Syntax-Infused Transformer and BERT models for Machine Translation and Natural Language Understanding. - Dhanasekar Sundararaman; Vivek Subramanian; Guoyin Wang 002; Shijing Si; Dinghan Shen; Dong Wang 037; Lawrence Carin (CoRR, 2019)

Methods for Numeracy-Preserving Word Embeddings. - Dhanasekar Sundararaman; Shijing Si; Vivek Subramanian; Guoyin Wang 002; Devamanyu Hazarika; Lawrence Carin (EMNLP (1), 2020)

Integrating Task Specific Information into Pretrained Language Models for Low Resource Fine Tuning. - Rui Wang 088; Shijing Si; Guoyin Wang 002; Lei Zhang; Lawrence Carin; Ricardo Henao (EMNLP (Findings), 2020)

Scalable Control Variates for Monte Carlo Methods Via Stochastic Optimization. - Shijing Si; Chris J. Oates; Andrew B. Duncan; Lawrence Carin; François-Xavier Briol (MCQMC, 2020)

Students Need More Attention: BERT-based Attention Model for Small Data with Application to Automatic Patient Message Triage. - Shijing Si; Rui Wang 088; Jedrek Wosik; Hao Zhang 050; David Dov; Guoyin Wang 002; Lawrence Carin (MLHC, 2020)

Students Need More Attention: BERT-based AttentionModel for Small Data with Application to AutomaticPatient Message Triage. - Shijing Si; Rui Wang 088; Jedrek Wosik; Hao Zhang 050; David Dov; Guoyin Wang 002; Ricardo Henao; Lawrence Carin (CoRR, 2020)

Constrained Utility Deviation-Risk Optimization and Time-Consistent HJB Equation. - Jia-Wen Gu; Shijing Si; Harry Zheng (SIAM J. Control. Optim., 2020)

Affinitention nets: kernel perspective on attention architectures for set classification with applications to medical text and images. - David Dov; Serge Assaad; Shijing Si; Rui Wang 088; Hongteng Xu; Shahar Ziv Kovalsky; Jonathan Bell; Danielle Elliott Range; Jonathan Cohen 004; Ricardo Henao; Lawrence Carin (CHIL, 2021)

Syntactic Knowledge-Infused Transformer and BERT Models. - Dhanasekar Sundararaman; Vivek Subramanian; Guoyin Wang 002; Shijing Si; Dinghan Shen; Dong Wang 037; Lawrence Carin (CIKM Workshops, 2021)

FairFil: Contrastive Neural Debiasing Method for Pretrained Text Encoders. - Pengyu Cheng; Weituo Hao; Siyang Yuan; Shijing Si; Lawrence Carin (ICLR, 2021)

Speech2Video: Cross-Modal Distillation for Speech to Video Generation. - Shijing Si; Jianzong Wang; Xiaoyang Qu; Ning Cheng 001; Wenqi Wei; Xinghua Zhu; Jing Xiao 006 (Interspeech, 2021)

Variational Information Bottleneck for Effective Low-Resource Audio Classification. - Shijing Si; Jianzong Wang; Huiming Sun; Jianhan Wu 001; Chuanyao Zhang; Xiaoyang Qu; Ning Cheng 001; Lei Chen; Jing Xiao 006 (Interspeech, 2021)

Case Study of Few-Shot Learning in Text Recognition Models. - Jianzong Wang; Shijing Si; Zhenhou Hong; Xiaoyang Qu; Xinghua Zhu; Jing Xiao 006 (WISE (2), 2021)

Reinforcement Learning for Flexibility Design Problems. - Yehua Wei; Lei Zhang; Ruiyi Zhang 002; Shijing Si; Hao Zhang 050; Lawrence Carin (CoRR, 2021)

Pose Guided Human Image Synthesis with Partially Decoupled GAN. - Jianhan Wu 001; Shijing Si; Jianzong Wang; Xiaoyang Qu; Jing Xiao 006 (ACML, 2022)

Machine Unlearning Method Based On Projection Residual. - Zihao Cao; Jianzong Wang; Shijing Si; Zhangcheng Huang 002; Jing Xiao 006 (DSAA, 2022)

RL-MD: A Novel Reinforcement Learning Approach for DNA Motif Discovery. - Wen Wang; Jianzong Wang; Shijing Si; Zhangcheng Huang 002; Jing Xiao 006 (DSAA, 2022)

Efficient Document Retrieval by End-to-End Refining and Quantizing BERT Embedding with Contrastive Product Quantization. - Zexuan Qiu; Qinliang Su; Jianxing Yu; Shijing Si (EMNLP, 2022)

zkMLaaS: a Verifiable Scheme for Machine Learning as a Service. - Chenyu Huang; Jianzong Wang; Huangxun Chen; Shijing Si; Zhangcheng Huang 002; Jing Xiao 006 (GLOBECOM, 2022)

Towards Speaker Age Estimation With Label Distribution Learning. - Shijing Si; Jianzong Wang; Junqing Peng; Jing Xiao 006 (ICASSP, 2022)

VU-BERT: A Unified Framework for Visual Dialog. - Tong Ye; Shijing Si; Jianzong Wang; Rui Wang; Ning Cheng 001; Jing Xiao 006 (ICASSP, 2022)

Boosting StarGANs for Voice Conversion with Contrastive Discriminator. - Shijing Si; Jianzong Wang; Xulong Zhang 001; Xiaoyang Qu; Ning Cheng 001; Jing Xiao 006 (ICONIP (2), 2022)

A Nearest Neighbor Under-sampling Strategy for Vertical Federated Learning in Financial Domain. - Denghao Li; Jianzong Wang; Lingwei Kong; Shijing Si; Zhangcheng Huang 002; Chenyu Huang; Jing Xiao 006 (IH&MMSec, 2022)

Federated Split BERT for Heterogeneous Text Classification. - Zhengyang Li; Shijing Si; Jianzong Wang; Jing Xiao 006 (IJCNN, 2022)

Federated Non-negative Matrix Factorization for Short Texts Topic Modeling with Mutual Information. - Shijing Si; Jianzong Wang; Ruiyi Zhang 002; Qinliang Su; Jing Xiao 006 (IJCNN, 2022)

A Fair Federated Learning Framework With Reinforcement Learning. - Yaqi Sun; Shijing Si; Jianzong Wang; Yuhan Dong; Zhitao Zhu; Jing Xiao 006 (IJCNN, 2022)

Leveraging Causal Inference for Explainable Automatic Program Repair. - Jianzong Wang; Shijing Si; Zhitao Zhu; Xiaoyang Qu; Zhenhou Hong; Jing Xiao 006 (IJCNN, 2022)

Augmentation-induced Consistency Regularization for Classification. - Jianhan Wu 001; Shijing Si; Jianzong Wang; Jing Xiao 006 (IJCNN, 2022)

Improving Human Image Synthesis with Residual Fast Fourier Transformation and Wasserstein Distance. - Jianhan Wu 001; Shijing Si; Jianzong Wang; Jing Xiao 006 (IJCNN, 2022)

Cali3F: Calibrated Fast Fair Federated Recommendation System. - Zhitao Zhu; Shijing Si; Jianzong Wang; Jing Xiao 006 (IJCNN, 2022)

Uncertainty Calibration for Deep Audio Classifiers. - Tong Ye; Shijing Si; Jianzong Wang; Ning Cheng 001; Jing Xiao 006 (INTERSPEECH, 2022)

Debias the Black-Box: A Fair Ranking Framework via Knowledge Distillation. - Zhitao Zhu; Shijing Si; Jianzong Wang; Yaodong Yang 001; Jing Xiao 006 (WISE, 2022)

Boosting Star-GANs for Voice Conversion with Contrastive Discriminator. - Shijing Si; Jianzong Wang; Xulong Zhang 001; Xiaoyang Qu; Ning Cheng 001; Jing Xiao 006 (CoRR, 2022)

On the Calibration and Uncertainty with Pólya-Gamma Augmentation for Dialog Retrieval Models. - Tong Ye; Shijing Si; Jianzong Wang; Ning Cheng 001; Zhitao Li 002; Jing Xiao 006 (AAAI, 2023)

Pushing the Efficiency Limit Using Structured Sparse Convolutions. - Vinay Kumar Verma; Nikhil Mehta 002; Shijing Si; Ricardo Henao; Lawrence Carin (WACV, 2023)

Label Smoothing for Enhanced Text Sentiment Classification. - Yijie Gao; Shijing Si (CoRR, 2023)

Evaluating the Capability of ChatGPT on Ancient Chinese. - Siqing Zhou; Shijing Si (CoRR, 2023)

Leveraging BERT and TFIDF Features for Short Text Clustering via Alignment-Promoting Co-Training. - Zetong Li; Qinliang Su; Shijing Si; Jianxing Yu (EMNLP, 2024)

FFN: a Fine-grained Chinese-English Financial Domain Parallel Corpus. - Yuxin Fu; Shijing Si; Leyi Mai; Xi-ang Li (IALP, 2024)

Evaluating the Performance of ChatGPT for Spam Email Detection. - Yuwei Wu; Shijing Si; Yugui Zhang; Jiawen Gu; Jedrek Wosik (CoRR, 2024)

Predicting Rental Price of Lane Houses in Shanghai with Machine Learning Methods and Large Language Models. - Tingting Chen; Shijing Si (CoRR, 2024)

Text Feature Adversarial Learning for Text Generation With Knowledge Transfer From GPT2. - Hao Zhang 050; Yulai Cong; Zhengjue Wang; Lei Zhang; Miaoyun Zhao; Liqun Chen 001; Shijing Si; Ricardo Henao; Lawrence Carin (IEEE Trans. Neural Networks Learn. Syst., 2024)

GPPT: Gaussian Process-infused Prompt Tuning for Vision-language Models. - Shijing Si; Haixia Sun 001; Jiawen Gu (ICASSP, 2025)

Calibrating Sentiment Analysis: A Unimodal-Weighted Label Distribution Learning Approach. - Zhenze Liu; Shijing Si; Jiawen Gu (IEEE Access, 2025)

Leveraging single-case results to Bayesian hierarchical modelling. - Shijing Si; Jia-Wen Gu; Maozai Tian (Comput. Stat., 2025)