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Journal Articles
- 2023
[j29]Zhichao Huang
, Yanbo Fan, Chen Liu, Weizhong Zhang, Yong Zhang, Mathieu Salzmann, Sabine Süsstrunk, Jue Wang:
Fast Adversarial Training With Adaptive Step Size. IEEE Trans. Image Process. 32: 6102-6114 (2023)- [j28]Shiyu Jia, Weizhong Zhang, Guodong Wang, Zhenkuan Pan, Xiaokang Yu:
A real-time deformable cutting method using two levels of linked voxels for improved decoupling between collision and rendering. Vis. Comput. 39(2): 765-783 (2023) - 2022
- [j27]Tingting Liang, Lin Ma, Weizhong Zhang, Haoran Xu, Congying Xia, Yuyu Yin:
Content-aware Recommendation via Dynamic Heterogeneous Graph Convolutional Network. Knowl. Based Syst. 251: 109185 (2022) - [j26]Mengxue Li, Yiwen Kuang, Ziyan Fan, Xiaoli Qin, Shiyu Hu, Zhanning Liang, Qilin Liu, Weizhong Zhang, Birui Wang, Zhaohong Su:
Simultaneous Electrochemical Sensing of Indole-3-Acetic Acid and Salicylic Acid on Poly(L-Proline) Nanoparticles-Carbon Dots-Multiwalled Carbon Nanotubes Composite-Modified Electrode. Sensors 22(6): 2222 (2022) - [j25]Cong Fang, Yihong Gu, Weizhong Zhang, Tong Zhang:
Convex Formulation of Overparameterized Deep Neural Networks. IEEE Trans. Inf. Theory 68(8): 5340-5352 (2022) - 2021
- [j24]Xiaohan Li, Bing Zhang, Kequan Yu, Zhenshen Bao, Weizhong Zhang, Yunfei Bai:
Identifying cancer specific signaling pathways based on the dysregulation between genes. Comput. Biol. Chem. 95: 107586 (2021) - 2020
- [j23]Jian Wang, Weizhong Zhang:
Fuzzy mathematics and machine learning algorithms application in educational quality evaluation model. J. Intell. Fuzzy Syst. 39(4): 5583-5593 (2020) - [j22]Xiaopeng Chen, Changjin Wang, Weizhong Zhang, Kunyan Lan, Qiang Huang:
An Integrated Two-Pose Calibration Method for Estimating Head-Eye Parameters of a Robotic Bionic Eye. IEEE Trans. Instrum. Meas. 69(4): 1664-1672 (2020) - [j21]Chenglizhao Chen, Jipeng Wei, Chong Peng, Weizhong Zhang, Hong Qin:
Improved Saliency Detection in RGB-D Images Using Two-Phase Depth Estimation and Selective Deep Fusion. IEEE Trans. Image Process. 29: 4296-4307 (2020) - [j20]Shiyu Jia, Weizhong Zhang, Zhenkuan Panaleki, Guodong Wang, Xiaokang Yu:
Using pseudo voxel octree to accelerate collision between cutting tool and deformable objects modeled as linked voxels. Vis. Comput. 36(5): 1017-1028 (2020) - 2019
- [j19]Bin Hong, Weizhong Zhang, Wei Liu, Jieping Ye, Deng Cai, Xiaofei He, Jie Wang:
Scaling Up Sparse Support Vector Machines by Simultaneous Feature and Sample Reduction. J. Mach. Learn. Res. 20: 121:1-121:39 (2019) - 2018
- [j18]Shiyu Jia, Weizhong Zhang, Xiaokang Yu, Zhenkuan Pan:
CPU-GPU Parallel Framework for Real-Time Interactive Cutting of Adaptive Octree-Based Deformable Objects. Comput. Graph. Forum 37(1): 45-59 (2018) - [j17]Weizhong Zhang, Tingjin Luo, Shuang Qiu, Jieping Ye, Deng Cai, Xiaofei He, Jie Wang:
Identifying Genetic Risk Factors for Alzheimer's Disease via Shared Tree-Guided Feature Learning Across Multiple Tasks. IEEE Trans. Knowl. Data Eng. 30(11): 2145-2156 (2018) - 2017
- [j16]Shiyu Jia, Zhenkuan Pan, Guodong Wang, Weizhong Zhang, Xiaokang Yu:
Stable Real-Time Surgical Cutting Simulation of Deformable Objects Embedded with Arbitrary Triangular Meshes. J. Comput. Sci. Technol. 32(6): 1198-1213 (2017) - [j15]Weizhong Zhang, Lijun Zhang, Zhongming Jin, Rong Jin, Deng Cai, Xuelong Li, Ronghua Liang, Xiaofei He:
Sparse Learning with Stochastic Composite Optimization. IEEE Trans. Pattern Anal. Mach. Intell. 39(6): 1223-1236 (2017) - 2016
- [j14]Guodong Wang, Qian Dong, Zhenkuan Pan, Weizhong Zhang, Jinming Duan, Li Bai, Jinpeng Zhang:
Retinex theory based active contour model for segmentation of inhomogeneous images. Digit. Signal Process. 50: 43-50 (2016) - 2015
- [j13]Shiyu Jia, Weizhong Zhang, Xiaokang Yu, Zhenkuan Pan:
CPU-GPU mixed implementation of virtual node method for real-time interactive cutting of deformable objects using OpenCL. Int. J. Comput. Assist. Radiol. Surg. 10(9): 1477-1491 (2015) - [j12]Zhigang Zhao, Yingying Chen, Yi Zhao, Weizhong Zhang, Huixian Lv, Zhenkuan Pan:
基于边缘先验模型的运动去模糊 (Motion Deblurring Based on Edge Prior Model). 计算机科学 42(5): 305-308 (2015) - [j11]Zhigang Zhao, Xin Wu, Weizhong Zhang, Yi Zhao, Danfeng Hong, Zhenkuan Pan:
融合水平梯度与局部信息强度的掌纹识别算法 (Palmprint Recognition Algorithm of Integrating Horizontal Gradient and Local Information Intensity). 计算机科学 42(6): 317-321 (2015) - [j10]Xiaoping Wang, Weizhong Zhang, Xiang Huang:
Computation of point inversion and ray-surface intersection through tracing along the base surface. Vis. Comput. 31(11): 1487-1500 (2015) - 2014
- [j9]Jun Wang, Zeyun Yu, Weizhong Zhang, Mingqiang Wei, Changbai Tan, Ning Dai, Xi Zhang:
Robust reconstruction of 2D curves from scattered noisy point data. Comput. Aided Des. 50: 27-40 (2014) - 2013
- [j8]Hongyue He, Zhixue Wang, Qingchao Dong, Weizhong Zhang, Weixing Zhu:
Ontology-Based Semantic Verification for UML Behavioral Models. Int. J. Softw. Eng. Knowl. Eng. 23(2): 117-146 (2013) - 2012
- [j7]Hongyue He, Zhixue Wang, Ying Zhang, Weizhong Zhang:
An Ontology-Based Framework of Requirements Evolvement Management. J. Softw. 7(9): 2018-2025 (2012) - [j6]Weizhong Zhang, Zhixue Wang, Wen Zhao, Yingying Yang, Xin Xin:
Generating Executable Capability Models for Requirements Validation. J. Softw. 7(9): 2046-2052 (2012) - 2010
- [j5]Xiaoping Wang, Wei Wei, Weizhong Zhang:
Projecting curves onto free-form surfaces. Int. J. Comput. Appl. Technol. 37(2): 153-159 (2010) - [j4]Xiaoping Wang, Weizhong Zhang, Laishui Zhou, Liyan Zhang:
Constructing G1 continuous curve on a free-form surface with normal projection. Int. J. Comput. Math. 87(10): 2291-2302 (2010) - [j3]Travis A. Riggs, Tamer Inanc, Weizhong Zhang:
An Autonomous Mobile Robotics Testbed: Construction, Validation, and Experiments. IEEE Trans. Control. Syst. Technol. 18(3): 757-766 (2010) - 2007
- [j2]Xiaoping Wang, Weizhong Zhang, Liyan Zhang:
Intersection of a ruled surface with a free-form surface. Numer. Algorithms 46(1): 85-100 (2007) - [j1]Xiaoping Wang, Weizhong Zhang, Liyan Zhang:
Intersection of a ruled surface with a free-form surface. Numer. Algorithms 46(1): 101-103 (2007)
Conference and Workshop Papers
- 2024
- [c47]Yanlu Cai, Weizhong Zhang, Yuan Wu, Cheng Jin:
FusionFormer: A Concise Unified Feature Fusion Transformer for 3D Pose Estimation. AAAI 2024: 900-908 - [c46]Kaiyi Zhang, Yang Chen, Ximing Yang, Weizhong Zhang, Cheng Jin:
Point Cloud Part Editing: Segmentation, Generation, Assembly, and Selection. AAAI 2024: 7187-7195 - [c45]Yanlu Cai, Weizhong Zhang, Yuan Wu, Cheng Jin:
PoseIRM: Enhance 3D Human Pose Estimation on Unseen Camera Settings via Invariant Risk Minimization. CVPR 2024: 2124-2133 - [c44]Yibin Wang, Weizhong Zhang, Jianwei Zheng, Cheng Jin:
High-fidelity Person-centric Subject-to-Image Synthesis. CVPR 2024: 7675-7684 - [c43]Yuan Gao, Weizhong Zhang, Wenhan Luo, Lin Ma, Jin-Gang Yu, Gui-Song Xia, Jiayi Ma:
Aux-NAS: Exploiting Auxiliary Labels with Negligibly Extra Inference Cost. ICLR 2024 - [c42]Yong Lin, Lu Tan, Yifan Hao, Honam Wong, Hanze Dong, Weizhong Zhang, Yujiu Yang, Tong Zhang:
Spurious Feature Diversification Improves Out-of-distribution Generalization. ICLR 2024 - [c41]Zhibo Zhang, Ximing Yang, Weizhong Zhang, Cheng Jin:
ELiTe: Efficient Image-to-LiDAR Knowledge Transfer for Semantic Segmentation. ICME 2024: 1-6 - [c40]Weizhong Zhang, Zhiwei Zhang, Renjie Pi, Zhongming Jin, Yuan Gao, Jieping Ye, Kani Chen:
Efficient Denoising Diffusion via Probabilistic Masking. ICML 2024 - [c39]Yan Zhuang, Yanlu Cai, Weizhong Zhang, Cheng Jin:
Future Motion Dynamic Modeling via Hybrid Supervision for Multi-Person Motion Prediction Uncertainty Reduction. ACM Multimedia 2024: 9563-9572 - [c38]Yibin Wang, Weizhong Zhang, Jianwei Zheng, Cheng Jin:
PrimeComposer: Faster Progressively Combined Diffusion for Image Composition with Attention Steering. ACM Multimedia 2024: 10824-10832 - [c37]Chandra Chekuri, Junkai Song, Weizhong Zhang:
Contention Resolution for the ℓ-fold union of a matroid via the correlation gap. SOSA 2024: 396-405 - 2023
- [c36]Renjie Pi, Weizhong Zhang, Yueqi Xie, Jiahui Gao, Xiaoyu Wang, Sunghun Kim, Qifeng Chen:
DYNAFED: Tackling Client Data Heterogeneity with Global Dynamics. CVPR 2023: 12177-12186 - [c35]Jiahui Gao, Renjie Pi, Yong Lin, Hang Xu, Jiacheng Ye, Zhiyong Wu, Weizhong Zhang, Xiaodan Liang, Zhenguo Li, Lingpeng Kong:
Self-Guided Noise-Free Data Generation for Efficient Zero-Shot Learning. ICLR 2023 - [c34]Yong Lin, Renjie Pi, Weizhong Zhang, Xiaobo Xia, Jiahui Gao, Xiao Zhou, Tongliang Liu, Bo Han:
A Holistic View of Label Noise Transition Matrix in Deep Learning and Beyond. ICLR 2023 - [c33]Jiaxing Wang, Yong Li, Jingwei Zhuo, Xupeng Shi, Weizhong Zhang, Lixing Gong, Tong Tao, Pengzhang Liu, Yongjun Bao, Weipeng Yan:
DynaMS: Dyanmic Margin Selection for Efficient Deep Learning. ICLR 2023 - [c32]Weilin Wan, Weizhong Zhang, Cheng Jin:
Pose-Motion Video Anomaly Detection via Memory-Augmented Reconstruction and Conditional Variational Prediction. ICME 2023: 2729-2734 - [c31]Rui Wang, Cong Zou, Weizhong Zhang, Zixuan Zhu, Lihua Jing:
Consistency-aware Feature Learning for Hierarchical Fine-grained Visual Classification. ACM Multimedia 2023: 2326-2334 - [c30]R. Ravi, Weizhong Zhang, Michael Zlatin:
Approximation Algorithms for Steiner Tree Augmentation Problems. SODA 2023: 2429-2448 - 2022
- [c29]Xupeng Shi, Pengfei Zheng, A. Adam Ding, Yuan Gao, Weizhong Zhang:
Finding Dynamics Preserving Adversarial Winning Tickets. AISTATS 2022: 510-528 - [c28]Yuhong Sun, Jian Gong, Kai Sheng, Weizhong Zhang, William Bellamy, Xiaoli Ji:
Acoustical Analysis on English Sibilant Fricative /s, ʃ/ Produced by Native Chinese Speakers. IALP 2022: 369-373 - [c27]Xiao Zhou, Yong Lin, Renjie Pi, Weizhong Zhang, Renzhe Xu, Peng Cui, Tong Zhang:
Model Agnostic Sample Reweighting for Out-of-Distribution Learning. ICML 2022: 27203-27221 - [c26]Xiao Zhou, Yong Lin, Weizhong Zhang, Tong Zhang:
Sparse Invariant Risk Minimization. ICML 2022: 27222-27244 - [c25]Xiao Zhou, Renjie Pi, Weizhong Zhang, Yong Lin, Zonghao Chen, Tong Zhang:
Probabilistic Bilevel Coreset Selection. ICML 2022: 27287-27302 - [c24]Weizhong Zhang, Jian Gong, Xiaoli Ji, Yuhong Sun, Kai Sheng:
The Effect of Acoustic Features on Chinese EFL Learners' Perception of English Accentual Prominence. O-COCOSDA 2022 2022: 1-6 - 2021
- [c23]Xiao Zhou, Weizhong Zhang, Hang Xu, Tong Zhang:
Effective Sparsification of Neural Networks With Global Sparsity Constraint. CVPR 2021: 3599-3608 - [c22]Kai Sheng, Jian Gong, Yuhong Sun, Weizhong Zhang, William Bellamy, Xiaoli Ji:
Gender Differences in the Production of Sibilant Contrast by Native Chinese Speakers. IALP 2021: 391-394 - [c21]Xiao Zhou, Weizhong Zhang, Zonghao Chen, Shizhe Diao, Tong Zhang:
Efficient Neural Network Training via Forward and Backward Propagation Sparsification. NeurIPS 2021: 15216-15229 - 2020
- [c20]Wei Chen, Weizhong Zhang, Haoyu Zhao:
Gradient Method for Continuous Influence Maximization with Budget-Saving Considerations. AAAI 2020: 43-50 - [c19]Yihong Gu, Weizhong Zhang, Cong Fang, Jason D. Lee, Tong Zhang:
How to Characterize The Landscape of Overparameterized Convolutional Neural Networks. NeurIPS 2020 - 2019
- [c18]Fangyu Zou, Li Shen, Zequn Jie, Weizhong Zhang, Wei Liu:
A Sufficient Condition for Convergences of Adam and RMSProp. CVPR 2019: 11127-11135 - [c17]Weizhong Zhang, Mingchuan Yang, Wenqiu Wei, Qing Guo:
Channel States Information Based Energy Detection Algorithm in Dual Satellite Systems. WISATS (2) 2019: 515-523 - [c16]Wenqiu Wei, Weizhong Zhang, Mingchuan Yang:
Power Allocation Scheme for Decode-and-Forward Cooperative Communications in Rician Fading Channels. WISATS (2) 2019: 524-531 - 2018
- [c15]Weizhong Zhang, Bin Hong, Lin Ma, Wei Liu, Tong Zhang:
Safe Element Screening for Submodular Function Minimization. ICML 2018: 5781-5790 - [c14]Xing Yan, Weizhong Zhang, Lin Ma, Wei Liu, Qi Wu:
Parsimonious Quantile Regression of Financial Asset Tail Dynamics via Sequential Learning. NeurIPS 2018: 1582-1592 - 2017
- [c13]Weizhong Zhang, Bin Hong, Wei Liu, Jieping Ye, Deng Cai, Xiaofei He, Jie Wang:
Scaling Up Sparse Support Vector Machines by Simultaneous Feature and Sample Reduction. ICML 2017: 4016-4025 - [c12]Tingjin Luo, Weizhong Zhang, Shang Qiu, Yang Yang, Dongyun Yi, Guangtao Wang, Jieping Ye, Jie Wang:
Functional Annotation of Human Protein Coding Isoforms via Non-convex Multi-Instance Learning. KDD 2017: 345-354 - 2016
- [c11]Weizhong Zhang, Lijun Zhang, Rong Jin, Deng Cai, Xiaofei He:
Accelerated Sparse Linear Regression via Random Projection. AAAI 2016: 2337-2343 - 2014
- [c10]Weizhong Zhang, Lijun Zhang, Yao Hu, Rong Jin, Deng Cai, Xiaofei He:
Sparse Learning for Stochastic Composite Optimization. AAAI 2014: 893-900 - 2013
- [c9]Guodong Wang, Zhenkuan Pan, Weizhong Zhang, Qian Dong:
Active contour model coupling with backward diffusion for medical image segmentation. BMEI 2013: 101-105 - [c8]Dan Wang, Weizhong Zhang, Jiayuan Shan:
Optimal trajectory planning for a quadrotor via a Gauss Pseudo-spectrum Method. ICNC 2013: 1666-1670 - 2012
- [c7]Weizhong Zhang, Chi Zhang, Zhenkuan Pan, Guanglei Wang:
An Approach to Curve Reconstruction from Multiple Images. ICDMA 2012: 171-174 - [c6]Tao Mei, Huawei Liang, Bin Kong, Jing Yang, Hui Zhu, Bichun Li, Jiajia Chen, Pan Zhao, Tiejuan Xu, Xiang Tao, Weizhong Zhang, Yan Song, Hu Wei, Jun Wang:
Development of 'Intelligent Pioneer' unmanned vehicle. Intelligent Vehicles Symposium 2012: 938-943 - 2010
- [c5]Weizhong Zhang, Tamer Inanc, Alberto Elfes:
Opportunistic 3D trajectory generation for the JPL Aerobot with Nonlinear Trajectory Generation methodology. ICARCV 2010: 2442-2447 - [c4]Weizhong Zhang, Tamer Inanc, Alberto Elfes:
Energy efficient trajectory generation for a state-space based JPL Aerobot. IROS 2010: 4107-4112 - [c3]Weizhong Zhang, Tamer Inanc:
A tutorial for applying DMOC to solve optimization control problems. SMC 2010: 1857-1862 - 2008
- [c2]Weizhong Zhang, Tamer Inanc, Jerrold E. Marsden:
DMOC approach of real-time trajectory generation for mechanical systems. ICARCV 2008: 2192-2195 - [c1]Weizhong Zhang, Tamer Inanc, Sina Ober-Blöbaum, Jerrold E. Marsden:
Optimal trajectory generation for a glider in time-varying 2D ocean flows B-spline model. ICRA 2008: 1083-1088
Informal and Other Publications
- 2024
- [i34]Weilin Wan, Weizhong Zhang, Cheng Jin:
Out-of-Distribution Detection using Neural Activation Prior. CoRR abs/2402.18162 (2024) - [i33]Yibin Wang, Weizhong Zhang, Jianwei Zheng, Cheng Jin:
PrimeComposer: Faster Progressively Combined Diffusion for Image Composition with Attention Steering. CoRR abs/2403.05053 (2024) - [i32]Zhibo Zhang, Ximing Yang, Weizhong Zhang, Cheng Jin:
Robust Fine-tuning for Pre-trained 3D Point Cloud Models. CoRR abs/2404.16422 (2024) - [i31]Zhibo Zhang, Ximing Yang, Weizhong Zhang, Cheng Jin:
ELiTe: Efficient Image-to-LiDAR Knowledge Transfer for Semantic Segmentation. CoRR abs/2405.04121 (2024) - [i30]Yuan Gao, Weizhong Zhang, Wenhan Luo, Lin Ma, Jin-Gang Yu, Gui-Song Xia, Jiayi Ma:
Aux-NAS: Exploiting Auxiliary Labels with Negligibly Extra Inference Cost. CoRR abs/2405.05695 (2024) - [i29]Yibin Wang, Weizhong Zhang, Jianwei Zheng, Cheng Jin:
High Fidelity Scene Text Synthesis. CoRR abs/2405.14701 (2024) - [i28]Yuan Gao, Zujing Liu, Weizhong Zhang, Bo Du, Gui-Song Xia:
Optimization-based Structural Pruning for Large Language Models without Back-Propagation. CoRR abs/2406.10576 (2024) - [i27]Jipeng Zhang, Yaxuan Qin, Renjie Pi, Weizhong Zhang, Rui Pan, Tong Zhang:
TAGCOS: Task-agnostic Gradient Clustered Coreset Selection for Instruction Tuning Data. CoRR abs/2407.15235 (2024) - [i26]Yibin Wang, Weizhong Zhang, Cheng Jin:
MagicFace: Training-free Universal-Style Human Image Customized Synthesis. CoRR abs/2408.07433 (2024) - 2023
- [i25]Xiao Zhou, Yong Lin, Renjie Pi, Weizhong Zhang, Renzhe Xu, Peng Cui, Tong Zhang:
Model Agnostic Sample Reweighting for Out-of-Distribution Learning. CoRR abs/2301.09819 (2023) - [i24]Xiao Zhou, Renjie Pi, Weizhong Zhang, Yong Lin, Tong Zhang:
Probabilistic Bilevel Coreset Selection. CoRR abs/2301.09880 (2023) - [i23]Zhiwei Zhang, Weizhong Zhang, Yaowei Huang, Kani Chen:
Test-Time Compensated Representation Learning for Extreme Traffic Forecasting. CoRR abs/2309.09074 (2023) - [i22]Yong Lin, Lu Tan, Yifan Hao, Honam Wong, Hanze Dong, Weizhong Zhang, Yujiu Yang, Tong Zhang:
Spurious Feature Diversification Improves Out-of-distribution Generalization. CoRR abs/2309.17230 (2023) - [i21]Yibin Wang, Weizhong Zhang, Jianwei Zheng, Cheng Jin:
High-fidelity Person-centric Subject-to-Image Synthesis. CoRR abs/2311.10329 (2023) - [i20]Yibin Wang, Weizhong Zhang, Jianwei Zheng, Cheng Jin:
Enhancing Object Coherence in Layout-to-Image Synthesis. CoRR abs/2311.10522 (2023) - [i19]Kaiyi Zhang, Yang Chen, Ximing Yang, Weizhong Zhang, Cheng Jin:
Point Cloud Part Editing: Segmentation, Generation, Assembly, and Selection. CoRR abs/2312.11867 (2023) - 2022
- [i18]Xupeng Shi, Pengfei Zheng, A. Adam Ding, Yuan Gao, Weizhong Zhang:
Finding Dynamics Preserving Adversarial Winning Tickets. CoRR abs/2202.06488 (2022) - [i17]Zhichao Huang, Yanbo Fan, Chen Liu, Weizhong Zhang, Yong Zhang, Mathieu Salzmann, Sabine Süsstrunk, Jue Wang:
Fast Adversarial Training with Adaptive Step Size. CoRR abs/2206.02417 (2022) - [i16]R. Ravi, Weizhong Zhang, Michael Zlatin:
New and improved approximation algorithms for Steiner Tree Augmentation Problems. CoRR abs/2207.07983 (2022) - [i15]Yueqi Xie, Weizhong Zhang, Renjie Pi, Fangzhao Wu, Qifeng Chen, Xing Xie, Sunghun Kim:
Robust Federated Learning against both Data Heterogeneity and Poisoning Attack via Aggregation Optimization. CoRR abs/2211.05554 (2022) - [i14]Renjie Pi, Weizhong Zhang, Yueqi Xie, Jiahui Gao, Xiaoyu Wang, Sunghun Kim, Qifeng Chen:
DYNAFED: Tackling Client Data Heterogeneity with Global Dynamics. CoRR abs/2211.10878 (2022) - [i13]Hanze Dong, Shizhe Diao, Weizhong Zhang, Tong Zhang:
Normalizing Flow with Variational Latent Representation. CoRR abs/2211.11638 (2022) - 2021
- [i12]Xiao Zhou, Weizhong Zhang, Hang Xu, Tong Zhang:
Effective Sparsification of Neural Networks with Global Sparsity Constraint. CoRR abs/2105.01571 (2021) - [i11]Jiaxin Li, Yan Ding, Weizhong Zhang, Yifan Zhao, Lingxi Guo, Zhe Yang:
A Structure Feature Algorithm for Multi-modal Forearm Registration. CoRR abs/2111.05485 (2021) - [i10]Xiao Zhou, Weizhong Zhang, Zonghao Chen, Shizhe Diao, Tong Zhang:
Efficient Neural Network Training via Forward and Backward Propagation Sparsification. CoRR abs/2111.05685 (2021) - [i9]Weizhong Zhang, Shuang Qiu:
Safe Screening for Sparse Conditional Random Fields. CoRR abs/2111.13958 (2021) - 2020
- [i8]Xing Yan, Weizhong Zhang, Lin Ma, Wei Liu, Qi Wu:
Parsimonious Quantile Regression of Financial Asset Tail Dynamics via Sequential Learning. CoRR abs/2010.08263 (2020) - 2019
- [i7]Cong Fang, Yihong Gu, Weizhong Zhang, Tong Zhang:
Convex Formulation of Overparameterized Deep Neural Networks. CoRR abs/1911.07626 (2019) - [i6]Wei Chen, Weizhong Zhang, Haoyu Zhao:
Gradient Method for Continuous Influence Maximization with Budget-Saving Considerations. CoRR abs/1911.09100 (2019) - 2018
- [i5]Weizhong Zhang, Bin Hong, Lin Ma, Wei Liu, Tong Zhang:
Safe Element Screening for Submodular Function Minimization. CoRR abs/1805.08527 (2018) - [i4]Yunzhe Tao, Lin Ma, Weizhong Zhang, Jian Liu, Wei Liu, Qiang Du:
Hierarchical Attention-Based Recurrent Highway Networks for Time Series Prediction. CoRR abs/1806.00685 (2018) - [i3]Fangyu Zou, Li Shen, Zequn Jie, Weizhong Zhang, Wei Liu:
A Sufficient Condition for Convergences of Adam and RMSProp. CoRR abs/1811.09358 (2018) - 2016
- [i2]Weizhong Zhang, Bin Hong, Jieping Ye, Deng Cai, Xiaofei He, Jie Wang:
Scaling Up Sparse Support Vector Machine by Simultaneous Feature and Sample Reduction. CoRR abs/1607.06996 (2016) - 2000
- [i1]Hui-Lan Lu, Igor Faynberg, John Voelker, Mark Weissman, Weizhong Zhang, Sung-Yurn Rhim, Jinkyung Hwang, Shinji Ago, S. Moeenuddin, S. Hadvani, Soren Nyckelgard, John Yoakum, Lewis Robart:
Pre-Spirits Implementations of PSTN-initiated Services. RFC 2995: 1-44 (2000)
Coauthor Index
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