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2025

Conference Publication

Progressive Generalization Risk Reduction for Data-Efficient Causal Effect Estimation

Wen, Hechuan, Chen, Tong, Ye, Guanhua, Chai, Li Kheng, Sadiq, Shazia and Yin, Hongzhi (2025). Progressive Generalization Risk Reduction for Data-Efficient Causal Effect Estimation. KDD '25: The 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Toronto, Canada, 3 - 7 August 2025. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3690624.3709305

Progressive Generalization Risk Reduction for Data-Efficient Causal Effect Estimation

2025

Conference Publication

LLM-Based Semantic Augmentation for Harmful Content Detection

Meguellati, Elyas, Zeghina, Assaad, Sadiq, Shazia and Demartini, Gianluca (2025). LLM-Based Semantic Augmentation for Harmful Content Detection. Nineteenth International AAAI Conference on Web and Social Media, Copenhagen, Denmark, 23-26 June 2025. Washington, DC United States: Association for the Advancement of Artificial Intelligence (AAAI). doi: 10.1609/icwsm.v19i1.35868

LLM-Based Semantic Augmentation for Harmful Content Detection

2025

Conference Publication

Are Large Language Models Good Data Preprocessors?

Meguellati, Elyas, Pratama, Nardiena, Sadiq, Shazia and Demartini, Gianluca (2025). Are Large Language Models Good Data Preprocessors?. WWW '25: The ACM Web Conference 2025, Sydney, NSW Australia, 28 April - 2 May 2025. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3701716.3717568

Are Large Language Models Good Data Preprocessors?

2025

Conference Publication

Let the Augmentation Path Speak

Ji, Daomin, Luo, Hui, Bao, Zhifeng, Sadiq, Shazia and Culpepper, J. Shane (2025). Let the Augmentation Path Speak. New York, NY, USA: ACM. doi: 10.1145/3701716.3715183

Let the Augmentation Path Speak

2025

Conference Publication

BiasNavi: LLM-Empowered Data Bias Management

Yu, Junliang, Huynh, Jay Thai Duong, Fan, Shaoyang, Demartini, Gianluca, Chen, Tong, Yin, Hongzhi and Sadiq, Shazia (2025). BiasNavi: LLM-Empowered Data Bias Management. New York, NY, USA: ACM. doi: 10.1145/3701716.3715169

BiasNavi: LLM-Empowered Data Bias Management

2025

Conference Publication

Towards Secure and Robust Recommender Systems: A Data-Centric Perspective

Wang, Zongwei, Yu, Junliang, Chen, Tong, Yin, Hongzhi, Sadiq, Shazia and Gao, Min (2025). Towards Secure and Robust Recommender Systems: A Data-Centric Perspective. 18th International Conference on Web Search and Data Mining-WSDM, Hannover Germany, Mar 10-14, 2025. New York, NY, USA: ACM. doi: 10.1145/3701551.3703484

Towards Secure and Robust Recommender Systems: A Data-Centric Perspective

2024

Conference Publication

EMIT - event-based masked auto encoding for irregular time series

Patel, Hrishikesh, Qiu, Ruihong, Irwin, Adam, Sadiq, Shazia and Wang, Sen (2024). EMIT - event-based masked auto encoding for irregular time series. 2024 IEEE International Conference on Data Mining (ICDM), Abu Dhabi, United Arab Emirates, 9-12 December 2024. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/icdm59182.2024.00044

EMIT - event-based masked auto encoding for irregular time series

2024

Conference Publication

Influence of metadata on quality evaluation of unstructured information artefacts

Zhou, Hui, Demartini, Gianluca, Indulska, Marta and Sadiq, Shazia (2024). Influence of metadata on quality evaluation of unstructured information artefacts. The Australasian Conference on Information Systems (ACIS 2024), Canberra, ACT Australia, 4-6 December, 2024. AIS Electronic Library.

Influence of metadata on quality evaluation of unstructured information artefacts

2024

Conference Publication

Unveiling vulnerabilities of contrastive recommender systems to poisoning attacks

Wang, Zongwei, Yu, Junliang, Gao, Min, Yin, Hongzhi, Cui, Bin and Sadiq, Shazia (2024). Unveiling vulnerabilities of contrastive recommender systems to poisoning attacks. 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Barcelona, Spain, 25-29 August 2024. New York, NY, United States: ACM. doi: 10.1145/3637528.3671795

Unveiling vulnerabilities of contrastive recommender systems to poisoning attacks

2024

Conference Publication

Fairness without sensitive attributes via knowledge sharing

Ni, Hongliang, Han, Lei, Chen, Tong, Sadiq, Shazia and Demartini, Gianluca (2024). Fairness without sensitive attributes via knowledge sharing. 2024 ACM Conference on Fairness, Accountability, and Transparency, Rio de Janeiro, Brazil, 3-6 June 2024. New York, NY, United States: ACM. doi: 10.1145/3630106.3659014

Fairness without sensitive attributes via knowledge sharing

2024

Conference Publication

On the Role of Large Language Models in Crowdsourcing Misinformation Assessment

Xu, Jiechen, Han, Lei, Sadiq, Shazia and Demartini, Gianluca (2024). On the Role of Large Language Models in Crowdsourcing Misinformation Assessment. Eighteenth International AAAI Conference on Web and Social Media, Buffalo, NY United States, 3-6 June 2024. Washington, DC United States: Association for the Advancement of Artificial Intelligence (AAAI). doi: 10.1609/icwsm.v18i1.31417

On the Role of Large Language Models in Crowdsourcing Misinformation Assessment

2024

Conference Publication

How good are LLMs in generating personalized advertisements?

Meguellati, Elyas, Han, Lei, Bernstein, Abraham, Sadiq, Shazia and Demartini, Gianluca (2024). How good are LLMs in generating personalized advertisements?. WWW '24: The ACM Web Conference 2024, Singapore, 13-17 May 2024. New York, United States: Association for Computing Machinery. doi: 10.1145/3589335.3651520

How good are LLMs in generating personalized advertisements?

2024

Conference Publication

Which legal requirements are relevant to a business process? Comparing AI-driven methods as expert aid

Sai, Catherine, Sadiq, Shazia, Han, Lei, Demartini, Gianluca and Rinderle-Ma, Stefanie (2024). Which legal requirements are relevant to a business process? Comparing AI-driven methods as expert aid. 18th International Conference, RCIS 2024, Guimarães, Portugal, 14-17 May 2024. Cham, Switzerland: Springer Nature Switzerland. doi: 10.1007/978-3-031-59465-6_11

Which legal requirements are relevant to a business process? Comparing AI-driven methods as expert aid

2023

Conference Publication

Exploring data workers’ behaviours in data quality discovery

Chen, Tianwa, Demartini, Gianluca, Indulska, Marta and Sadiq, Shazia (2023). Exploring data workers’ behaviours in data quality discovery. Australasian Conferences on Information Systems 2023, Wellington, New Zealand, 5-8 December 2023. Atlanta, GA USA: Association for Information Systems.

Exploring data workers’ behaviours in data quality discovery

2023

Conference Publication

Do process analysts care about the metadata of event logs?

Zhou, Hui, Zerbato, Francesca, Weber, Barbara, Indulska, Marta and Sadiq, Shazia (2023). Do process analysts care about the metadata of event logs?. Australasian Conference on Information Systems (ACIS) 2023, Wellington, New Zealand, 5 - 8 December 2023. Atlanta, GA United States: Association for Information Systems.

Do process analysts care about the metadata of event logs?

2023

Conference Publication

To predict or to reject: causal effect estimation with uncertainty on networked data

Wen, Hechuan, Chen, Tong, Chai, Li Kheng, Sadiq, Shazia, Zheng, Kai and Yin, Hongzhi (2023). To predict or to reject: causal effect estimation with uncertainty on networked data. 23rd IEEE International Conference on Data Mining (IEEE ICDM), Shanghai, China, 1 - 4 December 2023. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/icdm58522.2023.00184

To predict or to reject: causal effect estimation with uncertainty on networked data

2023

Conference Publication

DEI Perspectives in Information Technology Education

Sadiq, Shazia (2023). DEI Perspectives in Information Technology Education. SIGMOD/PODS '23: International Conference on Management of Data, Seattle, WA United States, 18 - 23 June 2023. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3555041.3591053

DEI Perspectives in Information Technology Education

2023

Conference Publication

Diversity, Equity and Inclusion activities in database conferences: a 2022 report

Amer-Yahia, Sihem, Agrawal, Divyakant, Amsterdamer, Yael, Bhowmick, Sourav S., Bonifati, Angela, Borovica-Gajic, Renata, Camacho-Rodríguez, Jesús, Catania, Barbara, Chrysanthis, Panos K., Curino, Carlo, Darmont, Jérôme, Dobbie, Gillian, El Abbadi, Amr, Floratou, Avrilia, Freire, Juliana, Jindal, Alekh, Kalogeraki, Vana, Maiyya, Sujaya, Meliou, Alexandra, Mohanty, Madhulika, Omidvar-Tehrani, Behrooz, Özcan, Fatma, Peterfreund, Liat, Rahayu, Wenny, Sadiq, Shazia, Sellami, Sana, Sirin, Utku, Tan, Wang-Chiew, Thuraisingham, Bhavani ... Zhang, Meihui (2023). Diversity, Equity and Inclusion activities in database conferences: a 2022 report. Unknown, Unknown, Unknown. New York, NY USA: Association for Computing Machinery. doi: 10.1145/3615952.3615964

Diversity, Equity and Inclusion activities in database conferences: a 2022 report

2023

Conference Publication

Human-in-the-loop regular expression extraction for single column format inconsistency

Yu, Shaochen, Han, Lei, Indulska, Marta, Sadiq, Shazia and Demartini, Gianluca (2023). Human-in-the-loop regular expression extraction for single column format inconsistency. WWW '23: ACM Web Conference 2023, Austin, TX, United States, 30 April - 4 May 2023. New York, United States: Association for Computing Machinery. doi: 10.1145/3543507.3583515

Human-in-the-loop regular expression extraction for single column format inconsistency

2023

Conference Publication

Preface

Di Francescomarino, Chiara, Burattin, Andrea, Janiesch, Christian and Sadiq, Shazia (2023). Preface. 21st International Conference, BPM 2023, Utrecht, The Netherlands, 11–15 September 2023. Heidelberg, Germany: Springer.

Preface