-3946 - [c18]Zemin Liu, Vincent W. Zheng, Zhou Zhao, Zhao Li, Hongxia Yang, Minghui Wu, Jing Ying:
Interactive Paths Embedding for Semantic Proximity Search on Heterogeneous Graphs. KDD 2018: 1860-1869 - [c17]Zehong Hu, Yitao Liang, Jie Zhang, Zhao Li, Yang Liu:
Inference Aided Reinforcement Learning for Incentive Mechanism Design in Crowdsourcing. NeurIPS 2018: 5512-5522 - [c16]Jiaming Huang, Zhao Li, Vincent W. Zheng, Wen Wen, Yifan Yang, Yuanmi Chen:
Unsupervised Multi-view Nonlinear Graph Embedding. UAI 2018: 319-328 - [c15]Ning Su, Yiqun Liu, Zhao Li, Yuli Liu, Min Zhang, Shaoping Ma:
Detecting Crowdturfing "Add to Favorites" Activities in Online Shopping. WWW 2018: 1673-1682 - [i2]Jianguo Zhang, Ji Wang, Lifang He, Zhao Li, Philip S. Yu:
Layerwise Perturbation-Based Adversarial Training for Hard Drive Health Degree Prediction. CoRR abs/1809.04188 (2018) - [i1]Jianguo Zhang, Pengcheng Zou, Zhao Li, Yao Wan, Ye Liu, Xiuming Pan, Yu Gong, Philip S. Yu:
Product Title Refinement via Multi-Modal Generative Adversarial Learning. CoRR abs/1811.04498 (2018) - 2017
- [j6]Ya Xie, Fu-Chang Chen, Zhao Li:
Design of Dual-Band Bandpass Filter With High Isolation and Wide Stopband. IEEE Access 5: 25602-25608 (2017) - [j5]Peng Wang, Peng Zhang, Chuan Zhou, Zhao Li, Hong Yang:
Hierarchical evolving Dirichlet processes for modeling nonlinear evolutionary traces in temporal data. Data Min. Knowl. Discov. 31(1): 32-64 (2017) - [c14]Jing (Selena) He, Ying Xie, Tianyu Du, Shouling Ji, Zhao Li:
Influence Spread in Social Networks with both Positive and Negative Influences. COCOON 2017: 615-629 - [c13]Fei Wang, Zhenjiang Lei, Xiaohua Yin, Zhao Li, Zhi Cao, Yale Wang:
Information Security in the Smart Grid: Survey and Challenges. GSKI (1) 2017: 55-66 - [c12]Jianyu Wang, Chunming Wu, Shouling Ji, Qinchen Gu, Zhao Li:
Fraud Detection via Coding Nominal Attributes. ICMSSP 2017: 42-45 - 2015
- [c11]Renxin Mao, Zhao Li, Jinhua Fu:
Fraud Transaction Recognition: A Money Flow Network Approach. CIKM 2015: 1871-1874 - [c10]Peng Wang, Peng Zhang, Chuan Zhou, Zhao Li, Guo Li:
Modeling Infinite Topics on Social Behavior Data with Spatio-temporal Dependence. CIKM 2015: 1919-1922 - 2014
- [c9]Hai-Guang Li, Xindong Wu, Zhao Li:
Online learning with mobile sensor data for user recognition. SAC 2014: 64-70 - [c8]Zhao Li, Xindong Wu:
Single multiplicatively updated matrix factorization for co-clustering. SAC 2014: 97-104 - 2013
- [j4]Hai-Guang Li, Xindong Wu, Zhao Li, Gong-Qing Wu:
A relation extraction method of Chinese named entities based on location and semantic features. Appl. Intell. 38(1): 1-15 (2013) - [j3]Hai-Guang Li, Zhao Li, Robert T. White, Xindong Wu:
A real-time transportation prediction system. Appl. Intell. 39(4): 793-804 (2013) - [c7]Hai-Guang Li, Xindong Wu, Zhao Li, Wei Ding:
Online Group Feature Selection from Feature Streams. AAAI 2013: 1627-1628 - [c6]Hai-Guang Li, Xindong Wu, Zhao Li, Wei Ding:
Group Feature Selection with Streaming Features. ICDM 2013: 1109-1114 - 2012
- [j2]Zhao Li, Xindong Wu:
Fast Co-Clustering by Ranking and Sampling. Int. J. Softw. Informatics 6(4): 523-534 (2012) - [c5]Hai-Guang Li, Zhao Li, Robert T. White, Xindong Wu:
A Real-Time Transportation Prediction System. IEA/AIE 2012: 68-77 - 2011
- [c4]Zhao Li, Xindong Wu:
Weighted Nonnegative Matrix Tri-Factorization for Co-clustering. ICTAI 2011: 811-816 - 2010
- [j1]Zhao Li, Xindong Wu, Hong Peng:
Nonnegative Matrix Factorization on Orthogonal Subspace. Pattern Recognit. Lett. 31(9): 905-911 (2010) - [c3]Zhao Li, Xindong Wu:
A Phrase-Based Method for Hierarchical Clustering of Web Snippets. AAAI 2010: 1947-1948 - [c2]Zhao Li, Xindong Wu, Zhenyu Lu:
Fast Orthogonal Nonnegative Matrix Tri-Factorization for Simultaneous Clustering. PAKDD (2) 2010: 214-221 - no results
2000 – 2009
- 2008
- [c1]Zhao Li, Hong Peng, Xindong Wu:
A New Descriptive Clustering Algorithm based on Nonnegative Matrix Factorization. GrC 2008: 407-412 - no results
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