Yong Chen
27 papers · 2020–2026 · 11 conferences · across top CS/AI conferences
Achievements
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🏃 Academic Marathon (5) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (11) 🐝 Cross-Pollinator (13)
🌍
Conference Polyglot
(11)
🏃
Academic Marathon
(5)
👥
Mega-Team
(71)
🗃️
Keyword Collector
(114)
🚀
Conference Pioneer
💎
Century Club
(20)
⚡
Prolific Year
(13)
Conferences
AAAI (7)
ACL (4)
CVPR (2)
ICCV (2)
ICLR (2)
ICML (2)
IJCAI (2)
JMLR (2)
MICCAI (2)
ECCV (1)
EMNLP (1)
Top co-authors
Keywords
large language model
(3)
gaussian primitive
(2)
diffusion model
(2)
inference efficiency
(2)
autonomous driving
(2)
metric learning
(1)
link prediction
(1)
3d reconstruction
(1)
bayesian inference
(1)
image restoration
(1)
information bottleneck
(1)
uncertainty quantification
(1)
multimodal recommendation
(1)
self-supervised learning
(1)
semantic segmentation
(1)
model architecture
(1)
variable selection
(1)
distributed learning
(1)
trajectory prediction
(1)
attention mechanism
(1)
Papers
ARDiff: Anisotropic Residual Diffusion for Heterogeneous Graph Learning
AAAI 2026
VBF++: Variational Bayesian Fusion with Context-Aware Priors and Recommendation-Guided Adversarial Refinement for Multimodal Video Recommendation
AAAI 2026
VIGIL: Defending LLM Agents Against Tool-Stream Injection via Verify-Before-Commit
ACL 2026
Codebook-Centric Deep Hashing: End-to-End Joint Learning of Semantic Hash Centers and Neural Hash Function
AAAI 2026
Memory-Augmented LLM-based Multi-Agent System for Automated Feature Generation on Tabular Data
ACL 2026
FIXME: Towards End-to-End Benchmarking of LLM-Aided Design Verification
AAAI 2026
TokenPowerBench: Benchmarking the Power Consumption of LLM Inference
AAAI 2026
FICGen: Frequency-Inspired Contextual Disentanglement for Layout-driven Degraded Image Generation
ICCV 2025
MP-HSIR: A Multi-Prompt Framework for Universal Hyperspectral Image Restoration
ICCV 2025
MAP: Low-compute Model Merging with Amortized Pareto Fronts via Quadratic Approximation
ICLR 2025
GraphAD: Interaction Scene Graph for End-to-end Autonomous Driving
IJCAI 2025
DisC2o-HD: Distributed causal inference with covariates shift for analyzing real-world high-dimensional data
JMLR 2025
DiffOSeg: Omni Medical Image Segmentation via Multi-Expert Collaboration Diffusion Model
MICCAI 2025
SAFER: A Calibrated Risk-Aware Multimodal Recommendation Model for Dynamic Treatment Regimes
ICML 2025
FreeGen: Bridging Visual-Linguistic Discrepancies Towards Diffusion-based Pixel-level Data Synthesis
AAAI 2025
Convert Language Model into a Value-based Strategic Planner
ACL 2025
Streamlining the Collaborative Chain of Models into A Single Forward Pass in Generation-Based Tasks
ACL 2025
FreeTimeGS: Free Gaussian Primitives at Anytime Anywhere for Dynamic Scene Reconstruction
CVPR 2025
LiDAR-RT: Gaussian-based Ray Tracing for Dynamic LiDAR Re-simulation
CVPR 2025
Dream to Chat: Model-based Reinforcement Learning on Dialogues with User Belief Modeling
EMNLP 2025
Position: TrustLLM: Trustworthiness in Large Language Models
ICML 2024
A Flexible Generative Model for Heterogeneous Tabular EHR with Missing Modality
ICLR 2024
Towards Architecture-Agnostic Untrained Networks Priors for Image Reconstruction with Frequency Regularization
ECCV 2024
Dynamic Hybrid Unrolled Multi-Scale Network for Accelerated MRI Reconstruction
MICCAI 2024
Beyond Graph Convolutional Network: An Interpretable Regularizer-Centered Optimization Framework
AAAI 2023
Scalable high-dimensional Bayesian varying coefficient models with unknown within-subject covariance
JMLR 2023
HyperNews: Simultaneous News Recommendation and Active-Time Prediction via a Double-Task Deep Neural Network
IJCAI 2020