Selected Publications

Google Scholar contains a more complete list of my publications. * indicates equal contribution.

2024

  1. DISP-LLM: Dimension-Independent Structural Pruning for Large Language Models
    Shangqian Gao, Chi-Heng Lin,  Ting Hua, Tang Zheng, Yilin Shen, Hongxia Jin, and Yen-Chang Hsu
    NeurIPS 2024
  2. Adaptive rank selections for low-rank approximation of language models
    Shangqian Gao,  Ting Hua, Yen-Chang Hsu, Yilin Shen, and Hongxia Jin
    NAACL 2024
  3. Continual Diffusion: Continual Customization of Text-to-Image Diffusion with C-LoRA
    James Seale Smith, Yen-Chang Hsu, Lingyu Zhang,  Ting Hua, Zsolt Kira, Yilin Shen, and Hongxia Jin
    Transactions on Machine Learning Research 2024

2023

  1. Trojllm: A black-box trojan prompt attack on large language models
    Jiaqi Xue, Mengxin Zheng,  Ting Hua, Yilin Shen, Yepeng Liu, Ladislau Bölöni, and Qian Lou
    NeurIPS 2023

2022

  1. Numerical Optimizations for Weighted Low-rank Estimation on Language Model
    Ting Hua*, Yen-Chang Hsu*, Felicity Wang, Qian Lou, Yilin Shen, and Hongxia Jin
    EMNLP 2022
  2. Language model compression with weighted low-rank factorization
    Yen-Chang Hsu*,  Ting Hua*, Sungen Chang, Qian Lou, Yilin Shen, and Hongxia Jin
    ICLR 2022
  3. DictFormer: Tiny Transformer with Shared Dictionary
    Qian Lou,  Ting Hua, Yen-Chang Hsu, Yilin Shen, and Hongxia Jin
    ICLR 2022
  4. Lite-mdetr: A lightweight multi-modal detector
    Qian Lou, Yen-Chang Hsu, Burak Uzkent,  Ting Hua, Yilin Shen, and Hongxia Jin
    CVPR 2022

2021

  1. Hyperparameter-free continuous learning for domain classification in natural language understanding
    Ting Hua, Yilin Shen, Changsheng Zhao, Yen-Chang Hsu, and Hongxia Jin
    NAACL 2021
  2. Automatic mixed-precision quantization search of BERT
    Changsheng Zhao,  Ting Hua, Yilin Shen, Qian Lou, and Hongxia Jin
    IJCAI 2021

2020

  1. Probabilistic topic modeling for comparative analysis of document collections
    Ting Hua, Chang-Tien Lu, Jaegul Choo, and Chandan K Reddy
    TKDD 2020

2018

  1. Social media based simulation models for understanding disease dynamics
    Ting Hua, Chandan K Reddy, Lei Zhang, Lijing Wang, Liang Zhao, Chang-Tien Lu, and Naren Ramakrishnan
    IJCAI 2018

2016

  1. Automatical storyline generation with help from twitter
    Ting Hua, Xuchao Zhang, Wei Wang, Chang-Tien Lu, and Naren Ramakrishnan
    CIKM 2016
  2. Topical analysis of interactions between news and social media
    Ting Hua, Yue Ning, Feng Chen, Chang-Tien Lu, and Naren Ramakrishnan
    AAAI 2016
  3. Automatic targeted-domain spatiotemporal event detection in twitter
    Ting Hua, Feng Chen, Liang Zhao, Chang-Tien Lu, and Naren Ramakrishnan
    GeoInformatica 2016
  4. A topic-focused trust model for Twitter
    Liang Zhao*,  Ting Hua*, Chang-Tien Lu, and Ray Chen
    Computer Communications 2016

2014

  1. ’Beating the news’ with EMBERS: forecasting civil unrest using open source indicators
    Naren Ramakrishnan, Patrick Butler, Sathappan Muthiah, Nathan Self, Rupinder Khandpur, Parang Saraf, Wei Wang, Jose Cadena, Anil Vullikanti, Gizem Korkmaz, Liang Zhao,  Ting Hua, Feng Chen, Chang-Tien Lu, and others
    KDD 2014

2013

  1. STED: semi-supervised targeted-interest event detectionin in twitter
    Ting Hua, Feng Chen, Liang Zhao, Chang-Tien Lu, and Naren Ramakrishnan
    KDD 2013