Richeng Jin
特聘研究员
Works on federated and distributed machine learning, wireless intelligent networks, and security and privacy.
Richeng Jin's lab at Zhejiang works on trustworthy & safe ML, signal processing & information theory and distributed, cloud & edge systems. 52 papers since 2023, 4 at top venues, mostly GLOBECOM and ICLR. Applications close .
At a glance
- papers, 2023–2026
- 14/ year
- at T1 venues
- 8%
- PhD students
- —
- MS students
- —
- alumni listed
- —
Papers by yearfrom DBLP, 2023–2026
- 6 papers2026 · T1 0 · collecting
- 11 papers2025 · T1 2
- 18 papers2024 · T1 0
- 17 papers2023 · T1 2
T1 venuesOtherVenues: GLOBECOM, ICLR, ICML, ISIT, NeurIPS
Research focuspaper titles that use each topic's words
- Distributed, cloud & edge systems23 papers
- Signal processing & information theory1 paper
- Trustworthy & safe ML0 papers
- distributed machine0 papers
- isee0 papers
Paper list
From DBLP.
20266 papers
- IEEE Trans. Inf. Forensics Secur.A Differentially Private Quadrature Amplitude Modulation Mechanism for Federated Analytics (opens in a new tab)
- WCNCOne-Step Generative Channel Estimation via Average Velocity Field (opens in a new tab)
- IEEE Trans. Wirel. Commun.Recursive Flow: A Generative Framework for MIMO Channel Estimation (opens in a new tab)
- IWCMCScalable Semantic Communication for Multi-User Systems with Heterogeneous Tasks (opens in a new tab)
- IEEE Trans. Wirel. Commun.Semantics-Guided Diffusion for Deep Joint Source-Channel Coding in Wireless Image Transmission (opens in a new tab)
- PIMRCWiFi-InstancePose: Multi-Person Counting and 3D Human Pose Estimation from WiFi Signals (opens in a new tab)
202511 papers
- IEEE J. Sel. Areas Commun.Beamforming Design for Semantic-Bit Coexisting Communication System (opens in a new tab)
- MILCOMComputation- and Communication-Efficient Online FL for Resource-Constrained Aerial Vehicles (opens in a new tab)
- ICLR (T1)GSBAK: top-K Geometric Score-based Black-box Attack (opens in a new tab)
- IEEE Trans. Commun.H-MIMO-Assisted Task Offloading for Distributed Edge Computing (opens in a new tab)
- IEEE Wirel. Commun. Lett.Hypergraph Attention Network for Spatio-Temporal Interference Modeling in Cellular Networks (opens in a new tab)
- ICML (T1)Noisy SIGNSGD Is More Differentially Private Than You (Might) Think (opens in a new tab)
- IEEE Trans. Commun.Partial Replication for Delay-Optimal Distributed Edge Computing (opens in a new tab)
- GC WorkshopsQUANT: A Quality-Aware Adversarial Noise Removal Attack on Semantic Communications (opens in a new tab)
- PIMRCScenario Diversity Assessment for Data Down Scaling in Wireless AI: a Geometric Feature-Based Approach (opens in a new tab)
- IEEE Trans. Neural Networks Learn. Syst.Sign-Based Gradient Descent With Heterogeneous Data: Convergence and Byzantine Resilience (opens in a new tab)
- IEEE Signal Process. Lett.Weighted Probabilistic Mask Aggregation for Fault Tolerant Federated Learning (opens in a new tab)
202418 papers
- IEEE Netw.An Edge-Cloud Collaboration Framework for Generative AI Service Provision With Synergetic Big Cloud Model and Small Edge Models (opens in a new tab)
- IEEE Trans. Wirel. Commun.Dynamic Power Control for Delay-Optimal Coded Edge Computing (opens in a new tab)
- IEEE Trans. Veh. Technol.Efficient Content Delivery in User-Centric and Cache-Enabled Vehicular Edge Networks with Deadline-Constrained Heterogeneous Demands (opens in a new tab)
- ICC WorkshopEnhancing Approximate Message Passing via Diffusion Models Towards On-Device Intelligence (opens in a new tab)
- IEEE Trans. Neural Networks Learn. Syst.Federated Learning via Plurality Vote (opens in a new tab)
- IEEE Internet Things J.Hierarchical Federated Edge Learning With Adaptive Clustering in Internet of Things (opens in a new tab)
- IEEE Trans. Wirel. Commun.Hierarchical Federated Learning in Wireless Networks: Pruning Tackles Bandwidth Scarcity and System Heterogeneity (opens in a new tab)
- IEEE Trans. Commun.Integrated Localization and Communication for IRS-Assisted Multi-User mmWave MIMO Systems (opens in a new tab)
- IEEE Trans. Wirel. Commun.Integrated Sensing and Communication in IRS-Assisted High-Mobility Systems: Design, Analysis, and Optimization (opens in a new tab)
- WCNCIRS-Assisted Integrated Localization and Communication for Multiuser mmWave Massive MIMO Systems (opens in a new tab)
- IEEE Trans. Mob. Comput.Joint Compression and Deadline Optimization for Wireless Federated Learning (opens in a new tab)
- IEEE Trans. Signal Process.Magnitude Matters: Fixing signSGD Through Magnitude-Aware Sparsification and Error Feedback in the Presence of Data Heterogeneity (opens in a new tab)
202317 papers
- NeurIPS (T1)Breaking the Communication-Privacy-Accuracy Tradeoff with f-Differential Privacy (opens in a new tab)
- ISITCoded Parallelism for Distributed Deep Learning (opens in a new tab)
- CISSCommunication-Efficient Federated Learning with Channel-Aware Sparsification over Wireless Networks (opens in a new tab)
- CISSDecentralized Differentially Private Without-Replacement Stochastic Gradient Descent (opens in a new tab)
- IEEE J. Sel. Areas Commun.Deep Learning-Based Multi-User Positioning in Wireless FDMA Cellular Networks (opens in a new tab)
- MLSPDistributed Compressed Sensing With Personalized Variational Auto-Encoders (opens in a new tab)
- IEEE Trans. Signal Process.Distributed Learning Over Networks With Graph-Attention-Based Personalization (opens in a new tab)
- USENIX Security (T1)Gradient Obfuscation Gives a False Sense of Security in Federated Learning (opens in a new tab)
- ICC WorkshopGraph-Attention-Based Decentralized Edge Learning for Non-IID Data (opens in a new tab)
- IEEE Wirel. Commun.Implementing Graph Neural Networks Over Wireless Networks via Over-the-Air Computing: A Joint Communication and Computation Framework (opens in a new tab)
- GLOBECOM WorkshopJoint Compression and Deadline Optimization for Communication-Efficient Federated Edge Learning (opens in a new tab)
- IEEE Trans. Wirel. Commun.Location Privacy-Aware and Energy-Efficient Offloading for Distributed Edge Computing (opens in a new tab)
Where alumni went
Alumni are not listed on the lab homepage.
Apply to ZhejiangFall 2027
Computer Science PhD (international applicants)
- Round
- Self-funded
- Opens
- —
- GRE
- See program page
- English
- Per ZJU language requirements
- Fee
- RMB 800
Not yet confirmed for this intake.
Similar labsnearest by research summary
- USCMU
Hoda Heidari
- Trustworthy & safe ML
- USUT Austin
Swarat Chaudhuri
- Reasoning & neuro-symbolic AI
- USMichigan
Ji Zhu
- Learning theory & optimization
- USGeorgia Tech
Mark Andrew Davenport
- Learning theory & optimization
- USNYU
Pratyusha Sharma
- Signal processing & information theory
- CHEPFL
Pascal Frossard
- Trustworthy & safe ML
Your notes
Save this lab to keep notes.
Data
Some numbers could not be verified:
- The member list could not be found on the lab site.
- The alumni list could not be found on the lab site.
- The lab site and the paper record do not agree.
- Collected
- Verified
- Papers
- DBLP
- Members
- Not collected
- Alumni
- Not collected
Tiers are venue classifications, not lab rankings.
Zhejiangcloses