← Authors

Jiaxin Shi

50 papers · 2016–2025 · 13 conferences · across top CS/AI conferences

Achievements

πŸ—ΊοΈ Taxonomy Completionist (16) 🧭 Keyword Pioneer 🐝 Cross-Pollinator (4) πŸƒ Academic Marathon (9) 🌍 Conference Polyglot (13) 🌈 Renaissance Researcher (6) πŸŒ‰ Interdisciplinary Bridge 🐣 Hot Topic Early Bird 🀝 Dynamic Duo (17) πŸ‘‘ Triple Crown πŸ† Grand Slam πŸ”¬ Deep Specialist (10) 🧬 Topic Evolution πŸ† Keyword Champion ⚑ Prolific Year (10) πŸ”₯ Unstoppable (10) ❓ The Questioner πŸ“ˆ Trend Setter πŸ’Ž Century Club (50) πŸ—ƒοΈ Keyword Collector (262) πŸš€ Conference Pioneer

Conferences

ICML (10) ACL (8) EMNLP (7) NIPS (5) AAAI (4) IJCNLP (4) CVPR (3) ICLR (3) AISTATS (2) AACL (1) COLING (1) OSDI (1) UAI (1)

Top co-authors

Juanzi Li (17) Lei Hou (15) Hanwang Zhang (9) Shulin Cao (8) Jun Zhu (7) Qi Tian (5) Shengyang Sun (4) Zhiyuan Liu (4) Houqiang Li (3) Zijun Yao (3)

Keywords

large language model (6) variational inference (6) question answering (4) knowledge base (4) gradient estimation (3) attention mechanism (3) complex question answering (3) pre-trained language model (3) gaussian process (3) control variate (2) probabilistic reasoning (2) representation learning (2) few-shot learning (2) variational autoencoder (2) knowledge graph (2) graph attention network (2) semantic parsing (2) bayesian inference (2) question decomposition (2) transfer learning (2)

Papers

Re-TASK: Revisiting LLM Tasks from Capability, Skill, and Knowledge Perspectives ACL 2025
PMPO: A Self-Optimizing Framework for Creating High-Fidelity Measurement Tools for Social Bias in Large Language Models IJCNLP 2025
Chain of Semantics Programming in 3D Gaussian Splatting Representation for 3D Vision Grounding CVPR 2025
PMPO: A Self-Optimizing Framework for Creating High-Fidelity Measurement Tools for Social Bias in Large Language Models AACL 2025
Learning-Order Autoregressive Models with Application to Molecular Graph Generation ICML 2025
Incremental Transformer: Efficient Encoder for Incremented Text Over MRC and Conversation Tasks COLING 2025
Ca2-VDM: Efficient Autoregressive Video Diffusion Model with Causal Generation and Cache Sharing ICML 2025
Action Imitation in Common Action Space for Customized Action Image Synthesis NIPS 2024
Leveraging Machine-Generated Rationales to Facilitate Social Meaning Detection in Conversations ACL 2024
How Proficient Are Large Language Models in Formal Languages? An In-Depth Insight for Knowledge Base Question Answering ACL 2024
Simplified and Generalized Masked Diffusion for Discrete Data NIPS 2024
Non-confusing Generation of Customized Concepts in Diffusion Models ICML 2024
Preparing Lessons for Progressive Training on Language Models AAAI 2024
Sequence Modeling with Multiresolution Convolutional Memory ICML 2023
BEST: BERT Pre-training for Sign Language Recognition with Coupling Tokenization AAAI 2023
Reasoning over Hierarchical Question Decomposition Tree for Explainable Question Answering ACL 2023
Hybrid and Collaborative Passage Reranking ACL 2023
A Finite-Particle Convergence Rate for Stein Variational Gradient Descent NIPS 2023
Probabilistic Tree-of-thought Reasoning for Answering Knowledge-intensive Complex Questions EMNLP 2023
Gradient Estimation with Discrete Stein Operators NIPS 2022
KQA Pro: A Dataset with Explicit Compositional Programs for Complex Question Answering over Knowledge Base ACL 2022
Dependency Parsing via Sequence Generation EMNLP 2022
Sampling with Mirrored Stein Operators ICLR 2022
Program Transfer for Answering Complex Questions over Knowledge Bases ACL 2022
Double Control Variates for Gradient Estimation in Discrete Latent Variable Models AISTATS 2022
NeuralEF: Deconstructing Kernels by Deep Neural Networks ICML 2022
GraphQ IR: Unifying the Semantic Parsing of Graph Query Languages with One Intermediate Representation EMNLP 2022
G-MAP: General Memory-Augmented Pre-trained Language Model for Domain Tasks EMNLP 2022
ParaMac: A General Unsupervised Paraphrase Generation Framework Leveraging Semantic Constraints and Diversifying Mechanisms EMNLP 2022
TWAG: A Topic-Guided Wikipedia Abstract Generator ACL 2021
TransferNet: An Effective and Transparent Framework for Multi-hop Question Answering over Relation Graph EMNLP 2021
TWAG: A Topic-Guided Wikipedia Abstract Generator IJCNLP 2021
Scalable Variational Gaussian Processes via Harmonic Kernel Decomposition ICML 2021
Nonparametric Score Estimators ICML 2020
Sparse Orthogonal Variational Inference for Gaussian Processes AISTATS 2020
Unbiased Scene Graph Generation From Biased Training CVPR 2020
Sliced Score Matching: A Scalable Approach to Density and Score Estimation UAI 2019
Semi-supervised Entity Alignment via Joint Knowledge Embedding Model and Cross-graph Model EMNLP 2019
Explainable and Explicit Visual Reasoning Over Scene Graphs CVPR 2019
Semi-supervised Entity Alignment via Joint Knowledge Embedding Model and Cross-graph Model IJCNLP 2019
DeepChannel: Salience Estimation by Contrastive Learning for Extractive Document Summarization AAAI 2019
Learning to Embed Sentences Using Attentive Recursive Trees AAAI 2019
Scalable Training of Inference Networks for Gaussian-Process Models ICML 2019
FUNCTIONAL VARIATIONAL BAYESIAN NEURAL NETWORKS ICLR 2019
Semi-crowdsourced Clustering with Deep Generative Models NIPS 2018
Message Passing Stein Variational Gradient Descent ICML 2018
A Spectral Approach to Gradient Estimation for Implicit Distributions ICML 2018
Kernel Implicit Variational Inference ICLR 2018
On Modeling Sense Relatedness in Multi-prototype Word Embedding IJCNLP 2017
Fast and Concurrent RDF Queries with RDMA-Based Distributed Graph Exploration OSDI 2016