Shijing Si

According to our database, Shijing Si authored at least 42 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Text Feature Adversarial Learning for Text Generation With Knowledge Transfer From GPT2.

Hao Zhang, Yulai Cong, Zhengjue Wang, Lei Zhang, Miaoyun Zhao, Liqun Chen, Shijing Si, Ricardo Henao, Lawrence Carin

IEEE Trans. Neural Networks Learn. Syst., May, 2024

Predicting Rental Price of Lane Houses in Shanghai with Machine Learning Methods and Large Language Models.

Tingting Chen, Shijing Si

CoRR, 2024

Evaluating the Performance of ChatGPT for Spam Email Detection.

Yuwei Wu, Shijing Si, Yugui Zhang, Jiawen Gu, Jedrek Wosik

CoRR, 2024

FFN: a Fine-grained Chinese-English Financial Domain Parallel Corpus.

Yuxin Fu, Shijing Si, Leyi Mai, Xi-ang Li

Proceedings of the International Conference on Asian Language Processing, 2024

Leveraging BERT and TFIDF Features for Short Text Clustering via Alignment-Promoting Co-Training.

Zetong Li, Qinliang Su, Shijing Si, Jianxing Yu

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

2023

Evaluating the Capability of ChatGPT on Ancient Chinese.

Siqing Zhou, Shijing Si

CoRR, 2023

Label Smoothing for Enhanced Text Sentiment Classification.

Yijie Gao, Shijing Si

CoRR, 2023

Pushing the Efficiency Limit Using Structured Sparse Convolutions.

Vinay Kumar Verma, Nikhil Mehta, Shijing Si, Ricardo Henao, Lawrence Carin

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

On the Calibration and Uncertainty with Pólya-Gamma Augmentation for Dialog Retrieval Models.

Tong Ye, Shijing Si, Jianzong Wang, Ning Cheng, Zhitao Li, Jing Xiao

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Boosting Star-GANs for Voice Conversion with Contrastive Discriminator.

Shijing Si, Jianzong Wang, Xulong Zhang, Xiaoyang Qu, Ning Cheng, Jing Xiao

CoRR, 2022

Debias the Black-Box: A Fair Ranking Framework via Knowledge Distillation.

Zhitao Zhu, Shijing Si, Jianzong Wang, Yaodong Yang, Jing Xiao

Proceedings of the Web Information Systems Engineering - WISE 2022, 2022

Uncertainty Calibration for Deep Audio Classifiers.

Tong Ye, Shijing Si, Jianzong Wang, Ning Cheng, Jing Xiao

Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

Cali3F: Calibrated Fast Fair Federated Recommendation System.

Zhitao Zhu, Shijing Si, Jianzong Wang, Jing Xiao

Proceedings of the International Joint Conference on Neural Networks, 2022

Improving Human Image Synthesis with Residual Fast Fourier Transformation and Wasserstein Distance.

Jianhan Wu, Shijing Si, Jianzong Wang, Jing Xiao

Proceedings of the International Joint Conference on Neural Networks, 2022

Augmentation-induced Consistency Regularization for Classification.

Jianhan Wu, Shijing Si, Jianzong Wang, Jing Xiao

Proceedings of the International Joint Conference on Neural Networks, 2022

Leveraging Causal Inference for Explainable Automatic Program Repair.

Jianzong Wang, Shijing Si, Zhitao Zhu, Xiaoyang Qu, Zhenhou Hong, Jing Xiao

Proceedings of the International Joint Conference on Neural Networks, 2022

A Fair Federated Learning Framework With Reinforcement Learning.

Yaqi Sun, Shijing Si, Jianzong Wang, Yuhan Dong, Zhitao Zhu, Jing Xiao

Proceedings of the International Joint Conference on Neural Networks, 2022

Federated Non-negative Matrix Factorization for Short Texts Topic Modeling with Mutual Information.

Shijing Si, Jianzong Wang, Ruiyi Zhang, Qinliang Su, Jing Xiao

Proceedings of the International Joint Conference on Neural Networks, 2022

Federated Split BERT for Heterogeneous Text Classification.

Zhengyang Li, Shijing Si, Jianzong Wang, Jing Xiao

Proceedings of the International Joint Conference on Neural Networks, 2022

A Nearest Neighbor Under-sampling Strategy for Vertical Federated Learning in Financial Domain.

Denghao Li, Jianzong Wang, Lingwei Kong, Shijing Si, Zhangcheng Huang, Chenyu Huang, Jing Xiao

Proceedings of the IH&MMSec '22: ACM Workshop on Information Hiding and Multimedia Security, Santa Barbara, CA, USA, June 27, 2022

Boosting StarGANs for Voice Conversion with Contrastive Discriminator.

Shijing Si, Jianzong Wang, Xulong Zhang, Xiaoyang Qu, Ning Cheng, Jing Xiao

Proceedings of the Neural Information Processing - 29th International Conference, 2022

VU-BERT: A Unified Framework for Visual Dialog.

Tong Ye, Shijing Si, Jianzong Wang, Rui Wang, Ning Cheng, Jing Xiao

Proceedings of the IEEE International Conference on Acoustics, 2022

Towards Speaker Age Estimation With Label Distribution Learning.

Shijing Si, Jianzong Wang, Junqing Peng, Jing Xiao

Proceedings of the IEEE International Conference on Acoustics, 2022

zkMLaaS: a Verifiable Scheme for Machine Learning as a Service.

Chenyu Huang, Jianzong Wang, Huangxun Chen, Shijing Si, Zhangcheng Huang, Jing Xiao

Proceedings of the IEEE Global Communications Conference, 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

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

RL-MD: A Novel Reinforcement Learning Approach for DNA Motif Discovery.

Wen Wang, Jianzong Wang, Shijing Si, Zhangcheng Huang, Jing Xiao

Proceedings of the 9th IEEE International Conference on Data Science and Advanced Analytics, 2022

Machine Unlearning Method Based On Projection Residual.

Zihao Cao, Jianzong Wang, Shijing Si, Zhangcheng Huang, Jing Xiao

Proceedings of the 9th IEEE International Conference on Data Science and Advanced Analytics, 2022

Pose Guided Human Image Synthesis with Partially Decoupled GAN.

Jianhan Wu, Shijing Si, Jianzong Wang, Xiaoyang Qu, Jing Xiao

Proceedings of the Asian Conference on Machine Learning, 2022

2021

Reinforcement Learning for Flexibility Design Problems.

Yehua Wei, Lei Zhang, Ruiyi Zhang, Shijing Si, Hao Zhang, Lawrence Carin

CoRR, 2021

Case Study of Few-Shot Learning in Text Recognition Models.

Jianzong Wang, Shijing Si, Zhenhou Hong, Xiaoyang Qu, Xinghua Zhu, Jing Xiao

Proceedings of the Web Information Systems Engineering - WISE 2021, 2021

Variational Information Bottleneck for Effective Low-Resource Audio Classification.

Shijing Si, Jianzong Wang, Huiming Sun, Jianhan Wu, Chuanyao Zhang, Xiaoyang Qu, Ning Cheng, Lei Chen, Jing Xiao

Proceedings of the 22nd Annual Conference of the International Speech Communication Association, Interspeech 2021, Brno, Czechia, August 30, 2021

Speech2Video: Cross-Modal Distillation for Speech to Video Generation.

Shijing Si, Jianzong Wang, Xiaoyang Qu, Ning Cheng, Wenqi Wei, Xinghua Zhu, Jing Xiao

Proceedings of the 22nd Annual Conference of the International Speech Communication Association, Interspeech 2021, Brno, Czechia, August 30, 2021

FairFil: Contrastive Neural Debiasing Method for Pretrained Text Encoders.

Pengyu Cheng, Weituo Hao, Siyang Yuan, Shijing Si, Lawrence Carin

Proceedings of the 9th International Conference on Learning Representations, 2021

Syntactic Knowledge-Infused Transformer and BERT Models.

Dhanasekar Sundararaman, Vivek Subramanian, Guoyin Wang, Shijing Si, Dinghan Shen, Dong Wang, Lawrence Carin

Proceedings of the CIKM 2021 Workshops co-located with 30th ACM International Conference on Information and Knowledge Management (CIKM 2021), 2021

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, Hongteng Xu, Shahar Ziv Kovalsky, Jonathan Bell, Danielle Elliott Range, Jonathan Cohen, Ricardo Henao, Lawrence Carin

Proceedings of the ACM CHIL '21: ACM Conference on Health, 2021

2020

Constrained Utility Deviation-Risk Optimization and Time-Consistent HJB Equation.

Jia-Wen Gu, Shijing Si, Harry Zheng

SIAM J. Control. Optim., 2020

Students Need More Attention: BERT-based AttentionModel for Small Data with Application to AutomaticPatient Message Triage.

Shijing Si, Rui Wang, Jedrek Wosik, Hao Zhang, David Dov, Guoyin Wang, Ricardo Henao, Lawrence Carin

CoRR, 2020

Students Need More Attention: BERT-based Attention Model for Small Data with Application to Automatic Patient Message Triage.

Shijing Si, Rui Wang, Jedrek Wosik, Hao Zhang, David Dov, Guoyin Wang, Lawrence Carin

Proceedings of the Machine Learning for Healthcare Conference, 2020

Scalable Control Variates for Monte Carlo Methods Via Stochastic Optimization.

Shijing Si, Chris J. Oates, Andrew B. Duncan, Lawrence Carin, François-Xavier Briol

Proceedings of the Monte Carlo and Quasi-Monte Carlo Methods, 2020

Integrating Task Specific Information into Pretrained Language Models for Low Resource Fine Tuning.

Rui Wang, Shijing Si, Guoyin Wang, Lei Zhang, Lawrence Carin, Ricardo Henao

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Methods for Numeracy-Preserving Word Embeddings.

Dhanasekar Sundararaman, Shijing Si, Vivek Subramanian, Guoyin Wang, Devamanyu Hazarika, Lawrence Carin

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

2019

Syntax-Infused Transformer and BERT models for Machine Translation and Natural Language Understanding.

Dhanasekar Sundararaman, Vivek Subramanian, Guoyin Wang, Shijing Si, Dinghan Shen, Dong Wang, Lawrence Carin

CoRR, 2019