activity
20102023
most citedTraining and Inference with Integers in Deep Neural Networks

328 citations · 943 across the 45 of their papers we have counts for

collaborators

45 papers

stat.CO2023

Stochastic Variational Inference for GARCH Models

Hanwen Xuan, Luca Maestrini, Feng Chen +1

Stochastic variational inference algorithms are derived for fitting various heteroskedastic time series models. We examine Gaussian, t, and skew-t response GARCH models and fit the…

cs.CV2023★ 2 cited

ReIDTrack: Multi-Object Track and Segmentation Without Motion

Kaer Huang, Bingchuan Sun, Feng Chen +5

In recent years, dominant Multi-object tracking (MOT) and segmentation (MOTS) methods mainly follow the tracking-by-detection paradigm. Transformer-based end-to-end (E2E) solutions…

cs.CL2023★ 8 cited

Chain-of-Thought Prompt Distillation for Multimodal Named Entity Recognition and Multimodal Relation Extraction

Feng Chen, Yujian Feng

Multimodal Named Entity Recognition (MNER) and Multimodal Relation Extraction (MRE) necessitate the fundamental reasoning capacity for intricate linguistic and multimodal comprehen…

cs.CV2023

Multiresolution Feature Guidance Based Transformer for Anomaly Detection

Shuting Yan, Pingping Chen, Honghui Chen +3

Anomaly detection is represented as an unsupervised learning to identify deviated images from normal images. In general, there are two main challenges of anomaly detection tasks, i…

cs.CV2023

SCTracker: Multi-object tracking with shape and confidence constraints

Huan Mao, Yulin Chen, Zongtan Li +2

Detection-based tracking is one of the main methods of multi-object tracking. It can obtain good tracking results when using excellent detectors but it may associate wrong targets…

quant-ph2023

Configured Quantum Reservoir Computing for Multi-Task Machine Learning

Wei Xia, Jie Zou, Xingze Qiu +5

Amidst the rapid advancements in experimental technology, noise-intermediate-scale quantum (NISQ) devices have become increasingly programmable, offering versatile opportunities to…