Nan Zhang
20 papers · 2015–2026 · 11 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (11) π Academic Marathon (10) π Interdisciplinary Bridge π§ Keyword Pioneer π Cross-Pollinator (11)
π
Renaissance Researcher
(8)
πΊοΈ
Taxonomy Completionist
(49)
π
Interdisciplinary Bridge
π₯
Mega-Team
(40)
β‘
Prolific Year
(7)
π
Conference Pioneer
ποΈ
Keyword Collector
(98)
π
Century Club
(19)
β
The Questioner
Conferences
EMNLP (4)
AAAI (3)
ACL (3)
ICCV (2)
NAACL (2)
COLING (1)
CVPR (1)
ICLR (1)
IJCAI (1)
MICCAI (1)
UAI (1)
Top co-authors
Research topics
Keywords
large language model
(4)
weakly supervised learning
(2)
zero-shot learning
(2)
vision language model
(2)
point cloud segmentation
(2)
multi-task learning
(1)
benchmark evaluation
(1)
contrastive learning
(1)
change detection
(1)
domain adaptation
(1)
text classification
(1)
scene understanding
(1)
hierarchical classification
(1)
epistemic uncertainty
(1)
semantic segmentation
(1)
factual accuracy
(1)
self-attention mechanism
(1)
knowledge extraction
(1)
chain-of-thought reasoning
(1)
object detection
(1)
Papers
Vista: Scene-Aware Optimization for Streaming Video Question Answering Under Post-Hoc Queries
AAAI 2026
Point Cloud Semantic Segmentation with Sparse and Inhomogeneous Annotations
AAAI 2025
RAGEval: Scenario Specific RAG Evaluation Dataset Generation Framework
ACL 2025
TaxoAdapt: Aligning LLM-Based Multidimensional Taxonomy Construction to Evolving Research Corpora
ACL 2025
RATE-Nav: Region-Aware Termination Enhancement for Zero-shot Object Navigation with Vision-Language Models
ACL 2025
MIND: Towards Immersive Psychological Healing with Multi-Agent Inner Dialogue
EMNLP 2025
Understanding the Thinking Process of Reasoning Models: A Perspective from Schoenfeldβs Episode Theory
EMNLP 2025
HRScene: How Far Are VLMs from Effective High-Resolution Image Understanding?
ICCV 2025
SiReRAG: Indexing Similar and Related Information for Multihop Reasoning
ICLR 2025
Pruning as a Domain-specific LLM Extractor
NAACL 2024
Less Is More: Label Recommendation for Weakly Supervised Point Cloud Semantic Segmentation
AAAI 2024
PEaCE: A Chemistry-Oriented Dataset for Optical Character Recognition on Scientific Documents
COLING 2024
SBC-AL: Structure and Boundary Consistency-based Active Learning for Medical Image Segmentation
MICCAI 2024
Fair Abstractive Summarization of Diverse Perspectives
NAACL 2024
LLMs Assist NLP Researchers: Critique Paper (Meta-)Reviewing
EMNLP 2024
Bias-aware Boolean Matrix Factorization Using Disentangled Representation Learning
UAI 2024
Improving Graph Representation for Point Cloud Segmentation via Attentive Filtering
CVPR 2023
FaMeSumm: Investigating and Improving Faithfulness of Medical Summarization
EMNLP 2023
Null-Space Diffusion Sampling for Zero-Shot Point Cloud Completion
IJCAI 2023
Fine-Grained Change Detection of Misaligned Scenes With Varied Illuminations
ICCV 2015