activity
20242026
most citedDKDM: Data-Free Knowledge Distillation for Diffusion Models with Any Architecture

2 citations · 2 across the 8 of their papers we have counts for

collaborators
Showing 2026Show all

10 papers · 1 filter

math.AP2026

Orbital stability of solitary wave solutions of the derivative nonlinear Schrödinger equation in the endpoint case

Jia Shen, Yifei Wu, Changping Yang

In this paper, we consider the orbital stability of solitary waves for the derivative nonlinear Schrödinger equation $$iq_t+q_{xx}+i\partial_x\bigl(|q|^2q\bigr)=0, \quad (t,x)\in\m…

cs.RO2026

Phase-Gated Constrained Reinforcement Learning for End-to-End Capture and Detumbling of Non-Cooperative Targets

Álvaro Belmonte-Baeza, Celia Redondo-Verdú, José L. Ramón +3

Active debris removal requires a servicer spacecraft to approach a non-cooperative tumbling object, capture it, and arrest its rotation. This sequence is conventionally divided amo…

cs.CV2026

VisualErase: Dual-Branch Visual Trajectory Redirection for Robust Concept Erasure in Text-to-Image Diffusion Models

Qianlong Xiang, Miao Zhang, Kun Wang +3

Concept erasure is essential for the safe deployment of text-to-image diffusion models, as they may reproduce harmful, copyrighted, or privacy-sensitive content learned from uncons…

cs.CV2026

TINA+: Probing Residual Visual Knowledge in Unlearned Diffusion Models via Diffusion-Consistent Text-Free Inversion

Qianlong Xiang, Miao Zhang, Kun Wang +3

Although text-to-image diffusion models exhibit remarkable generative power, concept erasure techniques are essential for preventing harmful content. Existing adversarial probes ev…

cs.CV2026

HyLoVQA: Dynamic Hypernetwork-Generated Low-Rank Adaptation for Continual Visual Question Answering

Yiran Wang, Chenyi Xiong, Ziyue Qin +3

Continual Visual Question Answering (VQA) requires learning from non-stationary streams of visual inputs and questions while preserving past knowledge. Most prior methods adapt by…

cs.LG2026

DASH: Fast Differentiable Architecture Search for Hybrid Attention in Minutes on a Single GPU

Weizhe Chen, Miao Zhang, Junpeng Jiang +3

Hybrid attention architectures are becoming an increasingly important paradigm for improving LLM inference efficiency while preserving model quality, making hybrid architecture des…

cs.CL2026

PulseCol: Periodically Refreshed Column-Sparse Attention for Accelerating Diffusion Language Models

Yanyi Lyu, Letian Chen, Futing Sun +3

Inference in diffusion large language models (dLLMs) is computationally expensive, as full self-attention must be repeatedly executed at each step of the denoising process without…

cs.AI2026

Sustainable Intelligence for the Wild: Democratizing Ecological Monitoring via Knowledge-Adaptive Edge Expert Agents

Jiaxing Li, Hao Fang, Chi Xu +5

Rapid biodiversity loss underscore the urgency of effective monitoring, yet manual surveys remain resource-intensive. While on-device AI offers a scalable alternative, its performa…

cs.RO2026

Cortical Policy: A Dual-Stream View Transformer for Robotic Manipulation

Xuening Zhang, Qi Lv, Xiang Deng +3

View transformers process multi-view observations to predict actions and have shown impressive performance in robotic manipulation. Existing methods typically extract static visual…

cs.CV2026

TINA: Text-Free Inversion Attack for Unlearned Text-to-Image Diffusion Models

Qianlong Xiang, Miao Zhang, Haoyu Zhang +3

Although text-to-image diffusion models exhibit remarkable generative power, concept erasure techniques are essential for their safe deployment to prevent the creation of harmful c…