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
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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