PPaperPicks

Ninghao Liu

Hong Kong Polytechnic University, Hong Kong

24 papers at tracked venues · 17 at CORE A* · active 2024–2026

Venues

Frequent coauthors

Xuansheng Wu
×10
Yucheng Shi
×7
Kaixiong Zhou
×6
Mengnan Du
×5
Xin Wang
×4
Haiyan Zhao
×3
Fan Yang
×3
Qiaoyu Tan
×3
Xiaoming Zhai
×2
Dong Shu
×2
Jin Sun
×2
Lijie Hu
×2

Papers

  1. AutoSCORE: Enhancing Automated Scoring with Multi-Agent Large Language Models via Structured Component Recognition
    AAAI 2026 ·
    Yun Wang
    ,
    Zhaojun Ding
    ,
    Xuansheng Wu
    ,
    Siyue Sun
    , Ninghao Liu,
    Xiaoming Zhai
  2. Denoising Concept Vectors with Sparse Autoencoders for Improved Language Model Steering
    EACL 2026 ·
    Haiyan Zhao
    ,
    Xuansheng Wu
    ,
    Fan Yang
    ,
    Bo Shen
    , Ninghao Liu,
    Mengnan Du
  3. A Survey on Sparse Autoencoders: Interpreting the Internal Mechanisms of Large Language Models
    EMNLP 2025 ·
    Dong Shu
    ,
    Xuansheng Wu
    ,
    Haiyan Zhao
    ,
    Daking Rai
    ,
    Ziyu Yao
    , Ninghao Liu,
    Mengnan Du
  4. Beyond Input Activations: Identifying Influential Latents by Gradient Sparse Autoencoders
    EMNLP 2025 ·
    Dong Shu
    ,
    Xuansheng Wu
    ,
    Haiyan Zhao
    ,
    Mengnan Du
    , Ninghao Liu
  5. Concept-Centric Token Interpretation for Vector-Quantized Generative Models
    ICML 2025 ·
    Tianze Yang
    ,
    Yucheng Shi
    ,
    Mengnan Du
    ,
    Xuansheng Wu
    ,
    Qiaoyu Tan
    ,
    Jin Sun
    , Ninghao Liu
  6. EAP-GP: Mitigating Saturation Effect in Gradient-based Automated Circuit Identification
    NeurIPS 2025 ·
    Lin Zhang
    ,
    Wenshuo Dong
    ,
    Zhuoran Zhang
    ,
    Shu Yang
    ,
    Lijie Hu
    , Ninghao Liu,
    Pan Zhou
    ,
    Di Wang
  7. Enhancing Cognition and Explainability of Multimodal Foundation Models with Self-Synthesized Data
    ICLR 2025 ·
    Yucheng Shi
    ,
    Quanzheng Li
    ,
    Jin Sun
    ,
    Xiang Li
    , Ninghao Liu
  8. LMOD: A Large Multimodal Ophthalmology Dataset and Benchmark for Large Vision-Language Models
    NAACL 2025 ·
    Zhenyue Qin
    ,
    Yu Yin
    ,
    Dylan Campbell
    ,
    Xuansheng Wu
    ,
    Ke Zou
    , Ninghao Liu,
    Yih Chung Tham
    ,
    Xiuzhen Zhang
    ,
    Qingyu Chen
  9. Language Ranker: A Metric for Quantifying LLM Performance Across High and Low-Resource Languages
    AAAI 2025 ·
    Zihao Li
    ,
    Yucheng Shi
    ,
    Zirui Liu
    ,
    Fan Yang
    ,
    Ali Payani
    , Ninghao Liu,
    Mengnan Du
  10. MQuAKE-Remastered: Multi-Hop Knowledge Editing Can Only Be Advanced with Reliable Evaluations
    ICLR 2025 ·
    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
  11. Mutual Effort for Efficiency: A Similarity-based Token Pruning for Vision Transformers in Self-Supervised Learning
    ICLR 2025 ·
    Sheng Li
    ,
    Qitao Tan
    ,
    Yue Dai
    ,
    Zhenglun Kong
    ,
    Tianyu Wang
    ,
    Jun Liu
    ,
    Ao Li
    , Ninghao Liu,
    Yufei Ding
    ,
    Xulong Tang
    ,
    Geng Yuan
  12. Self-Regularization with Sparse Autoencoders for Controllable LLM-based Classification
    SIGKDD 2025 ·
    Xuansheng Wu
    ,
    Wenhao Yu
    ,
    Xiaoming Zhai
    , Ninghao Liu
  13. UniGLM: Training One Unified Language Model for Text-Attributed Graphs Embedding
    WSDM 2025 ·
    Yi Fang
    ,
    Dongzhe Fan
    ,
    Sirui Ding
    , Ninghao Liu,
    Qiaoyu Tan
  14. Automated Natural Language Explanation of Deep Visual Neurons with Large Models (Student Abstract)
    AAAI 2024 ·
    Chenxu Zhao
    ,
    Wei Qian
    ,
    Yucheng Shi
    ,
    Mengdi Huai
    , Ninghao Liu
  15. BadSAM: Exploring Security Vulnerabilities of SAM via Backdoor Attacks (Student Abstract)
    AAAI 2024 ·
    Zihan Guan
    ,
    Mengxuan Hu
    ,
    Zhongliang Zhou
    ,
    Jielu Zhang
    ,
    Sheng Li
    , Ninghao Liu
  16. Could Small Language Models Serve as Recommenders? Towards Data-centric Cold-start Recommendation
    WWW 2024 ·
    Xuansheng Wu
    ,
    Huachi Zhou
    ,
    Yucheng Shi
    ,
    Wenlin Yao
    ,
    Xiao Huang
    , Ninghao Liu
  17. Efficient Sharpness-Aware Minimization for Molecular Graph Transformer Models
    ICLR 2024 ·
    Yili Wang
    ,
    Kaixiong Zhou
    , Ninghao Liu,
    Ying Wang
    ,
    Xin Wang
  18. Enhancing Explainable Rating Prediction through Annotated Macro Concepts
    ACL 2024 ·
    Huachi Zhou
    ,
    Shuang Zhou
    ,
    Hao Chen
    , Ninghao Liu,
    Fan Yang
    ,
    Xiao Huang
  19. From Language Modeling to Instruction Following: Understanding the Behavior Shift in LLMs after Instruction Tuning
    NAACL 2024 ·
    Xuansheng Wu
    ,
    Wenlin Yao
    ,
    Jianshu Chen
    ,
    Xiaoman Pan
    ,
    Xiaoyang Wang
    , Ninghao Liu,
    Dong Yu
  20. Improving Interpretation Faithfulness for Vision Transformers
    ICML 2024 ·
    Lijie Hu
    ,
    Yixin Liu
    , Ninghao Liu,
    Mengdi Huai
    ,
    Lichao Sun
    ,
    Di Wang
  21. Molecular Data Programming: Towards Molecule Pseudo-labeling with Systematic Weak Supervision
    CVPR 2024 ·
    Xin Juan
    ,
    Kaixiong Zhou
    , Ninghao Liu,
    Tianlong Chen
    ,
    Xin Wang
  22. PokeMQA: Programmable knowledge editing for Multi-hop Question Answering
    ACL 2024 ·
    Hengrui Gu
    ,
    Kaixiong Zhou
    ,
    Xiaotian Han
    , Ninghao Liu,
    Ruobing Wang
    ,
    Xin Wang
  23. Rethinking Independent Cross-Entropy Loss For Graph-Structured Data
    ICML 2024 ·
    Rui Miao
    ,
    Kaixiong Zhou
    ,
    Yili Wang
    , Ninghao Liu,
    Ying Wang
    ,
    Xin Wang
  24. Retrieval-enhanced Knowledge Editing in Language Models for Multi-Hop Question Answering
    CIKM 2024 ·
    Yucheng Shi
    ,
    Qiaoyu Tan
    ,
    Xuansheng Wu
    ,
    Shaochen Zhong
    ,
    Kaixiong Zhou
    , Ninghao Liu