Jiaxin Shi

According to our database, Jiaxin Shi authored at least 85 papers between 2014 and 2024.

Collaborative distances:

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

2024

Reading better with AR or print picture books? A quasi-experiment on primary school students' reading comprehension, story retelling and reading motivation.

Shiyu Liu, Yucheng Sui, Zhongnan You, Jiaxin Shi, Ziyang Wang, Cheng Zhong

Educ. Inf. Technol., June, 2024

Human Motion Generation: A Survey.

Wentao Zhu, Xiaoxuan Ma, Dongwoo Ro, Hai Ci, Jinlu Zhang, Jiaxin Shi, Feng Gao, Qi Tian, Yizhou Wang

IEEE Trans. Pattern Anal. Mach. Intell., April, 2024

Re-TASK: Revisiting LLM Tasks from Capability, Skill, and Knowledge Perspectives.

Zhihu Wang, Shiwan Zhao, Yu Wang, Heyuan Huang, Jiaxin Shi, Sitao Xie, Zhixing Wang, Yubo Zhang, Hongyan Li, Junchi Yan

CoRR, 2024

Informed Correctors for Discrete Diffusion Models.

Yixiu Zhao, Jiaxin Shi, Lester Mackey, Scott W. Linderman

CoRR, 2024

TOP:A New Target-Audience Oriented Content Paraphrase Task.

Boda Lin, Jiaxin Shi, Haolong Yan, Binghao Tang, Xiaocheng Gong, Si Li

CoRR, 2024

ViD-GPT: Introducing GPT-style Autoregressive Generation in Video Diffusion Models.

Kaifeng Gao, Jiaxin Shi, Hanwang Zhang, Chunping Wang, Jun Xiao

CoRR, 2024

Simplified and Generalized Masked Diffusion for Discrete Data.

Jiaxin Shi, Kehang Han, Zhe Wang, Arnaud Doucet, Michalis K. Titsias

CoRR, 2024

Probing Structured Semantics Understanding and Generation of Language Models via Question Answering.

Jinxin Liu, Shulin Cao, Jiaxin Shi, Tingjian Zhang, Lei Hou, Juanzi Li

CoRR, 2024

Corrections to "Two Methods With Bidirectional Similarity for Optimal Selections of Supplier Portfolio and Supplier Substitute Based on TOPSIS and IFS".

Chao Wang, Jiaxin Shi, Yang Yang, Rui Wang

IEEE Access, 2024

Two Methods With Bidirectional Similarity for Optimal Selections of Supplier Portfolio and Supplier Substitute Based on TOPSIS and IFS.

Chao Wang, Jiaxin Shi, Yang Yang, Rui Wang

IEEE Access, 2024

Non-confusing Generation of Customized Concepts in Diffusion Models.

Wang Lin, Jingyuan Chen, Jiaxin Shi, Yichen Zhu, Chen Liang, Junzhong Miao, Tao Jin, Zhou Zhao, Fei Wu, Shuicheng Yan, Hanwang Zhang

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Cross-Lingual Transfer for Natural Language Inference via Multilingual Prompt Translator.

Xiaoyu Qiu, Yuechen Wang, Jiaxin Shi, Wengang Zhou, Houqiang Li

Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

CACFD: Channel Attention for Computational Fluid Dynamics Stimulation.

Hao Sun, Jiaxin Shi

Proceedings of the 3rd International Conference on Artificial Intelligence, 2024

How Proficient Are Large Language Models in Formal Languages? An In-Depth Insight for Knowledge Base Question Answering.

Jinxin Liu, Shulin Cao, Jiaxin Shi, Tingjian Zhang, Lunyiu Nie, Linmei Hu, Lei Hou, Juanzi Li

Proceedings of the Findings of the Association for Computational Linguistics, 2024

Leveraging Machine-Generated Rationales to Facilitate Social Meaning Detection in Conversations.

Ritam Dutt, Zhen Wu, Jiaxin Shi, Divyanshu Sheth, Prakhar Gupta, Carolyn P. Rosé

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Preparing Lessons for Progressive Training on Language Models.

Yu Pan, Ye Yuan, Yichun Yin, Jiaxin Shi, Zenglin Xu, Ming Zhang, Lifeng Shang, Xin Jiang, Qun Liu

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Learning Absorption Rates in Glucose-Insulin Dynamics from Meal Covariates.

Ke Alexander Wang, Matthew E. Levine, Jiaxin Shi, Emily B. Fox

CoRR, 2023

A Finite-Particle Convergence Rate for Stein Variational Gradient Descent.

Jiaxin Shi, Lester Mackey

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Sequence Modeling with Multiresolution Convolutional Memory.

Jiaxin Shi, Ke Alexander Wang, Emily B. Fox

Proceedings of the International Conference on Machine Learning, 2023

Measuring Human Perception and Negative Elements of Public Space Quality Using Deep Learning: A Case Study of Area Within the Inner Road of Tianjin City.

Jiaxin Shi, Kaifeng Hao

Proceedings of the Artificial Intelligence in HCI, 2023

Probabilistic Tree-of-thought Reasoning for Answering Knowledge-intensive Complex Questions.

Shulin Cao, Jiajie Zhang, Jiaxin Shi, Xin Lv, Zijun Yao, Qi Tian, Lei Hou, Juanzi Li

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Hybrid and Collaborative Passage Reranking.

Zongmeng Zhang, Wengang Zhou, Jiaxin Shi, Houqiang Li

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Reasoning over Hierarchical Question Decomposition Tree for Explainable Question Answering.

Jiajie Zhang, Shulin Cao, Tingjian Zhang, Xin Lv, Juanzi Li, Lei Hou, Jiaxin Shi, Qi Tian

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

BEST: BERT Pre-training for Sign Language Recognition with Coupling Tokenization.

Weichao Zhao, Hezhen Hu, Wengang Zhou, Jiaxin Shi, Houqiang Li

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

2022

A deep learning approach with subregion partition in MRI image analysis for metastatic brain tumor.

Jiaxin Shi, Zilong Zhao, Tao Jiang, Hua Ai, Jiani Liu, Xinpu Chen, Yahong Luo, Huijie Fan, Xiran Jiang

Frontiers Neuroinformatics, 2022

Neural Eigenfunctions Are Structured Representation Learners.

Zhijie Deng, Jiaxin Shi, Hao Zhang, Peng Cui, Cewu Lu, Jun Zhu

CoRR, 2022

HiVLP: Hierarchical Vision-Language Pre-Training for Fast Image-Text Retrieval.

Feilong Chen, Xiuyi Chen, Jiaxin Shi, Duzhen Zhang, Jianlong Chang, Qi Tian

CoRR, 2022

GraphQ IR: Unifying Semantic Parsing of Graph Query Language with Intermediate Representation.

Lunyiu Nie, Shulin Cao, Jiaxin Shi, Qi Tian, Lei Hou, Juanzi Li, Jidong Zhai

CoRR, 2022

Schema-Free Dependency Parsing via Sequence Generation.

Boda Lin, Zijun Yao, Jiaxin Shi, Shulin Cao, Binghao Tang, Si Li, Yong Luo, Juanzi Li, Lei Hou

CoRR, 2022

MRI-based intratumoral and peritumoral radiomics on prediction of lymph-vascular space invasion in cervical cancer: A multi-center study.

Jiaxin Shi, Linpeng Cui, Hongbo Wang, Yue Dong, Tao Yu, Huazhe Yang, Xingling Wang, Guanyu Liu, Wenyan Jiang, Yahong Luo, Zhiguang Yang, Xiran Jiang

Biomed. Signal Process. Control., 2022

Gradient Estimation with Discrete Stein Operators.

Jiaxin Shi, Yuhao Zhou, Jessica Hwang, Michalis K. Titsias, Lester Mackey

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

NeuralEF: Deconstructing Kernels by Deep Neural Networks.

Zhijie Deng, Jiaxin Shi, Jun Zhu

Proceedings of the International Conference on Machine Learning, 2022

Sampling with Mirrored Stein Operators.

Jiaxin Shi, Chang Liu, Lester Mackey

Proceedings of the Tenth International Conference on Learning Representations, 2022

G-MAP: General Memory-Augmented Pre-trained Language Model for Domain Tasks.

Zhongwei Wan, Yichun Yin, Wei Zhang, Jiaxin Shi, Lifeng Shang, Guangyong Chen, Xin Jiang, Qun Liu

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

GraphQ IR: Unifying the Semantic Parsing of Graph Query Languages with One Intermediate Representation.

Lunyiu Nie, Shulin Cao, Jiaxin Shi, Jiuding Sun, Qi Tian, Lei Hou, Juanzi Li, Jidong Zhai

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

ParaMac: A General Unsupervised Paraphrase Generation Framework Leveraging Semantic Constraints and Diversifying Mechanisms.

Jinxin Liu, Jiaxin Shi, Ji Qi, Lei Hou, Juanzi Li, Qi Tian

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Dependency Parsing via Sequence Generation.

Boda Lin, Zijun Yao, Jiaxin Shi, Shulin Cao, Binghao Tang, Si Li, Yong Luo, Juanzi Li, Lei Hou

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Triple-as-Node Knowledge Graph and Its Embeddings.

Xin Lv, Jiaxin Shi, Shulin Cao, Lei Hou, Juanzi Li

Proceedings of the Database Systems for Advanced Applications, 2022

Double Control Variates for Gradient Estimation in Discrete Latent Variable Models.

Michalis K. Titsias, Jiaxin Shi

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

KQA Pro: A Dataset with Explicit Compositional Programs for Complex Question Answering over Knowledge Base.

Shulin Cao, Jiaxin Shi, Liangming Pan, Lunyiu Nie, Yutong Xiang, Lei Hou, Juanzi Li, Bin He, Hanwang Zhang

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

Program Transfer for Answering Complex Questions over Knowledge Bases.

Shulin Cao, Jiaxin Shi, Zijun Yao, Xin Lv, Jifan Yu, Lei Hou, Juanzi Li, Zhiyuan Liu, Jinghui Xiao

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021

Program Transfer and Ontology Awareness for Semantic Parsing in KBQA.

Shulin Cao, Jiaxin Shi, Zijun Yao, Lei Hou, Juanzi Li, Jinghui Xiao

CoRR, 2021

Scalable Variational Gaussian Processes via Harmonic Kernel Decomposition.

Shengyang Sun, Jiaxin Shi, Andrew Gordon Wilson, Roger B. Grosse

Proceedings of the 38th International Conference on Machine Learning, 2021

TransferNet: An Effective and Transparent Framework for Multi-hop Question Answering over Relation Graph.

Jiaxin Shi, Shulin Cao, Lei Hou, Juanzi Li, Hanwang Zhang

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Iterative Strict Density-Based Clustering for News Stream.

Kaijie Shi, Jiaxin Shi, Yu Zhou, Lei Hou, Juanzi Li

Proceedings of the Information Retrieval - 27th China Conference, 2021

TWAG: A Topic-Guided Wikipedia Abstract Generator.

Fangwei Zhu, Shangqing Tu, Jiaxin Shi, Juanzi Li, Lei Hou, Tong Cui

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020

Calibrating nested sensor arrays for DOA estimation utilizing continuous multiplication operator.

Ye Tian, Jiaxin Shi, Hong Yue, Xiaoliu Rong

Signal Process., 2020

KQA Pro: A Large Diagnostic Dataset for Complex Question Answering over Knowledge Base.

Jiaxin Shi, Shulin Cao, Liangming Pan, Yutong Xiang, Lei Hou, Juanzi Li, Hanwang Zhang, Bin He

CoRR, 2020

Nonparametric Score Estimators.

Yuhao Zhou, Jiaxin Shi, Jun Zhu

Proceedings of the 37th International Conference on Machine Learning, 2020

Baidu Kunlun An AI processor for diversified workloads.

Jian Ouyang, Mijung Noh, Yong Wang, Wei Qi, Yin Ma, Canghai Gu, SoonGon Kim, Ki-il Hong, Wang-Keun Bae, Zhibiao Zhao, Jing Wang, Peng Wu, Xiaozhang Gong, Jiaxin Shi, Hefei Zhu, Xueliang Du

Proceedings of the IEEE Hot Chips 32 Symposium, 2020

Unbiased Scene Graph Generation From Biased Training.

Kaihua Tang, Yulei Niu, Jianqiang Huang, Jiaxin Shi, Hanwang Zhang

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Named Entity Recognition Using a Semi-supervised Model Based on BERT and Bootstrapping.

Yuanyuan Liu, Xiang Li, Jiaxin Shi, Lei Zhang, Juanzi Li

Proceedings of the Knowledge Graph and Semantic Computing: Knowledge Graph and Cognitive Intelligence, 2020

Sparse Orthogonal Variational Inference for Gaussian Processes.

Jiaxin Shi, Michalis K. Titsias, Andriy Mnih

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019

Non-coherent direction of arrival estimation utilizing linear model approximation.

Ye Tian, Jiaxin Shi, Yanru Wang, Qiusheng Lian

Signal Process., 2019

Sliced Score Matching: A Scalable Approach to Density and Score Estimation.

Yang Song, Sahaj Garg, Jiaxin Shi, Stefano Ermon

Proceedings of the Thirty-Fifth Conference on Uncertainty in Artificial Intelligence, 2019

Event-Oriented Wiki Document Generation.

Fangwei Zhu, Zhengguo Wang, Juanzi Li, Lei Hou, Jiaxin Shi, Shining Lv, Ran Shen, Junjun Jiang

Proceedings of the Semantic Technology - 9th Joint International Conference, 2019

DSEL: A Domain-Specific Entity Linking System.

Xinru Zhang, Huifang Xu, Yixin Cao, Yuanpeng Tan, Lei Hou, Juanzi Li, Jiaxin Shi

Proceedings of the Semantic Technology - 9th Joint International Conference, 2019

Scalable Training of Inference Networks for Gaussian-Process Models.

Jiaxin Shi, Mohammad Emtiyaz Khan, Jun Zhu

Proceedings of the 36th International Conference on Machine Learning, 2019

Functional variational Bayesian Neural Networks.

Shengyang Sun, Guodong Zhang, Jiaxin Shi, Roger B. Grosse

Proceedings of the 7th International Conference on Learning Representations, 2019

Semi-supervised Entity Alignment via Joint Knowledge Embedding Model and Cross-graph Model.

Chengjiang Li, Yixin Cao, Lei Hou, Jiaxin Shi, Juanzi Li, Tat-Seng Chua

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Explainable and Explicit Visual Reasoning Over Scene Graphs.

Jiaxin Shi, Hanwang Zhang, Juanzi Li

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

DeepChannel: Salience Estimation by Contrastive Learning for Extractive Document Summarization.

Jiaxin Shi, Chen Liang, Lei Hou, Juanzi Li, Zhiyuan Liu, Hanwang Zhang

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Learning to Embed Sentences Using Attentive Recursive Trees.

Jiaxin Shi, Lei Hou, Juanzi Li, Zhiyuan Liu, Hanwang Zhang

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Analyzing the Training Processes of Deep Generative Models.

Mengchen Liu, Jiaxin Shi, Kelei Cao, Jun Zhu, Shixia Liu

IEEE Trans. Vis. Comput. Graph., 2018

PowerLyra: Differentiated Graph Computation and Partitioning on Skewed Graphs.

Rong Chen, Jiaxin Shi, Yanzhe Chen, Binyu Zang, Haibing Guan, Haibo Chen

ACM Trans. Parallel Comput., 2018

Non-fragile chaotic synchronization for discontinuous neural networks with time-varying delays and random feedback gain uncertainties.

Xiao Peng, Huaiqin Wu, Ka Song, Jiaxin Shi

Neurocomputing, 2018

Semi-crowdsourced Clustering with Deep Generative Models.

Yucen Luo, Tian Tian, Jiaxin Shi, Jun Zhu, Bo Zhang

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Message Passing Stein Variational Gradient Descent.

Jingwei Zhuo, Chang Liu, Jiaxin Shi, Jun Zhu, Ning Chen, Bo Zhang

Proceedings of the 35th International Conference on Machine Learning, 2018

A Spectral Approach to Gradient Estimation for Implicit Distributions.

Jiaxin Shi, Shengyang Sun, Jun Zhu

Proceedings of the 35th International Conference on Machine Learning, 2018

Kernel Implicit Variational Inference.

Jiaxin Shi, Shengyang Sun, Jun Zhu

Proceedings of the 6th International Conference on Learning Representations, 2018

2017

PlenoPatch: Patch-Based Plenoptic Image Manipulation.

Fang-Lue Zhang, Jue Wang, Eli Shechtman, Zi-Ye Zhou, Jiaxin Shi, Shi-Min Hu

IEEE Trans. Vis. Comput. Graph., 2017

Towards Better Analysis of Deep Convolutional Neural Networks.

Mengchen Liu, Jiaxin Shi, Zhen Li, Chongxuan Li, Jun Zhu, Shixia Liu

IEEE Trans. Vis. Comput. Graph., 2017

Fast In-Memory Transaction Processing Using RDMA and HTM.

Haibo Chen, Rong Chen, Xingda Wei, Jiaxin Shi, Yanzhe Chen, Zhaoguo Wang, Binyu Zang, Haibing Guan

ACM Trans. Comput. Syst., 2017

Global synchronization in finite time for fractional-order neural networks with discontinuous activations and time delays.

Xiao Peng, Huaiqin Wu, Ka Song, Jiaxin Shi

Neural Networks, 2017

ZhuSuan: A Library for Bayesian Deep Learning.

Jiaxin Shi, Jianfei Chen, Jun Zhu, Shengyang Sun, Yucen Luo, Yihong Gu, Yuhao Zhou

CoRR, 2017

Implicit Variational Inference with Kernel Density Ratio Fitting.

Jiaxin Shi, Shengyang Sun, Jun Zhu

CoRR, 2017

On Modeling Sense Relatedness in Multi-prototype Word Embedding.

Yixin Cao, Jiaxin Shi, Juanzi Li, Zhiyuan Liu, Chengjiang Li

Proceedings of the Eighth International Joint Conference on Natural Language Processing, 2017

2016

Fast and Concurrent RDF Queries with RDMA-Based Distributed Graph Exploration.

Jiaxin Shi, Youyang Yao, Rong Chen, Haibo Chen, Feifei Li

Proceedings of the 12th USENIX Symposium on Operating Systems Design and Implementation, 2016

Fast and general distributed transactions using RDMA and HTM.

Yanzhe Chen, Xingda Wei, Jiaxin Shi, Rong Chen, Haibo Chen

Proceedings of the Eleventh European Conference on Computer Systems, 2016

2015

Bipartite-Oriented Distributed Graph Partitioning for Big Learning.

Rong Chen, Jiaxin Shi, Haibo Chen, Binyu Zang

J. Comput. Sci. Technol., 2015

Building Memory with Concept Learning Capabilities from Large-scale Knowledge Base.

Jiaxin Shi, Jun Zhu

CoRR, 2015

Fast in-memory transaction processing using RDMA and HTM.

Xingda Wei, Jiaxin Shi, Yanzhe Chen, Rong Chen, Haibo Chen

Proceedings of the 25th Symposium on Operating Systems Principles, 2015

Building Memory with Concept Learning Capabilities from Large-Scale Knowledge Bases.

Jiaxin Shi, Jun Zhu

Proceedings of the NIPS Workshop on Cognitive Computation: Integrating Neural and Symbolic Approaches co-located with the 29th Annual Conference on Neural Information Processing Systems (NIPS 2015), 2015

PowerLyra: differentiated graph computation and partitioning on skewed graphs.

Rong Chen, Jiaxin Shi, Yanzhe Chen, Haibo Chen

Proceedings of the Tenth European Conference on Computer Systems, 2015

2014

Bipartite-oriented distributed graph partitioning for big learning.

Rong Chen, Jiaxin Shi, Binyu Zang, Haibing Guan

Proceedings of the Asia-Pacific Workshop on Systems, 2014