Huijia Wu

According to our database, Huijia Wu authored at least 34 papers between 2014 and 2026.

Collaborative distances:

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

2026

Unveiling Hidden Psychological States: Synergistic Fusion of Amplified Color and Motion from Video.

Yiwei Ru, Qi Li, Yongji Liu, Huijia Wu, Zhaofeng He, Zhenan Sun

Mach. Intell. Res., April, 2026

Omni-RRM: Advancing Omni Reward Modeling via Automatic Rubric-Grounded Preference Synthesis.

Zicheng Kong, Dehua Ma, Zhenbo Xu, Alven Yang, Yiwei Ru, Haoran Wang, Zixuan Zhou, Fuqing Bie, Liuyu Xiang, Huijia Wu, Jian Zhao, Zhaofeng He

CoRR, February, 2026

Rethinking Class-Incremental Learning From a Dynamic Imbalanced Learning Perspective.

Leyuan Wang, Liuyu Xiang, Yunlong Wang, Huijia Wu, Huafeng Yang, Jingqian Liu, Zhaofeng He

IEEE Trans. Multim., 2026

MT-dyna: A framework for evaluating multi-turn capabilities of LLMs.

Jun Gao, Junlin Cui, Anwen Yang, Yiqi Tong, Huijia Wu, Xiangzheng Zhang, Yaodong Yang, Zhaofeng He

Appl. Soft Comput., 2026

Interpretable Safety Alignment via SAE-Constructed Low-Rank Subspace Adaptation.

Dianyun Wang, Qingsen Ma, Yuhu Shang, Zhifeng Lu, Zhenbo Xu, Lechen Ning, Huijia Wu, Zhaofeng He

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

From Chaos to Cure: A Prefix Heuristics Guided Model-Agnostic Adaptive Detoxification Framework.

Yuhu Shang, Xiang Cheng, Yimeng Ren, Huijia Wu, Xuexiong Luo, Kangkang Lu, Jian Zhao, Zhaofeng He

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

HEV Generative Sandbox: A Framework for Assessing Domain-Specific Social Risks Through Human-LLM Simulation.

Yiran Liu, Zhiyi Hou, Xiaoang Xu, Shuo Wang, Huijia Wu, Kaicheng Yu, Yang Yu, ChengXiang Zhai

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Unlocking the Address Book: Dissecting the Sparse Semantic Structure of LLM Key-Value Caches via Sparse Autoencoders.

Qingsen Ma, Dianyun Wang, Jiaming Lyu, Yaoye Wang, Lechen Ning, Sujie Zhu, Zhenbo Xu, Liuyu Xiang, Huining Li, Huijia Wu, Zhaofeng He

CoRR, December, 2025

Make an Offer They Can't Refuse: Grounding Bayesian Persuasion in Real-World Dialogues without Pre-Commitment.

Buwei He, Yang Liu, Zhaowei Zhang, Zixia Jia, Huijia Wu, Zhaofeng He, Zilong Zheng, Yipeng Kang

CoRR, October, 2025

MemeMind: A Large-Scale Multimodal Dataset with Chain-of-Thought Reasoning for Harmful Meme Detection.

Hexiang Gu, Qifan Yu, Saihui Hou, Zhiqin Fang, Huijia Wu, Zhaofeng He

CoRR, June, 2025

Beyond Face Swapping: A Diffusion-Based Digital Human Benchmark for Multimodal Deepfake Detection.

Jiaxin Liu, Jia Wang, Saihui Hou, Min Ren, Huijia Wu, Zhaofeng He

CoRR, May, 2025

Can large language models independently complete tasks? A dynamic evaluation framework for multi-turn task planning and completion.

Jun Gao, Junlin Cui, Huijia Wu, Liuyu Xiang, Han Zhao, Xiangang Li, Meng Fang, Yaodong Yang, Zhaofeng He

Neurocomputing, 2025

Memory-Constrained DiskANN: Efficient Approximate Nearest Neighbor Search Under Resource Constraints.

Yuhang Lou, Linyun Ma, Kun Luo, Yan Ruan, Huijia Wu, Minhua Lu, Rui Mao

Proceedings of the Similarity Search and Applications - 18th International Conference, 2025

A*-Thought: Efficient Reasoning via Bidirectional Compression for Low-Resource Settings.

Xiaoang Xu, Shuo Wang, Xu Han, Zhenghao Liu, Huijia Wu, Peipei Li, Zhiyuan Liu, Maosong Sun, Zhaofeng He

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

FoodWeight1.4M: A Large-scale Multi-modal Dataset for Weight Estimation.

Lu Yuan, Zhenbo Xu, Dehua Ma, Jinghan Yang, Liuyu Xiang, Huijia Wu, Zhaofeng He

Proceedings of the IEEE International Conference on Multimedia and Expo, 2025

Eye Movements as Images: A Multimodal Framework for Eye Movements Representation.

Dongsen Zhang, Peipei Li, Zekun Li, Yiwei Ru, Huijia Wu, Zhaofeng He

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

Improving Food Recognition with Retrieval-Augmented and Domain-Adaptive LVLMs.

Dehua Ma, Zhenbo Xu, Tianshun Xing, Lu Yuan, Jinghan Yang, Huijia Wu, Ming Lei, Zhaofeng He

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

SecDecoding: Steerable Decoding for Safer LLM Generation.

Jiayou Wang, Rundong Liu, Yue Hu, Huijia Wu, Zhaofeng He

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

Select-Then-Decompose: From Empirical Analysis to Adaptive Selection Strategy for Task Decomposition in Large Language Models.

Shuodi Liu, Yingzhuo Liu, Zi Wang, Yusheng Wang, Huijia Wu, Liuyu Xiang, Zhaofeng He

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

Psyche-Wave: Fusing Vector-Quantized Morphology and LLM-Inferred Semantics from Millimeter-Wave SCG for Psychological State Decoding.

Yiwei Ru, Zhenbo Xu, Yanlin Xu, Min Ren, Huijia Wu, Zhaofeng He, Zhenan Sun

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2025

2024

Rethinking Class-Incremental Learning from a Dynamic Imbalanced Learning Perspective.

Leyuan Wang, Liuyu Xiang, Yunlong Wang, Huijia Wu, Zhaofeng He

CoRR, 2024

Dynamic Generation of Personalities with Large Language Models.

Jianzhi Liu, Hexiang Gu, Tianyu Zheng, Liuyu Xiang, Huijia Wu, Jie Fu, Zhaofeng He

CoRR, 2024

HyperMoE: Paying Attention to Unselected Experts in Mixture of Experts via Dynamic Transfer.

Hao Zhao, Zihan Qiu, Huijia Wu, Zili Wang, Zhaofeng He, Jie Fu

CoRR, 2024

SafeLLMs: A Benchmark for Secure Bilingual Evaluation of Large Language Models.

Wenhan Liang, Huijia Wu, Jun Gao, Yuhu Shang, Zhaofeng He

Proceedings of the Natural Language Processing and Chinese Computing, 2024

DualActNet: Exploiting SlowFast Architecture for Micro-action Recognition.

Churan Yu, Yiwei Ru, Zhenbo Xu, Huijia Wu, Hujiang Yang, Zhaofeng He

Proceedings of the Biometric Recognition - 18th Chinese Conference, 2024

Reading Preference Analysis Through Eye-Tracking and Large Language Models.

Shuangshuang Ying, Dongsen Zhang, Huijia Wu, Churan Yu, Yongji Liu, Zhaofeng He

Proceedings of the Biometric Recognition - 18th Chinese Conference, 2024

HyperMoE: Towards Better Mixture of Experts via Transferring Among Experts.

Hao Zhao, Zihan Qiu, Huijia Wu, Zili Wang, Zhaofeng He, Jie Fu

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

An Adaptive Prompt Generation Framework for Task-oriented Dialogue System.

Jun Gao, Liuyu Xiang, Huijia Wu, Han Zhao, Yiqi Tong, Zhaofeng He

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

2021

Improved AODV Routing Protocol Based on Multi-objective Simulated Annealing Algorithm.

Huijia Wu, Wenhong Wei, Qingxia Li

Proceedings of the Bio-Inspired Computing: Theories and Applications, 2021

2017

Shortcut Sequence Tagging.

Huijia Wu, Jiajun Zhang, Chengqing Zong

Proceedings of the Natural Language Processing and Chinese Computing, 2017

Multichannel LSTM-CRF for Named Entity Recognition in Chinese Social Media.

Chuanhai Dong, Huijia Wu, Jiajun Zhang, Chengqing Zong

Proceedings of the Chinese Computational Linguistics and Natural Language Processing Based on Naturally Annotated Big Data, 2017

A Dynamic Window Neural Network for CCG Supertagging.

Huijia Wu, Jiajun Zhang, Chengqing Zong

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

An Empirical Exploration of Skip Connections for Sequential Tagging.

Huijia Wu, Jiajun Zhang, Chengqing Zong

Proceedings of the COLING 2016, 2016

2014

Generative CCG Parsing with OOV Prediction.

Huijia Wu

Proceedings of The Third CIPS-SIGHAN Joint Conference on Chinese Language Processing, 2014