Bo Zhang

Quantum Teleportation of an Arbitrary N-qubit State via EPR Channels

2015

This paper demonstrates that an arbitrary -qubit state can be faithfully and deterministically teleported from Alice to Bob via pairs of EPR channels. The analytical expression of the reconstruct criterion is derived explicitly in the …

Groupwise Bayesian dimension reduction

2017

Nearly all existing estimations of the central subspace in regression take the frequentist approach. However, when the predictors fall naturally into a number of groups, these frequentist methods treat all predictors indiscriminately and can result …

Forecast the Plausible Paths in Crowd Scenes

2017

Forecasting the future plausible paths of pedestrians in crowd scenes is of wide applications, but it still remains as a challenging task due to the complexities and uncertainties of crowd motions. To address these issues, …

Discriminative Nonparametric Latent Feature Relational Models with Data Augmentation

2016 · Proceedings of the AAAI Conference on Artificial Intelligence

We present a discriminative nonparametric latent feature relational model (LFRM) for link prediction to automatically infer the dimensionality of latent features. Under the generic RegBayes (regularized Bayesian inference) framework, we handily incorporate the prediction loss …

Robust Dynamical Decoupling for the Manipulation of a Spin Network via a Single Spin

2021 · arXiv (Cornell University)

High-fidelity control of quantum systems is crucial for quantum information processing, but is often limited by perturbations from the environment and imperfections in the applied control fields. Here, we investigate the combination of dynamical decoupling …

Research and improvement of k-means parallel multi-association clustering algorithm

2020

In this paper, k-means parallel clustering algorithm is studied. Firstly, this paper introduces the purpose and significance of k-means clustering algorithm. Secondly, we describe the process of clustering analysis, six classical clustering algorithms, the composition …

Application of Intelligent Sports Goods Based on Human-Computer Interaction Concept in Training Management

2022

We researched the relevant literature on intelligent wearable technology in the Internet of Things era to comb out the development path of intelligent wearable technology. The types of intelligent wearable products were collected and sorted …

Lightweight Certificateless Encryption Supporting Equality Test without Bilinear Pairing

2023

Certificateless cryptography enjoys the advantages of simplified certificate management and no key escrow problem. Equality test allows one to judge whether two ciphertexts are generated from two same plaintexts or not without decrypting them. Both …

OPT-GAN: A Broad-Spectrum Global Optimizer for Black-Box Problems by Learning Distribution

2023 · Proceedings of the AAAI Conference on Artificial Intelligence

Black-box optimization (BBO) algorithms are concerned with finding the best solutions for problems with missing analytical details. Most classical methods for such problems are based on strong and fixed a priori assumptions, such as Gaussianity. …

Bi3D: Bi-Domain Active Learning for Cross-Domain 3D Object Detection

2023

Unsupervised Domain Adaptation (UDA) technique has been explored in 3D cross-domain tasks recently. Though preliminary progress has been made, the performance gap between the UDA-based 3D model and the supervised one trained with fully annotated …

A novel prediction approach driven by graph representation learning for heavy metal concentrations

2024 · The Science of The Total Environment

The potential risk of heavy metals (HMs) to public health is an issue of great concern. Early prediction is an effective means to reduce the accumulation of HMs. The current prediction methods rarely take internal …

Dynamic Hypergraph-Enhanced Prediction of Sequential Medical Visits

2024 · arXiv (Cornell University)

This study introduces a pioneering Dynamic Hypergraph Networks (DHCE) model designed to predict future medical diagnoses from electronic health records with enhanced accuracy. The DHCE model innovates by identifying and differentiating acute and chronic diseases …

Lenna: Language Enhanced Reasoning Detection Assistant

2025

With the fast-paced development of multimodal large language models (MLLMs), we can now converse with AI systems in natural languages to understand images. However, the reasoning power and world knowledge embedded in the large language …

Research on RAG-Based Cognitive Large Language Model Training Method for Power Standard Knowledge

2025 · HighTech and Innovation Journal

Electrical standards encompass complex technical requirements across multiple disciplines, making their management and application a significant challenge that urgently requires efficient solutions. This paper proposes a knowledge graph retrieval-enhanced training method for large language models …

ComplexFormer: Disruptively Advancing Transformer Inference Ability via Head-Specific Complex Vector Attention

2025 · arXiv (Cornell University)

Transformer models rely on self-attention to capture token dependencies but face challenges in effectively integrating positional information while allowing multi-head attention (MHA) flexibility. Prior methods often model semantic and positional differences disparately or apply uniform …

Data governance embedded privacy calculus: a multi-level framework for explaining data-sharing in digital healthcare platforms

2026 · Journal of Decision System

Digital healthcare platforms (DHPs) rely on data-sharing across multiple actors and contexts to support patient-centred care. Advances in regulatory frameworks and technological infrastructures have been widely promoted as key enablers of data-sharing in DHPs. In …

Contrastive Cross-domain Recommendation in Matching

2022 · Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining

Cross-domain recommendation (CDR) aims to provide better recommendation results in the target domain with the help of the source domain, which is widely used and explored in real-world systems. However, CDR in the matching (i.e., …