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2020 – today
- 2024
[j18]Xiaoxia Wu, Fuliang Lu, Lianzhu Zhang:
Removable Edges in Claw-Free Bricks. Graphs Comb. 40(3): 43 (2024)- [c29]Conglong Li, Zhewei Yao, Xiaoxia Wu, Minjia Zhang, Connor Holmes, Cheng Li, Yuxiong He:
DeepSpeed Data Efficiency: Improving Deep Learning Model Quality and Training Efficiency via Efficient Data Sampling and Routing. AAAI 2024: 18490-18498 - [c28]Zhewei Yao, Xiaoxia Wu, Cheng Li, Stephen Youn, Yuxiong He:
Exploring Post-training Quantization in LLMs from Comprehensive Study to Low Rank Compensation. AAAI 2024: 19377-19385 - [c27]Guanhua Wang, Heyang Qin, Sam Ade Jacobs, Xiaoxia Wu, Connor Holmes, Zhewei Yao, Samyam Rajbhandari, Olatunji Ruwase, Feng Yan, Lei Yang, Yuxiong He:
ZeRO++: Extremely Efficient Collective Communication for Large Model Training. ICLR 2024 - [c26]Haojun Xia, Zhen Zheng, Xiaoxia Wu, Shiyang Chen, Zhewei Yao, Stephen Youn, Arash Bakhtiari, Michael Wyatt, Donglin Zhuang, Zhongzhu Zhou, Olatunji Ruwase, Yuxiong He, Shuaiwen Leon Song:
Quant-LLM: Accelerating the Serving of Large Language Models via FP6-Centric Algorithm-System Co-Design on Modern GPUs. USENIX ATC 2024: 699-713 - [i26]Haojun Xia, Zhen Zheng, Xiaoxia Wu, Shiyang Chen, Zhewei Yao, Stephen Youn, Arash Bakhtiari, Michael Wyatt, Donglin Zhuang, Zhongzhu Zhou, Olatunji Ruwase, Yuxiong He, Shuaiwen Leon Song:
FP6-LLM: Efficiently Serving Large Language Models Through FP6-Centric Algorithm-System Co-Design. CoRR abs/2401.14112 (2024) - [i25]Zhenyu Zhang, Runjin Chen, Shiwei Liu, Zhewei Yao, Olatunji Ruwase, Beidi Chen, Xiaoxia Wu, Zhangyang Wang:
Found in the Middle: How Language Models Use Long Contexts Better via Plug-and-Play Positional Encoding. CoRR abs/2403.04797 (2024) - [i24]Liyuan Liu, Young Jin Kim, Shuohang Wang, Chen Liang, Yelong Shen, Hao Cheng, Xiaodong Liu, Masahiro Tanaka, Xiaoxia Wu, Wenxiang Hu, Vishrav Chaudhary, Zeqi Lin, Chengruidong Zhang, Jilong Xue, Hany Awadalla, Jianfeng Gao, Weizhu Chen:
GRIN: GRadient-INformed MoE. CoRR abs/2409.12136 (2024) - 2023
- [j17]Fang He, Xiaoxia Wu, Wenyu Zhang, Xiaoling Huang:
A novel bias-alleviated hybrid ensemble model based on over-sampling and post-processing for fair classification. Connect. Sci. 35(1) (2023) - [c25]Xiaoxia Wu, Cheng Li, Reza Yazdani Aminabadi, Zhewei Yao, Yuxiong He:
Understanding Int4 Quantization for Language Models: Latency Speedup, Composability, and Failure Cases. ICML 2023: 37524-37539 - [i23]Xiaoxia Wu, Cheng Li, Reza Yazdani Aminabadi, Zhewei Yao, Yuxiong He:
Understanding INT4 Quantization for Transformer Models: Latency Speedup, Composability, and Failure Cases. CoRR abs/2301.12017 (2023) - [i22]Zhewei Yao, Cheng Li, Xiaoxia Wu, Stephen Youn, Yuxiong He:
A Comprehensive Study on Post-Training Quantization for Large Language Models. CoRR abs/2303.08302 (2023) - [i21]Xiaoxia Wu, Zhewei Yao, Yuxiong He:
ZeroQuant-FP: A Leap Forward in LLMs Post-Training W4A8 Quantization Using Floating-Point Formats. CoRR abs/2307.09782 (2023) - [i20]Zhewei Yao, Reza Yazdani Aminabadi, Olatunji Ruwase, Samyam Rajbhandari, Xiaoxia Wu, Ammar Ahmad Awan, Jeff Rasley, Minjia Zhang, Conglong Li, Connor Holmes, Zhongzhu Zhou, Michael Wyatt, Molly Smith, Lev Kurilenko, Heyang Qin, Masahiro Tanaka, Shuai Che, Shuaiwen Leon Song, Yuxiong He:
DeepSpeed-Chat: Easy, Fast and Affordable RLHF Training of ChatGPT-like Models at All Scales. CoRR abs/2308.01320 (2023) - [i19]Fengxiang Bie, Yibo Yang, Zhongzhu Zhou, Adam Ghanem, Minjia Zhang, Zhewei Yao, Xiaoxia Wu, Connor Holmes, Pareesa Ameneh Golnari, David A. Clifton, Yuxiong He, Dacheng Tao, Shuaiwen Leon Song:
RenAIssance: A Survey into AI Text-to-Image Generation in the Era of Large Model. CoRR abs/2309.00810 (2023) - [i18]Zhewei Yao, Xiaoxia Wu, Conglong Li, Minjia Zhang, Heyang Qin, Olatunji Ruwase, Ammar Ahmad Awan, Samyam Rajbhandari, Yuxiong He:
DeepSpeed-VisualChat: Multi-Round Multi-Image Interleave Chat via Multi-Modal Causal Attention. CoRR abs/2309.14327 (2023) - [i17]Shuaiwen Leon Song, Bonnie Kruft, Minjia Zhang, Conglong Li, Shiyang Chen, Chengming Zhang, Masahiro Tanaka, Xiaoxia Wu, Jeff Rasley, Ammar Ahmad Awan, Connor Holmes, Martin Cai, Adam Ghanem, Zhongzhu Zhou, Yuxiong He, Pete Luferenko, Divya Kumar, Jonathan A. Weyn, Ruixiong Zhang, Sylwester Klocek, Volodymyr Vragov, Mohammed AlQuraishi, Gustaf Ahdritz, Christina Floristean, Cristina Negri, Rao Kotamarthi, Venkatram Vishwanath, Arvind Ramanathan, Sam Foreman, Kyle Hippe, Troy Arcomano, Romit Maulik, Maxim Zvyagin, Alexander Brace, Bin Zhang, Cindy Orozco Bohorquez, Austin Clyde, Bharat Kale, Danilo Perez-Rivera, Heng Ma, Carla M. Mann
, Michael W. Irvin, J. Gregory Pauloski, Logan T. Ward, Valérie Hayot-Sasson, Murali Emani, Zhen Xie, Diangen Lin, Maulik Shukla, Ian T. Foster, James J. Davis, Michael E. Papka, Thomas S. Brettin, Prasanna Balaprakash, Gina Tourassi, John Gounley, Heidi A. Hanson, Thomas E. Potok, Massimiliano Lupo Pasini, Kate Evans, Dan Lu, Dalton D. Lunga, Junqi Yin, Sajal Dash, Feiyi Wang, Mallikarjun Shankar, Isaac Lyngaas, Xiao Wang, Guojing Cong, Pei Zhang, Ming Fan, Siyan Liu, Adolfy Hoisie, Shinjae Yoo, Yihui Ren, William Tang, Kyle Felker, Alexey Svyatkovskiy, Hang Liu, Ashwin M. Aji, Angela Dalton, Michael J. Schulte, Karl Schulz, Yuntian Deng, Weili Nie, Josh Romero, Christian Dallago, Arash Vahdat, Chaowei Xiao, Thomas Gibbs, Anima Anandkumar, Rick Stevens:
DeepSpeed4Science Initiative: Enabling Large-Scale Scientific Discovery through Sophisticated AI System Technologies. CoRR abs/2310.04610 (2023) - [i16]Zhewei Yao, Reza Yazdani Aminabadi, Stephen Youn, Xiaoxia Wu, Elton Zheng, Yuxiong He:
ZeroQuant-HERO: Hardware-Enhanced Robust Optimized Post-Training Quantization Framework for W8A8 Transformers. CoRR abs/2310.17723 (2023) - [i15]Xiaoxia Wu, Haojun Xia, Stephen Youn, Zhen Zheng, Shiyang Chen, Arash Bakhtiari, Michael Wyatt, Reza Yazdani Aminabadi, Yuxiong He, Olatunji Ruwase, Leon Song, Zhewei Yao:
ZeroQuant(4+2): Redefining LLMs Quantization with a New FP6-Centric Strategy for Diverse Generative Tasks. CoRR abs/2312.08583 (2023) - 2022
- [c24]Xiaoxia Wu, Yuege Xie, Simon Shaolei Du, Rachel A. Ward:
AdaLoss: A Computationally-Efficient and Provably Convergent Adaptive Gradient Method. AAAI 2022: 8691-8699 - [c23]Xiaoxia Wu, Zhewei Yao, Minjia Zhang, Conglong Li, Yuxiong He:
XTC: Extreme Compression for Pre-trained Transformers Made Simple and Efficient. NeurIPS 2022 - [c22]Zhewei Yao, Reza Yazdani Aminabadi, Minjia Zhang, Xiaoxia Wu, Conglong Li, Yuxiong He:
ZeroQuant: Efficient and Affordable Post-Training Quantization for Large-Scale Transformers. NeurIPS 2022 - [i14]Xiaoxia Wu, Zhewei Yao, Minjia Zhang, Conglong Li, Yuxiong He:
Extreme Compression for Pre-trained Transformers Made Simple and Efficient. CoRR abs/2206.01859 (2022) - [i13]Zhewei Yao, Reza Yazdani Aminabadi, Minjia Zhang, Xiaoxia Wu, Conglong Li, Yuxiong He:
ZeroQuant: Efficient and Affordable Post-Training Quantization for Large-Scale Transformers. CoRR abs/2206.01861 (2022) - [i12]Zhewei Yao, Xiaoxia Wu, Conglong Li, Connor Holmes, Minjia Zhang, Cheng Li, Yuxiong He:
Random-LTD: Random and Layerwise Token Dropping Brings Efficient Training for Large-scale Transformers. CoRR abs/2211.11586 (2022) - [i11]Conglong Li, Zhewei Yao, Xiaoxia Wu, Minjia Zhang, Yuxiong He:
DeepSpeed Data Efficiency: Improving Deep Learning Model Quality and Training Efficiency via Efficient Data Sampling and Routing. CoRR abs/2212.03597 (2022) - 2021
- [c21]Xiaoxia Wu, Ethan Dyer, Behnam Neyshabur:
When Do Curricula Work? ICLR 2021 - [i10]Tobias Rohde, Xiaoxia Wu, Yinhan Liu:
Hierarchical Learning for Generation with Long Source Sequences. CoRR abs/2104.07545 (2021) - [i9]Xiaoxia Wu, Yuege Xie, Simon S. Du, Rachel A. Ward:
AdaLoss: A computationally-efficient and provably convergent adaptive gradient method. CoRR abs/2109.08282 (2021) - [i8]Xiaoxia Wu, Lingxiao Wang, Irina Cristali, Quanquan Gu, Rebecca Willett:
Adaptive Differentially Private Empirical Risk Minimization. CoRR abs/2110.07435 (2021) - 2020
- [c20]Yuege Xie, Xiaoxia Wu, Rachel A. Ward:
Linear Convergence of Adaptive Stochastic Gradient Descent. AISTATS 2020: 1475-1485 - [c19]Vatsal Shah, Xiaoxia Wu, Sujay Sanghavi:
Choosing the Sample with Lowest Loss makes SGD Robust. AISTATS 2020: 2120-2130 - [c18]Xiaoxia Wu, Edgar Dobriban, Tongzheng Ren, Shanshan Wu, Zhiyuan Li, Suriya Gunasekar, Rachel A. Ward, Qiang Liu:
Implicit Regularization and Convergence for Weight Normalization. NeurIPS 2020 - [i7]Vatsal Shah, Xiaoxia Wu, Sujay Sanghavi:
Choosing the Sample with Lowest Loss makes SGD Robust. CoRR abs/2001.03316 (2020) - [i6]Xiaoxia Wu, Ethan Dyer, Behnam Neyshabur:
When Do Curricula Work? CoRR abs/2012.03107 (2020)
2010 – 2019
- 2019
- [j16]Xiaoxia Wu, Lianzhu Zhang:
On structural properties of ABC-minimal chemical trees. Appl. Math. Comput. 362 (2019) - [c17]Xiaoxia Wu, Heyu Xiao:
Research on the Development Trend and Coping Strategies of Internet Finance. CSIA 2019: 543-549 - [c16]Rachel A. Ward, Xiaoxia Wu, Léon Bottou:
AdaGrad stepsizes: sharp convergence over nonconvex landscapes. ICML 2019: 6677-6686 - [i5]Xiaoxia Wu, Simon S. Du, Rachel A. Ward:
Global Convergence of Adaptive Gradient Methods for An Over-parameterized Neural Network. CoRR abs/1902.07111 (2019) - [i4]Yuege Xie, Xiaoxia Wu, Rachel A. Ward:
Linear Convergence of Adaptive Stochastic Gradient Descent. CoRR abs/1908.10525 (2019) - [i3]Xiaoxia Wu, Edgar Dobriban, Tongzheng Ren, Shanshan Wu, Zhiyuan Li, Suriya Gunasekar, Rachel A. Ward, Qiang Liu:
Implicit Regularization of Normalization Methods. CoRR abs/1911.07956 (2019) - 2018
- [j15]Mark Filer, Hacene Chaouch, Xiaoxia Wu:
Toward Transport Ecosystem Interoperability Enabled by Vendor-Diverse Coherent Optical Sources Over an Open Line System. JOCN 10(2): A216-A224 (2018) - [j14]Yan Peng, Maomao Wang, Xiaoxia Wu, Fu Wang, Lang Liu:
Methionine-Capped Gold Nanoclusters as a Fluorescence-Enhanced Probe for Cadmium(II) Sensing. Sensors 18(2): 658 (2018) - [i2]Xiaoxia Wu, Rachel A. Ward, Léon Bottou:
WNGrad: Learn the Learning Rate in Gradient Descent. CoRR abs/1803.02865 (2018) - [i1]Rachel A. Ward, Xiaoxia Wu, Léon Bottou:
AdaGrad stepsizes: Sharp convergence over nonconvex landscapes, from any initialization. CoRR abs/1806.01811 (2018) - 2017
- [j13]Xiaoxia Wu, Lianzhu Zhang, Haiyan Chen:
Spanning trees and recurrent configurations of a graph. Appl. Math. Comput. 314: 25-30 (2017) - [c15]Mark Filer, Hacene Chaouch, Xiaoxia Wu, Jamie Gaudette, Jeffrey L. Cox:
Interoperation of layer-2/3 modular switches with 8QAM/16QAM integrated coherent optics over 2000 km open line system. OFC 2017: 1-3 - 2014
- [j12]Xiaoxia Wu, Lian-zhu Zhang, Hawei Dong, Chengfu Qin:
Height Probabilities in the Abelian Sandpile Model on the Generalized Trees. Ars Comb. 117: 191-216 (2014) - [j11]Tz-Yi Liu, Tian Hong Yan, Roy Scheuerlein, Yingchang Chen, Jeffrey KoonYee Lee, Gopinath Balakrishnan, Gordon Yee, Henry Zhang, Alex Yap, Jingwen Ouyang, Takahiko Sasaki, Ali Al-Shamma, Chin-Yu Chen, Mayank Gupta, Greg Hilton, Achal Kathuria, Vincent Lai, Masahide Matsumoto, Anurag Nigam, Anil Pai, Jayesh Pakhale, Chang Hua Siau, Xiaoxia Wu, Yibo Yin, Nicolas Nagel, Yoichiro Tanaka, Masaaki Higashitani, Tim Minvielle, Chandu Gorla, Takayuki Tsukamoto, Takeshi Yamaguchi, Mutsumi Okajima, Takayuki Okamura, Satoru Takase, Hirofumi Inoue, Luca Fasoli:
A 130.7-mm2 2-Layer 32-Gb ReRAM Memory Device in 24-nm Technology. IEEE J. Solid State Circuits 49(1): 140-153 (2014) - 2013
- [c14]Tz-Yi Liu, Tian Hong Yan, Roy Scheuerlein, Yingchang Chen, Jeffrey KoonYee Lee, Gopinath Balakrishnan, Gordon Yee, Henry Zhang, Alex Yap, Jingwen Ouyang, Takahiko Sasaki, Sravanti Addepalli, Ali Al-Shamma, Chin-Yu Chen, Mayank Gupta, Greg Hilton, Saurabh Joshi, Achal Kathuria, Vincent Lai, Deep Masiwal, Masahide Matsumoto, Anurag Nigam, Anil Pai, Jayesh Pakhale, Chang Hua Siau, Xiaoxia Wu, Ronald Yin, Liping Peng, Jang Yong Kang, Sharon Huynh, Huijuan Wang, Nicolas Nagel, Yoichiro Tanaka, Masaaki Higashitani, Tim Minvielle, Chandu Gorla, Takayuki Tsukamoto, Takeshi Yamaguchi, Mutsumi Okajima, Takayuki Okamura, Satoru Takase, Takahiko Hara, Hirofumi Inoue, Luca Fasoli, Mehrdad Mofidi, Ritu Shrivastava, Khandker Quader:
A 130.7mm2 2-layer 32Gb ReRAM memory device in 24nm technology. ISSCC 2013: 210-211 - 2012
- [j10]Xiaoxia Wu, Lian-zhu Zhang:
Small Randic Index Ordering of Trees with k Pendant Vertices. Ars Comb. 103: 289-304 (2012) - [j9]Hualing Zhao, Xiaoxia Wu, Hong Zhang, Hanfeng Chen:
Estimating the Proportion of True Null Hypotheses in Nonparametric Exponential Mixture Model with Appication to the Leukemia Gene Expression Data. Commun. Stat. Simul. Comput. 41(9): 1580-1592 (2012) - [j8]Xiaoxia Wu, Wei Zhao, Mark Nakamoto, Chandra Nimmagadda, Durodami Lisk, Sam Gu, Riko Radojcic, Matt Nowak, Yuan Xie:
Electrical Characterization for Intertier Connections and Timing Analysis for 3-D ICs. IEEE Trans. Very Large Scale Integr. Syst. 20(1): 186-191 (2012) - 2011
- [j7]Antonella Bogoni, Luca Potì, Alan E. Willner, Paolo Ghelfi, Claudio Porzi, Mirco Scaffardi, Gianluca Meloni, Gianluca Berrettini, Francesco Fresi, Emma Lazzeri, Xiaoxia Wu:
Optical logic elementary circuits. IET Circuits Devices Syst. 5(2): 76-83 (2011) - [j6]Xiangyu Dong, Xiaoxia Wu, Yuan Xie, Yiran Chen, Hai (Helen) Li:
Stacking magnetic random access memory atop microprocessors: an architecture-level evaluation. IET Comput. Digit. Tech. 5(3): 213-220 (2011) - [j5]Feng Wang, Yibo Chen, Chrysostomos Nicopoulos, Xiaoxia Wu, Yuan Xie, Narayanan Vijaykrishnan:
Variation-Aware Task and Communication Mapping for MPSoC Architecture. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 30(2): 295-307 (2011) - 2010
- [j4]Xiaoxia Wu, Yibo Chen, Krishnendu Chakrabarty, Yuan Xie:
Test-access mechanism optimization for core-based three-dimensional SOCs. Microelectron. J. 41(10): 601-615 (2010) - [j3]Xiaoxia Wu, Jian Li, Lixin Zhang, Evan Speight, Ramakrishnan Rajamony, Yuan Xie:
Design exploration of hybrid caches with disparate memory technologies. ACM Trans. Archit. Code Optim. 7(3): 15:1-15:34 (2010) - [c13]Xiaoxia Wu, Guangyu Sun, Xiangyu Dong, Reetuparna Das, Yuan Xie, Chita R. Das, Jian Li:
Cost-driven 3D integration with interconnect layers. DAC 2010: 150-155
2000 – 2009
- 2009
- [j2]Xiaoxia Wu, Paul Falkenstern, Krishnendu Chakrabarty, Yuan Xie:
Scan-chain design and optimization for three-dimensional integrated circuits. ACM J. Emerg. Technol. Comput. Syst. 5(2): 9:1-9:26 (2009) - [c12]Xiaoxia Wu, Jian Li, Lixin Zhang, Evan Speight, Yuan Xie:
Power and performance of read-write aware Hybrid Caches with non-volatile memories. DATE 2009: 737-742 - [c11]Xiaoxia Wu, Jian Li, Lixin Zhang, Evan Speight, Ramakrishnan Rajamony, Yuan Xie:
Hybrid cache architecture with disparate memory technologies. ISCA 2009: 34-45 - [c10]Guangyu Sun, Xiaoxia Wu, Yuan Xie:
Exploration of 3D stacked L2 cache design for high performance and efficient thermal control. ISLPED 2009: 295-298 - 2008
- [c9]Feng Wang, Xiaoxia Wu, Yuan Xie:
Variability-driven module selection with joint design time optimization and post-silicon tuning. ASP-DAC 2008: 2-9 - [c8]Xiangyu Dong, Xiaoxia Wu, Guangyu Sun, Yuan Xie, Hai Li, Yiran Chen:
Circuit and microarchitecture evaluation of 3D stacking magnetic RAM (MRAM) as a universal memory replacement. DAC 2008: 554-559 - [c7]Krishnan Ramakrishnan, Xiaoxia Wu, Narayanan Vijaykrishnan, Yuan Xie:
Comparative analysis of NBTI effects on low power and high performance flip-flops. ICCD 2008: 200-205 - [c6]Xiaoxia Wu, Yibo Chen, Krishnendu Chakrabarty, Yuan Xie:
Test-access mechanism optimization for core-based three-dimensional SOCs. ICCD 2008: 212-218 - [c5]Xiaoxia Wu, Yibo Chen, Krishnendu Chakrabarty, Yuan Xie:
Test-Access Solutions for Three-Dimensional SOCs. ITC 2008: 1 - 2007
- [j1]Feng Wang, Michael DeBole, Xiaoxia Wu, Yuan Xie, Narayanan Vijaykrishnan, Mary Jane Irwin:
On-chip bus thermal analysis and optimisation. IET Comput. Digit. Tech. 1(5): 590-599 (2007) - [c4]Feng Wang, Chrysostomos Nicopoulos, Xiaoxia Wu, Yuan Xie, Narayanan Vijaykrishnan:
Variation-aware task allocation and scheduling for MPSoC. ICCAD 2007: 598-603 - [c3]Xiaoxia Wu, Paul Falkenstern, Yuan Xie:
Scan chain design for three-dimensional integrated circuits (3D ICs). ICCD 2007: 208-214 - 2006
- [c2]Wei-Lun Hung, Xiaoxia Wu, Yuan Xie:
Guaranteeing performance yield in high-level synthesis. ICCAD 2006: 303-309 - [c1]Xiaoxia Wu, Feng Wang, Yuan Xie:
Analysis of Subthreshold Finfet Circuits for Ultra-Low Power Design. SoCC 2006: 91-92
Coauthor Index
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