📰 Latest News
🔬 Our new preprint on Swarm Robotics
📅 2026-06-13
📍 Posted on Arxiv
📎 PDF and Website
💡 PhySwarm couples physics-informed macro–micro modeling with reinforcement control to generate, regulate, and validate robot swarm emergence.
🔬 Our new paper on Blockchain
📅 2026-06-12
📍 Published at Cluster Computing
📎 PDF
💡 TEE-BFT reduces PBFT communication via TEE monotonic counters, improving blockchain consensus throughput, latency, and view-change robustness.
🔬 Our new paper on MARL
📅 2025-11-19
📍 Published at IEEE TSMC (IF=8.7)
📎 PDF Download
💡 A novel hierarchical reinforcement learning (HRL) baseline for multi-agent RL, autonomously generating dynamic subgoals to improve stability, efficiency, coordination, and convergence.
🔬 Our new paper on MARL
📅 2025-11-19
📍 Published at IEEE TPAMI (IF=18.6)
📎 PDF Download
💡 Dynamic Deep Factor Graphs dynamically learn factor-graph value decompositions, enhancing MARL coordination, sample efficiency, and robustness in complex tasks.
🔬 Our new paper on Blockchain For MGE
📅 2025-11-18
📍 Published at Scientific Data (IF=6.9)
📎 PDF Download
💡 This perspective reviews blockchain architectures for Material Genome Engineering, emphasizing provenance, interoperability, governance, and scalability in auditable materials data ecosystems.
💼 New Master Position Openings Available
📅 Postgraduate Entrance Examination Applying Deadline：2026-04-01
📌 View Open Positions
📎 Potential research topics: Swarm Robotics, Machine Learning, and AI4Science
📬 Email: xucheng@ustb.edu.cn
🔬 Our new paper on Swarm Learning
📅 2024-10-28
📍 Published at Nature Communications
📎 PDF Download
💡 A major breakthrough in secure distributed computation using swarm robotics and blockchain.
📢 Stay tuned! More updates will be posted here regularly.