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Jiaqi Gu
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. The links to all actual bibliographies of persons of the same or a similar name can be found below. 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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Other persons with the same name
- Jiaqi Gu 0001 — University of California, Los Angeles, USA
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Journal Articles
- 2023
- [j19]Jiaqi Gu, Yimin Wei:
Even order uniform hypergraph via the Einstein product. AKCE Int. J. Graphs Comb. 20(2): 159-167 (2023) - [j18]Xin Pei, Fei Mei, Jiaqi Gu:
The real-time state identification of the electricity-heat system based on Borderline-SMOTE and XGBoost. IET Cyper-Phys. Syst.: Theory & Appl. 8(4): 236-246 (2023) - [j17]Jiaqi Gu, Guosheng Yin:
Triangular Concordance Learning of Networks. J. Comput. Graph. Stat. 32(2): 434-447 (2023) - [j16]Jiaqi Gu, Chenghao Feng, Hanqing Zhu, Zheng Zhao, Zhoufeng Ying, Mingjie Liu, Ray T. Chen, David Z. Pan:
SqueezeLight: A Multi-Operand Ring-Based Optical Neural Network With Cross-Layer Scalability. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42(3): 807-819 (2023) - [j15]Hanqing Zhu, Jiaqi Gu, Chenghao Feng, Mingjie Liu, Zixuan Jiang, Ray T. Chen, David Z. Pan:
ELight: Toward Efficient and Aging-Resilient Photonic In-Memory Neurocomputing. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42(3): 820-833 (2023) - 2022
- [j14]Jiaqi Gu, Philip L. H. Yu:
Joint latent space models for ranking data and social network. Stat. Comput. 32(3): 51 (2022) - [j13]Jiaqi Gu, Chenghao Feng, Hanqing Zhu, Ray T. Chen, David Z. Pan:
Light in AI: Toward Efficient Neurocomputing With Optical Neural Networks - A Tutorial. IEEE Trans. Circuits Syst. II Express Briefs 69(6): 2581-2585 (2022) - 2021
- [j12]Jiaqi Gu, Ruisheng Sun, Jieqing Chen:
Improved Back-Stepping Control for Nonlinear Small UAV Systems With Transient Prescribed Performance Design. IEEE Access 9: 128786-128798 (2021) - [j11]Jiaqi Gu, Ping Guo:
PEAVC: An improved minimum vertex cover solver for massive sparse graphs. Eng. Appl. Artif. Intell. 104: 104344 (2021) - [j10]Jiaqi Gu, Zhiyu Xiang, Yuwen Ye, Lingxuan Wang:
DenseLiDAR: A Real-Time Pseudo Dense Depth Guided Depth Completion Network. IEEE Robotics Autom. Lett. 6(2): 1808-1815 (2021) - [j9]Yibo Lin, Zixuan Jiang, Jiaqi Gu, Wuxi Li, Shounak Dhar, Haoxing Ren, Brucek Khailany, David Z. Pan:
DREAMPlace: Deep Learning Toolkit-Enabled GPU Acceleration for Modern VLSI Placement. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 40(4): 748-761 (2021) - [j8]Jiaqi Gu, Zheng Zhao, Chenghao Feng, Zhoufeng Ying, Mingjie Liu, Ray T. Chen, David Z. Pan:
Toward Hardware-Efficient Optical Neural Networks: Beyond FFT Architecture via Joint Learnability. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 40(9): 1796-1809 (2021) - 2020
- [j7]Fei Mei, Jiaqi Gu, Jixiang Lu, Jinjun Lu, Jiatang Zhang, Yuhan Jiang, Tian Shi, Jianyong Zheng:
Day-Ahead Nonparametric Probabilistic Forecasting of Photovoltaic Power Generation Based on the LSTM-QRA Ensemble Model. IEEE Access 8: 166138-166149 (2020) - [j6]Yibo Lin, Wuxi Li, Jiaqi Gu, Haoxing Ren, Brucek Khailany, David Z. Pan:
ABCDPlace: Accelerated Batch-Based Concurrent Detailed Placement on Multithreaded CPUs and GPUs. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 39(12): 5083-5096 (2020) - 2019
- [j5]Jiaqi Gu, Zeju Li, Yuanyuan Wang, Haowei Yang, Zhongwei Qiao, Jinhua Yu:
Deep Generative Adversarial Networks for Thin-Section Infant MR Image Reconstruction. IEEE Access 7: 68290-68304 (2019) - 2018
- [j4]Jiaqi Gu, Ming Wang, Yang Yang, Ding Qiu, Yiqun Zhang, Jinbiao Ma, Yu Zhou, Gregory J. Hannon, Yang Yu:
GoldCLIP: Gel-omitted Ligation-dependent CLIP. Genom. Proteom. Bioinform. 16(2): 136-143 (2018) - [j3]Jiaqi Gu, Rodrigo C. de Lamare, Mario Huemer:
Buffer-Aided Physical-Layer Network Coding With Optimal Linear Code Designs for Cooperative Networks. IEEE Trans. Commun. 66(6): 2560-2575 (2018) - 2016
- [j2]Jiaqi Gu, Rodrigo C. de Lamare:
Joint interference cancellation and relay selection algorithms based on greedy techniques for cooperative DS-CDMA systems. EURASIP J. Wirel. Commun. Netw. 2016: 59 (2016) - [j1]Jiaqi Gu, Rodrigo C. de Lamare:
Buffer-aided distributed space-time coding schemes and algorithms for cooperative DS-CDMA systems. EURASIP J. Wirel. Commun. Netw. 2016: 257 (2016)
Conference and Workshop Papers
- 2024
- [c47]Hanqing Zhu, Jiaqi Gu, Hanrui Wang, Zixuan Jiang, Zhekai Zhang, Rongxing Tang, Chenghao Feng, Song Han, Ray T. Chen, David Z. Pan:
Lightening-Transformer: A Dynamically-Operated Optically-Interconnected Photonic Transformer Accelerator. HPCA 2024: 686-703 - 2023
- [c46]Zixuan Jiang, Jiaqi Gu, Mingjie Liu, David Z. Pan:
Delving into Effective Gradient Matching for Dataset Condensation. COINS 2023: 1-6 - [c45]Zixuan Jiang, Jiaqi Gu, David Z. Pan:
NormSoftmax: Normalizing the Input of Softmax to Accelerate and Stabilize Training. COINS 2023: 1-6 - [c44]Jiaqi Gu, Guosheng Yin:
3D-Polishing for Triangular Mesh Compression of Point Cloud Data. KDD 2023: 557-566 - [c43]Zixuan Jiang, Jiaqi Gu, Hanqing Zhu, David Z. Pan:
Pre-RMSNorm and Pre-CRMSNorm Transformers: Equivalent and Efficient Pre-LN Transformers. NeurIPS 2023 - [c42]Tianlong Chen, Zhenyu Zhang, Hanrui Wang, Jiaqi Gu, Zirui Li, David Z. Pan, Frederic T. Chong, Song Han, Zhangyang Wang:
QuantumSEA: In-Time Sparse Exploration for Noise Adaptive Quantum Circuits. QCE 2023: 51-62 - 2022
- [c41]Hanqing Zhu, Jiaqi Gu, Chenghao Feng, Mingjie Liu, Zixuan Jiang, Ray T. Chen, David Z. Pan:
ELight: Enabling Efficient Photonic In-Memory Neurocomputing with Life Enhancement. ASP-DAC 2022: 332-338 - [c40]Jiaqi Gu, Bojian Wu, Lubin Fan, Jianqiang Huang, Shen Cao, Zhiyu Xiang, Xian-Sheng Hua:
Homography Loss for Monocular 3D Object Detection. CVPR 2022: 1070-1079 - [c39]Jiaqi Gu, Hyoukjun Kwon, Dilin Wang, Wei Ye, Meng Li, Yu-Hsin Chen, Liangzhen Lai, Vikas Chandra, David Z. Pan:
Multi-Scale High-Resolution Vision Transformer for Semantic Segmentation. CVPR 2022: 12084-12093 - [c38]Hanrui Wang, Jiaqi Gu, Yongshan Ding, Zirui Li, Frederic T. Chong, David Z. Pan, Song Han:
QuantumNAT: quantum noise-aware training with noise injection, quantization and normalization. DAC 2022: 1-6 - [c37]Hanrui Wang, Zirui Li, Jiaqi Gu, Yongshan Ding, David Z. Pan, Song Han:
QOC: quantum on-chip training with parameter shift and gradient pruning. DAC 2022: 655-660 - [c36]Jiaqi Gu, Hanqing Zhu, Chenghao Feng, Zixuan Jiang, Mingjie Liu, Shuhan Zhang, Ray T. Chen, David Z. Pan:
ADEPT: automatic differentiable DEsign of photonic tensor cores. DAC 2022: 937-942 - [c35]Zizheng Guo, Mingjie Liu, Jiaqi Gu, Shuhan Zhang, David Z. Pan, Yibo Lin:
A timing engine inspired graph neural network model for pre-routing slack prediction. DAC 2022: 1207-1212 - [c34]Hanrui Wang, Yongshan Ding, Jiaqi Gu, Yujun Lin, David Z. Pan, Frederic T. Chong, Song Han:
QuantumNAS: Noise-Adaptive Search for Robust Quantum Circuits. HPCA 2022: 692-708 - [c33]Yu Lu, Jiaqi Gu, Ruisheng Sun:
Adaptive Performance Guaranteed Formation Control for Unmanned Aerial Vehicles under Anti-collision Constraints. ICARCV 2022: 814-819 - [c32]Hanqing Zhu, Keren Zhu, Jiaqi Gu, Harrison Jin, Ray T. Chen, Jean Anne C. Incorvia, David Z. Pan:
Fuse and Mix: MACAM-Enabled Analog Activation for Energy-Efficient Neural Acceleration. ICCAD 2022: 37:1-37:9 - [c31]Hanrui Wang, Zhiding Liang, Jiaqi Gu, Zirui Li, Yongshan Ding, Weiwen Jiang, Yiyu Shi, David Z. Pan, Frederic T. Chong, Song Han:
TorchQuantum Case Study for Robust Quantum Circuits. ICCAD 2022: 136:1-136:9 - [c30]Jiaqi Gu, Zhiyu Xiang, Pan Zhao, Tingming Bai, Lingxuan Wang, Xijun Zhao, Zhiyuan Zhang:
CVFNet: Real-time 3D Object Detection by Learning Cross View Features. IROS 2022: 568-574 - [c29]Wei Shi, Hanrui Wang, Jiaqi Gu, Mingjie Liu, David Z. Pan, Song Han, Nan Sun:
RobustAnalog: Fast Variation-Aware Analog Circuit Design Via Multi-task RL. MLCAD 2022: 35-41 - [c28]Jiaqi Gu, Zhengqi Gao, Chenghao Feng, Hanqing Zhu, Ray T. Chen, Duane S. Boning, David Z. Pan:
NeurOLight: A Physics-Agnostic Neural Operator Enabling Parametric Photonic Device Simulation. NeurIPS 2022 - 2021
- [c27]Jiaqi Gu, Chenghao Feng, Zheng Zhao, Zhoufeng Ying, Ray T. Chen, David Z. Pan:
Efficient On-Chip Learning for Optical Neural Networks Through Power-Aware Sparse Zeroth-Order Optimization. AAAI 2021: 7583-7591 - [c26]Jiaqi Gu, Chenghao Feng, Zheng Zhao, Zhoufeng Ying, Mingjie Liu, Ray T. Chen, David Z. Pan:
SqueezeLight: Towards Scalable Optical Neural Networks with Multi-Operand Ring Resonators. DATE 2021: 238-243 - [c25]Shubham Rai, Walter Lau Neto, Yukio Miyasaka, Xinpei Zhang, Mingfei Yu, Qingyang Yi, Masahiro Fujita, Guilherme B. Manske, Matheus F. Pontes, Leomar S. da Rosa, Marilton S. de Aguiar, Paulo F. Butzen, Po-Chun Chien, Yu-Shan Huang, Hoa-Ren Wang, Jie-Hong R. Jiang, Jiaqi Gu, Zheng Zhao, Zixuan Jiang, David Z. Pan, Brunno A. Abreu, Isac de Souza Campos, Augusto Andre Souza Berndt, Cristina Meinhardt, Jônata Tyska Carvalho, Mateus Grellert, Sergio Bampi, Aditya Lohana, Akash Kumar, Wei Zeng, Azadeh Davoodi, Rasit Onur Topaloglu, Yuan Zhou, Jordan Dotzel, Yichi Zhang, Hanyu Wang, Zhiru Zhang, Valerio Tenace, Pierre-Emmanuel Gaillardon, Alan Mishchenko, Satrajit Chatterjee:
Logic Synthesis Meets Machine Learning: Trading Exactness for Generalization. DATE 2021: 1026-1031 - [c24]Jiaqi Gu, Zheng Zhao, Chenghao Feng, Zhoufeng Ying, Ray T. Chen, David Z. Pan:
O2NN: Optical Neural Networks with Differential Detection-Enabled Optical Operands. DATE 2021: 1062-1067 - [c23]Jiaqi Gu, Hanqing Zhu, Chenghao Feng, Mingjie Liu, Zixuan Jiang, Ray T. Chen, David Z. Pan:
Towards Memory-Efficient Neural Networks via Multi-Level in situ Generation. ICCV 2021: 5209-5218 - [c22]Jiaqi Gu, Guosheng Yin:
Crystallization Learning with the Delaunay Triangulation. ICML 2021: 3854-3863 - [c21]Mengfan Zheng, Jiaqi Gu, Mengyao Ma, Cong Ling:
Joint Source-Channel Polar Coding for Biased Bernoulli Sources at Short Blocklengths. ISTC 2021: 1-5 - [c20]Jiaqi Gu, Hanqing Zhu, Chenghao Feng, Zixuan Jiang, Ray T. Chen, David Z. Pan:
L2ight: Enabling On-Chip Learning for Optical Neural Networks via Efficient in-situ Subspace Optimization. NeurIPS 2021: 8649-8661 - 2020
- [c19]Yi Zhang, Yuwen Ye, Zhiyu Xiang, Jiaqi Gu:
SDP-Net: Scene Flow Based Real-Time Object Detection and Prediction from Sequential 3D Point Clouds. ACCV (1) 2020: 140-157 - [c18]Jiaqi Gu, Zheng Zhao, Chenghao Feng, Mingjie Liu, Ray T. Chen, David Z. Pan:
Towards Area-Efficient Optical Neural Networks: An FFT-based Architecture. ASP-DAC 2020: 476-481 - [c17]Jiaqi Gu, Zheng Zhao, Chenghao Feng, Wuxi Li, Ray T. Chen, David Z. Pan:
FLOPS: EFficient On-Chip Learning for OPtical Neural Networks Through Stochastic Zeroth-Order Optimization. DAC 2020: 1-6 - [c16]Mingjie Liu, Keren Zhu, Jiaqi Gu, Linxiao Shen, Xiyuan Tang, Nan Sun, David Z. Pan:
Towards Decrypting the Art of Analog Layout: Placement Quality Prediction via Transfer Learning. DATE 2020: 496-501 - [c15]Jiaqi Gu, Zheng Zhao, Chenghao Feng, Hanqing Zhu, Ray T. Chen, David Z. Pan:
ROQ: A Noise-Aware Quantization Scheme Towards Robust Optical Neural Networks with Low-bit Controls. DATE 2020: 1586-1589 - [c14]Zixuan Jiang, Keren Zhu, Mingjie Liu, Jiaqi Gu, David Z. Pan:
An Efficient Training Framework for Reversible Neural Architectures. ECCV (27) 2020: 275-289 - [c13]Jiaqi Gu, Zixuan Jiang, Yibo Lin, David Z. Pan:
DREAMPlace 3.0: Multi-Electrostatics Based Robust VLSI Placement with Region Constraints. ICCAD 2020: 143:1-143:9 - 2019
- [c12]Zheng Zhao, Jiaqi Gu, Zhoufeng Ying, Chenghao Feng, Ray T. Chen, David Z. Pan:
Design Technology for Scalable and Robust Photonic Integrated Circuits: Invited Paper. ICCAD 2019: 1-7 - [c11]Jiaqi Gu, Guosheng Yin:
Fast Algorithm for Generalized Multinomial Models with Ranking Data. ICML 2019: 2445-2453 - [c10]David Tse, Bin Li, Kai Chen, Ling Liu, Jiaqi Gu:
Polar Coding for Parallel Gaussian Channels. ISIT 2019: 1407-1411 - 2018
- [c9]Jiaqi Gu, Chuanqiang Shan, Xiaohui Chen, Huarui Yin, Weidong Wang:
A Novel Pilot-Aided Channel Estimation Scheme Based on RNN for FDD-LTE systems. WCSP 2018: 1-5 - 2017
- [c8]Jiaqi Gu, Ruoyao Wang, Jian Wang, Jinmei Lai, Qinghua Duan:
Remote embedded simulation system for SW/HW co-design based on dynamic partial reconfiguration. ASICON 2017: 402-405 - [c7]Jiaqi Gu, Rodrigo C. de Lamare, Mario Huemer:
Buffer-assisted physical-layer network code designs for cooperative systems. ISWCS 2017: 187-192 - 2016
- [c6]Jiaqi Gu, Rodrigo C. de Lamare:
Buffer aided distributed space time coding techniques for cooperative DS-CDMA systems. ICASSP 2016: 3626-3630 - [c5]Jiaqi Gu, Rodrigo C. de Lamare:
Dynamic Buffer-aided Distributed Space Time Coding Techniques for Cooperative DS-CDMA Systems. WSA 2016: 1-6 - 2014
- [c4]Jiaqi Gu, Rodrigo C. de Lamare:
Joint sic and multi-relay selection algorithms for cooperative DS-CDMA systems. EUSIPCO 2014: 556-560 - [c3]Jiaqi Gu, Rodrigo C. de Lamare:
Joint parallel interference cancellation and relay selection algorithms based on greedy techniques for cooperative DS-CDMA systems. ICASSP 2014: 2754-2758 - 2013
- [c2]Yanhua Wu, Jiaqi Gu, Tuo Chen, Weiyuan Wang, Shiqin Jiang, Weiwei Quan:
Noninvasive diagnosis of coronary artery disease using two parameters extracted in an extrema circle of magnetocardiogram. EMBC 2013: 1843-1846 - 2011
- [c1]Yi Li, Mingzhe Zhang, Jiaqi Gu:
An Email Server Optimized for Storage Issues. TrustCom 2011: 1437-1443
Informal and Other Publications
- 2024
- [i47]Tianlong Chen, Zhenyu Zhang, Hanrui Wang, Jiaqi Gu, Zirui Li, David Z. Pan, Frederic T. Chong, Song Han, Zhangyang Wang:
QuantumSEA: In-Time Sparse Exploration for Noise Adaptive Quantum Circuits. CoRR abs/2401.05571 (2024) - [i46]Junyao Zhang, Hanrui Wang, Qi Ding, Jiaqi Gu, Reouven Assouly, William D. Oliver, Song Han, Kenneth R. Brown, Hai Helen Li, Yiran Chen:
Qplacer: Frequency-Aware Component Placement for Superconducting Quantum Computers. CoRR abs/2401.17450 (2024) - [i45]Meng Zhang, Dennis Yin, Nicholas Gangi, Amir Begovic, Alexander Chen, Zhaoran Rena Huang, Jiaqi Gu:
TeMPO: Efficient Time-Multiplexed Dynamic Photonic Tensor Core for Edge AI with Compact Slow-Light Electro-Optic Modulator. CoRR abs/2402.07393 (2024) - [i44]Haotian Lu, Sanmitra Banerjee, Jiaqi Gu:
DOCTOR: Dynamic On-Chip Remediation Against Temporally-Drifting Thermal Variations Toward Self-Corrected Photonic Tensor Accelerators. CoRR abs/2403.02688 (2024) - [i43]Jingyu Lin, Jiaqi Gu, Bojian Wu, Lubin Fan, Renjie Chen, Ligang Liu, Jieping Ye:
Learning Neural Volumetric Pose Features for Camera Localization. CoRR abs/2403.12800 (2024) - [i42]Shupeng Ning, Hanqing Zhu, Chenghao Feng, Jiaqi Gu, Zhixing Jiang, Zhoufeng Ying, Jason Midkiff, Sourabh Jain, May H. Hlaing, David Z. Pan, Ray T. Chen:
Photonic-Electronic Integrated Circuits for High-Performance Computing and AI Accelerator. CoRR abs/2403.14806 (2024) - 2023
- [i41]Zixuan Jiang, Jiaqi Gu, Hanqing Zhu, David Z. Pan:
Pre-RMSNorm and Pre-CRMSNorm Transformers: Equivalent and Efficient Pre-LN Transformers. CoRR abs/2305.14858 (2023) - [i40]Jiaqi Gu, Hanqing Zhu, Chenghao Feng, Zixuan Jiang, Ray T. Chen, David Z. Pan:
M3ICRO: Machine Learning-Enabled Compact Photonic Tensor Core based on PRogrammable Multi-Operand Multimode Interference. CoRR abs/2305.19505 (2023) - [i39]Hanqing Zhu, Jiaqi Gu, Hanrui Wang, Zixuan Jiang, Zhekai Zhang, Rongxin Tang, Chenghao Feng, Song Han, Ray T. Chen, David Z. Pan:
DOTA: A Dynamically-Operated Photonic Tensor Core for Energy-Efficient Transformer Accelerator. CoRR abs/2305.19533 (2023) - [i38]Chenghao Feng, Jiaqi Gu, Hanqing Zhu, Rongxing Tang, Shupeng Ning, May Hlaing, Jason Midkiff, Sourabh Jain, David Z. Pan, Ray T. Chen:
Integrated multi-operand optical neurons for scalable and hardware-efficient deep learning. CoRR abs/2305.19592 (2023) - [i37]Jiaqi Gu, Shenghao Feng, Yimin Wei:
Hypergraph Analysis Based on a Compatible Tensor Product Structure. CoRR abs/2310.04682 (2023) - [i36]Hanrui Wang, Pengyu Liu, Bochen Tan, Yilian Liu, Jiaqi Gu, David Z. Pan, Jason Cong, Umut A. Acar, Song Han:
FPQA-C: A Compilation Framework for Field Programmable Qubit Array. CoRR abs/2311.15123 (2023) - [i35]Hanrui Wang, Yilian Liu, Pengyu Liu, Jiaqi Gu, Zirui Li, Zhiding Liang, Jinglei Cheng, Yongshan Ding, Xuehai Qian, Yiyu Shi, David Z. Pan, Frederic T. Chong, Song Han:
RobustState: Boosting Fidelity of Quantum State Preparation via Noise-Aware Variational Training. CoRR abs/2311.16035 (2023) - [i34]Hanrui Wang, Pengyu Liu, Kevin Shao, Dantong Li, Jiaqi Gu, David Z. Pan, Yongshan Ding, Song Han:
Transformer-QEC: Quantum Error Correction Code Decoding with Transferable Transformers. CoRR abs/2311.16082 (2023) - [i33]Hanrui Wang, Bochen Tan, Pengyu Liu, Yilian Liu, Jiaqi Gu, Jason Cong, Song Han:
Q-Pilot: Field Programmable Quantum Array Compilation with Flying Ancillas. CoRR abs/2311.16190 (2023) - [i32]Hanrui Wang, Pengyu Liu, Yilian Liu, Jiaqi Gu, Jonathan M. Baker, Frederic T. Chong, Song Han:
DGR: Tackling Drifted and Correlated Noise in Quantum Error Correction via Decoding Graph Re-weighting. CoRR abs/2311.16214 (2023) - 2022
- [i31]Hanrui Wang, Zirui Li, Jiaqi Gu, Yongshan Ding, David Z. Pan, Song Han:
On-chip QNN: Towards Efficient On-Chip Training of Quantum Neural Networks. CoRR abs/2202.13239 (2022) - [i30]Jiaqi Gu, Zhiyu Xiang, Pan Zhao, Tingming Bai, Lingxuan Wang, Zhiyuan Zhang:
CVFNet: Real-time 3D Object Detection by Learning Cross View Features. CoRR abs/2203.06585 (2022) - [i29]Jiaqi Gu, Bojian Wu, Lubin Fan, Jianqiang Huang, Shen Cao, Zhiyu Xiang, Xian-Sheng Hua:
Homography Loss for Monocular 3D Object Detection. CoRR abs/2204.00754 (2022) - [i28]Bin Li, Jiaqi Gu, Huazi Zhang:
Universal Polar Coding for Parallel Gaussian Channels with Non-Binary Inputs and Its Applications to HARQ and MIMO. CoRR abs/2206.00827 (2022) - [i27]Wei Shi, Hanrui Wang, Jiaqi Gu, Mingjie Liu, David Z. Pan, Song Han, Nan Sun:
RobustAnalog: Fast Variation-Aware Analog Circuit Design Via Multi-task RL. CoRR abs/2207.06412 (2022) - [i26]Zixuan Jiang, Jiaqi Gu, Mingjie Liu, David Z. Pan:
Delving into Effective Gradient Matching for Dataset Condensation. CoRR abs/2208.00311 (2022) - [i25]Hanqing Zhu, Keren Zhu, Jiaqi Gu, Harrison Jin, Ray T. Chen, Jean Anne C. Incorvia, David Z. Pan:
Fuse and Mix: MACAM-Enabled Analog Activation for Energy-Efficient Neural Acceleration. CoRR abs/2208.08099 (2022) - [i24]Jiaqi Gu, Zhengqi Gao, Chenghao Feng, Hanqing Zhu, Ray T. Chen, Duane S. Boning, David Z. Pan:
NeurOLight: A Physics-Agnostic Neural Operator Enabling Parametric Photonic Device Simulation. CoRR abs/2209.10098 (2022) - [i23]Hanrui Wang, Pengyu Liu, Jinglei Cheng, Zhiding Liang, Jiaqi Gu, Zirui Li, Yongshan Ding, Weiwen Jiang, Yiyu Shi, Xuehai Qian, David Z. Pan, Frederic T. Chong, Song Han:
QuEst: Graph Transformer for Quantum Circuit Reliability Estimation. CoRR abs/2210.16724 (2022) - [i22]Jiaqi Gu, Ben Keller, Jean Kossaifi, Anima Anandkumar, Brucek Khailany, David Z. Pan:
HEAT: Hardware-Efficient Automatic Tensor Decomposition for Transformer Compression. CoRR abs/2211.16749 (2022) - 2021
- [i21]Zixuan Jiang, Jiaqi Gu, Mingjie Liu, Keren Zhu, David Z. Pan:
Optimizer Fusion: Efficient Training with Better Locality and Parallelism. CoRR abs/2104.00237 (2021) - [i20]Bin Li, Jiaqi Gu, Huazi Zhang:
Performance of CRC Concatenated Pre-transformed RM-Polar Codes. CoRR abs/2104.07486 (2021) - [i19]Hanrui Wang, Yongshan Ding, Jiaqi Gu, Yujun Lin, David Z. Pan, Frederic T. Chong, Song Han:
QuantumNAS: Noise-Adaptive Search for Robust Quantum Circuits. CoRR abs/2107.10845 (2021) - [i18]Jiaqi Gu, Hanqing Zhu, Chenghao Feng, Mingjie Liu, Zixuan Jiang, Ray T. Chen, David Z. Pan:
Towards Memory-Efficient Neural Networks via Multi-Level in situ Generation. CoRR abs/2108.11430 (2021) - [i17]Jiaqi Gu, Zhiyu Xiang, Yuwen Ye, Lingxuan Wang:
DenseLiDAR: A Real-Time Pseudo Dense Depth Guided Depth Completion Network. CoRR abs/2108.12655 (2021) - [i16]Zixuan Jiang, Jiaqi Gu, David Z. Pan:
A New Acceleration Paradigm for Discrete CosineTransform and Other Fourier-Related Transforms. CoRR abs/2110.01172 (2021) - [i15]Hanrui Wang, Jiaqi Gu, Yongshan Ding, Zirui Li, Frederic T. Chong, David Z. Pan, Song Han:
RoQNN: Noise-Aware Training for Robust Quantum Neural Networks. CoRR abs/2110.11331 (2021) - [i14]Jiaqi Gu, Hanqing Zhu, Chenghao Feng, Zixuan Jiang, Ray T. Chen, David Z. Pan:
L2ight: Enabling On-Chip Learning for Optical Neural Networks via Efficient in-situ Subspace Optimization. CoRR abs/2110.14807 (2021) - [i13]Jiaqi Gu, Hyoukjun Kwon, Dilin Wang, Wei Ye, Meng Li, Yu-Hsin Chen, Liangzhen Lai, Vikas Chandra, David Z. Pan:
Multi-Scale High-Resolution Vision Transformer for Semantic Segmentation. CoRR abs/2111.01236 (2021) - [i12]Chenghao Feng, Jiaqi Gu, Hanqing Zhu, Zhoufeng Ying, Zheng Zhao, David Z. Pan, Ray T. Chen:
Silicon photonic subspace neural chip for hardware-efficient deep learning. CoRR abs/2111.06705 (2021) - [i11]Hanqing Zhu, Jiaqi Gu, Chenghao Feng, Mingjie Liu, Zixuan Jiang, Ray T. Chen, David Z. Pan:
ELight: Enabling Efficient Photonic In-Memory Neurocomputing with Life Enhancement. CoRR abs/2112.08512 (2021) - [i10]Jiaqi Gu, Hanqing Zhu, Chenghao Feng, Zixuan Jiang, Mingjie Liu, Shuhan Zhang, Ray T. Chen, David Z. Pan:
ADEPT: Automatic Differentiable DEsign of Photonic Tensor Cores. CoRR abs/2112.08703 (2021) - 2020
- [i9]Shubham Rai, Walter Lau Neto, Yukio Miyasaka, Xinpei Zhang, Mingfei Yu, Qingyang Yi, Masahiro Fujita, Guilherme B. Manske, Matheus F. Pontes, Leomar S. da Rosa Jr., Marilton S. de Aguiar, Paulo F. Butzen, Po-Chun Chien, Yu-Shan Huang, Hoa-Ren Wang, Jie-Hong R. Jiang, Jiaqi Gu, Zheng Zhao, Zixuan Jiang, David Z. Pan, Brunno A. Abreu, Isac de Souza Campos, Augusto Andre Souza Berndt, Cristina Meinhardt, Jônata Tyska Carvalho, Mateus Grellert, Sergio Bampi, Aditya Lohana, Akash Kumar, Wei Zeng, Azadeh Davoodi, Rasit Onur Topaloglu, Yuan Zhou, Jordan Dotzel, Yichi Zhang, Hanyu Wang, Zhiru Zhang, Valerio Tenace, Pierre-Emmanuel Gaillardon, Alan Mishchenko, Satrajit Chatterjee:
Logic Synthesis Meets Machine Learning: Trading Exactness for Generalization. CoRR abs/2012.02530 (2020) - [i8]Jiaqi Gu, Chenghao Feng, Zheng Zhao, Zhoufeng Ying, Ray T. Chen, David Z. Pan:
Efficient On-Chip Learning for Optical Neural Networks Through Power-Aware Sparse Zeroth-Order Optimization. CoRR abs/2012.11148 (2020) - 2019
- [i7]Bin Li, Huazi Zhang, Jiaqi Gu:
On Pre-transformed Polar Codes. CoRR abs/1912.06359 (2019) - 2017
- [i6]Jiaqi Gu, Rodrigo C. de Lamare, Mario Huemer:
Study of Buffer-aided physical-layer network coding with ML and MMSE linear code designs for cooperative DS-CDMA systems. CoRR abs/1707.06333 (2017) - 2016
- [i5]Jiaqi Gu, Rodrigo C. de Lamare:
Study of Interference Cancellation and Relay Selection Algorithms Using Greedy Techniques for Cooperative DS-CDMA Systems. CoRR abs/1602.03936 (2016) - [i4]Jiaqi Gu, Rodrigo C. de Lamare:
Distributed Space-Time Coding Techniques with Dynamic Buffers for Cooperative DS-CDMA Systems. CoRR abs/1608.04439 (2016) - [i3]Jiaqi Gu, Rodrigo C. de Lamare:
Review of Buffer-Aided Distributed Space-Time Coding Schemes and Algorithms for Cooperative Wireless Systems. CoRR abs/1610.00058 (2016) - 2014
- [i2]Jiaqi Gu, Rodrigo C. de Lamare:
Joint PIC and relay selection based on greedy techniques for cooperative DS-CDMA systems. CoRR abs/1406.0234 (2014) - [i1]Jiaqi Gu, Rodrigo C. de Lamare:
Joint SIC and Relay Selection for Cooperative DS-CDMA Systems. CoRR abs/1410.0444 (2014)
Coauthor Index
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