2 citations · 2 across the 11 of their papers we have counts for
14 papers
Background Gradients Shape Memorization in Flow Matching
Xuanhua Yin, Boyu Wei, Shuyi Zhang +3
Repetition is closely associated with memorization in generative models, but how other training images affect the retention and copying of targets remains unclear. We study this qu…
ReAL: Accelerating Flow Matching through Segment Advancement with Shared Lookahead
Xuanhua Yin, Chuanzhi Xu, Haoxian Zhou +2
Flow-matching models generate high-quality images and videos, but repeated neural network evaluations make sampling expensive. Skipping evaluations reduces this cost by extending a…
DefaultShift: Auditing Semantic Default Shift in Accelerated Text-to-Image Models
Xuanhua Yin, Chuanzhi Xu, Shunqi Mao +2
Few-step text-to-image models increasingly replace slower generators, yet acceleration can silently change distributions over unspecified attributes even when individual outputs re…
Calibrate What You SHIP: Post-Selection Risk Control for Verifier-Guided Text-to-Image Generation
Xuanhua Yin, Shunqi Mao, Wei Guo +2
Verifier-guided text-to-image systems increasingly use test-time search to select, refine, or stop among multiple candidates, yet release thresholds are often calibrated on individ…
Step-Level Preference Learning for Generative Agents in Social Simulations
Wenchang Gao, Pingyue Sheng, Lanlan Qiu +7
Large language model (LLM)-based generative agents simulate human behavior through long-horizon decision-making processes that comprise intermediate steps such as planning, memory…
LLM Nepotism in Organizational Governance
Shunqi Mao, Wei Guo, Dingxin Zhang +2
Large language models are increasingly used to support organizational decisions from hiring to governance, raising fairness concerns in AI-assisted evaluation. Prior work has focus…
Collapse of Patches: Ranking Image Patches for Efficient Visual Modeling
Wei Guo, Shunqi Mao, Zhuonan Liang +3
Observing certain patches in an image reduces the uncertainty of others. Their realization lowers the distribution entropy of each remaining patch feature, analogous to collapsing…
Beyond Random Masking: A Dual-Stream Approach for Rotation-Invariant Point Cloud Masked Autoencoders
Xuanhua Yin, Dingxin Zhang, Yu Feng +3
Existing rotation-invariant point cloud masked autoencoders (MAE) rely on random masking strategies that overlook geometric structure and semantic coherence. Random masking treats…
Ctrl-Z Sampling: Scaling Diffusion Sampling with Controlled Random Zigzag Explorations
Shunqi Mao, Wei Guo, Chaoyi Zhang +3
Diffusion models generate conditional samples by progressively denoising Gaussian noise, yet the denoising trajectory can stall at visually plausible but low-quality outcomes with…
Reflex First, Reflect Later: Latency-Aware Embodied LLM Agents for Dynamic Response
Yangqing Zheng, Shunqi Mao, Dingxin Zhang +1
Large language models (LLMs) have substantially improved the planning capabilities of embodied agents, enabling their deployment in dynamic and safety-critical environments. Howeve…
Through the Magnifying Glass: Adaptive Perception Magnification for Hallucination-Free VLM Decoding
Shunqi Mao, Chaoyi Zhang, Weidong Cai
Existing vision-language models (VLMs) often suffer from visual hallucination, where the generated responses contain inaccuracies that are not grounded in the visual input. Efforts…
Controllable Contextualized Image Captioning: Directing the Visual Narrative through User-Defined Highlights
Shunqi Mao, Chaoyi Zhang, Hang Su +3
Contextualized Image Captioning (CIC) evolves traditional image captioning into a more complex domain, necessitating the ability for multimodal reasoning. It aims to generate image…
DiffSeg: A Segmentation Model for Skin Lesions Based on Diffusion Difference
Zhihao Shuai, Yinan Chen, Shunqiang Mao +2
Weakly supervised medical image segmentation (MIS) using generative models is crucial for clinical diagnosis. However, the accuracy of the segmentation results is often limited by…
Towards Generalisable Audio Representations for Audio-Visual Navigation
Shunqi Mao, Chaoyi Zhang, Heng Wang +1
In audio-visual navigation (AVN), an intelligent agent needs to navigate to a constantly sound-making object in complex 3D environments based on its audio and visual perceptions. W…