PPaperPicks

Bing Liu

11 papers at tracked venues · 7 at CORE A* · active 2024–2026

Venues

Frequent coauthors

Saleh Momeni
×3
Changnan Xiao
×3
Sahisnu Mazumder
×2
Alexander Politowicz
×1
Yanni Li
×1
Tihua Duan
×1
Zhi Wang
×1
Hui Li
×1
Jiangtao Cui
×1
Derda Kaymak
×1
Gyuhak Kim
×1
Tomoya Kaichi
×1

Papers

  1. Continual Out-of-Distribution Detection with Analytic Neural Collapse
    AAAI 2026 ·
    Saleh Momeni
    ,
    Changnan Xiao
    , Bing Liu
  2. Improving Out-of-Distribution Detection using Segmented Images and Cross-View Attention Fusion
    WACV 2026 ·
    Alexander Politowicz
    ,
    Sahisnu Mazumder
    , Bing Liu
  3. A Novel Key Point based MLCS Algorithm for Big Sequences Mining (Extended Abstract)
    ICDE 2025 ·
    Yanni Li
    , Bing Liu,
    Tihua Duan
    ,
    Zhi Wang
    ,
    Hui Li
    ,
    Jiangtao Cui
  4. AnaCP: Toward Upper-Bound Continual Learning via Analytic Contrastive Projection
    NeurIPS 2025 ·
    Saleh Momeni
    ,
    Changnan Xiao
    , Bing Liu
  5. Continual Learning Using a Kernel-Based Method Over Foundation Models
    AAAI 2025 ·
    Saleh Momeni
    ,
    Sahisnu Mazumder
    , Bing Liu
  6. Generalizing Reasoning Problems to Longer Lengths
    ICLR 2025 ·
    Changnan Xiao
    , Bing Liu
  7. Learning After Model Deployment
    ECAI 2025 ·
    Derda Kaymak
    ,
    Gyuhak Kim
    ,
    Tomoya Kaichi
    ,
    Tatsuya Konishi
    , Bing Liu
  8. Class Incremental Learning via Likelihood Ratio Based Task Prediction
    ICLR 2024 ·
    Haowei Lin
    ,
    Yijia Shao
    ,
    Weinan Qian
    ,
    Ningxin Pan
    ,
    Yiduo Guo
    , Bing Liu
  9. Disentangled Representations for Continual Learning: Overcoming Forgetting and Facilitating Knowledge Transfer
    ECML-PKDD 2024 ·
    Zhaopeng Xu
    ,
    Qi Qin
    , Bing Liu,
    Dongyan Zhao
  10. Replay-and-Forget-Free Graph Class-Incremental Learning: A Task Profiling and Prompting Approach
    NeurIPS 2024 ·
    Chaoxi Niu
    ,
    Guansong Pang
    ,
    Ling Chen
    , Bing Liu
  11. Sentiment Analysis in the Era of Large Language Models: A Reality Check
    NAACL 2024 ·
    Wenxuan Zhang
    ,
    Yue Deng
    , Bing Liu,
    Sinno Jialin Pan
    ,
    Lidong Bing