Wang, Jie

106 publications

ICLR 2025 A Graph Enhanced Symbolic Discovery Framework for Efficient Logic Optimization Yinqi Bai, Jie Wang, Lei Chen, Zhihai Wang, Yufei Kuang, Mingxuan Yuan, Jianye Hao, Feng Wu

AAAI 2025 A Multi-Style Chinese Characters Writing Intelligent Tool Based on Small-Scale Training Data Zhen Zeng, Jie Wang, Xi Lyu

ICCV 2025 A Structure-Aware and Motion-Adaptive Framework for 3D Human Pose Estimation with Mamba Ye Lu, Jie Wang, Jianjun Gao, Rui Gong, Chen Cai, Kim-Hui Yap

ICML 2025 Accelerating Large Language Model Reasoning via Speculative Search Zhihai Wang, Jie Wang, Jilai Pan, Xilin Xia, Huiling Zhen, Mingxuan Yuan, Jianye Hao, Feng Wu

NeurIPS 2025 Accurate KV Cache Eviction via Anchor Direction Projection for Efficient LLM Inference Zijie Geng, Jie Wang, Ziqi Liu, Feng Ju, Yiming Li, Xing Li, Mingxuan Yuan, Jianye Hao, Defu Lian, Enhong Chen, Feng Wu

ICLR 2025 Accurate and Scalable Graph Neural Networks via Message Invariance Zhihao Shi, Jie Wang, Zhiwei Zhuang, Xize Liang, Bin Li, Feng Wu

ICLR 2025 Apollo-MILP: An Alternating Prediction-Correction Neural Solving Framework for Mixed-Integer Linear Programming Haoyang Liu, Jie Wang, Zijie Geng, Xijun Li, Yuxuan Zong, Fangzhou Zhu, Jianye Hao, Feng Wu

NeurIPS 2025 ArchCAD-400k: A Large-Scale CAD Drawings Dataset and New Baseline for Panoptic Symbol Spotting Ruifeng Luo, Zhengjie Liu, Tianxiao Cheng, Jie Wang, Tongjie Wang, Fei Cheng, Fu Chai, Yanpeng Li, Xingguang Wei, Haomin Wang, Shenglong Ye, Wenhai Wang, Yanting Zhang, Yu Qiao, Hongjie Zhang, Xianzhong Zhao

NeurIPS 2025 AttentionPredictor: Temporal Patterns Matter for KV Cache Compression Qingyue Yang, Jie Wang, Xing Li, Zhihai Wang, Chen Chen, Lei Chen, Xianzhi Yu, Wulong Liu, Jianye Hao, Mingxuan Yuan, Bin Li

NeurIPS 2025 Benchmarking End-to-End Performance of AI-Based Chip Placement Algorithms Zhihai Wang, Zijie Geng, Zhaojie Tu, Jie Wang, Yuxi Qian, Zhexuan Xu, Ziyan Liu, Siyuan Xu, Zhentao Tang, Shixiong Kai, Mingxuan Yuan, Jianye Hao, Bin Li, Feng Wu

ICML 2025 Boosting Multi-Domain Fine-Tuning of Large Language Models Through Evolving Interactions Between Samples Xize Liang, Lin Yang, Jie Wang, Yiyang Lu, Runyu Wu, Hanzhu Chen, Jianye Hao

NeurIPS 2025 Can Class-Priors Help Single-Positive Multi-Label Learning? Biao Liu, Ning Xu, Jie Wang, Xin Geng

ICLR 2025 Computing Circuits Optimization via Model-Based Circuit Genetic Evolution Zhihai Wang, Jie Wang, Xilin Xia, Dongsheng Zuo, Lei Chen, Yuzhe Ma, Jianye Hao, Mingxuan Yuan, Feng Wu

ICLR 2025 Differentiable Integer Linear Programming Zijie Geng, Jie Wang, Xijun Li, Fangzhou Zhu, Jianye Hao, Bin Li, Feng Wu

NeurIPS 2025 Dynamic Configuration for Cutting Plane Separators via Reinforcement Learning on Incremental Graph Mingxuan Ye, Jie Wang, Fangzhou Zhu, Zhihai Wang, Yufei Kuang, Xijun Li, Weilin Luo, Jianye Hao, Feng Wu

AAAI 2025 Exploring Temporal Event Cues for Dense Video Captioning in Cyclic Co-Learning Zhuyang Xie, Yan Yang, Yankai Yu, Jie Wang, Yongquan Jiang, Xiao Wu

ICCV 2025 From Gaze to Movement: Predicting Visual Attention for Autonomous Driving Human-Machine Interaction Based on Programmatic Imitation Learning Yexin Huang, Yongbin Lin, Lishengsa Yue, Zhihong Yao, Jie Wang

NeurIPS 2025 High-Performance Arithmetic Circuit Optimization via Differentiable Architecture Search Xilin Xia, Jie Wang, Wanbo Zhang, Zhihai Wang, Mingxuan Yuan, Jianye Hao, Feng Wu

ICML 2025 HyperTree Planning: Enhancing LLM Reasoning via Hierarchical Thinking Runquan Gui, Zhihai Wang, Jie Wang, Chi Ma, Huiling Zhen, Mingxuan Yuan, Jianye Hao, Defu Lian, Enhong Chen, Feng Wu

AAAI 2025 InstantPainting: Expanding GANs for Efficient Text-Conditioned Image Generation Platform Bing-Kun Bao, Yefei Sheng, Jie Wang, Yaning Li, Sisi You

ICLR 2025 Knowledge Graph Finetuning Enhances Knowledge Manipulation in Large Language Models Hanzhu Chen, Xu Shen, Jie Wang, Zehao Wang, Qitan Lv, Junjie He, Rong Wu, Feng Wu, Jieping Ye

ICLR 2025 LaMPlace: Learning to Optimize Cross-Stage Metrics in Macro Placement Zijie Geng, Jie Wang, Ziyan Liu, Siyuan Xu, Zhentao Tang, Shixiong Kai, Mingxuan Yuan, Jianye Hao, Feng Wu

AAAI 2025 Language Pre-Training Guided Masking Representation Learning for Time Series Classification Liaoyuan Tang, Zheng Wang, Jie Wang, Guanxiong He, Zhezheng Hao, Rong Wang, Feiping Nie

ICLR 2025 Learning Robust Representations with Long-Term Information for Generalization in Visual Reinforcement Learning Rui Yang, Jie Wang, Qijie Peng, Ruibo Guo, Guoping Wu, Bin Li

NeurIPS 2025 LogicTree: Improving Complex Reasoning of LLMs via Instantiated Multi-Step Synthetic Logical Data Zehao Wang, Lin Yang, Jie Wang, Kehan Wang, Hanzhu Chen, Bin Wang, Jianye Hao, Defu Lian, Bin Li, Enhong Chen

NeurIPS 2025 MeshCoder: LLM-Powered Structured Mesh Code Generation from Point Clouds BingQuan Dai, Luo Li, Qihong Tang, Jie Wang, Xinyu Lian, Hao Xu, Minghan Qin, Xudong Xu, Bo Dai, Haoqian Wang, Zhaoyang Lyu, Jiangmiao Pang

NeurIPS 2025 Mixture-of-Experts Operator Transformer for Large-Scale PDE Pre-Training Hong Wang, Haiyang Xin, Jie Wang, Xuanze Yang, Fei Zha, Huanshuo Dong, Yan Jiang

NeurIPS 2025 OptiTree: Hierarchical Thoughts Generation with Tree Search for LLM Optimization Modeling Haoyang Liu, Jie Wang, Yuyang Cai, Xiongwei Han, Yufei Kuang, Jianye Hao

ICLR 2025 PvNeXt: Rethinking Network Design and Temporal Motion for Point Cloud Video Recognition Jie Wang, Tingfa Xu, Lihe Ding, Xinjie Zhang, Long Bai, Jianan Li

ICML 2025 ROPO: Robust Preference Optimization for Large Language Models Xize Liang, Chao Chen, Shuang Qiu, Jie Wang, Yue Wu, Zhihang Fu, Hanzhu Chen, Feng Wu, Jieping Ye

NeurIPS 2025 Real-World Reinforcement Learning of Active Perception Behaviors Edward S. Hu, Jie Wang, Xingfang Yuan, Fiona Luo, Muyao Li, Gaspard Lambrechts, Oleh Rybkin, Dinesh Jayaraman

NeurIPS 2025 RoME: Domain-Robust Mixture-of-Experts for MILP Solution Prediction Across Domains Tianle Pu, Zijie Geng, Haoyang Liu, Shixuan Liu, Jie Wang, Li Zeng, Chao Chen, Changjun Fan

NeurIPS 2025 STNet: Spectral Transformation Network for Solving Operator Eigenvalue Problem Hong Wang, Jiang Yixuan, Jie Wang, Xinyi Li, Jian Luo, Huanshuo Dong

ICML 2025 Statistical and Computational Guarantees of Kernel Max-Sliced Wasserstein Distances Jie Wang, March Boedihardjo, Yao Xie

ICLRW 2025 Surgical-LVLM: Learning to Adapt Large Vision-Language Model for Grounded Visual Question Answering in Robotic Surgery Guankun Wang, Long Bai, Wan Jun Nah, Jie Wang, Zhaoxi Zhang, Zhen Chen, Jinlin Wu, Mobarakol Islam, Hongbin Liu, Hongliang Ren

NeurIPS 2025 SymMaP: Improving Computational Efficiency in Linear Solvers Through Symbolic Preconditioning Hong Wang, Jie Wang, Minghao Ma, Haoran Shao, Haoyang Liu

IJCAI 2025 Uncertainty-Guided Graph Contrastive Learning from a Unified Perspective Zhiqiang Li, Jie Wang, Jianqing Liang, Junbiao Cui, Xingwang Zhao, Jiye Liang

UAI 2025 VADIS: Investigating Inter-View Representation Biases for Multi-View Partial Multi-Label Learning Jie Wang, Ning Xu, Xin Geng

CVPR 2025 Visual Consensus Prompting for Co-Salient Object Detection Jie Wang, Nana Yu, Zihao Zhang, Yahong Han

ICML 2024 A Circuit Domain Generalization Framework for Efficient Logic Synthesis in Chip Design Zhihai Wang, Lei Chen, Jie Wang, Yinqi Bai, Xing Li, Xijun Li, Mingxuan Yuan, Jianye Hao, Yongdong Zhang, Feng Wu

ICML 2024 A Hierarchical Adaptive Multi-Task Reinforcement Learning Framework for Multiplier Circuit Design Zhihai Wang, Jie Wang, Dongsheng Zuo, Ji Yunjie, Xilin Xia, Yuzhe Ma, Jianye Hao, Mingxuan Yuan, Yongdong Zhang, Feng Wu

ICLR 2024 Accelerating Data Generation for Neural Operators via Krylov Subspace Recycling Hong Wang, Zhongkai Hao, Jie Wang, Zijie Geng, Zhen Wang, Bin Li, Feng Wu

ICML 2024 Accelerating PDE Data Generation via Differential Operator Action in Solution Space Huanshuo Dong, Hong Wang, Haoyang Liu, Jian Luo, Jie Wang

ICML 2024 Coarse-to-Fine Highlighting: Reducing Knowledge Hallucination in Large Language Models Qitan Lv, Jie Wang, Hanzhu Chen, Bin Li, Yongdong Zhang, Feng Wu

CVPRW 2024 DSTCFuse: A Method Based on Dual-Cycled Cross-Awareness of Structure Tensor for Semantic Segmentation via Infrared and Visible Image Fusion Xuan Li, Rongfu Chen, Jie Wang, Lei Ma, Li Cheng, Haiwen Yuan

ECCV 2024 Dual-Stage Hyperspectral Image Classification Model with Spectral Supertoken Peifu Liu, Tingfa Xu, Jie Wang, Huan Chen, Huiyan Bai, Jianan Li

NeurIPS 2024 FUSU: A Multi-Temporal-Source Land Use Change Segmentation Dataset for Fine-Grained Urban Semantic Understanding Shuai Yuan, Guancong Lin, Lixian Zhang, Runmin Dong, Jinxiao Zhang, Shuang Chen, Juepeng Zheng, Jie Wang, Haohuan Fu

AAAI 2024 Learning to Stop Cut Generation for Efficient Mixed-Integer Linear Programming Haotian Ling, Zhihai Wang, Jie Wang

NeurIPS 2024 MILP-StuDio: MILP Instance Generation via Block Structure Decomposition Haoyang Liu, Jie Wang, Wanbo Zhang, Zijie Geng, Yufei Kuang, Xijun Li, Yongdong Zhang, Bin Li, Feng Wu

NeurIPS 2024 Neural Krylov Iteration for Accelerating Linear System Solving Jian Luo, Jie Wang, Hong Wang, Huanshuo Dong, Zijie Geng, Hanzhu Chen, Yufei Kuang

ICML 2024 Reinforcement Learning Within Tree Search for Fast Macro Placement Zijie Geng, Jie Wang, Ziyan Liu, Siyuan Xu, Zhentao Tang, Mingxuan Yuan, Jianye Hao, Yongdong Zhang, Feng Wu

ICLR 2024 Rethinking Branching on Exact Combinatorial Optimization Solver: The First Deep Symbolic Discovery Framework Yufei Kuang, Jie Wang, Haoyang Liu, Fangzhou Zhu, Xijun Li, Jia Zeng, Jianye Hao, Bin Li, Feng Wu

NeurIPS 2024 Target-Guided Adversarial Point Cloud Transformer Towards Recognition Against Real-World Corruptions Jie Wang, Tingfa Xu, Lihe Ding, Jianan Li

ICML 2024 Towards General Algorithm Discovery for Combinatorial Optimization: Learning Symbolic Branching Policy from Bipartite Graph Yufei Kuang, Jie Wang, Yuyan Zhou, Xijun Li, Fangzhou Zhu, Jianye Hao, Feng Wu

NeurIPS 2024 Towards Next-Generation Logic Synthesis: A Scalable Neural Circuit Generation Framework Zhihai Wang, Jie Wang, Qingyue Yang, Yinqi Bai, Xing Li, Lei Chen, Jianye Hao, Mingxuan Yuan, Bin Li, Yongdong Zhang, Feng Wu

NeurIPS 2024 Uncertainty-Based Offline Variational Bayesian Reinforcement Learning for Robustness Under Diverse Data Corruptions Rui Yang, Jie Wang, Guoping Wu, Bin Li

NeurIPS 2023 A Deep Instance Generative Framework for MILP Solvers Under Limited Data Availability Zijie Geng, Xijun Li, Jie Wang, Xiao Li, Yongdong Zhang, Feng Wu

NeurIPS 2023 Contextual Stochastic Bilevel Optimization Yifan Hu, Jie Wang, Yao Xie, Andreas Krause, Daniel Huhn

ICLR 2023 De Novo Molecular Generation via Connection-Aware Motif Mining Zijie Geng, Shufang Xie, Yingce Xia, Lijun Wu, Tao Qin, Jie Wang, Yongdong Zhang, Feng Wu, Tie-Yan Liu

AAAI 2023 Efficient Exploration in Resource-Restricted Reinforcement Learning Zhihai Wang, Taoxing Pan, Qi Zhou, Jie Wang

ICLR 2023 LMC: Fast Training of GNNs via Subgraph Sampling with Provable Convergence Zhihao Shi, Xize Liang, Jie Wang

ICLR 2023 Learning Cut Selection for Mixed-Integer Linear Programming via Hierarchical Sequence Model Zhihai Wang, Xijun Li, Jie Wang, Yufei Kuang, Mingxuan Yuan, Jia Zeng, Yongdong Zhang, Feng Wu

UAI 2023 Learning Robust Representation for Reinforcement Learning with Distractions by Reward Sequence Prediction Qi Zhou, Jie Wang, Qiyuan Liu, Yufei Kuang, Wengang Zhou, Houqiang Li

NeurIPS 2023 Learning Rule-Induced Subgraph Representations for Inductive Relation Prediction Tianyu Liu, Qitan Lv, Jie Wang, Shuling Yang, Hanzhu Chen

AAAI 2023 Robust Representation Learning by Clustering with Bisimulation Metrics for Visual Reinforcement Learning with Distractions Qiyuan Liu, Qi Zhou, Rui Yang, Jie Wang

ICCV 2023 Sample-Adaptive Augmentation for Point Cloud Recognition Against Real-World Corruptions Jie Wang, Lihe Ding, Tingfa Xu, Shaocong Dong, Xinli Xu, Long Bai, Jianan Li

NeurIPS 2023 State Sequences Prediction via Fourier Transform for Representation Learning Mingxuan Ye, Yufei Kuang, Jie Wang, Yang Rui, Wengang Zhou, Houqiang Li, Feng Wu

AAAI 2023 Tagging Before Alignment: Integrating Multi-Modal Tags for Video-Text Retrieval Yizhen Chen, Jie Wang, Lijian Lin, Zhongang Qi, Jin Ma, Ying Shan

AISTATS 2022 Two-Sample Test with Kernel Projected Wasserstein Distance Jie Wang, Rui Gao, Yao Xie

IJCAI 2022 C3-STISR: Scene Text Image Super-Resolution with Triple Clues Minyi Zhao, Miao Wang, Fan Bai, Bingjia Li, Jie Wang, Shuigeng Zhou

ECCV 2022 FH-Net: A Fast Hierarchical Network for Scene Flow Estimation on Real-World Point Clouds Lihe Ding, Shaocong Dong, Tingfa Xu, Xinli Xu, Jie Wang, Jianan Li

AAAI 2022 Learning Robust Policy Against Disturbance in Transition Dynamics via State-Conservative Policy Optimization Yufei Kuang, Miao Lu, Jie Wang, Qi Zhou, Bin Li, Houqiang Li

IJCAI 2022 Learning Unforgotten Domain-Invariant Representations for Online Unsupervised Domain Adaptation Cheng Feng, Chaoliang Zhong, Jie Wang, Ying Zhang, Jun Sun, Yasuto Yokota

NeurIPS 2022 MsSVT: Mixed-Scale Sparse Voxel Transformer for 3D Object Detection on Point Clouds Shaocong Dong, Lihe Ding, Haiyang Wang, Tingfa Xu, Xinli Xu, Jie Wang, Ziyang Bian, Ying Wang, Jianan Li

WACV 2022 PICA: Point-Wise Instance and Centroid Alignment Based Few-Shot Domain Adaptive Object Detection with Loose Annotations Chaoliang Zhong, Jie Wang, Cheng Feng, Ying Zhang, Jun Sun, Yasuto Yokota

AAAI 2022 Sample-Efficient Reinforcement Learning via Conservative Model-Based Actor-Critic Zhihai Wang, Jie Wang, Qi Zhou, Bin Li, Houqiang Li

NeurIPS 2022 Towards Video Text Visual Question Answering: Benchmark and Baseline Minyi Zhao, Bingjia Li, Jie Wang, Wanqing Li, Wenjing Zhou, Lan Zhang, Shijie Xuyang, Zhihang Yu, Xinkun Yu, Guangze Li, Aobotao Dai, Shuigeng Zhou

ICMLW 2021 Attention-Guided Black-Box Adversarial Attacks with Large-Scale Multiobjective Evolutionary Optimization Jie Wang, Zhaoxia Yin, Jing Jiang, Yang Du

NeurIPS 2021 ConE: Cone Embeddings for Multi-Hop Reasoning over Knowledge Graphs Zhanqiu Zhang, Jie Wang, Jiajun Chen, Shuiwang Ji, Feng Wu

MLJ 2021 Graph-Based Semi-Supervised Learning via Improving the Quality of the Graph Dynamically Jiye Liang, Junbiao Cui, Jie Wang, Wei Wei

ICML 2021 On Explainability of Graph Neural Networks via Subgraph Explorations Hao Yuan, Haiyang Yu, Jie Wang, Kang Li, Shuiwang Ji

AAAI 2021 Topology-Aware Correlations Between Relations for Inductive Link Prediction in Knowledge Graphs Jiajun Chen, Huarui He, Feng Wu, Jie Wang

CVPR 2021 Transformer Meets Tracker: Exploiting Temporal Context for Robust Visual Tracking Ning Wang, Wengang Zhou, Jie Wang, Houqiang Li

AAAI 2020 An Iterative Polishing Framework Based on Quality Aware Masked Language Model for Chinese Poetry Generation Liming Deng, Jie Wang, Hang-Ming Liang, Hui Chen, Zhiqiang Xie, Bojin Zhuang, Shaojun Wang, Jing Xiao

AAAI 2020 D-SPIDER-SFO: A Decentralized Optimization Algorithm with Faster Convergence Rate for Nonconvex Problems Taoxing Pan, Jun Liu, Jie Wang

AAAI 2020 Deep Model-Based Reinforcement Learning via Estimated Uncertainty and Conservative Policy Optimization Qi Zhou, Houqiang Li, Jie Wang

NeurIPS 2020 Duality-Induced Regularizer for Tensor Factorization Based Knowledge Graph Completion Zhanqiu Zhang, Jianyu Cai, Jie Wang

AAAI 2020 Learning Hierarchy-Aware Knowledge Graph Embeddings for Link Prediction Zhanqiu Zhang, Jianyu Cai, Yongdong Zhang, Jie Wang

AAAI 2020 Learning Sense Representation from Word Representation for Unsupervised Word Sense Disambiguation (Student Abstract) Jie Wang, Zhenxin Fu, Moxin Li, Haisong Zhang, Dongyan Zhao, Rui Yan

NeurIPS 2020 Promoting Stochasticity for Expressive Policies via a Simple and Efficient Regularization Method Qi Zhou, Yufei Kuang, Zherui Qiu, Houqiang Li, Jie Wang

ICCVW 2019 AIM 2019 Challenge on Image Demoireing: Methods and Results Shanxin Yuan, Zhenyong Fu, Jian Yang, Ming Hong, Wenying Lin, Wenjin Yang, Yanyun Qu, Hong-Kyu Shin, Joon-Yeon Kim, Sung-Jea Ko, Hang Dong, Radu Timofte, Yu Guo, Jie Wang, Xuan Ding, Zongyan Han, Sourya Dipta Das, Kuldeep Purohit, Praveen Kandula, Maitreya Suin, A. N. Rajagopalan, Gregory G. Slabaugh, Ales Leonardis, Bolun Zheng, Xin Ye, Xiang Tian, Yaowu Chen, Xi Cheng

AAAI 2019 Gated Residual Recurrent Graph Neural Networks for Traffic Prediction Cen Chen, Kenli Li, Sin G. Teo, Xiaofeng Zou, Kang Wang, Jie Wang, Zeng Zeng

JMLR 2019 Scaling up Sparse Support Vector Machines by Simultaneous Feature and Sample Reduction Bin Hong, Weizhong Zhang, Wei Liu, Jieping Ye, Deng Cai, Xiaofei He, Jie Wang

JMLR 2019 Two-Layer Feature Reduction for Sparse-Group Lasso via Decomposition of Convex Sets Jie Wang, Zhanqiu Zhang, Jieping Ye

ECCVW 2018 Extended Non-Local Feature for Visual Saliency Detection in Low Contrast Images Xin Xu, Jie Wang

ICML 2017 Scaling up Sparse Support Vector Machines by Simultaneous Feature and Sample Reduction Weizhong Zhang, Bin Hong, Wei Liu, Jieping Ye, Deng Cai, Xiaofei He, Jie Wang

JMLR 2015 Lasso Screening Rules via Dual Polytope Projection Jie Wang, Peter Wonka, Jieping Ye

NeurIPS 2015 Multi-Layer Feature Reduction for Tree Structured Group Lasso via Hierarchical Projection Jie Wang, Jieping Ye

ICML 2015 Safe Screening for Multi-Task Feature Learning with Multiple Data Matrices Jie Wang, Jieping Ye

ICML 2014 A Highly Scalable Parallel Algorithm for Isotropic Total Variation Models Jie Wang, Qingyang Li, Sen Yang, Wei Fan, Peter Wonka, Jieping Ye

NeurIPS 2014 A Safe Screening Rule for Sparse Logistic Regression Jie Wang, Jiayu Zhou, Jun Liu, Peter Wonka, Jieping Ye

ICML 2014 Safe Screening with Variational Inequalities and Its Application to Lasso Jun Liu, Zheng Zhao, Jie Wang, Jieping Ye

ICML 2014 Scaling SVM and Least Absolute Deviations via Exact Data Reduction Jie Wang, Peter Wonka, Jieping Ye

NeurIPS 2014 Two-Layer Feature Reduction for Sparse-Group Lasso via Decomposition of Convex Sets Jie Wang, Jieping Ye

IJCAI 2013 Cross-Domain Collaborative Filtering via Bilinear Multilevel Analysis Liang Hu, Jian Cao, Guandong Xu, Jie Wang, Zhiping Gu, Longbing Cao

NeurIPS 2013 Lasso Screening Rules via Dual Polytope Projection Jie Wang, Jiayu Zhou, Peter Wonka, Jieping Ye