Whom to Ask? Jury Selection for Decision Making Tasks on Micro-blog Services. - Caleb Chen Cao; Jieying She; Yongxin Tong; Lei Chen 002 (Proc. VLDB Endow., 2012)

WiseMarket: a new paradigm for managing wisdom of online social users. - Caleb Chen Cao; Yongxin Tong; Lei Chen 002; H. V. Jagadish (KDD, 2013)

Reducing Uncertainty of Schema Matching via Crowdsourcing. - Chen Jason Zhang; Lei Chen 002; H. V. Jagadish; Caleb Chen Cao (Proc. VLDB Endow., 2013)

Efficient Probabilistic Supergraph Search Over Large Uncertain Graphs. - Yongxin Tong; Xiaofei Zhang 002; Caleb Chen Cao; Lei Chen 002 (CIKM, 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 002 (ICDE, 2014)

C-DMr: Crowd-powered Decision Maker for real world Knapsack Problems. - Leihao Xia; Caleb Chen Cao; Lei Chen 002; Zhao Chen 003 (ICDE, 2014)

From labor to trader: opinion elicitation via online crowds as a market. - Caleb Chen Cao; Lei Chen 002; H. V. Jagadish (KDD, 2014)

TCS: efficient topic discovery over crowd-oriented service data. - Yongxin Tong; Caleb Chen Cao; Lei Chen 002 (KDD, 2014)

CrowdMatcher: crowd-assisted schema matching. - Chen Jason Zhang; Ziyuan Zhao; Lei Chen 002; H. V. Jagadish; Caleb Chen Cao (SIGMOD Conference, 2014)

gMission: A General Spatial Crowdsourcing Platform. - Zhao Chen 003; Rui Fu; Ziyuan Zhao; Zheng Liu 011; Leihao Xia; Lei Chen 002; Peng Cheng 003; Caleb Chen Cao; Yongxin Tong; Chen Jason Zhang (Proc. VLDB Endow., 2014)

Conflict-aware event-participant arrangement. - Jieying She; Yongxin Tong; Lei Chen 002; Caleb Chen Cao (ICDE, 2015)

CrowdTC: Crowdsourced Taxonomy Construction. - Rui Meng; Yongxin Tong; Lei Chen 002; Caleb Chen Cao (ICDM, 2015)

Tuning Crowdsourced Human Computation. - Caleb Chen Cao; Zheng Liu 011; Lei Chen 002; H. V. Jagadish (CoRR, 2016)

Conflict-Aware Event-Participant Arrangement and Its Variant for Online Setting. - Jieying She; Yongxin Tong; Lei Chen 002; Caleb Chen Cao (IEEE Trans. Knowl. Data Eng., 2016)

Tuning Crowdsourced Human Computation. - Caleb Chen Cao; Jiayang Tu; Zheng Liu 011; Lei Chen 002; H. V. Jagadish (ICDE, 2017)

Quantitative Evaluations on Saliency Methods: An Experimental Study. - Xiao-Hui Li 009; Yuhan Shi; Haoyang Li 002; Wei Bai; Yuanwei Song; Caleb Chen Cao; Lei Chen 002 (CoRR, 2020)

An Experimental Study of Quantitative Evaluations on Saliency Methods. - Xiao-Hui Li 009; Yuhan Shi; Haoyang Li 002; Wei Bai; Caleb Chen Cao; Lei Chen 002 (KDD, 2021)

Counterfactual Explanations in Explainable AI: A Tutorial. - Cong Wang; Xiao-Hui Li 009; Haocheng Han; Shendi Wang; Luning Wang; Caleb Chen Cao; Lei Chen 002 (KDD, 2021)

Resisting Out-of-Distribution Data Problem in Perturbation of XAI. - Luyu Qiu; Yi Yang 090; Caleb Chen Cao; Jing Liu; Yueyuan Zheng; Hilary Hei Ting Ngai; Janet H. Hsiao; Lei Chen 002 (CoRR, 2021)

Roadmap of Designing Cognitive Metrics for Explainable Artificial Intelligence (XAI). - Janet Hui-wen Hsiao; Hilary Hei Ting Ngai; Luyu Qiu; Yi Yang 090; Caleb Chen Cao (CoRR, 2021)

GCF-RD: A Graph-based Contrastive Framework for Semi-Supervised Learning on Relational Databases. - Runjin Chen; Tong Li 017; Yanyan Shen; Luyu Qiu; Kaidi Li; Caleb Chen Cao (CIKM, 2022)

On Glocal Explainability of Graph Neural Networks. - Ge Lv; Lei Chen 002; Caleb Chen Cao (DASFAA (1), 2022)

HSI: Human Saliency Imitator for Benchmarking Saliency-Based Model Explanations. - Yi Yang 090; Yueyuan Zheng; Didan Deng; Jindi Zhang; Yongxiang Huang; Yumeng Yang; Janet H. Hsiao; Caleb Chen Cao (HCOMP, 2022)

Tower Bridge Net (TB-Net): Bidirectional Knowledge Graph Aware Embedding Propagation for Explainable Recommender Systems. - Shendi Wang; Haoyang Li 002; Caleb Chen Cao; Xiao-Hui Li 009; Ng Ngai Fai; Jianxin Liu; Xun Xue; Hu Song; Jinyu Li; Guangye Gu; Lei Chen 002 (ICDE, 2022)

Generating Perturbation-based Explanations with Robustness to Out-of-Distribution Data. - Luyu Qiu; Yi Yang 090; Caleb Chen Cao; Yueyuan Zheng; Hilary Hei Ting Ngai; Janet Hui-wen Hsiao; Lei Chen 002 (WWW, 2022)

Example Perplexity. - Nevin L. Zhang; Weiyan Xie; Zhi Lin; Guanfang Dong; Xiao-Hui Li 009; Caleb Chen Cao; Yunpeng Wang (CoRR, 2022)

A Survey of Data-Driven and Knowledge-Aware eXplainable AI. - Xiao-Hui Li 009; Caleb Chen Cao; Yuhan Shi; Wei Bai; Han Gao; Luyu Qiu; Cong Wang; Yuanyuan Gao; Shenjia Zhang; Xun Xue; Lei Chen 002 (IEEE Trans. Knowl. Data Eng., 2022)

Towards Fine-Grained Explainability for Heterogeneous Graph Neural Network. - Tong Li 017; Jiale Deng; Yanyan Shen; Luyu Qiu; Yongxiang Huang; Caleb Chen Cao (AAAI, 2023)

Model Debiasing via Gradient-based Explanation on Representation. - Jindi Zhang; Luning Wang; Dan Su 003; Yongxiang Huang; Caleb Chen Cao; Lei Chen 002 (AIES, 2023)

ViT-CX: Causal Explanation of Vision Transformers. - Weiyan Xie; Xiao-Hui Li 009; Caleb Chen Cao; Nevin L. Zhang (IJCAI, 2023)

Two-stage holistic and contrastive explanation of image classification. - Weiyan Xie; Xiao-Hui Li 009; Zhi Lin; Leonard K. M. Poon; Caleb Chen Cao; Nevin L. Zhang (UAI, 2023)

Explanation Strategies for Image Classification in Humans vs. Current Explainable AI. - Ruoxi Qi; Yueyuan Zheng; Yi Yang 090; Caleb Chen Cao; Janet H. Hsiao (CoRR, 2023)

Contrastive Domain Generalization via Logit Attribution Matching. - Han Gao; Kaican Li; Yongxiang Huang; Luning Wang; Caleb Chen Cao; Nevin L. Zhang (CoRR, 2023)

Consistency Regularization for Domain Generalization with Logit Attribution Matching. - Han Gao; Kaican Li; Weiyan Xie; Zhi Lin; Yongxiang Huang; Luning Wang; Caleb Chen Cao; Nevin L. Zhang (UAI, 2024)

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 001; Wei Chen 001 (IEEE Trans. Vis. Comput. Graph., 2024)

Visual Diagnostics of Parallel Performance in Training Large-Scale DNN Models. - Yating Wei; Zhiyong Wang; Zhongwei Wang; Yong Dai; Gongchang Ou; Han Gao; Haitao Yang; Yue Wang; Caleb Chen Cao; Luoxuan Weng; Jiaying Lu 005; Rongchen Zhu; et al. (IEEE Trans. Vis. Comput. Graph., 2024)

Scenario, Role, and Persona: A Scoping Review of Design Strategies for Socially Intelligent AI Agents. - Ruowen Niu; Jiaxiong Hu; Siyu Peng; Caleb Chen Cao; Chengzhong Liu; Sirui Han; Yike Guo (CHI Extended Abstracts, 2025)

FeVisQA: Free-Form Question Answering over Data Visualizations. - Yuanfeng Song; Jinwei Lu; Yuanwei Song; Caleb Chen Cao; Raymond Chi-Wing Wong; Haodi Zhang (ICDE, 2025)

FQora: Towards Fair and Quality-based Online Data Marketplace. - Songyue Guo; Maocheng Li; Zhao Chen 003; Caleb Chen Cao; Lei Chen 002 (WWW (Companion Volume), 2025)

CPWS: Confident Programmatic Weak Supervision for High-Quality Data Labeling. - Shulan Ruan; Huijie Liu; Zhao Chen 003; Bin Feng; Kun Zhang 015; Caleb Chen Cao; Enhong Chen; Lei Chen 002 (ACM Trans. Inf. Syst., 2025)