Selected Publications

Here is the full publication list.

• Quantum Sampling Architecture for Protein Structure Reconstruction on Utility-Scale Hardware.
  Yuqi Zhang, Bo Fang, Yuxin Yang, Feixiong Cheng, Jieyang Chen, Sherry Fang, Siwei Chen, Junhan Zhao, Qiang Guan
  [SC ‘26], International Conference for High Performance Computing, Networking, Storage, and Analysis (SC)
  

• VeriHGN: Heterogeneous Graph-based Congestion Prediction for Chip Layout Verification.
  Runbang Hu, Bo Fang, Bingzhe Li, Yuede Ji
  [KDD ‘26], The 2026 ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (Oral Presentation)
  

• Demystifying the Resilience of Large Language Model Inference: An End-to-End Perspective.
  Yu Sun, Zachary Coalson, Shiyang Chen, Hang Liu, Zhao Zhang, Sanghyun Hong, Bo Fang, Lishan Yang
  [SC ‘25], International Conference for High Performance Computing, Networking, Storage, and Analysis (SC)
  

• QDockBench: A Protein-Ligand Docking Benchmark on Utility-Level Quantum Computers.
  Yuqi Zhang, Yuxin Yang, Cheng-Chang Lu, Yao Wan, Weiwen Jiang, Feixiong Cheng, Bo Fang, Qiang Guan
  [SC ‘25], International Conference for High Performance Computing, Networking, Storage, and Analysis (SC)
  

• Can Large Language Models Understand Intermediate Representations?
  Hailong Jiang, Jianfeng Zhu, Yao Wan, Bo Fang, Hongyu Zhang, Ruoming Jin, Qiang Guan
  [ICML ‘25], Forty-second International Conference on Machine Learning
  

• BMQSim: Overcoming Memory Constraints in Quantum Circuit Simulation with a High-Fidelity Compression Framework.
  Boyuan Zhang, Bo Fang, Fanjiang Ye, Luanzheng Guo, Fengguang Song, Nathan Tallent, Dingwen Tao
  [ICS ‘25], ACM International Conference on Supercomputing (Best Paper Runner-up)
  

• FT2: First-Token-Inspired Online Fault Tolerance on Critical Layers for Generative Large Language Models.
  Yu Sun, Zhu Zhu, Cherish Mulpuru, Roberto Gioiosa, Zhao Zhang, Bo Fang, Lishan Yang
  [HPDC ‘25], ACM International Symposium on High-Performance Parallel and Distributed Computing
  

• ATTNChecker: Highly-Optimized Fault Tolerant Attention for Large Language Model Training.
  Yuhang Liang, Bo Fang, Xinyi Li, Jie Ren, Ang Li, Jieyang Chen
  [PPoPP ‘25], 30th ACM SIGPLAN Annual Symposium on Principles and Practice of Parallel Programming
  

• Be Aware of Metadata Corruption in Parallel File System: It Can Be Silent and Catastrophic.
  Saisha Kamat, Mai Zheng, Bo Fang, Dong Dai
  [IPDPS ‘25], 39th IEEE International Parallel & Distributed Processing Symposium
  

• Red-QAOA: Efficient Variational Optimization through Circuit Reduction.
  Meng Wang, Bo Fang, Ang Li, and Prashant J. Nair
  [ASPLOS ‘24], 29th ACM International Conference on Architectural Support for Programming Languages and Operating Systems
  

• MPGemmFI: A Fault Injection Technique for Mixed Precision GEMM in ML Applications. [PDF]
  Bo Fang, Xinyi Li, Harvey Dam, Cheng Tan, Siva Kumar Sastry Hari, Timothy Tsai, Ignacio Laguna, Dingwen Tao, Ganesh Gopalakrishnan, Prashant Nair, Kevin Barker, Ang Li
  [Cluster ‘24], IEEE International Conference on Cluster Computing
  

• Efficient Hierarchical State Vector Simulation of Quantum Circuits via Acyclic Graph Partitioning.
  Bo Fang, M. Yusuf Ozkaya, Ang Li, Umit V. Catalyurek, Sriram Krishnamoorthy
  [Cluster ‘22], IEEE International Conference on Cluster Computing (Best Paper Award)
  

• SV-Sim: Scalable PGAS-based State Vector Simulation of Quantum Circuits.
  Ang Li, Bo Fang, Christopher Granade, Guen Prawiroatmodjo, Bettina Heim, Martin Roetteler, Sriram Krishnamoorthy
  [SC ‘21], International Conference for High Performance Computing, Networking, Storage, and Analysis (SC)
  

• Characterizing Impacts of Storage Faults on HPC Applications: A Methodology and Insights.
  Bo Fang, Daoce Wang, Sian Jin, Quincey Koziol, Zhao Zhang, Qiang Guan, Suren Byna, Sriram Krishnamoorthy, Dingwen Tao
  [Cluster ‘21], IEEE International Conference on Cluster Computing
  Acceptance rate: 29%

• BonVoision: Leveraging Spatial Data Smoothness for Recovery from Memory Soft Errors.
  Bo Fang, Hassan Halawa, Karthik Pattabiraman, Matei Ripeanu, Sriram Krishnamoorthy
  [ICS ‘19], ACM International Conference on Supercomputing
  Acceptance rate: 23%

• LetGo: A Lightweight Continuous Framework for HPC Applications upon Failures.
  Bo Fang, Qiang Guan, Nathan DeBardeleben, Karthik Pattabiraman, Matei Ripeanu
  [HPDC ‘17], ACM International Symposium on High-Performance Parallel and Distributed Computing
  Acceptance rate: 18%

• ePVF: An Enhanced Program Vulnerability Factor Methodology for Cross-Layer Resilience Analysis.
  Bo Fang, Qining Lu, Karthik Pattabiraman, Matei Ripeanu, Sudhanva Gurumurthi
  [DSN ‘16], IEEE/IFIP International Conference on Dependable Systems and Networks
  Acceptance rate: 21%

• GPU-Qin: A Methodology for Evaluating the Error Resilience of GPGPU Applications.
  Bo Fang, Karthik Pattabiraman, Matei Ripeanu, Sudhanva Gurumurthi
  [ISPASS ‘14], IEEE International Symposium on Performance Analysis of Systems and Software
  Acceptance rate: 31%

• A Systematic Methodology for Evaluating the Error Resilience of GPGPU Applications.
  Bo Fang, Karthik Pattabiraman, Matei Ripeanu, Sudhanva Gurumurthi
  [TPDS], IEEE Transactions on Parallel and Distributed Systems