Exploiting Dynamic Parallelism to Efficiently Support Irregular Nested Loops on GPUs. - Da Li 002; Hancheng Wu; Michela Becchi (COSMIC@CGO, 2015)

Nested Parallelism on GPU: Exploring Parallelization Templates for Irregular Loops and Recursive Computations. - Da Li 002; Hancheng Wu; Michela Becchi (ICPP, 2015)

Compiler-Assisted Workload Consolidation for Efficient Dynamic Parallelism on GPU. - Hancheng Wu; Da Li 002; Michela Becchi (IPDPS, 2016)

An Analytical Study of Recursive Tree Traversal Patterns on Multi- and Many-Core Platforms. - Hancheng Wu; Michela Becchi (ICPADS, 2017)

Compiling SIMT Programs on Multi- and Many-Core Processors with Wide Vector Units: A Case Study with CUDA. - Hancheng Wu; John Ravi; Michela Becchi (HiPC, 2018)

A Compiler Framework for Fixed-Topology Non-Deterministic Finite Automata on SIMD Platforms. - Marziyeh Nourian; Hancheng Wu; Michela Becchi (ICPADS, 2018)

Multimodal Surface Material Classification Based on Ensemble Learning with Optimized Features. - Xiang Liu; Hancheng Wu; Senlin Fang; Zhengkun Yi; Xinyu Wu 001 (HealthCom, 2020)

Evaluating Thread Coarsening and Low-cost Synchronization on Intel Xeon Phi. - Hancheng Wu; Michela Becchi (IPDPS, 2020)

TactCapsNet: Tactile Capsule Network for Object Hardness Recognition. - Senlin Fang; Tingting Mi; Zhenning Zhou; Chaoxiang Ye; Chengliang Liu 004; Hancheng Wu; Zhengkun Yi; Xinyu Wu 001 (RCAR, 2021)

Accelerating Random Forest Classification on GPU and FPGA. - Milan Shah; Reece Neff; Hancheng Wu; Marco Minutoli; Antonino Tumeo; Michela Becchi (ICPP, 2022)