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Lijie Hu

MoRAL: MoE Augmented LoRA for LLMs' Lifelong Learning
2024 · Yang, Shu, Ali, Muhammad Asif, et al. · arXiv (Cornell University) · 8
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Learning Label-Efficient Interpretable Medical Image Diagnosis via Semi-supervised Hypergraph Concept Bottleneck Model
2026 · Yang, Yijun, Xiao, Ruiqiang, et al. · arXiv (Cornell University)
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Algorithmic Recourse of In-Context Learning for Tabular Data
2026 · Dong, Wenshuo, Zhang, Jiaming, et al. · arXiv (Cornell University)
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Functional Subspace Watermarking for Large Language Models
2026 · Ding, Zikang, Li, Junhao, et al. · arXiv (Cornell University)
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UGID: Unified Graph Isomorphism for Debiasing Large Language Models
2026 · Ding, Zikang, Yao, Junchi, et al. · arXiv (Cornell University)
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FaithSteer-BENCH: A Deployment-Aligned Stress-Testing Benchmark for Inference-Time Steering
2026 · Ding, Zikang, Hu, Qiying, et al. · arXiv (Cornell University)
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Word Recovery in Large Language Models Enables Character-Level Tokenization Robustness
2026 · Yang, Zhipeng, Yang, Shu, et al. · arXiv (Cornell University)
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Beyond Scalars: Evaluating and Understanding LLM Reasoning via Geometric Progress and Stability
2026 · Jiang, Xinyan, Liu, Ninghao, et al. · arXiv (Cornell University)
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Dual-Kernel Adapter: Expanding Spatial Horizons for Data-Constrained Medical Image Analysis
2026 · Zhu, Ziquan, Zhu, Hanruo, et al. · arXiv (Cornell University)
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Concept-Based Dictionary Learning for Inference-Time Safety in Vision Language Action Models
2026 · Wen, Siqi, Yang, Shu, et al. · arXiv (Cornell University)
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Controlling Repetition in Protein Language Models
2026 · Zhang, Jiahao, Zhang, Zeqing, et al. · arXiv (Cornell University)
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Hearing is Believing? Evaluating and Analyzing Audio Language Model Sycophancy with SYAUDIO
2026 · Yao, Junchi, Lakshmikanthan, Lokranjan, et al. · arXiv (Cornell University)
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In-Run Data Shapley for Adam Optimizer
2026 · Ding, Meng, Zhang, Zeqing, et al. · arXiv (Cornell University)
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Controllable Concept Bottleneck Models
2026 · Lin, Hongbin, Ren, Chenyang, et al. · arXiv (Cornell University)
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Global Evolutionary Steering: Refining Activation Steering Control via Cross-Layer Consistency
2026 · Xinyan Jiang, Wenjing Yu, et al. · Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP)
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SFAD: Speculative Factuality-Aware Decoding
2026 · Guanqiao Chen, Di Wang, et al. · Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP)
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Towards Reasoning-Preserving Unlearning in Multimodal Large Language Models
2025 · Li, Hongji, yao, Junchi, et al. · arXiv (Cornell University)
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Benchmarking and Mitigating Sycophancy in Medical Vision Language Models
2025 · Xu, Juangui, Guo, Zikun, et al. · arXiv (Cornell University)
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The Compositional Architecture of Regret in Large Language Models
2025 · Cui, Xiangxiang, Yang, Shu, et al. · arXiv (Cornell University)
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Private Language Models via Truncated Laplacian Mechanism
2024 · Tianhao Huang, Tao Yang, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP)
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Generalized linear models in non-interactive local differential privacy with public data
2023 · Wang, Di, Hu, Lijie, et al. · OpenBU (Boston University)
Works count: 21
Citation count: 8
H-index: 1
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