Peng Chen

High-resolution (30-m) multi-decadal reconstruction of coastal water quality via Landsat-Sentinel fusion and ensemble machine learning (1985–2024)

Zihan Chen, Peng Chen, Siqi Zhang, Yunzhou Li, Delu Pan

OSAGEN: Object-Aware Mask Priors and Multistage Decoupled Diffusion for Industrial Anomaly Generation

Jinyi Xu, Peng Chen, Yunkang Cao, Chengliang Liu, Xinghui Dong, Chao Huang

Industrial anomaly detection and localization are limited by scarce real anomalies and pixel-level annotations, a bottleneck that synthetic image-mask pairs can alleviate. However, existing few-shot mask-guided generation may over-follow mask geometry, produce weak anomalies, or…Read more

VFAD: Variational Semantic Prompting Meets Frequency-Adaptive Representation Learning for Zero-Shot Anomaly Detection

Peng Chen, Kaige Li, Wei Wang, Mingbo Yang, Wenqiang Wang, Li Shen, et al.

Zero-shot anomaly detection (ZSAD) aims to detect and localize anomalies in unseen categories without access to target-specific training data. Although recent CLIP-based methods have demonstrated promising generalization through vision-language alignment, they remain limited in c…Read more

PATS: Policy-Aware Training Scaffolding for Agentic Reinforcement Learning

Yipeng Shi, Zhipeng Ma, Yue Wang, Qitai Tan, Yang Li, Peng Chen, et al.

In long-horizon LLM agent reinforcement learning, weak policies often repeat similar failures, producing uninformative rollout trajectories and limiting effective policy optimization. Existing skill-centric methods improve exploration by optimizing, filtering, or internalizing re…Read more

Efficient Computing for Medical Image Acquisition and Reconstruction

Xiao Wang, Jayasai Rajagopal, Md Safaiat Hossain, Peng Chen, Mohamed Wahib, Enzhi Zhang, et al.

Medical imaging systems such as CT, MRI, PET, and SPECT do not directly acquire images. Instead, they measure physical signals that encode anatomical or physiological information, and image reconstruction recovers the underlying image by solving an inverse problem. Although these…Read more

Plasticizers and prostate cancer: unraveling the link through network toxicology and machine learning

Yiting Jiang, Jiang Shi, Shiwang Yuan, Jun Qiao, Yuan Tian, Peng Chen, et al.

Background Plasticizers, as widespread environmental endocrine disruptors, are increasingly linked to an elevated risk of prostate cancer (PCa). However, the specific molecular mechanisms by which they drive PCa initiation and progression remain incompletely elucidated. Addressin…Read more

Bridging Local Observation and Global Simulation in Closed-Loop Traffic Modeling

Ziyan Wang, Tan Xiang, Peng Chen, Xintao Yan

A local-to-global context mismatch arises when autoregressive traffic simulators trained on ego-centric driving logs are deployed in globally observable closed-loop environments. In such logs, the ego vehicle has rich local observations, while surrounding agents are only partiall…Read more

ATOD: Annealed Turn-aware On-policy Distillation for Multi-turn Autonomous Agents

Qitai Tan, Zefang Zong, Yang Li, Peng Chen

Training small language-model agents for long-horizon interactive tasks requires both fast imitation and reward-driven improvement. On-policy distillation (OPD) provides dense teacher guidance and typically improves rapidly in the early stage, but its gains saturate once the stud…Read more