activity
20232026
most citedA Survey for Graphic Design Intelligence

4 citations · 4 across the 6 of their papers we have counts for

collaborators

8 papers

cs.CL2026

Understanding Machine Taste: Aesthetic Agreement Across Foundation Models in K-pop

Kaishen Wang, Yucheng Pan, Xuehao Cui +2

As foundation models enter creative industries, understanding their aesthetic preferences becomes an important step toward AI-assisted creative decision making. In this work, we in…

cs.CR2026

InjecMEM: Memory Injection Attack on LLM Agent Memory Systems

Hanling Tian, Gengyu Zhang, Zeyang Sha +5

Memory is becoming a default subsystem in deployed LLM agents to provide persistent personalization and continuity. This naturally prompts a question: will memory system introduce…

cs.LG2026

CARE-LoRA: Compressed Activation REconstruction for Memory-Efficient LoRA

Gengyu Zhang, Haiyin Ran, Zhengbao He +4

As the scale of large pre-trained models continues to grow, fine-tuning them under limited memory budgets has become increasingly challenging. Low-Rank Adaptation (LoRA), currently…

cs.CV2026

Stochastic Optimal Control Sampling for Diffusion Inverse Problems

Jie Zhang, Youmei Qiu, Hanling Tian +3

Benefiting from the strong ability to capture data distributions, diffusion models have become powerful tools for solving image inverse problems. The key is to controllably steer t…

cs.LG2026

SAGE: Retain-Aware Post-Hoc Sanitization of Final Unlearning Vector

Jingyuan Zhang, Yucheng Bai, Peixi Wen +6

Large Language Model (LLM) unlearning aims to remove undesirable knowledge or behaviors while preserving retained capabilities. Current unlearning methods all involve a trade-off b…

cs.LG2026

RAIN-Merging: A Gradient-Free Method to Enhance Instruction Following in Large Reasoning Models with Preserved Thinking Format

Zhehao Huang, Yuhang Liu, Baijiong Lin +5

Large reasoning models (LRMs) excel at a long chain of reasoning but often fail to faithfully follow instructions regarding output format, constraints, or specific requirements. We…

cs.AI2025

Agent Safety Alignment via Reinforcement Learning

Zeyang Sha, Hanling Tian, Zhuoer Xu +3

The emergence of autonomous Large Language Model (LLM) agents capable of tool usage has introduced new safety risks that go beyond traditional conversational misuse. These agents,…

cs.HC2023★ 4 cited

A Survey for Graphic Design Intelligence

Danqing Huang, Jiaqi Guo, Shizhao Sun +6

Graphic design is an effective language for visual communication. Using complex composition of visual elements (e.g., shape, color, font) guided by design principles and aesthetics…