Different Contexts Lead to Different Word Embeddings. - Wenpeng Hu; Jiajun Zhang; Nan Zheng (COLING, 2016)

Neural System Combination for Machine Translation. - Long Zhou; Wenpeng Hu; Jiajun Zhang 001; Chengqing Zong (ACL (2), 2017)

Aspect-based Question Generation. - Wenpeng Hu; Bing Liu 001; Jinwen Ma; Dongyan Zhao 001; Rui Yan 001 (ICLR (Workshop), 2018)

One Time of Interaction May Not Be Enough: Go Deep with an Interaction-over-Interaction Network for Response Selection in Dialogues. - Chongyang Tao; Wei Wu 014; Can Xu; Wenpeng Hu; Dongyan Zhao 001; Rui Yan 001 (ACL (1), 2019)

Query-bag Matching with Mutual Coverage for Information-seeking Conversations in E-commerce. - Zhenxin Fu; Feng Ji; Wenpeng Hu; Wei Zhou; Dongyan Zhao 001; Haiqing Chen; Rui Yan 001 (CIKM, 2019)

Towards Effective and Interpretable Person-Job Fitting. - Ran Le; Wenpeng Hu; Yang Song 021; Tao Zhang 070; Dongyan Zhao 001; Rui Yan 001 (CIKM, 2019)

Modeling Personalization in Continuous Space for Response Generation via Augmented Wasserstein Autoencoders. - Zhangming Chan; Juntao Li; Xiaopeng Yang; Xiuying Chen; Wenpeng Hu; Dongyan Zhao 001; Rui Yan 001 (EMNLP/IJCNLP (1), 2019)

Who Is Speaking to Whom? Learning to Identify Utterance Addressee in Multi-Party Conversations. - Ran Le; Wenpeng Hu; Mingyue Shang; Zhenjun You; Lidong Bing; Dongyan Zhao 001; Rui Yan 001 (EMNLP/IJCNLP (1), 2019)

Overcoming Catastrophic Forgetting for Continual Learning via Model Adaptation. - Wenpeng Hu; Zhou Lin; Bing Liu 001; Chongyang Tao; Zhengwei Tao; Jinwen Ma; Dongyan Zhao 001; Rui Yan 001 (ICLR (Poster), 2019)

GSN: A Graph-Structured Network for Multi-Party Dialogues. - Wenpeng Hu; Zhangming Chan; Bing Liu 001; Dongyan Zhao 001; Jinwen Ma; Rui Yan 001 (IJCAI, 2019)

FlexNER: A Flexible LSTM-CNN Stack Framework for Named Entity Recognition. - Hongyin Zhu; Wenpeng Hu; Yi Zeng 001 (NLPCC (2), 2019)

Multi-Representation Fusion Network for Multi-Turn Response Selection in Retrieval-Based Chatbots. - Chongyang Tao; Wei Wu 014; Can Xu; Wenpeng Hu; Dongyan Zhao 001; Rui Yan 001 (WSDM, 2019)

Transformation of Dense and Sparse Text Representations. - Wenpeng Hu; Mengyu Wang 002; Bing Liu 001; Feng Ji; Haiqing Chen; Dongyan Zhao 001; Jinwen Ma; Rui Yan 001 (CoRR, 2019)

Feature Projection for Improved Text Classification. - Qi Qin; Wenpeng Hu; Bing Liu 001 (ACL, 2020)

Translation vs. Dialogue: A Comparative Analysis of Sequence-to-Sequence Modeling. - Wenpeng Hu; Ran Le; Bing Liu 001; Jinwen Ma; Dongyan Zhao 001; Rui Yan 001 (COLING, 2020)

Transformation of Dense and Sparse Text Representations. - Wenpeng Hu; Mengyu Wang 002; Bing Liu 001; Feng Ji; Jinwen Ma; Dongyan Zhao 001 (COLING, 2020)

Using the Past Knowledge to Improve Sentiment Classification. - Qi Qin; Wenpeng Hu; Bing Liu 001 (EMNLP (Findings), 2020)

HRN: A Holistic Approach to One Class Learning. - Wenpeng Hu; Mengyu Wang 002; Qi Qin; Jinwen Ma; Bing Liu 001 (NeurIPS, 2020)

Text Classification with Novelty Detection. - Qi Qin; Wenpeng Hu; Bing Liu 001 (CoRR, 2020)

Predictive Adversarial Learning from Positive and Unlabeled Data. - Wenpeng Hu; Ran Le; Bing Liu 001; Feng Ji; Jinwen Ma; Dongyan Zhao 001; Rui Yan 001 (AAAI, 2021)

Continual Learning by Using Information of Each Class Holistically. - Wenpeng Hu; Qi Qin; Mengyu Wang 002; Jinwen Ma; Bing Liu 001 (AAAI, 2021)

BNS: Building Network Structures Dynamically for Continual Learning. - Qi Qin; Wenpeng Hu; Han Peng; Dongyan Zhao 001; Bing Liu 001 (NeurIPS, 2021)

Adaptive Orthogonal Projection for Batch and Online Continual Learning. - Yiduo Guo; Wenpeng Hu; Dongyan Zhao 001; Bing Liu 001 (AAAI, 2022)

CMG: A Class-Mixed Generation Approach to Out-of-Distribution Detection. - Mengyu Wang 002; Yijia Shao; Haowei Lin; Wenpeng Hu; Bing Liu 001 (ECML/PKDD (4), 2022)

Improved Training of Deep Text Clustering. - Zonghao Yang; Wenpeng Hu; Yushan Tan; Zhunchen Luo (EMNLP (Findings), 2023)

EvEval: A Comprehensive Evaluation of Event Semantics for Large Language Models. - Zhengwei Tao; Zhi Jin; Xiaoying Bai; Haiyan Zhao 001; Yanlin Feng; Jia Li 012; Wenpeng Hu (CoRR, 2023)

REM: A Ranking-Based Automatic Evaluation Method for LLMs. - Jintao Yang; Yushan Tan; Wenpeng Hu; Zonghao Yang; Xian Zhou; Zhunchen Luo; Wei Luo (ICANN (5), 2024)

Context Compression and Extraction: Efficiency Inference of Large Language Models. - Junyao Zhou; Ruiqing Du; Yushan Tan; Jintao Yang; Zonghao Yang; Wei Luo; Zhunchen Luo; Xian Zhou; Wenpeng Hu (ICIC (LNAI 1), 2024)

Profiling Chinese Student Interpreters' Usage Intention of ChatGPT-assisted Translation by Q Methodology Based on Technology Acceptance Model. - Cui Cui; Juan Hu; Wenpeng Hu; Chenmeng Ye; Yan Cao 004 (ICIIP, 2024)

Exploring Instruction Feature Adaptation for Event Argument Extraction in Large Language Models. - Zonghao Yang; Jintao Yang; Yushan Tan; Changhai Tian; Junyao Zhou; Jun Ma; Wenpeng Hu; Zhunchen Luo; Wei Luo (IJCNN, 2024)

Instruct Large Language Models to Generate Scientific Literature Survey Step by Step. - Yuxuan Lai; Yupeng Wu; Yidan Wang; Wenpeng Hu; Chen Zheng (NLPCC (5), 2024)

LLM Assists Hypothesis Generation and Testing for Deliberative Questions. - Fuchun Wang; Xian Zhou; Wenpeng Hu; Zhunchen Luo; Wei Luo; Xiaoying Bai (NLPCC (2), 2024)

Unveiling the Potential of BERT-family: A New Recipe for Building Scalable, General and Competitive Large Language Models. - Yisheng Xiao; Juntao Li; Wenpeng Hu; Zhunchen Luo; Min Zhang (ACL (1), 2025)

AdaDARE-gamma: Balancing Stability and Plasticity in Multi-modal LLMs through Efficient Adaptation. - Jingyi Xie; Jintao Yang; Zhunchen Luo; Yunbo Cao; Qiang Gao; Mengyuan Zhang; Wenpeng Hu (CVPR, 2025)

LLaMA-MoT: A cost-effective framework for visual-linguistic instruction tuning based on multi-head adapters and chain-of-thought. - Yi Liang; Turdi Tohti; Wenpeng Hu; Tianwei Yan 001; Shaohuang Wang; Askar Hamdulla (Expert Syst. Appl., 2026)