Caleb Chen Cao

According to our database, Caleb Chen Cao authored at least 34 papers between 2012 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Contrastive Domain Generalization via Logit Attribution Matching.

Han Gao, Kaican Li, Yongxiang Huang, Luning Wang, Caleb Chen Cao, Nevin L. Zhang

CoRR, 2023

Explanation Strategies for Image Classification in Humans vs. Current Explainable AI.

Ruoxi Qi, Yueyuan Zheng, Yi Yang, Caleb Chen Cao, Janet H. Hsiao

CoRR, 2023

Two-stage holistic and contrastive explanation of image classification.

Weiyan Xie, Xiao-Hui Li, Zhi Lin, Leonard K. M. Poon, Caleb Chen Cao, Nevin L. Zhang

Proceedings of the Uncertainty in Artificial Intelligence, 2023

ViT-CX: Causal Explanation of Vision Transformers.

Weiyan Xie, Xiao-Hui Li, Caleb Chen Cao, Nevin L. Zhang

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Model Debiasing via Gradient-based Explanation on Representation.

Jindi Zhang, Luning Wang, Dan Su, Yongxiang Huang, Caleb Chen Cao, Lei Chen

Proceedings of the 2023 AAAI/ACM Conference on AI, Ethics, and Society, 2023

Towards Fine-Grained Explainability for Heterogeneous Graph Neural Network.

Tong Li, Jiale Deng, Yanyan Shen, Luyu Qiu, Yongxiang Huang, Caleb Chen Cao

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

A Survey of Data-Driven and Knowledge-Aware eXplainable AI.

Xiao-Hui Li, Caleb Chen Cao, Yuhan Shi, Wei Bai, Han Gao, Luyu Qiu, Cong Wang, Yuanyuan Gao, Shenjia Zhang, Xun Xue, Lei Chen

IEEE Trans. Knowl. Data Eng., 2022

Towards Efficient Visual Simplification of Computational Graphs in Deep Neural Networks.

Rusheng Pan, Zhiyong Wang, Yating Wei, Han Gao, Gongchang Ou, Caleb Chen Cao, Jingli Xu, Tong Xu, Wei Chen

CoRR, 2022

Example Perplexity.

Nevin L. Zhang, Weiyan Xie, Zhi Lin, Guanfang Dong, Xiao-Hui Li, Caleb Chen Cao, Yunpeng Wang

CoRR, 2022

Generating Perturbation-based Explanations with Robustness to Out-of-Distribution Data.

Luyu Qiu, Yi Yang, Caleb Chen Cao, Yueyuan Zheng, Hilary Hei Ting Ngai, Janet Hui-wen Hsiao, Lei Chen

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Tower Bridge Net (TB-Net): Bidirectional Knowledge Graph Aware Embedding Propagation for Explainable Recommender Systems.

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

Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

HSI: Human Saliency Imitator for Benchmarking Saliency-Based Model Explanations.

Yi Yang, Yueyuan Zheng, Didan Deng, Jindi Zhang, Yongxiang Huang, Yumeng Yang, Janet H. Hsiao, Caleb Chen Cao

Proceedings of the Tenth AAAI Conference on Human Computation and Crowdsourcing, 2022

On Glocal Explainability of Graph Neural Networks.

Ge Lv, Lei Chen, Caleb Chen Cao

Proceedings of the Database Systems for Advanced Applications, 2022

GCF-RD: A Graph-based Contrastive Framework for Semi-Supervised Learning on Relational Databases.

Runjin Chen, Tong Li, Yanyan Shen, Luyu Qiu, Kaidi Li, Caleb Chen Cao

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021

Roadmap of Designing Cognitive Metrics for Explainable Artificial Intelligence (XAI).

Janet Hui-wen Hsiao, Hilary Hei Ting Ngai, Luyu Qiu, Yi Yang, Caleb Chen Cao

CoRR, 2021

Resisting Out-of-Distribution Data Problem in Perturbation of XAI.

Luyu Qiu, Yi Yang, Caleb Chen Cao, Jing Liu, Yueyuan Zheng, Hilary Hei Ting Ngai, Janet H. Hsiao, Lei Chen

CoRR, 2021

Counterfactual Explanations in Explainable AI: A Tutorial.

Cong Wang, Xiao-Hui Li, Haocheng Han, Shendi Wang, Luning Wang, Caleb Chen Cao, Lei Chen

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

An Experimental Study of Quantitative Evaluations on Saliency Methods.

Xiao-Hui Li, Yuhan Shi, Haoyang Li, Wei Bai, Caleb Chen Cao, Lei Chen

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

2020

Quantitative Evaluations on Saliency Methods: An Experimental Study.

Xiao-Hui Li, Yuhan Shi, Haoyang Li, Wei Bai, Yuanwei Song, Caleb Chen Cao, Lei Chen

CoRR, 2020

2017

Tuning Crowdsourced Human Computation.

Caleb Chen Cao, Jiayang Tu, Zheng Liu, Lei Chen, H. V. Jagadish

Proceedings of the 33rd IEEE International Conference on Data Engineering, 2017

2016

Conflict-Aware Event-Participant Arrangement and Its Variant for Online Setting.

Jieying She, Yongxin Tong, Lei Chen, Caleb Chen Cao

IEEE Trans. Knowl. Data Eng., 2016

Tuning Crowdsourced Human Computation.

Caleb Chen Cao, Zheng Liu, Lei Chen, H. V. Jagadish

CoRR, 2016

2015

CrowdTC: Crowdsourced Taxonomy Construction.

Rui Meng, Yongxin Tong, Lei Chen, Caleb Chen Cao

Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

Conflict-aware event-participant arrangement.

Jieying She, Yongxin Tong, Lei Chen, Caleb Chen Cao

Proceedings of the 31st IEEE International Conference on Data Engineering, 2015

2014

gMission: A General Spatial Crowdsourcing Platform.

Zhao Chen, Rui Fu, Ziyuan Zhao, Zheng Liu, Leihao Xia, Lei Chen, Peng Cheng, Caleb Chen Cao, Yongxin Tong, Chen Jason Zhang

Proc. VLDB Endow., 2014

CrowdMatcher: crowd-assisted schema matching.

Chen Jason Zhang, Ziyuan Zhao, Lei Chen, H. V. Jagadish, Caleb Chen Cao

Proceedings of the International Conference on Management of Data, 2014

TCS: efficient topic discovery over crowd-oriented service data.

Yongxin Tong, Caleb Chen Cao, Lei Chen

Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

From labor to trader: opinion elicitation via online crowds as a market.

Caleb Chen Cao, Lei Chen, H. V. Jagadish

Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

C-DMr: Crowd-powered Decision Maker for real world Knapsack Problems.

Leihao Xia, Caleb Chen Cao, Lei Chen, Zhao Chen

Proceedings of the IEEE 30th International Conference on Data Engineering, Chicago, 2014

CrowdCleaner: Data cleaning for multi-version data on the web via crowdsourcing.

Yongxin Tong, Caleb Chen Cao, Chen Jason Zhang, Yatao Li, Lei Chen

Proceedings of the IEEE 30th International Conference on Data Engineering, Chicago, 2014

Efficient Probabilistic Supergraph Search Over Large Uncertain Graphs.

Yongxin Tong, Xiaofei Zhang, Caleb Chen Cao, Lei Chen

Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014

2013

Reducing Uncertainty of Schema Matching via Crowdsourcing.

Chen Jason Zhang, Lei Chen, H. V. Jagadish, Caleb Chen Cao

Proc. VLDB Endow., 2013

WiseMarket: a new paradigm for managing wisdom of online social users.

Caleb Chen Cao, Yongxin Tong, Lei Chen, H. V. Jagadish

Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

2012

Whom to Ask? Jury Selection for Decision Making Tasks on Micro-blog Services.

Caleb Chen Cao, Jieying She, Yongxin Tong, Lei Chen

Proc. VLDB Endow., 2012