PPaperPicks

Jing Ma

13 papers at tracked venues · 13 at CORE A* · active 2024–2026

Venues

Frequent coauthors

Xiang Xiang
×3
Chenhao Dang
×2
Xixiang Lyu
×2
Hanlin Li
×2
Meiting Xue
×1
Miaoqi Li
×1
Yukun Shi
×1
Yan Zeng
×1
Jilin Zhang
×1
Yuefei Chen
×1
Vivek K. Singh
×1
Ruixiang Tang
×1

Papers

  1. Breaking the Adversarial Robustness-Performance Trade-off in Text Classification via Manifold Purification
    AAAI 2026 ·
    Chenhao Dang
    , Jing Ma
  2. Class-Aware Active Annotation in Federated Semi-Supervised Learning for Medical Image Classification
    AAAI 2026 ·
    Meiting Xue
    ,
    Miaoqi Li
    ,
    Yukun Shi
    ,
    Yan Zeng
    ,
    Jilin Zhang
    , Jing Ma
  3. CounterBench: Evaluating and Improving Counterfactual Reasoning in Large Language Models
    AAAI 2026 ·
    Yuefei Chen
    ,
    Vivek K. Singh
    , Jing Ma,
    Ruixiang Tang
  4. Holistic Data Scheduler for LLM Pre-training via Multi-Objective Reinforcement Learning
    SIGKDD 2026 ·
    Chenhao Dang
    , Jing Ma,
    Mingjie Liao
  5. Natural-Language Policies to Executable Decisions: An Interpretable Large Language Model Framework
    ACL 2026 ·
    Ziqiang Zhang
    , Jing Ma,
    Zilong Wang
    ,
    Jiayuan Chen
    ,
    Yi Qiao
    ,
    Yu He
    ,
    Wei Zhang
    ,
    Dai Cheng
    ,
    Xiaoyu Shen
  6. Backdoor Token Unlearning: Exposing and Defending Backdoors in Pretrained Language Models
    AAAI 2025 ·
    Peihai Jiang
    ,
    Xixiang Lyu
    ,
    Yige Li
    , Jing Ma
  7. Decoupled Entropy Minimization
    NeurIPS 2025 · Jing Ma,
    Hanlin Li
    ,
    Xiang Xiang
  8. PTTA: Purifying Malicious Samples for Test-Time Model Adaptation
    ICML 2025 · Jing Ma,
    Hanlin Li
    ,
    Xiang Xiang
  9. VL-DynaRefine: A Vision-Language Dynamic Refinement Approach for Visual Reasoning
    ACM MM 2025 · Jing Ma,
    Haochen Sun
    ,
    Zeyuan Zang
    ,
    Fangxiang Feng
    ,
    Caixia Yuan
    ,
    Lei Ren
    ,
    Huixing Jiang
    ,
    Wei Chen
    ,
    Xiaojie Wang
  10. Aligning Logits Generatively for Principled Black-Box Knowledge Distillation
    CVPR 2024 · Jing Ma,
    Xiang Xiang
    ,
    Ke Wang
    ,
    Yuchuan Wu
    ,
    Yongbin Li
  11. Improved Self-Training for Test-Time Adaptation
    CVPR 2024 · Jing Ma
  12. Learning from Distinction: Mitigating Backdoors Using a Low-Capacity Model
    ACM MM 2024 ·
    Haosen Sun
    ,
    Yiming Li
    ,
    Xixiang Lyu
    , Jing Ma
  13. When Causal Inference Meets Graph Machine Learning
    AAAI 2024 · Jing Ma