STED: semi-supervised targeted-interest event detectionin in twitter. - Ting Hua; Feng Chen 001; Liang Zhao 002; Chang-Tien Lu; Naren Ramakrishnan (KDD, 2013)

Analyzing Civil Unrest through Social Media. - Ting Hua; Chang-Tien Lu; Naren Ramakrishnan; Feng Chen 001; Jaime Arredondo; David Mares; Kristen Maria Summers (Computer, 2013)

'Beating the news' with EMBERS: forecasting civil unrest using open source indicators. - Naren Ramakrishnan; Patrick Butler; Sathappan Muthiah; Nathan Self; Rupinder Paul Khandpur; Parang Saraf; Wei Wang 064; Jose Cadena; Anil Vullikanti; Gizem Korkmaz; Chris J. Kuhlman; Achla Marathe; et al. (KDD, 2014)

How events unfold: spatiotemporal mining in social media. - Ting Hua; Liang Zhao 002; Feng Chen 001; Chang-Tien Lu; Naren Ramakrishnan (ACM SIGSPATIAL Special, 2015)

Topical Analysis of Interactions Between News and Social Media. - Ting Hua; Yue Ning 001; Feng Chen 001; Chang-Tien Lu; Naren Ramakrishnan (AAAI, 2016)

Automatical Storyline Generation with Help from Twitter. - Ting Hua; Xuchao Zhang; Wei Wang 064; Chang-Tien Lu; Naren Ramakrishnan (CIKM, 2016)

A topic-focused trust model for Twitter. - Liang Zhao 002; Ting Hua; Chang-Tien Lu; Ing-Ray Chen (Comput. Commun., 2016)

Automatic targeted-domain spatiotemporal event detection in twitter. - Ting Hua; Feng Chen 001; Liang Zhao 002; Chang-Tien Lu; Naren Ramakrishnan (GeoInformatica, 2016)

Model for evaluating the classification modes of the China's college entrance examination with hesitant fuzzy information. - Ting Hua (Int. J. Knowl. Based Intell. Eng. Syst., 2017)

Social Media based Simulation Models for Understanding Disease Dynamics. - Ting Hua; Chandan K. Reddy; Lei Zhang 158; Lijing Wang 001; Liang Zhao 002; Chang-Tien Lu; Naren Ramakrishnan (IJCAI, 2018)

On the Slack Euler Pair for Vector Partition. - Shishuo Fu; Ting Hua (Integers, 2018)

Spatial Consistency Assessments for Global Land-Cover Datasets: A Comparison among GLC2000, CCI LC, MCD12, GLOBCOVER and GLCNMO. - Ting Hua; Wenwu Zhao; Yanxu Liu; Shuai Wang 037; Siqi Yang (Remote. Sens., 2018)

Mahonian STAT on rearrangement class of words. - Shishuo Fu; Ting Hua; Vincent Vajnovszki (Discret. Appl. Math., 2019)

Probabilistic Topic Modeling for Comparative Analysis of Document Collections. - Ting Hua; Chang-Tien Lu; Jaegul Choo; Chandan K. Reddy (ACM Trans. Knowl. Discov. Data, 2020)

Automatic Mixed-Precision Quantization Search of BERT. - Changsheng Zhao 002; Ting Hua; Yilin Shen; Qian Lou; Hongxia Jin (IJCAI, 2021)

Hyperparameter-free Continuous Learning for Domain Classification in Natural Language Understanding. - Ting Hua; Yilin Shen; Changsheng Zhao 002; Yen-Chang Hsu; Hongxia Jin (NAACL-HLT, 2021)

Lite-MDETR: A Lightweight Multi-Modal Detector. - Qian Lou; Yen-Chang Hsu; Burak Uzkent; Ting Hua; Yilin Shen; Hongxia Jin (CVPR, 2022)

Numerical Optimizations for Weighted Low-rank Estimation on Language Models. - Ting Hua; Yen-Chang Hsu; Felicity Wang; Qian Lou; Yilin Shen; Hongxia Jin (EMNLP, 2022)

Language model compression with weighted low-rank factorization. - Yen-Chang Hsu; Ting Hua; Sungen Chang; Qian Lou; Yilin Shen; Hongxia Jin (ICLR, 2022)

DictFormer: Tiny Transformer with Shared Dictionary. - Qian Lou; Ting Hua; Yen-Chang Hsu; Yilin Shen; Hongxia Jin (ICLR, 2022)

Numerical Optimizations for Weighted Low-rank Estimation on Language Model. - Ting Hua; Yen-Chang Hsu; Felicity Wang; Qian Lou; Yilin Shen; Hongxia Jin (CoRR, 2022)

Dynamic Low-rank Estimation for Transformer-based Language Models. - Ting Hua; Xiao Li; Shangqian Gao; Yen-Chang Hsu; Yilin Shen; Hongxia Jin (EMNLP (Findings), 2023)

TrojLLM: A Black-box Trojan Prompt Attack on Large Language Models. - Jiaqi Xue; Mengxin Zheng; Ting Hua; Yilin Shen; Yepeng Liu; Ladislau Bölöni; Qian Lou (NeurIPS, 2023)

TrojPrompt: A Black-box Trojan Attack on Pre-trained Language Models. - Jiaqi Xue; Yepeng Liu; Mengxin Zheng; Ting Hua; Yilin Shen; Ladislau Bölöni; Qian Lou (CoRR, 2023)

Prompt Tuning for Zero-shot Compositional Learning. - Lingyu Zhang; Ting Hua; Yilin Shen; Hongxia Jin (CoRR, 2023)

Multiple Greenness Indexes Revealed the Vegetation Greening during the Growing Season and Winter on the Tibetan Plateau despite Regional Variations. - Jinxia Lv; Wenwu Zhao; Ting Hua; Lihao Zhang; Paulo Pereira (Remote. Sens., 2023)

Adaptive Rank Selections for Low-Rank Approximation of Language Models. - Shangqian Gao; Ting Hua; Yen-Chang Hsu; Yilin Shen; Hongxia Jin (NAACL-HLT, 2024)

DISP-LLM: Dimension-Independent Structural Pruning for Large Language Models. - Shangqian Gao; Chi-Heng Lin; Ting Hua; Zheng Tang; Yilin Shen; Hongxia Jin; Yen-Chang Hsu (NeurIPS, 2024)

DISP-LLM: Dimension-Independent Structural Pruning for Large Language Models. - Shangqian Gao; Chi-Heng Lin; Ting Hua; Tang Zheng; Yilin Shen; Hongxia Jin; Yen-Chang Hsu (CoRR, 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; Hongxia Jin (Trans. Mach. Learn. Res., 2024)

ToMoE: Converting Dense Large Language Models to Mixture-of-Experts through Dynamic Structural Pruning. - Shangqian Gao; Ting Hua; Reza Shirkavand; Chi-Heng Lin; Zhen Tang; Zhengao Li; Longge Yuan; Fangyi Li; Zeyu Zhang; Alireza Ganjdanesh; Qian Lou; Xu Jie; et al. (CoRR, 2025)

Dynamic Noise Preference Optimization for LLM Self-Improvement via Synthetic Data. - Haoyan Yang; Ting Hua; Shangqian Gao; Binfeng Xu; Zheng Tang; Jie Xu; Hongxia Jin; Vijay Srinivasan (CoRR, 2025)

FLAME: Towards Federated Fine-Tuning Large Language Models Through Adaptive SMoE. - Khiem Le; Tuan Tran; Ting Hua; Nitesh V. Chawla (CoRR, 2025)

SimInstruct: A Responsible Tool for Collecting Scaffolding Dialogues Between Experts and LLM-Simulated Novices. - Si Chen 006; Izzy Molnar; Ting Hua; Peiyu Li; Khiem Le; Alex Ambrose; James Lang; Ronald A. Metoyer; Nitesh V. Chawla (CoRR, 2025)

Combating Homelessness Stigma with LLMs: A New Multi-Modal Dataset for Bias Detection. - Jonathan A. Karr Jr.; Benjamin F. Herbst; Ting Hua; Matthew Hauenstein; Georgina Curto; Nitesh V. Chawla (CoRR, 2025)