CY
Chengting Yu
cs.LGcs.CVcs.AIq-bio.NCbackpropagation (BP)cs.ARcs.NEneuromorphic recognitionspiking neural network (SNN)stat.ML
On Valency
published · living versionsW_4y6r4vd4·v1 · currentpublished
HiLo-RD: Cross-Budget Self-Distillation for Masked Diffusion Language Models
with Xiang Li, Jungang Li, Yilun Zheng, Junzhuo Li +3
1 version
Preprints & journals
18 papers in the corpus · 2022–2026STISA: A 0.16 GOPS/W/PE Single-Shot Inference FPGA-based SNN Accelerator with Algorithm and Hardware Co-Design2610.19973v1 · Kainan Wang, Chengyi Yang, Lei Liu et al.2026 · 1 citationIEEE Transactions on Circuits and Systems I: Regular Papers, vol. 73, no. 5, pp. 3438-3451, May 2026
HappyWorld-Bench2609.24308v1 · Zhiqi Bai, Junai Cai, Yixin Chen et al.2026 · 0 citationsarXiv
YOCO++: Enhancing YOCO with KV Residual Connections for Efficient LLM Inference2604.13556v1 · You Wu, Ziheng Chen, Yizhen Zhang et al.2026 · 0 citationsarXiv
SpiralFormer: Looped Transformers Can Learn Hierarchical Dependencies via Multi-Resolution Recursion2602.11698v2 · Chengting Yu, Xiaobo Shu, Yadao Wang et al.2026 · 0 citationsarXiv
Expert Divergence Learning for MoE-based Language Models2603.00054v1 · Jiaang Li, Haibin Chen, Langming Liu et al.2026 · 0 citationsarXiv
MeSH: Memory-as-State-Highways for Recursive Transformers2510.07739v2 · Chengting Yu, Xiaobo Shu, Yadao Wang et al.2025 · 0 citationsarXiv
Enhanced Self-Distillation Framework for Efficient Spiking Neural Network Training2510.06254v1 · Xiaochen Zhao, Chengting Yu, Kairong Yu et al.2025 · 0 citationsarXiv
STI-SNN: A 0.14 GOPS/W/PE Single-Timestep Inference FPGA-based SNN Accelerator with Algorithm and Hardware Co-Design2506.08842v1 · Kainan Wang, Chengyi Yang, Chengting Yu et al.2025 · 0 citationsarXiv
Behavioral Time Scale Synaptic Plasticity (BTSP) endows binding of distributed representations with flexible retrieval options10.1101/2025.05.15.654220v2 · Yu, C., Yang, Y., Wu, Y. et al.2025 · 1 citationbioRxiv
Efficient ANN-Guided Distillation: Aligning Rate-based Features of Spiking Neural Networks through Hybrid Block-wise Replacement2503.16572v1 · Shu Yang, Chengting Yu, Lei Liu et al.2025 · 4 citationsarXiv
Temporal Separation with Entropy Regularization for Knowledge Distillation in Spiking Neural Networks2503.03144v2 · Kairong Yu, Chengting Yu, Tianqing Zhang et al.2025 · 7 citationsarXiv
Efficient Logit-based Knowledge Distillation of Deep Spiking Neural Networks for Full-Range Timestep Deployment2501.15925v2 · Chengting Yu, Xiaochen Zhao, Lei Liu et al.2025 · 0 citationsarXiv
Improving Quantization-aware Training of Low-Precision Network via Block Replacement on Full-Precision Counterpart2412.15846v1 · Chengting Yu, Shu Yang, Fengzhao Zhang et al.2024 · 3 citationsarXiv
Decoupling Dark Knowledge via Block-wise Logit Distillation for Feature-level Alignment2411.01547v2 · Chengting Yu, Fengzhao Zhang, Ruizhe Chen et al.2024 · 6 citationsarXiv
SDiT: Spiking Diffusion Model with Transformer2402.11588v2 · Shu Yang, Hanzhi Ma, Chengting Yu et al.2024 · 1 citationarXiv
Go beyond End-to-End Training: Boosting Greedy Local Learning with Context Supply2312.07636v2 · Chengting Yu, Fengzhao Zhang, Hanzhi Ma et al.2023 · 1 citationarXiv
STSC-SNN: Spatio-Temporal Synaptic Connection with temporal convolution and attention for spiking neural networks.36620452 · Yu, Chengting, Gu, Zheming, Li, Da et al.2024 · 53 citationsFrontiers in neuroscience. 2022;16:1079357
MAP-SNN: Mapping spike activities with multiplicity, adaptability, and plasticity into bio-plausible spiking neural networks.36203801 · Yu, Chengting, Du, Yangkai, Chen, Mufeng et al.2022 · 5 citationsFrontiers in neuroscience. 2022;16:945037
Career total: 28 works. 18 are in this corpus.
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