Tao Zhong
13 papers · 2021–2026 · 9 venues · across top CS/AI venues
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Achievements
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π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (36) π Academic Marathon Β· Sprint π Century Club Β· Bronze
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Prolific Year Β· Productive
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Conference Pioneer
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Renaissance Researcher
(8)
Venues
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Research topics
Machine Learning
(9)
Artificial Intelligence
(8)
Core AI
(8)
Deep Learning
(5)
Application Areas
(5)
Mathematics & Optimization
(3)
Learning Types Β· Machine Learning
(3)
Optimization
(3)
Architectures
(2)
Learning Paradigms
(2)
Learning Types Β· Deep Learning
(2)
Models
(2)
Optimization & Theory
(2)
Computer Vision
(1)
Healthcare & Medicine
(1)
Keywords
large language model
(4)
domain adaptation
(2)
benchmark dataset
(2)
visual reasoning
(2)
mathematical modeling
(2)
preference learning
(1)
decision making
(1)
contrastive learning
(1)
multimodal learning
(1)
bipartite graph
(1)
test-time adaptation
(1)
image synthesis
(1)
prompt engineering
(1)
model merging
(1)
low-rank estimation
(1)
knowledge distillation
(1)
performance evaluation
(1)
domain knowledge
(1)
distribution shift
(1)
attention mechanism
(1)
Papers
CMMCoT: Enhancing Complex Multi-Image Comprehension via Multi-Modal Chain-of-Thought and Memory Augmentation
AAAI 2026
A Survey of Optimization Modeling Meets LLMs: Progress and Future Directions
IJCAI 2025
BPP-Search: Enhancing Tree of Thought Reasoning for Mathematical Modeling Problem Solving
ACL 2025
Decision Information Meets Large Language Models: The Future of Explainable Operations Research
ICLR 2025
Fast and Interpretable Mixed-Integer Linear Program Solving by Learning Model Reduction
AAAI 2025
LoRE-Merging: Exploring Low-Rank Estimation For Large Language Model Merging
EMNLP 2025
Regularized Federated Learning for Privacy-Preserving Dysarthric and Elderly Speech Recognition
Interspeech 2025
Adapting to Distribution Shift by Visual Domain Prompt Generation
ICLR 2024
Chain-of-Experts: When LLMs Meet Complex Operations Research Problems
ICLR 2024
Enhancing LLM Reasoning via Vision-Augmented Prompting
NeurIPS 2024
Material Decomposition in Photon-Counting CT: A Deep Learning Approach Driven by Detector Physics and ASIC Modeling
MICCAI 2024
Meta-DMoE: Adapting to Domain Shift by Meta-Distillation from Mixture-of-Experts
NeurIPS 2022
Large-Capacity Image Steganography Based on Invertible Neural Networks
CVPR 2021