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Beidi Chen

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

35

Venues

9

Active years

2018–2026

Best venue rank

A*

Where they publish

Papers

35 indexed papers, newest first.

YearVenueTitleAuthors
2026ACLMedVerse: Efficient and Reliable Medical Reasoning via DAG-Structured Parallel Execution.Jianwen Chen, Xinyu Yang, Peng Xia, Arian Azarang, Yueh Z. Lee, Gang Li, Hongtu Zhu, Yun Li, Beidi Chen, Huaxiu Yao
2026ACLWhen "Correct" Is Not Safe: Can We Trust Functionally Correct Patches Generated by Code Agents?Yibo Peng, James Song, Lei Li, Xinyu Yang, Mihai Christodorescu, Ravi Mangal, Corina S. Pasareanu, Haizhong Zheng, Beidi Chen
2026ASPLOSWave: Leveraging Architecture Observation for Privacy-Preserving Model Oversight.Haoxuan Xu, Chen Gong, Beijie Liu, Haizhong Zheng, Beidi Chen, Mengyuan Li
2026NSDIRLBoost: Harvesting Preemptible Cloud Resources for Cost-Efficient Reinforcement Learning on LLMs.Yongji Wu, Xueshen Liu, Haizhong Zheng, Juncheng Gu, Beidi Chen, Z. Morley Mao, Arvind Krishnamurthy, Ion Stoica
2025ICLRAPE: Faster and Longer Context-Augmented Generation via Adaptive Parallel Encoding.Xinyu Yang, Tianqi Chen, Beidi Chen
2025ICLRMagicPIG: LSH Sampling for Efficient LLM Generation.Zhuoming Chen, Ranajoy Sadhukhan, Zihao Ye, Yang Zhou, Jianyu Zhang, Niklas Nolte, Yuandong Tian, Matthijs Douze, Lon Bottou, Zhihao Jia, Beidi Chen
2025ICLRZeroth-Order Fine-Tuning of LLMs with Transferable Static Sparsity.Wentao Guo, Jikai Long, Yimeng Zeng, Zirui Liu, Xinyu Yang, Yide Ran, Jacob R. Gardner, Osbert Bastani, Christopher De Sa, Xiaodong Yu, Beidi Chen, Zhaozhuo Xu
2025ICLRMagicDec: Breaking the Latency-Throughput Tradeoff for Long Context Generation with Speculative Decoding.Ranajoy Sadhukhan, Jian Chen, Zhuoming Chen, Vashisth Tiwari, Ruihang Lai, Jinyuan Shi, Ian En-Hsu Yen, Avner May, Tianqi Chen, Beidi Chen
2025ICLRMemory Mosaics.Jianyu Zhang, Niklas Nolte, Ranajoy Sadhukhan, Beidi Chen, Lon Bottou
2025ICMLSpeculative Prefill: Turbocharging TTFT with Lightweight and Training-Free Token Importance Estimation.Jingyu Liu, Beidi Chen, Ce Zhang
2025ICMLShadowKV: KV Cache in Shadows for High-Throughput Long-Context LLM Inference.Hanshi Sun, Li-Wen Chang, Wenlei Bao, Size Zheng, Ningxin Zheng, Xin Liu, Harry Dong, Yuejie Chi, Beidi Chen
2025ICMLGSM-∞: How Do your LLMs Behave over Infinitely Increasing Reasoning Complexity and Context Length?Yang Zhou, Hongyi Liu, Zhuoming Chen, Yuandong Tian, Beidi Chen
2025MICROLLM.265: Video Codecs are Secretly Tensor Codecs.Ceyu Xu, Yongji Wu, Xinyu Yang, Beidi Chen, Matthew Lentz, Danyang Zhuo, Lisa Wu Wills
2024ACLLayerSkip: Enabling Early Exit Inference and Self-Speculative Decoding.Mostafa Elhoushi, Akshat Shrivastava, Diana Liskovich, Basil Hosmer, Bram Wasti, Liangzhen Lai, Anas Mahmoud, Bilge Acun, Saurabh Agarwal, Ahmed Roman, Ahmed A. Aly, Beidi Chen, Carole-Jean Wu
2024ICLRJoMA: Demystifying Multilayer Transformers via Joint Dynamics of MLP and Attention.Yuandong Tian, Yiping Wang, Zhenyu Zhang, Beidi Chen, Simon Shaolei Du
2024ICLREfficient Streaming Language Models with Attention Sinks.Guangxuan Xiao, Yuandong Tian, Beidi Chen, Song Han, Mike Lewis
2024ICMLLoCoCo: Dropping In Convolutions for Long Context Compression.Ruisi Cai, Yuandong Tian, Zhangyang Wang, Beidi Chen
2024ICMLGet More with LESS: Synthesizing Recurrence with KV Cache Compression for Efficient LLM Inference.Harry Dong, Xinyu Yang, Zhenyu Zhang, Zhangyang Wang, Yuejie Chi, Beidi Chen
2024ICMLHexGen: Generative Inference of Large Language Model over Heterogeneous Environment.Youhe Jiang, Ran Yan, Xiaozhe Yao, Yang Zhou, Beidi Chen, Binhang Yuan
2024ICMLKIVI: A Tuning-Free Asymmetric 2bit Quantization for KV Cache.Zirui Liu, Jiayi Yuan, Hongye Jin, Shaochen (Henry) Zhong, Zhaozhuo Xu, Vladimir Braverman, Beidi Chen, Xia Hu
2024ICMLSoft Prompt Recovers Compressed LLMs, Transferably.Zhaozhuo Xu, Zirui Liu, Beidi Chen, Shaochen (Henry) Zhong, Yuxin Tang, Jue Wang, Kaixiong Zhou, Xia Hu, Anshumali Shrivastava
2024ICMLGaLore: Memory-Efficient LLM Training by Gradient Low-Rank Projection.Jiawei Zhao, Zhenyu Zhang, Beidi Chen, Zhangyang Wang, Anima Anandkumar, Yuandong Tian
2024MOBICOMFederated Black-box Prompt Tuning System for Large Language Models on the Edge.Yiming Li, Jingwei Sun, Yudong Liu, Yuandong Zhang, Ang Li, Beidi Chen, Holger R. Roth, Daguang Xu, Tingjun Chen, Yiran Chen
2023COLTFast Algorithms for a New Relaxation of Optimal Transport.Moses Charikar, Beidi Chen, Christopher R, Erik Waingarten
2023ICMLFlexGen: High-Throughput Generative Inference of Large Language Models with a Single GPU.Ying Sheng, Lianmin Zheng, Binhang Yuan, Zhuohan Li, Max Ryabinin, Beidi Chen, Percy Liang, Christopher R, Ion Stoica, Ce Zhang
2023ICMLDeja Vu: Contextual Sparsity for Efficient LLMs at Inference Time.Zichang Liu, Jue Wang, Tri Dao, Tianyi Zhou, Binhang Yuan, Zhao Song, Anshumali Shrivastava, Ce Zhang, Yuandong Tian, Christopher R, Beidi Chen
2023ICMLCocktailSGD: Fine-tuning Foundation Models over 500Mbps Networks.Jue Wang, Yucheng Lu, Binhang Yuan, Beidi Chen, Percy Liang, Christopher De Sa, Christopher R, Ce Zhang
2022ICLRPixelated Butterfly: Simple and Efficient Sparse training for Neural Network Models.Beidi Chen, Tri Dao, Kaizhao Liang, Jiaming Yang, Zhao Song, Atri Rudra, Christopher R
2022ICMLMonarch: Expressive Structured Matrices for Efficient and Accurate Training.Tri Dao, Beidi Chen, Nimit Sharad Sohoni, Arjun D. Desai, Michael Poli, Jessica Grogan, Alexander Liu, Aniruddh Rao, Atri Rudra, Christopher R
2021ICLRMONGOOSE: A Learnable LSH Framework for Efficient Neural Network Training.Beidi Chen, Zichang Liu, Binghui Peng, Zhaozhuo Xu, Jonathan Lingjie Li, Tri Dao, Zhao Song, Anshumali Shrivastava, Christopher R
2021ICLRSOLAR: Sparse Orthogonal Learned and Random Embeddings.Tharun Medini, Beidi Chen, Anshumali Shrivastava
2021ICMLA Tale of Two Efficient and Informative Negative Sampling Distributions.Shabnam Daghaghi, Tharun Medini, Nicholas Meisburger, Beidi Chen, Mengnan Zhao, Anshumali Shrivastava
2020ICMLAngular Visual Hardness.Beidi Chen, Weiyang Liu, Zhiding Yu, Jan Kautz, Anshumali Shrivastava, Animesh Garg, Animashree Anandkumar
2018ICLRLsh-Sampling breaks the Computational chicken-and-egg Loop in adaptive stochastic Gradient estimation.Beidi Chen, Yingchen Xu, Anshumali Shrivastava
2018UAIDensified Winner Take All (WTA) Hashing for Sparse Datasets.Beidi Chen, Anshumali Shrivastava