33 citations · 85 across the 12 of their papers we have counts for
12 papers
On the Tradeoff between Privacy Preservation and Byzantine-Robustness in Decentralized Learning
Haoxiang Ye, Heng Zhu, Qing Ling
This paper jointly considers privacy preservation and Byzantine-robustness in decentralized learning. In a decentralized network, honest-but-curious agents faithfully follow the pr…
Optimal Compression of Unit Norm Vectors in the High Distortion Regime
Heng Zhu, Avishek Ghosh, Arya Mazumdar
Motivated by the need for communication-efficient distributed learning, we investigate the method for compressing a unit norm vector into the minimum number of bits, while still al…
HiTIN: Hierarchy-aware Tree Isomorphism Network for Hierarchical Text Classification
He Zhu, Chong Zhang, Junjie Huang +2
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…
Adaptive Data Augmentation for Contrastive Learning
Yuhan Zhang, He Zhu, Shan Yu
In computer vision, contrastive learning is the most advanced unsupervised learning framework. Yet most previous methods simply apply fixed composition of data augmentations to imp…
TQ-Net: Mixed Contrastive Representation Learning For Heterogeneous Test Questions
He Zhu, Xihua Li, Xuemin Zhao +2
Recently, more and more people study online for the convenience of access to massive learning materials (e.g. test questions/notes), thus accurately understanding learning material…
Interpretable Visual Question Answering Referring to Outside Knowledge
He Zhu, Ren Togo, Takahiro Ogawa +1
We present a novel multimodal interpretable VQA model that can answer the question more accurately and generate diverse explanations. Although researchers have proposed several met…
Learn Basic Skills and Reuse: Modularized Adaptive Neural Architecture Search (MANAS)
Hanxiong Chen, Yunqi Li, He Zhu +1
Human intelligence is able to first learn some basic skills for solving basic problems and then assemble such basic skills into complex skills for solving complex or new problems.…
Single-phase deep learning in cortico-cortical networks
Will Greedy, Heng Wei Zhu, Joseph Pemberton +2
The error-backpropagation (backprop) algorithm remains the most common solution to the credit assignment problem in artificial neural networks. In neuroscience, it is unclear wheth…
Graph Collaborative Reasoning
Hanxiong Chen, Yunqi Li, Shaoyun Shi +3
Graphs can represent relational information among entities and graph structures are widely used in many intelligent tasks such as search, recommendation, and question answering. Ho…
Hierarchical information matters: Text classification via tree based graph neural network
Chong Zhang, He Zhu, Xingyu Peng +2
Text classification is a primary task in natural language processing (NLP). Recently, graph neural networks (GNNs) have developed rapidly and been applied to text classification ta…
Intra-Class Uncertainty Loss Function for Classification
He Zhu, Shan Yu
Most classification models can be considered as the process of matching templates. However, when intra-class uncertainty/variability is not considered, especially for datasets cont…
BROADCAST: Reducing Both Stochastic and Compression Noise to Robustify Communication-Efficient Federated Learning
Heng Zhu, Qing Ling
Communication between workers and the master node to collect local stochastic gradients is a key bottleneck in a large-scale federated learning system. Various recent works have pr…