Applying Neighborhood Consistency for Fast Clustering and Kernel Density Estimation. - Kai Zhang 001; Ming Tang 001; James T. Kwok (CVPR (2), 2005)

Accelerated Convergence Using Dynamic Mean Shift. - Kai Zhang 001; James T. Kwok; Ming Tang 001 (ECCV (2), 2006)

Fast Speaker Adaption Via Maximum Penalized Likelihood Kernel Regression. - Ivor W. Tsang; James T. Kwok; Brian Mak; Kai Zhang 001; Jeffrey Junfeng Pan (ICASSP (1), 2006)

Block-quantized kernel matrix for fast spectral embedding. - Kai Zhang 001; James T. Kwok (ICML, 2006)

Chaos inducement and Enhancement in Two Particular Nonlinear Maps Using Weak Periodic/quasiperiodic Perturbations. - Jie Zhang 012; Michael Small; Kai Zhang 001 (Int. J. Bifurc. Chaos, 2006)

Improved Nyström low-rank approximation and error analysis. - Kai Zhang 001; Ivor W. Tsang; James T. Kwok (ICML, 2008)

Prototype vector machine for large scale semi-supervised learning. - Kai Zhang 001; James T. Kwok; Bahram Parvin (ICML, 2009)

Density-Weighted Nyström Method for Computing Large Kernel Eigensystems. - Kai Zhang 001; James T. Kwok (Neural Comput., 2009)

Maximum Margin Clustering Made Practical. - Kai Zhang 001; Ivor W. Tsang; James T. Kwok (IEEE Trans. Neural Networks, 2009)

Sparse multitask regression for identifying common mechanism of response to therapeutic targets. - Kai Zhang 001; Joe W. Gray; Bahram Parvin (Bioinform., 2010)

Fast and accurate kernel density approximation using a divide-and-conquer approach. - Yan-xia Jin; Kai Zhang 001; James T. Kwok; Han-chang Zhou (J. Zhejiang Univ. Sci. C, 2010)

Rhythmic Dynamics and Synchronization via Dimensionality Reduction: Application to Human Gait. - Jie Zhang 012; Kai Zhang 001; Jianfeng Feng; Michael Small (PLoS Comput. Biol., 2010)

Simplifying mixture models through function approximation. - Kai Zhang 001; James T. Kwok (IEEE Trans. Neural Networks, 2010)

Clustered Nyström method for large scale manifold learning and dimension reduction. - Kai Zhang 001; James T. Kwok (IEEE Trans. Neural Networks, 2010)

Comparison of sparse coding and kernel methods for histopathological classification of gliobastoma multiforme. - Ju Han; Hang Chang; Leandro A. Loss; Kai Zhang 001; Frederick L. Baehner; Joe W. Gray; Paul T. Spellman; Bahram Parvin (ISBI, 2011)

Improved Nystrom Low-rank Decomposition with Priors. - Kai Zhang 001; Liang Lan; Jun Liu 003; Andreas Rauber (ICML, 2012)

Patient-friendly detection of early peripheral arterial diseases (PAD) by budgeted sensor selection. - Qiaojun Wang; Kai Zhang 001; Ivan Marsic; John K.-J. Li; Fabian Moerchen (PervasiveHealth, 2012)

Inductive Kernel Low-rank Decomposition with Priors: A Generalized Nystrom Method - Kai Zhang 001; Liang Lan; Jun Liu 003; Andreas Rauber; Fabian Moerchen (CoRR, 2012)

Scaling up Kernel SVM on Limited Resources: A Low-rank Linearization Approach. - Kai Zhang 001; Liang Lan; Zhuang Wang; Fabian Moerchen (AISTATS, 2012)

Covariate Shift in Hilbert Space: A Solution via Sorrogate Kernels. - Kai Zhang 001; Vincent Wenchen Zheng; Qiaojun Wang; James Tin-Yau Kwok; Qiang Yang 001; Ivan Marsic (ICML (3), 2013)

Improving Semi-Supervised Target Alignment via Label-Aware Base Kernels. - Qiaojun Wang; Kai Zhang 001; Guofei Jiang; Ivan Marsic (AAAI, 2014)

Sequential Pattern Analysis with Right Granularity. - Chuanren Liu; Kai Zhang 001; Hui Xiong 001 (ICDM Workshops, 2014)

Temporal skeletonization on sequential data: patterns, categorization, and visualization. - Chuanren Liu; Kai Zhang 001; Hui Xiong 001; Geoff Jiang; Qiang Yang 001 (KDD, 2014)

Sparse semi-supervised learning on low-rank kernel. - Kai Zhang 001; Qiaojun Wang; Liang Lan; Yu Sun; Ivan Marsic (Neurocomputing, 2014)

A Quality Control Engine for Complex Physical Systems. - Haifeng Chen; Takehiko Mizoguchi; Yan Tan; Kai Zhang 001; Geoff Jiang (DSN, 2015)

Efficient Long-Term Degradation Profiling in Time Series for Complex Physical Systems. - Liudmila Ulanova; Tan Yan; Haifeng Chen; Guofei Jiang; Eamonn J. Keogh; Kai Zhang 001 (KDD, 2015)

From Categorical to Numerical: Multiple Transitive Distance Learning and Embedding. - Kai Zhang 001; Qiaojun Wang; Zhengzhang Chen; Ivan Marsic; Vipin Kumar 001; Guofei Jiang; Jie Zhang 012 (SDM, 2015)

Scaling Up Graph-Based Semisupervised Learning via Prototype Vector Machines. - Kai Zhang 001; Liang Lan; James T. Kwok; Slobodan Vucetic; Bahram Parvin (IEEE Trans. Neural Networks Learn. Syst., 2015)

Entity Embedding-Based Anomaly Detection for Heterogeneous Categorical Events. - Ting Chen 007; Lu-An Tang; Yizhou Sun; Zhengzhang Chen; Kai Zhang 001 (IJCAI, 2016)

Ranking Causal Anomalies via Temporal and Dynamical Analysis on Vanishing Correlations. - Wei Cheng 002; Kai Zhang 001; Haifeng Chen; Guofei Jiang; Zhengzhang Chen; Wei Wang 010 (KDD, 2016)

Annealed Sparsity via Adaptive and Dynamic Shrinking. - Kai Zhang 001; Shandian Zhe; Chaoran Cheng; Zhi Wei 001; Zhengzhang Chen; Haifeng Chen; Guofei Jiang; Yuan Qi 001; Jieping Ye (KDD, 2016)

Distributed Flexible Nonlinear Tensor Factorization. - Shandian Zhe; Kai Zhang 001; Pengyuan Wang 001; Kuang-chih Lee; Zenglin Xu; Yuan Qi 001; Zoubin Ghahramani (NIPS, 2016)

GID: Graph-based Intrusion Detection on Massive Process Traces for Enterprise Security Systems. - Boxiang Dong; Zhengzhang Chen; Hui Wang 013; Lu-An Tang; Kai Zhang 001; Ying Lin; Haifeng Chen; Guofei Jiang (CoRR, 2016)

Seeing the Forest from the Trees in Two Looks: Matrix Sketching by Cascaded Bilateral Sampling. - Kai Zhang 001; Chuanren Liu; Jie Zhang 012; Hui Xiong 001; Eric P. Xing; Jieping Ye (CoRR, 2016)

Enhancing semi-supervised learning through label-aware base kernels. - Qiaojun Wang; Kai Zhang 001; Zhengzhang Chen; Dequan Wang; Guofei Jiang; Ivan Marsic (Neurocomputing, 2016)

Temporal Skeletonization on Sequential Data: Patterns, Categorization, and Visualization. - Chuanren Liu; Kai Zhang 001; Hui Xiong 001; Guofei Jiang; Qiang Yang 001 (IEEE Trans. Knowl. Data Eng., 2016)

Efficient Discovery of Abnormal Event Sequences in Enterprise Security Systems. - Boxiang Dong; Zhengzhang Chen; Wendy Hui Wang; Lu-An Tang; Kai Zhang 001; Ying Lin; Zhichun Li; Haifeng Chen (CIKM, 2017)

Ranking Causal Anomalies by Modeling Local Propagations on Networked Systems. - Jingchao Ni; Wei Cheng 002; Kai Zhang 001; Dongjin Song; Tan Yan; Haifeng Chen; Xiang Zhang 001 (ICDM, 2017)

Randomization or Condensation?: Linear-Cost Matrix Sketching Via Cascaded Compression Sampling. - Kai Zhang 001; Chuanren Liu; Jie Zhang 012; Hui Xiong 001; Eric P. Xing; Jieping Ye (KDD, 2017)

Low-rank decomposition meets kernel learning: A generalized Nyström method. - Liang Lan; Kai Zhang 001; Hancheng Ge; Wei Cheng 002; Jun Liu 003; Andreas Rauber; Xiaoli Li 001; Jun Wang 006; Hongyuan Zha (Artif. Intell., 2017)

Ranking Causal Anomalies for System Fault Diagnosis via Temporal and Dynamical Analysis on Vanishing Correlations. - Wei Cheng 002; Jingchao Ni; Kai Zhang 001; Haifeng Chen; Guofei Jiang; Yu Shi 002; Xiang Zhang 001; Wei Wang 010 (ACM Trans. Knowl. Discov. Data, 2017)

Collaborative Alert Ranking for Anomaly Detection. - Ying Lin; Zhengzhang Chen; Cheng Cao; Lu-An Tang; Kai Zhang 001; Wei Cheng 002; Zhichun Li (CIKM, 2018)

DisTenC: A Distributed Algorithm for Scalable Tensor Completion on Spark. - Hancheng Ge; Kai Zhang 001; Majid Alfifi; Xia Hu 001; James Caverlee (ICDE, 2018)

NetWalk: A Flexible Deep Embedding Approach for Anomaly Detection in Dynamic Networks. - Wenchao Yu; Wei Cheng 002; Charu C. Aggarwal; Kai Zhang 001; Haifeng Chen; Wei Wang 010 (KDD, 2018)

Network Inference from Contrastive Groups Using Discriminative Structural Regularization. - Ruihua Cheng; Zhi Wei 001; Kai Zhang 001 (SDM, 2018)

Neural and genetic determinants of creativity. - Zhaowen Liu; Jie Zhang 012; Xiaohua Xie; Edmund T. Rolls; Jiangzhou Sun; Kai Zhang 001; Zeyu Jiao; Qunlin Chen; Junying Zhang; Jiang Qiu; Jianfeng Feng (NeuroImage, 2018)

Brain annotation toolbox: exploring the functional and genetic associations of neuroimaging results. - Zhaowen Liu; Edmund T. Rolls; Zhi Liu 004; Kai Zhang 001; Ming Yang; Jingnan Du; Weikang Gong; Wei Cheng 002; Fei Dai; He Wang 016; Kâmil Ugurbil; Jie Zhang 012; et al. (Bioinform., 2019)

Augmented label propagation for seed set expansion. - Tingting Zhu; Xinyu Peng; Ping Li 024; Kai Zhang 001; Yan Chen (Knowl. Based Syst., 2019)

A Feature Sampling Strategy for Analysis of High Dimensional Genomic Data. - Jie Zhang 049; Zhigen Zhao; Kai Zhang 001; Zhi Wei 001 (IEEE ACM Trans. Comput. Biol. Bioinform., 2019)

Scaling Up Kernel SVM on Limited Resources: A Low-Rank Linearization Approach. - Liang Lan; Zhuang Wang; Shandian Zhe; Wei Cheng 002; Jun Wang 006; Kai Zhang 001 (IEEE Trans. Neural Networks Learn. Syst., 2019)

Online Bayesian Sparse Learning with Spike and Slab Priors. - Shikai Fang; Shandian Zhe; Kuang-chih Lee; Kai Zhang 001; Jennifer Neville (ICDM, 2020)

Probabilistic Neural-Kernel Tensor Decomposition. - Conor Tillinghast; Shikai Fang; Kai Zhang 001; Shandian Zhe (ICDM, 2020)

Adaptive Structural Fingerprints for Graph Attention Networks. - Kai Zhang 001; Yaokang Zhu; Jun Wang 006; Jie Zhang 012 (ICLR, 2020)

Structural Landmarking and Interaction Modelling: on Resolution Dilemmas in Graph Classification. - Kai Zhang 001; Yaokang Zhu; Jun Wang 006; Jie Zhang 012; Hongyuan Zha (CoRR, 2020)

Learning Effective and Efficient Embedding via an Adaptively-Masked Twins-based Layer. - Bencheng Yan; Pengjie Wang 002; Kai Zhang 001; Wei Lin 016; Kuang-Chih Lee; Jian Xu 015; Bo Zheng 007 (CIKM, 2021)

GMOT-40: A Benchmark for Generic Multiple Object Tracking. - Hexin Bai; Wensheng Cheng; Peng Chu; Juehuan Liu; Kai Zhang 001; Haibin Ling (CVPR, 2021)

BEAUTY Powered BEAST. - Kai Zhang 001; Zhigen Zhao; Wen Zhou (CoRR, 2021)

Anomalous Event Sequence Detection. - Boxiang Dong; Zhengzhang Chen; Lu-An Tang; Haifeng Chen; Hui Wang 013; Kai Zhang 001; Ying Lin; Zhichun Li (IEEE Intell. Syst., 2021)

Structural Landmarking and Interaction Modelling: A "SLIM" Network for Graph Classification. - Yaokang Zhu; Kai Zhang 001; Jun Wang 006; Haibin Ling; Jie Zhang 012; Hongyuan Zha (AAAI, 2022)

Semantic consistency for graph representation learning. - Jincheng Huang 005; Ping Li 024; Kai Zhang 001 (IJCNN, 2022)

APG: Adaptive Parameter Generation Network for Click-Through Rate Prediction. - Bencheng Yan; Pengjie Wang 002; Kai Zhang 001; Feng Li; Hongbo Deng; Jian Xu 015; Bo Zheng 007 (NeurIPS, 2022)

Multi-modal chemical information reconstruction from images and texts for exploring the near-drug space. - Jie Wang 146; Zihao Shen; Yichen Liao; Zhen Yuan; Shiliang Li; Gaoqi He; Man Lan; Xuhong Qian; Kai Zhang 001; Honglin Li 003 (Briefings Bioinform., 2022)

APG: Adaptive Parameter Generation Network for Click-Through Rate Prediction. - Bencheng Yan; Pengjie Wang 002; Kai Zhang 001; Feng Li; Jian Xu 015; Bo Zheng 007 (CoRR, 2022)

Node Embedding and Classification with Adaptive Structural Fingerprint. - Yaokang Zhu; Jun Wang 006; Jie Zhang 012; Kai Zhang 001 (Neurocomputing, 2022)

Diagnostic Sparse Connectivity Networks With Regularization Template. - Yue Qu; Chuanren Liu; Kai Zhang 001; Keli Xiao; Bo Jin 001; Hui Xiong 001 (IEEE Trans. Knowl. Data Eng., 2023)

Fast Convolutional Factorization Machine With Enhanced Robustness. - Tianyi Gu; Kaiwen Huang; Jie Zhang 012; Kai Zhang 001; Ping Li 024 (IEEE Trans. Knowl. Data Eng., 2023)

Knowledge Graph Information Bottleneck for Drug-Drug Interaction Prediction. - Shun Liu; Gaoqi He; Kai Zhang 001; Honglin Li 003 (IJCNN, 2024)

Prototype-based contrastive substructure identification for molecular property prediction. - Gaoqi He; Shun Liu; Zhuoran Liu; Changbo Wang; Kai Zhang 001; Honglin Li 003 (Briefings Bioinform., 2024)

Sliding-attention transformer neural architecture for predicting T cell receptor-antigen-human leucocyte antigen binding. - Ziyan Feng; Jingyang Chen; Youlong Hai; Xuelian Pang; Kun Zheng; Chenglong Xie; Xiujuan Zhang; Shengqing Li; Chengjuan Zhang; Kangdong Liu; Lili Zhu; Xiaoyong Hu; et al. (Nat. Mac. Intell., 2024)

DPGCL: Dual pass filtering based graph contrastive learning. - Rui Huang; Ping Li 024; Kai Zhang 001 (Neural Networks, 2024)

Building Shortcuts between Distant Nodes with Biaffine Mapping for Graph Convolutional Networks. - Acong Zhang; Jincheng Huang 005; Ping Li 024; Kai Zhang 001 (ACM Trans. Knowl. Discov. Data, 2024)

A Transformative Topological Representation for Link Modeling, Prediction and Cross-Domain Network Analysis. - Kai Zhang 001; Junchen Shen; Gaoqi He; Yu Sun; Haibin Ling; Hongyuan Zha; Honglin Li 003; Jie Zhang 012 (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Harnessing Multimodal Large Language Models for Multimodal Sequential Recommendation. - Yuyang Ye 002; Zhi Zheng 008; Yishan Shen; Tianshu Wang 004; Hengruo Zhang; Peijun Zhu; Runlong Yu; Kai Zhang 001; Hui Xiong 001 (AAAI, 2025)

MIM: Multi-modal Content Interest Modeling Paradigm for User Behavior Modeling. - Bencheng Yan; Si Chen 010; Shichang Jia; Jianyu Liu; Yueran Liu; Chenghan Fu; Wanxian Guan; Hui Zhao; Xiang Zhang 001; Kai Zhang 001; Wenbo Su; Pengjie Wang 002; et al. (CoRR, 2025)

Denoising Structure against Adversarial Attacks on Graph Representation Learning. - Na Chen; Ping Li 024; Jincheng Huang 005; Kai Zhang 001 (ACM Trans. Intell. Syst. Technol., 2025)

RecGPT Technical Report. - Chao Yi; Dian Chen; Gaoyang Guo; Jiakai Tang; Jian Wu; Jing Yu; Mao Zhang; Sunhao Dai; Wen Chen; Wenjun Yang; Yuning Jiang 001; Zhujin Gao; et al. (CoRR, 2025)