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ORCIDChanghao Li
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
[j9]Changhao Li
, Huanjing Li, Tao Wu, Lei Yan, Suzhi Cao:
Realization of maximum flow in DTN and application in CGR. Ad Hoc Networks 152: 103302 (2024)- [j8]Zheng Liu, Xinlei Pei, Shanshan Gao, Changhao Li, Jingyao Wang, Junhao Xu:
Perceive, Reason, and Align: Context-guided cross-modal correlation learning for image-text retrieval. Appl. Soft Comput. 154: 111395 (2024) - [j7]Fen Xu, Changhao Li, Feihu Sun:
On-Line Measurement of Tracking Poses of Heliostats in Concentrated Solar Power Plants. Sensors 24(19): 6373 (2024) - [j6]Changhao Li, Zhixin Ma, Dazhi Sun, Guoming Zhang, Jinming Wen:
Stochastic IHT With Stochastic Polyak Step-Size for Sparse Signal Recovery. IEEE Signal Process. Lett. 31: 2035-2039 (2024) - [c7]Zichang He, Shouvanik Chakrabarti, Dylan Herman, Niraj Kumar, Changhao Li, Pierre Minssen, Pradeep Niroula, Ruslan Shaydulin, Yue Sun, Shree Hari Sureshbabu, Romina Yalovetzky, Marco Pistoia:
Invited: Challenges and Opportunities of Quantum Optimization in Finance. DAC 2024: 362:1-362:4 - [c6]Yang Chen, Menglin Wang, Changhao Li, Cheng Cheng:
Graph Fourier Transforms on Signed Graphs. ICCBN 2024: 96-101 - [c5]Yinqiu Huang, Shuli Wang, Min Gao, Xue Wei, Changhao Li, Chuan Luo, Yinhua Zhu, Xiong Xiao, Yi Luo:
Entire Chain Uplift Modeling with Context-Enhanced Learning for Intelligent Marketing. WWW (Companion Volume) 2024: 226-234 - [i19]Yinqiu Huang, Shuli Wang, Min Gao, Xue Wei, Changhao Li, Chuan Luo, Yinhua Zhu, Xiong Xiao, Yi Luo:
Entire Chain Uplift Modeling with Context-Enhanced Learning for Intelligent Marketing. CoRR abs/2402.03379 (2024) - [i18]Michael A. Perlin, Ruslan Shaydulin, Benjamin P. Hall, Pierre Minssen, Changhao Li, Kabir Dubey, Richard Rines, Eric R. Anschütz, Marco Pistoia, Pranav Gokhale:
Q-CHOP: Quantum constrained Hamiltonian optimization. CoRR abs/2403.05653 (2024) - [i17]Jamie Heredge, Niraj Kumar, Dylan Herman, Shouvanik Chakrabarti, Romina Yalovetzky, Shree Hari Sureshbabu, Changhao Li, Marco Pistoia:
Prospects of Privacy Advantage in Quantum Machine Learning. CoRR abs/2405.08801 (2024) - [i16]Changhao Li, Xinyu Sun, Peihao Chen, Jugang Fan, Zixu Wang, Yanxia Liu, Jin-Hui Zhu, Chuang Gan, Mingkui Tan:
CoNav: A Benchmark for Human-Centered Collaborative Navigation. CoRR abs/2406.02425 (2024) - [i15]Romina Yalovetzky, Niraj Kumar, Changhao Li, Marco Pistoia:
QC-Forest: a Classical-Quantum Algorithm to Provably Speedup Retraining of Random Forest. CoRR abs/2406.12008 (2024) - [i14]Haoling Li, Changhao Li, Mengqi Xue, Gongfan Fang, Sheng Zhou, Zunlei Feng, Huiqiong Wang, Yong Wang, Lechao Cheng, Mingli Song, Jie Song:
PruningBench: A Comprehensive Benchmark of Structural Pruning. CoRR abs/2406.12315 (2024) - [i13]Zichang He, Ruslan Shaydulin, Dylan Herman, Changhao Li, Rudy Raymond, Shree Hari Sureshbabu, Marco Pistoia:
Parameter Setting Heuristics Make the Quantum Approximate Optimization Algorithm Suitable for the Early Fault-Tolerant Era. CoRR abs/2408.09538 (2024) - 2023
- [j5]Tiantian Shi, Zhonghua Guo, Changhao Li, Xuting Lan, Xiang Gao, Xiang Yan:
Improvement of deep learning Method for water body segmentation of remote sensing images based on attention modules. Earth Sci. Informatics 16(3): 2865-2876 (2023) - [j4]Changhao Li, Junfu Guo, Ruizhen Hu, Ligang Liu:
Online Scene CAD Recomposition via Autonomous Scanning. ACM Trans. Graph. 42(6): 251:1-251:16 (2023) - [c4]Xinyu Sun, Peihao Chen, Liangwei Chen, Changhao Li, Thomas H. Li, Mingkui Tan, Chuang Gan:
Masked Motion Encoding for Self-Supervised Video Representation Learning. CVPR 2023: 2235-2245 - [c3]Haocheng Xi, Changhao Li, Jianfei Chen, Jun Zhu:
Training Transformers with 4-bit Integers. NeurIPS 2023 - [d1]Changhao Li:
Realization of Maximum Flow in DTN and Application in CGR. IEEE DataPort, 2023
- [i12]Yang Jeong Park, Daniel Kaplan, Zhichu Ren, Chia-Wei Hsu, Changhao Li, Haowei Xu, Sipei Li, Ju Li:
Can ChatGPT be used to generate scientific hypotheses? CoRR abs/2304.12208 (2023) - [i11]Zichang He, Ruslan Shaydulin, Shouvanik Chakrabarti, Dylan Herman, Changhao Li, Yue Sun, Marco Pistoia:
Alignment between Initial State and Mixer Improves QAOA Performance for Constrained Portfolio Optimization. CoRR abs/2305.03857 (2023) - [i10]Haocheng Xi, Changhao Li, Jianfei Chen, Jun Zhu:
Training Transformers with 4-bit Integers. CoRR abs/2306.11987 (2023) - [i9]Ruslan Shaydulin, Changhao Li, Shouvanik Chakrabarti, Matthew DeCross, Dylan Herman, Niraj Kumar, Jeffrey Larson, Danylo Lykov, Pierre Minssen, Yue Sun, Yuri Alexeev, Joan M. Dreiling, John P. Gaebler, Thomas M. Gatterman, Justin A. Gerber, Kevin Gilmore, Dan Gresh, Nathan Hewitt, Chandler V. Horst, Shaohan Hu, Jacob Johansen, Mitchell Matheny, Tanner Mengle, Michael Mills, Steven A. Moses, Brian Neyenhuis, Peter Siegfried, Romina Yalovetzky, Marco Pistoia:
Evidence of Scaling Advantage for the Quantum Approximate Optimization Algorithm on a Classically Intractable Problem. CoRR abs/2308.02342 (2023) - [i8]Wenjun Jiang, Tianlong Fan, Changhao Li, Chuanfu Zhang, Tao Zhang, Zongfu Luo:
Comprehensive Analysis of Network Robustness Evaluation Based on Convolutional Neural Networks with Spatial Pyramid Pooling. CoRR abs/2308.08012 (2023) - [i7]Niraj Kumar, Romina Yalovetzky, Changhao Li, Pierre Minssen, Marco Pistoia:
Des-q: a quantum algorithm to construct and efficiently retrain decision trees for regression and binary classification. CoRR abs/2309.09976 (2023) - [i6]Niraj Kumar, Jamie Heredge, Changhao Li, Shaltiel Eloul, Shree Hari Sureshbabu, Marco Pistoia:
Expressive variational quantum circuits provide inherent privacy in federated learning. CoRR abs/2309.13002 (2023) - [i5]Changhao Li, Boning Li, Omar Amer, Ruslan Shaydulin, Shouvanik Chakrabarti, Guoqing Wang, Haowei Xu, Hao Tang, Isidor Schoch, Niraj Kumar, Charles Lim, Ju Li, Paola Cappellaro, Marco Pistoia:
Blind quantum machine learning with quantum bipartite correlator. CoRR abs/2310.12893 (2023) - [i4]Changhao Li, Niraj Kumar, Zhixin Song, Shouvanik Chakrabarti, Marco Pistoia:
Privacy-preserving quantum federated learning via gradient hiding. CoRR abs/2312.04447 (2023) - 2022
- [j3]Changhao Li, Jianfeng Li, Yuliang Yang:
First-Principle Derivation of Single-Photon Entropy and Maxwell-Jüttner Velocity Distribution. Entropy 24(11): 1609 (2022) - [j2]Junfu Guo, Changhao Li, Xi Xia, Ruizhen Hu, Ligang Liu:
Asynchronous Collaborative Autoscanning with Mode Switching for Multi-Robot Scene Reconstruction. ACM Trans. Graph. 41(6): 198:1-198:13 (2022) - [c2]Changhao Li, Zezhi Zheng:
A Corpus-Based Study of the Usage of Chinese Core Separable Words in the Use of Language. CLSW (1) 2022: 521-538 - [i3]Xue Sun, Changhao Li, Lei Yan, Suzhi Cao:
A Modeling of TSRCG and Resource Optimization for Multi-task Delivery Guarantee Algorithm Based on CGR Strategy in LEO Satellite Network. CoRR abs/2209.13227 (2022) - [i2]Xue Sun, Changhao Li, Lei Yan, Suzhi Cao:
Reinforcement Learning for Cognitive Delay/Disruption Tolerant Network Node Management in an LEO-based Satellite Constellation. CoRR abs/2209.13237 (2022) - [i1]Junfu Guo, Changhao Li, Xi Xia, Ruizhen Hu, Ligang Liu:
Asynchronous Collaborative Autoscanning with Mode Switching for Multi-Robot Scene Reconstruction. CoRR abs/2210.04413 (2022) - 2020
- [j1]Haifan Gong, Limin Chen, Changhao Li, Jun Zeng, Xichen Tao, Yue Wang:
Online Tracking and Relocation Based on a New Rotation-Invariant Haar-Like Statistical Descriptor in Endoscopic Examination. IEEE Access 8: 101867-101883 (2020) - [c1]Chengtao Cai, Changhao Li:
Dynamic positioning of marine vessel based on LQ controller optimized by the MPSO. EITCE 2020: 970-975
Coauthor Index
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