The Rate-Distortion-Perception-Classification Tradeoff: Joint Source Coding and Modulation via Inverse-Domain GANs

no code implementations • 22 Dec 2023 • Junli Fang, João F. C. Mota, Baoshan Lu, Weicheng Zhang, Xuemin Hong

The joint source coding and modulation (JSCM) framework was enabled by recent developments in deep learning, which allows to automatically learn from data, and in an end-to-end fashion, the best compression codes and modulation schemes.

Generative Adversarial Network Image Compression +1

SE#PCFG: Semantically Enhanced PCFG for Password Analysis and Cracking

no code implementations • 12 Jun 2023 • Yangde Wang, Weidong Qiu, Weicheng Zhang, Hao Tian, Shujun Li

Furthermore, based on SE#PCFG and a new systematic smoothing method, we proposed the Semantically Enhanced Password Cracking Architecture (SEPCA).

ForceFormer: Exploring Social Force and Transformer for Pedestrian Trajectory Prediction

no code implementations • 15 Feb 2023 • Weicheng Zhang, Hao Cheng, Fatema T. Johora, Monika Sester

Predicting trajectories of pedestrians based on goal information in highly interactive scenes is a crucial step toward Intelligent Transportation Systems and Autonomous Driving.

Autonomous Driving Pedestrian Trajectory Prediction +1

DEXTER: Deep Encoding of External Knowledge for Named Entity Recognition in Virtual Assistants

no code implementations • 15 Aug 2021 • Deepak Muralidharan, Joel Ruben Antony Moniz, Weicheng Zhang, Stephen Pulman, Lin Li, Megan Barnes, Jingjing Pan, Jason Williams, Alex Acero

Named entity recognition (NER) is usually developed and tested on text from well-written sources.

named-entity-recognition Named Entity Recognition +4