collaborators

9 papers

cs.AI2026

Branch-JEPA: Finite-Support Predictive Distributions for JEPA World Models

Zhi Song, Ximing Xing, Zhenchao Tang +9

Joint-embedding predictive architectures (JEPAs) learn dynamics by predicting future observations in representation space. Yet most JEPA world models return one latent successor, e…

cs.CY2026

GGBound: A Genome-Grounded Agent for Microbial Life-Boundary Prediction

Hanbo Huang, Xuan Gong, Jing Wang +4

Characterizing the physiological life boundaries of microbial strains, including viable temperature, pH, salinity, substrate utilization, and morphology, is central to biotechnolog…

cs.CR2026

RLCracker: Evaluating the Worst-Case Vulnerability of LLM Watermarks with Adaptive RL Attacks

Hanbo Huang, Yiran Zhang, Hao Zheng +5

Large language model (LLM) watermarking has shown promise in detecting AI-generated content and mitigating misuse, with prior work claiming robustness against paraphrasing and text…

cs.CV2026

Reflection Anchors for Propagation-Aware Visual Retention in Long-Chain Multimodal Reasoning

Xuan Gong, Hanbo Huang, Hao Zheng +4

Long chain-of-thought (CoT) reasoning improves large vision--language models, but visual information often fades during generation, limiting long-horizon multimodal reasoning. Exis…

cs.CV2026

Resource-Constrained UAV-Based Weed Detection for Site-Specific Management on Edge Devices

Linyuan Wang, Haibo Yao, Te-Ming Tseng +4

Weeds compete with crops for light, water, and nutrients, reducing yield and crop quality. Efficient weed detection is essential for site-specific weed management (SSWM). Although…

cs.CL2026

VCORE: Variance-Controlled Optimization-based Reweighting for Chain-of-Thought Supervision

Xuan Gong, Senmiao Wang, Hanbo Huang +2

Supervised fine-tuning (SFT) on long chain-of-thought (CoT) trajectories has emerged as a crucial technique for enhancing the reasoning abilities of large language models (LLMs). H…