Jiaxin Shi
50 papers · 2016–2025 · 13 conferences · across top CS/AI conferences
Achievements
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πΊοΈ Taxonomy Completionist (16) π§ Keyword Pioneer π Interdisciplinary Bridge π Renaissance Researcher (6) π£ Hot Topic Early Bird
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Renaissance Researcher
(6)
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Interdisciplinary Bridge
π£
Hot Topic Early Bird
π€
Dynamic Duo
(17)
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Triple Crown
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Grand Slam
π¬
Deep Specialist
(10)
π§¬
Topic Evolution
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Keyword Champion
β‘
Prolific Year
(10)
π₯
Unstoppable
(10)
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The Questioner
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Trend Setter
π
Century Club
(50)
ποΈ
Keyword Collector
(262)
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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
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