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Chunhao Wang
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2020 – today
- 2024
- [c16]Guneykan Ozgul, Xiantao Li, Mehrdad Mahdavi, Chunhao Wang:
Stochastic Quantum Sampling for Non-Logconcave Distributions and Estimating Partition Functions. ICML 2024 - [c15]Bing Wang
, Xiaoling Yang
Recommendation Algorithm Based on Refined Knowledge Graphs and Contrastive Learning. KSEM (4) 2024: 205-217 - [c14]Bing Wang
Multi-table Question Answering Method Based on Correlation Evaluation and Precomputed Cube. KSEM (1) 2024: 393-405 - [c13]Wenhao He, Tongyang Li, Xiantao Li, Zecheng Li, Chunhao Wang, Ke Wang:
Efficient Optimal Control of Open Quantum Systems. TQC 2024: 3:1-3:23 - [i24]Anahita Fathi Kazerooni, Nastaran Khalili, Deep Gandhi, Xinyang Liu, Zhifan Jiang, Syed Muhammed Anwar, Jake Albrecht, Maruf Adewole, Udunna Anazodo, Hannah Anderson, Sina Bagheri, Ujjwal Baid, Timothy Bergquist, Austin J. Borja, Evan Calabrese, Verena Chung, Gian Marco Conte, Farouk Dako, James A. Eddy, Ivan Ezhov, Ariana Familiar, Keyvan Farahani, Anurag Gottipati, Debanjan Haldar, Shuvanjan Haldar, Juan Eugenio Iglesias, Anastasia Janas, Elaine Johansen, Blaise V. Jones, Neda Khalili, Florian Kofler, Dominic LaBella, Hollie Anne Lai, Koen Van Leemput
The Brain Tumor Segmentation in Pediatrics (BraTS-PEDs) Challenge: Focus on Pediatrics (CBTN-CONNECT-DIPGR-ASNR-MICCAI BraTS-PEDs). CoRR abs/2404.15009 (2024) - [i23]Dominic LaBella, Ujjwal Baid, Omaditya Khanna, Shan McBurney-Lin, Ryan McLean, Pierre Nedelec, Arif Rashid, Nourel Hoda Tahon, Talissa Altes, Radhika Bhalerao, Yaseen Dhemesh, Devon Godfrey, Fathi Hilal, Scott Floyd, Anastasia Janas, Anahita Fathi Kazerooni, John Kirkpatrick, Collin Kent, Florian Kofler, Kevin Leu, Nazanin Maleki, Bjoern H. Menze, Maxence Pajot, Zachary J. Reitman, Jeffrey D. Rudie, Rachit Saluja, Yury Velichko, Chunhao Wang, Pranav Warman, Maruf Adewole, Jake Albrecht, Udunna Anazodo, Syed Muhammad Anwar, Timothy Bergquist, Sully F. Chen, Verena Chung, Gian Marco Conte, Farouk Dako, James A. Eddy, Ivan Ezhov, Nastaran Khalili, Juan Eugenio Iglesias, Zhifan Jiang, Elaine Johanson, Koen Van Leemput
Analysis of the BraTS 2023 Intracranial Meningioma Segmentation Challenge. CoRR abs/2405.09787 (2024) - [i22]Dominic LaBella, Katherine Schumacher, Michael Mix, Kevin Leu, Shan McBurney-Lin, Pierre Nedelec, Javier E. Villanueva-Meyer, Jonathan Shapey, Tom Vercauteren, Kazumi Chia, Omar Al-Salihi, Justin Leu, Lia Halasz, Yury Velichko, Chunhao Wang, John Kirkpatrick, Scott Floyd, Zachary J. Reitman, Trey Mullikin, Ulas Bagci, Sean Sachdev, Jona A. Hattangadi-Gluth, Tyler M. Seibert, Nikdokht Farid, Connor Puett, Matthew W. Pease, Kevin Shiue, Syed Muhammad Anwar, Shahriar Faghani, Muhammad Ammar Haider, Pranav I. Warman, Jake Albrecht, András Jakab, Mana Moassefi, Verena Chung, Alejandro Aristizabal, Alexandros Karargyris, Hasan Kassem, Sarthak Pati, Micah J. Sheller, Christina Huang, Aaron Coley, Siddharth Ghanta, Alex Schneider, Conrad Sharp, Rachit Saluja, Florian Kofler, Philipp Lohmann, Philipp Vollmuth, Louis Gagnon, Maruf Adewole, Hongwei Bran Li, Anahita Fathi Kazerooni, Nourel Hoda Tahon, Udunna Anazodo, Ahmed W. Moawad, Bjoern H. Menze, Marius George Linguraru, Mariam Aboian, Benedikt Wiestler, Ujjwal Baid, Gian Marco Conte, Andreas M. Rauschecker, Ayman Nada, Aly H. Abayazeed, Raymond Y. Huang, Maria Correia de Verdier, Jeffrey D. Rudie, Spyridon Bakas, Evan Calabrese:
Brain Tumor Segmentation (BraTS) Challenge 2024: Meningioma Radiotherapy Planning Automated Segmentation. CoRR abs/2405.18383 (2024) - [i21]Anahita Fathi Kazerooni, Nastaran Khalili, Xinyang Liu, Debanjan Haldar, Zhifan Jiang, Anna Zapaishchykova, Julija Pavaine, Lubdha M. Shah, Blaise V. Jones, Nakul Sheth, Sanjay P. Prabhu, Aaron S. McAllister, Wenxin Tu, Khanak K. Nandolia, Andres Felipe Rodriguez, Ibraheem Salman Shaikh, Mariana Sanchez-Montano, Hollie Anne Lai, Maruf Adewole, Jake Albrecht, Udunna Anazodo, Hannah Anderson, Syed Muhammed Anwar, Alejandro Aristizabal, Sina Bagheri, Ujjwal Baid, Timothy Bergquist, Austin J. Borja, Evan Calabrese, Verena Chung, Gian Marco Conte, James A. Eddy, Ivan Ezhov, Ariana M. Familiar, Keyvan Farahani, Deep Gandhi, Anurag Gottipati, Shuvanjan Haldar, Juan Eugenio Iglesias, Anastasia Janas, Elaine Elaine, Alexandros Karargyris, Hasan Kassem, Neda Khalili, Florian Kofler, Dominic LaBella, Koen Van Leemput, Hongwei Li, Nazanin Maleki, Zeke Meier, Bjoern H. Menze, Ahmed W. Moawad, Sarthak Pati, Marie Piraud, Tina Poussaint, Zachary J. Reitman, Jeffrey D. Rudie, Rachit Saluja, Micah J. Sheller, Russell Takeshi Shinohara, Karthik Viswanathan, Chunhao Wang, Benedikt Wiestler, Walter F. Wiggins, Christos Davatzikos, Phillip B. Storm, Miriam Bornhorst, Roger J. Packer, Trent Hummel, Peter de Blank, Lindsey Hoffman, Mariam Aboian, Ali Nabavizadeh, Jeffrey B. Ware, Benjamin H. Kann, Brian Rood, Adam C. Resnick, Spyridon Bakas, Arastoo Vossough, Marius George Linguraru:
BraTS-PEDs: Results of the Multi-Consortium International Pediatric Brain Tumor Segmentation Challenge 2023. CoRR abs/2407.08855 (2024) - 2023
- [j9]Patrick Rall, Chunhao Wang, Pawel Wocjan:
Thermal State Preparation via Rounding Promises. Quantum 7: 1132 (2023) - [j8]Li Ruan
Cloud Workload Turning Points Prediction via Cloud Feature-Enhanced Deep Learning. IEEE Trans. Cloud Comput. 11(2): 1719-1732 (2023) - [c12]Xiantao Li, Chunhao Wang:
Simulating Markovian Open Quantum Systems Using Higher-Order Series Expansion. ICALP 2023: 87:1-87:20 - [c11]Xiantao Li, Chunhao Wang:
Efficient Quantum Algorithms for Quantum Optimal Control. ICML 2023: 19982-19994 - [i20]Yang Chen, Zhenyu Yang, Jingtong Zhao, Justus Adamson, Yang Sheng, Fang-Fang Yin, Chunhao Wang:
A Radiomics-Incorporated Deep Ensemble Learning Model for Multi-Parametric MRI-based Glioma Segmentation. CoRR abs/2303.10533 (2023) - [i19]Xiantao Li, Chunhao Wang:
Efficient Quantum Algorithms for Quantum Optimal Control. CoRR abs/2304.02613 (2023) - [i18]Dominic LaBella, Maruf Adewole, Michelle Alonso-Basanta, Talissa Altes, Syed Muhammad Anwar, Ujjwal Baid, Timothy Bergquist, Radhika Bhalerao, Sully F. Chen
The ASNR-MICCAI Brain Tumor Segmentation (BraTS) Challenge 2023: Intracranial Meningioma. CoRR abs/2305.07642 (2023) - [i17]Florian Kofler, Felix Meissen, Felix Steinbauer
The Brain Tumor Segmentation (BraTS) Challenge 2023: Local Synthesis of Healthy Brain Tissue via Inpainting. CoRR abs/2305.08992 (2023) - [i16]Hongwei Bran Li, Gian Marco Conte, Syed Muhammad Anwar, Florian Kofler, Koen Van Leemput, Marie Piraud, Ivan Ezhov, Felix Meissen, Maruf Adewole, Anastasia Janas, Anahita Fathi Kazerooni, Dominic LaBella, Ahmed W. Moawad, Keyvan Farahani, James A. Eddy, Timothy Bergquist, Verena Chung, Russell Takeshi Shinohara, Farouk Dako, Walter I. Wiggins, Zachary Reitman, Chunhao Wang, Xinyang Liu, Zhifan Jiang, Ariana Familiar, Elaine Johanson, Zeke Meier, Christos Davatzikos, John B. Freymann, Justin S. Kirby, Michel Bilello, Hassan M. Fathallah-Shaykh, Roland Wiest, Jan Kirschke, Rivka R. Colen, Aikaterini Kotrotsou, Pamela LaMontagne, Daniel S. Marcus, Mikhail Milchenko, Arash Nazeri, Marc-André Weber, Abhishek Mahajan, Suyash Mohan, John Mongan, Christopher Hess, Soonmee Cha, Javier E. Villanueva-Meyer, Errol Colak, Priscila Crivellaro, András Jakab, Jake Albrecht, Udunna Anazodo, Mariam Aboian, Thomas Yu, Ujjwal Baid, Spyridon Bakas, Marius George Linguraru, Bjoern H. Menze, Juan Eugenio Iglesias, Benedikt Wiestler:
The Brain Tumor Segmentation (BraTS) Challenge 2023: Brain MR Image Synthesis for Tumor Segmentation (BraSyn). CoRR abs/2305.09011 (2023) - [i15]Anahita Fathi Kazerooni, Nastaran Khalili, Xinyang Liu, Debanjan Haldar, Zhifan Jiang, Syed Muhammad Anwar, Jake Albrecht, Maruf Adewole, Udunna Anazodo, Hannah Anderson, Sina Bagheri
The Brain Tumor Segmentation (BraTS) Challenge 2023: Focus on Pediatrics (CBTN-CONNECT-DIPGR-ASNR-MICCAI BraTS-PEDs). CoRR abs/2305.17033 (2023) - [i14]Maruf Adewole, Jeffrey D. Rudie, Anu Gbadamosi, Oluyemisi Toyobo, Raymond Confidence, Dong Zhang, Olubukola Omidiji, Rachel Akinola, Mohammad Abba Suwaid, Adaobi Emegoakor, Nancy Ojo, Kenneth Aguh, Chinasa Kalaiwo, Gabriel Babatunde, Afolabi Ogunleye, Yewande Gbadamosi, Kator Iorpagher, Evan Calabrese, Mariam Aboian, Marius George Linguraru, Jake Albrecht, Benedikt Wiestler, Florian Kofler, Anastasia Janas, Dominic LaBella, Anahita Fathi Kazerooni, Hongwei Bran Li, Juan Eugenio Iglesias, Keyvan Farahani, James A. Eddy, Timothy Bergquist, Verena Chung, Russell Takeshi Shinohara, Walter I. Wiggins, Zachary Reitman, Chunhao Wang, Xinyang Liu, Zhifan Jiang, Ariana Familiar, Koen Van Leemput, Christina Bukas, Marie Piraud, Gian Marco Conte, Elaine Johanson, Zeke Meier, Bjoern H. Menze, Ujjwal Baid, Spyridon Bakas, Farouk Dako, Abiodun Fatade, Udunna Anazodo:
The Brain Tumor Segmentation (BraTS) Challenge 2023: Glioma Segmentation in Sub-Saharan Africa Patient Population (BraTS-Africa). CoRR abs/2305.19369 (2023) - [i13]Taehee Ko, Xiantao Li, Chunhao Wang:
Implementation of the Density-functional Theory on Quantum Computers with Linear Scaling with respect to the Number of Atoms. CoRR abs/2307.07067 (2023) - [i12]Guneykan Ozgul, Xiantao Li, Mehrdad Mahdavi, Chunhao Wang:
Stochastic Quantum Sampling for Non-Logconcave Distributions and Estimating Partition Functions. CoRR abs/2310.11445 (2023) - 2022
- [j7]Ziguo Zhao, Mingwei Tang, Wei Tang, Chunhao Wang, Xiaoliang Chen
Graph convolutional network with multiple weight mechanisms for aspect-based sentiment analysis. Neurocomputing 500: 124-134 (2022) - [j6]Nai-Hui Chia
Sampling-based Sublinear Low-rank Matrix Arithmetic Framework for Dequantizing Quantum Machine Learning. J. ACM 69(5): 33:1-33:72 (2022) - [c10]Andrew M. Childs, Tongyang Li, Jin-Peng Liu, Chunhao Wang, Ruizhe Zhang:
Quantum Algorithms for Sampling Log-Concave Distributions and Estimating Normalizing Constants. NeurIPS 2022 - [i11]Zhenyu Yang, Zongsheng Hu, Hangjie Ji, Kyle J. Lafata, Scott Floyd, Fang-Fang Yin, Chunhao Wang:
A Neural Ordinary Differential Equation Model for Visualizing Deep Neural Network Behaviors in Multi-Parametric MRI based Glioma Segmentation. CoRR abs/2203.00628 (2022) - [i10]Zhenyu Yang, Kyle J. Lafata, Eugene Vaios, Zongsheng Hu, Trey Mullikin, Fang-Fang Yin, Chunhao Wang:
Quantifying U-Net Uncertainty in Multi-Parametric MRI-based Glioma Segmentation by Spherical Image Projection. CoRR abs/2210.06512 (2022) - [i9]Andrew M. Childs, Tongyang Li, Jin-Peng Liu, Chunhao Wang, Ruizhe Zhang:
Quantum Algorithms for Sampling Log-Concave Distributions and Estimating Normalizing Constants. CoRR abs/2210.06539 (2022) - 2021
- [j5]Kai Bai, Chunhao Wang, Mathieu Desbrun, Xiaopei Liu:
Predicting high-resolution turbulence details in space and time. ACM Trans. Graph. 40(6): 200:1-200:16 (2021) - [c9]Tongyang Li, Chunhao Wang, Shouvanik Chakrabarti, Xiaodi Wu:
Sublinear Classical and Quantum Algorithms for General Matrix Games. AAAI 2021: 8465-8473 - [c8]Xiucai Ye, Chunhao Wang, Akira Imakura, Tetsuya Sakurai:
Spectral Clustering Joint Deep Embedding Learning by Autoencoder. IJCNN 2021: 1-7 - [i8]Hangjie Ji, Kyle J. Lafata, Yvonne M. Mowery, David Brizel, Andrea L. Bertozzi, Fang-Fang Yin, Chunhao Wang:
Post-Radiotherapy PET Image Outcome Prediction by Deep Learning under Biological Model Guidance: A Feasibility Study of Oropharyngeal Cancer Application. CoRR abs/2105.10650 (2021) - 2020
- [j4]Wentao Wang
Fluence Map Prediction Using Deep Learning Models - Direct Plan Generation for Pancreas Stereotactic Body Radiation Therapy. Frontiers Artif. Intell. 3: 68 (2020) - [j3]Chunhao Wang, Leonard Wossnig:
A quantum algorithm for simulating non-sparse Hamiltonians. Quantum Inf. Comput. 20(7&8): 597-615 (2020) - [c7]Scott Aaronson, Nai-Hui Chia, Han-Hsuan Lin, Chunhao Wang, Ruizhe Zhang:
On the Quantum Complexity of Closest Pair and Related Problems. CCC 2020: 16:1-16:43 - [c6]Nai-Hui Chia, András Gilyén, Han-Hsuan Lin, Seth Lloyd, Ewin Tang, Chunhao Wang:
Quantum-Inspired Algorithms for Solving Low-Rank Linear Equation Systems with Logarithmic Dependence on the Dimension. ISAAC 2020: 47:1-47:17 - [c5]Nai-Hui Chia, Tongyang Li
Quantum-Inspired Sublinear Algorithm for Solving Low-Rank Semidefinite Programming. MFCS 2020: 23:1-23:15 - [c4]Nai-Hui Chia, András Gilyén, Tongyang Li
Sampling-based sublinear low-rank matrix arithmetic framework for dequantizing quantum machine learning. STOC 2020: 387-400 - [i7]Tongyang Li, Chunhao Wang, Shouvanik Chakrabarti, Xiaodi Wu:
Sublinear classical and quantum algorithms for general matrix games. CoRR abs/2012.06519 (2020)
2010 – 2019
- 2019
- [i6]Nai-Hui Chia, Tongyang Li
Quantum-inspired classical sublinear-time algorithm for solving low-rank semidefinite programming via sampling approaches. CoRR abs/1901.03254 (2019) - [i5]Shouvanik Chakrabarti, Andrew M. Childs, Shih-Han Hung, Tongyang Li
Quantum algorithm for estimating volumes of convex bodies. CoRR abs/1908.03903 (2019) - [i4]Nai-Hui Chia, András Gilyén, Tongyang Li
Sampling-based sublinear low-rank matrix arithmetic framework for dequantizing quantum machine learning. CoRR abs/1910.06151 (2019) - [i3]Scott Aaronson, Nai-Hui Chia, Han-Hsuan Lin, Chunhao Wang, Ruizhe Zhang:
On the Quantum Complexity of Closest Pair and Related Problems. CoRR abs/1911.01973 (2019) - 2018
- [i2]Chunhao Wang, Leonard Wossnig:
A quantum algorithm for simulating non-sparse Hamiltonians. CoRR abs/1803.08273 (2018) - [i1]Nai-Hui Chia, Han-Hsuan Lin, Chunhao Wang:
Quantum-inspired sublinear classical algorithms for solving low-rank linear systems. CoRR abs/1811.04852 (2018) - 2017
- [c3]Richard Cleve, Chunhao Wang:
Efficient Quantum Algorithms for Simulating Lindblad Evolution. ICALP 2017: 17:1-17:14 - 2016
- [j2]Richard Cleve, Debbie W. Leung, Li Liu, Chunhao Wang:
Near-linear constructions of exact unitary 2-designs. Quantum Inf. Comput. 16(9&10): 721-756 (2016) - 2012
- [j1]Jianliang Ma, Chunhao Wang, Baozhong Yu, Tianzhou Chen:
Global register alias table: Boosting sequential program on multi-core. Future Gener. Comput. Syst. 28(6): 957-964 (2012) - 2011
- [c2]Chunhao Wang, Qian-Ping Gu:
Computational Study on Bidimensionality Theory Based Algorithm for Longest Path Problem. ISAAC 2011: 364-373 - 2010
- [c1]Chunhao Wang, Lihan Ju, Di Wu, Lingxiang Xiang, Wei Hu, Tianzhou Chen:
Global Register Alias Table: Executing Sequential Program on Multi-Core. CIT 2010: 1818-1824
Coauthor Index
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