Zhao Li

Orcid: 0000-0002-5056-0351

Affiliations:
  • Alibaba Group, Hangzhou, China
  • Zhejiang University, Hangzhou, China


According to our database1, Zhao Li authored at least 134 papers between 2015 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Structure-Aware Prototypical Neural Process for Few-Shot Graph Classification.
IEEE Trans. Neural Networks Learn. Syst., April, 2024

Incremental Maximal Clique Enumeration for Hybrid Edge Changes in Large Dynamic Graphs.
IEEE Trans. Knowl. Data Eng., April, 2024

A graph-powered large-scale fraud detection system.
Int. J. Mach. Learn. Cybern., January, 2024

Real-time E-bike Route Planning with Battery Range Prediction.
Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

2023
Adaptive Label Propagation for Group Anomaly Detection in Large-Scale Networks.
IEEE Trans. Knowl. Data Eng., December, 2023

Ethereum fraud behavior detection based on graph neural networks.
Computing, October, 2023

HAN-CAD: hierarchical attention network for context anomaly detection in multivariate time series.
World Wide Web (WWW), September, 2023

A Thompson Sampling Algorithm With Logarithmic Regret for Unimodal Gaussian Bandit.
IEEE Trans. Neural Networks Learn. Syst., September, 2023

Noah: Reinforcement-Learning-Based Rate Limiter for Microservices in Large-Scale E-Commerce Services.
IEEE Trans. Neural Networks Learn. Syst., September, 2023

HGNAS++: Efficient Architecture Search for Heterogeneous Graph Neural Networks.
IEEE Trans. Knowl. Data Eng., September, 2023

GraphNAS++: Distributed Architecture Search for Graph Neural Networks.
IEEE Trans. Knowl. Data Eng., July, 2023

Towards Cross-Lingual Multi-Modal Misinformation Detection for E-Commerce Management.
IEEE Trans. Netw. Serv. Manag., June, 2023

A supervised and distributed framework for cold-start author disambiguation in large-scale publications.
Neural Comput. Appl., June, 2023

SAGES: Scalable Attributed Graph Embedding With Sampling for Unsupervised Learning.
IEEE Trans. Knowl. Data Eng., May, 2023

Are Graph Convolutional Networks With Random Weights Feasible?
IEEE Trans. Pattern Anal. Mach. Intell., March, 2023

Online Active Learning for Drifting Data Streams.
IEEE Trans. Neural Networks Learn. Syst., 2023

Hierarchical Multi-View Graph Pooling With Structure Learning.
IEEE Trans. Knowl. Data Eng., 2023

URS: A Light-Weight Segmentation Model for Train Wheelset Monitoring.
IEEE Trans. Intell. Transp. Syst., 2023

Sequence-Based Target Coin Prediction for Cryptocurrency Pump-and-Dump.
Proc. ACM Manag. Data, 2023

CurvDrop: A Ricci Curvature Based Approach to Prevent Graph Neural Networks from Over-Smoothing and Over-Squashing.
Proceedings of the ACM Web Conference 2023, 2023

Group-based Fraud Detection Network on e-Commerce Platforms.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Domain Adaptation for Anomaly Detection on Heterogeneous Graphs in E-Commerce.
Proceedings of the Advances in Information Retrieval, 2023

Incremental Graph Classification by Class Prototype Construction and Augmentation.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022
A Survey on Contact Tracing: The Latest Advancements and Challenges.
ACM Trans. Spatial Algorithms Syst., June, 2022

Cyclic label propagation for graph semi-supervised learning.
World Wide Web, 2022

eRiskCom: an e-commerce risky community detection platform.
VLDB J., 2022

Auto-GNAS: A Parallel Graph Neural Architecture Search Framework.
IEEE Trans. Parallel Distributed Syst., 2022

eFraudCom: An E-commerce Fraud Detection System via Competitive Graph Neural Networks.
ACM Trans. Inf. Syst., 2022

Anomaly Detection on Attributed Networks via Contrastive Self-Supervised Learning.
IEEE Trans. Neural Networks Learn. Syst., 2022

OWSP-Miner: Self-adaptive One-off Weak-gap Strong Pattern Mining.
ACM Trans. Manag. Inf. Syst., 2022

CMAL: Cost-Effective Multi-Label Active Learning by Querying Subexamples.
IEEE Trans. Knowl. Data Eng., 2022

Constrained Dual-Level Bandit for Personalized Impression Regulation in Online Ranking Systems.
ACM Trans. Knowl. Discov. Data, 2022

Graph-Based Stock Recommendation by Time-Aware Relational Attention Network.
ACM Trans. Knowl. Discov. Data, 2022

Predicting the Survival of Cancer Patients With Multimodal Graph Neural Network.
IEEE ACM Trans. Comput. Biol. Bioinform., 2022

Method and dataset entity mining in scientific literature: A CNN + BiLSTM model with self-attention.
Knowl. Based Syst., 2022

HGNN: Hierarchical graph neural network for predicting the classification of price-limit-hitting stocks.
Inf. Sci., 2022

DBC-Forest: Deep forest with binning confidence screening.
Neurocomputing, 2022

One-off Negative Sequential Pattern Mining.
CoRR, 2022

Community Trend Prediction on Heterogeneous Graph in E-commerce.
Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

Quantum Entanglement Inspired Correlation Learning for Classification.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2022

Neural Network Model Reconstructed from Entangled Quantum States.
Proceedings of the International Joint Conference on Neural Networks, 2022

Feedforward Neural Network Reconstructed from High-order Quantum Systems.
Proceedings of the International Joint Conference on Neural Networks, 2022

Multi-Task Learning with Calibrated Mixture of Insightful Experts.
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

Time Series Anomaly Detection for Smart Grids via Multiple Self-Supervised Tasks Learning.
Proceedings of the IEEE International Conference on Knowledge Graph, 2022

Dual-Augment Graph Neural Network for Fraud Detection.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021
TARA-Net: A Fusion Network for Detecting Takeaway Rider Accidents.
ACM Trans. Intell. Syst. Technol., 2021

ICS-GNN: Lightweight Interactive Community Search via Graph Neural Network.
Proc. VLDB Endow., 2021

TigeCMN: On exploration of temporal interaction graph embedding via Coupled Memory Neural Networks.
Neural Networks, 2021

HANP-Miner: High average utility nonoverlapping sequential pattern mining.
Knowl. Based Syst., 2021

Towards embedding information diffusion data for understanding big dynamic networks.
Neurocomputing, 2021

QIRM: A quantum interactive retrieval model for session search.
Neurocomputing, 2021

A subgraph-based knowledge reasoning method for collective fraud detection in E-commerce.
Neurocomputing, 2021

Large-scale online multi-view graph neural network and applications.
Future Gener. Comput. Syst., 2021

PBCNN: Packet Bytes-based Convolutional Neural Network for Network Intrusion Detection.
Comput. Networks, 2021

What Happens Behind the Scene? Towards Fraud Community Detection in E-Commerce from Online to Offline.
Proceedings of the Companion of The Web Conference 2021, 2021

ATJ-Net: Auto-Table-Join Network for Automatic Learning on Relational Databases.
Proceedings of the WWW '21: The Web Conference 2021, 2021

Predicting Price-Limit-Hitting Stocks with Hierarchical Graph Neural Network.
Proceedings of the WI-IAT '21: IEEE/WIC/ACM International Conference on Web Intelligence, Hybrid Event / Melbourne, VIC, Australia, December 14 - 17, 2021, 2021

GPU-Accelerated Graph Label Propagation for Real-Time Fraud Detection.
Proceedings of the SIGMOD '21: International Conference on Management of Data, 2021

GraphPAS: Parallel Architecture Search for Graph Neural Networks.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

H2MN: Graph Similarity Learning with Hierarchical Hypergraph Matching Networks.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Live-Streaming Fraud Detection: A Heterogeneous Graph Neural Network Approach.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Author Name Disambiguation Using Multiple Graph Attention Networks.
Proceedings of the International Joint Conference on Neural Networks, 2021

Interactive Quantum Classifier Inspired by Quantum Open System Theory.
Proceedings of the International Joint Conference on Neural Networks, 2021

Quantum Correlation Revealed by Bell State for Classification Tasks.
Proceedings of the International Joint Conference on Neural Networks, 2021

MDNN: A Multimodal Deep Neural Network for Predicting Drug-Drug Interaction Events.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

AdaBoosting Clusters on Graph Neural Networks.
Proceedings of the IEEE International Conference on Data Mining, 2021

Disentangled Deep Multivariate Hawkes Process for Learning Event Sequences.
Proceedings of the IEEE International Conference on Data Mining, 2021

Heterogeneous Graph Neural Architecture Search.
Proceedings of the IEEE International Conference on Data Mining, 2021

ATNN: Adversarial Two-Tower Neural Network for New Item's Popularity Prediction in E-commerce.
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

Large-scale Fake Click Detection for E-commerce Recommendation Systems.
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

Towards Efficient Motif-based Graph Partitioning: An Adaptive Sampling Approach.
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

Turbo: Fraud Detection in Deposit-free Leasing Service via Real-Time Behavior Network Mining.
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

Graph Neural Network for Ethereum Fraud Detection.
Proceedings of the 2021 IEEE International Conference on Big Knowledge, 2021

HSNP-Miner: High Utility Self-Adaptive Nonoverlapping Pattern Mining.
Proceedings of the 2021 IEEE International Conference on Big Knowledge, 2021

TAGCN: Typed Attention Graph Convolutional Networks for Entity Alignment in Cross-lingual Knowledge Graphs.
Proceedings of the 2021 IEEE 23rd Int Conf on High Performance Computing & Communications; 7th Int Conf on Data Science & Systems; 19th Int Conf on Smart City; 7th Int Conf on Dependability in Sensor, 2021

Improving Irregularly Sampled Time Series Learning with Time-Aware Dual-Attention Memory-Augmented Networks.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Fulfillment-Time-Aware Personalized Ranking for On-Demand Food Recommendation.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

From Community Search to Community Understanding: A Multimodal Community Query Engine.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020
A Packet Scheduling Method Based on Dynamic Adjustment of Service Priority for Electric Power Wireless Communication Network.
Wirel. Commun. Mob. Comput., 2020

Distant Supervision for E-commerce Query Segmentation via Attention Network.
CoRR, 2020

A Survey on Contact Tracing: the Latest Advancements and Challenges.
CoRR, 2020

Method and Dataset Entity Mining in Scientific Literature: A CNN + Bi-LSTM Model with Self-attention.
CoRR, 2020

Attention with Long-Term Interval-Based Deep Sequential Learning for Recommendation.
Complex., 2020

Deep Interest-Shifting Network with Meta-Embeddings for Fresh Item Recommendation.
Complex., 2020

Co-Displayed Items Aware List Recommendation.
IEEE Access, 2020

Learning Temporal Interaction Graph Embedding via Coupled Memory Networks.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

MGNN: A Multimodal Graph Neural Network for Predicting the Survival of Cancer Patients.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Online Partial Label Learning.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020

Collaboration Based Multi-Label Propagation for Fraud Detection.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

PoisonRec: An Adaptive Data Poisoning Framework for Attacking Black-box Recommender Systems.
Proceedings of the 36th IEEE International Conference on Data Engineering, 2020

Hierarchical Bipartite Graph Neural Networks: Towards Large-Scale E-commerce Applications.
Proceedings of the 36th IEEE International Conference on Data Engineering, 2020

De-Health: All Your Online Health Information Are Belong to Us.
Proceedings of the 36th IEEE International Conference on Data Engineering, 2020

Strong Statistical Correlation Revealed by Quantum Entanglement for Supervised Learning.
Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020

Link Inference via Heterogeneous Multi-view Graph Neural Networks.
Proceedings of the Database Systems for Advanced Applications, 2020

Dynamical User Intention Prediction via Multi-modal Learning.
Proceedings of the Database Systems for Advanced Applications, 2020

Attention with Long-Term Interval-Based Gated Recurrent Units for Modeling Sequential User Behaviors.
Proceedings of the Database Systems for Advanced Applications, 2020

Recommendation on Heterogeneous Information Network with Type-Sensitive Sampling.
Proceedings of the Database Systems for Advanced Applications, 2020

Time-aware Graph Relational Attention Network for Stock Recommendation.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Multi-Channel Sellers Traffic Allocation in Large-scale E-commerce Promotion.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Category-aware Graph Neural Networks for Improving E-commerce Review Helpfulness Prediction.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Multi-task Based Few-Shot Learning for Disease Similarity Measurement.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

2019
SHOAL: Large-scale Hierarchical Taxonomy via Graph-based Query Coalition in E-commerce.
Proc. VLDB Endow., 2019

Spreading social influence with both positive and negative opinions in online networks.
Big Data Min. Anal., 2019

MV-GCN: Multi-View Graph Convolutional Networks for Link Prediction.
IEEE Access, 2019

Modeling Data, Information and Knowledge for Security Protection of Hybrid IoT and Edge Resources.
IEEE Access, 2019

TiSSA: A Time Slice Self-Attention Approach for Modeling Sequential User Behaviors.
Proceedings of the World Wide Web Conference, 2019

Securing the Deep Fraud Detector in Large-Scale E-Commerce Platform via Adversarial Machine Learning Approach.
Proceedings of the World Wide Web Conference, 2019

Personalized Bundle List Recommendation.
Proceedings of the World Wide Web Conference, 2019

Multi-Modal Generative Adversarial Network for Short Product Title Generation in Mobile E-Commerce.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

AddGraph: Anomaly Detection in Dynamic Graph Using Attention-based Temporal GCN.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

ActiveHNE: Active Heterogeneous Network Embedding.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Cross-Modal Zero-Shot Hashing.
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

CATS: Cross-Platform E-Commerce Fraud Detection.
Proceedings of the 35th IEEE International Conference on Data Engineering, 2019

FAIR: Fraud Aware Impression Regulation System in Large-Scale Real-Time E-Commerce Search Platform.
Proceedings of the 35th IEEE International Conference on Data Engineering, 2019

A Novel Power System Anomaly Data Identification Method Based on Neural Network and Affine Propagation.
Proceedings of the Artificial Intelligence and Security - 5th International Conference, 2019

Density Matrix Based Preference Evolution Networks for E-Commerce Recommendation.
Proceedings of the Database Systems for Advanced Applications, 2019

Multi-task based Sales Predictions for Online Promotions.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

QPIN: A Quantum-inspired Preference Interactive Network for E-commerce Recommendation.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

2018
Product Title Refinement via Multi-Modal Generative Adversarial Learning.
CoRR, 2018

Detecting Crowdturfing "Add to Favorites" Activities in Online Shopping.
Proceedings of the 2018 World Wide Web Conference on World Wide Web, 2018

Unsupervised Multi-view Nonlinear Graph Embedding.
Proceedings of the Thirty-Fourth Conference on Uncertainty in Artificial Intelligence, 2018

Interactive Paths Embedding for Semantic Proximity Search on Heterogeneous Graphs.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Impression Allocation for Combating Fraud in E-commerce Via Deep Reinforcement Learning with Action Norm Penalty.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Layerwise Perturbation-Based Adversarial Training for Hard Drive Health Degree Prediction.
Proceedings of the IEEE International Conference on Data Mining, 2018

Feature-Induced Partial Multi-label Learning.
Proceedings of the IEEE International Conference on Data Mining, 2018

Learning Network Representations with Neighboring Affinity.
Proceedings of the 2018 IEEE International Conference on Data Mining Workshops, 2018

Cost Effective Multi-label Active Learning via Querying Subexamples.
Proceedings of the IEEE International Conference on Data Mining, 2018

Detecting and Characterizing Web Bot Traffic in a Large E-commerce Marketplace.
Proceedings of the Computer Security, 2018

Deep Graph Embedding for Ranking Optimization in E-commerce.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

2017
Hierarchical evolving Dirichlet processes for modeling nonlinear evolutionary traces in temporal data.
Data Min. Knowl. Discov., 2017

Information Security in the Smart Grid: Survey and Challenges.
Proceedings of the Geo-Spatial Knowledge and Intelligence - 5th International Conference, 2017

Influence Spread in Social Networks with both Positive and Negative Influences.
Proceedings of the Computing and Combinatorics - 23rd International Conference, 2017

2015
Modeling Infinite Topics on Social Behavior Data with Spatio-temporal Dependence.
Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015

Fraud Transaction Recognition: A Money Flow Network Approach.
Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015


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