Ninghao Liu

2025

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UniGLM: Training One Unified Language Model for Text-Attributed Graphs Embedding.
Yi Fang|Dongzhe Fan|Sirui Ding|Ninghao Liu|Qiaoyu Tan
Proceedings of the Eighteenth ACM International Conference on Web Search and Data Mining, WSDM 2025, Hannover, Germany, March 10-14, 2025

2024

doi dblp
Explainability for Large Language Models: A Survey.
Haiyan Zhao|Hanjie Chen|Fan Yang|Ninghao Liu|Huiqi Deng|Hengyi Cai|Shuaiqiang Wang|Dawei Yin|Mengnan Du
ACM Transactions on Intelligent Systems and Technology (TIST) 2024 Volume 15 Issue 2
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Using Neural and Graph Neural Recommender Systems to Overcome Choice Overload: Evidence From a Music Education Platform.
Hédi Razgallah|Michalis Vlachos|Ahmad Ajalloeian|Ninghao Liu|Johannes Schneider|Alexis Steinmann
ACM Transactions on Information Systems (TOIS) 2024 Volume 42 Issue 4
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DIRECT: Dual Interpretable Recommendation with Multi-aspect Word Attribution.
Xuansheng Wu|Hanqin Wan|Qiaoyu Tan|Wenlin Yao|Ninghao Liu
ACM Transactions on Intelligent Systems and Technology (TIST) 2024 Volume 15 Issue 5
doi dblp
Retrieval-enhanced Knowledge Editing in Language Models for Multi-Hop Question Answering.
Yucheng Shi|Qiaoyu Tan|Xuansheng Wu|Shaochen Zhong|Kaixiong Zhou|Ninghao Liu
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, CIKM 2024, Boise, ID, USA, October 21-25, 2024
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Could Small Language Models Serve as Recommenders? Towards Data-centric Cold-start Recommendation.
Xuansheng Wu|Huachi Zhou|Yucheng Shi|Wenlin Yao|Xiao Huang|Ninghao Liu
Proceedings of the ACM on Web Conference 2024, WWW 2024, Singapore, May 13-17, 2024

2023

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Attacking Neural Networks with Neural Networks: Towards Deep Synchronization for Backdoor Attacks.
Zihan Guan|Lichao Sun|Mengnan Du|Ninghao Liu
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, CIKM 2023, Birmingham, United Kingdom, October 21-25, 2023
doi dblp
GiGaMAE: Generalizable Graph Masked Autoencoder via Collaborative Latent Space Reconstruction.
Yucheng Shi|Yushun Dong|Qiaoyu Tan|Jundong Li|Ninghao Liu
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, CIKM 2023, Birmingham, United Kingdom, October 21-25, 2023
doi dblp
International Workshop on Learning with Knowledge Graphs: Construction, Embedding, and Reasoning.
Qing Li|Xiao Huang|Ninghao Liu|Yuxiao Dong|Guansong Pang
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, WSDM 2023, Singapore, 27 February 2023 - 3 March 2023.
doi dblp
S2GAE: 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
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, WSDM 2023, Singapore, 27 February 2023 - 3 March 2023.
doi dblp
Bring 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
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, WSDM 2023, Singapore, 27 February 2023 - 3 March 2023.

2022

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Tutorial on Deep Learning Interpretation: A Data Perspective.
Zhou Yang|Ninghao Liu|Xia Ben Hu|Fang Jin
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, Atlanta, GA, USA, October 17-21, 2022
doi dblp
AdaGCL: Adaptive Subgraph Contrastive Learning to Generalize Large-scale Graph Training.
Yili Wang|Kaixiong Zhou|Rui Miao|Ninghao Liu|Xin Wang
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, Atlanta, GA, USA, October 17-21, 2022
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EDITS: Modeling and Mitigating Data Bias for Graph Neural Networks.
Yushun Dong|Ninghao Liu|Brian Jalaian|Jundong Li
WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25 - 29, 2022
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Geometric Graph Representation Learning via Maximizing Rate Reduction.
Xiaotian Han|Zhimeng Jiang|Ninghao Liu|Qingquan Song|Jundong Li|Xia Hu
WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25 - 29, 2022

2021

doi dblp
Sparse-Interest Network for Sequential Recommendation.
Qiaoyu Tan|Jianwei Zhang|Jiangchao Yao|Ninghao Liu|Jingren Zhou|Hongxia Yang|Xia Hu
WSDM '21, The Fourteenth ACM International Conference on Web Search and Data Mining, Virtual Event, Israel, March 8-12, 2021

2020

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Explainable Recommender Systems via Resolving Learning Representations.
Ninghao Liu|Yong Ge|Li Li|Xia Hu|Rui Chen|Soo-Hyun Choi
CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, Virtual Event, Ireland, October 19-23, 2020
doi dblp
Learning to Hash with Graph Neural Networks for Recommender Systems.
Qiaoyu Tan|Ninghao Liu|Xing Zhao|Hongxia Yang|Jingren Zhou|Xia Hu
WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020

2019

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Representation Interpretation with Spatial Encoding and Multimodal Analytics.
Ninghao Liu|Mengnan Du|Xia Hu
Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, WSDM 2019, Melbourne, VIC, Australia, February 11-15, 2019
doi dblp
On Attribution of Recurrent Neural Network Predictions via Additive Decomposition.
Mengnan Du|Ninghao Liu|Fan Yang|Shuiwang Ji|Xia Hu
The World Wide Web Conference, WWW 2019, San Francisco, CA, USA, May 13-17, 2019