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ORCIDRuiqi Guo
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2020 – today
- 2024
[j11]Ruiqi Guo
, Xiaofeng Chen, Lei Wang, Yang Wang, Hao Sun, Jingchuan Wei, Huiming Han, Leibo Liu, Shaojun Wei, Yang Hu, Shouyi Yin:
CIMFormer: A Systolic CIM-Array-Based Transformer Accelerator With Token-Pruning-Aware Attention Reformulating and Principal Possibility Gathering. IEEE J. Solid State Circuits 59(10): 3317-3329 (2024)- [c34]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 - [c33]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 - [c32]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 - [c31]Yang Wang, Xiaolong Yang, Yubin Qin, Zhiren Zhao, Ruiqi Guo, Zhiheng Yue, Huiming Han, Shaojun Wei, Yang Hu, Shouyi Yin:
A 22nm 54.94TFLOPS/W Transformer Fine-Tuning Processor with Exponent-Stationary Re-Computing, Aggressive Linear Fitting, and Logarithmic Domain Multiplicating. VLSI Technology and Circuits 2024: 1-2 - [c30]Ruiqi Guo, Xiaofeng Chen, Lei Wang, Fengbin Tu, Shaojun Wei, Yang Hu, Shouyi Yin:
A 28nm 4170-TFLOPS/W/b and 195-TFLOPS/mm2/b Multiply-Free Fully-Digital Floating-Point Compute-In-Memory Macro with Mitchell's Approximation. VLSI Technology and Circuits 2024: 1-2 - [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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