Tianyu Guo
27 papers · 2019–2026 · 8 venues · across top CS/AI venues
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Research topics
Machine Learning
(19)
Deep Learning
(14)
Learning Types Β· Deep Learning
(12)
Artificial Intelligence
(10)
Computer Vision
(10)
Core AI
(10)
Analysis
(8)
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Architectures
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Optimization & Theory
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Natural Language Processing
(3)
Models
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Resources & Methods
(2)
Keywords
knowledge distillation
(4)
representation learning
(4)
model compression
(4)
generative adversarial network
(3)
large language model
(3)
person re-identification
(3)
federated learning
(2)
transformer architecture
(2)
student network
(2)
neural network
(2)
transfer learning
(2)
adversarial training
(2)
semantic segmentation
(2)
adversarial robustness
(1)
vision transformer
(1)
semi-supervised learning
(1)
robust optimization
(1)
model quantization
(1)
adversarial learning
(1)
domain adaptation
(1)
Papers
SPEED-Q: Staged Processing with Enhanced Distillation Towards Efficient Low-Bit On-Device VLM Quantization
AAAI 2026
CFinBench: A Comprehensive Chinese Financial Benchmark for Large Language Models
NAACL 2025
DenseSSM: State Space Models with Dense Hidden Connection for Efficient Large Language Models
NAACL 2025
L-Man: A Large Multi-modal Model Unifying Human-centric Tasks
AAAI 2025
MoRAgent: Parameter Efficient Agent Tuning with Mixture-of-Roles
ICML 2025
Collaborative Heterogeneous Causal Inference Beyond Meta-analysis
ICML 2024
Cross-video Identity Correlating for Person Re-identification Pre-training
NeurIPS 2024
Enhancing Large Language Models through Adaptive Tokenizers
NeurIPS 2024
How Do Transformers Learn In-Context Beyond Simple Functions? A Case Study on Learning with Representations
ICLR 2024
Improving Panoptic Narrative Grounding by Harnessing Semantic Relationships and Visual Confirmation
AAAI 2024
SAM as the Guide: Mastering Pseudo-Label Refinement in Semi-Supervised Referring Expression Segmentation
ICML 2024
UFineBench: Towards Text-based Person Retrieval with Ultra-fine Granularity
CVPR 2024
A Multi-Surrogate Assisted Salp Swarm Feature Selection Algorithm with Multi-Population Adaptive Generation Strategy for Classification
ACML 2023
FSAR: Federated Skeleton-based Action Recognition with Adaptive Topology Structure and Knowledge Distillation
ICCV 2023
PUe: Biased Positive-Unlabeled Learning Enhancement by Causal Inference
NeurIPS 2023
Towards Higher Ranks via Adversarial Weight Pruning
NeurIPS 2023
What can a Single Attention Layer Learn? A Study Through the Random Features Lens
NeurIPS 2023
When Visual Prompt Tuning Meets Source-Free Domain Adaptive Semantic Segmentation
NeurIPS 2023
Contrastive Learning from Extremely Augmented Skeleton Sequences for Self-Supervised Action Recognition
AAAI 2022
Pose-Guided Feature Disentangling for Occluded Person Re-identification Based on Transformer
AAAI 2022
Adversarial Robustness through Disentangled Representations
AAAI 2021
Learning Student Networks in the Wild
CVPR 2021
Pre-Trained Image Processing Transformer
CVPR 2021
Learning Student Networks with Few Data
AAAI 2020
On Positive-Unlabeled Classification in GAN
CVPR 2020
Learning from Bad Data via Generation
NeurIPS 2019
Smooth Deep Image Generator from Noises
AAAI 2019