Feng Wu

FACM: Flow-Anchored Consistency Models

ScaleCap: Scalable Image Captioning via Dual-Modality Debiasing

CapRL: Stimulating Dense Image Caption Capabilities via Reinforcement Learning

Learning A Linear Delay Surrogate Model for Timing-Driven Chip Global Placement

High-Performance Arithmetic Circuit Optimization via Differentiable Architecture Search

D-FINE: Redefine Regression Task of DETRs as Fine-grained Distribution Refinement

LaMPlace: Learning to Optimize Cross-Stage Metrics in Macro Placement

Differentiable Integer Linear Programming

Dynamic Configuration for Cutting Plane Separators via Reinforcement Learning on Incremental Graph

Accurate KV Cache Eviction via Anchor Direction Projection for Efficient LLM Inference

A Graph Enhanced Symbolic Discovery Framework For Efficient Logic Optimization

Computing Circuits Optimization via Model-Based Circuit Genetic Evolution

ROPO: Robust Preference Optimization for Large Language Models

Accurate and Scalable Graph Neural Networks via Message Invariance

Apollo-MILP: An Alternating Prediction-Correction Neural Solving Framework for Mixed-Integer Linear Programming

Accelerating Large Language Model Reasoning via Speculative Search

Knowledge Graph Finetuning Enhances Knowledge Manipulation in Large Language Models

ROPO: Robust Preference Optimization for Large Language Models

Exploring Vision Semantic Prompt for Efficient Point Cloud Understanding

Can Symbolic Regression of Boolean Functions Boost Logic Synthesis?

Benchmarking End-To-End Performance of AI-Based Chip Placement Algorithms

Searching Strengthens Large Language Models in Finding Bugs of Deep Learning Libraries

LLM4Solver: Large Language Model for Efficient Algorithm Design of Combinatorial Optimization Solver

PyramidDrop: Accelerating Your Large Vision-Language Models via Pyramid Visual Redundancy Reduction

TokenUnify: Scalable Autoregressive Pretraining for Large Scale EM Image Segmentation