Hancheng Ye

Accelerating Discrete Diffusion Decoding with Parallel Scan

Accelerating Denoising Generative Models is as Easy as Predicting Second-Order Difference

Angles Don’t Lie: Unlocking Training‑Efficient RL Through the Model’s Own Signals

GeoX: Geometric Problem Solving Through Unified Formalized Vision-Language Pre-training

KVCOMM: Online Cross-context KV-cache Communication for Efficient LLM-based Multi-agent Systems

CoreInfer: Accelerating Large Language Model Inference with Semantics-Inspired Adaptive Sparse Activation

DocGenome: A Large Benchmark for Multi-Modal Language Models in Real-World Academic Document Understanding

CoreMatching: A Co-adaptive Sparse Inference Framework with Token and Neuron Pruning for Comprehensive Acceleration of Vision-Language Models

SADA: Stability-guided Adaptive Diffusion Acceleration