default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDZejiang Hou
Person information
SPARQL queries 
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
[c17]Raghuveer Peri, Sai Muralidhar Jayanthi, Srikanth Ronanki, Anshu Bhatia, Karel Mundnich, Saket Dingliwal, Nilaksh Das, Zejiang Hou, Goeric Huybrechts, Srikanth Vishnubhotla, Daniel Garcia-Romero, Sundararajan Srinivasan, Kyu J. Han, Katrin Kirchhoff:
SpeechGuard: Exploring the Adversarial Robustness of Multi-modal Large Language Models. ACL (Findings) 2024: 10018-10035- [i9]Raghuveer Peri, Sai Muralidhar Jayanthi, Srikanth Ronanki, Anshu Bhatia, Karel Mundnich, Saket Dingliwal, Nilaksh Das, Zejiang Hou, Goeric Huybrechts, Srikanth Vishnubhotla, Daniel Garcia-Romero, Sundararajan Srinivasan, Kyu J. Han, Katrin Kirchhoff:
SpeechGuard: Exploring the Adversarial Robustness of Multimodal Large Language Models. CoRR abs/2405.08317 (2024) - 2023
- [j3]Zejiang Hou
, Sun-Yuan Kung:
Semi-Supervised Few-Shot Learning Via Dependency Maximization and Instance Discriminant Analysis. J. Signal Process. Syst. 95(1): 13-24 (2023) - 2022
- [j2]Zejiang Hou, Julian Salazar, George Polovets:
Meta-Learning the Difference: Preparing Large Language Models for Efficient Adaptation. Trans. Assoc. Comput. Linguistics 10: 1249-1265 (2022) - [c16]Zejiang Hou, Sun-Yuan Kung:
Semi-Supervised Few-Shot Learning from A Dependency-Discriminant Perspective. CVPR Workshops 2022: 2816-2824 - [c15]Zejiang Hou, Sun-Yuan Kung:
Multi-Dimensional Vision Transformer Compression via Dependency Guided Gaussian Process Search. CVPR Workshops 2022: 3668-3677 - [c14]Zejiang Hou, Minghai Qin, Fei Sun, Xiaolong Ma, Kun Yuan, Yi Xu, Yen-Kuang Chen, Rong Jin, Yuan Xie, Sun-Yuan Kung:
CHEX: CHannel EXploration for CNN Model Compression. CVPR 2022: 12277-12288 - [c13]Xiaolong Ma, Minghai Qin, Fei Sun, Zejiang Hou, Kun Yuan, Yi Xu, Yanzhi Wang, Yen-Kuang Chen, Rong Jin, Yuan Xie:
Effective Model Sparsification by Scheduled Grow-and-Prune Methods. ICLR 2022 - [c12]Zejiang Hou, Sun-Yuan Kung:
Multi-Dimensional Model Compression of Vision Transformer. ICME 2022: 1-6 - [c11]Zejiang Hou, Sun-Yuan Kung:
Multi-Dimensional Dynamic Model Compression for Efficient Image Super-Resolution. WACV 2022: 3492-3502 - [i8]Zejiang Hou, Sun-Yuan Kung:
Multi-Dimensional Model Compression of Vision Transformer. CoRR abs/2201.00043 (2022) - [i7]Zejiang Hou, Minghai Qin, Fei Sun, Xiaolong Ma, Kun Yuan, Yi Xu, Yen-Kuang Chen, Rong Jin, Yuan Xie, Sun-Yuan Kung:
CHEX: CHannel EXploration for CNN Model Compression. CoRR abs/2203.15794 (2022) - [i6]Zejiang Hou, Julian Salazar, George Polovets:
Meta-Learning the Difference: Preparing Large Language Models for Efficient Adaptation. CoRR abs/2207.03509 (2022) - [i5]Zejiang Hou, Fei Sun, Yen-Kuang Chen, Yuan Xie, Sun-Yuan Kung:
MILAN: Masked Image Pretraining on Language Assisted Representation. CoRR abs/2208.06049 (2022) - 2021
- [c10]Zejiang Hou, Sun-Yuan Kung:
Parameter Efficient Dynamic Convolution via Tensor Decomposition. BMVC 2021: 107 - [c9]Zejiang Hou, Anwar Walid, Sun-Yuan Kung:
Meta-Learning with Attention for Improved Few-Shot Learning. ICASSP 2021: 2725-2729 - [c8]Zejiang Hou, Sun-Yuan Kung:
Few-Shot Learning Via Dependency Maximization and Instance Discriminant Analysis. MLSP 2021: 1-6 - [i4]Xiaolong Ma, Minghai Qin, Fei Sun, Zejiang Hou, Kun Yuan, Yi Xu, Yanzhi Wang, Yen-Kuang Chen, Rong Jin, Yuan Xie:
Effective Model Sparsification by Scheduled Grow-and-Prune Methods. CoRR abs/2106.09857 (2021) - [i3]Zejiang Hou, Sun-Yuan Kung:
Few-shot Learning via Dependency Maximization and Instance Discriminant Analysis. CoRR abs/2109.02820 (2021) - 2020
- [j1]Sun-Yuan Kung, Zejiang Hou:
Augment deep BP-parameter learning with local XAI-structural learning. Commun. Inf. Syst. 20(3): 319-352 (2020) - [c7]Mert Al, Zejiang Hou, Sun-Yuan Kung:
Scalable Kernel Learning Via the Discriminant Information. ICASSP 2020: 3152-3156 - [c6]Zejiang Hou, Sun-Yuan Kung:
Efficient Image Super Resolution Via Channel Discriminative Deep Neural Network Pruning. ICASSP 2020: 3647-3651 - [c5]Zejiang Hou, Sun-Yuan Kung:
Hierarchically Aggregated Residual Transformation for Single Image Super Resolution. ICPR 2020: 2248-2255 - [c4]Zejiang Hou, Sun-Yuan Kung:
A Discriminant Information Approach to Deep Neural Network Pruning. ICPR 2020: 9553-9560 - [i2]Zejiang Hou, Sun-Yuan Kung:
A Feature-map Discriminant Perspective for Pruning Deep Neural Networks. CoRR abs/2005.13796 (2020)
2010 – 2019
- 2019
- [c3]Sun-Yuan Kung, Zejiang Hou, Yuchen Liu:
Methodical Design and Trimming of Deep Learning Networks: Enhancing External BP Learning with Internal Omnipresent-supervision Training Paradigm. ICASSP 2019: 8058-8062 - [c2]Zejiang Hou, Sun-Yuan Kung:
A Kernel Discriminant Information Approach to Non-linear Feature Selection. IJCNN 2019: 1-10 - [i1]Mert Al, Zejiang Hou, Sun-Yuan Kung:
Scalable Kernel Learning via the Discriminant Information. CoRR abs/1909.10432 (2019) - 2017
- [c1]Zejiang Hou, Ho-Chun Wu, Shing-Chow Chan:
Distributed optimal power flow: An Augmented Lagrangian-Sequential Quadratic Programming approach. ISCAS 2017: 1-4
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-10-15 20:45 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
