activity
20202026
most citedMix-n-Match: Ensemble and Compositional Methods for Uncertainty Calibration in Deep Learning

49 citations · 61 across the 12 of their papers we have counts for

collaborators

12 papers

cs.RO2026

Open-AoE: An Open Egocentric Manipulation Dataset and Toolchain for Embodied Learning

Zishuo Li, Bowen Yang, Changtao Miao +29

Egocentric videos of human manipulation provide scalable supervision for embodied intelligence, yet existing resources rarely combine low-cost continuous capture, manipulation-leve…

cs.CR2026

SeClaw: Spec-Driven Security Task Synthesis for Evaluating Autonomous Agents

Hao Cheng, Changtao Miao, Tianle Song +21

Autonomous LLM agents increasingly operate in stateful environments where they access tools, files, memory, and external services. While such capabilities enable complex real-world…

cs.CV2024

Not Just Text: Uncovering Vision Modality Typographic Threats in Image Generation Models

Hao Cheng, Erjia Xiao, Jiayan Yang +6

Current image generation models can effortlessly produce high-quality, highly realistic images, but this also increases the risk of misuse. In various Text-to-Image or Image-to-Ima…

cs.CV2024

Unveiling Typographic Deceptions: Insights of the Typographic Vulnerability in Large Vision-Language Model

Hao Cheng, Erjia Xiao, Jindong Gu +6

Large Vision-Language Models (LVLMs) rely on vision encoders and Large Language Models (LLMs) to exhibit remarkable capabilities on various multi-modal tasks in the joint space of…

cs.NE2023

Pursing the Sparse Limitation of Spiking Deep Learning Structures

Hao Cheng, Jiahang Cao, Erjia Xiao +7

Spiking Neural Networks (SNNs), a novel brain-inspired algorithm, are garnering increased attention for their superior computation and energy efficiency over traditional artificial…

cs.CV2023★ 1 cited

RBFormer: Improve Adversarial Robustness of Transformer by Robust Bias

Hao Cheng, Jinhao Duan, Hui Li +6

Recently, there has been a surge of interest and attention in Transformer-based structures, such as Vision Transformer (ViT) and Vision Multilayer Perceptron (VMLP). Compared with…