Bo Fang
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
55
Venues
28
Active years
2005–2025
Best venue rank
A*
Where they publish
- ASC8 papers
- ADSN7 papers
- NationalQCE4 papers
- AHPDC3 papers
- AICS3 papers
- CCLUSTER3 papers
- A*CVPR2 papers
- BCCGRID2 papers
- MulticonferenceICASSP2 papers
- CIPCCC2 papers
- AISSRE2 papers
- AECAI1 paper
- CICCD1 paper
- A*ICML1 paper
- BPPoPP1 paper
- A*ASPLOS1 paper
- AICWS1 paper
- BSRDS1 paper
- A*ICCV1 paper
- BICPADS1 paper
- CIGARSS1 paper
- CPRDC1 paper
- CICANN1 paper
- ADATE1 paper
- BISPASS1 paper
- NationalICNC1 paper
- BIWCMC1 paper
- CISCAS1 paper
Papers
55 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | CVPR | DistinctAD: Distinctive Audio Description Generation in Contexts. | Bo Fang, Wenhao Wu, Qiangqiang Wu, Yuxin Song, Antoni B. Chan |
| 2025 | ECAI | ScSAM: Debiasing Morphology and Distributional Variability in Subcellular Semantic Segmentation. | Bo Fang, Jianan Fan, Dongnan Liu, Hang Chang, Gerald J. Shami, Filip Braet, Weidong Cai |
| 2025 | HPDC | 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 |
| 2025 | ICCD | UQ-VarQA: Benchmarking and Characterizing NISQ Computers Through Uncertainty Quantification of Variational Quantum Algorithms. | Priyabrata Senapati, Shengye Zhu, Bo Peng, Bo Fang, Qiang Guan |
| 2025 | ICML | Can Large Language Models Understand Intermediate Representations in Compilers? | Hailong Jiang, Jianfeng Zhu, Yao Wan, Bo Fang, Hongyu Zhang, Ruoming Jin, Qiang Guan |
| 2025 | ICS | 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 R. Tallent, Dingwen Tao |
| 2025 | PPoPP | ATTNChecker: Highly-Optimized Fault Tolerant Attention for Large Language Model Training. | Yuhang Liang, Xinyi Li, Jie Ren, Ang Li, Bo Fang, Jieyang Chen |
| 2025 | SC | 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 |
| 2025 | SC | QDockBank: A dataset for Ligand Docking on Protein Fragments Predicted on Utility-Level Quantum Computers. | Yuqi Zhang, Yuxin Yang, Cheng-Chang Lu, Weiwen Jiang, Feixiong Cheng, Bo Fang, Qiang Guan |
| 2024 | ASPLOS | Red-QAOA: Efficient Variational Optimization through Circuit Reduction. | Meng Wang, Bo Fang, Ang Li, Prashant J. Nair |
| 2024 | CCGRID | FTTN: Feature-Targeted Testing for Numerical Properties of NVIDIA & AMD Matrix Accelerators. | Xinyi Li, Ang Li, Bo Fang, Katarzyna Swirydowicz, Ignacio Laguna, Ganesh Gopalakrishnan |
| 2024 | CCGRID | Discovery of Floating-Point Differences Between NVIDIA and AMD GPUs. | Xinyi Li, Ang Li, Bo Fang, Katarzyna Swirydowicz, Ignacio Laguna, Ganesh Gopalakrishnan |
| 2024 | CLUSTER | Understanding Mixed Precision GEMM with MPGemmFI: Insights into Fault Resilience. | Bo Fang, Xinyi Li, Harvey Dam, Cheng Tan, Siva Kumar Sastry Hari, Timothy Tsai, Ignacio Laguna, Dingwen Tao, Ganesh Gopalakrishnan, Prashant J. Nair, Kevin J. Barker, Ang Li |
| 2024 | DSN | Message from the DSML Workshop Chairs; DSN-W 2024. | Sanghyun Hong, Bo Fang |
| 2024 | ICWS | Privacy-Preserving Artificial Intelligence on Edge Devices: A Homomorphic Encryption Approach. | Muhammad Jahanzeb Khan, Bo Fang, Gaetano Cimino, Stefano Cirillo, Lei Yang, Dongfang Zhao |
| 2024 | QCE | PQML: Enabling the Predictive Reproducibility on NISQ Machines for Quantum ML Applications. | Priyabrata Senapati, Samuel Yen-Chi Chen, Bo Fang, Tushar M. Athawale, Ang Li, Weiwen Jiang, Cheng Chang Lu, Qiang Guan |
| 2024 | SC | Understanding and Predicting Cross-Application I/O Interference in HPC Storage Systems. | Chris Egersdoerfer, Md. Hasanur Rashid, Dong Dai, Bo Fang, Nathan R. Tallent |
| 2024 | SRDS | HAppA: A Modular Platform for HPC Application Resilience Analysis with LLMs Embedded. | Hailong Jiang, Jianfeng Zhu, Bo Fang, Kevin J. Barker, Chao Chen, Ruoming Jin, Qiang Guan |
| 2023 | CVPR | Cap4Video: What Can Auxiliary Captions Do for Text-Video Retrieval? | Wenhao Wu, Haipeng Luo, Bo Fang, Jingdong Wang, Wanli Ouyang |
| 2023 | HPDC | Design and Evaluation of GPU-FPX: A Low-Overhead tool for Floating-Point Exception Detection in NVIDIA GPUs. | Xinyi Li, Ignacio Laguna, Bo Fang, Katarzyna Swirydowicz, Ang Li, Ganesh Gopalakrishnan |
| 2023 | ICASSP | LABANet: Lead-Assisting Backbone Attention Network for Oral Multi-Pathology Segmentation. | Huabao Chen, Xiaolong Huang, Qiankun Li, Jianqing Wang, Bo Fang, Junxin Chen |
| 2023 | ICCV | UATVR: Uncertainty-Adaptive Text-Video Retrieval. | Bo Fang, Wenhao Wu, Chang Liu, Yu Zhou, Yuxin Song, Weiping Wang, Xiangbo Shu, Xiangyang Ji, Jingdong Wang |
| 2023 | ICPADS | Reputation-Based Streamlet: An Enhanced BFT Consensus Algorithm for Improved Performance and Scalability. | Bo Fang, Dancheng Zhao, Taotao Wang, Hao Wang, Shengli Zhang, Qing Yang |
| 2023 | IGARSS | Hidden Object Detection Based on Probabilistic Fuzzy Fusion and Fisher Vectors in Passive Millimeter-Wave Images. | Bo Fang, Dong Zhu, Yayun Cheng, Fei Hu |
| 2023 | PRDC | Visilience: An Interactive Visualization Framework for Resilience Analysis using Control-Flow Graph. | Hailong Jiang, Shaolun Ruan, Bo Fang, Yong Wang, Qiang Guan |
| 2023 | QCE | Towards Redefining the Reproducibility in Quantum Computing: A Data Analysis Approach on NISQ Devices. | Priyabrata Senapati, Zhepeng Wang, Weiwen Jiang, Travis S. Humble, Bo Fang, Shuai Xu, Qiang Guan |
| 2023 | SC | AMRIC: A Novel In Situ Lossy Compression Framework for Efficient I/O in Adaptive Mesh Refinement Applications. | Daoce Wang, Jesus Pulido, Pascal Grosset, Jiannan Tian, Sian Jin, Houjun Tang, Jean M. Sexton, Sheng Di, Kai Zhao, Bo Fang, Zarija Lukic, Franck Cappello, James P. Ahrens, Dingwen Tao |
| 2023 | SC | MEMQSim: Highly Memory-Efficient and Modularized Quantum State-Vector Simulation. | Boyuan Zhang, Bo Fang, Qiang Guan, Ang Li, Dingwen Tao |
| 2022 | CLUSTER | Efficient Hierarchical State Vector Simulation of Quantum Circuits via Acyclic Graph Partitioning. | Bo Fang, M. Yusuf zkaya, Ang Li, mit V. atalyrek, Sriram Krishnamoorthy |
| 2022 | ICANN | Video Motion Perception for Self-supervised Representation Learning. | Wei Li, Dezhao Luo, Bo Fang, Xiaoni Li, Yu Zhou, Weiping Wang |
| 2022 | ICASSP | Combining Multiple Style Transfer Networks and Transfer Learning For LGE-CMR Segmentation. | Bo Fang, Junxin Chen, Wei Wang, Yicong Zhou |
| 2022 | IPCCC | MARS: Malleable Actor-Critic Reinforcement Learning Scheduler. | Betis Baheri, Jacob Tronge, Bo Fang, Ang Li, Vipin Chaudhary, Qiang Guan |
| 2022 | ICS | ASAP: automatic synthesis of area-efficient and precision-aware CGRAs. | Cheng Tan, Thierry Tambe, Jeff Jun Zhang, Bo Fang, Tong Geng, Gu-Yeon Wei, David Brooks, Antonino Tumeo, Ganesh Gopalakrishnan, Ang Li |
| 2022 | QCE | Pinpointing the System Reliability Degradation in NISQ Machines. | Betis Baheri, Zixuan Xu, Vipin Chaudhary, Ying Mao, Bo Fang, Shuai Xu, Qiang Guan |
| 2021 | CLUSTER | 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 |
| 2021 | DSN | TQEA: Temporal Quantum Error Analysis. | Betis Baheri, Daniel Chen, Bo Fang, Samuel A. Stein, Vipin Chaudhary, Ying Mao, Shuai Xu, Ang Li, Qiang Guan |
| 2021 | IPCCC | A Hybrid System for Learning Classical Data in Quantum States. | Samuel A. Stein, Ryan L'Abbate, Wenrui Mu, Yue Liu, Betis Baheri, Ying Mao, Qiang Guan, Ang Li, Bo Fang |
| 2021 | QCE | QuGAN: A Quantum State Fidelity based Generative Adversarial Network. | Samuel A. Stein, Betis Baheri, Daniel Chen, Ying Mao, Qiang Guan, Ang Li, Bo Fang, Shuai Xu |
| 2021 | SC | SV-sim: scalable PGAS-based state vector simulation of quantum circuits. | Ang Li, Bo Fang, Christopher E. Granade, Guen Prawiroatmodjo, Bettina Heim, Martin Roetteler, Sriram Krishnamoorthy |
| 2020 | DSN | Chaser: An Enhanced Fault Injection Tool for Tracing Soft Errors in MPI Applications. | Qiang Guan, Xunchao Hu, Terence Grove, Bo Fang, Hailong Jiang, Heng Yin, Nathan DeBardeleben |
| 2020 | ISSRE | TensorFI: A Flexible Fault Injection Framework for TensorFlow Applications. | Zitao Chen, Niranjhana Narayanan, Bo Fang, Guanpeng Li, Karthik Pattabiraman, Nathan DeBardeleben |
| 2019 | DSN | Towards Predicting the Impact of Roll-Forward Failure Recovery for HPC Applications. | Bo Fang, Jieyang Chen, Karthik Pattabiraman, Matei Ripeanu, Sriram Krishnamoorthy |
| 2019 | ICS | BonVoision: leveraging spatial data smoothness for recovery from memory soft errors. | Bo Fang, Hassan Halawa, Karthik Pattabiraman, Matei Ripeanu, Sriram Krishnamoorthy |
| 2019 | ISSRE | A Tale of Two Injectors: End-to-End Comparison of IR-Level and Assembly-Level Fault Injection. | Lucas Palazzi, Guanpeng Li, Bo Fang, Karthik Pattabiraman |
| 2017 | HPDC | LetGo: A Lightweight Continuous Framework for HPC Applications Under Failures. | Bo Fang, Qiang Guan, Nathan DeBardeleben, Karthik Pattabiraman, Matei Ripeanu |
| 2016 | DSN | ePVF: An Enhanced Program Vulnerability Factor Methodology for Cross-Layer Resilience Analysis. | Bo Fang, Qining Lu, Karthik Pattabiraman, Matei Ripeanu, Sudhanva Gurumurthi |
| 2016 | DSN | SDC is in the Eye of the Beholder: A Survey and Preliminary Study. | Bo Fang, Panruo Wu, Qiang Guan, Nathan DeBardeleben, Laura Monroe, Sean Blanchard, Zhizong Chen, Karthik Pattabiraman, Matei Ripeanu |
| 2014 | DATE | GPGPUs: How to combine high computational power with high reliability. | Leonardo Arturo Bautista-Gomez, Franck Cappello, Luigi Carro, Nathan DeBardeleben, Bo Fang, Sudhanva Gurumurthi, Karthik Pattabiraman, Paolo Rech, Matteo Sonza Reorda |
| 2014 | DSN | Evaluating the Error Resilience of Parallel Programs. | Bo Fang, Karthik Pattabiraman, Matei Ripeanu, Sudhanva Gurumurthi |
| 2014 | ISPASS | GPU-Qin: A methodology for evaluating the error resilience of GPGPU applications. | Bo Fang, Karthik Pattabiraman, Matei Ripeanu, Sudhanva Gurumurthi |
| 2013 | ICNC | The control principle and simulation of duty cycle perturbation in Photovoltaic systems. | Bo Fang, Lihui Guo, Longyun Kang |
| 2012 | SC | Abstract: Evaluating Error Resiliency of GPGPU Applications. | Bo Fang, Jiesheng Wei, Karthik Pattabiraman, Matei Ripeanu |
| 2012 | SC | Poster: Evaluating Error Resiliency of GPGPU Applications. | Bo Fang, Jiesheng Wei, Karthik Pattabiraman, Matei Ripeanu |
| 2010 | IWCMC | A new model to improve the performance of RRM. | Bo Fang, Sheng Zhou, Jie Yuan, Peng Gao |
| 2005 | ISCAS | Techniques for efficient DCT/IDCT implementation on generic GPU. | Bo Fang, Guobin Shen, Shipeng Li, Huifang Chen |