Ting Hua
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
17
Venues
9
Active years
2013–2026
Best venue rank
A*
Where they publish
Papers
17 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | CrochetBench: Can Vision-Language Models Move from Describing to Doing in Crochet Domain? | Peiyu Li, Xiaobao Huang, Ting Hua, Nitesh V. Chawla |
| 2026 | ACL | Context Attribution with Multi-Armed Bandit Optimization. | Deng Pan, Keerthiram Murugesan, Ting Hua, Nuno Moniz, Nitesh V. Chawla |
| 2026 | ACL | HyperEdit: Unlocking Instruction-based Text Editing in LLMs via Hypernetworks. | Yiming Zeng, Jinghan Cao, Zexin Li, Wanhao Yu, Zhankai Ye, Dawei Xiang, Ting Hua, Xin Liu, Shangqian Gao, Tingting Yu |
| 2025 | EMNLP | AgentDrug: Utilizing Large Language Models in an Agentic Workflow for Zero-Shot Molecular Optimization. | Le Huy Khiem, Ting Hua, Nitesh V. Chawla |
| 2024 | NAACL | Adaptive Rank Selections for Low-Rank Approximation of Language Models. | Shangqian Gao, Ting Hua, Yen-Chang Hsu, Yilin Shen, Hongxia Jin |
| 2023 | EMNLP | Dynamic Low-rank Estimation for Transformer-based Language Models. | Ting Hua, Xiao Li, Shangqian Gao, Yen-Chang Hsu, Yilin Shen, Hongxia Jin |
| 2022 | CVPR | Lite-MDETR: A Lightweight Multi-Modal Detector. | Qian Lou, Yen-Chang Hsu, Burak Uzkent, Ting Hua, Yilin Shen, Hongxia Jin |
| 2022 | EMNLP | Numerical Optimizations for Weighted Low-rank Estimation on Language Models. | Ting Hua, Yen-Chang Hsu, Felicity Wang, Qian Lou, Yilin Shen, Hongxia Jin |
| 2022 | ICLR | Language model compression with weighted low-rank factorization. | Yen-Chang Hsu, Ting Hua, Sungen Chang, Qian Lou, Yilin Shen, Hongxia Jin |
| 2022 | ICLR | DictFormer: Tiny Transformer with Shared Dictionary. | Qian Lou, Ting Hua, Yen-Chang Hsu, Yilin Shen, Hongxia Jin |
| 2021 | IJCAI | Automatic Mixed-Precision Quantization Search of BERT. | Changsheng Zhao, Ting Hua, Yilin Shen, Qian Lou, Hongxia Jin |
| 2021 | NAACL | Hyperparameter-free Continuous Learning for Domain Classification in Natural Language Understanding. | Ting Hua, Yilin Shen, Changsheng Zhao, Yen-Chang Hsu, Hongxia Jin |
| 2018 | IJCAI | 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 |
| 2016 | AAAI | Topical Analysis of Interactions Between News and Social Media. | Ting Hua, Yue Ning, Feng Chen, Chang-Tien Lu, Naren Ramakrishnan |
| 2016 | CIKM | Automatical Storyline Generation with Help from Twitter. | Ting Hua, Xuchao Zhang, Wei Wang, Chang-Tien Lu, Naren Ramakrishnan |
| 2014 | KDD | '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 |
| 2013 | KDD | STED: semi-supervised targeted-interest event detectionin in twitter. | Ting Hua, Feng Chen, Liang Zhao, Chang-Tien Lu, Naren Ramakrishnan |