← Authors

Yining Wang

50 papers · 2013–2025 · 13 conferences · across top CS/AI conferences

Achievements

🧭 Keyword Pioneer 🐝 Cross-Pollinator (14) πŸƒ Academic Marathon (12) 🌈 Renaissance Researcher (5) πŸŒ‰ Interdisciplinary Bridge 🌍 Conference Polyglot (13) πŸ—ΊοΈ Taxonomy Completionist (17) 🐣 Hot Topic Early Bird 🌟 Keyword Trendsetter Combo (3) πŸ† Keyword Champion (2) 🀝 Dynamic Duo (13) πŸ“ˆ Trend Setter ⚑ Prolific Year (8) πŸ”₯ Unstoppable (13) ❓ The Questioner πŸ—ƒοΈ Keyword Collector (226) πŸ’Ž Century Club (50)

Conferences

NIPS (11) ACL (7) AISTATS (7) ICML (5) COLT (4) EMNLP (4) IJCNLP (3) JMLR (3) IJCAI (2) CVPR (1) ICLR (1) MIDL (1) NAACL (1)

Top co-authors

Aarti Singh (13) Chengqing Zong (11) Jiajun Zhang (9) Yuan Zhou (5) Yu Zhou (4) Xi Chen (4) Long Zhou (4) Junnan Zhu (3) Yu-Xiang Wang (3) Feifei Zhai (3)

Research topics

Differential Privacy (1)

Keywords

neural machine translation (6) regret bound (5) zeroth-order optimization (4) sample complexity (4) subspace clustering (4) stochastic optimization (3) tensor decomposition (3) combinatorial optimization (3) neural network (3) large language model (3) knowledge distillation (3) online learning (3) multi-task learning (3) low-rank approximation (3) learning to rank (2) differential privacy (2) parameter sharing (2) machine translation (2) multilingual translation (2) information retrieval (2)

Papers

UORA: Uniform Orthogonal Reinitialization Adaptation in Parameter Efficient Fine-Tuning of Large Models ACL 2025
Investigating and Enhancing Vision-Audio Capability in Omnimodal Large Language Models ACL 2025
Cheap Character Noise for OCR-Robust Multilingual Embeddings ACL 2025
Gender Bias in Large Language Models across Multiple Languages: A Case Study of ChatGPT NAACL 2025
Cracking Factual Knowledge: A Comprehensive Analysis of Degenerate Knowledge Neurons in Large Language Models ACL 2025
TROVE: A Challenge for Fine-Grained Text Provenance via Source Sentence Tracing and Relationship Classification ACL 2025
Navigate Beyond Shortcuts: Debiased Learning Through the Lens of Neural Collapse CVPR 2024
Stochastic Zeroth-Order Optimization under Strongly Convexity and Lipschitz Hessian: Minimax Sample Complexity NIPS 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
Smooth Bandit Optimization: Generalization to Holder Space AISTATS 2021
Optimism in Reinforcement Learning with Generalized Linear Function Approximation ICLR 2021
A Knowledge-driven Generative Model for Multi-implication Chinese Medical Procedure Entity Normalization EMNLP 2020
Root-n-Regret for Learning in Markov Decision Processes with Function Approximation and Low Bellman Rank COLT 2020
CASIA’s System for IWSLT 2020 Open Domain Translation ACL 2020
Dynamic Assortment Optimization with Changing Contextual Information JMLR 2020
Co-Attentive Multi-Task Learning for Explainable Recommendation IJCAI 2019
Synchronously Generating Two Languages with Interactive Decoding EMNLP 2019
Synchronously Generating Two Languages with Interactive Decoding IJCNLP 2019
NCLS: Neural Cross-Lingual Summarization EMNLP 2019
NCLS: Neural Cross-Lingual Summarization IJCNLP 2019
Nearly Minimax-Optimal Regret for Linearly Parameterized Bandits COLT 2019
A Compact and Language-Sensitive Multilingual Translation Method ACL 2019
How Many Samples are Needed to Estimate a Convolutional Neural Network? NIPS 2018
Optimization of Smooth Functions with Noisy Observations: Local Minimax Rates NIPS 2018
Near-Optimal Policies for Dynamic Multinomial Logit Assortment Selection Models NIPS 2018
Direct Learning to Rank And Rerank AISTATS 2018
Stochastic Zeroth-order Optimization in High Dimensions AISTATS 2018
Three Strategies to Improve One-to-Many Multilingual Translation EMNLP 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
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
Sequence Modeling via Segmentations ICML 2017
Graph Connectivity in Noisy Sparse Subspace Clustering AISTATS 2016
Data Poisoning Attacks on Factorization-Based Collaborative Filtering NIPS 2016
Online and Differentially-Private Tensor Decomposition NIPS 2016
An Improved Gap-Dependency Analysis of the Noisy Power Method COLT 2016
Differentially private subspace clustering NIPS 2015
Fast and Guaranteed Tensor Decomposition via Sketching NIPS 2015
Column Subset Selection with Missing Data via Active Sampling AISTATS 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
Spectral Methods for Supervised Topic Models NIPS 2014
A Theoretical Analysis of NDCG Type Ranking Measures COLT 2013