Jiannan Tian
Computer Science · Indiana University
Publications
72
Citations
806
Est. group size
~1
Recurring co-author estimate
Active years
15
Publishing since 2012
Jiannan Tian works on techniques to compress large scientific datasets so they take up less storage and move faster across computing systems, while keeping errors within acceptable bounds. Much of the recent work combines traditional compression methods with neural network learning and specialized hardware designs. Related work touches on parallel and distributed computing systems that handle such data.
Publication activity grew from a couple of papers per year around 2018 to a peak of roughly 13-15 per year in 2022-2023, and has remained steady at around 8-10 per year since.
Generated by claude-opus-4-8 from public bibliographic data · Jul 11, 2026
- Mitigating Artifacts in Pre-quantization Based Scientific Data Compressors with Quantization-aware Interpolation
2026
- FLARE: A Dataflow-Aware and Scalable Hardware Architecture for Neural-Hybrid Scientific Lossy Compression
arXiv (Cornell University) · 2025
- Boosting Scientific Error-Bounded Lossy Compression through Optimized Synergistic Lossy-Lossless Orchestration
2025
- NeurLZ: An Online Neural Learning-based Method to Enhance Scientific Lossy Compression
2025
- Real-time Monitoring Technology of Voltage Sag Disturbance in Distribution Network Based on TCN-Attention Neural Network and Flink Flow Computing
Distributed Generation & Alternative Energy Journal · 2023
- Analyzing Spark Performance on Spot Instances
Scholarworks (University of Massachusetts Amherst) · 2021
- Influence of Forcing Conditions on Total Water Level Prediction and Spatiotemporal Patterns in Delaware Bay, USA
2020
- Synchronised measurement devices for power systems with high penetration of inverter‐based renewable power generators
IET Renewable Power Generation · 2018
- A Communication Method for a Full-view Synchronized Measurement System
2018 IEEE 2nd International Electrical and Energy Conference (CIEEC) · 2018
- arXiv (Cornell University)×25
- Proceedings of the VLDB Endowment×2
- IEEE Transactions on Big Data×1
- ACM Computing Surveys×1
- 2022 IEEE 38th International Conference on Data Engineering (ICDE)×1
This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.
Last updated Jul 11, 2026.
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