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ORCIDCaleb Chen Cao
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2020 – today
- 2024
[j7]Rusheng Pan
, Zhiyong Wang, Yating Wei, Han Gao, Gongchang Ou, Caleb Chen Cao, Jingli Xu, Tong Xu, Wei Chen:
Towards Efficient Visual Simplification of Computational Graphs in Deep Neural Networks. IEEE Trans. Vis. Comput. Graph. 30(7): 3359-3373 (2024)- [j6]Yating Wei, Zhiyong Wang, Zhongwei Wang, Yong Dai, Gongchang Ou, Han Gao, Haitao Yang, Yue Wang, Caleb Chen Cao, Luoxuan Weng, Jiaying Lu, Rongchen Zhu, Wei Chen:
Visual Diagnostics of Parallel Performance in Training Large-Scale DNN Models. IEEE Trans. Vis. Comput. Graph. 30(7): 3915-3929 (2024) - 2023
- [c21]Tong Li, Jiale Deng, Yanyan Shen, Luyu Qiu, Yongxiang Huang, Caleb Chen Cao:
Towards Fine-Grained Explainability for Heterogeneous Graph Neural Network. AAAI 2023: 8640-8647 - [c20]Jindi Zhang, Luning Wang, Dan Su, Yongxiang Huang, Caleb Chen Cao, Lei Chen:
Model Debiasing via Gradient-based Explanation on Representation. AIES 2023: 193-204 - [c19]Weiyan Xie, Xiao-Hui Li, Caleb Chen Cao, Nevin L. Zhang:
ViT-CX: Causal Explanation of Vision Transformers. IJCAI 2023: 1569-1577 - [c18]Weiyan Xie, Xiao-Hui Li, Zhi Lin, Leonard K. M. Poon, Caleb Chen Cao, Nevin L. Zhang:
Two-stage holistic and contrastive explanation of image classification. UAI 2023: 2335-2345 - [i13]Ruoxi Qi, Yueyuan Zheng, Yi Yang, Caleb Chen Cao, Janet H. Hsiao:
Explanation Strategies for Image Classification in Humans vs. Current Explainable AI. CoRR abs/2304.04448 (2023) - [i12]Han Gao, Kaican Li, Yongxiang Huang, Luning Wang, Caleb Chen Cao, Nevin L. Zhang:
Contrastive Domain Generalization via Logit Attribution Matching. CoRR abs/2305.07888 (2023) - [i11]Jindi Zhang, Luning Wang, Dan Su, Yongxiang Huang, Caleb Chen Cao, Lei Chen:
Model Debiasing via Gradient-based Explanation on Representation. CoRR abs/2305.12178 (2023) - [i10]Weiyan Xie, Xiao-Hui Li, Zhi Lin, Leonard K. M. Poon, Caleb Chen Cao, Nevin L. Zhang:
Two-Stage Holistic and Contrastive Explanation of Image Classification. CoRR abs/2306.06339 (2023) - [i9]Tong Li, Jiale Deng, Yanyan Shen, Luyu Qiu, Yongxiang Huang, Caleb Chen Cao:
Towards Fine-Grained Explainability for Heterogeneous Graph Neural Network. CoRR abs/2312.15237 (2023) - 2022
- [j5]Xiao-Hui Li, Caleb Chen Cao, Yuhan Shi, Wei Bai, Han Gao, Luyu Qiu, Cong Wang, Yuanyuan Gao, Shenjia Zhang, Xun Xue, Lei Chen:
A Survey of Data-Driven and Knowledge-Aware eXplainable AI. IEEE Trans. Knowl. Data Eng. 34(1): 29-49 (2022) - [c17]Runjin Chen, Tong Li, Yanyan Shen, Luyu Qiu, Kaidi Li, Caleb Chen Cao:
GCF-RD: A Graph-based Contrastive Framework for Semi-Supervised Learning on Relational Databases. CIKM 2022: 222-231 - [c16]Ge Lv, Lei Chen, Caleb Chen Cao:
On Glocal Explainability of Graph Neural Networks. DASFAA (1) 2022: 648-664 - [c15]Yi Yang, Yueyuan Zheng, Didan Deng, Jindi Zhang, Yongxiang Huang, Yumeng Yang, Janet H. Hsiao, Caleb Chen Cao:
HSI: Human Saliency Imitator for Benchmarking Saliency-Based Model Explanations. HCOMP 2022: 231-242 - [c14]Shendi Wang, Haoyang Li, Caleb Chen Cao, Xiao-Hui Li, Ng Ngai Fai, Jianxin Liu, Xun Xue, Hu Song, Jinyu Li, Guangye Gu, Lei Chen:
Tower Bridge Net (TB-Net): Bidirectional Knowledge Graph Aware Embedding Propagation for Explainable Recommender Systems. ICDE 2022: 3268-3279 - [c13]Luyu Qiu, Yi Yang, Caleb Chen Cao, Yueyuan Zheng, Hilary Hei Ting Ngai, Janet Hui-wen Hsiao, Lei Chen:
Generating Perturbation-based Explanations with Robustness to Out-of-Distribution Data. WWW 2022: 3594-3605 - [i8]Nevin L. Zhang, Weiyan Xie, Zhi Lin, Guanfang Dong, Xiao-Hui Li, Caleb Chen Cao, Yunpeng Wang:
Example Perplexity. CoRR abs/2203.08813 (2022) - [i7]Weiyan Xie, Xiao-Hui Li, Caleb Chen Cao, Nevin L. Zhang:
ViT-CX: Causal Explanation of Vision Transformers. CoRR abs/2211.03064 (2022) - [i6]Rusheng Pan, Zhiyong Wang, Yating Wei, Han Gao, Gongchang Ou, Caleb Chen Cao, Jingli Xu, Tong Xu, Wei Chen:
Towards Efficient Visual Simplification of Computational Graphs in Deep Neural Networks. CoRR abs/2212.10774 (2022) - 2021
- [c12]Xiao-Hui Li, Yuhan Shi, Haoyang Li, Wei Bai, Caleb Chen Cao, Lei Chen:
An Experimental Study of Quantitative Evaluations on Saliency Methods. KDD 2021: 3200-3208 - [c11]Cong Wang, Xiao-Hui Li, Haocheng Han, Shendi Wang, Luning Wang, Caleb Chen Cao, Lei Chen:
Counterfactual Explanations in Explainable AI: A Tutorial. KDD 2021: 4080-4081 - [i5]Luyu Qiu, Yi Yang, Caleb Chen Cao, Jing Liu, Yueyuan Zheng, Hilary Hei Ting Ngai, Janet H. Hsiao, Lei Chen:
Resisting Out-of-Distribution Data Problem in Perturbation of XAI. CoRR abs/2107.14000 (2021) - [i4]Janet Hui-wen Hsiao, Hilary Hei Ting Ngai, Luyu Qiu, Yi Yang, Caleb Chen Cao:
Roadmap of Designing Cognitive Metrics for Explainable Artificial Intelligence (XAI). CoRR abs/2108.01737 (2021) - 2020
- [i3]Xiao-Hui Li, Yuhan Shi, Haoyang Li, Wei Bai, Yuanwei Song, Caleb Chen Cao, Lei Chen:
Quantitative Evaluations on Saliency Methods: An Experimental Study. CoRR abs/2012.15616 (2020)
2010 – 2019
- 2017
- [c10]Caleb Chen Cao, Jiayang Tu, Zheng Liu, Lei Chen, H. V. Jagadish:
Tuning Crowdsourced Human Computation. ICDE 2017: 1021-1032 - 2016
- [j4]Jieying She, Yongxin Tong, Lei Chen, Caleb Chen Cao:
Conflict-Aware Event-Participant Arrangement and Its Variant for Online Setting. IEEE Trans. Knowl. Data Eng. 28(9): 2281-2295 (2016) - [i2]Caleb Chen Cao, Zheng Liu, Lei Chen, H. V. Jagadish:
Tuning Crowdsourced Human Computation. CoRR abs/1610.04429 (2016) - 2015
- [c9]Jieying She, Yongxin Tong, Lei Chen, Caleb Chen Cao:
Conflict-aware event-participant arrangement. ICDE 2015: 735-746 - [c8]Rui Meng, Yongxin Tong, Lei Chen, Caleb Chen Cao:
CrowdTC: Crowdsourced Taxonomy Construction. ICDM 2015: 913-918 - 2014
- [j3]Zhao Chen, Rui Fu, Ziyuan Zhao, Zheng Liu, Leihao Xia, Lei Chen, Peng Cheng, Caleb Chen Cao, Yongxin Tong, Chen Jason Zhang:
gMission: A General Spatial Crowdsourcing Platform. Proc. VLDB Endow. 7(13): 1629-1632 (2014) - [c7]Yongxin Tong, Xiaofei Zhang, Caleb Chen Cao, Lei Chen:
Efficient Probabilistic Supergraph Search Over Large Uncertain Graphs. CIKM 2014: 809-818 - [c6]Leihao Xia, Caleb Chen Cao, Lei Chen, Zhao Chen:
C-DMr: Crowd-powered Decision Maker for real world Knapsack Problems. ICDE 2014: 1174-1177 - [c5]Yongxin Tong, Caleb Chen Cao, Chen Jason Zhang, Yatao Li, Lei Chen:
CrowdCleaner: Data cleaning for multi-version data on the web via crowdsourcing. ICDE 2014: 1182-1185 - [c4]Yongxin Tong, Caleb Chen Cao, Lei Chen:
TCS: efficient topic discovery over crowd-oriented service data. KDD 2014: 861-870 - [c3]Caleb Chen Cao, Lei Chen, H. V. Jagadish:
From labor to trader: opinion elicitation via online crowds as a market. KDD 2014: 1067-1076 - [c2]Chen Jason Zhang, Ziyuan Zhao, Lei Chen, H. V. Jagadish, Caleb Chen Cao:
CrowdMatcher: crowd-assisted schema matching. SIGMOD Conference 2014: 721-724 - 2013
- [j2]Chen Jason Zhang, Lei Chen, H. V. Jagadish, Caleb Chen Cao:
Reducing Uncertainty of Schema Matching via Crowdsourcing. Proc. VLDB Endow. 6(9): 757-768 (2013) - [c1]Caleb Chen Cao, Yongxin Tong, Lei Chen, H. V. Jagadish:
WiseMarket: a new paradigm for managing wisdom of online social users. KDD 2013: 455-463 - 2012
- [j1]Caleb Chen Cao, Jieying She, Yongxin Tong, Lei Chen:
Whom to Ask? Jury Selection for Decision Making Tasks on Micro-blog Services. Proc. VLDB Endow. 5(11): 1495-1506 (2012) - [i1]Caleb Chen Cao, Jieying She, Yongxin Tong, Lei Chen:
Whom to Ask? Jury Selection for Decision Making Tasks on Micro-blog Services. CoRR abs/1208.0273 (2012)
Coauthor Index
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