activity
20202026
most citedDiffusionInst: Diffusion Model for Instance Segmentation

23 citations · 45 across the 20 of their papers we have counts for

collaborators

22 papers

cs.AI2026

UI-Venus-2 Technical Report

Venus Team, Zhuohan Cai, Haoxing Chen +28

Multimodal GUI agents have emerged as a promising paradigm for digital task automation, yet transitioning from benchmark-oriented models to dependable real-world applications remai…

cs.AI2026

Safety Testing LLM Agents at Scale: From Risk Discovery to Evidence-Grounded Verification

Yunhao Feng, Ruixiao Lin, Ming Wen +12

LLM agents increasingly perform autonomous actions through external tools, leading to complex and evolving safety risks. However, existing safety testing targets expert-designed sa…

cs.LG2026

Constitutional On-Policy Safe Distillation

Ming Wen, Yuxuan Liu, Kun Yang +8

On-policy self-distillation (OPSD) has emerged as an efficient post-training paradigm by using a teacher conditioned on privileged information to provide dense token-level supervis…

cs.AI2026

Orthogonal Concept Erasure for Diffusion Models

Yuhao Sun, Lingyun Yu, Haoxiang Xu +3

Concept erasure has emerged as a promising approach to mitigate undesired or unsafe content in diffusion models, yet existing methods still face significant limitations. While trai…

cs.AI2025

UpSafeC: Upcycling for Controllable Safety in Large Language Models

Yuhao Sun, Zhuoer Xu, Shiwen Cui +4

Large Language Models (LLMs) have achieved remarkable progress across a wide range of tasks, but remain vulnerable to safety risks such as harmful content generation and jailbreak…

cs.CR2025

TraceLLM: Security Diagnosis Through Traces and Smart Contracts in Ethereum

Shuzheng Wang, Yue Huang, Zhuoer Xu +2

Ethereum smart contracts hold tens of billions of USD in DeFi and NFTs, yet comprehensive security analysis remains difficult due to unverified code, proxy-based architectures, and…