QoS-Aware Power Management for Energy Harvesting Wireless Sensor Network Utilizing Reinforcement Learning. - Roy Chaoming Hsu; Cheng-Ting Liu; Kuan-Chieh Wang; Wei-Ming Lee (CSE (2), 2009)

Implementation of a Medical Image File Accessing System on Cloud Computing. - Chao-Tung Yang; Lung-Teng Chen; Wei-Li Chou; Kuan-Chieh Wang (CSE, 2010)

A Multimode Shuffled Iterative Decoder Architecture for High-Rate RS-LDPC Codes. - Yeong-Luh Ueng; Chung-Jay Yang; Kuan-Chieh Wang; Chun-Jung Chen (IEEE Trans. Circuits Syst. I Regul. Pap., 2010)

Green Power Management with Dynamic Resource Allocation for Cloud Virtual Machines. - Chao-Tung Yang; Kuan-Chieh Wang; Hsiang-Yao Cheng; Cheng-Ta Kuo; William Cheng-Chung Chu (HPCC, 2011)

Implementation of a Green Power Management Algorithm for Virtual Machines on Cloud Computing. - Chao-Tung Yang; Kuan-Chieh Wang; Hsiang-Yao Cheng; Cheng-Ta Kuo; Ching-Hsien Hsu (UIC, 2011)

Implementation of online query and navigation service for neighboring emergency departments. - Chao-Hsien Lee; Yu-Cheng Tsao; Chao-Wen Chen; Kuan-Chieh Wang (ICCE-TW, 2014)

The Comparison of Solitary and Collaborative Modes of Game-based Learning on Students' Science Learning and Motivation. - Ching-Huei Chen; Kuan-Chieh Wang; Yu-Hsuan Lin (J. Educ. Technol. Soc., 2015)

A Visualization System for Traffic Violation Using H2O Random Forests. - Chyi-Ren Dow; Zhe-Rong Lin; Kuan-Chieh Wang (HCI (30), 2017)

Dualing GANs. - Yujia Li 001; Alexander G. Schwing; Kuan-Chieh Wang; Richard S. Zemel (NIPS, 2017)

A Human Recognition System for Pedestrian Crosswalk. - Chyi-Ren Dow; Liang-Hsuan Lee; Ngo Huu Huy; Kuan-Chieh Wang (HCI (30), 2018)

Neural Relational Inference for Interacting Systems. - Thomas N. Kipf; Ethan Fetaya; Kuan-Chieh Wang; Max Welling; Richard S. Zemel (ICML, 2018)

Adversarial Distillation of Bayesian Neural Network Posteriors. - Kuan-Chieh Wang; Paul Vicol; James Lucas; Li Gu; Roger B. Grosse; Richard S. Zemel (ICML, 2018)

Centroid-based Deep Metric Learning for Speaker Recognition. - Jixuan Wang; Kuan-Chieh Wang; Marc T. Law; Frank Rudzicz; Michael Brudno (ICASSP, 2019)

Lingvo: a Modular and Scalable Framework for Sequence-to-Sequence Modeling. - Jonathan Shen; Patrick Nguyen; Yonghui Wu; Zhifeng Chen; Mia Xu Chen; Ye Jia; Anjuli Kannan; Tara N. Sainath; Yuan Cao 007; Chung-Cheng Chiu; Yanzhang He; Jan Chorowski; et al. (CoRR, 2019)

Ultra-Low Complexity Block-Based Lane Detection and Departure Warning System. - Chung-Bin Wu; Li-Hung Wang; Kuan-Chieh Wang (IEEE Trans. Circuits Syst. Video Technol., 2019)

Your classifier is secretly an energy based model and you should treat it like one. - Will Grathwohl; Kuan-Chieh Wang; Jörn-Henrik Jacobsen; David Duvenaud; Mohammad Norouzi 002; Kevin Swersky (ICLR, 2020)

Learning the Stein Discrepancy for Training and Evaluating Energy-Based Models without Sampling. - Will Grathwohl; Kuan-Chieh Wang; Jörn-Henrik Jacobsen; David Duvenaud; Richard S. Zemel (ICML, 2020)

Cutting out the Middle-Man: Training and Evaluating Energy-Based Models without Sampling. - Will Grathwohl; Kuan-Chieh Wang; Jörn-Henrik Jacobsen; David Duvenaud; Richard S. Zemel (CoRR, 2020)

Flexible Few-Shot Learning with Contextual Similarity. - Mengye Ren; Eleni Triantafillou; Kuan-Chieh Wang; James Lucas; Jake Snell; Xaq Pitkow; Andreas S. Tolias; Richard S. Zemel (CoRR, 2020)

A crosswalk pedestrian recognition system by using deep learning and zebra-crossing recognition techniques. - Chyi-Ren Dow; Ngo Huu Huy; Liang-Hsuan Lee; Po-Yu Lai; Kuan-Chieh Wang; Van-Tung Bui (Softw. Pract. Exp., 2020)

Understanding and Mitigating Exploding Inverses in Invertible Neural Networks. - Jens Behrmann; Paul Vicol; Kuan-Chieh Wang; Roger B. Grosse; Jörn-Henrik Jacobsen (AISTATS, 2021)

Variational Model Inversion Attacks. - Kuan-Chieh Wang; Yan Fu; Ke Li 011; Ashish Khisti; Richard S. Zemel; Alireza Makhzani (NeurIPS, 2021)

Grad2Task: Improved Few-shot Text Classification Using Gradients for Task Representation. - Jixuan Wang; Kuan-Chieh Wang; Frank Rudzicz; Michael Brudno (NeurIPS, 2021)

Domain Adaptive 3D Pose Augmentation for In-the-Wild Human Mesh Recovery. - Zhenzhen Weng; Kuan-Chieh Wang; Angjoo Kanazawa; Serena Yeung (3DV, 2022)

Disentanglement and Generalization Under Correlation Shifts. - Christina M. Funke; Paul Vicol; Kuan-Chieh Wang; Matthias Kümmerer; Richard S. Zemel; Matthias Bethge (CoLLAs, 2022)

Towards Reliably Handling Inputs Not From the Training Distribution - Kuan-Chieh Wang (2022)

NeMo: 3D Neural Motion Fields from Multiple Video Instances of the Same Action. - Kuan-Chieh Wang; Zhenzhen Weng; Maria Xenochristou; João Pedro Araújo; Jeffrey Gu; C. Karen Liu; Serena Yeung (CVPR, 2023)

PROB: Probabilistic Objectness for Open World Object Detection. - Orr Zohar; Kuan-Chieh Wang; Serena Yeung (CVPR, 2023)

Generalizable Neural Fields as Partially Observed Neural Processes. - Jeffrey Gu; Kuan-Chieh Wang; Serena Yeung (ICCV, 2023)

Diagnosing and Rectifying Vision Models using Language. - Yuhui Zhang; Jeff Z. HaoChen; Shih-Cheng Huang; Kuan-Chieh Wang; James Zou 001; Serena Yeung (ICLR, 2023)

LOVM: Language-Only Vision Model Selection. - Orr Zohar; Shih-Cheng Huang; Kuan-Chieh Wang; Serena Yeung (NeurIPS, 2023)

Viewpoint Textual Inversion: Unleashing Novel View Synthesis with Pretrained 2D Diffusion Models. - James Burgess; Kuan-Chieh Wang; Serena Yeung (CoRR, 2023)

Open World Object Detection in the Era of Foundation Models. - Orr Zohar; Alejandro Lozano; Shelly Goel; Serena Yeung; Kuan-Chieh Wang (CoRR, 2023)

Viewpoint Textual Inversion: Discovering Scene Representations and 3D View Control in 2D Diffusion Models. - James Burgess; Kuan-Chieh Wang; Serena Yeung-Levy (ECCV (64), 2024)

VIMI: Grounding Video Generation through Multi-modal Instruction. - Yuwei Fang; Willi Menapace; Aliaksandr Siarohin; Tsai-Shien Chen; Kuan-Chieh Wang; Ivan Skorokhodov; Graham Neubig; Sergey Tulyakov (EMNLP, 2024)

Interpreting the Weight Space of Customized Diffusion Models. - Amil Dravid; Yossi Gandelsman; Kuan-Chieh Wang; Rameen Abdal; Gordon Wetzstein; Alexei A. Efros; Kfir Aberman (NeurIPS, 2024)

Iterative Motion Editing with Natural Language. - Purvi Goel; Kuan-Chieh Wang; C. Karen Liu; Kayvon Fatahalian (SIGGRAPH (Conference Paper Track), 2024)

MoA: Mixture-of-Attention for Subject-Context Disentanglement in Personalized Image Generation. - Kuan-Chieh Wang; Daniil Ostashev; Yuwei Fang; Sergey Tulyakov; Kfir Aberman (SIGGRAPH Asia, 2024)

Ask, Pose, Unite: Scaling Data Acquisition for Close Interactions with Vision Language Models. - Laura Bravo Sánchez; Jaewoo Heo; Zhenzhen Weng; Kuan-Chieh Wang; Serena Yeung-Levy (CoRR, 2024)

Motion Diffusion-Guided 3D Global HMR from a Dynamic Camera. - Jaewoo Heo; Kuan-Chieh Wang; C. Karen Liu; Serena Yeung-Levy (CoRR, 2024)

Omni-ID: Holistic Identity Representation Designed for Generative Tasks. - Guocheng Qian; Kuan-Chieh Wang; Or Patashnik; Negin Heravi; Daniil Ostashev; Sergey Tulyakov; Daniel Cohen-Or; Kfir Aberman (CVPR, 2025)

Object-level Visual Prompts for Compositional Image Generation. - Gaurav Parmar; Or Patashnik; Kuan-Chieh Wang; Daniil Ostashev; Srinivasa Narasimhan; Jun-Yan Zhu; Daniel Cohen-Or; Kfir Aberman (CoRR, 2025)

Converting Transformers into DGNNs Form. - Jie Zhang; Kuan-Chieh Wang; Bo-Wei Chiu; Min-Te Sun (CoRR, 2025)

I Think, Therefore I Diffuse: Enabling Multimodal In-Context Reasoning in Diffusion Models. - Zhenxing Mi; Kuan-Chieh Wang; Guocheng Qian; Hanrong Ye; Runtao Liu; Sergey Tulyakov; Kfir Aberman; Dan Xu 002 (CoRR, 2025)

UniEdit-Flow: Unleashing Inversion and Editing in the Era of Flow Models. - Guanlong Jiao; Biqing Huang; Kuan-Chieh Wang; Renjie Liao (CoRR, 2025)