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Min-Jia Zhang · SciRah

Researcher profile · Semantic Scholar

Min-Jia Zhang

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Min-Jia Zhang — researcher profile on SciRah

h-index: 22
Works: 94
Citations: 3,505

Most-cited papers

DeepSpeed-MoE: Advancing Mixture-of-Experts Inference and Training to Power Next-Generation AI Scale
Samyam Rajbhandari, Cong-Long Li, Z. Yao, Min-Jia Zhang +4 more
2022International Conference on Machine Learning688 citations
Semantic Scholar
Model Tells You What to Discard: Adaptive KV Cache Compression for LLMs
Suyu Ge, Yu-Nan Zhang, Li-Yuan Liu, Min-Jia Zhang +2 more
2023International Conference on Learning Representations579 citations Open access
Semantic Scholar
OpenFold: retraining AlphaFold2 yields new insights into its learning mechanisms and capacity for generalization
Gustaf Ahdritz, N. Bouatta, C. Floristean, Sachin Kadyan +30 more
2023bioRxiv489 citations Open access
Semantic Scholar
UltraEdit: Instruction-based Fine-Grained Image Editing at Scale
Haozhe Zhao, Xiaojian Ma, Liang Chen, Shuzheng Si +6 more
2024Neural Information Processing Systems319 citations
Semantic Scholar
Improving Retrieval-Augmented Generation in Medicine with Iterative Follow-up Questions
Guang-Zhi Xiong, Qiao Jin, Xiao Wang, Min-Jia Zhang +2 more
2024Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing144 citations Open access
Semantic Scholar
Model Tells You Where to Merge: Adaptive KV Cache Merging for LLMs on Long-Context Tasks
Zheng Wang, Bo Jin, Zhongzhi Yu, Min-Jia Zhang
2024arXiv.org109 citations
Semantic Scholar
RenAIssance: A Survey Into AI Text-to-Image Generation in the Era of Large Model
Fengxiang Bie, Yibo Yang, Zhong-Zhu Zhou, Adam Ghanem +9 more
2023IEEE Transactions on Pattern Analysis and Machine Intelligence101 citations Open access
Semantic Scholar
VTool-R1: VLMs Learn to Think with Images via Reinforcement Learning on Multimodal Tool Use
Ming-Yuan Wu, Jingcheng Yang, Ji-Ze Jiang, Meitang Li +5 more
2025arXiv.org95 citations
Semantic Scholar
System Optimizations for Enabling Training of Extreme Long Sequence Transformer Models
Sam Adé Jacobs, Masahiro Tanaka, Cheng-Ming Zhang, Min-Jia Zhang +4 more
2024IEEE International Symposium on Parallel & Distributed Processing, Workshops and Phd Forum93 citations
Semantic Scholar
Parcae: Proactive, Liveput-Optimized DNN Training on Preemptible Instances
Jiangfei Duan, Ziang Song, Xu-Peng Miao, Xiaoli Xi +4 more
2024Symposium on Networked Systems Design and Implementation54 citations
Semantic Scholar
Vexless: A Serverless Vector Data Management System Using Cloud Functions
Yong-Ye Su, Yinqi Sun, Min-Jia Zhang, Jianguo Wang
2024Proc. ACM Manag. Data48 citations
Semantic Scholar
A Survey of Multi-Tenant Deep Learning Inference on GPU
Fuxun Yu, Di Wang, Long-Fei Shangguan, Min-Jia Zhang +2 more
2022arXiv.org45 citations Open access
Semantic Scholar
Next Token Prediction Towards Multimodal Intelligence: A Comprehensive Survey
Liang Chen, Z. Wang, Shuhuai Ren, Lei Li +23 more
2024arXiv.org38 citations
Semantic Scholar
RAG-Gym: Optimizing Reasoning and Search Agents with Process Supervision
Guang-Zhi Xiong, Qiao Jin, Xiao Wang, Yin Fang +8 more
2025arXiv.org34 citations
Semantic Scholar
Curriculum Learning: A Regularization Method for Efficient and Stable Billion-Scale GPT Model Pre-Training
Cong-Long Li, Min-Jia Zhang, Yu-Xiong He
2021arXiv.org33 citations
Semantic Scholar
NxMTransformer: Semi-Structured Sparsification for Natural Language Understanding via ADMM
Connor Holmes, Min-Jia Zhang, Yu-Xiong He, Bo Wu
2021Neural Information Processing Systems29 citations
Semantic Scholar
DeepSpeed4Science Initiative: Enabling Large-Scale Scientific Discovery through Sophisticated AI System Technologies
S. Song, Bonnie Kruft, Min-Jia Zhang, Cong-Long Li +88 more
2023arXiv.org27 citations Open access
Semantic Scholar
VQ-LLM: High-performance Code Generation for Vector Quantization Augmented LLM Inference
Zi-Han Liu, Xin-Hao Luo, Junxian Guo, Wentao Ni +10 more
2025International Symposium on High-Performance Computer Architecture26 citations Open access
Semantic Scholar
Transforming the Hybrid Cloud for Emerging AI Workloads
Deming Chen, Alaa Youssef, R. Pendse, Andr'e Schleife +40 more
2024arXiv.org25 citations
Semantic Scholar
Universal Checkpointing: A Flexible and Efficient Distributed Checkpointing System for Large-Scale DNN Training with Reconfigurable Parallelism
Xinyu Lian, Sam Adé Jacobs, Lev Kurilenko, Masahiro Tanaka +3 more
2024USENIX Annual Technical Conference23 citations
Semantic Scholar
Maximizing Communication Efficiency for Large-scale Training via 0/1 Adam
Yu-Cheng Lu, Cong-Long Li, Min-Jia Zhang, C. De Sa +1 more
2022International Conference on Learning Representations23 citations
Semantic Scholar
A Goal Without a Plan Is Just a Wish: Efficient and Effective Global Planner Training for Long-Horizon Agent Tasks
Shuzheng Si, Haozhe Zhao, Kangyang Luo, Gang Chen +4 more
2025Annual Meeting of the Association for Computational Linguistics22 citations
Semantic Scholar
From Context to Skills: Can Language Models Learn from Context Skillfully?
Shuzheng Si, Haozhe Zhao, Yu Lei, Qingyi Wang +9 more
2026arXiv.org21 citations
Semantic Scholar
Configuration Validation with Large Language Models
Xinyu Lian, Yinfang Chen, Runxiang Cheng, Jie Huang +3 more
2023arXiv.org19 citations
Semantic Scholar
CarM Hierarchical Episodic Memory for Continual Learning
Soobee Lee, Minindu Weerakoon, Jonghyun Choi, Min-Jia Zhang +2 more
2022Design Automation Conference19 citations
Semantic Scholar
DynaTune: Dynamic Tensor Program Optimization in Deep Neural Network Compilation
Min-Jia Zhang, Menghao Li, Chi Wang, Ming-Qin Li
2021International Conference on Learning Representations19 citations
Semantic Scholar
Large Language Models as Configuration Validators
Xinyu Lian, Yinfang Chen, Runxiang Cheng, Jie Huang +3 more
2025International Conference on Software Engineering18 citations
Semantic Scholar
Universal Checkpointing: Efficient and Flexible Checkpointing for Large Scale Distributed Training
Xinyu Lian, Sam Adé Jacobs, Lev Kurilenko, Masahiro Tanaka +3 more
2024arXiv.org18 citations
Semantic Scholar
MedCite: Can Language Models Generate Verifiable Text for Medicine?
Xiao Wang, Mengjue Tan, Qiao Jin, Guang-Zhi Xiong +4 more
2025Annual Meeting of the Association for Computational Linguistics17 citations
Semantic Scholar
FedCust: Offloading hyperparameter customization for federated learning
Syed Zawad, Xiao-Long Ma, Jun Yi, Cheng X. Li +4 more
2024Performance evaluation (Print)17 citations
Semantic Scholar
Computing in the Era of Large Generative Models: From Cloud-Native to AI-Native
Yao Lu, Song Bian, Lequn Chen, Yongjun He +18 more
2024arXiv.org17 citations
Semantic Scholar
Toward Sensor-In-the-Loop LLM Agent: Benchmarks and Implications
Zhi-Wei Ren, Jun-Bo Li, Min-Jia Zhang, Di Wang +2 more
2025ACM International Conference on Embedded Networked Sensor Systems16 citations Open access
Semantic Scholar
A Survey of Large-Scale Deep Learning Serving System Optimization: Challenges and Opportunities
Fuxun Yu, Di Wang, Long-Fei Shangguan, Min-Jia Zhang +3 more
2021arXiv.org15 citations
Semantic Scholar
LONG SHORT-TERM MEMORY
W. Wen, Yi-Ran Chen, Hai Helen Li, Yuxiong He +5 more
201815 citations
Semantic Scholar
GraSP: Optimizing Graph-based Nearest Neighbor Search with Subgraph Sampling and Pruning
Min-Jia Zhang, Wen-Han Wang, Yu-Xiong He
2022Web Search and Data Mining14 citations
Semantic Scholar
Zoom: SSD-based Vector Search for Optimizing Accuracy, Latency and Memory
Min-Jia Zhang, Yu-Xiong He
2018arXiv.org14 citations
Semantic Scholar
FlexGaussian: Flexible and Cost-Effective Training-Free Compression for 3D Gaussian Splatting
Bo-Yuan Tian, Qizhe Gao, Siran Xianyu, Xiao-Tong Cui +1 more
2025ACM Multimedia13 citations Open access
Semantic Scholar
MiLo: Efficient Quantized MoE Inference with Mixture of Low-Rank Compensators
Beichen Huang, Yue-Ming Yuan, Zelei Shao, Min-Jia Zhang
2025Conference on Machine Learning and Systems12 citations
Semantic Scholar
Hidden States as Early Signals: Step-level Trace Evaluation and Pruning for Efficient Test-Time Scaling
Zhi-Xiang Liang, Beichen Huang, Zheng Wang, Min-Jia Zhang
2026Annual Meeting of the Association for Computational Linguistics11 citations
Semantic Scholar
VoltanaLLM: Feedback-Driven Frequency Control and State-Space Routing for Energy-Efficient LLM Serving
Jia-Huan Yu, Aryan Taneja, Junfeng Lin, Min-Jia Zhang
2025arXiv.org11 citations
Semantic Scholar
MiniKV: Pushing the Limits of 2-Bit KV Cache via Compression and System Co-Design for Efficient Long Context Inference
Akshat Sharma, Hangliang Ding, Jianping Li, Neel Dani +1 more
2025Annual Meeting of the Association for Computational Linguistics11 citations Open access
Semantic Scholar
DUET: A Compiler-Runtime Subgraph Scheduling Approach for Tensor Programs on a Coupled CPU-GPU Architecture
Min-Jia Zhang, Zehua Hu, Ming-Qin Li
2021IEEE International Parallel and Distributed Processing Symposium11 citations
Semantic Scholar
Crafter: A Multi-Agent Harness for Editable Scientific Figure Generation from Diverse Inputs
Haozhe Zhao, Shuzheng Si, Zhenhailong Wang, Zheng Wang +5 more
2026arXiv.org10 citations
Semantic Scholar
SuperOffload: Unleashing the Power of Large-Scale LLM Training on Superchips
Xinyu Lian, Masahiro Tanaka, Olatunji Ruwase, Min-Jia Zhang
2025International Conference on Architectural Support for Programming Languages and Operating Systems10 citations Open access
Semantic Scholar
InstantEdit: Text-Guided Few-Step Image Editing with Piecewise Rectified Flow
Yiming Gong, Zhen Zhu, Min-Jia Zhang
2025IEEE International Conference on Computer Vision10 citations Open access
Semantic Scholar
Supervising the search process produces reliable and generalizable information-seeking agents
Guang-Zhi Xiong, Qiao Jin, Xiao Wang, Yin Fang +8 more
202510 citations
Semantic Scholar
X-MoE: Enabling Scalable Training for Emerging Mixture-of-Experts Architectures on HPC Platforms
Yue-Ming Yuan, Ahan Gupta, Jianping Li, Sajal Dash +2 more
2025International Conference on Software Composition10 citations Open access
Semantic Scholar
PuzzleMoE: Efficient Compression of Large Mixture-of-Experts Models via Sparse Expert Merging and Bit-packed inference
Yu-Shu Zhao, Zheng Wang, Min-Jia Zhang
2025arXiv.org10 citations
Semantic Scholar
Teaching Large Language Models to Maintain Contextual Faithfulness via Synthetic Tasks and Reinforcement Learning
Shuzheng Si, Haozhe Zhao, Cheng Gao, Yu-Zhuo Bai +10 more
2025AAAI Conference on Artificial Intelligence10 citations
Semantic Scholar
MMGR: Multi-Modal Generative Reasoning Benchmark and Evaluation
Ze-Fan Cai, Haoyi Qiu, Tian-Yi Ma, Haozhe Zhao +9 more
20259 citations
Semantic Scholar

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