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2020 – today
- 2024
[j2]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): 6558-6569 (2024)- [c32]Zetong Li, Qinliang Su, Shijing Si, Jianxing Yu:
Leveraging BERT and TFIDF Features for Short Text Clustering via Alignment-Promoting Co-Training. EMNLP 2024: 14897-14913 - [c31]Yuxin Fu, Shijing Si, Leyi Mai, Xi-ang Li:
FFN: a Fine-grained Chinese-English Financial Domain Parallel Corpus. IALP 2024: 127-132 - [i30]Yuwei Wu, Shijing Si, Yugui Zhang, Jiawen Gu, Jedrek Wosik:
Evaluating the Performance of ChatGPT for Spam Email Detection. CoRR abs/2402.15537 (2024) - [i29]Tingting Chen, Shijing Si:
Predicting Rental Price of Lane Houses in Shanghai with Machine Learning Methods and Large Language Models. CoRR abs/2405.17505 (2024) - [i28]Yuxin Fu, Shijing Si, Leyi Mai, Xi-ang Li:
FFN: a Fine-grained Chinese-English Financial Domain Parallel Corpus. CoRR abs/2406.18856 (2024) - 2023
- [c30]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: 13923-13931 - [c29]Vinay Kumar Verma, Nikhil Mehta, Shijing Si, Ricardo Henao, Lawrence Carin:
Pushing the Efficiency Limit Using Structured Sparse Convolutions. WACV 2023: 6492-6502 - [i27]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 abs/2303.08606 (2023) - [i26]Yijie Gao, Shijing Si:
Label Smoothing for Enhanced Text Sentiment Classification. CoRR abs/2312.06522 (2023) - [i25]Siqing Zhou, Shijing Si:
Evaluating the Capability of ChatGPT on Ancient Chinese. CoRR abs/2312.15304 (2023) - 2022
- [c28]Jianhan Wu, Shijing Si, Jianzong Wang, Xiaoyang Qu, Jing Xiao:
Pose Guided Human Image Synthesis with Partially Decoupled GAN. ACML 2022: 1133-1148 - [c27]Zihao Cao, Jianzong Wang, Shijing Si, Zhangcheng Huang, Jing Xiao:
Machine Unlearning Method Based On Projection Residual. DSAA 2022: 1-8 - [c26]Wen Wang, Jianzong Wang, Shijing Si, Zhangcheng Huang, Jing Xiao:
RL-MD: A Novel Reinforcement Learning Approach for DNA Motif Discovery. DSAA 2022: 1-7 - [c25]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: 853-863 - [c24]Chenyu Huang, Jianzong Wang, Huangxun Chen, Shijing Si, Zhangcheng Huang, Jing Xiao:
zkMLaaS: a Verifiable Scheme for Machine Learning as a Service. GLOBECOM 2022: 5475-5480 - [c23]Shijing Si, Jianzong Wang, Junqing Peng, Jing Xiao:
Towards Speaker Age Estimation With Label Distribution Learning. ICASSP 2022: 4618-4622 - [c22]Tong Ye, Shijing Si, Jianzong Wang, Rui Wang, Ning Cheng, Jing Xiao:
VU-BERT: A Unified Framework for Visual Dialog. ICASSP 2022: 6687-6691 - [c21]Shijing Si, Jianzong Wang, Xulong Zhang, Xiaoyang Qu, Ning Cheng, Jing Xiao:
Boosting StarGANs for Voice Conversion with Contrastive Discriminator. ICONIP (2) 2022: 355-366 - [c20]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: 123-128 - [c19]Zhengyang Li, Shijing Si, Jianzong Wang, Jing Xiao:
Federated Split BERT for Heterogeneous Text Classification. IJCNN 2022: 1-8 - [c18]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: 1-7 - [c17]Yaqi Sun, Shijing Si, Jianzong Wang, Yuhan Dong, Zhitao Zhu, Jing Xiao:
A Fair Federated Learning Framework With Reinforcement Learning. IJCNN 2022: 1-8 - [c16]Jianzong Wang, Shijing Si, Zhitao Zhu, Xiaoyang Qu, Zhenhou Hong, Jing Xiao:
Leveraging Causal Inference for Explainable Automatic Program Repair. IJCNN 2022: 1-6 - [c15]Jianhan Wu, Shijing Si, Jianzong Wang, Jing Xiao:
Augmentation-induced Consistency Regularization for Classification. IJCNN 2022: 1-7 - [c14]Jianhan Wu, Shijing Si, Jianzong Wang, Jing Xiao:
Improving Human Image Synthesis with Residual Fast Fourier Transformation and Wasserstein Distance. IJCNN 2022: 1-8 - [c13]Zhitao Zhu, Shijing Si, Jianzong Wang, Jing Xiao:
Cali3F: Calibrated Fast Fair Federated Recommendation System. IJCNN 2022: 1-8 - [c12]Tong Ye, Shijing Si, Jianzong Wang, Ning Cheng, Jing Xiao:
Uncertainty Calibration for Deep Audio Classifiers. INTERSPEECH 2022: 1556-1560 - [c11]Zhitao Zhu, Shijing Si, Jianzong Wang, Yaodong Yang, Jing Xiao:
Debias the Black-Box: A Fair Ranking Framework via Knowledge Distillation. WISE 2022: 395-405 - [i24]Tong Ye, Shijing Si, Jianzong Wang, Rui Wang, Ning Cheng, Jing Xiao:
VU-BERT: A Unified framework for Visual Dialog. CoRR abs/2202.10787 (2022) - [i23]Shijing Si, Jianzong Wang, Junqing Peng, Jing Xiao:
Towards Speaker Age Estimation with Label Distribution Learning. CoRR abs/2202.11424 (2022) - [i22]Jianhan Wu, Shijing Si, Jianzong Wang, Jing Xiao:
Improving Human Image Synthesis with Residual Fast Fourier Transformation and Wasserstein Distance. CoRR abs/2205.12022 (2022) - [i21]Jianhan Wu, Shijing Si, Jianzong Wang, Jing Xiao:
Augmentation-induced Consistency Regularization for Classification. CoRR abs/2205.12461 (2022) - [i20]Zhitao Zhu, Shijing Si, Jianzong Wang, Jing Xiao:
Cali3F: Calibrated Fast Fair Federated Recommendation System. CoRR abs/2205.13121 (2022) - [i19]Zhengyang Li, Shijing Si, Jianzong Wang, Jing Xiao:
Federated Split BERT for Heterogeneous Text Classification. CoRR abs/2205.13299 (2022) - [i18]Shijing Si, Jianzong Wang, Ruiyi Zhang, Qinliang Su, Jing Xiao:
Federated Non-negative Matrix Factorization for Short Texts Topic Modeling with Mutual Information. CoRR abs/2205.13300 (2022) - [i17]Jianzong Wang, Shijing Si, Zhitao Zhu, Xiaoyang Qu, Zhenhou Hong, Jing Xiao:
Leveraging Causal Inference for Explainable Automatic Program Repair. CoRR abs/2205.13342 (2022) - [i16]Yaqi Sun, Shijing Si, Jianzong Wang, Yuhan Dong, Zhitao Zhu, Jing Xiao:
A Fair Federated Learning Framework With Reinforcement Learning. CoRR abs/2205.13415 (2022) - [i15]Tong Ye, Shijing Si, Jianzong Wang, Ning Cheng, Jing Xiao:
Uncertainty Calibration for Deep Audio Classifiers. CoRR abs/2206.13071 (2022) - [i14]Zhitao Zhu, Shijing Si, Jianzong Wang, Yaodong Yang, Jing Xiao:
Debias the Black-box: A Fair Ranking Framework via Knowledge Distillation. CoRR abs/2208.11628 (2022) - [i13]Shijing Si, Jianzong Wang, Xulong Zhang, Xiaoyang Qu, Ning Cheng, Jing Xiao:
Boosting Star-GANs for Voice Conversion with Contrastive Discriminator. CoRR abs/2209.10088 (2022) - [i12]Wen Wang, Jianzong Wang, Shijing Si, Zhangcheng Huang, Jing Xiao:
RL-MD: A Novel Reinforcement Learning Approach for DNA Motif Discovery. CoRR abs/2209.15181 (2022) - [i11]Zihao Cao, Jianzong Wang, Shijing Si, Zhangcheng Huang, Jing Xiao:
Machine Unlearning Method Based On Projection Residual. CoRR abs/2209.15276 (2022) - [i10]Jianhan Wu, Jianzong Wang, Shijing Si, Xiaoyang Qu, Jing Xiao:
Pose Guided Human Image Synthesis with Partially Decoupled GAN. CoRR abs/2210.03627 (2022) - [i9]Vinay Kumar Verma, Nikhil Mehta, Shijing Si, Ricardo Henao, Lawrence Carin:
Pushing the Efficiency Limit Using Structured Sparse Convolutions. CoRR abs/2210.12818 (2022) - [i8]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 abs/2210.17170 (2022) - 2021
- [c10]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: 14-24 - [c9]Dhanasekar Sundararaman, Vivek Subramanian, Guoyin Wang, Shijing Si, Dinghan Shen, Dong Wang, Lawrence Carin:
Syntactic Knowledge-Infused Transformer and BERT Models. CIKM Workshops 2021 - [c8]Pengyu Cheng, Weituo Hao, Siyang Yuan, Shijing Si, Lawrence Carin:
FairFil: Contrastive Neural Debiasing Method for Pretrained Text Encoders. ICLR 2021 - [c7]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: 591-595 - [c6]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: 1629-1633 - [c5]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: 394-401 - [i7]Yehua Wei, Lei Zhang, Ruiyi Zhang, Shijing Si, Hao Zhang, Lawrence Carin:
Reinforcement Learning for Flexibility Design Problems. CoRR abs/2101.00355 (2021) - [i6]Pengyu Cheng, Weituo Hao, Siyang Yuan, Shijing Si, Lawrence Carin:
FairFil: Contrastive Neural Debiasing Method for Pretrained Text Encoders. CoRR abs/2103.06413 (2021) - [i5]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 abs/2107.04803 (2021) - [i4]Shijing Si, Jianzong Wang, Xiaoyang Qu, Ning Cheng, Wenqi Wei, Xinghua Zhu, Jing Xiao:
Speech2Video: Cross-Modal Distillation for Speech to Video Generation. CoRR abs/2107.04806 (2021) - 2020
- [j1]Jia-Wen Gu, Shijing Si, Harry Zheng:
Constrained Utility Deviation-Risk Optimization and Time-Consistent HJB Equation. SIAM J. Control. Optim. 58(2): 866-894 (2020) - [c4]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: 3181-3186 - [c3]Dhanasekar Sundararaman, Shijing Si, Vivek Subramanian, Guoyin Wang, Devamanyu Hazarika, Lawrence Carin:
Methods for Numeracy-Preserving Word Embeddings. EMNLP (1) 2020: 4742-4753 - [c2]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: 205-221 - [c1]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: 436-456 - [i3]Shijing Si, Chris J. Oates, Andrew B. Duncan, Lawrence Carin, François-Xavier Briol:
Scalable Control Variates for Monte Carlo Methods via Stochastic Optimization. CoRR abs/2006.07487 (2020) - [i2]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 abs/2006.11991 (2020)
2010 – 2019
- 2019
- [i1]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 abs/1911.06156 (2019)
Coauthor Index
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