| 2025 | ACL | Re-TASK: Revisiting LLM Tasks from Capability, Skill, and Knowledge Perspectives. | Zhihu Wang, Shiwan Zhao, Yu Wang, Heyuan Huang, Sitao Xie, Yubo Zhang, Jiaxin Shi, Zhixing Wang, Hongyan Li, Junchi Yan |
| 2025 | COLING | Incremental Transformer: Efficient Encoder for Incremented Text Over MRC and Conversation Tasks. | Weisheng Li, Yuechen Wang, Jiaxin Shi, Wengang Zhou, Qi Tian, Houqiang Li |
| 2025 | CVPR | Chain of Semantics Programming in 3D Gaussian Splatting Representation for 3D Vision Grounding. | Jiaxin Shi, Mingyue Xiang, Hao Sun, Yixuan Huang, Zhi Weng |
| 2025 | ICML | Learning-Order Autoregressive Models with Application to Molecular Graph Generation. | Zhe Wang, Jiaxin Shi, Nicolas Heess, Arthur Gretton, Michalis K. Titsias |
| 2025 | ICML | Ca2-VDM: Efficient Autoregressive Video Diffusion Model with Causal Generation and Cache Sharing. | Kaifeng Gao, Jiaxin Shi, Hanwang Zhang, Chunping Wang, Jun Xiao, Long Chen |
| 2025 | IJCNLP | PMPO: A Self-Optimizing Framework for Creating High-Fidelity Measurement Tools for Social Bias in Large Language Models. | Zeqiang Wang, Yuqi Wang, Xinyue Wu, Chenxi Li, Yiran Liu, Linghan Ge, Zhan Yu, Jiaxin Shi, Suparna De |
| 2025 | IJCNN | Slide-CLIP: A Simple and Effective Pruning Method for CLIP. | Jiaxin Shi, Xin Luo, S. Kevin Zhou |
| 2024 | AAAI | 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 |
| 2024 | ACL | Leveraging Machine-Generated Rationales to Facilitate Social Meaning Detection in Conversations. | Ritam Dutt, Zhen Wu, Jiaxin Shi, Divyanshu Sheth, Prakhar Gupta, Carolyn P. Ros |
| 2024 | ACL | 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 |
| 2024 | ICML | 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 |
| 2024 | VR | Enhancing Immersion in Virtual Reality: Cost-Efficient Spatial Audio Generation for Panoramic Videos. | Jiaxin Shi, Qi Wu, Di Zhang, Long Ye |
| 2023 | AAAI | BEST: BERT Pre-training for Sign Language Recognition with Coupling Tokenization. | Weichao Zhao, Hezhen Hu, Wengang Zhou, Jiaxin Shi, Houqiang Li |
| 2023 | ACL | 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 |
| 2023 | ACL | Hybrid and Collaborative Passage Reranking. | Zongmeng Zhang, Wengang Zhou, Jiaxin Shi, Houqiang Li |
| 2023 | EMNLP | 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 |
| 2023 | HCI | 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 |
| 2023 | ICML | Sequence Modeling with Multiresolution Convolutional Memory. | Jiaxin Shi, Ke Alexander Wang, Emily B. Fox |
| 2022 | ACL | 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 |
| 2022 | ACL | 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 |
| 2022 | AISTATS | Double Control Variates for Gradient Estimation in Discrete Latent Variable Models. | Michalis K. Titsias, Jiaxin Shi |
| 2022 | DASFAA | Triple-as-Node Knowledge Graph and Its Embeddings. | Xin Lv, Jiaxin Shi, Shulin Cao, Lei Hou, Juanzi Li |
| 2022 | EMNLP | Dependency Parsing via Sequence Generation. | Boda Lin, Zijun Yao, Jiaxin Shi, Shulin Cao, Binghao Tang, Si Li, Yong Luo, Juanzi Li, Lei Hou |
| 2022 | EMNLP | 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 |
| 2022 | EMNLP | 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 |
| 2022 | EMNLP | 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 |
| 2022 | ICLR | Sampling with Mirrored Stein Operators. | Jiaxin Shi, Chang Liu, Lester Mackey |
| 2022 | ICML | NeuralEF: Deconstructing Kernels by Deep Neural Networks. | Zhijie Deng, Jiaxin Shi, Jun Zhu |
| 2021 | ACL | TWAG: A Topic-Guided Wikipedia Abstract Generator. | Fangwei Zhu, Shangqing Tu, Jiaxin Shi, Juanzi Li, Lei Hou, Tong Cui |
| 2021 | EMNLP | TransferNet: An Effective and Transparent Framework for Multi-hop Question Answering over Relation Graph. | Jiaxin Shi, Shulin Cao, Lei Hou, Juanzi Li, Hanwang Zhang |
| 2021 | ICML | Scalable Variational Gaussian Processes via Harmonic Kernel Decomposition. | Shengyang Sun, Jiaxin Shi, Andrew Gordon Wilson, Roger B. Grosse |
| 2020 | AISTATS | Sparse Orthogonal Variational Inference for Gaussian Processes. | Jiaxin Shi, Michalis K. Titsias, Andriy Mnih |
| 2020 | CVPR | Unbiased Scene Graph Generation From Biased Training. | Kaihua Tang, Yulei Niu, Jianqiang Huang, Jiaxin Shi, Hanwang Zhang |
| 2020 | ICML | Nonparametric Score Estimators. | Yuhao Zhou, Jiaxin Shi, Jun Zhu |
| 2019 | AAAI | Learning to Embed Sentences Using Attentive Recursive Trees. | Jiaxin Shi, Lei Hou, Juanzi Li, Zhiyuan Liu, Hanwang Zhang |
| 2019 | AAAI | DeepChannel: Salience Estimation by Contrastive Learning for Extractive Document Summarization. | Jiaxin Shi, Chen Liang, Lei Hou, Juanzi Li, Zhiyuan Liu, Hanwang Zhang |
| 2019 | CVPR | Explainable and Explicit Visual Reasoning Over Scene Graphs. | Jiaxin Shi, Hanwang Zhang, Juanzi Li |
| 2019 | EMNLP | 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 |
| 2019 | ICLR | Functional variational Bayesian Neural Networks. | Shengyang Sun, Guodong Zhang, Jiaxin Shi, Roger B. Grosse |
| 2019 | ICML | Scalable Training of Inference Networks for Gaussian-Process Models. | Jiaxin Shi, Mohammad Emtiyaz Khan, Jun Zhu |
| 2019 | UAI | Sliced Score Matching: A Scalable Approach to Density and Score Estimation. | Yang Song, Sahaj Garg, Jiaxin Shi, Stefano Ermon |
| 2018 | ICLR | Kernel Implicit Variational Inference. | Jiaxin Shi, Shengyang Sun, Jun Zhu |
| 2018 | ICML | A Spectral Approach to Gradient Estimation for Implicit Distributions. | Jiaxin Shi, Shengyang Sun, Jun Zhu |
| 2018 | ICML | Message Passing Stein Variational Gradient Descent. | Jingwei Zhuo, Chang Liu, Jiaxin Shi, Jun Zhu, Ning Chen, Bo Zhang |
| 2017 | IJCNLP | On Modeling Sense Relatedness in Multi-prototype Word Embedding. | Yixin Cao, Jiaxin Shi, Juanzi Li, Zhiyuan Liu, Chengjiang Li |
| 2016 | EuroSys | Fast and general distributed transactions using RDMA and HTM. | Yanzhe Chen, Xingda Wei, Jiaxin Shi, Rong Chen, Haibo Chen |
| 2016 | OSDI | Fast and Concurrent RDF Queries with RDMA-Based Distributed Graph Exploration. | Jiaxin Shi, Youyang Yao, Rong Chen, Haibo Chen, Feifei Li |
| 2015 | EuroSys | PowerLyra: differentiated graph computation and partitioning on skewed graphs. | Rong Chen, Jiaxin Shi, Yanzhe Chen, Haibo Chen |
| 2015 | SOSP | Fast in-memory transaction processing using RDMA and HTM. | Xingda Wei, Jiaxin Shi, Yanzhe Chen, Rong Chen, Haibo Chen |