Bipartite-oriented distributed graph partitioning for big learning. - Rong Chen 001; Jiaxin Shi; Binyu Zang; Haibing Guan (APSys, 2014)

PowerLyra: differentiated graph computation and partitioning on skewed graphs. - Rong Chen 001; Jiaxin Shi; Yanzhe Chen; Haibo Chen 001 (EuroSys, 2015)

Building Memory with Concept Learning Capabilities from Large-Scale Knowledge Bases. - Jiaxin Shi; Jun Zhu 001 (CoCo@NIPS, 2015)

Fast in-memory transaction processing using RDMA and HTM. - Xingda Wei; Jiaxin Shi; Yanzhe Chen; Rong Chen 001; Haibo Chen 001 (SOSP, 2015)

Building Memory with Concept Learning Capabilities from Large-scale Knowledge Base. - Jiaxin Shi; Jun Zhu 001 (CoRR, 2015)

Bipartite-Oriented Distributed Graph Partitioning for Big Learning. - Rong Chen 001; Jiaxin Shi; Haibo Chen 001; Binyu Zang (J. Comput. Sci. Technol., 2015)

Fast and general distributed transactions using RDMA and HTM. - Yanzhe Chen; Xingda Wei; Jiaxin Shi; Rong Chen 001; Haibo Chen 001 (EuroSys, 2016)

Fast and Concurrent RDF Queries with RDMA-Based Distributed Graph Exploration. - Jiaxin Shi; Youyang Yao; Rong Chen 001; Haibo Chen 001; Feifei Li 001 (OSDI, 2016)

On Modeling Sense Relatedness in Multi-prototype Word Embedding. - Yixin Cao 002; Jiaxin Shi; Juanzi Li; Zhiyuan Liu 001; Chengjiang Li (IJCNLP(1), 2017)

Implicit Variational Inference with Kernel Density Ratio Fitting. - Jiaxin Shi; Shengyang Sun; Jun Zhu 001 (CoRR, 2017)

ZhuSuan: A Library for Bayesian Deep Learning. - Jiaxin Shi; Jianfei Chen 001; Jun Zhu 001; Shengyang Sun; Yucen Luo; Yihong Gu; Yuhao Zhou (CoRR, 2017)

Global synchronization in finite time for fractional-order neural networks with discontinuous activations and time delays. - Xiao Peng 003; Huaiqin Wu; Ka Song; Jiaxin Shi (Neural Networks, 2017)

Fast In-Memory Transaction Processing Using RDMA and HTM. - Haibo Chen 001; Rong Chen 001; Xingda Wei; Jiaxin Shi; Yanzhe Chen; Zhaoguo Wang; Binyu Zang; Haibing Guan (ACM Trans. Comput. Syst., 2017)

Towards Better Analysis of Deep Convolutional Neural Networks. - Mengchen Liu; Jiaxin Shi; Zhen Li 044; Chongxuan Li; Jun Zhu 001; Shixia Liu (IEEE Trans. Vis. Comput. Graph., 2017)

PlenoPatch: Patch-Based Plenoptic Image Manipulation. - Fang-Lue Zhang; Jue Wang 001; Eli Shechtman; Zi-Ye Zhou; Jiaxin Shi; Shi-Min Hu 001 (IEEE Trans. Vis. Comput. Graph., 2017)

Kernel Implicit Variational Inference. - Jiaxin Shi; Shengyang Sun; Jun Zhu 001 (ICLR (Poster), 2018)

A Spectral Approach to Gradient Estimation for Implicit Distributions. - Jiaxin Shi; Shengyang Sun; Jun Zhu 001 (ICML, 2018)

Message Passing Stein Variational Gradient Descent. - Jingwei Zhuo; Chang Liu 030; Jiaxin Shi; Jun Zhu 001; Ning Chen 002; Bo Zhang 010 (ICML, 2018)

Semi-crowdsourced Clustering with Deep Generative Models. - Yucen Luo; Tian Tian 001; Jiaxin Shi; Jun Zhu 001; Bo Zhang 010 (NeurIPS, 2018)

Non-fragile chaotic synchronization for discontinuous neural networks with time-varying delays and random feedback gain uncertainties. - Xiao Peng 003; Huaiqin Wu; Ka Song; Jiaxin Shi (Neurocomputing, 2018)

PowerLyra: Differentiated Graph Computation and Partitioning on Skewed Graphs. - Rong Chen 001; Jiaxin Shi; Yanzhe Chen; Binyu Zang; Haibing Guan; Haibo Chen 001 (ACM Trans. Parallel Comput., 2018)

Analyzing the Training Processes of Deep Generative Models. - Mengchen Liu; Jiaxin Shi; Kelei Cao; Jun Zhu 001; Shixia Liu (IEEE Trans. Vis. Comput. Graph., 2018)

Learning to Embed Sentences Using Attentive Recursive Trees. - Jiaxin Shi; Lei Hou 001; Juanzi Li; Zhiyuan Liu 001; Hanwang Zhang (AAAI, 2019)

DeepChannel: Salience Estimation by Contrastive Learning for Extractive Document Summarization. - Jiaxin Shi; Chen Liang; Lei Hou 001; Juanzi Li; Zhiyuan Liu 001; Hanwang Zhang (AAAI, 2019)

Explainable and Explicit Visual Reasoning Over Scene Graphs. - Jiaxin Shi; Hanwang Zhang; Juanzi Li (CVPR, 2019)

Semi-supervised Entity Alignment via Joint Knowledge Embedding Model and Cross-graph Model. - Chengjiang Li; Yixin Cao 002; Lei Hou 001; Jiaxin Shi; Juanzi Li; Tat-Seng Chua (EMNLP/IJCNLP (1), 2019)

Functional variational Bayesian Neural Networks. - Shengyang Sun; Guodong Zhang 006; Jiaxin Shi; Roger B. Grosse (ICLR (Poster), 2019)

Scalable Training of Inference Networks for Gaussian-Process Models. - Jiaxin Shi; Mohammad Emtiyaz Khan; Jun Zhu 001 (ICML, 2019)

DSEL: A Domain-Specific Entity Linking System. - Xinru Zhang; Huifang Xu; Yixin Cao 002; Yuanpeng Tan; Lei Hou 001; Juanzi Li; Jiaxin Shi (JIST, 2019)

Event-Oriented Wiki Document Generation. - Fangwei Zhu; Zhengguo Wang; Juanzi Li; Lei Hou 001; Jiaxin Shi; Shining Lv; Ran Shen; Junjun Jiang (JIST, 2019)

Sliced Score Matching: A Scalable Approach to Density and Score Estimation. - Yang Song 011; Sahaj Garg; Jiaxin Shi; Stefano Ermon (UAI, 2019)

Non-coherent direction of arrival estimation utilizing linear model approximation. - Ye Tian 014; Jiaxin Shi; Yanru Wang; Qiusheng Lian (Signal Process., 2019)

Sparse Orthogonal Variational Inference for Gaussian Processes. - Jiaxin Shi; Michalis K. Titsias; Andriy Mnih (AISTATS, 2020)

Named Entity Recognition Using a Semi-supervised Model Based on BERT and Bootstrapping. - Yuanyuan Liu; Xiang Li; Jiaxin Shi; Lei Zhang 174; Juanzi Li (CCKS, 2020)

Unbiased Scene Graph Generation From Biased Training. - Kaihua Tang; Yulei Niu; Jianqiang Huang; Jiaxin Shi; Hanwang Zhang (CVPR, 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; et al. (Hot Chips Symposium, 2020)

Nonparametric Score Estimators. - Yuhao Zhou; Jiaxin Shi; Jun Zhu 001 (ICML, 2020)

KQA Pro: A Large Diagnostic Dataset for Complex Question Answering over Knowledge Base. - Jiaxin Shi; Shulin Cao; Liangming Pan; Yutong Xiang; Lei Hou 001; Juanzi Li; Hanwang Zhang; Bin He (CoRR, 2020)

Calibrating nested sensor arrays for DOA estimation utilizing continuous multiplication operator. - Ye Tian 014; Jiaxin Shi; Hong Yue; Xiaoliu Rong (Signal Process., 2020)

TWAG: A Topic-Guided Wikipedia Abstract Generator. - Fangwei Zhu; Shangqing Tu; Jiaxin Shi; Juanzi Li; Lei Hou 001; Tong Cui (ACL/IJCNLP (1), 2021)

Iterative Strict Density-Based Clustering for News Stream. - Kaijie Shi 001; Jiaxin Shi; Yu Zhou 030; Lei Hou 001; Juanzi Li (CCIR, 2021)

TransferNet: An Effective and Transparent Framework for Multi-hop Question Answering over Relation Graph. - Jiaxin Shi; Shulin Cao; Lei Hou 001; Juanzi Li; Hanwang Zhang (EMNLP (1), 2021)

Scalable Variational Gaussian Processes via Harmonic Kernel Decomposition. - Shengyang Sun; Jiaxin Shi; Andrew Gordon Wilson; Roger B. Grosse (ICML, 2021)

Program Transfer and Ontology Awareness for Semantic Parsing in KBQA. - Shulin Cao; Jiaxin Shi; Zijun Yao 002; Lei Hou 001; Juanzi Li; Jinghui Xiao (CoRR, 2021)

Program Transfer for Answering Complex Questions over Knowledge Bases. - Shulin Cao; Jiaxin Shi; Zijun Yao 002; Xin Lv; Jifan Yu; Lei Hou 001; Juanzi Li; Zhiyuan Liu 001; Jinghui Xiao (ACL (1), 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 001; Juanzi Li; Bin He; Hanwang Zhang (ACL (1), 2022)

Double Control Variates for Gradient Estimation in Discrete Latent Variable Models. - Michalis K. Titsias; Jiaxin Shi (AISTATS, 2022)

Triple-as-Node Knowledge Graph and Its Embeddings. - Xin Lv; Jiaxin Shi; Shulin Cao; Lei Hou 001; Juanzi Li (DASFAA (1), 2022)

Dependency Parsing via Sequence Generation. - Boda Lin; Zijun Yao 002; Jiaxin Shi; Shulin Cao; Binghao Tang; Si Li 001; Yong Luo; Juanzi Li; Lei Hou 001 (EMNLP (Findings), 2022)

ParaMac: A General Unsupervised Paraphrase Generation Framework Leveraging Semantic Constraints and Diversifying Mechanisms. - Jinxin Liu 002; Jiaxin Shi; Ji Qi 003; Lei Hou 001; Juanzi Li; Qi Tian (EMNLP (Findings), 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 001; Juanzi Li; Jidong Zhai (EMNLP, 2022)

G-MAP: General Memory-Augmented Pre-trained Language Model for Domain Tasks. - Zhongwei Wan; Yichun Yin; Wei Zhang 196; Jiaxin Shi; Lifeng Shang; Guangyong Chen; Xin Jiang 002; Qun Liu 001 (EMNLP, 2022)

Sampling with Mirrored Stein Operators. - Jiaxin Shi; Chang Liu 030; Lester Mackey (ICLR, 2022)

NeuralEF: Deconstructing Kernels by Deep Neural Networks. - Zhijie Deng; Jiaxin Shi; Jun Zhu 001 (ICML, 2022)

Gradient Estimation with Discrete Stein Operators. - Jiaxin Shi; Yuhao Zhou; Jessica Hwang; Michalis K. Titsias; Lester Mackey (NeurIPS, 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)

Schema-Free Dependency Parsing via Sequence Generation. - Boda Lin; Zijun Yao 002; Jiaxin Shi; Shulin Cao; Binghao Tang; Si Li 001; Yong Luo; Juanzi Li; Lei Hou 001 (CoRR, 2022)

GraphQ IR: Unifying Semantic Parsing of Graph Query Language with Intermediate Representation. - Lunyiu Nie; Shulin Cao; Jiaxin Shi; Qi Tian; Lei Hou 001; Juanzi Li; Jidong Zhai (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 001 (CoRR, 2022)

Neural Eigenfunctions Are Structured Representation Learners. - Zhijie Deng; Jiaxin Shi; Hao Zhang; Peng Cui 007; Cewu Lu; Jun Zhu 001 (CoRR, 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 008; Xinpu Chen; Yahong Luo; Huijie Fan; Xiran Jiang (Frontiers Neuroinformatics, 2022)

BEST: BERT Pre-training for Sign Language Recognition with Coupling Tokenization. - Weichao Zhao; Hezhen Hu; Wengang Zhou 001; Jiaxin Shi; Houqiang Li (AAAI, 2023)

Reasoning over Hierarchical Question Decomposition Tree for Explainable Question Answering. - Jiajie Zhang; Shulin Cao; Tingjian Zhang; Xin Lv; Juanzi Li; Lei Hou 001; Jiaxin Shi; Qi Tian (ACL (1), 2023)

Hybrid and Collaborative Passage Reranking. - Zongmeng Zhang; Wengang Zhou 001; Jiaxin Shi; Houqiang Li (ACL (Findings), 2023)

Probabilistic Tree-of-thought Reasoning for Answering Knowledge-intensive Complex Questions. - Shulin Cao; Jiajie Zhang; Jiaxin Shi; Xin Lv; Zijun Yao 002; Qi Tian; Lei Hou 001; Juanzi Li (EMNLP (Findings), 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 (HCI (41), 2023)

Sequence Modeling with Multiresolution Convolutional Memory. - Jiaxin Shi; Ke Alexander Wang; Emily B. Fox (ICML, 2023)

A Finite-Particle Convergence Rate for Stein Variational Gradient Descent. - Jiaxin Shi; Lester Mackey (NeurIPS, 2023)

Learning Absorption Rates in Glucose-Insulin Dynamics from Meal Covariates. - Ke Alexander Wang; Matthew E. Levine; Jiaxin Shi; Emily B. Fox (CoRR, 2023)

Preparing Lessons for Progressive Training on Language Models. - Yu Pan 005; Ye Yuan 016; Yichun Yin; Jiaxin Shi; Zenglin Xu; Ming Zhang 004; Lifeng Shang; Xin Jiang 002; Qun Liu 001 (AAAI, 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 (ACL (1), 2024)

How Proficient Are Large Language Models in Formal Languages? An In-Depth Insight for Knowledge Base Question Answering. - Jinxin Liu 002; Shulin Cao; Jiaxin Shi; Tingjian Zhang; Lunyiu Nie; Linmei Hu; Lei Hou 001; Juanzi Li (ACL (Findings), 2024)

CACFD: Channel Attention for Computational Fluid Dynamics Stimulation. - Hao Sun; Jiaxin Shi (AIoTC, 2024)

Cross-Lingual Transfer for Natural Language Inference via Multilingual Prompt Translator. - Xiaoyu Qiu; Yuechen Wang; Jiaxin Shi; Wengang Zhou 001; Houqiang Li (ICME, 2024)

Non-confusing Generation of Customized Concepts in Diffusion Models. - Wang Lin; Jingyuan Chen; Jiaxin Shi; Yichen Zhu; Chen Liang; Junzhong Miao; Tao Jin 004; Zhou Zhao 001; Fei Wu 001; Shuicheng Yan; Hanwang Zhang (ICML, 2024)

Action Imitation in Common Action Space for Customized Action Image Synthesis. - Wang Lin; Jingyuan Chen; Jiaxin Shi; Zirun Guo; Yichen Zhu; Zehan Wang 001; Tao Jin 004; Zhou Zhao 001; Fei Wu 001; Shuicheng Yan; Hanwang Zhang (NeurIPS, 2024)

Simplified and Generalized Masked Diffusion for Discrete Data. - Jiaxin Shi; Kehang Han; Zhe Wang; Arnaud Doucet; Michalis K. Titsias (NeurIPS, 2024)

Enhancing Immersion in Virtual Reality: Cost-Efficient Spatial Audio Generation for Panoramic Videos. - Jiaxin Shi; Qi Wu; Di Zhang; Long Ye (VR Workshops, 2024)

Two Methods With Bidirectional Similarity for Optimal Selections of Supplier Portfolio and Supplier Substitute Based on TOPSIS and IFS. - Chao Wang 034; Jiaxin Shi; Yang Yang 028; Rui Wang (IEEE Access, 2024)

Corrections to "Two Methods With Bidirectional Similarity for Optimal Selections of Supplier Portfolio and Supplier Substitute Based on TOPSIS and IFS". - Chao Wang 034; Jiaxin Shi; Yang Yang 028; Rui Wang (IEEE Access, 2024)

Probing Structured Semantics Understanding and Generation of Language Models via Question Answering. - Jinxin Liu 002; Shulin Cao; Jiaxin Shi; Tingjian Zhang; Lei Hou 001; Juanzi Li (CoRR, 2024)

ViD-GPT: Introducing GPT-style Autoregressive Generation in Video Diffusion Models. - Kaifeng Gao; Jiaxin Shi; Hanwang Zhang; Chunping Wang; Jun Xiao 001 (CoRR, 2024)

TOP:A New Target-Audience Oriented Content Paraphrase Task. - Boda Lin; Jiaxin Shi; Haolong Yan; Binghao Tang; Xiaocheng Gong; Si Li 001 (CoRR, 2024)

Informed Correctors for Discrete Diffusion Models. - Yixiu Zhao; Jiaxin Shi; Lester Mackey; Scott W. Linderman (CoRR, 2024)

Ca2-VDM: Efficient Autoregressive Video Diffusion Model with Causal Generation and Cache Sharing. - Kaifeng Gao; Jiaxin Shi; Hanwang Zhang; Chunping Wang; Jun Xiao 001; Long Chen 016 (CoRR, 2024)

LoRA of Change: Learning to Generate LoRA for the Editing Instruction from A Single Before-After Image Pair. - Xue Song; Jiequan Cui; Hanwang Zhang; Jiaxin Shi; Jingjing Chen 001; Chi Zhang 067; Yu-Gang Jiang 001 (CoRR, 2024)

Human Motion Generation: A Survey. - Wentao Zhu 004; Xiaoxuan Ma 001; Dongwoo Ro; Hai Ci; Jinlu Zhang; Jiaxin Shi; Feng Gao 014; Qi Tian 001; Yizhou Wang 001 (IEEE Trans. Pattern Anal. Mach. Intell., 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., 2024)

Re-TASK: Revisiting LLM Tasks from Capability, Skill, and Knowledge Perspectives. - Zhihu Wang; Shiwan Zhao; Yu Wang 093; Heyuan Huang; Sitao Xie; Yubo Zhang; Jiaxin Shi; Zhixing Wang; Hongyan Li; Junchi Yan (ACL (Findings), 2025)

Incremental Transformer: Efficient Encoder for Incremented Text Over MRC and Conversation Tasks. - Weisheng Li; Yuechen Wang; Jiaxin Shi; Wengang Zhou 001; Qi Tian 001; Houqiang Li (COLING, 2025)

Chain of Semantics Programming in 3D Gaussian Splatting Representation for 3D Vision Grounding. - Jiaxin Shi; Mingyue Xiang; Hao Sun; Yixuan Huang; Zhi Weng (CVPR, 2025)

Test-time regression: a unifying framework for designing sequence models with associative memory. - Ke Alexander Wang; Jiaxin Shi; Emily B. Fox (CoRR, 2025)

Learning-Order Autoregressive Models with Application to Molecular Graph Generation. - Zhe Wang 055; Jiaxin Shi; Nicolas Heess; Arthur Gretton; Michalis K. Titsias (CoRR, 2025)

DPUSwap: building an infinite swap with DPU for cloud computing system. - Shiqiang Nie; Yang Guo; Jianqiang Ma; Yaoyao Li; Jiaxin Shi; Weiguo Wu (J. Supercomput., 2025)