Ting Hua

According to our database, Ting Hua authored at least 27 papers between 2013 and 2023.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

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., December, 2023

Prompt Tuning for Zero-shot Compositional Learning.

Lingyu Zhang, Ting Hua, Yilin Shen, Hongxia Jin

CoRR, 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

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

CoRR, 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

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Dynamic Low-rank Estimation for Transformer-based Language Models.

Ting Hua, Xiao Li, Shangqian Gao, Yen-Chang Hsu, Yilin Shen, Hongxia Jin

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

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

DictFormer: Tiny Transformer with Shared Dictionary.

Qian Lou, Ting Hua, Yen-Chang Hsu, Yilin Shen, Hongxia Jin

Proceedings of the Tenth International Conference on Learning Representations, 2022

Language model compression with weighted low-rank factorization.

Yen-Chang Hsu, Ting Hua, Sungen Chang, Qian Lou, Yilin Shen, Hongxia Jin

Proceedings of the Tenth International Conference on Learning Representations, 2022

Numerical Optimizations for Weighted Low-rank Estimation on Language Models.

Ting Hua, Yen-Chang Hsu, Felicity Wang, Qian Lou, Yilin Shen, Hongxia Jin

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Lite-MDETR: A Lightweight Multi-Modal Detector.

Qian Lou, Yen-Chang Hsu, Burak Uzkent, Ting Hua, Yilin Shen, Hongxia Jin

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Hyperparameter-free Continuous Learning for Domain Classification in Natural Language Understanding.

Ting Hua, Yilin Shen, Changsheng Zhao, Yen-Chang Hsu, Hongxia Jin

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Automatic Mixed-Precision Quantization Search of BERT.

Changsheng Zhao, Ting Hua, Yilin Shen, Qian Lou, Hongxia Jin

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

2020

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

2019

Mahonian STAT on rearrangement class of words.

Shishuo Fu, Ting Hua, Vincent Vajnovszki

Discret. Appl. Math., 2019

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, Siqi Yang

Remote. Sens., 2018

On the Slack Euler Pair for Vector Partition.

Shishuo Fu, Ting Hua

Integers, 2018

Social Media based Simulation Models for Understanding Disease Dynamics.

Ting Hua, Chandan K. Reddy, Lei Zhang, Lijing Wang, Liang Zhao, Chang-Tien Lu, Naren Ramakrishnan

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

2017

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

2016

Automatic targeted-domain spatiotemporal event detection in twitter.

Ting Hua, Feng Chen, Liang Zhao, Chang-Tien Lu, Naren Ramakrishnan

GeoInformatica, 2016

A topic-focused trust model for Twitter.

Liang Zhao, Ting Hua, Chang-Tien Lu, Ing-Ray Chen

Comput. Commun., 2016

Automatical Storyline Generation with Help from Twitter.

Ting Hua, Xuchao Zhang, Wei Wang, Chang-Tien Lu, Naren Ramakrishnan

Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

Topical Analysis of Interactions Between News and Social Media.

Ting Hua, Yue Ning, Feng Chen, Chang-Tien Lu, Naren Ramakrishnan

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015

How events unfold: spatiotemporal mining in social media.

Ting Hua, Liang Zhao, Feng Chen, Chang-Tien Lu, Naren Ramakrishnan

ACM SIGSPATIAL Special, 2015

2014

'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, Jose Cadena, Anil Vullikanti, Gizem Korkmaz, Chris J. Kuhlman, Achla Marathe, Liang Zhao, Ting Hua, Feng Chen, Chang-Tien Lu, Bert Huang, Aravind Srinivasan, Khoa Trinh, Lise Getoor, Graham Katz, Andy Doyle, Chris Ackermann, Ilya Zavorin, Jim Ford, Kristen Maria Summers, Youssef Fayed, Jaime Arredondo, Dipak Gupta, David Mares

Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

2013

Analyzing Civil Unrest through Social Media.

Ting Hua, Chang-Tien Lu, Naren Ramakrishnan, Feng Chen, Jaime Arredondo, David Mares, Kristen Maria Summers

Computer, 2013

STED: semi-supervised targeted-interest event detectionin in twitter.

Ting Hua, Feng Chen, Liang Zhao, Chang-Tien Lu, Naren Ramakrishnan

Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013