Yining Wang

VAPO: End-to-end Slide-Enhanced Speech Recognition with Omni-modal Large Language Models ACL 2026 ReasoningGuard: Safeguarding Large Reasoning Models with Inference-time Safety Aha Moments ACL 2026 GuideTree: Guideline-Induced Review Trees for Long Medical Records ACL 2026 FocalOrder: Focal Preference Optimization for Reading Order Detection ACL 2026 TROVE: A Challenge for Fine-Grained Text Provenance via Source Sentence Tracing and Relationship Classification ACL 2025 Investigating and Enhancing Vision-Audio Capability in Omnimodal Large Language Models ACL 2025 Gender Bias in Large Language Models across Multiple Languages: A Case Study of ChatGPT NAACL 2025 Cheap Character Noise for OCR-Robust Multilingual Embeddings ACL 2025 Cracking Factual Knowledge: A Comprehensive Analysis of Degenerate Knowledge Neurons in Large Language Models ACL 2025 UORA: Uniform Orthogonal Reinitialization Adaptation in Parameter Efficient Fine-Tuning of Large Models ACL 2025 Stochastic Zeroth-Order Optimization under Strongly Convexity and Lipschitz Hessian: Minimax Sample Complexity NIPS 2024 Navigate Beyond Shortcuts: Debiased Learning Through the Lens of Neural Collapse CVPR 2024 Optimal Sample Complexity Bounds for Non-convex Optimization under Kurdyka-Lojasiewicz Condition AISTATS 2023 Sample Complexity for Quadratic Bandits: Hessian Dependent Bounds and Optimal Algorithms NIPS 2023 Left Ventricle Contouring in Cardiac Images Based on Deep Reinforcement Learning MIDL 2022 Tight Regret Bounds for Infinite-armed Linear Contextual Bandits AISTATS 2021 Adversarial Combinatorial Bandits with General Non-linear Reward Functions ICML 2021 Optimism in Reinforcement Learning with Generalized Linear Function Approximation ICLR 2021 Smooth Bandit Optimization: Generalization to Holder Space AISTATS 2021 A Knowledge-driven Generative Model for Multi-implication Chinese Medical Procedure Entity Normalization EMNLP 2020 Dynamic Assortment Optimization with Changing Contextual Information JMLR 2020 CASIA’s System for IWSLT 2020 Open Domain Translation ACL 2020 Root-n-Regret for Learning in Markov Decision Processes with Function Approximation and Low Bellman Rank COLT 2020 Nearly Minimax-Optimal Regret for Linearly Parameterized Bandits COLT 2019 A Compact and Language-Sensitive Multilingual Translation Method ACL 2019 NCLS: Neural Cross-Lingual Summarization EMNLP 2019 Synchronously Generating Two Languages with Interactive Decoding EMNLP 2019 Co-Attentive Multi-Task Learning for Explainable Recommendation IJCAI 2019 NCLS: Neural Cross-Lingual Summarization IJCNLP 2019 Synchronously Generating Two Languages with Interactive Decoding IJCNLP 2019 Three Strategies to Improve One-to-Many Multilingual Translation EMNLP 2018 Near-Optimal Policies for Dynamic Multinomial Logit Assortment Selection Models NIPS 2018 Phrase Table as Recommendation Memory for Neural Machine Translation IJCAI 2018 Provably Correct Algorithms for Matrix Column Subset Selection with Selectively Sampled Data JMLR 2018 Optimization of Smooth Functions with Noisy Observations: Local Minimax Rates NIPS 2018 How Many Samples are Needed to Estimate a Convolutional Neural Network? NIPS 2018 Stochastic Zeroth-order Optimization in High Dimensions AISTATS 2018 Direct Learning to Rank And Rerank AISTATS 2018 Sequence Modeling via Segmentations ICML 2017 Towards Neural Machine Translation with Partially Aligned Corpora IJCNLP 2017 On Computationally Tractable Selection of Experiments in Measurement-Constrained Regression Models JMLR 2017 On the Power of Truncated SVD for General High-rank Matrix Estimation Problems NIPS 2017 Near-Optimal Design of Experiments via Regret Minimization ICML 2017 Online and Differentially-Private Tensor Decomposition NIPS 2016 Data Poisoning Attacks on Factorization-Based Collaborative Filtering NIPS 2016 Graph Connectivity in Noisy Sparse Subspace Clustering AISTATS 2016 An Improved Gap-Dependency Analysis of the Noisy Power Method COLT 2016 Column Subset Selection with Missing Data via Active Sampling AISTATS 2015 Differentially private subspace clustering NIPS 2015 DP-space: Bayesian Nonparametric Subspace Clustering with Small-variance Asymptotics ICML 2015 A Deterministic Analysis of Noisy Sparse Subspace Clustering for Dimensionality-reduced Data ICML 2015 Fast and Guaranteed Tensor Decomposition via Sketching NIPS 2015 Spectral Methods for Supervised Topic Models NIPS 2014 A Theoretical Analysis of NDCG Type Ranking Measures COLT 2013