Jiaqi Gu

ORCID

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 105

Top Venues

CoRR

DATE

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.

DAC

Publications

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 (2024)
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 (2024)
Ziang Yin, Nicholas Gangi, Meng Zhang, Jeff Zhang, Zhaoran Rena Huang, Jiaqi Gu
SCATTER: Algorithm-Circuit Co-Sparse Photonic Accelerator with Thermal-Tolerant, Power-Efficient In-situ Light Redistribution. CoRR (2024)
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 (2024)
Haotian Lu, Sanmitra Banerjee, Jiaqi Gu
DOCTOR: Dynamic On-Chip Remediation Against Temporally-Drifting Thermal Variations Toward Self-Corrected Photonic Tensor Accelerators. CoRR (2024)
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) (2023)
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 (2023)
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 (2023)
Jiaqi Gu, Guosheng Yin
Triangular Concordance Learning of Networks. J. Comput. Graph. Stat. 32 (2) (2023)
Jiaqi Gu, Guosheng Yin
3D-Polishing for Triangular Mesh Compression of Point Cloud Data. KDD (2023)
Jiaqi Gu, Shenghao Feng, Yimin Wei
Hypergraph Analysis Based on a Compatible Tensor Product Structure. CoRR (2023)
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 (2023)
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 (2023)
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 (2023)
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) (2023)
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) (2023)
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 (2023)
Zixuan Jiang, Jiaqi Gu, David Z. Pan
NormSoftmax: Normalizing the Input of Softmax to Accelerate and Stabilize Training. COINS (2023)
Zixuan Jiang, Jiaqi Gu, Hanqing Zhu, David Z. Pan
Pre-RMSNorm and Pre-CRMSNorm Transformers: Equivalent and Efficient Pre-LN Transformers. NeurIPS (2023)
Zixuan Jiang, Jiaqi Gu, Hanqing Zhu, David Z. Pan
Pre-RMSNorm and Pre-CRMSNorm Transformers: Equivalent and Efficient Pre-LN Transformers. CoRR (2023)
Zixuan Jiang, Jiaqi Gu, Mingjie Liu, David Z. Pan
Delving into Effective Gradient Matching for Dataset Condensation. COINS (2023)
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 (2023)
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)
Hanrui Wang, Pengyu Liu, Bochen Tan, Yilian Liu, Jiaqi Gu, David Z. Pan, Jason Cong, Umut Acar, Song Han
FPQA-C: A Compilation Framework for Field Programmable Qubit Array. CoRR (2023)
Jiaqi Gu, Yiming Wei
Even order uniform hypergraph via the Einstein product. AKCE Int. J. Graphs Comb. 20 (2) (2023)
Jiaqi Gu, Bojian Wu, Lubin Fan, Jianqiang Huang, Shen Cao, Zhiyu Xiang, Xian-Sheng Hua
Homography Loss for Monocular 3D Object Detection. CVPR (2022)
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)
Jiaqi Gu, Zhiyu Xiang, Pan Zhao, Tingming Bai, Lingxuan Wang, Zhiyuan Zhang
CVFNet: Real-time 3D Object Detection by Learning Cross View Features. CoRR (2022)
Hanqing Zhu, Keren Zhu, Jiaqi Gu, Harrison Jin, Ray T. Chen, Jean Anne Incorvia, David Z. Pan
Fuse and Mix: MACAM-Enabled Analog Activation for Energy-Efficient Neural Acceleration. ICCAD (2022)
Jiaqi Gu, Zhengqi Gao, Chenghao Feng, Hanqing Zhu, Ray Chen, Duane S. Boning, David Pan
NeurOLight: A Physics-Agnostic Neural Operator Enabling Parametric Photonic Device Simulation. NeurIPS (2022)
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 (2022)
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)
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) (2022)
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 (2022)
Hanqing Zhu, Keren Zhu, Jiaqi Gu, Harrison Jin, Ray T. Chen, Jean Anne Incorvia, David Z. Pan
Fuse and Mix: MACAM-Enabled Analog Activation for Energy-Efficient Neural Acceleration. CoRR (2022)
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 (2022)
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 (2022)
Jiaqi Gu, Ben Keller, Jean Kossaifi, Anima Anandkumar, Brucek Khailany, David Z. Pan
HEAT: Hardware-Efficient Automatic Tensor Decomposition for Transformer Compression. CoRR (2022)
Zixuan Jiang, Jiaqi Gu, Mingjie Liu, David Z. Pan
Delving into Effective Gradient Matching for Dataset Condensation. CoRR (2022)
Yu Lu, Jiaqi Gu, Ruisheng Sun
Adaptive Performance Guaranteed Formation Control for Unmanned Aerial Vehicles under Anti-collision Constraints. ICARCV (2022)
Jiaqi Gu, Bojian Wu, Lubin Fan, Jianqiang Huang, Shen Cao, Zhiyu Xiang, Xian-Sheng Hua
Homography Loss for Monocular 3D Object Detection. CoRR (2022)
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)
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)
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)
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)
Jiaqi Gu, Philip L. H. Yu
Joint latent space models for ranking data and social network. Stat. Comput. 32 (3) (2022)
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)
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)
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)
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 (2022)
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)
Mengfan Zheng, Jiaqi Gu, Mengyao Ma, Cong Ling
Joint Source-Channel Polar Coding for Biased Bernoulli Sources at Short Blocklengths. ISTC (2021)
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)
Jiaqi Gu, Guosheng Yin
Crystallization Learning with the Delaunay Triangulation. ICML (2021)
Jiaqi Gu, Ruisheng Sun, Jieqing Chen
Improved Back-Stepping Control for Nonlinear Small UAV Systems With Transient Prescribed Performance Design. IEEE Access 9 (2021)
Zixuan Jiang, Jiaqi Gu, Mingjie Liu, Keren Zhu, David Z. Pan
Optimizer Fusion: Efficient Training with Better Locality and Parallelism. CoRR (2021)
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 (2021)
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 (2021)
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)
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) (2021)
Bin Li, Jiaqi Gu, Huazi Zhang
Performance of CRC Concatenated Pre-transformed RM-Polar Codes. CoRR (2021)
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 (2021)
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 (2021)
Zixuan Jiang, Jiaqi Gu, David Z. Pan
A New Acceleration Paradigm for Discrete CosineTransform and Other Fourier-Related Transforms. CoRR (2021)
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) (2021)
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)
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 (2021)
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) (2021)
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 (2021)
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)
Jiaqi Gu, Ping Guo
: An improved minimum vertex cover solver for massive sparse graphs. Eng. Appl. Artif. Intell. 104 (2021)
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, Jonata T. 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)
Jiaqi Gu, Zhiyu Xiang, Yuwen Ye, Lingxuan Wang
DenseLiDAR: A Real-Time Pseudo Dense Depth Guided Depth Completion Network. CoRR (2021)
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 (2021)
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 (2021)
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)
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)
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)
Zixuan Jiang, Keren Zhu, Mingjie Liu, Jiaqi Gu, David Z. Pan
An Efficient Training Framework for Reversible Neural Architectures. ECCV (27) (2020)
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 (2020)
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)
Jiaqi Gu, Zixuan Jiang, Yibo Lin, David Z. Pan
DREAMPlace 3.0: Multi-Electrostatics Based Robust VLSI Placement with Region Constraints. ICCAD (2020)
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, Jonata T. 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 (2020)
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) (2020)
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)
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 (2020)
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)
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 (2019)
Bin Li, Huazi Zhang, Jiaqi Gu
On Pre-transformed Polar Codes. CoRR (2019)
Jiaqi Gu, Guosheng Yin
Fast Algorithm for Generalized Multinomial Models with Ranking Data. ICML (2019)
David Tse, Bin Li, Kai Chen, Ling Liu, Jiaqi Gu
Polar Coding for Parallel Gaussian Channels. ISIT (2019)
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)
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) (2018)
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) (2018)
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)
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)
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 (2017)
Jiaqi Gu, Rodrigo C. de Lamare, Mario Huemer
Buffer-assisted physical-layer network code designs for cooperative systems. ISWCS (2017)
Jiaqi Gu, Rodrigo C. de Lamare
Buffer aided distributed space time coding techniques for cooperative DS-CDMA systems. ICASSP (2016)
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 (2016)

Jiaqi Gu.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Jiaqi Gu