Shijing Si - RankMe

67 papers A* 4A 4B 11C 2Misc 3Journal 34Unranked 9

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Calibrating Sentiment Analysis: A Unimodal-Weighted Label Distribution Learning Approach. IEEE Access Zhenze Liu, Shijing Si, Jiawen Gu
2025	Misc	`conf`	GPPT: Gaussian Process-infused Prompt Tuning for Vision-language Models. ICASSP Shijing Si, Haixia Sun, Jiawen Gu
2025	J	`jnl`	Leveraging single-case results to Bayesian hierarchical modelling. Comput. Stat. Shijing Si, Jia-Wen Gu, Maozai Tian
2024	J	`jnl`	Evaluating the Performance of ChatGPT for Spam Email Detection. CoRR Yuwei Wu, Shijing Si, Yugui Zhang, Jiawen Gu, Jedrek Wosik
2024	—	`conf`	FFN: a Fine-grained Chinese-English Financial Domain Parallel Corpus. IALP Yuxin Fu, Shijing Si, Leyi Mai, Xiang Li
2024	J	`jnl`	FFN: a Fine-grained Chinese-English Financial Domain Parallel Corpus. CoRR Yuxin Fu, Shijing Si, Leyi Mai, Xiang Li
2024	A*	`conf`	Leveraging BERT and TFIDF Features for Short Text Clustering via Alignment-Promoting Co-Training. EMNLP Zetong Li, Qinliang Su, Shijing Si, Jianxing Yu
2024	J	`jnl`	Predicting Rental Price of Lane Houses in Shanghai with Machine Learning Methods and Large Language Models. CoRR Tingting Chen, Shijing Si
2024	J	`jnl`	Text Feature Adversarial Learning for Text Generation With Knowledge Transfer From GPT2. IEEE Trans. Neural Networks Learn. Syst. Hao Zhang, Yulai Cong, Zhengjue Wang, Lei Zhang, Miaoyun Zhao, Liqun Chen, Shijing Si, Ricardo Henao, Lawrence Carin
2023	J	`jnl`	Evaluating the Capability of ChatGPT on Ancient Chinese. CoRR Siqing Zhou, Shijing Si
2023	J	`jnl`	Label Smoothing for Enhanced Text Sentiment Classification. CoRR Yijie Gao, Shijing Si
2023	A*	`conf`	On the Calibration and Uncertainty with Pólya-Gamma Augmentation for Dialog Retrieval Models. AAAI Tong Ye, Shijing Si, Jianzong Wang, Ning Cheng, Zhitao Li, Jing Xiao
2023	J	`jnl`	On the Calibration and Uncertainty with Pólya-Gamma Augmentation for Dialog Retrieval Models. CoRR Tong Ye, Shijing Si, Jianzong Wang, Ning Cheng, Zhitao Li, Jing Xiao
2023	A	`conf`	Pushing the Efficiency Limit Using Structured Sparse Convolutions. WACV Vinay Kumar Verma, Nikhil Mehta, Shijing Si, Ricardo Henao, Lawrence Carin
2022	B	`conf`	A Fair Federated Learning Framework With Reinforcement Learning. IJCNN Yaqi Sun, Shijing Si, Jianzong Wang, Yuhan Dong, Zhitao Zhu, Jing Xiao
2022	J	`jnl`	A Fair Federated Learning Framework With Reinforcement Learning. CoRR Yaqi Sun, Shijing Si, Jianzong Wang, Yuhan Dong, Zhitao Zhu, Jing Xiao
2022	C	`conf`	A Nearest Neighbor Under-sampling Strategy for Vertical Federated Learning in Financial Domain. IH&MMSec Denghao Li, Jianzong Wang, Lingwei Kong, Shijing Si, Zhangcheng Huang, Chenyu Huang, Jing Xiao
2022	B	`conf`	Augmentation-induced Consistency Regularization for Classification. IJCNN Jianhan Wu, Shijing Si, Jianzong Wang, Jing Xiao
2022	J	`jnl`	Augmentation-induced Consistency Regularization for Classification. CoRR Jianhan Wu, Shijing Si, Jianzong Wang, Jing Xiao
2022	J	`jnl`	Boosting Star-GANs for Voice Conversion with Contrastive Discriminator. CoRR Shijing Si, Jianzong Wang, Xulong Zhang, Xiaoyang Qu, Ning Cheng, Jing Xiao
2022	—	`conf`	Boosting StarGANs for Voice Conversion with Contrastive Discriminator. ICONIP (2) Shijing Si, Jianzong Wang, Xulong Zhang, Xiaoyang Qu, Ning Cheng, Jing Xiao
2022	B	`conf`	Cali3F: Calibrated Fast Fair Federated Recommendation System. IJCNN Zhitao Zhu, Shijing Si, Jianzong Wang, Jing Xiao
2022	J	`jnl`	Cali3F: Calibrated Fast Fair Federated Recommendation System. CoRR Zhitao Zhu, Shijing Si, Jianzong Wang, Jing Xiao
2022	B	`conf`	Debias the Black-Box: A Fair Ranking Framework via Knowledge Distillation. WISE Zhitao Zhu, Shijing Si, Jianzong Wang, Yaodong Yang, Jing Xiao
2022	J	`jnl`	Debias the Black-box: A Fair Ranking Framework via Knowledge Distillation. CoRR Zhitao Zhu, Shijing Si, Jianzong Wang, Yaodong Yang, Jing Xiao
2022	A*	`conf`	Efficient Document Retrieval by End-to-End Refining and Quantizing BERT Embedding with Contrastive Product Quantization. EMNLP Zexuan Qiu, Qinliang Su, Jianxing Yu, Shijing Si
2022	J	`jnl`	Efficient Document Retrieval by End-to-End Refining and Quantizing BERT Embedding with Contrastive Product Quantization. CoRR Zexuan Qiu, Qinliang Su, Jianxing Yu, Shijing Si
2022	B	`conf`	Federated Non-negative Matrix Factorization for Short Texts Topic Modeling with Mutual Information. IJCNN Shijing Si, Jianzong Wang, Ruiyi Zhang, Qinliang Su, Jing Xiao
2022	J	`jnl`	Federated Non-negative Matrix Factorization for Short Texts Topic Modeling with Mutual Information. CoRR Shijing Si, Jianzong Wang, Ruiyi Zhang, Qinliang Su, Jing Xiao
2022	B	`conf`	Federated Split BERT for Heterogeneous Text Classification. IJCNN Zhengyang Li, Shijing Si, Jianzong Wang, Jing Xiao
2022	J	`jnl`	Federated Split BERT for Heterogeneous Text Classification. CoRR Zhengyang Li, Shijing Si, Jianzong Wang, Jing Xiao
2022	B	`conf`	Improving Human Image Synthesis with Residual Fast Fourier Transformation and Wasserstein Distance. IJCNN Jianhan Wu, Shijing Si, Jianzong Wang, Jing Xiao
2022	J	`jnl`	Improving Human Image Synthesis with Residual Fast Fourier Transformation and Wasserstein Distance. CoRR Jianhan Wu, Shijing Si, Jianzong Wang, Jing Xiao
2022	B	`conf`	Leveraging Causal Inference for Explainable Automatic Program Repair. IJCNN Jianzong Wang, Shijing Si, Zhitao Zhu, Xiaoyang Qu, Zhenhou Hong, Jing Xiao
2022	J	`jnl`	Leveraging Causal Inference for Explainable Automatic Program Repair. CoRR Jianzong Wang, Shijing Si, Zhitao Zhu, Xiaoyang Qu, Zhenhou Hong, Jing Xiao
2022	B	`conf`	Machine Unlearning Method Based On Projection Residual. DSAA Zihao Cao, Jianzong Wang, Shijing Si, Zhangcheng Huang, Jing Xiao
2022	J	`jnl`	Machine Unlearning Method Based On Projection Residual. CoRR Zihao Cao, Jianzong Wang, Shijing Si, Zhangcheng Huang, Jing Xiao
2022	C	`conf`	Pose Guided Human Image Synthesis with Partially Decoupled GAN. ACML Jianhan Wu, Shijing Si, Jianzong Wang, Xiaoyang Qu, Jing Xiao
2022	J	`jnl`	Pose Guided Human Image Synthesis with Partially Decoupled GAN. CoRR Jianhan Wu, Jianzong Wang, Shijing Si, Xiaoyang Qu, Jing Xiao
2022	J	`jnl`	Pushing the Efficiency Limit Using Structured Sparse Convolutions. CoRR Vinay Kumar Verma, Nikhil Mehta, Shijing Si, Ricardo Henao, Lawrence Carin
2022	B	`conf`	RL-MD: A Novel Reinforcement Learning Approach for DNA Motif Discovery. DSAA Wen Wang, Jianzong Wang, Shijing Si, Zhangcheng Huang, Jing Xiao
2022	J	`jnl`	RL-MD: A Novel Reinforcement Learning Approach for DNA Motif Discovery. CoRR Wen Wang, Jianzong Wang, Shijing Si, Zhangcheng Huang, Jing Xiao
2022	Misc	`conf`	Towards Speaker Age Estimation With Label Distribution Learning. ICASSP Shijing Si, Jianzong Wang, Junqing Peng, Jing Xiao
2022	J	`jnl`	Towards Speaker Age Estimation with Label Distribution Learning. CoRR Shijing Si, Jianzong Wang, Junqing Peng, Jing Xiao
2022	A	`conf`	Uncertainty Calibration for Deep Audio Classifiers. INTERSPEECH Tong Ye, Shijing Si, Jianzong Wang, Ning Cheng, Jing Xiao
2022	J	`jnl`	Uncertainty Calibration for Deep Audio Classifiers. CoRR Tong Ye, Shijing Si, Jianzong Wang, Ning Cheng, Jing Xiao
2022	Misc	`conf`	VU-BERT: A Unified Framework for Visual Dialog. ICASSP Tong Ye, Shijing Si, Jianzong Wang, Rui Wang, Ning Cheng, Jing Xiao
2022	J	`jnl`	VU-BERT: A Unified framework for Visual Dialog. CoRR Tong Ye, Shijing Si, Jianzong Wang, Rui Wang, Ning Cheng, Jing Xiao
2022	B	`conf`	zkMLaaS: a Verifiable Scheme for Machine Learning as a Service. GLOBECOM Chenyu Huang, Jianzong Wang, Huangxun Chen, Shijing Si, Zhangcheng Huang, Jing Xiao
2021	—	`conf`	Affinitention nets: kernel perspective on attention architectures for set classification with applications to medical text and images. CHIL David Dov, Serge Assaad, Shijing Si, Rui Wang, Hongteng Xu, Shahar Ziv Kovalsky, Jonathan Bell, Danielle Elliott Range, Jonathan Cohen, Ricardo Henao, Lawrence Carin
2021	—	`conf`	Case Study of Few-Shot Learning in Text Recognition Models. WISE (2) Jianzong Wang, Shijing Si, Zhenhou Hong, Xiaoyang Qu, Xinghua Zhu, Jing Xiao
2021	A*	`conf`	FairFil: Contrastive Neural Debiasing Method for Pretrained Text Encoders. ICLR Pengyu Cheng, Weituo Hao, Siyang Yuan, Shijing Si, Lawrence Carin
2021	J	`jnl`	FairFil: Contrastive Neural Debiasing Method for Pretrained Text Encoders. CoRR Pengyu Cheng, Weituo Hao, Siyang Yuan, Shijing Si, Lawrence Carin
2021	J	`jnl`	Reinforcement Learning for Flexibility Design Problems. CoRR Yehua Wei, Lei Zhang, Ruiyi Zhang, Shijing Si, Hao Zhang, Lawrence Carin
2021	A	`conf`	Speech2Video: Cross-Modal Distillation for Speech to Video Generation. Interspeech Shijing Si, Jianzong Wang, Xiaoyang Qu, Ning Cheng, Wenqi Wei, Xinghua Zhu, Jing Xiao
2021	J	`jnl`	Speech2Video: Cross-Modal Distillation for Speech to Video Generation. CoRR Shijing Si, Jianzong Wang, Xiaoyang Qu, Ning Cheng, Wenqi Wei, Xinghua Zhu, Jing Xiao
2021	—	`conf`	Syntactic Knowledge-Infused Transformer and BERT Models. CIKM Workshops Dhanasekar Sundararaman, Vivek Subramanian, Guoyin Wang, Shijing Si, Dinghan Shen, Dong Wang, Lawrence Carin
2021	A	`conf`	Variational Information Bottleneck for Effective Low-Resource Audio Classification. Interspeech Shijing Si, Jianzong Wang, Huiming Sun, Jianhan Wu, Chuanyao Zhang, Xiaoyang Qu, Ning Cheng, Lei Chen, Jing Xiao
2021	J	`jnl`	Variational Information Bottleneck for Effective Low-resource Audio Classification. CoRR Shijing Si, Jianzong Wang, Huiming Sun, Jianhan Wu, Chuanyao Zhang, Xiaoyang Qu, Ning Cheng, Lei Chen, Jing Xiao
2020	J	`jnl`	Constrained Utility Deviation-Risk Optimization and Time-Consistent HJB Equation. SIAM J. Control. Optim. Jia-Wen Gu, Shijing Si, Harry Zheng
2020	—	`conf`	Integrating Task Specific Information into Pretrained Language Models for Low Resource Fine Tuning. EMNLP (Findings) Rui Wang, Shijing Si, Guoyin Wang, Lei Zhang, Lawrence Carin, Ricardo Henao
2020	—	`conf`	Methods for Numeracy-Preserving Word Embeddings. EMNLP (1) Dhanasekar Sundararaman, Shijing Si, Vivek Subramanian, Guoyin Wang, Devamanyu Hazarika, Lawrence Carin
2020	—	`conf`	Scalable Control Variates for Monte Carlo Methods Via Stochastic Optimization. MCQMC Shijing Si, Chris J. Oates, Andrew B. Duncan, Lawrence Carin, François-Xavier Briol
2020	J	`jnl`	Scalable Control Variates for Monte Carlo Methods via Stochastic Optimization. CoRR Shijing Si, Chris J. Oates, Andrew B. Duncan, Lawrence Carin, François-Xavier Briol
2020	—	`conf`	Students Need More Attention: BERT-based Attention Model for Small Data with Application to Automatic Patient Message Triage. MLHC Shijing Si, Rui Wang, Jedrek Wosik, Hao Zhang, David Dov, Guoyin Wang, Lawrence Carin
2020	J	`jnl`	Students Need More Attention: BERT-based AttentionModel for Small Data with Application to AutomaticPatient Message Triage. CoRR Shijing Si, Rui Wang, Jedrek Wosik, Hao Zhang, David Dov, Guoyin Wang, Ricardo Henao, Lawrence Carin
2019	J	`jnl`	Syntax-Infused Transformer and BERT models for Machine Translation and Natural Language Understanding. CoRR Dhanasekar Sundararaman, Vivek Subramanian, Guoyin Wang, Shijing Si, Dinghan Shen, Dong Wang, Lawrence Carin