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Shiguo Lian

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Open access Sep 2026

TPHH: a long-term (1901–2023) high-resolution (1∕30°) near-surface humidity dataset for the Tibetan Plateau generated via spatial downscaling based on hybrid-structure deep learning

The Tibetan Plateau acts as the “Asian Water Tower” and faces regional amplified warming compared to the global climate change baseline. Given the Tibetan Plateau's pronounced alpine terrain, i.e., significant elevation gradients within short horizontal distances, studies on climate changes/dynamics over this mountai...

Zheng Jin, Zezhou Chen, Qinglong You et al. · 0 citations
Preprint Aug 2026

EOVSAM: Efficient Open-Vocabulary Segmentation with SAM 3 in One Pass

Open-vocabulary segmentation identifies and segments objects from arbitrary textual descriptions. SAM 3 supports noun-phrase-guided segmentation and achieves competitive open-vocabulary performance through exhaustive vocabulary traversal, yet suffers from prohibitive computational overhead as target categories scale. I...

Hao Peng, Yong-Kang Li, Zhao-Xiang Liu et al. · 0 citations

HiMPO: Hindsight-Informed Memory Policy Optimization for Less-Entangled Credit in Long-Horizon Agents

HiMPO, a Hindsight-Informed Memory Policy Optimization framework for assigning less-entangled credit to memory-writing actions in long-horizon agents, improves over strong memory-based and RL-based baselines while preserving compressed-context efficiency.

Jiang-Ze Yan, Yili Shen, Wen-Jing Zhang et al. · 1 citation

HEAL: Hindsight Entropy-Assisted Learning for Reasoning Distillation

Hindsight Entropy-Assisted Learning (HEAL), an RL-free framework designed to bridge this reasoning gap, is proposed and extensive experiments demonstrate that HEAL significantly outperforms traditional SFT distillation and other baselines.

Wen-Jing Zhang, Jiang-Ze Yan, Jie-Fu Huang et al. · 1 citation
Review Aug 2026

Is Multimodal Speculative Decoding Ready for Diffusion-Based Parallel Drafting? A Survey and Empirical Diagnosis

A unified taxonomy that isolates drafter-side parallelism from orthogonal design choices such as tree construction and verification strategies is introduced, and a comprehensive empirical comparison of existing methods under varying degrees of parallelism across standardized multimodal benchmarks, including OCR, VQA, v...

Yantao Li, Huanlin Gao, Fang Zhao et al. · 0 citations
Preprint Aug 2026

Scalable Question-Centric Text-to-Image Evaluation: Reliable Ranking, Fine-Grained Diagnosis, and Cost-Aware Routing

Modern text-to-image (T2I) models often have similar total scores but different strengths, making practical selection difficult. Fine-grained benchmarks decompose prompts into questions, yet often return them to prompt scores and fixed categories, weakening attribution and ignoring complexity. Related requirements are...

Shao-An Zhao, Fang Zhao, Xueqiang Guo et al. · 0 citations

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