Further results on pseudorandom binary sequences derived from Fermat-Euler Quotients. - Zhifan Ye; Pinhui Ke; Zhixiong Chen 002 (ICICS, 2015)

Network intrusion classification based on extreme learning machine. - Zhifan Ye; Yuanlong Yu (ICIA, 2015)

Some Notes on Pseudorandom Binary Sequences Derived from Fermat-Euler Quotients. - Zhifan Ye; Pinhui Ke; Shengyuan Zhang; Zuling Chang (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2015)

Zero-Difference Balanced Function Derived from Fermat Quotients and Its Applications. - Zhifan Ye; Pinhui Ke; Shengyuan Zhang; Zuling Chang (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2015)

New Construction of Low-Hit-Zone Frequency Hopping Sequence Sets with Optimal Partial Hamming Correlation. - Zhengqian Li; Pinhui Ke; Zhifan Ye (ICCCS (2), 2017)

A note on a conjecture of new binary cyclotomic sequences of length pn. - Zhifan Ye; Pinhui Ke; Chenhuang Wu (CoRR, 2017)

Autocorrelation of the Modified Binary Two-Prime Sidelnikov Sequence. - Pinhui Ke; Zhifan Ye; Zhengchun Zhou; Jian Shen 001 (Int. J. Found. Comput. Sci., 2017)

An efficient cascaded method for network intrusion detection based on extreme learning machines. - Yuanlong Yu; Zhifan Ye; Xianghan Zheng; Chunming Rong (J. Supercomput., 2018)

A further study of the linear complexity of new binary cyclotomic sequence of length pr. - Zhifan Ye; Pinhui Ke; Chenhuang Wu (Appl. Algebra Eng. Commun. Comput., 2019)

Signal Design with Low/Zero Ambiguity Zone Characteristics for Joint Radar-Communication Systems. - Zhifan Ye; Zhengchun Zhou; Pingzhi Fan; Xianfu Lei; Zilong Liu 001; Xiaohu Tang (ICCC, 2021)

A New Construction of ZCZ Sequence Sets with Inter-Set Zero Cross-Correlation Zone. - Zheng Wang; Ruibin Ren; Zhifan Ye; Yang Yang 005 (IWSDA, 2022)

Losses Can Be Blessings: Routing Self-Supervised Speech Representations Towards Efficient Multilingual and Multitask Speech Processing. - Yonggan Fu; Yang Zhang 001; Kaizhi Qian; Zhifan Ye; Zhongzhi Yu; Cheng-I Jeff Lai; Celine Lin (NeurIPS, 2022)

New Classes of Asymptotically Optimal Spectrally-Constrained Sequences Derived from Cyclotomy. - Zhifan Ye; Zhengchun Zhou; Yang Yang 005; Tor Helleseth (Adv. Math. Commun., 2022)

Low Ambiguity Zone: Theoretical Bounds and Doppler-Resilient Sequence Design in Integrated Sensing and Communication Systems. - Zhifan Ye; Zhengchun Zhou; Pingzhi Fan; Zilong Liu 001; Xianfu Lei; Xiaohu Tang (IEEE J. Sel. Areas Commun., 2022)

ViTALiTy: Unifying Low-rank and Sparse Approximation for Vision Transformer Acceleration with a Linear Taylor Attention. - Jyotikrishna Dass; Shang Wu 003; Huihong Shi; Chaojian Li; Zhifan Ye; Zhongfeng Wang 001; Yingyan Lin (HPCA, 2023)

GPT4AIGChip: Towards Next-Generation AI Accelerator Design Automation via Large Language Models. - Yonggan Fu; Yongan Zhang; Zhongzhi Yu; Sixu Li; Zhifan Ye; Chaojian Li; Cheng Wan 005; Yingyan Celine Lin (ICCAD, 2023)

Gen-NeRF: Efficient and Generalizable Neural Radiance Fields via Algorithm-Hardware Co-Design. - Yonggan Fu; Zhifan Ye; Jiayi Yuan 001; Shunyao Zhang; Sixu Li; Haoran You; Yingyan Lin (ISCA, 2023)

New Spectrally Constrained Sequence Sets With Optimal Periodic Cross-Correlation. - Zhifan Ye; Zhengchun Zhou; Zi Long Liu 001; Xiaohu Tang; Pingzhi Fan (IEEE Trans. Inf. Theory, 2023)

SASA: A Scalable and Automatic Stencil Acceleration Framework for Optimized Hybrid Spatial and Temporal Parallelism on HBM-based FPGAs. - Xingyu Tian; Zhifan Ye; Alec Lu; Licheng Guo; Yuze Chi; Zhenman Fang (ACM Trans. Reconfigurable Technol. Syst., 2023)

Omni-Recon: Harnessing Image-Based Rendering for General-Purpose Neural Radiance Fields. - Yonggan Fu; Huaizhi Qu; Zhifan Ye; Chaojian Li; Kevin Zhao; Yingyan Lin (ECCV (16), 2024)

Enhancing Doppler Resilience for Integrated Sensing and Communication Systems through Low Ambiguity Zone Complementary Sequences. - Xinyi Yuan; Zhifan Ye; Liuguo Yin (ICCT, 2024)

Fusion-3D: Integrated Acceleration for Instant 3D Reconstruction and Real-Time Rendering. - Sixu Li; Yang Zhao 013; Chaojian Li; Bowei Guo; Jingqun Zhang; Wenbo Zhu; Zhifan Ye; Cheng Wan 005; Yingyan Celine Lin (MICRO, 2024)

3D Gaussian Rendering Can Be Sparser: Efficient Rendering via Learned Fragment Pruning. - Zhifan Ye; Chenxi Wan; Chaojian Li; Jihoon Hong; Sixu Li; Leshu Li; Yongan Zhang; Yingyan (Celine) Lin (NeurIPS, 2024)

Omni-Recon: Towards General-Purpose Neural Radiance Fields for Versatile 3D Applications. - Yonggan Fu; Huaizhi Qu; Zhifan Ye; Chaojian Li; Kevin Zhao; Yingyan Lin (CoRR, 2024)

New construction of optimal ZCZ sequence sets with inter-set zero cross-correlation zone. - Zheng Wang; Zhifan Ye; Chunming Tang; Yang Yang 005 (Cryptogr. Commun., 2024)

Gaussian Blending Unit: An Edge GPU Plug-in for Real-Time Gaussian-Based Rendering in AR/VR. - Zhifan Ye; Yonggan Fu; Jingqun Zhang; Leshu Li; Yongan Zhang; Sixu Li; Cheng Wan 005; Chenxi Wan; Chaojian Li; Sreemanth Prathipati; Yingyan Celine Lin (HPCA, 2025)

LongMamba: Enhancing Mamba's Long-Context Capabilities via Training-Free Receptive Field Enlargement. - Zhifan Ye; Kejing Xia; Yonggan Fu; Xin Dong 009; Jihoon Hong; Xiangchi Yuan; Shizhe Diao; Jan Kautz; Pavlo Molchanov 001; Yingyan Celine Lin (ICLR, 2025)

Scaling Laws of Graph Neural Networks for Atomistic Materials Modeling. - Chaojian Li; Zhifan Ye; Massimiliano Lupo Pasini; Jong Youl Choi; Cheng Wan 005; Yingyan Celine Lin; Prasanna Balaprakash (CoRR, 2025)