Nanqing Dong
16 papers · 2019–2026 · 7 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 π Academic Marathon Β· Sprint πΊοΈ Taxonomy Completionist (36) π Grand Slam
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Prolific Year Β· Productive
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Renaissance Researcher
(6)
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Trend Setter
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Century Club Β· Bronze
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Research topics
Keywords
large language model
(5)
instruction tuning
(2)
domain knowledge
(2)
benchmark evaluation
(2)
self-supervised learning
(2)
domain adaptation
(2)
object detection
(1)
image segmentation
(1)
contrastive learning
(1)
computer vision
(1)
text classification
(1)
curriculum learning
(1)
image restoration
(1)
semantic segmentation
(1)
convergence analysis
(1)
text generation
(1)
question answering
(1)
automated data synthesis
(1)
image denoising
(1)
non-convex optimization
(1)
Papers
Knowledge-to-Verification: Exploring RLVR for LLMs in Knowledge-Intensive Domains
ACL 2026
Biology-Instructions: A Dataset and Benchmark for Multi-Omics Sequence Understanding Capability of Large Language Models
EMNLP 2025
Curriculum Learning for Biological Sequence Prediction: The Case of De Novo Peptide Sequencing
ICML 2025
Many Heads Are Better Than One: Improved Scientific Idea Generation by A LLM-Based Multi-Agent System
ACL 2025
ROGRAG: A Robustly Optimized GraphRAG Framework
ACL 2025
SeedBench: A Multi-task Benchmark for Evaluating Large Language Models in Seed Science
ACL 2025
Towards Efficient and Intelligent Laser Weeding: Method and Dataset for Weed Stem Detection
AAAI 2025
Universal Biological Sequence Reranking for Improved De Novo Peptide Sequencing
ICML 2025
An Embarrassingly Simple Approach to Enhance Transformer Performance in Genomic Selection for Crop Breeding
IJCAI 2024
Benchmarking Fish Dataset and Evaluation Metric in Keypoint Detection - Towards Precise Fish Morphological Assessment in Aquaculture Breeding
IJCAI 2024
ContraNovo: A Contrastive Learning Approach to Enhance De Novo Peptide Sequencing
AAAI 2024
Empowering and Assessing the Utility of Large Language Models in Crop Science
NeurIPS 2024
Model Decides How to Tokenize: Adaptive DNA Sequence Tokenization with MxDNA
NeurIPS 2024
Revealing Hierarchical Structure of Leaf Venations in Plant Science via Label-Efficient Segmentation: Dataset and Method
IJCAI 2024
Residual Contrastive Learning for Image Reconstruction: Learning Transferable Representations from Noisy Images
IJCAI 2022
Toward Understanding the Impact of Staleness in Distributed Machine Learning
ICLR 2019