Daochang Liu - RankMe

53 papers A* 19Journal 28Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Draft-and-Target Sampling for Video Generation Policy. CoRR Qikang Zhang, Yingjie Lei, Wei Liu, Daochang Liu
2026	J	`jnl`	Implicit Neural Representation-Based Continuous Single Image Super Resolution: An Empirical Study. CoRR Tayyab Nasir, Daochang Liu, Ajmal Mian
2025	A*	`conf`	Anti-Exposure Bias in Diffusion Models. ICLR Junyu Zhang, Daochang Liu, Eunbyung Park, Shichao Zhang, Chang Xu
2025	—	`conf`	CollagePrompt: A Benchmark for Budget-Friendly Visual Recognition with GPT-4V. NAACL (Findings) Siyu Xu, Yunke Wang, Daochang Liu, Bo Du, Chang Xu
2025	—	`conf`	DentEval: Fine-tuning-Free Expert-Aligned Assessment in Dental Education via LLM Agents. MICCAI (5) Xinyu Deng, Vesna Miletic, Elvis Trinh, Jinlong Gao, Chang Xu, Daochang Liu
2025	J	`jnl`	DiffAct++: Diffusion Action Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. Daochang Liu, Qiyue Li, Anh-Dung Dinh, Tingting Jiang, Mubarak Shah, Chang Xu
2025	J	`jnl`	Enhancing Physical Plausibility in Video Generation by Reasoning the Implausibility. CoRR Yutong Hao, Chen Chen, Ajmal Saeed Mian, Chang Xu, Daochang Liu
2025	A*	`conf`	Enhancing Privacy-Utility Trade-offs to Mitigate Memorization in Diffusion Models. CVPR Chen Chen, Daochang Liu, Mubarak Shah, Chang Xu
2025	J	`jnl`	Enhancing Privacy-Utility Trade-offs to Mitigate Memorization in Diffusion Models. CoRR Chen Chen, Daochang Liu, Mubarak Shah, Chang Xu
2025	A*	`conf`	Exploring Local Memorization in Diffusion Models via Bright Ending Attention. ICLR Chen Chen, Daochang Liu, Mubarak Shah, Chang Xu
2025	J	`jnl`	Generative Physical AI in Vision: A Survey. CoRR Daochang Liu, Junyu Zhang, Anh-Dung Dinh, Eunbyung Park, Shichao Zhang, Chang Xu
2025	J	`jnl`	Not All Tokens are Guided Equal: Improving Guidance in Visual Autoregressive Models. CoRR Ky Dan Nguyen, Hoang Lam Tran, Anh-Dung Dinh, Daochang Liu, Weidong Cai, Xiuying Wang, Chang Xu
2025	A*	`conf`	Representative Guidance: Diffusion Model Sampling with Coherence. ICLR Anh-Dung Dinh, Daochang Liu, Chang Xu
2025	J	`jnl`	Rest2Visual: Predicting Visually Evoked fMRI from Resting-State Scans. CoRR Chuyang Zhou, Ziao Ji, Daochang Liu, Dongang Wang, Chenyu Wang, Chang Xu
2025	—	`conf`	Workshop on Sustainable AI for the Future Web. WWW (Companion Volume) Chang Xu, Yunke Wang, Jianyuan Guo, Daochang Liu, Minjing Dong, Yasmeen M. George, Johan Barthelemy, Yan Liu, Ling Chen
2024	A*	`conf`	Boosting Diffusion Models with an Adaptive Momentum Sampler. IJCAI Xiyu Wang, Anh-Dung Dinh, Daochang Liu, Chang Xu
2024	A*	`conf`	Bridging Data Gaps in Diffusion Models with Adversarial Noise-Based Transfer Learning. ICML Xiyu Wang, Baijiong Lin, Daochang Liu, Ying-Cong Chen, Chang Xu
2024	J	`jnl`	Collage Prompting: Budget-Friendly Visual Recognition with GPT-4V. CoRR Siyu Xu, Yunke Wang, Daochang Liu, Chang Xu
2024	J	`jnl`	Compress Guidance in Conditional Diffusion Sampling. CoRR Anh-Dung Dinh, Daochang Liu, Chang Xu
2024	J	`jnl`	Exploring Local Memorization in Diffusion Models via Bright Ending Attention. CoRR Chen Chen, Daochang Liu, Mubarak Shah, Chang Xu
2024	J	`jnl`	Investigating Memorization in Video Diffusion Models. CoRR Chen Chen, Enhuai Liu, Daochang Liu, Mubarak Shah, Chang Xu
2024	A*	`conf`	Residual Learning in Diffusion Models. CVPR Junyu Zhang, Daochang Liu, Eunbyung Park, Shichao Zhang, Chang Xu
2024	J	`jnl`	Surgical Triplet Recognition via Diffusion Model. CoRR Daochang Liu, Axel Hu, Mubarak Shah, Chang Xu
2024	A*	`conf`	Towards Memorization-Free Diffusion Models. CVPR Chen Chen, Daochang Liu, Chang Xu
2024	J	`jnl`	Towards Memorization-Free Diffusion Models. CoRR Chen Chen, Daochang Liu, Chang Xu
2023	A*	`conf`	Beyond Pretrained Features: Noisy Image Modeling Provides Adversarial Defense. NeurIPS Zunzhi You, Daochang Liu, Bohyung Han, Chang Xu
2023	J	`jnl`	Beyond Pretrained Features: Noisy Image Modeling Provides Adversarial Defense. CoRR Zunzhi You, Daochang Liu, Bohyung Han, Chang Xu
2023	J	`jnl`	Boosting Diffusion Models with an Adaptive Momentum Sampler. CoRR Xiyu Wang, Anh-Dung Dinh, Daochang Liu, Chang Xu
2023	A*	`conf`	Calibrating a Deep Neural Network with Its Predecessors. IJCAI Linwei Tao, Minjing Dong, Daochang Liu, Changming Sun, Chang Xu
2023	J	`jnl`	Calibrating a Deep Neural Network with Its Predecessors. CoRR Linwei Tao, Minjing Dong, Daochang Liu, Changming Sun, Chang Xu
2023	J	`jnl`	Comparative validation of machine learning algorithms for surgical workflow and skill analysis with the HeiChole benchmark. Medical Image Anal. Martin Wagner, Beat P. Müller-Stich, Anna Kisilenko, Duc Tran, Patrick Heger, Lars Mündermann, David M. Lubotsky, Benjamin Müller, Tornike Davitashvili, Manuela Capek, Annika Reinke, Carissa Reid, Tong Yu, Armine Vardazaryan, Chinedu Innocent Nwoye, Nicolas Padoy, Xinyang Liu, Eungjoo Lee, Constantin Disch, Hans Meine, Tong Xia, Fucang Jia, Satoshi Kondo, Wolfgang Reiter, Yueming Jin, Yonghao Long, Meirui Jiang, Qi Dou, Pheng-Ann Heng, Isabell Twick, Kadir Kirtaç, Enes Hosgor, Jon Lindström Bolmgren, Michael Stenzel, Björn von Siemens, Long Zhao, Zhenxiao Ge, Haiming Sun, Di Xie, Mengqi Guo, Daochang Liu, Hannes Götz Kenngott, Felix Nickel, Moritz von Frankenberg, Franziska Mathis-Ullrich, Annette Kopp-Schneider, Lena Maier-Hein, Stefanie Speidel, Sebastian Bodenstedt
2023	A*	`conf`	Contrastive Sampling Chains in Diffusion Models. NeurIPS Junyu Zhang, Daochang Liu, Shichao Zhang, Chang Xu
2023	A*	`conf`	Diffusion Action Segmentation. ICCV Daochang Liu, Qiyue Li, Anh-Dung Dinh, Tingting Jiang, Mubarak Shah, Chang Xu
2023	J	`jnl`	Diffusion Action Segmentation. CoRR Daochang Liu, Qiyue Li, AnhDung Dinh, Tingting Jiang, Mubarak Shah, Chang Xu
2023	J	`jnl`	Efficient Transfer Learning in Diffusion Models via Adversarial Noise. CoRR Xiyu Wang, Baijiong Lin, Daochang Liu, Chang Xu
2023	J	`jnl`	Learning Degradation-Robust Spatiotemporal Frequency-Transformer for Video Super-Resolution. IEEE Trans. Pattern Anal. Mach. Intell. Zhongwei Qiu, Huan Yang, Jianlong Fu, Daochang Liu, Chang Xu, Dongmei Fu
2023	A*	`conf`	Personalized Image Generation for Color Vision Deficiency Population. ICCV Shuyi Jiang, Daochang Liu, Dingquan Li, Chang Xu
2023	A*	`conf`	PixelAsParam: A Gradient View on Diffusion Sampling with Guidance. ICML AnhDung Dinh, Daochang Liu, Chang Xu
2023	A*	`conf`	Private Image Generation with Dual-Purpose Auxiliary Classifier. CVPR Chen Chen, Daochang Liu, Siqi Ma, Surya Nepal, Chang Xu
2023	A*	`conf`	Rethinking Conditional Diffusion Sampling with Progressive Guidance. NeurIPS Anh-Dung Dinh, Daochang Liu, Chang Xu
2023	J	`jnl`	Two-in-one Knowledge Distillation for Efficient Facial Forgery Detection. CoRR Chuyang Zhou, Jiajun Huang, Daochang Liu, Chengbin Du, Siqi Ma, Surya Nepal, Chang Xu
2022	A*	`conf`	Contrastive Code-Comment Pre-training. ICDM Xiaohuan Pei, Daochang Liu, Luo Qian, Chang Xu
2022	J	`jnl`	Learning Spatiotemporal Frequency-Transformer for Low-Quality Video Super-Resolution. CoRR Zhongwei Qiu, Huan Yang, Jianlong Fu, Daochang Liu, Chang Xu, Dongmei Fu
2021	A*	`conf`	Towards Unified Surgical Skill Assessment. CVPR Daochang Liu, Qiyue Li, Tingting Jiang, Yizhou Wang, Rulin Miao, Fei Shan, Ziyu Li
2021	J	`jnl`	Towards Unified Surgical Skill Assessment. CoRR Daochang Liu, Qiyue Li, Tingting Jiang, Yizhou Wang, Rulin Miao, Fei Shan, Ziyu Li
2020	J	`jnl`	Clearness of operating field: a surrogate for surgical skills on in vivo clinical data. Int. J. Comput. Assist. Radiol. Surg. Daochang Liu, Tingting Jiang, Yizhou Wang, Rulin Miao, Fei Shan, Ziyu Li
2020	J	`jnl`	Surgical Skill Assessment on In-Vivo Clinical Data via the Clearness of Operating Field. CoRR Daochang Liu, Tingting Jiang, Yizhou Wang, Rulin Miao, Fei Shan, Ziyu Li
2020	—	`conf`	Unsupervised Surgical Instrument Segmentation via Anchor Generation and Semantic Diffusion. MICCAI (3) Daochang Liu, Yuhui Wei, Tingting Jiang, Yizhou Wang, Rulin Miao, Fei Shan, Ziyu Li
2020	J	`jnl`	Unsupervised Surgical Instrument Segmentation via Anchor Generation and Semantic Diffusion. CoRR Daochang Liu, Yuhui Wei, Tingting Jiang, Yizhou Wang, Rulin Miao, Fei Shan, Ziyu Li
2019	A*	`conf`	Completeness Modeling and Context Separation for Weakly Supervised Temporal Action Localization. CVPR Daochang Liu, Tingting Jiang, Yizhou Wang
2019	—	`conf`	Surgical Skill Assessment on In-Vivo Clinical Data via the Clearness of Operating Field. MICCAI (5) Daochang Liu, Tingting Jiang, Yizhou Wang, Rulin Miao, Fei Shan, Ziyu Li
2018	—	`conf`	Deep Reinforcement Learning for Surgical Gesture Segmentation and Classification. MICCAI (4) Daochang Liu, Tingting Jiang
2018	J	`jnl`	Deep Reinforcement Learning for Surgical Gesture Segmentation and Classification. CoRR Daochang Liu, Tingting Jiang