RES: An Interpretable Replicability Estimation System for Research Publications. - Zhuoer Wang; Qizhang Feng; Mohinish Chatterjee; Xing Zhao 003; Yezi Liu; Yuening Li; Abhay Kumar Singh; Frank M. Shipman; Xia Hu 001; James Caverlee (AAAI, 2022)

DEGREE: Decomposition Based Explanation for Graph Neural Networks. - Qizhang Feng; Ninghao Liu; Fan Yang 023; Ruixiang Tang; Mengnan Du; Xia Hu 001 (ICLR, 2022)

Fair Machine Learning in Healthcare: A Review. - Qizhang Feng; Mengnan Du; Na Zou 001; Xia Hu 001 (CoRR, 2022)

Differentially Private Counterfactuals via Functional Mechanism. - Fan Yang 023; Qizhang Feng; Kaixiong Zhou; Jiahao Chen; Xia Hu 001 (CoRR, 2022)

Can Attention Be Used to Explain EHR-Based Mortality Prediction Tasks: A Case Study on Hemorrhagic Stroke. - Qizhang Feng; Jiayi Yuan 001; Forhan Bin Emdad; Karim Hanna; Xia Hu 001; Zhe He 001 (BCB, 2023)

Fair Graph Distillation. - Qizhang Feng; Zhimeng Stephen Jiang; Ruiquan Li; Yicheng Wang; Na Zou 001; Jiang Bian 001; Xia Hu 001 (NeurIPS, 2023)

Did You Train on My Dataset? Towards Public Dataset Protection with Clean-Label Backdoor Watermarking. - Ruixiang Tang; Qizhang Feng; Ninghao Liu; Fan Yang 023; Xia Hu 001 (CoRR, 2023)

Harnessing the Power of LLMs in Practice: A Survey on ChatGPT and Beyond. - Jingfeng Yang 001; Hongye Jin; Ruixiang Tang; Xiaotian Han; Qizhang Feng; Haoming Jiang; Bing Yin; Xia Hu 001 (CoRR, 2023)

Did You Train on My Dataset? Towards Public Dataset Protection with CleanLabel Backdoor Watermarking. - Ruixiang Tang; Qizhang Feng; Ninghao Liu; Fan Yang 023; Xia Hu 001 (SIGKDD Explor., 2023)

Gradient Rewiring for Editable Graph Neural Network Training. - Zhimeng Jiang; Zirui Liu 001; Xiaotian Han; Qizhang Feng; Hongye Jin; Qiaoyu Tan; Kaixiong Zhou; Na Zou 001; Xia Ben Hu (NeurIPS, 2024)

Exposing Privacy Gaps: Membership Inference Attack on Preference Data for LLM Alignment. - Qizhang Feng; Siva Rajesh Kasa; Hyokun Yun; Choon Hui Teo; Sravan Babu Bodapati (CoRR, 2024)

Harnessing the Power of LLMs in Practice: A Survey on ChatGPT and Beyond. - Jingfeng Yang 001; Hongye Jin; Ruixiang Tang; Xiaotian Han; Qizhang Feng; Haoming Jiang; Shaochen Zhong; Bing Yin; Xia Ben Hu (ACM Trans. Knowl. Discov. Data, 2024)

Exposing Privacy Gaps: Membership Inference Attack on Preference Data for LLM Alignment. - Qizhang Feng; Siva Rajesh Kasa; Santhosh Kumar Kasa; Hyokun Yun; Choon Hui Teo; Sravan Babu Bodapati (AISTATS, 2025)

Efficient GNN Explanation via Learning Removal-based Attribution. - Yao Rong; Guanchu Wang; Qizhang Feng; Ninghao Liu; Zirui Liu 001; Enkelejda Kasneci; Xia Hu 001 (ACM Trans. Knowl. Discov. Data, 2025)

Fair Machine Learning in Healthcare: A Survey. - Qizhang Feng; Mengnan Du; Na Zou 001; Xia Ben Hu (IEEE Trans. Artif. Intell., 2025)