PPaperPicks

Zheng Huang

8 papers at tracked venues · 4 at CORE A* · active 2024–2026

Venues

Frequent coauthors

Aosong Feng
×2
Yujun Yan
×2
Kiran Ramnath
×1
Yueyan Chen
×1
Sangmin Woo
×1
Balasubramaniam Srinivasan
×1
Zhichao Xu
×1
Kang Zhou
×1
Shuai Wang
×1
Haibo Ding
×1
Lin Lee Cheong
×1
Meng Pang
×1

Papers

  1. Diffusion Language Model Inference with Monte Carlo Tree Search
    EACL 2026 · Zheng Huang,
    Kiran Ramnath
    ,
    Yueyan Chen
    ,
    Aosong Feng
    ,
    Sangmin Woo
    ,
    Balasubramaniam Srinivasan
    ,
    Zhichao Xu
    ,
    Kang Zhou
    ,
    Shuai Wang
    ,
    Haibo Ding
    ,
    Lin Lee Cheong
  2. Breaking Data Silos in Parkinson's Disease Diagnosis: An Adaptive Federated Learning Approach for Privacy-Preserving Facial Expression Analysis
    AAAI 2025 ·
    Meng Pang
    ,
    Houwei Xu
    , Zheng Huang,
    Yintao Zhou
    ,
    Wei Huang
    ,
    Binghui Wang
  3. Exploring the Explainability of Time Series Clustering: A Review of Methods and Practices
    WSDM 2025 · Zheng Huang,
    Hao Hao
    ,
    Lun Du
  4. MindLLM: A Subject-Agnostic and Versatile Model for fMRI-to-text Decoding
    ICML 2025 ·
    Weikang Qiu
    , Zheng Huang,
    Haoyu Hu
    ,
    Aosong Feng
    ,
    Yujun Yan
    ,
    Rex Ying
  5. Omni-R1: Reinforcement Learning for Omnimodal Reasoning via Two-System Collaboration
    NeurIPS 2025 ·
    Hao Zhong
    ,
    Muzhi Zhu
    ,
    Zongze Du
    , Zheng Huang,
    Canyu Zhao
    ,
    Mingyu Liu
    ,
    Wen Wang
    ,
    Hao Chen
    ,
    Chunhua Shen
  6. TopoLiDM: Topology-Aware LiDAR Diffusion Models for Interpretable and Realistic LiDAR Point Cloud Generation
    IROS 2025 ·
    Jiuming Liu
    , Zheng Huang,
    Mengmeng Liu
    ,
    Tianchen Deng
    ,
    Francesco Nex
    ,
    Hao Cheng
    ,
    Hesheng Wang
  7. Enhancing Size Generalization in Graph Neural Networks through Disentangled Representation Learning
    ICML 2024 · Zheng Huang,
    Qihui Yang
    ,
    Dawei Zhou
    ,
    Yujun Yan
  8. Fuzzy Clustered Federated Learning Under Mixed Data Distributions
    AAMAS 2024 ·
    Peng Tang
    ,
    Lifan Wang
    ,
    Weidong Qiu
    , Zheng Huang,
    Qiangmin Wang