Bei Yu
51 papers · 2012–2026 · 12 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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🗺️ Taxonomy Completionist (93) 🌍 Conference Polyglot · Gold 🏃 Academic Marathon · Half 🌉 Interdisciplinary Bridge · Silver 🐣 Hot Topic Early Bird
🔬
Deep Specialist
(10)
🧬
Topic Evolution
🏆
Grand Slam
🏆
Keyword Champion
(5)
🤝
Dynamic Duo
(12)
🌈
Renaissance Researcher
(9)
🔥
Unstoppable · Bronze
❓
The Questioner
(2)
⚡
Prolific Year · Prolific
💎
Century Club · Silver
🗃️
Keyword Collector
(241)
Venues
Top co-authors
Research topics
Machine Learning
(36)
Deep Learning
(26)
Artificial Intelligence
(24)
Core AI
(20)
Application Areas
(17)
Learning Types · Machine Learning
(15)
Learning Types · Deep Learning
(13)
Core Methods
(11)
Models
(11)
Computer Vision
(10)
Natural Language Processing
(9)
Architectures
(9)
Processing
(7)
Optimization & Theory
(6)
Applications
(5)
Keywords
large language model
(9)
graph neural network
(6)
text classification
(5)
electronic design automation
(5)
transfer learning
(4)
representation learning
(4)
contrastive learning
(3)
vision-language model
(3)
knowledge distillation
(3)
natural language processing
(3)
image classification
(3)
mixture of expert
(2)
policy optimization
(2)
deep neural network
(2)
image generation
(2)
neural architecture search
(2)
neural network optimization
(2)
semiconductor manufacturing
(2)
attention mechanism
(2)
reinforcement learning
(2)
Papers
Analytical FFN-to-MoE Restructuring via Activation Pattern Analysis
ACL 2026
DreamOmni2: Multimodal Instruction-based Generation and Editing
CVPR 2026
KCLNet: Electrically Equivalence-Oriented Graph Representation Learning for Analog Circuits
AAAI 2026
TRAC: Teacher-Guided Token Reward with Adaptive Calibration for Robust Policy Optimization
ACL 2026
Unlocking Token Rewards via Training-Free Reward Attribution
CVPR 2026
Bridging Layout and RTL: Knowledge Distillation based Timing Prediction
ICML 2025
Circuit Representation Learning with Masked Gate Modeling and Verilog-AIG Alignment
ICLR 2025
Divergent Thoughts toward One Goal: LLM-based Multi-Agent Collaboration System for Electronic Design Automation
NAACL 2025
Does Your Vision-Language Model Get Lost in the Long Video Sampling Dilemma?
ICCV 2025
DreamOmni: Unified Image Generation and Editing
CVPR 2025
Efficient OpAmp Adaptation for Zoom Attention to Golden Contexts
ACL 2025
Enhancing LLM Knowledge Learning through Generalization
EMNLP 2025
FlexPose: Pose Distribution Adaptation with Limited Guidance
AAAI 2025
Generative Video Propagation
CVPR 2025
Intelligent OPC Engineer Assistant for Semiconductor Manufacturing
AAAI 2025
Learnable Feature Patches and Vectors for Boosting Low-light Image Enhancement without External Knowledge
ICCV 2025
Low-Light Video Enhancement via Spatial-Temporal Consistent Decomposition
IJCAI 2025
Mixture-of-Scores: Robust Image-Text Data Valuation via Three Lines of Code
ICCV 2025
TGDPO: Harnessing Token-Level Reward Guidance for Enhancing Direct Preference Optimization
ICML 2025
VisionZip: Longer is Better but Not Necessary in Vision Language Models
CVPR 2025
BetterV: Controlled Verilog Generation with Discriminative Guidance
ICML 2024
BiE: Bi-Exponent Block Floating-Point for Large Language Models Quantization
ICML 2024
Classes Are Not Equal: An Empirical Study on Image Recognition Fairness
CVPR 2024
Decoupled Kullback-Leibler Divergence Loss
NeurIPS 2024
Improving Neural ODE Training with Temporal Adaptive Batch Normalization
NeurIPS 2024
Parameter-Efficient Sparsity Crafting from Dense to Mixture-of-Experts for Instruction Tuning on General Tasks
EMNLP 2024
p-Laplacian Adaptation for Generative Pre-trained Vision-Language Models
AAAI 2024
Progressively Knowledge Distillation via Re-parameterizing Diffusion Reverse Process
AAAI 2024
Towards Automated RISC-V Microarchitecture Design with Reinforcement Learning
AAAI 2024
ATFormer: A Learned Performance Model with Transfer Learning Across Devices for Deep Learning Tensor Programs
EMNLP 2023
AutoGraph: Optimizing DNN Computation Graph for Parallel GPU Kernel Execution
AAAI 2023
Can ChatGPT Understand Causal Language in Science Claims?
ACL 2023
Do Not Train It: A Linear Neural Architecture Search of Graph Neural Networks
ICML 2023
Efficient Deep Space Filling Curve
ICCV 2023
FastGR: Global Routing on CPU-GPU with Heterogeneous Task Graph Scheduler (Extended Abstract)
IJCAI 2023
LithoBench: Benchmarking AI Computational Lithography for Semiconductor Manufacturing
NeurIPS 2023
Context-Based Contrastive Learning for Scene Text Recognition
AAAI 2022
“Devils Are in the Details”: Annotating Specificity of Clinical Advice from Medical Literature
NAACL 2022
Efficient Point Cloud Analysis Using Hilbert Curve
ECCV 2022
PCL: Proxy-Based Contrastive Learning for Domain Generalization
CVPR 2022
Detecting Health Advice in Medical Research Literature
EMNLP 2021
Fast and Efficient DNN Deployment via Deep Gaussian Transfer Learning
ICCV 2021
Parametric Contrastive Learning
ICCV 2021
Seeing Dynamic Scene in the Dark: A High-Quality Video Dataset With Mechatronic Alignment
ICCV 2021
Self Promotion in US Congressional Tweets
NAACL 2021
Dive Deeper Into Box for Object Detection
ECCV 2020
Measuring Correlation-to-Causation Exaggeration in Press Releases
COLING 2020
Tensor Low-Rank Reconstruction for Semantic Segmentation
ECCV 2020
Detecting Causal Language Use in Science Findings
EMNLP 2019
An Evaluation of Information Extraction Tools for Identifying Health Claims in News Headlines
COLING 2018
Function Words for Chinese Authorship Attribution
NAACL 2012