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Ninghao Liu

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

67

Venues

20

Active years

2017–2026

Best venue rank

A*

Where they publish

Papers

67 indexed papers, newest first.

YearVenueTitleAuthors
2026AAAIAutoSCORE: Enhancing Automated Scoring with Multi-Agent Large Language Models via Structured Component Recognition.Yun Wang, Zhaojun Ding, Xuansheng Wu, Siyue Sun, Ninghao Liu, Xiaoming Zhai
2026AIEDBRIDGE the Gap: Mitigating Bias Amplification in Automated Scoring of English Language Learners via Inter-group Data Augmentation.Yun Wang, Xuansheng Wu, Jingyuan Huang, Lei Liu, Xiaoming Zhai, Ninghao Liu
2026EACLDenoising Concept Vectors with Sparse Autoencoders for Improved Language Model Steering.Haiyan Zhao, Xuansheng Wu, Fan Yang, Bo Shen, Ninghao Liu, Mengnan Du
2026PAKDDMITS: Enhanced Tree Search Reasoning for LLMs via Pointwise Mutual Information.Jiaxi Li, Yucheng Shi, Xiao Huang, Jin Lu, Ninghao Liu
2025AAAILanguage 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
2025AIEDArtificial Intelligence Bias on English Language Learners in Automatic Scoring.Shuchen Guo, Yun Wang, Jichao Yu, Xuansheng Wu, Bilgehan Ayik, Field M. Watts, Ehsan Latif, Ninghao Liu, Lei Liu, Xiaoming Zhai
2025AIEDWorkshop on Epistemics and Decision-Making in AI-Supported Education.Ehsan Latif, Ninghao Liu, Gautam Biswas, Yue Yin, Xiaoming Zhai
2025EMNLPBeyond Input Activations: Identifying Influential Latents by Gradient Sparse Autoencoders.Dong Shu, Xuansheng Wu, Haiyan Zhao, Mengnan Du, Ninghao Liu
2025EMNLPA Survey on Sparse Autoencoders: Interpreting the Internal Mechanisms of Large Language Models.Dong Shu, Xuansheng Wu, Haiyan Zhao, Daking Rai, Ziyu Yao, Ninghao Liu, Mengnan Du
2025ICLRMutual 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
2025ICLREnhancing Cognition and Explainability of Multimodal Foundation Models with Self-Synthesized Data.Yucheng Shi, Quanzheng Li, Jin Sun, Xiang Li, Ninghao Liu
2025ICLRMQuAKE-Remastered: Multi-Hop Knowledge Editing Can Only Be Advanced with Reliable Evaluations.Shaochen (Henry) 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
2025ICMLConcept-Centric Token Interpretation for Vector-Quantized Generative Models.Tianze Yang, Yucheng Shi, Mengnan Du, Xuansheng Wu, Qiaoyu Tan, Jin Sun, Ninghao Liu
2025KDDSelf-Regularization with Sparse Autoencoders for Controllable LLM-based Classification.Xuansheng Wu, Wenhao Yu, Xiaoming Zhai, Ninghao Liu
2025NAACLLMOD: A Large Multimodal Ophthalmology Dataset and Benchmark for Large Vision-Language Models.Zhenyue Qin, Yu Yin, Dylan Campbell, Xuansheng Wu, Ke Zou, Ninghao Liu, Yih Chung Tham, Xiuzhen Zhang, Qingyu Chen
2025WSDMUniGLM: Training One Unified Language Model for Text-Attributed Graphs Embedding.Yi Fang, Dongzhe Fan, Sirui Ding, Ninghao Liu, Qiaoyu Tan
2024AAAIBadSAM: Exploring Security Vulnerabilities of SAM via Backdoor Attacks (Student Abstract).Zihan Guan, Mengxuan Hu, Zhongliang Zhou, Jielu Zhang, Sheng Li, Ninghao Liu
2024AAAIAutomated Natural Language Explanation of Deep Visual Neurons with Large Models (Student Abstract).Chenxu Zhao, Wei Qian, Yucheng Shi, Mengdi Huai, Ninghao Liu
2024ACLPokeMQA: Programmable knowledge editing for Multi-hop Question Answering.Hengrui Gu, Kaixiong Zhou, Xiaotian Han, Ninghao Liu, Ruobing Wang, Xin Wang
2024ACLEnhancing Explainable Rating Prediction through Annotated Macro Concepts.Huachi Zhou, Shuang Zhou, Hao Chen, Ninghao Liu, Fan Yang, Xiao Huang
2024CIKMRetrieval-enhanced Knowledge Editing in Language Models for Multi-Hop Question Answering.Yucheng Shi, Qiaoyu Tan, Xuansheng Wu, Shaochen Zhong, Kaixiong Zhou, Ninghao Liu
2024COLINGMitigating Shortcuts in Language Models with Soft Label Encoding.Zirui He, Huiqi Deng, Haiyan Zhao, Ninghao Liu, Mengnan Du
2024CVPRMolecular Data Programming: Towards Molecule Pseudo-labeling with Systematic Weak Supervision.Xin Juan, Kaixiong Zhou, Ninghao Liu, Tianlong Chen, Xin Wang
2024ICLREfficient Sharpness-Aware Minimization for Molecular Graph Transformer Models.Yili Wang, Kaixiong Zhou, Ninghao Liu, Ying Wang, Xin Wang
2024ICMLImproving Interpretation Faithfulness for Vision Transformers.Lijie Hu, Yixin Liu, Ninghao Liu, Mengdi Huai, Lichao Sun, Di Wang
2024ICMLRethinking Independent Cross-Entropy Loss For Graph-Structured Data.Rui Miao, Kaixiong Zhou, Yili Wang, Ninghao Liu, Ying Wang, Xin Wang
2024NAACLFrom Language Modeling to Instruction Following: Understanding the Behavior Shift in LLMs after Instruction Tuning.Xuansheng Wu, Wenlin Yao, Jianshu Chen, Xiaoman Pan, Xiaoyang Wang, Ninghao Liu, Dong Yu
2024WWWCould Small Language Models Serve as Recommenders? Towards Data-centric Cold-start Recommendation.Xuansheng Wu, Huachi Zhou, Yucheng Shi, Wenlin Yao, Xiao Huang, Ninghao Liu
2023AAAIInterpreting Unfairness in Graph Neural Networks via Training Node Attribution.Yushun Dong, Song Wang, Jing Ma, Ninghao Liu, Jundong Li
2023AAAISEAT: Stable and Explainable Attention.Lijie Hu, Yixin Liu, Ninghao Liu, Mengdi Huai, Lichao Sun, Di Wang
2023AIEDMatching Exemplar as Next Sentence Prediction (MeNSP): Zero-Shot Prompt Learning for Automatic Scoring in Science Education.Xuansheng Wu, Xinyu He, Tianming Liu, Ninghao Liu, Xiaoming Zhai
2023CIKMAttacking Neural Networks with Neural Networks: Towards Deep Synchronization for Backdoor Attacks.Zihan Guan, Lichao Sun, Mengnan Du, Ninghao Liu
2023CIKMGiGaMAE: Generalizable Graph Masked Autoencoder via Collaborative Latent Space Reconstruction.Yucheng Shi, Yushun Dong, Qiaoyu Tan, Jundong Li, Ninghao Liu
2023ECAIXGBD: Explanation-Guided Graph Backdoor Detection.Zihan Guan, Mengnan Du, Ninghao Liu
2023ICDMDouble Wins: Boosting Accuracy and Efficiency of Graph Neural Networks by Reliable Knowledge Distillation.Qiaoyu Tan, Daochen Zha, Ninghao Liu, Soo-Hyun Choi, Li Li, Rui Chen, Xia Hu
2023ICMLDIVISION: Memory Efficient Training via Dual Activation Precision.Guanchu Wang, Zirui Liu, Zhimeng Jiang, Ninghao Liu, Na Zou, Xia Ben Hu
2023WSDMInternational Workshop on Learning with Knowledge Graphs: Construction, Embedding, and Reasoning.Qing Li, Xiao Huang, Ninghao Liu, Yuxiao Dong, Guansong Pang
2023WSDMS2GAE: Self-Supervised Graph Autoencoders are Generalizable Learners with Graph Masking.Qiaoyu Tan, Ninghao Liu, Xiao Huang, Soo-Hyun Choi, Li Li, Rui Chen, Xia Hu
2023WSDMBring Your Own View: Graph Neural Networks for Link Prediction with Personalized Subgraph Selection.Qiaoyu Tan, Xin Zhang, Ninghao Liu, Daochen Zha, Li Li, Rui Chen, Soo-Hyun Choi, Xia Hu
2023SDMAdaptive Label Smoothing To Regularize Large-Scale Graph Training.Kaixiong Zhou, Soo-Hyun Choi, Zirui Liu, Ninghao Liu, Fan Yang, Rui Chen, Li Li, Xia Hu
2022CIKMTutorial on Deep Learning Interpretation: A Data Perspective.Zhou Yang, Ninghao Liu, Xia Ben Hu, Fang Jin
2022CIKMAdaGCL: Adaptive Subgraph Contrastive Learning to Generalize Large-scale Graph Training.Yili Wang, Kaixiong Zhou, Rui Miao, Ninghao Liu, Xin Wang
2022ICLRDEGREE: Decomposition Based Explanation for Graph Neural Networks.Qizhang Feng, Ninghao Liu, Fan Yang, Ruixiang Tang, Mengnan Du, Xia Hu
2022ICMLG-Mixup: Graph Data Augmentation for Graph Classification.Xiaotian Han, Zhimeng Jiang, Ninghao Liu, Xia Hu
2022KDDGUIDE: Group Equality Informed Individual Fairness in Graph Neural Networks.Weihao Song, Yushun Dong, Ninghao Liu, Jundong Li
2022KDDData Science and Artificial Intelligence for Responsible Recommendations.Shoujin Wang, Ninghao Liu, Xiuzhen Zhang, Yan Wang, Francesco Ricci, Bamshad Mobasher
2022WWWEDITS: Modeling and Mitigating Data Bias for Graph Neural Networks.Yushun Dong, Ninghao Liu, Brian Jalaian, Jundong Li
2022WWWGeometric Graph Representation Learning via Maximizing Rate Reduction.Xiaotian Han, Zhimeng Jiang, Ninghao Liu, Qingquan Song, Jundong Li, Xia Hu
2022SDMUnseen Anomaly Detection on Networks via Multi-Hypersphere Learning.Shuang Zhou, Xiao Huang, Ninghao Liu, Qiaoyu Tan, Fu-Lai Chung
2021AAAIDynamic Memory based Attention Network for Sequential Recommendation.Qiaoyu Tan, Jianwei Zhang, Ninghao Liu, Xiao Huang, Hongxia Yang, Jingren Zhou, Xia Hu
2021WSDMSparse-Interest Network for Sequential Recommendation.Qiaoyu Tan, Jianwei Zhang, Jiangchao Yao, Ninghao Liu, Jingren Zhou, Hongxia Yang, Xia Hu
2020CIKMExplainable Recommender Systems via Resolving Learning Representations.Ninghao Liu, Yong Ge, Li Li, Xia Hu, Rui Chen, Soo-Hyun Choi
2020KDDAn Embarrassingly Simple Approach for Trojan Attack in Deep Neural Networks.Ruixiang Tang, Mengnan Du, Ninghao Liu, Fan Yang, Xia Hu
2020WWWLearning to Hash with Graph Neural Networks for Recommender Systems.Qiaoyu Tan, Ninghao Liu, Xing Zhao, Hongxia Yang, Jingren Zhou, Xia Hu
2020SDMDeep Neural Networks with Knowledge Instillation.Fan Yang, Ninghao Liu, Mengnan Du, Kaixiong Zhou, Shuiwang Ji, Xia Hu
2019ICDMLearning Credible Deep Neural Networks with Rationale Regularization.Mengnan Du, Ninghao Liu, Fan Yang, Xia Hu
2019IJCNNDeep Structured Cross-Modal Anomaly Detection.Yuening Li, Ninghao Liu, Jundong Li, Mengnan Du, Xia Hu
2019KDDIs a Single Vector Enough?: Exploring Node Polysemy for Network Embedding.Ninghao Liu, Qiaoyu Tan, Yuening Li, Hongxia Yang, Jingren Zhou, Xia Hu
2019PAKDDAn Interpretable Neural Model with Interactive Stepwise Influence.Yin Zhang, Ninghao Liu, Shuiwang Ji, James Caverlee, Xia Hu
2019WWWOn Attribution of Recurrent Neural Network Predictions via Additive Decomposition.Mengnan Du, Ninghao Liu, Fan Yang, Shuiwang Ji, Xia Hu
2019WSDMRepresentation Interpretation with Spatial Encoding and Multimodal Analytics.Ninghao Liu, Mengnan Du, Xia Hu
2018ICDMTowards Interpretation of Recommender Systems with Sorted Explanation Paths.Fan Yang, Ninghao Liu, Suhang Wang, Xia Hu
2018IJCAIContextual Outlier Interpretation.Ninghao Liu, Donghwa Shin, Xia Hu
2018KDDTowards Explanation of DNN-based Prediction with Guided Feature Inversion.Mengnan Du, Ninghao Liu, Qingquan Song, Xia Hu
2018KDDOn Interpretation of Network Embedding via Taxonomy Induction.Ninghao Liu, Xiao Huang, Jundong Li, Xia Hu
2018KDDAdversarial Detection with Model Interpretation.Ninghao Liu, Hongxia Yang, Xia Hu
2017IJCAIAccelerated Local Anomaly Detection via Resolving Attributed Networks.Ninghao Liu, Xiao Huang, Xia Hu