Lijie Hu

According to our database, Lijie Hu authored at least 116 papers between 2010 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

Algorithmic Recourse of In-Context Learning for Tabular Data.

Wenshuo Dong, Jiaming Zhang, Shaopneg Fu, Hongbin Lin, Di Wang, Lijie Hu

CoRR, May, 2026

Multi-Adapter Representation Interventions via Energy Calibration.

Manjiang Yu, Hongji Li, Junwei Chen, Xue Li, Priyanka Singh, Yang Cao, Lijie Hu

CoRR, May, 2026

Understanding Generalization and Forgetting in In-Context Continual Learning.

Guangyu Li, Meng Ding, Lijie Hu

CoRR, May, 2026

Bayesian Gated Non-Negative Contrastive Learning.

Peng Cui, Jiahao Zhang, Lijie Hu

CoRR, May, 2026

The Strongest Teacher Is Not Always the Best Teacher: Student-Centric Answer Selection.

Zhengyu Hu, Zheyuan Xiao, Linxin Song, Fengqing Jiang, Yutai Li, Zhengyu Chen, Zhihan Xiong, Yue Liu, Junhao Lin, Yao Su, Lijie Hu, Kaize Ding, Xiao Teng, Radha Poovendran

CoRR, May, 2026

Matryoshka Concept Bottleneck Models.

Ziye Chen, Hongbin Lin, Jie Li, Lijie Hu

CoRR, May, 2026

MedFM-Robust: Benchmarking Robustness of Medical Foundation Models.

Xiangxiang Cui, Tianjin Huang, Yifang Wang, Lijie Hu, Lu Yin

CoRR, May, 2026

In-Context Learning Operates as Concept Subspace Learning.

Wei Tang, Xinyan Jiang, Fakhri Karray, Lijie Hu

CoRR, May, 2026

From Instance Selection to Fixed-Pool Data Recipe Search for Supervised Fine-Tuning.

Haodong Wu, Jiahao Zhang, Lijie Hu, Yongqi Zhang

CoRR, May, 2026

UGID: Unified Graph Isomorphism for Debiasing Large Language Models.

Zikang Ding, Junchi Yao, Junhao Li, Yi Zhang, Wenbo Jiang, Hongbo Liu, Lijie Hu

CoRR, March, 2026

Functional Subspace Watermarking for Large Language Models.

Zikang Ding, Junhao Li, Suling Wu, Junchi Yao, Hongbo Liu, Lijie Hu

CoRR, March, 2026

FaithSteer-BENCH: A Deployment-Aligned Stress-Testing Benchmark for Inference-Time Steering.

Zikang Ding, Qiying Hu, Yi Zhang, Hongji Li, Junchi Yao, Hongbo Liu, Lijie Hu

CoRR, March, 2026

SWE-Skills-Bench: Do Agent Skills Actually Help in Real-World Software Engineering?

Tingxu Han, Yi Zhang, Wei Song, Chunrong Fang, Zhenyu Chen, Youcheng Sun, Lijie Hu

CoRR, March, 2026

Global Evolutionary Steering: Refining Activation Steering Control via Cross-Layer Consistency.

Xinyan Jiang, Wenjing Yu, Di Wang, Lijie Hu

CoRR, March, 2026

Word Recovery in Large Language Models Enables Character-Level Tokenization Robustness.

Zhipeng Yang, Shu Yang, Lijie Hu, Di Wang

CoRR, March, 2026

Beyond Scalars: Evaluating and Understanding LLM Reasoning via Geometric Progress and Stability.

Xinyan Jiang, Ninghao Liu, Di Wang, Lijie Hu

CoRR, March, 2026

Visual Self-Fulfilling Alignment: Shaping Safety-Oriented Personas via Threat-Related Images.

Qishun Yang, Shu Yang, Lijie Hu, Di Wang

CoRR, March, 2026

Understanding the Dynamics of Demonstration Conflict in In-Context Learning.

Difan Jiao, Di Wang, Lijie Hu

CoRR, March, 2026

Dual-Kernel Adapter: Expanding Spatial Horizons for Data-Constrained Medical Image Analysis.

Ziquan Zhu, Hanruo Zhu, Siyuan Lu, Xiang Li, Yanda Meng, Gaojie Jin, Lu Yin, Lijie Hu, Di Wang, Lu Liu, Tianjin Huang

CoRR, February, 2026

Predicting LLM Output Length via Entropy-Guided Representations.

Huanyi Xie, Yubin Chen, Liangyu Wang, Lijie Hu, Di Wang

CoRR, February, 2026

Less is Enough: Synthesizing Diverse Data in Feature Space of LLMs.

Zhongzhi Li, Xuansheng Wu, Yijiang Li, Lijie Hu, Ninghao Liu

CoRR, February, 2026

Concept-Based Dictionary Learning for Inference-Time Safety in Vision Language Action Models.

Siqi Wen, Shu Yang, Shaopeng Fu, Jingfeng Zhang, Lijie Hu, Di Wang

CoRR, February, 2026

Controlling Repetition in Protein Language Models.

Jiahao Zhang, Zeqing Zhang, Di Wang, Lijie Hu

CoRR, February, 2026

In-Run Data Shapley for Adam Optimizer.

Meng Ding, Zeqing Zhang, Di Wang, Lijie Hu

CoRR, February, 2026

Hearing is Believing? Evaluating and Analyzing Audio Language Model Sycophancy with SYAUDIO.

Junchi Yao, Lokranjan Lakshmikanthan, Annie Zhao, Danielle Zhao, Shu Yang, Zikang Ding, Di Wang, Lijie Hu

CoRR, January, 2026

What Gets Activated: Uncovering Domain and Driver Experts in MoE Language Models.

Guimin Hu, Meng Li, Qiwei Peng, Lijie Hu, Boyan Xu, Ruichu Cai

CoRR, January, 2026

Controllable Concept Bottleneck Models.

Hongbin Lin, Chenyang Ren, Juangui Xu, Zhengyu Hu, Cheng-Long Wang, Yao Shu, Hui Xiong, Jingfeng Zhang, Di Wang, Lijie Hu

CoRR, January, 2026

Efficient Text-Attributed Graph Learning through Selective Annotation and Graph Alignment.

Huanyi Xie, Lu Yu, Tianhao Huang, Longfei Li, Meng Li, Jun Zhou, Lijie Hu, Di Wang

Trans. Mach. Learn. Res., 2026

Towards Representation Backdoor on CLIP via Concept Confusion.

Junchi Liao, Weimin Lyu, Lijie Hu, Shaopeng Fu, Tianhao Huang, Shu Yang, Jie Li, Di Wang

Trans. Mach. Learn. Res., 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

Trans. Mach. Learn. Res., 2026

PIXEL: Adaptive Steering Via Position-wise Injection with eXact Estimated Levels under a Subspace Calibration.

Manjiang Yu, Hongji Li, Priyanka Singh, Xue Li, Di Wang, Lijie Hu

Proceedings of the ACM Web Conference 2026, 2026

Flattery in Motion: Benchmarking and Analyzing Sycophancy in Video-LLMs.

Wenrui Zhou, Mohamed Hendy, Shu Yang, Qingsong Yang, Zikun Guo, Yuyu Luo, Lijie Hu, Di Wang

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

Visual Self-Fulfilling Alignment: Shaping Safety-Oriented Personas via Threat-Related Images.

Qishun Yang, Shu Yang, Lijie Hu, Di Wang

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

2025

State-of-the-Art Overview of 3GPP Ambient IoT Radio Access Aspects.

Xiaodong Shen, Jingwen Zhang, Ningyu Chen, Lijie Hu, Xiaoran Zhang, Miaoqi Zhang, Jianyang Ren, Kangyi Liu, Nan Hu, Xiaodong Xu, Haiyu Ding

IEEE Commun. Stand. Mag., December, 2025

Towards Reasoning-Preserving Unlearning in Multimodal Large Language Models.

Hongji Li, Junchi Yao, Manjiang Yu, Priyanka Singh, Xue Li, Di Wang, Lijie Hu

CoRR, December, 2025

When Modalities Conflict: How Unimodal Reasoning Uncertainty Governs Preference Dynamics in MLLMs.

Zhuoran Zhang, Tengyue Wang, Xilin Gong, Yang Shi, Haotian Wang, Di Wang, Lijie Hu

CoRR, November, 2025

PAHQ: Accelerating Automated Circuit Discovery through Mixed-Precision Inference Optimization.

Xinhai Wang, Shu Yang, Liangyu Wang, Lin Zhang, Huanyi Xie, Lijie Hu, Di Wang

CoRR, October, 2025

Benchmarking and Mitigate Psychological Sycophancy in Medical Vision-Language Models.

Zikun Guo, Xinyue Xu, Pei Xiang, Shu Yang, Xin Han, Di Wang, Lijie Hu

CoRR, September, 2025

D-LEAF: Localizing and Correcting Hallucinations in Multimodal LLMs via Layer-to-head Attention Diagnostics.

Tiancheng Yang, Lin Zhang, Jiaye Lin, Guimin Hu, Di Wang, Lijie Hu

CoRR, September, 2025

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

Xinyan Jiang, Lin Zhang, Jiayi Zhang, Qingsong Yang, Guimin Hu, Di Wang, Lijie Hu

CoRR, August, 2025

Partitioner Guided Modal Learning Framework.

Guimin Hu, Yi Xin, Lijie Hu, Zhihong Zhu, Hasti Seifi

CoRR, July, 2025

Attributing Data for Sharpness-Aware Minimization.

Chenyang Ren, Yifan Jia, Huanyi Xie, Zhaobin Xu, Tianxing Wei, Liangyu Wang, Lijie Hu, Di Wang

CoRR, July, 2025

The Compositional Architecture of Regret in Large Language Models.

Xiangxiang Cui, Shu Yang, Tianjin Huang, Wanyu Lin, Lijie Hu, Di Wang

CoRR, June, 2025

Mitigating Behavioral Hallucination in Multimodal Large Language Models for Sequential Images.

Liangliang You, Junchi Yao, Shu Yang, Guimin Hu, Lijie Hu, Di Wang

CoRR, June, 2025

Flattery in Motion: Benchmarking and Analyzing Sycophancy in Video-LLMs.

Wenrui Zhou, Shu Yang, Qingsong Yang, Zikun Guo, Lijie Hu, Di Wang

CoRR, June, 2025

Efficient Text-Attributed Graph Learning through Selective Annotation and Graph Alignment.

Huanyi Xie, Lijie Hu, Lu Yu, Tianhao Huang, Longfei Li, Meng Li, Jun Zhou, Huan Wang, Di Wang

CoRR, June, 2025

CODEMENV: Benchmarking Large Language Models on Code Migration.

Keyuan Cheng, Xudong Shen, Yihao Yang, Tengyue Wang, Yang Cao, Muhammad Asif Ali, Hanbin Wang, Lijie Hu, Di Wang

CoRR, June, 2025

COMPKE: Complex Question Answering under Knowledge Editing.

Keyuan Cheng, Zijian Kan, Zhixian He, Zhuoran Zhang, Muhammad Asif Ali, Ke Xu, Lijie Hu, Di Wang

CoRR, June, 2025

Understanding and Mitigating Cross-lingual Privacy Leakage via Language-specific and Universal Privacy Neurons.

Wenshuo Dong, Qingsong Yang, Shu Yang, Lijie Hu, Meng Ding, Wanyu Lin, Tianhang Zheng, Di Wang

CoRR, June, 2025

Towards Stable and Explainable Attention Mechanisms.

Lijie Hu, Xinhai Wang, Yixin Liu, Ninghao Liu, Mengdi Huai, Lichao Sun, Di Wang

IEEE Trans. Knowl. Data Eng., May, 2025

C² ATTACK: Towards Representation Backdoor on CLIP via Concept Confusion.

Lijie Hu, Junchi Liao, Weimin Lyu, Shaopeng Fu, Tianhao Huang, Shu Yang, Guimin Hu, Di Wang

CoRR, March, 2025

Free-T2M: Frequency Enhanced Text-to-Motion Diffusion Model With Consistency Loss.

Wenshuo Chen, Haozhe Jia, Songning Lai, Keming Wu, Hongru Xiao, Lijie Hu, Yutao Yue

CoRR, January, 2025

Evaluating Data Influence in Meta Learning.

Chenyang Ren, Huanyi Xie, Shu Yang, Meng Ding, Lijie Hu, Di Wang

CoRR, January, 2025

Faithful Interpretation for Graph Neural Networks.

Lijie Hu, Tianhao Huang, Lu Yu, Wanyu Lin, Tianhang Zheng, Di Wang

Trans. Mach. Learn. Res., 2025

Soft Decoders for Various Ambient IoT Receivers in FEC-Miller Concatenated Coding System.

Xiaodong Shen, Rujing Shen, Lei Xia, Lijie Hu, Nan Hu, Haiyu Ding

Proceedings of the 2025 IEEE Wireless Communications and Networking Conference (WCNC), 2025

Stable Vision Concept Transformers for Medical Diagnosis.

Lijie Hu, Songning Lai, Yuan Hua, Shu Yang, Jingfeng Zhang, Di Wang

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2025

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

Dawei Li, Zhen Tan, Peijia Qian, Yifan Li, Kumar Satvik Chaudhary, Lijie Hu, Jiayi Shen

Proceedings of the Advances in Knowledge Discovery and Data Mining, 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

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Mechanistic Unveiling of Transformer Circuits: Self-Influence as a Key to Model Reasoning.

Lin Zhang, Lijie Hu, Di Wang

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2025, Albuquerque, New Mexico, USA, April 29, 2025

From Guesswork to Guarantee: Towards Faithful Multimedia Web Forecasting with TimeSieve.

Songning Lai, Ninghui Feng, Jiechao Gao, Hao Wang, Haochen Sui, Xin Zou, Jiayu Yang, Wenshuo Chen, Lijie Hu, Hang Zhao, Xuming Hu, Yutao Yue

Proceedings of the 33rd ACM International Conference on Multimedia, 2025

PgM: Partitioner Guided Modal Learning Framework.

Guimin Hu, Yi Xin, Lijie Hu, Zhihong Zhu, Hasti Seifi

Proceedings of the 33rd ACM International Conference on Multimedia, 2025

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

Songning Lai, Tianlang Xue, Hongru Xiao, Lijie Hu, Jiemin Wu, Ninghui Feng, Runwei Guan, Haicheng Liao, Zhenning Li, Yutao Yue

Proceedings of the IEEE International Conference on Robotics and Automation, 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

Proceedings of the Forty-second International Conference on Machine Learning, 2025

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

Zhuoran Zhang, Yongxiang Li, Zijian Kan, Keyuan Cheng, Lijie Hu, Di Wang

Proceedings of the Forty-second International Conference on Machine Learning, 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

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Semi-Supervised Concept Bottleneck Models.

Lijie Hu, Tianhao Huang, Huanyi Xie, Xilin Gong, Chenyang Ren, Zhengyu Hu, Lu Yu, Ping Ma, Di Wang

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

Understanding How Value Neurons Shape the Generation of Specified Values in LLMs.

Yi Su, Jiayi Zhang, Shu Yang, Xinhai Wang, Lijie Hu, Di Wang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

Can Large Language Models Identify Implicit Suicidal Ideation? An Empirical Evaluation.

Tong Li, Shu Yang, Junchao Wu, Jiyao Wei, Lijie Hu, Mengdi Li, Derek F. Wong, Joshua R. Oltmanns, Di Wang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

Understanding the Repeat Curse in Large Language Models from a Feature Perspective.

Junchi Yao, Shu Yang, Jianhua Xu, Lijie Hu, Mengdi Li, Di Wang

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.

Shu Yang, Shenzhe Zhu, Zeyu Wu, Keyu Wang, Junchi Yao, Junchao Wu, Lijie Hu, Mengdi Li, Derek F. Wong, Di Wang

Proceedings of the Findings of the Association for Computational Linguistics, 2025

CODEMENV: Benchmarking Large Language Models on Code Migration.

Keyuan Cheng, Xudong Shen, Yihao Yang, TengyueWang TengyueWang, Yang Cao, Muhammad Asif Ali, Hanbin Wang, Lijie Hu, Di Wang

Proceedings of the Findings of the Association for Computational Linguistics, 2025

COMPKE: Complex Question Answering under Knowledge Editing.

Keyuan Cheng, Zijian Kan, Zhuoran Zhang, Muhammad Asif Ali, Lijie Hu, Di Wang

Proceedings of the Findings of the Association for Computational Linguistics, 2025

Fair Text-to-Image Diffusion via Fair Mapping.

Jia Li, Lijie Hu, Jingfeng Zhang, Tianhang Zheng, Hua Zhang, Di Wang

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

Tuning-Free Accountable Intervention for LLM Deployment - a Metacognitive Approach.

Zhen Tan, Jie Peng, Song Wang, Lijie Hu, Tianlong Chen, Huan Liu

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Nearly Optimal Rates of Privacy-Preserving Sparse Generalized Eigenvalue Problem.

Lijie Hu, Zihang Xiang, Jiabin Liu, Di Wang

IEEE Trans. Knowl. Data Eng., 2024

Faster Rates of Differentially Private Stochastic Convex Optimization.

Jinyan Su, Lijie Hu, Di Wang

J. Mach. Learn. Res., 2024

Uncertain inference network in evidential reasoning.

Lijie Hu, Jinwu Gao, Giuseppe Fenza, Yanghe Feng, Carmen De Maio

Evol. Intell., 2024

Dissecting Misalignment of Multimodal Large Language Models via Influence Function.

Lijie Hu, Chenyang Ren, Huanyi Xie, Khouloud Saadi, Shu Yang, Jingfeng Zhang, Di Wang

CoRR, 2024

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

Dawei Li, Zhen Tan, Peijia Qian, Yifan Li, Kumar Satvik Chaudhary, Lijie Hu, Jiayi Shen

CoRR, 2024

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

Shu Yang, Shenzhe Zhu, Ruoxuan Bao, Liang Liu, Yu Cheng, Lijie Hu, Mengdi Li, Di Wang

CoRR, 2024

CAT: Concept-level backdoor ATtacks for Concept Bottleneck Models.

Songning Lai, Jiayu Yang, Yu Huang, Lijie Hu, Tianlang Xue, Zhangyi Hu, Jiaxu Li, Haicheng Liao, Yutao Yue

CoRR, 2024

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

Lijie Hu, Liang Liu, Shu Yang, Xin Chen, Zhen Tan, Muhammad Asif Ali, Mengdi Li, Di Wang

CoRR, 2024

Semi-supervised Concept Bottleneck Models.

Lijie Hu, Tianhao Huang, Huanyi Xie, Chenyang Ren, Zhengyu Hu, Lu Yu, Di Wang

CoRR, 2024

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

Lijie Hu, Liang Liu, Shu Yang, Xin Chen, Hongru Xiao, Mengdi Li, Pan Zhou, Muhammad Asif Ali, Di Wang

CoRR, 2024

Text Guided Image Editing with Automatic Concept Locating and Forgetting.

Jia Li, Lijie Hu, Zhixian He, Jingfeng Zhang, Tianhang Zheng, Di Wang

CoRR, 2024

Editable Concept Bottleneck Models.

Lijie Hu, Chenyang Ren, Zhengyu Hu, Cheng-Long Wang, Di Wang

CoRR, 2024

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

Keyuan Cheng, Muhammad Asif Ali, Shu Yang, Gang Lin, Yuxuan Zhai, Haoyang Fei, Ke Xu, Lu Yu, Lijie Hu, Di Wang

CoRR, 2024

Multi-hop Question Answering under Temporal Knowledge Editing.

Keyuan Cheng, Gang Lin, Haoyang Fei, Yuxuan Zhai, Lu Yu, Muhammad Asif Ali, Lijie Hu, Di Wang

CoRR, 2024

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

Muhammad Asif Ali, Zhengping Li, Shu Yang, Keyuan Cheng, Yang Cao, Tianhao Huang, Lijie Hu, Lu Yu, Di Wang

CoRR, 2024

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

Shu Yang, Jiayuan Su, Han Jiang, Mengdi Li, Keyuan Cheng, Muhammad Asif Ali, Lijie Hu, Di Wang

CoRR, 2024

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

Shu Yang, Lijie Hu, Lu Yu, Muhammad Asif Ali, Di Wang

CoRR, 2024

MoRAL: MoE Augmented LoRA for LLMs' Lifelong Learning.

Shu Yang, Muhammad Asif Ali, Cheng-Long Wang, Lijie Hu, Di Wang

CoRR, 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

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

SATO: Stable Text-to-Motion Framework.

Wenshuo Chen, Hongru Xiao, Erhang Zhang, Lijie Hu, Lei Wang, Mengyuan Liu, Chen Chen

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Improving Interpretation Faithfulness for Vision Transformers.

Lijie Hu, Yixin Liu, Ninghao Liu, Mengdi Huai, Lichao Sun, Di Wang

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Faithful Vision-Language Interpretation via Concept Bottleneck Models.

Songning Lai, Lijie Hu, Junxiao Wang, Laure Berti-Équille, Di Wang

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Private Language Models via Truncated Laplacian Mechanism.

Tianhao Huang, Tao Yang, Ivan Habernal, Lijie Hu, Di Wang

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

UniMEEC: Towards Unified Multimodal Emotion Recognition and Emotion Cause.

Guimin Hu, Zhihong Zhu, Daniel Hershcovich, Lijie Hu, Hasti Seifi, Jiayuan Xie

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Dissecting Fine-Tuning Unlearning in Large Language Models.

Yihuai Hong, Yuelin Zou, Lijie Hu, Ziqian Zeng, Di Wang, Haiqin Yang

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Differentially Private Natural Language Models: Recent Advances and Future Directions.

Lijie Hu, Ivan Habernal, Lei Shen, Di Wang

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.

Mingyang Zhu, Ming Jiang, Chunming Zhao, Lijie Hu, Xiaodong Xu

Sci. China Inf. Sci., October, 2023

Generalized Linear Models in Non-interactive Local Differential Privacy with Public Data.

Di Wang, Lijie Hu, Huanyu Zhang, Marco Gaboardi, Jinhui Xu

J. Mach. Learn. Res., 2023

Improving Faithfulness for Vision Transformers.

Lijie Hu, Yixin Liu, Ninghao Liu, Mengdi Huai, Lichao Sun, Di Wang

CoRR, 2023

Rate-Compatible Puncturing and Shortening of Short PAC Codes for 6G URLLC.

Xianwen Zhang, Ming Jiang, Mingyang Zhu, Chunming Zhao, Lijie Hu

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.

Hongmei Kang, Lin Zhao, Yi Sun, Nan Hu, Lijie Hu, Ming Jiang

Proceedings of the 23rd IEEE International Conference on Communication Technology, 2023

Error-and-Erasure Decoding of Product-Like Codes With BCH and SPC Components.

Mingyang Zhu, Ming Jiang, Chunming Zhao, Lijie Hu

Proceedings of the IEEE/CIC International Conference on Communications in China, 2023

A Fundamental Model with Stable Interpretability for Traffic Forecasting.

Xiaochuan Gou, Lijie Hu, Di Wang, Xiangliang Zhang

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.

Di Wang, Jiahao Ding, Lijie Hu, Zejun Xie, Miao Pan, Jinhui Xu

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.

Lijie Hu, Zihang Xiang, Jiabin Liu, Di Wang

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

SEAT: Stable and Explainable Attention.

Lijie Hu, Yixin Liu, Ninghao Liu, Mengdi Huai, Lichao Sun, Di Wang

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

High Dimensional Differentially Private Stochastic Optimization with Heavy-tailed Data.

Lijie Hu, Shuo Ni, Hanshen Xiao, Di Wang

Proceedings of the PODS '22: International Conference on Management of Data, Philadelphia, PA, USA, June 12, 2022

Faster Rates of Private Stochastic Convex Optimization.

Jinyan Su, Lijie Hu, Di Wang

Proceedings of the International Conference on Algorithmic Learning Theory, 29 March, 2022

2015

Practical pilot contamination modelling and reduction in TDD 3D-MIMO systems.

Jing Jin, Hui Tong, Fei Wang, Lijie Hu, Xueying Hou, Qixing Wang, Guangyi Liu

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.

Yuhong Huang, Lijie Hu, Hui Tong, Fei Wang, Jing Jin, Guangyi Liu, Qixing Wang

Proceedings of the 2015 IEEE/CIC International Conference on Communications in China, 2015

2010

Performance Analysis of HARQ Transmission in Cooperative DF Relaying Systems.

Kan Zheng, Lijie Hu, Wenbo Wang, Lin Huang

Wirel. Pers. Commun., 2010

Adaptive Modulation in Coded Cooperation under Rayleigh Fading Channels.

Kan Zheng, Lijie Hu, Ling Wang, Wenbo Wang, Lin Huang

IEICE Trans. Commun., 2010