CH EPFLSchool of Computer and Communication Sciences (IC) Dec 1
Leads the Computer Vision Laboratory, working on 3D reconstruction, shape modelling, biomedical image analysis and computer-assisted engineering design.
2026 DiffAtlas: GenAI-Fying Atlas Segmentation via Image-Mask Diffusion MICCAI 2026 End-to-End 4D Heart Mesh Recovery Across Full-Stack and Sparse Cardiac MRI TMLR 72 T1155 papers16 members88 alumniCN SJTUSchool of Integrated Circuits (Information and Electronic Engineering) May 31
Works on multimedia signal processing, including image and video quality assessment, enhancement and visual attention prediction.
2026 Adapter Shield: A Unified Framework with Built-In Authentication for Preventing Unauthorized Zero-Shot Image-to-Image Generation CVPR 2026 AesGI-Bench: Benchmarking and Evaluating the Aesthetic Quality of AI-Generated Images via Large Multimodal Models NeurIPS 57 T1150 papers17 members6 alumniCN TsinghuaTsinghua Shenzhen International Graduate School Feb 28
Works on signal processing, robotics, human-machine interfaces, and machine learning such as communication-efficient federated learning.
2026 AVR: Active Vision-Driven Precise Robot Manipulation with Viewpoint and Focal Length Optimization ICRA 2026 Embodied Spatial Affordance: Spatial-Aware Affordance Learning for Embodied Navigation and Manipulation TIP 44 T193 papersGroup size not listed CH EPFLSchool of Computer and Communication Sciences (IC) Dec 1
Leads the EPFL NLP group, building language systems that represent and reason about knowledge, including commonsense reasoning and knowledge-grounded language…
2026 AbstRaL: Augmenting LLMs' Reasoning by Reinforcing Abstract Thinking ICLR 2026 AI meets Mathematics Education: Supporting Instructors in Large Mathematics Classes with Context-Aware AI CHI 41 T161 papers10 members19 alumniUS UIUCElectrical and Computer Engineering Dec 1
Studies speech recognition and audio signal processing, including acoustic phonetics and speech technology for under-resourced languages.
2026 Decomposed On-Policy Distillation for Vision-Language Reasoning: Steering Gradients for Visual Grounding ICML 2026 In-Sync: Adaptation of Speech Aware Large Language Models for ASR with Word Level Timestamp Predictions ICASSP 38 T170 papers8 members79 alumniCH EPFLSchool of Computer and Communication Sciences (IC) Dec 1
Leads the Machine Learning and Optimization Laboratory, working on distributed and collaborative training, optimization methods and open medical language…
2026 Apertus: Democratizing Open and Compliant LLMs for Global Language Environments ACL 2026 Beyond URLs: Metadata Diversity and Position for Efficient LLM Pretraining ICLR 37 T146 papers12 members13 alumniSG NTUCollege of Computing and Data Science
Works on wireless sensing, deep learning and computing system integration for mobile and pervasive computing.
2026 Branch, or Layer? Zeroth-Order Optimization for Continual Learning of Vision-Language Models AAAI 2026 Cheating Stereo Matching in Full-Scale: Physical Adversarial Attack Against Binocular Depth Estimation in Autonomous Driving AAAI 35 T192 papersGroup size not listed · 24 alumniUS MichiganComputer Science and Engineering Dec 15
Joyce Chai Professor, EECS – Computer Science and Engineering Studies natural language processing grounded in vision and robotics, including situated human-machine communication and interactive task learning.
2026 Fast Spatial Memory with Elastic Test-Time Training ECCV 2026 RoboMME: Benchmarking and Understanding Memory for Robotic Generalist Policies ICML 34 T149 papers7 members88 alumniCA TorontoElectrical and Computer Engineering Dec 1
Studies image and signal processing, machine learning and affective computing.
2026 ASMIL: Attention-Stabilized Multiple Instance Learning for Whole-Slide Imaging ICLR 2026 CARA: Collision-Aware Resolution Adaptation for Multiresolution Hash Encoding Based Image Fitting ECCV 31 T194 papers6 members16 alumniSG NTUSchool of Electrical and Electronic Engineering
Works on network signal processing and machine learning, including distributed inference, social learning and graph network algorithms.
2026 Adaptive multi-view graph contrastive learning via fractional continuous dynamics NeurIPS 2026 Agent-OBJ: Prompt-driven 3D adversaries for multi-modal perception ECCV 29 T174 papers7 members19 alumniGB OxfordDepartment of Engineering Science Jan 7
Xiaowen Dong Associate Professor of Engineering Science Develops signal processing and machine learning for graph-structured data, with applications to social, urban and financial networks.
2026 A survey on over-smoothing and over-squashing: Unified propagation perspectives on graph neural networks and transformers TMLR 2026 Attention sinks and compression valleys in LLMs are two sides of the same coin ICLR 29 T171 papers21 members12 alumniCN TsinghuaDepartment of Automation Feb 28
Works on speech signal processing, personalized speech synthesis and deepfake audio detection, and continual learning.
2026 SpeechPalette: A Comprehensive Speech Editing Method for Text-Based Speech Editing, One-Shot TTS and Attributes Editing TPAMI 2026 MSSG: Multi-Scale Speaker Graph Network for Active Speaker Detection IEEE Trans. Multim. 25 T149 papersGroup size not listed US Georgia TechElectrical and Computer Engineering Dec 15
Researches speech recognition and deep learning for speech and audio signal processing.
2025 An Explicit Consistency-Preserving Loss Function for Phase Reconstruction and Speech Enhancement ICASSP 2025 The Multimodal Information Based Speech Processing (MISP) 2025 Challenge: Audio-Visual Diarization and Recognition Interspeech 24 T140 papersGroup size not listed CH EPFLSchool of Computer and Communication Sciences (IC) Dec 1
Researches distributed algorithms and robust distributed machine learning, including Byzantine-resilient learning and transactional memory.
2026 Distributional Machine Unlearning via Selective Data Removal ICLR 2026 Robust Federated Inference ICLR 24 T152 papers7 members46 alumniCN SJTUSchool of Integrated Circuits (Information and Electronic Engineering) May 31
Directs the Institute of Image Communication and Network Engineering, working on image coding and communication and, in recent work, image quality assessment…
2026 Compressing 3D Gaussian Splatting via Cross-Representation Priors TIP 2026 Content-Aware Mamba for Learned Image Compression ICLR 22 T1186 papersGroup size not listed DE TUMTUM School of Engineering and Design
Develops signal processing and machine learning methods for extracting geo-information from large Earth observation data, with applications to global…
2026 Beyond Pixel-wise Supervision: Local Structure Regularization for Semantic Segmentation NeurIPS 2026 Comparison Study: Glacier Calving Front Delineation in Synthetic Aperture Radar Images With Deep Learning TPAMI 21 T1231 papers24 members40 alumniCH EPFLSchool of Computer and Communication Sciences (IC) Dec 1
Works on deep learning for 2D and 3D scene understanding, efficient and robust deep learning, and domain adaptation.
2026 FastPose-ViT: A Vision Transformer for Real-Time Spacecraft Pose Estimation WACV 2026 Shot and Technical Error Detection in Tennis Using Graph Convolutional Networks International Sports Analytics Conference and Exhibition 20 T135 papers10 members12 alumniUS UIUCSiebel School of Computing and Data Science Dec 1
Studies natural language processing and human-AI interaction for science communication, including language models that adapt scientific text to readers.
2026 FOXGLOVE: Understanding Goal-Oriented and Anchored Writing Feedback from Experts and LLMs on Argumentative Essays EMNLP 2026 From Crafting Text to Crafting Thought: Grounding Intelligent Writing Support to Writing Center Pedagogy CHI 20 T136 papers7 members2 alumniHK CUHKDepartment of Electronic Engineering Dec 1
Works on speech signal processing, spoken language technology and assistive speech technologies.
2026 "ARCHI-TTS: A Flow-Matching-Based Text-to-Speech Model with Self-Supervised Semantic Aligner and Accelerated Inference ICASSP 2026 "FineLAP: Taming Heterogeneous Supervision for Fine-grained Language-Audio Pretraining ACL 19 T134 papers12 members114 alumniCH EPFLSchool of Computer and Communication Sciences (IC) Dec 1
Leads the Statistical Physics of Computation Laboratory, using statistical physics to study high-dimensional learning and inference problems.
2026 Inference in spreading processes with neural-network priors Physical Review E 2026 Minority takeover in majority dynamics: Searching for rare initializations via the history passing algorithm Physical Review E 18 T143 papers5 members