Binbin Lin
28 papers · 2011–2026 · 10 venues · across top CS/AI venues
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Research topics
Artificial Intelligence
(16)
Machine Learning
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Deep Learning
(14)
Core AI
(14)
Computer Vision
(12)
Analysis
(10)
Learning Types Β· Machine Learning
(10)
Core Methods
(8)
Learning Types Β· Deep Learning
(6)
Optimization & Theory
(6)
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Domain-Specific
(5)
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Models
(5)
Application Areas
(4)
Keywords
autonomous driving
(6)
3d object detection
(5)
manifold learning
(4)
large language model
(4)
point cloud
(4)
semantic segmentation
(4)
gradient field
(3)
pseudo label
(3)
vector field
(3)
semi-supervised learning
(2)
self-supervised learning
(2)
data augmentation
(2)
trajectory prediction
(2)
interactive learning
(1)
contrastive learning
(1)
few-shot learning
(1)
feature learning
(1)
3d reconstruction
(1)
dimensionality reduction
(1)
multi-task learning
(1)
Papers
Enhancing Spatial Reasoning Through Visual and Textual Thinking
AAAI 2026
FGD-Align: Pluralistic Alignment for Large Language Models via Fuzzy Group Decision-Making
AAAI 2026
Depth Any Video with Scalable Synthetic Data
ICLR 2025
Enhancing Chain-of-Thought Reasoning with Critical Representation Fine-tuning
ACL 2025
STraj: Self-training for Bridging the Cross-Geography Gap in Trajectory Prediction
AAAI 2025
Adapt2Reward: Adapting Video-Language Models to Generalizable Robotic Rewards via Failure Prompts
ECCV 2024
AutoManual: Constructing Instruction Manuals by LLM Agents via Interactive Environmental Learning
NeurIPS 2024
Delving into the Reversal Curse: How Far Can Large Language Models Generalize?
NeurIPS 2024
Enhancing Multiple Dimensions of Trustworthiness in LLMs via Sparse Activation Control
NeurIPS 2024
From Yes-Men to Truth-Tellers: Addressing Sycophancy in Large Language Models with Pinpoint Tuning
ICML 2024
G2LTraj: A Global-to-Local Generation Approach for Trajectory Prediction
IJCAI 2024
Low Precision Local Training is Enough for Federated Learning
NeurIPS 2024
Pseudo Label Refinery for Unsupervised Domain Adaptation on Cross-dataset 3D Object Detection
CVPR 2024
Semi-supervised 3D Object Detection with PatchTeacher and PillarMix
AAAI 2024
TagCLIP: A Local-to-Global Framework to Enhance Open-Vocabulary Multi-Label Classification of CLIP without Training
AAAI 2024
TASeg: Temporal Aggregation Network for LiDAR Semantic Segmentation
CVPR 2024
Towards Fine-Grained HBOE with Rendered Orientation Set and Laplace Smoothing
AAAI 2024
UniPAD: A Universal Pre-training Paradigm for Autonomous Driving
CVPR 2024
CLIP Is Also an Efficient Segmenter: A Text-Driven Approach for Weakly Supervised Semantic Segmentation
CVPR 2023
GD-MAE: Generative Decoder for MAE Pre-Training on LiDAR Point Clouds
CVPR 2023
One-shot Implicit Animatable Avatars with Model-based Priors
ICCV 2023
PVT-SSD: Single-Stage 3D Object Detector With Point-Voxel Transformer
CVPR 2023
Towards In-Distribution Compatible Out-of-Distribution Detection
AAAI 2023
CrossFormer: A Versatile Vision Transformer Hinging on Cross-scale Attention
ICLR 2022
Geodesic Distance Function Learning via Heat Flow on Vector Fields
ICML 2014
Parallel Vector Field Embedding
JMLR 2013
Multi-task Vector Field Learning
NeurIPS 2012
Semi-supervised Regression via Parallel Field Regularization
NeurIPS 2011