Liu, Ninghao

25 publications

ICML 2025 Concept-Centric Token Interpretation for Vector-Quantized Generative Models Tianze Yang, Yucheng Shi, Mengnan Du, Xuansheng Wu, Qiaoyu Tan, Jin Sun, Ninghao Liu

NeurIPS 2025 EAP-GP: Mitigating Saturation Effect in Gradient-Based Automated Circuit Identification Lin Zhang, Wenshuo Dong, Zhuoran Zhang, Shu Yang, Lijie Hu, Ninghao Liu, Pan Zhou, Di Wang

ICLR 2025 Enhancing Cognition and Explainability of Multimodal Foundation Models with Self-Synthesized Data Yucheng Shi, Quanzheng Li, Jin Sun, Xiang Li, Ninghao Liu

TMLR 2025 Global Graph Counterfactual Explanation: A Subgraph Mapping Approach Yinhan He, Wendy Zheng, Yaochen Zhu, Jing Ma, Saumitra Mishra, Natraj Raman, Ninghao Liu, Jundong Li

AAAI 2025 Language Ranker: A Metric for Quantifying LLM Performance Across High and Low-Resource Languages Zihao Li, Yucheng Shi, Zirui Liu, Fan Yang, Ali Payani, Ninghao Liu, Mengnan Du

ICLR 2025 MQuAKE-Remastered: Multi-Hop Knowledge Editing Can Only Be Advanced with Reliable Evaluations Shaochen Zhong, Yifan Lu, Lize Shao, Bhargav Bhushanam, Xiaocong Du, Yixin Wan, Yucheng Shi, Daochen Zha, Yiwei Wang, Ninghao Liu, Kaixiong Zhou, Shuai Xu, Kai-Wei Chang, Louis Feng, Vipin Chaudhary, Xia Hu

ICLR 2025 Mutual Effort for Efficiency: A Similarity-Based Token Pruning for Vision Transformers in Self-Supervised Learning Sheng Li, Qitao Tan, Yue Dai, Zhenglun Kong, Tianyu Wang, Jun Liu, Ao Li, Ninghao Liu, Yufei Ding, Xulong Tang, Geng Yuan

AAAI 2024 Automated Natural Language Explanation of Deep Visual Neurons with Large Models (Student Abstract) Chenxu Zhao, Wei Qian, Yucheng Shi, Mengdi Huai, Ninghao Liu

AAAI 2024 BadSAM: Exploring Security Vulnerabilities of SAM via Backdoor Attacks (Student Abstract) Zihan Guan, Mengxuan Hu, Zhongliang Zhou, Jielu Zhang, Sheng Li, Ninghao Liu

ICLR 2024 Efficient Sharpness-Aware Minimization for Molecular Graph Transformer Models Yili Wang, Kaixiong Zhou, Ninghao Liu, Ying Wang, Xin Wang

ICML 2024 Improving Interpretation Faithfulness for Vision Transformers Lijie Hu, Yixin Liu, Ninghao Liu, Mengdi Huai, Lichao Sun, Di Wang

CVPR 2024 Molecular Data Programming: Towards Molecule Pseudo-Labeling with Systematic Weak Supervision Xin Juan, Kaixiong Zhou, Ninghao Liu, Tianlong Chen, Xin Wang

ICML 2024 Rethinking Independent Cross-Entropy Loss for Graph-Structured Data Rui Miao, Kaixiong Zhou, Yili Wang, Ninghao Liu, Ying Wang, Xin Wang

NeurIPS 2023 Black-Box Backdoor Defense via Zero-Shot Image Purification Yucheng Shi, Mengnan Du, Xuansheng Wu, Zihan Guan, Jin Sun, Ninghao Liu

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

ECML-PKDD 2023 ENGAGE: Explanation Guided Data Augmentation for Graph Representation Learning Yucheng Shi, Kaixiong Zhou, Ninghao Liu

AAAI 2023 Interpreting Unfairness in Graph Neural Networks via Training Node Attribution Yushun Dong, Song Wang, Jing Ma, Ninghao Liu, Jundong Li

ECML-PKDD 2023 Mitigating Algorithmic Bias with Limited Annotations Guanchu Wang, Mengnan Du, Ninghao Liu, Na Zou, Xia Ben Hu

AAAI 2023 SEAT: Stable and Explainable Attention Lijie Hu, Yixin Liu, Ninghao Liu, Mengdi Huai, Lichao Sun, Di Wang

ICLR 2022 DEGREE: Decomposition Based Explanation for Graph Neural Networks Qizhang Feng, Ninghao Liu, Fan Yang, Ruixiang Tang, Mengnan Du, Xia Hu

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

AAAI 2021 Dynamic Memory Based Attention Network for Sequential Recommendation Qiaoyu Tan, Jianwei Zhang, Ninghao Liu, Xiao Huang, Hongxia Yang, Jingren Zhou, Xia Hu

NeurIPS 2020 Learning Sparse Codes from Compressed Representations with Biologically Plausible Local Wiring Constraints Kion Fallah, Adam Willats, Ninghao Liu, Christopher Rozell

IJCAI 2018 Contextual Outlier Interpretation Ninghao Liu, Donghwa Shin, Xia Hu

IJCAI 2017 Accelerated Local Anomaly Detection via Resolving Attributed Networks Ninghao Liu, Xiao Huang, Xia Hu