Jiaxin Shi

ORCID

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 104

Top Venues

Publications

Jiaxin Shi, Kehang Han, Zhe Wang, Arnaud Doucet, Michalis K. Titsias
Simplified and Generalized Masked Diffusion for Discrete Data. CoRR (2024)
Jinxin Liu, Shulin Cao, Jiaxin Shi, Tingjian Zhang, Lei Hou, Juanzi Li
Probing Structured Semantics Understanding and Generation of Language Models via Question Answering. CoRR (2024)
Jinxin Liu, Shulin Cao, Jiaxin Shi, Tingjian Zhang, Lunyiu Nie, Linmei Hu, Lei Hou, Juanzi Li
How Proficient Are Large Language Models in Formal Languages? An In-Depth Insight for Knowledge Base Question Answering. ACL (Findings) (2024)
Yu Pan, Ye Yuan, Yichun Yin, Jiaxin Shi, Zenglin Xu, Ming Zhang, Lifeng Shang, Xin Jiang, Qun Liu
Preparing Lessons for Progressive Training on Language Models. AAAI (2024)
Ritam Dutt, Zhen Wu, Jiaxin Shi, Divyanshu Sheth, Prakhar Gupta, Carolyn P. Rosé
Leveraging Machine-Generated Rationales to Facilitate Social Meaning Detection in Conversations. ACL (1) (2024)
Wang Lin, Jingyuan Chen, Jiaxin Shi, Yichen Zhu, Chen Liang, Junzhong Miao, Tao Jin, Zhou Zhao, Fei Wu, Shuicheng Yan, Hanwang Zhang
Non-confusing Generation of Customized Concepts in Diffusion Models. CoRR (2024)
Chao Wang, Jiaxin Shi, Yang Yang, Rui Wang
Two Methods With Bidirectional Similarity for Optimal Selections of Supplier Portfolio and Supplier Substitute Based on TOPSIS and IFS. IEEE Access 12 (2024)
Boda Lin, Jiaxin Shi, Haolong Yan, Binghao Tang, Xiaocheng Gong, Si Li
TOP:A New Target-Audience Oriented Content Paraphrase Task. CoRR (2024)
Yixiu Zhao, Jiaxin Shi, Lester Mackey, Scott W. Linderman
Informed Correctors for Discrete Diffusion Models. CoRR (2024)
Yu Pan, Ye Yuan, Yichun Yin, Jiaxin Shi, Zenglin Xu, Ming Zhang, Lifeng Shang, Xin Jiang, Qun Liu
Preparing Lessons for Progressive Training on Language Models. CoRR (2024)
Xiaoyu Qiu, Yuechen Wang, Jiaxin Shi, Wengang Zhou, Houqiang Li
Cross-Lingual Transfer for Natural Language Inference via Multilingual Prompt Translator. CoRR (2024)
Kaifeng Gao, Jiaxin Shi, Hanwang Zhang, Chunping Wang, Jun Xiao
ViD-GPT: Introducing GPT-style Autoregressive Generation in Video Diffusion Models. CoRR (2024)
Wentao Zhu, Xiaoxuan Ma, Dongwoo Ro, Hai Ci, Jinlu Zhang, Jiaxin Shi, Feng Gao, Qi Tian, Yizhou Wang
Human Motion Generation: A Survey. IEEE Trans. Pattern Anal. Mach. Intell. 46 (4) (2024)
Shiyu Liu, Yucheng Sui, Zhongnan You, Jiaxin Shi, Ziyang Wang, Cheng Zhong
Reading better with AR or print picture books? A quasi-experiment on primary school students' reading comprehension, story retelling and reading motivation. Educ. Inf. Technol. 29 (9) (2024)
Weichao Zhao, Hezhen Hu, Wengang Zhou, Jiaxin Shi, Houqiang Li
BEST: BERT Pre-training for Sign Language Recognition with Coupling Tokenization. AAAI (2023)
Wentao Zhu, Xiaoxuan Ma, Dongwoo Ro, Hai Ci, Jinlu Zhang, Jiaxin Shi, Feng Gao, Qi Tian, Yizhou Wang
Human Motion Generation: A Survey. CoRR (2023)
Jiaxin Shi, Ke Alexander Wang, Emily B. Fox
Sequence Modeling with Multiresolution Convolutional Memory. CoRR (2023)
Jiaxin Shi, Ke Alexander Wang, Emily B. Fox
Sequence Modeling with Multiresolution Convolutional Memory. ICML (2023)
Shulin Cao, Jiajie Zhang, Jiaxin Shi, Xin Lv, Zijun Yao, Qi Tian, Juanzi Li, Lei Hou
Probabilistic Tree-of-thought Reasoning for Answering Knowledge-intensive Complex Questions. CoRR (2023)
Jiaxin Shi, Kaifeng Hao
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. HCI (41) (2023)
Jiaxin Shi, Lester Mackey
A Finite-Particle Convergence Rate for Stein Variational Gradient Descent. NeurIPS (2023)
Weichao Zhao, Hezhen Hu, Wengang Zhou, Jiaxin Shi, Houqiang Li
BEST: BERT Pre-Training for Sign Language Recognition with Coupling Tokenization. CoRR (2023)
Jiajie Zhang, Shulin Cao, Tingjian Zhang, Xin Lv, Juanzi Li, Lei Hou, Jiaxin Shi, Qi Tian
Reasoning over Hierarchical Question Decomposition Tree for Explainable Question Answering. ACL (1) (2023)
Jiajie Zhang, Shulin Cao, Tingjian Zhang, Xin Lv, Jiaxin Shi, Qi Tian, Juanzi Li, Lei Hou
Reasoning over Hierarchical Question Decomposition Tree for Explainable Question Answering. CoRR (2023)
Zongmeng Zhang, Wengang Zhou, Jiaxin Shi, Houqiang Li
Hybrid and Collaborative Passage Reranking. CoRR (2023)
Shulin Cao, Jiajie Zhang, Jiaxin Shi, Xin Lv, Zijun Yao, Qi Tian, Lei Hou, Juanzi Li
Probabilistic Tree-of-thought Reasoning for Answering Knowledge-intensive Complex Questions. EMNLP (Findings) (2023)
Ke Alexander Wang, Matthew E. Levine, Jiaxin Shi, Emily B. Fox
Learning Absorption Rates in Glucose-Insulin Dynamics from Meal Covariates. CoRR (2023)
Zongmeng Zhang, Wengang Zhou, Jiaxin Shi, Houqiang Li
Hybrid and Collaborative Passage Reranking. ACL (Findings) (2023)
Jiaxin Shi, Zilong Zhao, Tao Jiang, Hua Ai, Jiani Liu, Xinpu Chen, Yahong Luo, Huijie Fan, Xiran Jiang
A deep learning approach with subregion partition in MRI image analysis for metastatic brain tumor. Frontiers Neuroinformatics 16 (2022)
Jiaxin Shi, Yuhao Zhou, Jessica Hwang, Michalis K. Titsias, Lester Mackey
Gradient Estimation with Discrete Stein Operators. CoRR (2022)
Shulin Cao, Jiaxin Shi, Liangming Pan, Lunyiu Nie, Yutong Xiang, Lei Hou, Juanzi Li, Bin He, Hanwang Zhang
KQA Pro: A Dataset with Explicit Compositional Programs for Complex Question Answering over Knowledge Base. ACL (1) (2022)
Jiaxin Shi, Chang Liu, Lester Mackey
Sampling with Mirrored Stein Operators. ICLR (2022)
Zhijie Deng, Jiaxin Shi, Jun Zhu
NeuralEF: Deconstructing Kernels by Deep Neural Networks. CoRR (2022)
Feilong Chen, Xiuyi Chen, Jiaxin Shi, Duzhen Zhang, Jianlong Chang, Qi Tian
HiVLP: Hierarchical Vision-Language Pre-Training for Fast Image-Text Retrieval. CoRR (2022)
Lunyiu Nie, Shulin Cao, Jiaxin Shi, Jiuding Sun, Qi Tian, Lei Hou, Juanzi Li, Jidong Zhai
GraphQ IR: Unifying the Semantic Parsing of Graph Query Languages with One Intermediate Representation. EMNLP (2022)
Zhongwei Wan, Yichun Yin, Wei Zhang, Jiaxin Shi, Lifeng Shang, Guangyong Chen, Xin Jiang, Qun Liu
G-MAP: General Memory-Augmented Pre-trained Language Model for Domain Tasks. CoRR (2022)
Zhijie Deng, Jiaxin Shi, Jun Zhu
NeuralEF: Deconstructing Kernels by Deep Neural Networks. ICML (2022)
Lunyiu Nie, Shulin Cao, Jiaxin Shi, Qi Tian, Lei Hou, Juanzi Li, Jidong Zhai
GraphQ IR: Unifying Semantic Parsing of Graph Query Language with Intermediate Representation. CoRR (2022)
Boda Lin, Zijun Yao, Jiaxin Shi, Shulin Cao, Binghao Tang, Si Li, Yong Luo, Juanzi Li, Lei Hou
Dependency Parsing via Sequence Generation. EMNLP (Findings) (2022)
Zhijie Deng, Jiaxin Shi, Hao Zhang, Peng Cui, Cewu Lu, Jun Zhu
Neural Eigenfunctions Are Structured Representation Learners. CoRR (2022)
Zhongwei Wan, Yichun Yin, Wei Zhang, Jiaxin Shi, Lifeng Shang, Guangyong Chen, Xin Jiang, Qun Liu
G-MAP: General Memory-Augmented Pre-trained Language Model for Domain Tasks. EMNLP (2022)
Michalis K. Titsias, Jiaxin Shi
Double Control Variates for Gradient Estimation in Discrete Latent Variable Models. AISTATS (2022)
Jinxin Liu, Jiaxin Shi, Ji Qi, Lei Hou, Juanzi Li, Qi Tian
ParaMac: A General Unsupervised Paraphrase Generation Framework Leveraging Semantic Constraints and Diversifying Mechanisms. EMNLP (Findings) (2022)
Jiaxin Shi, Linpeng Cui, Hongbo Wang, Yue Dong, Tao Yu, Huazhe Yang, Xingling Wang, Guanyu Liu, Wenyan Jiang, Yahong Luo, Zhiguang Yang, Xiran Jiang
MRI-based intratumoral and peritumoral radiomics on prediction of lymph-vascular space invasion in cervical cancer: A multi-center study. Biomed. Signal Process. Control. 72 (Part) (2022)
Boda Lin, Zijun Yao, Jiaxin Shi, Shulin Cao, Binghao Tang, Si Li, Yong Luo, Juanzi Li, Lei Hou
Schema-Free Dependency Parsing via Sequence Generation. CoRR (2022)
Jiaxin Shi, Yuhao Zhou, Jessica Hwang, Michalis K. Titsias, Lester Mackey
Gradient Estimation with Discrete Stein Operators. NeurIPS (2022)
Shulin Cao, Jiaxin Shi, Zijun Yao, Xin Lv, Jifan Yu, Lei Hou, Juanzi Li, Zhiyuan Liu, Jinghui Xiao
Program Transfer for Answering Complex Questions over Knowledge Bases. ACL (1) (2022)
Jiaxin Shi, Lester Mackey
A Finite-Particle Convergence Rate for Stein Variational Gradient Descent. CoRR (2022)
Xin Lv, Jiaxin Shi, Shulin Cao, Lei Hou, Juanzi Li
Triple-as-Node Knowledge Graph and Its Embeddings. DASFAA (1) (2022)
Shengyang Sun, Jiaxin Shi, Andrew Gordon Wilson, Roger B. Grosse
Scalable Variational Gaussian Processes via Harmonic Kernel Decomposition. ICML (2021)
Shulin Cao, Jiaxin Shi, Zijun Yao, Lei Hou, Juanzi Li, Jinghui Xiao
Program Transfer and Ontology Awareness for Semantic Parsing in KBQA. CoRR (2021)
Fangwei Zhu, Shangqing Tu, Jiaxin Shi, Juanzi Li, Lei Hou, Tong Cui
TWAG: A Topic-Guided Wikipedia Abstract Generator. CoRR (2021)
Jiaxin Shi, Shulin Cao, Lei Hou, Juanzi Li, Hanwang Zhang
TransferNet: An Effective and Transparent Framework for Multi-hop Question Answering over Relation Graph. EMNLP (1) (2021)
Jiaxin Shi, Shulin Cao, Lei Hou, Juanzi Li, Hanwang Zhang
TransferNet: An Effective and Transparent Framework for Multi-hop Question Answering over Relation Graph. CoRR (2021)
Fangwei Zhu, Shangqing Tu, Jiaxin Shi, Juanzi Li, Lei Hou, Tong Cui
TWAG: A Topic-Guided Wikipedia Abstract Generator. ACL/IJCNLP (1) (2021)
Kaijie Shi, Jiaxin Shi, Yu Zhou, Lei Hou, Juanzi Li
Iterative Strict Density-Based Clustering for News Stream. CCIR (2021)
Michalis K. Titsias, Jiaxin Shi
Double Control Variates for Gradient Estimation in Discrete Latent Variable Models. CoRR (2021)
Shengyang Sun, Jiaxin Shi, Andrew Gordon Wilson, Roger B. Grosse
Scalable Variational Gaussian Processes via Harmonic Kernel Decomposition. CoRR (2021)
Jiaxin Shi, Chang Liu, Lester Mackey
Sampling with Mirrored Stein Operators. CoRR (2021)
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
Baidu Kunlun An AI processor for diversified workloads. Hot Chips Symposium (2020)
Jiaxin Shi, Shulin Cao, Liangming Pan, Yutong Xiang, Lei Hou, Juanzi Li, Hanwang Zhang, Bin He
KQA Pro: A Large Diagnostic Dataset for Complex Question Answering over Knowledge Base. CoRR (2020)
Kaihua Tang, Yulei Niu, Jianqiang Huang, Jiaxin Shi, Hanwang Zhang
Unbiased Scene Graph Generation From Biased Training. CVPR (2020)
Ye Tian, Jiaxin Shi, Hong Yue, Xiaoliu Rong
Calibrating nested sensor arrays for DOA estimation utilizing continuous multiplication operator. Signal Process. 176 (2020)
Yuhao Zhou, Jiaxin Shi, Jun Zhu
Nonparametric Score Estimators. ICML (2020)
Yuanyuan Liu, Xiang Li, Jiaxin Shi, Lei Zhang, Juanzi Li
Named Entity Recognition Using a Semi-supervised Model Based on BERT and Bootstrapping. CCKS (2020)
Yuhao Zhou, Jiaxin Shi, Jun Zhu
Nonparametric Score Estimators. CoRR (2020)
Jiaxin Shi, Michalis K. Titsias, Andriy Mnih
Sparse Orthogonal Variational Inference for Gaussian Processes. AISTATS (2020)
Kaihua Tang, Yulei Niu, Jianqiang Huang, Jiaxin Shi, Hanwang Zhang
Unbiased Scene Graph Generation from Biased Training. CoRR (2020)
Jiaxin Shi, Mohammad Emtiyaz Khan, Jun Zhu
Scalable Training of Inference Networks for Gaussian-Process Models. CoRR (2019)
Jiaxin Shi, Chen Liang, Lei Hou, Juanzi Li, Zhiyuan Liu, Hanwang Zhang
DeepChannel: Salience Estimation by Contrastive Learning for Extractive Document Summarization. AAAI (2019)
Jiaxin Shi, Lei Hou, Juanzi Li, Zhiyuan Liu, Hanwang Zhang
Learning to Embed Sentences Using Attentive Recursive Trees. AAAI (2019)
Yang Song, Sahaj Garg, Jiaxin Shi, Stefano Ermon
Sliced Score Matching: A Scalable Approach to Density and Score Estimation. UAI (2019)
Jiaxin Shi, Mohammad Emtiyaz Khan, Jun Zhu
Scalable Training of Inference Networks for Gaussian-Process Models. ICML (2019)
Xinru Zhang, Huifang Xu, Yixin Cao, Yuanpeng Tan, Lei Hou, Juanzi Li, Jiaxin Shi
DSEL: A Domain-Specific Entity Linking System. JIST (2019)
Chengjiang Li, Yixin Cao, Lei Hou, Jiaxin Shi, Juanzi Li, Tat-Seng Chua
Semi-supervised Entity Alignment via Joint Knowledge Embedding Model and Cross-graph Model. EMNLP/IJCNLP (1) (2019)
Shengyang Sun, Guodong Zhang, Jiaxin Shi, Roger B. Grosse
Functional variational Bayesian Neural Networks. ICLR (Poster) (2019)
Ye Tian, Jiaxin Shi, Yanru Wang, Qiusheng Lian
Non-coherent direction of arrival estimation utilizing linear model approximation. Signal Process. 157 (2019)
Fangwei Zhu, Zhengguo Wang, Juanzi Li, Lei Hou, Jiaxin Shi, Shining Lv, Ran Shen, Junjun Jiang
Event-Oriented Wiki Document Generation. JIST (2019)
Jiaxin Shi, Michalis K. Titsias, Andriy Mnih
Sparse Orthogonal Variational Inference for Gaussian Processes. CoRR (2019)
Jiaxin Shi, Hanwang Zhang, Juanzi Li
Explainable and Explicit Visual Reasoning Over Scene Graphs. CVPR (2019)
Shengyang Sun, Guodong Zhang, Jiaxin Shi, Roger B. Grosse
Functional Variational Bayesian Neural Networks. CoRR (2019)
Yang Song, Sahaj Garg, Jiaxin Shi, Stefano Ermon
Sliced Score Matching: A Scalable Approach to Density and Score Estimation. CoRR (2019)
Jiaxin Shi, Hanwang Zhang, Juanzi Li
Explainable and Explicit Visual Reasoning over Scene Graphs. CoRR (2018)
Rong Chen, Jiaxin Shi, Yanzhe Chen, Binyu Zang, Haibing Guan, Haibo Chen
PowerLyra: Differentiated Graph Computation and Partitioning on Skewed Graphs. ACM Trans. Parallel Comput. 5 (3) (2018)
Jiaxin Shi, Shengyang Sun, Jun Zhu
Kernel Implicit Variational Inference. ICLR (Poster) (2018)
Jiaxin Shi, Lei Hou, Juanzi Li, Zhiyuan Liu, Hanwang Zhang
Learning to Embed Sentences Using Attentive Recursive Trees. CoRR (2018)
Jiaxin Shi, Shengyang Sun, Jun Zhu
A Spectral Approach to Gradient Estimation for Implicit Distributions. ICML (2018)
Yucen Luo, Tian Tian, Jiaxin Shi, Jun Zhu, Bo Zhang
Semi-crowdsourced Clustering with Deep Generative Models. CoRR (2018)
Mengchen Liu, Jiaxin Shi, Kelei Cao, Jun Zhu, Shixia Liu
Analyzing the Training Processes of Deep Generative Models. IEEE Trans. Vis. Comput. Graph. 24 (1) (2018)
Jiaxin Shi, Chen Liang, Lei Hou, Juanzi Li, Zhiyuan Liu, Hanwang Zhang
DeepChannel: Salience Estimation by Contrastive Learning for Extractive Document Summarization. CoRR (2018)
Xiao Peng, Huaiqin Wu, Ka Song, Jiaxin Shi
Non-fragile chaotic synchronization for discontinuous neural networks with time-varying delays and random feedback gain uncertainties. Neurocomputing 273 (2018)
Yucen Luo, Tian Tian, Jiaxin Shi, Jun Zhu, Bo Zhang
Semi-crowdsourced Clustering with Deep Generative Models. NeurIPS (2018)
Jiaxin Shi, Shengyang Sun, Jun Zhu
A Spectral Approach to Gradient Estimation for Implicit Distributions. CoRR (2018)
Jingwei Zhuo, Chang Liu, Jiaxin Shi, Jun Zhu, Ning Chen, Bo Zhang
Message Passing Stein Variational Gradient Descent. ICML (2018)
Fang-Lue Zhang, Jue Wang, Eli Shechtman, Zi-Ye Zhou, Jiaxin Shi, Shi-Min Hu
PlenoPatch: Patch-Based Plenoptic Image Manipulation. IEEE Trans. Vis. Comput. Graph. 23 (5) (2017)
Jiaxin Shi, Jianfei Chen, Jun Zhu, Shengyang Sun, Yucen Luo, Yihong Gu, Yuhao Zhou
ZhuSuan: A Library for Bayesian Deep Learning. CoRR (2017)
Yixin Cao, Jiaxin Shi, Juanzi Li, Zhiyuan Liu, Chengjiang Li
On Modeling Sense Relatedness in Multi-prototype Word Embedding. IJCNLP(1) (2017)
Haibo Chen, Rong Chen, Xingda Wei, Jiaxin Shi, Yanzhe Chen, Zhaoguo Wang, Binyu Zang, Haibing Guan
Fast In-Memory Transaction Processing Using RDMA and HTM. ACM Trans. Comput. Syst. 35 (1) (2017)
Xiao Peng, Huaiqin Wu, Ka Song, Jiaxin Shi
Global synchronization in finite time for fractional-order neural networks with discontinuous activations and time delays. Neural Networks 94 (2017)
Mengchen Liu, Jiaxin Shi, Zhen Li, Chongxuan Li, Jun Zhu, Shixia Liu
Towards Better Analysis of Deep Convolutional Neural Networks. IEEE Trans. Vis. Comput. Graph. 23 (1) (2017)

Jiaxin Shi.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Jiaxin Shi