43 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Zhejiang UniversityCN17 papers
- City University of MacauMO12 papers
- City UniversityBD6 papers
- Capital Normal UniversityCN5 papers
- Zhejiang University of Science and TechnologyCN4 papers
- East China University of TechnologyCN3 papers
- National University of SingaporeSG3 papers
- Harbin Engineering UniversityCN2 papers
- Magadh UniversityIN2 papers
- Shanghai Advanced Research InstituteCN2 papers
- Singapore Management UniversitySG2 papers
- Zhejiang Sci-Tech UniversityCN2 papers
26 papers
Imaginarity as a Resource within Quantum Coherence: Geometric Decomposition and Operational Conversion
Meng-Li Guo, Nannan Guan, Bo Li +2
We establish a rigorous framework that identifies imaginarity as a fundamental resource inherent in quantum coherence. By means of a geometric decomposition, we partition coherence…
TopKGAT: A Top-K Objective-Driven Architecture for Recommendation
Sirui Chen, Jiawei Chen, Canghong Jin +4
Recommendation systems (RS) aim to retrieve the top-K items most relevant to users, with metrics such as Precision@K and Recall@K commonly used to assess effectiveness. The archite…
BEAR: Towards Beam-Search-Aware Optimization for Recommendation with Large Language Models
Weiqin Yang, Bohao Wang, Zhenxiang Xu +5
Recent years have seen a rapid surge in research leveraging Large Language Models (LLMs) for recommendation. These methods typically employ supervised fine-tuning (SFT) to adapt LL…
Capturing Context-Aware Route Choice Semantics for Trajectory Representation Learning
Ji Cao, Yu Wang, Tongya Zheng +6
Trajectory representation learning (TRL) aims to encode raw trajectory data into low-dimensional embeddings for downstream tasks such as travel time estimation, mobility prediction…
Combined machine learning for stock selection strategy based on dynamic weighting methods
Lin Cai, Zhiyang He, Caiya Zhang
This paper proposes a novel stock selection strategy framework based on combined machine learning algorithms. Two types of weighting methods for three representative machine learni…
Robust biexciton preparation for entangled photon-pair generation by single-shot Floquet driving
Jun-Yong Yan, Paul C. A. Hagen, Hang-Yu Ge +10
Quantum emitters driven by resonant two-photon excitation are a leading source for deterministically generated entangled photon pairs, essential for scalable photonic quantum techn…
What Makes a Good TODO Comment?
Haoye Wang, Zhipeng Gao, Tingting Bi +4
Software development is a collaborative process that involves various interactions among individuals and teams. TODO comments in source code play a critical role in managing and co…
Quantifying the imaginarity via different distance measures
Meng-Li Guo, Si-Yin Huang, Bo Li +1
The recently introduced resource theory of imaginarity facilitates a systematic investigation into the role of complex numbers in quantum mechanics and quantum information theory.…
Geometry of sets of Bargmann invariants
Lin Zhang, Bing Xie, Bo Li
Certain unitary-invariants, known as Bargmann invariants or multivariate traces of quantum states, have recently gained attention due to their applications in quantum information t…
Simulation-Aided Policy Tuning for Black-Box Robot Learning
Shiming He, Alexander von Rohr, Dominik Baumann +2
How can robots learn and adapt to new tasks and situations with little data? Systematic exploration and simulation are crucial tools for efficient robot learning. We present a nove…
Geometric-Like imaginarity: quantification and state conversion
Meng-Li Guo, Bo Li, Shao-Ming Fei
From the perspective of resource-theoretic approach, this study explores the quantification of imaginary in quantum physics. We propose a well defined measure of imaginarity, the g…
MoE-Enhanced Explainable Deep Manifold Transformation for Complex Data Embedding and Visualization
Zelin Zang, Yuhao Wang, Jinlin Wu +4
Dimensionality reduction (DR) plays a crucial role in various fields, including data engineering and visualization, by simplifying complex datasets while retaining essential inform…
Unveiling Global Interactive Patterns across Graphs: Towards Interpretable Graph Neural Networks
Yuwen Wang, Shunyu Liu, Tongya Zheng +2
Graph Neural Networks (GNNs) have emerged as a prominent framework for graph mining, leading to significant advances across various domains. Stemmed from the node-wise representati…
Rethinking Early-Fusion Strategies for Improved Multispectral Object Detection
Xue Zhang, Si-Yuan Cao, Fang Wang +5
Most recent multispectral object detectors employ a two-branch structure to extract features from RGB and thermal images. While the two-branch structure achieves better performance…
JailbreakLens: Visual Analysis of Jailbreak Attacks Against Large Language Models
Yingchaojie Feng, Zhizhang Chen, Zhining Kang +5
The proliferation of large language models (LLMs) has underscored concerns regarding their security vulnerabilities, notably against jailbreak attacks, where adversaries design jai…
COLA: Cross-city Mobility Transformer for Human Trajectory Simulation
Yu Wang, Tongya Zheng, Yuxuan Liang +2
Human trajectory data produced by daily mobile devices has proven its usefulness in various substantial fields such as urban planning and epidemic prevention. In terms of the indiv…
Approaching the double-Heisenberg scaling sensitivity in the Tavis-Cummings model
Yuguo Su, Tiantian Ying, Bo Liu +1
The pursuit of quantum-enhanced parameter estimations without the need for nonclassical initial states has long been driven by the goal of achieving experimentally accessible quant…
A Closer Look at the Security Risks in the Rust Ecosystem
Xiaoye Zheng, Zhiyuan Wan, Yun Zhang +2
Rust is an emerging programming language designed for the development of systems software. To facilitate the reuse of Rust code, crates.io, as a central package registry of the Rus…
Software Architecture in Practice: Challenges and Opportunities
Zhiyuan Wan, Yun Zhang, Xin Xia +2
Software architecture has been an active research field for nearly four decades, in which previous studies make significant progress such as creating methods and techniques and bui…
Parameterized coherence measure
Meng-Li Guo, Zhi-Xiang Jin, Jin-Min Liang +2
Quantifying coherence is an essential endeavor for both quantum mechanical foundations and quantum technologies. We present a bona fide measure of quantum coherence by utilizing th…
Characterizing the superposition of arbitrary random quantum states and a known quantum state
Bo Li, Xiao-Bin Liang, Shao-Ming Fei
The superposition of states is one of the most fundamental issues in the quantum world. Generally there do not exist physical operations to superpose two unknown random states with…
Temporal Aggregation and Propagation Graph Neural Networks for Dynamic Representation
Tongya Zheng, Xinchao Wang, Zunlei Feng +6
Temporal graphs exhibit dynamic interactions between nodes over continuous time, whose topologies evolve with time elapsing. The whole temporal neighborhood of nodes reveals the va…
Entanglement as the cross-symmetric part of quantum discord
Chunhe Xiong, Sunho Kim, Asutosh Kumar +3
In this paper, we show that the minimal quantum discord over "cross-symmetric" state extensions is an entanglement monotone. In particular, we show that the minimal Bures distance…
Partial coherence versus entanglement
Sunho Kim, Chunhe Xiong, Shunlong Luo +2
We study partial coherence and its connections with entanglement. First, we provide a sufficient and necessary condition for bipartite pure state transformation under partial incoh…