Bei Yu

48 papers · 2012–2026 · 13 conferences · across top CS/AI conferences

Achievements

🧭 Keyword Pioneer 🐝 Cross-Pollinator (12) 🌈 Renaissance Researcher (11) 🌉 Interdisciplinary Bridge 🐣 Hot Topic Early Bird 🗺️ Taxonomy Completionist (96) 🌍 Conference Polyglot (13) 🏃 Academic Marathon (13) 🏆 Grand Slam 🏆 Keyword Champion (2) 🧬 Topic Evolution 🔥 Unstoppable (8) ⚡ Prolific Year (7) 💎 Century Club (47) ❓ The Questioner (2) 🗃️ Keyword Collector (210)

Conferences

AAAI (8) ICCV (7) CVPR (5) EMNLP (5) ICML (5) NAACL (4) ECCV (3) NIPS (3) ACL (2) COLING (2) IJCAI (2) ICLR (1) IJCNLP (1)

Top co-authors

Jiaya Jia (9) Xinyun Zhang (6) Yingya Li (6) Haoyuan Wu (5) Xufeng Yao (5) Jun Wang (5) Qi Sun (5) Yang Bai (4) Jiequan Cui (4) Zhuolun He (4)

Keywords

text classification (6) large language model (5) graph neural network (4) representation learning (4) natural language processing (4) transfer learning (4) contrastive learning (3) image classification (3) electronic design automation (3) claim classification (2) causal inference (2) diffusion model (2) reinforcement learning (2) scientific text (2) deep neural network (2) knowledge distillation (2) neural architecture search (2) attention mechanism (2) semiconductor manufacturing (2) neural network optimization (2)

Papers

KCLNet: Electrically Equivalence-Oriented Graph Representation Learning for Analog Circuits AAAI 2026

Enhancing LLM Knowledge Learning through Generalization EMNLP 2025

Mixture-of-Scores: Robust Image-Text Data Valuation via Three Lines of Code ICCV 2025

Learnable Feature Patches and Vectors for Boosting Low-light Image Enhancement without External Knowledge ICCV 2025

Divergent Thoughts toward One Goal: LLM-based Multi-Agent Collaboration System for Electronic Design Automation NAACL 2025

Efficient OpAmp Adaptation for Zoom Attention to Golden Contexts ACL 2025

Low-Light Video Enhancement via Spatial-Temporal Consistent Decomposition IJCAI 2025

TGDPO: Harnessing Token-Level Reward Guidance for Enhancing Direct Preference Optimization ICML 2025

DreamOmni: Unified Image Generation and Editing CVPR 2025

VisionZip: Longer is Better but Not Necessary in Vision Language Models CVPR 2025

Generative Video Propagation CVPR 2025

Bridging Layout and RTL: Knowledge Distillation based Timing Prediction ICML 2025

Circuit Representation Learning with Masked Gate Modeling and Verilog-AIG Alignment ICLR 2025

Does Your Vision-Language Model Get Lost in the Long Video Sampling Dilemma? ICCV 2025

FlexPose: Pose Distribution Adaptation with Limited Guidance AAAI 2025

Intelligent OPC Engineer Assistant for Semiconductor Manufacturing AAAI 2025

Towards Automated RISC-V Microarchitecture Design with Reinforcement Learning AAAI 2024

p-Laplacian Adaptation for Generative Pre-trained Vision-Language Models AAAI 2024

Progressively Knowledge Distillation via Re-parameterizing Diffusion Reverse Process AAAI 2024

BetterV: Controlled Verilog Generation with Discriminative Guidance ICML 2024

Classes Are Not Equal: An Empirical Study on Image Recognition Fairness CVPR 2024

Improving Neural ODE Training with Temporal Adaptive Batch Normalization NIPS 2024

Decoupled Kullback-Leibler Divergence Loss NIPS 2024

Parameter-Efficient Sparsity Crafting from Dense to Mixture-of-Experts for Instruction Tuning on General Tasks EMNLP 2024

BiE: Bi-Exponent Block Floating-Point for Large Language Models Quantization ICML 2024

Efficient Deep Space Filling Curve ICCV 2023

AutoGraph: Optimizing DNN Computation Graph for Parallel GPU Kernel Execution AAAI 2023

Can ChatGPT Understand Causal Language in Science Claims? ACL 2023

ATFormer: A Learned Performance Model with Transfer Learning Across Devices for Deep Learning Tensor Programs EMNLP 2023

LithoBench: Benchmarking AI Computational Lithography for Semiconductor Manufacturing NIPS 2023

Do Not Train It: A Linear Neural Architecture Search of Graph Neural Networks ICML 2023

FastGR: Global Routing on CPU-GPU with Heterogeneous Task Graph Scheduler (Extended Abstract) IJCAI 2023

Efficient Point Cloud Analysis Using Hilbert Curve ECCV 2022

PCL: Proxy-Based Contrastive Learning for Domain Generalization CVPR 2022

“Devils Are in the Details”: Annotating Specificity of Clinical Advice from Medical Literature NAACL 2022

Context-Based Contrastive Learning for Scene Text Recognition AAAI 2022

Seeing Dynamic Scene in the Dark: A High-Quality Video Dataset With Mechatronic Alignment ICCV 2021

Detecting Health Advice in Medical Research Literature EMNLP 2021

Self Promotion in US Congressional Tweets NAACL 2021

Parametric Contrastive Learning ICCV 2021

Fast and Efficient DNN Deployment via Deep Gaussian Transfer Learning ICCV 2021

Measuring Correlation-to-Causation Exaggeration in Press Releases COLING 2020

Tensor Low-Rank Reconstruction for Semantic Segmentation ECCV 2020

Dive Deeper Into Box for Object Detection ECCV 2020

Detecting Causal Language Use in Science Findings EMNLP 2019

Detecting Causal Language Use in Science Findings IJCNLP 2019

An Evaluation of Information Extraction Tools for Identifying Health Claims in News Headlines COLING 2018

Function Words for Chinese Authorship Attribution NAACL 2012