Xiaodong Yu
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
52
Venues
23
Active years
2007–2026
Best venue rank
A*
Where they publish
- AICS6 papers
- AHPDC5 papers
- A*EMNLP5 papers
- A*ACL4 papers
- ASC4 papers
- ANAACL3 papers
- BPPoPP3 papers
- AEACL2 papers
- A*AAAI2 papers
- CCLUSTER2 papers
- ABMVC2 papers
- A*ECCV2 papers
- NationalICNC2 papers
- ADSN1 paper
- AICDCS1 paper
- A*ICLR1 paper
- CHPCC1 paper
- A*ICDE1 paper
- AUSENIX1 paper
- BLREC1 paper
- BCCGRID1 paper
- A*ICCV1 paper
- BICPR1 paper
Papers
52 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | DRIFT: Transferring Reasoning Priors for Efficient MLLM Fine-Tuning. | Chao Huang, Zeliang Zhang, Jiang Liu, Ximeng Sun, Jialian Wu, Xiaodong Yu, Ze Wang, Chenliang Xu, Emad Barsoum, Zicheng Liu |
| 2026 | ACL | Stabilizing Efficient Reasoning with Step-Level Advantage Selection. | Han Wang, Xiaodong Yu, Jialian Wu, Jiang Liu, Ximeng Sun, Mohit Bansal, Zicheng Liu |
| 2026 | ACL | Reliable Use of Lemmas via Eligibility Reasoning and Section-Aware Reinforcement Learning. | Zhikun Xu, Xiaodong Yu, Ben Zhou, Jiang Liu, Jialian Wu, Ze Wang, Ximeng Sun, Hao Chen, Zicheng Liu |
| 2026 | DSN | In-Depth Exploration of Differentially Private Quantization for Privacy-Preserving and Communication-Efficient Federated Learning. | Shan Huang, Zhijing Ye, Jiamin Wang, Zhaorui Zhang, Jie Fu, Wendy Hui Wang, Sheng Di, Xiaodong Yu |
| 2026 | HPDC | NCCLZ: Compression-Enabled GPU Collectives with Decoupled Quantization and Entropy Coding. | Jiamin Wang, Zhijing Ye, Xiaodong Yu |
| 2026 | ICDCS | Noise-Calibrated Lossy Compression for Privacy Leakage Reduction in Federated Learning. | Shan Huang, Zhijing Ye, Zhaorui Zhang, Sheng Di, Jiamin Wang, Wendy Hui Wang, Xiaodong Yu |
| 2025 | ACL | Self-Taught Agentic Long Context Understanding. | Yufan Zhuang, Xiaodong Yu, Jialian Wu, Ximeng Sun, Ze Wang, Jiang Liu, Yusheng Su, Jingbo Shang, Zicheng Liu, Emad Barsoum |
| 2025 | EMNLP | TTT-Bench: A Benchmark for Evaluating Reasoning Ability with Simple and Novel Tic-Tac-Toe-style Games. | Prakamya Mishra, Jiang Liu, Jialian Wu, Xiaodong Yu, Zicheng Liu, Emad Barsoum |
| 2025 | EMNLP | Agent Laboratory: Using LLM Agents as Research Assistants. | Samuel Schmidgall, Yusheng Su, Ze Wang, Ximeng Sun, Jialian Wu, Xiaodong Yu, Jiang Liu, Michael Moor, Zicheng Liu, Emad Barsoum |
| 2025 | ICLR | Zeroth-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 |
| 2025 | NAACL | ALinFiK: Learning to Approximate Linearized Future Influence Kernel for Scalable Third-Parity LLM Data Valuation. | Yanzhou Pan, Huawei Lin, Yide Ran, Jiamin Chen, Xiaodong Yu, Weijie Zhao, Denghui Zhang, Zhaozhuo Xu |
| 2025 | PPoPP | COMPSO: Optimizing Gradient Compression for Distributed Training with Second-Order Optimizers. | Baixi Sun, Weijin Liu, J. Gregory Pauloski, Jiannan Tian, Jinda Jia, Daoce Wang, Boyuan Zhang, Mingkai Zheng, Sheng Di, Sian Jin, Zhao Zhang, Xiaodong Yu, Kamil A. Iskra, Pete Beckman, Guangming Tan, Dingwen Tao |
| 2025 | SC | Compression Error Sensitivity Analysis for Different Experts in MoE Model Inference. | Songkai Ma, Zhaorui Zhang, Sheng Di, Benben Liu, Xiaodong Yu, Xiaoyi Lu, Dan Wang |
| 2024 | HPCC | DRCFL: Representation Driven Head Clustering for Federated Learning on Edge Devices. | Liyu Wang, Zheyu Yang, Yang Yang, Bin Luo, Wenfeng Xu, Xiaodong Yu, Linlin Zhu |
| 2024 | HPDC | A Portable, Fast, DCT-based Compressor for AI Accelerators. | Milan Shah, Xiaodong Yu, Sheng Di, Michela Becchi, Franck Cappello |
| 2024 | HPDC | CereSZ: Enabling and Scaling Error-bounded Lossy Compression on Cerebras CS-2. | Shihui Song, Yafan Huang, Peng Jiang, Xiaodong Yu, Weijian Zheng, Sheng Di, Qinglei Cao, Yunhe Feng, Zhen Xie, Franck Cappello |
| 2024 | ICDE | G | Lyuheng Yuan, Akhlaque Ahmad, Da Yan, Jiao Han, Saugat Adhikari, Xiaodong Yu, Yang Zhou |
| 2024 | ICS | gZCCL: Compression-Accelerated Collective Communication Framework for GPU Clusters. | Jiajun Huang, Sheng Di, Xiaodong Yu, Yujia Zhai, Jinyang Liu, Yafan Huang, Ken Raffenetti, Hui Zhou, Kai Zhao, Xiaoyi Lu, Zizhong Chen, Franck Cappello, Yanfei Guo, Rajeev Thakur |
| 2024 | NAACL | ReEval: Automatic Hallucination Evaluation for Retrieval-Augmented Large Language Models via Transferable Adversarial Attacks. | Xiaodong Yu, Hao Cheng, Xiaodong Liu, Dan Roth, Jianfeng Gao |
| 2024 | PPoPP | POSTER: Optimizing Collective Communications with Error-bounded Lossy Compression for GPU Clusters. | Jiajun Huang, Sheng Di, Xiaodong Yu, Yujia Zhai, Jinyang Liu, Yafan Huang, Ken Raffenetti, Hui Zhou, Kai Zhao, Zizhong Chen, Franck Cappello, Yanfei Guo, Rajeev Thakur |
| 2024 | SC | hZCCL: Accelerating Collective Communication with Co-Designed Homomorphic Compression. | Jiajun Huang, Sheng Di, Xiaodong Yu, Yujia Zhai, Jinyang Liu, Zizhe Jian, Xin Liang, Kai Zhao, Xiaoyi Lu, Zizhong Chen, Franck Cappello, Yanfei Guo, Rajeev Thakur |
| 2024 | USENIX | Centimani: Enabling Fast AI Accelerator Selection for DNN Training with a Novel Performance Predictor. | Zhen Xie, Murali Emani, Xiaodong Yu, Dingwen Tao, Xin He, Pengfei Su, Keren Zhou, Venkatram Vishwanath |
| 2023 | EACL | Lightweight Spatial Modeling for Combinatorial Information Extraction From Documents. | Yanfei Dong, Lambert Deng, Jiazheng Zhang, Xiaodong Yu, Ting Lin, Francesco Gelli, Soujanya Poria, Wee Sun Lee |
| 2023 | EACL | Event Linking: Grounding Event Mentions to Wikipedia. | Xiaodong Yu, Wenpeng Yin, Nitish Gupta, Dan Roth |
| 2023 | HPDC | FZ-GPU: A Fast and High-Ratio Lossy Compressor for Scientific Computing Applications on GPUs. | Boyuan Zhang, Jiannan Tian, Sheng Di, Xiaodong Yu, Yunhe Feng, Xin Liang, Dingwen Tao, Franck Cappello |
| 2023 | ICS | HEAT: A Highly Efficient and Affordable Training System for Collaborative Filtering Based Recommendation on CPUs. | Chengming Zhang, Shaden Smith, Baixi Sun, Jiannan Tian, Jonathan Soifer, Xiaodong Yu, Shuaiwen Leon Song, Yuxiong He, Dingwen Tao |
| 2023 | ICS | Lightweight Huffman Coding for Efficient GPU Compression. | Milan Shah, Xiaodong Yu, Sheng Di, Michela Becchi, Franck Cappello |
| 2023 | ICS | GPULZ: Optimizing LZSS Lossless Compression for Multi-byte Data on Modern GPUs. | Boyuan Zhang, Jiannan Tian, Sheng Di, Xiaodong Yu, Martin Swany, Dingwen Tao, Franck Cappello |
| 2023 | SC | Benchmarking and In-depth Performance Study of Large Language Models on Habana Gaudi Processors. | Chengming Zhang, Baixi Sun, Xiaodong Yu, Zhen Xie, Weijian Zheng, Kamil A. Iskra, Pete Beckman, Dingwen Tao |
| 2023 | SC | cuSZp: An Ultra-fast GPU Error-bounded Lossy Compression Framework with Optimized End-to-End Performance. | Yafan Huang, Sheng Di, Xiaodong Yu, Guanpeng Li, Franck Cappello |
| 2022 | AAAI | SOIT: Segmenting Objects with Instance-Aware Transformers. | Xiaodong Yu, Dahu Shi, Xing Wei, Ye Ren, Tingqun Ye, Wenming Tan |
| 2022 | EMNLP | Learning to Decompose: Hypothetical Question Decomposition Based on Comparable Texts. | Ben Zhou, Kyle Richardson, Xiaodong Yu, Dan Roth |
| 2022 | HPDC | Ultrafast Error-bounded Lossy Compression for Scientific Datasets. | Xiaodong Yu, Sheng Di, Kai Zhao, Jiannan Tian, Dingwen Tao, Xin Liang, Franck Cappello |
| 2021 | CLUSTER | Optimizing Error-Bounded Lossy Compression for Scientific Data on GPUs. | Jiannan Tian, Sheng Di, Xiaodong Yu, Cody Rivera, Kai Zhao, Sian Jin, Yunhe Feng, Xin Liang, Dingwen Tao, Franck Cappello |
| 2021 | CLUSTER | cuZ-Checker: A GPU-Based Ultra-Fast Assessment System for Lossy Compressions. | Xiaodong Yu, Sheng Di, Ali Murat Gok, Dingwen Tao, Franck Cappello |
| 2021 | ICS | Topology-aware optimizations for multi-GPU ptychographic image reconstruction. | Xiaodong Yu, Tekin Bicer, Rajkumar Kettimuthu, Ian T. Foster |
| 2021 | NAACL | RESIN: A Dockerized Schema-Guided Cross-document Cross-lingual Cross-media Information Extraction and Event Tracking System. | Haoyang Wen, Ying Lin, Tuan Manh Lai, Xiaoman Pan, Sha Li, Xudong Lin, Ben Zhou, Manling Li, Haoyu Wang, Hongming Zhang, Xiaodong Yu, Alexander Dong, Zhenhailong Wang, Yi Ren Fung, Piyush Mishra, Qing Lyu, Ddac Surs, Brian Chen, Susan Windisch Brown, Martha Palmer, Chris Callison-Burch, Carl Vondrick, Jiawei Han, Dan Roth, Shih-Fu Chang, Heng Ji |
| 2020 | EMNLP | Design Challenges in Low-resource Cross-lingual Entity Linking. | Xingyu Fu, Weijia Shi, Xiaodong Yu, Zian Zhao, Dan Roth |
| 2018 | EMNLP | On the Strength of Character Language Models for Multilingual Named Entity Recognition. | Xiaodong Yu, Stephen Mayhew, Mark Sammons, Dan Roth |
| 2018 | LREC | CogCompNLP: Your Swiss Army Knife for NLP. | Daniel Khashabi, Mark Sammons, Ben Zhou, Tom Redman, Christos Christodoulopoulos, Vivek Srikumar, Nicholas Rizzolo, Lev-Arie Ratinov, Guanheng Luo, Quang Do, Chen-Tse Tsai, Subhro Roy, Stephen Mayhew, Zhili Feng, John Wieting, Xiaodong Yu, Yangqiu Song, Shashank Gupta, Shyam Upadhyay, Naveen Arivazhagan, Qiang Ning, Shaoshi Ling, Dan Roth |
| 2017 | ICS | Demystifying automata processing: GPUs, FPGAs or Micron's AP? | Marziyeh Nourian, Xiang Wang, Xiaodong Yu, Wu-chun Feng, Michela Becchi |
| 2016 | CCGRID | cuART: Fine-Grained Algebraic Reconstruction Technique for Computed Tomography Images on GPUs. | Xiaodong Yu, Hao Wang, Wu-chun Feng, Hao Gong, Guohua Cao |
| 2013 | BMVC | Action Attribute Detection from Sports Videos with Contextual Constraints. | Xiaodong Yu, Ching Lik Teo, Yezhou Yang, Cornelia Fermller, Yiannis Aloimonos |
| 2013 | PPoPP | Exploring different automata representations for efficient regular expression matching on GPUs. | Xiaodong Yu, Michela Becchi |
| 2011 | AAAI | Visual Scene Interpretation as a Dialogue between Vision and Language. | Xiaodong Yu, Cornelia Fermller, Yiannis Aloimonos |
| 2011 | ICCV | Active scene recognition with vision and language. | Xiaodong Yu, Cornelia Fermller, Ching Lik Teo, Yezhou Yang, Yiannis Aloimonos |
| 2010 | ECCV | Attribute-Based Transfer Learning for Object Categorization with Zero/One Training Example. | Xiaodong Yu, Yiannis Aloimonos |
| 2009 | ICNC | Transformer Fault Diagnosis Based on Improved SVM Model. | Xiaodong Yu, Li Zhang |
| 2008 | ECCV | Learning Visual Shape Lexicon for Document Image Content Recognition. | Guangyu Zhu, Xiaodong Yu, Yi Li, David S. Doermann |
| 2008 | ICNC | Disturbance Classification Utilizing Wavelet and Multi-class Support Vector Machines. | Hongzhi Zang, Xiaodong Yu |
| 2008 | ICPR | Support Vector Data Description for image categorization from Internet images. | Xiaodong Yu, Daniel DeMenthon, David S. Doermann |
| 2007 | BMVC | Object Detection Using Shape Codebook. | Xiaodong Yu, Li Yi, Cornelia Fermller, David S. Doermann |