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2020 – today
- 2024
[j15]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: 1761-1773 (2024)- [j14]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): 11625-11644 (2024) - [j13]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): 2430-2449 (2024) - [c52]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: 18860-18868 - [c51]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: 792-815 - [c50]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: 6901-6929 - [c49]Xiaoyu Qiu, Yuechen Wang, Jiaxin Shi, Wengang Zhou, Houqiang Li:
Cross-Lingual Transfer for Natural Language Inference via Multilingual Prompt Translator. ICME 2024: 1-6 - [c48]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. ICML 2024 - [i46]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 abs/2401.05777 (2024) - [i45]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 abs/2401.09192 (2024) - [i44]Xiaoyu Qiu, Yuechen Wang, Jiaxin Shi, Wengang Zhou, Houqiang Li:
Cross-Lingual Transfer for Natural Language Inference via Multilingual Prompt Translator. CoRR abs/2403.12407 (2024) - [i43]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 abs/2405.06914 (2024) - [i42]Jiaxin Shi, Kehang Han, Zhe Wang, Arnaud Doucet, Michalis K. Titsias:
Simplified and Generalized Masked Diffusion for Discrete Data. CoRR abs/2406.04329 (2024) - [i41]Kaifeng Gao, Jiaxin Shi, Hanwang Zhang, Chunping Wang, Jun Xiao:
ViD-GPT: Introducing GPT-style Autoregressive Generation in Video Diffusion Models. CoRR abs/2406.10981 (2024) - [i40]Boda Lin, Jiaxin Shi, Haolong Yan, Binghao Tang, Xiaocheng Gong, Si Li:
TOP:A New Target-Audience Oriented Content Paraphrase Task. CoRR abs/2407.09992 (2024) - [i39]Yixiu Zhao, Jiaxin Shi, Lester Mackey, Scott W. Linderman:
Informed Correctors for Discrete Diffusion Models. CoRR abs/2407.21243 (2024) - [i38]Zhihu Wang, Shiwan Zhao, Yu Wang, Heyuan Huang, Jiaxin Shi, Sitao Xie, Zhixing Wang, Yubo Zhang, Hongyan Li, Junchi Yan:
Re-TASK: Revisiting LLM Tasks from Capability, Skill, and Knowledge Perspectives. CoRR abs/2408.06904 (2024) - 2023
- [c47]Weichao Zhao, Hezhen Hu, Wengang Zhou, Jiaxin Shi, Houqiang Li:
BEST: BERT Pre-training for Sign Language Recognition with Coupling Tokenization. AAAI 2023: 3597-3605 - [c46]Zongmeng Zhang, Wengang Zhou, Jiaxin Shi, Houqiang Li:
Hybrid and Collaborative Passage Reranking. ACL (Findings) 2023: 14003-14021 - [c45]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: 14556-14570 - [c44]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: 12541-12560 - [c43]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: 593-606 - [c42]Jiaxin Shi, Ke Alexander Wang, Emily B. Fox:
Sequence Modeling with Multiresolution Convolutional Memory. ICML 2023: 31312-31327 - [c41]Jiaxin Shi, Lester Mackey:
A Finite-Particle Convergence Rate for Stein Variational Gradient Descent. NeurIPS 2023 - [i37]Weichao Zhao, Hezhen Hu, Wengang Zhou, Jiaxin Shi, Houqiang Li:
BEST: BERT Pre-Training for Sign Language Recognition with Coupling Tokenization. CoRR abs/2302.05075 (2023) - [i36]Ke Alexander Wang, Matthew E. Levine, Jiaxin Shi, Emily B. Fox:
Learning Absorption Rates in Glucose-Insulin Dynamics from Meal Covariates. CoRR abs/2304.14300 (2023) - [i35]Jiaxin Shi, Ke Alexander Wang, Emily B. Fox:
Sequence Modeling with Multiresolution Convolutional Memory. CoRR abs/2305.01638 (2023) - [i34]Zongmeng Zhang, Wengang Zhou, Jiaxin Shi, Houqiang Li:
Hybrid and Collaborative Passage Reranking. CoRR abs/2305.09313 (2023) - [i33]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 abs/2305.15056 (2023) - [i32]Wentao Zhu, Xiaoxuan Ma, Dongwoo Ro, Hai Ci, Jinlu Zhang, Jiaxin Shi, Feng Gao, Qi Tian, Yizhou Wang:
Human Motion Generation: A Survey. CoRR abs/2307.10894 (2023) - [i31]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 abs/2311.13982 (2023) - 2022
- [j12]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): 103373 (2022) - [j11]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) - [c40]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: 6101-6119 - [c39]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: 8128-8140 - [c38]Michalis K. Titsias, Jiaxin Shi:
Double Control Variates for Gradient Estimation in Discrete Latent Variable Models. AISTATS 2022: 6134-6151 - [c37]Xin Lv, Jiaxin Shi, Shulin Cao, Lei Hou, Juanzi Li:
Triple-as-Node Knowledge Graph and Its Embeddings. DASFAA (1) 2022: 107-121 - [c36]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: 5848-5865 - [c35]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: 6193-6206 - [c34]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: 6585-6597 - [c33]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: 7339-7353 - [c32]Jiaxin Shi, Chang Liu, Lester Mackey:
Sampling with Mirrored Stein Operators. ICLR 2022 - [c31]Zhijie Deng, Jiaxin Shi, Jun Zhu:
NeuralEF: Deconstructing Kernels by Deep Neural Networks. ICML 2022: 4976-4992 - [c30]Jiaxin Shi, Yuhao Zhou, Jessica Hwang, Michalis K. Titsias, Lester Mackey:
Gradient Estimation with Discrete Stein Operators. NeurIPS 2022 - [i30]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 abs/2201.12407 (2022) - [i29]Jiaxin Shi, Yuhao Zhou, Jessica Hwang, Michalis K. Titsias, Lester Mackey:
Gradient Estimation with Discrete Stein Operators. CoRR abs/2202.09497 (2022) - [i28]Zhijie Deng, Jiaxin Shi, Jun Zhu:
NeuralEF: Deconstructing Kernels by Deep Neural Networks. CoRR abs/2205.00165 (2022) - [i27]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 abs/2205.12078 (2022) - [i26]Feilong Chen, Xiuyi Chen, Jiaxin Shi, Duzhen Zhang, Jianlong Chang, Qi Tian:
HiVLP: Hierarchical Vision-Language Pre-Training for Fast Image-Text Retrieval. CoRR abs/2205.12105 (2022) - [i25]Zhijie Deng, Jiaxin Shi, Hao Zhang, Peng Cui, Cewu Lu, Jun Zhu:
Neural Eigenfunctions Are Structured Representation Learners. CoRR abs/2210.12637 (2022) - [i24]Jiaxin Shi, Lester Mackey:
A Finite-Particle Convergence Rate for Stein Variational Gradient Descent. CoRR abs/2211.09721 (2022) - [i23]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 abs/2212.03613 (2022) - 2021
- [c29]Fangwei Zhu, Shangqing Tu, Jiaxin Shi, Juanzi Li, Lei Hou, Tong Cui:
TWAG: A Topic-Guided Wikipedia Abstract Generator. ACL/IJCNLP (1) 2021: 4623-4635 - [c28]Kaijie Shi, Jiaxin Shi, Yu Zhou, Lei Hou, Juanzi Li:
Iterative Strict Density-Based Clustering for News Stream. CCIR 2021: 88-99 - [c27]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: 4149-4158 - [c26]Shengyang Sun, Jiaxin Shi, Andrew Gordon Wilson, Roger B. Grosse:
Scalable Variational Gaussian Processes via Harmonic Kernel Decomposition. ICML 2021: 9955-9965 - [i22]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 abs/2104.07302 (2021) - [i21]Shengyang Sun, Jiaxin Shi, Andrew Gordon Wilson, Roger B. Grosse:
Scalable Variational Gaussian Processes via Harmonic Kernel Decomposition. CoRR abs/2106.05992 (2021) - [i20]Jiaxin Shi, Chang Liu, Lester Mackey:
Sampling with Mirrored Stein Operators. CoRR abs/2106.12506 (2021) - [i19]Fangwei Zhu, Shangqing Tu, Jiaxin Shi, Juanzi Li, Lei Hou, Tong Cui:
TWAG: A Topic-Guided Wikipedia Abstract Generator. CoRR abs/2106.15135 (2021) - [i18]Shulin Cao, Jiaxin Shi, Zijun Yao, Lei Hou, Juanzi Li, Jinghui Xiao:
Program Transfer and Ontology Awareness for Semantic Parsing in KBQA. CoRR abs/2110.05743 (2021) - [i17]Michalis K. Titsias, Jiaxin Shi:
Double Control Variates for Gradient Estimation in Discrete Latent Variable Models. CoRR abs/2111.05300 (2021) - 2020
- [j10]Ye Tian, Jiaxin Shi, Hong Yue, Xiaoliu Rong:
Calibrating nested sensor arrays for DOA estimation utilizing continuous multiplication operator. Signal Process. 176: 107674 (2020) - [c25]Jiaxin Shi, Michalis K. Titsias, Andriy Mnih:
Sparse Orthogonal Variational Inference for Gaussian Processes. AISTATS 2020: 1932-1942 - [c24]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: 54-63 - [c23]Kaihua Tang, Yulei Niu, Jianqiang Huang, Jiaxin Shi, Hanwang Zhang:
Unbiased Scene Graph Generation From Biased Training. CVPR 2020: 3713-3722 - [c22]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: 1-18 - [c21]Yuhao Zhou, Jiaxin Shi, Jun Zhu:
Nonparametric Score Estimators. ICML 2020: 11513-11522 - [i16]Kaihua Tang, Yulei Niu, Jianqiang Huang, Jiaxin Shi, Hanwang Zhang:
Unbiased Scene Graph Generation from Biased Training. CoRR abs/2002.11949 (2020) - [i15]Yuhao Zhou, Jiaxin Shi, Jun Zhu:
Nonparametric Score Estimators. CoRR abs/2005.10099 (2020) - [i14]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 abs/2007.03875 (2020)
2010 – 2019
- 2019
- [j9]Ye Tian, Jiaxin Shi, Yanru Wang, Qiusheng Lian:
Non-coherent direction of arrival estimation utilizing linear model approximation. Signal Process. 157: 261-265 (2019) - [c20]Jiaxin Shi, Lei Hou, Juanzi Li, Zhiyuan Liu, Hanwang Zhang:
Learning to Embed Sentences Using Attentive Recursive Trees. AAAI 2019: 6991-6998 - [c19]Jiaxin Shi, Chen Liang, Lei Hou, Juanzi Li, Zhiyuan Liu, Hanwang Zhang:
DeepChannel: Salience Estimation by Contrastive Learning for Extractive Document Summarization. AAAI 2019: 6999-7006 - [c18]Jiaxin Shi, Hanwang Zhang, Juanzi Li:
Explainable and Explicit Visual Reasoning Over Scene Graphs. CVPR 2019: 8376-8384 - [c17]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: 2723-2732 - [c16]Shengyang Sun, Guodong Zhang, Jiaxin Shi, Roger B. Grosse:
Functional variational Bayesian Neural Networks. ICLR (Poster) 2019 - [c15]Jiaxin Shi, Mohammad Emtiyaz Khan, Jun Zhu:
Scalable Training of Inference Networks for Gaussian-Process Models. ICML 2019: 5758-5768 - [c14]Fangwei Zhu, Zhengguo Wang, Juanzi Li, Lei Hou, Jiaxin Shi, Shining Lv, Ran Shen, Junjun Jiang:
Event-Oriented Wiki Document Generation. JIST 2019: 50-66 - [c13]Xinru Zhang, Huifang Xu, Yixin Cao, Yuanpeng Tan, Lei Hou, Juanzi Li, Jiaxin Shi:
DSEL: A Domain-Specific Entity Linking System. JIST 2019: 146-161 - [c12]Yang Song, Sahaj Garg, Jiaxin Shi, Stefano Ermon:
Sliced Score Matching: A Scalable Approach to Density and Score Estimation. UAI 2019: 574-584 - [i13]Shengyang Sun, Guodong Zhang, Jiaxin Shi, Roger B. Grosse:
Functional Variational Bayesian Neural Networks. CoRR abs/1903.05779 (2019) - [i12]Yang Song, Sahaj Garg, Jiaxin Shi, Stefano Ermon:
Sliced Score Matching: A Scalable Approach to Density and Score Estimation. CoRR abs/1905.07088 (2019) - [i11]Jiaxin Shi, Mohammad Emtiyaz Khan, Jun Zhu:
Scalable Training of Inference Networks for Gaussian-Process Models. CoRR abs/1905.10969 (2019) - [i10]Jiaxin Shi, Michalis K. Titsias, Andriy Mnih:
Sparse Orthogonal Variational Inference for Gaussian Processes. CoRR abs/1910.10596 (2019) - 2018
- [j8]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: 89-100 (2018) - [j7]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): 13:1-13:39 (2018) - [j6]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): 77-87 (2018) - [c11]Jiaxin Shi, Shengyang Sun, Jun Zhu:
Kernel Implicit Variational Inference. ICLR (Poster) 2018 - [c10]Jiaxin Shi, Shengyang Sun, Jun Zhu:
A Spectral Approach to Gradient Estimation for Implicit Distributions. ICML 2018: 4651-4660 - [c9]Jingwei Zhuo, Chang Liu, Jiaxin Shi, Jun Zhu, Ning Chen, Bo Zhang:
Message Passing Stein Variational Gradient Descent. ICML 2018: 6013-6022 - [c8]Yucen Luo, Tian Tian, Jiaxin Shi, Jun Zhu, Bo Zhang:
Semi-crowdsourced Clustering with Deep Generative Models. NeurIPS 2018: 3216-3226 - [i9]Jiaxin Shi, Shengyang Sun, Jun Zhu:
A Spectral Approach to Gradient Estimation for Implicit Distributions. CoRR abs/1806.02925 (2018) - [i8]Yucen Luo, Tian Tian, Jiaxin Shi, Jun Zhu, Bo Zhang:
Semi-crowdsourced Clustering with Deep Generative Models. CoRR abs/1810.11971 (2018) - [i7]Jiaxin Shi, Lei Hou, Juanzi Li, Zhiyuan Liu, Hanwang Zhang:
Learning to Embed Sentences Using Attentive Recursive Trees. CoRR abs/1811.02338 (2018) - [i6]Jiaxin Shi, Chen Liang, Lei Hou, Juanzi Li, Zhiyuan Liu, Hanwang Zhang:
DeepChannel: Salience Estimation by Contrastive Learning for Extractive Document Summarization. CoRR abs/1811.02394 (2018) - [i5]Jiaxin Shi, Hanwang Zhang, Juanzi Li:
Explainable and Explicit Visual Reasoning over Scene Graphs. CoRR abs/1812.01855 (2018) - 2017
- [j5]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: 46-54 (2017) - [j4]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): 3:1-3:37 (2017) - [j3]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): 91-100 (2017) - [j2]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): 1561-1573 (2017) - [c7]Yixin Cao, Jiaxin Shi, Juanzi Li, Zhiyuan Liu, Chengjiang Li:
On Modeling Sense Relatedness in Multi-prototype Word Embedding. IJCNLP(1) 2017: 233-242 - [i4]Jiaxin Shi, Shengyang Sun, Jun Zhu:
Implicit Variational Inference with Kernel Density Ratio Fitting. CoRR abs/1705.10119 (2017) - [i3]Jiaxin Shi, Jianfei Chen, Jun Zhu, Shengyang Sun, Yucen Luo, Yihong Gu, Yuhao Zhou:
ZhuSuan: A Library for Bayesian Deep Learning. CoRR abs/1709.05870 (2017) - 2016
- [c6]Yanzhe Chen, Xingda Wei, Jiaxin Shi, Rong Chen, Haibo Chen:
Fast and general distributed transactions using RDMA and HTM. EuroSys 2016: 26:1-26:17 - [c5]Jiaxin Shi, Youyang Yao, Rong Chen, Haibo Chen, Feifei Li:
Fast and Concurrent RDF Queries with RDMA-Based Distributed Graph Exploration. OSDI 2016: 317-332 - [i2]Mengchen Liu, Jiaxin Shi, Zhen Li, Chongxuan Li, Jun Zhu, Shixia Liu:
Towards Better Analysis of Deep Convolutional Neural Networks. CoRR abs/1604.07043 (2016) - 2015
- [j1]Rong Chen, Jiaxin Shi, Haibo Chen, Binyu Zang:
Bipartite-Oriented Distributed Graph Partitioning for Big Learning. J. Comput. Sci. Technol. 30(1): 20-29 (2015) - [c4]Rong Chen, Jiaxin Shi, Yanzhe Chen, Haibo Chen:
PowerLyra: differentiated graph computation and partitioning on skewed graphs. EuroSys 2015: 1:1-1:15 - [c3]Jiaxin Shi, Jun Zhu:
Building Memory with Concept Learning Capabilities from Large-Scale Knowledge Bases. CoCo@NIPS 2015 - [c2]Xingda Wei, Jiaxin Shi, Yanzhe Chen, Rong Chen, Haibo Chen:
Fast in-memory transaction processing using RDMA and HTM. SOSP 2015: 87-104 - [i1]Jiaxin Shi, Jun Zhu:
Building Memory with Concept Learning Capabilities from Large-scale Knowledge Base. CoRR abs/1512.01173 (2015) - 2014
- [c1]Rong Chen, Jiaxin Shi, Binyu Zang, Haibing Guan:
Bipartite-oriented distributed graph partitioning for big learning. APSys 2014: 14:1-14:7
Coauthor Index
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