Caleb Chen Cao

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 29

Top Topics

Causal Explanation

Image Classification

Top Venues

IEEE Trans. Vis. Comput. Graph.

Publications

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) (2024)
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) (2024)
Tong Li, Jiale Deng, Yanyan Shen, Luyu Qiu, Yongxiang Huang, Caleb Chen Cao
Towards Fine-Grained Explainability for Heterogeneous Graph Neural Network. AAAI (2023)
Jindi Zhang, Luning Wang, Dan Su, Yongxiang Huang, Caleb Chen Cao, Lei Chen
Model Debiasing via Gradient-based Explanation on Representation. AIES (2023)
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 (2023)
Weiyan Xie, Xiao-Hui Li, Caleb Chen Cao, Nevin L. Zhang
ViT-CX: Causal Explanation of Vision Transformers. IJCAI (2023)
Ruoxi Qi, Yueyuan Zheng, Yi Yang, Caleb Chen Cao, Janet H. Hsiao
Explanation Strategies for Image Classification in Humans vs. Current Explainable AI. CoRR (2023)
Han Gao, Kaican Li, Yongxiang Huang, Luning Wang, Caleb Chen Cao, Nevin L. Zhang
Contrastive Domain Generalization via Logit Attribution Matching. CoRR (2023)
Tong Li, Jiale Deng, Yanyan Shen, Luyu Qiu, Yongxiang Huang, Caleb Chen Cao
Towards Fine-Grained Explainability for Heterogeneous Graph Neural Network. CoRR (2023)
Jindi Zhang, Luning Wang, Dan Su, Yongxiang Huang, Caleb Chen Cao, Lei Chen
Model Debiasing via Gradient-based Explanation on Representation. CoRR (2023)
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)
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)
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 (2022)
Nevin L. Zhang, Weiyan Xie, Zhi Lin, Guanfang Dong, Xiao-Hui Li, Caleb Chen Cao, Yunpeng Wang
Example Perplexity. CoRR (2022)
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)
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) (2022)
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)
Weiyan Xie, Xiao-Hui Li, Caleb Chen Cao, Nevin L. Zhang
ViT-CX: Causal Explanation of Vision Transformers. CoRR (2022)
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)
Ge Lv, Lei Chen, Caleb Chen Cao
On Glocal Explainability of Graph Neural Networks. DASFAA (1) (2022)
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 (2021)
Cong Wang, Haocheng Han, Caleb Chen Cao
TDLS: A Top-Down Layer Searching Algorithm for Generating Counterfactual Visual Explanation. CoRR (2021)
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)
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 (2021)
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)
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 (2020)
Caleb Chen Cao, Jiayang Tu, Zheng Liu, Lei Chen, H. V. Jagadish
Tuning Crowdsourced Human Computation. ICDE (2017)
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) (2016)
Caleb Chen Cao, Zheng Liu, Lei Chen, H. V. Jagadish
Tuning Crowdsourced Human Computation. CoRR (2016)
Rui Meng, Yongxin Tong, Lei Chen, Caleb Chen Cao
CrowdTC: Crowdsourced Taxonomy Construction. ICDM (2015)
Jieying She, Yongxin Tong, Lei Chen, Caleb Chen Cao
Conflict-aware event-participant arrangement. ICDE (2015)
Caleb Chen Cao, Lei Chen, H. V. Jagadish
From labor to trader: opinion elicitation via online crowds as a market. KDD (2014)
Yongxin Tong, Xiaofei Zhang, Caleb Chen Cao, Lei Chen
Efficient Probabilistic Supergraph Search Over Large Uncertain Graphs. CIKM (2014)
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)
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) (2014)
Yongxin Tong, Caleb Chen Cao, Lei Chen
TCS: efficient topic discovery over crowd-oriented service data. KDD (2014)
Leihao Xia, Caleb Chen Cao, Lei Chen, Zhao Chen
C-DMr: Crowd-powered Decision Maker for real world Knapsack Problems. ICDE (2014)
Chen Jason Zhang, Ziyuan Zhao, Lei Chen, H. V. Jagadish, Caleb Chen Cao
CrowdMatcher: crowd-assisted schema matching. SIGMOD Conference (2014)
Caleb Chen Cao, Yongxin Tong, Lei Chen, H. V. Jagadish
WiseMarket: a new paradigm for managing wisdom of online social users. KDD (2013)
Chen Jason Zhang, Lei Chen, H. V. Jagadish, Caleb Chen Cao
Reducing Uncertainty of Schema Matching via Crowdsourcing. Proc. VLDB Endow. 6 (9) (2013)
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) (2012)
Caleb Chen Cao, Jieying She, Yongxin Tong, Lei Chen
Whom to Ask? Jury Selection for Decision Making Tasks on Micro-blog Services CoRR (2012)