Hu, Lijie

26 publications

ICLR 2026 Controlling Repetition in Protein Language Models Jiahao Zhang, Zeqing Zhang, Di Wang, Lijie Hu

ICLR 2026 Dissecting Representation Misalignment in Contrastive Learning via Influence Function Huanyi Xie, Chenyang Ren, Khouloud Saadi, Shu Yang, Zhen Tan, Jingfeng Zhang, Lijie Hu, Di Wang

ICLR 2026 Dual-Kernel Adapter: Expanding Spatial Horizons for Data-Constrained Medical Image Analysis Ziquan Zhu, Hanruo Zhu, Si-Yuan Lu, Xiang Li, Yanda Meng, Yunxiao Zhang, Gaojie Jin, Lu Yin, Lijie Hu, Di Wang, Lu Liu, Tianjin Huang

ICLR 2026 Evaluating Data Influence in Meta Learning Chenyang Ren, Huanyi Xie, Shu Yang, Meng Ding, Dongrui Liu, Lijie Hu, Di Wang

TMLR 2026 Multimodal Deception in Explainable AI: Concept-Level Backdoor Attacks on Concept Bottleneck Models Songning Lai, Jiayu Yang, Yu Huang, Lijie Hu, TianlangXue, Zhangyi Hu, Jiaxu Li, Haicheng Liao, Zongyang Liu, Yutao Yue

ICLR 2026 Predicting LLM Output Length via Entropy-Guided Representations Huanyi Xie, Yubin Chen, Liangyu Wang, Lijie Hu, Di Wang

ICLR 2026 The Price of Amortized Inference in Sparse Autoencoders Wenjie Sun, Di Wang, Lijie Hu

ICLR 2025 Backdooring Vision-Language Models with Out-of-Distribution Data Weimin Lyu, Jiachen Yao, Saumya Gupta, Lu Pang, Tao Sun, Lingjie Yi, Lijie Hu, Haibin Ling, Chao Chen

NeurIPS 2025 EAP-GP: Mitigating Saturation Effect in Gradient-Based Automated Circuit Identification Lin Zhang, Wenshuo Dong, Zhuoran Zhang, Shu Yang, Lijie Hu, Ninghao Liu, Pan Zhou, Di Wang

ICML 2025 Editable Concept Bottleneck Models Lijie Hu, Chenyang Ren, Zhengyu Hu, Hongbin Lin, Cheng-Long Wang, Zhen Tan, Weimin Lyu, Jingfeng Zhang, Hui Xiong, Di Wang

ICLRW 2025 Editable Concept Bottleneck Models Lijie Hu, Chenyang Ren, Zhengyu Hu, Hongbin Lin, Cheng-Long Wang, Zhen Tan, Weimin Lyu, Jingfeng Zhang, Hui Xiong, Di Wang

AAAI 2025 Fair Text-to-Image Diffusion via Fair Mapping Jia Li, Lijie Hu, Jingfeng Zhang, Tianhang Zheng, Hua Zhang, Di Wang

TMLR 2025 Faithful Interpretation for Graph Neural Networks Lijie Hu, Tianhao Huang, Lu Yu, Wanyu Lin, Tianhang Zheng, Di Wang

ICML 2025 Locate-Then-Edit for Multi-Hop Factual Recall Under Knowledge Editing Zhuoran Zhang, Yongxiang Li, Zijian Kan, Keyuan Cheng, Lijie Hu, Di Wang

ICCV 2025 Semi-Supervised Concept Bottleneck Models Lijie Hu, Tianhao Huang, Huanyi Xie, Xilin Gong, Chenyang Ren, Zhengyu Hu, Lu Yu, Ping Ma, Di Wang

ECML-PKDD 2025 Stable Vision Concept Transformers for Medical Diagnosis Lijie Hu, Songning Lai, Yuan Hua, Shu Yang, Jingfeng Zhang, Di Wang

AAAI 2025 Tuning-Free Accountable Intervention for LLM Deployment - A Metacognitive Approach Zhen Tan, Jie Peng, Song Wang, Lijie Hu, Tianlong Chen, Huan Liu

ICLR 2024 Faithful Vision-Language Interpretation via Concept Bottleneck Models Songning Lai, Lijie Hu, Junxiao Wang, Laure Berti-Equille, Di Wang

JMLR 2024 Faster Rates of Differentially Private Stochastic Convex Optimization Jinyan Su, Lijie Hu, Di Wang

ICML 2024 Improving Interpretation Faithfulness for Vision Transformers Lijie Hu, Yixin Liu, Ninghao Liu, Mengdi Huai, Lichao Sun, Di Wang

NeurIPS 2024 Towards Multi-Dimensional Explanation Alignment for Medical Classification Lijie Hu, Songning Lai, Wenshuo Chen, Hongru Xiao, Hongbin Lin, Lu Yu, Jingfeng Zhang, Di Wang

NeurIPSW 2024 What Makes Your Model a Low-Empathy or Warmth Person: Exploring the Oringins of Personality in LLMs Shu Yang, Shenzhe Zhu, Liang Liu, Mengdi Li, Lijie Hu, Di Wang

JMLR 2023 Generalized Linear Models in Non-Interactive Local Differential Privacy with Public Data Di Wang, Lijie Hu, Huanyu Zhang, Marco Gaboardi, Jinhui Xu

AISTATS 2023 Privacy-Preserving Sparse Generalized Eigenvalue Problem Lijie Hu, Zihang Xiang, Jiabin Liu, Di Wang

AAAI 2023 SEAT: Stable and Explainable Attention Lijie Hu, Yixin Liu, Ninghao Liu, Mengdi Huai, Lichao Sun, Di Wang

ALT 2022 Faster Rates of Private Stochastic Convex Optimization Jinyan Su, Lijie Hu, Di Wang