Zhi Yang
Associate Researcher
Researches AI computing systems and distributed systems.
Zhi Yang's lab at Peking works on distributed, cloud & edge systems. 23 papers since 2023. Applications close .
At a glance
- papers, 2023–2026
- 6/ year
- at T1 venues
- 0%
- PhD students
- —
- MS students
- —
- alumni listed
- —
Papers by yearfrom the lab homepage, 2023–2026
- 9 papers2026 · T1 0 · collecting
- 4 papers2025 · T1 0
- 3 papers2024 · T1 0
- 7 papers2023 · T1 0
T1 venuesOther
Research focuspaper titles that use each topic's words
- Distributed, cloud & edge systems2 papers
- distributed1 paper
- systems1 paper
- computing systems0 papers
- distributed systems0 papers
Paper list
From the lab homepage.
20269 papers
- The IEEE/ACM International Symposium on Microarchitecture (MICRO '26)ATLAS: Pathfinding Efficient 3D-DRAM-based LLM Inference Accelerator Design via Silicon-Proven Full-Stack Simulation
- Advances in Neural Information Processing Systems (NeurIPS '26)Atomic Trajectory Modeling with State Space Models for Biomolecular Dynamics
- The USENIX Symposium on Operating Systems Design and Implementation (OSDI '26)DynaRL: Flexible and Dynamic Scheduling of Large-scale Reinforcement Learning Training
- ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming (PPoPP '26)MetaAttention: A Unified and Performant Attention Framework Across Hardware Backends
- International Conference on Learning Representations (ICLR '26)Property-Driven Protein Inverse Folding with Multi-Objective Preference Alignment
- The USENIX Symposium on Operating Systems Design and Implementation (OSDI '26)RLux: Flexible and Efficient Large-scale Reinforcement Learning via Macro-to-Micro Flow Transformation
- The International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR '26)TAR:Generative Auto-Bidding and Budget Pacing via Multi-Scale Trajectory Modeling
- International Conference on Learning Representations (ICLR '26) , , OralTileLang: Bridge Programmability and Performance in Modern Neural Kernels
- International Conference on Learning Representations (ICLR '26)Towards All-Atom Foundation Models for Biomolecular Binding Affinity Prediction
20254 papers
- ACM Computing SurveysA Survey on Employing Large Language Models for Text-to-SQL Tasks
- The VLDB Journal (Special Issue on Best Papers of VLDB )Efficient and Scalable Huge Embedding Model Training via Distributed Cache Management
- The European Conference on Computer Systems (EuroSys '25)NeuStream: Bridging Deep Learning Serving and Stream Processing
- The USENIX Symposium on Operating Systems Design and Implementation (OSDI '25)PipeThreader: Software-Defined Pipelining for Efficient DNN Execution
20243 papers
- The Design Automation Conference (DAC '24)Graph Neural Networks Automated Design and Deployment on Device-Edge Co-Inference Systems
- IEEE International Conference on Data Engineering (ICDE)NC-ALG: Graph-based Active Learning under Noisy Crowd
- The International Joint Conference on Artificial Intelligence (IJCAI '24)X-former Elucidator: Reviving Efficient Attention for Long Context Language Modeling
20237 papers
- ACM SIGMOD International Conference on Management of Data (SIGMOD)GoldMiner: Elastic Scaling of Training Data Pre-Processing Pipelines for Deep Learning
- The APWeb-WAIM International Joint Conference on Web and Big Data (APWeb-WAIM), , Best Paper Runner Up AwardGraph-Enforced Neural Network for Attributed Graph Clustering
- The USENIX Symposium on Operating Systems Design and Implementation (OSDI '23)Grinder: Analysis and Optimization for Dynamic Control Flow in Deep Learning
- ACM SIGMOD International Conference on Management of Data (SIGMOD)Scapin: Scalable Graph Perturbation by Augmented Influence Maximization
- The International Conference on Very Large Data Bases (VLDB)SDPipe: A Semi-Decentralized Framework for Heterogeneity-aware Pipeline-parallel Training
- The European Conference on Computer Systems (EuroSys)SiloD: A Co-design of Caching and Scheduling for Deep Learning Clusters
- The USENIX Symposium on Operating Systems Design and Implementation (OSDI '23)Welder: Scheduling Deep Learning Memory Access via Tile-graph
Where alumni went
Alumni are not listed on the lab homepage.
Apply to PekingFall 2027
Computer Science PhD (international applicants)
- Round
- Main
- Opens
- —
- GRE
- See program page
- English
- See program page
- Fee
- See program page
Not yet confirmed for this intake.
Similar labsnearest by research summary
- USUC Berkeley
Ion Stoica
- Distributed, cloud & edge systems
- USUCLA
Mani Srivastava
- Distributed, cloud & edge systems
- HKCUHK
Guoliang Xing
- Distributed, cloud & edge systems
- HKCUHK
Eric Chi Lik Lo
- Distributed, cloud & edge systems
- CNSJTU
Chengzhang Li
- Distributed, cloud & edge systems
- USMIT
Mohammad Alizadeh
- Distributed, cloud & edge systems
Your notes
Save this lab to keep notes.
Data
Some numbers could not be verified:
- The member list could not be found on the lab site.
- The alumni list could not be found on the lab site.
- Collected
- Verified
- Papers
- The lab homepage
- Members
- Not collected
- Alumni
- Not collected
Tiers are venue classifications, not lab rankings.
Pekingcloses