Aojun Zhou
37 papers · 2018–2026 · 9 conferences · across top CS/AI conferences
Achievements
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🐣 Hot Topic Early Bird 🌍 Conference Polyglot (8) 🧭 Keyword Pioneer 🌉 Interdisciplinary Bridge 🏃 Academic Marathon (7)
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Keyword Pioneer
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Hot Topic Early Bird
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(12)
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Dynamic Duo
(22)
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(22)
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Topic Evolution
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(2)
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Prolific Year
(9)
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(5)
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Keyword Collector
(128)
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Conferences
ICLR (9)
ICCV (8)
ACL (6)
CVPR (5)
NIPS (3)
EMNLP (2)
ICML (2)
AAAI (1)
ECCV (1)
Top co-authors
Keywords
model compression
(6)
mathematical reasoning
(5)
large multimodal model
(4)
large language model
(4)
multimodal large language model
(3)
knowledge distillation
(3)
code generation
(3)
visual question answering
(2)
image classification
(2)
domain adaptation
(2)
multi-modal learning
(2)
multimodal learning
(2)
mobile deployment
(2)
direct preference optimization
(1)
vision transformer
(1)
curriculum learning
(1)
benchmark evaluation
(1)
preference optimization
(1)
feature extraction
(1)
cross-domain learning
(1)
Papers
MathCanvas: Intrinsic Visual Chain-of-Thought for Multimodal Mathematical Reasoning
ACL 2026
From Solver to Tutor: Evaluating the Pedagogical Intelligence of LLMs with KMP-Bench
AAAI 2026
MAVIS: Mathematical Visual Instruction Tuning with an Automatic Data Engine
ICLR 2025
MathCoder2: Better Math Reasoning from Continued Pretraining on Model-translated Mathematical Code
ICLR 2025
Chimera: Improving Generalist Model with Domain-Specific Experts
ICCV 2025
ReflectionCoder: Learning from Reflection Sequence for Enhanced One-off Code Generation
ACL 2025
MathCoder-VL: Bridging Vision and Code for Enhanced Multimodal Mathematical Reasoning
ACL 2025
Probability-Consistent Preference Optimization for Enhanced LLM Reasoning
ACL 2025
GenieBlue: Integrating both Linguistic and Multimodal Capabilities for Large Language Models on Mobile Devices
ICCV 2025
Adaptive Markup Language Generation for Contextually-Grounded Visual Document Understanding
CVPR 2025
BlueLM-V-3B: Algorithm and System Co-Design for Multimodal Large Language Models on Mobile Devices
CVPR 2025
Alignment with Fill-In-the-Middle for Enhancing Code Generation
EMNLP 2025
ThinK: Thinner Key Cache by Query-Driven Pruning
ICLR 2025
LM-Searcher: Cross-domain Neural Architecture Search with LLMs via Unified Numerical Encoding
EMNLP 2025
Solving Challenging Math Word Problems Using GPT-4 Code Interpreter with Code-based Self-Verification
ICLR 2024
Graph Lottery Ticket Automated
ICLR 2024
Not All Experts are Equal: Efficient Expert Pruning and Skipping for Mixture-of-Experts Large Language Models
ACL 2024
MathVerse: Does Your Multi-modal LLM Truly See the Diagrams in Visual Math Problems?
ECCV 2024
SPP: Sparsity-Preserved Parameter-Efficient Fine-Tuning for Large Language Models
ICML 2024
Measuring Multimodal Mathematical Reasoning with MATH-Vision Dataset
NIPS 2024
MathGenie: Generating Synthetic Data with Question Back-translation for Enhancing Mathematical Reasoning of LLMs
ACL 2024
MathCoder: Seamless Code Integration in LLMs for Enhanced Mathematical Reasoning
ICLR 2024
LLaMA-Adapter: Efficient Fine-tuning of Large Language Models with Zero-initialized Attention
ICLR 2024
Not All Features Matter: Enhancing Few-shot CLIP with Adaptive Prior Refinement
ICCV 2023
SparseMAE: Sparse Training Meets Masked Autoencoders
ICCV 2023
JourneyDB: A Benchmark for Generative Image Understanding
NIPS 2023
Group R-CNN for Weakly Semi-Supervised Object Detection With Points
CVPR 2022
Omni-Dimensional Dynamic Convolution
ICLR 2022
Differentiable Dynamic Wirings for Neural Networks
ICCV 2021
DominoSearch: Find layer-wise fine-grained N:M sparse schemes from dense neural networks
NIPS 2021
Incorporating Convolution Designs Into Visual Transformers
ICCV 2021
Learning N:M Fine-grained Structured Sparse Neural Networks From Scratch
ICLR 2021
Group Fisher Pruning for Practical Network Compression
ICML 2021
Adversarial Robustness vs. Model Compression, or Both?
ICCV 2019
Deeply-Supervised Knowledge Synergy
CVPR 2019
HBONet: Harmonious Bottleneck on Two Orthogonal Dimensions
ICCV 2019
Explicit Loss-Error-Aware Quantization for Low-Bit Deep Neural Networks
CVPR 2018