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Data Party THU
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Data Party THU

Official platform of Tsinghua Big Data Research Center, sharing the team's latest research, teaching updates, and big data news.

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Recent Articles

Latest from Data Party THU

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Data Party THU
Data Party THU
Sep 11, 2026 · Industry Insights

China's MIIT Unveils AI+Software Action Plan: 2028 Targets for Intelligent Programming & Agent Software

China's Ministry of Industry and Information Technology has issued a comprehensive implementation plan for AI-software integration, setting 2028 targets including intelligent programming tools for 20,000 enterprises, 100 intelligent agent applications, and 5 quality open-source projects, with a 2030 vision for global leadership in AI-driven software development and services.

AI+SoftwareChina MIITComputing Power
0 likes · 21 min read
China's MIIT Unveils AI+Software Action Plan: 2028 Targets for Intelligent Programming & Agent Software
Data Party THU
Data Party THU
Sep 10, 2026 · Artificial Intelligence

Harness Continual Learning: How Agents Evolve Without Model Fine-Tuning

Researchers from Nanjing University and University of Wollongong propose Harness Continual Learning (HCL), a framework where AI agents continuously adapt by evolving their system-level harness—prompts, memory, skills, tools, and routing—while keeping the base model frozen, demonstrating improved performance and controlled forgetting across diverse benchmarks.

ALFWorldAgent Continual LearningDeepSeek-V4
0 likes · 16 min read
Harness Continual Learning: How Agents Evolve Without Model Fine-Tuning
Data Party THU
Data Party THU
Sep 9, 2026 · Artificial Intelligence

Online and Off-Policy Learning for Large Action Spaces: Structured Exploration & Optimization

This PhD thesis addresses large action space contextual bandits, proposing mixed-effects and diffusion Thompson sampling for online learning, and structured direct methods, policy-weighted likelihood, exponential smoothing, and PAC-Bayes pessimism for offline learning, showing that action structure, optimizable objectives, and pessimism are crucial for scalable decision-making.

PAC-BayesThompson samplingcontextual bandits
0 likes · 21 min read
Online and Off-Policy Learning for Large Action Spaces: Structured Exploration & Optimization
Data Party THU
Data Party THU
Sep 7, 2026 · Artificial Intelligence

Vision-Language Models for Egocentric Video: From Hand-Object Interaction to Embodied AI

This survey reviews vision-language models for egocentric video, analyzing why standard VLMs fail on first-person footage and how hand-object interaction, spatiotemporal reasoning, graph-based representations, and semantic alignment bridge the gap toward embodied AI applications.

Egocentric VideoGraph Neural NetworksHand-Object Interaction
0 likes · 23 min read
Vision-Language Models for Egocentric Video: From Hand-Object Interaction to Embodied AI
Data Party THU
Data Party THU
Sep 6, 2026 · Artificial Intelligence

Inside the DOE's Genesis Mission: 278 Projects Building AI as Scientific Infrastructure

The U.S. Department of Energy's Genesis Mission selected 278 Phase I projects from over 5,000 applications to integrate AI with supercomputing and scientific instruments, showcasing three examples: GPU-accelerated Monte Carlo for LHC, cross-scale plasma dynamics discovery, and AI agents for high-energy physics analysis at CERN.

AI AgentsAI for scienceCERN
0 likes · 10 min read
Inside the DOE's Genesis Mission: 278 Projects Building AI as Scientific Infrastructure
Data Party THU
Data Party THU
Sep 5, 2026 · Artificial Intelligence

TinySR: Lightweight Diffusion for Real-World Super-Resolution, 5.68x Faster

TinySR introduces a lightweight diffusion transformer for real-world image super-resolution, achieving 5.68x inference speedup and 83% parameter reduction over its teacher model TSD-SR through learnable pruning, dynamic block activation, VAE compression, and removal of time/prompt modules, while maintaining competitive perceptual quality on benchmarks.

Model CompressionTinySRVAE lightweighting
0 likes · 17 min read
TinySR: Lightweight Diffusion for Real-World Super-Resolution, 5.68x Faster
Data Party THU
Data Party THU
Sep 3, 2026 · Databases

Sonar-TS: Training-Free Natural Language Querying for Massive Time Series Databases

Sonar-TS introduces a training-free framework for natural language querying of massive time series databases, defining the new NLQ4TSDB problem, creating the NLQTSBench benchmark, and using a search-then-verify approach with symbolic indexing and code-based verification to find pattern matches across millions of data points.

NLQ4TSDBNLQTSBenchSonar-TS
0 likes · 12 min read
Sonar-TS: Training-Free Natural Language Querying for Massive Time Series Databases
Data Party THU
Data Party THU
Sep 1, 2026 · Artificial Intelligence

How OVOW Turns Monocular Video into Physically Simulatable 4D Meshes

OVOW introduces a pipeline that converts ordinary monocular video into instance‑level 4D meshes with real‑world scale, motion, and physical properties, enabling direct editing and simulation in physics engines while outperforming prior 4D reconstruction methods in accuracy and speed.

4D reconstructionComputer VisionECCV 2026
0 likes · 9 min read
How OVOW Turns Monocular Video into Physically Simulatable 4D Meshes
Data Party THU
Data Party THU
Aug 31, 2026 · Industry Insights

How AI Is Becoming a Lab Partner: From Material Design to Automated Experiments

The article examines the emerging trend of autonomous science, highlighting how AI systems like CuspAI and PNNL are moving beyond data analysis to propose research directions, design experiments, and control laboratory equipment, aiming to accelerate material discovery while addressing challenges of data complexity and real‑world impact.

AIAutonomous ScienceCuspAI
0 likes · 6 min read
How AI Is Becoming a Lab Partner: From Material Design to Automated Experiments