Qizhang Feng - RankMe

19 papers A* 4A 1Journal 13Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Efficient GNN Explanation via Learning Removal-based Attribution. ACM Trans. Knowl. Discov. Data Yao Rong, Guanchu Wang, Qizhang Feng, Ninghao Liu, Zirui Liu, Enkelejda Kasneci, Xia Hu
2025	A	`conf`	Exposing Privacy Gaps: Membership Inference Attack on Preference Data for LLM Alignment. AISTATS Qizhang Feng, Siva Rajesh Kasa, Santhosh Kumar Kasa, Hyokun Yun, Choon Hui Teo, Sravan Babu Bodapati
2025	J	`jnl`	Fair Machine Learning in Healthcare: A Survey. IEEE Trans. Artif. Intell. Qizhang Feng, Mengnan Du, Na Zou, Xia Ben Hu
2024	J	`jnl`	Exposing Privacy Gaps: Membership Inference Attack on Preference Data for LLM Alignment. CoRR Qizhang Feng, Siva Rajesh Kasa, Hyokun Yun, Choon Hui Teo, Sravan Babu Bodapati
2024	A*	`conf`	Gradient Rewiring for Editable Graph Neural Network Training. NeurIPS Zhimeng Jiang, Zirui Liu, Xiaotian Han, Qizhang Feng, Hongye Jin, Qiaoyu Tan, Kaixiong Zhou, Na Zou, Xia Ben Hu
2024	J	`jnl`	Gradient Rewiring for Editable Graph Neural Network Training. CoRR Zhimeng Jiang, Zirui Liu, Xiaotian Han, Qizhang Feng, Hongye Jin, Qiaoyu Tan, Kaixiong Zhou, Na Zou, Xia Ben Hu
2024	J	`jnl`	Harnessing the Power of LLMs in Practice: A Survey on ChatGPT and Beyond. ACM Trans. Knowl. Discov. Data Jingfeng Yang, Hongye Jin, Ruixiang Tang, Xiaotian Han, Qizhang Feng, Haoming Jiang, Shaochen Zhong, Bing Yin, Xia Ben Hu
2023	—	`conf`	Can Attention Be Used to Explain EHR-Based Mortality Prediction Tasks: A Case Study on Hemorrhagic Stroke. BCB Qizhang Feng, Jiayi Yuan, Forhan Bin Emdad, Karim Hanna, Xia Hu, Zhe He
2023	J	`jnl`	Can Attention Be Used to Explain EHR-Based Mortality Prediction Tasks: A Case Study on Hemorrhagic Stroke. CoRR Qizhang Feng, Jiayi Yuan, Forhan Bin Emdad, Karim Hanna, Xia Hu, Zhe He
2023	J	`jnl`	DEGREE: Decomposition Based Explanation For Graph Neural Networks. CoRR Qizhang Feng, Ninghao Liu, Fan Yang, Ruixiang Tang, Mengnan Du, Xia Hu
2023	J	`jnl`	Did You Train on My Dataset? Towards Public Dataset Protection with Clean-Label Backdoor Watermarking. CoRR Ruixiang Tang, Qizhang Feng, Ninghao Liu, Fan Yang, Xia Hu
2023	J	`jnl`	Did You Train on My Dataset? Towards Public Dataset Protection with CleanLabel Backdoor Watermarking. SIGKDD Explor. Ruixiang Tang, Qizhang Feng, Ninghao Liu, Fan Yang, Xia Hu
2023	J	`jnl`	Efficient GNN Explanation via Learning Removal-based Attribution. CoRR Yao Rong, Guanchu Wang, Qizhang Feng, Ninghao Liu, Zirui Liu, Enkelejda Kasneci, Xia Ben Hu
2023	A*	`conf`	Fair Graph Distillation. NeurIPS Qizhang Feng, Zhimeng Stephen Jiang, Ruiquan Li, Yicheng Wang, Na Zou, Jiang Bian, Xia Hu
2023	J	`jnl`	Harnessing the Power of LLMs in Practice: A Survey on ChatGPT and Beyond. CoRR Jingfeng Yang, Hongye Jin, Ruixiang Tang, Xiaotian Han, Qizhang Feng, Haoming Jiang, Bing Yin, Xia Hu
2022	A*	`conf`	DEGREE: Decomposition Based Explanation for Graph Neural Networks. ICLR Qizhang Feng, Ninghao Liu, Fan Yang, Ruixiang Tang, Mengnan Du, Xia Hu
2022	J	`jnl`	Differentially Private Counterfactuals via Functional Mechanism. CoRR Fan Yang, Qizhang Feng, Kaixiong Zhou, Jiahao Chen, Xia Hu
2022	J	`jnl`	Fair Machine Learning in Healthcare: A Review. CoRR Qizhang Feng, Mengnan Du, Na Zou, Xia Hu
2022	A*	`conf`	RES: An Interpretable Replicability Estimation System for Research Publications. AAAI Zhuoer Wang, Qizhang Feng, Mohinish Chatterjee, Xing Zhao, Yezi Liu, Yuening Li, Abhay Kumar Singh, Frank M. Shipman III, Xia Hu, James Caverlee