Bo Yang
72 papers · 2013–2026 · 14 conferences · across top CS/AI conferences
Achievements
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πΊοΈ Taxonomy Completionist (17) π§ Keyword Pioneer π Renaissance Researcher (6) π Interdisciplinary Bridge π Conference Polyglot (14)
π
Academic Marathon
(12)
πΊοΈ
Taxonomy Completionist
(17)
π
Renaissance Researcher
(6)
π
Grand Slam
π¬
Deep Specialist
(18)
π
Keyword Champion
ποΈ
Keyword Collector
(307)
β‘
Prolific Year
(10)
π
Conference Pioneer
π
Trend Setter
π
Century Club
(67)
π₯
Unstoppable
(9)
β
The Questioner
(4)
Conferences
AAAI (13)
CVPR (12)
IJCAI (12)
NIPS (12)
ICCV (5)
ICML (5)
ACL (3)
ICLR (3)
EMNLP (2)
AISTATS (1)
COLING (1)
ECCV (1)
INTERSPEECH (1)
WACV (1)
Top co-authors
Keywords
semantic segmentation
(7)
point cloud
(6)
3d reconstruction
(5)
implicit representation
(4)
graph neural network
(4)
unsupervised learning
(4)
3d vision
(4)
neural rendering
(3)
human pose estimation
(3)
3d pose estimation
(3)
multimodal large language model
(3)
recommendation system
(3)
dynamical system
(3)
federated learning
(3)
surrogate model
(3)
temporal convolutional network
(3)
surface reconstruction
(3)
semi-supervised learning
(2)
automatic speech recognition
(2)
instance segmentation
(2)
Papers
MISF: MLLM Guided Iterative Sample Filtering for Data Fault Detection
AAAI 2026
Dynamics of Cognitive Heterogeneity: Investigating Behavioral Biases in Multi-Stage Supply Chains with LLM-Based Simulation
ACL 2026
SkyMoE: A Vision-Language Foundation Model for Enhancing Geospatial Interpretation with Mixture of Experts
AAAI 2026
CCFQA: A Benchmark for Cross-Lingual and Cross-Modal Speech and Text Factuality Evaluation
AAAI 2026
Single-Stage fMRI-to-3D Reconstruction via Viewpoint-Aware Embedding and Hierarchical Guidance
AAAI 2026
State Feedback Enhanced Graph Differential Equations for Multivariate Time Series Forecasting
IJCAI 2025
Distilling A Universal Expert from Clustered Federated Learning
IJCAI 2025
TRACE: Learning 3D Gaussian Physical Dynamics from Multi-view Videos
ICCV 2025
LogoSP: Local-global Grouping of Superpoints for Unsupervised Semantic Segmentation of 3D Point Clouds
CVPR 2025
FreeGave: 3D Physics Learning from Dynamic Videos by Gaussian Velocity
CVPR 2025
Towards Generalizable Neural Simulators: Addressing Distribution Shifts Induced by Environmental and Temporal Variations
IJCAI 2025
Improving Adversarial Transferability on Vision Transformers via Forward Propagation Refinement
CVPR 2025
GigaSpeech 2: An Evolving, Large-Scale and Multi-domain ASR Corpus for Low-Resource Languages with Automated Crawling, Transcription and Refinement
ACL 2025
Making LLMs Better Many-to-Many Speech-to-Text Translators with Curriculum Learning
ACL 2025
Conditional Prediction ROC Bands for Graph Classification
AISTATS 2025
GrabS: Generative Embodied Agent for 3D Object Segmentation without Scene Supervision
ICLR 2025
RayletDF: Raylet Distance Fields for Generalizable 3D Surface Reconstruction from Point Clouds or Gaussians
ICCV 2025
UTMath: A Benchmark for Math Evaluation with Unit Test
EMNLP 2025
unMORE: Unsupervised Multi-Object Segmentation via Center-Boundary Reasoning
ICML 2025
Code-Generated Graph Representations Using Multiple LLM Agents for Material Properties Prediction
ICML 2025
Improving Integrated Gradient-based Transferable Adversarial Examples by Refining the Integration Path
AAAI 2025
Multifaceted User Modeling in Recommendation: A Federated Foundation Models Approach
AAAI 2025
Stochastic Neural Simulator for Generalizing Dynamical Systems across Environments
IJCAI 2024
Federated Adaptation for Foundation Model-based Recommendations
IJCAI 2024
Fine-Grained Prototypes Distillation for Few-Shot Object Detection
AAAI 2024
In-Context Decision Transformer: Reinforcement Learning via Hierarchical Chain-of-Thought
ICML 2024
OSN: Infinite Representations of Dynamic 3D Scenes from Monocular Videos
ICML 2024
Decision Mamba: Reinforcement Learning via Hybrid Selective Sequence Modeling
NIPS 2024
NVFi: Neural Velocity Fields for 3D Physics Learning from Dynamic Videos
NIPS 2023
RayDF: Neural Ray-surface Distance Fields with Multi-view Consistency
NIPS 2023
Learning Generalizable Agents via Saliency-guided Features Decorrelation
NIPS 2023
OPT-GAN: A Broad-Spectrum Global Optimizer for Black-Box Problems by Learning Distribution
AAAI 2023
GrowSP: Unsupervised Semantic Segmentation of 3D Point Clouds
CVPR 2023
NeUDF: Leaning Neural Unsigned Distance Fields With Volume Rendering
CVPR 2023
NeAT: Learning Neural Implicit Surfaces With Arbitrary Topologies From Multi-View Images
CVPR 2023
DM-NeRF: 3D Scene Geometry Decomposition and Manipulation from 2D Images
ICLR 2023
STS-GAN: Can We Synthesize Solid Texture with High Fidelity from Arbitrary 2D Exemplar?
IJCAI 2023
Do We Need an Encoder-Decoder to Model Dynamical Systems on Networks?
IJCAI 2023
Dual Personalization on Federated Recommendation
IJCAI 2023
3PSDF: Three-Pole Signed Distance Function for Learning Surfaces With Arbitrary Topologies
CVPR 2022
Promising or Elusive? Unsupervised Object Segmentation from Real-world Single Images
NIPS 2022
OGC: Unsupervised 3D Object Segmentation from Rigid Dynamics of Point Clouds
NIPS 2022
Towards Robust Off-Policy Learning for Runtime Uncertainty
AAAI 2022
A Probabilistic Graphical Model Based on Neural-Symbolic Reasoning for Visual Relationship Detection
CVPR 2022
SQN: Weakly-Supervised Semantic Segmentation of Large-Scale 3D Point Clouds
ECCV 2022
HSDF: Hybrid Sign and Distance Field for Modeling Surfaces with Arbitrary Topologies
NIPS 2022
Graph and Temporal Convolutional Networks for 3D Multi-person Pose Estimation in Monocular Videos
AAAI 2021
SpinNet: Learning a General Surface Descriptor for 3D Point Cloud Registration
CVPR 2021
Context-Sensitive Temporal Feature Learning for Gait Recognition
ICCV 2021
GRF: Learning a General Radiance Field for 3D Representation and Rendering
ICCV 2021
Monocular 3D Multi-Person Pose Estimation by Integrating Top-Down and Bottom-Up Networks
CVPR 2021
Towards Semantic Segmentation of Urban-Scale 3D Point Clouds: A Dataset, Benchmarks and Challenges
CVPR 2021
Learning Interpretable Decision Rule Sets: A Submodular Optimization Approach
NIPS 2021
Cost-aware Graph Generation: A Deep Bayesian Optimization Approach
AAAI 2021
OctField: Hierarchical Implicit Functions for 3D Modeling
NIPS 2021
How to leverage the multimodal EHR data for better medical prediction?
EMNLP 2021
Geom-GCN: Geometric Graph Convolutional Networks
ICLR 2020
RandLA-Net: Efficient Semantic Segmentation of Large-Scale Point Clouds
CVPR 2020
Curvature Regularization to Prevent Distortion in Graph Embedding
NIPS 2020
Finding Second-Order Stationary Points Efficiently in Smooth Nonconvex Linearly Constrained Optimization Problems
NIPS 2020
3D Human Pose Estimation Using Spatio-Temporal Networks with Explicit Occlusion Training
AAAI 2020
ATCSpeech: A Multilingual Pilot-Controller Speech Corpus from Real Air Traffic Control Environment
INTERSPEECH 2020
Spatial-Content Image Search in Complex Scenes
WACV 2020
Topology Optimization based Graph Convolutional Network
IJCAI 2019
Occlusion-Aware Networks for 3D Human Pose Estimation in Video
ICCV 2019
Deep Bayesian Optimization on Attributed Graphs
AAAI 2019
Learning Object Bounding Boxes for 3D Instance Segmentation on Point Clouds
NIPS 2019
3D-PhysNet: Learning the Intuitive Physics of Non-Rigid Object Deformations
IJCAI 2018
A Pseudo Label based Dataless Naive Bayes Algorithm for Text Classification with Seed Words
COLING 2018
Keeping in Touch with Collaborative UAVs: A Deep Reinforcement Learning Approach
IJCAI 2018
Towards K-means-friendly Spaces: Simultaneous Deep Learning and Clustering
ICML 2017
Social Collaborative Filtering by Trust
IJCAI 2013