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Ruiqi Guo
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2024
- [c32]Zhiheng Yue, Huizheng Wang, Jiahao Fang, Jinyi Deng, Guangyang Lu, Fengbin Tu, Ruiqi Guo, Yuxuan Li, Yubin Qin, Yang Wang, Chao Li, Huiming Han, Shaojun Wei, Yang Hu, Shouyi Yin:
Exploiting Similarity Opportunities of Emerging Vision AI Models on Hybrid Bonding Architecture. ISCA 2024: 396-409 - [c31]Ruiqi Guo
, Lei Wang, Xiaofeng Chen, Hao Sun, Zhiheng Yue, Yubin Qin, Huiming Han, Yang Wang, Fengbin Tu, Shaojun Wei, Yang Hu, Shouyi Yin:
20.2 A 28nm 74.34TFLOPS/W BF16 Heterogenous CIM-Based Accelerator Exploiting Denoising-Similarity for Diffusion Models. ISSCC 2024: 362-364 - [c30]Yang Wang, Xiaolong Yang, Yubin Qin, Zhiren Zhao, Ruiqi Guo, Zhiheng Yue, Huiming Han, Shaojun Wei, Yang Hu, Shouyi Yin:
34.1 A 28nm 83.23TFLOPS/W POSIT-Based Compute-in-Memory Macro for High-Accuracy AI Applications. ISSCC 2024: 566-568 - [i18]Philip Sun, David Simcha, Dave Dopson, Ruiqi Guo, Sanjiv Kumar:
SOAR: Improved Indexing for Approximate Nearest Neighbor Search. CoRR abs/2404.00774 (2024) - 2023
- [j10]Ruiqi Guo
, Zhiheng Yue
, Xin Si
, Hao Li, Te Hu, Limei Tang, Yabing Wang, Hao Sun, Leibo Liu
, Meng-Fan Chang
, Qiang Li
, Shaojun Wei
, Shouyi Yin
:
TT@CIM: A Tensor-Train In-Memory-Computing Processor Using Bit-Level-Sparsity Optimization and Variable Precision Quantization. IEEE J. Solid State Circuits 58(3): 852-866 (2023) - [c29]Xiaofeng Chen, Ruiqi Guo, Zhiheng Yue, Yang Hu, Leibo Liu, Shaojun Wei, Shouyi Yin:
A Systolic Computing-in-Memory Array based Accelerator with Predictive Early Activation for Spatiotemporal Convolutions. AICAS 2023: 1-5 - [c28]Ruiqi Guo
, Yang Wang, Xiaofeng Chen, Lei Wang, Hao Sun, Jingchuan Wei, Leibo Liu, Shaojun Wei, Yang Hu, Shouyi Yin:
CIMFormer: A 38.9TOPS/W-8b Systolic CIM-Array Based Transformer Processor with Token-Slimmed Attention Reformulating and Principal Possibility Gathering. A-SSCC 2023: 1-3 - [c27]Zonglin Li, Chong You, Srinadh Bhojanapalli, Daliang Li, Ankit Singh Rawat, Sashank J. Reddi, Ke Ye, Felix Chern, Felix X. Yu, Ruiqi Guo, Sanjiv Kumar:
The Lazy Neuron Phenomenon: On Emergence of Activation Sparsity in Transformers. ICLR 2023 - [c26]Philip Sun, Ruiqi Guo, Sanjiv Kumar:
Automating Nearest Neighbor Search Configuration with Constrained Optimization. ICLR 2023 - [c25]Zhiheng Yue, Yang Wang, Huizheng Wang
, Yabing Wang, Ruiqi Guo, Limei Tang, Leibo Liu, Shaojun Wei, Yang Hu, Shouyi Yin:
CV-CIM: A 28nm XOR-Derived Similarity-Aware Computation-in-Memory for Cost-Volume Construction. ISSCC 2023: 138-139 - [c24]Philip Sun, David Simcha, Dave Dopson, Ruiqi Guo, Sanjiv Kumar:
SOAR: Improved Indexing for Approximate Nearest Neighbor Search. NeurIPS 2023 - [c23]Yang Wang, Yubin Qin, Dazheng Deng, Xiaolong Yang, Zhiren Zhao, Ruiqi Guo, Zhiheng Yue, Leibo Liu, Shaojun Wei, Yang Hu, Shouyi Yin:
A 28nm 77.35TOPS/W Similar Vectors Traceable Transformer Processor with Principal-Component-Prior Speculating and Dynamic Bit-wise Stationary Computing. VLSI Technology and Circuits 2023: 1-2 - [i17]Philip Sun, Ruiqi Guo, Sanjiv Kumar:
Automating Nearest Neighbor Search Configuration with Constrained Optimization. CoRR abs/2301.01702 (2023) - [i16]Renat Aksitov, Sobhan Miryoosefi, Zonglin Li, Daliang Li, Sheila Babayan, Kavya Kopparapu, Zachary Fisher, Ruiqi Guo, Sushant Prakash, Pranesh Srinivasan, Manzil Zaheer, Felix X. Yu, Sanjiv Kumar:
ReST meets ReAct: Self-Improvement for Multi-Step Reasoning LLM Agent. CoRR abs/2312.10003 (2023) - 2022
- [j9]Ruiqi Guo, Yong Peng
, Wanzeng Kong, Fan Li
:
A semi-supervised label distribution learning model with label correlations and data manifold exploration. J. King Saud Univ. Comput. Inf. Sci. 34(10 Part B): 10094-10108 (2022) - [j8]Yikai Zhang
, Ruiqi Guo
, Yong Peng
, Wanzeng Kong
, Feiping Nie
, Bao-Liang Lu
:
An Auto-Weighting Incremental Random Vector Functional Link Network for EEG-Based Driving Fatigue Detection. IEEE Trans. Instrum. Meas. 71: 1-14 (2022) - [c22]Felix Chern, Blake Hechtman, Andy Davis, Ruiqi Guo, David Majnemer, Sanjiv Kumar:
TPU-KNN: K Nearest Neighbor Search at Peak FLOP/s. NeurIPS 2022 - [c21]Zonglin Li, Ruiqi Guo, Sanjiv Kumar:
Decoupled Context Processing for Context Augmented Language Modeling. NeurIPS 2022 - [i15]Felix Chern, Blake Hechtman, Andy Davis, Ruiqi Guo, David Majnemer, Sanjiv Kumar:
TPU-KNN: K Nearest Neighbor Search at Peak FLOP/s. CoRR abs/2206.14286 (2022) - [i14]Zonglin Li, Ruiqi Guo, Sanjiv Kumar:
Decoupled Context Processing for Context Augmented Language Modeling. CoRR abs/2210.05758 (2022) - [i13]Zonglin Li, Chong You, Srinadh Bhojanapalli, Daliang Li, Ankit Singh Rawat, Sashank J. Reddi, Ke Ye, Felix Chern, Felix X. Yu, Ruiqi Guo, Sanjiv Kumar:
Large Models are Parsimonious Learners: Activation Sparsity in Trained Transformers. CoRR abs/2210.06313 (2022) - 2021
- [c20]Ruiqi Guo
, Zhiheng Yue, Xin Si, Te Hu, Hao Li, Limei Tang, Yabing Wang, Leibo Liu, Meng-Fan Chang, Qiang Li, Shaojun Wei, Shouyi Yin:
15.4 A 5.99-to-691.1TOPS/W Tensor-Train In-Memory-Computing Processor Using Bit-Level-Sparsity-Based Optimization and Variable-Precision Quantization. ISSCC 2021: 242-244 - [c19]Erik Lindgren, Sashank J. Reddi, Ruiqi Guo, Sanjiv Kumar:
Efficient Training of Retrieval Models using Negative Cache. NeurIPS 2021: 4134-4146 - [c18]Ruiqi Guo
, Hao Li, Ruhui Liu, Zhixiao Zhang, Limei Tang, Hao Sun, Leibo Liu, Meng-Fan Chang, Shaojun Wei, Shouyi Yin:
A 6.54-to-26.03 TOPS/W Computing-In-Memory RNN Processor using Input Similarity Optimization and Attention-based Context-breaking with Output Speculation. VLSI Circuits 2021: 1-2 - 2020
- [j7]Ruiqi Guo
, Yingxiong Xiao:
An adaptive p-FEM for three-dimensional concrete aggregate models. Int. J. Model. Simul. Sci. Comput. 11(1): 2050004:1-2050004:27 (2020) - [c17]Quan Geng, Wei Ding, Ruiqi Guo, Sanjiv Kumar:
Tight Analysis of Privacy and Utility Tradeoff in Approximate Differential Privacy. AISTATS 2020: 89-99 - [c16]Ruiqi Guo, Philip Sun, Erik Lindgren, Quan Geng, David Simcha, Felix Chern, Sanjiv Kumar:
Accelerating Large-Scale Inference with Anisotropic Vector Quantization. ICML 2020: 3887-3896
2010 – 2019
- 2019
- [j6]Yan Zhu
, Khaled Riad
, Ruiqi Guo, Guohua Gan, Rongquan Feng:
New instant confirmation mechanism based on interactive incontestable signature in consortium blockchain. Frontiers Comput. Sci. 13(6): 1182-1197 (2019) - [j5]Chuhang Zou
, Ruiqi Guo, Zhizhong Li, Derek Hoiem:
Complete 3D Scene Parsing from an RGBD Image. Int. J. Comput. Vis. 127(2): 143-162 (2019) - [c15]Quan Geng, Wei Ding, Ruiqi Guo, Sanjiv Kumar:
Optimal Noise-Adding Mechanism in Additive Differential Privacy. AISTATS 2019: 11-20 - [c14]Bowen Zhang, Huaxi Gu, Ruiqi Guo:
SCRA: A Hybrid Deterministic Routing Algorithm for Aging-Resilient Network-an-Chip. APSIPA 2019: 1455-1458 - [c13]Ruiqi Guo
, Yonggang Liu, Shixuan Zheng, Ssu-Yen Wu, Peng Ouyang, Win-San Khwa, Xi Chen, Jia-Jing Chen, Xiudong Li, Leibo Liu
, Meng-Fan Chang, Shaojun Wei, Shouyi Yin:
A 5.1pJ/Neuron 127.3us/Inference RNN-based Speech Recognition Processor using 16 Computing-in-Memory SRAM Macros in 65nm CMOS. VLSI Circuits 2019: 120- - [i12]Xiang Wu, Ruiqi Guo, David Simcha, Dave Dopson, Sanjiv Kumar:
Efficient Inner Product Approximation in Hybrid Spaces. CoRR abs/1903.08690 (2019) - [i11]Xiang Wu, Ruiqi Guo, Sanjiv Kumar, David Simcha:
Local Orthogonal Decomposition for Maximum Inner Product Search. CoRR abs/1903.10391 (2019) - [i10]Ruiqi Guo, Quan Geng, David Simcha, Felix Chern, Sanjiv Kumar, Xiang Wu:
New Loss Functions for Fast Maximum Inner Product Search. CoRR abs/1908.10396 (2019) - 2018
- [j4]Yan Zhu
, Guohua Gan, Ruiqi Guo, Dijiang Huang
:
PHE: An Efficient Traitor Tracing and Revocation for Encrypted File Syncing-and-Sharing in Cloud. IEEE Trans. Cloud Comput. 6(4): 1110-1124 (2018) - [i9]Quan Geng, Wei Ding, Ruiqi Guo, Sanjiv Kumar:
Optimal Noise-Adding Mechanism in Additive Differential Privacy. CoRR abs/1809.10224 (2018) - [i8]Quan Geng, Wei Ding, Ruiqi Guo, Sanjiv Kumar:
Truncated Laplacian Mechanism for Approximate Differential Privacy. CoRR abs/1810.00877 (2018) - 2017
- [c12]Kai Zhong, Ruiqi Guo, Sanjiv Kumar, Bowei Yan, David Simcha, Inderjit S. Dhillon:
Fast Classification with Binary Prototypes. AISTATS 2017: 1255-1263 - [c11]Bo Dai, Ruiqi Guo, Sanjiv Kumar, Niao He, Le Song:
Stochastic Generative Hashing. ICML 2017: 913-922 - [c10]Xiang Wu, Ruiqi Guo, Ananda Theertha Suresh, Sanjiv Kumar, Daniel N. Holtmann-Rice, David Simcha, Felix X. Yu:
Multiscale Quantization for Fast Similarity Search. NIPS 2017: 5745-5755 - [i7]Bo Dai, Ruiqi Guo, Sanjiv Kumar, Niao He, Le Song:
Stochastic Generative Hashing. CoRR abs/1701.02815 (2017) - [i6]Matthew L. Henderson, Rami Al-Rfou, Brian Strope, Yun-Hsuan Sung, László Lukács, Ruiqi Guo, Sanjiv Kumar, Balint Miklos, Ray Kurzweil:
Efficient Natural Language Response Suggestion for Smart Reply. CoRR abs/1705.00652 (2017) - [i5]Blaise Agüera y Arcas, Beat Gfeller, Ruiqi Guo, Kevin Kilgour, Sanjiv Kumar, James Lyon, Julian Odell, Marvin Ritter, Dominik Roblek, Matthew Sharifi, Mihajlo Velimirovic:
Now Playing: Continuous low-power music recognition. CoRR abs/1711.10958 (2017) - 2016
- [c9]Ruiqi Guo, Sanjiv Kumar, Krzysztof Choromanski, David Simcha:
Quantization based Fast Inner Product Search. AISTATS 2016: 482-490 - [c8]Yan Zhu
, Ruiqi Guo, Guohua Gan, Wei-Tek Tsai:
Interactive Incontestable Signature for Transactions Confirmation in Bitcoin Blockchain. COMPSAC 2016: 443-448 - 2015
- [j3]Ruiqi Guo, Derek Hoiem:
Labeling Complete Surfaces in Scene Understanding. Int. J. Comput. Vis. 112(2): 172-187 (2015) - [c7]Yan Zhu
, Xin Wang, Di Ma
, Ruiqi Guo:
Identity-Set-based Broadcast Encryption supporting "Cut-or-Select" with Short Ciphertext. AsiaCCS 2015: 191-202 - [c6]Yan Zhu
, Feng Pu, Guohua Gan, Ruiqi Guo, Shuqing Zhang:
Traitor Tracing and Revocation for Secure Decoders in File Syncing-and-Sharing Service. COMPSAC 2015: 504-509 - [c5]Xu Zhang, Felix X. Yu, Ruiqi Guo, Sanjiv Kumar, Shengjin Wang, Shih-Fu Chang:
Fast Orthogonal Projection Based on Kronecker Product. ICCV 2015: 2929-2937 - [i4]Ruiqi Guo, Chuhang Zou, Derek Hoiem:
Predicting Complete 3D Models of Indoor Scenes. CoRR abs/1504.02437 (2015) - [i3]Ruiqi Guo, Sanjiv Kumar, Krzysztof Choromanski, David Simcha:
Quantization based Fast Inner Product Search. CoRR abs/1509.01469 (2015) - [i2]Yan Zhu, Xin Wang, Di Ma, Ruiqi Guo:
Identity-Set-based Broadcast Encryption supporting "Cut-or-Select" with Short Ciphertext. IACR Cryptol. ePrint Arch. 2015: 342 (2015) - 2014
- [b1]Ruiqi Guo:
Scene understanding with complete scenes and structured representations. University of Illinois Urbana-Champaign, USA, 2014 - [c4]Yunchao Gong, Liwei Wang, Ruiqi Guo, Svetlana Lazebnik:
Multi-scale Orderless Pooling of Deep Convolutional Activation Features. ECCV (7) 2014: 392-407 - [i1]Yunchao Gong, Liwei Wang, Ruiqi Guo, Svetlana Lazebnik:
Multi-scale Orderless Pooling of Deep Convolutional Activation Features. CoRR abs/1403.1840 (2014) - 2013
- [j2]Ruiqi Guo, Qieyun Dai, Derek Hoiem:
Paired Regions for Shadow Detection and Removal. IEEE Trans. Pattern Anal. Mach. Intell. 35(12): 2956-2967 (2013) - [c3]Ruiqi Guo, Derek Hoiem:
Support Surface Prediction in Indoor Scenes. ICCV 2013: 2144-2151 - 2012
- [c2]Ruiqi Guo, Derek Hoiem:
Beyond the Line of Sight: Labeling the Underlying Surfaces. ECCV (5) 2012: 761-774 - 2011
- [c1]Ruiqi Guo, Qieyun Dai, Derek Hoiem:
Single-image shadow detection and removal using paired regions. CVPR 2011: 2033-2040
2000 – 2009
- 2009
- [j1]Ruiqi Guo, Shinichiro Omachi
, Hirotomo Aso:
Segmenting Shape Using Deformation Information. IEICE Trans. Inf. Syst. 92-D(6): 1296-1303 (2009)
Coauthor Index
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