Shijing Si

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 62

Top Topics

Fourier Transformation

Text Generation

Reinforcement Learning

Monte Carlo Methods

Top Venues

Publications

Tingting Chen, Shijing Si
Predicting Rental Price of Lane Houses in Shanghai with Machine Learning Methods and Large Language Models. CoRR (2024)
Hao Zhang, Yulai Cong, Zhengjue Wang, Lei Zhang, Miaoyun Zhao, Liqun Chen, Shijing Si, Ricardo Henao, Lawrence Carin
Text Feature Adversarial Learning for Text Generation With Knowledge Transfer From GPT2. IEEE Trans. Neural Networks Learn. Syst. 35 (5) (2024)
Yuxin Fu, Shijing Si, Leyi Mai, Xi-ang Li
FFN: a Fine-grained Chinese-English Financial Domain Parallel Corpus. CoRR (2024)
Yuwei Wu, Shijing Si, Yugui Zhang, Jiawen Gu, Jedrek Wosik
Evaluating the Performance of ChatGPT for Spam Email Detection. CoRR (2024)
Tong Ye, Shijing Si, Jianzong Wang, Ning Cheng, Zhitao Li, Jing Xiao
On the Calibration and Uncertainty with Pólya-Gamma Augmentation for Dialog Retrieval Models. AAAI (2023)
Yijie Gao, Shijing Si
Label Smoothing for Enhanced Text Sentiment Classification. CoRR (2023)
Vinay Kumar Verma, Nikhil Mehta, Shijing Si, Ricardo Henao, Lawrence Carin
Pushing the Efficiency Limit Using Structured Sparse Convolutions. WACV (2023)
Tong Ye, Shijing Si, Jianzong Wang, Ning Cheng, Zhitao Li, Jing Xiao
On the Calibration and Uncertainty with Pólya-Gamma Augmentation for Dialog Retrieval Models. CoRR (2023)
Siqing Zhou, Shijing Si
Evaluating the Capability of ChatGPT on Ancient Chinese. CoRR (2023)
Vinay Kumar Verma, Nikhil Mehta, Shijing Si, Ricardo Henao, Lawrence Carin
Pushing the Efficiency Limit Using Structured Sparse Convolutions. CoRR (2022)
Jianhan Wu, Shijing Si, Jianzong Wang, Xiaoyang Qu, Xiao Jing
Pose Guided Human Image Synthesis with Partially Decoupled GAN. ACML (2022)
Tong Ye, Shijing Si, Jianzong Wang, Ning Cheng, Jing Xiao
Uncertainty Calibration for Deep Audio Classifiers. INTERSPEECH (2022)
Jianhan Wu, Jianzong Wang, Shijing Si, Xiaoyang Qu, Jing Xiao
Pose Guided Human Image Synthesis with Partially Decoupled GAN. CoRR (2022)
Shijing Si, Jianzong Wang, Ruiyi Zhang, Qinliang Su, Jing Xiao
Federated Non-negative Matrix Factorization for Short Texts Topic Modeling with Mutual Information. IJCNN (2022)
Zexuan Qiu, Qinliang Su, Jianxing Yu, Shijing Si
Efficient Document Retrieval by End-to-End Refining and Quantizing BERT Embedding with Contrastive Product Quantization. EMNLP (2022)
Zhitao Zhu, Shijing Si, Jianzong Wang, Yaodong Yang, Jing Xiao
Debias the Black-Box: A Fair Ranking Framework via Knowledge Distillation. WISE (2022)
Jianhan Wu, Shijing Si, Jianzong Wang, Jing Xiao
Improving Human Image Synthesis with Residual Fast Fourier Transformation and Wasserstein Distance. CoRR (2022)
Chenyu Huang, Jianzong Wang, Huangxun Chen, Shijing Si, Zhangcheng Huang, Jing Xiao
zkMLaaS: a Verifiable Scheme for Machine Learning as a Service. GLOBECOM (2022)
Zhengyang Li, Shijing Si, Jianzong Wang, Jing Xiao
Federated Split BERT for Heterogeneous Text Classification. IJCNN (2022)
Jianzong Wang, Shijing Si, Zhitao Zhu, Xiaoyang Qu, Zhenhou Hong, Jing Xiao
Leveraging Causal Inference for Explainable Automatic Program Repair. CoRR (2022)
Tong Ye, Shijing Si, Jianzong Wang, Ning Cheng, Jing Xiao
Uncertainty Calibration for Deep Audio Classifiers. CoRR (2022)
Shijing Si, Jianzong Wang, Xulong Zhang, Xiaoyang Qu, Ning Cheng, Jing Xiao
Boosting StarGANs for Voice Conversion with Contrastive Discriminator. ICONIP (2) (2022)
Tong Ye, Shijing Si, Jianzong Wang, Rui Wang, Ning Cheng, Jing Xiao
VU-BERT: A Unified framework for Visual Dialog. CoRR (2022)
Yaqi Sun, Shijing Si, Jianzong Wang, Yuhan Dong, Zhitao Zhu, Jing Xiao
A Fair Federated Learning Framework With Reinforcement Learning. CoRR (2022)
Jianhan Wu, Shijing Si, Jianzong Wang, Jing Xiao
Improving Human Image Synthesis with Residual Fast Fourier Transformation and Wasserstein Distance. IJCNN (2022)
Zhitao Zhu, Shijing Si, Jianzong Wang, Jing Xiao
Cali3F: Calibrated Fast Fair Federated Recommendation System. CoRR (2022)
Shijing Si, Jianzong Wang, Ruiyi Zhang, Qinliang Su, Jing Xiao
Federated Non-negative Matrix Factorization for Short Texts Topic Modeling with Mutual Information. CoRR (2022)
Zhengyang Li, Shijing Si, Jianzong Wang, Jing Xiao
Federated Split BERT for Heterogeneous Text Classification. CoRR (2022)
Denghao Li, Jianzong Wang, Lingwei Kong, Shijing Si, Zhangcheng Huang, Chenyu Huang, Jing Xiao
A Nearest Neighbor Under-sampling Strategy for Vertical Federated Learning in Financial Domain. IH&MMSec (2022)
Wen Wang, Jianzong Wang, Shijing Si, Zhangcheng Huang, Jing Xiao
RL-MD: A Novel Reinforcement Learning Approach for DNA Motif Discovery. CoRR (2022)
Zhitao Zhu, Shijing Si, Jianzong Wang, Yaodong Yang, Jing Xiao
Debias the Black-box: A Fair Ranking Framework via Knowledge Distillation. CoRR (2022)
Zihao Cao, Jianzong Wang, Shijing Si, Zhangcheng Huang, Jing Xiao
Machine Unlearning Method Based On Projection Residual. DSAA (2022)
Shijing Si, Jianzong Wang, Junqing Peng, Jing Xiao
Towards Speaker Age Estimation With Label Distribution Learning. ICASSP (2022)
Yaqi Sun, Shijing Si, Jianzong Wang, Yuhan Dong, Zhitao Zhu, Jing Xiao
A Fair Federated Learning Framework With Reinforcement Learning. IJCNN (2022)
Shijing Si, Jianzong Wang, Xulong Zhang, Xiaoyang Qu, Ning Cheng, Jing Xiao
Boosting Star-GANs for Voice Conversion with Contrastive Discriminator. CoRR (2022)
Jianhan Wu, Shijing Si, Jianzong Wang, Jing Xiao
Augmentation-induced Consistency Regularization for Classification. CoRR (2022)
Jianzong Wang, Shijing Si, Zhitao Zhu, Xiaoyang Qu, Zhenhou Hong, Jing Xiao
Leveraging Causal Inference for Explainable Automatic Program Repair. IJCNN (2022)
Tong Ye, Shijing Si, Jianzong Wang, Rui Wang, Ning Cheng, Jing Xiao
VU-BERT: A Unified Framework for Visual Dialog. ICASSP (2022)
Wen Wang, Jianzong Wang, Shijing Si, Zhangcheng Huang, Jing Xiao
RL-MD: A Novel Reinforcement Learning Approach for DNA Motif Discovery. DSAA (2022)
Zhitao Zhu, Shijing Si, Jianzong Wang, Jing Xiao
Cali3F: Calibrated Fast Fair Federated Recommendation System. IJCNN (2022)
Jianhan Wu, Shijing Si, Jianzong Wang, Jing Xiao
Augmentation-induced Consistency Regularization for Classification. IJCNN (2022)
Zexuan Qiu, Qinliang Su, Jianxing Yu, Shijing Si
Efficient Document Retrieval by End-to-End Refining and Quantizing BERT Embedding with Contrastive Product Quantization. CoRR (2022)
Zihao Cao, Jianzong Wang, Shijing Si, Zhangcheng Huang, Jing Xiao
Machine Unlearning Method Based On Projection Residual. CoRR (2022)
Shijing Si, Jianzong Wang, Junqing Peng, Jing Xiao
Towards Speaker Age Estimation with Label Distribution Learning. CoRR (2022)
David Dov, Serge Assaad, Shijing Si, Rui Wang, Hongteng Xu, Shahar Ziv Kovalsky, Jonathan Bell, Danielle Elliott Range, Jonathan Cohen, Ricardo Henao, Lawrence Carin
Affinitention nets: kernel perspective on attention architectures for set classification with applications to medical text and images. CHIL (2021)
Jianzong Wang, Shijing Si, Zhenhou Hong, Xiaoyang Qu, Xinghua Zhu, Jing Xiao
Case Study of Few-Shot Learning in Text Recognition Models. WISE (2) (2021)
Shijing Si, Jianzong Wang, Xiaoyang Qu, Ning Cheng, Wenqi Wei, Xinghua Zhu, Jing Xiao
Speech2Video: Cross-Modal Distillation for Speech to Video Generation. CoRR (2021)
Dhanasekar Sundararaman, Vivek Subramanian, Guoyin Wang, Shijing Si, Dinghan Shen, Dong Wang, Lawrence Carin
Syntactic Knowledge-Infused Transformer and BERT Models. CIKM Workshops (2021)
Shijing Si, Jianzong Wang, Huiming Sun, Jianhan Wu, Chuanyao Zhang, Xiaoyang Qu, Ning Cheng, Lei Chen, Jing Xiao
Variational Information Bottleneck for Effective Low-resource Audio Classification. CoRR (2021)
Pengyu Cheng, Weituo Hao, Siyang Yuan, Shijing Si, Lawrence Carin
FairFil: Contrastive Neural Debiasing Method for Pretrained Text Encoders. ICLR (2021)
Shijing Si, Jianzong Wang, Xiaoyang Qu, Ning Cheng, Wenqi Wei, Xinghua Zhu, Jing Xiao
Speech2Video: Cross-Modal Distillation for Speech to Video Generation. Interspeech (2021)
Yehua Wei, Lei Zhang, Ruiyi Zhang, Shijing Si, Hao Zhang, Lawrence Carin
Reinforcement Learning for Flexibility Design Problems. CoRR (2021)
Pengyu Cheng, Weituo Hao, Siyang Yuan, Shijing Si, Lawrence Carin
FairFil: Contrastive Neural Debiasing Method for Pretrained Text Encoders. CoRR (2021)
Shijing Si, Jianzong Wang, Huiming Sun, Jianhan Wu, Chuanyao Zhang, Xiaoyang Qu, Ning Cheng, Lei Chen, Jing Xiao
Variational Information Bottleneck for Effective Low-Resource Audio Classification. Interspeech (2021)
Shijing Si, Chris J. Oates, Andrew B. Duncan, Lawrence Carin, François-Xavier Briol
Scalable Control Variates for Monte Carlo Methods Via Stochastic Optimization. MCQMC (2020)
Jia-Wen Gu, Shijing Si, Harry Zheng
Constrained Utility Deviation-Risk Optimization and Time-Consistent HJB Equation. SIAM J. Control. Optim. 58 (2) (2020)
Shijing Si, Rui Wang, Jedrek Wosik, Hao Zhang, David Dov, Guoyin Wang, Lawrence Carin
Students Need More Attention: BERT-based Attention Model for Small Data with Application to Automatic Patient Message Triage. MLHC (2020)
Rui Wang, Shijing Si, Guoyin Wang, Lei Zhang, Lawrence Carin, Ricardo Henao
Integrating Task Specific Information into Pretrained Language Models for Low Resource Fine Tuning. EMNLP (Findings) (2020)
Shijing Si, Rui Wang, Jedrek Wosik, Hao Zhang, David Dov, Guoyin Wang, Ricardo Henao, Lawrence Carin
Students Need More Attention: BERT-based AttentionModel for Small Data with Application to AutomaticPatient Message Triage. CoRR (2020)
Shijing Si, Chris J. Oates, Andrew B. Duncan, Lawrence Carin, François-Xavier Briol
Scalable Control Variates for Monte Carlo Methods via Stochastic Optimization. CoRR (2020)
Dhanasekar Sundararaman, Shijing Si, Vivek Subramanian, Guoyin Wang, Devamanyu Hazarika, Lawrence Carin
Methods for Numeracy-Preserving Word Embeddings. EMNLP (1) (2020)
Dhanasekar Sundararaman, Vivek Subramanian, Guoyin Wang, Shijing Si, Dinghan Shen, Dong Wang, Lawrence Carin
Syntax-Infused Transformer and BERT models for Machine Translation and Natural Language Understanding. CoRR (2019)