Lu Tian
22 papers · 2015–2025 · 11 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
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Machine Learning
(17)
Deep Learning
(13)
Computer Vision
(11)
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Optimization & Theory Β· Machine Learning
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Analysis
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Optimization & Theory Β· Deep Learning
(6)
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vision transformer
(5)
model compression
(4)
object detection
(3)
semantic segmentation
(3)
person re-identification
(3)
image retrieval
(2)
autonomous driving
(2)
model pruning
(2)
image search
(2)
large language model
(2)
quantization-aware training
(2)
efficient computing
(2)
scene understanding
(1)
image segmentation
(1)
domain adaptation
(1)
statistical inference
(1)
representation learning
(1)
self-attention mechanism
(1)
image generation
(1)
contrastive learning
(1)
Papers
Amphista: Bi-directional Multi-head Decoding for Accelerating LLM Inference
NAACL 2025
EGSRAL:An Enhanced 3D Gaussian Splatting Based Renderer with Automated Labeling for Large-Scale Driving Scene
AAAI 2025
Enhancing One-Shot Pruned Pre-trained Language Models through Sparse-Dense-Sparse Mechanism
COLING 2025
DiP-GO: A Diffusion Pruner via Few-step Gradient Optimization
NeurIPS 2024
DL-QAT: Weight-Decomposed Low-Rank Quantization-Aware Training for Large Language Models
EMNLP 2024
Enhancing Vision Transformer: Amplifying Non-Linearity in Feedforward Network Module
ICML 2024
QT-ViT: Improving Linear Attention in ViT with Quadratic Taylor Expansion
NeurIPS 2024
UPDP: A Unified Progressive Depth Pruner for CNN and Vision Transformer
AAAI 2024
FDViT: Improve the Hierarchical Architecture of Vision Transformer
ICCV 2023
Cross-Dataset Collaborative Learning for Semantic Segmentation in Autonomous Driving
AAAI 2022
Dual Cross-Attention Learning for Fine-Grained Visual Categorization and Object Re-Identification
CVPR 2022
Dynamic Sparse R-CNN
CVPR 2022
Improving Low-Precision Network Quantization via Bin Regularization
ICCV 2021
RankDetNet: Delving Into Ranking Constraints for Object Detection
CVPR 2021
Towards Discriminative Representation Learning for Unsupervised Person Re-Identification
ICCV 2021
Dual Super-Resolution Learning for Semantic Segmentation
CVPR 2020
Feature Variance Regularization: A Simple Way to Improve the Generalizability of Neural Networks
AAAI 2020
ProgressFace: Scale-Aware Progressive Learning for Face Detection
ECCV 2020
A Calibration Metric for Risk Scores with Survival Data
MLHC 2019
Communication-efficient Distributed Sparse Linear Discriminant Analysis
AISTATS 2017
Query-Adaptive Late Fusion for Image Search and Person Re-Identification
CVPR 2015
Scalable Person Re-Identification: A Benchmark
ICCV 2015