Jiang, Zhimeng

20 publications

TMLR 2025 Counterfactual Fairness on Graphs: Augmentations, Hidden Confounders, and Identifiability Hongyi Ling, Zhimeng Jiang, Na Zou, Shuiwang Ji

ICML 2025 On Explaining Equivariant Graph Networks via Improved Relevance Propagation Hongyi Ling, Haiyang Yu, Zhimeng Jiang, Na Zou, Shuiwang Ji

ICML 2025 Understanding and Mitigating Memorization in Diffusion Models for Tabular Data Zhengyu Fang, Zhimeng Jiang, Huiyuan Chen, Xiao Li, Jing Li

CPAL 2025 You Only Debias Once: Towards Flexible Accuracy-Fairness Trade-Offs at Inference Time Xiaotian Han, Tianlong Chen, Kaixiong Zhou, Zhimeng Jiang, Zhangyang Wang, Xia Hu

AAAI 2024 Chasing Fairness in Graphs: A GNN Architecture Perspective Zhimeng Jiang, Xiaotian Han, Chao Fan, Zirui Liu, Na Zou, Ali Mostafavi, Xia Hu

ICML 2024 GNNs Also Deserve Editing, and They Need It More than Once Shaochen Zhong, Duy Le, Zirui Liu, Zhimeng Jiang, Andrew Ye, Jiamu Zhang, Jiayi Yuan, Kaixiong Zhou, Zhaozhuo Xu, Jing Ma, Shuai Xu, Vipin Chaudhary, Xia Hu

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

ICML 2024 LLM Maybe LongLM: SelfExtend LLM Context Window Without Tuning Hongye Jin, Xiaotian Han, Jingfeng Yang, Zhimeng Jiang, Zirui Liu, Chia-Yuan Chang, Huiyuan Chen, Xia Hu

NeurIPS 2023 Chasing Fairness Under Distribution Shift: A Model Weight Perturbation Approach Zhimeng Jiang, Xiaotian Han, Hongye Jin, Guanchu Wang, Rui Chen, Na Zou, Xia Hu

ICML 2023 DIVISION: Memory Efficient Training via Dual Activation Precision Guanchu Wang, Zirui Liu, Zhimeng Jiang, Ninghao Liu, Na Zou, Xia Hu

TMLR 2023 DSpar: An Embarrassingly Simple Strategy for Efficient GNN Training and Inference via Degree-Based Sparsification Zirui Liu, Kaixiong Zhou, Zhimeng Jiang, Li Li, Rui Chen, Soo-Hyun Choi, Xia Hu

NeurIPS 2023 Fair Graph Distillation Qizhang Feng, Zhimeng Jiang, Ruiquan Li, Yicheng Wang, Na Zou, Jiang Bian, Xia Hu

ICML 2023 Graph Mixup with Soft Alignments Hongyi Ling, Zhimeng Jiang, Meng Liu, Shuiwang Ji, Na Zou

ICLR 2023 Learning Fair Graph Representations via Automated Data Augmentations Hongyi Ling, Zhimeng Jiang, Youzhi Luo, Shuiwang Ji, Na Zou

IJCAI 2023 Probabilistic Masked Attention Networks for Explainable Sequential Recommendation Huiyuan Chen, Kaixiong Zhou, Zhimeng Jiang, Chin-Chia Michael Yeh, Xiaoting Li, Menghai Pan, Yan Zheng, Xia Hu, Hao Yang

TMLR 2023 Retiring $\Delta \text{DP}$: New Distribution-Level Metrics for Demographic Parity Xiaotian Han, Zhimeng Jiang, Hongye Jin, Zirui Liu, Na Zou, Qifan Wang, Xia Hu

NeurIPS 2023 Winner-Take-All Column Row Sampling for Memory Efficient Adaptation of Language Model Zirui Liu, Guanchu Wang, Shaochen Zhong, Zhaozhuo Xu, Daochen Zha, Ruixiang Tang, Zhimeng Jiang, Kaixiong Zhou, Vipin Chaudhary, Shuai Xu, Xia Hu

ICLR 2022 An Information Fusion Approach to Learning with Instance-Dependent Label Noise Zhimeng Jiang, Kaixiong Zhou, Zirui Liu, Li Li, Rui Chen, Soo-Hyun Choi, Xia Hu

ICML 2022 G-Mixup: Graph Data Augmentation for Graph Classification Xiaotian Han, Zhimeng Jiang, Ninghao Liu, Xia Hu

ICLR 2022 Generalized Demographic Parity for Group Fairness Zhimeng Jiang, Xiaotian Han, Chao Fan, Fan Yang, Ali Mostafavi, Xia Hu