Yixin Wang
43 papers · 2017–2026 · 13 venues · across top CS/AI venues
This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 27 separate collaboration groups - the largest holds only 19% of them. Pick the group below that matches the researcher you mean. How a shared name is split.
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Which Yixin Wang?
4 groups of papers that share co-authors internally but none with each other - each most likely a different researcher. Pick one to see its papers.
23 papers whose co-authors appear nowhere else under this name
QuEPT: Quantized Elastic Precision Transformers with One-Shot Calibration for Multi-Bit Switching
AAAI 2026
Accuracy on the wrong line: On the pitfalls of noisy data for out-of-distribution generalisation
AISTATS 2025
Audio-Visual Adaptive Fusion Network for Question Answering Based on Contrastive Learning
AAAI 2025
Counterfactual Voting Adjustment for Quality Assessment and Fairer Voting in Online Platforms with Helpfulness Evaluation
ICML 2025
Deep Generative Models: Complexity, Dimensionality, and Approximation
JMLR 2025
Doubly robust identification of treatment effects from multiple environments
ICLR 2025
Identifying Neural Dynamics Using Interventional State Space Models
ICML 2025
Let Me Grok for You: Accelerating Grokking via Embedding Transfer from a Weaker Model
ICLR 2025
Representation Learning: A Causal Perspective
AAAI 2025
Causal Inference for Human-Language Model Collaboration
NAACL 2024
From Unstructured Data to In-Context Learning: Exploring What Tasks Can Be Learned and When
NeurIPS 2024
Instrumental Variable Value Iteration for Causal Offline Reinforcement Learning
JMLR 2024
LLMs Are Prone to Fallacies in Causal Inference
EMNLP 2024
MMedAgent: Learning to Use Medical Tools with Multi-modal Agent
EMNLP 2024
Offline Policy Evaluation and Optimization Under Confounding
AISTATS 2024
On the Identifiability of Switching Dynamical Systems
ICML 2024
Uncertainty Calibration for Tool-Using Language Agents
EMNLP 2024
Bidirectional Attention as a Mixture of Continuous Word Experts
UAI 2023
Learning to Optimize with Stochastic Dominance Constraints
AISTATS 2023
SAP-DETR: Bridging the Gap Between Salient Points and Queries-Based Transformer Detector for Fast Model Convergency
CVPR 2023
Anticipating Performativity by Predicting from Predictions
NeurIPS 2022
How Distance Transform Maps Boost Segmentation CNNs: An Empirical Study
MIDL 2020
Point process models for sequence detection in high-dimensional neural spike trains
NeurIPS 2020