Minghua Xu

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 13

Top Topics

Energy Efficient

Set Intersection

Graph Representation

Top Venues

IACR Cryptol. ePrint Arch.

Publications

Huiyuan Chen, Zhe Xu, Chin-Chia Michael Yeh, Vivian Lai, Yan Zheng, Minghua Xu, Hanghang Tong
Masked Graph Transformer for Large-Scale Recommendation. SIGIR (2024)
Xiran Fan, Minghua Xu, Huiyuan Chen, Yuzhong Chen, Mahashweta Das, Hao Yang
Enhancing Hyperbolic Knowledge Graph Embeddings via Lorentz Transformations. ACL (Findings) (2024)
Huiyuan Chen, Zhe Xu, Chin-Chia Michael Yeh, Vivian Lai, Yan Zheng, Minghua Xu, Hanghang Tong
Masked Graph Transformer for Large-Scale Recommendation. CoRR (2024)
Yuying Zhao, Minghua Xu, Huiyuan Chen, Yuzhong Chen, Yiwei Cai, Rashidul Islam, Yu Wang, Tyler Derr
Can One Embedding Fit All? A Multi-Interest Learning Paradigm Towards Improving User Interest Diversity Fairness. CoRR (2024)
Shan Jin, Minghua Xu, Yiwei Cai
Energy Efficient Obfuscation of Side-Channel Leakage for Preventing Side-Channel Attacks. SAC (2024)
Yuying Zhao, Minghua Xu, Huiyuan Chen, Yuzhong Chen, Yiwei Cai, Rashidul Islam, Yu Wang, Tyler Derr
Can One Embedding Fit All? A Multi-Interest Learning Paradigm Towards Improving User Interest Diversity Fairness. WWW (2024)
Vivian Lai, Huiyuan Chen, Chin-Chia Michael Yeh, Minghua Xu, Yiwei Cai, Hao Yang
Enhancing Transformers without Self-supervised Learning: A Loss Landscape Perspective in Sequential Recommendation. CoRR (2023)
Yuchen Yan, Yuzhong Chen, Huiyuan Chen, Minghua Xu, Mahashweta Das, Hao Yang, Hanghang Tong
From Trainable Negative Depth to Edge Heterophily in Graphs. NeurIPS (2023)
Saikrishna Badrinarayanan, Ranjit Kumaresan, Mihai Christodorescu, Vinjith Nagaraja, Karan Patel, Srinivasan Raghuraman, Peter Rindal, Wei Sun, Minghua Xu
A Plug-n-Play Framework for Scaling Private Set Intersection to Billion-Sized Sets. CANS (2023)
Vivian Lai, Huiyuan Chen, Chin-Chia Michael Yeh, Minghua Xu, Yiwei Cai, Hao Yang
Enhancing Transformers without Self-supervised Learning: A Loss Landscape Perspective in Sequential Recommendation. RecSys (2023)
Saikrishna Badrinarayanan, Ranjit Kumaresan, Mihai Christodorescu, Vinjith Nagaraja, Karan Patel, Srinivasan Raghuraman, Peter Rindal, Wei Sun, Minghua Xu
A Plug-n-Play Framework for Scaling Private Set Intersection to Billion-sized Sets. IACR Cryptol. ePrint Arch. 2022 (2022)
Shan Jin, Minghua Xu, Riccardo Bettati, Mihai Christodorescu
An Optimal Energy Efficient Design of Artificial Noise for Preventing Power Leakage based Side-Channel Attacks. CoRR (2022)
Shan Jin, Minghua Xu, Riccardo Bettati, Mihai Christodorescu
Optimal Energy Efficient Design of Artificial Noise to Prevent Side-Channel Attacks. WIFS (2022)