CN TsinghuaDepartment of Electronic Engineering Feb 28
Works on urban science and computing, AI for spatio-temporal and mobility data, and large-model agents for social simulation.
Time series, anomaly & spatio-temporal data Physics-based simulation & animation Physics, climate & scientific computing2026 AgentSwift: Efficient LLM Agent Design via Value-guided Hierarchical Search AAAI 2026 Artificial intelligence tools expand scientists' impact but contract science's focus Nature 122 T1 · 175 papers · 53 members · 72 alumni SaveCN ZhejiangCollege of Computer Science and Technology Feb 28
Works on data management and learning-based analytics over graphs, time series and high-dimensional data.
Graph mining & networks Time series, anomaly & spatio-temporal data Learning theory & optimization2026 A Unified Federated Framework for Trajectory Data Preparation via LLMs ICLR 2026 Beyond Relational: Semantic-Aware Multi-Modal Analytics with LLM-Native Query Optimization SIGMOD 93 T1 · 107 papers · Group size not listed SaveCN SJTUSchool of Computer Science May 31
Fan Wu Distinguished Professor Works on mobile intelligence such as on-device machine learning and crowdsensing, algorithmic network economics and data pricing and protection.
Time series, anomaly & spatio-temporal data Computational social science Reasoning & neuro-symbolic AI2026 A Creator-Aware Recommendation System for Content Platforms WWW 2026 Auction design with ex post ROI constraints Artificial Intelligence 86 T1 · 161 papers · 6 members SaveCN TsinghuaDepartment of Computer Science and Technology Feb 28
Works on database systems, human-machine collaborative crowd computing, spatio-temporal data processing, and the fusion of AI and databases.
Time series, anomaly & spatio-temporal data Data management & big data Human-AI collaboration & trust2026 A Topology-Aware Localized Update Strategy for Graph-Based ANN Index VLDB 2026 AgenticScholar: Agentic Data Management with Pipeline Orchestration for Scholarly Corpora SIGMOD 84 T1 · 102 papers · 15 members · 32 alumni SaveSG NUSDepartment of Computer Science Dec 15
Works on machine learning for graphs, anomaly detection, spatiotemporal data and reliability of vision-language models.
Time series, anomaly & spatio-temporal data Graph mining & networks Vision-language & multimodal2026 AliMark: Enhancing Robustness of Sentence-Level Watermarking Against Text Paraphrasing ICML 2026 Conversation for Non-verifiable Learning: Self-Evolving Large Language Models through Meta-Evaluation ICML 76 T1 · 101 papers · 10 members SaveCN ZhejiangCollege of Control Science and Engineering Feb 28
Works on network optimization and control and industrial IoT security, and on machine learning for industrial data such as label-free multivariate time-series…
Time series, anomaly & spatio-temporal data Trustworthy & safe ML Learning theory & optimization2026 Consistency-Aware Spot-Guided Transformer for Accurate and Versatile Point Cloud Registration TPAMI 2026 DiffPBR: Point-Based Rendering via Spatial-Aware Residual Diffusion ICLR 72 T1 · 210 papers · Group size not listed SaveCN PekingSchool of Computer Science Jan 15
Tong Yang Associate Professor Researches data structures and sketches for network measurement and data stream mining, and accelerates machine learning algorithms.
Time series, anomaly & spatio-temporal data2026 AlignSketch: A Framework for Aligning Theoretical and Practical Estimation Errors ICDE 2026 Beyond Parameter Arithmetic: Sparse Complementary Fusion for Distribution-Aware Model Merging NeurIPS 66 T1 · 104 papers · 10 members · 6 alumni SaveCH EPFLCivil Engineering Institute (IIC, School of Architecture, Civil and Environmental Engineering ENAC) Dec 1
Leads the Visual Intelligence for Transportation lab, developing computer vision and deep learning for autonomous mobility, such as human trajectory…
Embodied & active vision Robot perception & SLAM Time series, anomaly & spatio-temporal data2026 Deformable Gaussian Occupancy: Decoupling Rigid and Nonrigid Motion with Factorized Distillation CVPR 2026 EverAnimate: Minute-Scale Human Animation via Latent Flow Restoration NeurIPS 45 T1 · 107 papers · 12 members · 8 alumni SaveCN ZhejiangCollege of Computer Science and Technology Feb 28
Works on machine learning for graphs, time series and healthcare, including multi-view graph experts, implicit neural representations for time-series anomaly…
Time series, anomaly & spatio-temporal data Recognition, detection & segmentation Knowledge, QA & retrieval2026 Beyond Local Patterns: Multiscale Inconsistency Learning for Graph Anomaly Detection AAAI 2026 Code-Based English Models Reveal Surprising Performance on Chinese QA Pair Extraction Task SIGIR 40 T1 · 80 papers · Group size not listed SaveSG NUSDepartment of Computer Science Dec 15
Works on multimedia and spatio-temporal data management, streaming media architectures and applications of machine learning to mobile and immersive media.
Time series, anomaly & spatio-temporal data Data management & big data VR, AR & immersive media2026 OSCBench: Benchmarking Object State Change in Text-to-Video Generation ACL 2026 Out-of-Distribution-Resistant Evaluations for Explanations of Graph Neural Networks TPAMI 37 T1 · 97 papers · Group size not listed SaveUS USCComputer Science Dec 15
Yue Zhao Assistant Professor of Computer Science Leads the FORTIS lab on anomaly detection and trustworthy, scalable ML systems.
Time series, anomaly & spatio-temporal data Trustworthy & safe ML Recognition, detection & segmentation2026 "Someone Hid It": Query-Agnostic Black-Box Attacks on LLM-Based Retrieval ICML 2026 Can Multimodal LLMs Perform Time Series Anomaly Detection? WWW 34 T1 · 71 papers · 13 members · 23 alumni SaveUS CMUComputer Science Department Dec 9
Christos Faloutsos Fredkin University Professor of Computer Science Mines large graphs and time series, with work on graph patterns, anomaly detection and fraud detection.
Graph mining & networks Time series, anomaly & spatio-temporal data Recognition, detection & segmentation2026 From Big Time Series Forecasting to Foundation Models for Structured Data VLDB 2026 Understanding the Implicit Biases of Design Choices for Time Series Foundation Models ICLR 33 T1 · 55 papers · Group size not listed SaveUS CMULanguage Technologies Institute Dec 9
Studies machine learning for text, graphs and time series, including LLM reasoning and neural architecture search.
Accelerators, chips & architecture Time series, anomaly & spatio-temporal data Reasoning & agents2026 CO-Bench: Benchmarking Language Model Agents in Algorithm Search for Combinatorial Optimization AAAI 2026 CoMind: Toward Community-Driven Agents for Machine Learning Engineering ICLR 32 T1 · 52 papers · Group size not listed SaveCN ZhejiangCollege of Computer Science and Technology Feb 28
Heads the Interactive Data Group, working on visual analytics for urban informatics, sports and social media, and information visualization.
Time series, anomaly & spatio-temporal data Computational social science Language & society2026 Cerebra: Aligning Implicit Knowledge in Interactive SQL Authoring CHI 2026 ChronoMantic: A Natural Language Interface for Interactive Time Series Pattern Query UIST 32 T1 · 124 papers · Group size not listed SaveUS UIUCSiebel School of Computing and Data Science Dec 1
Tarek Abdelzaher Sohaib and Sara Abbasi Professor and Willett Faculty Scholar Studies social sensing, machine learning for IoT and cyber-physical systems, and intelligent real-time sensing systems.
Time series, anomaly & spatio-temporal data Data management & big data Rendering & appearance2026 Activation Steering for LLM Alignment via a Unified ODE-Based Framework ICLR 2026 Dywave: Event-Aligned Dynamic Tokenization for ICML 30 T1 · 85 papers · 11 members · 28 alumni SaveUS UIUCSchool of Information Sciences Dec 1
Studies human-centered and agentic AI for social sensing, including crowdsensing, misinformation detection on social media and social informatics.
Time series, anomaly & spatio-temporal data Computational social science Language & society2026 Conflict-Aware Adaptive Alignment for LLM Hallucination Mitigation ICML 2026 Learning Decomposed Contextual Token Representations from Pretrained and Collaborative Signals for Generative Recommendation SIGIR 27 T1 · 65 papers · 13 members · 5 alumni SaveCN TsinghuaDepartment of Electronic Engineering Feb 28
Works on network digital twins, urban emergency response, and complex systems with spatio-temporal data mining.
Time series, anomaly & spatio-temporal data Data management & big data2026 FedSkeleton: Secure Multi-Party Graph Skeleton Construction for Privacy-Preserving Federated Time-Series Forecasting AAAI 2026 FireSentry: A Multi-Modal Spatio-temporal Benchmark Dataset for Fine-Grained Wildfire Spread Forecasting KDD 27 T1 · 55 papers · Group size not listed SaveCN PekingSchool of Computer Science Jan 15
Researches big-data analysis, large language models, knowledge engineering, data governance and urban computing.
Time series, anomaly & spatio-temporal data Large language models Knowledge, QA & retrieval2026 ADEPT: Continual Pretraining via Adaptive Expansion and Dynamic Decoupled Tuning ICLR 2026 Beyond Imputation: A Semantic Unification Framework for Data and its Missingness in Multimodal Healthcare Analytics ICDE 26 T1 · 31 papers · Group size not listed SaveCN TsinghuaDepartment of Computer Science and Technology Feb 28
Works on AIOps and time-series intelligence for anomaly detection and failure diagnosis in large IT systems.
Time series, anomaly & spatio-temporal data Recognition, detection & segmentation2026 Smart Eye: LLM-Guided Proposer–Verifier Framework for Industrial-Scale Log Anomaly Detection WWW 2026 A Benchmark for Language Models in Real-World System Building (ICSE2026-SEIP), Rio de Janeiro, Brazil, April 12-18 17 T1 · 100 papers · 18 members · 40 alumni SaveCN PekingSchool of Computer Science Jan 15
Leye Wang Tenured Associate Professor Researches ubiquitous computing, mobile crowdsensing and urban computing with spatio-temporal prediction.
Time series, anomaly & spatio-temporal data Interfaces & interaction techniques2026 A Data-driven Route Segmentation Framework for Time-of-Arrival Estimation Service KDD 2026 Effective Online 3D Bin Packing with Lookahead Parcels Using Monte Carlo Tree Search KDD 17 T1 · 53 papers · Group size not listed Save