2024 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 Adaptive rank selections for low-rank approximation of language models Shangqian Gao, Ting Hua, Yen-Chang Hsu, Yilin Shen, and Hongxia Jin NAACL 2024 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 TMLR 2024 2023 Dynamic Low-rank Estimation for Transformer-based Language Models Ting Hua, Xiao Li, Shangqian Gao, Yen-Chang Hsu, Yilin Shen, and Hongxia Jin EMNLP 2023 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 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 Language model compression with weighted low-rank factorization Yen-Chang Hsu*, Ting Hua*, Sungen Chang, Qian Lou, Yilin Shen, and Hongxia Jin ICLR 2022 DictFormer: Tiny Transformer with Shared Dictionary Qian Lou, Ting Hua, Yen-Chang Hsu, Yilin Shen, and Hongxia Jin ICLR 2022 2021 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 Automatic mixed-precision quantization search of BERT Changsheng Zhao, Ting Hua, Yilin Shen, Qian Lou, and Hongxia Jin IJCAI 2021 2020 Probabilistic topic modeling for comparative analysis of document collections Ting Hua, Chang-Tien Lu, Jaegul Choo, and Chandan K Reddy TKDD 2020 2018 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 Topical analysis of interactions between news and social media Ting Hua, Yue Ning, Feng Chen, Chang-Tien Lu, and Naren Ramakrishnan AAAI 2016 2014 ’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
