Nam H. Nguyen - RankMe

48 papers A* 4C 1Misc 4Journal 34Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Deep TPC: Temporal-Prior Conditioning for Time Series Forecasting. CoRR Filippos Bellos, NaveenJohn Premkumar, Yannis Avrithis, Nam H. Nguyen, Jason J. Corso
2026	J	`jnl`	Dynamic Tokenization via Reinforcement Patching: End-to-end Training and Zero-shot Transfer. CoRR Yulun Wu, Sravan Kumar Ankireddy, Samuel Sharpe, Nikita Seleznev, Dehao Yuan, Hyeji Kim, Nam H. Nguyen
2026	J	`jnl`	Learning Invariant Visual Representations for Planning with Joint-Embedding Predictive World Models. CoRR Leonardo F. Toso, Davit Shadunts, Yunyang Lu, Nihal Sharma, Donglin Zhan, Nam H. Nguyen, James Anderson
2026	J	`jnl`	PersonaLedger: Generating Realistic Financial Transactions with Persona Conditioned LLMs and Rule Grounded Feedback. CoRR Dehao Yuan, Tyler Farnan, Stefan Tesliuc, Doron L. Bergman, Yulun Wu, Xiaoyu Liu, Minghui Liu, James Montgomery, Nam H. Nguyen, C. Bayan Bruss, Furong Huang
2026	J	`jnl`	TimeSqueeze: Dynamic Patching for Efficient Time Series Forecasting. CoRR Sravan Kumar Ankireddy, Nikita Seleznev, Nam H. Nguyen, Yulun Wu, Senthil Kumar, Furong Huang, C. Bayan Bruss
2025	J	`jnl`	Bridging the Divide: End-to-End Sequence-Graph Learning. CoRR Yuen Chen, Yulun Wu, Samuel Sharpe, Igor Melnyk, Nam H. Nguyen, Furong Huang, C. Bayan Bruss, Rizal Fathony
2025	J	`jnl`	Integrating Sequential and Relational Modeling for User Events: Datasets and Prediction Tasks. CoRR Rizal Fathony, Igor Melnyk, Owen Reinert, Nam H. Nguyen, Daniele Rosa, C. Bayan Bruss
2025	J	`jnl`	Temporal Tokenization Strategies for Event Sequence Modeling with Large Language Models. CoRR Zefang Liu, Nam H. Nguyen, Yinzhu Quan, Shi-Xiong Zhang
2025	Misc	`conf`	VITRO: Vocabulary Inversion for Time-series Representation Optimization. ICASSP Filippos Bellos, Nam H. Nguyen, Jason J. Corso
2024	A*	`conf`	AutoMixer for Improved Multivariate Time-Series Forecasting on Business and IT Observability Data. AAAI Santosh Palaskar, Vijay Ekambaram, Arindam Jati, Neelamadhav Gantayat, Avirup Saha, Seema Nagar, Nam H. Nguyen, Pankaj Dayama, Renuka Sindhgatta, Prateeti Mohapatra, Harshit Kumar, Jayant Kalagnanam, Nandyala Hemachandra, Narayan Rangaraj
2024	—	`conf`	Finite Time Tracking Control of Uncertain Robotic Manipulator with Unknown Disturbance. ICCAIS Tuan T. Nguyen, Nam H. Nguyen
2024	J	`jnl`	Scaling-laws for Large Time-series Models. CoRR Thomas D. P. Edwards, James Alvey, Justin Alsing, Nam H. Nguyen, Benjamin D. Wandelt
2024	J	`jnl`	Tiny Time Mixers (TTMs): Fast Pre-trained Models for Enhanced Zero/Few-Shot Forecasting of Multivariate Time Series. CoRR Vijay Ekambaram, Arindam Jati, Nam H. Nguyen, Pankaj Dayama, Chandra Reddy, Wesley M. Gifford, Jayant Kalagnanam
2024	J	`jnl`	VITRO: Vocabulary Inversion for Time-series Representation Optimization. CoRR Filippos Bellos, Nam H. Nguyen, Jason J. Corso
2023	A*	`conf`	A Time Series is Worth 64 Words: Long-term Forecasting with Transformers. ICLR Yuqi Nie, Nam H. Nguyen, Phanwadee Sinthong, Jayant Kalagnanam
2023	—	`conf`	Adaptive Sliding Mode Control for the Quadrotor with unknown Disturbance and Uncertain Parameters. ICSSE Long H. Chu, Nam H. Nguyen
2023	J	`jnl`	AutoMixer for Improved Multivariate Time-Series Forecasting on BizITOps Data. CoRR Santosh Palaskar, Vijay Ekambaram, Arindam Jati, Neelamadhav Gantayat, Avirup Saha, Seema Nagar, Nam H. Nguyen, Pankaj Dayama, Renuka Sindhgatta, Prateeti Mohapatra, Harshit Kumar, Jayant Kalagnanam, Nandyala Hemachandra, Narayan Rangaraj
2023	J	`jnl`	ST-MLP: A Cascaded Spatio-Temporal Linear Framework with Channel-Independence Strategy for Traffic Forecasting. CoRR Zepu Wang, Yuqi Nie, Peng Sun, Nam H. Nguyen, John M. Mulvey, H. Vincent Poor
2022	J	`jnl`	A Time Series is Worth 64 Words: Long-term Forecasting with Transformers. CoRR Yuqi Nie, Nam H. Nguyen, Phanwadee Sinthong, Jayant Kalagnanam
2021	Misc	`conf`	A Scale Invariant Measure of Flatness for Deep Network Minima. ICASSP Akshay Rangamani, Nam H. Nguyen, Abhishek Kumar, Dzung T. Phan, Sang (Peter) Chin, Trac D. Tran
2021	J	`jnl`	A Strong Baseline for Vehicle Re-Identification. CoRR Su V. Huynh, Nam H. Nguyen, Ngoc T. Nguyen, Vinh TQ. Nguyen, Chau Huynh, Chuong Nguyen
2021	J	`jnl`	Optimal fire allocation in a combat model of mixed NCW type. CoRR My A. Vu, Nam H. Nguyen, Hanh Le T. Nguyen, Anh N. Ta, Mong H. Nguyen
2021	J	`jnl`	Quantum circuit representation of Bayesian networks. Expert Syst. Appl. Sima Esfandiarpour Borujeni, Saideep Nannapaneni, Nam H. Nguyen, Elizabeth C. Behrman, James Edward Steck
2020	J	`jnl`	A Quantum Annealing Approach for Dynamic Multi-Depot Capacitated Vehicle Routing Problem. CoRR Ramkumar Harikrishnakumar, Saideep Nannapaneni, Nam H. Nguyen, James Edward Steck, Elizabeth C. Behrman
2020	J	`jnl`	Benchmarking Neural Networks For Quantum Computations. IEEE Trans. Neural Networks Learn. Syst. Nam H. Nguyen, Elizabeth C. Behrman, Mohamed A. Moustafa, James Edward Steck
2020	Misc	`conf`	Experimental evaluation of quantum Bayesian networks on IBM QX hardware. QCE Sima Esfandiarpour Borujeni, Nam H. Nguyen, Saideep Nannapaneni, Elizabeth C. Behrman, James Edward Steck
2020	J	`jnl`	Experimental evaluation of quantum Bayesian networks on IBM QX hardware. CoRR Sima Esfandiarpour Borujeni, Nam H. Nguyen, Saideep Nannapaneni, Elizabeth C. Behrman, James Edward Steck
2020	J	`jnl`	Experimental pairwise entanglement estimation for an N-qubit system. Quantum Inf. Process. Nathan L. Thompson, Nam H. Nguyen, Elizabeth C. Behrman, James Edward Steck
2020	A*	`conf`	Pruning Deep Neural Networks with $\ell_{0}$-constrained Optimization. ICDM Dzung T. Phan, Lam M. Nguyen, Nam H. Nguyen, Jayant R. Kalagnanam
2020	J	`jnl`	Quantum circuit representation of Bayesian networks. CoRR Sima Esfandiarpour Borujeni, Saideep Nannapaneni, Nam H. Nguyen, Elizabeth C. Behrman, James Edward Steck
2020	J	`jnl`	Quantum learning with noise and decoherence: a robust quantum neural network. Quantum Mach. Intell. Nam H. Nguyen, Elizabeth C. Behrman, James Edward Steck
2019	J	`jnl`	A Scale Invariant Flatness Measure for Deep Network Minima. CoRR Akshay Rangamani, Nam H. Nguyen, Abhishek Kumar, Dzung T. Phan, Sang H. Chin, Trac D. Tran
2018	J	`jnl`	When Does Stochastic Gradient Algorithm Work Well? CoRR Lam M. Nguyen, Nam H. Nguyen, Dzung T. Phan, Jayant R. Kalagnanam, Katya Scheinberg
2016	J	`jnl`	Collaborative Multi-Sensor Classification Via Sparsity-Based Representation. IEEE Trans. Signal Process. Minh Dao, Nam H. Nguyen, Nasser M. Nasrabadi, Trac D. Tran
2014	J	`jnl`	Collaborative Multi-sensor Classification via Sparsity-based Representation. CoRR Minh Dao, Nam H. Nguyen, Nasser M. Nasrabadi, Trac D. Tran
2013	J	`jnl`	Exact Recoverability From Dense Corrupted Observations via ℓ IEEE Trans. Inf. Theory Nam H. Nguyen, Trac D. Tran
2013	J	`jnl`	Robust Lasso With Missing and Grossly Corrupted Observations. IEEE Trans. Inf. Theory Nam H. Nguyen, Trac D. Tran
2012	J	`jnl`	Fast and Efficient Compressive Sensing Using Structurally Random Matrices. IEEE Trans. Signal Process. Thong T. Do, Lu Gan, Nam H. Nguyen, Trac D. Tran
2012	—	`conf`	Multi-sensor joint kernel sparse representation for personnel detection. EUSIPCO Nam H. Nguyen, Nasser M. Nasrabadi, Trac D. Tran
2011	J	`jnl`	Exact recoverability from dense corrupted observations via L CoRR Nam H. Nguyen, Trac D. Tran
2011	J	`jnl`	Fast and Efficient Compressive Sensing using Structurally Random Matrices CoRR Thong T. Do, Lu Gan, Nam H. Nguyen, Trac D. Tran
2011	J	`jnl`	Robust Lasso with missing and grossly corrupted observations CoRR Nam H. Nguyen, Trac D. Tran
2011	—	`conf`	Robust Lasso with missing and grossly corrupted observations. NIPS Nam H. Nguyen, Nasser M. Nasrabadi, Trac D. Tran
2011	C	`conf`	Robust multi-sensor classification via joint sparse representation. FUSION Nam H. Nguyen, Nasser M. Nasrabadi, Trac D. Tran
2010	J	`jnl`	Tensor sparsification via a bound on the spectral norm of random tensors CoRR Nam H. Nguyen, Petros Drineas, Trac D. Tran
2009	A*	`conf`	A fast and efficient algorithm for low-rank approximation of a matrix. STOC Nam H. Nguyen, Thong T. Do, Trac D. Tran
2009	Misc	`conf`	A fast and efficient heuristic nuclear-norm algorithm for affine rank minimization. ICASSP Thong T. Do, Yi Chen, Nam H. Nguyen, Lu Gan, Trac D. Tran
2008	—	`conf`	Sparsity adaptive matching pursuit algorithm for practical compressed sensing. ACSCC Thong T. Do, Lu Gan, Nam H. Nguyen, Trac D. Tran