CATorontoComputer Science
Studies 3D computer vision and generative models for content creation and simulation.
- 3D vision & neural rendering
- Generative & foundation models
- Physics-based simulation & animation
- 2026ChronoEdit: Towards Temporal Reasoning for In-Context Image Editing and World SimulationICLR
- 2026DiffusionHarmonizer: Bridging Neural Reconstruction and Photorealistic Simulation with Online Diffusion EnhancerCVPR
61 T1 · 63 papers · 21 members · 61 alumni CATorontoComputer Science
Leads the Toronto Intelligent Systems Lab, working on robot learning, multi-modal perception and robust autonomy.
- Manipulation & robot learning
- Robot perception & SLAM
- Vision-language & multimodal
- 2026Material Magic Wand: Material-Aware Grouping of 3D Parts in Untextured MeshesCVPR
- 2026Realistic Evaluation of Model Merging for Compositional GeneralizationTMLR
38 T1 · 49 papers · 18 members · 26 alumni CATorontoFaculty of Information
Studies information retrieval, social network analytics and responsible AI.
- Knowledge, QA & retrieval
- Language & society
- Social computing & responsible AI
- 2026A Benchmark & Dataset for Detecting AI-Manipulated Visual Evidence in the Court SystemCIKM
- 2026A Large-Scale Dataset for Gender-Fair Query ReformulationsSIGIR
37 T1 · 92 papers · 13 members · 81 alumni CATorontoComputer Science
Studies machine learning and computer vision for autonomous driving and simulation.
- Autonomous vehicles & drones
- Robot perception & SLAM
- Embodied & active vision
- 2026Conditional Flow-VAE for Safety-Critical Traffic Scenario GenerationICRA
- 2026Diffusion-guided Generalizable Enhancer for Urban Scene ReconstructionICRA
33 T1 · 33 papers · 17 members · 26 alumni CATorontoElectrical and Computer Engineering
Studies image and signal processing, machine learning and affective computing.
- Signal processing & information theory
- Speech enhancement & signal processing
- Affective & health speech
- 2026ASMIL: Attention-Stabilized Multiple Instance Learning for Whole-Slide ImagingICLR
- 2026CARA: Collision-Aware Resolution Adaptation for Multiresolution Hash Encoding Based Image FittingECCV
31 T1 · 94 papers · 6 members · 16 alumni CATorontoComputer Science
Studies large language models, collaborative and decentralized machine learning, and learning from limited data.
- Large language models
- Human-AI collaboration & trust
- 2025A Survey on Model MoErging: Recycling and Routing Among Specialized Experts for Collaborative LearningTMLR
- 2025AttriBoT: A Bag of Tricks for Efficiently Approximating Leave-One-Out Context AttributionICLR
30 T1 · 38 papers · 12 members · 25 alumni CATorontoDepartment of Mechanical & Industrial Engineering
Leads the D3M lab on conversational recommender systems, sequential decision-making and applied machine learning.
- Reinforcement learning
- Recommendation, search & web
- Dialogue, generation & summarization
- 2026CommonWhy: A Dataset for Evaluating Entity-Based Causal Commonsense Reasoning in Large Language ModelsSIGIR
- 2026Efficient Modality Translation via Arbitrary Conditioning and Wasserstein RegularizationAAAI
30 T1 · 69 papers · 12 members · 32 alumni CATorontoComputer Science
Studies interaction techniques for AR/VR and technology-assisted learning, including AI coding assistants for students.
- Interfaces & interaction techniques
- Human-AI collaboration & trust
- 2026Gazeify Then Voiceify: Physical Object Referencing Through Gaze and Voice Interaction with Displayless Smart GlassesIUI
- 2026LOOM: Personalized Learning Informed by Daily LLM Conversations Toward Long-Term Mastery via a Dynamic Learner Memory GraphPerFM@AAAI Workshop
29 T1 · 53 papers · 3 members · 12 alumni CATorontoComputer Science
Studies computational imaging, 3D computer vision and time-of-flight imaging with physics-based machine learning.
- Computational imaging & photography
- 3D vision & neural rendering
- 2026Dark3r: Learning Structure from Motion in the DarkCVPR
- 2026Efficient and Training-Free Single-Image Diffusion ModelsCVPR
28 T1 · 36 papers · 14 members · 40 alumni CATorontoComputer Science
Develops deep generative models and causal inference methods for machine learning in healthcare.
- Probabilistic & causal inference
- Generative & foundation models
- Efficient training & inference
- 2026Can we generate portable representations for clinical time series data using LLMs?ICLR
- 2026Causal methods for LLM development and evaluationKDD
25 T1 · 32 papers · 11 members · 30 alumni CATorontoComputer Science
Studies causal methods for NLP, multi-agent LLMs and AI safety.
- Large language models
- Reasoning & agents
- Trustworthy & safe ML
- 2026PaperMentor: A Human-Centered Multi-Agent Writing Tutor for AI Research Papers in OverleafACL
- 2026SocialHarmBench: Revealing LLM Vulnerabilities to Socially Harmful RequestsICLR
25 T1 · 45 papers · 14 members CATorontoComputer Science
Studies physics-based computer vision, computational photography and light transport.
- Computational imaging & photography
- Rendering & appearance
- 2026BHCast: Unlocking Black Hole Plasma Dynamics from a Single Blurry Image with Long-Term ForecastingCVPR
- 2026Dynamic Black-hole Emission Tomography with Physics-informed Neural FieldsCVPR
23 T1 · 45 papers · 21 members · 25 alumni CATorontoComputer Science
Studies optimization algorithms, sampling and the statistical theory of machine learning.
- Learning theory & optimization
- 2026Post-Training with Policy Gradients: Optimality and the Base Model BarrierICML
- 2025A Geometric Analysis of PCANeurIPS
22 T1 · 25 papers · 4 members · 8 alumni CATorontoComputer Science
Leads the EcoSystem group on hardware acceleration and systems for machine learning training.
- Accelerators, chips & architecture
- Efficient training & inference
- 2026BHCast: Unlocking Black Hole Plasma Dynamics from a Single Blurry Image with Long-Term ForecastingCVPR
- 2026DCC: Data-Centric Compilation of Machine Learning Kernels for Processing-In-Memory ArchitecturesISCA
19 T1 · 28 papers · 15 members · 25 alumni CATorontoElectrical and Computer Engineering
Studies security and privacy of machine learning, including differentially private learning and machine unlearning.
- 2026CaMeLs Can Use Computers Too: System-level Security for Computer Use AgentsNeurIPS
- 2026Certified in Theory, Broken in Practice: Assumption Gaps in Cryptographic Model CertificationUSENIX Security
19 T1 · 26 papers · 11 members · 43 alumni CATorontoComputer Science
Studies representation learning, generative models and algorithmic fairness.
- Generative & foundation models
- Trustworthy & safe ML
- 2025Adaptive Elicitation of Latent Information Using Natural LanguageICML
- 2025Guiding LLM Decision-Making with Fairness Reward ModelsNeurIPS
18 T1 · 25 papers · 15 members · 26 alumni CATorontoComputer Science
Studies discrete differential geometry and physics-based animation of rods, shells and contact.
- Physics-based simulation & animation
- Geometry processing & modeling
- 2026Low-Rank Koopman Deformables with Log-Linear Time IntegrationTOG
- 2026Script2Screen: Supporting Dialogue-Centric Scriptwriting with Interactive Audiovisual GenerationIUI
17 T1 · 21 papers · Group size not listed CATorontoDepartment of Statistical Sciences
Qiang SunAssociate Professor
Studies statistical foundations of generative and trustworthy AI.
- Learning theory & optimization
- Trustworthy & safe ML
- Interpretability, evaluation & safety of LMs
- 2026CamDirector: Towards Long-Term Coherent Video Trajectory EditingCVPR
- 2026DeCo-DETR: Decoupled Cognition DETR for efficient Open-Vocabulary Object DetectionICLR
17 T1 · 23 papers · 6 members · 39 alumni CATorontoComputer Science
Studies deep learning, Bayesian inference and optimization, including Monte Carlo methods.
- Probabilistic & causal inference
- Learning theory & optimization
- Efficient training & inference
- 2026Bayesian Sensitivity of Causal Inference Estimators under Evidence-Based PriorsTrans. Mach. Learn. Res.
- 2025A Geometric Analysis of PCANeurIPS
16 T1 · 18 papers · 6 members · 12 alumni CATorontoComputer Science
Studies physics-based animation, numerical methods for graphics and computational fabrication.
- Physics-based simulation & animation
- Geometry processing & modeling
- 2026Adaptive Volumetric Mechanical Property Fields Invariant to ResolutionICML
- 2026Fast Modal Dynamics for Hairy and Scaly Surfaces on the GPUSIGGRAPH
16 T1 · 23 papers · 7 members · 6 alumni