Sparse representation based hyperspectral imagery classification via expanded dictionary. - Lin He 001; Weitong Ruan; Yuanqing Li 001 (WHISPERS, 2012)

Estimation theoretic methods for cubesat data interpolation in the presence of geolocation errors. - Weitong Ruan; Adam B. Milstein; William J. Blackwell; Eric L. Miller 001 (IGARSS, 2015)

On the Use of Gaussian Random Processes for Probabilistic Interpolation of CubeSat Data in the Presence of Geolocation Error. - Weitong Ruan; Adam B. Milstein; William J. Blackwell; Eric L. Miller 001 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2016)

Multiple output Gaussian process regression algorithm for multi-frequency scattered data interpolation. - Weitong Ruan; Adam B. Milstein; William J. Blackwell; Eric L. Miller 001 (IGARSS, 2017)

Ensemble Multi-task Gaussian Process Regression with Multiple Latent Processes. - Weitong Ruan; Eric L. Miller 001 (CoRR, 2017)

A Probabilistic Analysis of Positional Errors on Satellite Remote Sensing Data Using Scattered Interpolation. - Weitong Ruan; Adam B. Milstein; William J. Blackwell; Eric L. Miller 001 (IEEE Geosci. Remote. Sens. Lett., 2017)

SeqVAT: Virtual Adversarial Training for Semi-Supervised Sequence Labeling. - Luoxin Chen; Weitong Ruan; Xinyue Liu; Jianhua Lu (ACL, 2020)

Multi-task Learning of Spoken Language Understanding by Integrating N-Best Hypotheses with Hierarchical Attention. - Mingda Li; Xinyue Liu; Weitong Ruan; Luca Soldaini; Wael Hamza; Chengwei Su (COLING (Industry), 2020)

Enhance Robustness of Sequence Labelling with Masked Adversarial Training. - Luoxin Chen; Xinyue Liu; Weitong Ruan; Jianhua Lu (EMNLP (Findings), 2020)

Towards an ASR Error Robust Spoken Language Understanding System. - Weitong Ruan; Yaroslav Nechaev; Luoxin Chen; Chengwei Su; Imre Kiss (INTERSPEECH, 2020)

Improving Spoken Language Understanding By Exploiting ASR N-best Hypotheses. - Mingda Li; Weitong Ruan; Xinyue Liu; Luca Soldaini; Wael Hamza; Chengwei Su (CoRR, 2020)

ASR N-Best Fusion Nets. - Xinyue Liu; Mingda Li; Luoxin Chen; Prashan Wanigasekara; Weitong Ruan; Haidar Khan; Wael Hamza; Chengwei Su (ICASSP, 2021)

Contextual Domain Classification with Temporal Representations. - Tzu-Hsiang Lin; Yipeng Shi; Chentao Ye; Yang Fan; Weitong Ruan; Emre Barut; Wael Hamza; Chengwei Su (NAACL-HLT (Industry Papers), 2021)

Adaptive Global-Local Context Fusion for Multi-Turn Spoken Language Understanding. - Thanh Tran; Kai Wei; Weitong Ruan; Ross McGowan; Nathan Susanj; Grant P. Strimel (AAAI, 2022)

Semantic VL-BERT: Visual Grounding via Attribute Learning. - Prashan Wanigasekara; Kechen Qin; Emre Barut; Yang Fan; Weitong Ruan; Chengwei Su (IJCNN, 2022)

Customize Multi-modal RAI Guardrails with Precedent-based predictions. - Cheng-Fu Yang; Thanh Tran; Christos Christodoulopoulos 001; Weitong Ruan; Rahul Gupta; Kai-Wei Chang (CoRR, 2025)