My name is Wei-Yao Wang. I am a research scientist in the Creative AI Lab at Sony, working on interactive multimodal models for content creation, spanning omni‑modal LLMs/embedders, video generation/editing, and agentic understanding. I received my Ph.D. and BS degrees from National Yang Ming Chiao Tung University and National Chiao Tung University in Taiwan respectively, advised by Prof. Wen-Chih Peng. During my academic journey, I served as a visiting researcher at the ScAi lab advised by Prof. Wei Wang at the University of California, Los Angeles. I was a research intern at Document AI in Microsoft in Seattle and Microsoft AI R&D Center in Taipei advised by Paul Hsu, working on low-resource field extractions from multi-modal documents with LLMs.

My research intersts include Interactive Omnimodal Models; Multimodal LLMs; LLM Agents; Multimodal Representation Learning; Video Generation & Understanding; and Creative AI; which has been published more than 40+ papers in international journals and major peer-reviewed conference proceedings (e.g., ICLR, NeurPS, ICML, CVPR, KDD, AAAI, ACL, EMNLP), including multiple best paper awards. I serve on the program committees of international conferences including ICLR, ICCV, AAAI, ACL ARR, KDD, IJCAI, CIKM, and PAKDD and workshop organizers (GenProCC@NeurIPS-25, IT4PSS@IJCAI23-24, SocialNLP@NAACL-22&TheWebConf-22).

I am also open to research collaboration. Please drop me an email if you are interested in.

Research Experience & Education

Experience Education
Sony Group Corporation

Research Scientist, Creative AI Lab

Tokyo, Japan Sep. 2024 – Present
Microsoft

Research Intern, Document AI

Advisor: Paul Hsu

Seattle, USA Sep. 2023 – Dec. 2023
University of California, Los Angeles

Visiting Researcher, Scalable Analytics Institute

Advisor: Prof. Wei Wang

Los Angeles, USA Mar. 2023 – Mar. 2024
Microsoft AI R&D Center

Research Intern, Document AI

Advisor: Paul Hsu

Taipei, Taiwan May 2022 – Nov. 2022
National Yang Ming Chiao Tung University

Ph.D., Institute of Computer Science and Engineering

Advisor: Prof. Wen-Chih Peng

Hsinchu, Taiwan Sep. 2020 – Mar. 2024
National Yang Ming Chiao Tung University

Ph.D. Researcher, Advanced Database System Laboratory

Advisor: Prof. Wen-Chih Peng

Hsinchu, Taiwan Jul. 2020 – Mar. 2024
Precision Sport Science

Project Lead & Research Scientist, Coach AI in Badminton

project

Hsinchu, Taiwan Jun. 2018 – Jun. 2022
National Chiao Tung University

B.S., Department of Computer Science

Hsinchu, Taiwan Sep. 2016 – Jun. 2020

Publications

Click a paper to expand details. denotes papers I mentored.

Preprint Neural Audio-Visual Chords: A Multimodal Framework for Temporally and Spatially Aligned Sound Generation from Visual Cues Christian Simon, Wei-Yao Wang, Dongseok Shim, Kazuki Shimada, Masato Ishii, Takashi Shibuya, Shusuke Takahashi, Yuki Mitsufuji
Preprint Omni-Interactive Universal Embedder Wei-Yao Wang, Kazuya Tateishi, Shuyang Cui, Christian Simon, Takashi Shibuya, Shusuke Takahashi, Yuki Mitsufuji preprint
EMNLP 2026 MCA: Modality Composition Awareness for Robust Composed Multimodal Retrieval Qiyu Wu, Shuyang Cui, Satoshi Hayakawa, Wei-Yao Wang, Hiromi Wakaki, Yuki Mitsufuji preprint
KDD 2026 WebGen-V Bench: Structured Representation for Enhancing Visual Design in LLM-based Web Generation and Evaluation Kuang-Da Wang, Zhao Wang, Wei-Yao Wang, Yotaro Shimose, Shingo Takamatsu preprint
ICML 2026 Agentic Model Predictive Questioning Control in Visual Design Kuang-Da Wang, Zhao Wang, Wei-Yao Wang, Yotaro Shimose, Jaechang Kim, Shingo Takamatsu paper
ICML 2026 SF-Mamba: Rethinking State Space Model for Vision Masakazu Yoshimura, Teruaki Hayashi, Yuki Hoshino, Wei-Yao Wang, Takeshi Ohashi paper
ICML 2026 Seeing is Understanding: Unlocking Causal Attention into Modality-Mutual Attention for Multimodal LLMs Wei-Yao Wang, Zhao Wang, Helen Suzuki, Yoshiyuki Kobayashi paper
ACL 2026 Findings NEWSAGENT: Benchmarking Multimodal Agents as Journalists with Real-World Newswriting Tasks Yen-Che Chien, Kuang-Da Wang, Wei-Yao Wang, Wen-Chih Peng paper
IEEE TAI 2026 Talk Structurally, Act Hierarchically: A Collaborative Framework for LLM Multi-Agent Systems Zhao Wang, Sota Moriyama, Wei-Yao Wang, Briti Gangopadhyay, Shingo Takamatsu preprint
CVPR 2026 Echoes Over Time: Unlocking Length Generalization in Video-to-Audio Generation Models Christian Simon, Masato Ishii, Wei-Yao Wang, Koichi Saito, Akio Hayakawa, Dongseok Shim, Zhi Zhong, Shuyang Cui, Takashi Shibuya, Shusuke Takahashi, Yuki Mitsufuji paper
ICLR 2026 VIRTUE: Visual-Interactive Text-Image Universal Embedder Wei-Yao Wang, Kazuya Tateishi, Qiyu Wu, Shusuke Takahashi, Yuki Mitsufuji paper website
WSDM 2026 Adapting to Evolving Data: Test-Time Expert Aggregation for Imbalanced Tabular Regression Yung-Chien Wang, Kuang-Da Wang, Wei-Yao Wang, Wen-Chih Peng paper
ACL SRW 2025 Oral Tree-of-Report: Table-to-Text Generation for Sports Game Reports with Tree-Structured Prompting Shang-Hsuan Chiang, Tsan-Tsung Yang, Kuang-Da Wang, Wei-Yao Wang, An-Zi Yen, Wen-Chih Peng
ACM TIST 2025 LLM4TS: Aligning Pre-Trained LLMs as Data-Efficient Time-Series Forecasters Ching Chang, Wei-Yao Wang, Wen-Chih Peng, Tien-Fu Chen paper
PAKDD 2025 ShuttleSHAP: A Turn-Based Feature Attribution Approach for Analyzing Forecasting Models in Badminton Wei-Yao Wang, Wen-Chih Peng, Wei Wang, Philip Yu preprint
AAAI 2025 APAR: Modeling Irregular Target Functions in Tabular Regression via Arithmetic-Aware Pre-Training and Adaptive-Regularized Fine-Tuning Hong-Wei Wu, Wei-Yao Wang, Kuang-Da Wang, Wen-Chih Peng paper
ACML 2024 A Survey on Self-Supervised Learning for Non-Sequential Tabular Data Wei-Yao Wang, Wei-Wei Du, Derek Xu, Wei Wang, Wen-Chih Peng paper
CIKM 2024 Professional Basketball Player Behavior Synthesis via Planning with Diffusion Wei-Yao Wang*, Xiusi Chen*, Ziniu Hu, David Reynoso, Kun Jin, Mingyan Liu, P. Jeffrey Brantingham, Wei Wang paper
ECML-PKDD 2024 Offline Imitation of Badminton Player Behavior via Experiential Contexts and Brownian Motion Kuang-Da Wang, Wei-Yao Wang, Ping-Chun Hsieh, Wen-Chih Peng paper
IJCAI Demo 2024 Benchmarking Stroke Forecasting with Stroke-Level Badminton Dataset Wei-Yao Wang, Wei-Wei Du, Wen-Chih Peng paper
ICDE 2024 TimeDRL: Disentangled Representation Learning for Multivariate Time-Series Ching Chang, Chiao-Tung Chan, Wei-Yao Wang, Wen-Chih Peng, Tien-Fu Chen paper
PAKDD 2024 Look Around! A Neighbor Relation Graph Learning Framework for Real Estate Appraisal Chih-Chia Li, Wei-Yao Wang, Wei-Wei Du, Wen-Chih Peng paper
EACL 2024 Style-News: Incorporating Stylized News Generation and Adversarial Verification for Neural Fake News Detection Wei-Yao Wang, Yu-Chieh Chang, Wen-Chih Peng paper
AAAI 2024 Root Cause Analysis In Microservice Using Neural Granger Causal Discovery Zheng-Ming Lin, Ching Chang, Wei-Yao Wang, Kuang-Da Wang, Wen-Chih Peng paper
AAAI 2024 SeGA: Preference-Aware Self-Contrastive Learning with Prompts for Anomalous User Detection on Twitter Ying-Ying Chang, Wei-Yao Wang, Wen-Chih Peng paper
AAAI Demo 2024 The CoachAI Badminton Environment: Bridging the Gap Between a Reinforcement Learning Environment and Real-World Badminton Games Kuang-Da Wang, Yu-Tse Chen, Yu-Heng Lin, Wei-Yao Wang, Wen-Chih Peng paper
AAAI 2024 The CoachAI Badminton Environment: A Novel Reinforcement Learning Environment with Realistic Opponents (Student Abstract) Kuang-Da Wang, Wei-Yao Wang, Yu-Tse Chen, Yu-Heng Lin, Wen-Chih Peng paper
EMNLP Findings 2023 RSVP: Customer Intent Detection via Agent Response Contrastive and Generative Pre-Training Yu-Chien Tang, Wei-Yao Wang, An-Zi Yen, Wen-Chih Peng paper
CIKM 2023 DoRA: Domain-Based Self-Supervised Learning Framework for Low-Resource Real Estate Appraisal Wei-Wei Du, Wei-Yao Wang, Wen-Chih Peng paper
KDD 2023 ShuttleSet: A Human-Annotated Stroke-Level Singles Dataset for Badminton Tactical Analysis Wei-Yao Wang, Yung Chang Huang, Tsi-Ui Ik, Wen-Chih Peng paper
AAAI 2023 Where Will Players Move Next? Dynamic Graphs and Hierarchical Fusion for Movement Forecasting in Badminton Kai-Shiang Chang, Wei-Yao Wang, Wen-Chih Peng paper
AAAI 2023 A Reinforcement Learning Badminton Environment for Simulating Player Tactics (Student Abstract) Li-Chun Huang, Nai-Zen Hseuh, Yen-Che Chien, Wei-Yao Wang, Kuang-Da Wang, Wen-Chih Peng paper
CIKM 2022 Modeling Turn-Based Sequences for Player Tactic Applications in Badminton Matches Wei-Yao Wang paper
ACM TIST 2022 How Is the Stroke? Inferring Shot Influence in Badminton Matches via Long Short-Term Dependencies Wei-Yao Wang, Teng-Fong Chan, Wen-Chih Peng, Hui-Kuo Yang, Chih-Chuan Wang, Yao-Chung Fan paper
AAAI 2022 ShuttleNet: Position-Aware Fusion of Rally Progress and Player Styles for Stroke Forecasting in Badminton Wei-Yao Wang, Hong-Han Shuai, Kai-Shiang Chang, Wen-Chih Peng paper
ICDM 2021 Exploring the Long Short-Term Dependencies to Infer Shot Influence in Badminton Matches Wei-Yao Wang, Teng-Fong Chan, Hui-Kuo Yang, Chih-Chuan Wang, Yao-Chung Fan, Wen-Chih Peng paper
PE Journal 2020 Badminton Coach AI: A badminton match data analysis platform based on deep learning Wei-Yao Wang, Kai-Shiang Chang, Teng-Fong Chen, Chih-Chuan Wang, Wen-Chih Peng, Chih-Wei Yi paper
NeurIPS Workshop 2024 Align and Fine-Tune: Enhancing LLMs for Time-Series Forecasting Ching Chang, Wei-Yao Wang, Wen-Chih Peng, Tien-Fu Chen, Sagar Samtani paper
NeurIPS Workshop 2024 Self-Supervised Learning of Disentangled Representations for Multivariate Time-Series Ching Chang, Chan Chiao-Tung, Wei-Yao Wang, Wen-Chih Peng, Tien-Fu Chen paper
KDD Workshop 2023 The CoachAI Badminton Environment: Improving Badminton Player Tactics with A Novel Reinforcement Learning Environment Kuang-Da Wang, Yu-Tse Chen, Yu-Heng Lin, Wei-Yao Wang, Wen-Chih Peng
ICML Workshop 2023 Generating Turn-Based Player Behavior via Experience from Demonstrations Kuang-Da Wang, Wei-Yao Wang, Ping-Chun Hsieh, Wen-Chih Peng paper
AAAI Workshop 2023 Best Paper Look Around! A Neighbor Relation Graph Learning Framework for Real Estate Appraisal Chih-Chia Li, Wei-Yao Wang, Wei-Wei Du, Wen-Chih Peng paper
AAAI Workshop 2023 Team Triple-Check at Factify 2: Parameter-Efficient Large Foundation Models with Feature Representations for Multi-Modal Fact Verification Wei-Wei Du, Hong-Wei Wu, Wei-Yao Wang, Wen-Chih Peng paper
CIKM Workshop 2022 Track2Vec: Fairness Music Recommendation with a GPU-Free Customizable-Driven Framework Wei-Wei Du, Wei-Yao Wang, Wen-Chih Peng paper
CIKM Workshop 2022 RecFormer: Personalized Temporal-Aware Transformer for Fair Music Recommendation Wei-Yao Wang, Wei-Wei Du, Wen-Chih Peng paper
NAACL Workshop 2022 Proceedings of the Tenth International Workshop on Natural Language Processing for Social Media (SocialNLP 2022) Lun-Wei Ku, Cheng-Te Li, Yu-Che Tsai, Wei-Yao Wang paper
ACL Workshop 2022 NYCU_TWD@LT-EDI-ACL2022: Ensemble Models with VADER and Contrastive Learning for Detecting Signs of Depression from Social Media Wei-Yao Wang*, Yu-Chien Tang*, Wei-Wei Du*, Wen-Chih Peng paper
WWW Workshop 2022 SocialNLP'22: 10th International Workshop on Natural Language Processing for Social Media Lun-Wei Ku, Cheng-Te Li, Yu-Che Tsai, Wei-Yao Wang paper
WWW Workshop 2022 KAHAN: Knowledge-Aware Hierarchical Attention Network for Fake News Detection on Social Media Yu-Wun Tseng, Hui-Kuo Yang, Wei-Yao Wang, Wen-Chih Peng paper
AAAI Workshop 2022 Best Paper Team Yao at Factify 2022: Utilizing Pre-trained Models and Co-attention Networks for Multi-Modal Fact Verification Wei-Yao Wang, Wen-Chih Peng paper

Academic Services

Conference (Senior) Program Committee
ICML'26 CVPR'26 ICCV'25 ICLR (25-now) KDD (25-now) ACL ARR (22-now) AAAI (22-25) IJCAI (23-25) ISACE'23 LT-EDI-ACL 2022 @ ACL'22
Organizer
Student Volunteer
IJCAI'23 KDD'23

Honors and Awards

Gold Reviewer May 2026
ICML 2026
Honorary Membership Apr. 2025
The Phi Tau Phi Scholastic Honor Society
Best Dissertation Award Mar. 2025
Institute of Information & Computing Machinery
Top-10% Outstanding Reviewer Dec. 2024
KDD 2025
Best Dissertation Award Dec. 2024
Taiwanese Association for Artificial Intelligence
Sports Science Research Award Sep. 2023
Sport Administration, Ministry of Education
KDD Student Scholarship Aug. 2023
ACM
Top Research of AI and Information Technology Scholarship Aug. 2023
Appier
21st Y.Z. Hsu Science Paper Award May 2023
Far Eastern Y.Z. Hsu Foundation
AAAI Student Scholarship Feb. 2023
AAAI
Google Conference Scholarships Jan. 2023
Google
AAAI Student Scholarships Jan. 2023
AAAI
Google Conference Scholarships Mar. 2022
Google
Best Paper Award Feb. 2022
AAAI DeFactify Workshop
AAAI Student Scholarships Feb. 2022
AAAI
Top Research of AI and Information Technology Scholarship Jan. 2022
Appier
The Yin Zhi Tong Memorial Scholarship Aug. 2019
National Yang Ming Chiao Tung University
College Student Research Scholarship Jul. 2019
Ministry of Science and Technology

Competition Awards

1st Place Factify 2.0 Challenge Dec. 2022
De-Factify @ AAAI 2023 Workshop code
4th Place Rounded Evaluation of Recommender Systems Oct. 2022
EvalRS @ CIKM'22 Workshop
2nd Place Detecting Signs of Depression from Social Media Text Feb. 2022
LT-EDI @ ACL 2022 Workshop code
5th Place Best Paper Factify Challenge Nov. 2021
De-Factify @ AAAI 2022 Workshop code
3rd Place National Judges Award Legal-Tech Hackathon 2021 Sep. 2021
1st Place Fake-EmoReact Challenge Jun. 2021
SocialNLP @ NAACL 2021 Workshop code
Bronze Medal Riiid Answer Correctness Prediction Challenge Jan. 2021
AAAI 2021 Workshop code
3rd Place EmotionGIF Challenge Jun. 2020
SocialNLP @ ACL 2020 Workshop report code
Excellent Award Research Project Competition Dec. 2019
National Chiao Tung University