Liu, Yan

105 publications

ICLR 2025 A Large-Scale Dataset and Benchmark for Commuting Origin-Destination Flow Generation Can Rong, Jingtao Ding, Yan Liu, Yong Li

AAAI 2025 Alleviating Shifted Distribution in Human Preference Alignment Through Meta-Learning Shihan Dou, Yan Liu, Enyu Zhou, Songyang Gao, Tianlong Li, Limao Xiong, Xin Zhao, Haoxiang Jia, Junjie Ye, Rui Zheng, Tao Gui, Qi Zhang, Xuanjing Huang

ICLRW 2025 Atomic Posterior Ensembles for Simulation-Based Inference Sam Griesemer, Willie Neiswanger, Yan Liu

IJCAI 2025 CompLex: Music Theory Lexicon Constructed by Autonomous Agents for Automatic Music Generation Zhejing Hu, Yan Liu, Gong Chen, Bruce X. B. Yu

AAAI 2025 Compose with Me: Collaborative Music Inpainter for Symbolic Music Infilling Zhejing Hu, Yan Liu, Gong Chen, Bruce X. B. Yu

ICCV 2025 E-NeMF: Event-Based Neural Motion Field for Novel Space-Time View Synthesis of Dynamic Scenes Yan Liu, Zehao Chen, Haojie Yan, De Ma, Huajin Tang, Qian Zheng, Gang Pan

IJCAI 2025 EDyGS: Event Enhanced Dynamic 3D Radiance Fields from Blurry Monocular Video Mengxu Lu, Zehao Chen, Yan Liu, De Ma, Huajin Tang, Qian Zheng, Gang Pan

NeurIPS 2025 EvaLearn: Quantifying the Learning Capability and Efficiency of LLMs via Sequential Problem Solving Shihan Dou, Ming Zhang, Chenhao Huang, Jiayi Chen, Feng Chen, Shichun Liu, Yan Liu, Chenxiao Liu, Cheng Zhong, Zongzhang Zhang, Tao Gui, Chao Xin, Wei Chengzhi, Lin Yan, Qi Zhang, Xuanjing Huang

ICLR 2025 InstaSHAP: Interpretable Additive Models Explain Shapley Values Instantly James Enouen, Yan Liu

AAAI 2025 Mixture of Knowledge Minigraph Agents for Literature Review Generation Zhi Zhang, Yan Liu, Sheng-hua Zhong, Gong Chen, Yu Yang, Jiannong Cao

TMLR 2025 Physics-Aware Spatiotemporal Causal Graph Network for Forecasting with Limited Data Zijun Cui, Sam Griesemer, Sungyong Seo, Joshua Hikida, Yan Liu

ICML 2025 SERENA: A Unified Stochastic Recursive Variance Reduced Gradient Framework for Riemannian Non-Convex Optimization Yan Liu, Mingjie Chen, Chaojie Ji, Hao Zhang, Ruxin Wang

NeurIPS 2025 Semantic Surgery: Zero-Shot Concept Erasure in Diffusion Models Lexiang Xiong, Liu Chengyu, Jingwen Ye, Yan Liu, Yuecong Xu

IJCAI 2025 Stackelberg vs. Nash in the Lottery Colonel Blotto Game Yan Liu, Bonan Ni, Weiran Shen, Zihe Wang, Jie Zhang

NeurIPS 2024 Active Sequential Posterior Estimation for Sample-Efficient Simulation-Based Inference Sam Griesemer, Defu Cao, Zijun Cui, Carolina Osorio, Yan Liu

ICML 2024 An Empirical Examination of Balancing Strategy for Counterfactual Estimation on Time Series Qiang Huang, Chuizheng Meng, Defu Cao, Biwei Huang, Yi Chang, Yan Liu

AAAI 2024 Beyond Mimicking Under-Represented Emotions: Deep Data Augmentation with Emotional Subspace Constraints for EEG-Based Emotion Recognition Zhi Zhang, Shenghua Zhong, Yan Liu

IJCAI 2024 D3ETR: Decoder Distillation for Detection Transformer Xiaokang Chen, Jiahui Chen, Yan Liu, Jiaxiang Tang, Gang Zeng

AAAI 2024 GPT4MTS: Prompt-Based Large Language Model for Multimodal Time-Series Forecasting Furong Jia, Kevin Wang, Yixiang Zheng, Defu Cao, Yan Liu

IJCAI 2024 MuChin: A Chinese Colloquial Description Benchmark for Evaluating Language Models in the Field of Music Zihao Wang, Shuyu Li, Tao Zhang, Qi Wang, Pengfei Yu, Jinyang Luo, Yan Liu, Ming Xi, Kejun Zhang

NeurIPS 2024 Physics-Constrained Comprehensive Optical Neural Networks Yanbing Liu, Jianwei Qin, Yan Liu, Xi Yue, Xun Liu, Guoqing Wang, Tianyu Li, Fangwei Ye, Wei Li

ICML 2024 Position: TrustLLM: Trustworthiness in Large Language Models Yue Huang, Lichao Sun, Haoran Wang, Siyuan Wu, Qihui Zhang, Yuan Li, Chujie Gao, Yixin Huang, Wenhan Lyu, Yixuan Zhang, Xiner Li, Hanchi Sun, Zhengliang Liu, Yixin Liu, Yijue Wang, Zhikun Zhang, Bertie Vidgen, Bhavya Kailkhura, Caiming Xiong, Chaowei Xiao, Chunyuan Li, Eric P. Xing, Furong Huang, Hao Liu, Heng Ji, Hongyi Wang, Huan Zhang, Huaxiu Yao, Manolis Kellis, Marinka Zitnik, Meng Jiang, Mohit Bansal, James Zou, Jian Pei, Jian Liu, Jianfeng Gao, Jiawei Han, Jieyu Zhao, Jiliang Tang, Jindong Wang, Joaquin Vanschoren, John Mitchell, Kai Shu, Kaidi Xu, Kai-Wei Chang, Lifang He, Lifu Huang, Michael Backes, Neil Zhenqiang Gong, Philip S. Yu, Pin-Yu Chen, Quanquan Gu, Ran Xu, Rex Ying, Shuiwang Ji, Suman Jana, Tianlong Chen, Tianming Liu, Tianyi Zhou, William Yang Wang, Xiang Li, Xiangliang Zhang, Xiao Wang, Xing Xie, Xun Chen, Xuyu Wang, Yan Liu, Yanfang Ye, Yinzhi Cao, Yong Chen, Yue Zhao

AAAI 2024 Responding to the Call: Exploring Automatic Music Composition Using a Knowledge-Enhanced Model Zhejing Hu, Yan Liu, Gong Chen, Xiao Ma, Shenghua Zhong, Qianwen Luo

ECML-PKDD 2024 Semi-Automated Construction of Complex Knowledge Base Question Answering Dataset Using Large Language Model Lily Hoang, Fiona Liausvia, Yan Liu, Thanh-Son Nguyen

AAAI 2024 Spiking NeRF: Representing the Real-World Geometry by a Discontinuous Representation Zhanfeng Liao, Yan Liu, Qian Zheng, Gang Pan

ICLR 2024 TEMPO: Prompt-Based Generative Pre-Trained Transformer for Time Series Forecasting Defu Cao, Furong Jia, Sercan O Arik, Tomas Pfister, Yixiang Zheng, Wen Ye, Yan Liu

ICLR 2024 The Devil Is in the Neurons: Interpreting and Mitigating Social Biases in Language Models Yan Liu, Yu Liu, Xiaokang Chen, Pin-Yu Chen, Daoguang Zan, Min-Yen Kan, Tsung-Yi Ho

ICMLW 2024 TimeDiT: General-Purpose Diffusion Transformers for Time Series Foundation Model Defu Cao, Wen Ye, Yan Liu

NeurIPSW 2023 Delve into PPO: Implementation Matters for Stable RLHF Rui Zheng, Shihan Dou, Songyang Gao, Yuan Hua, Wei Shen, Binghai Wang, Yan Liu, Senjie Jin, Yuhao Zhou, Limao Xiong, Lu Chen, Zhiheng Xi, Nuo Xu, Wenbin Lai, Minghao Zhu, Haoran Huang, Tao Gui, Qi Zhang, Xuanjing Huang

AAAI 2023 Estimating Treatment Effects from Irregular Time Series Observations with Hidden Confounders Defu Cao, James Enouen, Yujing Wang, Xiangchen Song, Chuizheng Meng, Hao Niu, Yan Liu

ICCV 2023 GLA-GCN: Global-Local Adaptive Graph Convolutional Network for 3D Human Pose Estimation from Monocular Video Bruce X.B. Yu, Zhi Zhang, Yongxu Liu, Sheng-hua Zhong, Yan Liu, Chang Wen Chen

NeurIPS 2023 Hierarchical Gaussian Mixture Based Task Generative Model for Robust Meta-Learning Yizhou Zhang, Jingchao Ni, Wei Cheng, Zhengzhang Chen, Liang Tong, Haifeng Chen, Yan Liu

CVPR 2023 SVGformer: Representation Learning for Continuous Vector Graphics Using Transformers Defu Cao, Zhaowen Wang, Jose Echevarria, Yan Liu

NeurIPS 2023 Uncovering and Quantifying Social Biases in Code Generation Yan Liu, Xiaokang Chen, Yan Gao, Zhe Su, Fengji Zhang, Daoguang Zan, Jian-Guang Lou, Pin-Yu Chen, Tsung-Yi Ho

NeurIPSW 2022 A Synthetic Limit Order Book Dataset for Benchmarking Forecasting Algorithms Under Distributional Shift Defu Cao, Yousef El-Laham, Loc Trinh, Svitlana Vyetrenko, Yan Liu

NeurIPS 2022 Counterfactual Neural Temporal Point Process for Estimating Causal Influence of Misinformation on Social Media Yizhou Zhang, Defu Cao, Yan Liu

IJCAI 2022 EGCN: An Ensemble-Based Learning Framework for Exploring Effective Skeleton-Based Rehabilitation Exercise Assessment Bruce X. B. Yu, Yan Liu, Xiang Zhang, Gong Chen, Keith C. C. Chan

AAAI 2022 I-SEA: Importance Sampling and Expected Alignment-Based Deep Distance Metric Learning for Time Series Analysis and Embedding Sirisha Rambhatla, Zhengping Che, Yan Liu

IJCAI 2022 Physics-Informed Long-Sequence Forecasting from Multi-Resolution Spatiotemporal Data Chuizheng Meng, Hao Niu, Guillaume Habault, Roberto Legaspi, Shinya Wada, Chihiro Ono, Yan Liu

NeurIPS 2022 Sparse Interaction Additive Networks via Feature Interaction Detection and Sparse Selection James Enouen, Yan Liu

IJCAI 2021 An Examination of Fairness of AI Models for Deepfake Detection Loc Trinh, Yan Liu

AAAI 2021 Depth Privileged Object Detection in Indoor Scenes via Deformation Hallucination Zhijie Zhang, Yan Liu, Junjie Chen, Li Niu, Liqing Zhang

UAI 2021 Gradient-Based Optimization for Multi-Resource Spatial Coverage Problems Nitin Kamra, Yan Liu

WACV 2021 Interpretable and Trustworthy Deepfake Detection via Dynamic Prototypes Loc Trinh, Michael Tsang, Sirisha Rambhatla, Yan Liu

NeurIPS 2021 Mixed Supervised Object Detection by Transferring Mask Prior and Semantic Similarity Yan Liu, Zhijie Zhang, Li Niu, Junjie Chen, Liqing Zhang

AAAI 2021 Multimodal Fusion via Teacher-Student Network for Indoor Action Recognition Bruce X. B. Yu, Yan Liu, Keith C. C. Chan

IJCAI 2021 Physics-Aware Spatiotemporal Modules with Auxiliary Tasks for Meta-Learning Sungyong Seo, Chuizheng Meng, Sirisha Rambhatla, Yan Liu

NeurIPS 2021 VigDet: Knowledge Informed Neural Temporal Point Process for Coordination Detection on Social Media Yizhou Zhang, Karishma Sharma, Yan Liu

ICLR 2020 Feature Interaction Interpretability: A Case for Explaining Ad-Recommendation Systems via Neural Interaction Detection Michael Tsang, Dehua Cheng, Hanpeng Liu, Xue Feng, Eric Zhou, Yan Liu

AAAI 2020 Generative Attention Networks for Multi-Agent Behavioral Modeling Max Guangyu Li, Bo Jiang, Hao Zhu, Zhengping Che, Yan Liu

NeurIPS 2020 How Does This Interaction Affect Me? Interpretable Attribution for Feature Interactions Michael Tsang, Sirisha Rambhatla, Yan Liu

NeurIPS 2020 Multi-Agent Trajectory Prediction with Fuzzy Query Attention Nitin Kamra, Hao Zhu, Dweep Kumarbhai Trivedi, Ming Zhang, Yan Liu

ECCV 2020 NoiseRank: Unsupervised Label Noise Reduction with Dependence Models Karishma Sharma, Pinar Donmez, Enming Luo, Yan Liu, I. Zeki Yalniz

ICLR 2020 Physics-Aware Difference Graph Networks for Sparsely-Observed Dynamics Sungyong Seo, Chuizheng Meng, Yan Liu

ECCV 2020 Semi-Supervised Crowd Counting via Self-Training on Surrogate Tasks Yan Liu, Lingqiao Liu, Peng Wang, Pingping Zhang, Yinjie Lei

ICLR 2019 Adaptive Gradient Methods with Dynamic Bound of Learning Rate Liangchen Luo, Yuanhao Xiong, Yan Liu, Xu Sun

ICCVW 2019 DBUS: Human Driving Behavior Understanding System Max Guangyu Li, Bo Jiang, Zhengping Che, Xuefeng Shi, Mengyao Liu, Yiping Meng, Jieping Ye, Yan Liu

CVPRW 2019 NTIRE 2019 Image Dehazing Challenge Report Codruta O. Ancuti, Cosmin Ancuti, Radu Timofte, Luc Van Gool, Lei Zhang, Ming-Hsuan Yang, Tiantong Guo, Xuelu Li, Venkateswararao Cherukuri, Vishal Monga, Hao Jiang, Siyuan Yang, Yan Liu, Xiaochao Qu, Pengfei Wan, Dongwon Park, Se Young Chun, Ming Hong, Jinying Huang, Yizi Chen, Shuxin Chen, Bomin Wang, Pablo Navarrete Michelini, Hanwen Liu, Dan Zhu, Jing Liu, Sanchayan Santra, Ranjan Mondal, Bhabatosh Chanda, Peter Morales, Tzofi Klinghoffer, Le Manh Quan, Yong-Guk Kim, Xiao Liang, Runde Li, Jinshan Pan, Jinhui Tang, Kuldeep Purohit, Maitreya Suin, A. N. Rajagopalan, Raimondo Schettini, Simone Bianco, Flavio Piccoli, Claudio Cusano, Luigi Celona, Sunhee Hwang, Yu Seung Ma, Hyeran Byun, Subrahmanyam Murala, Akshay Dudhane, Harshjeet Singh Aulakh, Tianxiang Zheng, Tao Zhang, Weining Qin, Runnan Zhou, Shanhu Wang, Jean-Philippe Tarel, Chuansheng Wang, Jiawei Wu

JMLR 2019 Scalable Interpretable Multi-Response Regression via SEED Zemin Zheng, M. Taha Bahadori, Yan Liu, Jinchi Lv

AAAI 2019 Spatiotemporal Multi-Graph Convolution Network for Ride-Hailing Demand Forecasting Xu Geng, Yaguang Li, Leye Wang, Lingyu Zhang, Qiang Yang, Jieping Ye, Yan Liu

ACML 2018 A Scalable Heterogeneous Parallel SOM Based on MPI/CUDA Yao Liu, Jun Sun, Qing Yao, Su Wang, Kai Zheng, Yan Liu

ICLR 2018 Automatically Inferring Data Quality for Spatiotemporal Forecasting Sungyong Seo, Arash Mohegh, George Ban-Weiss, Yan Liu

ICLR 2018 Detecting Statistical Interactions from Neural Network Weights Michael Tsang, Dehua Cheng, Yan Liu

ICLR 2018 Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic Forecasting Yaguang Li, Rose Yu, Cyrus Shahabi, Yan Liu

ICML 2018 Hierarchical Deep Generative Models for Multi-Rate Multivariate Time Series Zhengping Che, Sanjay Purushotham, Guangyu Li, Bo Jiang, Yan Liu

AISTATS 2018 Matrix Completability Analysis via Graph K-Connectivity Dehua Cheng, Natali Ruchansky, Yan Liu

NeurIPS 2018 Neural Interaction Transparency (NIT): Disentangling Learned Interactions for Improved Interpretability Michael Tsang, Hanpeng Liu, Sanjay Purushotham, Pavankumar Murali, Yan Liu

IJCAI 2018 Neural User Response Generator: Fake News Detection with Collective User Intelligence Feng Qian, ChengYue Gong, Karishma Sharma, Yan Liu

AAAI 2018 Policy Learning for Continuous Space Security Games Using Neural Networks Nitin Kamra, Umang Gupta, Fei Fang, Yan Liu, Milind Tambe

AISTATS 2018 Tensor Regression Meets Gaussian Processes Rose Yu, Max Guangyu Li, Yan Liu

ICLR 2017 Variational Recurrent Adversarial Deep Domain Adaptation Sanjay Purushotham, Wilka Carvalho, Tanachat Nilanon, Yan Liu

NeurIPS 2016 Learning Influence Functions from Incomplete Observations Xinran He, Ke Xu, David Kempe, Yan Liu

ICML 2016 Learning from Multiway Data: Simple and Efficient Tensor Regression Rose Yu, Yan Liu

NeurIPS 2016 SPALS: Fast Alternating Least Squares via Implicit Leverage Scores Sampling Dehua Cheng, Richard Peng, Yan Liu, Ioakeim Perros

IJCAI 2016 Timeline Summarization from Social Media with Life Cycle Models Yi Chang, Jiliang Tang, Dawei Yin, Makoto Yamada, Yan Liu

ICML 2015 Accelerated Online Low Rank Tensor Learning for Multivariate Spatiotemporal Streams Rose Yu, Dehua Cheng, Yan Liu

COLT 2015 Efficient Sampling for Gaussian Graphical Models via Spectral Sparsification Dehua Cheng, Yu Cheng, Yan Liu, Richard Peng, Shang-Hua Teng

ICML 2015 Functional Subspace Clustering with Application to Time Series Mohammad Taha Bahadori, David Kale, Yingying Fan, Yan Liu

ICML 2015 HawkesTopic: A Joint Model for Network Inference and Topic Modeling from Text-Based Cascades Xinran He, Theodoros Rekatsinas, James Foulds, Lise Getoor, Yan Liu

AISTATS 2015 Model Selection for Topic Models via Spectral Decomposition Dehua Cheng, Xinran He, Yan Liu

NeurIPS 2014 Fast Multivariate Spatio-Temporal Analysis via Low Rank Tensor Learning Mohammad Taha Bahadori, Qi Yu, Yan Liu

AAAI 2013 Video Saliency Detection via Dynamic Consistent Spatio-Temporal Attention Modelling Sheng-hua Zhong, Yan Liu, Feifei Ren, Jinghuan Zhang, Tongwei Ren

ICML 2012 Collaborative Topic Regression with Social Matrix Factorization for Recommendation Systems Sanjay Purushotham, Yan Liu

AAAI 2012 Query-Oriented Multi-Document Summarization via Unsupervised Deep Learning Yan Liu, Sheng-hua Zhong, Wenjie Li

ICML 2012 Sparse-GEV: Sparse Latent Space Model for Multivariate Extreme Value Time Serie Modeling Yan Liu, Mohammad Taha Bahadori, Hongfei Li

AAAI 2011 Detecting Multilingual and Multi-Regional Query Intent in Web Search Yi Chang, Ruiqiang Zhang, Srihari Reddy, Yan Liu

NeurIPS 2011 Multiple Instance Learning on Structured Data Dan Zhang, Yan Liu, Luo Si, Jian Zhang, Richard D. Lawrence

AAAI 2011 Ordinal Regression via Manifold Learning Yang Liu, Yan Liu, Keith C. C. Chan

AAAI 2011 Transfer Latent Semantic Learning: Microblog Mining with Less Supervision Dan Zhang, Yan Liu, Richard D. Lawrence, Vijil Chenthamarakshan

CVPR 2010 Large-Scale Image Categorization with Explicit Data Embedding Florent Perronnin, Jorge Sánchez, Yan Liu

CVPR 2010 Large-Scale Image Retrieval with Compressed Fisher Vectors Florent Perronnin, Yan Liu, Jorge Sánchez, Hervé Poirier

AAAI 2010 Learning Spatial-Temporal Varying Graphs with Applications to Climate Data Analysis Xi Chen, Yan Liu, Han Liu, Jaime G. Carbonell

ICML 2010 Learning Temporal Causal Graphs for Relational Time-Series Analysis Yan Liu, Alexandru Niculescu-Mizil, Aurélie C. Lozano, Yong Lu

AAAI 2010 Multilinear Maximum Distance Embedding via L1-Norm Optimization Yang Liu, Yan Liu, Keith C. C. Chan

CVPR 2009 A Family of Contextual Measures of Similarity Between Distributions with Application to Image Retrieval Florent Perronnin, Yan Liu, Jean-Michel Renders

CVPR 2009 Modeling Images as Mixtures of Reference Images Florent Perronnin, Yan Liu

ICCVW 2009 Multilinear Isometric Embedding for Visual Pattern Analysis Yan Liu, Yang Liu, Keith C. C. Chan

ICML 2009 Topic-Link LDA: Joint Models of Topic and Author Community Yan Liu, Alexandru Niculescu-Mizil, Wojciech Gryc

CVPR 2008 A Similarity Measure Between Unordered Vector Sets with Application to Image Categorization Yan Liu, Florent Perronnin

IJCAI 2007 Graph-Based Semi-Supervised Learning as a Generative Model Jingrui He, Jaime G. Carbonell, Yan Liu

IJCAI 2007 Protein Quaternary Fold Recognition Using Conditional Graphical Models Yan Liu, Jaime G. Carbonell, Vanathi Gopalakrishnan, Peter Weigele

IJCAI 2007 Semi-Supervised Learning of Attribute-Value Pairs from Product Descriptions Katharina Probst, Rayid Ghani, Marko Krema, Andrew E. Fano, Yan Liu

ICML 2005 Predicting Protein Folds with Structural Repeats Using a Chain Graph Model Yan Liu, Eric P. Xing, Jaime G. Carbonell

ICML 2004 Kernel Conditional Random Fields: Representation and Clique Selection John D. Lafferty, Xiaojin Zhu, Yan Liu

ECML-PKDD 2003 A New Pairwise Ensemble Approach for Text Classification Yan Liu, Jaime G. Carbonell, Rong Jin