Kuan-Chieh Wang

69 papers A* 17A 1C 2Misc 1Journal 36Unranked 11

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Converting Transformers into DGNNs Form. CoRR Jie Zhang, Kuan-Chieh Wang, Bo-Wei Chiu, Min-Te Sun
2025	A*	`conf`	I Think, Therefore I Diffuse: Enabling Multimodal In-Context Reasoning in Diffusion Models. ICML Zhenxing Mi, Kuan-Chieh Wang, Guocheng Qian, Hanrong Ye, Runtao Liu, Sergey Tulyakov, Kfir Aberman, Dan Xu
2025	J	`jnl`	I Think, Therefore I Diffuse: Enabling Multimodal In-Context Reasoning in Diffusion Models. CoRR Zhenxing Mi, Kuan-Chieh Wang, Guocheng Qian, Hanrong Ye, Runtao Liu, Sergey Tulyakov, Kfir Aberman, Dan Xu
2025	J	`jnl`	Kontinuous Kontext: Continuous Strength Control for Instruction-based Image Editing. CoRR Rishubh Parihar, Or Patashnik, Daniil Ostashev, R. Venkatesh Babu, Daniel Cohen-Or, Kuan-Chieh Wang
2025	—	`conf`	NeuHMR: Neural Rendering-Guided Human Motion Reconstruction. 3DV Tiange Xiang, Kuan-Chieh Wang, Jaewoo Heo, Ehsan Adeli, Serena Yeung, Scott L. Delp, Li Fei-Fei
2025	A*	`conf`	Object-level Visual Prompts for Compositional Image Generation. SIGGRAPH Asia Gaurav Parmar, Or Patashnik, Kuan-Chieh Wang, Daniil Ostashev, Srinivasa G. Narasimhan, Jun-Yan Zhu, Daniel Cohen-Or, Kfir Aberman
2025	J	`jnl`	Object-level Visual Prompts for Compositional Image Generation. CoRR Gaurav Parmar, Or Patashnik, Kuan-Chieh Wang, Daniil Ostashev, Srinivasa Narasimhan, Jun-Yan Zhu, Daniel Cohen-Or, Kfir Aberman
2025	A*	`conf`	Omni-ID: Holistic Identity Representation Designed for Generative Tasks. CVPR Guocheng Qian, Kuan-Chieh Wang, Or Patashnik, Negin Heravi, Daniil Ostashev, Sergey Tulyakov, Daniel Cohen-Or, Kfir Aberman
2025	J	`jnl`	Scaling Group Inference for Diverse and High-Quality Generation. CoRR Gaurav Parmar, Or Patashnik, Daniil Ostashev, Kuan-Chieh Wang, Kfir Aberman, Srinivasa Narasimhan, Jun-Yan Zhu
2025	J	`jnl`	UniEdit-Flow: Unleashing Inversion and Editing in the Era of Flow Models. CoRR Guanlong Jiao, Biqing Huang, Kuan-Chieh Wang, Renjie Liao
2024	J	`jnl`	Ask, Pose, Unite: Scaling Data Acquisition for Close Interactions with Vision Language Models. CoRR Laura Bravo Sánchez, Jaewoo Heo, Zhenzhen Weng, Kuan-Chieh Wang, Serena Yeung-Levy
2024	A*	`conf`	Interpreting the Weight Space of Customized Diffusion Models. NeurIPS Amil Dravid, Yossi Gandelsman, Kuan-Chieh Wang, Rameen Abdal, Gordon Wetzstein, Alexei A. Efros, Kfir Aberman
2024	J	`jnl`	Interpreting the Weight Space of Customized Diffusion Models. CoRR Amil Dravid, Yossi Gandelsman, Kuan-Chieh Wang, Rameen Abdal, Gordon Wetzstein, Alexei A. Efros, Kfir Aberman
2024	—	`conf`	Iterative Motion Editing with Natural Language. SIGGRAPH (Conference Paper Track) Purvi Goel, Kuan-Chieh Wang, C. Karen Liu, Kayvon Fatahalian
2024	A*	`conf`	MoA: Mixture-of-Attention for Subject-Context Disentanglement in Personalized Image Generation. SIGGRAPH Asia Kuan-Chieh Wang, Daniil Ostashev, Yuwei Fang, Sergey Tulyakov, Kfir Aberman
2024	J	`jnl`	MoA: Mixture-of-Attention for Subject-Context Disentanglement in Personalized Image Generation. CoRR Kuan-Chieh Wang, Daniil Ostashev, Yuwei Fang, Sergey Tulyakov, Kfir Aberman
2024	J	`jnl`	Motion Diffusion-Guided 3D Global HMR from a Dynamic Camera. CoRR Jaewoo Heo, Kuan-Chieh Wang, C. Karen Liu, Serena Yeung-Levy
2024	J	`jnl`	Omni-ID: Holistic Identity Representation Designed for Generative Tasks. CoRR Guocheng Qian, Kuan-Chieh Wang, Or Patashnik, Negin Heravi, Daniil Ostashev, Sergey Tulyakov, Daniel Cohen-Or, Kfir Aberman
2024	A*	`conf`	VIMI: Grounding Video Generation through Multi-modal Instruction. EMNLP Yuwei Fang, Willi Menapace, Aliaksandr Siarohin, Tsai-Shien Chen, Kuan-Chieh Wang, Ivan Skorokhodov, Graham Neubig, Sergey Tulyakov
2024	—	`conf`	Viewpoint Textual Inversion: Discovering Scene Representations and 3D View Control in 2D Diffusion Models. ECCV (64) James Burgess, Kuan-Chieh Wang, Serena Yeung-Levy
2023	A*	`conf`	Diagnosing and Rectifying Vision Models using Language. ICLR Yuhui Zhang, Jeff Z. HaoChen, Shih-Cheng Huang, Kuan-Chieh Wang, James Zou, Serena Yeung
2023	J	`jnl`	Diagnosing and Rectifying Vision Models using Language. CoRR Yuhui Zhang, Jeff Z. HaoChen, Shih-Cheng Huang, Kuan-Chieh Wang, James Zou, Serena Yeung
2023	A*	`conf`	Generalizable Neural Fields as Partially Observed Neural Processes. ICCV Jeffrey Gu, Kuan-Chieh Wang, Serena Yeung
2023	J	`jnl`	Generalizable Neural Fields as Partially Observed Neural Processes. CoRR Jeffrey Gu, Kuan-Chieh Wang, Serena Yeung
2023	J	`jnl`	Iterative Motion Editing with Natural Language. CoRR Purvi Goel, Kuan-Chieh Wang, C. Karen Liu, Kayvon Fatahalian
2023	A*	`conf`	LOVM: Language-Only Vision Model Selection. NeurIPS Orr Zohar, Shih-Cheng Huang, Kuan-Chieh Wang, Serena Yeung
2023	J	`jnl`	LOVM: Language-Only Vision Model Selection. CoRR Orr Zohar, Shih-Cheng Huang, Kuan-Chieh Wang, Serena Yeung
2023	A*	`conf`	NeMo: 3D Neural Motion Fields from Multiple Video Instances of the Same Action. CVPR Kuan-Chieh Wang, Zhenzhen Weng, Maria Xenochristou, João Pedro Araújo, Jeffrey Gu, C. Karen Liu, Serena Yeung
2023	J	`jnl`	Open World Object Detection in the Era of Foundation Models. CoRR Orr Zohar, Alejandro Lozano, Shelly Goel, Serena Yeung, Kuan-Chieh Wang
2023	A*	`conf`	PROB: Probabilistic Objectness for Open World Object Detection. CVPR Orr Zohar, Kuan-Chieh Wang, Serena Yeung
2023	J	`jnl`	Viewpoint Textual Inversion: Unleashing Novel View Synthesis with Pretrained 2D Diffusion Models. CoRR James Burgess, Kuan-Chieh Wang, Serena Yeung
2022	—	`conf`	Disentanglement and Generalization Under Correlation Shifts. CoLLAs Christina M. Funke, Paul Vicol, Kuan-Chieh Wang, Matthias Kümmerer, Richard S. Zemel, Matthias Bethge
2022	—	`conf`	Domain Adaptive 3D Pose Augmentation for In-the-Wild Human Mesh Recovery. 3DV Zhenzhen Weng, Kuan-Chieh Wang, Angjoo Kanazawa, Serena Yeung
2022	J	`jnl`	Domain Adaptive 3D Pose Augmentation for In-the-wild Human Mesh Recovery. CoRR Zhenzhen Weng, Kuan-Chieh Wang, Angjoo Kanazawa, Serena Yeung
2022	J	`jnl`	Grad2Task: Improved Few-shot Text Classification Using Gradients for Task Representation. CoRR Jixuan Wang, Kuan-Chieh Wang, Frank Rudzicz, Michael Brudno
2022	J	`jnl`	NeMo: 3D Neural Motion Fields from Multiple Video Instances of the Same Action. CoRR Kuan-Chieh Wang, Zhenzhen Weng, Maria Xenochristou, João Pedro Araújo, Jeffrey Gu, C. Karen Liu, Serena Yeung
2022	J	`jnl`	PROB: Probabilistic Objectness for Open World Object Detection. CoRR Orr Zohar, Kuan-Chieh Wang, Serena Yeung
2022	—	`—`	Towards Reliably Handling Inputs Not From the Training Distribution Kuan-Chieh Wang
2022	J	`jnl`	Variational Model Inversion Attacks. CoRR Kuan-Chieh Wang, Yan Fu, Ke Li, Ashish Khisti, Richard S. Zemel, Alireza Makhzani
2021	J	`jnl`	Disentanglement and Generalization Under Correlation Shifts. CoRR Christina M. Funke, Paul Vicol, Kuan-Chieh Wang, Matthias Kümmerer, Richard S. Zemel, Matthias Bethge
2021	A*	`conf`	Grad2Task: Improved Few-shot Text Classification Using Gradients for Task Representation. NeurIPS Jixuan Wang, Kuan-Chieh Wang, Frank Rudzicz, Michael Brudno
2021	A	`conf`	Understanding and Mitigating Exploding Inverses in Invertible Neural Networks. AISTATS Jens Behrmann, Paul Vicol, Kuan-Chieh Wang, Roger B. Grosse, Jörn-Henrik Jacobsen
2021	A*	`conf`	Variational Model Inversion Attacks. NeurIPS Kuan-Chieh Wang, Yan Fu, Ke Li, Ashish Khisti, Richard S. Zemel, Alireza Makhzani
2020	J	`jnl`	A crosswalk pedestrian recognition system by using deep learning and zebra-crossing recognition techniques. Softw. Pract. Exp. Chyi-Ren Dow, Ngo Huu Huy, Liang-Hsuan Lee, Po-Yu Lai, Kuan-Chieh Wang, Van-Tung Bui
2020	J	`jnl`	Cutting out the Middle-Man: Training and Evaluating Energy-Based Models without Sampling. CoRR Will Grathwohl, Kuan-Chieh Wang, Jörn-Henrik Jacobsen, David Duvenaud, Richard S. Zemel
2020	J	`jnl`	Flexible Few-Shot Learning with Contextual Similarity. CoRR Mengye Ren, Eleni Triantafillou, Kuan-Chieh Wang, James Lucas, Jake Snell, Xaq Pitkow, Andreas S. Tolias, Richard S. Zemel
2020	A*	`conf`	Learning the Stein Discrepancy for Training and Evaluating Energy-Based Models without Sampling. ICML Will Grathwohl, Kuan-Chieh Wang, Jörn-Henrik Jacobsen, David Duvenaud, Richard S. Zemel
2020	J	`jnl`	Understanding and mitigating exploding inverses in invertible neural networks. CoRR Jens Behrmann, Paul Vicol, Kuan-Chieh Wang, Roger B. Grosse, Jörn-Henrik Jacobsen
2020	A*	`conf`	Your classifier is secretly an energy based model and you should treat it like one. ICLR Will Grathwohl, Kuan-Chieh Wang, Jörn-Henrik Jacobsen, David Duvenaud, Mohammad Norouzi, Kevin Swersky
2019	Misc	`conf`	Centroid-based Deep Metric Learning for Speaker Recognition. ICASSP Jixuan Wang, Kuan-Chieh Wang, Marc T. Law, Frank Rudzicz, Michael Brudno
2019	J	`jnl`	Centroid-based deep metric learning for speaker recognition. CoRR Jixuan Wang, Kuan-Chieh Wang, Marc T. Law, Frank Rudzicz, Michael Brudno
2019	J	`jnl`	Lingvo: a Modular and Scalable Framework for Sequence-to-Sequence Modeling. CoRR Jonathan Shen, Patrick Nguyen, Yonghui Wu, Zhifeng Chen, Mia Xu Chen, Ye Jia, Anjuli Kannan, Tara N. Sainath, Yuan Cao, Chung-Cheng Chiu, Yanzhang He, Jan Chorowski, Smit Hinsu, Stella Laurenzo, James Qin, Orhan Firat, Wolfgang Macherey, Suyog Gupta, Ankur Bapna, Shuyuan Zhang, Ruoming Pang, Ron J. Weiss, Rohit Prabhavalkar, Qiao Liang, Benoit Jacob, Bowen Liang, HyoukJoong Lee, Ciprian Chelba, Sébastien Jean, Bo Li, Melvin Johnson, Rohan Anil, Rajat Tibrewal, Xiaobing Liu, Akiko Eriguchi, Navdeep Jaitly, Naveen Ari, Colin Cherry, Parisa Haghani, Otavio Good, Youlong Cheng, Raziel Alvarez, Isaac Caswell, Wei-Ning Hsu, Zongheng Yang, Kuan-Chieh Wang, Ekaterina Gonina, Katrin Tomanek, Ben Vanik, Zelin Wu, Llion Jones, Mike Schuster, Yanping Huang, Dehao Chen, Kazuki Irie, George F. Foster, John Richardson, Klaus Macherey, Antoine Bruguier, Heiga Zen, Colin Raffel, Shankar Kumar, Kanishka Rao, David Rybach, Matthew Murray, Vijayaditya Peddinti, Maxim Krikun, Michiel Bacchiani, Thomas B. Jablin, Robert Suderman, Ian Williams, Benjamin Lee, Deepti Bhatia, Justin Carlson, Semih Yavuz, Yu Zhang, Ian McGraw, Max Galkin, Qi Ge, Golan Pundak, Chad Whipkey, Todd Wang, Uri Alon, Dmitry Lepikhin, Ye Tian, Sara Sabour, William Chan, Shubham Toshniwal, Baohua Liao, Michael Nirschl, Pat Rondon
2019	J	`jnl`	Ultra-Low Complexity Block-Based Lane Detection and Departure Warning System. IEEE Trans. Circuits Syst. Video Technol. Chung-Bin Wu, Li-Hung Wang, Kuan-Chieh Wang
2019	J	`jnl`	Your Classifier is Secretly an Energy Based Model and You Should Treat it Like One. CoRR Will Grathwohl, Kuan-Chieh Wang, Jörn-Henrik Jacobsen, David Duvenaud, Mohammad Norouzi, Kevin Swersky
2018	—	`conf`	A Human Recognition System for Pedestrian Crosswalk. HCI (30) Chyi-Ren Dow, Liang-Hsuan Lee, Ngo Huu Huy, Kuan-Chieh Wang
2018	A*	`conf`	Adversarial Distillation of Bayesian Neural Network Posteriors. ICML Kuan-Chieh Wang, Paul Vicol, James Lucas, Li Gu, Roger B. Grosse, Richard S. Zemel
2018	J	`jnl`	Adversarial Distillation of Bayesian Neural Network Posteriors. CoRR Kuan-Chieh Wang, Paul Vicol, James Lucas, Li Gu, Roger B. Grosse, Richard S. Zemel
2018	A*	`conf`	Neural Relational Inference for Interacting Systems. ICML Thomas N. Kipf, Ethan Fetaya, Kuan-Chieh Wang, Max Welling, Richard S. Zemel
2018	J	`jnl`	Neural Relational Inference for Interacting Systems. CoRR Thomas N. Kipf, Ethan Fetaya, Kuan-Chieh Wang, Max Welling, Richard S. Zemel
2017	—	`conf`	A Visualization System for Traffic Violation Using H2O Random Forests. HCI (30) Chyi-Ren Dow, Zhe-Rong Lin, Kuan-Chieh Wang
2017	—	`conf`	Dualing GANs. NIPS Yujia Li, Alexander G. Schwing, Kuan-Chieh Wang, Richard S. Zemel
2017	J	`jnl`	Dualing GANs. CoRR Yujia Li, Alexander G. Schwing, Kuan-Chieh Wang, Richard S. Zemel
2015	J	`jnl`	The Comparison of Solitary and Collaborative Modes of Game-based Learning on Students' Science Learning and Motivation. J. Educ. Technol. Soc. Ching-Huei Chen, Kuan-Chieh Wang, Yu-Hsuan Lin
2014	—	`conf`	Implementation of online query and navigation service for neighboring emergency departments. ICCE-TW Chao-Hsien Lee, Yu-Cheng Tsao, Chao-Wen Chen, Kuan-Chieh Wang
2011	C	`conf`	Green Power Management with Dynamic Resource Allocation for Cloud Virtual Machines. HPCC Chao-Tung Yang, Kuan-Chieh Wang, Hsiang-Yao Cheng, Cheng-Ta Kuo, William Cheng-Chung Chu
2011	C	`conf`	Implementation of a Green Power Management Algorithm for Virtual Machines on Cloud Computing. UIC Chao-Tung Yang, Kuan-Chieh Wang, Hsiang-Yao Cheng, Cheng-Ta Kuo, Ching-Hsien Hsu
2010	J	`jnl`	A Multimode Shuffled Iterative Decoder Architecture for High-Rate RS-LDPC Codes. IEEE Trans. Circuits Syst. I Regul. Pap. Yeong-Luh Ueng, Chung-Jay Yang, Kuan-Chieh Wang, Chun-Jung Chen
2010	—	`conf`	Implementation of a Medical Image File Accessing System on Cloud Computing. CSE Chao-Tung Yang, Lung-Teng Chen, Wei-Li Chou, Kuan-Chieh Wang
2009	—	`conf`	QoS-Aware Power Management for Energy Harvesting Wireless Sensor Network Utilizing Reinforcement Learning. CSE (2) Roy Chaoming Hsu, Cheng-Ting Liu, Kuan-Chieh Wang, Wei-Ming Lee