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Ting Hua
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2020 – today
- 2024
- [j11]James Seale Smith, Yen-Chang Hsu, Lingyu Zhang, Ting Hua, Zsolt Kira, Yilin Shen, Hongxia Jin:
Continual Diffusion: Continual Customization of Text-to-Image Diffusion with C-LoRA. Trans. Mach. Learn. Res. 2024 (2024) - [c14]Shangqian Gao, Ting Hua, Yen-Chang Hsu, Yilin Shen, Hongxia Jin:
Adaptive Rank Selections for Low-Rank Approximation of Language Models. NAACL-HLT 2024: 227-241 - [i10]Shangqian Gao, Chi-Heng Lin, Ting Hua, Tang Zheng, Yilin Shen, Hongxia Jin, Yen-Chang Hsu:
DISP-LLM: Dimension-Independent Structural Pruning for Large Language Models. CoRR abs/2410.11988 (2024) - 2023
- [j10]Jinxia Lv, Wenwu Zhao, Ting Hua, Lihao Zhang, Paulo Pereira:
Multiple Greenness Indexes Revealed the Vegetation Greening during the Growing Season and Winter on the Tibetan Plateau despite Regional Variations. Remote. Sens. 15(24): 5697 (2023) - [c13]Ting Hua, Xiao Li, Shangqian Gao, Yen-Chang Hsu, Yilin Shen, Hongxia Jin:
Dynamic Low-rank Estimation for Transformer-based Language Models. EMNLP (Findings) 2023: 9275-9287 - [c12]Jiaqi Xue, Mengxin Zheng, Ting Hua, Yilin Shen, Yepeng Liu, Ladislau Bölöni, Qian Lou:
TrojLLM: A Black-box Trojan Prompt Attack on Large Language Models. NeurIPS 2023 - [i9]James Seale Smith, Yen-Chang Hsu, Lingyu Zhang, Ting Hua, Zsolt Kira, Yilin Shen, Hongxia Jin:
Continual Diffusion: Continual Customization of Text-to-Image Diffusion with C-LoRA. CoRR abs/2304.06027 (2023) - [i8]Jiaqi Xue, Yepeng Liu, Mengxin Zheng, Ting Hua, Yilin Shen, Ladislau Bölöni, Qian Lou:
TrojPrompt: A Black-box Trojan Attack on Pre-trained Language Models. CoRR abs/2306.06815 (2023) - [i7]Lingyu Zhang, Ting Hua, Yilin Shen, Hongxia Jin:
Prompt Tuning for Zero-shot Compositional Learning. CoRR abs/2312.02191 (2023) - 2022
- [c11]Qian Lou, Yen-Chang Hsu, Burak Uzkent, Ting Hua, Yilin Shen, Hongxia Jin:
Lite-MDETR: A Lightweight Multi-Modal Detector. CVPR 2022: 12196-12205 - [c10]Ting Hua, Yen-Chang Hsu, Felicity Wang, Qian Lou, Yilin Shen, Hongxia Jin:
Numerical Optimizations for Weighted Low-rank Estimation on Language Models. EMNLP 2022: 1404-1416 - [c9]Yen-Chang Hsu, Ting Hua, Sungen Chang, Qian Lou, Yilin Shen, Hongxia Jin:
Language model compression with weighted low-rank factorization. ICLR 2022 - [c8]Qian Lou, Ting Hua, Yen-Chang Hsu, Yilin Shen, Hongxia Jin:
DictFormer: Tiny Transformer with Shared Dictionary. ICLR 2022 - [i6]Ting Hua, Yilin Shen, Changsheng Zhao, Yen-Chang Hsu, Hongxia Jin:
Hyperparameter-free Continuous Learning for Domain Classification in Natural Language Understanding. CoRR abs/2201.01420 (2022) - [i5]Yen-Chang Hsu, Ting Hua, Sungen Chang, Qian Lou, Yilin Shen, Hongxia Jin:
Language model compression with weighted low-rank factorization. CoRR abs/2207.00112 (2022) - [i4]Ting Hua, Yen-Chang Hsu, Felicity Wang, Qian Lou, Yilin Shen, Hongxia Jin:
Numerical Optimizations for Weighted Low-rank Estimation on Language Model. CoRR abs/2211.09718 (2022) - 2021
- [c7]Changsheng Zhao, Ting Hua, Yilin Shen, Qian Lou, Hongxia Jin:
Automatic Mixed-Precision Quantization Search of BERT. IJCAI 2021: 3427-3433 - [c6]Ting Hua, Yilin Shen, Changsheng Zhao, Yen-Chang Hsu, Hongxia Jin:
Hyperparameter-free Continuous Learning for Domain Classification in Natural Language Understanding. NAACL-HLT 2021: 2669-2678 - [i3]Changsheng Zhao, Ting Hua, Yilin Shen, Qian Lou, Hongxia Jin:
Automatic Mixed-Precision Quantization Search of BERT. CoRR abs/2112.14938 (2021) - 2020
- [j9]Ting Hua, Chang-Tien Lu, Jaegul Choo, Chandan K. Reddy:
Probabilistic Topic Modeling for Comparative Analysis of Document Collections. ACM Trans. Knowl. Discov. Data 14(2): 24:1-24:27 (2020)
2010 – 2019
- 2019
- [j8]Shishuo Fu, Ting Hua, Vincent Vajnovszki:
Mahonian STAT on rearrangement class of words. Discret. Appl. Math. 270: 134-141 (2019) - 2018
- [j7]Shishuo Fu, Ting Hua:
On the Slack Euler Pair for Vector Partition. Integers 18: A7 (2018) - [j6]Ting Hua, Wenwu Zhao, Yanxu Liu, Shuai Wang, Siqi Yang:
Spatial Consistency Assessments for Global Land-Cover Datasets: A Comparison among GLC2000, CCI LC, MCD12, GLOBCOVER and GLCNMO. Remote. Sens. 10(11): 1846 (2018) - [c5]Ting Hua, Chandan K. Reddy, Lei Zhang, Lijing Wang, Liang Zhao, Chang-Tien Lu, Naren Ramakrishnan:
Social Media based Simulation Models for Understanding Disease Dynamics. IJCAI 2018: 3797-3804 - 2017
- [j5]Ting Hua:
Model for evaluating the classification modes of the China's college entrance examination with hesitant fuzzy information. Int. J. Knowl. Based Intell. Eng. Syst. 21(4): 265-272 (2017) - [i2]Shishuo Fu, Ting Hua, Vincent Vajnovszki:
Mahonian STAT on rearrangement class of words. CoRR abs/1708.07928 (2017) - 2016
- [j4]Liang Zhao, Ting Hua, Chang-Tien Lu, Ing-Ray Chen:
A topic-focused trust model for Twitter. Comput. Commun. 76: 1-11 (2016) - [j3]Ting Hua, Feng Chen, Liang Zhao, Chang-Tien Lu, Naren Ramakrishnan:
Automatic targeted-domain spatiotemporal event detection in twitter. GeoInformatica 20(4): 765-795 (2016) - [c4]Ting Hua, Yue Ning, Feng Chen, Chang-Tien Lu, Naren Ramakrishnan:
Topical Analysis of Interactions Between News and Social Media. AAAI 2016: 2964-2971 - [c3]Ting Hua, Xuchao Zhang, Wei Wang, Chang-Tien Lu, Naren Ramakrishnan:
Automatical Storyline Generation with Help from Twitter. CIKM 2016: 2383-2388 - 2015
- [j2]Ting Hua, Liang Zhao, Feng Chen, Chang-Tien Lu, Naren Ramakrishnan:
How events unfold: spatiotemporal mining in social media. ACM SIGSPATIAL Special 7(3): 19-25 (2015) - 2014
- [c2]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:
'Beating the news' with EMBERS: forecasting civil unrest using open source indicators. KDD 2014: 1799-1808 - [i1]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:
'Beating the news' with EMBERS: Forecasting Civil Unrest using Open Source Indicators. CoRR abs/1402.7035 (2014) - 2013
- [j1]Ting Hua, Chang-Tien Lu, Naren Ramakrishnan, Feng Chen, Jaime Arredondo, David Mares, Kristen Maria Summers:
Analyzing Civil Unrest through Social Media. Computer 46(12): 80-84 (2013) - [c1]Ting Hua, Feng Chen, Liang Zhao, Chang-Tien Lu, Naren Ramakrishnan:
STED: semi-supervised targeted-interest event detectionin in twitter. KDD 2013: 1466-1469
Coauthor Index
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last updated on 2024-11-25 22:46 CET by the dblp team
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