Jian Liu

Secret Sharing Schemes with General Access Structures (Full version).

2015 · IACR Cryptology ePrint Archive

Abstract. Secret sharing schemes with general monotone access struc-tures have been widely discussed in the literature. But in some scenarios, non-monotone access structures may have more practical significance. In this paper, we shed a new …

Defense Against Universal Adversarial Perturbations

2018

Recent advances in Deep Learning show the existence of image-agnostic quasi-imperceptible perturbations that when applied to 'any' image can fool a state-of-the-art network classifier to change its prediction about the image label. These 'Universal Adversarial …

A Bagging-based ensemble method for recommendations under uncertain rating data

2018

Matrix factorization (MF) is one of the most-used techniques to build recommender systems. However, in practical use, the existence of noise in the training set brings some uncertainty, degrading the performance of MF approaches. In …

Evaluating the Logical Reasoning Ability of ChatGPT and GPT-4

2023 · arXiv (Cornell University)

Harnessing logical reasoning ability is a comprehensive natural language understanding endeavor. With the release of Generative Pretrained Transformer 4 (GPT-4), highlighted as "advanced" at reasoning tasks, we are eager to learn the GPT-4 performance on …

Electro-optically programmable photonic circuits enabled by wafer-scale integration on thin-film lithium niobate

2023 · Physical Review Research

Programmable photonic circuits performing universal linear-optical transformations underpin vital functions in photonic quantum information processing, quantum-enhanced sensor networks, machine learning, and many other intriguing applications. Recent advances in photonic integrated circuits facilitate monolithic integration of …

Towards Robust Named Entity Recognition in Bangla With LLMs Based Data Augmentation

2024

Named Entity Recognition (NER) is a pivotal task in Natural Language Processing (NLP), focused on identifying specific entities in unstructured text. While significant advancements have been made, most existing methods are primarily designed for resource-rich …

Carbon Emission Anomaly Monitoring Method Based on Multidimensional Clustering and Intelligent Analysis

2025

In order to achieve the accurate monitoring and anomaly identification of carbon emissions in complex multiscenarios, this paper proposes a carbon emission anomaly monitoring method based on multi-dimensional clustering and intelligent analysis. Firstly, a carbon-electric …

FreeMesh: Boosting Mesh Generation with Coordinates Merging

2025 · arXiv (Cornell University)

The next-coordinate prediction paradigm has emerged as the de facto standard in current auto-regressive mesh generation methods. Despite their effectiveness, there is no efficient measurement for the various tokenizers that serialize meshes into sequences. In …

Knowledge Enhanced Event Causality Identification with Mention Masking Generalizations

2020

Identifying causal relations of events is a crucial language understanding task. Despite many efforts for this task, existing methods lack the ability to adopt background knowledge, and they typically generalize poorly to new, previously unseen …

Event Extraction as Machine Reading Comprehension

2020

Event extraction (EE) is a crucial information extraction task that aims to extract event information in texts. Previous methods for EE typically model it as a classification task, which are data-hungry and suffer from the …