Ting Hua - RankMe

52 papers A* 11A 1Journal 36Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Human-Centred AI System for Multi-Actor Planning and Collaboration in Family Learning. CoRR Si Chen, Jingyi Xie, Yao Li, Ya-Fang Lin, He Zhang, Ge Wang, Gaojian Huang, Rui Yu, Ronald A. Metoyer, Ting Hua, Nitesh V. Chawla
2026	J	`jnl`	Automated Benchmark Generation from Domain Guidelines Informed by Bloom's Taxonomy. CoRR Si Chen, Le Huy Khiem, Annalisa Szymanski, Ronald A. Metoyer, Ting Hua, Nitesh V. Chawla
2026	J	`jnl`	Generalist Large Language Models for Molecular Property Prediction: Distilling Knowledge from Specialist Models. CoRR Khiem Le, Sreejata Dey, Marcos Martínez Galindo, Vanessa López, Ting Hua, Nitesh V. Chawla, Hoang Thanh Lam
2026	J	`jnl`	TeachingCoach: A Fine-Tuned Scaffolding Chatbot for Instructional Guidance to Instructors. CoRR Isabel R. Molnar, Peiyu Li, Si Chen, Sugana Chawla, James Lang, Ronald A. Metoyer, Ting Hua, Nitesh V. Chawla
2026	J	`jnl`	ToMoE: Converting Dense Large Language Models to Mixture-of-Experts through Dynamic Structural Pruning. Trans. Mach. Learn. Res. Shangqian Gao, Ting Hua, Reza Shirkavand, Chi-Heng Lin, Zheng Tang, Zhengao Li, Longge Yuan, Fangyi Li, Zeyu Zhang, Alireza Ganjdanesh, Qian Lou, Jie Xu, Yen-Chang Hsu
2026	J	`jnl`	Transform-Augmented GRPO Improves Pass@k. CoRR Khiem Le, Youssef Mroueh, Phuc Nguyen, Chi-Heng Lin, Shangqian Gao, Ting Hua, Nitesh V. Chawla
2025	J	`jnl`	Adaptive Testing for LLM Evaluation: A Psychometric Alternative to Static Benchmarks. CoRR Peiyu Li, Xiuxiu Tang, Si Chen, Ying Cheng, Ronald A. Metoyer, Ting Hua, Nitesh V. Chawla
2025	—	`conf`	AgentDrug: Utilizing Large Language Models in an Agentic Workflow for Zero-Shot Molecular Optimization. EMNLP (Findings) Le Huy Khiem, Ting Hua, Nitesh V. Chawla
2025	J	`jnl`	Combating Homelessness Stigma with LLMs: A New Multi-Modal Dataset for Bias Detection. CoRR Jonathan A. Karr Jr., Benjamin F. Herbst, Ting Hua, Matthew Hauenstein, Georgina Curto, Nitesh V. Chawla
2025	J	`jnl`	Dynamic Noise Preference Optimization for LLM Self-Improvement via Synthetic Data. CoRR Haoyan Yang, Ting Hua, Shangqian Gao, Binfeng Xu, Zheng Tang, Jie Xu, Hongxia Jin, Vijay Srinivasan
2025	J	`jnl`	Exploring Conversational Design Choices in LLMs for Pedagogical Purposes: Socratic and Narrative Approaches for Improving Instructor's Teaching Practice. CoRR Si Chen, Isabel R. Molnar, Peiyu Li, Adam Acunin, Ting Hua, Alex Ambrose, Nitesh V. Chawla, Ronald A. Metoyer
2025	J	`jnl`	FLAME: Towards Federated Fine-Tuning Large Language Models Through Adaptive SMoE. CoRR Khiem Le, Tuan Tran, Ting Hua, Nitesh V. Chawla
2025	J	`jnl`	HyperEdit: Unlocking Instruction-based Text Editing in LLMs via Hypernetworks. CoRR Yiming Zeng, Jinghan Cao, Zexin Li, Wanhao Yu, Zhankai Ye, Dawei Xiang, Ting Hua, Xin Liu, Shangqian Gao, Tingting Yu
2025	J	`jnl`	LLMs4All: A Review on Large Language Models for Research and Applications in Academic Disciplines. CoRR Yanfang Ye, Zheyuan Zhang, Tianyi Ma, Zehong Wang, Yiyang Li, Shifu Hou, Weixiang Sun, Kaiwen Shi, Yijun Ma, Wei Song, Ahmed Abbasi, Ying Cheng, Jane Cleland-Huang, Steven Corcelli, Robert Goulding, Ming Hu, Ting Hua, John Lalor, Fang Liu, Tengfei Luo, Ed Maginn, Nuno Moniz, Jason Rohr, Brett Savoie, Daniel Slate, Tom Stapleford, Matthew Webber, Olaf Wiest, Johnny Zhang, Nitesh V. Chawla
2025	J	`jnl`	SimInstruct: A Responsible Tool for Collecting Scaffolding Dialogues Between Experts and LLM-Simulated Novices. CoRR Si Chen, Izzy Molnar, Ting Hua, Peiyu Li, Khiem Le, Alex Ambrose, James Lang, Ronald A. Metoyer, Nitesh V. Chawla
2025	J	`jnl`	ToMoE: Converting Dense Large Language Models to Mixture-of-Experts through Dynamic Structural Pruning. CoRR 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, Yen-Chang Hsu
2024	—	`conf`	Adaptive Rank Selections for Low-Rank Approximation of Language Models. NAACL-HLT Shangqian Gao, Ting Hua, Yen-Chang Hsu, Yilin Shen, Hongxia Jin
2024	J	`jnl`	Continual Diffusion: Continual Customization of Text-to-Image Diffusion with C-LoRA. Trans. Mach. Learn. Res. James Seale Smith, Yen-Chang Hsu, Lingyu Zhang, Ting Hua, Zsolt Kira, Yilin Shen, Hongxia Jin
2024	A*	`conf`	DISP-LLM: Dimension-Independent Structural Pruning for Large Language Models. NeurIPS Shangqian Gao, Chi-Heng Lin, Ting Hua, Zheng Tang, Yilin Shen, Hongxia Jin, Yen-Chang Hsu
2024	J	`jnl`	DISP-LLM: Dimension-Independent Structural Pruning for Large Language Models. CoRR Shangqian Gao, Chi-Heng Lin, Ting Hua, Tang Zheng, Yilin Shen, Hongxia Jin, Yen-Chang Hsu
2023	J	`jnl`	Continual Diffusion: Continual Customization of Text-to-Image Diffusion with C-LoRA. CoRR James Seale Smith, Yen-Chang Hsu, Lingyu Zhang, Ting Hua, Zsolt Kira, Yilin Shen, Hongxia Jin
2023	—	`conf`	Dynamic Low-rank Estimation for Transformer-based Language Models. EMNLP (Findings) Ting Hua, Xiao Li, Shangqian Gao, Yen-Chang Hsu, Yilin Shen, Hongxia Jin
2023	J	`jnl`	Multiple Greenness Indexes Revealed the Vegetation Greening during the Growing Season and Winter on the Tibetan Plateau despite Regional Variations. Remote. Sens. Jinxia Lv, Wenwu Zhao, Ting Hua, Lihao Zhang, Paulo Pereira
2023	J	`jnl`	Prompt Tuning for Zero-shot Compositional Learning. CoRR Lingyu Zhang, Ting Hua, Yilin Shen, Hongxia Jin
2023	A*	`conf`	TrojLLM: A Black-box Trojan Prompt Attack on Large Language Models. NeurIPS Jiaqi Xue, Mengxin Zheng, Ting Hua, Yilin Shen, Yepeng Liu, Ladislau Bölöni, Qian Lou
2023	J	`jnl`	TrojPrompt: A Black-box Trojan Attack on Pre-trained Language Models. CoRR Jiaqi Xue, Yepeng Liu, Mengxin Zheng, Ting Hua, Yilin Shen, Ladislau Bölöni, Qian Lou
2022	A*	`conf`	DictFormer: Tiny Transformer with Shared Dictionary. ICLR Qian Lou, Ting Hua, Yen-Chang Hsu, Yilin Shen, Hongxia Jin
2022	J	`jnl`	Hyperparameter-free Continuous Learning for Domain Classification in Natural Language Understanding. CoRR Ting Hua, Yilin Shen, Changsheng Zhao, Yen-Chang Hsu, Hongxia Jin
2022	A*	`conf`	Language model compression with weighted low-rank factorization. ICLR Yen-Chang Hsu, Ting Hua, Sungen Chang, Qian Lou, Yilin Shen, Hongxia Jin
2022	J	`jnl`	Language model compression with weighted low-rank factorization. CoRR Yen-Chang Hsu, Ting Hua, Sungen Chang, Qian Lou, Yilin Shen, Hongxia Jin
2022	A*	`conf`	Lite-MDETR: A Lightweight Multi-Modal Detector. CVPR Qian Lou, Yen-Chang Hsu, Burak Uzkent, Ting Hua, Yilin Shen, Hongxia Jin
2022	J	`jnl`	Numerical Optimizations for Weighted Low-rank Estimation on Language Model. CoRR Ting Hua, Yen-Chang Hsu, Felicity Wang, Qian Lou, Yilin Shen, Hongxia Jin
2022	A*	`conf`	Numerical Optimizations for Weighted Low-rank Estimation on Language Models. EMNLP Ting Hua, Yen-Chang Hsu, Felicity Wang, Qian Lou, Yilin Shen, Hongxia Jin
2021	A*	`conf`	Automatic Mixed-Precision Quantization Search of BERT. IJCAI Changsheng Zhao, Ting Hua, Yilin Shen, Qian Lou, Hongxia Jin
2021	J	`jnl`	Automatic Mixed-Precision Quantization Search of BERT. CoRR Changsheng Zhao, Ting Hua, Yilin Shen, Qian Lou, Hongxia Jin
2021	—	`conf`	Hyperparameter-free Continuous Learning for Domain Classification in Natural Language Understanding. NAACL-HLT Ting Hua, Yilin Shen, Changsheng Zhao, Yen-Chang Hsu, Hongxia Jin
2020	J	`jnl`	Probabilistic Topic Modeling for Comparative Analysis of Document Collections. ACM Trans. Knowl. Discov. Data Ting Hua, Chang-Tien Lu, Jaegul Choo, Chandan K. Reddy
2019	J	`jnl`	Mahonian STAT on rearrangement class of words. Discret. Appl. Math. Shishuo Fu, Ting Hua, Vincent Vajnovszki
2018	J	`jnl`	On the Slack Euler Pair for Vector Partition. Integers Shishuo Fu, Ting Hua
2018	A*	`conf`	Social Media based Simulation Models for Understanding Disease Dynamics. IJCAI Ting Hua, Chandan K. Reddy, Lei Zhang, Lijing Wang, Liang Zhao, Chang-Tien Lu, Naren Ramakrishnan
2018	J	`jnl`	Spatial Consistency Assessments for Global Land-Cover Datasets: A Comparison among GLC2000, CCI LC, MCD12, GLOBCOVER and GLCNMO. Remote. Sens. Ting Hua, Wenwu Zhao, Yanxu Liu, Shuai Wang, Siqi Yang
2017	J	`jnl`	Mahonian STAT on rearrangement class of words. CoRR Shishuo Fu, Ting Hua, Vincent Vajnovszki
2017	J	`jnl`	Model for evaluating the classification modes of the China's college entrance examination with hesitant fuzzy information. Int. J. Knowl. Based Intell. Eng. Syst. Ting Hua
2016	J	`jnl`	A topic-focused trust model for Twitter. Comput. Commun. Liang Zhao, Ting Hua, Chang-Tien Lu, Ing-Ray Chen
2016	J	`jnl`	Automatic targeted-domain spatiotemporal event detection in twitter. GeoInformatica Ting Hua, Feng Chen, Liang Zhao, Chang-Tien Lu, Naren Ramakrishnan
2016	A	`conf`	Automatical Storyline Generation with Help from Twitter. CIKM Ting Hua, Xuchao Zhang, Wei Wang, Chang-Tien Lu, Naren Ramakrishnan
2016	A*	`conf`	Topical Analysis of Interactions Between News and Social Media. AAAI Ting Hua, Yue Ning, Feng Chen, Chang-Tien Lu, Naren Ramakrishnan
2015	J	`jnl`	How events unfold: spatiotemporal mining in social media. ACM SIGSPATIAL Special Ting Hua, Liang Zhao, Feng Chen, Chang-Tien Lu, Naren Ramakrishnan
2014	J	`jnl`	'Beating the news' with EMBERS: Forecasting Civil Unrest using Open Source Indicators. CoRR 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
2014	A*	`conf`	'Beating the news' with EMBERS: forecasting civil unrest using open source indicators. KDD 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	J	`jnl`	Analyzing Civil Unrest through Social Media. Computer Ting Hua, Chang-Tien Lu, Naren Ramakrishnan, Feng Chen, Jaime Arredondo, David Mares, Kristen Maria Summers
2013	A*	`conf`	STED: semi-supervised targeted-interest event detectionin in twitter. KDD Ting Hua, Feng Chen, Liang Zhao, Chang-Tien Lu, Naren Ramakrishnan