Dan Zhang
53 papers · 2011–2026 · 15 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (15) π§ Keyword Pioneer πΊοΈ Taxonomy Completionist (13) π Interdisciplinary Bridge π Academic Marathon (14)
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Academic Marathon
(14)
π
Cross-Pollinator
(12)
π
Renaissance Researcher
(10)
π
Keyword Champion
π₯
Mega-Team
(22)
π
Triple Crown
π§¬
Topic Evolution
π
Grand Slam
β
The Questioner
π
Trend Setter
π
Century Club
(49)
π₯
Unstoppable
(7)
ποΈ
Keyword Collector
(198)
β‘
Prolific Year
(8)
π
Conference Pioneer
Conferences
NIPS (10)
ACL (7)
ICLR (6)
EMNLP (5)
ICML (4)
MICCAI (4)
AAAI (3)
EACL (3)
WACV (3)
ICCV (2)
UAI (2)
CVPR (1)
ECCV (1)
IJCAI (1)
NAACL (1)
Top co-authors
Keywords
large language model
(9)
hallucination detection
(3)
semantic segmentation
(3)
vision-language model
(3)
generative adversarial network
(2)
benchmark evaluation
(2)
image segmentation
(2)
language model
(2)
reward model
(2)
vision language model
(2)
multiple instance learning
(2)
knowledge distillation
(2)
multimodal learning
(2)
pre-trained language model
(2)
generative model
(2)
data augmentation
(2)
image synthesis
(2)
instruction tuning
(2)
out-of-distribution detection
(2)
multi-agent system
(2)
Papers
Verification-Aware Planning for Multi-Agent Systems
EACL 2026
RECAP: REwriting Conversations for Intent Understanding in Agentic Planning
EACL 2026
VisionReward: Fine-Grained Multi-Dimensional Human Preference Learning for Image and Video Generation
AAAI 2026
SOAR: Semi-Supervised Open-Vocabulary Aerial Object Detection via Dual-Aware Enhanced Prior Denoising
AAAI 2026
CtrlNews: LLM-based Multi-Agent Controllable News Writing via Knowledge Gravitational Field
EMNLP 2025
VSTAR: Generative Temporal Nursing for Longer Dynamic Video Synthesis
ICLR 2025
LoftUp: Learning a Coordinate-Based Feature Upsampler for Vision Foundation Models
ICCV 2025
SPaR: Self-Play with Tree-Search Refinement to Improve Instruction-Following in Large Language Models
ICLR 2025
CLIP-DSA: Textual Knowledge-Guided Cerebrovascular Diseases Recognition in Multi-View Digital Subtraction Angiography
MICCAI 2025
How LLMs React to Industrial Spatio-Temporal Data? Assessing Hallucination with a Novel Traffic Incident Benchmark Dataset
NAACL 2025
Generative Uncertainty in Diffusion Models
UAI 2025
AndroidLab: Training and Systematic Benchmarking of Android Autonomous Agents
ACL 2025
A Survey of Post-Training Scaling in Large Language Models
ACL 2025
SceneGenAgent: Precise Industrial Scene Generation with Coding Agent
ACL 2025
IntelliCockpitBench: A Comprehensive Benchmark to Evaluate VLMs for Intelligent Cockpit
ACL 2025
FactLens: Benchmarking Fine-Grained Fact Verification
ACL 2025
Cross-Modal Graph Learning for Perivascular Spaces Segmentation
MICCAI 2025
DivGCL: A Graph Contrastive Learning Model for Diverse Recommendation
AAAI 2025
A Stronger Mixture of Low-Rank Experts for Fine-Tuning Foundation Models
ICML 2025
ZeroFlow: Overcoming Catastrophic Forgetting is Easier than You Think
ICML 2025
AIPOM: Agent-aware Interactive Planning for Multi-Agent Systems
EMNLP 2025
MPMNet: Modal Prior Mutual-support Network for Age-related Macular Degeneration Classification
MICCAI 2024
SciInstruct: a Self-Reflective Instruction Annotated Dataset for Training Scientific Language Models
NIPS 2024
ReST-MCTS*: LLM Self-Training via Process Reward Guided Tree Search
NIPS 2024
Renovating Names in Open-Vocabulary Segmentation Benchmarks
NIPS 2024
Fast yet Safe: Early-Exiting with Risk Control
NIPS 2024
AutoRE: Document-Level Relation Extraction with Large Language Models
ACL 2024
MEGAnno+: A Human-LLM Collaborative Annotation System
EACL 2024
ViewFormer: Exploring Spatiotemporal Modeling for Multi-View 3D Occupancy Perception via View-Guided Transformers
ECCV 2024
Adversarial Supervision Makes Layout-to-Image Diffusion Models Thrive
ICLR 2024
Directly Denoising Diffusion Models
ICML 2024
FactCHD: Benchmarking Fact-Conflicting Hallucination Detection
IJCAI 2024
DSNet: A Spatio-Temporal Consistency Network for Cerebrovascular Segmentation in Digital Subtraction Angiography Sequences
MICCAI 2024
Early-Exit Neural Networks with Nested Prediction Sets
UAI 2024
SciOL and MuLMS-Img: Introducing a Large-Scale Multimodal Scientific Dataset and Models for Image-Text Tasks in the Scientific Domain
WACV 2024
DeakinNLP at ProbSum 2023: Clinical Progress Note Summarization with Rules and Language ModelsClinical Progress Note Summarization with Rules and Languague Models
ACL 2023
GOOD: Exploring geometric cues for detecting objects in an open world
ICLR 2023
Controlling Text-to-Image Diffusion by Orthogonal Finetuning
NIPS 2023
Intra-Source Style Augmentation for Improved Domain Generalization
WACV 2023
Learning Sample Difficulty from Pre-trained Models for Reliable Prediction
NIPS 2023
Identification of Systematic Errors of Image Classifiers on Rare Subgroups
ICCV 2023
Towards Anytime Classification in Early-Exit Architectures by Enforcing Conditional Monotonicity
NIPS 2023
One-Shot Synthesis of Images and Segmentation Masks
WACV 2023
Panoptic-PHNet: Towards Real-Time and High-Precision LiDAR Panoptic Segmentation via Clustering Pseudo Heatmap
CVPR 2022
MEGAnno: Exploratory Labeling for NLP in Computational Notebooks
EMNLP 2022
Low-resource Interactive Active Labeling for Fine-tuning Language Models
EMNLP 2022
Multi-level Distillation of Semantic Knowledge for Pre-training Multilingual Language Model
EMNLP 2022
Multi-Class Uncertainty Calibration via Mutual Information Maximization-based Binning
ICLR 2021
You Only Need Adversarial Supervision for Semantic Image Synthesis
ICLR 2021
Understanding Anomaly Detection with Deep Invertible Networks through Hierarchies of Distributions and Features
NIPS 2020
Progressive Augmentation of GANs
NIPS 2019
MILEAGE: Multiple Instance LEArning with Global Embedding
ICML 2013
Multiple Instance Learning on Structured Data
NIPS 2011