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Publication search results
found 37 matches
- 2024
- Bohua Huang, Yong Xiao, Jianping Liu, Fan Yang, Huili Gao, Jianguo Song, Jun Zhu, Bohang Yang, Minggui Li:
Distributed collaborative scheduling technology for random access in real-time. RAIRO Oper. Res. 58(2): 1207-1231 (2024) - Henglai Wei, Baichuan Lou, Zezhong Zhang, Bohang Liang, Fei-Yue Wang, Chen Lv:
Autonomous Navigation for eVTOL: Review and Future Perspectives. IEEE Trans. Intell. Veh. 9(2): 4145-4171 (2024) - Chao Chen, Bohang Jiang, Shengli Liu, Chuanhuang Li, Celimuge Wu, Rui Yin:
Efficient Federated Learning in Resource-Constrained Edge Intelligence Networks Using Model Compression. IEEE Trans. Veh. Technol. 73(2): 2643-2655 (2024) - Bohang Chen, Jun Ma, Lingfei Zhang, Zhuang Xiong, Jinyu Fan, Haiming Lan:
An improved weighted KNN fingerprint positioning algorithm. Wirel. Networks 30(6): 6011-6022 (2024) - Bohang Zhang, Jingchu Gai, Yiheng Du, Qiwei Ye, Di He, Liwei Wang:
Beyond Weisfeiler-Lehman: A Quantitative Framework for GNN Expressiveness. ICLR 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? ICML 2024 - Bohang Zhang, Lingxiao Zhao, Haggai Maron:
On the Expressive Power of Spectral Invariant Graph Neural Networks. ICML 2024 - Bohang Zhang, Jingchu Gai, Yiheng Du, Qiwei Ye, Di He, Liwei Wang:
Beyond Weisfeiler-Lehman: A Quantitative Framework for GNN Expressiveness. CoRR abs/2401.08514 (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 abs/2402.13934 (2024) - Xixi Wu, Yifei Shen, Caihua Shan, Kaitao Song, Siwei Wang, Bohang Zhang, Jiarui Feng, Hong Cheng, Wei Chen, Yun Xiong, Dongsheng Li:
Can Graph Learning Improve Task Planning? CoRR abs/2405.19119 (2024) - Bohang Zhang, Lingxiao Zhao, Haggai Maron:
On the Expressive Power of Spectral Invariant Graph Neural Networks. CoRR abs/2406.04336 (2024) - 2023
- Chao Chen, Bohang Jiang, Shengli Liu, Chuanhuang Li, Celimuge Wu, Rui Yin:
Efficient Federated Learning using Random Pruning in Resource-Constrained Edge Intelligence Networks. GLOBECOM 2023: 5244-5249 - Bohang Zhang, Shengjie Luo, Liwei Wang, Di He:
Rethinking the Expressive Power of GNNs via Graph Biconnectivity. ICLR 2023 - Jiaye Teng, Bohang Zhang, Ruichen Li, Haowei He, Yequan Wang, Yan Tian, Yang Yuan:
Finding Generalization Measures by Contrasting Signal and Noise. ICML 2023: 33983-34010 - Bohang Zhang, Guhao Feng, Yiheng Du, Di He, Liwei Wang:
A Complete Expressiveness Hierarchy for Subgraph GNNs via Subgraph Weisfeiler-Lehman Tests. ICML 2023: 41019-41077 - 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 - Bohang Zhang, Shengjie Luo, Liwei Wang, Di He:
Rethinking the Expressive Power of GNNs via Graph Biconnectivity. CoRR abs/2301.09505 (2023) - Bohang Zhang, Guhao Feng, Yiheng Du, Di He, Liwei Wang:
A Complete Expressiveness Hierarchy for Subgraph GNNs via Subgraph Weisfeiler-Lehman Tests. CoRR abs/2302.07090 (2023) - Guhao Feng, Bohang Zhang, Yuntian Gu, Haotian Ye, Di He, Liwei Wang:
Towards Revealing the Mystery behind Chain of Thought: a Theoretical Perspective. CoRR abs/2305.15408 (2023) - 2022
- Yongjie Zhou, Jun Ma, Fei Li, Bohang Chen, Tao Xian, Xuegang Wei:
An Improved Algorithm for Peak Detection Based on Weighted Continuous Wavelet Transform. IEEE Access 10: 118779-118788 (2022) - Bohang Zhang, Du Jiang, Di He, Liwei Wang:
Boosting the Certified Robustness of L-infinity Distance Nets. ICLR 2022 - Bohang Zhang, Du Jiang, Di He, Liwei Wang:
Rethinking Lipschitz Neural Networks and Certified Robustness: A Boolean Function Perspective. NeurIPS 2022 - Bohang Zhang, Du Jiang, Di He, Liwei Wang:
Rethinking Lipschitz Neural Networks and Certified Robustness: A Boolean Function Perspective. CoRR abs/2210.01787 (2022) - 2021
- Zhaorui Li, Xiaobei Wu, Guangkai Liu, Baofeng Guo, Bohang Chen:
Research on Stochastic Resonance Detection Method for Periodic Signals under Low SNR and α-Stable Noise. Mob. Inf. Syst. 2021: 6625406:1-6625406:13 (2021) - Bohang Zhang, Tianle Cai, Zhou Lu, Di He, Liwei Wang:
Towards Certifying L-infinity Robustness using Neural Networks with L-inf-dist Neurons. ICML 2021: 12368-12379 - Qing Li, Zhixiong Fang, Bohang Liang:
General Architecture Framework and General Modelling Framework: Interoperability of Enterprise Architecture. IN4PL (Revised Selected Papers) 2021: 135-158 - Qing Li, Bohang Liang, Zhixiong Fang:
Mapping and Integration of Architecture and Modelling Frameworks. IN4PL 2021: 216-226 - Jikai Jin, Bohang Zhang, Haiyang Wang, Liwei Wang:
Non-convex Distributionally Robust Optimization: Non-asymptotic Analysis. NeurIPS 2021: 2771-2782 - Bohang Zhang, Tianle Cai, Zhou Lu, Di He, Liwei Wang:
Towards Certifying 𝓁∞ Robustness using Neural Networks with 𝓁∞-dist Neurons. CoRR abs/2102.05363 (2021) - Bohang Zhang, Du Jiang, Di He, Liwei Wang:
Boosting the Certified Robustness of L-infinity Distance Nets. CoRR abs/2110.06850 (2021)
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