activity
20232026
most citedSpectrum-Aware Parameter Efficient Fine-Tuning for Diffusion Models

1 citations · 1 across the 5 of their papers we have counts for

collaborators

6 papers

cs.AI2026

When Debate Helps: Proposal Supply and Verification-Aware Readout in Multi-Agent Reasoning

Zihao Zhao, Tunyu Zhang, Haizhou Shi +3

Multi-agent debate can improve reasoning, yet often fails to beat simple majority voting. We argue that successful debate requires two distinct mechanisms: proposal supply must sur…

cs.CL2026

Few-Step Diffusion Language Models via Trajectory Self-Distillation

Tunyu Zhang, Xinxi Zhang, Ligong Han +9

Diffusion large language models (DLLMs) have emerged as powerful generative models with the promise of fast text generation through parallel decoding. However, realizing this poten…

cs.CV2025

Overcoming the Curvature Bottleneck in MeanFlow

Xinxi Zhang, Shiwei Tan, Quang Nguyen +7

MeanFlow offers a promising framework for one-step generative modeling by directly learning a mean-velocity field, bypassing expensive numerical integration. However, we find that…

cs.LG2024

DeepMIDE: A Multi-Output Spatio-Temporal Method for Ultra-Scale Offshore Wind Energy Forecasting

Feng Ye, Xinxi Zhang, Michael Stein +1

To unlock access to stronger winds, the offshore wind industry is advancing towards significantly larger and taller wind turbines. This massive upscaling motivates a departure from…

cs.CV2024★ 1 cited

Spectrum-Aware Parameter Efficient Fine-Tuning for Diffusion Models

Xinxi Zhang, Song Wen, Ligong Han +6

Adapting large-scale pre-trained generative models in a parameter-efficient manner is gaining traction. Traditional methods like low rank adaptation achieve parameter efficiency by…

cs.LG2023

PAC Privacy Preserving Diffusion Models

Qipan Xu, Youlong Ding, Xinxi Zhang +2

Data privacy protection is garnering increased attention among researchers. Diffusion models (DMs), particularly with strict differential privacy, can potentially produce images wi…