Yukang Chen
31 papers · 2019–2026 · 6 venues · across top CS/AI venues
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Research topics
Deep Learning
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Machine Learning
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Artificial Intelligence
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Computer Vision
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Analysis
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Optimization & Theory Β· Machine Learning
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Natural Language Processing
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Domain-Specific
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Keywords
object detection
(6)
point cloud
(6)
3d object detection
(5)
multimodal learning
(5)
efficient computing
(5)
sparse convolution
(4)
neural architecture search
(4)
large language model
(4)
semantic segmentation
(4)
3d semantic segmentation
(3)
sparse attention
(3)
vision-language model
(3)
visual language model
(2)
scale invariance
(2)
point cloud processing
(2)
computational efficiency
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parameter-efficient fine-tuning
(2)
3d vision
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autonomous driving
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model compression
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Papers
TraveLLaMA: A Multimodal Travel Assistant with Large-Scale Dataset and Structured Reasoning
AAAI 2026
LongVILA: Scaling Long-Context Visual Language Models for Long Videos
ICLR 2025
Lyra: An Efficient and Speech-Centric Framework for Omni-Cognition
ICCV 2025
Mixture-of-Scores: Robust Image-Text Data Valuation via Three Lines of Code
ICCV 2025
NVILA: Efficient Frontier Visual Language Models
CVPR 2025
SparseVILA: Decoupling Visual Sparsity for Efficient VLM Inference
ICCV 2025
VisionZip: Longer is Better but Not Necessary in Vision Language Models
CVPR 2025
Denoising Diffusion Step-aware Models
ICLR 2024
E2-LLM: Efficient and Extreme Length Extension of Large Language Models
ACL 2024
LISA: Reasoning Segmentation via Large Language Model
CVPR 2024
LongLoRA: Efficient Fine-tuning of Long-Context Large Language Models
ICLR 2024
Low-Rank Approximation for Sparse Attention in Multi-Modal LLMs
CVPR 2024
MR-Ben: A Meta-Reasoning Benchmark for Evaluating System-2 Thinking in LLMs
NeurIPS 2024
OA-CNNs: Omni-Adaptive Sparse CNNs for 3D Semantic Segmentation
CVPR 2024
RL-GPT: Integrating Reinforcement Learning and Code-as-policy
NeurIPS 2024
SaCo Loss: Sample-wise Affinity Consistency for Vision-Language Pre-training
CVPR 2024
Data Pruning via Moving-one-Sample-out
NeurIPS 2023
FocalFormer3D: Focusing on Hard Instance for 3D Object Detection
ICCV 2023
IST-Net: Prior-Free Category-Level Pose Estimation with Implicit Space Transformation
ICCV 2023
LargeKernel3D: Scaling Up Kernels in 3D Sparse CNNs
CVPR 2023
Mask-Attention-Free Transformer for 3D Instance Segmentation
ICCV 2023
Spherical Transformer for LiDAR-Based 3D Recognition
CVPR 2023
VoxelNeXt: Fully Sparse VoxelNet for 3D Object Detection and Tracking
CVPR 2023
Focal Sparse Convolutional Networks for 3D Object Detection
CVPR 2022
Spatial Pruned Sparse Convolution for Efficient 3D Object Detection
NeurIPS 2022
Voxel Field Fusion for 3D Object Detection
CVPR 2022
Multi-Scale Aligned Distillation for Low-Resolution Detection
CVPR 2021
Scale-Aware Automatic Augmentation for Object Detection
CVPR 2021
Learning Dynamic Routing for Semantic Segmentation
CVPR 2020
DetNAS: Backbone Search for Object Detection
NeurIPS 2019
RENAS: Reinforced Evolutionary Neural Architecture Search
CVPR 2019