| 2026 | ACL | Faithful Persona Steering under Incongruity via Dual-Stream Refinement. | Yu-An Chu, Jen-Ren Pong, Chia-Yao Yeh, Meng-Fen Chiang |
| 2026 | ACL | Evo-PI: Aligning Medical Reasoning via Evolving Principle-Guided Supervision. | Xianda Zheng, Huan Gao, Meng-Fen Chiang, Michael J. Witbrock, Kaiqi Zhao, Shangyang Li |
| 2026 | ACL | Disentangling Reasoning Logic to Resolve Explicit Knowledge Conflicts. | Xianda Zheng, Zijian Huang, Meng-Fen Chiang, Jiamou Liu, Yuan Fang, Michael J. Witbrock, Kaiqi Zhao |
| 2026 | WWW | HyperRAG: Reasoning N-ary Facts over Hypergraphs for Retrieval Augmented Generation. | Wen-Sheng Lien, Yu-Kai Chan, Hao-Lung Hsiao, Bo-Kai Ruan, Meng-Fen Chiang, Chien-An Chen, Yi-Ren Yeh, Hong-Han Shuai |
| 2026 | WWW | Relation-Aware Multimodal Analogical Reasoning with Modality Fingerprints and Adaptive Gating. | Ruofan Wang, Zijian Huang, Qiqi Wang, Yuchen Su, Robert Amor, Kaiqi Zhao, Meng-Fen Chiang |
| 2025 | ACL | S-RAG: A Novel Audit Framework for Detecting Unauthorized Use of Personal Data in RAG Systems. | Zhirui Zeng, Jiamou Liu, Meng-Fen Chiang, Jialing He, Zijian Zhang |
| 2025 | AISTATS | A Shapley-value Guided Rationale Editor for Rationale Learning. | Zixin Kuang, Meng-Fen Chiang, Wang-Chien Lee |
| 2025 | ICDM | MREF: Metric-Based Instance Re-Weighting for Rationale Enhancement. | Yibo Huang, Zixin Kuang, Meng-Fen Chiang, Wang-Chien Lee |
| 2024 | COLING | Evidence-guided Inference for Neutralized Zero-shot Transfer. | Xiaotong Feng, Meng-Fen Chiang, Wang-Chien Lee, Zixin Kuang |
| 2022 | KDD | LinE: Logical Query Reasoning over Hierarchical Knowledge Graphs. | Zijian Huang, Meng-Fen Chiang, Wang-Chien Lee |
| 2021 | IJCNN | Cost-Effective Knowledge Graph Reasoning for Complex Factoid Questions. | Xia Yang, Meng-Fen Chiang, Wang-Chien Lee, Yi Chang |
| 2020 | DSAA | CO2Vec: Embeddings of Co-Ordered Networks Based on Mutual Reinforcement. | Meng-Fen Chiang, Ee-Peng Lim, Wang-Chien Lee, Philips Kokoh Prasetyo |
| 2019 | SIGIR | One-Class Order Embedding for Dependency Relation Prediction. | Meng-Fen Chiang, Ee-Peng Lim, Wang-Chien Lee, Xavier Jayaraj Siddarth Ashok, Philips Kokoh Prasetyo |
| 2018 | CIKM | Inferring Trip Occupancies in the Rise of Ride-Hailing Services. | Meng-Fen Chiang, Ee-Peng Lim, Wang-Chien Lee, Tuan-Anh Hoang |
| 2018 | CIKM | Traffic-Cascade: Mining and Visualizing Lifecycles of Traffic Congestion Events Using Public Bus Trajectories. | Agus Trisnajaya Kwee, Meng-Fen Chiang, Philips Kokoh Prasetyo, Ee-Peng Lim |
| 2014 | DSAA | Inferring potential users in mobile social networks. | Tsung-Hao Hsu, Chien-Cheng Chen, Meng-Fen Chiang, Kuo-Wei Hsu, Wen-Chih Peng |
| 2014 | MDM | Mining Mobility Evolution from Check-In Datasets. | Meng-Fen Chiang, Chien-Cheng Chen, Wen-Chih Peng, Philip S. Yu |
| 2014 | PAKDD | Dynamic Circle Recommendation: A Probabilistic Model. | Fan-Kai Chou, Meng-Fen Chiang, Yi-Cheng Chen, Wen-Chih Peng |
| 2013 | KDD | Inferring distant-time location in low-sampling-rate trajectories. | Meng-Fen Chiang, Yung-Hsiang Lin, Wen-Chih Peng, Philip S. Yu |
| 2013 | MDM | Distant-Time Location Prediction in Low-Sampling-Rate Trajectories. | Meng-Fen Chiang, Wen-Yuan Zhu, Wen-Chih Peng, Philip S. Yu |
| 2013 | MDM | A Temporal Probabilistic Model for Dynamic Circle Recommendation in Mobile Applications. | Fan-Kai Chou, Meng-Fen Chiang, Wen-Chih Peng |
| 2012 | GRC | Inferring social relationships across social networks for viral marketing. | Tsung-Hao Hsu, Meng-Fen Chiang, Wen-Chih Peng |
| 2011 | APNOMS | An event-based POI service from microblogs. | Chun-Shuo Lin, Meng-Fen Chiang, Wen-Chih Peng, Chien-Cheng Chen |
| 2010 | WWW | Parallelizing Random Walk with Restart for large-scale query recommendation. | Meng-Fen Chiang, Tsung-Wei Wang, Wen-Chih Peng |
| 2008 | ICDE | Discovering popular co-cited communities in blogspaces. | Meng-Fen Chiang, Wen-Chih Peng, Chia-Hao Lo |