Ting Hua
13 papers · 2018–2026 · 7 venues · across top CS/AI venues
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Achievements
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(10)
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Research topics
Artificial Intelligence
(9)
Machine Learning
(9)
Core AI
(8)
Application Areas
(7)
Deep Learning
(6)
Optimization & Theory Β· Deep Learning
(4)
Architectures
(3)
Optimization & Theory Β· Machine Learning
(3)
Learning Types Β· Machine Learning
(2)
Learning Types Β· Deep Learning
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Models
(2)
Techniques
(2)
Computer Vision
(1)
Interdisciplinary
(1)
Natural Language Processing
(1)
Keywords
model compression
(7)
singular value decomposition
(4)
matrix decomposition
(3)
large language model
(2)
low-rank approximation
(2)
knowledge distillation
(2)
language model
(2)
fisher information
(2)
molecular optimization
(1)
language modeling
(1)
zero-shot learning
(1)
object detection
(1)
multimodal learning
(1)
neural architecture search
(1)
bayesian inference
(1)
continual learning
(1)
efficient computing
(1)
non-convex optimization
(1)
neural network optimization
(1)
natural language understanding
(1)
Papers
CrochetBench: Can Vision-Language Models Move from Describing to Doing in Crochet Domain?
ACL 2026
AgentDrug: Utilizing Large Language Models in an Agentic Workflow for Zero-Shot Molecular Optimization
EMNLP 2025
Adaptive Rank Selections for Low-Rank Approximation of Language Models
NAACL 2024
DISP-LLM: Dimension-Independent Structural Pruning for Large Language Models
NeurIPS 2024
Dynamic Low-rank Estimation for Transformer-based Language Models
EMNLP 2023
TrojLLM: A Black-box Trojan Prompt Attack on Large Language Models
NeurIPS 2023
DictFormer: Tiny Transformer with Shared Dictionary
ICLR 2022
Language model compression with weighted low-rank factorization
ICLR 2022
Lite-MDETR: A Lightweight Multi-Modal Detector
CVPR 2022
Numerical Optimizations for Weighted Low-rank Estimation on Language Models
EMNLP 2022
Automatic Mixed-Precision Quantization Search of BERT
IJCAI 2021
Hyperparameter-free Continuous Learning for Domain Classification in Natural Language Understanding
NAACL 2021
Social Media based Simulation Models for Understanding Disease Dynamics
IJCAI 2018