Hoang Tran - RankMe

38 papers A* 5A 1Journal 30Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	Are LLMs Ready for Competitive Programming? An Empirical Study. ICSIE Tran Tri Dang, Jaronie Mohd Jani, Huo-Chong Ling, Linh Duc Tran, Quang Tran, Quy Nguyen, Hoang Tran, Thanh Chi Pham
2026	J	`jnl`	Cyberscurity Threats and Defense Mechanisms in IoT network. CoRR Trung Dao, Minh Nguyen, Son Do, Hoang Tran
2025	J	`jnl`	Convergence analysis for a nonlocal gradient descent method via directional Gaussian smoothing. Comput. Optim. Appl. Hoang Tran, Qiang Du, Guannan Zhang
2025	J	`jnl`	Diffusion-based supervised learning of generative models for efficient sampling of multimodal distributions. CoRR Hoang Tran, Zezhong Zhang, Feng Bao, Dan Lu, Guannan Zhang
2025	J	`jnl`	Ensemble score filter with image inpainting for data assimilation in tracking surface quasi-geostrophic dynamics with partial observations. CoRR Siming Liang, Hoang Tran, Feng Bao, Hristo G. Chipilski, Peter Jan van Leeuwen, Guannan Zhang
2025	J	`jnl`	HydroEcoLSTM: A Python package with graphical user interface for hydro-ecological modeling with long short-term memory neural network. Ecol. Informatics Tam V. Nguyen, Vinh Ngoc Tran, Hoang Tran, Doan Van Binh, Toan D. Duong, Thanh Duc Dang, Pia Ebeling
2024	J	`jnl`	Agricultural Landscape Understanding At Country-Scale. CoRR Radhika Dua, Nikita Saxena, Aditi Agarwal, Alex Wilson, Gaurav Singh, Hoang Tran, Ishan Deshpande, Amandeep Kaur, Gaurav Aggarwal, Chandan Nath, Arnab Basu, Vishal Batchu, Sharath Holla, Bindiya Kurle, Olana Missura, Rahul Aggarwal, Shubhika Garg, Nishi Shah, Avneet Singh, Dinesh Tewari, Agata Dondzik, Bharat Adsul, Milind A. Sohoni, Asim Rama Praveen, Aaryan Dangi, Lisan Kadivar, E. Abhishek, Niranjan Sudhansu, Kamlakar Hattekar, Sameer Datar, Musty Krishna Chaithanya, Anumas Ranjith Reddy, Aashish Kumar, Betala Laxmi Tirumala, Alok Talekar
2024	J	`jnl`	Empirical Tests of Optimization Assumptions in Deep Learning. CoRR Hoang Tran, Qinzi Zhang, Ashok Cutkosky
2024	A*	`conf`	Private Zeroth-Order Nonsmooth Nonconvex Optimization. ICLR Qinzi Zhang, Hoang Tran, Ashok Cutkosky
2024	J	`jnl`	Private Zeroth-Order Nonsmooth Nonconvex Optimization. CoRR Qinzi Zhang, Hoang Tran, Ashok Cutkosky
2023	J	`jnl`	Convergence analysis for a nonlocal gradient descent method via directional Gaussian smoothing. CoRR Hoang Tran, Qiang Du, Guannan Zhang
2023	J	`jnl`	Orthogonally weighted 𝓁 CoRR Armenak Petrosyan, Konstantin Pieper, Hoang Tran
2023	J	`jnl`	Point Cloud Data Simulation and Modelling with Aize Workspace. CoRR Boris Mocialov, Eirik Eythorsson, Reza Parseh, Hoang Tran, Vegard Flovik
2022	A*	`conf`	Better SGD using Second-order Momentum. NeurIPS Hoang Tran, Ashok Cutkosky
2022	J	`jnl`	Differentially Private Online-to-Batch for Smooth Losses. CoRR Qinzi Zhang, Hoang Tran, Ashok Cutkosky
2022	A*	`conf`	Differentially Private Online-to-batch for Smooth Losses. NeurIPS Qinzi Zhang, Hoang Tran, Ashok Cutkosky
2022	—	`conf`	Exploiting the Local Parabolic Landscapes of Adversarial Losses to Accelerate Black-Box Adversarial Attack. ECCV (5) Hoang Tran, Dan Lu, Guannan Zhang
2022	J	`jnl`	Model Calibration of the Liquid Mercury Spallation Target using Evolutionary Neural Networks and Sparse Polynomial Expansions. CoRR Majdi I. Radaideh, Hoang Tran, Lianshan Lin, Hao Jiang, Drew Winder, Sarma Gorti, Guannan Zhang, Justin Mach, Sarah Cousineau
2022	A*	`conf`	Momentum Aggregation for Private Non-convex ERM. NeurIPS Hoang Tran, Ashok Cutkosky
2022	J	`jnl`	Momentum Aggregation for Private Non-convex ERM. CoRR Hoang Tran, Ashok Cutkosky
2021	J	`jnl`	Correcting Momentum with Second-order Information. CoRR Hoang Tran, Ashok Cutkosky
2021	A	`conf`	Enabling long-range exploration in minimization of multimodal functions. UAI Jiaxin Zhang, Hoang Tran, Dan Lu, Guannan Zhang
2021	A*	`conf`	RaPiD: AI Accelerator for Ultra-low Precision Training and Inference. ISCA Swagath Venkataramani, Vijayalakshmi Srinivasan, Wei Wang, Sanchari Sen, Jintao Zhang, Ankur Agrawal, Monodeep Kar, Shubham Jain, Alberto Mannari, Hoang Tran, Yulong Li, Eri Ogawa, Kazuaki Ishizaki, Hiroshi Inoue, Marcel Schaal, Mauricio J. Serrano, Jungwook Choi, Xiao Sun, Naigang Wang, Chia-Yu Chen, Allison Allain, James Bonanno, Nianzheng Cao, Robert Casatuta, Matthew Cohen, Bruce M. Fleischer, Michael Guillorn, Howard Haynie, Jinwook Jung, Mingu Kang, Kyu-Hyoun Kim, Siyu Koswatta, Sae Kyu Lee, Martin Lutz, Silvia M. Mueller, Jinwook Oh, Ashish Ranjan, Zhibin Ren, Scot Rider, Kerstin Schelm, Michael Scheuermann, Joel Silberman, Jie Yang, Vidhi Zalani, Xin Zhang, Ching Zhou, Matthew M. Ziegler, Vinay Shah, Moriyoshi Ohara, Pong-Fei Lu, Brian W. Curran, Sunil Shukla, Leland Chang, Kailash Gopalakrishnan
2020	J	`jnl`	A Scalable Evolution Strategy with Directional Gaussian Smoothing for Blackbox Optimization. CoRR Jiaxin Zhang, Hoang Tran, Dan Lu, Guannan Zhang
2020	J	`jnl`	Accelerating Reinforcement Learning with a Directional-Gaussian-Smoothing Evolution Strategy. CoRR Jiaxing Zhang, Hoang Tran, Guannan Zhang
2020	J	`jnl`	AdaDGS: An adaptive black-box optimization method with a nonlocal directional Gaussian smoothing gradient. CoRR Hoang Tran, Guannan Zhang
2020	J	`jnl`	Analysis of The Ratio of $\ell_1$ and $\ell_2$ Norms in Compressed Sensing. CoRR Yiming Xu, Akil Narayan, Hoang Tran, Clayton G. Webster
2019	J	`jnl`	A Weighted 𝓁 CoRR Joseph Daws Jr., Armenak Petrosyan, Hoang Tran, Clayton G. Webster
2018	J	`jnl`	Polynomial approximation via compressed sensing of high-dimensional functions on lower sets. Math. Comput. Abdellah Chkifa, Nick C. Dexter, Hoang Tran, Clayton G. Webster
2018	J	`jnl`	Reconstruction of jointly sparse vectors via manifold optimization. CoRR Armenak Petrosyan, Hoang Tran, Clayton G. Webster
2017	J	`jnl`	An Empirical Study of the Adoption of an Indoor Location-Based Service: Finding Reading Rooms. Int. J. Technol. Hum. Interact. Shang Gao, John Krogstie, Trond Thingstad, Hoang Tran
2017	J	`jnl`	Analysis of quasi-optimal polynomial approximations for parameterized PDEs with deterministic and stochastic coefficients. Numerische Mathematik Hoang Tran, Clayton G. Webster, Guannan Zhang
2015	J	`jnl`	A Crank-Nicolson Leapfrog stabilization: Unconditional stability and two applications. J. Comput. Appl. Math. Nan Jiang, Michaela Kubacki, William J. Layton, Marina Moraiti, Hoang Tran
2015	J	`jnl`	Analysis of a Stabilized CNLF Method with Fast Slow Wave Splittings for Flow Problems. Comput. Methods Appl. Math. Nan Jiang, Hoang Tran
2013	J	`jnl`	Analysis of Long Time Stability and Errors of Two Partitioned Methods for Uncoupling Evolutionary Groundwater-Surface Water Flows. SIAM J. Numer. Anal. William J. Layton, Hoang Tran, Catalin Trenchea
2012	J	`jnl`	Long time stability of four methods for splitting the evolutionary Stokes-Darcy problem into Stokes and Darcy subproblems. J. Comput. Appl. Math. William J. Layton, Hoang Tran, Xin Xiong
2006	J	`jnl`	Brain atrophy in long-term abstinent alcoholics who demonstrate impairment on a simulated gambling task. NeuroImage George Fein, Bennett A. Landman, Hoang Tran, Shannon McGillivray, Peter Finn, Jerome Barakos, Kirk Moon
2006	J	`jnl`	Statistical parametric mapping of brain morphology: Sensitivity is dramatically increased by using brain-extracted images as inputs. NeuroImage George Fein, Bennett A. Landman, Hoang Tran, Jerome Barakos, Kirk Moon, Victoria Di Sclafani, Robert Shumway