CV

Education

• B.S. in computer science and technology, Tianjin University, 2018~2022
• Ph.D in computer science and technology, Shanghai Jiao Tong University, 2022~2027 (expected)

Research experience

• 03/2021-07/2021: Guest Intern
  • Laboratory for Quantum Computation and Theoretical Computer Science, Institute of Computing Technology, Chinese Academy of Sciences
  • Duties included: Realization of quantum arithmetic logic circuit
  • Supervisor: Professor Jialin Zhang
• 05/2019-12/2019: Research Assistant
  • Bioinformatics Team, College of Intelligence and Computing, Tianjin University
  • Research on: Bioinformatics, including GO ontology and enrichment analysis
  • Supervisor: Professor Pufeng Du

Publications

Fangxin Liu, Ning Yang, Haomin Li, Zongwu Wang, Zhuoran Song, Songwen Pei, Li Jiang, “SPARK: Scalable and Precision-Aware Acceleration of Neural Networks via Efficient Encoding” to appear in 30th International Symposium on High-Performance Computer Architecture ( HPCA'24 ).

Fangxin Liu=, Haomin Li=, Ning Yang, Yichi Chen, Zongwu Wang, Tao Yang, Li Jiang, “PAAP-HD: PIM-Assisted Approximation for Efficient Hyper-Dimensional Computing.” to appear in 29th Asia and South Pacific Design Automation Conference ( ASPDAC'23 ).

Fangxin Liu=, Haomin Li=, Ning Yang, Zongwu Wang, Tao Yang, Li Jiang, “TEAS: Exploiting Spiking Activity for Temporal-wise Adaptive Spiking Neural Networks.” to appear in 29th Asia and South Pacific Design Automation Conference ( ASPDAC'23 ).

Shiyuan Huang=, Fangxin Liu=, Tian Li, Zongwu Wang, Haomin Li, Li Jiang, “TSTC: Enabling Efficient Training via Structured Sparse Tensor Compilation.” to appear in 29th Asia and South Pacific Design Automation Conference ( ASPDAC'23 ).

Haomin Li=, Fangxin Liu=, Yichi Chen, Li Jiang, “HyperFeel: An Efficient Federated Learning Framework Using Hyperdimensional Computing.” to appear in 29th Asia and South Pacific Design Automation Conference ( ASPDAC'23 ).

Haomin Li=, Fangxin Liu=, Yichi Li, Li Jiang, “HyperNode: An Efficient Node Classification Framework Using HyperDimensional Computing.” to appear in 42th IEEE/ACM International Conference on Computer-Aided Design ( ICCAD'23 ).

Fangxin Liu=, Haomin Li=, Yongbiao Chen, Tao Yang, Li Jiang, “HyperAttack: An Efficient Attack Framework for HyperDimensional Computing.” to appear in 60th Design Automation Conference ( DAC'23 ).

Fangxin Liu, Haomin Li, Xiaokang Yang,Li Jiang; “L3E-HD: A Framework Enabling Efficient Ensemble in High-Dimensional Space for Language Tasks.”, to appear in 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR'23 ‘22) code link

Qiao-Ying Ji, Xiu-Jun Gong, Haomin Li, Pu-Feng Du; “DeepSE: Detecting super-enhancers among typical enhancers using only sequence feature embeddings”, Genomics, 113(6): 4052-4060.