publications

2024

  1. Web2Code: A Large-scale Webpage-to-Code Dataset and Evaluation Framework for Multimodal LLMs
    Sukmin Yun ,  Haokun Lin ,  Rusiru Thushara ,  Mohammad Qazim Bhat ,  Yongxin Wang ,  Zutao Jiang ,  Mingkai Deng ,  Jinhong Wang ,  Tianhua TaoJunbo Li ,  and  others
    NeurIPS Datasets and Benchmarks Track, 2024
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    Crystal: Illuminating LLM Abilities on Language and Code
    Tianhua TaoJunbo LiBowen TanHongyi Wang ,  William Marshall ,  Bhargav M Kanakiya ,  Joel Hestness ,  Natalia Vassilieva ,  Zhiqiang ShenEric P. Xing ,  and  Zhengzhong Liu
    Conference on Language Modeling, 2024
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    LLM360: Towards Fully Transparent Open-Source LLMs
    Zhengzhong Liu ,  Aurick Qiao ,  Willie NeiswangerHongyi WangBowen TanTianhua TaoJunbo Li ,  Yuqi Wang ,  Suqi Sun ,  Omkar Pangarkar ,  Richard Fan ,  Yi Gu ,  Victor Miller ,  Yonghao Zhuang ,  Guowei He ,  Haonan Li ,  Fajri Koto ,  Liping Tang ,  Nikhil Ranjan ,  Zhiqiang Shen ,  Xuguang Ren ,  Roberto Iriondo ,  Cun Mu ,  Zhiting Hu ,  Mark Schulze ,  Preslav Nakov ,  Tim Baldwin ,  and  Eric P. Xing
    Conference on Language Modeling, 2024
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    Training Bayesian Neural Networks with Sparse Subspace Variational Inference
    Junbo LiZichen MiaoQiang Qiu ,  and  Ruqi Zhang
    ICLR, 2024

2023

  1. fednar.png
    FedNAR: Federated Optimization with Normalized Annealing Regularization
    Junbo LiAng Li ,  Chong Tian ,  Qirong HoEric P Xing ,  and  Hongyi Wang
    NeurIPS, 2023
  2. vip_tpami.png
    Rethinking Certified Defense Against Patch Attacks with Vision Transformers
    Junbo LiXianhang Li ,  Hongru Zhu ,  Huan Zhang ,  and  Cihang Xie
    In submission to TPAMI, 2023

2022

  1. smrl.png
    Exponential Family Model-Based Reinforcement Learning via Score Matching
    Gene LiJunbo LiAnmol KabraNati SrebroZhaoran Wang ,  and  Zhuoran Yang
    NeurIPS (Oral presentation), 2022
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    ViP: Unified Certified Detection and Recovery for Patch Attack with Vision Transformers
    Junbo LiHuan Zhang ,  and  Cihang Xie
    ECCV, 2022
  3. Mitigating Lies in Vision-Language Models
    Junbo LiXianhang Li ,  and  Cihang Xie
    In NeurIPS ML Safety Workshop , 2022