default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDGuangji Bai
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
[j1]Junji Jiang, Chen Ling, Hongyi Li, Guangji Bai, Xujiang Zhao, Liang Zhao:
Quantifying uncertainty in graph neural network explanations. Frontiers Big Data 7 (2024)- [c10]Yifei Zhang, Bo Pan, Siyi Gu, Guangji Bai, Meikang Qiu, Xiaofeng Yang, Liang Zhao:
Visual Attention Prompted Prediction and Learning. IJCAI 2024: 5517-5525 - [c9]Junxiang Wang
, Guangji Bai, Wei Cheng, Zhengzhang Chen, Liang Zhao, Haifeng Chen:
POND: Multi-Source Time Series Domain Adaptation with Information-Aware Prompt Tuning. KDD 2024: 3140-3151 - [c8]Chen Ling, Xujiang Zhao, Xuchao Zhang, Wei Cheng, Yanchi Liu, Yiyou Sun, Mika Oishi, Takao Osaki, Katsushi Matsuda, Jie Ji, Guangji Bai, Liang Zhao, Haifeng Chen:
Uncertainty Quantification for In-Context Learning of Large Language Models. NAACL-HLT 2024: 3357-3370 - [i18]Guangji Bai, Zheng Chai, Chen Ling, Shiyu Wang, Jiaying Lu, Nan Zhang, Tingwei Shi, Ziyang Yu, Mengdan Zhu, Yifei Zhang, Carl Yang, Yue Cheng, Liang Zhao:
Beyond Efficiency: A Systematic Survey of Resource-Efficient Large Language Models. CoRR abs/2401.00625 (2024) - [i17]Chen Ling, Xujiang Zhao, Wei Cheng, Yanchi Liu, Yiyou Sun, Xuchao Zhang, Mika Oishi, Takao Osaki, Katsushi Matsuda, Jie Ji, Guangji Bai, Liang Zhao, Haifeng Chen:
Uncertainty Decomposition and Quantification for In-Context Learning of Large Language Models. CoRR abs/2402.10189 (2024) - [i16]Guangji Bai, Yijiang Li, Chen Ling, Kibaek Kim, Liang Zhao:
Gradient-Free Adaptive Global Pruning for Pre-trained Language Models. CoRR abs/2402.17946 (2024) - [i15]Zekun Cai, Guangji Bai, Renhe Jiang, Xuan Song, Liang Zhao:
Continuous Temporal Domain Generalization. CoRR abs/2405.16075 (2024) - [i14]Qilong Zhao, Shiyu Wang, Guangji Bai, Bo Pan, Zhaohui Qin, Liang Zhao:
Deep Causal Generative Models with Property Control. CoRR abs/2405.16219 (2024) - 2023
- [c7]Zishan Gu, Ke Zhang, Guangji Bai, Liang Chen, Liang Zhao, Carl Yang:
Dynamic Activation of Clients and Parameters for Federated Learning over Heterogeneous Graphs. ICDE 2023: 1597-1610 - [c6]Guangji Bai, Chen Ling, Liang Zhao:
Temporal Domain Generalization with Drift-Aware Dynamic Neural Networks. ICLR 2023 - [c5]Guangji Bai, Chen Ling, Yuyang Gao, Liang Zhao:
Saliency-Augmented Memory Completion for Continual Learning. SDM 2023: 244-252 - [c4]Guangji Bai, Johnny Torres, Junxiang Wang, Liang Zhao, Cristina L. Abad, Carmen Vaca:
Sign-Regularized Multi-Task Learning. SDM 2023: 793-801 - [i13]Tanmoy Chowdhury, Chen Ling, Xuchao Zhang, Xujiang Zhao, Guangji Bai, Jian Pei, Haifeng Chen, Liang Zhao:
Knowledge-enhanced Neural Machine Reasoning: A Review. CoRR abs/2302.02093 (2023) - [i12]Shiyu Wang, Guangji Bai, Qingyang Zhu, Zhaohui Qin, Liang Zhao:
Domain Generalization Deep Graph Transformation. CoRR abs/2305.11389 (2023) - [i11]Guangji Bai, Ziyang Yu, Zheng Chai, Yue Cheng, Liang Zhao:
Staleness-Alleviated Distributed GNN Training via Online Dynamic-Embedding Prediction. CoRR abs/2308.13466 (2023) - [i10]Guangji Bai, Qilong Zhao, Xiaoyang Jiang, Yifei Zhang, Liang Zhao:
Saliency-Guided Hidden Associative Replay for Continual Learning. CoRR abs/2310.04334 (2023) - [i9]Yifei Zhang, Siyi Gu, Bo Pan, Guangji Bai, Xiaofeng Yang, Liang Zhao:
Visual Attention-Prompted Prediction and Learning. CoRR abs/2310.08420 (2023) - [i8]Junxiang Wang, Guangji Bai, Wei Cheng, Zhengzhang Chen, Liang Zhao, Haifeng Chen:
Prompt-based Domain Discrimination for Multi-source Time Series Domain Adaptation. CoRR abs/2312.12276 (2023) - 2022
- [c3]Dazhou Yu, Guangji Bai, Yun Li, Liang Zhao:
Deep Spatial Domain Generalization. ICDM 2022: 1293-1298 - [c2]Guangji Bai, Liang Zhao:
Saliency-Regularized Deep Multi-Task Learning. KDD 2022: 15-25 - [c1]Yuyang Gao, Tong Steven Sun, Guangji Bai, Siyi Gu, Sungsoo Ray Hong, Liang Zhao:
RES: A Robust Framework for Guiding Visual Explanation. KDD 2022: 432-442 - [i7]Guangji Bai, Ling Chen, Liang Zhao:
Temporal Domain Generalization with Drift-Aware Dynamic Neural Network. CoRR abs/2205.10664 (2022) - [i6]Zheng Chai, Guangji Bai, Liang Zhao, Yue Cheng:
Distributed Graph Neural Network Training with Periodic Historical Embedding Synchronization. CoRR abs/2206.00057 (2022) - [i5]Yuyang Gao, Tong Steven Sun, Guangji Bai, Siyi Gu, Sungsoo Ray Hong, Liang Zhao:
RES: A Robust Framework for Guiding Visual Explanation. CoRR abs/2206.13413 (2022) - [i4]Guangji Bai, Liang Zhao:
Saliency-Regularized Deep Multi-Task Learning. CoRR abs/2207.01117 (2022) - [i3]Dazhou Yu, Guangji Bai, Yun Li, Liang Zhao:
Deep Spatial Domain Generalization. CoRR abs/2210.00729 (2022) - [i2]Guangji Bai, Chen Ling, Yuyang Gao, Liang Zhao:
Saliency-Augmented Memory Completion for Continual Learning. CoRR abs/2212.13242 (2022) - 2021
- [i1]Johnny Torres, Guangji Bai, Junxiang Wang, Liang Zhao, Carmen Vaca, Cristina L. Abad:
Sign-regularized Multi-task Learning. CoRR abs/2102.11191 (2021)
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 2024-10-21 21:26 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:
