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ORCIDZhao Li 0007
Person information
- affiliation: Alibaba Group, Hangzhou, China
- affiliation: Zhejiang University, Hangzhou, China
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 — Hangzhou Yugu Technology Co., Ltd., Hangzhou, China (and 2 more)
- 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
[j74]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)- 2024
- [j73]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) - [j72]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) - [j71]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) - [j70]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) - [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) - [c104]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 - [c103]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 - [c102]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 - [c101]Yudong Niu, Yuchen Li, Panagiotis Karras, Yanhao Wang, Zhao Li:
Discovering Personalized Characteristic Communities in Attributed Graphs. ICDE 2024: 2834-2847 - [c100]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 - [c99]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 - [c98]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 - [c97]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 - [i29]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) - [i28]Yang Liu, Peng Zhang, Yang Gao, Chuan Zhou, Zhao Li, Hongyang Chen:
Combinatorial Optimization with Automated Graph Neural Networks. CoRR abs/2406.02872 (2024) - [i27]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) - [i26]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) - [i25]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]Zhao Li, Lin Liu, Changrui Feng, Yuxin Qin, Jing-Fa Xiao, Zhang Zhang, Lina Ma:
LncBook 2.0: integrating human long non-coding RNAs with multi-omics annotations. Nucleic Acids Res. 51(D1): 186-191 (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]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) - [j52]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) - [j51]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) - [j50]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) - [j49]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) - [j48]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) - [j47]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) - [j46]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) - [j45]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) - [j44]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) - [j43]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) - [c96]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 - [c95]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 - [c94]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 - [c93]Yufeng Ye, Qichao He, Peng Zhang, Jie Xiao, Zhao Li:
Multivariate Time Series Anomaly Detection with Fourier Time Series Transformer. CloudNet 2023: 381-388 - [c92]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 - [c91]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 - [c90]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 - [c89]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 - [c88]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 - [c87]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 - [c86]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 - [c85]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 - [i24]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) - [i23]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) - [i22]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
- [j42]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) - [j41]Pengfei Ma, Youxi Wu, Yan Li, Lei Guo, Zhao Li:
DBC-Forest: Deep forest with binning confidence screening. Neurocomputing 475: 112-122 (2022) - [j40]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) - [j39]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) - [j38]Yongbiao Xue, Yiming Bao, Zhang Zhang, Wenming Zhao, Jing-Fa Xiao, Shunmin He, Guoqing Zhang, Yixue Li, Guoping Zhao, Runsheng Chen, Jingyao Zeng, Yadong Zhang, Yunfei Shang, Jialin Mai, Shuo Shi, Mingming Lu, Congfan Bu, Zhewen Zhang, Zhenglin Du, Yinying Wang, Hongen Kang, Tianyi Xu, Lili Hao, Peilin Jia, Shuai Jiang, Qiheng Qian, Tongtong Zhu, Wenting Zong, Tong Jin, Yuansheng Zhang, Dong Zou, Qiang Du, Changrui Feng, Lina Ma, Sisi Zhang, Anke Wang, Lili Dong, Yanqing Wang, Wan Liu, Xing Yan, Yunchao Ling, Zhihua Zhou, Wang Kang, Tao Zhang, Shuai Ma, Haoteng Yan, Zunpeng Liu, Zejun Ji, Yusheng Cai, Si Wang, Moshi Song, Jie Ren, Qi Zhou, Jing Qu, Weiqi Zhang, Guanghui Liu, Xu Chen, Tingting Chen, Yanling Sun, Caixia Yu, Bixia Tang, Junwei Zhu, Shuang Zhai, Yubin Sun, Qiancheng Chen, Xiaoyu Yang, Xin Zhang, Zhengqi Sang, Yonggang Wang, Yilin Zhao, Huanxin Chen, Li Lan, Yingke Ma, Yaokai Jia, Xinchang Zheng, Meili Chen, Ming Chen, Guangyi Niu, Rong Pan, Wei Jing, Jian Sang, Chang Liu, Yujia Xiong, Mochen Zhang, Guoliang Wang, Lizhi Yi, Wei Zhao, Song Wu, Zhuang Xiong, Rujiao Li, Zheng Gong, Lin Liu, Zhao Li, Qianpeng Li, Sicheng Luo, Jiajia Wang, Yirong Shi, Honghong Zhou, Peng Zhang, Tingrui Song, Yanyan Li, Fei Yang, Mengwei Li, Zhaohua Li, Dongmei Tian, Xiaonan Liu, Cuiping Li, Xufei Teng, Shuhui Song, Yang Zhang, Ruru Chen, Rongqin Zhang, Feng Xu, Yifan Wang, Chenfen Zhou, Haizhou Wang, Andrew E. Teschendorff, Yungang He, Zhen Yang, Lun Li, Na Li, Ying Cui, Guangya Duan, Gangao Wu, Tianhao Huang, Enhui Jin, Hailong Kang, Zhonghuang Wang, Hua Chen, Mingkun Li, Wanshan Ning, Yu Xue, Yanhu Liu, Qijun Zhou, Xingyan Liu, Longlong Zhang, Bingyu Mao, Shihua Zhang, Yaping Zhang, Guodong Wang, Qianghui Zhu, Xin Li, Menghua Li, Yuanming Liu, Hong Luo, Xiaoyuan Wu, Haichun Jing, Yitong Pan, Leisheng Shi, Zhixiang Zuo, Jian Ren, Xinxin Zhang, Yun Xiao, Xia Li, Dan Liu, Chi Zhang, Zheng Zhao, Tao Jiang, Wanying Wu, Fangqing Zhao, Xianwen Meng, Di Peng, Hao Luo, Feng Gao, Shaofeng Lin, Chuijie Liu, Anyuan Guo, Hao Yuan, Tianhan Su, Yong E. Zhang, Yincong Zhou, Guoji Guo, Shanshan Fu, Xiaodan Tan, Weizhi Zhang, Mei Luo, Yubin Xie, Chenwei Wang, Xingyu Liao, Xin Gao, Jianxin Wang, Guiyan Xie, Chunhui Yuan, Feng Tian, Dechang Yang, Ge Gao, Dachao Tang, Wenyi Wu, Yujie Gou, Cheng Han, Qinghua Cui, Xiangshang Li, Chuan-Yun Li, Xiaotong Luo:
Database Resources of the National Genomics Data Center, China National Center for Bioinformation in 2022. Nucleic Acids Res. 50(D1): 27-38 (2022) - [j37]Lin Liu, Zhao Li, Chang Liu, Dong Zou, Qianpeng Li, Changrui Feng, Wei Jing, Sicheng Luo, Zhang Zhang, Lina Ma:
LncRNAWiki 2.0: a knowledgebase of human long non-coding RNAs with enhanced curation model and database system. Nucleic Acids Res. 50(D1): 190-195 (2022) - [j36]Lin Liu, Yang Zhang, Guangyi Niu, Qianpeng Li, Zhao Li, Tongtong Zhu, Changrui Feng, Xiaonan Liu, Yuansheng Zhang, Tianyi Xu, Ruru Chen, Xufei Teng, Rongqin Zhang, Dong Zou, Lina Ma, Zhang Zhang:
BrainBase: a curated knowledgebase for brain diseases. Nucleic Acids Res. 50(D1): 1131-1138 (2022) - [j35]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) - [j34]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) - [j33]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) - [j32]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) - [j31]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) - [j30]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) - [j29]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) - [j28]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) - [j27]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) - [j26]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) - [j25]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) - [c84]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 - [c83]Qiutong Li, Yanshen He, Cong Xu, Feng Wu, Jianliang Gao, Zhao Li:
Dual-Augment Graph Neural Network for Fraud Detection. CIKM 2022: 4188-4192 - [c82]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 - [c81]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 - [c80]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 - [c79]Junwei Zhang, Zhao Li, Hao Peng, Ming Li, Xiaofen Wang:
Feedforward Neural Network Reconstructed from High-order Quantum Systems. IJCNN 2022: 1-8 - [c78]Junwei Zhang, Zhao Li, Jianmao Xiao, Ming Li:
Neural Network Model Reconstructed from Entangled Quantum States. IJCNN 2022: 1-8 - [c77]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 - [c76]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 - [i21]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) - [i20]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) - [i19]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) - [i18]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) - [i17]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) - [i16]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) - [i15]Xiaofeng Mao, Yuefeng Chen, Xiaojun Jia, Rong Zhang, Hui Xue, Zhao Li:
Context-Aware Robust Fine-Tuning. CoRR abs/2211.16175 (2022) - 2021
- [j24]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) - [j23]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) - [j22]Panpan Wang, Yuexian Hou, Zhao Li, Yazhou Zhang:
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