Liu, Zhen

54 publications

ICLR 2025 Can Large Language Models Understand Symbolic Graphics Programs? Zeju Qiu, Weiyang Liu, Haiwen Feng, Zhen Liu, Tim Z. Xiao, Katherine M. Collins, Joshua B. Tenenbaum, Adrian Weller, Michael J. Black, Bernhard Schölkopf

CVPR 2025 ChatGarment: Garment Estimation, Generation and Editing via Large Language Models Siyuan Bian, Chenghao Xu, Yuliang Xiu, Artur Grigorev, Zhen Liu, Cewu Lu, Michael J. Black, Yao Feng

ICLR 2025 Efficient Diversity-Preserving Diffusion Alignment via Gradient-Informed GFlowNets Zhen Liu, Tim Z. Xiao, Weiyang Liu, Yoshua Bengio, Dinghuai Zhang

AAAI 2025 FlowPolicy: Enabling Fast and Robust 3D Flow-Based Policy via Consistency Flow Matching for Robot Manipulation Qinglun Zhang, Zhen Liu, Haoqiang Fan, Guanghui Liu, Bing Zeng, Shuaicheng Liu

ICCV 2025 Fusion Meets Diverse Conditions: A High-Diversity Benchmark and Baseline for UAV-Based Multimodal Object Detection with Condition Cues Chen Chen, Kangcheng Bin, Ting Hu, Jiahao Qi, Xingyue Liu, Tianpeng Liu, Zhen Liu, Yongxiang Liu, Ping Zhong

ICML 2025 Hi-Patch: Hierarchical Patch GNN for Irregular Multivariate Time Series Yicheng Luo, Bowen Zhang, Zhen Liu, Qianli Ma

ICML 2025 HyperIMTS: Hypergraph Neural Network for Irregular Multivariate Time Series Forecasting Boyuan Li, Yicheng Luo, Zhen Liu, Junhao Zheng, Jianming Lv, Qianli Ma

ICML 2025 Learning Soft Sparse Shapes for Efficient Time-Series Classification Zhen Liu, Yicheng Luo, Boyuan Li, Emadeldeen Eldele, Min Wu, Qianli Ma

ICCV 2025 Learning to See in the Extremely Dark Hai Jiang, Binhao Guan, Zhen Liu, Xiaohong Liu, Jian Yu, Zheng Liu, Songchen Han, Shuaicheng Liu

NeurIPS 2025 Luminance-Aware Statistical Quantization: Unsupervised Hierarchical Learning for Illumination Enhancement Derong Kong, Zhixiong Yang, Shengxi Li, Shuaifeng Zhi, Li Liu, Zhen Liu, Jingyuan Xia

NeurIPS 2025 Nabla-R2D3: Effective and Efficient 3D Diffusion Alignment with 2D Rewards Qingming Liu, Zhen Liu, Dinghuai Zhang, Kui Jia

ECML-PKDD 2025 Redefining Fairness: A Multi-Dimensional Perspective and Integrated Evaluation Framework Zichong Wang, Zhipeng Yin, Zhen Liu, Roland H. C. Yap, Xiaocai Zhang, Shu Hu, Wenbin Zhang

NeurIPS 2025 Value Gradient Guidance for Flow Matching Alignment Zhen Liu, Tim Z. Xiao, Carles Domingo-Enrich, Weiyang Liu, Dinghuai Zhang

CVPR 2024 A Dynamic Kernel Prior Model for Unsupervised Blind Image Super-Resolution Zhixiong Yang, Jingyuan Xia, Shengxi Li, Xinghua Huang, Shuanghui Zhang, Zhen Liu, Yaowen Fu, Yongxiang Liu

AAAI 2024 Diffusion Language-Shapelets for Semi-Supervised Time-Series Classification Zhen Liu, Wenbin Pei, Disen Lan, Qianli Ma

CVPR 2024 FINER: Flexible Spectral-Bias Tuning in Implicit NEural Representation by Variable-Periodic Activation Functions Zhen Liu, Hao Zhu, Qi Zhang, Jingde Fu, Weibing Deng, Zhan Ma, Yanwen Guo, Xun Cao

ICLR 2024 Ghost on the Shell: An Expressive Representation of General 3D Shapes Zhen Liu, Yao Feng, Yuliang Xiu, Weiyang Liu, Liam Paull, Michael J. Black, Bernhard Schölkopf

NeurIPS 2024 Knowledge-Empowered Dynamic Graph Network for Irregularly Sampled Medical Time Series Yicheng Luo, Zhen Liu, Linghao Wang, Junhao Zheng, Binquan Wu, Qianli Ma

TMLR 2024 Large Language Models Synergize with Automated Machine Learning Jinglue Xu, Jialong Li, Zhen Liu, Nav Suryanarayanan, Guoyuan Zhou, Jia Guo, Hitoshi Iba, Kenji Tei

ICLR 2024 Learning over Molecular Conformer Ensembles: Datasets and Benchmarks Yanqiao Zhu, Jeehyun Hwang, Keir Adams, Zhen Liu, Bozhao Nan, Brock Stenfors, Yuanqi Du, Jatin Chauhan, Olaf Wiest, Olexandr Isayev, Connor W. Coley, Yizhou Sun, Wei Wang

CVPRW 2024 NTIRE 2024 Challenge on Bracketing Image Restoration and Enhancement: Datasets, Methods and Results Zhilu Zhang, Shuohao Zhang, Renlong Wu, Wangmeng Zuo, Radu Timofte, Xiaoxia Xing, Hyunhee Park, Sejun Song, Changho Kim, Xiangyu Kong, Jinlong Wu, Jianxing Zhang, Jingfan Tan, Zikun Liu, Wenhan Luo, Wenjie Lin, Chengzhi Jiang, Mingyan Han, Zhen Liu, Ting Jiang, Jinting Luo, Shen Cheng, Linze Li, Xinhan Niu, Shuaicheng Liu, Kexin Dai, Kangzhen Yang, Tao Hu, Xiangyu Chen, Yu Cao, Qingsen Yan, Yanning Zhang, Genggeng Chen, Yongqing Yang, Wei Dong, Xinwei Dai, Yuanbo Zhou, Xintao Qiu, Hui Tang, Wei Deng, Qingquan Gao, Tong Tong, Peng Zhang, Yifei Chen, Wenbo Xiong, Zhijun Song, Pu Cheng, Taolue Feng, Yunqing He, Daiguo Zhou, Ying Huang, Xiaowen Ma, Peng Wu

ICLR 2024 Parameter-Efficient Orthogonal Finetuning via Butterfly Factorization 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

AAAI 2024 Uncertainty-Aware Yield Prediction with Multimodal Molecular Features Jiayuan Chen, Kehan Guo, Zhen Liu, Olexandr Isayev, Xiangliang Zhang

IJCAI 2023 CTW: Confident Time-Warping for Time-Series Label-Noise Learning Peitian Ma, Zhen Liu, Junhao Zheng, Linghao Wang, Qianli Ma

TMLR 2023 Continual Learning by Modeling Intra-Class Variation Longhui Yu, Tianyang Hu, Lanqing Hong, Zhen Liu, Adrian Weller, Weiyang Liu

NeurIPS 2023 Controlling Text-to-Image Diffusion by Orthogonal Finetuning Zeju Qiu, Weiyang Liu, Haiwen Feng, Yuxuan Xue, Yao Feng, Zhen Liu, Dan Zhang, Adrian Weller, Bernhard Schölkopf

CVPR 2023 DINER: Disorder-Invariant Implicit Neural Representation Shaowen Xie, Hao Zhu, Zhen Liu, Qi Zhang, You Zhou, Xun Cao, Zhan Ma

AISTATS 2023 Iterative Teaching by Data Hallucination Zeju Qiu, Weiyang Liu, Tim Z. Xiao, Zhen Liu, Umang Bhatt, Yucen Luo, Adrian Weller, Bernhard Schölkopf

NeurIPSW 2023 Learning over Molecular Conformer Ensembles: Datasets and Benchmarks Yanqiao Zhu, Jeehyun Hwang, Keir Adams, Zhen Liu, Bozhao Nan, Brock Stenfors, Yuanqi Du, Jatin Chauhan, Olaf Wiest, Olexandr Isayev, Connor Coley, Yizhou Sun, Wei Wang

AAAI 2023 Locate Then Generate: Bridging Vision and Language with Bounding Box for Scene-Text VQA Yongxin Zhu, Zhen Liu, Yukang Liang, Xin Li, Hao Liu, Changcun Bao, Linli Xu

ICCV 2023 Low-Light Image Enhancement with Illumination-Aware Gamma Correction and Complete Image Modelling Network Yinglong Wang, Zhen Liu, Jianzhuang Liu, Songcen Xu, Shuaicheng Liu

ICLR 2023 MeshDiffusion: Score-Based Generative 3D Mesh Modeling Zhen Liu, Yao Feng, Michael J. Black, Derek Nowrouzezahrai, Liam Paull, Weiyang Liu

ICCV 2023 Minimum Latency Deep Online Video Stabilization Zhuofan Zhang, Zhen Liu, Ping Tan, Bing Zeng, Shuaicheng Liu

NeurIPS 2023 Scale-Teaching: Robust Multi-Scale Training for Time Series Classification with Noisy Labels Zhen Liu, Ma Peitian, Dongliang Chen, Wenbin Pei, Qianli Ma

AAAI 2023 Temporal-Frequency Co-Training for Time Series Semi-Supervised Learning Zhen Liu, Qianli Ma, Peitian Ma, Linghao Wang

TMLR 2023 Using Representation Expressiveness and Learnability to Evaluate Self-Supervised Learning Methods Yuchen Lu, Zhen Liu, Aristide Baratin, Romain Laroche, Aaron Courville, Alessandro Sordoni

ICML 2022 Generative Flow Networks for Discrete Probabilistic Modeling Dinghuai Zhang, Nikolay Malkin, Zhen Liu, Alexandra Volokhova, Aaron Courville, Yoshua Bengio

ECCV 2022 Ghost-Free High Dynamic Range Imaging with Context-Aware Transformer Zhen Liu, Yinglong Wang, Bing Zeng, Shuaicheng Liu

CVPRW 2022 NTIRE 2022 Challenge on High Dynamic Range Imaging: Methods and Results Eduardo Pérez-Pellitero, Sibi Catley-Chandar, Richard Shaw, Ales Leonardis, Radu Timofte, Zexin Zhang, Cen Liu, Yunbo Peng, Yue Lin, Gaocheng Yu, Jin Zhang, Zhe Ma, Hongbin Wang, Xiangyu Chen, Xintao Wang, Haiwei Wu, Lin Liu, Chao Dong, Jiantao Zhou, Qingsen Yan, Song Zhang, Weiye Chen, Yuhang Liu, Zhen Zhang, Yanning Zhang, Javen Qinfeng Shi, Dong Gong, Dan Zhu, Mengdi Sun, Guannan Chen, Yang Hu, Haowei Li, Baozhu Zou, Zhen Liu, Wenjie Lin, Ting Jiang, Chengzhi Jiang, Xinpeng Li, Mingyan Han, Haoqiang Fan, Jian Sun, Shuaicheng Liu, Juan Marín-Vega, Michael Sloth, Peter Schneider-Kamp, Richard Röttger, Chunyang Li, Long Bao, Gang He, Ziyao Xu, Li Xu, Gen Zhan, Ming Sun, Xing Wen, Junlin Li, Jinjing Li, Chenghua Li, Ruipeng Gang, Fangya Li, Chenming Liu, Shuang Feng, Fei Lei, Rui Liu, Junxiang Ruan, Tianhong Dai, Wei Li, Zhan Lu, Hengyan Liu, Peian Huang, Guangyu Ren, Yonglin Luo, Chang Liu, Qiang Tu, Sai Ma, Yizhen Cao, Steven Tel, Barthelemy Heyrman, Dominique Ginhac, Chul Lee, Gahyeon Kim, Seonghyun Park, An Gia Vien, Truong Thanh Nhat Mai, Howoon Yoon, Tu Vo, Alexander Holston, Sheir Zaheer, Chan Y. Park

ECCV 2022 Structural Causal 3D Reconstruction Weiyang Liu, Zhen Liu, Liam Paull, Adrian Weller, Bernhard Schölkopf

AISTATS 2021 Learning with Hyperspherical Uniformity Weiyang Liu, Rongmei Lin, Zhen Liu, Li Xiong, Bernhard Schölkopf, Adrian Weller

NeurIPS 2021 A Consciousness-Inspired Planning Agent for Model-Based Reinforcement Learning Mingde Zhao, Zhen Liu, Sitao Luan, Shuyuan Zhang, Doina Precup, Yoshua Bengio

NeurIPSW 2021 A Consciousness-Inspired Planning Agent for Model-Based Reinforcement Learning Harry Zhao, Zhen Liu, Sitao Luan, Shuyuan Zhang, Doina Precup, Yoshua Bengio

CVPRW 2021 ADNet: Attention-Guided Deformable Convolutional Network for High Dynamic Range Imaging Zhen Liu, Wenjie Lin, Xinpeng Li, Qing Rao, Ting Jiang, Mingyan Han, Haoqiang Fan, Jian Sun, Shuaicheng Liu

NeurIPS 2021 Iterative Teaching by Label Synthesis Weiyang Liu, Zhen Liu, Hanchen Wang, Liam Paull, Bernhard Schölkopf, Adrian Weller

CVPR 2021 Orthogonal Over-Parameterized Training Weiyang Liu, Rongmei Lin, Zhen Liu, James M. Rehg, Liam Paull, Li Xiong, Le Song, Adrian Weller

NeurIPS 2019 Exponential Family Estimation via Adversarial Dynamics Embedding Bo Dai, Zhen Liu, Hanjun Dai, Niao He, Arthur Gretton, Le Song, Dale Schuurmans

NeurIPS 2019 Neural Similarity Learning Weiyang Liu, Zhen Liu, James M. Rehg, Le Song

NeurIPS 2018 Coupled Variational Bayes via Optimization Embedding Bo Dai, Hanjun Dai, Niao He, Weiyang Liu, Zhen Liu, Jianshu Chen, Lin Xiao, Le Song

NeurIPS 2018 Learning Towards Minimum Hyperspherical Energy Weiyang Liu, Rongmei Lin, Zhen Liu, Lixin Liu, Zhiding Yu, Bo Dai, Le Song

ICML 2018 SBEED: Convergent Reinforcement Learning with Nonlinear Function Approximation Bo Dai, Albert Shaw, Lihong Li, Lin Xiao, Niao He, Zhen Liu, Jianshu Chen, Le Song

ICML 2018 Towards Black-Box Iterative Machine Teaching Weiyang Liu, Bo Dai, Xingguo Li, Zhen Liu, James Rehg, Le Song

AAAI 2007 A Planning Approach for Message-Oriented Semantic Web Service Composition Zhen Liu, Anand Ranganathan, Anton Riabov

AAAI 2005 Planning for Stream Processing Systems Anton Riabov, Zhen Liu