Kai Zhong

66 papers A* 10A 1B 1C 2Journal 36Unranked 16
YearRankTypeTitle / Venue / Authors
2026 — conf
Driver Braking Intention Recognition by Transformer with Local-Aware Attention Mechanism via Dual-Channel Electromyography Signals.
CNML
Lin Li, Yu Tang, Chaobin Li, Feiyang Liu, Junzhi Xiong, Jun Xia, Kai Zhong, Kongming Jiang
2026 J jnl
Prediction of protein thermostability trends based on the self-attention mechanism driven sparse convolutional network.
Comput. Biol. Chem.
Pei Xu, Kai Zhong, Honghua Ge, Xiaoping Song, Weihua Wang
2025 J jnl
Authenticated Subgraph Matching on Large-Scale Graphs in Hybrid-Storage Blockchains.
IEEE Trans. Knowl. Data Eng.
Siyu Li, Zhiwei Zhang, Kai Zhong, Kangfei Zhao, Meihui Zhang, Ye Yuan, Guoren Wang
2025 J jnl
Prediction of hematoma changes in spontaneous intracerebral hemorrhage using a Transformer-based generative adversarial network to generate follow-up CT images.
Comput. Medical Imaging Graph.
Changfeng Feng, Caiwen Jiang, Chenxi Hu, Shuaihang Kong, Ziyi Ye, Jing Han, Kai Zhong, Tingting Yang, Hongmei Yin, Qun Lao, Zhongxiang Ding, Dinggang Shen, Qijun Shen
2025 J jnl
SFT Doesn't Always Hurt General Capabilities: Revisiting Domain-Specific Fine-Tuning in LLMs.
CoRR
Jiacheng Lin, Zhongruo Wang, Kun Qian, Tian Wang, Arvind Srinivasan, Hansi Zeng, Ruochen Jiao, Xie Zhou, Jiri Gesi, Dakuo Wang, Yufan Guo, Kai Zhong, Weiqi Zhang, Sujay Sanghavi, Changyou Chen, Hyokun Yun, Lihong Li
2025 — conf
Student Learning Engagement Recognition Method Based on Video Transformer.
BESC (1)
Wenhao Liao, Yuanyuan Wang, Xinwei Zhai, Sineng Yan, Kai Zhong, Eugene Yujun Fu
2024 — conf
Structured Light 3D Measurement of Interreflective Surfaces by Efficient Adaptive Partitioned Projection.
ICVISP
Jiale Li, Pan Zhang, Kai Zhong, Hongye Tian, Zhongwei Li
2023 — conf
3D Positioning and Robot Assembly Method for Multi-plane Workpiece.
RCAR
Ruoyu Jia, Kai Zhong, Jintao Huang, Xi Li, Ruifeng Li, Hua Luo, Zhongwei Li
2023 — conf
Behavior-driven Query Similarity Prediction based on Pre-trained Language Models for E-Commerce Search.
eCom@SIGIR
Yupin Huang, Jiri Gesi, Xinyu Hong, Kai Zhong, Han Cheng, Vivek Mittal, Qingjun Cui, Vamsi Salaka
2023 C conf
GWO-KGC: A Novel Time Series Causal Analysis Scheme.
SAFEPROCESS
Na Wei, Xinyi Dou, Kai Zhong
2023 — conf
ReAugKD: Retrieval-Augmented Knowledge Distillation For Pre-trained Language Models.
ACL (2)
Jianyi Zhang, Aashiq Muhamed, Aditya Anantharaman, Guoyin Wang, Changyou Chen, Kai Zhong, Qingjun Cui, Yi Xu, Belinda Zeng, Trishul Chilimbi, Yiran Chen
2022 — conf
A Robust and Accurate Post-Validation Voting Scheme for Ranking 3D Correspondences.
ICCAI
Lang Wu, Ruoyu Jia, Kai Zhong, Zhongwei Li, Junyun Shang, Hua Luo
2022 — conf
Doppler velocity-based algorithm for Clustering and Velocity Estimation of moving objects.
CACRE
Mian Guo, Kai Zhong, Xiaozhi Wang
2022 A* conf
Enterprise-Scale Search: Accelerating Inference for Sparse Extreme Multi-Label Ranking Trees.
WWW
Philip A. Etter, Kai Zhong, Hsiang-Fu Yu, Lexing Ying, Inderjit S. Dhillon
2022 — conf
Local Correspondence Clustering, Global Pose Verification: Efficient and Robust 3D Object Recognition.
ICCDA
Xi Li, Lang Wu, Kai Zhong, Zhongwei Li
2022 J jnl
PECOS: Prediction for Enormous and Correlated Output Spaces.
J. Mach. Learn. Res.
Hsiang-Fu Yu, Kai Zhong, Jiong Zhang, Wei-Cheng Chang, Inderjit S. Dhillon
2021 C conf
AH-CID: A Tool to Automatically Detect Human-Centric Issues in App Reviews.
ICSOFT
Collins Mathews, Kenny Ye, Jake Grozdanovski, Marcus Marinelli, Kai Zhong, Hourieh Khalajzadeh, Humphrey O. Obie, John Grundy
2021 J jnl
Accelerating Inference for Sparse Extreme Multi-Label Ranking Trees.
CoRR
Philip A. Etter, Kai Zhong, Hsiang-Fu Yu, Lexing Ying, Inderjit S. Dhillon
2021 J jnl
Doppler velocity-based algorithm for Clustering and Velocity Estimation of moving objects.
CoRR
Mian Guo, Kai Zhong, Xiaozhi Wang
2021 A* conf
Extreme Multi-label Learning for Semantic Matching in Product Search.
KDD
Wei-Cheng Chang, Daniel L. Jiang, Hsiang-Fu Yu, Choon-Hui Teo, Jiong Zhang, Kai Zhong, Kedarnath Kolluri, Qie Hu, Nikhil Shandilya, Vyacheslav Ievgrafov, Japinder Singh, Inderjit S. Dhillon
2021 J jnl
Extreme Multi-label Learning for Semantic Matching in Product Search.
CoRR
Wei-Cheng Chang, Daniel L. Jiang, Hsiang-Fu Yu, Choon-Hui Teo, Jiong Zhang, Kai Zhong, Kedarnath Kolluri, Qie Hu, Nikhil Shandilya, Vyacheslav Ievgrafov, Japinder Singh, Inderjit S. Dhillon
2021 J jnl
PPTFH: Robust Local Descriptor Based on Point-Pair Transformation Features for 3D Surface Matching.
Sensors
Lang Wu, Kai Zhong, Zhongwei Li, Ming Zhou, Hongbin Hu, Congjun Wang, Yusheng Shi
2021 — conf
Trust Evaluation Algorithm based on Association Rule Extraction.
CSP
Yanchun Cui, Kai Zhong, Ansheng Yin
2020 J jnl
PECOS: Prediction for Enormous and Correlated Output Spaces.
CoRR
Hsiang-Fu Yu, Kai Zhong, Inderjit S. Dhillon
2020 A* conf
Taming Pretrained Transformers for Extreme Multi-label Text Classification.
KDD
Wei-Cheng Chang, Hsiang-Fu Yu, Kai Zhong, Yiming Yang, Inderjit S. Dhillon
2019 J jnl
A Modular Deep Learning Approach for Extreme Multi-label Text Classification.
CoRR
Wei-Cheng Chang, Hsiang-Fu Yu, Kai Zhong, Yiming Yang, Inderjit S. Dhillon
2019 J jnl
A Stereo-Vision System for Measuring the Ram Speed of Steam Hammers in an Environment with a Large Field of View and Strong Vibrations.
Sensors
Ran Chen, Zhongwei Li, Kai Zhong, Xingjian Liu, Yonghui Wu, Congjun Wang, Yusheng Shi
2019 J jnl
Fractional Order Anisotropy at 9.4 T.
J. Medical Imaging Health Informatics
QingQing Wen, Xiaoming Zhang, Haiyang Tong, Hongyi Yang, Kai Zhong
2019 J jnl
High-Accuracy Globally Consistent Surface Reconstruction Using Fringe Projection Profilometry.
Sensors
Xu Cheng, Xingjian Liu, Zhongwei Li, Kai Zhong, Liya Han, Wantao He, Wanbing Gan, Guoqing Xi, Congjun Wang, Yusheng Shi
2019 A* conf
Provable Non-linear Inductive Matrix Completion.
NeurIPS
Kai Zhong, Zhao Song, Prateek Jain, Inderjit S. Dhillon
2019 J jnl
Vibration Detection and Motion Compensation for Multi-Frequency Phase-Shifting-Based 3D Sensors.
Sensors
Liya Han, Zhongwei Li, Kai Zhong, Xu Cheng, Hua Luo, Gang Liu, Junyun Shang, Congjun Wang, Yusheng Shi
2018 J jnl
A Robot-Driven 3D Shape Measurement System for Automatic Quality Inspection of Thermal Objects on a Forging Production Line.
Sensors
Liya Han, Xu Cheng, Zhongwei Li, Kai Zhong, Yusheng Shi, Hao Jiang
2018 A* conf
Binary Classification with Karmic, Threshold-Quasi-Concave Metrics.
ICML
Bowei Yan, Oluwasanmi Koyejo, Kai Zhong, Pradeep Ravikumar
2018 J jnl
Binary Classification with Karmic, Threshold-Quasi-Concave Metrics.
CoRR
Bowei Yan, Oluwasanmi Koyejo, Kai Zhong, Pradeep Ravikumar
2018 J jnl
Deep learning for steganalysis based on filter diversity selection.
Sci. China Inf. Sci.
Kai Zhong, Guorui Feng, Liquan Shen, Jun Luo
2018 J jnl
Fast HEVC Inter-Prediction Algorithm Based on Matching Block Features.
Int. J. Mob. Comput. Multim. Commun.
Meifeng Liu, Guoyun Zhong, Yueshun He, Kai Zhong, Hongmao Chen, Mingliang Gao
2018 J jnl
In Situ 3D Monitoring of Geometric Signatures in the Powder-Bed-Fusion Additive Manufacturing Process via Vision Sensing Methods.
Sensors
Zhongwei Li, Xingjian Liu, Shifeng Wen, Piyao He, Kai Zhong, Qingsong Wei, Yusheng Shi, Sheng Liu
2018 A* conf
MixLasso: Generalized Mixed Regression via Convex Atomic-Norm Regularization.
NeurIPS
Ian En-Hsu Yen, Wei-Cheng Lee, Kai Zhong, Sung-En Chang, Pradeep Ravikumar, Shou-De Lin
2018 J jnl
Nonlinear Inductive Matrix Completion based on One-layer Neural Networks.
CoRR
Kai Zhong, Zhao Song, Prateek Jain, Inderjit S. Dhillon
2017 A conf
Fast Classification with Binary Prototypes.
AISTATS
Kai Zhong, Ruiqi Guo, Sanjiv Kumar, Bowei Yan, David Simcha, Inderjit S. Dhillon
2017 A* conf
Fast second-order cone programming for safe mission planning.
ICRA
Kai Zhong, Prateek Jain, Ashish Kapoor
2017 J jnl
Investigation on the Performances of Vuilleumier Cycle Heat Pump Adopting Mixture Refrigerants.
Entropy
Yingbai Xie, Kai Zhong
2017 J jnl
Learning Non-overlapping Convolutional Neural Networks with Multiple Kernels.
CoRR
Kai Zhong, Zhao Song, Inderjit S. Dhillon
2017 J jnl
New algebraic conditions for ISS of memristive neural networks with variable delays.
Neural Comput. Appl.
Kai Zhong, Qiqi Yang, Song Zhu
2017 A* conf
Recovery Guarantees for One-hidden-layer Neural Networks.
ICML
Kai Zhong, Zhao Song, Prateek Jain, Peter L. Bartlett, Inderjit S. Dhillon
2017 J jnl
Recovery Guarantees for One-hidden-layer Neural Networks.
CoRR
Kai Zhong, Zhao Song, Prateek Jain, Peter L. Bartlett, Inderjit S. Dhillon
2016 — conf
Coordinate-wise Power Method.
NIPS
Qi Lei, Kai Zhong, Inderjit S. Dhillon
2016 — conf
Dual Decomposed Learning with Factorwise Oracle for Structural SVM of Large Output Domain.
NIPS
Ian En-Hsu Yen, Xiangru Huang, Kai Zhong, Ruohan Zhang, Pradeep Ravikumar, Inderjit S. Dhillon
2016 J jnl
Efficient and Non-Convex Coordinate Descent for Symmetric Nonnegative Matrix Factorization.
IEEE Trans. Signal Process.
Arnaud Vandaele, Nicolas Gillis, Qi Lei, Kai Zhong, Inderjit S. Dhillon
2016 J jnl
Fast Second-order Cone Programming for Safe Mission Planning.
CoRR
Kai Zhong, Prateek Jain, Ashish Kapoor
2016 J jnl
Further results for global exponential stability of stochastic memristor-based neural networks with time-varying delays.
Int. J. Syst. Sci.
Kai Zhong, Song Zhu, Qiqi Yang
2016 — conf
Mixed Linear Regression with Multiple Components.
NIPS
Kai Zhong, Prateek Jain, Inderjit S. Dhillon
2016 A* conf
PD-Sparse : A Primal and Dual Sparse Approach to Extreme Multiclass and Multilabel Classification.
ICML
Ian En-Hsu Yen, Xiangru Huang, Pradeep Ravikumar, Kai Zhong, Inderjit S. Dhillon
2015 A* conf
A Convex Exemplar-based Approach to MAD-Bayes Dirichlet Process Mixture Models.
ICML
Ian En-Hsu Yen, Xin Lin, Kai Zhong, Pradeep Ravikumar, Inderjit S. Dhillon
2015 J jnl
Coordinate Descent Methods for Symmetric Nonnegative Matrix Factorization.
CoRR
Arnaud Vandaele, Nicolas Gillis, Qi Lei, Kai Zhong, Inderjit S. Dhillon
2015 B conf
Efficient Matrix Sensing Using Rank-1 Gaussian Measurements.
ALT
Kai Zhong, Prateek Jain, Inderjit S. Dhillon
2015 — conf
Sparse Linear Programming via Primal and Dual Augmented Coordinate Descent.
NIPS
Ian En-Hsu Yen, Kai Zhong, Cho-Jui Hsieh, Pradeep Ravikumar, Inderjit S. Dhillon
2014 J jnl
Further results on robustness analysis of global exponential stability of recurrent neural networks with time delays and random disturbances.
Neural Networks
Weiwei Luo, Kai Zhong, Song Zhu, Yi Shen
2014 J jnl
Mean square input-to-state stability of a general class of stochastic recurrent neural networks with Markovian switching.
Neural Comput. Appl.
Yong Xu, Weiwei Luo, Kai Zhong, Song Zhu
2014 — conf
Proximal Quasi-Newton for Computationally Intensive L1-regularized M-estimators.
NIPS
Kai Zhong, Ian En-Hsu Yen, Inderjit S. Dhillon, Pradeep Ravikumar
2014 — conf
Real-time 3D shape measurement system with full temporal resolution and spatial resolution.
Three-Dimensional Image Processing, Measurement (3DIPM), and Applications
Kai Zhong, Zhongwei Li, Xiaohui Zhou, Guomin Zhan, Xingjian Liu, Yusheng Shi, Congjun Wang
2014 J jnl
Robustness analysis for parameter matrices of global exponential stability time varying delay systems.
Appl. Math. Comput.
Song Zhu, Kai Zhong, Yi Shen
2014 J jnl
Robustness analysis for parameter matrices of global exponential stable stochastic time varying delay systems.
Commun. Nonlinear Sci. Numer. Simul.
Song Zhu, Kai Zhong, Yufeng Zhang
2011 J jnl
Phase contrast imaging in neonates.
NeuroImage
Kai Zhong, Thomas Ernst, Steven Buchthal, Oliver Speck, Lynn Anderson, Linda Chang
2008 J jnl
The molecular basis for gray and white matter contrast in phase imaging.
NeuroImage
Kai Zhong, Jochen Leupold, Dominik von Elverfeldt, Oliver Speck
2007 J jnl
MR-Encephalography: Fast multi-channel monitoring of brain physiology with magnetic resonance.
NeuroImage
Jürgen Hennig, Kai Zhong, Oliver Speck