Jia Liu
Engineering · The Ohio State University
Publications
153
Citations
2,344
Est. group size
~2
Recurring co-author estimate
Active years
26
Publishing since 2000
This name appears to be associated with a mix of research areas spanning wireless communications and networking, distributed machine learning (federated learning, reinforcement learning), and recommender systems, alongside unrelated publications in manufacturing and biology that suggest possible name overlap with multiple researchers. The wireless/ML-focused work centers on optimizing large-scale distributed systems, making them robust to unreliable or adversarial participants, and improving decision-making algorithms. Because the bibliographic record appears to mix distinct research areas, prospective students should verify which specific publications and topics belong to the PI they intend to work with.
Publication output fluctuated over the last decade, rising to a peak in 2021, dipping in 2022-2024, and increasing again in 2025, indicating variable rather than steadily growing or declining activity.
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- SPRINT: Stochastic Performative Prediction With Variance Reduction
arXiv (Cornell University) · 2025
- Consensus-based Decentralized Multi-agent Reinforcement Learning for Random Access Network Optimization
arXiv (Cornell University) · 2025
- Consensus-based Decentralized Multi-agent Reinforcement Learning for Random Access Network Optimization
2025
- SPD-IRSCL: Semi-supervised Polyp Detection via Target-Aware Image Reinforcement Strategy and Dual-Branch Contrastive Learning
Signal Image and Video Processing · 2025
- Model–based and data–driven approaches for PEMFC bionic spider web channel cold plate structure design and liquid cooling performance optimization study
Renewable Energy · 2025
- HIF-1α/STOML2 mediated PINK1-dependent mitophagy activation against hypoxia-induced neuronal injury
bioRxiv (Cold Spring Harbor Laboratory) · 2025
- In-Dataset Trajectory Return Regularization for Offline Preference-based Reinforcement Learning
Proceedings of the AAAI Conference on Artificial Intelligence · 2025
- PCL: Prompt-based Continual Learning for User Modeling in Recommender Systems
2025
- Byzantine-Robust Federated Learning over Ring-All-Reduce Distributed Computing
2025
- Flow Field Design and Experiments on Electrochemical Machining of Blisk Channels Using Multiple Tube Electrode
Chinese Journal of Mechanical Engineering · 2025
- Pulse dynamic electrochemical machining for bipolar plates by electrolyte periodic reversal
The International Journal of Advanced Manufacturing Technology · 2025
- Blockchain Access Control Based on Continuous Trust Evaluation
2024
- In-Dataset Trajectory Return Regularization for Offline Preference-based Reinforcement Learning
arXiv (Cornell University) · 2024
- Low-complexity User Scheduling Framework for mmWave Hybrid Beam-forming OFDM System under Non-ideal CSI
Recent Advances in Computer Science and Communications · 2024
- Rethinking Sequential Relationships: Improving Sequential Recommenders with Inter-Sequence Data Augmentation
2024
- arXiv (Cornell University)×21
- IEEE Journal on Selected Areas in Communications×3
- Frontiers in artificial intelligence and applications×3
- IEEE Transactions on Network Science and Engineering×2
- The International Journal of Advanced Manufacturing Technology×2
- C. Emre Koksal
Engineering · The Ohio State University
- David J. Love
Engineering · Purdue University West Lafayette
- Eylem Ekici
Engineering · The Ohio State University
- David J. Love
Engineering · Purdue University West Lafayette
- Zhu Han
Engineering · Purdue University West Lafayette
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 19, 2026.
Claim or correct this profile