6 citations · 18 across the 8 of their papers we have counts for
11 papers
M^4I: Multi-modal Models Membership Inference
Pingyi Hu, Zihan Wang, Ruoxi Sun +2
With the development of machine learning techniques, the attention of research has been moved from single-modal learning to multi-modal learning, as real-world data exist in the fo…
Document-aware Positional Encoding and Linguistic-guided Encoding for Abstractive Multi-document Summarization
Congbo Ma, Wei Emma Zhang, Pitawelayalage Dasun Dileepa Pitawela +3
One key challenge in multi-document summarization is to capture the relations among input documents that distinguish between single document summarization (SDS) and multi-document…
Risk and return prediction for pricing portfolios of non-performing consumer credit
Siyi Wang, Xing Yan, Bangqi Zheng +4
We design a system for risk-analyzing and pricing portfolios of non-performing consumer credit loans. The rapid development of credit lending business for consumers heightens the n…
Oriole: Thwarting Privacy against Trustworthy Deep Learning Models
Liuqiao Chen, Hu Wang, Benjamin Zi Hao Zhao +2
Deep Neural Networks have achieved unprecedented success in the field of face recognition such that any individual can crawl the data of others from the Internet without their expl…
Delayed Rewards Calibration via Reward Empirical Sufficiency
Yixuan Liu, Hu Wang, Xiaowei Wang +3
Appropriate credit assignment for delay rewards is a fundamental challenge for reinforcement learning. To tackle this problem, we introduce a delay reward calibration paradigm insp…
Multi-intersection Traffic Optimisation: A Benchmark Dataset and a Strong Baseline
Hu Wang, Hao Chen, Qi Wu +3
The control of traffic signals is fundamental and critical to alleviate traffic congestion in urban areas. However, it is challenging since traffic dynamics are complicated in real…