Li, Yong

91 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 ASER: Activation Smoothing and Error Reconstruction for Large Language Model Quantization Weibo Zhao, Yubin Shi, Xinyu Lyu, Wanchen Sui, Shen Li, Yong Li

CPAL 2025 AgentHPO: Large Language Model Agent for Hyper-Parameter Optimization Siyi Liu, Chen Gao, Yong Li

NeurIPS 2025 AgentRecBench: Benchmarking LLM Agent-Based Personalized Recommender Systems Yu Shang, Peijie Liu, Yuwei Yan, Zijing Wu, Leheng Sheng, Yuanqing Yu, Chumeng Jiang, An Zhang, Fengli Xu, Yu Wang, Min Zhang, Yong Li

ICLR 2025 AgentSquare: Automatic LLM Agent Search in Modular Design Space Yu Shang, Yu Li, Keyu Zhao, Likai Ma, Jiahe Liu, Fengli Xu, Yong Li

IJCAI 2025 Automated Decision-Making on Networks with LLMs Through Knowledge-Guided Evolution Xiaohan Zheng, Lanning Wei, Yong Li, Quanming Yao

NeurIPS 2025 Balanced Token Pruning: Accelerating Vision Language Models Beyond Local Optimization Kaiyuan Li, Xiaoyue Chen, Chen Gao, Yong Li, Xinlei Chen

IJCAI 2025 CD2: Constrained Dataset Distillation for Few-Shot Class-Incremental Learning Kexin Bao, Daichi Zhang, Hansong Zhang, Yong Li, Yutao Yue, Shiming Ge

ICML 2025 CateKV: On Sequential Consistency for Long-Context LLM Inference Acceleration Haoyun Jiang, Haolin Li, Jianwei Zhang, Fei Huang, Qiang Hu, Minmin Sun, Shuai Xiao, Yong Li, Junyang Lin, Jiangchao Yao

NeurIPS 2025 Diffusion Transformers as Open-World Spatiotemporal Foundation Models Yuan Yuan, Chonghua Han, Jingtao Ding, Guozhen Zhang, Depeng Jin, Yong Li

CPAL 2025 Dual Reasoning: A GNN-LLM Collaborative Framework for Knowledge Graph Question Answering Guangyi Liu, Yongqi Zhang, Yong Li, Quanming Yao

ICML 2025 Efficient Long Context Fine-Tuning with Chunk Flow Xiulong Yuan, Hongtao Xu, Wenting Shen, Ang Wang, Xiafei Qiu, Jie Zhang, Yuqiong Liu, Bowen Yu, Junyang Lin, Mingzhen Li, Weile Jia, Yong Li, Wei Lin

NeurIPS 2025 LLM-Explorer: A Plug-in Reinforcement Learning Policy Exploration Enhancement Driven by Large Language Models Qianyue Hao, Yiwen Song, Qingmin Liao, Jian Yuan, Yong Li

ICML 2025 Learning Attribute-Aware Hash Codes for Fine-Grained Image Retrieval via Query Optimization Peng Wang, Yong Li, Lin Zhao, Xiu-Shen Wei

ICLRW 2025 Learning to Navigate in Open Urban Environments Using a Simple Sim2Real Strategy Lixuan He, Haoyu Dong, Yangcheng Yu, Zhenxing Chen, Jie Feng, Xin Wang, Yong Li

AAAI 2025 MIA-Tuner: Adapting Large Language Models as Pre-Training Text Detector Wenjie Fu, Huandong Wang, Chen Gao, Guanghua Liu, Yong Li, Tao Jiang

ECML-PKDD 2025 Memory-Enhanced Invariant Prompt Learning for Urban Flow Prediction Under Distribution Shifts Haiyang Jiang, Tong Chen, Wentao Zhang, Quoc Viet Hung Nguyen, Yuan Yuan, Yong Li, Hongzhi Yin

IJCAI 2025 OpenCarbon: A Contrastive Learning-Based Cross-Modality Neural Approach for High-Resolution Carbon Emission Prediction Using Open Data Jinwei Zeng, Yu Liu, Guozhen Zhang, Jingtao Ding, Yuming Lin, Jian Yuan, Yong Li

NeurIPS 2025 PID-Controlled Langevin Dynamics for Faster Sampling of Generative Models Hongyi Chen, Jianhai Shu, Jingtao Ding, Yong Li, Xiao-Ping Zhang

ICLR 2025 Predicting the Energy Landscape of Stochastic Dynamical System via Physics-Informed Self-Supervised Learning Ruikun Li, Huandong Wang, Qingmin Liao, Yong Li

AAAI 2025 Re-Attentional Controllable Video Diffusion Editing Yuanzhi Wang, Yong Li, Mengyi Liu, Xiaoya Zhang, Xin Liu, Zhen Cui, Antoni B. Chan

ICML 2025 Reinforcement Learning with Adaptive Reward Modeling for Expensive-to-Evaluate Systems Hongyuan Su, Yu Zheng, Yuan Yuan, Yuming Lin, Depeng Jin, Yong Li

NeurIPS 2025 RoboScape: Physics-Informed Embodied World Model Yu Shang, Xin Zhang, Yinzhou Tang, Lei Jin, Chen Gao, Wei Wu, Yong Li

AAAI 2025 SAM-Aware Graph Prompt Reasoning Network for Cross-Domain Few-Shot Segmentation Shi-Feng Peng, Guolei Sun, Yong Li, Hongsong Wang, Guo-Sen Xie

NeurIPS 2025 Satellites Reveal Mobility: A Commuting Origin-Destination Flow Generator for Global Cities Can Rong, Xin Zhang, Yanxin Xi, Hongjie Sui, Jingtao Ding, Yong Li

ICCV 2025 Seeing 3D Through 2D Lenses: 3D Few-Shot Class-Incremental Learning via Cross-Modal Geometric Rectification Tuo Xiang, Xuemiao Xu, Bangzhen Liu, Jinyi Li, Yong Li, Shengfeng He

ICCV 2025 Semantic Alignment and Reinforcement for Data-Free Quantization of Vision Transformers Yunshan Zhong, Yuyao Zhou, Yuxin Zhang, Wanchen Sui, Shen Li, Yong Li, Fei Chao, Rongrong Ji

NeurIPS 2025 Skrull: Towards Efficient Long Context Fine-Tuning Through Dynamic Data Scheduling Hongtao Xu, Wenting Shen, Yuanxin Wei, Ang Wang, Guo Runfan, Tianxing Wang, Yong Li, Mingzhen Li, Weile Jia

IJCAI 2025 Solving MDPs with LTLf+ and PPLTL+ Temporal Objectives Giuseppe De Giacomo, Yong Li, Sven Schewe, Christoph Weinhuber, Pian Yu

NeurIPS 2025 Sparse Diffusion Autoencoder for Test-Time Adapting Prediction of Complex Systems Jingwen Cheng, Ruikun Li, Huandong Wang, Yong Li

ICLR 2025 Symbolic Regression via MDLformer-Guided Search: From Minimizing Prediction Error to Minimizing Description Length Zihan Yu, Jingtao Ding, Yong Li, Depeng Jin

NeurIPS 2025 Synergistic Tensor and Pipeline Parallelism Mengshi Qi, Jiaxuan Peng, Jie Zhang, Juan Zhu, Yong Li, Huadong Ma

ICML 2025 Token Signature: Predicting Chain-of-Thought Gains with Token Decoding Feature in Large Language Models Peijie Liu, Fengli Xu, Yong Li

NeurIPS 2025 TrajAgent: An LLM-Agent Framework for Trajectory Modeling via Large-and-Small Model Collaboration Yuwei Du, Jie Feng, Jie Zhao, Yong Li

AAAI 2025 Treasures in Discarded Weights for LLM Quantization Hao Yu, Yang Zhou, Bohua Chen, Zelan Yang, Shen Li, Yong Li, Jianxin Wu

IJCAI 2025 Unveiling the Power of Noise Priors: Enhancing Diffusion Models for Mobile Traffic Prediction Zhi Sheng, Daisy Yuan, Jingtao Ding, Qi Yan, Xi Zheng, Yue Sun, Yong Li

ICCV 2025 UrbanLLaVA: A Multi-Modal Large Language Model for Urban Intelligence Jie Feng, Shengyuan Wang, Tianhui Liu, Yanxin Xi, Yong Li

IJCAI 2024 Angluin-Style Learning of Deterministic Büchi and Co-Büchi Automata Yong Li, Sven Schewe, Qiyi Tang

AAAI 2024 Estimating On-Road Transportation Carbon Emissions from Open Data of Road Network and Origin-Destination Flow Data Jinwei Zeng, Yu Liu, Jingtao Ding, Jian Yuan, Yong Li

IJCAI 2024 From Pixels to Progress: Generating Road Network from Satellite Imagery for Socioeconomic Insights in Impoverished Areas Yanxin Xi, Yu Liu, Zhicheng Liu, Sasu Tarkoma, Pan Hui, Yong Li

AAAI 2024 GLOP: Learning Global Partition and Local Construction for Solving Large-Scale Routing Problems in Real-Time Haoran Ye, Jiarui Wang, Helan Liang, Zhiguang Cao, Yong Li, Fanzhang Li

NeurIPS 2024 HLM-Cite: Hybrid Language Model Workflow for Text-Based Scientific Citation Prediction Qianyue Hao, Jingyang Fan, Fengli Xu, Jian Yuan, Yong Li

NeurIPS 2024 Long-Tailed Object Detection Pretraining: Dynamic Rebalancing Contrastive Learning with Dual Reconstruction Chen-Long Duan, Yong Li, Xiu-Shen Wei, Lin Zhao

IJCAI 2024 Long-Term Detection and Monitory of Chinese Urban Village Using Satellite Imagery Yuming Lin, Xin Zhang, Yu Liu, Zhenyu Han, Qingmin Liao, Yong Li

ICML 2024 Masked Face Recognition with Generative-to-Discriminative Representations Shiming Ge, Weijia Guo, Chenyu Li, Zhang Junzheng, Yong Li, Dan Zeng

NeurIPS 2024 Membership Inference Attacks Against Fine-Tuned Large Language Models via Self-Prompt Calibration Wenjie Fu, Huandong Wang, Chen Gao, Guanghua Liu, Yong Li, Tao Jiang

AAAI 2024 Patch-Aware Sample Selection for Efficient Masked Image Modeling Zhengyang Zhuge, Jiaxing Wang, Yong Li, Yongjun Bao, Peisong Wang, Jian Cheng

AAAI 2024 Social Physics Informed Diffusion Model for Crowd Simulation Hongyi Chen, Jingtao Ding, Yong Li, Yue Wang, Xiao-Ping Zhang

ICLR 2024 Spatio-Temporal Few-Shot Learning via Diffusive Neural Network Generation Yuan Yuan, Chenyang Shao, Jingtao Ding, Depeng Jin, Yong Li

AAAI 2024 UV-SAM: Adapting Segment Anything Model for Urban Village Identification Xin Zhang, Yu Liu, Yuming Lin, Qingmin Liao, Yong Li

ICLR 2024 Understanding Expressivity of GNN in Rule Learning Haiquan Qiu, Yongqi Zhang, Yong Li, Quanming Yao

IJCAI 2024 VulnerabilityMap: An Open Framework for Mapping Vulnerability Among Urban Disadvantaged Populations in the United States Lin Chen, Yong Li, Pan Hui

CVPRW 2023 Compound Expression Recognition In-the-Wild with AU-Assisted Meta Multi-Task Learning Ximan Li, Weihong Deng, Shan Li, Yong Li

CVPR 2023 Decoupled Multimodal Distilling for Emotion Recognition Yong Li, Yuanzhi Wang, Zhen Cui

NeurIPS 2023 DeepACO: Neural-Enhanced Ant Systems for Combinatorial Optimization Haoran Ye, Jiarui Wang, Zhiguang Cao, Helan Liang, Yong Li

ICCV 2023 Distribution-Consistent Modal Recovering for Incomplete Multimodal Learning Yuanzhi Wang, Zhen Cui, Yong Li

ICLR 2023 DynaMS: Dyanmic Margin Selection for Efficient Deep Learning Jiaxing Wang, Yong Li, Jingwei Zhuo, Xupeng Shi, Weizhong Zhang, Lixing Gong, Tong Tao, Pengzhang Liu, Yongjun Bao, Weipeng Yan

NeurIPS 2023 Efficient Hyper-Parameter Optimization with Cubic Regularization Zhenqian Shen, Hansi Yang, Yong Li, James T. Kwok, Quanming Yao

NeurIPS 2023 Incomplete Multimodality-Diffused Emotion Recognition Yuanzhi Wang, Yong Li, Zhen Cui

ICLR 2023 Learning Symbolic Models for Graph-Structured Physical Mechanism Hongzhi Shi, Jingtao Ding, Yufan Cao, Quanming Yao, Li Liu, Yong Li

AAAI 2023 PateGail: A Privacy-Preserving Mobility Trajectory Generator with Imitation Learning Huandong Wang, Changzheng Gao, Yuchen Wu, Depeng Jin, Lina Yao, Yong Li

ICLR 2023 Revisit Finetuning Strategy for Few-Shot Learning to Transfer the Emdeddings Heng Wang, Tan Yue, Xiang Ye, Zihang He, Bohan Li, Yong Li

CVPR 2023 Style Projected Clustering for Domain Generalized Semantic Segmentation Wei Huang, Chang Chen, Yong Li, Jiacheng Li, Cheng Li, Fenglong Song, Youliang Yan, Zhiwei Xiong

TMLR 2023 Understanding and Simplifying Architecture Search in Spatio-Temporal Graph Neural Networks Zhen Xu, Quanming Yao, Yong Li, Qiang Yang

IJCAI 2022 A Formal Model for Multiagent Q-Learning Dynamics on Regular Graphs Chen Chu, Yong Li, Jinzhuo Liu, Shuyue Hu, Xuelong Li, Zhen Wang

AAAI 2022 MAPDP: Cooperative Multi-Agent Reinforcement Learning to Solve Pickup and Delivery Problems Zefang Zong, Meng Zheng, Yong Li, Depeng Jin

ECCV 2022 Towards Real-World HDRTV Reconstruction: A Data Synthesis-Based Approach Zhen Cheng, Tao Wang, Yong Li, Fenglong Song, Chang Chen, Zhiwei Xiong

AAAI 2021 AttnMove: History Enhanced Trajectory Recovery via Attentional Network Tong Xia, Yunhan Qi, Jie Feng, Fengli Xu, Funing Sun, Diansheng Guo, Yong Li

NeurIPS 2021 Automorphic Equivalence-Aware Graph Neural Network Fengli Xu, Quanming Yao, Pan Hui, Yong Li

CVPR 2021 Consistent Instance False Positive Improves Fairness in Face Recognition Xingkun Xu, Yuge Huang, Pengcheng Shen, Shaoxin Li, Jilin Li, Feiyue Huang, Yong Li, Zhen Cui

ICLR 2021 Learnable Embedding Sizes for Recommender Systems Siyi Liu, Chen Gao, Yihong Chen, Depeng Jin, Yong Li

CVPR 2021 Learning Normal Dynamics in Videos with Meta Prototype Network Hui Lv, Chen Chen, Zhen Cui, Chunyan Xu, Yong Li, Jian Yang

NeurIPS 2021 Progressive Feature Interaction Search for Deep Sparse Network Chen Gao, Yinfeng Li, Quanming Yao, Depeng Jin, Yong Li

ICCV 2021 Real-Time Image Enhancer via Learnable Spatial-Aware 3D Lookup Tables Tao Wang, Yong Li, Jingyang Peng, Yipeng Ma, Xian Wang, Fenglong Song, Youliang Yan

CVPR 2021 SDD-FIQA: Unsupervised Face Image Quality Assessment with Similarity Distribution Distance Fu-Zhao Ou, Xingyu Chen, Ruixin Zhang, Yuge Huang, Shaoxin Li, Jilin Li, Yong Li, Liujuan Cao, Yuan-Gen Wang

IJCAI 2021 Synthesizing Good-Enough Strategies for LTLf Specifications Yong Li, Andrea Turrini, Moshe Y. Vardi, Lijun Zhang

IJCAI 2020 A Sequential Convolution Network for Population Flow Prediction with Explicitly Correlation Modelling Jie Feng, Ziqian Lin, Tong Xia, Funing Sun, Diansheng Guo, Yong Li

AAAI 2020 Hybrid Compositional Reasoning for Reactive Synthesis from Finite-Horizon Specifications Suguman Bansal, Yong Li, Lucas M. Tabajara, Moshe Y. Vardi

IJCAI 2020 Multi-View Joint Graph Representation Learning for Urban Region Embedding Mingyang Zhang, Tong Li, Yong Li, Pan Hui

NeurIPS 2020 Simplify and Robustify Negative Sampling for Implicit Collaborative Filtering Jingtao Ding, Yuhan Quan, Quanming Yao, Yong Li, Depeng Jin

IJCAI 2019 A Decomposition Approach for Urban Anomaly Detection Across Spatiotemporal Data Mingyang Zhang, Tong Li, Hongzhi Shi, Yong Li, Pan Hui

IJCAI 2019 DeepAPF: Deep Attentive Probabilistic Factorization for Multi-Site Video Recommendation Huan Yan, Xiangning Chen, Chen Gao, Yong Li, Depeng Jin

AAAI 2019 DeepDPM: Dynamic Population Mapping via Deep Neural Network Zefang Zong, Jie Feng, Kechun Liu, Hongzhi Shi, Yong Li

AAAI 2019 DeepSTN+: Context-Aware Spatial-Temporal Neural Network for Crowd Flow Prediction in Metropolis Ziqian Lin, Jie Feng, Ziyang Lu, Yong Li, Depeng Jin

IJCAI 2019 Reinforced Negative Sampling for Recommendation with Exposure Data Jingtao Ding, Yuhan Quan, Xiangnan He, Yong Li, Depeng Jin

IJCAI 2018 Improving Implicit Recommender Systems with View Data Jingtao Ding, Guanghui Yu, Xiangnan He, Yuhan Quan, Yong Li, Tat-Seng Chua, Depeng Jin, Jiajie Yu

IJCAI 2017 Dynamic Programming Bipartite Belief Propagation for Hyper Graph Matching Zhen Zhang, Julian J. McAuley, Yong Li, Wei Wei, Yanning Zhang, Qinfeng Shi

IJCAI 2016 Collaborative Evolution for User Profiling in Recommender Systems Zhongqi Lu, Sinno Jialin Pan, Yong Li, Jie Jiang, Qiang Yang

IJCAI 2015 Image Feature Learning for Cold Start Problem in Display Advertising Kaixiang Mo, Bo Liu, Lei Xiao, Yong Li, Jie Jiang

IJCAI 2015 Weakly Supervised RBM for Semantic Segmentation Yong Li, Jing Liu, Yuhang Wang, Hanqing Lu, Songde Ma

AAAI 2014 Learning Low-Rank Representations with Classwise Block-Diagonal Structure for Robust Face Recognition Yong Li, Jing Liu, Zechao Li, Yangmuzi Zhang, Hanqing Lu, Songde Ma