Zhen Liu - RankMe

54 papers A* 20A 3Journal 28Unranked 3

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	Can Large Language Models Understand Symbolic Graphics Programs? ICLR Zeju Qiu, Weiyang Liu, Haiwen Feng, Zhen Liu, Tim Z. Xiao, Katherine M. Collins, Joshua B. Tenenbaum, Adrian Weller, Michael J. Black, Bernhard Schölkopf
2025	A*	`conf`	ChatGarment: Garment Estimation, Generation and Editing via Large Language Models. CVPR Siyuan Bian, Chenghao Xu, Yuliang Xiu, Artur Grigorev, Zhen Liu, Cewu Lu, Michael J. Black, Yao Feng
2025	A*	`conf`	Efficient Diversity-Preserving Diffusion Alignment via Gradient-Informed GFlowNets. ICLR Zhen Liu, Tim Z. Xiao, Weiyang Liu, Yoshua Bengio, Dinghuai Zhang
2025	J	`jnl`	Flipping Against All Odds: Reducing LLM Coin Flip Bias via Verbalized Rejection Sampling. CoRR Tim Z. Xiao, Johannes Zenn, Zhen Liu, Weiyang Liu, Robert Bamler, Bernhard Schölkopf
2024	J	`jnl`	Can Large Language Models Understand Symbolic Graphics Programs? CoRR Zeju Qiu, Weiyang Liu, Haiwen Feng, Zhen Liu, Tim Z. Xiao, Katherine M. Collins, Joshua B. Tenenbaum, Adrian Weller, Michael J. Black, Bernhard Schölkopf
2024	J	`jnl`	ChatGarment: Garment Estimation, Generation and Editing via Large Language Models. CoRR Siyuan Bian, Chenghao Xu, Yuliang Xiu, Artur Grigorev, Zhen Liu, Cewu Lu, Michael J. Black, Yao Feng
2024	J	`jnl`	Efficient Diversity-Preserving Diffusion Alignment via Gradient-Informed GFlowNets. CoRR Zhen Liu, Tim Z. Xiao, Weiyang Liu, Yoshua Bengio, Dinghuai Zhang
2024	A*	`conf`	Ghost on the Shell: An Expressive Representation of General 3D Shapes. ICLR Zhen Liu, Yao Feng, Yuliang Xiu, Weiyang Liu, Liam Paull, Michael J. Black, Bernhard Schölkopf
2024	A*	`conf`	Parameter-Efficient Orthogonal Finetuning via Butterfly Factorization. ICLR Weiyang Liu, Zeju Qiu, Yao Feng, Yuliang Xiu, Yuxuan Xue, Longhui Yu, Haiwen Feng, Zhen Liu, Juyeon Heo, Songyou Peng, Yandong Wen, Michael J. Black, Adrian Weller, Bernhard Schölkopf
2024	J	`jnl`	PuzzleAvatar: Assembling 3D Avatars from Personal Albums. CoRR Yuliang Xiu, Yufei Ye, Zhen Liu, Dimitrios Tzionas, Michael J. Black
2024	J	`jnl`	PuzzleAvatar: Assembling 3D Avatars from Personal Albums. ACM Trans. Graph. Yuliang Xiu, Yufei Ye, Zhen Liu, Dimitris Tzionas, Michael J. Black
2023	J	`jnl`	Continual Learning by Modeling Intra-Class Variation. Trans. Mach. Learn. Res. Longhui Yu, Tianyang Hu, Lanqing Hong, Zhen Liu, Adrian Weller, Weiyang Liu
2023	A*	`conf`	Controlling Text-to-Image Diffusion by Orthogonal Finetuning. NeurIPS Zeju Qiu, Weiyang Liu, Haiwen Feng, Yuxuan Xue, Yao Feng, Zhen Liu, Dan Zhang, Adrian Weller, Bernhard Schölkopf
2023	J	`jnl`	Controlling Text-to-Image Diffusion by Orthogonal Finetuning. CoRR Zeju Qiu, Weiyang Liu, Haiwen Feng, Yuxuan Xue, Yao Feng, Zhen Liu, Dan Zhang, Adrian Weller, Bernhard Schölkopf
2023	J	`jnl`	Ghost on the Shell: An Expressive Representation of General 3D Shapes. CoRR Zhen Liu, Yao Feng, Yuliang Xiu, Weiyang Liu, Liam Paull, Michael J. Black, Bernhard Schölkopf
2023	A	`conf`	Iterative Teaching by Data Hallucination. AISTATS Zeju Qiu, Weiyang Liu, Tim Z. Xiao, Zhen Liu, Umang Bhatt, Yucen Luo, Adrian Weller, Bernhard Schölkopf
2023	A*	`conf`	MeshDiffusion: Score-based Generative 3D Mesh Modeling. ICLR Zhen Liu, Yao Feng, Michael J. Black, Derek Nowrouzezahrai, Liam Paull, Weiyang Liu
2023	J	`jnl`	MeshDiffusion: Score-based Generative 3D Mesh Modeling. CoRR Zhen Liu, Yao Feng, Michael J. Black, Derek Nowrouzezahrai, Liam Paull, Weiyang Liu
2023	J	`jnl`	Parameter-Efficient Orthogonal Finetuning via Butterfly Factorization. CoRR Weiyang Liu, Zeju Qiu, Yao Feng, Yuliang Xiu, Yuxuan Xue, Longhui Yu, Haiwen Feng, Zhen Liu, Juyeon Heo, Songyou Peng, Yandong Wen, Michael J. Black, Adrian Weller, Bernhard Schölkopf
2023	J	`jnl`	Using Representation Expressiveness and Learnability to Evaluate Self-Supervised Learning Methods. Trans. Mach. Learn. Res. Yuchen Lu, Zhen Liu, Aristide Baratin, Romain Laroche, Aaron C. Courville, Alessandro Sordoni
2022	J	`jnl`	Continual Learning by Modeling Intra-Class Variation. CoRR Longhui Yu, Tianyang Hu, Lanqing Hong, Zhen Liu, Adrian Weller, Weiyang Liu
2022	J	`jnl`	Expressiveness and Learnability: A Unifying View for Evaluating Self-Supervised Learning. CoRR Yuchen Lu, Zhen Liu, Aristide Baratin, Romain Laroche, Aaron C. Courville, Alessandro Sordoni
2022	A*	`conf`	Generative Flow Networks for Discrete Probabilistic Modeling. ICML Dinghuai Zhang, Nikolay Malkin, Zhen Liu, Alexandra Volokhova, Aaron C. Courville, Yoshua Bengio
2022	J	`jnl`	Generative Flow Networks for Discrete Probabilistic Modeling. CoRR Dinghuai Zhang, Nikolay Malkin, Zhen Liu, Alexandra Volokhova, Aaron C. Courville, Yoshua Bengio
2022	J	`jnl`	Iterative Teaching by Data Hallucination. CoRR Zeju Qiu, Weiyang Liu, Tim Z. Xiao, Zhen Liu, Umang Bhatt, Yucen Luo, Adrian Weller, Bernhard Schölkopf
2022	—	`conf`	Structural Causal 3D Reconstruction. ECCV (1) Weiyang Liu, Zhen Liu, Liam Paull, Adrian Weller, Bernhard Schölkopf
2022	J	`jnl`	Structural Causal 3D Reconstruction. CoRR Weiyang Liu, Zhen Liu, Liam Paull, Adrian Weller, Bernhard Schölkopf
2021	A*	`conf`	A Consciousness-Inspired Planning Agent for Model-Based Reinforcement Learning. NeurIPS Mingde Zhao, Zhen Liu, Sitao Luan, Shuyuan Zhang, Doina Precup, Yoshua Bengio
2021	J	`jnl`	A Consciousness-Inspired Planning Agent for Model-Based Reinforcement Learning. CoRR Mingde Zhao, Zhen Liu, Sitao Luan, Shuyuan Zhang, Doina Precup, Yoshua Bengio
2021	A*	`conf`	Iterative Teaching by Label Synthesis. NeurIPS Weiyang Liu, Zhen Liu, Hanchen Wang, Liam Paull, Bernhard Schölkopf, Adrian Weller
2021	J	`jnl`	Iterative Teaching by Label Synthesis. CoRR Weiyang Liu, Zhen Liu, Hanchen Wang, Liam Paull, Bernhard Schölkopf, Adrian Weller
2021	A	`conf`	Learning with Hyperspherical Uniformity. AISTATS Weiyang Liu, Rongmei Lin, Zhen Liu, Li Xiong, Bernhard Schölkopf, Adrian Weller
2021	J	`jnl`	Learning with Hyperspherical Uniformity. CoRR Weiyang Liu, Rongmei Lin, Zhen Liu, Li Xiong, Bernhard Schölkopf, Adrian Weller
2021	A*	`conf`	Orthogonal Over-Parameterized Training. CVPR Weiyang Liu, Rongmei Lin, Zhen Liu, James M. Rehg, Liam Paull, Li Xiong, Le Song, Adrian Weller
2020	J	`jnl`	Orthogonal Over-Parameterized Training. CoRR Weiyang Liu, Rongmei Lin, Zhen Liu, James M. Rehg, Li Xiong, Le Song
2020	A*	`conf`	Regularizing Neural Networks via Minimizing Hyperspherical Energy. CVPR Rongmei Lin, Weiyang Liu, Zhen Liu, Chen Feng, Zhiding Yu, James M. Rehg, Li Xiong, Le Song
2019	J	`jnl`	Compressive Hyperspherical Energy Minimization. CoRR Rongmei Lin, Weiyang Liu, Zhen Liu, Chen Feng, Zhiding Yu, James M. Rehg, Li Xiong, Le Song
2019	A*	`conf`	Exponential Family Estimation via Adversarial Dynamics Embedding. NeurIPS Bo Dai, Zhen Liu, Hanjun Dai, Niao He, Arthur Gretton, Le Song, Dale Schuurmans
2019	J	`jnl`	Exponential Family Estimation via Adversarial Dynamics Embedding. CoRR Bo Dai, Zhen Liu, Hanjun Dai, Niao He, Arthur Gretton, Le Song, Dale Schuurmans
2019	A*	`conf`	Neural Similarity Learning. NeurIPS Weiyang Liu, Zhen Liu, James M. Rehg, Le Song
2019	J	`jnl`	Neural Similarity Learning. CoRR Weiyang Liu, Zhen Liu, James M. Rehg, Le Song
2018	A*	`conf`	Coupled Variational Bayes via Optimization Embedding. NeurIPS Bo Dai, Hanjun Dai, Niao He, Weiyang Liu, Zhen Liu, Jianshu Chen, Lin Xiao, Le Song
2018	A*	`conf`	Decoupled Networks. CVPR Weiyang Liu, Zhen Liu, Zhiding Yu, Bo Dai, Rongmei Lin, Yisen Wang, James M. Rehg, Le Song
2018	J	`jnl`	Decoupled Networks. CoRR Weiyang Liu, Zhen Liu, Zhiding Yu, Bo Dai, Rongmei Lin, Yisen Wang, James M. Rehg, Le Song
2018	A*	`conf`	Deep Forward and Inverse Perceptual Models for Tracking and Prediction. ICRA Alexander Lambert, Amirreza Shaban, Amit Raj, Zhen Liu, Byron Boots
2018	A*	`conf`	Learning towards Minimum Hyperspherical Energy. NeurIPS Weiyang Liu, Rongmei Lin, Zhen Liu, Lixin Liu, Zhiding Yu, Bo Dai, Le Song
2018	J	`jnl`	Learning towards Minimum Hyperspherical Energy. CoRR Weiyang Liu, Rongmei Lin, Zhen Liu, Lixin Liu, Zhiding Yu, Bo Dai, Le Song
2018	A*	`conf`	SBEED: Convergent Reinforcement Learning with Nonlinear Function Approximation. ICML Bo Dai, Albert E. Shaw, Lihong Li, Lin Xiao, Niao He, Zhen Liu, Jianshu Chen, Le Song
2018	A*	`conf`	Towards Black-box Iterative Machine Teaching. ICML Weiyang Liu, Bo Dai, Xingguo Li, Zhen Liu, James M. Rehg, Le Song
2017	J	`jnl`	Deep Forward and Inverse Perceptual Models for Tracking and Prediction. CoRR Alexander Lambert, Amirreza Shaban, Amit Raj, Zhen Liu, Byron Boots
2017	—	`conf`	Deep Hyperspherical Learning. NIPS Weiyang Liu, Yan-Ming Zhang, Xingguo Li, Zhen Liu, Bo Dai, Tuo Zhao, Le Song
2017	A	`conf`	One-Shot Learning for Semantic Segmentation. BMVC Amirreza Shaban, Shray Bansal, Zhen Liu, Irfan Essa, Byron Boots
2017	J	`jnl`	One-Shot Learning for Semantic Segmentation. CoRR Amirreza Shaban, Shray Bansal, Zhen Liu, Irfan Essa, Byron Boots
2016	—	`conf`	Multi Robot Object-Based SLAM. ISER Siddharth Choudhary, Luca Carlone, Carlos Nieto, John G. Rogers III, Zhen Liu, Henrik I. Christensen, Frank Dellaert