Distributed Computing
ETH Zurich

Zhao Meng

Zhao Meng

Distributed Computing Group
Computer Engineering and Networks Laboratory (TIK)
Department Electrical Engineering (D-ITET)
Office ETZ G 61.3
ETH Zurich

Gloriastrasse 35
8092 Zurich
Switzerland

phone+41 44 63 27730
fax+41 44 63 21036
email

Publications

Theses & Labs

Available Theses & Labs

TitleTypeContact/SupervisorAssigned
AI for Modern GovernmentB/M/SZhao Mengavailable
Adversarial Attack on Decentralized Financial SystemMZhao Mengavailable
Adversarial Perturbation of Graph StructureMKarolis Martinkus,
Zhao Meng
available
Blockchain Meets Graph Neural NetworksB/M/SZhao Mengavailable
Building Deep Learning Models for Dynamic GraphsB/M/SZhao Mengavailable
Online Dating for the LGBTQ CommunityB/M/SYe Wang,
Zhao Meng
available

Current Theses & Labs

TitleTypeContact/SupervisorAssignedStudent(s)
AI in FinanceBZhao MengHS 21
Contrastive Learning for Programming LanguagesBZhao MengHS 21
Multi-Hop Question AnsweringSZhao MengHS 21
Online Activities of the Fan CommunitySYe Wang,
Zhao Meng
HS 21
Understand What They Are Talking AboutSYe Wang,
Zhao Meng
HS 21
Understanding Deep Neural Networks by FoolingMZhao Meng,
Damian Pascual
FS 21
Deep Learning for Smart VoteSZhao MengHS 20

Past Theses & Labs

TitleTypeContact/SupervisorAssignedStudent(s)
Self-Supervised Contrastive Learning with Adversarial Perturbations for Robust Pretrained Language ModelsMZhao MengFS 21
RMCL : A Robust Multimodal Contrastive Learning Framework [confidential]MZhao MengFS 21
KM-BART: Knowledge Enhanced Multimodal BART for Visual Commonsense Generation [confidential]MZhao MengFS 21
Towards Robust Graph Contrastive Learning [confidential]SLukas Faber,
Zhao Meng
HS 20
DyR-MLP: a Dynamic Routing MLP Model for Temporal Knowledge Graph [confidential]MZhao MengHS 20
Deep Learning for Text Attribute Transfer on Auto Encoder ModelsBZhao Meng,
Damian Pascual
HS 20
Event-centric Forecasting on Temporal Knowledge Graph with TransformerSZhao MengHS 20
Emoji for Natural Language ProcessingMYe Wang,
Zhao Meng
HS 20
How Faithful Are Current Vision Language Navigation Models: A Study on R2R and R4R DatasetsSZhao MengFS 20