Xiaoxia Wu - RankMe

84 papers A* 14A 7C 3Journal 54Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	CARE: Covariance-Aware and Rank-Enhanced Decomposition for Enabling Multi-Head Latent Attention. CoRR Zhongzhu Zhou, Fengxiang Bie, Ziyan Chen, Zhenyu Zhang, Yibo Yang, Junxiong Wang, Ben Athiwaratkun, Xiaoxia Wu, Shuaiwen Leon Song
2026	J	`jnl`	V CoRR Harman Singh, Xiuyu Li, Kusha Sareen, Monishwaran Maheswaran, Sijun Tan, Xiaoxia Wu, Junxiong Wang, Alpay Ariyak, Qingyang Wu, Samir Khaki, Rishabh Tiwari, Long Lian, Yucheng Lu, Boyi Li, Alane Suhr, Ben Athiwaratkun, Kurt Keutzer
2026	J	`jnl`	When RL Meets Adaptive Speculative Training: A Unified Training-Serving System. CoRR Junxiong Wang, Fengxiang Bie, Jisen Li, Zhongzhu Zhou, Zelei Shao, Yubo Wang, Yinghui Liu, Qingyang Wu, Avner May, Sri Yanamandra, Yineng Zhang, Ce Zhang, Tri Dao, Percy Liang, Ben Athiwaratkun, Shuaiwen Leon Song, Chenfeng Xu, Xiaoxia Wu
2025	J	`jnl`	Beat the long tail: Distribution-Aware Speculative Decoding for RL Training. CoRR Zelei Shao, Vikranth Srivatsa, Sanjana Srivastava, Qingyang Wu, Alpay Ariyak, Xiaoxia Wu, Ameen Patel, Jue Wang, Percy Liang, Tri Dao, Ce Zhang, Yiying Zhang, Ben Athiwaratkun, Chenfeng Xu, Junxiong Wang
2025	J	`jnl`	Imitate Optimal Policy: Prevail and Induce Action Collapse in Policy Gradient. CoRR Zhongzhu Zhou, Yibo Yang, Ziyan Chen, Fengxiang Bie, Haojun Xia, Xiaoxia Wu, Robert Wu, Ben Athiwaratkun, Bernard Ghanem, Shuaiwen Leon Song
2025	J	`jnl`	Kitty: Accurate and Efficient 2-bit KV Cache Quantization with Dynamic Channel-wise Precision Boost. CoRR Haojun Xia, Xiaoxia Wu, Jisen Li, Robert Wu, Junxiong Wang, Jue Wang, Chenxi Li, Aman Singhal, Alay Dilipbhai Shah, Alpay Ariyak, Donglin Zhuang, Zhongzhu Zhou, Ben Athiwaratkun, Zhen Zheng, Shuaiwen Leon Song
2025	J	`jnl`	RenAIssance: A Survey Into AI Text-to-Image Generation in the Era of Large Model. IEEE Trans. Pattern Anal. Mach. Intell. 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
2025	J	`jnl`	The Effects of Servitization, Digitalization, and Digital Learning Orientation on Sustainable Performance: A Hybrid PLS-SEM-ANN Model. IEEE Access Xiaoxia Wu, Yunkai Tang, Xin Fang, Yueling Xu, Sijia Qiao
2025	J	`jnl`	Understanding and Steering the Cognitive Behaviors of Reasoning Models at Test-Time. CoRR Zhenyu Zhang, Xiaoxia Wu, Zhongzhu Zhou, Qingyang Wu, Yineng Zhang, Pragaash Ponnusamy, Harikaran Subbaraj, Jue Wang, Shuaiwen Leon Song, Ben Athiwaratkun
2024	A*	`conf`	DeepSpeed Data Efficiency: Improving Deep Learning Model Quality and Training Efficiency via Efficient Data Sampling and Routing. AAAI Conglong Li, Zhewei Yao, Xiaoxia Wu, Minjia Zhang, Connor Holmes, Cheng Li, Yuxiong He
2024	A*	`conf`	Exploring Post-training Quantization in LLMs from Comprehensive Study to Low Rank Compensation. AAAI Zhewei Yao, Xiaoxia Wu, Cheng Li, Stephen Youn, Yuxiong He
2024	J	`jnl`	FP6-LLM: Efficiently Serving Large Language Models Through FP6-Centric Algorithm-System Co-Design. CoRR 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
2024	A*	`conf`	Found in the Middle: How Language Models Use Long Contexts Better via Plug-and-Play Positional Encoding. NeurIPS Zhenyu Zhang, Runjin Chen, Shiwei Liu, Zhewei Yao, Olatunji Ruwase, Beidi Chen, Xiaoxia Wu, Zhangyang Wang
2024	J	`jnl`	Found in the Middle: How Language Models Use Long Contexts Better via Plug-and-Play Positional Encoding. CoRR Zhenyu Zhang, Runjin Chen, Shiwei Liu, Zhewei Yao, Olatunji Ruwase, Beidi Chen, Xiaoxia Wu, Zhangyang Wang
2024	J	`jnl`	GRIN: GRadient-INformed MoE. CoRR 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
2024	J	`jnl`	Mojito: Motion Trajectory and Intensity Control for Video Generation. CoRR Xuehai He, Shuohang Wang, Jianwei Yang, Xiaoxia Wu, Yiping Wang, Kuan Wang, Zheng Zhan, Olatunji Ruwase, Yelong Shen, Xin Eric Wang
2024	—	`conf`	Quant-LLM: Accelerating the Serving of Large Language Models via FP6-Centric Algorithm-System Co-Design on Modern GPUs. USENIX ATC 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
2024	J	`jnl`	Removable Edges in Claw-Free Bricks. Graphs Comb. Xiaoxia Wu, Fuliang Lu, Lianzhu Zhang
2024	A*	`conf`	ZeRO++: Extremely Efficient Collective Communication for Large Model Training. ICLR Guanhua Wang, Heyang Qin, Sam Ade Jacobs, Xiaoxia Wu, Connor Holmes, Zhewei Yao, Samyam Rajbhandari, Olatunji Ruwase, Feng Yan, Lei Yang, Yuxiong He
2023	J	`jnl`	A Comprehensive Study on Post-Training Quantization for Large Language Models. CoRR Zhewei Yao, Cheng Li, Xiaoxia Wu, Stephen Youn, Yuxiong He
2023	J	`jnl`	A novel bias-alleviated hybrid ensemble model based on over-sampling and post-processing for fair classification. Connect. Sci. Fang He, Xiaoxia Wu, Wenyu Zhang, Xiaoling Huang
2023	J	`jnl`	DeepSpeed-Chat: Easy, Fast and Affordable RLHF Training of ChatGPT-like Models at All Scales. CoRR 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
2023	J	`jnl`	DeepSpeed-VisualChat: Multi-Round Multi-Image Interleave Chat via Multi-Modal Causal Attention. CoRR Zhewei Yao, Xiaoxia Wu, Conglong Li, Minjia Zhang, Heyang Qin, Olatunji Ruwase, Ammar Ahmad Awan, Samyam Rajbhandari, Yuxiong He
2023	J	`jnl`	DeepSpeed4Science Initiative: Enabling Large-Scale Scientific Discovery through Sophisticated AI System Technologies. CoRR 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 W. Schulz, Yuntian Deng, Weili Nie, Josh Romero, Christian Dallago, Arash Vahdat, Chaowei Xiao, Thomas Gibbs, Anima Anandkumar, Rick Stevens
2023	J	`jnl`	RenAIssance: A Survey into AI Text-to-Image Generation in the Era of Large Model. CoRR 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
2023	J	`jnl`	Understanding INT4 Quantization for Transformer Models: Latency Speedup, Composability, and Failure Cases. CoRR Xiaoxia Wu, Cheng Li, Reza Yazdani Aminabadi, Zhewei Yao, Yuxiong He
2023	A*	`conf`	Understanding Int4 Quantization for Language Models: Latency Speedup, Composability, and Failure Cases. ICML Xiaoxia Wu, Cheng Li, Reza Yazdani Aminabadi, Zhewei Yao, Yuxiong He
2023	J	`jnl`	ZeroQuant(4+2): Redefining LLMs Quantization with a New FP6-Centric Strategy for Diverse Generative Tasks. CoRR 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
2023	J	`jnl`	ZeroQuant-FP: A Leap Forward in LLMs Post-Training W4A8 Quantization Using Floating-Point Formats. CoRR Xiaoxia Wu, Zhewei Yao, Yuxiong He
2023	J	`jnl`	ZeroQuant-HERO: Hardware-Enhanced Robust Optimized Post-Training Quantization Framework for W8A8 Transformers. CoRR Zhewei Yao, Reza Yazdani Aminabadi, Stephen Youn, Xiaoxia Wu, Elton Zheng, Yuxiong He
2022	A*	`conf`	AdaLoss: A Computationally-Efficient and Provably Convergent Adaptive Gradient Method. AAAI Xiaoxia Wu, Yuege Xie, Simon Shaolei Du, Rachel A. Ward
2022	J	`jnl`	DeepSpeed Data Efficiency: Improving Deep Learning Model Quality and Training Efficiency via Efficient Data Sampling and Routing. CoRR Conglong Li, Zhewei Yao, Xiaoxia Wu, Minjia Zhang, Connor Holmes, Cheng Li, Yuxiong He
2022	J	`jnl`	Extreme Compression for Pre-trained Transformers Made Simple and Efficient. CoRR Xiaoxia Wu, Zhewei Yao, Minjia Zhang, Conglong Li, Yuxiong He
2022	J	`jnl`	Random-LTD: Random and Layerwise Token Dropping Brings Efficient Training for Large-scale Transformers. CoRR Zhewei Yao, Xiaoxia Wu, Conglong Li, Connor Holmes, Minjia Zhang, Cheng Li, Yuxiong He
2022	A*	`conf`	XTC: Extreme Compression for Pre-trained Transformers Made Simple and Efficient. NeurIPS Xiaoxia Wu, Zhewei Yao, Minjia Zhang, Conglong Li, Yuxiong He
2022	A*	`conf`	ZeroQuant: Efficient and Affordable Post-Training Quantization for Large-Scale Transformers. NeurIPS Zhewei Yao, Reza Yazdani Aminabadi, Minjia Zhang, Xiaoxia Wu, Conglong Li, Yuxiong He
2022	J	`jnl`	ZeroQuant: Efficient and Affordable Post-Training Quantization for Large-Scale Transformers. CoRR Zhewei Yao, Reza Yazdani Aminabadi, Minjia Zhang, Xiaoxia Wu, Conglong Li, Yuxiong He
2021	J	`jnl`	AdaLoss: A computationally-efficient and provably convergent adaptive gradient method. CoRR Xiaoxia Wu, Yuege Xie, Simon S. Du, Rachel A. Ward
2021	J	`jnl`	Adaptive Differentially Private Empirical Risk Minimization. CoRR Xiaoxia Wu, Lingxiao Wang, Irina Cristali, Quanquan Gu, Rebecca Willett
2021	J	`jnl`	Hierarchical Learning for Generation with Long Source Sequences. CoRR Tobias Rohde, Xiaoxia Wu, Yinhan Liu
2021	A*	`conf`	When Do Curricula Work? ICLR Xiaoxia Wu, Ethan Dyer, Behnam Neyshabur
2020	A	`conf`	Choosing the Sample with Lowest Loss makes SGD Robust. AISTATS Vatsal Shah, Xiaoxia Wu, Sujay Sanghavi
2020	J	`jnl`	Choosing the Sample with Lowest Loss makes SGD Robust. CoRR Vatsal Shah, Xiaoxia Wu, Sujay Sanghavi
2020	A*	`conf`	Implicit Regularization and Convergence for Weight Normalization. NeurIPS Xiaoxia Wu, Edgar Dobriban, Tongzheng Ren, Shanshan Wu, Zhiyuan Li, Suriya Gunasekar, Rachel A. Ward, Qiang Liu
2020	A	`conf`	Linear Convergence of Adaptive Stochastic Gradient Descent. AISTATS Yuege Xie, Xiaoxia Wu, Rachel A. Ward
2020	J	`jnl`	When Do Curricula Work? CoRR Xiaoxia Wu, Ethan Dyer, Behnam Neyshabur
2019	A*	`conf`	AdaGrad stepsizes: sharp convergence over nonconvex landscapes. ICML Rachel A. Ward, Xiaoxia Wu, Léon Bottou
2019	J	`jnl`	Global Convergence of Adaptive Gradient Methods for An Over-parameterized Neural Network. CoRR Xiaoxia Wu, Simon S. Du, Rachel A. Ward
2019	J	`jnl`	Implicit Regularization of Normalization Methods. CoRR Xiaoxia Wu, Edgar Dobriban, Tongzheng Ren, Shanshan Wu, Zhiyuan Li, Suriya Gunasekar, Rachel A. Ward, Qiang Liu
2019	J	`jnl`	Linear Convergence of Adaptive Stochastic Gradient Descent. CoRR Yuege Xie, Xiaoxia Wu, Rachel A. Ward
2019	J	`jnl`	On structural properties of Appl. Math. Comput. Xiaoxia Wu, Lianzhu Zhang
2019	—	`conf`	Research on the Development Trend and Coping Strategies of Internet Finance. CSIA Xiaoxia Wu, Heyu Xiao
2018	J	`jnl`	AdaGrad stepsizes: Sharp convergence over nonconvex landscapes, from any initialization. CoRR Rachel A. Ward, Xiaoxia Wu, Léon Bottou
2018	J	`jnl`	Methionine-Capped Gold Nanoclusters as a Fluorescence-Enhanced Probe for Cadmium(II) Sensing. Sensors Yan Peng, Maomao Wang, Xiaoxia Wu, Fu Wang, Lang Liu
2018	J	`jnl`	Toward Transport Ecosystem Interoperability Enabled by Vendor-Diverse Coherent Optical Sources Over an Open Line System. JOCN Mark Filer, Hacene Chaouch, Xiaoxia Wu
2018	J	`jnl`	WNGrad: Learn the Learning Rate in Gradient Descent. CoRR Xiaoxia Wu, Rachel A. Ward, Léon Bottou
2017	—	`conf`	Interoperation of layer-2/3 modular switches with 8QAM/16QAM integrated coherent optics over 2000 km open line system. OFC Mark Filer, Hacene Chaouch, Xiaoxia Wu, Jamie Gaudette, Jeffrey L. Cox
2017	J	`jnl`	Spanning trees and recurrent configurations of a graph. Appl. Math. Comput. Xiaoxia Wu, Lianzhu Zhang, Haiyan Chen
2014	J	`jnl`	A 130.7-mm IEEE J. Solid State Circuits 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
2014	J	`jnl`	Height Probabilities in the Abelian Sandpile Model on the Generalized Trees. Ars Comb. Xiaoxia Wu, Lian-zhu Zhang, Hawei Dong, Chengfu Qin
2013	—	`conf`	A 130.7mm ISSCC 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
2012	J	`jnl`	Electrical Characterization for Intertier Connections and Timing Analysis for 3-D ICs. IEEE Trans. Very Large Scale Integr. Syst. Xiaoxia Wu, Wei Zhao, Mark Nakamoto, Chandra Nimmagadda, Durodami Lisk, Sam Gu, Riko Radojcic, Matt Nowak, Yuan Xie
2012	J	`jnl`	Estimating the Proportion of True Null Hypotheses in Nonparametric Exponential Mixture Model with Appication to the Leukemia Gene Expression Data. Commun. Stat. Simul. Comput. Hualing Zhao, Xiaoxia Wu, Hong Zhang, Hanfeng Chen
2012	J	`jnl`	Small Randic Index Ordering of Trees with k Pendant Vertices. Ars Comb. Xiaoxia Wu, Lian-zhu Zhang
2011	J	`jnl`	Optical logic elementary circuits. IET Circuits Devices Syst. Antonella Bogoni, Luca Potì, Alan E. Willner, Paolo Ghelfi, Claudio Porzi, Mirco Scaffardi, Gianluca Meloni, Gianluca Berrettini, Francesco Fresi, Emma Lazzeri, Xiaoxia Wu
2011	J	`jnl`	Stacking magnetic random access memory atop microprocessors: an architecture-level evaluation. IET Comput. Digit. Tech. Xiangyu Dong, Xiaoxia Wu, Yuan Xie, Yiran Chen, Hai (Helen) Li
2011	J	`jnl`	Variation-Aware Task and Communication Mapping for MPSoC Architecture. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Feng Wang, Yibo Chen, Chrysostomos Nicopoulos, Xiaoxia Wu, Yuan Xie, Narayanan Vijaykrishnan
2010	A*	`conf`	Cost-driven 3D integration with interconnect layers. DAC Xiaoxia Wu, Guangyu Sun, Xiangyu Dong, Reetuparna Das, Yuan Xie, Chita R. Das, Jian Li
2010	J	`jnl`	Design exploration of hybrid caches with disparate memory technologies. ACM Trans. Archit. Code Optim. Xiaoxia Wu, Jian Li, Lixin Zhang, Evan Speight, Ramakrishnan Rajamony, Yuan Xie
2010	J	`jnl`	Test-access mechanism optimization for core-based three-dimensional SOCs. Microelectron. J. Xiaoxia Wu, Yibo Chen, Krishnendu Chakrabarty, Yuan Xie
2009	A	`conf`	Exploration of 3D stacked L2 cache design for high performance and efficient thermal control. ISLPED Guangyu Sun, Xiaoxia Wu, Yuan Xie
2009	A*	`conf`	Hybrid cache architecture with disparate memory technologies. ISCA Xiaoxia Wu, Jian Li, Lixin Zhang, Evan Speight, Ramakrishnan Rajamony, Yuan Xie
2009	A	`conf`	Power and performance of read-write aware Hybrid Caches with non-volatile memories. DATE Xiaoxia Wu, Jian Li, Lixin Zhang, Evan Speight, Yuan Xie
2009	J	`jnl`	Scan-chain design and optimization for three-dimensional integrated circuits. ACM J. Emerg. Technol. Comput. Syst. Xiaoxia Wu, Paul Falkenstern, Krishnendu Chakrabarty, Yuan Xie
2008	A*	`conf`	Circuit and microarchitecture evaluation of 3D stacking magnetic RAM (MRAM) as a universal memory replacement. DAC Xiangyu Dong, Xiaoxia Wu, Guangyu Sun, Yuan Xie, Hai Li, Yiran Chen
2008	C	`conf`	Comparative analysis of NBTI effects on low power and high performance flip-flops. ICCD Krishnan Ramakrishnan, Xiaoxia Wu, Narayanan Vijaykrishnan, Yuan Xie
2008	A	`conf`	Test-Access Solutions for Three-Dimensional SOCs. ITC Xiaoxia Wu, Yibo Chen, Krishnendu Chakrabarty, Yuan Xie
2008	C	`conf`	Test-access mechanism optimization for core-based three-dimensional SOCs. ICCD Xiaoxia Wu, Yibo Chen, Krishnendu Chakrabarty, Yuan Xie
2008	—	`conf`	Variability-driven module selection with joint design time optimization and post-silicon tuning. ASP-DAC Feng Wang, Xiaoxia Wu, Yuan Xie
2007	J	`jnl`	On-chip bus thermal analysis and optimisation. IET Comput. Digit. Tech. Feng Wang, Michael DeBole, Xiaoxia Wu, Yuan Xie, Narayanan Vijaykrishnan, Mary Jane Irwin
2007	C	`conf`	Scan chain design for three-dimensional integrated circuits (3D ICs). ICCD Xiaoxia Wu, Paul Falkenstern, Yuan Xie
2007	A	`conf`	Variation-aware task allocation and scheduling for MPSoC. ICCAD Feng Wang, Chrysostomos Nicopoulos, Xiaoxia Wu, Yuan Xie, Narayanan Vijaykrishnan
2006	—	`conf`	Analysis of Subthreshold Finfet Circuits for Ultra-Low Power Design. SoCC Xiaoxia Wu, Feng Wang, Yuan Xie
2006	A	`conf`	Guaranteeing performance yield in high-level synthesis. ICCAD Wei-Lun Hung, Xiaoxia Wu, Yuan Xie