Minghao Yan - RankMe

21 papers A* 1Journal 15Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	PACEvolve: Enabling Long-Horizon Progress-Aware Consistent Evolution. CoRR Minghao Yan, Bo Peng, Benjamin Coleman, Ziqi Chen, Zhouhang Xie, Shuo Chen, Zhankui He, Noveen Sachdeva, Isabella Ye, Weili Wang, Chi Wang, Ed H. Chi, Fernando Pereira, Wang-Cheng Kang, Derek Zhiyuan Cheng, Beidou Wang
2026	—	`conf`	TABED: Test-Time Adaptive Ensemble Drafting for Robust Speculative Decoding in LVLMs. EACL (Findings) Minjae Lee, Wonjun Kang, Byeongkeun Ahn, Christian Classen, Kevin Galim, Seunghyuk Oh, Minghao Yan, Hyung Il Koo, Kangwook Lee
2026	J	`jnl`	TABED: Test-Time Adaptive Ensemble Drafting for Robust Speculative Decoding in LVLMs. CoRR Minjae Lee, Wonjun Kang, Byeongkeun Ahn, Christian Classen, Kevin Galim, Seunghyuk Oh, Minghao Yan, Hyung Il Koo, Kangwook Lee
2026	J	`jnl`	Terminal-Bench: Benchmarking Agents on Hard, Realistic Tasks in Command Line Interfaces. CoRR Mike A. Merrill, Alexander Glenn Shaw, Nicholas Carlini, Boxuan Li, Harsh Raj, Ivan Bercovich, Lin Shi, Jeong Yeon Shin, Thomas Walshe, Estefany Kelly Buchanan, Junhong Shen, Guanghao Ye, Haowei Lin, Jason Poulos, Maoyu Wang, Marianna Nezhurina, Jenia Jitsev, Di Lu, Orfeas Menis-Mastromichalakis, Zhiwei Xu, Zizhao Chen, Yue Liu, Robert Zhang, Leon Liangyu Chen, Anurag Kashyap, Jan-Lucas Uslu, Jeffrey Li, Jianbo Wu, Minghao Yan, Song Bian, Vedang Sharma, Ke Sun, Steven Dillmann, Akshay Anand, Andrew Lanpouthakoun, Bardia Koopah, Changran Hu, Etash Kumar Guha, Gabriel H. S. Dreiman, Jiacheng Zhu, Karl Krauth, Li Zhong, Niklas Muennighoff, Robert Amanfu, Shangyin Tan, Shreyas Pimpalgaonkar, Tushar Aggarwal, Xiangning Lin, Xin Lan, Xuandong Zhao, Yiqing Liang, Yuanli Wang, Zilong Wang, Changzhi Zhou, David Heineman, Hange Liu, Harsh Trivedi, John Yang, Junhong Lin, Manish Shetty, Michael Yang, Nabil Omi, Negin Raoof, Shanda Li, Terry Yue Zhuo, Wuwei Lin, Yiwei Dai, Yuxin Wang, Wenhao Chai, Shang Zhou, Dariush Wahdany, Ziyu She, Jiaming Hu, Zhikang Dong, Yuxuan Zhu, Sasha Cui, Ahson Saiyed, Arinbjörn Kolbeinsson, Jesse Hu, Christopher Michael Rytting, Ryan Marten, Yixin Wang, Alex Dimakis, Andy Konwinski, Ludwig Schmidt
2025	J	`jnl`	Blockchain Empowerment in Healthcare: A Survey. IEEE Internet Things J. Jiawei Zhang, Minghao Yan, Zhen Tang, Qiang He, Yuanguo Bi, Yuliang Cai, Qingchao Zhang, Keping Yu, Kun Yang, Junxin Chen, Dong Yang
2025	—	`conf`	Decoding Speculative Decoding. NAACL (Long Papers) Minghao Yan, Saurabh Agarwal, Shivaram Venkataraman
2025	—	`conf`	Diamond: Harnessing GPU Resources for Scientific Deep Learning. eScience Haotian Xie, Rohan Marwaha, Minu Mathew, Song Bian, Gengcong Yang, Minghao Yan, Yadu N. Babuji, Owen Price, Yinzhi Wang, Volodymyr V. Kindratenko, Shivaram Venkataraman, Kyle Chard, Ian T. Foster, Zhao Zhang
2025	J	`jnl`	PLoRA: Efficient LoRA Hyperparameter Tuning for Large Models. CoRR Minghao Yan, Zhuang Wang, Zhen Jia, Shivaram Venkataraman, Yida Wang
2025	A*	`conf`	Scaling Inference-Efficient Language Models. ICML Song Bian, Minghao Yan, Shivaram Venkataraman
2025	J	`jnl`	Scaling Inference-Efficient Language Models. CoRR Song Bian, Minghao Yan, Shivaram Venkataraman
2025	J	`jnl`	What Limits Agentic Systems Efficiency? CoRR Song Bian, Minghao Yan, Anand Jayarajan, Gennady Pekhimenko, Shivaram Venkataraman
2024	J	`jnl`	Decoding Speculative Decoding. CoRR Minghao Yan, Saurabh Agarwal, Shivaram Venkataraman
2023	J	`jnl`	A New Fracture Simulation Algorithm Based On Peridynamics for Brittle Objects. IEEE Access Minghao Yan, Dedao Wu
2023	J	`jnl`	PolyThrottle: Energy-efficient Neural Network Inference on Edge Devices. CoRR Minghao Yan, Hongyi Wang, Shivaram Venkataraman
2022	J	`jnl`	Distributed SLIDE: Enabling Training Large Neural Networks on Low Bandwidth and Simple CPU-Clusters via Model Parallelism and Sparsity. CoRR Minghao Yan, Nicholas Meisburger, Tharun Medini, Anshumali Shrivastava
2021	J	`jnl`	Adaptive Selecting and Learning Network and a New Benchmark for Imbalanced Fine-Grained Ship Classification. IEEE Access Yujie Xu, Minghao Yan, Cheng Xu, Huaidong Zhang, Yijun Liu, Xuemiao Xu
2021	—	`conf`	Fast Processing and Querying of 170TB of Genomics Data via a Repeated And Merged BloOm Filter (RAMBO). SIGMOD Conference Gaurav Gupta, Minghao Yan, Benjamin Coleman, Bryce Kille, Ryan A. Leo Elworth, Tharun Medini, Todd J. Treangen, Anshumali Shrivastava
2021	J	`jnl`	PairConnect: A Compute-Efficient MLP Alternative to Attention. CoRR Zhaozhuo Xu, Minghao Yan, Junyan Zhang, Anshumali Shrivastava
2019	J	`jnl`	Adaptive Learning Knowledge Networks for Few-Shot Learning. IEEE Access Minghao Yan
2019	—	`conf`	Biovitals™: A Personalized Multivariate Physiology Analytics Using Continuous Mobile Biosensors. EMBC Jin Chen, Minghao Yan, Robin Low Chin Howe, Ng Wee Tong, Chan Soon Chee, Wendou Niu, Kuldeep Singh Rajput, Maulik Majmudar, Gengbo Chen
2019	J	`jnl`	Fast Processing and Querying of 170TB of Genomics Data via a Repeated And Merged BloOm Filter (RAMBO). CoRR Gaurav Gupta, Minghao Yan, Benjamin Coleman, Bryce Kille, Ryan A. Leo Elworth, Tharun Medini, Todd J. Treangen, Anshumali Shrivastava