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Jiaxin Shi

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

Achievements

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+16 more ↓ πŸ—ΊοΈ Taxonomy Completionist (16) 🧭 Keyword Pioneer πŸŒ‰ Interdisciplinary Bridge 🌈 Renaissance Researcher (6) 🐣 Hot Topic Early Bird
🌈 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)

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