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Bo Li 0001
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Publications
- 2025
- [c247]Qingsong Yan, Qiang Wang, Kaiyong Zhao, Jie Chen, Bo Li, Xiaowen Chu, Fei Deng:
SphereFusion: Efficient Panorama Depth Estimation via Gated Fusion. 3DV 2025: 855-865 - [c246]Xinglin Pan
, Wenxiang Lin
FSMoE: A Flexible and Scalable Training System for Sparse Mixture-of-Experts Models. ASPLOS (1) 2025: 524-539 - [c243]Wenxiang Lin, Xinglin Pan, Shaohuai Shi, Xuan Wang, Bo Li, Xiaowen Chu:
Mast: Efficient Training of Mixture-of-Experts Transformers with Task Pipelining and Ordering. ICDCS 2025: 560-570 - [i49]Xinglin Pan, Wenxiang Lin, Lin Zhang, Shaohuai Shi, Zhenheng Tang, Rui Wang, Bo Li, Xiaowen Chu:
FSMoE: A Flexible and Scalable Training System for Sparse Mixture-of-Experts Models. CoRR abs/2501.10714 (2025) - [i46]Xiang Liu, Zhenheng Tang, Peijie Dong, Zeyu Li, Bo Li, Xuming Hu, Xiaowen Chu:
ChunkKV: Semantic-Preserving KV Cache Compression for Efficient Long-Context LLM Inference. CoRR abs/2502.00299 (2025) - [i45]Xiang Liu, Zhenheng Tang, Hong Chen, Peijie Dong, Zeyu Li, Xiuze Zhou, Bo Li, Xuming Hu, Xiaowen Chu:
Can LLMs Maintain Fundamental Abilities under KV Cache Compression? CoRR abs/2502.01941 (2025) - [i44]Kunfeng Lai, Zhenheng Tang, Xinglin Pan, Peijie Dong, Xiang Liu, Haolan Chen, Li Shen, Bo Li, Xiaowen Chu:
Mediator: Memory-efficient LLM Merging with Less Parameter Conflicts and Uncertainty Based Routing. CoRR abs/2502.04411 (2025) - [i43]Qingsong Yan, Qiang Wang, Kaiyong Zhao, Jie Chen, Bo Li, Xiaowen Chu, Fei Deng:
SphereFusion: Efficient Panorama Depth Estimation via Gated Fusion. CoRR abs/2502.05859 (2025) - [i41]Zhenheng Tang, Zichen Tang, Junlin Huang, Xinglin Pan, Rudan Yan, Yuxin Wang, Amelie Chi Zhou, Shaohuai Shi, Xiaowen Chu, Bo Li:
DreamDDP: Accelerating Data Parallel Distributed LLM Training with Layer-wise Scheduled Partial Synchronization. CoRR abs/2502.11058 (2025) - [i39]Zhenheng Tang, Xiang Liu, Qian Wang, Peijie Dong, Bingsheng He, Xiaowen Chu, Bo Li:
The Lottery LLM Hypothesis, Rethinking What Abilities Should LLM Compression Preserve? CoRR abs/2502.17535 (2025) - [i38]Peijie Dong, Zhenheng Tang, Xiang Liu, Lujun Li, Xiaowen Chu, Bo Li:
Can Compressed LLMs Truly Act? An Empirical Evaluation of Agentic Capabilities in LLM Compression. CoRR abs/2505.19433 (2025) - [i37]Qingsong Yan, Qiang Wang, Kaiyong Zhao, Jie Chen, Bo Li, Xiaowen Chu, Fei Deng:
RA-NeRF: Robust Neural Radiance Field Reconstruction with Accurate Camera Pose Estimation under Complex Trajectories. CoRR abs/2506.15242 (2025) - [i36]Xin He, Junxi Shen, Zhenheng Tang, Xiaowen Chu, Bo Li, Ivor W. Tsang, Yew-Soon Ong:
RouteMark: A Fingerprint for Intellectual Property Attribution in Routing-based Model Merging. CoRR abs/2508.01784 (2025) - 2024
- [c236]Qingsong Yan, Qiang Wang, Kaiyong Zhao, Jie Chen, Bo Li, Xiaowen Chu, Fei Deng:
CF-NeRF: Camera Parameter Free Neural Radiance Fields with Incremental Learning. AAAI 2024: 6440-6448 - [c234]Shaohuai Shi
ScheMoE: An Extensible Mixture-of-Experts Distributed Training System with Tasks Scheduling. EuroSys 2024: 236-249 - [c227]Xinglin Pan, Wenxiang Lin, Shaohuai Shi
Parm: Efficient Training of Large Sparsely-Activated Models with Dedicated Schedules. INFOCOM 2024: 1880-1889 - [i31]Xinglin Pan, Wenxiang Lin, Shaohuai Shi, Xiaowen Chu, Weinong Sun, Bo Li:
Parm: Efficient Training of Large Sparsely-Activated Models with Dedicated Schedules. CoRR abs/2407.00599 (2024) - [i30]Zhenheng Tang, Xueze Kang, Yiming Yin, Xinglin Pan, Yuxin Wang, Xin He, Qiang Wang, Rongfei Zeng, Kaiyong Zhao, Shaohuai Shi, Amelie Chi Zhou, Bo Li, Bingsheng He, Xiaowen Chu:
FusionLLM: A Decentralized LLM Training System on Geo-distributed GPUs with Adaptive Compression. CoRR abs/2410.12707 (2024) - 2023
- [j185]Zhenheng Tang
GossipFL: A Decentralized Federated Learning Framework With Sparsified and Adaptive Communication. IEEE Trans. Parallel Distributed Syst. 34(3): 909-922 (2023) - [c220]Qingsong Yan
Rethinking Disparity: A Depth Range Free Multi-View Stereo Based on Disparity. AAAI 2023: 3091-3099 - [c217]Lin Zhang, Shaohuai Shi
DeAR: Accelerating Distributed Deep Learning with Fine-Grained All-Reduce Pipelining. ICDCS 2023: 142-153 - [c216]Lin Zhang, Longteng Zhang, Shaohuai Shi
Evaluation and Optimization of Gradient Compression for Distributed Deep Learning. ICDCS 2023: 361-371 - [c209]Shaohuai Shi, Xinglin Pan, Xiaowen Chu, Bo Li:
PipeMoE: Accelerating Mixture-of-Experts through Adaptive Pipelining. INFOCOM 2023: 1-10 - [i28]Lin Zhang, Shaohuai Shi, Xiaowen Chu, Wei Wang, Bo Li, Chengjian Liu:
Decoupling the All-Reduce Primitive for Accelerating Distributed Deep Learning. CoRR abs/2302.12445 (2023) - [i27]Lin Zhang, Longteng Zhang, Shaohuai Shi, Xiaowen Chu, Bo Li:
Evaluation and Optimization of Gradient Compression for Distributed Deep Learning. CoRR abs/2306.08881 (2023) - [i25]Longteng Zhang, Lin Zhang, Shaohuai Shi, Xiaowen Chu, Bo Li:
LoRA-FA: Memory-efficient Low-rank Adaptation for Large Language Models Fine-tuning. CoRR abs/2308.03303 (2023) - [i22]Qingsong Yan, Qiang Wang, Kaiyong Zhao, Jie Chen, Bo Li, Xiaowen Chu, Fei Deng:
CF-NeRF: Camera Parameter Free Neural Radiance Fields with Incremental Learning. CoRR abs/2312.08760 (2023) - 2022
- [j177]Xiaowen Chu
Editorial: Advances in Mobile, Edge and Cloud Computing. Mob. Networks Appl. 27(1): 219-221 (2022) - [j175]Rongfei Zeng, Chao Zeng, Xingwei Wang, Bo Li, Xiaowen Chu:
Incentive Mechanisms in Federated Learning and A Game-Theoretical Approach. IEEE Netw. 36(6): 229-235 (2022) - [c203]Qingsong Yan
SphereDepth: Panorama Depth Estimation from Spherical Domain. 3DV 2022: 1-10 - [i16]Qingsong Yan, Qiang Wang, Kaiyong Zhao, Bo Li, Xiaowen Chu, Fei Deng:
SphereDepth: Panorama Depth Estimation from Spherical Domain. CoRR abs/2208.13714 (2022) - [i13]Qingsong Yan, Qiang Wang, Kaiyong Zhao, Bo Li, Xiaowen Chu, Fei Deng:
Rethinking Disparity: A Depth Range Free Multi-View Stereo Based on Disparity. CoRR abs/2211.16905 (2022) - 2021
- [j167]Shaohuai Shi, Zhenheng Tang, Xiaowen Chu
A Quantitative Survey of Communication Optimizations in Distributed Deep Learning. IEEE Netw. 35(3): 230-237 (2021) - [j163]Shaohuai Shi
MG-WFBP: Merging Gradients Wisely for Efficient Communication in Distributed Deep Learning. IEEE Trans. Parallel Distributed Syst. 32(8): 1903-1917 (2021) - [c185]Shaohuai Shi, Xiaowen Chu, Bo Li:
Exploiting Simultaneous Communications to Accelerate Data Parallel Distributed Deep Learning. INFOCOM 2021: 1-10 - [i12]Rongfei Zeng, Chao Zeng, Xingwei Wang, Bo Li, Xiaowen Chu:
A Comprehensive Survey of Incentive Mechanism for Federated Learning. CoRR abs/2106.15406 (2021) - 2020
- [c178]Shaohuai Shi
Communication-Efficient Distributed Deep Learning with Merged Gradient Sparsification on GPUs. INFOCOM 2020: 406-415 - [e1]Xiaowen Chu, Hongbo Jiang, Bo Li, Dan Wang, Wei Wang:
Quality, Reliability, Security and Robustness in Heterogeneous Systems - 15th EAI International Conference, QShine 2019, Shenzhen, China, November 22-23, 2019, Proceedings. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 300, Springer 2020, ISBN 978-3-030-38818-8 [contents] - [i10]Zhenheng Tang, Shaohuai Shi, Xiaowen Chu, Wei Wang, Bo Li:
Communication-Efficient Distributed Deep Learning: A Comprehensive Survey. CoRR abs/2003.06307 (2020) - [i9]Shaohuai Shi, Zhenheng Tang, Xiaowen Chu, Chengjian Liu, Wei Wang, Bo Li:
Communication-Efficient Distributed Deep Learning: Survey, Evaluation, and Challenges. CoRR abs/2005.13247 (2020) - 2019
- [c174]Shaohuai Shi
MG-WFBP: Efficient Data Communication for Distributed Synchronous SGD Algorithms. INFOCOM 2019: 172-180 - [i7]Shaohuai Shi, Xiaowen Chu, Bo Li:
MG-WFBP: Merging Gradients Wisely for Efficient Communication in Distributed Deep Learning. CoRR abs/1912.09268 (2019) - 2018
- [c170]Shaohuai Shi
A DAG Model of Synchronous Stochastic Gradient Descent in Distributed Deep Learning. ICPADS 2018: 425-432 - [i6]Shaohuai Shi, Qiang Wang, Xiaowen Chu, Bo Li:
Modeling and Evaluation of Synchronous Stochastic Gradient Descent in Distributed Deep Learning on Multiple GPUs. CoRR abs/1805.03812 (2018) - [i4]Shaohuai Shi, Xiaowen Chu, Bo Li:
MG-WFBP: Efficient Data Communication for Distributed Synchronous SGD Algorithms. CoRR abs/1811.11141 (2018) - 2010
- [j104]Xiaowen Chu
Providing key recovery capability for mobile communications. Secur. Commun. Networks 3(2-3): 207-216 (2010) - 2005
- [j68]Xiaowen Chu
Analytical model of sparse-partial wavelength conversion in wavelength-routed WDM networks. IEEE Commun. Lett. 9(1): 69-71 (2005) - [j62]Xiaowen Chu
Dynamic routing and wavelength assignment in the presence of wavelength conversion for all-optical networks. IEEE/ACM Trans. Netw. 13(3): 704-715 (2005) - 2004
- [j56]Zhensheng Zhang, Ya-Qin Zhang, Xiaowen Chu, Bo Li:
An Overview of Virtual Private Network (VPN): IP VPN and Optical VPN. Photonic Netw. Commun. 7(3): 213-225 (2004) - 2003
- [j48]Bo Li, Xiaowen Chu
Routing and wavelength assignment vs. wavelength converter placement in all-optical networks. IEEE Commun. Mag. 41(8) (2003) - [j43]Kazem Sohraby, Zhensheng Zhang, Xiaowen Chu
Resource management in an integrated optical network. IEEE J. Sel. Areas Commun. 21(7): 1052-1062 (2003) - [j41]Xiaowen Chu
Wavelength converter placement under different RWA algorithms in wavelength-routed all-optical networks. IEEE Trans. Commun. 51(4): 607-617 (2003) - [c34]Xiaowen Chu, Bo Li:
A Dynamic RWA Algorithm in a Wavelength-Routed All-Optical Network with Wavelength Converters. INFOCOM 2003: 1795-1804 - 2002
- [c25]Xiaowen Chu, Bo Li, Kazem Sohraby, Zhensheng Zhang:
Routing and wavelength assignment issues in the presence of wavelength conversion for all-optical networks. GLOBECOM 2002: 2787-2791
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last updated on 2025-11-14 22:39 CET by the dblp team
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