Kai Zhang

90 papers A* 24A 7B 2Journal 47Unranked 10
YearRankTypeTitle / Venue / Authors
2025 — conf
Alternate Geometric and Semantic Denoising Diffusion for Protein Inverse Folding.
ECML/PKDD (3)
Chenglin Wang, Yucheng Zhou, Zhe Wang, Zijie Zhai, Jianbing Shen, Kai Zhang
2025 A* conf
ComplexBench-Edit: Benchmarking Complex Instruction-Driven Image Editing via Compositional Dependencies.
ACM Multimedia
Chenglin Wang, Yucheng Zhou, Qianning Wang, Zhe Wang, Kai Zhang
2025 J jnl
ComplexBench-Edit: Benchmarking Complex Instruction-Driven Image Editing via Compositional Dependencies.
CoRR
Chenglin Wang, Yucheng Zhou, Qianning Wang, Zhe Wang, Kai Zhang
2025 A* conf
Decoupling and Reconstructing: A Multimodal Sentiment Analysis Framework Towards Robustness.
IJCAI
Mingzheng Yang, Kai Zhang, Yuyang Ye, Yanghai Zhang, Runlong Yu, Min Hou
2025 J jnl
Denoising Structure against Adversarial Attacks on Graph Representation Learning.
ACM Trans. Intell. Syst. Technol.
Na Chen, Ping Li, Jincheng Huang, Kai Zhang
2025 A* conf
Harnessing Multimodal Large Language Models for Multimodal Sequential Recommendation.
AAAI
Yuyang Ye, Zhi Zheng, Yishan Shen, Tianshu Wang, Hengruo Zhang, Peijun Zhu, Runlong Yu, Kai Zhang, Hui Xiong
2025 J jnl
Learning Temporal Features With Alternated Similarity and Proximity Attention for Time-Series Prediction.
IEEE Trans. Neural Networks Learn. Syst.
Jingyang Chen, Ping Li, Jiancheng Lv, Hongyuan Zha, Kai Zhang, Jie Zhang
2025 J jnl
MIM: Multi-modal Content Interest Modeling Paradigm for User Behavior Modeling.
CoRR
Bencheng Yan, Si Chen, Shichang Jia, Jianyu Liu, Yueran Liu, Chenghan Fu, Wanxian Guan, Hui Zhao, Xiang Zhang, Kai Zhang, Wenbo Su, Pengjie Wang, Jian Xu, Bo Zheng, Baolin Liu
2025 J jnl
RecGPT Technical Report.
CoRR
Chao Yi, Dian Chen, Gaoyang Guo, Jiakai Tang, Jian Wu, Jing Yu, Mao Zhang, Sunhao Dai, Wen Chen, Wenjun Yang, Yuning Jiang, Zhujin Gao, Bo Zheng, Chi Li, Dimin Wang, Dixuan Wang, Fan Li, Fan Zhang, Haibin Chen, Haozhuang Liu, Jialin Zhu, Jiamang Wang, Jiawei Wu, Jin Cui, Ju Huang, Kai Zhang, Kan Liu, Lang Tian, Liang Rao, Longbin Li, Lulu Zhao, Na He, Peiyang Wang, Qiqi Huang, Tao Luo, Wenbo Su, Xiaoxiao He, Xin Tong, Xu Chen, Xunke Xi, Yang Li, Yaxuan Wu, Yeqiu Yang, Yi Hu, Yinnan Song, Yuchen Li, Yujie Luo, Yujin Yuan, Yuliang Yan, Zhengyang Wang, Zhibo Xiao, Zhixin Ma, Zile Zhou, Ziqi Zhang
2024 J jnl
A Transformative Topological Representation for Link Modeling, Prediction and Cross-Domain Network Analysis.
IEEE Trans. Pattern Anal. Mach. Intell.
Kai Zhang, Junchen Shen, Gaoqi He, Yu Sun, Haibin Ling, Hongyuan Zha, Honglin Li, Jie Zhang
2024 J jnl
Building Shortcuts between Distant Nodes with Biaffine Mapping for Graph Convolutional Networks.
ACM Trans. Knowl. Discov. Data
Acong Zhang, Jincheng Huang, Ping Li, Kai Zhang
2024 J jnl
Chain-aware graph neural networks for molecular property prediction.
Bioinform.
Honghao Wang, Acong Zhang, Yuan Zhong, Junlei Tang, Kai Zhang, Ping Li
2024 J jnl
DPGCL: Dual pass filtering based graph contrastive learning.
Neural Networks
Rui Huang, Ping Li, Kai Zhang
2024 J jnl
Diffusion Model with Representation Alignment for Protein Inverse Folding.
CoRR
Chenglin Wang, Yucheng Zhou, Zijie Zhai, Jianbing Shen, Kai Zhang
2024 J jnl
Harnessing Multimodal Large Language Models for Multimodal Sequential Recommendation.
CoRR
Yuyang Ye, Zhi Zheng, Yishan Shen, Tianshu Wang, Hengruo Zhang, Peijun Zhu, Runlong Yu, Kai Zhang, Hui Xiong
2024 B conf
Knowledge Graph Information Bottleneck for Drug-Drug Interaction Prediction.
IJCNN
Shun Liu, Gaoqi He, Kai Zhang, Honglin Li
2024 J jnl
Prototype-based contrastive substructure identification for molecular property prediction.
Briefings Bioinform.
Gaoqi He, Shun Liu, Zhuoran Liu, Changbo Wang, Kai Zhang, Honglin Li
2024 J jnl
Sliding-attention transformer neural architecture for predicting T cell receptor-antigen-human leucocyte antigen binding.
Nat. Mac. Intell.
Ziyan Feng, Jingyang Chen, Youlong Hai, Xuelian Pang, Kun Zheng, Chenglong Xie, Xiujuan Zhang, Shengqing Li, Chengjuan Zhang, Kangdong Liu, Lili Zhu, Xiaoyong Hu, Shiliang Li, Jie Zhang, Kai Zhang, Honglin Li
2023 J jnl
Building Shortcuts between Distant Nodes with Biaffine Mapping for Graph Convolutional Networks.
CoRR
Acong Zhang, Jincheng Huang, Ping Li, Kai Zhang
2023 J jnl
Diagnostic Sparse Connectivity Networks With Regularization Template.
IEEE Trans. Knowl. Data Eng.
Yue Qu, Chuanren Liu, Kai Zhang, Keli Xiao, Bo Jin, Hui Xiong
2023 J jnl
Fast Convolutional Factorization Machine With Enhanced Robustness.
IEEE Trans. Knowl. Data Eng.
Tianyi Gu, Kaiwen Huang, Jie Zhang, Kai Zhang, Ping Li
2022 A* conf
APG: Adaptive Parameter Generation Network for Click-Through Rate Prediction.
NeurIPS
Bencheng Yan, Pengjie Wang, Kai Zhang, Feng Li, Hongbo Deng, Jian Xu, Bo Zheng
2022 J jnl
APG: Adaptive Parameter Generation Network for Click-Through Rate Prediction.
CoRR
Bencheng Yan, Pengjie Wang, Kai Zhang, Feng Li, Jian Xu, Bo Zheng
2022 J jnl
Multi-modal chemical information reconstruction from images and texts for exploring the near-drug space.
Briefings Bioinform.
Jie Wang, Zihao Shen, Yichen Liao, Zhen Yuan, Shiliang Li, Gaoqi He, Man Lan, Xuhong Qian, Kai Zhang, Honglin Li
2022 J jnl
Node Embedding and Classification with Adaptive Structural Fingerprint.
Neurocomputing
Yaokang Zhu, Jun Wang, Jie Zhang, Kai Zhang
2022 B conf
Semantic consistency for graph representation learning.
IJCNN
Jincheng Huang, Ping Li, Kai Zhang
2022 A* conf
Structural Landmarking and Interaction Modelling: A "SLIM" Network for Graph Classification.
AAAI
Yaokang Zhu, Kai Zhang, Jun Wang, Haibin Ling, Jie Zhang, Hongyuan Zha
2021 J jnl
Anomalous Event Sequence Detection.
IEEE Intell. Syst.
Boxiang Dong, Zhengzhang Chen, Lu-An Tang, Haifeng Chen, Hui Wang, Kai Zhang, Ying Lin, Zhichun Li
2021 J jnl
BEAUTY Powered BEAST.
CoRR
Kai Zhang, Zhigen Zhao, Wen Zhou
2021 A* conf
GMOT-40: A Benchmark for Generic Multiple Object Tracking.
CVPR
Hexin Bai, Wensheng Cheng, Peng Chu, Juehuan Liu, Kai Zhang, Haibin Ling
2021 A conf
Learning Effective and Efficient Embedding via an Adaptively-Masked Twins-based Layer.
CIKM
Bencheng Yan, Pengjie Wang, Kai Zhang, Wei Lin, Kuang-Chih Lee, Jian Xu, Bo Zheng
2021 J jnl
Learning Effective and Efficient Embedding via an Adaptively-Masked Twins-based Layer.
CoRR
Bencheng Yan, Pengjie Wang, Kai Zhang, Wei Lin, Kuang-Chih Lee, Jian Xu, Bo Zheng
2020 A* conf
Adaptive Structural Fingerprints for Graph Attention Networks.
ICLR
Kai Zhang, Yaokang Zhu, Jun Wang, Jie Zhang
2020 J jnl
GMOT-40: A Benchmark for Generic Multiple Object Tracking.
CoRR
Hexin Bai, Wensheng Cheng, Peng Chu, Juehuan Liu, Kai Zhang, Haibin Ling
2020 A* conf
Online Bayesian Sparse Learning with Spike and Slab Priors.
ICDM
Shikai Fang, Shandian Zhe, Kuang-Chih Lee, Kai Zhang, Jennifer Neville
2020 A* conf
Probabilistic Neural-Kernel Tensor Decomposition.
ICDM
Conor Tillinghast, Shikai Fang, Kai Zhang, Shandian Zhe
2020 J jnl
Structural Landmarking and Interaction Modelling: on Resolution Dilemmas in Graph Classification.
CoRR
Kai Zhang, Yaokang Zhu, Jun Wang, Jie Zhang, Hongyuan Zha
2019 J jnl
A Feature Sampling Strategy for Analysis of High Dimensional Genomic Data.
IEEE ACM Trans. Comput. Biol. Bioinform.
Jie Zhang, Zhigen Zhao, Kai Zhang, Zhi Wei
2019 J jnl
Augmented label propagation for seed set expansion.
Knowl. Based Syst.
Tingting Zhu, Xinyu Peng, Ping Li, Kai Zhang, Yan Chen
2019 J jnl
Brain annotation toolbox: exploring the functional and genetic associations of neuroimaging results.
Bioinform.
Zhaowen Liu, Edmund T. Rolls, Zhi Liu, Kai Zhang, Ming Yang, Jingnan Du, Weikang Gong, Wei Cheng, Fei Dai, He Wang, Kâmil Ugurbil, Jie Zhang, Jianfeng Feng
2019 J jnl
Scaling Up Kernel SVM on Limited Resources: A Low-Rank Linearization Approach.
IEEE Trans. Neural Networks Learn. Syst.
Liang Lan, Zhuang Wang, Shandian Zhe, Wei Cheng, Jun Wang, Kai Zhang
2018 A conf
Collaborative Alert Ranking for Anomaly Detection.
CIKM
Ying Lin, Zhengzhang Chen, Cheng Cao, Lu-An Tang, Kai Zhang, Wei Cheng, Zhichun Li
2018 A* conf
DisTenC: A Distributed Algorithm for Scalable Tensor Completion on Spark.
ICDE
Hancheng Ge, Kai Zhang, Majid Alfifi, Xia Hu, James Caverlee
2018 A* conf
NetWalk: A Flexible Deep Embedding Approach for Anomaly Detection in Dynamic Networks.
KDD
Wenchao Yu, Wei Cheng, Charu C. Aggarwal, Kai Zhang, Haifeng Chen, Wei Wang
2018 A conf
Network Inference from Contrastive Groups Using Discriminative Structural Regularization.
SDM
Ruihua Cheng, Zhi Wei, Kai Zhang
2018 J jnl
Neural and genetic determinants of creativity.
NeuroImage
Zhaowen Liu, Jie Zhang, Xiaohua Xie, Edmund T. Rolls, Jiangzhou Sun, Kai Zhang, Zeyu Jiao, Qunlin Chen, Junying Zhang, Jiang Qiu, Jianfeng Feng
2017 A conf
Efficient Discovery of Abnormal Event Sequences in Enterprise Security Systems.
CIKM
Boxiang Dong, Zhengzhang Chen, Wendy Hui Wang, Lu-An Tang, Kai Zhang, Ying Lin, Zhichun Li, Haifeng Chen
2017 J jnl
Low-rank decomposition meets kernel learning: A generalized Nyström method.
Artif. Intell.
Liang Lan, Kai Zhang, Hancheng Ge, Wei Cheng, Jun Liu, Andreas Rauber, Xiaoli Li, Jun Wang, Hongyuan Zha
2017 A* conf
Randomization or Condensation?: Linear-Cost Matrix Sketching Via Cascaded Compression Sampling.
KDD
Kai Zhang, Chuanren Liu, Jie Zhang, Hui Xiong, Eric P. Xing, Jieping Ye
2017 A* conf
Ranking Causal Anomalies by Modeling Local Propagations on Networked Systems.
ICDM
Jingchao Ni, Wei Cheng, Kai Zhang, Dongjin Song, Tan Yan, Haifeng Chen, Xiang Zhang
2017 J jnl
Ranking Causal Anomalies for System Fault Diagnosis via Temporal and Dynamical Analysis on Vanishing Correlations.
ACM Trans. Knowl. Discov. Data
Wei Cheng, Jingchao Ni, Kai Zhang, Haifeng Chen, Guofei Jiang, Yu Shi, Xiang Zhang, Wei Wang
2016 A* conf
Annealed Sparsity via Adaptive and Dynamic Shrinking.
KDD
Kai Zhang, Shandian Zhe, Chaoran Cheng, Zhi Wei, Zhengzhang Chen, Haifeng Chen, Guofei Jiang, Yuan Qi, Jieping Ye
2016 — conf
Distributed Flexible Nonlinear Tensor Factorization.
NIPS
Shandian Zhe, Kai Zhang, Pengyuan Wang, Kuang-Chih Lee, Zenglin Xu, Yuan Qi, Zoubin Ghahramani
2016 J jnl
Enhancing semi-supervised learning through label-aware base kernels.
Neurocomputing
Qiaojun Wang, Kai Zhang, Zhengzhang Chen, Dequan Wang, Guofei Jiang, Ivan Marsic
2016 A* conf
Entity Embedding-Based Anomaly Detection for Heterogeneous Categorical Events.
IJCAI
Ting Chen, Lu-An Tang, Yizhou Sun, Zhengzhang Chen, Kai Zhang
2016 J jnl
Entity Embedding-based Anomaly Detection for Heterogeneous Categorical Events.
CoRR
Ting Chen, Lu-An Tang, Yizhou Sun, Zhengzhang Chen, Kai Zhang
2016 J jnl
GID: Graph-based Intrusion Detection on Massive Process Traces for Enterprise Security Systems.
CoRR
Boxiang Dong, Zhengzhang Chen, Hui Wang, Lu-An Tang, Kai Zhang, Ying Lin, Haifeng Chen, Guofei Jiang
2016 A* conf
Ranking Causal Anomalies via Temporal and Dynamical Analysis on Vanishing Correlations.
KDD
Wei Cheng, Kai Zhang, Haifeng Chen, Guofei Jiang, Zhengzhang Chen, Wei Wang
2016 J jnl
Seeing the Forest from the Trees in Two Looks: Matrix Sketching by Cascaded Bilateral Sampling.
CoRR
Kai Zhang, Chuanren Liu, Jie Zhang, Hui Xiong, Eric P. Xing, Jieping Ye
2016 J jnl
Temporal Skeletonization on Sequential Data: Patterns, Categorization, and Visualization.
IEEE Trans. Knowl. Data Eng.
Chuanren Liu, Kai Zhang, Hui Xiong, Guofei Jiang, Qiang Yang
2015 A conf
A Quality Control Engine for Complex Physical Systems.
DSN
Haifeng Chen, Takehiko Mizoguchi, Yan Tan, Kai Zhang, Geoff Jiang
2015 A* conf
Efficient Long-Term Degradation Profiling in Time Series for Complex Physical Systems.
KDD
Liudmila Ulanova, Tan Yan, Haifeng Chen, Guofei Jiang, Eamonn J. Keogh, Kai Zhang
2015 A conf
From Categorical to Numerical: Multiple Transitive Distance Learning and Embedding.
SDM
Kai Zhang, Qiaojun Wang, Zhengzhang Chen, Ivan Marsic, Vipin Kumar, Guofei Jiang, Jie Zhang
2015 J jnl
Scaling Up Graph-Based Semisupervised Learning via Prototype Vector Machines.
IEEE Trans. Neural Networks Learn. Syst.
Kai Zhang, Liang Lan, James T. Kwok, Slobodan Vucetic, Bahram Parvin
2014 A* conf
Improving Semi-Supervised Target Alignment via Label-Aware Base Kernels.
AAAI
Qiaojun Wang, Kai Zhang, Guofei Jiang, Ivan Marsic
2014 — conf
Sequential Pattern Analysis with Right Granularity.
ICDM Workshops
Chuanren Liu, Kai Zhang, Hui Xiong
2014 J jnl
Sparse semi-supervised learning on low-rank kernel.
Neurocomputing
Kai Zhang, Qiaojun Wang, Liang Lan, Yu Sun, Ivan Marsic
2014 A* conf
Temporal skeletonization on sequential data: patterns, categorization, and visualization.
KDD
Chuanren Liu, Kai Zhang, Hui Xiong, Geoff Jiang, Qiang Yang
2013 — conf
Covariate Shift in Hilbert Space: A Solution via Sorrogate Kernels.
ICML (3)
Kai Zhang, Vincent Wenchen Zheng, Qiaojun Wang, James Tin-Yau Kwok, Qiang Yang, Ivan Marsic
2012 A* conf
Improved Nystrom Low-rank Decomposition with Priors.
ICML
Kai Zhang, Liang Lan, Jun Liu, Andreas Rauber
2012 J jnl
Inductive Kernel Low-rank Decomposition with Priors: A Generalized Nystrom Method
CoRR
Kai Zhang, Liang Lan, Jun Liu, Andreas Rauber, Fabian Moerchen
2012 — conf
Patient-friendly detection of early peripheral arterial diseases (PAD) by budgeted sensor selection.
PervasiveHealth
Qiaojun Wang, Kai Zhang, Ivan Marsic, John K.-J. Li, Fabian Moerchen
2012 A conf
Scaling up Kernel SVM on Limited Resources: A Low-rank Linearization Approach.
AISTATS
Kai Zhang, Liang Lan, Zhuang Wang, Fabian Moerchen
2011 — conf
Comparison of sparse coding and kernel methods for histopathological classification of gliobastoma multiforme.
ISBI
Ju Han, Hang Chang, Leandro A. Loss, Kai Zhang, Frederick L. Baehner, Joe W. Gray, Paul T. Spellman, Bahram Parvin
2010 J jnl
Clustered Nyström method for large scale manifold learning and dimension reduction.
IEEE Trans. Neural Networks
Kai Zhang, James T. Kwok
2010 J jnl
Fast and accurate kernel density approximation using a divide-and-conquer approach.
J. Zhejiang Univ. Sci. C
Yan-xia Jin, Kai Zhang, James T. Kwok, Han-chang Zhou
2010 J jnl
Rhythmic Dynamics and Synchronization via Dimensionality Reduction: Application to Human Gait.
PLoS Comput. Biol.
Jie Zhang, Kai Zhang, Jianfeng Feng, Michael Small
2010 J jnl
Simplifying mixture models through function approximation.
IEEE Trans. Neural Networks
Kai Zhang, James T. Kwok
2010 J jnl
Sparse multitask regression for identifying common mechanism of response to therapeutic targets.
Bioinform.
Kai Zhang, Joe W. Gray, Bahram Parvin
2009 J jnl
Density-Weighted Nyström Method for Computing Large Kernel Eigensystems.
Neural Comput.
Kai Zhang, James T. Kwok
2009 J jnl
Maximum Margin Clustering Made Practical.
IEEE Trans. Neural Networks
Kai Zhang, Ivor W. Tsang, James T. Kwok
2009 A* conf
Prototype vector machine for large scale semi-supervised learning.
ICML
Kai Zhang, James T. Kwok, Bahram Parvin
2008 A* conf
Improved Nyström low-rank approximation and error analysis.
ICML
Kai Zhang, Ivor W. Tsang, James T. Kwok
2007 A* conf
Maximum margin clustering made practical.
ICML
Kai Zhang, Ivor W. Tsang, James T. Kwok
2006 — conf
Accelerated Convergence Using Dynamic Mean Shift.
ECCV (2)
Kai Zhang, James T. Kwok, Ming Tang
2006 A* conf
Block-quantized kernel matrix for fast spectral embedding.
ICML
Kai Zhang, James T. Kwok
2006 J jnl
Chaos inducement and Enhancement in Two Particular Nonlinear Maps Using Weak Periodic/quasiperiodic Perturbations.
Int. J. Bifurc. Chaos
Jie Zhang, Michael Small, Kai Zhang
2006 — conf
Fast Speaker Adaption Via Maximum Penalized Likelihood Kernel Regression.
ICASSP (1)
Ivor W. Tsang, James T. Kwok, Brian Mak, Kai Zhang, Jeffrey Junfeng Pan
2006 — conf
Simplifying Mixture Models through Function Approximation.
NIPS
Kai Zhang, James T. Kwok
2005 — conf
Applying Neighborhood Consistency for Fast Clustering and Kernel Density Estimation.
CVPR (2)
Kai Zhang, Ming Tang, James T. Kwok