Haonan Wang
31 papers · 2019–2026 · 13 conferences · across top CS/AI conferences
Achievements
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🌍 Conference Polyglot (12) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🏃 Academic Marathon (7)
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Interdisciplinary Bridge
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Conference Polyglot
(12)
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Academic Marathon
(7)
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Mega-Team
(53)
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Keyword Collector
(141)
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Prolific Year
(5)
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(29)
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(6)
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The Questioner
Conferences
NIPS (10)
ICCV (5)
CVPR (4)
AAAI (2)
ACL (2)
AISTATS (1)
ECCV (1)
EMNLP (1)
ICLR (1)
ICML (1)
IJCAI (1)
NAACL (1)
WACV (1)
Top co-authors
Research topics
Keywords
diffusion model
(4)
neural network
(3)
contrastive learning
(2)
generative adversarial network
(2)
graph neural network
(2)
image generation
(2)
semantic search
(2)
event camera
(2)
medical image segmentation
(2)
semantic segmentation
(2)
large language model
(2)
semi-supervised learning
(2)
document retrieval
(2)
dataset distillation
(2)
domain generalization
(2)
motion estimation
(2)
transfer learning
(2)
feature learning
(1)
stochastic gradient
(1)
benchmark evaluation
(1)
Papers
LongSpec: Long-Context Lossless Speculative Decoding with Efficient Drafting and Verification
ACL 2026
CONCORD: Concept-Informed Diffusion for Dataset Distillation
WACV 2026
Beyond the Crowd: LLM-Augmented Community Notes for Governing Health Misinformation
ACL 2026
Getting More Juice Out of Your Data: Hard Pair Refinement Enhances Visual-Language Models Without Extra Data
NAACL 2025
Interpretable Bilingual Multimodal Large Language Model for Diverse Biomedical Tasks
ICLR 2025
Token Activation Map to Visually Explain Multimodal LLMs
ICCV 2025
STD-GS: Exploring Frame-Event Interaction for SpatioTemporal-Disentangled Gaussian Splatting to Reconstruct High-Dynamic Scene
ICCV 2025
TrackAny3D: Transferring Pretrained 3D Models for Category-unified 3D Point Cloud Tracking
ICCV 2025
Quantifying the Optimization and Generalization Advantages of Graph Neural Networks Over Multilayer Perceptrons
AISTATS 2025
Neurons: Emulating the Human Visual Cortex Improves Fidelity and Interpretability in fMRI-to-Video Reconstruction
ICCV 2025
From Noise to Nuance: Enriching Subjective Data Annotation through Qualitative Analysis
EMNLP 2025
Bridge Frame and Event: Common Spatiotemporal Fusion for High-Dynamic Scene Optical Flow
CVPR 2025
AllSpark: Reborn Labeled Features from Unlabeled in Transformer for Semi-Supervised Semantic Segmentation
CVPR 2024
Touchstone Benchmark: Are We on the Right Way for Evaluating AI Algorithms for Medical Segmentation?
NIPS 2024
Memory-Efficient Gradient Unrolling for Large-Scale Bi-level Optimization
NIPS 2024
Efficient Dataset Distillation via Minimax Diffusion
CVPR 2024
GTPT: Group-based Token Pruning Transformer for Efficient Human Pose Estimation
ECCV 2024
The Stronger the Diffusion Model, the Easier the Backdoor: Data Poisoning to Induce Copyright BreachesWithout Adjusting Finetuning Pipeline
ICML 2024
Extracting Motion and Appearance via Inter-Frame Attention for Efficient Video Frame Interpolation
CVPR 2023
Subclass-balancing Contrastive Learning for Long-tailed Recognition
ICCV 2023
Model-enhanced Vector Index
NIPS 2023
Complexity Matters: Rethinking the Latent Space for Generative Modeling
NIPS 2023
Towards Generic Semi-Supervised Framework for Volumetric Medical Image Segmentation
NIPS 2023
Deep Active Learning by Leveraging Training Dynamics
NIPS 2022
Understanding Programmatic Weak Supervision via Source-aware Influence Function
NIPS 2022
A Neural Corpus Indexer for Document Retrieval
NIPS 2022
UCTransNet: Rethinking the Skip Connections in U-Net from a Channel-Wise Perspective with Transformer
AAAI 2022
Exploring Explainable Selection to Control Abstractive Summarization
AAAI 2021
Transfer Learning of Graph Neural Networks with Ego-graph Information Maximization
NIPS 2021
Secure Deep Graph Generation with Link Differential Privacy
IJCAI 2021
Park: An Open Platform for Learning-Augmented Computer Systems
NIPS 2019