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Tianyu Guo

27 papers · 2019–2026 · 8 conferences · across top CS/AI conferences

Achievements

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+14 more ↓ 🌈 Renaissance Researcher (6) πŸŒ‰ Interdisciplinary Bridge 🌍 Conference Polyglot (8) πŸƒ Academic Marathon (6) πŸ—ΊοΈ Taxonomy Completionist (55)
πŸ—ΊοΈ Taxonomy Completionist (55) 🐝 Cross-Pollinator (15) 🌍 Conference Polyglot (8) 🀝 Dynamic Duo (11) πŸ‘‘ Triple Crown πŸ† Grand Slam 🧬 Topic Evolution πŸ“ˆ Trend Setter ❓ The Questioner (2) πŸ’Ž Century Club (26) πŸš€ Conference Pioneer πŸ—ƒοΈ Keyword Collector (133) ⚑ Prolific Year (7) πŸ”₯ Unstoppable (7)

Conferences

AAAI (8) NIPS (7) CVPR (4) ICML (3) NAACL (2) ACML (1) ICCV (1) ICLR (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