Enlarging drug dictionary with semi-supervised learning for Drug Entity Recognition. - Donghuo Zeng; Chengjie Sun; Lei Lin 001; Bingquan Liu (BIBM, 2016)

LSTM-CRF for Drug-Named Entity Recognition. - Donghuo Zeng; Chengjie Sun; Lei Lin 001; Bingquan Liu (Entropy, 2017)

Deep Learning of Human Perception in Audio Event Classification. - Yi Yu 001; Samuel Beuret; Donghuo Zeng; Keizo Oyama (ISM, 2018)

Audio-Visual Embedding for Cross-Modal Music Video Retrieval through Supervised Deep CCA. - Donghuo Zeng; Yi Yu 001; Keizo Oyama (ISM, 2018)

Learning Joint Embedding for Cross-Modal Retrieval. - Donghuo Zeng; Keizo Oyama (ICDM Workshops, 2019)

Personalized Music Recommendation with Triplet Network. - Haoting Liang; Donghuo Zeng; Yi Yu 001; Keizo Oyama (CoRR, 2019)

Audio-Visual Embedding for Cross-Modal MusicVideo Retrieval through Supervised Deep CCA. - Donghuo Zeng; Yi Yu 001; Keizo Oyama (CoRR, 2019)

Learning Joint Embedding for Cross-Modal Retrieval. - Donghuo Zeng (CoRR, 2019)

Unsupervised Generative Adversarial Alignment Representation for Sheet music, Audio and Lyrics. - Donghuo Zeng; Yi Yu 001; Keizo Oyama (BigMM, 2020)

MTM Dataset for Joint Representation Learning among Sheet Music, Lyrics, and Musical Audio? - Donghuo Zeng; Yi Yu 001; Keizo Oyama (CoRR, 2020)

Deep Triplet Neural Networks with Cluster-CCA for Audio-Visual Cross-Modal Retrieval. - Donghuo Zeng; Yi Yu 001; Keizo Oyama (ACM Trans. Multim. Comput. Commun. Appl., 2020)

Deep Alignment Representation Learning for Multimodal Information Retrieval. - Donghuo Zeng (2020)

SHECS: A Local Smart Hands-free Elderly Care Support System on Smart AR Glasses with AI Technology. - Donghuo Zeng; Jianming Wu; Bo Yang; Tomohiro Obara; Akeri Okawa; Nobuko Iino; Gen Hattori; Ryoichi Kawada; Yasuhiro Takishima (ISM, 2021)

TV-watching Companion Robot Supported by Open-domain Chatbot "KACTUS". - Jianming Wu; Donghuo Zeng; Bo Yang; Gen Hattori; Yasuhiro Takishima; Yuta Hagio; Marina Kamimura; Yuta Hoshi; Yutaka Kaneko; Yusei Nishimoto (MUM, 2021)

Learning Explicit and Implicit Latent Common Spaces for Audio-Visual Cross-Modal Retrieval. - Donghuo Zeng; Jianming Wu; Gen Hattori; Yi Yu 001; Rong Xu (CoRR, 2021)

Complete Cross-triplet Loss in Label Space for Audio-visual Cross-modal Retrieval. - Donghuo Zeng; Yanan Wang 002; Jianming Wu; Kazushi Ikeda (ISM, 2022)

EmotiW 2023: Emotion Recognition in the Wild Challenge. - Abhinav Dhall; Monisha Singh; Roland Goecke; Tom Gedeon; Donghuo Zeng; Yanan Wang 002; Kazushi Ikeda (ICMI, 2023)

Do I Have Your Attention: A Large Scale Engagement Prediction Dataset and Baselines. - Monisha Singh; Ximi Hoque; Donghuo Zeng; Yanan Wang 002; Kazushi Ikeda; Abhinav Dhall (ICMI, 2023)

Triplet Loss with Curriculum Learning for Audio-Visual Retrieval. - Donghuo Zeng; Kazushi Ikeda (ISM, 2023)

VideoAdviser: Video Knowledge Distillation for Multimodal Transfer Learning. - Yanan Wang 002; Donghuo Zeng; Shinya Wada; Satoshi Kurihara (IEEE Access, 2023)

Topic-switch adapted Japanese Dialogue System based on PLATO-2. - Donghuo Zeng; Jianming Wu; Yanan Wang 002; Kazunori Matsumoto; Gen Hattori; Kazushi Ikeda (CoRR, 2023)

TV-watching partner robot: Analysis of User's Experience. - Donghuo Zeng; Jianming Wu; Gen Hattori; Yasuhiro Takishima (CoRR, 2023)

Two-Stage Triplet Loss Training with Curriculum Augmentation for Audio-Visual Retrieval. - Donghuo Zeng; Kazushi Ikeda (CoRR, 2023)

Learning Explicit and Implicit Dual Common Subspaces for Audio-visual Cross-modal Retrieval. - Donghuo Zeng; Jianming Wu; Gen Hattori; Rong Xu; Yi Yu 001 (ACM Trans. Multim. Comput. Commun. Appl., 2023)

Anchor-aware Deep Metric Learning for Audio-visual Retrieval. - Donghuo Zeng; Yanan Wang 002; Kazushi Ikeda; Yi Yu 001 (ICMR, 2024)

Identifying Latent State-Transition Processes for Individualized Reinforcement Learning. - Yuewen Sun; Biwei Huang; Yu Yao 005; Donghuo Zeng; Xinshuai Dong; Songyao Jin; Boyang Sun; Roberto Legaspi; Kazushi Ikeda; Peter Spirtes; Kun Zhang 001 (NeurIPS, 2024)

Counterfactual Reasoning Using Predicted Latent Personality Dimensions for Optimizing Persuasion Outcome. - Donghuo Zeng; Roberto Sebastian Legaspi; Yuewen Sun; Xinshuai Dong; Kazushi Ikeda; Peter Spirtes; Kun Zhang 001 (PERSUASIVE, 2024)

Multi-object event graph representation learning for Video Question Answering. - Yanan Wang 002; Shuichiro Haruta; Donghuo Zeng; Julio Vizcarra; Mori Kurokawa (CoRR, 2024)

Top-down Activity Representation Learning for Video Question Answering. - Yanan Wang 002; Shuichiro Haruta; Donghuo Zeng; Julio Vizcarra; Mori Kurokawa (CoRR, 2024)

Metric Learning with Progressive Self-Distillation for Audio-Visual Embedding Learning. - Donghuo Zeng; Kazushi Ikeda (ICASSP, 2025)

Generative Framework for Personalized Persuasion: Inferring Causal, Counterfactual, and Latent Knowledge. - Donghuo Zeng; Roberto Legaspi; Yuewen Sun; Xinshuai Dong; Kazushi Ikeda; Peter Spirtes; Kun Zhang 001 (UMAP, 2025)

Causal Discovery and Counterfactual Reasoning to Optimize Persuasive Dialogue Policies. - Donghuo Zeng; Roberto Legaspi; Yuewen Sun; Xinshuai Dong; Kazushi Ikeda; Peter Spirtes; Kun Zhang 001 (CoRR, 2025)