Jia Liu

Revealing Procedural Reasoning Structures in Chain-of-Thought Training via Span-Level Gradient Organization ACL 2026 Resource Efficient Sleep Staging via Multi-Level Masking and Prompt Learning AAAI 2026 Optimal Expert-Attention Allocation in Mixture-of-Experts: A Scalable Law for Dynamic Model Design ACL 2026 SCo-Cloud: Satellite Constellation Collaboration for Cloud-Aware Onboard-Computed Imaging and Transmission AAAI 2026 Multi-Objective Bilevel Learning AAAI 2026 FSL-SAGE: Accelerating Federated Split Learning via Smashed Activation Gradient Estimation ICML 2025 Differentiable Quadratic Optimization For the Maximum Independent Set Problem ICML 2025 DUET: Decentralized Bilevel Optimization without Lower-Level Strong Convexity ICLR 2025 STIMULUS: Achieving Fast Convergence and Low Sample Complexity in Stochastic Multi-Objective Learning UAI 2025 In-Dataset Trajectory Return Regularization for Offline Preference-based Reinforcement Learning AAAI 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 Marker-less Head Pose Tracking for Image-guided Cerebral Artery Navigation MICCAI 2025 Divide and Orthogonalize: Efficient Continual Learning with Local Model Space Projection 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 Look Twice Before You Answer: Memory-Space Visual Retracing for Hallucination Mitigation in Multimodal Large Language Models ICML 2025 Ultra High-Resolution Image Inpainting with Patch-Based Content Consistency Adapter ICCV 2025 Finite-Time Global Optimality Convergence in Deep Neural Actor-Critic Methods for Decentralized Multi-Agent Reinforcement Learning ICML 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 Multi-granularity Correspondence Learning from Long-term Noisy Videos ICLR 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 EfficientRAG: Efficient Retriever for Multi-Hop Question Answering EMNLP 2024 Strength Lies in Differences! Improving Strategy Planning for Non-collaborative Dialogues via Diversified User Simulation EMNLP 2024 A Refer-and-Ground Multimodal Large Language Model for Biomedicine MICCAI 2024 AnoPatch: Towards Better Consistency in Machine Anomalous Sound Detection INTERSPEECH 2024 Q-Tuning: Queue-based Prompt Tuning for Lifelong Few-shot Language Learning NAACL 2024 PILOT: An $\mathcal{O}(1/K)$-Convergent Approach for Policy Evaluation with Nonlinear Function Approximation ICLR 2024 CARE: A Clue-guided Assistant for CSRs to Read User Manuals ACL 2024 STYLE: Improving Domain Transferability of Asking Clarification Questions in Large Language Model Powered Conversational Agents ACL 2024 Understanding Server-Assisted Federated Learning in the Presence of Incomplete Client Participation ICML 2024 Finite-Time Convergence and Sample Complexity of Actor-Critic Multi-Objective Reinforcement Learning ICML 2024 Linearly Constrained Bilevel Optimization: A Smoothed Implicit Gradient Approach ICML 2023 Federated Multi-Objective Learning NIPS 2023 Robust Domain Adaptation for Machine Reading Comprehension AAAI 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 Prometheus: Taming Sample and Communication Complexities in Constrained Decentralized Stochastic Bilevel Learning ICML 2023 Spelling Correction using Phonetics in E-commerce Search ACL 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 A Multi-objective / Multi-task Learning Framework Induced by Pareto Stationarity ICML 2022 Decentralized Learning for Overparameterized Problems: A Multi-Agent Kernel Approximation Approach ICLR 2022 Anarchic Federated Learning ICML 2022 SAGDA: Achieving $\mathcal{O}(\epsilon^{-2})$ Communication Complexity in Federated Min-Max Learning NIPS 2022 Taming Fat-Tailed (“Heavier-Tailed” with Potentially Infinite Variance) Noise in Federated Learning NIPS 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 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 Bandit Learning with Joint Effect of Incentivized Sampling, Delayed Sampling Feedback, and Self-Reinforcing User Preferences ICLR 2022 Sample Complexity Bounds for Active Ranking from Multi-wise Comparisons NIPS 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 NIPS 2021 Taming Communication and Sample Complexities in Decentralized Policy Evaluation for Cooperative Multi-Agent Reinforcement Learning NIPS 2021 IFDDS: An Anti-fraud Outbound Robot AAAI 2021 Achieving Linear Speedup with Partial Worker Participation in Non-IID Federated Learning ICLR 2021 The Sample Complexity of Best-$k$ Items Selection from Pairwise Comparisons ICML 2020 Overfitting Can Be Harmless for Basis Pursuit, But Only to a Degree NIPS 2020 Two-stage Behavior Cloning for Spoken Dialogue System in Debt Collection IJCAI 2020 Eingerprint: Robust Energy-related Fingerprinting for Passive RFID Tags NSDI 2020 Large Margin Softmax Loss for Speaker Verification INTERSPEECH 2019 Habitat: A Platform for Embodied AI Research ICCV 2019 Exploring $k$ out of Top $ρ$ Fraction of Arms in Stochastic Bandits AISTATS 2019 Speaker Embedding Extraction with Phonetic Information INTERSPEECH 2018 DRLnet: Deep Difference Representation Learning Network and An Unsupervised Optimization Framework IJCAI 2017 Modeling Hebb Learning Rule for Unsupervised Learning 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