activity
20242026
most citedGraph-based Unsupervised Disentangled Representation Learning via Multimodal Large Language Models

1 citations · 1 across the 3 of their papers we have counts for

collaborators

6 papers

cs.AI2026

Euler: Towards Human-Centered Multi-Agent Mathematical Discovery

Qiuyu Chen, Qi Wang, Liang Xu +3

Mathematical research drives scientific discovery, and recent advances in AI for mathematics have shown that language-model agents can solve challenging problems and develop substa…

cs.CV2026

BTC3D: Blended Tile Conditioning for Detail-Enhancing Image-to-3D Generation

Junyu Li, Qiuyu Chen, Pengcheng Wang +5

Recent diffusion-based pipelines have achieved promising progress in image-to-3D synthesis. However, generating high-fidelity details remains challenging, especially when the input…

cs.CL2026

EVOKE: Eliciting World Knowledge in Agents for Transferable Decision-Making

Yuhan Guo, Jinming Liu, Liang Xu +8

Large language models (LLMs) are increasingly deployed as agents for multi-step decision-making, yet transfer poorly to unseen environments. World-model methods address this by tra…

cs.LG2025

The 1st International Workshop on Disentangled Representation Learning for Controllable Generation (DRL4Real): Methods and Results

Qiuyu Chen, Xin Jin, Yue Song +45

This paper reviews the 1st International Workshop on Disentangled Representation Learning for Controllable Generation (DRL4Real), held in conjunction with ICCV 2025. The workshop a…

cs.CV2024★ 1 cited

Graph-based Unsupervised Disentangled Representation Learning via Multimodal Large Language Models

Baao Xie, Qiuyu Chen, Yunnan Wang +3

Disentangled representation learning (DRL) aims to identify and decompose underlying factors behind observations, thus facilitating data perception and generation. However, current…

cs.CV2024

Rate-Distortion-Cognition Controllable Versatile Neural Image Compression

Jinming Liu, Ruoyu Feng, Yunpeng Qi +4

Recently, the field of Image Coding for Machines (ICM) has garnered heightened interest and significant advances thanks to the rapid progress of learning-based techniques for image…