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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.

Achievements are not shown for a combined profile - each one describes a single researcher's record, which this is not.

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