C. Zheng

Carbon Nanotube‐Based Multi‐Functional “Yin”‐“Yang” Film: Dual Applications in Solar Water Evaporation and Blue Energy Harvesting

Run Lin, Peidi Zhou, Yu Sun, Fang Wang et autres

ABSTRACT The ocean abounds with a wide variety of energy sources and resources. To achieve more efficient exploitation of these, it is of great significance to design and prepare multifunctional composite materials capable of collecting and utilizing ocean energy and resources. Inspired …

cn (code pays fourni par la source)

Scaffolding thought: Imposing logical structure on LLMs with knowledge graphs for counterfactual generation

Jiasheng Si, Yingjie Zhu, Yeqing Teng, Rui Wang et autres

cn, sg, cl (code pays fourni par la source)

Context-Aware Deep Hashing for Cross-Domain Image Retrieval

Shihao Xiao, Hui Cui, Xiaohui Han, Lihai Zhao et autres

Unsupervised domain adaptive hashing has recently attracted increasing attention for cross-domain image retrieval, as it enables transferring knowledge from a labeled source domain to an unlabeled target domain while maintaining high storage and retrieval efficiency. However, existing methods typically focus on generating …

cn, au (code pays fourni par la source)

Seeing is Believing: Comprehensive Self-Reflective Evaluation System for Large Multi-Modal Models

Guocheng Hu, C. Zheng, Hongjiao Guan, Hui Cui et autres

The rapid advancement of large multi-modal models has created a pressing need for evaluation systems that are more comprehensive than conventional methods, which often focus only on isolated capabilities. In this paper, we propose a Self-Reflective Evaluation System (SRES), a holistic framework …

cn (code pays fourni par la source)

Marangoni‑driven salt‑rejecting evaporator integrated with hydrovoltaic‑galvanic hybrid circuit for sustainable water‑electricity co-production

Wenguang Pei, C. Zheng, Zijian Lu, Xu Yan et autres

cn (code pays fourni par la source)

PointTPA: Dynamic Network Parameter Adaptation for 3D Scene Understanding

Siyuan Liu, C. Zheng, Xin Zhou, Tianjiao Feng et autres

Scene-level point cloud understanding remains challenging due to diverse geometries, imbalanced category distributions, and highly varied spatial layouts. Existing methods improve object-level performance but rely on static network parameters during inference, limiting their adaptability to dynamic scene data. We propose PointTPA, a …

Highly efficient and environmentally benign cyclometalated Ir(iii) sensitizers for photocatalytic hydrogen production

Xiao Yao, Xuebo Yan, Huitao Wen, Silong Li et autres

cn (code pays fourni par la source)

From Incomplete to Valuable: Partial Cross-modal Hashing via Coarse-to-Fine Semantic Completion

C. Zheng, Y W Li, Lei Zhu, Ruifan Zuo et autres

cn, sg, au (code pays fourni par la source)

Beyond Fixed-Length Constraints: Variable-length Hashing via Adaptive Bit-importance Learning for Multi-modal Retrieval

Ruifan Zuo, C. Zheng, Fengling Li, Tianshi Wang et autres

cn, au (code pays fourni par la source)

Toward Accurate Federated Graph Learning Via Layer-Wised Clustering for Social Internet of Things

Yuru Liu, Yuange Liu, Weishan Zhang, Qiao Qiao et autres

federated graph learning (FGL) has emerged as a promising paradigm for privacy-preserving collaborative learning in Social Internet of Things (SIoT), where nodes form complex interconnected networks. Existing FGL approaches face significant challenges including model degradation in handling nonindependent and identically distributed (non-IID) …

cn (code pays fourni par la source)

Learning Together Securely: Prototype-Based Federated Multi-Modal Hashing for Safe and Efficient Multi-Modal Retrieval

Ruifan Zuo, C. Zheng, Lei Zhu, Wenpeng Lü et autres

With the proliferation of multi-modal data, safe and efficient multi-modal hashing retrieval has become a pressing research challenge, particularly due to concerns over data privacy during centralized processing. To address this, we propose Prototype-based Federated Multi-modal Hashing (PFMH), an innovative framework that …

SRLCG: Self-Rectified Large-Scale Code Generation with Multidimensional Chain-of-Thought and Dynamic Backtracking

Hongru Ma, Yanjie Liang, Jiasheng Si, Weiyu Zhang et autres

Large language models (LLMs) have revolutionized code generation, significantly enhancing developer productivity. However, for a vast number of users with minimal coding knowledge, LLMs provide little support, as they primarily generate isolated code snippets rather than complete, large-scale project code. Without coding …