Qizhang Feng

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 14

Top Topics

Differentially Private

Structural Learning

Graph Based Algorithm

Tree Decomposition

Top Venues

ACM Trans. Knowl. Discov. Data

Publications

Qizhang Feng, Siva Rajesh Kasa, Hyokun Yun, Choon Hui Teo, Sravan Babu Bodapati
Exposing Privacy Gaps: Membership Inference Attack on Preference Data for LLM Alignment. CoRR (2024)
Jingfeng Yang, Hongye Jin, Ruixiang Tang, Xiaotian Han, Qizhang Feng, Haoming Jiang, Shaochen Zhong, Bing Yin, Xia Ben Hu
Harnessing the Power of LLMs in Practice: A Survey on ChatGPT and Beyond. ACM Trans. Knowl. Discov. Data 18 (6) (2024)
Qizhang Feng, Ninghao Liu, Fan Yang, Ruixiang Tang, Mengnan Du, Xia Hu
DEGREE: Decomposition Based Explanation For Graph Neural Networks. CoRR (2023)
Yao Rong, Guanchu Wang, Qizhang Feng, Ninghao Liu, Zirui Liu, Enkelejda Kasneci, Xia Hu
Efficient GNN Explanation via Learning Removal-based Attribution. CoRR (2023)
Qizhang Feng, Jiayi Yuan, Forhan Bin Emdad, Karim Hanna, Xia Hu, Zhe He
Can Attention Be Used to Explain EHR-Based Mortality Prediction Tasks: A Case Study on Hemorrhagic Stroke. CoRR (2023)
Ruixiang Tang, Qizhang Feng, Ninghao Liu, Fan Yang, Xia Hu
Did You Train on My Dataset? Towards Public Dataset Protection with CleanLabel Backdoor Watermarking. SIGKDD Explor. 25 (1) (2023)
Qizhang Feng, Zhimeng Stephen Jiang, Ruiquan Li, Yicheng Wang, Na Zou, Jiang Bian, Xia Hu
Fair Graph Distillation. NeurIPS (2023)
Ruixiang Tang, Qizhang Feng, Ninghao Liu, Fan Yang, Xia Hu
Did You Train on My Dataset? Towards Public Dataset Protection with Clean-Label Backdoor Watermarking. CoRR (2023)
Jingfeng Yang, Hongye Jin, Ruixiang Tang, Xiaotian Han, Qizhang Feng, Haoming Jiang, Bing Yin, Xia Hu
Harnessing the Power of LLMs in Practice: A Survey on ChatGPT and Beyond. CoRR (2023)
Qizhang Feng, Jiayi Yuan, Forhan Bin Emdad, Karim Hanna, Xia Hu, Zhe He
Can Attention Be Used to Explain EHR-Based Mortality Prediction Tasks: A Case Study on Hemorrhagic Stroke. BCB (2023)
Zhuoer Wang, Qizhang Feng, Mohinish Chatterjee, Xing Zhao, Yezi Liu, Yuening Li, Abhay Kumar Singh, Frank M. Shipman, Xia Hu, James Caverlee
RES: An Interpretable Replicability Estimation System for Research Publications. AAAI (2022)
Qizhang Feng, Mengnan Du, Na Zou, Xia Hu
Fair Machine Learning in Healthcare: A Review. CoRR (2022)
Qizhang Feng, Ninghao Liu, Fan Yang, Ruixiang Tang, Mengnan Du, Xia Hu
DEGREE: Decomposition Based Explanation for Graph Neural Networks. ICLR (2022)
Fan Yang, Qizhang Feng, Kaixiong Zhou, Jiahao Chen, Xia Hu
Differentially Private Counterfactuals via Functional Mechanism. CoRR (2022)