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Disambiguation of "Zhang, Minjia"

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Low-overhead software transactional memory with progress guarantees and strong semantics.

, , , and . PPoPP, page 97-108. ACM, (2015)

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Zhang Zhang

Meng Zhang

Methods and implementations of road-network matching. TU München, (2009)

Shuying Zhang

Fuqing Zhang

Xinming Zhang

 

Other publications of authors with the same name

OCTET: capturing and controlling cross-thread dependences efficiently., , , , , , , and . OOPSLA, page 693-712. ACM, (2013)The Stability-Efficiency Dilemma: Investigating Sequence Length Warmup for Training GPT Models., , and . NeurIPS, (2022)NxMTransformer: Semi-Structured Sparsification for Natural Language Understanding via ADMM., , , and . NeurIPS, page 1818-1830. (2021)Drinking from both glasses: combining pessimistic and optimistic tracking of cross-thread dependences., , , and . PPoPP, page 20:1-20:13. ACM, (2016)Model Tells You What to Discard: Adaptive KV Cache Compression for LLMs., , , , , and . CoRR, (2023)Maximizing Communication Efficiency for Large-scale Training via 0/1 Adam., , , , and . ICLR, OpenReview.net, (2023)System Optimizations for Enabling Training of Extreme Long Sequence Transformer Models., , , , , , , and . PODC, page 121-130. ACM, (2024)Model Tells You Where to Merge: Adaptive KV Cache Merging for LLMs on Long-Context Tasks., , , and . CoRR, (2024)Revisiting the Efficiency-Accuracy Tradeoff in Adapting Transformer Models via Adversarial Fine-Tuning., , and . ECAI, volume 372 of Frontiers in Artificial Intelligence and Applications, page 3026-3033. IOS Press, (2023)XTC: Extreme Compression for Pre-trained Transformers Made Simple and Efficient., , , , and . NeurIPS, (2022)