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Jia Liu

80 papers · 2016–2026 · 15 venues · across top CS/AI venues

This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 18 separate collaboration groups - the largest holds only 39% 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 Jia Liu?

11 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 Haibo Yang, Zhuqing Liu, Prashant Khanduri 31 papers · 2020–2026 · ICML, NeurIPS, ICLR Hide ▲
CodeV: Code with Images for Faithful Visual Reasoning via Tool-Aware Policy Optimization CVPR 2026 Multi-Objective Bilevel Learning AAAI 2026 DUET: Decentralized Bilevel Optimization without Lower-Level Strong Convexity ICLR 2025 Differentiable Quadratic Optimization For the Maximum Independent Set Problem ICML 2025 Divide and Orthogonalize: Efficient Continual Learning with Local Model Space Projection UAI 2025 EcoLoRA: Communication-Efficient Federated Fine-Tuning of Large Language Models EMNLP 2025 FSL-SAGE: Accelerating Federated Split Learning via Smashed Activation Gradient Estimation ICML 2025 Finite-Time Global Optimality Convergence in Deep Neural Actor-Critic Methods for Decentralized Multi-Agent Reinforcement Learning ICML 2025 PSMGD: Periodic Stochastic Multi-Gradient Descent for Fast Multi-Objective Optimization AAAI 2025 STIMULUS: Achieving Fast Convergence and Low Sample Complexity in Stochastic Multi-Objective Learning UAI 2025 Finite-Time Convergence and Sample Complexity of Actor-Critic Multi-Objective Reinforcement Learning ICML 2024 PILOT: An O(1/K)-Convergent Approach for Policy Evaluation with Nonlinear Function Approximation ICLR 2024 Q-Tuning: Queue-based Prompt Tuning for Lifelong Few-shot Language Learning NAACL 2024 Understanding Server-Assisted Federated Learning in the Presence of Incomplete Client Participation ICML 2024 Federated Multi-Objective Learning NeurIPS 2023 Linearly Constrained Bilevel Optimization: A Smoothed Implicit Gradient Approach ICML 2023 Prometheus: Taming Sample and Communication Complexities in Constrained Decentralized Stochastic Bilevel Learning ICML 2023 A Multi-objective / Multi-task Learning Framework Induced by Pareto Stationarity ICML 2022 A Stochastic Linearized Augmented Lagrangian Method for Decentralized Bilevel Optimization NeurIPS 2022 Anarchic Federated Learning ICML 2022 Bandit Learning with Joint Effect of Incentivized Sampling, Delayed Sampling Feedback, and Self-Reinforcing User Preferences ICLR 2022 Decentralized Learning for Overparameterized Problems: A Multi-Agent Kernel Approximation Approach ICLR 2022 Finite-Time Convergence and Sample Complexity of Multi-Agent Actor-Critic Reinforcement Learning with Average Reward ICLR 2022 SAGDA: Achieving O(ε^-2) Communication Complexity in Federated Min-Max Learning NeurIPS 2022 Spelling Correction using Phonetics in E-commerce Search ACL 2022 Taming Fat-Tailed (“Heavier-Tailed” with Potentially Infinite Variance) Noise in Federated Learning NeurIPS 2022 Achieving Linear Speedup with Partial Worker Participation in Non-IID Federated Learning ICLR 2021 Incentivized Bandit Learning with Self-Reinforcing User Preferences ICML 2021 STEM: A Stochastic Two-Sided Momentum Algorithm Achieving Near-Optimal Sample and Communication Complexities for Federated Learning NeurIPS 2021 Taming Communication and Sample Complexities in Decentralized Policy Evaluation for Cooperative Multi-Agent Reinforcement Learning NeurIPS 2021 Overfitting Can Be Harmless for Basis Pursuit, But Only to a Degree NeurIPS 2020
7 papers whose co-authors appear nowhere else under this name
SCo-Cloud: Satellite Constellation Collaboration for Cloud-Aware Onboard-Computed Imaging and Transmission AAAI 2026 In-Dataset Trajectory Return Regularization for Offline Preference-based Reinforcement Learning AAAI 2025 Learning Complexity of Gradient Descent and Conjugate Gradient Algorithms AAAI 2025 Marker-less Head Pose Tracking for Image-guided Cerebral Artery Navigation MICCAI 2025 DrFuse: Learning Disentangled Representation for Clinical Multi-Modal Fusion with Missing Modality and Modal Inconsistency AAAI 2024 A global convergence theory for deep ReLU implicit networks via over-parameterization ICLR 2022 Habitat: A Platform for Embodied AI Research ICCV 2019

Venues · all papers under this name

ICML (12) AAAI (11) ACL (9) EMNLP (9) ICLR (8) NeurIPS (8) Interspeech (7) IJCAI (3) UAI (3) CVPR (2) ICCV (2) MICCAI (2) NSDI (2) AISTATS (1) NAACL (1)