Tianyu Guo
27 papers · 2019–2026 · 8 conferences · across top CS/AI conferences
Achievements
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π Renaissance Researcher (6) π Interdisciplinary Bridge π Conference Polyglot (8) π Academic Marathon (6) πΊοΈ Taxonomy Completionist (55)
πΊοΈ
Taxonomy Completionist
(55)
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Cross-Pollinator
(15)
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Conference Polyglot
(8)
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Dynamic Duo
(11)
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Triple Crown
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Grand Slam
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Topic Evolution
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Trend Setter
β
The Questioner
(2)
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Century Club
(26)
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Conference Pioneer
ποΈ
Keyword Collector
(133)
β‘
Prolific Year
(7)
π₯
Unstoppable
(7)
Conferences
AAAI (8)
NIPS (7)
CVPR (4)
ICML (3)
NAACL (2)
ACML (1)
ICCV (1)
ICLR (1)
Top co-authors
Keywords
knowledge distillation
(4)
model compression
(4)
representation learning
(3)
large language model
(3)
generative adversarial network
(3)
person re-identification
(3)
neural network
(2)
transfer learning
(2)
student network
(2)
adversarial training
(2)
semantic segmentation
(2)
vision transformer
(1)
model quantization
(1)
adversarial robustness
(1)
semi-supervised learning
(1)
robust optimization
(1)
transformer architecture
(1)
federated learning
(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
L-Man: A Large Multi-modal Model Unifying Human-centric Tasks
AAAI 2025
MoRAgent: Parameter Efficient Agent Tuning with Mixture-of-Roles
ICML 2025
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
Improving Panoptic Narrative Grounding by Harnessing Semantic Relationships and Visual Confirmation
AAAI 2024
Enhancing Large Language Models through Adaptive Tokenizers
NIPS 2024
Cross-video Identity Correlating for Person Re-identification Pre-training
NIPS 2024
SAM as the Guide: Mastering Pseudo-Label Refinement in Semi-Supervised Referring Expression Segmentation
ICML 2024
Collaborative Heterogeneous Causal Inference Beyond Meta-analysis
ICML 2024
How Do Transformers Learn In-Context Beyond Simple Functions? A Case Study on Learning with Representations
ICLR 2024
UFineBench: Towards Text-based Person Retrieval with Ultra-fine Granularity
CVPR 2024
PUe: Biased Positive-Unlabeled Learning Enhancement by Causal Inference
NIPS 2023
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
Towards Higher Ranks via Adversarial Weight Pruning
NIPS 2023
When Visual Prompt Tuning Meets Source-Free Domain Adaptive Semantic Segmentation
NIPS 2023
What can a Single Attention Layer Learn? A Study Through the Random Features Lens
NIPS 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
Pre-Trained Image Processing Transformer
CVPR 2021
Adversarial Robustness through Disentangled Representations
AAAI 2021
Learning Student Networks in the Wild
CVPR 2021
Learning Student Networks with Few Data
AAAI 2020
On Positive-Unlabeled Classification in GAN
CVPR 2020
Smooth Deep Image Generator from Noises
AAAI 2019
Learning from Bad Data via Generation
NIPS 2019