| 2026 | AAAI | ST-TPP: Learning Semi-Transductive Temporal Point Processes with Gromov-Wasserstein Barycentric Regularization. | Qingmei Wang, Tianyu Huang, Yujie Long, Yuxin Wu, Fanmeng Wang, Xi Sun, Junchi Yan, Hongteng Xu |
| 2026 | AAAI | Towards Real-Time Neutral Atom Array Assembly via Unsupervised Hologram Generation and Path Optimization. | Ge Yan, Yuchen Wang, Junchi Yan |
| 2026 | AAAI | On the Learning Dynamics of Two-layer Linear Networks with Label Noise SGD. | Tongcheng Zhang, Zhanpeng Zhou, Mingze Wang, Andi Han, Wei Huang, Taiji Suzuki, Junchi Yan |
| 2025 | AAAI | Int2Planner: An Intention-based Multi-modal Motion Planner for Integrated Prediction and Planning. | Xiaolei Chen, Junchi Yan, Wenlong Liao, Tao He, Pai Peng |
| 2025 | AAAI | Optimal Control Operator Perspective and a Neural Adaptive Spectral Method. | Mingquan Feng, Zhijie Chen, Yixin Huang, Yizhou Liu, Junchi Yan |
| 2025 | ACL | LLMs know their vulnerabilities: Uncover Safety Gaps through Natural Distribution Shifts. | Qibing Ren, Hao Li, Dongrui Liu, Zhanxu Xie, Xiaoya Lu, Yu Qiao, Lei Sha, Junchi Yan, Lizhuang Ma, Jing Shao |
| 2025 | ACL | Re-TASK: Revisiting LLM Tasks from Capability, Skill, and Knowledge Perspectives. | Zhihu Wang, Shiwan Zhao, Yu Wang, Heyuan Huang, Sitao Xie, Yubo Zhang, Jiaxin Shi, Zhixing Wang, Hongyan Li, Junchi Yan |
| 2025 | CVPR | 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 |
| 2025 | CVPR | 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 |
| 2025 | CVPR | Towards Consistent Multi-Task Learning: Unlocking the Potential of Task-Specific Parameters. | Xiaohan Qin, Xiaoxing Wang, Junchi Yan |
| 2025 | CVPR | Revisiting Fairness in Multitask Learning: A Performance-Driven Approach for Variance Reduction. | Xiaohan Qin, Xiaoxing Wang, Junchi Yan |
| 2025 | CVPR | 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 |
| 2025 | ICASSP | Melody Structure Transfer Network: Generating Music with Separable Self-Attention. | Junlin Wu, Ning Zhang, Cheng Zhong, Boan Chen, Huanxi Liu, Junchi Yan |
| 2025 | ICASSP | LaTeXNet: A Specialized Model for Converting Visual Tables and Equations to LaTeX Code. | Renqiu Xia, Hongbin Zhou, Ziming Feng, Huanxi Liu, Boan Chen, Bo Zhang, Junchi Yan |
| 2025 | ICASSP | Towards Green VAE: A Light Pixel-weighting Technique to Enhance Variational AutoEncoder. | Cheng Zhong, Junlin Wu, Ziming Feng, Boan Chen, Junchi Yan |
| 2025 | ICASSP | Graph Pooling via Dropping Task-Irrelevant Nodes. | Cheng Zhong, Shaofeng Zhang, Feng Zhu, Rui Zhao, Xiaokang Yang, Junchi Yan |
| 2025 | ICCV | 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 |
| 2025 | ICCV | 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 |
| 2025 | ICCV | QuEST: Low-Bit Diffusion Model Quantization via Efficient Selective Finetuning. | Haoxuan Wang, Yuzhang Shang, Zhihang Yuan, Junyi Wu, Junchi Yan, Yan Yan |
| 2025 | ICCV | 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 |
| 2025 | ICCV | Towards More Diverse and Challenging Pre-Training for Point Cloud Learning: Self-Supervised Cross Reconstruction with Decoupled Views. | Xiangdong Zhang, Shaofeng Zhang, Junchi Yan |
| 2025 | ICLR | Regularizing Energy among Training Samples for Out-of-Distribution Generalization. | Yiting Chen, Qitian Wu, Junchi Yan |
| 2025 | ICLR | 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 |
| 2025 | ICLR | PhysPDE: Rethinking PDE Discovery and a Physical Hypothesis Selection Benchmark. | Mingquan Feng, Yixin Huang, Yizhou Liu, Bofang Jiang, Junchi Yan |
| 2025 | ICLR | SINGER: Stochastic Network Graph Evolving Operator for High Dimensional PDEs. | Mingquan Feng, Yixin Huang, Weixin Liao, Yuhong Liu, Yizhou Liu, Junchi Yan |
| 2025 | ICLR | Learning Structured Universe Graph with Outlier OOD Detection for Partial Matching. | Zetian Jiang, Jiaxin Lu, Haizhao Fan, Tianzhe Wang, Junchi Yan |
| 2025 | ICLR | DriveTransformer: Unified Transformer for Scalable End-to-End Autonomous Driving. | Xiaosong Jia, Junqi You, Zhiyuan Zhang, Junchi Yan |
| 2025 | ICLR | 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 |
| 2025 | ICLR | Rethinking and Improving Autoformalization: Towards a Faithful Metric and a Dependency Retrieval-based Approach. | Qi Liu, Xinhao Zheng, Xudong Lu, Qinxiang Cao, Junchi Yan |
| 2025 | ICLR | 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 |
| 2025 | ICLR | 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 |
| 2025 | ICLR | SelKD: Selective Knowledge Distillation via Optimal Transport Perspective. | Liangliang Shi, Zhengyan Shi, Junchi Yan |
| 2025 | ICLR | 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 |
| 2025 | ICLR | QuaDiM: A Conditional Diffusion Model For Quantum State Property Estimation. | Yehui Tang, Mabiao Long, Junchi Yan |
| 2025 | ICLR | 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 |
| 2025 | ICLR | HShare: Fast LLM Decoding by Hierarchical Key-Value Sharing. | Huaijin Wu, Lianqiang Li, Hantao Huang, Tu Yi, Jihang Zhang, Minghui Yu, Junchi Yan |
| 2025 | ICLR | 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 |
| 2025 | ICLR | 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 |
| 2025 | ICLR | 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 |
| 2025 | ICLR | 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 |
| 2025 | ICLR | 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 |
| 2025 | ICLR | Sharpness-Aware Minimization Efficiently Selects Flatter Minima Late In Training. | Zhanpeng Zhou, Mingze Wang, Yuchen Mao, Bingrui Li, Junchi Yan |
| 2025 | ICML | The Sharpness Disparity Principle in Transformers for Accelerating Language Model Pre-Training. | Jinbo Wang, Mingze Wang, Zhanpeng Zhou, Junchi Yan, Weinan E, Lei Wu |
| 2025 | ICML | Generative Modeling Reinvents Supervised Learning: Label Repurposing with Predictive Consistency Learning. | Yang Li, Jiale Ma, Yebin Yang, Qitian Wu, Hongyuan Zha, Junchi Yan |
| 2025 | ICML | 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 |
| 2025 | ICML | HEAP: Hyper Extended A-PDHG Operator for Constrained High-dim PDEs. | Mingquan Feng, Weixin Liao, Yixin Huang, Yifan Fu, Qifu Zheng, Junchi Yan |
| 2025 | ICML | 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 |
| 2025 | ICML | Learning Initial Basis Selection for Linear Programming via Duality-Inspired Tripartite Graph Representation and Comprehensive Supervision. | Anqi Lu, Junchi Yan |
| 2025 | ICML | COExpander: Adaptive Solution Expansion for Combinatorial Optimization. | Jiale Ma, Wenzheng Pan, Yang Li, Junchi Yan |
| 2025 | ICML | DSBRouter: End-to-end Global Routing via Diffusion Schr\"{o}dinger Bridge. | Liangliang Shi, Shenhui Zhang, Xingbo Du, Nianzu Yang, Junchi Yan |
| 2025 | ICML | QuanONet: Quantum Neural Operator with Application to Differential Equation. | Ruocheng Wang, Zhuo Xia, Ge Yan, Junchi Yan |
| 2025 | IJCAI | Optimize Battery Control: A Multi-Objective Evolutionary Ensemble Reinforcement Learning Approach. | Jingwei Hu, Kai Xie, Zheng Fang, Xiaodong Li, Junchi Yan, Zhihong Zhang |
| 2025 | IJCAI | Tensor Network: from the Perspective of AI4Science and Science4AI. | Junchi Yan, Yehui Tang, Xinyu Ye, Hao Xiong, Xiaoqiu Zhong, Yuhan Wang, Yuan Qi |
| 2025 | IJCNN | SE-Merging: A Self-Enhanced Approach for Dynamic Model Merging. | Zijun Chen, Zhanpeng Zhou, Bo Zhang, Weinan Zhang, Xi Sun, Junchi Yan |
| 2025 | ICRA | FlatFusion: Delving Into Details of Sparse Transformer-Based Camera-LiDAR Fusion for Autonomous Driving. | Yutao Zhu, Xiaosong Jia, Xinyu Yang, Junchi Yan |
| 2025 | KDD | Reinvent the Operation not the Architecture: Quantum-inspired High-order Product for Compatible and Improved LLMs Training. | Hao Xiong, Yebin Yang, Huaijin Wu, Xiaoqiu Zhong, Yehui Tang, Zhuo Xia, Xiaoxing Wang, Junchi Yan |
| 2025 | KDD | BiQAP: Neural Bi-level Optimization-based Framework for Solving Quadratic Assignment Problems. | Liangliang Shi, Haoran Zhang, Shuheng Shen, Changhua Meng, Weiqiang Wang, Junchi Yan |
| 2024 | AAAI | ViTree: Single-Path Neural Tree for Step-Wise Interpretable Fine-Grained Visual Categorization. | Danning Lao, Qi Liu, Jiazi Bu, Junchi Yan, Wei Shen |
| 2024 | AAAI | Double-Bounded Optimal Transport for Advanced Clustering and Classification. | Liangliang Shi, Zhaoqi Shen, Junchi Yan |
| 2024 | AAAI | Dynamic Reactive Spiking Graph Neural Network. | Han Zhao, Xu Yang, Cheng Deng, Junchi Yan |
| 2024 | AAAI | 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 |
| 2024 | ACL | Not All Experts are Equal: Efficient Expert Pruning and Skipping for Mixture-of-Experts Large Language Models. | Xudong Lu, Qi Liu, Yuhui Xu, Aojun Zhou, Siyuan Huang, Bo Zhang, Junchi Yan, Hongsheng Li |
| 2024 | ACL | CodeAttack: Revealing Safety Generalization Challenges of Large Language Models via Code Completion. | Qibing Ren, Chang Gao, Jing Shao, Junchi Yan, Xin Tan, Wai Lam, Lizhuang Ma |
| 2024 | CVPR | 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 |
| 2024 | CVPR | PointOBB: Learning Oriented Object Detection via Single Point Supervision. | Junwei Luo, Xue Yang, Yi Yu, Qingyun Li, Junchi Yan, Yansheng Li |
| 2024 | CVPR | Theoretically Achieving Continuous Representation of Oriented Bounding Boxes. | Zi-Kai Xiao, Guo-Ye Yang, Xue Yang, Tai-Jiang Mu, Junchi Yan, Shi-Min Hu |
| 2024 | CVPR | 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 |
| 2024 | CVPR | 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 |
| 2024 | CVPR | Grounding and Enhancing Grid-based Models for Neural Fields. | Zelin Zhao, Fenglei Fan, Wenlong Liao, Junchi Yan |
| 2024 | ECCV | Think2Drive: Efficient Reinforcement Learning by Thinking with Latent World Model for Autonomous Driving (in CARLA-V2). | Qifeng Li, Xiaosong Jia, Shaobo Wang, Junchi Yan |
| 2024 | ECCV | 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 |
| 2024 | EMNLP | PhiloGPT: A Philology-Oriented Large Language Model for Ancient Chinese Manuscripts with Dunhuang as Case Study. | Yuqing Zhang, Baoyi He, Yihan Chen, Hangqi Li, Han Yue, Shengyu Zhang, Huaiyong Dou, Junchi Yan, Zemin Liu, Yongquan Zhang, Fei Wu |
| 2024 | ICASSP | Alpharotate: A Rotation Detection Benchmark Using Tensorflow. | Xue Yang, Yue Zhou, Wenlong Liao, Tao He, Junchi Yan |
| 2024 | ICASSP | GMTR: Graph Matching Transformers. | Jinpei Guo, Shaofeng Zhang, Runzhong Wang, Chang Liu, Junchi Yan |
| 2024 | ICASSP | View Crafting For Instance-Level Representation from Scene Images. | Bin Liu, Yuchen Luo, Shaofeng Zhang, Zehuan Yuan, Changdong Xu, Boan Chen, Junchi Yan |
| 2024 | ICASSP | Efficient Architecture Search for Real-Time Instance Segmentation. | Renqiu Xia, Dongyuan Zhang, Yixin Dong, Juanping Zhao, Wenlong Liao, Tao He, Junchi Yan |
| 2024 | ICCAD | JigsawPlanner: Jigsaw-like Floorplanner for Eliminating Whitespace and Overlap among Complex Rectilinear Modules. | Xingbo Du, Ruizhe Zhong, Shixiong Kai, Zhentao Tang, Siyuan Xu, Jianye Hao, Mingxuan Yuan, Junchi Yan |
| 2024 | ICCAD | On Reducing the Execution Latency of Superconducting Quantum Processors via Quantum Job Scheduling. | Wenjie Wu, Yiquan Wang, Ge Yan, Yuming Zhao, Bo Zhang, Junchi Yan |
| 2024 | ICLR | Rethinking the symmetry-preserving circuits for constrained variational quantum algorithms. | Ge Yan, Hongxu Chen, Kaisen Pan, Junchi Yan |
| 2024 | ICLR | Node2ket: Efficient High-Dimensional Network Embedding in Quantum Hilbert Space. | Hao Xiong, Yehui Tang, Yunlin He, Wei Tan, Junchi Yan |
| 2024 | ICLR | Going Beyond Neural Network Feature Similarity: The Network Feature Complexity and Its Interpretation Using Category Theory. | Yiting Chen, Zhanpeng Zhou, Junchi Yan |
| 2024 | ICLR | 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 |
| 2024 | ICLR | MixSATGEN: Learning Graph Mixing for SAT Instance Generation. | Xinyan Chen, Yang Li, Runzhong Wang, Junchi Yan |
| 2024 | ICLR | LaneSegNet: Map Learning with Lane Segment Perception for Autonomous Driving. | Tianyu Li, Peijin Jia, Bangjun Wang, Li Chen, Kun Jiang, Junchi Yan, Hongyang Li |
| 2024 | ICLR | 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 |
| 2024 | ICLR | M3C: A Framework towards Convergent, Flexible, and Unsupervised Learning of Mixture Graph Matching and Clustering. | Jiaxin Lu, Zetian Jiang, Tianzhe Wang, Junchi Yan |
| 2024 | ICLR | 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 |
| 2024 | ICLR | Towards LLM4QPE: Unsupervised Pretraining of Quantum Property Estimation and A Benchmark. | Yehui Tang, Hao Xiong, Nianzu Yang, Tailong Xiao, Junchi Yan |
| 2024 | ICLR | EBMDock: Neural Probabilistic Protein-Protein Docking via a Differentiable Energy Model. | Huaijin Wu, Wei Liu, Yatao Bian, Jiaxiang Wu, Nianzu Yang, Junchi Yan |
| 2024 | ICLR | 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 |
| 2024 | ICLR | 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 |
| 2024 | ICML | Graph Out-of-Distribution Detection Goes Neighborhood Shaping. | Tianyi Bao, Qitian Wu, Zetian Jiang, Yiting Chen, Jiawei Sun, Junchi Yan |
| 2024 | ICML | 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 |
| 2024 | ICML | OT-CLIP: Understanding and Generalizing CLIP via Optimal Transport. | Liangliang Shi, Jack Fan, Junchi Yan |
| 2024 | ICML | SSL4Q: Semi-Supervised Learning of Quantum Data with Application to Quantum State Classification. | Yehui Tang, Nianzu Yang, Mabiao Long, Junchi Yan |
| 2024 | ICML | Learning Divergence Fields for Shift-Robust Graph Representations. | Qitian Wu, Fan Nie, Chenxiao Yang, Junchi Yan |
| 2024 | ICML | How Graph Neural Networks Learn: Lessons from Training Dynamics. | Chenxiao Yang, Qitian Wu, David Wipf, Ruoyu Sun, Junchi Yan |
| 2024 | ICML | 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 |
| 2024 | ICML | MILP-FBGen: LP/MILP Instance Generation with Feasibility/Boundedness. | Yahong Zhang, Chenchen Fan, Donghui Chen, Congrui Li, Wenli Ouyang, Mingda Zhu, Junchi Yan |
| 2024 | ICML | 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 |
| 2024 | ICML | On the Emergence of Cross-Task Linearity in Pretraining-Finetuning Paradigm. | Zhanpeng Zhou, Zijun Chen, Yilan Chen, Bo Zhang, Junchi Yan |
| 2024 | KDD | Certified Robustness on Visual Graph Matching via Searching Optimal Smoothing Range. | Huaqing Shao, Lanjun Wang, Yongwei Wang, Qibing Ren, Junchi Yan |
| 2024 | KDD | GeoMix: Towards Geometry-Aware Data Augmentation. | Wentao Zhao, Qitian Wu, Chenxiao Yang, Junchi Yan |
| 2024 | WWW | Graph Out-of-Distribution Generalization via Causal Intervention. | Qitian Wu, Fan Nie, Chenxiao Yang, Tianyi Bao, Junchi Yan |
| 2024 | WWW | Rethinking Cross-Domain Sequential Recommendation under Open-World Assumptions. | Wujiang Xu, Qitian Wu, Runzhong Wang, Mingming Ha, Qiongxu Ma, Linxun Chen, Bing Han, Junchi Yan |
| 2023 | AAAI | C-NTPP: Learning Cluster-Aware Neural Temporal Point Process. | Fangyu Ding, Junchi Yan, Haiyang Wang |
| 2023 | APWEB | HSA: Hyperbolic Self-attention for Sequential Recommendation. | Peizhong Hou, Haiyang Wang, Tianming Li, Junchi Yan |
| 2023 | CVPR | 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 |
| 2023 | CVPR | Deep Learning of Partial Graph Matching via Differentiable Top-K. | Runzhong Wang, Ziao Guo, Shaofei Jiang, Xiaokang Yang, Junchi Yan |
| 2023 | CVPR | Active Finetuning: Exploiting Annotation Budget in the Pretraining-Finetuning Paradigm. | Yichen Xie, Han Lu, Junchi Yan, Xiaokang Yang, Masayoshi Tomizuka, Wei Zhan |
| 2023 | CVPR | Distilling Focal Knowledge from Imperfect Expert for 3D Object Detection. | Jia Zeng, Li Chen, Hanming Deng, Lewei Lu, Junchi Yan, Yu Qiao, Hongyang Li |
| 2023 | ICANN | Adaptive Embedding and Distribution Re-margin for Long-Tail Recognition. | Yulin Su, Boan Chen, Ziming Feng, Junchi Yan |
| 2023 | ICASSP | Ternary Weight Networks. | Bin Liu, Fengfu Li, Xiaoxing Wang, Bo Zhang, Junchi Yan |
| 2023 | ICASSP | MHSCNET: A Multimodal Hierarchical Shot-Aware Convolutional Network for Video Summarization. | Wujiang Xu, Runzhong Wang, Xiaobo Guo, Shaoshuai Li, Qiongxu Ma, Yunan Zhao, Sheng Guo, Zhenfeng Zhu, Junchi Yan |
| 2023 | ICCAD | EasyMap: Improving Technology Mapping via Exploration-Enhanced Heuristics and Adaptive Sequencing. | Peiyu Wang, Anqi Lu, Xing Li, Junjie Ye, Lei Chen, Mingxuan Yuan, Jianye Hao, Junchi Yan |
| 2023 | ICCAD | EasySO: Exploration-enhanced Reinforcement Learning for Logic Synthesis Sequence Optimization and a Comprehensive RL Environment. | Jianyong Yuan, Peiyu Wang, Junjie Ye, Mingxuan Yuan, Jianye Hao, Junchi Yan |
| 2023 | ICCV | 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 |
| 2023 | ICCV | 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 |
| 2023 | ICDE | Discovering Temporal Patterns for Event Sequence Clustering via Policy Mixture Model (Extended Abstract). | Weichang Wu, Junchi Yan, Xiaokang Yang, Hongyuan Zha |
| 2023 | ICIP | Adaptive Semi-Supervised Mixup with Implicit Label Learning and Sample Ratio Balancing. | Yulin Su, Liangliang Shi, Ziming Feng, Pengzhi Chu, Junchi Yan |
| 2023 | ICLR | The KFIoU Loss for Rotated Object Detection. | Xue Yang, Yue Zhou, Gefan Zhang, Jirui Yang, Wentao Wang, Junchi Yan, Xiaopeng Zhang, Qi Tian |
| 2023 | ICLR | H2RBox: Horizontal Box Annotation is All You Need for Oriented Object Detection. | Xue Yang, Gefan Zhang, Wentong Li, Yue Zhou, Xuehui Wang, Junchi Yan |
| 2023 | ICLR | 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 |
| 2023 | ICLR | Revocable Deep Reinforcement Learning with Affinity Regularization for Outlier-Robust Graph Matching. | Chang Liu, Zetian Jiang, Runzhong Wang, Lingxiao Huang, Pinyan Lu, Junchi Yan |
| 2023 | ICLR | 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 |
| 2023 | ICLR | 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 |
| 2023 | ICLR | Policy Pre-training for Autonomous Driving via Self-supervised Geometric Modeling. | Penghao Wu, Li Chen, Hongyang Li, Xiaosong Jia, Junchi Yan, Yu Qiao |
| 2023 | ICLR | Energy-based Out-of-Distribution Detection for Graph Neural Networks. | Qitian Wu, Yiting Chen, Chenxiao Yang, Junchi Yan |
| 2023 | ICLR | DIFFormer: Scalable (Graph) Transformers Induced by Energy Constrained Diffusion. | Qitian Wu, Chenxiao Yang, Wentao Zhao, Yixuan He, David Wipf, Junchi Yan |
| 2023 | ICLR | Graph Neural Networks are Inherently Good Generalizers: Insights by Bridging GNNs and MLPs. | Chenxiao Yang, Qitian Wu, Jiahua Wang, Junchi Yan |
| 2023 | ICLR | Contextual Image Masking Modeling via Synergized Contrasting without View Augmentation for Faster and Better Visual Pretraining. | Shaofeng Zhang, Feng Zhu, Rui Zhao, Junchi Yan |
| 2023 | ICLR | Patch-Level Contrasting without Patch Correspondence for Accurate and Dense Contrastive Representation Learning. | Shaofeng Zhang, Feng Zhu, Rui Zhao, Junchi Yan |
| 2023 | ICLR | Crossformer: Transformer Utilizing Cross-Dimension Dependency for Multivariate Time Series Forecasting. | Yunhao Zhang, Junchi Yan |
| 2023 | ICML | QAS-Bench: Rethinking Quantum Architecture Search and A Benchmark. | Xudong Lu, Kaisen Pan, Ge Yan, Jiaming Shan, Wenjie Wu, Junchi Yan |
| 2023 | ICML | Understanding and Generalizing Contrastive Learning from the Inverse Optimal Transport Perspective. | Liangliang Shi, Gu Zhang, Haoyu Zhen, Jintao Fan, Junchi Yan |
| 2023 | ICML | LinSATNet: The Positive Linear Satisfiability Neural Networks. | Runzhong Wang, Yunhao Zhang, Ziao Guo, Tianyi Chen, Xiaokang Yang, Junchi Yan |
| 2023 | ICML | QuantumDARTS: Differentiable Quantum Architecture Search for Variational Quantum Algorithms. | Wenjie Wu, Ge Yan, Xudong Lu, Kaisen Pan, Junchi Yan |
| 2023 | ICML | Quantum 3D Graph Learning with Applications to Molecule Embedding. | Ge Yan, Huaijin Wu, Junchi Yan |
| 2023 | ICML | Towards Quantum Machine Learning for Constrained Combinatorial Optimization: a Quantum QAP Solver. | Xinyu Ye, Ge Yan, Junchi Yan |
| 2023 | ICML | Patch-level Contrastive Learning via Positional Query for Visual Pre-training. | Shaofeng Zhang, Qiang Zhou, Zhibin Wang, Fan Wang, Junchi Yan |
| 2023 | IJCAI | IID-GAN: an IID Sampling Perspective for Regularizing Mode Collapse. | Yang Li, Liangliang Shi, Junchi Yan |
| 2023 | IJCAI | Learning Calibrated Uncertainties for Domain Shift: A Distributionally Robust Learning Approach. | Haoxuan Wang, Zhiding Yu, Yisong Yue, Animashree Anandkumar, Anqi Liu, Junchi Yan |
| 2023 | IJCAI | Transformers in Time Series: A Survey. | Qingsong Wen, Tian Zhou, Chaoli Zhang, Weiqi Chen, Ziqing Ma, Junchi Yan, Liang Sun |
| 2023 | KDD | Towards Variance Reduction for Reinforcement Learning of Industrial Decision-making Tasks: A Bi-Critic based Demand-Constraint Decoupling Approach. | Jianyong Yuan, Jiayi Zhang, Zinuo Cai, Junchi Yan |
| 2023 | KDD | Pyramid Graph Neural Network: A Graph Sampling and Filtering Approach for Multi-scale Disentangled Representations. | Haoyu Geng, Chao Chen, Yixuan He, Gang Zeng, Zhaobing Han, Hua Chai, Junchi Yan |
| 2023 | KDD | GAL-VNE: Solving the VNE Problem with Global Reinforcement Learning and Local One-Shot Neural Prediction. | Haoyu Geng, Runzhong Wang, Fei Wu, Junchi Yan |
| 2023 | KDD | HardSATGEN: Understanding the Difficulty of Hard SAT Formula Generation and A Strong Structure-Hardness-Aware Baseline. | Yang Li, Xinyan Chen, Wenxuan Guo, Xijun Li, Wanqian Luo, Junhua Huang, Hui-Ling Zhen, Mingxuan Yuan, Junchi Yan |
| 2023 | KDD | Robustness Certification for Structured Prediction with General Inputs via Safe Region Modeling in the Semimetric Output Space. | Huaqing Shao, Lanjun Wang, Junchi Yan |
| 2023 | KDD | VQNE: Variational Quantum Network Embedding with Application to Network Alignment. | Xinyu Ye, Ge Yan, Junchi Yan |
| 2023 | KDD | GraphGLOW: Universal and Generalizable Structure Learning for Graph Neural Networks. | Wentao Zhao, Qitian Wu, Chenxiao Yang, Junchi Yan |
| 2023 | WWW | MoleRec: Combinatorial Drug Recommendation with Substructure-Aware Molecular Representation Learning. | Nianzu Yang, Kaipeng Zeng, Qitian Wu, Junchi Yan |
| 2022 | AAAI | Input-Specific Robustness Certification for Randomized Smoothing. | Ruoxin Chen, Jie Li, Junchi Yan, Ping Li, Bin Sheng |
| 2022 | CoRL | 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 |
| 2022 | CVPR | Optimal LED Spectral Multiplexing for NIR2RGB Translation. | Lei Liu, Yuze Chen, Junchi Yan, Yinqiang Zheng |
| 2022 | CVPR | Appearance and Structure Aware Robust Deep Visual Graph Matching: Attack, Defense and Beyond. | Qibing Ren, Qingquan Bao, Runzhong Wang, Junchi Yan |
| 2022 | CVPR | 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 |
| 2022 | CVPR | 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 |
| 2022 | ECCV | 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 |
| 2022 | ECCV | 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 |
| 2022 | ECCV | Learning Unbiased Transferability for Domain Adaptation by Uncertainty Modeling. | Jian Hu, Haowen Zhong, Fei Yang, Shaogang Gong, Guile Wu, Junchi Yan |
| 2022 | ECCV | Self-supervised Learning of Visual Graph Matching. | Chang Liu, Shaofeng Zhang, Xiaokang Yang, Junchi Yan |
| 2022 | ECCV | StyleFace: Towards Identity-Disentangled Face Generation on Megapixels. | Yuchen Luo, Junwei Zhu, Keke He, Wenqing Chu, Ying Tai, Chengjie Wang, Junchi Yan |
| 2022 | ECCV | EAutoDet: Efficient Architecture Search for Object Detection. | Xiaoxing Wang, Jiale Lin, Juanping Zhao, Xiaokang Yang, Junchi Yan |
| 2022 | ECCV | A Max-Flow Based Approach for Neural Architecture Search. | Chao Xue, Xiaoxing Wang, Junchi Yan, Chun-Guang Li |
| 2022 | ICLR | Explaining Point Processes by Learning Interpretable Temporal Logic Rules. | Shuang Li, Mingquan Feng, Lu Wang, Abdelmajid Essofi, Yufeng Cao, Junchi Yan, Le Song |
| 2022 | ICLR | Handling Distribution Shifts on Graphs: An Invariance Perspective. | Qitian Wu, Hengrui Zhang, Junchi Yan, David Wipf |
| 2022 | ICLR | Nonlinear ICA Using Volume-Preserving Transformations. | Xiaojiang Yang, Yi Wang, Jiacheng Sun, Xing Zhang, Shifeng Zhang, Zhenguo Li, Junchi Yan |
| 2022 | ICLR | Zero-CL: Instance and Feature decorrelation for negative-free symmetric contrastive learning. | Shaofeng Zhang, Feng Zhu, Junchi Yan, Rui Zhao, Xiaokang Yang |
| 2022 | ICML | On Collective Robustness of Bagging Against Data Poisoning. | Ruoxin Chen, Zenan Li, Jie Li, Junchi Yan, Chentao Wu |
| 2022 | ICML | 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 |
| 2022 | ICML | 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 |
| 2022 | IJCAI | Learning Mixture of Neural Temporal Point Processes for Multi-dimensional Event Sequence Clustering. | Yunhao Zhang, Junchi Yan, Xiaolu Zhang, Jun Zhou, Xiaokang Yang |
| 2022 | KDD | Variational Inference for Training Graph Neural Networks in Low-Data Regime through Joint Structure-Label Estimation. | Danning Lao, Xinyu Yang, Qitian Wu, Junchi Yan |
| 2022 | KDD | DICE: Domain-attack Invariant Causal Learning for Improved Data Privacy Protection and Adversarial Robustness. | Qibing Ren, Yiting Chen, Yichuan Mo, Qitian Wu, Junchi Yan |
| 2022 | KDD | Towards a Native Quantum Paradigm for Graph Representation Learning: A Sampling-based Recurrent Embedding Approach. | Ge Yan, Yehui Tang, Junchi Yan |
| 2022 | KDD | M-Mix: Generating Hard Negatives via Multi-sample Mixing for Contrastive Learning. | Shaofeng Zhang, Meng Liu, Junchi Yan, Hengrui Zhang, Lingxiao Huang, Xiaokang Yang, Pinyan Lu |
| 2022 | PRICAI | Conditional Variational Inference for Multi-modal Trajectory Prediction with Latent Diffusion Prior. | Lyn Qiu, Xu Li, Mingming Sun, Junchi Yan |
| 2021 | AAAI | Scalable and Explainable 1-Bit Matrix Completion via Graph Signal Learning. | Chao Chen, Dongsheng Li, Junchi Yan, Hanchi Huang, Xiaokang Yang |
| 2021 | AAAI | Learning Local Neighboring Structure for Robust 3D Shape Representation. | Zhongpai Gao, Junchi Yan, Guangtao Zhai, Juyong Zhang, Yiyan Yang, Xiaokang Yang |
| 2021 | AAAI | 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 |
| 2021 | AAAI | Learning Modulated Loss for Rotated Object Detection. | Wen Qian, Xue Yang, Silong Peng, Junchi Yan, Yue Guo |
| 2021 | AAAI | 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 |
| 2021 | AAAI | Rethinking Bi-Level Optimization in Neural Architecture Search: A Gibbs Sampling Perspective. | Chao Xue, Xiaoxing Wang, Junchi Yan, Yonggang Hu, Xiaokang Yang, Kewei Sun |
| 2021 | AAAI | R3Det: Refined Single-Stage Detector with Feature Refinement for Rotating Object. | Xue Yang, Junchi Yan, Ziming Feng, Tao He |
| 2021 | ACL | UniRE: A Unified Label Space for Entity Relation Extraction. | Yijun Wang, Changzhi Sun, Yuanbin Wu, Hao Zhou, Lei Li, Junchi Yan |
| 2021 | CIKM | Learning Dual Dynamic Representations on Time-Sliced User-Item Interaction Graphs for Sequential Recommendation. | Zeyuan Chen, Wei Zhang, Junchi Yan, Gang Wang, Jianyong Wang |
| 2021 | CVPR | Dense Label Encoding for Boundary Discontinuity Free Rotation Detection. | Xue Yang, Liping Hou, Yue Zhou, Wentao Wang, Junchi Yan |
| 2021 | CVPR | SelfSAGCN: Self-Supervised Semantic Alignment for Graph Convolution Network. | Xu Yang, Cheng Deng, Zhiyuan Dang, Kun Wei, Junchi Yan |
| 2021 | CVPR | Generalizing Face Forgery Detection With High-Frequency Features. | Yuchen Luo, Yong Zhang, Junchi Yan, Wei Liu |
| 2021 | CVPR | Tuning IR-Cut Filter for Illumination-Aware Spectral Reconstruction From RGB. | Bo Sun, Junchi Yan, Xiao Zhou, Yinqiang Zheng |
| 2021 | CVPR | Combinatorial Learning of Graph Edit Distance via Dynamic Embedding. | Runzhong Wang, Tianqi Zhang, Tianshu Yu, Junchi Yan, Xiaokang Yang |
| 2021 | EACL | ENPAR: Enhancing Entity and Entity Pair Representations for Joint Entity Relation Extraction. | Yijun Wang, Changzhi Sun, Yuanbin Wu, Hao Zhou, Lei Li, Junchi Yan |
| 2021 | ICIG | Monocular Visual Analysis for Electronic Line Calling of Tennis Games. | Yuanzhou Chen, Shaobo Cai, Yuxin Wang, Junchi Yan |
| 2021 | ICLR | DARTS-: Robustly Stepping out of Performance Collapse Without Indicators. | Xiangxiang Chu, Xiaoxing Wang, Bo Zhang, Shun Lu, Xiaolin Wei, Junchi Yan |
| 2021 | ICML | Rethinking Rotated Object Detection with Gaussian Wasserstein Distance Loss. | Xue Yang, Junchi Yan, Qi Ming, Wentao Wang, Xiaopeng Zhang, Qi Tian |
| 2021 | ICML | 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 |
| 2021 | ICML | Towards Open-World Recommendation: An Inductive Model-based Collaborative Filtering Approach. | Qitian Wu, Hengrui Zhang, Xiaofeng Gao, Junchi Yan, Hongyuan Zha |
| 2021 | ICML | Deep Latent Graph Matching. | Tianshu Yu, Runzhong Wang, Junchi Yan, Baoxin Li |
| 2021 | IJCAI | Learning Spectral Dictionary for Local Representation of Mesh. | Zhongpai Gao, Junchi Yan, Guangtao Zhai, Xiaokang Yang |
| 2021 | IJCAI | Neural Relation Inference for Multi-dimensional Temporal Point Processes via Message Passing Graph. | Yunhao Zhang, Junchi Yan |
| 2021 | IROS | Dynamic Modeling of Hand-Object Interactions via Tactile Sensing. | Qiang Zhang, Yunzhu Li, Yiyue Luo, Wan Shou, Michael Foshey, Junchi Yan, Joshua B. Tenenbaum, Wojciech Matusik, Antonio Torralba |
| 2021 | KDD | HMRL: Hyper-Meta Learning for Sparse Reward Reinforcement Learning Problem. | Yun Hua, Xiangfeng Wang, Bo Jin, Wenhao Li, Junchi Yan, Xiaofeng He, Hongyuan Zha |
| 2021 | KDD | Contrastive Multi-View Multiplex Network Embedding with Applications to Robust Network Alignment. | Hao Xiong, Junchi Yan, Li Pan |
| 2020 | AAAI | Multiple Graph Matching and Clustering via Decayed Pairwise Matching Composition. | Tianzhe Wang, Zetian Jiang, Junchi Yan |
| 2020 | ACCV | Lightweight Single-Image Super-Resolution Network with Attentive Auxiliary Feature Learning. | Xuehui Wang, Qing Wang, Yuzhi Zhao, Junchi Yan, Lei Fan, Long Chen |
| 2020 | CVPR | Towards Transferable Targeted Attack. | Maosen Li, Cheng Deng, Tengjiao Li, Junchi Yan, Xinbo Gao, Heng Huang |
| 2020 | CVPR | Learning Unseen Concepts via Hierarchical Decomposition and Composition. | Muli Yang, Cheng Deng, Junchi Yan, Xianglong Liu, Dacheng Tao |
| 2020 | CVPR | Determinant Regularization for Gradient-Efficient Graph Matching. | Tianshu Yu, Junchi Yan, Baoxin Li |
| 2020 | ECCV | Arbitrary-Oriented Object Detection with Circular Smooth Label. | Xue Yang, Junchi Yan |
| 2020 | ECCV | Layered Neighborhood Expansion for Incremental Multiple Graph Matching. | Zixuan Chen, Zhihui Xie, Junchi Yan, Yinqiang Zheng, Xiaokang Yang |
| 2020 | ECCV | Discriminative Partial Domain Adversarial Network. | Jian Hu, Hongya Tuo, Chao Wang, Lingfeng Qiao, Haowen Zhong, Junchi Yan, Zhongliang Jing, Henry Leung |
| 2020 | ECCV | Rethinking the Defocus Blur Detection Problem and a Real-Time Deep DBD Model. | Ning Zhang, Junchi Yan |
| 2020 | ECCV | AutoMix: Mixup Networks for Sample Interpolation via Cooperative Barycenter Learning. | Jianchao Zhu, Liangliang Shi, Junchi Yan, Hongyuan Zha |
| 2020 | EMNLP | Pre-training Entity Relation Encoder with Intra-span and Inter-span Information. | Yijun Wang, Changzhi Sun, Yuanbin Wu, Junchi Yan, Peng Gao, Guotong Xie |
| 2020 | ICLR | Learning deep graph matching with channel-independent embedding and Hungarian attention. | Tianshu Yu, Runzhong Wang, Junchi Yan, Baoxin Li |
| 2020 | ICPR | GFTE: Graph-Based Financial Table Extraction. | Yiren Li, Zheng Huang, Junchi Yan, Yi Zhou, Fan Ye, Xianhui Liu |
| 2020 | IJCAI | MergeNAS: Merge Operations into One for Differentiable Architecture Search. | Xiaoxing Wang, Chao Xue, Junchi Yan, Xiaokang Yang, Yonggang Hu, Kewei Sun |
| 2020 | IJCAI | Learning for Graph Matching and Related Combinatorial Optimization Problems. | Junchi Yan, Shuang Yang, Edwin R. Hancock |
| 2020 | ICPR | Heterogeneous Graph-based Knowledge Transfer for Generalized Zero-shot Learning. | Junjie Wang, Xiangfeng Wang, Bo Jin, Junchi Yan, Wenjie Zhang, Hongyuan Zha |
| 2020 | ICPR | Automatic Student Network Search for Knowledge Distillation. | Zhexi Zhang, Wei Zhu, Junchi Yan, Peng Gao, Guotong Xie |
| 2019 | CIKM | Synergizing Local and Global Models for Matrix Approximation. | Chao Chen, Hao Zhang, Dongsheng Li, Junchi Yan, Xiaokang Yang |
| 2019 | CVPR | Transferable AutoML by Model Sharing Over Grouped Datasets. | Chao Xue, Junchi Yan, Rong Yan, Stephen M. Chu, Yonggang Hu, Yonghua Lin |
| 2019 | CVPR | Deep Spectral Clustering Using Dual Autoencoder Network. | Xu Yang, Cheng Deng, Feng Zheng, Junchi Yan, Wei Liu |
| 2019 | ICCV | Asymmetric Cross-Guided Attention Network for Actor and Action Video Segmentation From Natural Language Query. | Hao Wang, Cheng Deng, Junchi Yan, Dacheng Tao |
| 2019 | ICCV | Learning Combinatorial Embedding Networks for Deep Graph Matching. | Runzhong Wang, Junchi Yan, Xiaokang Yang |
| 2019 | ICCV | SCRDet: Towards More Robust Detection for Small, Cluttered and Rotated Objects. | Xue Yang, Jirui Yang, Junchi Yan, Yue Zhang, Tengfei Zhang, Zhi Guo, Xian Sun, Kun Fu |
| 2019 | IJCAI | Joint Link Prediction and Network Alignment via Cross-graph Embedding. | Xingbo Du, Junchi Yan, Hongyuan Zha |
| 2019 | IJCAI | Learning Interpretable Deep State Space Model for Probabilistic Time Series Forecasting. | Longyuan Li, Junchi Yan, Xiaokang Yang, Yaohui Jin |
| 2019 | IJCAI | Graph Convolutional Network Hashing for Cross-Modal Retrieval. | Ruiqing Xu, Chao Li, Junchi Yan, Cheng Deng, Xianglong Liu |
| 2019 | IJCAI | TransMS: Knowledge Graph Embedding for Complex Relations by Multidirectional Semantics. | Shihui Yang, Jidong Tian, Honglun Zhang, Junchi Yan, Hao He, Yaohui Jin |
| 2019 | KDD | Modeling and Applications for Temporal Point Processes. | Junchi Yan, Hongteng Xu, Liangda Li |
| 2019 | PRICAI | Differential Privacy with Variant-Noise for Gaussian Processes Classification. | Zhili Xiong, Longyuan Li, Junchi Yan, Haiyang Wang, Hao He, Yaohui Jin |
| 2019 | SDM | Fast Unsupervised Location Category Inference from Highly Inaccurate Mobility Data. | Jinfeng Yi, Qi Lei, Wesley M. Gifford, Ji Liu, Junchi Yan, Bowen Zhou |
| 2018 | AAAI | Learning Conditional Generative Models for Temporal Point Processes. | Shuai Xiao, Hongteng Xu, Junchi Yan, Mehrdad Farajtabar, Xiaokang Yang, Le Song, Hongyuan Zha |
| 2018 | AAAI | Tau-FPL: Tolerance-Constrained Learning in Linear Time. | Ao Zhang, Nan Li, Jian Pu, Jun Wang, Junchi Yan, Hongyuan Zha |
| 2018 | CVPR | Joint Cuts and Matching of Partitions in One Graph. | Tianshu Yu, Junchi Yan, Jieyi Zhao, Baoxin Li |
| 2018 | ECCV | Incremental Multi-graph Matching via Diversity and Randomness Based Graph Clustering. | Tianshu Yu, Junchi Yan, Wei Liu, Baoxin Li |
| 2018 | IJCAI | Collaborative and Attentive Learning for Personalized Image Aesthetic Assessment. | Guolong Wang, Junchi Yan, Zheng Qin |
| 2018 | IJCAI | Learning Sequential Correlation for User Generated Textual Content Popularity Prediction. | Wen Wang, Wei Zhang, Jun Wang, Junchi Yan, Hongyuan Zha |
| 2018 | IJCAI | Improving Maximum Likelihood Estimation of Temporal Point Process via Discriminative and Adversarial Learning. | Junchi Yan, Xin Liu, Liangliang Shi, Changsheng Li, Hongyuan Zha |
| 2018 | IJCAI | Weakly Supervised Audio Source Separation via Spectrum Energy Preserved Wasserstein Learning. | Ning Zhang, Junchi Yan, Yuchen Zhou |
| 2018 | KDD | Decoupled Learning for Factorial Marked Temporal Point Processes. | Weichang Wu, Junchi Yan, Xiaokang Yang, Hongyuan Zha |
| 2017 | AAAI | 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 |
| 2017 | AAAI | On Predictive Patent Valuation: Forecasting Patent Citations and Their Types. | Xin Liu, Junchi Yan, Shuai Xiao, Xiangfeng Wang, Hongyuan Zha, Stephen M. Chu |
| 2017 | AAAI | Self-Paced Multi-Task Learning. | Changsheng Li, Junchi Yan, Fan Wei, Weishan Dong, Qingshan Liu, Hongyuan Zha |
| 2017 | AAAI | Unsupervised Deep Learning for Optical Flow Estimation. | Zhe Ren, Junchi Yan, Bingbing Ni, Bin Liu, Xiaokang Yang, Hongyuan Zha |
| 2017 | AAAI | Modeling the Intensity Function of Point Process Via Recurrent Neural Networks. | Shuai Xiao, Junchi Yan, Xiaokang Yang, Hongyuan Zha, Stephen M. Chu |
| 2017 | ACL | Transductive Non-linear Learning for Chinese Hypernym Prediction. | Chengyu Wang, Junchi Yan, Aoying Zhou, Xiaofeng He |
| 2017 | CVPR | Fractal Dimension Invariant Filtering and Its CNN-Based Implementation. | Hongteng Xu, Junchi Yan, Nils Persson, Weiyao Lin, Hongyuan Zha |
| 2017 | ICWS | Hybrid Measurement of Air Quality as a Mobile Service: An Image Based Approach. | Chao Zhang, Baoxian Liu, Junchi Yan, Jinghai Yan, Lingjun Li, Dawei Zhang, Xiaoguang Rui, Rongfang Bie |
| 2017 | ICWS | Early Air Pollution Forecasting as a Service: An Ensemble Learning Approach. | Chao Zhang, Junchi Yan, Yunting Li, Feng Sun, Jinghai Yan, Dawei Zhang, Xiaoguang Rui, Rongfang Bie |
| 2017 | SIGIR | Personalized Key Frame Recommendation. | Xu Chen, Yongfeng Zhang, Qingyao Ai, Hongteng Xu, Junchi Yan, Zheng Qin |
| 2016 | AAAI | Spatially Regularized Streaming Sensor Selection. | Changsheng Li, Fan Wei, Weishan Dong, Xiangfeng Wang, Junchi Yan, Xiaobin Zhu, Qingshan Liu, Xin Zhang |
| 2016 | ICML | Low-Rank Matrix Approximation with Stability. | Dongsheng Li, Chao Chen, Qin Lv, Junchi Yan, Li Shang, Stephen M. Chu |
| 2016 | IJCAI | MPMA: Mixture Probabilistic Matrix Approximation for Collaborative Filtering. | Chao Chen, Dongsheng Li, Qin Lv, Junchi Yan, Stephen M. Chu, Li Shang |
| 2016 | IJCAI | 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 |
| 2016 | IJCAI | 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 |
| 2016 | ICPR | A constrained clustering based approach for matching a collection of feature sets. | Junchi Yan, Zhe Ren, Hongyuan Zha, Stephen M. Chu |
| 2015 | AAAI | Multi-View Point Registration via Alternating Optimization. | Junchi Yan, Jun Wang, Hongyuan Zha, Xiaokang Yang, Stephen M. Chu |
| 2015 | AAAI | 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 |
| 2015 | CVPR | Discrete hyper-graph matching. | Junchi Yan, Chao Zhang, Hongyuan Zha, Wei Liu, Xiaokang Yang, Stephen M. Chu |
| 2015 | ICCV | Person Re-Identification with Correspondence Structure Learning. | Yang Shen, Weiyao Lin, Junchi Yan, Mingliang Xu, Jianxin Wu, Jingdong Wang |
| 2015 | ICCV | A Matrix Decomposition Perspective to Multiple Graph Matching. | Junchi Yan, Hongteng Xu, Hongyuan Zha, Xiaokang Yang, Huanxi Liu, Stephen M. Chu |
| 2015 | IM | Sales pipeline win propensity prediction: A regression approach. | Junchi Yan, Min Gong, Changhua Sun, Jin Huang, Stephen M. Chu |
| 2014 | CIKM | Maximizing Multi-scale Spatial Statistical Discrepancy. | Weishan Dong, Renjie Yao, Chunyang Ma, Changsheng Li, Lei Shi, Lu Wang, Yu Wang, Peng Gao, Junchi Yan |
| 2014 | ECCV | Graduated Consistency-Regularized Optimization for Multi-graph Matching. | Junchi Yan, Yin Li, Wei Liu, Hongyuan Zha, Xiaokang Yang, Stephen Mingyu Chu |
| 2014 | ICPR | Sufficient Statistics Feature Mapping over Deep Boltzmann Machine for Detection. | Chao Zhang, Xiong Li, Junchi Yan, Stephen Qui, Yu Wang, Chunhua Tian, Yuming Zhao |
| 2013 | ICCV | Joint Optimization for Consistent Multiple Graph Matching. | Junchi Yan, Yu Tian, Hongyuan Zha, Xiaokang Yang, Ya Zhang, Stephen M. Chu |
| 2013 | IJCAI | Towards Effective Prioritizing Water Pipe Replacement and Rehabilitation. | Junchi Yan, Yu Wang, Ke Zhou, Jin Huang, Chunhua Tian, Hongyuan Zha, Weishan Dong |
| 2012 | ECCV | On the Convergence of Graph Matching: Graduated Assignment Revisited. | Yu Tian, Junchi Yan, Hequan Zhang, Ya Zhang, Xiaokang Yang, Hongyuan Zha |
| 2011 | ICIG | A Double-Layer Model for Foreground Detection from Video Sequence. | Huanxi Liu, Junchi Yan, Jun Zhu, Xiaowei Lv, Xiong Li, Tianhong Zhu, Yuncai Liu |
| 2011 | ICIG | Sparse Feature Learning for Visual Tracking by Least Absolute Shrinkage and Selection Operator. | Minglei Tong, Junchi Yan, Huanxi Liu, Hong Han |
| 2011 | VCIP | Weighted sparse coding residual minimization for visual tracking. | Junchi Yan, Minglei Tong |
| 2010 | ECCV | Optimum Subspace Learning and Error Correction for Tensors. | Yin Li, Junchi Yan, Yue Zhou, Jie Yang |
| 2010 | ICASSP | A Bayesian framework for 3D human motion tracking from monocular image. | Jian Liu, Junchi Yan, Minglei Tong, Yuncai Liu |
| 2010 | ICIP | Tensor error correction for corrupted values in visual data. | Yin Li, Yue Zhou, Junchi Yan, Jie Yang, Xiangjian He |
| 2010 | ICIP | Visual saliency detection via rank-sparsity decomposition. | Junchi Yan, Jian Liu, Yin Li, Zhibin Niu, Yuncai Liu |
| 2010 | ICIP | Model-based 3D human motion tracking and voxel reconstruction from sparse views. | Junchi Yan, Jian Song, Liwei Wang, Yuncai Liu |
| 2009 | ACCV | Visual Saliency Based on Conditional Entropy. | Yin Li, Yue Zhou, Junchi Yan, Zhibin Niu, Jie Yang |
| 2009 | ACCV | An Accelerated Human Motion Tracking System Based on Voxel Reconstruction under Complex Environments. | Junchi Yan, Yin Li, EnLiang Zheng, Yuncai Liu |
| 2009 | ICIG | Markless Human Motion Capture by Voxel Labeling. | Junchi Yan, Jian Liu, Yuncai Liu |
| 2009 | ICIG | Improving Semantic Scene Categorization by Exploiting Audio-Visual Features. | Songhao Zhu, Junchi Yan, Yuncai Liu |