| 2025 | COLING | TaiwanVQA: A Benchmark for Visual Question Answering for Taiwanese Daily Life. | Hsin-Yi Hsieh, Shang-Wei Liu, Chang-Chih Meng, Shuo-Yueh Lin, Chien-Hua Chen, Hung-Ju Lin, Hen-Hsen Huang, I-Chen Wu |
| 2025 | ICAART | An Efficient Method for Assessing the Strength of Mahjong Programs. | Shih-Chieh Tang, Jr-Chang Chen, I-Chen Wu |
| 2024 | AAAI | PPO-Clip Attains Global Optimality: Towards Deeper Understandings of Clipping. | Nai-Chieh Huang, Ping-Chun Hsieh, Kuo-Hao Ho, I-Chen Wu |
| 2024 | IROS | Gradient-based Regularization for Action Smoothness in Robotic Control with Reinforcement Learning. | I Lee, Hoang-Giang Cao, Cong-Tinh Dao, Yu-Cheng Chen, I-Chen Wu |
| 2023 | ACML | Towards Human-Like RL: Taming Non-Naturalistic Behavior in Deep RL via Adaptive Behavioral Costs in 3D Games. | Kuo-Hao Ho, Ping-Chun Hsieh, Chiu-Chou Lin, You-Ren Luo, Feng-Jian Wang, I-Chen Wu |
| 2023 | ICRA | Learning Sim-to-Real Dense Object Descriptors for Robotic Manipulation. | Hoang-Giang Cao, Weihao Zeng, I-Chen Wu |
| 2023 | IROS | Image-based Regularization for Action Smoothness in Autonomous Miniature Racing Car with Deep Reinforcement Learning. | Hoang-Giang Cao, I Lee, Bo-Jiun Hsu, Zheng-Yi Lee, Yu-Wei Shih, Hsueh-Cheng Wang, I-Chen Wu |
| 2022 | AAAI | A Novel Approach to Solving Goal-Achieving Problems for Board Games. | Chung-Chin Shih, Ti-Rong Wu, Ting-Han Wei, I-Chen Wu |
| 2022 | ICLR | AlphaZero-based Proof Cost Network to Aid Game Solving. | Ti-Rong Wu, Chung-Chin Shih, Ting-Han Wei, Meng-Yu Tsai, Wei-Yuan Hsu, I-Chen Wu |
| 2022 | ICRA | Reinforcement Learning for Picking Cluttered General Objects with Dense Object Descriptors. | Hoang-Giang Cao, Weihao Zeng, I-Chen Wu |
| 2021 | AAAI | Learning to Stop: Dynamic Simulation Monte-Carlo Tree Search. | Li-Cheng Lan, Ti-Rong Wu, I-Chen Wu, Cho-Jui Hsieh |
| 2021 | UAI | An unsupervised video game playstyle metric via state discretization. | Chiu-Chou Lin, Wei-Chen Chiu, I-Chen Wu |
| 2020 | AAAI | Accelerating and Improving AlphaZero Using Population Based Training. | Ti-Rong Wu, Ting-Han Wei, I-Chen Wu |
| 2019 | AAAI | On Strength Adjustment for MCTS-Based Programs. | I-Chen Wu, Ti-Rong Wu, An-Jen Liu, Hung Guei, Tinghan Wei |
| 2019 | IJCAI | Multiple Policy Value Monte Carlo Tree Search. | Li-Cheng Lan, Wei Li, Ting-Han Wei, I-Chen Wu |
| 2019 | WACV | Stochastic Gradient Descent With Hyperbolic-Tangent Decay on Classification. | Bo Yang Hsueh, Wei Li, I-Chen Wu |
| 2014 | ECAI | Job-Level Algorithms for Connect6 Opening Position Analysis. | Ting-Han Wei, I-Chen Wu, Chao-Chin Liang, Bing-Tsung Chiang, Wen-Jie Tseng, Shi-Jim Yen, Chang-Shing Lee |
| 2014 | GRC | An improved differential evolution algorithm with priority calculation for unit commitment problem. | Shi-Jim Yen, Wei-Liang Chen, Jr-Chang Chen, Shun-chin Hsu, I-Chen Wu |
| 2005 | COMPSAC | A Web Data Extraction Description Language and Its Implementation. | I-Chen Wu, Jui-Yuan Su, Loon-Been Chen |
| 2005 | SEKE | On the Web Data Extraction Model. | I-Chen Wu, Jui-Yuan Su, Loon-Been Chen |
| 1998 | ICPADS | An Efficient Incremental Algorithm for Identifying Consistent Checkpoints. | Loon-Been Chen, I-Chen Wu |
| 1997 | COMPSAC | On the Complexity of the Minimum and Maximum Global Snapshot Problems. | Loon-Been Chen, I-Chen Wu |
| 1997 | ICPADS | Detection of Summative Global Predicates. | Loon-Been Chen, I-Chen Wu |
| 1991 | FOCS | Communication Complexity for Parallel Divide-and-Conquer | I-Chen Wu, H. T. Kung |