228 citations · 2.2k across the 99 of their papers we have counts for
33 papers · 1 filter
DiscoverPath: A Knowledge Refinement and Retrieval System for Interdisciplinarity on Biomedical Research
Yu-Neng Chuang, Guanchu Wang, Chia-Yuan Chang +8
The exponential growth in scholarly publications necessitates advanced tools for efficient article retrieval, especially in interdisciplinary fields where diverse terminologies are…
In-Band Co-Polarization Scattering Beam Scanning of Antenna Array Based on 1-Bit Reconfigurable Load Impedance
Binchao Zhang, Fan Yang, Shenheng Xu +2
Controlling the in-band co-polarization scattering of the antenna while maintaining its radiation performance is crucial for the low observable platform. Thus, this paper studies t…
Effect of Rare-earth Element Substitution in Superconducting RNiO Under Pressure
Zhiming Pan, Chen Lu, Fan Yang +1
Recently, high temperature (K) superconductivity (SC) has been discovered in LaNiO (LNO) under pressure. Question arises whether the transition temperatu…
Baichuan 2: Open Large-scale Language Models
Aiyuan Yang, Bin Xiao, Bingning Wang +52
Large language models (LLMs) have demonstrated remarkable performance on a variety of natural language tasks based on just a few examples of natural language instructions, reducing…
A Message Passing Detection based Affine Frequency Division Multiplexing Communication System
Lifan Wu, Shan Luo, Dongxiao Song +2
The next generation of wireless communication technology is anticipated to address the communication reliability challenges encountered in high-speed mobile communication scenarios…
Diffusion-based Time Series Data Imputation for Microsoft 365
Fangkai Yang, Wenjie Yin, Lu Wang +10
Reliability is extremely important for large-scale cloud systems like Microsoft 365. Cloud failures such as disk failure, node failure, etc. threaten service reliability, resulting…
RecMind: Large Language Model Powered Agent For Recommendation
Yancheng Wang, Ziyan Jiang, Zheng Chen +7
While the recommendation system (RS) has advanced significantly through deep learning, current RS approaches usually train and fine-tune models on task-specific datasets, limiting…
Words That Stick: Predicting Decision Making and Synonym Engagement Using Cognitive Biases and Computational Linguistics
Nimrod Dvir, Elaine Friedman, Suraj Commuri +2
This research draws upon cognitive psychology and information systems studies to anticipate user engagement and decision-making on digital platforms. By employing natural language…
A Predictive Model of Digital Information Engagement: Forecasting User Engagement With English Words by Incorporating Cognitive Biases, Computational Linguistics and Natural Language Processing
Nimrod Dvir, Elaine Friedman, Suraj Commuri +2
This study introduces and empirically tests a novel predictive model for digital information engagement (IE) - the READ model, an acronym for the four pivotal attributes of engagin…
Interlayer Coupling Driven High-Temperature Superconductivity in LaNiO Under Pressure
Chen Lu, Zhiming Pan, Fan Yang +1
The newly discovered high-temperature superconductivity in LaNiO under pressure has attracted a great deal of attentions. The essential ingredient characterizing the el…
The s-Wave Pairing and the Destructive Role of Apical-Oxygen Deficiencies in LaNiO Under Pressure
Yu-Bo Liu, Jia-Wei Mei, Fei Ye +2
Recently, the bilayer perovskite nickelate LaNiO has been reported to show evidence of high-temperature superconductivity (SC) under a moderate pressure of about 14 GPa…
Reversible Quantization Index Modulation for Static Deep Neural Network Watermarking
Junren Qin, Shanxiang Lyu, Fan Yang +3
Static deep neural network (DNN) watermarking techniques typically employ irreversible methods to embed watermarks into the DNN model weights. However, this approach causes permane…
Graph Meets LLM: A Novel Approach to Collaborative Filtering for Robust Conversational Understanding
Zheng Chen, Ziyan Jiang, Fan Yang +5
Conversational AI systems such as Alexa need to understand defective queries to ensure robust conversational understanding and reduce user friction. These defective queries often a…
1 Bit Electronically Reconfigurable Transmitarray Antenna with Out-of-Band Scatter Suppression
Binchao Zhang, Fan Yang, Shenheng Xu +2
Stealthy electronically reconfigurable transmitarray antennas are essential components in wireless communication and radar detection systems. Therefore, this paper proposes a 1 bit…
Student Classroom Behavior Detection based on Improved YOLOv7
Fan Yang
Accurately detecting student behavior in classroom videos can aid in analyzing their classroom performance and improving teaching effectiveness. However, the current accuracy rate…
Interpretation of Time-Series Deep Models: A Survey
Ziqi Zhao, Yucheng Shi, Shushan Wu +3
Deep learning models developed for time-series associated tasks have become more widely researched nowadays. However, due to the unintuitive nature of time-series data, the interpr…
DEGREE: Decomposition Based Explanation For Graph Neural Networks
Qizhang Feng, Ninghao Liu, Fan Yang +3
Graph Neural Networks (GNNs) are gaining extensive attention for their application in graph data. However, the black-box nature of GNNs prevents users from understanding and trusti…
Introspective Tips: Large Language Model for In-Context Decision Making
Liting Chen, Lu Wang, Hang Dong +9
The emergence of large language models (LLMs) has substantially influenced natural language processing, demonstrating exceptional results across various tasks. In this study, we em…
A Beam-Steering Reflectarray Antenna with Arbitrary Linear-Polarization Reconfiguration
Changhao Liu, Songlin Zhou, Fan Yang +2
This work presents a beam-steering reflectarray antenna that achieves arbitrary linear polarization (LP) reconfiguration. This antenna employs a dual-circular polarization (CP) rec…
Empower Large Language Model to Perform Better on Industrial Domain-Specific Question Answering
Fangkai Yang, Pu Zhao, Zezhong Wang +6
Large Language Model (LLM) has gained popularity and achieved remarkable results in open-domain tasks, but its performance in real industrial domain-specific scenarios is average d…
OR-NeRF: Object Removing from 3D Scenes Guided by Multiview Segmentation with Neural Radiance Fields
Youtan Yin, Zhoujie Fu, Fan Yang +1
The emergence of Neural Radiance Fields (NeRF) for novel view synthesis has increased interest in 3D scene editing. An essential task in editing is removing objects from a scene wh…
HACMan: Learning Hybrid Actor-Critic Maps for 6D Non-Prehensile Manipulation
Wenxuan Zhou, Bowen Jiang, Fan Yang +2
Manipulating objects without grasping them is an essential component of human dexterity, referred to as non-prehensile manipulation. Non-prehensile manipulation may enable more com…
Event-Free Moving Object Segmentation from Moving Ego Vehicle
Zhuyun Zhou, Zongwei Wu, Danda Pani Paudel +5
Moving object segmentation (MOS) in dynamic scenes is an important, challenging, but under-explored research topic for autonomous driving, especially for sequences obtained from mo…
Did You Train on My Dataset? Towards Public Dataset Protection with Clean-Label Backdoor Watermarking
Ruixiang Tang, Qizhang Feng, Ninghao Liu +2
The huge supporting training data on the Internet has been a key factor in the success of deep learning models. However, this abundance of public-available data also raises concern…