Associate Professor Bei YU - CUHK Research Portal - CONVERIS Research Information System

Professor YU Bei

Personal Information

Position and Department

Associate Professor, Department of Computer Science and Engineering

ORCiD0000-0001-6406-4810

URLhttp://www.cse.cuhk.edu.hk/~byu/

CUHK Research Outputs

1 of 5

Fed2Com: Towards Efficient Compression in Federated Learning (2024)

FuILT: Full Chip ILT System With Boundary Healing (2024)

iEDA: An Open-source infrastructure of EDA (2024)

iPD: An Open-source intelligent Physical Design Tool Chain (2024)

LSTP: A Logic Synthesis Timing Predictor (2024)

Open-Source Differentiable Lithography Imaging Framework (2024)

Performance-Driven Analog Layout Automation: Current Status and Future Directions (2024)

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

Progressively Knowledge Distillation via Re-parameterizing Diffusion Reverse Process (2024)

Routing-aware Legal Hybrid Bonding Terminal Assignment for 3D Face-to-Face Stacked ICs (2024)

SoC-Tuner: An Importance-guided Exploration Framework for DNN-targeting SoC Design (2024)

Towards Automated RISC-V Microarchitecture Design with Reinforcement Learning (2024)

V-GR: 3D Global Routing with Via Minimization and Multi-Strategy Rip-up and Rerouting (2024)

Adaptive Perspective Distillation for Semantic Segmentation (2023)

A GPU-Enabled Level-Set Method for Mask Optimization (2023)

ALCOP: Automatic Load-Compute Pipelining in Deep Learning Compiler for AI-GPUs (2023)

AlphaSyn: Logic Synthesis Optimization with Efficient Monte Carlo Tree Search (2023)

ArchExplorer: Microarchitecture Exploration Via Bottleneck Analysis (2023)

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

A Unified Framework for Layout Pattern Analysis With Deep Causal Estimation (2023)

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

Bit-Level Quantization for Efficient Layout Hotspot Detection (2023)

BOMIG: A Majority Logic Synthesis Framework for AQFP Logic (2023)

ChatEDA: A Large Language Model Powered Autonomous Agent for EDA (2023)

Concurrent Sign-off Timing Optimization via Deep Steiner Points Refinement (2023)

Conditional Temporal Variational AutoEncoder for Action Video Prediction (2023)

DiffPattern: Layout Pattern Generation via Discrete Diffusion (2023)

DLPlace: A Delay-Line Clocking-based Placement Framework for AQFP Circuits (2023)

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

DSGN++: Exploiting Visual-Spatial Relation for Stereo-Based 3D Detectors (2023)

Efficient Arithmetic Block Identification with Graph Learning and Network-flow (2023)

Efficient Deep Space Filling Curve (2023)

Efficient ILT via Multi-level Lithography Simulation (2023)

Efficient Model-based OPC via Graph Neural Network (2023)

Enabling Efficient Design Rule Checking with GPU Acceleration (2023)

Fast and Accurate Wire Timing Estimation Based on Graph Learning (2023)

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

GPU-accelerated matrix cover algorithm for multiple patterning layout decomposition (2023)

Graph-Learning-Driven Path-Based Timing Analysis Results Predictor from Graph-Based Timing Analysis (2023)

Guest Editors’ Introduction: Special Issue on Machine Learning for CAD/EDA (2023)

Handling Orientation and Aspect Ratio of Modules in Electrostatics-based Large Scale Fixed-Outline Floorplanning (2023)

Heterogenous Acceleration for Design Rule Checking (2023)

IT-DSE: Invariant Risk Minimized Transfer Microarchitecture Design Space Exploration (2023)

Klotski: DNN Model Orchestration Framework for Dataflow Architecture Accelerators (2023)

Lay-Net: Grafting Netlist Knowledge on Layout-Based Congestion Prediction (2023)

Layout Decomposition via Boolean Satisfiability (2023)

LithoBench: Benchmarking AI Computational Lithography for Semiconductor Manufacturing (2023)

LRSDP: Low-Rank SDP for Triple Patterning Lithography Layout Decomposition (2023)

Machine Learning in Advanced IC Design: A Methodological Survey (2023)

Research Interest

VLSI CAD
Machine learning
Cyber-physical systems
Computer vision

Most Relevant Area

Design automation (Computer engineering)

Related Area

Computer architecture (Computer science)

Artificial intelligence (Computer science)

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