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Bo Li 0001
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Publications
- 2025
- [c246]Xinglin Pan
, Wenxiang Lin
FSMoE: A Flexible and Scalable Training System for Sparse Mixture-of-Experts Models. ASPLOS (1) 2025: 524-539 - [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) - [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) - [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
- [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) - 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) - 2020
- [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)
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