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Ericsson Research
- Stockholm, Sweden
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06:28
(UTC -12:00) - https://orcid.org/0000-0002-0866-8342
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Codes for a WWW'21 Paper. POI recommender system for location/trajectory prediction.
Network Embedding as Matrix Factorization: Unifying DeepWalk, LINE, PTE, and node2vec
Official code for "LayoutVLM: Differentiable Optimization of 3D Layout via Vision-Language Models" (CVPR 2025)
An open, minimalist Gymnasium environment for autonomous coordination in wireless mobile networks.
Simple yet SoTA Knowledge Graph Embeddings.
Automatic feature extraction and node role assignment for transfer learning on graphs (ReFeX & RolX)
Code for our paper "Generative Flow Networks for Discrete Probabilistic Modeling"
An interior-point method written in python for solving constrained and unconstrained nonlinear optimization problems.
Generate .bib-file for 3GPP specifications
[ECCV 2024] WiMANS: A Benchmark Dataset for WiFi-based Multi-user Activity Sensing
Detail-Oriented CLIP for Fine-Grained Tasks (ICLR SSI-FM 2025)
This is the research repository for Vid2Doppler: Synthesizing Doppler Radar Data from Videos for Training Privacy-Preserving Activity Recognition.
[WWW 2019] DPLink: User Identity Linkage via Deep Neural Network From Heterogeneous Mobility Data
Differentiable Ray Tracing Toolbox for Radio Propagation Simulations
WiSegRT: Dataset for Site-Specific Indoor Radio Propagation Modeling with 3D Segmentation and Differentiable Ray-Tracing
We introduce WirelessAgent, a novel framework that harnesses large language models (LLMs) to create autonomous AI agents for diverse wireless network tasks.
Graph Convolutional Networks on User Mobility Heterogeneous Graphs for Social Relationship Inference
Code for "Weisfeiler and Leman go sparse: Towards higher-order graph embeddings"
On-device AI/LLM comm system | Pre-trained LLM integrated with 5G-NR PHY | Fine-tuned BART on noisy 3GPP CDL channels | 50 % compression via quantization | Evaluated with NVIDIA Sionna LLS
Code for "Towards Scale-Invariant Graph-related Problem Solving by Iterative Homogeneous GNNs" (NeurIPS 2020)