Ke Xu

Complementary Aspect-Based Opinion Mining

2017 · IEEE Transactions on Knowledge and Data Engineering

Aspect-based opinion mining is finding elaborate opinions towards a subject such as a product or an event. With explosive growth of opinionated texts on the Web, mining aspect-level opinions has become a promising means for …

Learning to Compare for Better Training and Evaluation of Open Domain Natural Language Generation Models

2020 · arXiv (Cornell University)

Automated evaluation of open domain natural language generation (NLG) models remains a challenge and widely used metrics such as BLEU and Perplexity can be misleading in some cases. In our paper, we propose to evaluate …

Investigating Learning Dynamics of BERT Fine-Tuning

2020

Yaru Hao, Li Dong, Furu Wei, Ke Xu. Proceedings of the 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing. 2020.

Effective and Robust Physical-World Attacks on Deep Learning Face Recognition Systems

2021 · IEEE Transactions on Information Forensics and Security

Deep neural networks (DNNs) have been increasingly used in face recognition (FR) systems. Recent studies, however, show that DNNs are vulnerable to adversarial examples, which potentially mislead DNN-based FR systems in the physical world. Existing …

Event-triggered sequential fusion filters for multi-sensor systems with multiplicative noises

2022 · 2022 37th Youth Academic Annual Conference of Chinese Association of Automation (YAC)

This paper combines an event-triggered mechanism with a multiplicative noise system to reduce the communication congestion and the calculation workload of the networked fusion center, and proposes an event-triggered Sequence Covariance Intersection and Sequence Inverse …

HiTIN: Hierarchy-aware Tree Isomorphism Network for Hierarchical Text Classification

2023

Hierarchical text classification (HTC) is a challenging subtask of multi-label classification as the labels form a complex hierarchical structure. Existing dual-encoder methods in HTC achieve weak performance gains with huge memory overheads and their structure …

UAV-Enabled Federated Learning in Dynamic Environments: Efficiency and Security Trade-Off

2023 · IEEE Transactions on Vehicular Technology

Unmanned aerial vehicles (UAVs) can be deployed as flying base stations to provide wireless communication and machine learning (ML) training services for ground user equipments (UEs). Due to privacy concerns, many UEs are not willing …

MIO: A Foundation Model on Multimodal Tokens

2024 · arXiv (Cornell University)

In this paper, we introduce MIO, a novel foundation model built on multimodal tokens, capable of understanding and generating speech, text, images, and videos in an end-to-end, autoregressive manner. While the emergence of large language …

On the Practice of Deep Hierarchical Ensemble Network for Ad Conversion Rate Prediction

2025

The predictions of click through rate (CTR) and conversion rate (CVR) play a crucial role in the success of ad-recommendation systems. A Deep Hierarchical Ensemble Network (DHEN) has been proposed to integrate multiple feature crossing …

TrafficLLM: Enhancing Large Language Models for Network Traffic Analysis with Generic Traffic Representation

2025 · arXiv (Cornell University)

Machine learning (ML) powered network traffic analysis has been widely used for the purpose of threat detection. Unfortunately, their generalization across different tasks and unseen data is very limited. Large language models (LLMs), known for …

Question Answering over Freebase with Multi-Column Convolutional Neural Networks

2015

Li Dong, Furu Wei, Ming Zhou, Ke Xu. Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 1: Long Papers). 2015.

Visualizing and Understanding the Effectiveness of BERT

2019

Yaru Hao, Li Dong, Furu Wei, Ke Xu. Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP). 2019.