CN TsinghuaDepartment of Computer Science and Technology Feb 28
Works on multimedia information processing and big-data analysis, and leads the large-scale intelligent information processing team.
2026 Adaptive Mixture of Disentangled Experts for Dynamic Graph Out-of-Distribution Generalization ICLR 2026 Beyond Graph Distribution Shifts: LLMs, Adaptation, and Generalization KDD 79 T1133 papersGroup size not listed CN TsinghuaDepartment of Computer Science and Technology Feb 28
Xin Wang Associate Professor Works on multimedia intelligence, media big-data analysis, and machine learning, including automated and curriculum learning.
2026 Adaptive Mixture of Disentangled Experts for Dynamic Graph Out-of-Distribution Generalization ICLR 2026 Continual-GraphLLM: Dynamic Graph Large Language Model with Invariance Regularized Adaptive Multi-Scale Experts KDD 62 T1130 papersGroup size not listed CN PekingSchool of Intelligence Science and Technology Jan 15
Researches computer graphics, 3D vision and visualization.
2026 FieryGS: In-the-Wild Fire Synthesis with Physics-Integrated Gaussian Splatting ICLR 2026 Floating-Point Robustness in Parametric Surface Continuous Collision Detection: From Algorithm to Benchmarking TOG 40 T158 papersGroup size not listed US StanfordComputer Science Dec 8
Studies visualization, computer graphics and HCI, including tools that let people steer generative image and video models.
2026 Captain Cinema: Towards Short Movie Generation ICLR 2026 CubePart: An Open-Vocabulary Part-Controllable 3D Generator SIGGRAPH 33 T139 papersGroup size not listed US UT AustinComputer Science Dec 15
Develops scalable machine learning algorithms that exploit problem structure, including matrix and tensor methods, extreme classification and large-scale data…
2026 PyraTok: Language-Aligned Pyramidal Tokenizer for Video Understanding and Generation CVPR 2026 The Art of Scaling Reinforcement Learning Compute for LLMs ICLR 18 T124 papers2 members20 alumniCN TsinghuaDepartment of Computer Science and Technology Feb 28
Peng Cui Associate Professor (Tenured) Works on causally inspired stable learning, combining causal statistics with machine learning, and on big-data analysis.
2024 Domain-wise Data Acquisition to Improve Performance under Distribution Shift ICML 2024 Enhancing Distributional Stability among Sub-populations AISTATS 18 T120 papersGroup size not listed CN PekingSchool of Computer Science Jan 15
Leads the Multimedia Learning Group, researching distributed machine learning, brain-inspired computing and multimedia big-data analysis.
2023 A GPU-based computational framework that bridges Neuron simulation and Artificial Intelligence Nature Communications 2023 A Unified Framework of Soft Threshold Pruning ICLR 15 T129 papers24 members79 alumniUS Georgia TechSchool of Computational Science and Engineering Dec 15
Bridges machine learning and visualization, including explainable AI, AI security and adversarial machine learning.
2026 Transformer Explainer: Learning LLM Transformers with Interactive Visual Explanation and Experimentation CHI 2026 What Time Is It? How Data Geometry Makes Time Conditioning Optional for Flow Matching NeurIPS 14 T151 papers10 members63 alumniCA TorontoComputer Science Dec 1
Studies information visualization, including visualization of machine learning and statistical literacy.
2026 Texterial: A Text-as-Material Interaction Paradigm for LLM-Mediated Writing CHI 2026 A Design Framework for Visualization of Embedded Time-Series GI 14 T125 papers9 members27 alumniUS MITElectrical Engineering and Computer Science Dec 1
Uses interactive data visualization to study intelligence augmentation, including the Vega visualization stack and interfaces for understanding neural networks.
2026 Belidor: A Specification Language for Operationalizing Structural Analogies Between User Interfaces CHI 2026 Semantic Regexes: Auto-Interpreting LLM Features with a Structured Language ICLR 11 T126 papers5 members45 alumniUS MITElectrical Engineering and Computer Science Dec 1
Develops machine learning and Bayesian methods to quickly and reliably quantify uncertainty and robustness in data analysis.
2026 Dropping Just a Handful of Preferences Can Change Top Large Language Model Rankings ICLR 2026 An automatic finite-sample robustness metric: when can dropping a little data change conclusions? Part I: definitions and experiments Philosophical Transactions of the Royal Society A 11 T130 papers5 members17 alumniUS UMDComputer Science
Studies how people interpret uncertainty and outputs of computational models, designing visualizations that communicate probabilistic forecasts and AI…
2026 Codesigning Ripplet: An LLM-Assisted Assessment Authoring System Grounded in a Conceptual Model of Teachers' Workflows CHI 2026 DuoZone: A User-Centric, LLM-Guided Mixed-Initiative XR Window Management System ISMAR 9 T119 papers6 members7 alumniUS Georgia TechSchool of Interactive Computing Dec 15
Directs the Visual Analytics Lab, designing interactive visual tools that help people make sense of data and AI models.
2026 ContAQT: Designing an Interactive Data Display to Make Multi-Pollutant Air Quality Data Accessible CHI 2026 A Scoping Review of Mixed Initiative Visual Analytics in the Automation Renaissance EuroVis 7 T131 papers22 members9 alumniUS NYUComputer Science and Engineering (Tandon) Dec 12
Claudio Silva Institute Professor; Professor of Computer Science; Professor of Data Science; Co-Director of the VIDA Center Works on visualization and visual analytics, urban computing and sports analytics, including AR systems that guide and monitor AI task assistants.
2026 NeLU3D: Neural Inverse Structured Light Without Explicitly Modeling the Projector ECCV 2026 A visualization-driven decision support system for selecting feature attribution methods Inf. Syst. 7 T139 papers12 members30 alumniCH ETH ZurichComputer Science (D-INFK)
Researches visual analytics and human-AI collaboration, building interactive visualization tools that explain and steer language models and support text…
2026 PleaSQLarify: Visual Pragmatic Repair for Natural Language Database Querying CHI 2026 A Unified Intelligence-Augmented Framework for Building Audits via Physical and Virtual Inspection Expert Systems with Applications 6 T157 papers9 members3 alumniSG NTUCollege of Computing and Data Science
Yong Wang Assistant Professor Works on information visualization and visual analytics, including visual tools that explain machine learning models.
2026 BAIT: Visual-illusion-inspired Privacy Preservation for Mobile Data Visualization CHI 2026 EvoMaestro: Toward Interpretable and Steerable LLM-Driven Program Evolution UIST 6 T155 papers8 members3 alumniCA TorontoComputer Science Dec 1
Leads the HIVE Lab, building user-adaptive interactive visualizations with active learning.
2026 Reflexis: Supporting Reflexivity and Rigor in Collaborative Qualitative Analysis though Design for Deliberation CHI 2026 Code as Anchor, Memory and Metaphor as Support: Learner Experiences with Multi-View Visualizations ICER 5 T124 papersGroup size not listed US UMDComputer Science
Designs interactive visualization and data-analysis tools, including visualization authoring systems and AI-assisted data communication.
2026 The CAPED Framework: Characterizing User Skills in Chart Authoring through the Lens of Tasks and Tools 2026 What Do We Mean When We Talk About Infographics? IEEE Visualization Conference (VIS) Short Papers 4 T121 papers6 members5 alumniDE TUMDepartment of Computer Science
Develops efficient algorithms for real-time photorealistic rendering, scientific visualization and interactive visual data analysis, including neural…
2026 Speedy Stress-Scaled Sheet Structure Synthesis Symposium on Computational Fabrication 2025 Light Transport-aware Diffusion Posterior Sampling for Single-View Reconstruction of 3D Volumes CVPR 4 T118 papers4 members42 alumniCN ZhejiangCollege of Computer Science and Technology Feb 28
Researches visualization, visual analytics and biomedical image computing.
2024 Graph Diffusion Policy Optimization NeurIPS 2024 LoTLIP: Improving Language-Image Pre-training for Long Text Understanding NeurIPS 4 T128 papersGroup size not listed