A New Descriptive Clustering Algorithm based on Nonnegative Matrix Factorization. - Zhao Li 007; Hong Peng; Xindong Wu 001 (GrC, 2008)

A Phrase-Based Method for Hierarchical Clustering of Web Snippets. - Zhao Li 007; Xindong Wu 001 (AAAI, 2010)

Fast Orthogonal Nonnegative Matrix Tri-Factorization for Simultaneous Clustering. - Zhao Li 007; Xindong Wu 001; Zhenyu Lu (PAKDD (2), 2010)

Nonnegative Matrix Factorization on Orthogonal Subspace. - Zhao Li 007; Xindong Wu 001; Hong Peng (Pattern Recognit. Lett., 2010)

Weighted Nonnegative Matrix Tri-Factorization for Co-clustering. - Zhao Li 007; Xindong Wu 001 (ICTAI, 2011)

Fast Co-Clustering by Ranking and Sampling. - Zhao Li 007; Xindong Wu 001 (Int. J. Softw. Informatics, 2012)

Online Group Feature Selection from Feature Streams. - Hai-Guang Li; Xindong Wu 001; Zhao Li 007; Wei Ding 003 (AAAI, 2013)

Group Feature Selection with Streaming Features. - Hai-Guang Li; Xindong Wu 001; Zhao Li 007; Wei Ding 003 (ICDM, 2013)

A real-time transportation prediction system. - Hai-Guang Li; Zhao Li 007; Robert T. White; Xindong Wu 001 (Appl. Intell., 2013)

A relation extraction method of Chinese named entities based on location and semantic features. - Hai-Guang Li; Xindong Wu 001; Zhao Li 007; Gong-Qing Wu (Appl. Intell., 2013)

Single multiplicatively updated matrix factorization for co-clustering. - Zhao Li 007; Xindong Wu 001 (SAC, 2014)

Online learning with mobile sensor data for user recognition. - Hai-Guang Li; Xindong Wu 001; Zhao Li 007 (SAC, 2014)

Fraud Transaction Recognition: A Money Flow Network Approach. - Renxin Mao; Zhao Li 007; Jinhua Fu (CIKM, 2015)

Modeling Infinite Topics on Social Behavior Data with Spatio-temporal Dependence. - Peng Wang 028; Peng Zhang 001; Chuan Zhou 001; Zhao Li 007; Guo Li (CIKM, 2015)

Influence Spread in Social Networks with both Positive and Negative Influences. - Jing (Selena) He; Ying Xie 001; Tianyu Du; Shouling Ji; Zhao Li 007 (COCOON, 2017)

Information Security in the Smart Grid: Survey and Challenges. - Fei Wang; Zhenjiang Lei; Xiaohua Yin; Zhao Li 007; Zhi Cao; Yale Wang (GSKI (1), 2017)

Fraud Detection via Coding Nominal Attributes. - Jianyu Wang; Chunming Wu 001; Shouling Ji; Qinchen Gu; Zhao Li 007 (ICMSSP, 2017)

Design of Dual-Band Bandpass Filter With High Isolation and Wide Stopband. - Ya Xie; Fu-Chang Chen; Zhao Li 007 (IEEE Access, 2017)

Hierarchical evolving Dirichlet processes for modeling nonlinear evolutionary traces in temporal data. - Peng Wang 028; Peng Zhang 001; Chuan Zhou 001; Zhao Li 007; Hong Yang 003 (Data Min. Knowl. Discov., 2017)

Deep Graph Embedding for Ranking Optimization in E-commerce. - Chen Chu; Zhao Li 007; Beibei Xin; Fengchao Peng; Chuanren Liu; Remo Rohs; Qiong Luo 001; Jingren Zhou 001 (CIKM, 2018)

Detecting and Characterizing Web Bot Traffic in a Large E-commerce Marketplace. - Haitao Xu 002; Zhao Li 007; Chen Chu; Yuanmi Chen; Yifan Yang 001; Haifeng Lu; Haining Wang 001; Angelos Stavrou (ESORICS (2), 2018)

Online E-Commerce Fraud: A Large-Scale Detection and Analysis. - Haiqin Weng; Zhao Li 007; Shouling Ji; Chen Chu; Haifeng Lu; Tianyu Du; Qinming He (ICDE, 2018)

Cost Effective Multi-label Active Learning via Querying Subexamples. - Xia Chen 004; Guoxian Yu; Carlotta Domeniconi; Jun Wang 035; Zhao Li 007; Zili Zhang 001 (ICDM, 2018)

Learning Network Representations with Neighboring Affinity. - Zhao Li 007; Jiaming Huang; Donghui Ding (ICDM Workshops, 2018)

Feature-Induced Partial Multi-label Learning. - Guoxian Yu; Xia Chen 004; Carlotta Domeniconi; Jun Wang 035; Zhao Li 007; Zili Zhang 001; Xindong Wu 001 (ICDM, 2018)

Layerwise Perturbation-Based Adversarial Training for Hard Drive Health Degree Prediction. - Jianguo Zhang 005; Ji Wang 002; Lifang He 001; Zhao Li 007; Philip S. Yu (ICDM, 2018)

Impression Allocation for Combating Fraud in E-commerce Via Deep Reinforcement Learning with Action Norm Penalty. - Mengchen Zhao; Zhao Li 007; Bo An 001; Haifeng Lu; Yifan Yang 001; Chen Chu (IJCAI, 2018)

Interactive Paths Embedding for Semantic Proximity Search on Heterogeneous Graphs. - Zemin Liu; Vincent W. Zheng; Zhou Zhao 001; Zhao Li 007; Hongxia Yang; Minghui Wu 001; Jing Ying (KDD, 2018)

Inference Aided Reinforcement Learning for Incentive Mechanism Design in Crowdsourcing. - Zehong Hu; Yitao Liang; Jie Zhang 002; Zhao Li 007; Yang Liu 018 (NeurIPS, 2018)

Unsupervised Multi-view Nonlinear Graph Embedding. - Jiaming Huang; Zhao Li 007; Vincent W. Zheng; Wen Wen; Yifan Yang 001; Yuanmi Chen (UAI, 2018)

Detecting Crowdturfing "Add to Favorites" Activities in Online Shopping. - Ning Su; Yiqun Liu 001; Zhao Li 007; Yuli Liu; Min Zhang 006; Shaoping Ma (WWW, 2018)

Product Title Refinement via Multi-Modal Generative Adversarial Learning. - Jianguo Zhang 005; Pengcheng Zou; Zhao Li 007; Yao Wan 001; Ye Liu 006; Xiuming Pan; Yu Gong; Philip S. Yu (CoRR, 2018)

General Robustness Evaluation of Incentive Mechanism against Bounded Rationality Using Continuum-Armed Bandits. - Zehong Hu; Jie Zhang 002; Zhao Li 007 (AAAI, 2019)

Fraud Regulating Policy for E-Commerce via Constrained Contextual Bandits. - Zehong Hu; Zhen Wang 037; Zhao Li 007; Shichang Hu; Shasha Ruan; Jie Zhang 002 (AAMAS, 2019)

QPIN: A Quantum-inspired Preference Interactive Network for E-commerce Recommendation. - Panpan Wang; Zhao Li 007; Yazhou Zhang; Yuexian Hou; Liangzhu Ge (CIKM, 2019)

Multi-task based Sales Predictions for Online Promotions. - Shen Xin; Martin Ester; Jiajun Bu; Chengwei Yao; Zhao Li 007; Xun Zhou; Yizhou Ye; Can Wang 001 (CIKM, 2019)

Density Matrix Based Preference Evolution Networks for E-Commerce Recommendation. - Panpan Wang; Zhao Li 007; Xuming Pan; Donghui Ding; Xia Chen 004; Yuexian Hou (DASFAA (2), 2019)

Transformer Fault Diagnosis Model Based on Iterative Nearest Neighbor Interpolation and Ensemble Learning. - Yunfei Liu; Jing Li 077; Zhao Li 007; Lin Qiao; Shuo Chen; Xuming Lv (DSIT, 2019)

A Novel Power System Anomaly Data Identification Method Based on Neural Network and Affine Propagation. - Li Shen; Yang Shen; Chunhe Song; Zhao Li 007; Ran Ran; Peng Zeng 001 (ICAIS (2), 2019)

FAIR: Fraud Aware Impression Regulation System in Large-Scale Real-Time E-Commerce Search Platform. - Zhao Li 007; Junshuai Song; Shichang Hu; Shasha Ruan; Long Zhang; Zehong Hu; Jun Gao 003 (ICDE, 2019)

CATS: Cross-Platform E-Commerce Fraud Detection. - Haiqin Weng; Shouling Ji; Fuzheng Duan; Zhao Li 007; Jianhai Chen; Qinming He; Ting Wang 006 (ICDE, 2019)

Cross-Modal Zero-Shot Hashing. - Xuanwu Liu; Zhao Li 007; Jun Wang 035; Guoxian Yu; Carlotta Domeniconi; Xiangliang Zhang 001 (ICDM, 2019)

ActiveHNE: Active Heterogeneous Network Embedding. - Xia Chen 004; Guoxian Yu; Jun Wang 035; Carlotta Domeniconi; Zhao Li 007; Xiangliang Zhang 001 (IJCAI, 2019)

AddGraph: Anomaly Detection in Dynamic Graph Using Attention-based Temporal GCN. - Li Zheng; Zhenpeng Li; Jian Li; Zhao Li 007; Jun Gao 003 (IJCAI, 2019)

Multi-Modal Generative Adversarial Network for Short Product Title Generation in Mobile E-Commerce. - Jianguo Zhang 005; Pengcheng Zou; Zhao Li 007; Yao Wan 001; Xiuming Pan; Yu Gong; Philip S. Yu (NAACL-HLT (2), 2019)

Personalized Bundle List Recommendation. - Jinze Bai; Chang Zhou; Junshuai Song; Xiaoru Qu; Weiting An; Zhao Li 007; Jun Gao 003 (WWW, 2019)

Securing the Deep Fraud Detector in Large-Scale E-Commerce Platform via Adversarial Machine Learning Approach. - Qingyu Guo; Zhao Li 007; Bo An 001; Pengrui Hui; Jiaming Huang; Long Zhang; Mengchen Zhao (WWW, 2019)

TiSSA: A Time Slice Self-Attention Approach for Modeling Sequential User Behaviors. - Chenyi Lei; Shouling Ji; Zhao Li 007 (WWW, 2019)

Modeling Data, Information and Knowledge for Security Protection of Hybrid IoT and Edge Resources. - Yucong Duan; Xiaobing Sun 001; Haoyang Che; Chunjie Cao; Zhao Li 007; Xiaoxian Yang (IEEE Access, 2019)

MV-GCN: Multi-View Graph Convolutional Networks for Link Prediction. - Zhao Li 007; Zhanlin Liu; Jiaming Huang; Geyu Tang; Yucong Duan; Zhiqiang Zhang 010; Yifan Yang 001 (IEEE Access, 2019)

Spreading social influence with both positive and negative opinions in online networks. - Jing (Selena) He; Meng Han; Shouling Ji; Tianyu Du; Zhao Li 007 (Big Data Min. Anal., 2019)

SHOAL: Large-scale Hierarchical Taxonomy via Graph-based Query Coalition in E-commerce. - Zhao Li 007; Xia Chen 004; Xuming Pan; Pengcheng Zou; Yuchen Li 001; Guoxian Yu (Proc. VLDB Endow., 2019)

Multi-task Based Few-Shot Learning for Disease Similarity Measurement. - Jianliang Gao; Ling Tian; Yuxin Liu 001; Jianxin Wang 001; Zhao Li 007; Xiaohua Hu 001 (BIBM, 2020)

Category-aware Graph Neural Networks for Improving E-commerce Review Helpfulness Prediction. - Xiaoru Qu; Zhao Li 007; Jialin Wang; Zhipeng Zhang; Pengcheng Zou; Junxiao Jiang; Jiaming Huang; Rong Xiao 005; Ji Zhang 001; Jun Gao 003 (CIKM, 2020)

Multi-Channel Sellers Traffic Allocation in Large-scale E-commerce Promotion. - Shen Xin; Yizhou Ye; Martin Ester; Cheng Long 001; Jie Zhang 002; Zhao Li 007; Kaiying Yuan; Yanghua Li (CIKM, 2020)

Time-aware Graph Relational Attention Network for Stock Recommendation. - Xiaoting Ying; Cong Xu; Jianliang Gao; Jianxin Wang 001; Zhao Li 007 (CIKM, 2020)

Recommendation on Heterogeneous Information Network with Type-Sensitive Sampling. - Jinze Bai; Jialin Wang; Zhao Li 007; Donghui Ding; Jiaming Huang; Pengrui Hui; Jun Gao 003; Ji Zhang 001; Zujie Ren (DASFAA (3), 2020)

Attention with Long-Term Interval-Based Gated Recurrent Units for Modeling Sequential User Behaviors. - Zhao Li 007; Chenyi Lei; Pengcheng Zou; Donghui Ding; Shichang Hu; Zehong Hu; Shouling Ji; Jianliang Gao (DASFAA (1), 2020)

Dynamical User Intention Prediction via Multi-modal Learning. - Xuanwu Liu; Zhao Li 007; Yuanhui Mao; Lixiang Lai; Ben Gao; Yao Deng; Guoxian Yu (DASFAA (1), 2020)

Link Inference via Heterogeneous Multi-view Graph Neural Networks. - Yuying Xing; Zhao Li 007; Pengrui Hui; Jiaming Huang; Xia Chen 004; Long Zhang; Guoxian Yu (DASFAA (1), 2020)

Strong Statistical Correlation Revealed by Quantum Entanglement for Supervised Learning. - Junwei Zhang 009; Yuexian Hou; Zhao Li 007; Long Zhang; Xia Chen 004 (ECAI, 2020)

De-Health: All Your Online Health Information Are Belong to Us. - Shouling Ji; Qinchen Gu; Haiqin Weng; Qianjun Liu; Pan Zhou 001; Jing Chen 003; Zhao Li 007; Raheem Beyah; Ting Wang 006 (ICDE, 2020)

Hierarchical Bipartite Graph Neural Networks: Towards Large-Scale E-commerce Applications. - Zhao Li 007; Xin Shen; Yuhang Jiao 001; Xuming Pan; Pengcheng Zou; Xianling Meng; Chengwei Yao; Jiajun Bu (ICDE, 2020)

PoisonRec: An Adaptive Data Poisoning Framework for Attacking Black-box Recommender Systems. - Junshuai Song; Zhao Li 007; Zehong Hu; Yucheng Wu; Zhenpeng Li; Jian Li; Jun Gao 003 (ICDE, 2020)

Collaboration Based Multi-Label Propagation for Fraud Detection. - Haobo Wang 001; Zhao Li 007; Jiaming Huang; Pengrui Hui; Weiwei Liu 003; Tianlei Hu; Gang Chen 001 (IJCAI, 2020)

Online Partial Label Learning. - Haobo Wang 001; Yuzhou Qiang; Chen Chen 043; Weiwei Liu 003; Tianlei Hu; Zhao Li 007; Gang Chen 001 (ECML/PKDD (2), 2020)

MGNN: A Multimodal Graph Neural Network for Predicting the Survival of Cancer Patients. - Jianliang Gao; Tengfei Lyu; Fan Xiong; Jianxin Wang 001; Weimao Ke; Zhao Li 007 (SIGIR, 2020)

Graph Computing System and Application Based on Large-Scale Information Network. - Jingbo Xu 001; Zhao Li 007; Weibin Zeng; Jiaming Huang (SINC, 2020)

Learning Temporal Interaction Graph Embedding via Coupled Memory Networks. - Zhen Zhang 023; Jiajun Bu; Martin Ester; Jianfeng Zhang; Chengwei Yao; Zhao Li 007; Can Wang 001 (WWW, 2020)

Co-Displayed Items Aware List Recommendation. - Junshuai Song; Zhao Li 007; Chang Zhou; Jinze Bai; Zhenpeng Li; Jian Li; Jun Gao 003 (IEEE Access, 2020)

Deep Interest-Shifting Network with Meta-Embeddings for Fresh Item Recommendation. - Zhao Li 007; Haobo Wang 001; Donghui Ding; Shichang Hu; Zhen Zhang 023; Weiwei Liu 003; Jianliang Gao; Zhiqiang Zhang 010; Ji Zhang 001 (Complex., 2020)

Attention with Long-Term Interval-Based Deep Sequential Learning for Recommendation. - Zhao Li 007; Long Zhang; Chenyi Lei; Xia Chen 004; Jianliang Gao; Jun Gao 003 (Complex., 2020)

Method and Dataset Entity Mining in Scientific Literature: A CNN + Bi-LSTM Model with Self-attention. - Linlin Hou; Ji Zhang 001; Ou Wu; Ting Yu 004; Zhen Wang 037; Zhao Li 007; Jianliang Gao; Yingchun Ye; Rujing Yao (CoRR, 2020)

A Survey on Contact Tracing: the Latest Advancements and Challenges. - Ting Jiang; Yizheng Chen 003; Yang Zhang 042; Minhao Zhang; Chenhao Lu; Ji Zhang 001; Zhao Li 007; Jun Gao 003; Shuigeng Zhou (CoRR, 2020)

Distant Supervision for E-commerce Query Segmentation via Attention Network. - Zhao Li 007; Donghui Ding; Pengcheng Zou; Yu Gong; Xi Chen; Ji Zhang 001; Jianliang Gao; Youxi Wu; Yucong Duan (CoRR, 2020)

A Packet Scheduling Method Based on Dynamic Adjustment of Service Priority for Electric Power Wireless Communication Network. - Bo Hu; Xin Liu 067; Jinghong Zhao; Siya Xu; Zhenjiang Lei; Kun Xiao; Dong Liu; Zhao Li 007 (Wirel. Commun. Mob. Comput., 2020)

From Community Search to Community Understanding: A Multimodal Community Query Engine. - Zhao Li 007; Pengcheng Zou; Xia Chen 004; Shichang Hu; Peng Zhang 001; Yumou Zhang; Bingsheng He; Yuchen Li 001; Xing Tang (CIKM, 2021)

Fulfillment-Time-Aware Personalized Ranking for On-Demand Food Recommendation. - Haishuai Wang; Zhao Li 007; Xuanwu Liu; Donghui Ding; Zehong Hu; Peng Zhang 001; Chuan Zhou 001; Jiajun Bu (CIKM, 2021)

Improving Irregularly Sampled Time Series Learning with Time-Aware Dual-Attention Memory-Augmented Networks. - Zhen Wang 037; Yang Zhang 042; Ai Jiang; Ji Zhang 001; Zhao Li 007; Jun Gao 003; Ke Li 044; Chenhao Lu; Zujie Ren (CIKM, 2021)

TAGCN: Typed Attention Graph Convolutional Networks for Entity Alignment in Cross-lingual Knowledge Graphs. - Jianliang Gao; Zhao Li 007; Fan Xiong; Xiangyue Liu; Jie Xiao 005; Biao Wang; Ji Zhang 001 (HPCC/DSS/SmartCity/DependSys, 2021)

HSNP-Miner: High Utility Self-Adaptive Nonoverlapping Pattern Mining. - Md. Motaher Hossain; Youxi Wu; Philippe Fournier-Viger; Zhao Li 007; Lei Guo 015; Yan Li 087 (ICBK, 2021)

Graph Neural Network for Ethereum Fraud Detection. - Runnan Tan; Qingfeng Tan; Peng Zhang 001; Zhao Li 007 (ICBK, 2021)

Turbo: Fraud Detection in Deposit-free Leasing Service via Real-Time Behavior Network Mining. - Sihao Hu; Xuhong Zhang 002; Junfeng Zhou; Shouling Ji; Jiaqi Yuan; Zhao Li 007; Zhipeng Wang; Qi Chen; Qinming He; Liming Fang 001 (ICDE, 2021)

Towards Efficient Motif-based Graph Partitioning: An Adaptive Sampling Approach. - Shixun Huang; Yuchen Li 001; Zhifeng Bao; Zhao Li 007 (ICDE, 2021)

Large-scale Fake Click Detection for E-commerce Recommendation Systems. - Jingdong Li; Zhao Li 007; Jiaming Huang; Ji Zhang 001; Xiaoling Wang; Xingjian Lu; Jingren Zhou 001 (ICDE, 2021)

ATNN: Adversarial Two-Tower Neural Network for New Item's Popularity Prediction in E-commerce. - Shen Xin; Zhao Li 007; Pengcheng Zou; Cheng Long 001; Jie Zhang 002; Jiajun Bu; Jingren Zhou 001 (ICDE, 2021)

Heterogeneous Graph Neural Architecture Search. - Yang Gao 024; Peng Zhang 001; Zhao Li 007; Chuan Zhou 001; Yongchao Liu; Yue Hu 002 (ICDM, 2021)

Disentangled Deep Multivariate Hawkes Process for Learning Event Sequences. - Xixun Lin; Jiangxia Cao; Peng Zhang 001; Chuan Zhou 001; Zhao Li 007; Jia Wu 001; Bin Wang 004 (ICDM, 2021)

AdaBoosting Clusters on Graph Neural Networks. - Li Zheng; Jun Gao 003; Zhao Li 007; Ji Zhang 001 (ICDM, 2021)

MDNN: A Multimodal Deep Neural Network for Predicting Drug-Drug Interaction Events. - Tengfei Lyu; Jianliang Gao; Ling Tian; Zhao Li 007; Peng Zhang 001; Ji Zhang 001 (IJCAI, 2021)

Quantum Correlation Revealed by Bell State for Classification Tasks. - Junwei Zhang 009; Ruifang He; Zhao Li 007; Ji Zhang 001; Biao Wang; Zhaolin Li; Tianyuan Niu (IJCNN, 2021)

Interactive Quantum Classifier Inspired by Quantum Open System Theory. - Junwei Zhang 009; Zhao Li 007; Ruifang He; Ji Zhang 001; Biao Wang; Zhaolin Li; Tianyuan Niu (IJCNN, 2021)

Author Name Disambiguation Using Multiple Graph Attention Networks. - Zhiqiang Zhang 010; Chunqi Wu; Zhao Li 007; Juanjuan Peng; Haiyan Wu; Haiyu Song; Shengchun Deng; Biao Wang (IJCNN, 2021)

Live-Streaming Fraud Detection: A Heterogeneous Graph Neural Network Approach. - Haishuai Wang; Zhao Li 007; Peng Zhang 001; Jiaming Huang; Pengrui Hui; Jian Liao; Ji Zhang 001; Jiajun Bu (KDD, 2021)

H2MN: Graph Similarity Learning with Hierarchical Hypergraph Matching Networks. - Zhen Zhang 023; Jiajun Bu; Martin Ester; Zhao Li 007; Chengwei Yao; Zhi Yu; Can Wang 001 (KDD, 2021)

GraphPAS: Parallel Architecture Search for Graph Neural Networks. - Jiamin Chen; Jianliang Gao; Yibo Chen; Babatounde Moctard Oloulade; Tengfei Lyu; Zhao Li 007 (SIGIR, 2021)

GPU-Accelerated Graph Label Propagation for Real-Time Fraud Detection. - Chang Ye; Yuchen Li 001; Bingsheng He; Zhao Li 007; Jianling Sun (SIGMOD Conference, 2021)

Predicting Price-Limit-Hitting Stocks with Hierarchical Graph Neural Network. - Jianliang Gao; Cong Xu; Huiling Huang; Xiaoting Ying; Zhao Li 007; Peng Zhang 001; Jie Xiao 005; Jiarun Zhang; Jiangjian Luo (WI/IAT (Workshop/Special Session), 2021)

TTNet: Tabular Transfer Network for Few-samples Prediction. - Zhao Li 007; Donghui Ding; Xuanwu Liu; Peng Zhang 001; Youxi Wu; Lingzhou Ma (WI/IAT, 2021)

ATJ-Net: Auto-Table-Join Network for Automatic Learning on Relational Databases. - Jinze Bai; Jialin Wang; Zhao Li 007; Donghui Ding; Ji Zhang 001; Jun Gao 003 (WWW, 2021)

What Happens Behind the Scene? Towards Fraud Community Detection in E-Commerce from Online to Offline. - Zhao Li 007; Pengrui Hui; Peng Zhang 001; Jiaming Huang; Biao Wang; Ling Tian; Ji Zhang 001; Jianliang Gao; Xing Tang (WWW (Companion Volume), 2021)

PBCNN: Packet Bytes-based Convolutional Neural Network for Network Intrusion Detection. - Lian Yu; Jingtao Dong; Lihao Chen; Mengyuan Li; Bingfeng Xu; Zhao Li 007; Lin Qiao; Lijun Liu; Bei Zhao; Chen Zhang (Comput. Networks, 2021)

Towards Graph Self-Supervised Learning with Contrastive Adjusted Zooming. - Yizhen Zheng; Ming Jin 005; Shirui Pan; Yuan-Fang Li; Hao Peng 001; Ming Li 065; Zhao Li 007 (CoRR, 2021)

Large-scale online multi-view graph neural network and applications. - Zhao Li 007; Yuying Xing; Jiaming Huang; Haobo Wang 001; Jianliang Gao; Guoxian Yu (Future Gener. Comput. Syst., 2021)

A subgraph-based knowledge reasoning method for collective fraud detection in E-commerce. - Junshuai Song; Xiaoru Qu; Zehong Hu; Zhao Li 007; Jun Gao 003; Ji Zhang 001 (Neurocomputing, 2021)

QIRM: A quantum interactive retrieval model for session search. - Panpan Wang; Yuexian Hou; Zhao Li 007; Yazhou Zhang (Neurocomputing, 2021)

Towards embedding information diffusion data for understanding big dynamic networks. - Hong Yang 003; Peng Zhang 001; Haishuai Wang; Chuan Zhou 001; Zhao Li 007; Li Gao; Qingfeng Tan (Neurocomputing, 2021)

HANP-Miner: High average utility nonoverlapping sequential pattern mining. - Youxi Wu; Meng Geng; Yan Li 087; Lei Guo 015; Zhao Li 007; Philippe Fournier-Viger; Xingquan Zhu 001; Xindong Wu 001 (Knowl. Based Syst., 2021)

TigeCMN: On exploration of temporal interaction graph embedding via Coupled Memory Neural Networks. - Zhen Zhang 023; Jiajun Bu; Zhao Li 007; Chengwei Yao; Can Wang 001; Jia Wu 001 (Neural Networks, 2021)

GraphScope: A Unified Engine For Big Graph Processing. - Wenfei Fan; Tao He; Longbin Lai; Xue Li 024; Yong Li 020; Zhao Li 007; Zhengping Qian; Chao Tian 001; Lei Wang 004; Jingbo Xu 001; Youyang Yao; Qiang Yin 002; et al. (Proc. VLDB Endow., 2021)

ICS-GNN: Lightweight Interactive Community Search via Graph Neural Network. - Jun Gao 003; Jiazun Chen; Zhao Li 007; Ji Zhang 001 (Proc. VLDB Endow., 2021)

GraphScope: A One-Stop Large Graph Processing System. - Jingbo Xu 001; Zhanning Bai; Wenfei Fan; Longbin Lai; Xue Li 024; Zhao Li 007; Zhengping Qian; Lei Wang 004; Yanyan Wang; Wenyuan Yu; Jingren Zhou 001 (Proc. VLDB Endow., 2021)

TARA-Net: A Fusion Network for Detecting Takeaway Rider Accidents. - Yifan He 005; Zhao Li 007; Lei Fu; Anhui Wang; Peng Zhang 001; Shuigeng Zhou; Ji Zhang 001; Ting Yu 004 (ACM Trans. Intell. Syst. Technol., 2021)

GIFT: Graph-guIded Feature Transfer for Cold-Start Video Click-Through Rate Prediction. - Yi Cao; Sihao Hu; Yu Gong; Zhao Li 007; Yazheng Yang; Qingwen Liu 002; Shouling Ji (CIKM, 2022)

Dual-Augment Graph Neural Network for Fraud Detection. - Qiutong Li; Yanshen He; Cong Xu; Feng Wu; Jianliang Gao; Zhao Li 007 (CIKM, 2022)

Time Series Anomaly Detection for Smart Grids via Multiple Self-Supervised Tasks Learning. - Zhenyu Zhang; Zhao Li 007; Dongyang Cai; Shuming Feng; Jiawei Miao; Yirun Guan; Haicheng Tao; Jie Cao 001 (ICKG, 2022)

Multi-Task Learning with Calibrated Mixture of Insightful Experts. - Sinan Wang; Yumeng Li; Hongyan Li; Tanchao Zhu; Zhao Li 007; Wenwu Ou (ICDE, 2022)

A Generative Adversarial Active Learning Method for Effective Outlier Detection. - Mohamed Jaward Bah; Ji Zhang 001; Ting Yu 004; Feng Xia 001; Zhao Li 007; Shuigeng Zhou; Hongzhi Wang 001 (ICTAI, 2022)

RMGN: A Regional Mask Guided Network for Parser-free Virtual Try-on. - Chao Lin; Zhao Li 007; Sheng Zhou 004; Shichang Hu; Jialun Zhang; Linhao Luo; Jiarun Zhang; Longtao Huang; Yuan He (IJCAI, 2022)

Feedforward Neural Network Reconstructed from High-order Quantum Systems. - Junwei Zhang 009; Zhao Li 007; Hao Peng 001; Ming Li 065; Xiaofen Wang (IJCNN, 2022)

Neural Network Model Reconstructed from Entangled Quantum States. - Junwei Zhang 009; Zhao Li 007; Jianmao Xiao; Ming Li 065 (IJCNN, 2022)

Quantum Entanglement Inspired Correlation Learning for Classification. - Junwei Zhang 009; Zhao Li 007; Juan Wang; Yinghui Wang; Shichang Hu; Jie Xiao 005; Zhaolin Li (PAKDD (2), 2022)

Community Trend Prediction on Heterogeneous Graph in E-commerce. - Jiahao Yuan; Zhao Li 007; Pengcheng Zou; Xuan Gao; Jinwei Pan; Wendi Ji; Xiaoling Wang (WSDM, 2022)

GIFT: Graph-guIded Feature Transfer for Cold-Start Video Click-Through Rate Prediction. - Sihao Hu; Yi Cao; Yu Gong; Zhao Li 007; Yazheng Yang; Qingwen Liu 002; Wengwu Ou; Shouling Ji (CoRR, 2022)

MAMDR: A Model Agnostic Learning Method for Multi-Domain Recommendation. - Linhao Luo; Yumeng Li; Buyu Gao; Shuai Tang; Sinan Wang; Jiancheng Li; Tanchao Zhu; Jiancai Liu; Zhao Li 007; Binqiang Zhao; Ziyang Zheng; Shirui Pan (CoRR, 2022)

One-off Negative Sequential Pattern Mining. - Youxi Wu; Mingjie Chen; Yan Li 087; Jing Liu 066; Zhao Li 007; Jinyan Li; Xindong Wu 001 (CoRR, 2022)

Path-aware Siamese Graph Neural Network for Link Prediction. - Jingsong Lv; Zhao Li 007; Hongyang Chen; Yao Qi; Chunqi Wu (CoRR, 2022)

Context-Aware Robust Fine-Tuning. - Xiaofeng Mao; Yuefeng Chen; Xiaojun Jia; Rong Zhang 006; Hui Xue 001; Zhao Li 007 (CoRR, 2022)

An interpretable outcome prediction model based on electronic health records and hierarchical attention. - Juan Du; Dajian Zeng; Zhao Li 007; Jingxuan Liu; Mingqi Lv; Ling Chen 001; Dan Zhang; Shouling Ji (Int. J. Intell. Syst., 2022)

DBC-Forest: Deep forest with binning confidence screening. - Pengfei Ma; Youxi Wu; Yan Li 087; Lei Guo 015; Zhao Li 007 (Neurocomputing, 2022)

HGNN: Hierarchical graph neural network for predicting the classification of price-limit-hitting stocks. - Cong Xu; Huiling Huang; Xiaoting Ying; Jianliang Gao; Zhao Li 007; Peng Zhang 001; Jie Xiao 005; Jiarun Zhang; Jiangjian Luo (Inf. Sci., 2022)

Method and dataset entity mining in scientific literature: A CNN + BiLSTM model with self-attention. - Linlin Hou; Ji Zhang 001; Ou Wu; Ting Yu 004; Zhen Wang 037; Zhao Li 007; Jianliang Gao; Yingchun Ye; Rujing Yao (Knowl. Based Syst., 2022)

Predicting the Survival of Cancer Patients With Multimodal Graph Neural Network. - Jianliang Gao; Tengfei Lyu; Fan Xiong; Jianxin Wang 001; Weimao Ke; Zhao Li 007 (IEEE ACM Trans. Comput. Biol. Bioinform., 2022)

Graph-Based Stock Recommendation by Time-Aware Relational Attention Network. - Jianliang Gao; Xiaoting Ying; Cong Xu; Jianxin Wang 001; Shichao Zhang 001; Zhao Li 007 (ACM Trans. Knowl. Discov. Data, 2022)

Constrained Dual-Level Bandit for Personalized Impression Regulation in Online Ranking Systems. - Zhao Li 007; Junshuai Song; Zehong Hu; Zhen Wang 037; Jun Gao 003 (ACM Trans. Knowl. Discov. Data, 2022)

CMAL: Cost-Effective Multi-Label Active Learning by Querying Subexamples. - Guoxian Yu; Xia Chen 004; Carlotta Domeniconi; Jun Wang 035; Zhao Li 007; Zili Zhang 001; Xiangliang Zhang 001 (IEEE Trans. Knowl. Data Eng., 2022)

OWSP-Miner: Self-adaptive One-off Weak-gap Strong Pattern Mining. - Youxi Wu; Xiaohui Wang; Yan Li 087; Lei Guo 015; Zhao Li 007; Ji Zhang 001; Xindong Wu 001 (ACM Trans. Manag. Inf. Syst., 2022)

Anomaly Detection on Attributed Networks via Contrastive Self-Supervised Learning. - Yixin Liu 001; Zhao Li 007; Shirui Pan; Chen Gong 002; Chuan Zhou 001; George Karypis (IEEE Trans. Neural Networks Learn. Syst., 2022)

eFraudCom: An E-commerce Fraud Detection System via Competitive Graph Neural Networks. - Ge Zhang 002; Zhao Li 007; Jiaming Huang; Jia Wu 001; Chuan Zhou 001; Jian Yang 001; Jianliang Gao (ACM Trans. Inf. Syst., 2022)

Auto-GNAS: A Parallel Graph Neural Architecture Search Framework. - Jiamin Chen; Jianliang Gao; Yibo Chen; Babatounde Moctard Oloulade; Tengfei Lyu; Zhao Li 007 (IEEE Trans. Parallel Distributed Syst., 2022)

eRiskCom: an e-commerce risky community detection platform. - Fanzhen Liu; Zhao Li 007; Baokun Wang; Jia Wu 001; Jian Yang 001; Jiaming Huang; Yiqing Zhang; Weiqiang Wang; Shan Xue 001; Surya Nepal; Quan Z. Sheng (VLDB J., 2022)

Cyclic label propagation for graph semi-supervised learning. - Zhao Li 007; Yixin Liu 001; Zhen Zhang 023; Shirui Pan; Jianliang Gao; Jiajun Bu (World Wide Web, 2022)

A Survey on Contact Tracing: The Latest Advancements and Challenges. - Ting Jiang; Yang Zhang 042; Minhao Zhang; Ting Yu 004; Yizheng Chen 003; Chenhao Lu; Ji Zhang 001; Zhao Li 007; Jun Gao 003; Shuigeng Zhou (ACM Trans. Spatial Algorithms Syst., 2022)

GPU-Accelerated Maximal Bicliques Mining Framework for Large E-commerce Networks. - Jingdong Li; Zhao Li 007; Xiaoling Wang; Xingjian Lu; Ji Zhang 001; Hongyang Chen (ISPA/BDCloud/SocialCom/SustainCom, 2023)

Anomaly Detection in Battery Charging Systems: A Deep Sequence Model Approach. - Li Zheng; Donghui Ding; Zhao Li 007; Jun Gao 003; Jie Xiao 005; Hongyang Chen; Schahram Dustdar; Ji Zhang 001 (ISPA/BDCloud/SocialCom/SustainCom, 2023)

Incremental Graph Classification by Class Prototype Construction and Augmentation. - Yixin Ren; Li Ke; Dong Li; Hui Xue 001; Zhao Li 007; Shuigeng Zhou (CIKM, 2023)

Multivariate Time Series Anomaly Detection with Fourier Time Series Transformer. - Yufeng Ye; Qichao He; Peng Zhang 001; Jie Xiao 005; Zhao Li 007 (CloudNet, 2023)

GIPA: A General Information Propagation Algorithm for Graph Learning. - Houyi Li; Zhihong Chen; Zhao Li 007; Qinkai Zheng; Peng Zhang 001; Shuigeng Zhou (DASFAA (4), 2023)

Domain Adaptation for Anomaly Detection on Heterogeneous Graphs in E-Commerce. - Li Zheng; Zhao Li 007; Jun Gao 003; Zhenpeng Li; Jia Wu 001; Chuan Zhou 001 (ECIR (2), 2023)

MAMDR: A Model Agnostic Learning Framework for Multi-Domain Recommendation. - Linhao Luo; Yumeng Li; Buyu Gao; Shuai Tang; Sinan Wang; Jiancheng Li; Tanchao Zhu; Jiancai Liu; Zhao Li 007; Shirui Pan (ICDE, 2023)

Reinforcement Neighborhood Selection for Unsupervised Graph Anomaly Detection. - Yuanchen Bei; Sheng Zhou 004; Qiaoyu Tan; Hao Xu; Hao Chen 062; Zhao Li 007; Jiajun Bu (ICDM, 2023)

Decision-focused Graph Neural Networks for Graph Learning and Optimization. - Yang Liu 320; Chuan Zhou 001; Peng Zhang 001; Shuai Zhang; Xiaoou Zhang; Zhao Li 007; Hongyang Chen (ICDM, 2023)

Multiple Hypothesis Testing for Anomaly Detection in Multi-type Event Sequences. - Shuai Zhang; Chuan Zhou 001; Peng Zhang 001; Yang Liu 320; Zhao Li 007; Hongyang Chen (ICDM, 2023)

Unsupervised Product Title Optimization Based on Search Behavior Knowledge in E-commerce. - Shu Liu; Zhiqiang Ye; Jian Liao; Jinxin Wu; Zhao Li 007 (IJCNN, 2023)

Group-based Fraud Detection Network on e-Commerce Platforms. - Jianke Yu; Hanchen Wang 001; Xiaoyang Wang 002; Zhao Li 007; Lu Qin 001; Wenjie Zhang 001; Jian Liao; Ying Zhang 001 (KDD, 2023)

CurvDrop: A Ricci Curvature Based Approach to Prevent Graph Neural Networks from Over-Smoothing and Over-Squashing. - Yang Liu 320; Chuan Zhou 001; Shirui Pan; Jia Wu 001; Zhao Li 007; Hongyang Chen; Peng Zhang 001 (WWW, 2023)

ChatGPT is not Enough: Enhancing Large Language Models with Knowledge Graphs for Fact-aware Language Modeling. - Linyao Yang; Hongyang Chen; Zhao Li 007; Xiao Ding; Xindong Wu 001 (CoRR, 2023)

Sequence-Based Target Coin Prediction for Cryptocurrency Pump-and-Dump. - Sihao Hu; Zhen Zhang 023; Shengliang Lu; Bingsheng He; Zhao Li 007 (Proc. ACM Manag. Data, 2023)

URS: A Light-Weight Segmentation Model for Train Wheelset Monitoring. - Xiaoxuan Guo; Zhenyan Ji; Qibo Feng; Huihui Wang 001; Yanyan Yang; Zhao Li 007 (IEEE Trans. Intell. Transp. Syst., 2023)

Hierarchical Multi-View Graph Pooling With Structure Learning. - Zhen Zhang 023; Jiajun Bu; Martin Ester; Jianfeng Zhang; Zhao Li 007; Chengwei Yao; Huifen Dai; Zhi Yu; Can Wang 001 (IEEE Trans. Knowl. Data Eng., 2023)

Online Active Learning for Drifting Data Streams. - Sanmin Liu; Shan Xue 001; Jia Wu 001; Chuan Zhou 001; Jian Yang 001; Zhao Li 007; Jie Cao 001 (IEEE Trans. Neural Networks Learn. Syst., 2023)

Are Graph Convolutional Networks With Random Weights Feasible? - Changqin Huang; Ming Li 065; Feilong Cao; Hamido Fujita; Zhao Li 007; Xindong Wu 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

scMCs: a framework for single-cell multi-omics data integration and multiple clusterings. - Liangrui Ren; Jun Wang 035; Zhao Li 007; Qingzhong Li; Guoxian Yu (Bioinform., 2023)

ONP-Miner: One-off Negative Sequential Pattern Mining. - Youxi Wu; Mingjie Chen; Yan Li 087; Jing Liu 066; Zhao Li 007; Jinyan Li; Xindong Wu 001 (ACM Trans. Knowl. Discov. Data, 2023)

SAGES: Scalable Attributed Graph Embedding With Sampling for Unsupervised Learning. - Jialin Wang; Xiaoru Qu; Jinze Bai; Zhao Li 007; Ji Zhang 001; Jun Gao 003 (IEEE Trans. Knowl. Data Eng., 2023)

A supervised and distributed framework for cold-start author disambiguation in large-scale publications. - Yibo Chen; Zhiyi Jiang; Jianliang Gao; Hongliang Du; Liping Gao; Zhao Li 007 (Neural Comput. Appl., 2023)

Towards Cross-Lingual Multi-Modal Misinformation Detection for E-Commerce Management. - Yifan He 005; Zhao Li 007; Zhenpeng Li; Shuigeng Zhou; Ting Yu 004; Ji Zhang 001 (IEEE Trans. Netw. Serv. Manag., 2023)

GraphNAS++: Distributed Architecture Search for Graph Neural Networks. - Yang Gao 024; Peng Zhang 001; Hong Yang 003; Chuan Zhou 001; Yue Hu 002; Zhihong Tian; Zhao Li 007; Jingren Zhou 001 (IEEE Trans. Knowl. Data Eng., 2023)

Physical artificial intelligence (PAI): the next-generation artificial intelligence. - Yingbo Li; Zhao Li 007; Yucong Duan; Anamaria-Beatrice Spulber (Frontiers Inf. Technol. Electron. Eng., 2023)

HGNAS++: Efficient Architecture Search for Heterogeneous Graph Neural Networks. - Yang Gao 024; Peng Zhang 001; Chuan Zhou 001; Hong Yang 003; Zhao Li 007; Yue Hu 002; Philip S. Yu (IEEE Trans. Knowl. Data Eng., 2023)

Noah: Reinforcement-Learning-Based Rate Limiter for Microservices in Large-Scale E-Commerce Services. - Zhao Li 007; Haifeng Sun 004; Zheng Xiong; Qun Huang 001; Zehong Hu; Ding Li; Shasha Ruan; Hai Hong; Jie Gui; Jintao He; Zebin Xu; Yang Fang (IEEE Trans. Neural Networks Learn. Syst., 2023)

A Thompson Sampling Algorithm With Logarithmic Regret for Unimodal Gaussian Bandit. - Long Yang 004; Zhao Li 007; Zehong Hu; Shasha Ruan; Gang Pan 001 (IEEE Trans. Neural Networks Learn. Syst., 2023)

HAN-CAD: hierarchical attention network for context anomaly detection in multivariate time series. - Haicheng Tao; Jiawei Miao; Zhao Li 007; Zhenyu Zhang; Shuming Feng; Shu Wang; Jie Cao 001 (World Wide Web (WWW), 2023)

Ethereum fraud behavior detection based on graph neural networks. - Runnan Tan; Qingfeng Tan; Qin Zhang 011; Peng Zhang 001; Yushun Xie; Zhao Li 007 (Computing, 2023)

BLoG: Bootstrapped graph representation learning with local and global regularization for recommendation. - Ming Li 065; Lin Zhang; Lixin Cui; Lu Bai 001; Zhao Li 007; Xindong Wu 001 (Pattern Recognit., 2023)

Adaptive Label Propagation for Group Anomaly Detection in Large-Scale Networks. - Zhao Li 007; Xia Chen 004; Junshuai Song; Jun Gao 003 (IEEE Trans. Knowl. Data Eng., 2023)

Informative Sample Labeling with Conditional Variational Deep Embedding for Active Learning. - Zhao Li 007; Qinxue Meng; Haitao Xu 002; Jiaming Huang; Yangbohan Jiao; Buqing Cao (ADMA (1), 2024)

Path-Aware Siamese Graph Neural Network for Link Prediction. - Jingsong Lv; Zhao Li 007; Hongyang Chen; Ting Li (ADMA (3), 2024)

A Novel Multi-scale Spatiotemporal Graph Neural Network for Epidemic Prediction. - Zenghui Xu; Mingzhang Li; Ting Yu 004; Linlin Hou; Peng Zhang 001; Rage Uday Kiran; Zhao Li 007; Ji Zhang 001 (DEXA (2), 2024)

CPDG: A Contrastive Pre-Training Method for Dynamic Graph Neural Networks. - Yuanchen Bei; Hao Xu; Sheng Zhou 004; Huixuan Chi; Haishuai Wang; Mengdi Zhang 002; Zhao Li 007; Jiajun Bu (ICDE, 2024)

Discovering Personalized Characteristic Communities in Attributed Graphs. - Yudong Niu; Yuchen Li 001; Panagiotis Karras; Yanhao Wang 001; Zhao Li 007 (ICDE, 2024)

CL4CO: A Curriculum Training Framework for Graph-Based Neural Combinatorial Optimization. - Yang Liu 320; Chuan Zhou 001; Peng Zhang 001; Zhao Li 007; Shuai Zhang; Xixun Lin; Xindong Wu 001 (ICDM, 2024)

Transformer-based Graph Neural Networks for Battery Range Prediction in AIoT Battery-Swap Services. - Zhao Li 007; Yang Liu 320; Chuan Zhou 001; Xuanwu Liu; Xuming Pan; Buqing Cao; Xindong Wu 001 (ICWS, 2024)

Secure Causal Reasoning on Coarsened Graph for Privacy-aware Social Web Services. - Yang Liu 320; Chuan Zhou 001; Huang Fang; Peng Zhang 001; Yiling Pang; Qingzhao Zhang; Zhao Li 007; Hongyang Chen (ICWS, 2024)

Federated Transformer Hawkes Processes for Distributed Event Sequence Prediction. - Xinyu Wang; Feng Qiang; Li Ma 012; Peng Zhang 001; Hong Yang 003; Zhao Li 007; Ji Zhang 001 (IJCNN, 2024)

Real-time E-bike Route Planning with Battery Range Prediction. - Zhao Li 007; Guoqi Ren; Yongchun Gu; Siwei Zhou; Xuanwu Liu; Jiaming Huang; Ming Li 065 (WSDM, 2024)

Collaborate to Adapt: Source-Free Graph Domain Adaptation via Bi-directional Adaptation. - Zhen Zhang 023; Meihan Liu; Anhui Wang; Hongyang Chen; Zhao Li 007; Jiajun Bu; Bingsheng He (WWW, 2024)

Combinatorial Optimization with Automated Graph Neural Networks. - Yang Liu 320; Peng Zhang 001; Yang Gao 024; Chuan Zhou 001; Zhao Li 007; Hongyang Chen (CoRR, 2024)

Decision-focused Graph Neural Networks for Combinatorial Optimization. - Yang Liu 320; Chuan Zhou 001; Peng Zhang 001; Shirui Pan; Zhao Li 007; Hongyang Chen (CoRR, 2024)

CL4KGE: A Curriculum Learning Method for Knowledge Graph Embedding. - Yang Liu 320; Chuan Zhou 001; Peng Zhang 001; Yanan Cao 001; Yongchao Liu; Zhao Li 007; Hongyang Chen (CoRR, 2024)

Accelerating Maximal Bicliques Enumeration with GPU on large scale network. - Chunqi Wu; Jingdong Li; Zhao Li 007; Ji Zhang 001; Pan Tang (Future Gener. Comput. Syst., 2024)

ASSL-HGAT: Active semi-supervised learning empowered heterogeneous graph attention network. - Zhenyan Ji; Deyan Kong; Yanyan Yang; Jiqiang Liu; Zhao Li 007 (Knowl. Based Syst., 2024)

CommGNAS: Unsupervised Graph Neural Architecture Search for Community Detection. - Jianliang Gao; Jiamin Chen; Babatounde Moctard Oloulade; Raeed Al-Sabri; Tengfei Lyu; Ji Zhang 001; Zhao Li 007 (IEEE Trans. Emerg. Top. Comput., 2024)

A graph-powered large-scale fraud detection system. - Zhao Li 007; Biao Wang; Jiaming Huang; Yilun Jin; Zenghui Xu; Ji Zhang 001; Jianliang Gao (Int. J. Mach. Learn. Cybern., 2024)

QBER: Quantum-based Entropic Representations for un-attributed graphs. - Lixin Cui; Ming Li 065; Lu Bai 001; Yue Wang 014; Jing Li 040; Yanchao Wang; Zhao Li 007; Yunwen Chen; Edwin R. Hancock (Pattern Recognit., 2024)

Incremental Maximal Clique Enumeration for Hybrid Edge Changes in Large Dynamic Graphs. - Ting Yu 004; Ting Jiang; Mohamed Jaward Bah; Chen Zhao; Hao Huang 001; Mengchi Liu; Shuigeng Zhou; Zhao Li 007; Ji Zhang 001 (IEEE Trans. Knowl. Data Eng., 2024)

Structure-Aware Prototypical Neural Process for Few-Shot Graph Classification. - Xixun Lin; Zhao Li 007; Peng Zhang 001; Luchen Liu; Chuan Zhou 001; Bin Wang 004; Zhihong Tian (IEEE Trans. Neural Networks Learn. Syst., 2024)

Context-Aware Robust Fine-Tuning. - Xiaofeng Mao; Yufeng Chen; Xiaojun Jia; Rong Zhang 006; Hui Xue 001; Zhao Li 007 (Int. J. Comput. Vis., 2024)

Learning Co-occurrence Patterns for Next Destination Recommendation. - Hui Fang; Zhu Xiao; Pengfei Zheng; Hongyang Chen; Zhao Li 007; Jiajun Bu; Haishuai Wang (IEEE Trans. Mob. Comput., 2024)

Give us the Facts: Enhancing Large Language Models With Knowledge Graphs for Fact-Aware Language Modeling. - Linyao Yang; Hongyang Chen; Zhao Li 007; Xiao Ding; Xindong Wu 001 (IEEE Trans. Knowl. Data Eng., 2024)

Toward Graph Self-Supervised Learning With Contrastive Adjusted Zooming. - Yizhen Zheng; Ming Jin 005; Shirui Pan; Yuan-Fang Li; Hao Peng 001; Ming Li 065; Zhao Li 007 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Graph-Enhanced Prompt Learning for Personalized Review Generation. - Xiaoru Qu; Yifan Wang; Zhao Li 007; Jun Gao 003 (Data Sci. Eng., 2024)

Large-Scale Graph Label Propagation on GPUs. - Chang Ye; Yuchen Li 001; Bingsheng He; Zhao Li 007; Jianling Sun (IEEE Trans. Knowl. Data Eng., 2024)

Graph Structure Reshaping Against Adversarial Attacks on Graph Neural Networks. - Haibo Wang 004; Chuan Zhou 001; Xin Chen; Jia Wu 001; Shirui Pan; Zhao Li 007; Jilong Wang 001; Philip S. Yu (IEEE Trans. Knowl. Data Eng., 2024)

DeepAEG: a model for predicting cancer drug response based on data enhancement and edge-collaborative update strategies. - Chuanqi Lao; Pengfei Zheng; Hongyang Chen; Qiao Liu 008; Feng An; Zhao Li 007 (BMC Bioinform., 2024)

EduGraph: Learning Path-Based Hypergraph Neural Networks for MOOC Course Recommendation. - Ming Li 065; Zhao Li 007; Changqin Huang; Yunliang Jiang; Xindong Wu 001 (IEEE Trans. Big Data, 2024)

ReiPool: Reinforced Pooling Graph Neural Networks for Graph-Level Representation Learning. - Xuexiong Luo; Sheng Zhang 006; Jia Wu 001; Hongyang Chen; Hao Peng 001; Chuan Zhou 001; Zhao Li 007; Shan Xue 001; Jian Yang 001 (IEEE Trans. Knowl. Data Eng., 2024)

CommunityDF: A Guided Denoising Diffusion Approach for Community Search. - Jiazun Chen; Yikuan Xia; Jun Gao 003; Zhao Li 007; Hongyang Chen (ICDE, 2025)

HAMAMBA: Hierarchical Adaptive Mixtures of Attention with Mamba for Robust Time Series Anomaly Detection. - Saisai Hu; Ji Zhang 001; Zhao Li 007; Liang Liao; Yuquan Gan; Rage Uday Kiran (ICIC (8), 2025)

RideSmart: Pre-trained Large Models for Delivery Route Planning. - Zhao Li 007; Yangbohan Jiao; Yuduo Shi; Donghui Ding; Jiacheng Wang; Jiarun Zhang; Haitao Xu 002 (WWW (Companion Volume), 2025)

eBaaS: AIoT-Enabled eBike Battery-Swap as a Service for Last-Mile Delivery. - Donghui Ding; Zhao Li 007; Jiarun Zhang; Xuanwu Liu; Ji Zhang 001; Yuchen Li 001; Peng Cai; JianXun Liu 001; Guodong Long (WWW, 2025)

IntentionGPT: Boosting E-commerce User Intent Recognition with Self-data Augmentation and Structure-aware Retrieval. - Yilun Jin; Chunqi Wu; Ying Zhang 001; Chenlong Shi; Zhao Li 007; Wei Yin; Xuming Pan (WWW (Companion Volume), 2025)

PETravel: Personalized E-bike Travel Recommendation System with Unlimited Endurance. - Yuduo Shi; Zhao Li 007; Xuming Pan; Yaoling Chen; Bo Zhou; Haitao Xu 002; Wenrui Ma; Yuchen Li 001; Shichang Hu (WWW (Companion Volume), 2025)

Enhancing drug-drug interaction event prediction from knowledge graphs by multimodal deep neural networks. - Xiaomin Shen; Jianliang Gao; Tengfei Lyu; Jiamin Chen; Jiarun Zhang; Jing He 001; Zhao Li 007; Wei Yu (Int. J. Data Min. Bioinform., 2025)

LLMSRec: Large language model with service network augmentation for web service recommendation. - Qian Peng; Buqing Cao; Xiang Xie; Hongfan Ye; Jianxun Liu 001; Zhao Li 007 (Knowl. Based Syst., 2025)

IBPL: Information Bottleneck-based Prompt Learning for graph out-of-distribution detection. - Yanan Cao 001; Fengzhao Shi; Qing Yu; Xixun Lin; Chuan Zhou 001; Lixin Zou; Peng Zhang 001; Zhao Li 007; Dawei Yin (Neural Networks, 2025)

Revisiting low-homophily for graph-based fraud detection. - Tairan Huang; Qiutong Li; Cong Xu; Jianliang Gao; Zhao Li 007; Shichao Zhang 001 (Neural Networks, 2025)

RHGNN: imposing relational inductive bias for heterogeneous graph neural network. - Shichao Zhu; Shuai Zhang; Yang Liu 320; Chuan Zhou 001; Shirui Pan; Zhao Li 007; Hongyang Chen (Int. J. Mach. Learn. Cybern., 2025)

Temporal Insights for Group-Based Fraud Detection on e-Commerce Platforms. - Jianke Yu; Hanchen Wang 001; Xiaoyang Wang 002; Zhao Li 007; Lu Qin 001; Wenjie Zhang 001; Jian Liao; Ying Zhang 001; Bailin Yang (IEEE Trans. Knowl. Data Eng., 2025)

Knowledge Distillation Guided Interpretable Brain Subgraph Neural Networks for Brain Disorder Exploration. - Xuexiong Luo; Jia Wu 001; Jian Yang 001; Hongyang Chen; Zhao Li 007; Hao Peng 001; Chuan Zhou 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)

EasyRobust: A Comprehensive and Easy-to-use Toolkit for Robust and Generalized Vision. - Xiaofeng Mao; Yuefeng Chen; Rong Zhang 006; Hui Xue 001; Zhao Li 007; Hang Su 006 (CoRR, 2025)

A Comprehensive Survey on Deep Clustering: Taxonomy, Challenges, and Future Directions. - Sheng Zhou 004; Hongjia Xu; Zhuonan Zheng; Jiawei Chen 007; Zhao Li 007; Jiajun Bu; Jia Wu 001; Xin Wang 019; Wenwu Zhu 001; Martin Ester (ACM Comput. Surv., 2025)

T2S: High-resolution Time Series Generation with Text-to-Series Diffusion Models. - Yunfeng Ge; Jiawei Li 017; Yiji Zhao; Haomin Wen; Zhao Li 007; Meikang Qiu; Hongyan Li; Ming Jin 005; Shirui Pan (CoRR, 2025)

SODSR: A Three-Stage Small Object Detection via Super-Resolution Using Optimizing Combination. - Xiaoyong Mei; Kejin Zhang; Changqin Huang; Xiao Chen; Ming Li 065; Zhao Li 007; Weiping Ding 001; Xindong Wu 001 (IEEE Trans. Emerg. Top. Comput. Intell., 2025)

Assessing Color Vision Test in Large Vision-language Models. - Hongfei Ye; Bin Chen; Wenxi Liu; Yu Zhang; Zhao Li 007; Dandan Ni; Hongyang Chen (CoRR, 2025)

Casformer: Information Popularity Prediction With Adaptive Cascade Sampling and Graph Transformer in Social Networks. - Biao Wang; Zhao Li 007; Zenghui Xu; Ji Zhang 001 (IEEE Trans. Big Data, 2025)

MM-Tracker: Visual Tracking With A Multi-Task Model Integrating Detection and Differentiating Feature Extraction. - Zhihui Wang 003; Mingshuai Li; Zhiyuan Li 013; Xing-Li Zhang 001; Ming Li 065; Zhao Li 007; Weiping Ding 001; Xindong Wu 001 (IEEE Trans. Emerg. Top. Comput. Intell., 2025)

AdsDP: A Video Dataset for Recognizing and Examining Dark Patterns in iOS In-App Advertisements. - Yuxuan Shang; Guanxiao Wang; Mengxia Ren; Haomin Zhang; Xingming Chen; Haitao Xu 002; Chuan Yue; Shuai Hao 001; Bo Zhou; Wenrui Ma; Fan Zhang 010; Zhao Li 007 (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2025)