ML Anthology

Yan, Junchi

259 publications

ICLR 2025 BTBS-LNS: Binarized-Tightening, Branch and Search on Learning LNS Policies for MIP Hao Yuan, Wenli Ouyang, Changwen Zhang, Yong Sun, Liming Gong, Junchi Yan
ICLR 2025 Beyond Circuit Connections: A Non-Message Passing Graph Transformer Approach for Quantum Error Mitigation Tianyi Bao, Xinyu Ye, Hang Ruan, Chang Liu, Wenjie Wu, Junchi Yan
NeurIPS 2025 Bootstrapping Hierarchical Autoregressive Formal Reasoner with Chain-of-Proxy-Autoformalization Qi Liu, Xinhao Zheng, Renqiu Xia, Qinxiang Cao, Junchi Yan
NeurIPS 2025 Bridging Crypto with ML-Based Solvers: The SAT Formulation and Benchmarks Xinhao Zheng, Xinhao Song, Bolin Qiu, Yang Li, Zhongteng Gui, Junchi Yan
ICML 2025 COExpander: Adaptive Solution Expansion for Combinatorial Optimization Jiale Ma, Wenzheng Pan, Yang Li, Junchi Yan
NeurIPS 2025 CORE: Collaborative Optimization with Reinforcement Learning and Evolutionary Algorithm for Floorplanning Pengyi Li, Shixiong Kai, Jianye Hao, Ruizhe Zhong, Hongyao Tang, Zhentao Tang, Mingxuan Yuan, Junchi Yan
ICLR 2025 CR2PQ: Continuous Relative Rotary Positional Query for Dense Visual Representation Learning Shaofeng Zhang, Qiang Zhou, Sitong Wu, Haoru Tan, Zhibin Wang, Jinfa Huang, Junchi Yan
ICML 2025 DSBRouter: End-to-End Global Routing via Diffusion Schrödinger Bridge Liangliang Shi, Shenhui Zhang, Xingbo Du, Nianzu Yang, Junchi Yan
TMLR 2025 Decentralized Transformers with Centralized Aggregation Are Sample-Efficient Multi-Agent World Models Yang Zhang, Chenjia Bai, Bin Zhao, Junchi Yan, Xiu Li, Xuelong Li
ICLRW 2025 Decentralized Transformers with Centralized Aggregation Are Sample-Efficient Multi-Agent World Models Yang Zhang, Chenjia Bai, Bin Zhao, Junchi Yan, Xiu Li, Xuelong Li
ICLR 2025 DriveTransformer: Unified Transformer for Scalable End-to-End Autonomous Driving Xiaosong Jia, Junqi You, Zhiyuan Zhang, Junchi Yan
NeurIPS 2025 Envisioning Beyond the Pixels: Benchmarking Reasoning-Informed Visual Editing Xiangyu Zhao, Peiyuan Zhang, Kexian Tang, Xiaorong Zhu, Hao Li, Wenhao Chai, Zicheng Zhang, Renqiu Xia, Guangtao Zhai, Junchi Yan, Hua Yang, Xue Yang, Haodong Duan
NeurIPS 2025 Fractional Langevin Dynamics for Combinatorial Optimization via Polynomial-Time Escape Shiyue Wang, Ziao Guo, Changhong Lu, Junchi Yan
ICCV 2025 FreqPDE: Rethinking Positional Depth Embedding for Multi-View 3D Object Detection Transformers Haisheng Su, Junjie Zhang, Feixiang Song, Sanping Zhou, Wei Wu, Junchi Yan, Nanning Zheng
NeurIPS 2025 Generation as Search Operator for Test-Time Scaling of Diffusion-Based Combinatorial Optimization Yang Li, Lvda Chen, Haonan Wang, Runzhong Wang, Junchi Yan
ICML 2025 Generative Modeling Reinvents Supervised Learning: Label Repurposing with Predictive Consistency Learning Yang Li, Jiale Ma, Yebin Yang, Qitian Wu, Hongyuan Zha, Junchi Yan
ICCV 2025 GeoFormer: Geometry Point Encoder for 3D Object Detection with Graph-Based Transformer Xin Jin, Haisheng Su, Cong Ma, Kai Liu, Wei Wu, Fei Hui, Junchi Yan
ICLR 2025 GeoX: Geometric Problem Solving Through Unified Formalized Vision-Language Pre-Training Renqiu Xia, Mingsheng Li, Hancheng Ye, Wenjie Wu, Hongbin Zhou, Jiakang Yuan, Tianshuo Peng, Xinyu Cai, Xiangchao Yan, Bin Wang, Conghui He, Botian Shi, Tao Chen, Junchi Yan, Bo Zhang
ICML 2025 HEAP: Hyper Extended A-PDHG Operator for Constrained High-Dim PDEs Mingquan Feng, Weixin Liao, Yixin Huang, Yifan Fu, Qifu Zheng, Junchi Yan
ICLR 2025 HShare: Fast LLM Decoding by Hierarchical Key-Value Sharing Huaijin Wu, Lianqiang Li, Hantao Huang, Tu Yi, Jihang Zhang, Minghui Yu, Junchi Yan
AAAI 2025 Int2Planner: An Intention-Based Multi-Modal Motion Planner for Integrated Prediction and Planning Xiaolei Chen, Junchi Yan, Wenlong Liao, Tao He, Pai Peng
ICML 2025 Learning Initial Basis Selection for Linear Programming via Duality-Inspired Tripartite Graph Representation and Comprehensive Supervision Anqi Lu, Junchi Yan
ICLR 2025 Learning Structured Universe Graph with Outlier OOD Detection for Partial Matching Zetian Jiang, Jiaxin Lu, Haizhao Fan, Tianzhe Wang, Junchi Yan
NeurIPS 2025 ML4CO-Bench-101: Benchmark Machine Learning for Classic Combinatorial Problems on Graphs Jiale Ma, Wenzheng Pan, Yang Li, Junchi Yan
NeurIPS 2025 MS-Bench: Evaluating LMMs in Ancient Manuscript Study Through a Dunhuang Case Study Yuqing Zhang, Yue Han, Shuanghe Zhu, Haoxiang Wu, Hangqi Li, Shengyu Zhang, Junchi Yan, Zemin Liu, Kun Kuang, Huaiyong Dou, Yongquan Zhang, Fei Wu
NeurIPS 2025 NTKMTL: Mitigating Task Imbalance in Multi-Task Learning from Neural Tangent Kernel Perspective Xiaohan Qin, Xiaoxing Wang, Ning Liao, Junchi Yan
ICLR 2025 On Designing General and Expressive Quantum Graph Neural Networks with Applications to MILP Instance Representation Xinyu Ye, Hao Xiong, Jianhao Huang, Ziang Chen, Jia Wang, Junchi Yan
ICLRW 2025 On the Cone Effect in the Learning Dynamics Zhanpeng Zhou, Yongyi Yang, Jie Ren, Mahito Sugiyama, Junchi Yan
ICML 2025 On the Role of Label Noise in the Feature Learning Process Andi Han, Wei Huang, Zhanpeng Zhou, Gang Niu, Wuyang Chen, Junchi Yan, Akiko Takeda, Taiji Suzuki
AAAI 2025 Optimal Control Operator Perspective and a Neural Adaptive Spectral Method Mingquan Feng, Zhijie Chen, Yixin Huang, Yizhou Liu, Junchi Yan
ICLR 2025 Optimal Flow Transport and Its Entropic Regularization: A GPU-Friendly Matrix Iterative Algorithm for Flow Balance Satisfaction Liangliang Shi, Yufeng Li, Kaipeng Zeng, Yihui Tu, Junchi Yan
IJCAI 2025 Optimize Battery Control: A Multi-Objective Evolutionary Ensemble Reinforcement Learning Approach Jingwei Hu, Kai Xie, Zheng Fang, Xiaodong Li, Junchi Yan, Zhihong Zhang
ICLR 2025 Pedestrian Motion Reconstruction: A Large-Scale Benchmark via Mixed Reality Rendering with Multiple Perspectives and Modalities Yichen Wang, Yiyi Zhang, Xinhao Hu, Li Niu, Jianfu Zhang, Yasushi Makihara, Yasushi Yagi, Pai Peng, Wenlong Liao, Tao He, Junchi Yan, Liqing Zhang
ICLR 2025 PhysPDE: Rethinking PDE Discovery and a Physical Hypothesis Selection Benchmark Mingquan Feng, Yixin Huang, Yizhou Liu, Bofang Jiang, Junchi Yan
ICCV 2025 Player-Centric Multimodal Prompt Generation for Large Language Model Based Identity-Aware Basketball Video Captioning Zeyu Xi, Haoying Sun, Yaofei Wu, Junchi Yan, Haoran Zhang, Lifang Wu, Liang Wang, Changwen Chen
CVPR 2025 Point2RBox-V2: Rethinking Point-Supervised Oriented Object Detection with Spatial Layout Among Instances Yi Yu, Botao Ren, Peiyuan Zhang, Mingxin Liu, Junwei Luo, Shaofeng Zhang, Feipeng Da, Junchi Yan, Xue Yang
ICML 2025 QEM-Bench: Benchmarking Learning-Based Quantum Error Mitigation and QEMFormer as a Multi-Ranged Context Learning Baseline Tianyi Bao, Ruizhe Zhong, Xinyu Ye, Yehui Tang, Junchi Yan
ICCV 2025 QuEST: Low-Bit Diffusion Model Quantization via Efficient Selective Finetuning Haoxuan Wang, Yuzhang Shang, Zhihang Yuan, Junyi Wu, Junchi Yan, Yan Yan
ICLR 2025 QuaDiM: A Conditional Diffusion Model for Quantum State Property Estimation Yehui Tang, Mabiao Long, Junchi Yan
ICML 2025 QuanONet: Quantum Neural Operator with Application to Differential Equation Ruocheng Wang, Zhuo Xia, Ge Yan, Junchi Yan
NeurIPS 2025 Raw2Drive: Reinforcement Learning with Aligned World Models for End-to-End Autonomous Driving (in CARLA V2) Zhenjie Yang, Xiaosong Jia, Qifeng Li, Xue Yang, Maoqing Yao, Junchi Yan
ICLR 2025 Regularizing Energy Among Training Samples for Out-of-Distribution Generalization Yiting Chen, Qitian Wu, Junchi Yan
NeurIPS 2025 Repurposing AlphaFold3-like Protein Folding Models for Antibody Sequence and Structure Co-Design Nianzu Yang, Songlin Jiang, Jian Ma, Huaijin Wu, Shuangjia Zheng, Wengong Jin, Junchi Yan
ICLRW 2025 Repurposing AlphaFold3-like Protein Folding Models for Antibody Sequence and Structure Co-Design Nianzu Yang, Jian Ma, Songlin Jiang, Huaijin Wu, Shuangjia Zheng, Wengong Jin, Junchi Yan
ICLR 2025 Rethinking Classifier Re-Training in Long-Tailed Recognition: Label Over-Smooth Can Balance Siyu Sun, Han Lu, Jiangtong Li, Yichen Xie, Tianjiao Li, Xiaokang Yang, Liqing Zhang, Junchi Yan
ICLR 2025 Rethinking and Improving Autoformalization: Towards a Faithful Metric and a Dependency Retrieval-Based Approach Qi Liu, Xinhao Zheng, Xudong Lu, Qinxiang Cao, Junchi Yan
CVPR 2025 Revisiting Fairness in Multitask Learning: A Performance-Driven Approach for Variance Reduction Xiaohan Qin, Xiaoxing Wang, Junchi Yan
CVPR 2025 RoboSense: Large-Scale Dataset and Benchmark for Egocentric Robot Perception and Navigation in Crowded and Unstructured Environments Haisheng Su, Feixiang Song, Cong Ma, Wei Wu, Junchi Yan
ICLR 2025 SINGER: Stochastic Network Graph Evolving Operator for High Dimensional PDEs Mingquan Feng, Yixin Huang, Weixin Liao, Yuhong Liu, Yizhou Liu, Junchi Yan
ICLR 2025 SelKD: Selective Knowledge Distillation via Optimal Transport Perspective Liangliang Shi, Zhengyan Shi, Junchi Yan
ICLR 2025 Sharpness-Aware Minimization Efficiently Selects Flatter Minima Late in Training Zhanpeng Zhou, Mingze Wang, Yuchen Mao, Bingrui Li, Junchi Yan
NeurIPS 2025 StruDiCO: Structured Denoising Diffusion with Gradient-Free Inference-Stage Boosting for Memory and Time Efficient Combinatorial Optimization Yu Wang, Yang Li, Junchi Yan, Yi Chang
IJCAI 2025 Tensor Network: From the Perspective of AI4Science and Science4AI Junchi Yan, Yehui Tang, Xinyu Ye, Hao Xiong, Xiaoqiu Zhong, Yuhan Wang, Yuan Qi
ICML 2025 The Sharpness Disparity Principle in Transformers for Accelerating Language Model Pre-Training Jinbo Wang, Mingze Wang, Zhanpeng Zhou, Junchi Yan, Weinan E, Lei Wu
CVPR 2025 Towards Consistent Multi-Task Learning: Unlocking the Potential of Task-Specific Parameters Xiaohan Qin, Xiaoxing Wang, Junchi Yan
ICCV 2025 Towards More Diverse and Challenging Pre-Training for Point Cloud Learning: Self-Supervised Cross Reconstruction with Decoupled Views Xiangdong Zhang, Shaofeng Zhang, Junchi Yan
NeurIPS 2025 Train on Pins and Test on Obstacles for Rectilinear Steiner Minimum Tree Xingbo Du, Ruizhe Zhong, Junchi Yan
ICLR 2025 Trajectory-LLM: A Language-Based Data Generator for Trajectory Prediction in Autonomous Driving Kairui Yang, Zihao Guo, Gengjie Lin, Haotian Dong, Zhao Huang, Yipeng Wu, Die Zuo, Jibin Peng, Ziyuan Zhong, Xin Wang, Qing Guo, Xiaosong Jia, Junchi Yan, Di Lin
JMLR 2025 Transformers from Diffusion: A Unified Framework for Neural Message Passing Qitian Wu, David Wipf, Junchi Yan
ICLR 2025 UniCO: On Unified Combinatorial Optimization via Problem Reduction to Matrix-Encoded General TSP Wenzheng Pan, Hao Xiong, Jiale Ma, Wentao Zhao, Yang Li, Junchi Yan
CVPR 2025 UniMamba: Unified Spatial-Channel Representation Learning with Group-Efficient Mamba for LiDAR-Based 3D Object Detection Xin Jin, Haisheng Su, Kai Liu, Cong Ma, Wei Wu, Fei Hui, Junchi Yan
ICLR 2025 Unify ML4TSP: Drawing Methodological Principles for TSP and Beyond from Streamlined Design Space of Learning and Search Yang Li, Jiale Ma, Wenzheng Pan, Runzhong Wang, Haoyu Geng, Nianzu Yang, Junchi Yan
NeurIPS 2025 VideoREPA: Learning Physics for Video Generation Through Relational Alignment with Foundation Models Xiangdong Zhang, Jiaqi Liao, Shaofeng Zhang, Fanqing Meng, Xiangpeng Wan, Junchi Yan, Yu Cheng
ICML 2024 ACM-MILP: Adaptive Constraint Modification via Grouping and Selection for Hardness-Preserving MILP Instance Generation Ziao Guo, Yang Li, Chang Liu, Wenli Ouyang, Junchi Yan
NeurIPS 2024 Bench2Drive: Towards Multi-Ability Benchmarking of Closed-Loop End-to-End Autonomous Driving Xiaosong Jia, Zhenjie Yang, Qifeng Li, Zhiyuan Zhang, Junchi Yan
NeurIPS 2024 Benchmarking PtO and PnO Methods in the Predictive Combinatorial Optimization Regime Haoyu Geng, Hang Ruan, Runzhong Wang, Yang Li, Yang Wang, Lei Chen, Junchi Yan
CVPR 2024 Boosting Order-Preserving and Transferability for Neural Architecture Search: A Joint Architecture Refined Search and Fine-Tuning Approach Beichen Zhang, Xiaoxing Wang, Xiaohan Qin, Junchi Yan
NeurIPS 2024 Boundary Matters: A Bi-Level Active Finetuning Method Han Lu, Yichen Xie, Xiaokang Yang, Junchi Yan
CVPR 2024 Circuit Design and Efficient Simulation of Quantum Inner Product and Empirical Studies of Its Effect on Near-Term Hybrid Quantum-Classic Machine Learning Hao Xiong, Yehui Tang, Xinyu Ye, Junchi Yan
NeurIPS 2024 Closed-Loop Visuomotor Control with Generative Expectation for Robotic Manipulation Qingwen Bu, Jia Zeng, Li Chen, Yanchao Yang, Guyue Zhou, Junchi Yan, Ping Luo, Heming Cui, Yi Ma, Hongyang Li
ICLR 2024 Continuous-Multiple Image Outpainting in One-Step via Positional Query and a Diffusion-Based Approach Shaofeng Zhang, Jinfa Huang, Qiang Zhou, Zhibin Wang, Fan Wang, Jiebo Luo, Junchi Yan
AAAI 2024 Double-Bounded Optimal Transport for Advanced Clustering and Classification Liangliang Shi, Zhaoqi Shen, Junchi Yan
AAAI 2024 Dynamic Reactive Spiking Graph Neural Network Han Zhao, Xu Yang, Cheng Deng, Junchi Yan
ICLR 2024 EBMDock: Neural Probabilistic Protein-Protein Docking via a Differentiable Energy Model Huaijin Wu, Wei Liu, Yatao Bian, Jiaxiang Wu, Nianzu Yang, Junchi Yan
NeurIPS 2024 Fast T2T: Optimization Consistency Speeds up Diffusion-Based Training-to-Testing Solving for Combinatorial Optimization Yang Li, Jinpei Guo, Runzhong Wang, Hongyuan Zha, Junchi Yan
NeurIPS 2024 FlexPlanner: Flexible 3D Floorplanning via Deep Reinforcement Learning in Hybrid Action Space with Multi-Modality Representation Ruizhe Zhong, Xingbo Du, Shixiong Kai, Zhentao Tang, Siyuan Xu, Jianye Hao, Mingxuan Yuan, Junchi Yan
ICLR 2024 Going Beyond Neural Network Feature Similarity: The Network Feature Complexity and Its Interpretation Using Category Theory Yiting Chen, Zhanpeng Zhou, Junchi Yan
ICML 2024 Graph Out-of-Distribution Detection Goes Neighborhood Shaping Tianyi Bao, Qitian Wu, Zetian Jiang, Yiting Chen, Jiawei Sun, Junchi Yan
CVPR 2024 Grounding and Enhancing Grid-Based Models for Neural Fields Zelin Zhao, Fenglei Fan, Wenlong Liao, Junchi Yan
ICML 2024 How Graph Neural Networks Learn: Lessons from Training Dynamics Chenxiao Yang, Qitian Wu, David Wipf, Ruoyu Sun, Junchi Yan
ICLR 2024 InterpGNN: Understand and Improve Generalization Ability of Transdutive GNNs Through the Lens of Interplay Between Train and Test Nodes Jiawei Sun, Kailai Li, Ruoxin Chen, Jie Li, Chentao Wu, Yue Ding, Junchi Yan
ICLR 2024 L2P-MIP: Learning to Presolve for Mixed Integer Programming Chang Liu, Zhichen Dong, Haobo Ma, Weilin Luo, Xijun Li, Bowen Pang, Jia Zeng, Junchi Yan
NeurIPSW 2024 LLM4Drive: A Survey of Large Language Models for Autonomous Driving Zhenjie Yang, Xiaosong Jia, Hongyang Li, Junchi Yan
ECCV 2024 LLMCO4MR: LLMs-Aided Neural Combinatorial Optimization for Ancient Manuscript Restoration from Fragments with Case Studies on Dunhuang Yuqing Zhang, Hangqi Li, Shengyu Zhang, Runzhong Wang, Baoyi He, Huaiyong Dou, Junchi Yan, Yongquan Zhang, Fei Wu
ICLR 2024 LaneSegNet: mAP Learning with Lane Segment Perception for Autonomous Driving Tianyu Li, Peijin Jia, Bangjun Wang, Li Chen, Kun Jiang, Junchi Yan, Hongyang Li
ICML 2024 Learning Divergence Fields for Shift-Robust Graph Representations Qitian Wu, Fan Nie, Chenxiao Yang, Junchi Yan
NeurIPS 2024 Learning Plaintext-Ciphertext Cryptographic Problems via ANF-Based SAT Instance Representation Xinhao Zheng, Yang Li, Cunxin Fan, Huaijin Wu, Xinhao Song, Junchi Yan
NeurIPS 2024 Leveraging Hallucinations to Reduce Manual Prompt Dependency in Promptable Segmentation Jian Hu, Jiayi Lin, Junchi Yan, Shaogang Gong
ICLR 2024 M3C: A Framework Towards Convergent, Flexible, and Unsupervised Learning of Mixture Graph Matching and Clustering Jiaxin Lu, Zetian Jiang, Tianzhe Wang, Junchi Yan
ICML 2024 MILP-FBGen: LP/MILP Instance Generation with Feasibility/Boundedness Yahong Zhang, Chenchen Fan, Donghui Chen, Congrui Li, Wenli Ouyang, Mingda Zhu, Junchi Yan
ICLR 2024 MixSATGEN: Learning Graph Mixing for SAT Instance Generation Xinyan Chen, Yang Li, Runzhong Wang, Junchi Yan
ICML 2024 MorphGrower: A Synchronized Layer-by-Layer Growing Approach for Plausible Neuronal Morphology Generation Nianzu Yang, Kaipeng Zeng, Haotian Lu, Yexin Wu, Zexin Yuan, Danni Chen, Shengdian Jiang, Jiaxiang Wu, Yimin Wang, Junchi Yan
ICLR 2024 Node2ket: Efficient High-Dimensional Network Embedding in Quantum Hilbert Space Hao Xiong, Yehui Tang, Yunlin He, Wei Tan, Junchi Yan
ICML 2024 OT-CLIP: Understanding and Generalizing CLIP via Optimal Transport Liangliang Shi, Jack Fan, Junchi Yan
ICML 2024 On the Emergence of Cross-Task Linearity in Pretraining-Finetuning Paradigm Zhanpeng Zhou, Zijun Chen, Yilan Chen, Bo Zhang, Junchi Yan
NeurIPS 2024 PCP-MAE: Learning to Predict Centers for Point Masked Autoencoders Xiangdong Zhang, Shaofeng Zhang, Junchi Yan
CVPR 2024 Point2RBox: Combine Knowledge from Synthetic Visual Patterns for End-to-End Oriented Object Detection with Single Point Supervision Yi Yu, Xue Yang, Qingyun Li, Feipeng Da, Jifeng Dai, Yu Qiao, Junchi Yan
CVPR 2024 PointOBB: Learning Oriented Object Detection via Single Point Supervision Junwei Luo, Xue Yang, Yi Yu, Qingyun Li, Junchi Yan, Yansheng Li
AAAI 2024 PreRoutGNN for Timing Prediction with Order Preserving Partition: Global Circuit Pre-Training, Local Delay Learning and Attentional Cell Modeling Ruizhe Zhong, Junjie Ye, Zhentao Tang, Shixiong Kai, Mingxuan Yuan, Jianye Hao, Junchi Yan
MLOSS 2024 Pygmtools: A Python Graph Matching Toolkit Runzhong Wang, Ziao Guo, Wenzheng Pan, Jiale Ma, Yikai Zhang, Nan Yang, Qi Liu, Longxuan Wei, Hanxue Zhang, Chang Liu, Zetian Jiang, Xiaokang Yang, Junchi Yan
NeurIPS 2024 QVAE-Mole: The Quantum VAE with Spherical Latent Variable Learning for 3-D Molecule Generation Huanjin Wu, Xinyu Ye, Junchi Yan
NeurIPS 2024 ReLIZO: Sample Reusable Linear Interpolation-Based Zeroth-Order Optimization Xiaoxing Wang, Xiaohan Qin, Xiaokang Yang, Junchi Yan
ICLR 2024 ReSimAD: Zero-Shot 3D Domain Transfer for Autonomous Driving with Source Reconstruction and Target Simulation Bo Zhang, Xinyu Cai, Jiakang Yuan, Donglin Yang, Jianfei Guo, Xiangchao Yan, Renqiu Xia, Botian Shi, Min Dou, Tao Chen, Si Liu, Junchi Yan, Yu Qiao
NeurIPS 2024 Rethinking Parity Check Enhanced Symmetry-Preserving Ansatz Ge Yan, Mengfei Ran, Ruocheng Wang, Kaiseng Pan, Junchi Yan
ICLR 2024 Rethinking the Symmetry-Preserving Circuits for Constrained Variational Quantum Algorithms Ge Yan, Hongxu Chen, Kaisen Pan, Junchi Yan
ICML 2024 SSL4Q: Semi-Supervised Learning of Quantum Data with Application to Quantum State Classification Yehui Tang, Nianzu Yang, Mabiao Long, Junchi Yan
CVPR 2024 Theoretically Achieving Continuous Representation of Oriented Bounding Boxes Zikai Xiao, Guoye Yang, Xue Yang, Taijiang Mu, Junchi Yan, Shimin Hu
ECCV 2024 Think2Drive: Efficient Reinforcement Learning by Thinking with Latent World Model for Autonomous Driving (in CARLA-V2) Qifeng Li, Xiaosong Jia, Shaobo Wang, Junchi Yan
NeurIPS 2024 Towards General Loop Invariant Generation: A Benchmark of Programs with Memory Manipulation Chang Liu, Xiwei Wu, Yuan Feng, Qinxiang Cao, Junchi Yan
ICLR 2024 Towards Imitation Learning to Branch for MIP: A Hybrid Reinforcement Learning Based Sample Augmentation Approach Changwen Zhang, Wenli Ouyang, Hao Yuan, Liming Gong, Yong Sun, Ziao Guo, Zhichen Dong, Junchi Yan
ICLR 2024 Towards LLM4QPE: Unsupervised Pretraining of Quantum Property Estimation and a Benchmark Yehui Tang, Hao Xiong, Nianzu Yang, Tailong Xiao, Junchi Yan
NeurIPS 2024 Training-Free Adaptive Diffusion with Bounded Difference Approximation Strategy Hancheng Ye, Jiakang Yuan, Renqiu Xia, Xiangchao Yan, Tao Chen, Junchi Yan, Botian Shi, Bo Zhang
ICML 2024 UP2ME: Univariate Pre-Training to Multivariate Fine-Tuning as a General-Purpose Framework for Multivariate Time Series Analysis Yunhao Zhang, Minghao Liu, Shengyang Zhou, Junchi Yan
NeurIPS 2024 Unveiling the Matthew Effect Across Channels: Assessing Layer Width Sufficiency via Weight Norm Variance Yiting Chen, Jiazi Bu, Junchi Yan
AAAI 2024 ViTree: Single-Path Neural Tree for Step-Wise Interpretable Fine-Grained Visual Categorization Danning Lao, Qi Liu, Jiazi Bu, Junchi Yan, Wei Shen
NeurIPS 2024 What Rotary Position Embedding Can Tell Us: Identifying Query and Key Weights Corresponding to Basic Syntactic or High-Level Semantic Information Yiting Chen, Junchi Yan
CVPR 2023 Active Finetuning: Exploiting Annotation Budget in the Pretraining-Finetuning Paradigm Yichen Xie, Han Lu, Junchi Yan, Xiaokang Yang, Masayoshi Tomizuka, Wei Zhan
AAAI 2023 C-NTPP: Learning Cluster-Aware Neural Temporal Point Process Fangyu Ding, Junchi Yan, Haiyang Wang
ICLR 2023 Contextual Image Masking Modeling via Synergized Contrasting Without View Augmentation for Faster and Better Visual Pretraining Shaofeng Zhang, Feng Zhu, Rui Zhao, Junchi Yan
ICLR 2023 Crossformer: Transformer Utilizing Cross-Dimension Dependency for Multivariate Time Series Forecasting Yunhao Zhang, Junchi Yan
ICLR 2023 DIFFormer: Scalable (Graph) Transformers Induced by Energy Constrained Diffusion Qitian Wu, Chenxiao Yang, Wentao Zhao, Yixuan He, David Wipf, Junchi Yan
CVPR 2023 Deep Learning of Partial Graph Matching via Differentiable Top-K Runzhong Wang, Ziao Guo, Shaofei Jiang, Xiaokang Yang, Junchi Yan
CVPR 2023 Distilling Focal Knowledge from Imperfect Expert for 3D Object Detection Jia Zeng, Li Chen, Hanming Deng, Lewei Lu, Junchi Yan, Yu Qiao, Hongyang Li
ICCV 2023 DriveAdapter: Breaking the Coupling Barrier of Perception and Planning in End-to-End Autonomous Driving Xiaosong Jia, Yulu Gao, Li Chen, Junchi Yan, Patrick Langechuan Liu, Hongyang Li
ICLR 2023 Energy-Based Out-of-Distribution Detection for Graph Neural Networks Qitian Wu, Yiting Chen, Chenxiao Yang, Junchi Yan
JMLR 2023 F2A2: Flexible Fully-Decentralized Approximate Actor-Critic for Cooperative Multi-Agent Reinforcement Learning Wenhao Li, Bo Jin, Xiangfeng Wang, Junchi Yan, Hongyuan Zha
NeurIPS 2023 Going Beyond Linear Mode Connectivity: The Layerwise Linear Feature Connectivity Zhanpeng Zhou, Yongyi Yang, Xiaojiang Yang, Junchi Yan, Wei Hu
ICLR 2023 Graph Neural Networks Are Inherently Good Generalizers: Insights by Bridging GNNs and MLPs Chenxiao Yang, Qitian Wu, Jiahua Wang, Junchi Yan
ICLR 2023 Graph Signal Sampling for Inductive One-Bit Matrix Completion: A Closed-Form Solution Chao Chen, Haoyu Geng, Gang Zeng, Zhaobing Han, Hua Chai, Xiaokang Yang, Junchi Yan
NeurIPS 2023 H2RBox-V2: Incorporating Symmetry for Boosting Horizontal Box Supervised Oriented Object Detection Yi Yu, Xue Yang, Qingyun Li, Yue Zhou, Feipeng Da, Junchi Yan
ICLR 2023 H2RBox: Horizontal Box Annotation Is All You Need for Oriented Object Detection Xue Yang, Gefan Zhang, Wentong Li, Yue Zhou, Xuehui Wang, Junchi Yan
NeurIPS 2023 HubRouter: Learning Global Routing via Hub Generation and Pin-Hub Connection Xingbo Du, Chonghua Wang, Ruizhe Zhong, Junchi Yan
IJCAI 2023 IID-GAN: An IID Sampling Perspective for Regularizing Mode Collapse Yang Li, Liangliang Shi, Junchi Yan
IJCAI 2023 Learning Calibrated Uncertainties for Domain Shift: A Distributionally Robust Learning Approach Haoxuan Wang, Zhiding Yu, Yisong Yue, Animashree Anandkumar, Anqi Liu, Junchi Yan
ICML 2023 LinSATNet: The Positive Linear Satisfiability Neural Networks Runzhong Wang, Yunhao Zhang, Ziao Guo, Tianyi Chen, Xiaokang Yang, Junchi Yan
NeurIPS 2023 OpenLane-V2: A Topology Reasoning Benchmark for Unified 3D HD Mapping Huijie Wang, Tianyu Li, Yang Li, Li Chen, Chonghao Sima, Zhenbo Liu, Bangjun Wang, Peijin Jia, Yuting Wang, Shengyin Jiang, Feng Wen, Hang Xu, Ping Luo, Junchi Yan, Wei Zhang, Hongyang Li
ICLR 2023 Patch-Level Contrasting Without Patch Correspondence for Accurate and Dense Contrastive Representation Learning Shaofeng Zhang, Feng Zhu, Rui Zhao, Junchi Yan
ICML 2023 Patch-Level Contrastive Learning via Positional Query for Visual Pre-Training Shaofeng Zhang, Qiang Zhou, Zhibin Wang, Fan Wang, Junchi Yan
AutoML 2023 Poisson Process for Bayesian Optimization Xiaoxing Wang, Jiaxing Li, Chao Xue, Wei Liu, Weifeng Liu, Xiaokang Yang, Junchi Yan, Dacheng Tao
ICLR 2023 Policy Pre-Training for Autonomous Driving via Self-Supervised Geometric Modeling Penghao Wu, Li Chen, Hongyang Li, Xiaosong Jia, Junchi Yan, Yu Qiao
ICML 2023 QAS-Bench: Rethinking Quantum Architecture Search and a Benchmark Xudong Lu, Kaisen Pan, Ge Yan, Jiaming Shan, Wenjie Wu, Junchi Yan
ICML 2023 Quantum 3D Graph Learning with Applications to Molecule Embedding Ge Yan, Huaijin Wu, Junchi Yan
ICML 2023 QuantumDARTS: Differentiable Quantum Architecture Search for Variational Quantum Algorithms Wenjie Wu, Ge Yan, Xudong Lu, Kaisen Pan, Junchi Yan
ICLR 2023 ROCO: A General Framework for Evaluating Robustness of Combinatorial Optimization Solvers on Graphs Han Lu, Zenan Li, Runzhong Wang, Qibing Ren, Xijun Li, Mingxuan Yuan, Jia Zeng, Xiaokang Yang, Junchi Yan
ICCV 2023 ROME: Robustifying Memory-Efficient NAS via Topology Disentanglement and Gradient Accumulation Xiaoxing Wang, Xiangxiang Chu, Yuda Fan, Zhexi Zhang, Bo Zhang, Xiaokang Yang, Junchi Yan
NeurIPS 2023 Relative Entropic Optimal Transport: A (Prior-Aware) Matching Perspective to (Unbalanced) Classification Liangliang Shi, Haoyu Zhen, Gu Zhang, Junchi Yan
ICLR 2023 Revocable Deep Reinforcement Learning with Affinity Regularization for Outlier-Robust Graph Matching Chang Liu, Zetian Jiang, Runzhong Wang, Lingxiao Huang, Pinyan Lu, Junchi Yan
NeurIPS 2023 SGFormer: Simplifying and Empowering Transformers for Large-Graph Representations Qitian Wu, Wentao Zhao, Chenxiao Yang, Hengrui Zhang, Fan Nie, Haitian Jiang, Yatao Bian, Junchi Yan
NeurIPS 2023 T2T: From Distribution Learning in Training to Gradient Search in Testing for Combinatorial Optimization Yang Li, Jinpei Guo, Runzhong Wang, Junchi Yan
ICLR 2023 The KFIoU Loss for Rotated Object Detection Xue Yang, Yue Zhou, Gefan Zhang, Jirui Yang, Wentao Wang, Junchi Yan, Xiaopeng Zhang, Qi Tian
CVPR 2023 Think Twice Before Driving: Towards Scalable Decoders for End-to-End Autonomous Driving Xiaosong Jia, Penghao Wu, Li Chen, Jiangwei Xie, Conghui He, Junchi Yan, Hongyang Li
ICLR 2023 Towards One-Shot Neural Combinatorial Solvers: Theoretical and Empirical Notes on the Cardinality-Constrained Case Runzhong Wang, Li Shen, Yiting Chen, Xiaokang Yang, Dacheng Tao, Junchi Yan
ICML 2023 Towards Quantum Machine Learning for Constrained Combinatorial Optimization: A Quantum QAP Solver Xinyu Ye, Ge Yan, Junchi Yan
IJCAI 2023 Transformers in Time Series: A Survey Qingsong Wen, Tian Zhou, Chaoli Zhang, Weiqi Chen, Ziqing Ma, Junchi Yan, Liang Sun
ICML 2023 Understanding and Generalizing Contrastive Learning from the Inverse Optimal Transport Perspective Liangliang Shi, Gu Zhang, Haoyu Zhen, Jintao Fan, Junchi Yan
ECCV 2022 A Max-Flow Based Approach for Neural Architecture Search Chao Xue, Xiaoxing Wang, Junchi Yan, Chun-Guang Li
CVPR 2022 Align Representations with Base: A New Approach to Self-Supervised Learning Shaofeng Zhang, Lyn Qiu, Feng Zhu, Junchi Yan, Hengrui Zhang, Rui Zhao, Hongyang Li, Xiaokang Yang
CVPR 2022 Appearance and Structure Aware Robust Deep Visual Graph Matching: Attack, Defense and Beyond Qibing Ren, Qingquan Bao, Runzhong Wang, Junchi Yan
LoG 2022 CEP3: Community Event Prediction with Neural Point Process on Graph Xuhong Wang, Sirui Chen, Yixuan He, Minjie Wang, Quan Gan, Junchi Yan
ICML 2022 Deep Neural Network Fusion via Graph Matching with Applications to Model Ensemble and Federated Learning Chang Liu, Chenfei Lou, Runzhong Wang, Alan Yuhan Xi, Li Shen, Junchi Yan
ECCV 2022 EAutoDet: Efficient Architecture Search for Object Detection Xiaoxing Wang, Jiale Lin, Juanping Zhao, Xiaokang Yang, Junchi Yan
ICLR 2022 Explaining Point Processes by Learning Interpretable Temporal Logic Rules Shuang Li, Mingquan Feng, Lu Wang, Abdelmajid Essofi, Yufeng Cao, Junchi Yan, Le Song
ICML 2022 GNNRank: Learning Global Rankings from Pairwise Comparisons via Directed Graph Neural Networks Yixuan He, Quan Gan, David Wipf, Gesine D Reinert, Junchi Yan, Mihai Cucuringu
NeurIPS 2022 Geometric Knowledge Distillation: Topology Compression for Graph Neural Networks Chenxiao Yang, Qitian Wu, Junchi Yan
NeurIPS 2022 GraphDE: A Generative Framework for Debiased Learning and Out-of-Distribution Detection on Graphs Zenan Li, Qitian Wu, Fan Nie, Junchi Yan
NeurIPS 2022 GraphQNTK: Quantum Neural Tangent Kernel for Graph Data Yehui Tang, Junchi Yan
ICLR 2022 Handling Distribution Shifts on Graphs: An Invariance Perspective Qitian Wu, Hengrui Zhang, Junchi Yan, David Wipf
NeurIPS 2022 Improving Generative Adversarial Networks via Adversarial Learning in Latent Space Yang Li, Yichuan Mo, Liangliang Shi, Junchi Yan
AAAI 2022 Input-Specific Robustness Certification for Randomized Smoothing Ruoxin Chen, Jie Li, Junchi Yan, Ping Li, Bin Sheng
IJCAI 2022 Learning Mixture of Neural Temporal Point Processes for Multi-Dimensional Event Sequence Clustering Yunhao Zhang, Junchi Yan, Xiaolu Zhang, Jun Zhou, Xiaokang Yang
NeurIPS 2022 Learning Substructure Invariance for Out-of-Distribution Molecular Representations Nianzu Yang, Kaipeng Zeng, Qitian Wu, Xiaosong Jia, Junchi Yan
ECCV 2022 Learning Unbiased Transferability for Domain Adaptation by Uncertainty Modeling Jian Hu, Haowen Zhong, Fei Yang, Shaogang Gong, Guile Wu, Junchi Yan
NeurIPS 2022 NodeFormer: A Scalable Graph Structure Learning Transformer for Node Classification Qitian Wu, Wentao Zhao, Zenan Li, David P Wipf, Junchi Yan
ICLR 2022 Nonlinear ICA Using Volume-Preserving Transformations Xiaojiang Yang, Yi Wang, Jiacheng Sun, Xing Zhang, Shifeng Zhang, Zhenguo Li, Junchi Yan
CVPR 2022 Object Localization Under Single Coarse Point Supervision Xuehui Yu, Pengfei Chen, Di Wu, Najmul Hassan, Guorong Li, Junchi Yan, Humphrey Shi, Qixiang Ye, Zhenjun Han
ICML 2022 On Collective Robustness of Bagging Against Data Poisoning Ruoxin Chen, Zenan Li, Jie Li, Junchi Yan, Chentao Wu
CVPR 2022 Optimal LED Spectral Multiplexing for NIR2RGB Translation Lei Liu, Yuze Chen, Junchi Yan, Yinqiang Zheng
ECCV 2022 PersFormer: 3D Lane Detection via Perspective Transformer and the OpenLane Benchmark Li Chen, Chonghao Sima, Yang Li, Zehan Zheng, Jiajie Xu, Xiangwei Geng, Hongyang Li, Conghui He, Jianping Shi, Yu Qiao, Junchi Yan
NeurIPS 2022 Rethinking and Improving Robustness of Convolutional Neural Networks: A Shapley Value-Based Approach in Frequency Domain Yiting Chen, Qibing Ren, Junchi Yan
ECCV 2022 ST-P3: End-to-End Vision-Based Autonomous Driving via Spatial-Temporal Feature Learning Shengchao Hu, Li Chen, Penghao Wu, Hongyang Li, Junchi Yan, Dacheng Tao
ECCV 2022 Self-Supervised Learning of Visual Graph Matching Chang Liu, Shaofeng Zhang, Xiaokang Yang, Junchi Yan
ECCV 2022 StyleFace: Towards Identity-Disentangled Face Generation on Megapixels Yuchen Luo, Junwei Zhu, Keke He, Wenqing Chu, Ying Tai, Chengjie Wang, Junchi Yan
NeurIPS 2022 The Policy-Gradient Placement and Generative Routing Neural Networks for Chip Design Ruoyu Cheng, Xianglong Lyu, Yang Li, Junjie Ye, Jianye Hao, Junchi Yan
CoRL 2022 Towards Capturing the Temporal Dynamics for Trajectory Prediction: A Coarse-to-Fine Approach Xiaosong Jia, Li Chen, Penghao Wu, Jia Zeng, Junchi Yan, Hongyang Li, Yu Qiao
NeurIPS 2022 Towards Out-of-Distribution Sequential Event Prediction: A Causal Treatment Chenxiao Yang, Qitian Wu, Qingsong Wen, Zhiqiang Zhou, Liang Sun, Junchi Yan
NeurIPS 2022 Trajectory-Guided Control Prediction for End-to-End Autonomous Driving: A Simple yet Strong Baseline Penghao Wu, Xiaosong Jia, Li Chen, Junchi Yan, Hongyang Li, Yu Qiao
NeurIPS 2022 ZARTS: On Zero-Order Optimization for Neural Architecture Search Xiaoxing Wang, Wenxuan Guo, Jianlin Su, Xiaokang Yang, Junchi Yan
ICLR 2022 Zero-CL: Instance and Feature Decorrelation for Negative-Free Symmetric Contrastive Learning Shaofeng Zhang, Feng Zhu, Junchi Yan, Rui Zhao, Xiaokang Yang
NeurIPS 2021 A Bi-Level Framework for Learning to Solve Combinatorial Optimization on Graphs Runzhong Wang, Zhigang Hua, Gan Liu, Jiayi Zhang, Junchi Yan, Feng Qi, Shuang Yang, Jun Zhou, Xiaokang Yang
CVPR 2021 Combinatorial Learning of Graph Edit Distance via Dynamic Embedding Runzhong Wang, Tianqi Zhang, Tianshu Yu, Junchi Yan, Xiaokang Yang
ICLR 2021 DARTS-: Robustly Stepping Out of Performance Collapse Without Indicators Xiangxiang Chu, Xiaoxing Wang, Bo Zhang, Shun Lu, Xiaolin Wei, Junchi Yan
ICML 2021 Deep Latent Graph Matching Tianshu Yu, Runzhong Wang, Junchi Yan, Baoxin Li
CVPR 2021 Dense Label Encoding for Boundary Discontinuity Free Rotation Detection Xue Yang, Liping Hou, Yue Zhou, Wentao Wang, Junchi Yan
NeurIPS 2021 From Canonical Correlation Analysis to Self-Supervised Graph Neural Networks Hengrui Zhang, Qitian Wu, Junchi Yan, David P. Wipf, Philip S Yu
NeurIPS 2021 GRIN: Generative Relation and Intention Network for Multi-Agent Trajectory Prediction Longyuan Li, Jian Yao, Li Wenliang, Tong He, Tianjun Xiao, Junchi Yan, David P. Wipf, Zheng Zhang
CVPR 2021 Generalizing Face Forgery Detection with High-Frequency Features Yuchen Luo, Yong Zhang, Junchi Yan, Wei Liu
AAAI 2021 Learning Comprehensive Motion Representation for Action Recognition Mingyu Wu, Boyuan Jiang, Donghao Luo, Junchi Yan, Yabiao Wang, Ying Tai, Chengjie Wang, Jilin Li, Feiyue Huang, Xiaokang Yang
NeurIPS 2021 Learning High-Precision Bounding Box for Rotated Object Detection via Kullback-Leibler Divergence Xue Yang, Xiaojiang Yang, Jirui Yang, Qi Ming, Wentao Wang, Qi Tian, Junchi Yan
AAAI 2021 Learning Local Neighboring Structure for Robust 3D Shape Representation Zhongpai Gao, Junchi Yan, Guangtao Zhai, Juyong Zhang, Yiyan Yang, Xiaokang Yang
AAAI 2021 Learning Modulated Loss for Rotated Object Detection Wen Qian, Xue Yang, Silong Peng, Junchi Yan, Yue Guo
ICML 2021 Learning Self-Modulating Attention in Continuous Time Space with Applications to Sequential Recommendation Chao Chen, Haoyu Geng, Nianzu Yang, Junchi Yan, Daiyue Xue, Jianping Yu, Xiaokang Yang
IJCAI 2021 Learning Spectral Dictionary for Local Representation of Mesh Zhongpai Gao, Junchi Yan, Guangtao Zhai, Xiaokang Yang
IJCAI 2021 Neural Relation Inference for Multi-Dimensional Temporal Point Processes via Message Passing Graph Yunhao Zhang, Junchi Yan
NeurIPS 2021 On Joint Learning for Solving Placement and Routing in Chip Design Ruoyu Cheng, Junchi Yan
AAAI 2021 R3Det: Refined Single-Stage Detector with Feature Refinement for Rotating Object Xue Yang, Junchi Yan, Ziming Feng, Tao He
AAAI 2021 Rethinking Bi-Level Optimization in Neural Architecture Search: A Gibbs Sampling Perspective Chao Xue, Xiaoxing Wang, Junchi Yan, Yonggang Hu, Xiaokang Yang, Kewei Sun
ICML 2021 Rethinking Rotated Object Detection with Gaussian Wasserstein Distance Loss Xue Yang, Junchi Yan, Qi Ming, Wentao Wang, Xiaopeng Zhang, Qi Tian
AAAI 2021 Scalable and Explainable 1-Bit Matrix Completion via Graph Signal Learning Chao Chen, Dongsheng Li, Junchi Yan, Hanchi Huang, Xiaokang Yang
CVPR 2021 SelfSAGCN: Self-Supervised Semantic Alignment for Graph Convolution Network Xu Yang, Cheng Deng, Zhiyuan Dang, Kun Wei, Junchi Yan
AAAI 2021 Synergetic Learning of Heterogeneous Temporal Sequences for Multi-Horizon Probabilistic Forecasting Longyuan Li, Jihai Zhang, Junchi Yan, Yaohui Jin, Yunhao Zhang, Yanjie Duan, Guangjian Tian
NeurIPS 2021 Towards Open-World Feature Extrapolation: An Inductive Graph Learning Approach Qitian Wu, Chenxiao Yang, Junchi Yan
ICML 2021 Towards Open-World Recommendation: An Inductive Model-Based Collaborative Filtering Approach Qitian Wu, Hengrui Zhang, Xiaofeng Gao, Junchi Yan, Hongyuan Zha
CVPR 2021 Tuning IR-Cut Filter for Illumination-Aware Spectral Reconstruction from RGB Bo Sun, Junchi Yan, Xiao Zhou, Yinqiang Zheng
NeurIPS 2020 Adversarial Learning for Robust Deep Clustering Xu Yang, Cheng Deng, Kun Wei, Junchi Yan, Wei Liu
ECCV 2020 Arbitrary-Oriented Object Detection with Circular Smooth Label Xue Yang, Junchi Yan
ECCV 2020 AutoMix: Mixup Networks for Sample Interpolation via Cooperative Barycenter Learning Jianchao Zhu, Liangliang Shi, Junchi Yan, Hongyuan Zha
ECCV 2020 Discriminative Partial Domain Adversarial Network Jian Hu, Hongya Tuo, Chao Wang, Lingfeng Qiao, Haowen Zhong, Junchi Yan, Zhongliang Jing, Henry Leung
NeurIPS 2020 Graduated Assignment for Joint Multi-Graph Matching and Clustering with Application to Unsupervised Graph Matching Network Learning Runzhong Wang, Junchi Yan, Xiaokang Yang
ICLR 2020 Learning Deep Graph Matching with Channel-Independent Embedding and Hungarian Attention Tianshu Yu, Runzhong Wang, Junchi Yan, Baoxin Li
IJCAI 2020 Learning for Graph Matching and Related Combinatorial Optimization Problems Junchi Yan, Shuang Yang, Edwin R. Hancock
IJCAI 2020 MergeNAS: Merge Operations into One for Differentiable Architecture Search Xiaoxing Wang, Chao Xue, Junchi Yan, Xiaokang Yang, Yonggang Hu, Kewei Sun
AAAI 2020 Multiple Graph Matching and Clustering via Decayed Pairwise Matching Composition Tianzhe Wang, Zetian Jiang, Junchi Yan
ECCV 2020 Rethinking the Defocus Blur Detection Problem and a Real-Time Deep DBD Model Ning Zhang, Junchi Yan
NeurIPS 2020 The Diversified Ensemble Neural Network Shaofeng Zhang, Meng Liu, Junchi Yan
IJCAI 2019 Graph Convolutional Network Hashing for Cross-Modal Retrieval Ruiqing Xu, Chao Li, Junchi Yan, Cheng Deng, Xianglong Liu
IJCAI 2019 Joint Link Prediction and Network Alignment via Cross-Graph Embedding Xingbo Du, Junchi Yan, Hongyuan Zha
IJCAI 2019 Learning Interpretable Deep State Space Model for Probabilistic Time Series Forecasting Longyuan Li, Junchi Yan, Xiaokang Yang, Yaohui Jin
NeurIPS 2019 Learning Latent Process from High-Dimensional Event Sequences via Efficient Sampling Qitian Wu, Zixuan Zhang, Xiaofeng Gao, Junchi Yan, Guihai Chen
IJCAI 2019 TransMS: Knowledge Graph Embedding for Complex Relations by Multidirectional Semantics Shihui Yang, Jidong Tian, Honglun Zhang, Junchi Yan, Hao He, Yaohui Jin
IJCAI 2018 Collaborative and Attentive Learning for Personalized Image Aesthetic Assessment Guolong Wang, Junchi Yan, Zheng Qin
NeurIPS 2018 Generalizing Graph Matching Beyond Quadratic Assignment Model Tianshu Yu, Junchi Yan, Yilin Wang, Wei Liu, Baoxin Li
IJCAI 2018 Improving Maximum Likelihood Estimation of Temporal Point Process via Discriminative and Adversarial Learning Junchi Yan, Xin Liu, Liangliang Shi, Changsheng Li, Hongyuan Zha
ECCV 2018 Incremental Multi-Graph Matching via Diversity and Randomness Based Graph Clustering Tianshu Yu, Junchi Yan, Wei Liu, Baoxin Li
AAAI 2018 Learning Conditional Generative Models for Temporal Point Processes Shuai Xiao, Hongteng Xu, Junchi Yan, Mehrdad Farajtabar, Xiaokang Yang, Le Song, Hongyuan Zha
IJCAI 2018 Learning Sequential Correlation for User Generated Textual Content Popularity Prediction Wen Wang, Wei Zhang, Jun Wang, Junchi Yan, Hongyuan Zha
AAAI 2018 Tau-FPL: Tolerance-Constrained Learning in Linear Time Ao Zhang, Nan Li, Jian Pu, Jun Wang, Junchi Yan, Hongyuan Zha
IJCAI 2018 Weakly Supervised Audio Source Separation via Spectrum Energy Preserved Wasserstein Learning Ning Zhang, Junchi Yan, Yuchen Zhou
CVPR 2017 Fractal Dimension Invariant Filtering and Its CNN-Based Implementation Hongteng Xu, Junchi Yan, Nils Persson, Weiyao Lin, Hongyuan Zha
AAAI 2017 GLOMA: Embedding Global Information in Local Matrix Approximation Models for Collaborative Filtering Chao Chen, Dongsheng Li, Qin Lv, Junchi Yan, Li Shang, Stephen M. Chu
AAAI 2017 Modeling the Intensity Function of Point Process via Recurrent Neural Networks Shuai Xiao, Junchi Yan, Xiaokang Yang, Hongyuan Zha, Stephen M. Chu
AAAI 2017 On Predictive Patent Valuation: Forecasting Patent Citations and Their Types Xin Liu, Junchi Yan, Shuai Xiao, Xiangfeng Wang, Hongyuan Zha, Stephen M. Chu
AAAI 2017 Self-Paced Multi-Task Learning Changsheng Li, Junchi Yan, Fan Wei, Weishan Dong, Qingshan Liu, Hongyuan Zha
AAAI 2017 Unsupervised Deep Learning for Optical Flow Estimation Zhe Ren, Junchi Yan, Bingbing Ni, Bin Liu, Xiaokang Yang, Hongyuan Zha
NeurIPS 2017 Wasserstein Learning of Deep Generative Point Process Models Shuai Xiao, Mehrdad Farajtabar, Xiaojing Ye, Junchi Yan, Le Song, Hongyuan Zha
ICML 2016 Low-Rank Matrix Approximation with Stability Dongsheng Li, Chao Chen, Qin Lv, Junchi Yan, Li Shang, Stephen Chu
IJCAI 2016 MPMA: Mixture Probabilistic Matrix Approximation for Collaborative Filtering Chao Chen, Dongsheng Li, Qin Lv, Junchi Yan, Stephen M. Chu, Li Shang
IJCAI 2016 Modeling Contagious Merger and Acquisition via Point Processes with a Profile Regression Prior Junchi Yan, Shuai Xiao, Changsheng Li, Bo Jin, Xiangfeng Wang, Bin Ke, Xiaokang Yang, Hongyuan Zha
IJCAI 2016 On Modeling and Predicting Individual Paper Citation Count over Time Shuai Xiao, Junchi Yan, Changsheng Li, Bo Jin, Xiangfeng Wang, Xiaokang Yang, Stephen M. Chu, Hongyuan Zha
AAAI 2016 Spatially Regularized Streaming Sensor Selection Changsheng Li, Fan Wei, Weishan Dong, Xiangfeng Wang, Junchi Yan, Xiaobin Zhu, Qingshan Liu, Xin Zhang
ICCV 2015 A Matrix Decomposition Perspective to Multiple Graph Matching Junchi Yan, Hongteng Xu, Hongyuan Zha, Xiaokang Yang, Huanxi Liu, Stephen Chu
CVPR 2015 Discrete Hyper-Graph Matching Junchi Yan, Chao Zhang, Hongyuan Zha, Wei Liu, Xiaokang Yang, Stephen M. Chu
AAAI 2015 Multi-View Point Registration via Alternating Optimization Junchi Yan, Jun Wang, Hongyuan Zha, Xiaokang Yang, Stephen M. Chu
AAAI 2015 On Machine Learning Towards Predictive Sales Pipeline Analytics Junchi Yan, Chao Zhang, Hongyuan Zha, Min Gong, Changhua Sun, Jin Huang, Stephen M. Chu, Xiaokang Yang
ICCV 2015 Person Re-Identification with Correspondence Structure Learning Yang Shen, Weiyao Lin, Junchi Yan, Mingliang Xu, Jianxin Wu, Jingdong Wang
ECCV 2014 Graduated Consistency-Regularized Optimization for Multi-Graph Matching Junchi Yan, Yin Li, Wei Liu, Hongyuan Zha, Xiaokang Yang, Stephen Mingyu Chu
ICCV 2013 Joint Optimization for Consistent Multiple Graph Matching Junchi Yan, Yu Tian, Hongyuan Zha, Xiaokang Yang, Ya Zhang, Stephen M. Chu
IJCAI 2013 Towards Effective Prioritizing Water Pipe Replacement and Rehabilitation Junchi Yan, Yu Wang, Ke Zhou, Jin Huang, Chunhua Tian, Hongyuan Zha, Weishan Dong
ECCV 2012 On the Convergence of Graph Matching: Graduated Assignment Revisited Yu Tian, Junchi Yan, Hequan Zhang, Ya Zhang, Xiaokang Yang, Hongyuan Zha
ECCV 2010 Optimum Subspace Learning and Error Correction for Tensors Yin Li, Junchi Yan, Yue Zhou, Jie Yang