Xiaotong Li
19 papers · 2021–2026 · 9 conferences · across top CS/AI conferences
Achievements
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🌉 Interdisciplinary Bridge 🌍 Conference Polyglot (8) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🐝 Cross-Pollinator (9)
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Hot Topic Early Bird
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Interdisciplinary Bridge
🌍
Conference Polyglot
(8)
🧬
Topic Evolution
🏆
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Keyword Collector
(89)
📈
Trend Setter
💎
Century Club
(18)
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Unstoppable
(5)
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Prolific Year
(5)
Conferences
ACL (3)
ICCV (3)
ICLR (3)
NIPS (3)
CVPR (2)
ICML (2)
AAAI (1)
ECCV (1)
IJCAI (1)
Top co-authors
Keywords
protein language model
(3)
domain adaptation
(2)
knowledge graph
(2)
multimodal learning
(2)
transfer learning
(2)
model selection
(2)
representation learning
(2)
domain generalization
(1)
uncertainty quantification
(1)
semantic segmentation
(1)
video segmentation
(1)
self-supervised learning
(1)
knowledge distillation
(1)
preference optimization
(1)
convex optimization
(1)
feature learning
(1)
test-time adaptation
(1)
point cloud
(1)
multi-modal learning
(1)
image captioning
(1)
Papers
Hierarchical Direction Perception via Atomic Dot-Product Operators for Rotation-Invariant Point Clouds Learning
AAAI 2026
Enhancing Safe and Controllable Protein Generation via Knowledge Preference Optimization
ACL 2025
Beyond Entropy: Region Confidence Proxy for Wild Test-Time Adaptation
ICML 2025
EVEv2: Improved Baselines for Encoder-Free Vision-Language Models
ICCV 2025
Adaptive Dual Uncertainty Optimization: Boosting Monocular 3D Object Detection under Test-Time Shifts
ICCV 2025
Boosting LLM’s Molecular Structure Elucidation with Knowledge Enhanced Tree Search Reasoning
ACL 2025
DenseFusion-1M: Merging Vision Experts for Comprehensive Multimodal Perception
NIPS 2024
Unveiling Encoder-Free Vision-Language Models
NIPS 2024
DePLM: Denoising Protein Language Models for Property Optimization
NIPS 2024
InstructProtein: Aligning Human and Protein Language via Knowledge Instruction
ACL 2024
LEAD: Exploring Logit Space Evolution for Model Selection
CVPR 2024
Knowledge-aware Reinforced Language Models for Protein Directed Evolution
ICML 2024
Exploring Model Transferability through the Lens of Potential Energy
ICCV 2023
Masked Image Modeling with Denoising Contrast
ICLR 2023
Cycle-consistent Masked AutoEncoder for Unsupervised Domain Generalization
ICLR 2023
Uncertainty Modeling for Out-of-Distribution Generalization
ICLR 2022
Mc-BEiT: Multi-Choice Discretization for Image BERT Pre-training
ECCV 2022
TCCNet: Temporally Consistent Context-Free Network for Semi-supervised Video Polyp Segmentation
IJCAI 2022
Generalizable Person Re-Identification With Relevance-Aware Mixture of Experts
CVPR 2021