Deep Latent Emotion Network for Multi-Task Learning. - Huangbin Zhang; Chong Zhao; Yu Zhang; Danlei Wang; Haichao Yang (CoRR, 2021)

PatterNet: explore and exploit filter patterns for efficient deep neural networks. - Behnam Khaleghi; Uday Mallappa; Duygu Yaldiz; Haichao Yang; Monil Shah; Jaeyoung Kang 001; Tajana Rosing (DAC, 2022)

TermiNETor: Early Convolution Termination for Efficient Deep Neural Networks. - Uday Mallappa; Pranav Gangwar; Behnam Khaleghi; Haichao Yang; Tajana Rosing (ICCD, 2022)

A Bi-Temporal-Feature-Difference- and Object-Based Method for Mapping Rice-Crayfish Fields in Sihong, China. - Siqi Ma; Danyang Wang; Haichao Yang; Huagang Hou; Cheng Li; Zhaofu Li (Remote. Sens., 2023)

Identification of Gas-Solid Two-Phase Flow Regimes Based on Electrostatic Sensor and CB-ResNext Network. - Jiayu Lu; Hongli Hu; Herui Cai; Haichao Yang; Haodong Zhang; Haijian Dong (I2MTC, 2024)

FSL-HDnn: A 5.7 TOPS/W End-to-end Few-shot Learning Classifier Accelerator with Feature Extraction and Hyperdimensional Computing. - Haichao Yang; Chang Eun Song; Weihong Xu; Behnam Khaleghi; Uday Mallappa; Monil Shah; Keming Fan; Mingu Kang; Tajana Rosing (CoRR, 2024)

HPVM-HDC: A Heterogeneous Programming System for Hyperdimensional Computing. - Russel Arbore; Xavier Routh; Abdul Rafae Noor; Akash Kothari; Haichao Yang; Weihong Xu; Sumukh Pinge; Minxuan Zhou; Vikram S. Adve; Tajana Rosing (CoRR, 2024)

Integrating Multidimensional Feature Indices and Phenological Windows for Mapping Cropping Patterns in Complex Agricultural Landscape Regions. - Haichao Yang; Danyang Wang; Jingda Xin; Hao Qian; Cheng Li; Yunqi Wang; Yayi Tan; Jingyu Dai; Haiyan Zhao; Zhaofu Li (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024)

HPVM-HDC: A Heterogeneous Programming System for Accelerating Hyperdimensional Computing. - Russel Arbore; Xavier Routh; Abdul Rafae Noor; Akash Kothari; Haichao Yang; Weihong Xu; Sumukh Pinge; Minxuan Zhou; Tajana Rosing; Vikram S. Adve (ISCA, 2025)

Clo-HDnn: A 4.66 TFLOPS/W and 3.78 TOPS/W Continual On-Device Learning Accelerator with Energy-efficient Hyperdimensional Computing via Progressive Search. - Chang Eun Song; Weihong Xu; Keming Fan; Soumil Jain; Gopabandhu Hota; Haichao Yang; Leo Liu; Kerem Akarvardar; Meng-Fan Chang; Carlos H. Diaz; Gert Cauwenberghs; Tajana Rosing; et al. (CoRR, 2025)