Search Results for author: Siu Ming Yiu

Found 11 papers, 5 papers with code

Controllable Dictionary Example Generation: Generating Example Sentences for Specific Targeted Audiences

1 code implementation ACL 2022 Xingwei He, Siu Ming Yiu

In this paper, we introduce the problem of dictionary example sentence generation, aiming to automatically generate dictionary example sentences for targeted words according to the corresponding definitions.

Sentence

Neural Networks with (Low-Precision) Polynomial Approximations: New Insights and Techniques for Accuracy Improvement

no code implementations17 Feb 2024 Chi Zhang, Man Ho Au, Siu Ming Yiu

Experiments showed that combination of our solutions is very effective: at the same precision, our PANN is 10% to 50% more accurate than state-of-the-arts; and at the same accuracy, our PANN only requires a precision of $2^{-9}$ while state-of-the-art solution requires a precision of $2^{-12}$ using the ResNet-20 model on CIFAR-10 dataset.

Privacy Preserving

Extreme Two-View Geometry From Object Poses with Diffusion Models

1 code implementation5 Feb 2024 Yujing Sun, Caiyi Sun, YuAn Liu, Yuexin Ma, Siu Ming Yiu

Human has an incredible ability to effortlessly perceive the viewpoint difference between two images containing the same object, even when the viewpoint change is astonishingly vast with no co-visible regions in the images.

Object Pose Estimation

Deep Efficient Private Neighbor Generation for Subgraph Federated Learning

no code implementations9 Jan 2024 Ke Zhang, Lichao Sun, Bolin Ding, Siu Ming Yiu, Carl Yang

Behemoth graphs are often fragmented and separately stored by multiple data owners as distributed subgraphs in many realistic applications.

Federated Learning Graph Mining

Improving Factual Error Correction by Learning to Inject Factual Errors

no code implementations12 Dec 2023 Xingwei He, Qianru Zhang, A-Long Jin, Jun Ma, Yuan Yuan, Siu Ming Yiu

Given the lack of paired data (i. e., false claims and their corresponding correct claims), existing methods typically adopt the mask-then-correct paradigm.

Hallucination

AnnoLLM: Making Large Language Models to Be Better Crowdsourced Annotators

1 code implementation29 Mar 2023 Xingwei He, Zhenghao Lin, Yeyun Gong, A-Long Jin, Hang Zhang, Chen Lin, Jian Jiao, Siu Ming Yiu, Nan Duan, Weizhu Chen

To be more precise, we begin by creating prompts for every demonstrated example, which we subsequently utilize to prompt a LLM to provide an explanation for why the specific ground truth answer/label was chosen for that particular example.

Deep Multiple Instance Learning For Forecasting Stock Trends Using Financial News

no code implementations29 Jun 2022 Yiqi Deng, Siu Ming Yiu

A major source of information can be taken from financial news articles, which have some correlations about the fluctuation of stock trends.

Multiple Instance Learning

Subgraph Federated Learning with Missing Neighbor Generation

1 code implementation NeurIPS 2021 Ke Zhang, Carl Yang, Xiaoxiao Li, Lichao Sun, Siu Ming Yiu

Graphs have been widely used in data mining and machine learning due to their unique representation of real-world objects and their interactions.

Federated Learning Graph Mining

A VCG-based Fair Incentive Mechanism for Federated Learning

no code implementations15 Aug 2020 Mingshu Cong, Han Yu, Xi Weng, Jiabao Qu, Yang Liu, Siu Ming Yiu

In order to build an ecosystem for FL to operate in a sustainable manner, it has to be economically attractive to data owners.

Computer Science and Game Theory

A multi-task learning model for malware classification with useful file access pattern from API call sequence

no code implementations19 Oct 2016 Xin Wang, Siu Ming Yiu

Based on API call sequences, semantic-aware and machine learning (ML) based malware classifiers can be built for malware detection or classification.

Classification Document Classification +6

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