Wei Zhao

An Empirical Research on the College Students' Orientation of Postgraduate Entrance Exam

2017

Different orientations on postgraduate entrance exam of college students directly affect the quality of postgraduate education. This paper aims to guide and use these orientations appropriately based on analyzing the craze of postgraduate entrance exam …

Entanglement-distillation attack on continuous-variable quantum key distribution in a turbulent atmospheric channel

2017 · Physical Review A

The survival of Gaussian quantum states in a turbulent atmospheric channel is of crucial importance in free-space continuous-variable (CV) quantum key distribution (QKD), in which the transmission coefficient will fluctuate in time, thus resulting in …

A strategy-proof privacy-preserving double auction mechanism for electrical vehicles demand response in microgrids

2017

In this paper, we address the problem of demand response of electrical vehicles (EVs) during microgrid outages in the smart grid through the application of Vehicle-to-Grid (V2G) technology. Particularly, we present a novel privacy-preserving double …

Towards Scalable and Reliable Capsule Networks for Challenging NLP Applications

2019 · arXiv (Cornell University)

Obstacles hindering the development of capsule networks for challenging NLP applications include poor scalability to large output spaces and less reliable routing processes. In this paper, we introduce: 1) an agreement score to evaluate the …

Interpretable and Efficient Heterogeneous Graph Convolutional Network

2021 · IEEE Transactions on Knowledge and Data Engineering

Graph Convolutional Network (GCN) has achieved extraordinary success in learning representations of nodes in graphs. However, regarding Heterogeneous Information Network (HIN), existing HIN-oriented GCN methods still suffer from two deficiencies: (1) they cannot flexibly explore …

A Simple Weakly-Supervised Contrastive Learning Framework for Few-shot Sentiment Classification

2023 · Research Square

Abstract Most existing deep learning-based sentiment classification methods need large human-annotated data, but labeling large amounts of high-quality emotional texts is labor-intensive. Users on various social platforms generate massive amounts of tagged opinionated text (e.g., …

Frequency-mixed Single-source Domain Generalization for Medical Image Segmentation

2023 · arXiv (Cornell University)

The annotation scarcity of medical image segmentation poses challenges in collecting sufficient training data for deep learning models. Specifically, models trained on limited data may not generalize well to other unseen data domains, resulting in …

Defending Large Language Models Against Jailbreak Attacks via Layer-specific Editing

2024 · arXiv (Cornell University)

Large language models (LLMs) are increasingly being adopted in a wide range of real-world applications. Despite their impressive performance, recent studies have shown that LLMs are vulnerable to deliberately crafted adversarial prompts even when aligned …

Aligning Multiple Knowledge Graphs in A Single Pass

2026

Entity alignment (EA) is to identify equivalent entities across different knowledge graphs (KGs), which can help fuse these KGs into a more comprehensive one. Previous EA methods mainly focus on aligning a pair of KGs, …

Privacy-Preserving E-Voting Scheme with Dynamically Involved Voters

2024

As a more economical and efficient voting method than traditional voting, electronic voting (e-voting) has been widely concerned and supported. However, e-voting schemes face great challenges in privacy and security protection. In order to solve …

Reasoning Physical Video Generation with Diffusion Timestep Tokens via Reinforcement Learning

2025 · arXiv (Cornell University)

Despite recent progress in video generation, producing videos that adhere to physical laws remains a significant challenge. Traditional diffusion-based methods struggle to extrapolate to unseen physical conditions (eg, velocity) due to their reliance on data-driven …

IntentGC

2019

The remarkable progress of network embedding has led to state-of-the-art algorithms in recommendation. However, the sparsity of user-item interactions (i.e., explicit preferences) on websites remains a big challenge for predicting users' behaviors. Although research efforts …

Improving Grammatical Error Correction via Pre-Training a Copy-Augmented Architecture with Unlabeled Data

2019

Wei Zhao, Liang Wang, Kewei Shen, Ruoyu Jia, Jingming Liu. Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers). …

MoverScore: Text Generation Evaluating with Contextualized Embeddings and Earth Mover Distance

2019

Wei Zhao, Maxime Peyrard, Fei Liu, Yang Gao, Christian M. Meyer, Steffen Eger. Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing …