Liao, Renjie

50 publications

TMLR 2025 Joint Generative Modeling of Grounded Scene Graphs and Images via Diffusion Models Bicheng Xu, Qi Yan, Renjie Liao, Lele Wang, Leonid Sigal

CVPR 2025 LatentHOI: On the Generalizable Hand Object Motion Generation with Latent Hand Diffusion. Muchen Li, Sammy Christen, Chengde Wan, Yujun Cai, Renjie Liao, Leonid Sigal, Shugao Ma

ICML 2025 Leveraging Online Olympiad-Level Math Problems for LLMs Training and Contamination-Resistant Evaluation Sadegh Mahdavi, Muchen Li, Kaiwen Liu, Christos Thrampoulidis, Leonid Sigal, Renjie Liao

CVPR 2025 MoFlow: One-Step Flow Matching for Human Trajectory Forecasting via Implicit Maximum Likelihood Estimation Based Distillation Yuxiang Fu, Qi Yan, Lele Wang, Ke Li, Renjie Liao

NeurIPS 2025 Neural MJD: Neural Non-Stationary Merton Jump Diffusion for Time Series Prediction Yuanpei Gao, Qi Yan, Yan Leng, Renjie Liao

NeurIPS 2025 RETRO SYNFLOW: Discrete Flow-Matching for Accurate and Diverse Single-Step Retrosynthesis Robin Yadav, Qi Yan, Guy Wolf, Joey Bose, Renjie Liao

ICLR 2025 SymmetricDiffusers: Learning Discrete Diffusion on Finite Symmetric Groups Yongxing Zhang, Donglin Yang, Renjie Liao

ICMLW 2024 From Graph Diffusion to Graph Classification Jia Jun Cheng Xian, Sadegh Mahdavi, Renjie Liao, Oliver Schulte

ICMLW 2024 Fréchet Video Motion Distance: A Metric for Evaluating Motion Consistency in Videos Jiahe Liu, Youran Qu, Qi Yan, Xiaohui Zeng, Lele Wang, Renjie Liao

CVPR 2024 Generative 3D Part Assembly via Part-Whole-Hierarchy Message Passing Bi'an Du, Xiang Gao, Wei Hu, Renjie Liao

ICML 2024 Learning Latent Structures in Network Games via Data-Dependent Gated-Prior Graph Variational Autoencoders Xue Yu, Muchen Li, Yan Leng, Renjie Liao

ICLR 2024 Memorization Capacity of Multi-Head Attention in Transformers Sadegh Mahdavi, Renjie Liao, Christos Thrampoulidis

CVPRW 2024 NTIRE 2024 Quality Assessment of AI-Generated Content Challenge Xiaohong Liu, Xiongkuo Min, Guangtao Zhai, Chunyi Li, Tengchuan Kou, Wei Sun, Haoning Wu, Yixuan Gao, Yuqin Cao, Zicheng Zhang, Xiele Wu, Radu Timofte, Fei Peng, Huiyuan Fu, Anlong Ming, Chuanming Wang, Huadong Ma, Shuai He, Zifei Dou, Shu Chen, Huacong Zhang, Haiyi Xie, Chengwei Wang, Baoying Chen, Jishen Zeng, Jianquan Yang, Weigang Wang, Xi Fang, Xiaoxin Lv, Jun Yan, Tianwu Zhi, Yabin Zhang, Yaohui Li, Yang Li, Jingwen Xu, Jianzhao Liu, Yiting Liao, Junlin Li, Zihao Yu, Fengbin Guan, Yiting Lu, Xin Li, Hossein Motamednia, S. Farhad Hosseini-Benvidi, Ahmad Mahmoudi-Aznaveh, Azadeh Mansouri, Ganzorig Gankhuyag, Kihwan Yoon, Yifang Xu, Haotian Fan, Fangyuan Kong, Shiling Zhao, Weifeng Dong, Haibing Yin, Li Zhu, Zhiling Wang, Bingchen Huang, Avinab Saha, Sandeep Mishra, Shashank Gupta, Rajesh Sureddi, Oindrila Saha, Luigi Celona, Simone Bianco, Paolo Napoletano, Raimondo Schettini, Junfeng Yang, Jing Fu, Wei Zhang, Wenzhi Cao, Limei Liu, Han Peng, Weijun Yuan, Zhan Li, Yihang Cheng, Yifan Deng, Haohui Li, Bowen Qu, Yao Li, Shuqing Luo, Shunzhou Wang, Wei Gao, Zihao Lu, Marcos V. Conde, Xinrui Wang, Zhibo Chen, Ruling Liao, Yan Ye, Qiulin Wang, Bing Li, Zhaokun Zhou, Miao Geng, Rui Chen, Xin Tao, Xiaoyu Liang, Shangkun Sun, Xingyuan Ma, Jiaze Li, Mengduo Yang, Haoran Xu, Jie Zhou, Shiding Zhu, Bohan Yu, Pengfei Chen, Xinrui Xu, Jiabin Shen, Zhichao Duan, Erfan Asadi, Jiahe Liu, Qi Yan, Youran Qu, Xiaohui Zeng, Lele Wang, Renjie Liao

WACV 2024 Self-Supervised Relation Alignment for Scene Graph Generation Bicheng Xu, Renjie Liao, Leonid Sigal

TMLR 2024 SwinGNN: Rethinking Permutation Invariance in Diffusion Models for Graph Generation Qi Yan, Zhengyang Liang, Yang Song, Renjie Liao, Lele Wang

TMLR 2023 GraphPNAS: Learning Probabilistic Graph Generators for Neural Architecture Search Muchen Li, Jeffrey Yunfan Liu, Leonid Sigal, Renjie Liao

WACV 2023 NeuralBF: Neural Bilateral Filtering for Top-Down Instance Segmentation on Point Clouds Weiwei Sun, Daniel Rebain, Renjie Liao, Vladimir Tankovich, Soroosh Yazdani, Kwang Moo Yi, Andrea Tagliasacchi

ICLR 2023 Scaling Forward Gradient with Local Losses Mengye Ren, Simon Kornblith, Renjie Liao, Geoffrey Hinton

ICLR 2023 Specformer: Spectral Graph Neural Networks Meet Transformers Deyu Bo, Chuan Shi, Lele Wang, Renjie Liao

TMLR 2023 Towards Better Out-of-Distribution Generalization of Neural Algorithmic Reasoning Tasks Sadegh Mahdavi, Kevin Swersky, Thomas Kipf, Milad Hashemi, Christos Thrampoulidis, Renjie Liao

WACV 2023 VLC-BERT: Visual Question Answering with Contextualized Commonsense Knowledge Sahithya Ravi, Aditya Chinchure, Leonid Sigal, Renjie Liao, Vered Shwartz

ICLR 2021 A PAC-Bayesian Approach to Generalization Bounds for Graph Neural Networks Renjie Liao, Raquel Urtasun, Richard Zemel

ICML 2021 Accelerating Feedforward Computation via Parallel Nonlinear Equation Solving Yang Song, Chenlin Meng, Renjie Liao, Stefano Ermon

ICCV 2021 LookOut: Diverse Multi-Future Prediction and Planning for Self-Driving Alexander Cui, Sergio Casas, Abbas Sadat, Renjie Liao, Raquel Urtasun

UAI 2021 NP-DRAW: A Non-Parametric Structured Latent Variable Model for Image Generation Xiaohui Zeng, Raquel Urtasun, Richard Zemel, Sanja Fidler, Renjie Liao

ECCV 2020 DSDNet: Deep Structured Self-Driving Network Wenyuan Zeng, Shenlong Wang, Renjie Liao, Yun Chen, Bin Yang, Raquel Urtasun

ECCV 2020 Implicit Latent Variable Model for Scene-Consistent Motion Forecasting Sergio Casas, Cole Gulino, Simon Suo, Katie Luo, Renjie Liao, Raquel Urtasun

ICML 2020 Latent Variable Modelling with Hyperbolic Normalizing Flows Joey Bose, Ariella Smofsky, Renjie Liao, Prakash Panangaden, Will Hamilton

ECCV 2020 Learning Lane Graph Representations for Motion Forecasting Ming Liang, Bin Yang, Rui Hu, Yun Chen, Renjie Liao, Song Feng, Raquel Urtasun

ECCV 2020 Testing the Safety of Self-Driving Vehicles by Simulating Perception and Prediction Kelvin Wong, Qiang Zhang, Ming Liang, Bin Yang, Renjie Liao, Abbas Sadat, Raquel Urtasun

CoRL 2019 Discrete Residual Flow for Probabilistic Pedestrian Behavior Prediction Ajay Jain, Sergio Casas, Renjie Liao, Yuwen Xiong, Song Feng, Sean Segal, Raquel Urtasun

NeurIPS 2019 Efficient Graph Generation with Graph Recurrent Attention Networks Renjie Liao, Yujia Li, Yang Song, Shenlong Wang, Will Hamilton, David K. Duvenaud, Raquel Urtasun, Richard Zemel

NeurIPS 2019 Incremental Few-Shot Learning with Attention Attractor Networks Mengye Ren, Renjie Liao, Ethan Fetaya, Richard Zemel

ICLR 2019 LanczosNet: Multi-Scale Deep Graph Convolutional Networks Renjie Liao, Zhizhen Zhao, Raquel Urtasun, Richard Zemel

ICML 2019 Lorentzian Distance Learning for Hyperbolic Representations Marc Law, Renjie Liao, Jake Snell, Richard Zemel

ICLR 2018 NerveNet: Learning Structured Policy with Graph Neural Networks Tingwu Wang, Renjie Liao, Jimmy Ba, Sanja Fidler

NeurIPS 2018 Neural Guided Constraint Logic Programming for Program Synthesis Lisa Zhang, Gregory Rosenblatt, Ethan Fetaya, Renjie Liao, William Byrd, Matthew Might, Raquel Urtasun, Richard Zemel

ICML 2018 Reviving and Improving Recurrent Back-Propagation Renjie Liao, Yuwen Xiong, Ethan Fetaya, Lisa Zhang, KiJung Yoon, Xaq Pitkow, Raquel Urtasun, Richard Zemel

ICLR 2018 Understanding Short-Horizon Bias in Stochastic Meta-Optimization Yuhuai Wu, Mengye Ren, Renjie Liao, Roger Grosse.

ICCV 2017 3D Graph Neural Networks for RGBD Semantic Segmentation Xiaojuan Qi, Renjie Liao, Jiaya Jia, Sanja Fidler, Raquel Urtasun

ICCV 2017 Detail-Revealing Deep Video Super-Resolution Xin Tao, Hongyun Gao, Renjie Liao, Jue Wang, Jiaya Jia

ICLR 2017 Normalizing the Normalizers: Comparing and Extending Network Normalization Schemes Mengye Ren, Renjie Liao, Raquel Urtasun, Fabian H. Sinz, Richard S. Zemel

ICCV 2017 Situation Recognition with Graph Neural Networks Ruiyu Li, Makarand Tapaswi, Renjie Liao, Jiaya Jia, Raquel Urtasun, Sanja Fidler

NeurIPS 2016 Learning Deep Parsimonious Representations Renjie Liao, Alex Schwing, Richard Zemel, Raquel Urtasun

ICML 2015 Deep Edge-Aware Filters Li Xu, Jimmy Ren, Qiong Yan, Renjie Liao, Jiaya Jia

CVPR 2015 Handling Motion Blur in Multi-Frame Super-Resolution Ziyang Ma, Renjie Liao, Xin Tao, Li Xu, Jiaya Jia, Enhua Wu

ICCV 2015 Semantic Segmentation with Object Clique Potential Xiaojuan Qi, Jianping Shi, Shu Liu, Renjie Liao, Jiaya Jia

ICCV 2015 Video Super-Resolution via Deep Draft-Ensemble Learning Renjie Liao, Xin Tao, Ruiyu Li, Ziyang Ma, Jiaya Jia

CVPR 2014 Learning Important Spatial Pooling Regions for Scene Classification Di Lin, Cewu Lu, Renjie Liao, Jiaya Jia

ICCV 2013 CoDeL: A Human Co-Detection and Labeling Framework Jianping Shi, Renjie Liao, Jiaya Jia