13 citations · 20 across the 9 of their papers we have counts for
9 papers
S-NeRF: Neural Radiance Fields for Street Views
Ziyang Xie, Junge Zhang, Wenye Li +2
Neural Radiance Fields (NeRFs) aim to synthesize novel views of objects and scenes, given the object-centric camera views with large overlaps. However, we conjugate that this parad…
POViT: Vision Transformer for Multi-objective Design and Characterization of Nanophotonic Devices
Xinyu Chen, Renjie Li, Yueyao Yu +4
We solve a fundamental challenge in semiconductor IC design: the fast and accurate characterization of nanoscale photonic devices. Much like the fusion between AI and EDA, many eff…
Federated Two-stage Learning with Sign-based Voting
Zichen Ma, Zihan Lu, Yu Lu +3
Federated learning is a distributed machine learning mechanism where local devices collaboratively train a shared global model under the orchestration of a central server, while ke…
Binary Random Projections with Controllable Sparsity Patterns
Wenye Li, Shuzhong Zhang
Random projection is often used to project higher-dimensional vectors onto a lower-dimensional space, while approximately preserving their pairwise distances. It has emerged as a p…
Sparse Lifting of Dense Vectors: Unifying Word and Sentence Representations
Wenye Li, Senyue Hao
As the first step in automated natural language processing, representing words and sentences is of central importance and has attracted significant research attention. Different ap…
An Augmented Transformer Architecture for Natural Language Generation Tasks
Hailiang Li, Adele Y. C. Wang, Yang Liu +3
The Transformer based neural networks have been showing significant advantages on most evaluations of various natural language processing and other sequence-to-sequence tasks due t…
Modeling Winner-Take-All Competition in Sparse Binary Projections
Wenye Li
Inspired by the advances in biological science, the study of sparse binary projection models has attracted considerable recent research attention. The models project dense input sa…
AuxBlocks: Defense Adversarial Example via Auxiliary Blocks
Yueyao Yu, Pengfei Yu, Wenye Li
Deep learning models are vulnerable to adversarial examples, which poses an indisputable threat to their applications. However, recent studies observe gradient-masking defenses are…
Network Community Detection with A Successive Spectral Relaxation Method
Wenye Li
With invaluable theoretical and practical benefits, the problem of partitioning networks for community structures has attracted significant research attention in scientific and eng…