Electron-Proton Dynamics in Deep Learning. - Qiuyi Zhang 001; Rina Panigrahy; Sushant Sachdeva (CoRR, 2017)

Forbidden directed minors and Kelly-width. - Shiva Kintali; Qiuyi Zhang 001 (Theor. Comput. Sci., 2017)

Convergence Results for Neural Networks via Electrodynamics. - Rina Panigrahy; Ali Rahimi; Sushant Sachdeva; Qiuyi Zhang 001 (ITCS, 2018)

New Absolute Fast Converging Phylogeny Estimation Methods with Improved Scalability and Accuracy. - Qiuyi (Richard) Zhang; Satish Rao; Tandy J. Warnow (WABI, 2018)

Using INC Within Divide-and-Conquer Phylogeny Estimation. - Thien Le; Aaron Sy; Erin K. Molloy; Qiuyi (Richard) Zhang; Satish Rao; Tandy J. Warnow (AlCoB, 2019)

Solving Empirical Risk Minimization in the Current Matrix Multiplication Time. - Yin Tat Lee; Zhao Song 002; Qiuyi Zhang 001 (COLT, 2019)

Regularized Weighted Low Rank Approximation. - Frank Ban; David P. Woodruff; Qiuyi (Richard) Zhang (NeurIPS, 2019)

Optimal sequence length requirements for phylogenetic tree reconstruction with indels. - Arun Ganesh; Qiuyi (Richard) Zhang (STOC, 2019)

Constrained incremental tree building: new absolute fast converging phylogeny estimation methods with improved scalability and accuracy. - Qiuyi Zhang 001; Satish Rao; Tandy J. Warnow (Algorithms Mol. Biol., 2019)

Fast Algorithms for Interior Point Methods. - Qiuyi (Richard) Zhang (2019)

Gradientless Descent: High-Dimensional Zeroth-Order Optimization. - Daniel Golovin; John Karro; Greg Kochanski; Chansoo Lee; Xingyou Song; Qiuyi (Richard) Zhang (ICLR, 2020)

Span Recovery for Deep Neural Networks with Applications to Input Obfuscation. - Rajesh Jayaram; David P. Woodruff; Qiuyi Zhang 001 (ICLR, 2020)

Random Hypervolume Scalarizations for Provable Multi-Objective Black Box Optimization. - Qiuyi (Richard) Zhang; Daniel Golovin (ICML, 2020)

Learning the gravitational force law and other analytic functions. - Atish Agarwala; Abhimanyu Das; Rina Panigrahy; Qiuyi Zhang 001 (CoRR, 2020)

One Network Fits All? Modular versus Monolithic Task Formulations in Neural Networks. - Atish Agarwala; Abhimanyu Das; Brendan Juba; Rina Panigrahy; Vatsal Sharan; Xin Wang 116; Qiuyi Zhang 001 (ICLR, 2021)

Optimal Sketching for Trace Estimation. - Shuli Jiang; Hai Pham; David P. Woodruff; Qiuyi (Richard) Zhang (NeurIPS, 2021)

Using Constrained-INC for Large-Scale Gene Tree and Species Tree Estimation. - Thien Le; Aaron Sy; Erin K. Molloy; Qiuyi Zhang 001; Satish Rao; Tandy J. Warnow (IEEE ACM Trans. Comput. Biol. Bioinform., 2021)

Leveraging Initial Hints for Free in Stochastic Linear Bandits. - Ashok Cutkosky; Christoph Dann; Abhimanyu Das; Qiuyi (Richard) Zhang (ALT, 2022)

Towards Learning Universal Hyperparameter Optimizers with Transformers. - Yutian Chen 001; Xingyou Song; Chansoo Lee; Zi Wang; Richard Zhang 003; David Dohan; Kazuya Kawakami; Greg Kochanski; Arnaud Doucet; Marc'Aurelio Ranzato; Sagi Perel; Nando de Freitas (NeurIPS, 2022)

Optimal Query Complexities for Dynamic Trace Estimation. - David P. Woodruff; Fred Zhang; Richard Zhang 003 (NeurIPS, 2022)

Robust Algorithms on Adaptive Inputs from Bounded Adversaries. - Yeshwanth Cherapanamjeri; Sandeep Silwal; David P. Woodruff; Fred Zhang; Qiuyi Zhang 001; Samson Zhou (ICLR, 2023)

Computing Approximate 𝓁p Sensitivities. - Swati Padmanabhan; David P. Woodruff; Richard Zhang 003 (NeurIPS, 2023)

Hardness of Low Rank Approximation of Entrywise Transformed Matrix Products. - Tamás Sarlós; Xingyou Song; David P. Woodruff; Richard Zhang 003 (NeurIPS, 2023)

Leveraging Contextual Counterfactuals Toward Belief Calibration. - Qiuyi Zhang 001; Michael S. Lee; Sherol Chen (CoRR, 2023)

Getting aligned on representational alignment. - Ilia Sucholutsky; Lukas Muttenthaler; Adrian Weller; Andi Peng; Andreea Bobu; Been Kim; Bradley C. Love; Erin Grant; Jascha Achterberg; Joshua B. Tenenbaum; Katherine M. Collins; Katherine L. Hermann; et al. (CoRR, 2023)

Ontology of Belief Diversity: A Community-Based Epistemological Approach. - Richard Zhang 003; Erin van Liemt; Tyler Fischella (AIES (1), 2024)

Adaptive Regret for Bandits Made Possible: Two Queries Suffice. - Zhou Lu; Qiuyi Zhang 001; Xinyi Chen 001; Fred Zhang; David P. Woodruff; Elad Hazan (ICLR, 2024)

Set Learning for Accurate and Calibrated Models. - Lukas Muttenthaler; Robert A. Vandermeulen; Qiuyi Zhang 001; Thomas Unterthiner; Klaus-Robert Müller (ICLR, 2024)

Preference Learning Algorithms Do Not Learn Preference Rankings. - Angelica Chen; Sadhika Malladi; Lily H. Zhang; Xinyi Chen 001; Qiuyi (Richard) Zhang; Rajesh Ranganath; Kyunghyun Cho (NeurIPS, 2024)

Optimal Scalarizations for Sublinear Hypervolume Regret. - Qiuyi (Richard) Zhang (NeurIPS, 2024)

Quantifying Spuriousness of Biased Datasets Using Partial Information Decomposition. - Barproda Halder; Faisal Hamman; Pasan Dissanayake; Qiuyi Zhang 001; Ilia Sucholutsky; Sanghamitra Dutta (CoRR, 2024)

The Vizier Gaussian Process Bandit Algorithm. - Xingyou Song; Qiuyi Zhang 001; Chansoo Lee; Emily Fertig; Tzu-Kuo Huang; Lior Belenki; Greg Kochanski; Setareh Ariafar; Srinivas Vasudevan; Sagi Perel; Daniel Golovin (CoRR, 2024)

Predicting from Strings: Language Model Embeddings for Bayesian Optimization. - Tung Nguyen; Qiuyi Zhang 001; Bangding Yang; Chansoo Lee; Jörg Bornschein; Yingjie Miao; Sagi Perel; Yutian Chen 001; Xingyou Song (CoRR, 2024)

Optimized Tradeoffs for Private Prediction with Majority Ensembling. - Shuli Jiang; Qiuyi Zhang 001; Gauri Joshi (Trans. Mach. Learn. Res., 2024)

Quantifying Knowledge Distillation using Partial Information Decomposition. - Pasan Dissanayake; Faisal Hamman; Barproda Halder; Ilia Sucholutsky; Qiuyi Zhang 001; Sanghamitra Dutta (AISTATS, 2025)

Beyond Worst-Case Dimensionality Reduction for Sparse Vectors. - Sandeep Silwal; David P. Woodruff; Qiuyi Zhang 001 (ICLR, 2025)