Representative papers are highlighted.

2026

Omni-Diffusion-Distill: Few-Step Distillation of Unified Multimodal Diffusion Large Language Models
ArXiv 2026
Omni-Diffusion-Distill: Few-Step Distillation of Unified Multimodal Diffusion Large Language Models

Hong Huang; Chenhongyi Yang; Junzhe Sun; Animesh Sinha; Wuyang Chen; Yifan Jiang.

ArXiv 2026

One few-step student for every task of a unified multimodal diffusion LLM, generating images in 8 steps instead of 128.

Omni-Diffusion-Distill: Few-Step Distillation of Unified Multimodal Diffusion Large Language Models

Hong Huang; Chenhongyi Yang; Junzhe Sun; Animesh Sinha; Wuyang Chen; Yifan Jiang.

One few-step student for every task of a unified multimodal diffusion LLM, generating images in 8 steps instead of 128.

ArXiv 2026
Fluid-Gen-Zero: Grounding Pretrained Video Generators in Physics without Training
ArXiv 2026
Fluid-Gen-Zero: Grounding Pretrained Video Generators in Physics without Training

Hong Huang; Yuqiu Liu; Chenyu You; Daniel Martin; Chuhang Zou; Wuyang Chen.

ArXiv 2026

Training-free framework that grounds pretrained video generators in fluid physics via simulation-guided planning and latent guidance.

Fluid-Gen-Zero: Grounding Pretrained Video Generators in Physics without Training

Hong Huang; Yuqiu Liu; Chenyu You; Daniel Martin; Chuhang Zou; Wuyang Chen.

Training-free framework that grounds pretrained video generators in fluid physics via simulation-guided planning and latent guidance.

ArXiv 2026
The Collaboration Tax: How Much LLM Multi-Agent Systems Pay to Coordinate
EMNLP 2026
The Collaboration Tax: How Much LLM Multi-Agent Systems Pay to Coordinate

Weixiang Sun; Zehong Wang; Hong Huang; Colby Nelson; Yijun Ma; Yanfang Ye.

Conference on Empirical Methods in Natural Language Processing (EMNLP) 2026

Measures the performance LLM multi-agent systems lose when two agents must coordinate rather than act alone, and traces it to a four-stage conversational cascade.

The Collaboration Tax: How Much LLM Multi-Agent Systems Pay to Coordinate

Weixiang Sun; Zehong Wang; Hong Huang; Colby Nelson; Yijun Ma; Yanfang Ye.

Measures the performance LLM multi-agent systems lose when two agents must coordinate rather than act alone, and traces it to a four-stage conversational cascade.

EMNLP 2026

2025

SafeWork-R1: Coevolving Safety and Intelligence under the AI-45° Law
Technical Report
SafeWork-R1: Coevolving Safety and Intelligence under the AI-45° Law

Shanghai AI Lab.

Technical Report 2025

Shanghai AI Lab technical report on coevolving safety and intelligence under the AI-45° Law.

SafeWork-R1: Coevolving Safety and Intelligence under the AI-45° Law

Shanghai AI Lab.

Shanghai AI Lab technical report on coevolving safety and intelligence under the AI-45° Law.

Technical Report
Frontier AI Risk Management Framework in Practice: A Risk Analysis Technical Report
Technical Report
Frontier AI Risk Management Framework in Practice: A Risk Analysis Technical Report

Shanghai AI lab.

Technical Report 2025

Shanghai AI Lab technical report on frontier AI risk management framework in practice.

Frontier AI Risk Management Framework in Practice: A Risk Analysis Technical Report

Shanghai AI lab.

Shanghai AI Lab technical report on frontier AI risk management framework in practice.

Technical Report
Non-Overlap-Aware Egocentric Pose Estimation for Collaborative Perception in Connected Autonomy
IROS 2025
Non-Overlap-Aware Egocentric Pose Estimation for Collaborative Perception in Connected Autonomy

Hong Huang; Dongkuan Xu; Hao Zhang; Peng Gao.

IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 2025 Oral

Non-overlap-aware egocentric pose estimation for collaborative perception in connected autonomy.

Non-Overlap-Aware Egocentric Pose Estimation for Collaborative Perception in Connected Autonomy

Hong Huang; Dongkuan Xu; Hao Zhang; Peng Gao.

Oral

Non-overlap-aware egocentric pose estimation for collaborative perception in connected autonomy.

IROS 2025
IQE-CLIP: Instance-aware Query Embedding for Zero-/Few-shot Anomaly Detection in Medical Domain
TIP 2026
IQE-CLIP: Instance-aware Query Embedding for Zero-/Few-shot Anomaly Detection in Medical Domain

Hong Huang; Weixiang Sun; Zhijian Wu; Donghuan Lu; Xian Wu; Yefeng Zheng.

IEEE Transactions on Image Processing 2026

Instance-aware query embedding for zero-/few-shot anomaly detection in medical domain.

IQE-CLIP: Instance-aware Query Embedding for Zero-/Few-shot Anomaly Detection in Medical Domain

Hong Huang; Weixiang Sun; Zhijian Wu; Donghuan Lu; Xian Wu; Yefeng Zheng.

Instance-aware query embedding for zero-/few-shot anomaly detection in medical domain.

TIP 2026
Hybrid Neural-MPM for Interactive Fluid Simulations in Real-Time
ArXiv 2025
Hybrid Neural-MPM for Interactive Fluid Simulations in Real-Time

Hong Huang*; Jingxuan Xu*; Chuhang Zou; Manolis Savva; Yunchao Wei; Wuyang Chen. (* equal contribution)

ArXiv 2025

Hybrid neural-MPM approach for interactive fluid simulations in real-time.

Hybrid Neural-MPM for Interactive Fluid Simulations in Real-Time

Hong Huang*; Jingxuan Xu*; Chuhang Zou; Manolis Savva; Yunchao Wei; Wuyang Chen. (* equal contribution)

Hybrid neural-MPM approach for interactive fluid simulations in real-time.

ArXiv 2025

2024

Style-Consistent 3D Indoor Scene Synthesis with Decoupled Objects
IJCNN 2025
Style-Consistent 3D Indoor Scene Synthesis with Decoupled Objects

Yunfan Zhang; Hong Huang; Zhiwei Xiong; Zhiqi Shen; Guosheng Lin; Hao Wang; Chan Hua Vun.

2025 International Joint Conference on Neural Networks (IJCNN) 2025

Style-consistent 3D indoor scene synthesis with decoupled objects.

Style-Consistent 3D Indoor Scene Synthesis with Decoupled Objects

Yunfan Zhang; Hong Huang; Zhiwei Xiong; Zhiqi Shen; Guosheng Lin; Hao Wang; Chan Hua Vun.

Style-consistent 3D indoor scene synthesis with decoupled objects.

IJCNN 2025