Di He

Publication Activity (10 Years)

Years Active: 2023-2024
Publications (10 Years): 19

Top Topics

Differential Operators

Spiking Neural Networks

Autonomy Oriented Computing

Top Venues

Publications

Mingqing Xiao, Yixin Zhu, Di He, Zhouchen Lin
Temporal Spiking Neural Networks with Synaptic Delay for Graph Reasoning. CoRR (2024)
Bohang Zhang, Jingchu Gai, Yiheng Du, Qiwei Ye, Di He, Liwei Wang
Beyond Weisfeiler-Lehman: A Quantitative Framework for GNN Expressiveness. CoRR (2024)
Weihao Jiang, Guodong Liu, Di He, Kun He
Boosting Meta-Training with Base Class Information for Few-Shot Learning. CoRR (2024)
Mingqing Xiao, Qingyan Meng, Zongpeng Zhang, Di He, Zhouchen Lin
Online Pseudo-Zeroth-Order Training of Neuromorphic Spiking Neural Networks. CoRR (2024)
Tianlang Chen, Shengjie Luo, Di He, Shuxin Zheng, Tie-Yan Liu, Liwei Wang
GeoMFormer: A General Architecture for Geometric Molecular Representation Learning. CoRR (2024)
Kai Yang, Jan Ackermann, Zhenyu He, Guhao Feng, Bohang Zhang, Yunzhen Feng, Qiwei Ye, Di He, Liwei Wang
Do Efficient Transformers Really Save Computation? CoRR (2024)
Krzysztof Choromanski, Shanda Li, Valerii Likhosherstov, Kumar Avinava Dubey, Shengjie Luo, Di He, Yiming Yang, Tamás Sarlós, Thomas Weingarten, Adrian Weller
Learning a Fourier Transform for Linear Relative Positional Encodings in Transformers. AISTATS (2024)
Ruichen Li, Chuwei Wang, Haotian Ye, Di He, Liwei Wang
DOF: Accelerating High-order Differential Operators with Forward Propagation. CoRR (2024)
Mingqing Xiao, Qingyan Meng, Zongpeng Zhang, Di He, Zhouchen Lin
Hebbian Learning based Orthogonal Projection for Continual Learning of Spiking Neural Networks. ICLR (2024)
Han Zhong, Guhao Feng, Wei Xiong, Li Zhao, Di He, Jiang Bian, Liwei Wang
DPO Meets PPO: Reinforced Token Optimization for RLHF. CoRR (2024)
Zhenyu He, Guhao Feng, Shengjie Luo, Kai Yang, Di He, Jingjing Xu, Zhi Zhang, Hongxia Yang, Liwei Wang
Two Stones Hit One Bird: Bilevel Positional Encoding for Better Length Extrapolation. CoRR (2024)
Zhenyu He, Jun Zhang, Shengjie Luo, Jingjing Xu, Zhi Zhang, Di He
Let the Code LLM Edit Itself When You Edit the Code. CoRR (2024)
Bohang Zhang, Jingchu Gai, Yiheng Du, Qiwei Ye, Di He, Liwei Wang
Beyond Weisfeiler-Lehman: A Quantitative Framework for GNN Expressiveness. ICLR (2024)
Shuqi Lu, Lin Yao, Xi Chen, Hang Zheng, Di He, Guolin Ke
3D Molecular Generation via Virtual Dynamics. Trans. Mach. Learn. Res. 2024 (2024)
Zhenyu He, Zexuan Zhong, Tianle Cai, Jason D. Lee, Di He
REST: Retrieval-Based Speculative Decoding. NAACL-HLT (2024)
Mingqing Xiao, Qingyan Meng, Zongpeng Zhang, Di He, Zhouchen Lin
Hebbian Learning based Orthogonal Projection for Continual Learning of Spiking Neural Networks. CoRR (2024)
Zhenyu He, Zexuan Zhong, Tianle Cai, Jason D. Lee, Di He
REST: Retrieval-Based Speculative Decoding. CoRR (2023)
Pengyun Yue, Hanzhen Zhao, Cong Fang, Di He, Liwei Wang, Zhouchen Lin, Song-chun Zhu
CORE: Common Random Reconstruction for Distributed Optimization with Provable Low Communication Complexity. CoRR (2023)
Guhao Feng, Bohang Zhang, Yuntian Gu, Haotian Ye, Di He, Liwei Wang
Towards Revealing the Mystery behind Chain of Thought: A Theoretical Perspective. NeurIPS (2023)