An Explainable Neural Radiomic Sequence Model with Spatiotemporal Continuity for Quantifying 4DCT-based Pulmonary Ventilation - Rihui Zhang; Haiming Zhu; Jingtong Zhao; Lei Zhang; Fang-Fang Yin; Chunhao Wang; Zhenyu Yang (CoRR, 2025)

Quantum Speedups for Markov Chain Monte Carlo Methods with Application to Optimization - Guneykan Ozgul; Xiantao Li; Mehrdad Mahdavi; Chunhao Wang (CoRR, 2025)

Embedding Radiomics into Vision Transformers for Multimodal Medical Image Classification - Zhenyu Yang; Haiming Zhu; Rihui Zhang; Haipeng Zhang; Jianliang Wang; Chunhao Wang; Minbin Chen; Fang-Fang Yin (CoRR, 2025)

Stochastic Quantum Sampling for Non-Logconcave Distributions and Estimating Partition Functions - Guneykan Ozgul; Xiantao Li; Mehrdad Mahdavi; Chunhao Wang (Forty-first International Conference on Machine Learning, ICML 2024, Vienna, Austria, July 21-27, 2024, 2024)

STD: Using Self-attention Discriminators to Improve Speech Synthesis - Kuan Guo; Xingyuan Chen; Yicui Peng; Bing Wang; Weishan Feng; Chunhao Wang; Peng Jin (Neural Information Processing - 31st International Conference, ICONIP 2024, Auckland, New Zealand, December 2-6, 2024, Proceedings, Part X, 2024)

Recommendation Algorithm Based on Refined Knowledge Graphs and Contrastive Learning - Bing Wang; Xiaoling Yang; Xingpeng Zhang; Chunlan Zhao; Chunhao Wang; Weishan Feng (Knowledge Science, Engineering and Management - 17th International Conference, KSEM 2024, Birmingham, UK, August 16-18, 2024, Proceedings, Part IV, 2024)

Multi-table Question Answering Method Based on Correlation Evaluation and Precomputed Cube - Bing Wang; Chunhao Wang; Xingpeng Zhang; Chunlan Zhao; Xiaoling Yang; Kuan Guo (Knowledge Science, Engineering and Management - 17th International Conference, KSEM 2024, Birmingham, UK, August 16-18, 2024, Proceedings, Part I, 2024)

Ground-State Energy and Related Properties Estimation in Quantum Chemistry with Linear Dependence on the Number of Atoms - Taehee Ko; Xiantao Li; Chunhao Wang (IEEE International Conference on Quantum Computing and Engineering, QCE 2024, Montreal, QC, Canada, September 15-20, 2024, 2024)

Efficient Optimal Control of Open Quantum Systems - Wenhao He; Tongyang Li; Xiantao Li; Zecheng Li; Chunhao Wang; Ke Wang (19th Conference on the Theory of Quantum Computation, Communication and Cryptography, TQC 2024, September 9-13, 2024, Okinawa, Japan, 2024)

The Brain Tumor Segmentation in Pediatrics (BraTS-PEDs) Challenge: Focus on Pediatrics (CBTN-CONNECT-DIPGR-ASNR-MICCAI BraTS-PEDs) - 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; et al. (CoRR, 2024)

Analysis of the BraTS 2023 Intracranial Meningioma Segmentation Challenge - 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; et al. (CoRR, 2024)

Brain Tumor Segmentation (BraTS) Challenge 2024: Meningioma Radiotherapy Planning Automated Segmentation - 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; et al. (CoRR, 2024)

BraTS-PEDs: Results of the Multi-Consortium International Pediatric Brain Tumor Segmentation Challenge 2023 - 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; et al. (CoRR, 2024)

Toward end-to-end quantum simulation for protein dynamics - Zhenning Liu; Xiantao Li; Chunhao Wang; Jin-Peng Liu (CoRR, 2024)

On the (Classical and Quantum) Fine-Grained Complexity of Log-Approximate CVP and Max-Cut - Jeremy Ahrens Huang; Young Kun Ko; Chunhao Wang (CoRR, 2024)

Thermal State Preparation via Rounding Promises - Patrick Rall; Chunhao Wang; Pawel Wocjan (Quantum, 2023)

Cloud Workload Turning Points Prediction via Cloud Feature-Enhanced Deep Learning - Li Ruan; Yu Bai; Shaoning Li; Jiaxun Lv; Tianyuan Zhang; Limin Xiao; Haiguang Fang; Chunhao Wang; Yunzhi Xue (IEEE Trans. Cloud Comput., 2023)

Simulating Markovian Open Quantum Systems Using Higher-Order Series Expansion - Xiantao Li; Chunhao Wang (50th International Colloquium on Automata, Languages, and Programming, ICALP 2023, July 10-14, 2023, Paderborn, Germany, 2023)

Efficient Quantum Algorithms for Quantum Optimal Control - Xiantao Li; Chunhao Wang (International Conference on Machine Learning, ICML 2023, 23-29 July 2023, Honolulu, Hawaii, USA, 2023)

A Radiomics-Incorporated Deep Ensemble Learning Model for Multi-Parametric MRI-based Glioma Segmentation - Yang Chen; Zhenyu Yang; Jingtong Zhao; Justus Adamson; Yang Sheng; Fang-Fang Yin; Chunhao Wang (CoRR, 2023)

Efficient Quantum Algorithms for Quantum Optimal Control - Xiantao Li; Chunhao Wang (CoRR, 2023)

The ASNR-MICCAI Brain Tumor Segmentation (BraTS) Challenge 2023: Intracranial Meningioma - Dominic LaBella; Maruf Adewole; Michelle Alonso-Basanta; Talissa Altes; Syed Muhammad Anwar; Ujjwal Baid; Timothy Bergquist; Radhika Bhalerao; Sully F. Chen; Verena Chung; Gian Marco Conte; Farouk Dako; et al. (CoRR, 2023)

The Brain Tumor Segmentation (BraTS) Challenge 2023: Local Synthesis of Healthy Brain Tissue via Inpainting - Florian Kofler; Felix Meissen; Felix Steinbauer; Robert Graf; Eva Oswald; Ezequiel de la Rosa; Hongwei Bran Li; Ujjwal Baid; Florian A. Hölzl; Özgün Turgut; Izabela Horvath; Diana Waldmannstetter; et al. (CoRR, 2023)

The Brain Tumor Segmentation (BraTS) Challenge 2023: Brain MR Image Synthesis for Tumor Segmentation (BraSyn) - 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; et al. (CoRR, 2023)

The Brain Tumor Segmentation (BraTS) Challenge 2023: Focus on Pediatrics (CBTN-CONNECT-DIPGR-ASNR-MICCAI BraTS-PEDs) - Anahita Fathi Kazerooni; Nastaran Khalili; Xinyang Liu; Debanjan Haldar; Zhifan Jiang; Syed Muhammad Anwar; Jake Albrecht; Maruf Adewole; Udunna Anazodo; Hannah Anderson; Sina Bagheri; Ujjwal Baid; et al. (CoRR, 2023)

The Brain Tumor Segmentation (BraTS) Challenge 2023: Glioma Segmentation in Sub-Saharan Africa Patient Population (BraTS-Africa) - 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; et al. (CoRR, 2023)

Implementation of the Density-functional Theory on Quantum Computers with Linear Scaling with respect to the Number of Atoms - Taehee Ko; Xiantao Li; Chunhao Wang (CoRR, 2023)

Stochastic Quantum Sampling for Non-Logconcave Distributions and Estimating Partition Functions - Guneykan Ozgul; Xiantao Li; Mehrdad Mahdavi; Chunhao Wang (CoRR, 2023)

Graph convolutional network with multiple weight mechanisms for aspect-based sentiment analysis - Ziguo Zhao; Mingwei Tang; Wei Tang; Chunhao Wang; Xiaoliang Chen (Neurocomputing, 2022)

Sampling-based Sublinear Low-rank Matrix Arithmetic Framework for Dequantizing Quantum Machine Learning - Nai-Hui Chia; András Pal Gilyén; Tongyang Li; Han-Hsuan Lin; Ewin Tang; Chunhao Wang (J. ACM, 2022)

Quantum Algorithms for Sampling Log-Concave Distributions and Estimating Normalizing Constants - Andrew M. Childs; Tongyang Li; Jin-Peng Liu; Chunhao Wang; Ruizhe Zhang (Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, NeurIPS 2022, New Orleans, LA, USA, November 28 - December 9, 2022, 2022)

A Neural Ordinary Differential Equation Model for Visualizing Deep Neural Network Behaviors in Multi-Parametric MRI based Glioma Segmentation - Zhenyu Yang; Zongsheng Hu; Hangjie Ji; Kyle J. Lafata; Scott Floyd; Fang-Fang Yin; Chunhao Wang (CoRR, 2022)

Quantifying U-Net Uncertainty in Multi-Parametric MRI-based Glioma Segmentation by Spherical Image Projection - Zhenyu Yang; Kyle J. Lafata; Eugene Vaios; Zongsheng Hu; Trey Mullikin; Fang-Fang Yin; Chunhao Wang (CoRR, 2022)

Quantum Algorithms for Sampling Log-Concave Distributions and Estimating Normalizing Constants - Andrew M. Childs; Tongyang Li; Jin-Peng Liu; Chunhao Wang; Ruizhe Zhang (CoRR, 2022)

Predicting high-resolution turbulence details in space and time - Kai Bai; Chunhao Wang; Mathieu Desbrun; Xiaopei Liu (ACM Trans. Graph., 2021)

Sublinear Classical and Quantum Algorithms for General Matrix Games - Tongyang Li; Chunhao Wang; Shouvanik Chakrabarti; Xiaodi Wu (Thirty-Fifth AAAI Conference on Artificial Intelligence, AAAI 2021, Thirty-Third Conference on Innovative Applications of Artificial Intelligence, IAAI 2021, The Eleventh Symposium on Educational Advances in Artificial Intelligence, EAAI 2021, Virtual Event, February 2-9, 2021, 2021)

Spectral Clustering Joint Deep Embedding Learning by Autoencoder - Xiucai Ye; Chunhao Wang; Akira Imakura; Tetsuya Sakurai (International Joint Conference on Neural Networks, IJCNN 2021, Shenzhen, China, July 18-22, 2021, 2021)

Post-Radiotherapy PET Image Outcome Prediction by Deep Learning under Biological Model Guidance: A Feasibility Study of Oropharyngeal Cancer Application - Hangjie Ji; Kyle J. Lafata; Yvonne M. Mowery; David Brizel; Andrea L. Bertozzi; Fang-Fang Yin; Chunhao Wang (CoRR, 2021)

Fluence Map Prediction Using Deep Learning Models - Direct Plan Generation for Pancreas Stereotactic Body Radiation Therapy - Wentao Wang; Yang Sheng; Chunhao Wang; Jiahan Zhang; Xinyi Li; Manisha Palta; Brian Czito; Christopher G. Willett; Qiuwen Wu; Yaorong Ge; Fang-Fang Yin; Qingrong Jackie Wu (Frontiers Artif. Intell., 2020)

A quantum algorithm for simulating non-sparse Hamiltonians - Chunhao Wang; Leonard Wossnig (Quantum Inf. Comput., 2020)

On the Quantum Complexity of Closest Pair and Related Problems - Scott Aaronson; Nai-Hui Chia; Han-Hsuan Lin; Chunhao Wang; Ruizhe Zhang (35th Computational Complexity Conference, CCC 2020, July 28-31, 2020, Saarbrücken, Germany (Virtual Conference), 2020)

Quantum-Inspired Algorithms for Solving Low-Rank Linear Equation Systems with Logarithmic Dependence on the Dimension - Nai-Hui Chia; András Gilyén; Han-Hsuan Lin; Seth Lloyd; Ewin Tang; Chunhao Wang (31st International Symposium on Algorithms and Computation, ISAAC 2020, December 14-18, 2020, Hong Kong, China (Virtual Conference), 2020)

Quantum-Inspired Sublinear Algorithm for Solving Low-Rank Semidefinite Programming - Nai-Hui Chia; Tongyang Li; Han-Hsuan Lin; Chunhao Wang (45th International Symposium on Mathematical Foundations of Computer Science, MFCS 2020, August 24-28, 2020, Prague, Czech Republic, 2020)

Sampling-based sublinear low-rank matrix arithmetic framework for dequantizing quantum machine learning - Nai-Hui Chia; András Gilyén; Tongyang Li; Han-Hsuan Lin; Ewin Tang; Chunhao Wang (Proceedings of the 52nd Annual ACM SIGACT Symposium on Theory of Computing, STOC 2020, Chicago, IL, USA, June 22-26, 2020, 2020)

Sublinear classical and quantum algorithms for general matrix games - Tongyang Li; Chunhao Wang; Shouvanik Chakrabarti; Xiaodi Wu (CoRR, 2020)

Quantum-inspired classical sublinear-time algorithm for solving low-rank semidefinite programming via sampling approaches - Nai-Hui Chia; Tongyang Li; Han-Hsuan Lin; Chunhao Wang (CoRR, 2019)

Quantum algorithm for estimating volumes of convex bodies - Shouvanik Chakrabarti; Andrew M. Childs; Shih-Han Hung; Tongyang Li; Chunhao Wang; Xiaodi Wu (CoRR, 2019)

Sampling-based sublinear low-rank matrix arithmetic framework for dequantizing quantum machine learning - Nai-Hui Chia; András Gilyén; Tongyang Li; Han-Hsuan Lin; Ewin Tang; Chunhao Wang (CoRR, 2019)

On the Quantum Complexity of Closest Pair and Related Problems - Scott Aaronson; Nai-Hui Chia; Han-Hsuan Lin; Chunhao Wang; Ruizhe Zhang (CoRR, 2019)

A quantum algorithm for simulating non-sparse Hamiltonians - Chunhao Wang; Leonard Wossnig (CoRR, 2018)

Quantum-inspired sublinear classical algorithms for solving low-rank linear systems - Nai-Hui Chia; Han-Hsuan Lin; Chunhao Wang (CoRR, 2018)

Efficient Quantum Algorithms for Simulating Lindblad Evolution - Richard Cleve; Chunhao Wang (44th International Colloquium on Automata, Languages, and Programming, ICALP 2017, July 10-14, 2017, Warsaw, Poland, 2017)

Near-linear constructions of exact unitary 2-designs - Richard Cleve; Debbie W. Leung; Li Liu; Chunhao Wang (Quantum Inf. Comput., 2016)

Global register alias table: Boosting sequential program on multi-core - Jianliang Ma; Chunhao Wang; Baozhong Yu; Tianzhou Chen (Future Gener. Comput. Syst., 2012)

Computational Study on Bidimensionality Theory Based Algorithm for Longest Path Problem - Chunhao Wang; Qian-Ping Gu (Algorithms and Computation - 22nd International Symposium, ISAAC 2011, Yokohama, Japan, December 5-8, 2011. Proceedings, 2011)

Global Register Alias Table: Executing Sequential Program on Multi-Core - Chunhao Wang; Lihan Ju; Di Wu; Lingxiang Xiang; Wei Hu; Tianzhou Chen (10th IEEE International Conference on Computer and Information Technology, CIT 2010, Bradford, West Yorkshire, UK, June 29-July 1, 2010, 2010)