Weizhong ZHANG
张卫忠
PhD in Computer Science and Technology
Zhejiang University, 2017

Research Assistant Professor
Department of Mathematics



(852) 2358 8572
weizhong@ust.hk
Room 3450

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Google Scholar
qd06pUgAAAAJ

ORCID
0000-0001-7311-0698

Scopus ID
56393387800




Research Interest Publications Teaching Assignment




Research Interest

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Machine learning
Deep learning
Optimization



Publications

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All Years 14 2022 0 2021 1 2020 1 2019 2 2018 4 2017 4 2016 2

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2021 1

Effective Sparsification of Neural Networks with Global Sparsity Constraint
IEEE Computer Society Conference on Computer Vision and Pattern Recognition, June 2021, Virtual, 19 - 25 June 2021
Zhou, Xiao; Zhang, Weizhong; Xu, Hang; Zhang, Tong Conference paper

2020 1

How to Characterize The Landscape of Overparameterized Convolutional Neural Networks
Advances in Neural Information Processing Systems, v. 2020-December, 2020
Gu, Yihong; Zhang, Weizhong; Fang, Cong; Lee, Jason D.; Zhang, Tong Conference paper

2019 2

Scaling up sparse support vector machines by simultaneous feature and sample reduction
Journal of Machine Learning Research, v. 20, July 2019, article number 121
Hong, Bin; Zhang, Weizhong; Liu, Wei; Ye, Jieping; Cai, Deng; He, Xiaofei; Wang, Jie Article
A sufficient condition for convergences of adam and rmsprop
Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, June 2019, article number 8954145, p. 11119-11127
Zou, Fangyu; Shen, Li; Jie, Zequn; Zhang, Weizhong; Liu, Wei Conference paper

2018 4

Identifying Genetic Risk Factors for Alzheimer's Disease via Shared Tree-Guided Feature Learning Across Multiple Tasks
IEEE Transactions on Knowledge and Data Engineering, v. 30, 11, November 2020, article number 8317000, p. 2145-2156
Zhang, Weizhong; Luo, Tingjin; Qiu, Shuang; Ye, Jieping; Cai, Deng; He, Xiaofei; Wang, Jie Article
Parsimonious Quantile Regression of Financial Asset Tail Dynamics via Sequential Learning
Advances in Neural Information Processing Systems, v. 31, 2018
Yan, Xing; Zhang, Weizhong; Ma, Lin; Liu, Wei; Wu, Qi Conference paper
Safe element screening for submodular function minimization
35th International Conference on Machine Learning, ICML 2018, v. 13, 2018, p. 9211-9220
Zhang, Weizhong; Hong, Bin; Ma, Lin; Liu, Wei; Zhang, Tong Conference paper
Safe Element Screening for Submodular Function Minimization
Proceedings of Machine Learning Research, v. 80, July 2018, p. 5786-5795
Zhang, Weizhong; Hong, Bin; Ma, Lin; Liu, Wei; Zhang, Tong Conference paper

2017 4

Sparse Learning with Stochastic Composite Optimization
IEEE Transactions on Pattern Analysis and Machine Intelligence, v. 39, (6), June 2017, article number 7486981, p. 1223-1236
Zhang, Weizhong; Zhang, Lijun; Jin, Zhongming; Jin, Rong; Cai, Deng; Li, Xuelong; Liang, Ronghua; He, Xiaofei Article
Functional annotation of human protein coding isoforms via non-convex multi-instance learning
Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Part F129685, August 2017, p. 345-354
Luo, Tingjin; Zhang, Weizhong; Qiu, Shuang; Yang, Yang; Yi, Dongyun; Wang, Guangtao; Ye, Jieping; Wang, Jie Conference paper
Scaling up sparse support vector machines by simultaneous feature and sample reduction
34th International Conference on Machine Learning, ICML 2017, v. 8, 2017, p. 6103-6122
Zhang, Weizhong; Hong, Bin; Liu, Wei; Ye, Jieping; Cai, Deng; He, Xiaofei; Wang, Jie Conference paper
Scaling Up Sparse Support Vector Machines by Simultaneous Feature and Sample Reduction
Proceedings of Machine Learning Research, v. 70, 2017, p. 4016-4025
Zhang, Weizhong; Hong, Bin; Liu, Wei; Ye, Jieping; Cai, Deng; He, Xiaofei; Wang, Jie Conference paper

2016 1

Accelerated sparse linear regression via random projection
Proceedings of the AAAI Conference on Artificial Intelligence, v. 30, (1), 2016, article number 10260, p. 2337-2343
Zhang, Weizhong; Zhang, Lijun; Jin, Rong; Cai, Deng; He, Xiaofei Conference paper

2014 1

Sparse learning for stochastic composite optimization
Proceedings of the AAAI Conference on Artificial Intelligence, v. 28, (1), 2014, article number 8844, p. 893-899
Zhang, Weizhong; Zhang, Lijun; Hu, Yao; Jin, Rong; Cai, Deng; He, Xiaofei Conference paper


Expand All Collapse All


Conference paper 1

Effective Sparsification of Neural Networks with Global Sparsity Constraint
IEEE Computer Society Conference on Computer Vision and Pattern Recognition, June 2021, Virtual, 19 - 25 June 2021
Zhou, Xiao; Zhang, Weizhong; Xu, Hang; Zhang, Tong


Expand All Collapse All


Conference paper 1

How to Characterize The Landscape of Overparameterized Convolutional Neural Networks
Advances in Neural Information Processing Systems, v. 2020-December, 2020
Gu, Yihong; Zhang, Weizhong; Fang, Cong; Lee, Jason D.; Zhang, Tong


Expand All Collapse All


Article 1

Scaling up sparse support vector machines by simultaneous feature and sample reduction
Journal of Machine Learning Research, v. 20, July 2019, article number 121
Hong, Bin; Zhang, Weizhong; Liu, Wei; Ye, Jieping; Cai, Deng; He, Xiaofei; Wang, Jie

Conference paper 1

A sufficient condition for convergences of adam and rmsprop
Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, June 2019, article number 8954145, p. 11119-11127
Zou, Fangyu; Shen, Li; Jie, Zequn; Zhang, Weizhong; Liu, Wei


Expand All Collapse All


Article 1

Identifying Genetic Risk Factors for Alzheimer's Disease via Shared Tree-Guided Feature Learning Across Multiple Tasks
IEEE Transactions on Knowledge and Data Engineering, v. 30, 11, November 2020, article number 8317000, p. 2145-2156
Zhang, Weizhong; Luo, Tingjin; Qiu, Shuang; Ye, Jieping; Cai, Deng; He, Xiaofei; Wang, Jie

Conference paper 3

Parsimonious Quantile Regression of Financial Asset Tail Dynamics via Sequential Learning
Advances in Neural Information Processing Systems, v. 31, 2018
Yan, Xing; Zhang, Weizhong; Ma, Lin; Liu, Wei; Wu, Qi
Safe element screening for submodular function minimization
35th International Conference on Machine Learning, ICML 2018, v. 13, 2018, p. 9211-9220
Zhang, Weizhong; Hong, Bin; Ma, Lin; Liu, Wei; Zhang, Tong
Safe Element Screening for Submodular Function Minimization
Proceedings of Machine Learning Research, v. 80, July 2018, p. 5786-5795
Zhang, Weizhong; Hong, Bin; Ma, Lin; Liu, Wei; Zhang, Tong


Expand All Collapse All


Article 1

Sparse Learning with Stochastic Composite Optimization
IEEE Transactions on Pattern Analysis and Machine Intelligence, v. 39, (6), June 2017, article number 7486981, p. 1223-1236
Zhang, Weizhong; Zhang, Lijun; Jin, Zhongming; Jin, Rong; Cai, Deng; Li, Xuelong; Liang, Ronghua; He, Xiaofei

Conference paper 3

Functional annotation of human protein coding isoforms via non-convex multi-instance learning
Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Part F129685, August 2017, p. 345-354
Luo, Tingjin; Zhang, Weizhong; Qiu, Shuang; Yang, Yang; Yi, Dongyun; Wang, Guangtao; Ye, Jieping; Wang, Jie
Scaling up sparse support vector machines by simultaneous feature and sample reduction
34th International Conference on Machine Learning, ICML 2017, v. 8, 2017, p. 6103-6122
Zhang, Weizhong; Hong, Bin; Liu, Wei; Ye, Jieping; Cai, Deng; He, Xiaofei; Wang, Jie
Scaling Up Sparse Support Vector Machines by Simultaneous Feature and Sample Reduction
Proceedings of Machine Learning Research, v. 70, 2017, p. 4016-4025
Zhang, Weizhong; Hong, Bin; Liu, Wei; Ye, Jieping; Cai, Deng; He, Xiaofei; Wang, Jie


Expand All Collapse All


Conference paper 1

Accelerated sparse linear regression via random projection
Proceedings of the AAAI Conference on Artificial Intelligence, v. 30, (1), 2016, article number 10260, p. 2337-2343
Zhang, Weizhong; Zhang, Lijun; Jin, Rong; Cai, Deng; He, Xiaofei


Expand All Collapse All


Conference paper 1

Sparse learning for stochastic composite optimization
Proceedings of the AAAI Conference on Artificial Intelligence, v. 28, (1), 2014, article number 8844, p. 893-899
Zhang, Weizhong; Zhang, Lijun; Hu, Yao; Jin, Rong; Cai, Deng; He, Xiaofei


Expand All Collapse All


2016 1

Accelerated sparse linear regression via random projection
Proceedings of the AAAI Conference on Artificial Intelligence, v. 30, (1), 2016, article number 10260, p. 2337-2343
Zhang, Weizhong; Zhang, Lijun; Jin, Rong; Cai, Deng; He, Xiaofei Conference paper

2014 1

Sparse learning for stochastic composite optimization
Proceedings of the AAAI Conference on Artificial Intelligence, v. 28, (1), 2014, article number 8844, p. 893-899
Zhang, Weizhong; Zhang, Lijun; Hu, Yao; Jin, Rong; Cai, Deng; He, Xiaofei Conference paper


No Publications






Teaching Assignment

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2021-22 Winter 0 2021-22 Fall 1 2020-21 Summer 0 2020-21 Spring 0 2020-21 Winter 0 2020-21 Fall 1

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MATH1003 Calculus and Linear Algebra


MATH1003 Calculus and Linear Algebra


No Teaching Assignments


No Teaching Assignments


No Teaching Assignments


No Teaching Assignments









ProjectsFrom January 2020 to December 2022

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