Jiaxin Shi

143 papers A* 27A 6B 2Journal 80Unranked 28
YearRankTypeTitle / Venue / Authors
2026 J jnl
A latent factor model for high-dimensional binary data.
J. Multivar. Anal.
Jiaxin Shi, Yuan Gao, Rui Pan, Hansheng Wang
2026 J jnl
Neural Eigenfunctions are Structured Representation Learners.
IEEE Trans. Pattern Anal. Mach. Intell.
Zhijie Deng, Jiaxin Shi, Hao Zhang, Peng Cui, Cewu Lu, Jun Zhu
2025 J jnl
AMTCC-PARAFAC: A convergent tensor framework for DOD-DOA-Doppler estimation in bistatic MIMO radar under impulsive noise.
Phys. Commun.
Li Li, Jiaxin Shi, Tianshuang Qiu, Mingyan He
2025 J jnl
CANDI: Hybrid Discrete-Continuous Diffusion Models.
CoRR
Patrick Pynadath, Jiaxin Shi, Ruqi Zhang
2025 A* conf
Ca2-VDM: Efficient Autoregressive Video Diffusion Model with Causal Generation and Cache Sharing.
ICML
Kaifeng Gao, Jiaxin Shi, Hanwang Zhang, Chunping Wang, Jun Xiao, Long Chen
2025 A* conf
Chain of Semantics Programming in 3D Gaussian Splatting Representation for 3D Vision Grounding.
CVPR
Jiaxin Shi, Mingyue Xiang, Hao Sun, Yixuan Huang, Zhi Weng
2025 J jnl
CoMo: Compositional Motion Customization for Text-to-Video Generation.
CoRR
Youcan Xu, Zhen Wang, Jiaxin Shi, Kexin Li, Feifei Shao, Jun Xiao, Yi Yang, Jun Yu, Long Chen
2025 J jnl
DPUSwap: building an infinite swap with DPU for cloud computing system.
J. Supercomput.
Shiqiang Nie, Yang Guo, Jianqiang Ma, Yaoyao Li, Jiaxin Shi, Weiguo Wu
2025 J jnl
Demystifying Diffusion Objectives: Reweighted Losses are Better Variational Bounds.
CoRR
Jiaxin Shi, Michalis K. Titsias
2025 J jnl
Evaluating In Silico Creativity: An Expert Review of AI Chess Compositions.
CoRR
Vivek Veeriah, Federico Barbero, Marcus Chiam, Xidong Feng, Michael Dennis, Ryan Pachauri, Thomas Tumiel, Johan Obando-Ceron, Jiaxin Shi, Shaobo Hou, Satinder Singh, Nenad Tomasev, Tom Zahavy
2025 J jnl
Generating Creative Chess Puzzles.
CoRR
Xidong Feng, Vivek Veeriah, Marcus Chiam, Michael Dennis, Ryan Pachauri, Thomas Tumiel, Federico Barbero, Johan Obando-Ceron, Jiaxin Shi, Satinder Singh, Shaobo Hou, Nenad Tomasev, Tom Zahavy
2025 J jnl
Generative Augmented Reality: Paradigms, Technologies, and Future Applications.
CoRR
Chen Liang, Jiawen Zheng, Yufeng Zeng, Yi Tan, Hengye Lyu, Yuhui Zheng, Zisu Li, Yueting Weng, Jiaxin Shi, Hanwang Zhang
2025 B conf
Incremental Transformer: Efficient Encoder for Incremented Text Over MRC and Conversation Tasks.
COLING
Weisheng Li, Yuechen Wang, Jiaxin Shi, Wengang Zhou, Qi Tian, Houqiang Li
2025 J jnl
LLM Bazaar: A Service Design for Supporting Collaborative Learning with an LLM-Powered Multi-Party Collaboration Infrastructure.
CoRR
Zhen Wu, Jiaxin Shi, R. Charles Murray, Carolyn P. Rosé, Micah San Andres
2025 A* conf
Learning-Order Autoregressive Models with Application to Molecular Graph Generation.
ICML
Zhe Wang, Jiaxin Shi, Nicolas Heess, Arthur Gretton, Michalis K. Titsias
2025 J jnl
Learning-Order Autoregressive Models with Application to Molecular Graph Generation.
CoRR
Zhe Wang, Jiaxin Shi, Nicolas Heess, Arthur Gretton, Michalis K. Titsias
2025 — conf
PMPO: A Self-Optimizing Framework for Creating High-Fidelity Measurement Tools for Social Bias in Large Language Models.
IJCNLP-AACL (long papers)
Zeqiang Wang, Yuqi Wang, Xinyue Wu, Chenxi Li, Yiran Liu, Linghan Ge, Zhan Yu, Jiaxin Shi, Suparna De
2025 — conf
Re-TASK: Revisiting LLM Tasks from Capability, Skill, and Knowledge Perspectives.
ACL (Findings)
Zhihu Wang, Shiwan Zhao, Yu Wang, Heyuan Huang, Sitao Xie, Yubo Zhang, Jiaxin Shi, Zhixing Wang, Hongyan Li, Junchi Yan
2025 J jnl
Real-Time Motion-Controllable Autoregressive Video Diffusion.
CoRR
Kesen Zhao, Jiaxin Shi, Beier Zhu, Junbao Zhou, Xiaolong Shen, Yuan Zhou, Qianru Sun, Hanwang Zhang
2025 J jnl
Self-Speculative Masked Diffusions.
CoRR
Andrew Campbell, Valentin De Bortoli, Jiaxin Shi, Arnaud Doucet
2025 B conf
Slide-CLIP: A Simple and Effective Pruning Method for CLIP.
IJCNN
Jiaxin Shi, Xin Luo, S. Kevin Zhou
2025 J jnl
SpriteHand: Real-Time Versatile Hand-Object Interaction with Autoregressive Video Generation.
CoRR
Zisu Li, Hengye Lyu, Jiaxin Shi, Yufeng Zeng, Mingming Fan, Hanwang Zhang, Chen Liang
2025 J jnl
Test-time regression: a unifying framework for designing sequence models with associative memory.
CoRR
Ke Alexander Wang, Jiaxin Shi, Emily B. Fox
2024 A* conf
Action Imitation in Common Action Space for Customized Action Image Synthesis.
NeurIPS
Wang Lin, Jingyuan Chen, Jiaxin Shi, Zirun Guo, Yichen Zhu, Zehan Wang, Tao Jin, Zhou Zhao, Fei Wu, Shuicheng Yan, Hanwang Zhang
2024 — conf
CACFD: Channel Attention for Computational Fluid Dynamics Stimulation.
AIoTC
Hao Sun, Jiaxin Shi
2024 J jnl
Ca2-VDM: Efficient Autoregressive Video Diffusion Model with Causal Generation and Cache Sharing.
CoRR
Kaifeng Gao, Jiaxin Shi, Hanwang Zhang, Chunping Wang, Jun Xiao, Long Chen
2024 J jnl
Corrections to "Two Methods With Bidirectional Similarity for Optimal Selections of Supplier Portfolio and Supplier Substitute Based on TOPSIS and IFS".
IEEE Access
Chao Wang, Jiaxin Shi, Yang Yang, Rui Wang
2024 A conf
Cross-Lingual Transfer for Natural Language Inference via Multilingual Prompt Translator.
ICME
Xiaoyu Qiu, Yuechen Wang, Jiaxin Shi, Wengang Zhou, Houqiang Li
2024 J jnl
Cross-Lingual Transfer for Natural Language Inference via Multilingual Prompt Translator.
CoRR
Xiaoyu Qiu, Yuechen Wang, Jiaxin Shi, Wengang Zhou, Houqiang Li
2024 — conf
Enhancing Immersion in Virtual Reality: Cost-Efficient Spatial Audio Generation for Panoramic Videos.
VR Workshops
Jiaxin Shi, Qi Wu, Di Zhang, Long Ye
2024 — conf
How Proficient Are Large Language Models in Formal Languages? An In-Depth Insight for Knowledge Base Question Answering.
ACL (Findings)
Jinxin Liu, Shulin Cao, Jiaxin Shi, Tingjian Zhang, Lunyiu Nie, Linmei Hu, Lei Hou, Juanzi Li
2024 J jnl
Human Motion Generation: A Survey.
IEEE Trans. Pattern Anal. Mach. Intell.
Wentao Zhu, Xiaoxuan Ma, Dongwoo Ro, Hai Ci, Jinlu Zhang, Jiaxin Shi, Feng Gao, Qi Tian, Yizhou Wang
2024 J jnl
Informed Correctors for Discrete Diffusion Models.
CoRR
Yixiu Zhao, Jiaxin Shi, Lester Mackey, Scott W. Linderman
2024 — conf
Leveraging Machine-Generated Rationales to Facilitate Social Meaning Detection in Conversations.
ACL (1)
Ritam Dutt, Zhen Wu, Jiaxin Shi, Divyanshu Sheth, Prakhar Gupta, Carolyn P. Rosé
2024 J jnl
LoRA of Change: Learning to Generate LoRA for the Editing Instruction from A Single Before-After Image Pair.
CoRR
Xue Song, Jiequan Cui, Hanwang Zhang, Jiaxin Shi, Jingjing Chen, Chi Zhang, Yu-Gang Jiang
2024 A* conf
Non-confusing Generation of Customized Concepts in Diffusion Models.
ICML
Wang Lin, Jingyuan Chen, Jiaxin Shi, Yichen Zhu, Chen Liang, Junzhong Miao, Tao Jin, Zhou Zhao, Fei Wu, Shuicheng Yan, Hanwang Zhang
2024 J jnl
Non-confusing Generation of Customized Concepts in Diffusion Models.
CoRR
Wang Lin, Jingyuan Chen, Jiaxin Shi, Yichen Zhu, Chen Liang, Junzhong Miao, Tao Jin, Zhou Zhao, Fei Wu, Shuicheng Yan, Hanwang Zhang
2024 A* conf
Preparing Lessons for Progressive Training on Language Models.
AAAI
Yu Pan, Ye Yuan, Yichun Yin, Jiaxin Shi, Zenglin Xu, Ming Zhang, Lifeng Shang, Xin Jiang, Qun Liu
2024 J jnl
Preparing Lessons for Progressive Training on Language Models.
CoRR
Yu Pan, Ye Yuan, Yichun Yin, Jiaxin Shi, Zenglin Xu, Ming Zhang, Lifeng Shang, Xin Jiang, Qun Liu
2024 J jnl
Probing Structured Semantics Understanding and Generation of Language Models via Question Answering.
CoRR
Jinxin Liu, Shulin Cao, Jiaxin Shi, Tingjian Zhang, Lei Hou, Juanzi Li
2024 J jnl
Re-TASK: Revisiting LLM Tasks from Capability, Skill, and Knowledge Perspectives.
CoRR
Zhihu Wang, Shiwan Zhao, Yu Wang, Heyuan Huang, Jiaxin Shi, Sitao Xie, Zhixing Wang, Yubo Zhang, Hongyan Li, Junchi Yan
2024 J jnl
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.
Shiyu Liu, Yucheng Sui, Zhongnan You, Jiaxin Shi, Ziyang Wang, Cheng Zhong
2024 A* conf
Simplified and Generalized Masked Diffusion for Discrete Data.
NeurIPS
Jiaxin Shi, Kehang Han, Zhe Wang, Arnaud Doucet, Michalis K. Titsias
2024 J jnl
Simplified and Generalized Masked Diffusion for Discrete Data.
CoRR
Jiaxin Shi, Kehang Han, Zhe Wang, Arnaud Doucet, Michalis K. Titsias
2024 J jnl
TOP:A New Target-Audience Oriented Content Paraphrase Task.
CoRR
Boda Lin, Jiaxin Shi, Haolong Yan, Binghao Tang, Xiaocheng Gong, Si Li
2024 J jnl
Two Methods With Bidirectional Similarity for Optimal Selections of Supplier Portfolio and Supplier Substitute Based on TOPSIS and IFS.
IEEE Access
Chao Wang, Jiaxin Shi, Yang Yang, Rui Wang
2024 J jnl
ViD-GPT: Introducing GPT-style Autoregressive Generation in Video Diffusion Models.
CoRR
Kaifeng Gao, Jiaxin Shi, Hanwang Zhang, Chunping Wang, Jun Xiao
2023 A* conf
A Finite-Particle Convergence Rate for Stein Variational Gradient Descent.
NeurIPS
Jiaxin Shi, Lester Mackey
2023 J jnl
BEST: BERT Pre-Training for Sign Language Recognition with Coupling Tokenization.
CoRR
Weichao Zhao, Hezhen Hu, Wengang Zhou, Jiaxin Shi, Houqiang Li
2023 A* conf
BEST: BERT Pre-training for Sign Language Recognition with Coupling Tokenization.
AAAI
Weichao Zhao, Hezhen Hu, Wengang Zhou, Jiaxin Shi, Houqiang Li
2023 J jnl
Human Motion Generation: A Survey.
CoRR
Wentao Zhu, Xiaoxuan Ma, Dongwoo Ro, Hai Ci, Jinlu Zhang, Jiaxin Shi, Feng Gao, Qi Tian, Yizhou Wang
2023 — conf
Hybrid and Collaborative Passage Reranking.
ACL (Findings)
Zongmeng Zhang, Wengang Zhou, Jiaxin Shi, Houqiang Li
2023 J jnl
Hybrid and Collaborative Passage Reranking.
CoRR
Zongmeng Zhang, Wengang Zhou, Jiaxin Shi, Houqiang Li
2023 J jnl
Learning Absorption Rates in Glucose-Insulin Dynamics from Meal Covariates.
CoRR
Ke Alexander Wang, Matthew E. Levine, Jiaxin Shi, Emily B. Fox
2023 — conf
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)
Jiaxin Shi, Kaifeng Hao
2023 — conf
Probabilistic Tree-of-thought Reasoning for Answering Knowledge-intensive Complex Questions.
EMNLP (Findings)
Shulin Cao, Jiajie Zhang, Jiaxin Shi, Xin Lv, Zijun Yao, Qi Tian, Lei Hou, Juanzi Li
2023 J jnl
Probabilistic Tree-of-thought Reasoning for Answering Knowledge-intensive Complex Questions.
CoRR
Shulin Cao, Jiajie Zhang, Jiaxin Shi, Xin Lv, Zijun Yao, Qi Tian, Juanzi Li, Lei Hou
2023 — conf
Reasoning over Hierarchical Question Decomposition Tree for Explainable Question Answering.
ACL (1)
Jiajie Zhang, Shulin Cao, Tingjian Zhang, Xin Lv, Juanzi Li, Lei Hou, Jiaxin Shi, Qi Tian
2023 J jnl
Reasoning over Hierarchical Question Decomposition Tree for Explainable Question Answering.
CoRR
Jiajie Zhang, Shulin Cao, Tingjian Zhang, Xin Lv, Jiaxin Shi, Qi Tian, Juanzi Li, Lei Hou
2023 A* conf
Sequence Modeling with Multiresolution Convolutional Memory.
ICML
Jiaxin Shi, Ke Alexander Wang, Emily B. Fox
2023 J jnl
Sequence Modeling with Multiresolution Convolutional Memory.
CoRR
Jiaxin Shi, Ke Alexander Wang, Emily B. Fox
2022 J jnl
A Finite-Particle Convergence Rate for Stein Variational Gradient Descent.
CoRR
Jiaxin Shi, Lester Mackey
2022 J jnl
A deep learning approach with subregion partition in MRI image analysis for metastatic brain tumor.
Frontiers Neuroinformatics
Jiaxin Shi, Zilong Zhao, Tao Jiang, Hua Ai, Jiani Liu, Xinpu Chen, Yahong Luo, Huijie Fan, Xiran Jiang
2022 — conf
Dependency Parsing via Sequence Generation.
EMNLP (Findings)
Boda Lin, Zijun Yao, Jiaxin Shi, Shulin Cao, Binghao Tang, Si Li, Yong Luo, Juanzi Li, Lei Hou
2022 A conf
Double Control Variates for Gradient Estimation in Discrete Latent Variable Models.
AISTATS
Michalis K. Titsias, Jiaxin Shi
2022 A* conf
G-MAP: General Memory-Augmented Pre-trained Language Model for Domain Tasks.
EMNLP
Zhongwei Wan, Yichun Yin, Wei Zhang, Jiaxin Shi, Lifeng Shang, Guangyong Chen, Xin Jiang, Qun Liu
2022 J jnl
G-MAP: General Memory-Augmented Pre-trained Language Model for Domain Tasks.
CoRR
Zhongwei Wan, Yichun Yin, Wei Zhang, Jiaxin Shi, Lifeng Shang, Guangyong Chen, Xin Jiang, Qun Liu
2022 A* conf
Gradient Estimation with Discrete Stein Operators.
NeurIPS
Jiaxin Shi, Yuhao Zhou, Jessica Hwang, Michalis K. Titsias, Lester Mackey
2022 J jnl
Gradient Estimation with Discrete Stein Operators.
CoRR
Jiaxin Shi, Yuhao Zhou, Jessica Hwang, Michalis K. Titsias, Lester Mackey
2022 J jnl
GraphQ IR: Unifying Semantic Parsing of Graph Query Language with Intermediate Representation.
CoRR
Lunyiu Nie, Shulin Cao, Jiaxin Shi, Qi Tian, Lei Hou, Juanzi Li, Jidong Zhai
2022 A* conf
GraphQ IR: Unifying the Semantic Parsing of Graph Query Languages with One Intermediate Representation.
EMNLP
Lunyiu Nie, Shulin Cao, Jiaxin Shi, Jiuding Sun, Qi Tian, Lei Hou, Juanzi Li, Jidong Zhai
2022 J jnl
HiVLP: Hierarchical Vision-Language Pre-Training for Fast Image-Text Retrieval.
CoRR
Feilong Chen, Xiuyi Chen, Jiaxin Shi, Duzhen Zhang, Jianlong Chang, Qi Tian
2022 — conf
KQA Pro: A Dataset with Explicit Compositional Programs for Complex Question Answering over Knowledge Base.
ACL (1)
Shulin Cao, Jiaxin Shi, Liangming Pan, Lunyiu Nie, Yutong Xiang, Lei Hou, Juanzi Li, Bin He, Hanwang Zhang
2022 J jnl
MRI-based intratumoral and peritumoral radiomics on prediction of lymph-vascular space invasion in cervical cancer: A multi-center study.
Biomed. Signal Process. Control.
Jiaxin Shi, Linpeng Cui, Hongbo Wang, Yue Dong, Tao Yu, Huazhe Yang, Xingling Wang, Guanyu Liu, Wenyan Jiang, Yahong Luo, Zhiguang Yang, Xiran Jiang
2022 J jnl
Neural Eigenfunctions Are Structured Representation Learners.
CoRR
Zhijie Deng, Jiaxin Shi, Hao Zhang, Peng Cui, Cewu Lu, Jun Zhu
2022 A* conf
NeuralEF: Deconstructing Kernels by Deep Neural Networks.
ICML
Zhijie Deng, Jiaxin Shi, Jun Zhu
2022 J jnl
NeuralEF: Deconstructing Kernels by Deep Neural Networks.
CoRR
Zhijie Deng, Jiaxin Shi, Jun Zhu
2022 — conf
ParaMac: A General Unsupervised Paraphrase Generation Framework Leveraging Semantic Constraints and Diversifying Mechanisms.
EMNLP (Findings)
Jinxin Liu, Jiaxin Shi, Ji Qi, Lei Hou, Juanzi Li, Qi Tian
2022 — conf
Program Transfer for Answering Complex Questions over Knowledge Bases.
ACL (1)
Shulin Cao, Jiaxin Shi, Zijun Yao, Xin Lv, Jifan Yu, Lei Hou, Juanzi Li, Zhiyuan Liu, Jinghui Xiao
2022 A* conf
Sampling with Mirrored Stein Operators.
ICLR
Jiaxin Shi, Chang Liu, Lester Mackey
2022 J jnl
Schema-Free Dependency Parsing via Sequence Generation.
CoRR
Boda Lin, Zijun Yao, Jiaxin Shi, Shulin Cao, Binghao Tang, Si Li, Yong Luo, Juanzi Li, Lei Hou
2022 — conf
Triple-as-Node Knowledge Graph and Its Embeddings.
DASFAA (1)
Xin Lv, Jiaxin Shi, Shulin Cao, Lei Hou, Juanzi Li
2021 J jnl
Double Control Variates for Gradient Estimation in Discrete Latent Variable Models.
CoRR
Michalis K. Titsias, Jiaxin Shi
2021 — conf
Iterative Strict Density-Based Clustering for News Stream.
CCIR
Kaijie Shi, Jiaxin Shi, Yu Zhou, Lei Hou, Juanzi Li
2021 J jnl
Program Transfer and Ontology Awareness for Semantic Parsing in KBQA.
CoRR
Shulin Cao, Jiaxin Shi, Zijun Yao, Lei Hou, Juanzi Li, Jinghui Xiao
2021 J jnl
Sampling with Mirrored Stein Operators.
CoRR
Jiaxin Shi, Chang Liu, Lester Mackey
2021 A* conf
Scalable Variational Gaussian Processes via Harmonic Kernel Decomposition.
ICML
Shengyang Sun, Jiaxin Shi, Andrew Gordon Wilson, Roger B. Grosse
2021 J jnl
Scalable Variational Gaussian Processes via Harmonic Kernel Decomposition.
CoRR
Shengyang Sun, Jiaxin Shi, Andrew Gordon Wilson, Roger B. Grosse
2021 — conf
TWAG: A Topic-Guided Wikipedia Abstract Generator.
ACL/IJCNLP (1)
Fangwei Zhu, Shangqing Tu, Jiaxin Shi, Juanzi Li, Lei Hou, Tong Cui
2021 J jnl
TWAG: A Topic-Guided Wikipedia Abstract Generator.
CoRR
Fangwei Zhu, Shangqing Tu, Jiaxin Shi, Juanzi Li, Lei Hou, Tong Cui
2021 — conf
TransferNet: An Effective and Transparent Framework for Multi-hop Question Answering over Relation Graph.
EMNLP (1)
Jiaxin Shi, Shulin Cao, Lei Hou, Juanzi Li, Hanwang Zhang
2021 J jnl
TransferNet: An Effective and Transparent Framework for Multi-hop Question Answering over Relation Graph.
CoRR
Jiaxin Shi, Shulin Cao, Lei Hou, Juanzi Li, Hanwang Zhang
2020 — conf
Baidu Kunlun An AI processor for diversified workloads.
Hot Chips Symposium
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
2020 J jnl
Calibrating nested sensor arrays for DOA estimation utilizing continuous multiplication operator.
Signal Process.
Ye Tian, Jiaxin Shi, Hong Yue, Xiaoliu Rong
2020 J jnl
KQA Pro: A Large Diagnostic Dataset for Complex Question Answering over Knowledge Base.
CoRR
Jiaxin Shi, Shulin Cao, Liangming Pan, Yutong Xiang, Lei Hou, Juanzi Li, Hanwang Zhang, Bin He
2020 — conf
Named Entity Recognition Using a Semi-supervised Model Based on BERT and Bootstrapping.
CCKS
Yuanyuan Liu, Xiang Li, Jiaxin Shi, Lei Zhang, Juanzi Li
2020 A* conf
Nonparametric Score Estimators.
ICML
Yuhao Zhou, Jiaxin Shi, Jun Zhu
2020 J jnl
Nonparametric Score Estimators.
CoRR
Yuhao Zhou, Jiaxin Shi, Jun Zhu
2020 A conf
Sparse Orthogonal Variational Inference for Gaussian Processes.
AISTATS
Jiaxin Shi, Michalis K. Titsias, Andriy Mnih
2020 A* conf
Unbiased Scene Graph Generation From Biased Training.
CVPR
Kaihua Tang, Yulei Niu, Jianqiang Huang, Jiaxin Shi, Hanwang Zhang
2020 J jnl
Unbiased Scene Graph Generation from Biased Training.
CoRR
Kaihua Tang, Yulei Niu, Jianqiang Huang, Jiaxin Shi, Hanwang Zhang
2019 — conf
DSEL: A Domain-Specific Entity Linking System.
JIST
Xinru Zhang, Huifang Xu, Yixin Cao, Yuanpeng Tan, Lei Hou, Juanzi Li, Jiaxin Shi
2019 A* conf
DeepChannel: Salience Estimation by Contrastive Learning for Extractive Document Summarization.
AAAI
Jiaxin Shi, Chen Liang, Lei Hou, Juanzi Li, Zhiyuan Liu, Hanwang Zhang
2019 — conf
Event-Oriented Wiki Document Generation.
JIST
Fangwei Zhu, Zhengguo Wang, Juanzi Li, Lei Hou, Jiaxin Shi, Shining Lv, Ran Shen, Junjun Jiang
2019 A* conf
Explainable and Explicit Visual Reasoning Over Scene Graphs.
CVPR
Jiaxin Shi, Hanwang Zhang, Juanzi Li
2019 J jnl
Functional Variational Bayesian Neural Networks.
CoRR
Shengyang Sun, Guodong Zhang, Jiaxin Shi, Roger B. Grosse
2019 — conf
Functional variational Bayesian Neural Networks.
ICLR (Poster)
Shengyang Sun, Guodong Zhang, Jiaxin Shi, Roger B. Grosse
2019 A* conf
Learning to Embed Sentences Using Attentive Recursive Trees.
AAAI
Jiaxin Shi, Lei Hou, Juanzi Li, Zhiyuan Liu, Hanwang Zhang
2019 J jnl
Non-coherent direction of arrival estimation utilizing linear model approximation.
Signal Process.
Ye Tian, Jiaxin Shi, Yanru Wang, Qiusheng Lian
2019 A* conf
Scalable Training of Inference Networks for Gaussian-Process Models.
ICML
Jiaxin Shi, Mohammad Emtiyaz Khan, Jun Zhu
2019 J jnl
Scalable Training of Inference Networks for Gaussian-Process Models.
CoRR
Jiaxin Shi, Mohammad Emtiyaz Khan, Jun Zhu
2019 — conf
Semi-supervised Entity Alignment via Joint Knowledge Embedding Model and Cross-graph Model.
EMNLP/IJCNLP (1)
Chengjiang Li, Yixin Cao, Lei Hou, Jiaxin Shi, Juanzi Li, Tat-Seng Chua
2019 A conf
Sliced Score Matching: A Scalable Approach to Density and Score Estimation.
UAI
Yang Song, Sahaj Garg, Jiaxin Shi, Stefano Ermon
2019 J jnl
Sliced Score Matching: A Scalable Approach to Density and Score Estimation.
CoRR
Yang Song, Sahaj Garg, Jiaxin Shi, Stefano Ermon
2019 J jnl
Sparse Orthogonal Variational Inference for Gaussian Processes.
CoRR
Jiaxin Shi, Michalis K. Titsias, Andriy Mnih
2018 A* conf
A Spectral Approach to Gradient Estimation for Implicit Distributions.
ICML
Jiaxin Shi, Shengyang Sun, Jun Zhu
2018 J jnl
A Spectral Approach to Gradient Estimation for Implicit Distributions.
CoRR
Jiaxin Shi, Shengyang Sun, Jun Zhu
2018 J jnl
Analyzing the Training Processes of Deep Generative Models.
IEEE Trans. Vis. Comput. Graph.
Mengchen Liu, Jiaxin Shi, Kelei Cao, Jun Zhu, Shixia Liu
2018 J jnl
DeepChannel: Salience Estimation by Contrastive Learning for Extractive Document Summarization.
CoRR
Jiaxin Shi, Chen Liang, Lei Hou, Juanzi Li, Zhiyuan Liu, Hanwang Zhang
2018 J jnl
Explainable and Explicit Visual Reasoning over Scene Graphs.
CoRR
Jiaxin Shi, Hanwang Zhang, Juanzi Li
2018 — conf
Kernel Implicit Variational Inference.
ICLR (Poster)
Jiaxin Shi, Shengyang Sun, Jun Zhu
2018 J jnl
Learning to Embed Sentences Using Attentive Recursive Trees.
CoRR
Jiaxin Shi, Lei Hou, Juanzi Li, Zhiyuan Liu, Hanwang Zhang
2018 A* conf
Message Passing Stein Variational Gradient Descent.
ICML
Jingwei Zhuo, Chang Liu, Jiaxin Shi, Jun Zhu, Ning Chen, Bo Zhang
2018 J jnl
Non-fragile chaotic synchronization for discontinuous neural networks with time-varying delays and random feedback gain uncertainties.
Neurocomputing
Xiao Peng, Huaiqin Wu, Ka Song, Jiaxin Shi
2018 J jnl
PowerLyra: Differentiated Graph Computation and Partitioning on Skewed Graphs.
ACM Trans. Parallel Comput.
Rong Chen, Jiaxin Shi, Yanzhe Chen, Binyu Zang, Haibing Guan, Haibo Chen
2018 A* conf
Semi-crowdsourced Clustering with Deep Generative Models.
NeurIPS
Yucen Luo, Tian Tian, Jiaxin Shi, Jun Zhu, Bo Zhang
2018 J jnl
Semi-crowdsourced Clustering with Deep Generative Models.
CoRR
Yucen Luo, Tian Tian, Jiaxin Shi, Jun Zhu, Bo Zhang
2017 J jnl
Fast In-Memory Transaction Processing Using RDMA and HTM.
ACM Trans. Comput. Syst.
Haibo Chen, Rong Chen, Xingda Wei, Jiaxin Shi, Yanzhe Chen, Zhaoguo Wang, Binyu Zang, Haibing Guan
2017 J jnl
Global synchronization in finite time for fractional-order neural networks with discontinuous activations and time delays.
Neural Networks
Xiao Peng, Huaiqin Wu, Ka Song, Jiaxin Shi
2017 J jnl
Implicit Variational Inference with Kernel Density Ratio Fitting.
CoRR
Jiaxin Shi, Shengyang Sun, Jun Zhu
2017 — conf
On Modeling Sense Relatedness in Multi-prototype Word Embedding.
IJCNLP(1)
Yixin Cao, Jiaxin Shi, Juanzi Li, Zhiyuan Liu, Chengjiang Li
2017 J jnl
PlenoPatch: Patch-Based Plenoptic Image Manipulation.
IEEE Trans. Vis. Comput. Graph.
Fang-Lue Zhang, Jue Wang, Eli Shechtman, Zi-Ye Zhou, Jiaxin Shi, Shi-Min Hu
2017 J jnl
Towards Better Analysis of Deep Convolutional Neural Networks.
IEEE Trans. Vis. Comput. Graph.
Mengchen Liu, Jiaxin Shi, Zhen Li, Chongxuan Li, Jun Zhu, Shixia Liu
2017 J jnl
ZhuSuan: A Library for Bayesian Deep Learning.
CoRR
Jiaxin Shi, Jianfei Chen, Jun Zhu, Shengyang Sun, Yucen Luo, Yihong Gu, Yuhao Zhou
2016 A* conf
Fast and Concurrent RDF Queries with RDMA-Based Distributed Graph Exploration.
OSDI
Jiaxin Shi, Youyang Yao, Rong Chen, Haibo Chen, Feifei Li
2016 A conf
Fast and general distributed transactions using RDMA and HTM.
EuroSys
Yanzhe Chen, Xingda Wei, Jiaxin Shi, Rong Chen, Haibo Chen
2016 J jnl
Towards Better Analysis of Deep Convolutional Neural Networks.
CoRR
Mengchen Liu, Jiaxin Shi, Zhen Li, Chongxuan Li, Jun Zhu, Shixia Liu
2015 J jnl
Bipartite-Oriented Distributed Graph Partitioning for Big Learning.
J. Comput. Sci. Technol.
Rong Chen, Jiaxin Shi, Haibo Chen, Binyu Zang
2015 — conf
Building Memory with Concept Learning Capabilities from Large-Scale Knowledge Bases.
CoCo@NIPS
Jiaxin Shi, Jun Zhu
2015 J jnl
Building Memory with Concept Learning Capabilities from Large-scale Knowledge Base.
CoRR
Jiaxin Shi, Jun Zhu
2015 A* conf
Fast in-memory transaction processing using RDMA and HTM.
SOSP
Xingda Wei, Jiaxin Shi, Yanzhe Chen, Rong Chen, Haibo Chen
2015 A conf
PowerLyra: differentiated graph computation and partitioning on skewed graphs.
EuroSys
Rong Chen, Jiaxin Shi, Yanzhe Chen, Haibo Chen
2014 — conf
Bipartite-oriented distributed graph partitioning for big learning.
APSys
Rong Chen, Jiaxin Shi, Binyu Zang, Haibing Guan