Yichen Zhu

Orcid: 0000-0003-3614-1537

Affiliations:
  • Shanghai Jiao Tong University, Shanghai Key Laboratory of Scalable Computing and Systems, China


According to our database1, Yichen Zhu authored at least 12 papers between 2019 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2025
AdaSTI: Conditional Diffusion Models with Adaptive Dependency Modeling for Spatio-Temporal Imputation.
CoRR, September, 2025

m<sup>3</sup>ASL: ASL Gesture Recognition with Moving mmWave Radar.
Proceedings of the IEEE INFOCOM 2025, 2025

Offline Model-based Optimization with Fisher Divergence Regularization.
Proceedings of the International Joint Conference on Neural Networks, 2025

2024
Networked Time-series Prediction with Incomplete Data via Generative Adversarial Network.
ACM Trans. Knowl. Discov. Data, June, 2024

StableMiss+: Prediction with Incomplete Data Under Agnostic Mask Distribution Shift.
Proceedings of the IEEE International Conference on Acoustics, 2024

2023
STP-TrellisNets+: Spatial-Temporal Parallel TrellisNets for Multi-Step Metro Station Passenger Flow Prediction.
IEEE Trans. Knowl. Data Eng., July, 2023

Prediction with Incomplete Data under Agnostic Mask Distribution Shift.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

2021
Networked Time Series Prediction with Incomplete Data.
CoRR, 2021

2020
STP-TrellisNets: Spatial-Temporal Parallel TrellisNets for Metro Station Passenger Flow Prediction.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2019
U<sup>2</sup>-Tree: A Universal Two-Layer Distributed Indexing Scheme for Cloud Storage System.
IEEE/ACM Trans. Netw., 2019

An efficient and scalable multi-dimensional indexing scheme for modular data centers.
Data Knowl. Eng., 2019

CityFlow: A Multi-Agent Reinforcement Learning Environment for Large Scale City Traffic Scenario.
Proceedings of the World Wide Web Conference, 2019


  Loading...