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Jing Yang

88 papers · 2017–2026 · 20 venues · across top CS/AI venues

This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 30 separate collaboration groups - the largest holds only 33% of them. Pick the group below that matches the researcher you mean. How a shared name is split.

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Which Jing Yang?

13 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.

with Cong Shen, Ruiquan Huang, Yingbin Liang 29 papers · 2018–2025 · ICML, NeurIPS, ICLR Hide ▲
A Shared Low-Rank Adaptation Approach to Personalized RLHF AISTATS 2025 Augmenting Online RL with Offline Data is All You Need: A Unified Hybrid RL Algorithm Design and Analysis UAI 2025 Data-adaptive Differentially Private Prompt Synthesis for In-Context Learning ICLR 2025 How Transformers Learn Regular Language Recognition: A Theoretical Study on Training Dynamics and Implicit Bias ICML 2025 On the Learn-to-Optimize Capabilities of Transformers in In-Context Sparse Recovery ICLR 2025 On the Training Convergence of Transformers for In-Context Classification of Gaussian Mixtures ICML 2025 Efficient Prompt Optimization Through the Lens of Best Arm Identification NeurIPS 2024 Federated Online Prediction from Experts with Differential Privacy: Separations and Regret Speed-ups NeurIPS 2024 Federated Q-Learning: Linear Regret Speedup with Low Communication Cost ICLR 2024 Federated Representation Learning in the Under-Parameterized Regime ICML 2024 Improving Sample Efficiency of Model-Free Algorithms for Zero-Sum Markov Games ICML 2024 Non-asymptotic Convergence of Training Transformers for Next-token Prediction NeurIPS 2024 Provable Benefits of Multi-task RL under Non-Markovian Decision Making Processes ICLR 2024 Provably Efficient UCB-type Algorithms For Learning Predictive State Representations ICLR 2024 Transformers as Game Players: Provable In-context Game-playing Capabilities of Pre-trained Models NeurIPS 2024 Federated Linear Contextual Bandits with User-level Differential Privacy ICML 2023 Improved Sample Complexity for Reward-free Reinforcement Learning under Low-rank MDPs ICLR 2023 Near-optimal Conservative Exploration in Reinforcement Learning under Episode-wise Constraints ICML 2023 Non-stationary Reinforcement Learning under General Function Approximation ICML 2023 Provably Efficient Algorithm for Nonstationary Low-Rank MDPs NeurIPS 2023 Provably Efficient Offline Reinforcement Learning with Perturbed Data Sources ICML 2023 Safe Exploration Incurs Nearly No Additional Sample Complexity for Reward-Free RL ICLR 2023 Provable Benefit of Multitask Representation Learning in Reinforcement Learning NeurIPS 2022 Federated Linear Contextual Bandits NeurIPS 2021 Federated Multi-armed Bandits with Personalization AISTATS 2021 Heterogeneous Multi-player Multi-armed Bandits: Closing the Gap and Generalization NeurIPS 2021 Decentralized Multi-player Multi-armed Bandits with No Collision Information AISTATS 2020 Stochastic Linear Contextual Bandits with Diverse Contexts AISTATS 2020 Cost-aware Cascading Bandits IJCAI 2018
17 papers whose co-authors appear nowhere else under this name
DomainCQA: Crafting Knowledge-Intensive QA from Domain-Specific Charts AAAI 2026 Text-Phase Synergy Network with Dual Priors for Unsupervised Cross-Domain Image Retrieval CVPR 2026 Towards Multimodal Continual Knowledge Embedding with Modality Forgetting Modulation AAAI 2026 Dissecting and Streamlining the Interactive Loop of Mobile Cloud Gaming NSDI 2025 Evaluating Cognitive-Behavioral Fixation via Multimodal User Viewing Patterns on Social Media EMNLP 2025 Exploiting Temporal State Space Sharing for Video Semantic Segmentation CVPR 2025 Exploring Large Language Models’ World Perception: A Multi-Dimensional Evaluation through Data Distribution EMNLP 2025 Fixing the Double Penalty in Data-Driven Weather Forecasting Through a Modified Spherical Harmonic Loss Function ICML 2025 Gaussian Head & Shoulders: High Fidelity Neural Upper Body Avatars with Anchor Gaussian Guided Texture Warping ICLR 2025 Learning Curves of Classification Metrics based on Confusion Matrices ACML 2025 Position: The Artificial Intelligence and Machine Learning Community Should Adopt a More Transparent and Regulated Peer Review Process ICML 2025 Pretrained Reversible Generation as Unsupervised Visual Representation Learning ICCV 2025 FAN-Trans: Online Knowledge Distillation for Facial Action Unit Detection WACV 2023 The USTC-NELSLIP Offline Speech Translation Systems for IWSLT 2022 ACL 2022 Looking Wider for Better Adaptive Representation in Few-Shot Learning AAAI 2021 CF-LSTM: Cascaded Feature-Based Long Short-Term Networks for Predicting Pedestrian Trajectory AAAI 2020 On the Duration of Mandarin Tones Interspeech 2017