Lijie Hu

Orcid: 0000-0003-1251-8504

According to our database1, Lijie Hu authored at least 73 papers between 2010 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2025
MSRS: Adaptive Multi-Subspace Representation Steering for Attribute Alignment in Large Language Models.
CoRR, August, 2025

Partitioner Guided Modal Learning Framework.
CoRR, July, 2025

Attributing Data for Sharpness-Aware Minimization.
CoRR, July, 2025

The Compositional Architecture of Regret in Large Language Models.
CoRR, June, 2025

Mitigating Behavioral Hallucination in Multimodal Large Language Models for Sequential Images.
CoRR, June, 2025

Flattery in Motion: Benchmarking and Analyzing Sycophancy in Video-LLMs.
CoRR, June, 2025

Efficient Text-Attributed Graph Learning through Selective Annotation and Graph Alignment.
CoRR, June, 2025

Stable Vision Concept Transformers for Medical Diagnosis.
CoRR, June, 2025

CODEMENV: Benchmarking Large Language Models on Code Migration.
CoRR, June, 2025

COMPKE: Complex Question Answering under Knowledge Editing.
CoRR, June, 2025

Understanding and Mitigating Cross-lingual Privacy Leakage via Language-specific and Universal Privacy Neurons.
CoRR, June, 2025

Towards Stable and Explainable Attention Mechanisms.
IEEE Trans. Knowl. Data Eng., May, 2025

Understanding How Value Neurons Shape the Generation of Specified Values in LLMs.
CoRR, May, 2025

C<sup>2</sup> ATTACK: Towards Representation Backdoor on CLIP via Concept Confusion.
CoRR, March, 2025

Can Large Language Models Identify Implicit Suicidal Ideation? An Empirical Evaluation.
CoRR, February, 2025

EAP-GP: Mitigating Saturation Effect in Gradient-based Automated Circuit Identification.
CoRR, February, 2025

Free-T2M: Frequency Enhanced Text-to-Motion Diffusion Model With Consistency Loss.
CoRR, January, 2025

Evaluating Data Influence in Meta Learning.
CoRR, January, 2025

Faithful Interpretation for Graph Neural Networks.
Trans. Mach. Learn. Res., 2025

Soft Decoders for Various Ambient IoT Receivers in FEC-Miller Concatenated Coding System.
Proceedings of the 2025 IEEE Wireless Communications and Networking Conference (WCNC), 2025

SMoA: Improving Multi-agent Large Language Models with Sparse Mixture-of-Agents.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2025

Mechanistic Unveiling of Transformer Circuits: Self-Influence as a Key to Model Reasoning.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2025, Albuquerque, New Mexico, USA, April 29, 2025

Backdooring Vision-Language Models with Out-Of-Distribution Data.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Understanding the Repeat Curse in Large Language Models from a Feature Perspective.
Proceedings of the Findings of the Association for Computational Linguistics, 2025

Fraud-R1 : A Multi-Round Benchmark for Assessing the Robustness of LLM Against Augmented Fraud and Phishing Inducements.
Proceedings of the Findings of the Association for Computational Linguistics, 2025

CODEMENV: Benchmarking Large Language Models on Code Migration.
Proceedings of the Findings of the Association for Computational Linguistics, 2025

COMPKE: Complex Question Answering under Knowledge Editing.
Proceedings of the Findings of the Association for Computational Linguistics, 2025

Fair Text-to-Image Diffusion via Fair Mapping.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

Tuning-Free Accountable Intervention for LLM Deployment - a Metacognitive Approach.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024
Nearly Optimal Rates of Privacy-Preserving Sparse Generalized Eigenvalue Problem.
IEEE Trans. Knowl. Data Eng., 2024

Faster Rates of Differentially Private Stochastic Convex Optimization.
J. Mach. Learn. Res., 2024

Uncertain inference network in evidential reasoning.
Evol. Intell., 2024

Dissecting Misalignment of Multimodal Large Language Models via Influence Function.
CoRR, 2024

SMoA: Improving Multi-agent Large Language Models with Sparse Mixture-of-Agents.
CoRR, 2024

What makes your model a low-empathy or warmth person: Exploring the Origins of Personality in LLMs.
CoRR, 2024

Locate-then-edit for Multi-hop Factual Recall under Knowledge Editing.
CoRR, 2024

CAT: Concept-level backdoor ATtacks for Concept Bottleneck Models.
CoRR, 2024

Understanding Reasoning in Chain-of-Thought from the Hopfieldian View.
CoRR, 2024

DRIVE: Dependable Robust Interpretable Visionary Ensemble Framework in Autonomous Driving.
CoRR, 2024

Semi-supervised Concept Bottleneck Models.
CoRR, 2024

A Hopfieldian View-based Interpretation for Chain-of-Thought Reasoning.
CoRR, 2024

Text Guided Image Editing with Automatic Concept Locating and Forgetting.
CoRR, 2024

Editable Concept Bottleneck Models.
CoRR, 2024

Leveraging Logical Rules in Knowledge Editing: A Cherry on the Top.
CoRR, 2024

Multi-hop Question Answering under Temporal Knowledge Editing.
CoRR, 2024

PROMPT-SAW: Leveraging Relation-Aware Graphs for Textual Prompt Compression.
CoRR, 2024

Dialectical Alignment: Resolving the Tension of 3H and Security Threats of LLMs.
CoRR, 2024

Human-AI Interactions in the Communication Era: Autophagy Makes Large Models Achieving Local Optima.
CoRR, 2024

MoRAL: MoE Augmented LoRA for LLMs' Lifelong Learning.
CoRR, 2024

Towards Multi-dimensional Explanation Alignment for Medical Classification.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

SATO: Stable Text-to-Motion Framework.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Improving Interpretation Faithfulness for Vision Transformers.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Faithful Vision-Language Interpretation via Concept Bottleneck Models.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Private Language Models via Truncated Laplacian Mechanism.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

UniMEEC: Towards Unified Multimodal Emotion Recognition and Emotion Cause.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Dissecting Fine-Tuning Unlearning in Large Language Models.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Differentially Private Natural Language Models: Recent Advances and Future Directions.
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2024, 2024

2023
A low-floor bit-mapping scheme for LDPC coded BICM for 5G and beyond systems.
Sci. China Inf. Sci., October, 2023

Generalized Linear Models in Non-interactive Local Differential Privacy with Public Data.
J. Mach. Learn. Res., 2023

Improving Faithfulness for Vision Transformers.
CoRR, 2023

Rate-Compatible Puncturing and Shortening of Short PAC Codes for 6G URLLC.
Proceedings of the 24th IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2023

Channel Estimation and Reflecting Design of RIS-Aided Coded Systems Over Time-Varying Channels.
Proceedings of the 23rd IEEE International Conference on Communication Technology, 2023

Error-and-Erasure Decoding of Product-Like Codes With BCH and SPC Components.
Proceedings of the IEEE/CIC International Conference on Communications in China, 2023

A Fundamental Model with Stable Interpretability for Traffic Forecasting.
Proceedings of the 1st ACM SIGSPATIAL International Workshop on Geo-Privacy and Data Utility for Smart Societies, 2023

Finite Sample Guarantees of Differentially Private Expectation Maximization Algorithm.
Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

Privacy-preserving Sparse Generalized Eigenvalue Problem.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

SEAT: Stable and Explainable Attention.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
High Dimensional Differentially Private Stochastic Optimization with Heavy-tailed Data.
Proceedings of the PODS '22: International Conference on Management of Data, Philadelphia, PA, USA, June 12, 2022

Faster Rates of Private Stochastic Convex Optimization.
Proceedings of the International Conference on Algorithmic Learning Theory, 29 March, 2022

2015
Practical pilot contamination modelling and reduction in TDD 3D-MIMO systems.
Proceedings of the 26th IEEE Annual International Symposium on Personal, 2015

Reference signal design for demodulation of higher-order MU-MIMO in 3D-MIMO systems.
Proceedings of the 2015 IEEE/CIC International Conference on Communications in China, 2015

2010
Performance Analysis of HARQ Transmission in Cooperative DF Relaying Systems.
Wirel. Pers. Commun., 2010

Adaptive Modulation in Coded Cooperation under Rayleigh Fading Channels.
IEICE Trans. Commun., 2010


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