159 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Peking UniversityCN23 papers
- Peng Cheng LaboratoryCN8 papers
- Chinese Academy of SciencesCN4 papers
- Shenzhen UniversityCN4 papers
- University of Hong KongHK4 papers
- Chinese University of Hong KongHK3 papers
- Hong Kong University of Science and TechnologyHK3 papers
- South China University of TechnologyCN3 papers
- Central South UniversityCN2 papers
- Fraunhofer Institute for Integrated CircuitsDE2 papers
- Massachusetts Institute of TechnologyUS2 papers
- Nanyang Technological UniversitySG2 papers
48 papers
A Language-Guided Multimodal Foundation Model for Zero-Shot and Multi-Task Brain Signal Analysis
Mingzhi Chen, Yiyu Gui, Guibo Luo +1
Brain signal analysis is essential for both neuroscience research and clinical diagnostics, yet current approaches face critical limitations. End-to-end models require task-specifi…
Unsupervised Data-Efficient Cross-Modal Retrieval with Global-Neighborhood Alignment Hashing
Runhao Li, Xiaoxu Ma, Zhenyu Weng +5
Compared to supervised cross-modal hashing (CMH), unsupervised CMH reduces the reliance on manual labeling by learning binary codes from unlabeled image-text pairs. However, existi…
From Structure to Synergy: A Survey of Vision-Language Perception Paradigm Evolution in Multimodal Large Language Models
Haoxiang Sun, Tao Wang, Li Yuan +2
Multimodal Large Language Models (MLLMs) have recently made remarkable progress in unifying vision-language understanding and reasoning, especially following the introduction of mo…
Edge-directed geometric partitioning for versatile video coding
Xuewei Meng, Xinfeng Zhang, Chuanmin Jia +3
To improve the coding performance, geometric partition (GEO) was proposed for the upcoming VVC standard. GEO provides 140 partition candidates. The index of optimal GEO mode needs…
EdgePoW: Adaptive Ingress-Aware Defense with Non-Interactive PoW Against Volumetric SYN Floods
Wenyang Jia, Jingjing Wang, Xianneng Zou +1
The stability of Internet services is persistently challenged by large volumetric TCP SYN floods, for which conventional defenses such as SYN Cookies preserve server state but stil…
CellE: Automated Standard Cell Library Extension via Equality Saturation
Yi Ren, Yukun Wang, Xiang Meng +6
Automated standard cell library extension is crucial for maximizing Quality of Results (QoR) in modern VLSI design. We introduce CellE, a novel framework that leverages formal meth…
Overview and Comparison of AVS Point Cloud Compression Standard
Wei Gao, Wenxu Gao, Xingming Mu +2
Point cloud is a prevalent 3D data representation format with significant application values in immersive media, autonomous driving, digital heritage protection, etc. However, the…
Towards Intelligent Urban Park Development Monitoring: LLM Agents for Multi-Modal Information Fusion and Analysis
Zixuan Xiao, Chunguang Hu, Jun Ma
As an important part of urbanization, the development monitoring of newly constructed parks is of great significance for evaluating the effect of urban planning and optimizing reso…
AskNearby: An LLM-Based Application for Neighborhood Information Retrieval and Personalized Cognitive-Map Recommendations
Luyao Niu, Zhicheng Deng, Boyang Li +3
The "15-minute city" envisions neighborhoods where residents can meet daily needs via a short walk or bike ride. Realizing this vision requires not only physical proximity but also…
BlockSDN: Towards a High-Performance Blockchain via Software-Defined Cross Networking optimization
Wenyang Jia, Jingjing Wang, Ziwei Yan +2
The scalability of blockchain systems is constrained by inefficient P2P broadcasting, as most existing optimizations focus only on the logical layer without considering physical ne…
BlockSDN-VC: A SDN-Based Virtual Coordinate-Enhanced Transaction Broadcast Framework for High-Performance Blockchains
Wenyang Jia, Jingjing Wang, Kai Lei
Modern blockchains need fast, reliable propagation to balance security and throughput. Virtual-coordinate methods speed dissemination but rely on slow iterative updates, leaving no…
Defending against Indirect Prompt Injection by Instruction Detection
Tongyu Wen, Chenglong Wang, Xiyuan Yang +5
The integration of Large Language Models (LLMs) with external sources is becoming increasingly common, with Retrieval-Augmented Generation (RAG) being a prominent example. However,…
Trapping microswimmers in acoustic streaming flow
Xuyang Sun, Wenchang Tan, Yi Man
The acoustofluidic method holds great promise for manipulating microorganisms. When exposed to the steady vortex structures of acoustic streaming flow, these microorganisms exhibit…
GaussianSeal: Rooting Adaptive Watermarks for 3D Gaussian Generation Model
Runyi Li, Xuanyu Zhang, Chuhan Tong +2
With the advancement of AIGC technologies, the modalities generated by models have expanded from images and videos to 3D objects, leading to an increasing number of works focused o…
HMIL: Hierarchical Multi-Instance Learning for Fine-Grained Whole Slide Image Classification
Cheng Jin, Luyang Luo, Huangjing Lin +2
Fine-grained classification of whole slide images (WSIs) is essential in precision oncology, enabling precise cancer diagnosis and personalized treatment strategies. The core of th…
Auto-resolving the atomic structure at van der Waals interfaces using a generative model
Wenqiang Huang, Yuchen Jin, Zhemin Li +12
The high-resolution visualization of atomic structures is significant for understanding the relationship between the microscopic configurations and macroscopic properties of materi…
Vertical CNT-Si Photodiode Array
Arman Ahnood, Hang Zhou, Qing Dai +5
A photodiode consisting of nanopillars of thin-film silicon p-i-n on an array of vertically aligned carbon nanotubes (CNTs) with a noncontinuous cathode electrode is demonstrated.…
ClimateIQA: A New Dataset and Benchmark to Advance Vision-Language Models in Meteorology Anomalies Analysis
Jian Chen, Peilin Zhou, Yining Hua +7
Meteorological heatmaps play a vital role in deciphering extreme weather phenomena, yet their inherent complexities marked by irregular contours, unstructured patterns, and complex…
Dynamic Compositional Graph Convolutional Network for Efficient Composite Human Motion Prediction
Wanying Zhang, Shen Zhao, Fanyang Meng +2
With potential applications in fields including intelligent surveillance and human-robot interaction, the human motion prediction task has become a hot research topic and also has…
Regress Before Construct: Regress Autoencoder for Point Cloud Self-supervised Learning
Yang Liu, Chen Chen, Can Wang +2
Masked Autoencoders (MAE) have demonstrated promising performance in self-supervised learning for both 2D and 3D computer vision. Nevertheless, existing MAE-based methods still hav…
MLIC++: Linear Complexity Multi-Reference Entropy Modeling for Learned Image Compression
Wei Jiang, Jiayu Yang, Yongqi Zhai +2
The latent representation in learned image compression encompasses channel-wise, local spatial, and global spatial correlations, which are essential for the entropy model to captur…
Chatlaw: A Multi-Agent Legal Assistant based on a Role-Aligned Mixture-of-Experts Architecture
Jiaxi Cui, Munan Ning, Zongjian Li +6
Artificial Intelligence (AI) holds great potential in legal services, yet Large Language Models (LLMs) face two major challenges: limited knowledge of the Chinese legal system and…
Diffusion Probabilistic Model Based Accurate and High-Degree-of-Freedom Metasurface Inverse Design
Zezhou Zhang, Chuanchuan Yang, Yifeng Qin +3
Conventional meta-atom designs rely heavily on researchers' prior knowledge and trial-and-error searches using full-wave simulations, resulting in time-consuming and inefficient pr…
Disparity-based Stereo Image Compression with Aligned Cross-View Priors
Yongqi Zhai, Luyang Tang, Yi Ma +2
With the wide application of stereo images in various fields, the research on stereo image compression (SIC) attracts extensive attention from academia and industry. The core of SI…