Perceptual Quality Assessment of Trisoup-Lifting Encoded 3D Point Clouds

Kavli Affiliate: Wei Gao | First 5 Authors: Juncheng Long, Honglei Su, Qi Liu, Hui Yuan, Wei Gao | Summary: No-reference bitstream-layer point cloud quality assessment (PCQA) can be deployed without full decoding at any network node to achieve real-time quality monitoring. In this work, we develop the first PCQA model dedicated to Trisoup-Lifting encoded […]


Continue.. Perceptual Quality Assessment of Trisoup-Lifting Encoded 3D Point Clouds

Perceptual Quality Assessment of Trisoup-Lifting Encoded 3D Point Clouds

Kavli Affiliate: Wei Gao | First 5 Authors: Juncheng Long, Honglei Su, Qi Liu, Hui Yuan, Wei Gao | Summary: No-reference bitstream-layer point cloud quality assessment (PCQA) can be deployed without full decoding at any network node to achieve real-time quality monitoring. In this work, we develop the first PCQA model dedicated to Trisoup-Lifting encoded […]


Continue.. Perceptual Quality Assessment of Trisoup-Lifting Encoded 3D Point Clouds

Direction Modulation Design for UAV Assisted by IRS with discrete phase shift

Kavli Affiliate: Wei Gao | First 5 Authors: Maolin Li, Wei Gao, Qi Wu, Feng Shu, Cunhua Pan | Summary: As a physical layer security technology, directional modulation (DM) can be combined with intelligent reflect-ing surface (IRS) to improve the security of drone communications. In this paper, a directional modulation scheme assisted by the IRS […]


Continue.. Direction Modulation Design for UAV Assisted by IRS with discrete phase shift

Harnessing micro-Fabry-Perot reference cavities in photonic integrated circuits

Kavli Affiliate: Kerry J. Vahala | First 5 Authors: Haotian Cheng, Chao Xiang, Naijun Jin, Igor Kudelin, Joel Guo | Summary: Compact photonic systems that offer high frequency stability and low noise are of increasing importance to applications in precision metrology, quantum computing, communication, and advanced sensing technologies. However, on-chip resonators comprised of dielectrics cannot […]


Continue.. Harnessing micro-Fabry-Perot reference cavities in photonic integrated circuits

Multimodal Misinformation Detection by Learning from Synthetic Data with Multimodal LLMs

Kavli Affiliate: Wei Gao | First 5 Authors: Fengzhu Zeng, Wenqian Li, Wei Gao, Yan Pang, | Summary: Detecting multimodal misinformation, especially in the form of image-text pairs, is crucial. Obtaining large-scale, high-quality real-world fact-checking datasets for training detectors is costly, leading researchers to use synthetic datasets generated by AI technologies. However, the generalizability of […]


Continue.. Multimodal Misinformation Detection by Learning from Synthetic Data with Multimodal LLMs

Fracture Characterization of Bioinspired Irregular Network Reinforced Composites

Kavli Affiliate: Chiara Daraio | First 5 Authors: Chelsea Fox, Tommaso Magrini, Chiara Daraio, , | Summary: The mechanical behavior of composite materials is significantly influenced by their structure and constituent materials. One emerging class of composite materials is irregular network reinforced composites (NRC’s), whose reinforcing phase is generated by a stochastic algorithm. Although design […]


Continue.. Fracture Characterization of Bioinspired Irregular Network Reinforced Composites

Preserving phase coherence and linearity in cat qubits with exponential bit-flip suppression

Kavli Affiliate: Oskar Painter | First 5 Authors: Harald Putterman, Kyungjoo Noh, Rishi N. Patel, Gregory A. Peairs, Gregory S. MacCabe | Summary: Cat qubits, a type of bosonic qubit encoded in a harmonic oscillator, can exhibit an exponential noise bias against bit-flip errors with increasing mean photon number. Here, we focus on cat qubits […]


Continue.. Preserving phase coherence and linearity in cat qubits with exponential bit-flip suppression

Decoding the hidden dynamics of super-Arrhenius hydrogen diffusion in multi-principal element alloys via machine learning

Kavli Affiliate: Wei Gao | First 5 Authors: Fei Shuang, Yucheng Ji, Zixiong Wei, Chaofang Dong, Wei Gao | Summary: Understanding atomic hydrogen (H) diffusion in multi-principal element alloys (MPEAs) is essential for advancing clean energy technologies such as H transport, storage, and nuclear fusion applications. However, the vast compositional space and the intricate chemical […]


Continue.. Decoding the hidden dynamics of super-Arrhenius hydrogen diffusion in multi-principal element alloys via machine learning

Predicting User Stances from Target-Agnostic Information using Large Language Models

Kavli Affiliate: Wei Gao | First 5 Authors: Siyuan Brandon Loh, Liang Ze Wong, Prasanta Bhattacharya, Joseph Simons, Wei Gao | Summary: We investigate Large Language Models’ (LLMs) ability to predict a user’s stance on a target given a collection of his/her target-agnostic social media posts (i.e., user-level stance prediction). While we show early evidence […]


Continue.. Predicting User Stances from Target-Agnostic Information using Large Language Models

Robust Salient Object Detection on Compressed Images Using Convolutional Neural Networks

Kavli Affiliate: Wei Gao | First 5 Authors: Guibiao Liao, Wei Gao, , , | Summary: Salient object detection (SOD) has achieved substantial progress in recent years. In practical scenarios, compressed images (CI) serve as the primary medium for data transmission and storage. However, scant attention has been directed towards SOD for compressed images using […]


Continue.. Robust Salient Object Detection on Compressed Images Using Convolutional Neural Networks