Tong Chen
39 papers · 2019–2026 · 12 conferences · across top CS/AI conferences
Achievements
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Taxonomy Completionist
(61)
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Conference Polyglot
(12)
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Academic Marathon
(6)
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Topic Evolution
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Keyword Collector
(124)
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Prolific Year
(5)
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Conference Pioneer
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Century Club
(36)
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Trend Setter
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The Questioner
Conferences
MICCAI (9)
EMNLP (5)
AAAI (4)
ICML (4)
CVPR (3)
ICLR (3)
IJCAI (3)
NIPS (3)
ACL (2)
ECCV (1)
IJCNLP (1)
NAACL (1)
Top co-authors
Keywords
recommender system
(3)
robustness certification
(2)
diffusion model
(2)
graph reasoning
(2)
reinforcement learning
(2)
semidefinite programming
(2)
lipschitz constant
(2)
sequential recommendation
(2)
large language model
(2)
poi recommendation
(2)
point-of-interest recommendation
(2)
knowledge distillation
(2)
in-context learning
(1)
data augmentation
(1)
attention mechanism
(1)
adversarial robustness
(1)
medical imaging
(1)
policy learning
(1)
noisy label learning
(1)
multi-task learning
(1)
Papers
Error Correction in Radiology Reports: A Knowledge Distillation-Based Multi-Stage Framework
AAAI 2026
EndoIR: Degradation-Agnostic All-in-One Endoscopic Image Restoration via Noise-Aware Routing Diffusion
AAAI 2026
Mind Reader: Latent User Demand-Guided Content Optimization for Generative Search Engine
ACL 2026
Ultra Lowrate Image Compression with Semantic Residual Coding and Compression-aware Diffusion
ICML 2025
Enhancing Treatment Effect Estimation via Active Learning: A Counterfactual Covering Perspective
ICML 2025
SurgSora: Object-Aware Diffusion Model for Controllable Surgical Video Generation
MICCAI 2025
Endo-4DGX: Robust Endoscopic Scene Reconstruction and Illumination Correction with Gaussian Splatting
MICCAI 2025
DiN: Diffusion Model for Robust Medical VQA with Semantic Noisy Labels
CVPR 2025
RENO: Real-Time Neural Compression for 3D LiDAR Point Clouds
CVPR 2025
Domain-Adaptive Diagnosis of Lewy Body Disease with Transferability Aware Transformer
MICCAI 2025
WiD-PET: PET Image Reconstruction from Low-Dose Data Using a Wavelet-Informed Diffusion Model with Fast Inference
MICCAI 2025
MedFact: A Large-scale Chinese Dataset for Evidence-based Medical Fact-checking of LLM Responses
EMNLP 2025
Generative Adapter: Contextualizing Language Models in Parameters with A Single Forward Pass
ICLR 2025
Hotspot-Driven Peptide Design via Multi-Fragment Autoregressive Extension
ICLR 2025
On Quantizing Neural Representation for Variable-Rate Video Coding
ICLR 2025
Core-Periphery Principle Guided State Space Model for Functional Connectome Classification
MICCAI 2025
A Unified Continuous Staging Framework for Alzheimerβs Disease and Lewy Body Dementia via Hierarchical Anatomical Features
MICCAI 2025
MindEye2: Shared-Subject Models Enable fMRI-To-Image With 1 Hour of Data
ICML 2024
RS-NeRF: Neural Radiance Fields from Rolling Shutter Images
ECCV 2024
MixGR: Enhancing Retriever Generalization for Scientific Domain through Complementary Granularity
EMNLP 2024
CopyBench: Measuring Literal and Non-Literal Reproduction of Copyright-Protected Text in Language Model Generation
EMNLP 2024
Dense X Retrieval: What Retrieval Granularity Should We Use?
EMNLP 2024
EndoUIC: Promptable Diffusion Transformer for Unified Illumination Correction in Capsule Endoscopy
MICCAI 2024
Gyri vs. Sulci: Core-Periphery Organization in Functional Brain Networks
MICCAI 2024
LighTDiff: Surgical Endoscopic Image Low-Light Enhancement with T-Diffusion
MICCAI 2024
Sub-Sentence Encoder: Contrastive Learning of Propositional Semantic Representations
NAACL 2024
KGA: A General Machine Unlearning Framework Based on Knowledge Gap Alignment
ACL 2023
Semialgebraic Representation of Monotone Deep Equilibrium Models and Applications to Certification
NIPS 2021
Localization with Sampling-Argmax
NIPS 2021
Discovering Collaborative Signals for Next POI Recommendation with Iterative Seq2Graph Augmentation
IJCAI 2021
MetaCURE: Meta Reinforcement Learning with Empowerment-Driven Exploration
ICML 2021
DA-GCN: A Domain-aware Attentive Graph Convolution Network for Shared-account Cross-domain Sequential Recommendation
IJCAI 2021
Auxiliary Training: Towards Accurate and Robust Models
CVPR 2020
Where to Go Next: Modeling Long- and Short-Term User Preferences for Point-of-Interest Recommendation
AAAI 2020
Semialgebraic Optimization for Lipschitz Constants of ReLU Networks
NIPS 2020
Learned Video Compression via Joint Spatial-Temporal Correlation Exploration
AAAI 2020
Inferring Substitutable Products with Deep Network Embedding
IJCAI 2019
Collaborative Policy Learning for Open Knowledge Graph Reasoning
EMNLP 2019
Collaborative Policy Learning for Open Knowledge Graph Reasoning
IJCNLP 2019