Generative CCG Parsing with OOV Prediction. - Huijia Wu (CIPS-SIGHAN, 2014)

An Empirical Exploration of Skip Connections for Sequential Tagging. - Huijia Wu; Jiajun Zhang 001; Chengqing Zong (COLING, 2016)

A Dynamic Window Neural Network for CCG Supertagging. - Huijia Wu; Jiajun Zhang 001; Chengqing Zong (AAAI, 2017)

Multichannel LSTM-CRF for Named Entity Recognition in Chinese Social Media. - Chuanhai Dong; Huijia Wu; Jiajun Zhang 001; Chengqing Zong (CCL, 2017)

Shortcut Sequence Tagging. - Huijia Wu; Jiajun Zhang 001; Chengqing Zong (NLPCC, 2017)

Improved AODV Routing Protocol Based on Multi-objective Simulated Annealing Algorithm. - Huijia Wu; Wenhong Wei; Qingxia Li (BIC-TA (1), 2021)

An Adaptive Prompt Generation Framework for Task-oriented Dialogue System. - Jun Gao; Liuyu Xiang; Huijia Wu; Han Zhao; Yiqi Tong; Zhaofeng He (EMNLP (Findings), 2023)

HyperMoE: Towards Better Mixture of Experts via Transferring Among Experts. - Hao Zhao; Zihan Qiu; Huijia Wu; Zili Wang; Zhaofeng He; Jie Fu 001 (ACL (1), 2024)

Reading Preference Analysis Through Eye-Tracking and Large Language Models. - Shuangshuang Ying; Dongsen Zhang; Huijia Wu; Churan Yu; Yongji Liu; Zhaofeng He (CCBR (2), 2024)

DualActNet: Exploiting SlowFast Architecture for Micro-action Recognition. - Churan Yu; Yiwei Ru; Zhenbo Xu; Huijia Wu; Hujiang Yang; Zhaofeng He (CCBR (2), 2024)

SafeLLMs: A Benchmark for Secure Bilingual Evaluation of Large Language Models. - Wenhan Liang; Huijia Wu; Jun Gao; Yuhu Shang; Zhaofeng He (NLPCC (2), 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 001 (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)

Rethinking Class-Incremental Learning from a Dynamic Imbalanced Learning Perspective. - Leyuan Wang; Liuyu Xiang; Yunlong Wang; Huijia Wu; Zhaofeng He (CoRR, 2024)

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 (ICASSP, 2025)

Eye Movements as Images: A Multimodal Framework for Eye Movements Representation. - Dongsen Zhang; Peipei Li; Zekun Li 008; Yiwei Ru; Huijia Wu; Zhaofeng He (ICASSP, 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 001; Zhaofeng He (Neurocomputing, 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, 2025)

A*-Thought: Efficient Reasoning via Bidirectional Compression for Low-Resource Settings. - Xiaoang Xu; Shuo Wang 013; Xu Han 007; Zhenghao Liu 001; Huijia Wu; Peipei Li; Zhiyuan Liu 001; Maosong Sun 001; Zhaofeng He (CoRR, 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, 2025)