Bin He
20 papers · 2019–2026 · 9 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge π Conference Polyglot (9) π Academic Marathon (6) π Renaissance Researcher (10) πΊοΈ Taxonomy Completionist (40)
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Interdisciplinary Bridge
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Academic Marathon
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Topic Evolution
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(2)
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(19)
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(7)
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Keyword Collector
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Conferences
AAAI (3)
ACL (3)
EMNLP (3)
ICCV (3)
NAACL (3)
ECCV (2)
CVPR (1)
ICML (1)
IJCAI (1)
Top co-authors
Keywords
pose estimation
(3)
knowledge graph
(3)
3d assembly
(2)
knowledge base
(2)
3d vision
(2)
graph neural network
(2)
transfer learning
(1)
data poisoning
(1)
reinforcement learning
(1)
scene understanding
(1)
object detection
(1)
prototype learning
(1)
video generation
(1)
self-supervised learning
(1)
feature extraction
(1)
few-shot learning
(1)
inductive reasoning
(1)
semantic parsing
(1)
multimodal learning
(1)
knowledge representation
(1)
Papers
ProActor: Timing-Aware Reinforcement Learning for Proactive Task Scheduling Agents
ACL 2026
Imagine: Image-Guided 3D Part Assembly with Structure Knowledge Graph
AAAI 2025
Bridging Training and Execution via Dynamic Directed Graph-Based Communication in Cooperative Multi-Agent Systems
AAAI 2025
Rotation Invariant Spatial Networks for Single-View Point Cloud Classification
IJCAI 2025
Align-A-Video: Deterministic Reward Tuning of Image Diffusion Models for Consistent Video Editing
CVPR 2025
Learning Efficient Robotic Garment Manipulation with Standardization
ICML 2025
Completing 3D Partial Assemblies with View-Consistent 2D-3D Correspondence
ICCV 2025
AnimatableDreamer: Text-Guided Non-rigid 3D Model Generation and Reconstruction with Canonical Score Distillation
ECCV 2024
3D Assembly Completion
AAAI 2023
s-Adaptive Decoupled Prototype for Few-Shot Object Detection
ICCV 2023
KQA Pro: A Dataset with Explicit Compositional Programs for Complex Question Answering over Knowledge Base
ACL 2022
UniDS: A Unified Dialogue System for Chit-Chat and Task-oriented Dialogues
ACL 2022
Benchmarking Commonsense Knowledge Base Population with an Effective Evaluation Dataset
EMNLP 2021
A Global Past-Future Early Exit Method for Accelerating Inference of Pre-trained Language Models
NAACL 2021
Be Careful about Poisoned Word Embeddings: Exploring the Vulnerability of the Embedding Layers in NLP Models
NAACL 2021
Neural Network Surgery: Injecting Data Patterns into Pre-trained Models with Minimal Instance-wise Side Effects
NAACL 2021
BERT-MK: Integrating Graph Contextualized Knowledge into Pre-trained Language Models
EMNLP 2020
Pretrain-KGE: Learning Knowledge Representation from Pretrained Language Models
EMNLP 2020
FHDeΒ²Net: Full High Definition Demoireing Network
ECCV 2020
Mop Moire Patterns Using MopNet
ICCV 2019