← Authors

Jia Liu

76 papers · 2016–2026 · 15 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird 🌍 Conference Polyglot (15) 🌈 Renaissance Researcher (11) 🐝 Cross-Pollinator (11) πŸŒ‰ Interdisciplinary Bridge πŸƒ Academic Marathon (9) πŸ—ΊοΈ Taxonomy Completionist (13) 🧭 Keyword Pioneer 🀝 Dynamic Duo (11) πŸ‘‘ Triple Crown πŸ† Grand Slam πŸ’Ž Century Club (73) πŸ“ˆ Trend Setter πŸ”₯ Unstoppable (10) πŸš€ Conference Pioneer ⚑ Prolific Year (6) πŸ—ƒοΈ Keyword Collector (300)

Conferences

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

Top co-authors

Haibo Yang (11) Zhuqing Liu (8) Zujie Wen (8) Chaosheng Dong (6) Wenqiang Lei (6) Xin Zhang (6) Peijie Jiang (6) Xuming Hu (6) Songtao Lu (6) Prashant Khanduri (6)

Research topics

Privacy (1)

Keywords

federated learning (6) stochastic optimization (6) sample complexity (6) gradient descent (4) communication complexity (4) speaker verification (4) multi-objective optimization (4) large language model (4) multi-task learning (4) information retrieval (3) convergence analysis (3) domain adaptation (3) bilevel optimization (3) machine reading comprehension (2) distributed learning (2) decentralized optimization (2) pac learning (2) remote sensing (2) multimodal learning (2) multi-agent reinforcement learning (2)

Papers

Resource Efficient Sleep Staging via Multi-Level Masking and Prompt Learning AAAI 2026
Multi-Objective Bilevel Learning AAAI 2026
SCo-Cloud: Satellite Constellation Collaboration for Cloud-Aware Onboard-Computed Imaging and Transmission AAAI 2026
Differentiable Quadratic Optimization For the Maximum Independent Set Problem ICML 2025
DUET: Decentralized Bilevel Optimization without Lower-Level Strong Convexity ICLR 2025
PSMGD: Periodic Stochastic Multi-Gradient Descent for Fast Multi-Objective Optimization AAAI 2025
Decoding Knowledge Attribution in Mixture-of-Experts: A Framework of Basic-Refinement Collaboration and Efficiency Analysis ACL 2025
SafeEraser: Enhancing Safety in Multimodal Large Language Models through Multimodal Machine Unlearning ACL 2025
A Survey on Proactive Defense Strategies Against Misinformation in Large Language Models ACL 2025
Look Twice Before You Answer: Memory-Space Visual Retracing for Hallucination Mitigation in Multimodal Large Language Models ICML 2025
Finite-Time Global Optimality Convergence in Deep Neural Actor-Critic Methods for Decentralized Multi-Agent Reinforcement Learning ICML 2025
FSL-SAGE: Accelerating Federated Split Learning via Smashed Activation Gradient Estimation ICML 2025
Divide and Orthogonalize: Efficient Continual Learning with Local Model Space Projection UAI 2025
STIMULUS: Achieving Fast Convergence and Low Sample Complexity in Stochastic Multi-Objective Learning UAI 2025
Exploring Response Uncertainty in MLLMs: An Empirical Evaluation under Misleading Scenarios EMNLP 2025
EcoLoRA: Communication-Efficient Federated Fine-Tuning of Large Language Models EMNLP 2025
VLA-Mark: A cross modal watermark for large vision-language alignment models EMNLP 2025
Ultra High-Resolution Image Inpainting with Patch-Based Content Consistency Adapter ICCV 2025
Marker-less Head Pose Tracking for Image-guided Cerebral Artery Navigation MICCAI 2025
Towards a Multimodal Large Language Model with Pixel-Level Insight for Biomedicine AAAI 2025
Learning Complexity of Gradient Descent and Conjugate Gradient Algorithms AAAI 2025
In-Dataset Trajectory Return Regularization for Offline Preference-based Reinforcement Learning AAAI 2025
PILOT: An $\mathcal{O}(1/K)$-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
Multi-granularity Correspondence Learning from Long-term Noisy Videos ICLR 2024
CARE: A Clue-guided Assistant for CSRs to Read User Manuals ACL 2024
A Refer-and-Ground Multimodal Large Language Model for Biomedicine MICCAI 2024
SpectralNeRF: Physically Based Spectral Rendering with Neural Radiance Field AAAI 2024
DrFuse: Learning Disentangled Representation for Clinical Multi-Modal Fusion with Missing Modality and Modal Inconsistency AAAI 2024
STYLE: Improving Domain Transferability of Asking Clarification Questions in Large Language Model Powered Conversational Agents ACL 2024
Finite-Time Convergence and Sample Complexity of Actor-Critic Multi-Objective Reinforcement Learning ICML 2024
Strength Lies in Differences! Improving Strategy Planning for Non-collaborative Dialogues via Diversified User Simulation EMNLP 2024
EfficientRAG: Efficient Retriever for Multi-Hop Question Answering EMNLP 2024
AnoPatch: Towards Better Consistency in Machine Anomalous Sound Detection INTERSPEECH 2024
Understanding Server-Assisted Federated Learning in the Presence of Incomplete Client Participation ICML 2024
Robust Domain Adaptation for Machine Reading Comprehension AAAI 2023
Federated Multi-Objective Learning NIPS 2023
Knowing-how & Knowing-that: A New Task for Machine Comprehension of User Manuals ACL 2023
TRAVEL: Tag-Aware Conversational FAQ Retrieval via Reinforcement Learning EMNLP 2023
Towards Effective Automatic Debt Collection with Persona Awareness EMNLP 2023
Self-Polish: Enhance Reasoning in Large Language Models via Problem Refinement EMNLP 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
Bandit Learning with Joint Effect of Incentivized Sampling, Delayed Sampling Feedback, and Self-Reinforcing User Preferences ICLR 2022
A Multi-objective / Multi-task Learning Framework Induced by Pareto Stationarity ICML 2022
Anarchic Federated Learning ICML 2022
Decentralized Learning for Overparameterized Problems: A Multi-Agent Kernel Approximation Approach ICLR 2022
Improve Interpretability of Neural Networks via Sparse Contrastive Coding EMNLP 2022
CamLiFlow: Bidirectional Camera-LiDAR Fusion for Joint Optical Flow and Scene Flow Estimation CVPR 2022
Spelling Correction using Phonetics in E-commerce Search ACL 2022
A Stochastic Linearized Augmented Lagrangian Method for Decentralized Bilevel Optimization NIPS 2022
PDQ-Net: Deep probabilistic dual quaternion network for absolute pose regression on $SE(3)$ UAI 2022
Taming Fat-Tailed (β€œHeavier-Tailed” with Potentially Infinite Variance) Noise in Federated Learning NIPS 2022
SAGDA: Achieving $\mathcal{O}(\epsilon^{-2})$ Communication Complexity in Federated Min-Max Learning NIPS 2022
Finite-Time Convergence and Sample Complexity of Multi-Agent Actor-Critic Reinforcement Learning with Average Reward ICLR 2022
A global convergence theory for deep ReLU implicit networks via over-parameterization ICLR 2022
Taming Communication and Sample Complexities in Decentralized Policy Evaluation for Cooperative Multi-Agent Reinforcement Learning NIPS 2021
Achieving Linear Speedup with Partial Worker Participation in Non-IID Federated Learning ICLR 2021
Sample Complexity Bounds for Active Ranking from Multi-wise Comparisons NIPS 2021
STEM: A Stochastic Two-Sided Momentum Algorithm Achieving Near-Optimal Sample and Communication Complexities for Federated Learning NIPS 2021
Incentivized Bandit Learning with Self-Reinforcing User Preferences ICML 2021
IFDDS: An Anti-fraud Outbound Robot AAAI 2021
Eingerprint: Robust Energy-related Fingerprinting for Passive RFID Tags NSDI 2020
Two-stage Behavior Cloning for Spoken Dialogue System in Debt Collection IJCAI 2020
Overfitting Can Be Harmless for Basis Pursuit, But Only to a Degree NIPS 2020
The Sample Complexity of Best-$k$ Items Selection from Pairwise Comparisons ICML 2020
Exploring $k$ out of Top $ρ$ Fraction of Arms in Stochastic Bandits AISTATS 2019
Large Margin Softmax Loss for Speaker Verification INTERSPEECH 2019
Habitat: A Platform for Embodied AI Research ICCV 2019
Speaker Embedding Extraction with Phonetic Information INTERSPEECH 2018
Modeling Hebb Learning Rule for Unsupervised Learning IJCAI 2017
DRLnet: Deep Difference Representation Learning Network and An Unsupervised Optimization Framework IJCAI 2017
THU-EE System Description for NIST LRE 2015 INTERSPEECH 2016
A Novel Discriminative Score Calibration Method for Keyword Search INTERSPEECH 2016
Improving Deep Neural Networks Based Speaker Verification Using Unlabeled Data INTERSPEECH 2016
Investigating Various Diarization Algorithms for Speaker in the Wild (SITW) Speaker Recognition Challenge INTERSPEECH 2016