Sotabase

Career

· Visiting Researcher, University of California, Berkeley2025–
· Research Intern, JD Group2021–2021
· Teaching Assistant, Rutgers University–New Brunswick2021–2025
· Doctor of Philosophy - PhD, Computer Science, Rutgers University–New Brunswick2020–2025
· Master's degree, Computer Science, 浙江大学2017–2020
· Bachelor's degree, Software Engineering, 西安电子科技大学2013–2017

Publications (36)

CrossHAR: Generalizing Cross-dataset Human Activity Recognition via Hierarchical Self-Supervised Pretraining
Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies · 2024
60
cited
EmotionalGAN: Generating ECG to Enhance Emotion State Classification
Proceedings of the 2019 International Conference on Artificial Intelligence and Computer Science · 2019
39
cited
A cascaded classifier for multi-lead ECG based on feature fusion
Comput. Methods Programs Biomed. · 2019
28
cited
CoMiner: nationwide behavior-driven unsupervised spatial coordinate mining from uncertain delivery events
SIGSPATIAL/GIS · 2022
22
cited
Towards Fair Workload Assessment via Homogeneous Order Grouping in Last-mile Delivery
International Conference on Information and Knowledge Management · 2022
17
cited
WePos
Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies · 2022
15
cited
SmallMap: Low-cost Community Road Map Sensing with Uncertain Delivery Behavior
Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies · 2024
12
cited
Paths2Pair: Meta-path Based Link Prediction in Billion-Scale Commercial Heterogeneous Graphs
Knowledge Discovery and Data Mining · 2024
11
cited
FastAddr: real-time abnormal address detection via contrastive augmentation for location-based services
SIGSPATIAL/GIS · 2022
10
cited
Urban-scale POI Updating with Crowd Intelligence
International Conference on Information and Knowledge Management · 2023
9
cited
LLM4HAR: Generalizable On-device Human Activity Recognition with Pretrained LLMs
Knowledge Discovery and Data Mining · 2025
8
cited
Multi-Level Spatial-Temporal Adaptation Network for Motor Imagery Classification
IEEE International Conference on Acoustics, Speech, and Signal Processing · 2022
6
cited
Where Have You Been? A Study of Privacy Risk for Point-of-Interest Recommendation
Knowledge Discovery and Data Mining · 2023
6
cited
CoAlign: Uncertainty Calibration of LLM for Geospatial Repartition
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 6: Industry Track) · 2025
5
cited
Complex-Path: Effective and Efficient Node Ranking with Paths in Billion-Scale Heterogeneous Graphs
Proceedings of the VLDB Endowment · 2024
5
cited
AddrLLM: Address Rewriting via Large Language Model on Nationwide Logistics Data
Knowledge Discovery and Data Mining · 2024
4
cited
Nationwide Behavior-Aware Coordinates Mining From Uncertain Delivery Events
IEEE Transactions on Knowledge and Data Engineering · 2024
4
cited
Variational Language Concepts for Interpreting Foundation Language Models
Conference on Empirical Methods in Natural Language Processing · 2024
4
cited
FineSat: Enhancing GNSS Signals for High-precision Sensing
Annual IEEE International Conference on Pervasive Computing and Communications · 2025
3
cited
REDE: Exploring Relay Transportation for Efficient Last-mile Delivery
IEEE International Conference on Data Engineering · 2023
3
cited
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Zhiqing Hong | Researcher Profile | Sotabase | Sotabase