Junchi Yan - RankMe

738 papers A* 255A 16B 13C 1Misc 16Journal 382Unranked 54

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	ACE-Brain-0: Spatial Intelligence as a Shared Scaffold for Universal Embodiments. CoRR Ziyang Gong, Zehang Luo, Anke Tang, Zhe Liu, Shi Fu, Zhi Hou, Ganlin Yang, Weiyun Wang, Xiaofeng Wang, Jianbo Liu, Gen Luo, Haolan Kang, Shuang Luo, Yue Zhou, Yong Luo, Li Shen, Xiaosong Jia, Yao Mu, Xue Yang, Chunxiao Liu, Junchi Yan, Hengshuang Zhao, Dacheng Tao, Xiaogang Wang
2026	J	`jnl`	Can Users Specify Driving Speed? Bench2Drive-Speed: Benchmark and Baselines for Desired-Speed Conditioned Autonomous Driving. CoRR Yuqian Shao, Xiaosong Jia, Patrick Langechuan Liu, Junchi Yan
2026	J	`jnl`	Class-Aware Diversified Augmentation for Open-Set Single Domain Generalization. IEEE Trans. Multim. Jian Hu, Shaogang Gong, Weitong Cai, Junchi Yan
2026	J	`jnl`	CrossEarth-SAR: A SAR-Centric and Billion-Scale Geospatial Foundation Model for Domain Generalizable Semantic Segmentation. CoRR Ziqi Ye, Ziyang Gong, Ning Liao, Xiaoxing Hu, Di Wang, Hongruixuan Chen, Chen Huang, Yiguo He, Yuru Jia, Xiaoxing Wang, Haipeng Wang, Xue Yang, Junchi Yan
2026	J	`jnl`	CrossEarth: Geospatial Vision Foundation Model for Domain Generalizable Remote Sensing Semantic Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. Ziyang Gong, Zhixiang Wei, Di Wang, Xiaoxing Hu, Xianzheng Ma, Hongruixuan Chen, Yuru Jia, Yupeng Deng, Zhenming Ji, Xiangwei Zhu, Xue Yang, Naoto Yokoya, Jing Zhang, Bo Du, Junchi Yan, Liangpei Zhang
2026	J	`jnl`	DriveMamba: Task-Centric Scalable State Space Model for Efficient End-to-End Autonomous Driving. CoRR Haisheng Su, Wei Wu, Feixiang Song, Junjie Zhang, Zhenjie Yang, Junchi Yan
2026	J	`jnl`	Efficient-LVSM: Faster, Cheaper, and Better Large View Synthesis Model via Decoupled Co-Refinement Attention. CoRR Xiaosong Jia, Yihang Sun, Junqi You, Songbur Wong, Zichen Zou, Junchi Yan, Zuxuan Wu, Yu-Gang Jiang
2026	J	`jnl`	Entropy-Tree: Tree-Based Decoding with Entropy-Guided Exploration. CoRR Longxuan Wei, Yubo Zhang, Zijiao Zhang, Zhihu Wang, Shiwan Zhao, Tianyu Huang, Huiting Zhao, Chenfei Liu, Shenao Zhang, Junchi Yan
2026	J	`jnl`	Euphonium: Steering Video Flow Matching via Process Reward Gradient Guided Stochastic Dynamics. CoRR Ruizhe Zhong, Jiesong Lian, Xiaoyue Mi, Zixiang Zhou, Yuan Zhou, Qinglin Lu, Junchi Yan
2026	J	`jnl`	EvoTok: A Unified Image Tokenizer via Residual Latent Evolution for Visual Understanding and Generation. CoRR Yan Li, Ning Liao, Xiangyu Zhao, Shaofeng Zhang, Xiaoxing Wang, Yifan Yang, Junchi Yan, Xue Yang
2026	J	`jnl`	Exploiting Unlabeled Data with Multiple Expert Teachers for Open Vocabulary Aerial Object Detection and Its Orientation Adaptation. Int. J. Comput. Vis. Yan Li, Weiwei Guo, Xue Yang, Ning Liao, Shaofeng Zhang, Yi Yu, Wenxian Yu, Junchi Yan
2026	J	`jnl`	FineRMoE: Dimension Expansion for Finer-Grained Expert with Its Upcycling Approach. CoRR Ning Liao, Xiaoxing Wang, Xiaohan Qin, Junchi Yan
2026	J	`jnl`	GRADE: Benchmarking Discipline-Informed Reasoning in Image Editing. CoRR Mingxin Liu, Ziqian Fan, Zhaokai Wang, Leyao Gu, Zirun Zhu, Yiguo He, Yuchen Yang, Changyao Tian, Xiangyu Zhao, Ning Liao, Shaofeng Zhang, Qibing Ren, Zhihang Zhong, Xuanhe Zhou, Junchi Yan, Xue Yang
2026	J	`jnl`	HELP: HyperNode Expansion and Logical Path-Guided Evidence Localization for Accurate and Efficient GraphRAG. CoRR Yuqi Huang, Ning Liao, Kai Yang, Anning Hu, Shengchao Hu, Xiaoxing Wang, Junchi Yan
2026	J	`jnl`	INFA-Guard: Mitigating Malicious Propagation via Infection-Aware Safeguarding in LLM-Based Multi-Agent Systems. CoRR Yijin Zhou, Xiaoya Lu, Dongrui Liu, Junchi Yan, Jing Shao
2026	J	`jnl`	JTok: On Token Embedding as another Axis of Scaling Law via Joint Token Self-modulation. CoRR Yebin Yang, Huaijin Wu, Fu Guo, Lin Yao, Xiaohan Qin, Jingzhi Wang, Debing Zhang, Junchi Yan
2026	J	`jnl`	Learning to Decode Against Compositional Hallucination in Video Multimodal Large Language Models. CoRR Wenbin Xing, Quanxing Zha, Lizheng Zu, Mengran Li, Ming Li, Junchi Yan
2026	J	`jnl`	LongR: Unleashing Long-Context Reasoning via Reinforcement Learning with Dense Utility Rewards. CoRR Bowen Ping, Zijun Chen, Yiyao Yu, Tingfeng Hui, Junchi Yan, Baobao Chang
2026	J	`jnl`	Milestones over Outcome: Unlocking Geometric Reasoning with Sub-Goal Verifiable Reward. CoRR Jianlong Chen, Daocheng Fu, Shengze Xu, Jiawei Chen, Yuan Feng, Yue Yang, Junchi Yan, Hongyuan Zha, Renqiu Xia
2026	A*	`conf`	On the Learning Dynamics of Two-layer Linear Networks with Label Noise SGD. AAAI Tongcheng Zhang, Zhanpeng Zhou, Mingze Wang, Andi Han, Wei Huang, Taiji Suzuki, Junchi Yan
2026	J	`jnl`	On the Learning Dynamics of Two-layer Linear Networks with Label Noise SGD. CoRR Tongcheng Zhang, Zhanpeng Zhou, Mingze Wang, Andi Han, Wei Huang, Taiji Suzuki, Junchi Yan
2026	J	`jnl`	RulePlanner: All-in-One Reinforcement Learner for Unifying Design Rules in 3D Floorplanning. CoRR Ruizhe Zhong, Xingbo Du, Junchi Yan
2026	A*	`conf`	ST-TPP: Learning Semi-Transductive Temporal Point Processes with Gromov-Wasserstein Barycentric Regularization. AAAI Qingmei Wang, Tianyu Huang, Yujie Long, Yuxin Wu, Fanmeng Wang, Xi Sun, Junchi Yan, Hongteng Xu
2026	J	`jnl`	TodoEvolve: Learning to Architect Agent Planning Systems. CoRR Jiaxi Liu, Yanzuo Jiang, Guibin Zhang, Zihan Zhang, Heng Chang, Zhenfei Yin, Qibing Ren, Junchi Yan
2026	J	`jnl`	Towards Cold-Start Drafting and Continual Refining: A Value-Driven Memory Approach with Application to NPU Kernel Synthesis. CoRR Yujie Zheng, Zhuo Li, Shengtao Zhang, Hanjing Wang, Junjie Sheng, Jiaqian Wang, Junchi Yan, Weinan Zhang, Ying Wen, Bo Tang, Muning Wen
2026	A*	`conf`	Towards Real-Time Neutral Atom Array Assembly via Unsupervised Hologram Generation and Path Optimization. AAAI Ge Yan, Yuchen Wang, Junchi Yan
2026	J	`jnl`	Trust Your Critic: Robust Reward Modeling and Reinforcement Learning for Faithful Image Editing and Generation. CoRR Xiangyu Zhao, Peiyuan Zhang, Junming Lin, Tianhao Liang, Yuchen Duan, Shengyuan Ding, Changyao Tian, Yuhang Zang, Junchi Yan, Xue Yang
2025	J	`jnl`	AgiBot World Colosseo: A Large-scale Manipulation Platform for Scalable and Intelligent Embodied Systems. CoRR AgiBot-World-Contributors, Qingwen Bu, Jisong Cai, Li Chen, Xiuqi Cui, Yan Ding, Siyuan Feng, Shenyuan Gao, Xindong He, Xu Huang, Shu Jiang, Yuxin Jiang, Cheng Jing, Hongyang Li, Jialu Li, Chiming Liu, Yi Liu, Yuxiang Lu, Jianlan Luo, Ping Luo, Yao Mu, Yuehan Niu, Yixuan Pan, Jiangmiao Pang, Yu Qiao, Guanghui Ren, Cheng Ruan, Jiaqi Shan, Yongjian Shen, Chengshi Shi, Mingkang Shi, Modi Shi, Chonghao Sima, Jianheng Song, Huijie Wang, Wenhao Wang, Dafeng Wei, Chengen Xie, Guo Xu, Junchi Yan, Cunbiao Yang, Lei Yang, Shukai Yang, Maoqing Yao, Jia Zeng, Chi Zhang, Qinglin Zhang, Bin Zhao, Chengyue Zhao, Jiaqi Zhao, Jianchao Zhu
2025	J	`jnl`	All Patches Matter, More Patches Better: Enhance AI-Generated Image Detection via Panoptic Patch Learning. CoRR Zheng Yang, Ruoxin Chen, Zhiyuan Yan, Ke-Yue Zhang, Xinghe Fu, Shuang Wu, Xiujun Shu, Taiping Yao, Junchi Yan, Shouhong Ding, Xi Li
2025	J	`jnl`	Attention Illuminates LLM Reasoning: The Preplan-and-Anchor Rhythm Enables Fine-Grained Policy Optimization. CoRR Yang Li, Zhichen Dong, Yuhan Sun, Weixun Wang, Shaopan Xiong, Yijia Luo, Jiashun Liu, Han Lu, Jiamang Wang, Wenbo Su, Bo Zheng, Junchi Yan
2025	A*	`conf`	BTBS-LNS: Binarized-Tightening, Branch and Search on Learning LNS Policies for MIP. ICLR Hao Yuan, Wenli Ouyang, Changwen Zhang, Yong Sun, Liming Gong, Junchi Yan
2025	J	`jnl`	Beyond Benchmark: LLMs Evaluation with an Anthropomorphic and Value-oriented Roadmap. CoRR Jun Wang, Ninglun Gu, Kailai Zhang, Zijiao Zhang, Yelun Bao, Jin Yang, Xu Yin, Liwei Liu, Yihuan Liu, Pengyong Li, Gary G. Yen, Junchi Yan
2025	A*	`conf`	Beyond Circuit Connections: A Non-Message Passing Graph Transformer Approach for Quantum Error Mitigation. ICLR Tianyi Bao, Xinyu Ye, Hang Ruan, Chang Liu, Wenjie Wu, Junchi Yan
2025	J	`jnl`	Beyond Theorem Proving: Formulation, Framework and Benchmark for Formal Problem-Solving. CoRR Qi Liu, Xinhao Zheng, Renqiu Xia, Xingzhi Qi, Qinxiang Cao, Junchi Yan
2025	—	`conf`	BiQAP: Neural Bi-level Optimization-based Framework for Solving Quadratic Assignment Problems. KDD (2) Liangliang Shi, Haoran Zhang, Shuheng Shen, Changhua Meng, Weiqiang Wang, Junchi Yan
2025	A*	`conf`	COExpander: Adaptive Solution Expansion for Combinatorial Optimization. ICML Jiale Ma, Wenzheng Pan, Yang Li, Junchi Yan
2025	A*	`conf`	CR2PQ: Continuous Relative Rotary Positional Query for Dense Visual Representation Learning. ICLR Shaofeng Zhang, Qiang Zhou, Sitong Wu, Haoru Tan, Zhibin Wang, Jinfa Huang, Junchi Yan
2025	J	`jnl`	Calibrating Biased Distribution in VFM-derived Latent Space via Cross-Domain Geometric Consistency. CoRR Yanbiao Ma, Wei Dai, Bowei Liu, Jiayi Chen, Wenke Huang, Guancheng Wan, Zhiwu Lu, Junchi Yan
2025	J	`jnl`	ChartX and ChartVLM: A Versatile Benchmark and Foundation Model for Complicated Chart Reasoning. IEEE Trans. Image Process. Renqiu Xia, Hancheng Ye, Xiangchao Yan, Qi Liu, Hongbin Zhou, Zijun Chen, Botian Shi, Junchi Yan, Bo Zhang
2025	J	`jnl`	Co-Training Vision Language Models for Remote Sensing Multi-task Learning. CoRR Qingyun Li, Shuran Ma, Junwei Luo, Yi Yu, Yue Zhou, Fengxiang Wang, Xudong Lu, Xiaoxing Wang, Xin He, Yushi Chen, Xue Yang, Junchi Yan
2025	A*	`conf`	DSBRouter: End-to-end Global Routing via Diffusion Schr\"{o}dinger Bridge. ICML Liangliang Shi, Shenhui Zhang, Xingbo Du, Nianzu Yang, Junchi Yan
2025	J	`jnl`	Decentralized Transformers with Centralized Aggregation are Sample-Efficient Multi-Agent World Models. Trans. Mach. Learn. Res. Yang Zhang, Chenjia Bai, Bin Zhao, Junchi Yan, Xiu Li, Xuelong Li
2025	J	`jnl`	Decoupled Geometric Parameterization and its Application in Deep Homography Estimation. CoRR Yao Huang, Si-Yuan Cao, Yaqing Ding, Hao Yin, Shibin Xie, Shuting Wang, Zhijun Fang, Jiachun Wang, Shen Cai, Junchi Yan, Shuhan Shen
2025	J	`jnl`	DiOpt: Self-supervised Diffusion for Constrained Optimization. CoRR Shutong Ding, Yimiao Zhou, Ke Hu, Xi Yao, Junchi Yan, Xiaoying Tang, Ye Shi
2025	J	`jnl`	DriveMoE: Mixture-of-Experts for Vision-Language-Action Model in End-to-End Autonomous Driving. CoRR Zhenjie Yang, Yilin Chai, Xiaosong Jia, Qifeng Li, Yuqian Shao, Xuekai Zhu, Haisheng Su, Junchi Yan
2025	A*	`conf`	DriveTransformer: Unified Transformer for Scalable End-to-End Autonomous Driving. ICLR Xiaosong Jia, Junqi You, Zhiyuan Zhang, Junchi Yan
2025	J	`jnl`	DriveTransformer: Unified Transformer for Scalable End-to-End Autonomous Driving. CoRR Xiaosong Jia, Junqi You, Zhiyuan Zhang, Junchi Yan
2025	J	`jnl`	DriveVGGT: Visual Geometry Transformer for Autonomous Driving. CoRR Xiaosong Jia, Yanhao Liu, Junqi You, Renqiu Xia, Yu Hong, Junchi Yan
2025	J	`jnl`	Dual-Branch Center-Surrounding Contrast: Rethinking Contrastive Learning for 3D Point Clouds. CoRR Shaofeng Zhang, Xuanqi Chen, Xiangdong Zhang, Sitong Wu, Junchi Yan
2025	J	`jnl`	EasyOutPainter: One Step Image Outpainting With Both Continuous Multiple and Resolution. IEEE Trans. Pattern Anal. Mach. Intell. Shaofeng Zhang, Qiang Zhou, Zhibin Wang, Hao Li, Junchi Yan
2025	J	`jnl`	Efficient Packaging Line Object Counting by Cross-Frame Association With Wavelet Convolutions and Trajectory Compensation. IEEE Access Longxuan Wei, Yutao Zhu, Yufeng Li, Ming Qian, Xiang Zuo, Boan Chen, Shiyu Liang, Zhouhan Lin, Junchi Yan
2025	J	`jnl`	Envisioning Beyond the Pixels: Benchmarking Reasoning-Informed Visual Editing. CoRR Xiangyu Zhao, Peiyuan Zhang, Kexian Tang, Hao Li, Zicheng Zhang, Guangtao Zhai, Junchi Yan, Hua Yang, Xue Yang, Haodong Duan
2025	J	`jnl`	EtCon: Edit-then-Consolidate for Reliable Knowledge Editing. CoRR Ruilin Li, Yibin Wang, Wenhong Zhu, Chenglin Li, Jinghao Zhang, Chenliang Li, Junchi Yan, Jiaqi Wang
2025	J	`jnl`	Fast T2T: Optimization Consistency Speeds Up Diffusion-Based Training-to-Testing Solving for Combinatorial Optimization. CoRR Yang Li, Jinpei Guo, Runzhong Wang, Hongyuan Zha, Junchi Yan
2025	J	`jnl`	Fast and Interpretable 2D Homography Decomposition: Similarity-Kernel-Similarity and Affine-Core-Affine Transformations. IEEE Trans. Pattern Anal. Mach. Intell. Shen Cai, Zhanhao Wu, Lingxi Guo, Jiachun Wang, Siyu Zhang, Junchi Yan, Shuhan Shen
2025	A*	`conf`	FlatFusion: Delving Into Details of Sparse Transformer-Based Camera-LiDAR Fusion for Autonomous Driving. ICRA Yutao Zhu, Xiaosong Jia, Xinyu Yang, Junchi Yan
2025	J	`jnl`	FreqPDE: Rethinking Positional Depth Embedding for Multi-View 3D Object Detection Transformers. CoRR Haisheng Su, Junjie Zhang, Feixiang Song, Sanping Zhou, Wei Wu, Nanning Zheng, Junchi Yan
2025	A*	`conf`	Generative Modeling Reinvents Supervised Learning: Label Repurposing with Predictive Consistency Learning. ICML Yang Li, Jiale Ma, Yebin Yang, Qitian Wu, Hongyuan Zha, Junchi Yan
2025	J	`jnl`	GeoBench: Rethinking Multimodal Geometric Problem-Solving via Hierarchical Evaluation. CoRR Yuan Feng, Yue Yang, Xiaohan He, Jiatong Zhao, Jianlong Chen, Zijun Chen, Daocheng Fu, Qi Liu, Renqiu Xia, Bo Zhang, Junchi Yan
2025	A*	`conf`	GeoX: Geometric Problem Solving Through Unified Formalized Vision-Language Pre-training. ICLR 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	Misc	`conf`	Graph Pooling via Dropping Task-Irrelevant Nodes. ICASSP Cheng Zhong, Shaofeng Zhang, Feng Zhu, Rui Zhao, Xiaokang Yang, Junchi Yan
2025	A*	`conf`	HEAP: Hyper Extended A-PDHG Operator for Constrained High-dim PDEs. ICML Mingquan Feng, Weixin Liao, Yixin Huang, Yifan Fu, Qifu Zheng, Junchi Yan
2025	A*	`conf`	HShare: Fast LLM Decoding by Hierarchical Key-Value Sharing. ICLR Huaijin Wu, Lianqiang Li, Hantao Huang, Tu Yi, Jihang Zhang, Minghui Yu, Junchi Yan
2025	J	`jnl`	Innovator: Scientific Continued Pretraining with Fine-grained MoE Upcycling. CoRR Ning Liao, Xiaoxing Wang, Zehao Lin, Weiyang Guo, Feng Hong, Shixiang Song, Geng Yu, Zihua Zhao, Sitao Xie, Longxuan Wei, Xiangqi Jin, Xiaohan Qin, Jiale Ma, Kai Chen, Jiangchao Yao, Zhouhan Lin, Junchi Yan, Zhiyu Li, Feiyu Xiong, Yanfeng Wang, Linfeng Zhang
2025	A*	`conf`	Int2Planner: An Intention-based Multi-modal Motion Planner for Integrated Prediction and Planning. AAAI Xiaolei Chen, Junchi Yan, Wenlong Liao, Tao He, Pai Peng
2025	J	`jnl`	Int2Planner: An Intention-based Multi-modal Motion Planner for Integrated Prediction and Planning. CoRR Xiaolei Chen, Junchi Yan, Wenlong Liao, Tao He, Pai Peng
2025	J	`jnl`	Interleave-VLA: Enhancing Robot Manipulation with Interleaved Image-Text Instructions. CoRR Cunxin Fan, Xiaosong Jia, Yihang Sun, Yixiao Wang, Jianglan Wei, Ziyang Gong, Xiangyu Zhao, Masayoshi Tomizuka, Xue Yang, Junchi Yan, Mingyu Ding
2025	J	`jnl`	KITINet: Kinetics Theory Inspired Network Architectures with PDE Simulation Approaches. CoRR Mingquan Feng, Yifan Fu, Tongcheng Zhang, Yu Jiang, Yixin Huang, Junchi Yan
2025	J	`jnl`	KO: Kinetics-inspired Neural Optimizer with PDE Simulation Approaches. CoRR Mingquan Feng, Yixin Huang, Yifan Fu, Shaobo Wang, Junchi Yan
2025	—	`conf`	LLMs know their vulnerabilities: Uncover Safety Gaps through Natural Distribution Shifts. ACL (1) Qibing Ren, Hao Li, Dongrui Liu, Zhanxu Xie, Xiaoya Lu, Yu Qiao, Lei Sha, Junchi Yan, Lizhuang Ma, Jing Shao
2025	J	`jnl`	LaGen: Towards Autoregressive LiDAR Scene Generation. CoRR Sizhuo Zhou, Xiaosong Jia, Fanrui Zhang, Junjie Li, Juyong Zhang, Yukang Feng, Jianwen Sun, Songbur Wong, Junqi You, Junchi Yan
2025	Misc	`conf`	LaTeXNet: A Specialized Model for Converting Visual Tables and Equations to LaTeX Code. ICASSP Renqiu Xia, Hongbin Zhou, Ziming Feng, Huanxi Liu, Boan Chen, Bo Zhang, Junchi Yan
2025	J	`jnl`	Learning Adaptive and Temporally Causal Video Tokenization in a 1D Latent Space. CoRR Yan Li, Changyao Tian, Renqiu Xia, Ning Liao, Weiwei Guo, Junchi Yan, Hongsheng Li, Jifeng Dai, Hao Li, Xue Yang
2025	A*	`conf`	Learning Initial Basis Selection for Linear Programming via Duality-Inspired Tripartite Graph Representation and Comprehensive Supervision. ICML Anqi Lu, Junchi Yan
2025	A*	`conf`	Learning Structured Universe Graph with Outlier OOD Detection for Partial Matching. ICLR Zetian Jiang, Jiaxin Lu, Haizhao Fan, Tianzhe Wang, Junchi Yan
2025	J	`jnl`	LiDAR-guided Geometric Pretraining for Vision-Centric 3D Object Detection. Int. J. Comput. Vis. Linyan Huang, Huijie Wang, Jia Zeng, Shengchuan Zhang, Liujuan Cao, Junchi Yan, Hongyang Li
2025	J	`jnl`	LoPA: Scaling dLLM Inference via Lookahead Parallel Decoding. CoRR Chenkai Xu, Yijie Jin, Jiajun Li, Yi Tu, Guoping Long, Dandan Tu, Mingcong Song, Hongjie Si, Tianqi Hou, Junchi Yan, Zhijie Deng
2025	J	`jnl`	M-Tuning: Prompt Tuning With Mitigated Label Bias in Open-Set Scenarios. IEEE Trans. Circuits Syst. Video Technol. Ning Liao, Xiaopeng Zhang, Min Cao, Junchi Yan
2025	J	`jnl`	MM-HELIX: Boosting Multimodal Long-Chain Reflective Reasoning with Holistic Platform and Adaptive Hybrid Policy Optimization. CoRR Xiangyu Zhao, Junming Lin, Tianhao Liang, Yifan Zhou, Wenhao Chai, Yuzhe Gu, Weiyun Wang, Kai Chen, Gen Luo, Wenwei Zhang, Junchi Yan, Hua Yang, Haodong Duan, Xue Yang
2025	Misc	`conf`	Melody Structure Transfer Network: Generating Music with Separable Self-Attention. ICASSP Junlin Wu, Ning Zhang, Cheng Zhong, Boan Chen, Huanxi Liu, Junchi Yan
2025	J	`jnl`	MemOS: A Memory OS for AI System. CoRR Zhiyu Li, Shichao Song, Chenyang Xi, Hanyu Wang, Chen Tang, Simin Niu, Ding Chen, Jiawei Yang, Chunyu Li, Qingchen Yu, Jihao Zhao, Yezhaohui Wang, Peng Liu, Zehao Lin, Pengyuan Wang, Jiahao Huo, Tianyi Chen, Kai Chen, Kehang Li, Zhen Tao, Junpeng Ren, Huayi Lai, Hao Wu, Bo Tang, Zhenren Wang, Zhaoxin Fan, Ningyu Zhang, Linfeng Zhang, Junchi Yan, Mingchuan Yang, Tong Xu, Wei Xu, Huajun Chen, Haofeng Wang, Hongkang Yang, Wentao Zhang, Zhi-Qin John Xu, Siheng Chen, Feiyu Xiong
2025	J	`jnl`	NTKMTL: Mitigating Task Imbalance in Multi-Task Learning from Neural Tangent Kernel Perspective. CoRR Xiaohan Qin, Xiaoxing Wang, Ning Liao, Junchi Yan
2025	J	`jnl`	New Evidence of the Two-Phase Learning Dynamics of Neural Networks. CoRR Zhanpeng Zhou, Yongyi Yang, Mahito Sugiyama, Junchi Yan
2025	A*	`conf`	On Designing General and Expressive Quantum Graph Neural Networks with Applications to MILP Instance Representation. ICLR Xinyu Ye, Hao Xiong, Jianhao Huang, Ziang Chen, Jia Wang, Junchi Yan
2025	J	`jnl`	On neural architecture search and hyperparameter optimization: A max-flow based approach. Neural Networks Chao Xue, Jiaxing Li, Xiaoxing Wang, Yibing Zhan, Junchi Yan, Chun-Guang Li
2025	J	`jnl`	On the Cone Effect in the Learning Dynamics. CoRR Zhanpeng Zhou, Yongyi Yang, Jie Ren, Mahito Sugiyama, Junchi Yan
2025	A*	`conf`	On the Role of Label Noise in the Feature Learning Process. ICML Andi Han, Wei Huang, Zhanpeng Zhou, Gang Niu, Wuyang Chen, Junchi Yan, Akiko Takeda, Taiji Suzuki
2025	J	`jnl`	On the Role of Label Noise in the Feature Learning Process. CoRR Andi Han, Wei Huang, Zhanpeng Zhou, Gang Niu, Wuyang Chen, Junchi Yan, Akiko Takeda, Taiji Suzuki
2025	A*	`conf`	Optimal Control Operator Perspective and a Neural Adaptive Spectral Method. AAAI Mingquan Feng, Zhijie Chen, Yixin Huang, Yizhou Liu, Junchi Yan
2025	A*	`conf`	Optimal Flow Transport and its Entropic Regularization: a GPU-friendly Matrix Iterative Algorithm for Flow Balance Satisfaction. ICLR Liangliang Shi, Yufeng Li, Kaipeng Zeng, Yihui Tu, Junchi Yan
2025	A*	`conf`	Optimize Battery Control: A Multi-Objective Evolutionary Ensemble Reinforcement Learning Approach. IJCAI Jingwei Hu, Kai Xie, Zheng Fang, Xiaodong Li, Junchi Yan, Zhihong Zhang
2025	J	`jnl`	Part II: ROLL Flash - Accelerating RLVR and Agentic Training with Asynchrony. CoRR Han Lu, Zichen Liu, Shaopan Xiong, Yancheng He, Wei Gao, Yanan Wu, Weixun Wang, Jiashun Liu, Yang Li, Haizhou Zhao, Ju Huang, Siran Yang, Xiaoyang Li, Yijia Luo, Zihe Liu, Ling Pan, Junchi Yan, Wei Wang, Wenbo Su, Jiamang Wang, Lin Qu, Bo Zheng
2025	A*	`conf`	Pedestrian Motion Reconstruction: A Large-scale Benchmark via Mixed Reality Rendering with Multiple Perspectives and Modalities. ICLR 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	A*	`conf`	PhysPDE: Rethinking PDE Discovery and a Physical Hypothesis Selection Benchmark. ICLR Mingquan Feng, Yixin Huang, Yizhou Liu, Bofang Jiang, Junchi Yan
2025	J	`jnl`	Physics-informed Neural-operator Predictive Control for Drag Reduction in Turbulent Flows. CoRR Zelin Zhao, Zongyi Li, Kimia Hassibi, Kamyar Azizzadenesheli, Junchi Yan, Hyunji Jane Bae, Di Zhou, Anima Anandkumar
2025	J	`jnl`	Player-Centric Multimodal Prompt Generation for Large Language Model Based Identity-Aware Basketball Video Captioning. CoRR Zeyu Xi, Haoying Sun, Yaofei Wu, Junchi Yan, Haoran Zhang, Lifang Wu, Liang Wang, Changwen Chen
2025	A*	`conf`	Point2RBox-v2: Rethinking Point-supervised Oriented Object Detection with Spatial Layout Among Instances. CVPR Yi Yu, Botao Ren, Peiyuan Zhang, Mingxin Liu, Junwei Luo, Shaofeng Zhang, Feipeng Da, Junchi Yan, Xue Yang
2025	J	`jnl`	Point2RBox-v2: Rethinking Point-supervised Oriented Object Detection with Spatial Layout Among Instances. CoRR Yi Yu, Botao Ren, Peiyuan Zhang, Mingxin Liu, Junwei Luo, Shaofeng Zhang, Feipeng Da, Junchi Yan, Xue Yang
2025	J	`jnl`	Point2RBox-v3: Self-Bootstrapping from Point Annotations via Integrated Pseudo-Label Refinement and Utilization. CoRR Teng Zhang, Ziqian Fan, Mingxin Liu, Xin Zhang, Xudong Lu, Wentong Li, Yue Zhou, Yi Yu, Xiang Li, Junchi Yan, Xue Yang
2025	J	`jnl`	PointOBB-v3: Expanding Performance Boundaries of Single Point-Supervised Oriented Object Detection. CoRR Peiyuan Zhang, Junwei Luo, Xue Yang, Yi Yu, Qingyun Li, Yue Zhou, Xiaosong Jia, Xudong Lu, Jingdong Chen, Xiang Li, Junchi Yan, Yansheng Li
2025	J	`jnl`	PointOBB-v3: Expanding Performance Boundaries of Single Point-Supervised Oriented Object Detection. Int. J. Comput. Vis. Peiyuan Zhang, Junwei Luo, Xue Yang, Yi Yu, Qingyun Li, Yue Zhou, Xiaosong Jia, Xudong Lu, Jingdong Chen, Xiang Li, Junchi Yan, Yansheng Li
2025	J	`jnl`	Predictive Hydrodynamic Simulations for Laser Direct-drive Implosion Experiments via Artificial Intelligence. CoRR Zixu Wang, Yuhan Wang, Junfei Ma, Fuyuan Wu, Junchi Yan, Xiaohui Yuan, Zhe Zhang, Jie Zhang
2025	J	`jnl`	ProCLIP: Progressive Vision-Language Alignment via LLM-based Embedder. CoRR Xiaoxing Hu, Kaicheng Yang, Ziyang Gong, Qi Ming, Zonghao Guo, Xiang An, Ziyong Feng, Junchi Yan, Xue Yang
2025	J	`jnl`	ProtoReasoning: Prototypes as the Foundation for Generalizable Reasoning in LLMs. CoRR Feng He, Zijun Chen, Xinnian Liang, Tingting Ma, Yunqi Qiu, Shuangzhi Wu, Junchi Yan
2025	A*	`conf`	QEM-Bench: Benchmarking Learning-based Quantum Error Mitigation and QEMFormer as a Multi-ranged Context Learning Baseline. ICML Tianyi Bao, Ruizhe Zhong, Xinyu Ye, Yehui Tang, Junchi Yan
2025	A*	`conf`	QuaDiM: A Conditional Diffusion Model For Quantum State Property Estimation. ICLR Yehui Tang, Mabiao Long, Junchi Yan
2025	A*	`conf`	QuanONet: Quantum Neural Operator with Application to Differential Equation. ICML Ruocheng Wang, Zhuo Xia, Ge Yan, Junchi Yan
2025	J	`jnl`	Raw2Drive: Reinforcement Learning with Aligned World Models for End-to-End Autonomous Driving (in CARLA v2). CoRR Zhenjie Yang, Xiaosong Jia, Qifeng Li, Xue Yang, Maoqing Yao, Junchi Yan
2025	—	`conf`	Re-TASK: Revisiting LLM Tasks from Capability, Skill, and Knowledge Perspectives. ACL (Findings) Zhihu Wang, Shiwan Zhao, Yu Wang, Heyuan Huang, Sitao Xie, Yubo Zhang, Jiaxin Shi, Zhixing Wang, Hongyan Li, Junchi Yan
2025	J	`jnl`	Reasoning Palette: Modulating Reasoning via Latent Contextualization for Controllable Exploration for (V)LMs. CoRR Rujiao Long, Yang Li, Xingyao Zhang, Weixun Wang, Tianqianjin Lin, Xi Zhao, Yuchi Xu, Wenbo Su, Junchi Yan, Bo Zheng
2025	A*	`conf`	Regularizing Energy among Training Samples for Out-of-Distribution Generalization. ICLR Yiting Chen, Qitian Wu, Junchi Yan
2025	—	`conf`	Reinvent the Operation not the Architecture: Quantum-inspired High-order Product for Compatible and Improved LLMs Training. KDD (2) Hao Xiong, Yebin Yang, Huaijin Wu, Xiaoqiu Zhong, Yehui Tang, Zhuo Xia, Xiaoxing Wang, Junchi Yan
2025	J	`jnl`	Repulsor: Accelerating Generative Modeling with a Contrastive Memory Bank. CoRR Shaofeng Zhang, Xuanqi Chen, Ning Liao, Haoxiang Zhao, Xiaoxing Wang, Haoru Tan, Sitong Wu, Xiaosong Jia, Qi Fan, Junchi Yan
2025	A*	`conf`	Rethinking Classifier Re-Training in Long-Tailed Recognition: Label Over-Smooth Can Balance. ICLR Siyu Sun, Han Lu, Jiangtong Li, Yichen Xie, Tianjiao Li, Xiaokang Yang, Liqing Zhang, Junchi Yan
2025	J	`jnl`	Rethinking Urban Mobility Prediction: A Multivariate Time Series Forecasting Approach. IEEE Trans. Intell. Transp. Syst. Jinguo Cheng, Ke Li, Yuxuan Liang, Lijun Sun, Junchi Yan, Yuankai Wu
2025	J	`jnl`	Rethinking Video Tokenization: A Conditioned Diffusion-based Approach. CoRR Nianzu Yang, Pandeng Li, Liming Zhao, Yang Li, Chen-Wei Xie, Yehui Tang, Xudong Lu, Zhihang Liu, Yun Zheng, Yu Liu, Junchi Yan
2025	A*	`conf`	Rethinking and Improving Autoformalization: Towards a Faithful Metric and a Dependency Retrieval-based Approach. ICLR Qi Liu, Xinhao Zheng, Xudong Lu, Qinxiang Cao, Junchi Yan
2025	J	`jnl`	Rethinking visual prompt learning as masked visual token modeling. Artif. Intell. Ning Liao, Bowen Shi, Xiaopeng Zhang, Min Cao, Junchi Yan, Qi Tian
2025	A*	`conf`	Revisiting Fairness in Multitask Learning: A Performance-Driven Approach for Variance Reduction. CVPR Xiaohan Qin, Xiaoxing Wang, Junchi Yan
2025	A*	`conf`	RoboSense: Large-scale Dataset and Benchmark for Egocentric Robot Perception and Navigation in Crowded and Unstructured Environments. CVPR Haisheng Su, Feixiang Song, Cong Ma, Wei Wu, Junchi Yan
2025	B	`conf`	SE-Merging: A Self-Enhanced Approach for Dynamic Model Merging. IJCNN Zijun Chen, Zhanpeng Zhou, Bo Zhang, Weinan Zhang, Xi Sun, Junchi Yan
2025	J	`jnl`	SE-Merging: A Self-Enhanced Approach for Dynamic Model Merging. CoRR Zijun Chen, Zhanpeng Zhou, Bo Zhang, Weinan Zhang, Xi Sun, Junchi Yan
2025	A*	`conf`	SINGER: Stochastic Network Graph Evolving Operator for High Dimensional PDEs. ICLR Mingquan Feng, Yixin Huang, Weixin Liao, Yuhong Liu, Yizhou Liu, Junchi Yan
2025	J	`jnl`	SPOT: Scalable 3D Pre-Training via Occupancy Prediction for Learning Transferable 3D Representations. IEEE Trans. Pattern Anal. Mach. Intell. Xiangchao Yan, Runjian Chen, Bo Zhang, Hancheng Ye, Renqiu Xia, Jiakang Yuan, Hongbin Zhou, Xinyu Cai, Botian Shi, Wenqi Shao, Ping Luo, Yu Qiao, Tao Chen, Junchi Yan
2025	J	`jnl`	STAR: A First-Ever Dataset and a Large-Scale Benchmark for Scene Graph Generation in Large-Size Satellite Imagery. IEEE Trans. Pattern Anal. Mach. Intell. Yansheng Li, Linlin Wang, Tingzhu Wang, Xue Yang, Junwei Luo, Qi Wang, Youming Deng, Wenbin Wang, Xian Sun, Haifeng Li, Bo Dang, Yongjun Zhang, Yi Yu, Junchi Yan
2025	J	`jnl`	Sel4FT: Annotation Selection for Pretraining-Finetuning With Distribution Shift. IEEE Trans. Pattern Anal. Mach. Intell. Han Lu, Yichen Xie, Mingyu Ding, Wei Zhan, Xiaokang Yang, Masayoshi Tomizuka, Junchi Yan
2025	A*	`conf`	SelKD: Selective Knowledge Distillation via Optimal Transport Perspective. ICLR Liangliang Shi, Zhengyan Shi, Junchi Yan
2025	A*	`conf`	Sharpness-Aware Minimization Efficiently Selects Flatter Minima Late In Training. ICLR Zhanpeng Zhou, Mingze Wang, Yuchen Mao, Bingrui Li, Junchi Yan
2025	J	`jnl`	SoliReward: Mitigating Susceptibility to Reward Hacking and Annotation Noise in Video Generation Reward Models. CoRR Jiesong Lian, Ruizhe Zhong, Zixiang Zhou, Xiaoyue Mi, Yixue Hao, Yuan Zhou, Qinglin Lu, Long Hu, Junchi Yan
2025	J	`jnl`	SpaCE-10: A Comprehensive Benchmark for Multimodal Large Language Models in Compositional Spatial Intelligence. CoRR Ziyang Gong, Wenhao Li, Oliver Ma, Songyuan Li, Jiayi Ji, Xue Yang, Gen Luo, Junchi Yan, Rongrong Ji
2025	J	`jnl`	Spatial Retrieval Augmented Autonomous Driving. CoRR Xiaosong Jia, Chenhe Zhang, Yule Jiang, Songbur Wong, Zhiyuan Zhang, Chen Chen, Shaofeng Zhang, Xuanhe Zhou, Xue Yang, Junchi Yan, Yu-Gang Jiang
2025	A*	`conf`	Tensor Network: from the Perspective of AI4Science and Science4AI. IJCAI Junchi Yan, Yehui Tang, Xinyu Ye, Hao Xiong, Xiaoqiu Zhong, Yuhan Wang, Yuan Qi
2025	J	`jnl`	The Decoupling Concept Bottleneck Model. IEEE Trans. Pattern Anal. Mach. Intell. Rui Zhang, Xingbo Du, Junchi Yan, Shihua Zhang
2025	A*	`conf`	The Sharpness Disparity Principle in Transformers for Accelerating Language Model Pre-Training. ICML Jinbo Wang, Mingze Wang, Zhanpeng Zhou, Junchi Yan, Weinan E, Lei Wu
2025	J	`jnl`	The Sharpness Disparity Principle in Transformers for Accelerating Language Model Pre-Training. CoRR Jinbo Wang, Mingze Wang, Zhanpeng Zhou, Junchi Yan, Weinan E, Lei Wu
2025	A*	`conf`	Towards Consistent Multi-Task Learning: Unlocking the Potential of Task-Specific Parameters. CVPR Xiaohan Qin, Xiaoxing Wang, Junchi Yan
2025	Misc	`conf`	Towards Green VAE: A Light Pixel-weighting Technique to Enhance Variational AutoEncoder. ICASSP Cheng Zhong, Junlin Wu, Ziming Feng, Boan Chen, Junchi Yan
2025	J	`jnl`	Towards More Diverse and Challenging Pre-training for Point Cloud Learning: Self-Supervised Cross Reconstruction with Decoupled Views. CoRR Xiangdong Zhang, Shaofeng Zhang, Junchi Yan
2025	J	`jnl`	Towards Practical Large-scale Dynamical Heterogeneous Graph Embedding: Cold-start Resilient Recommendation. CoRR Mabiao Long, Jiaxi Liu, Yufeng Li, Hao Xiong, Junchi Yan, Kefan Wang, Yi Cao, Jiandong Ding
2025	J	`jnl`	TrajTok: Technical Report for 2025 Waymo Open Sim Agents Challenge. CoRR Zhiyuan Zhang, Xiaosong Jia, Guanyu Chen, Qifeng Li, Junchi Yan
2025	A*	`conf`	Trajectory-LLM: A Language-based Data Generator for Trajectory Prediction in Autonomous Driving. ICLR 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	J	`jnl`	Transformers from Diffusion: A Unified Framework for Neural Message Passing. J. Mach. Learn. Res. Qitian Wu, David Wipf, Junchi Yan
2025	J	`jnl`	TrustGeoGen: Scalable and Formal-Verified Data Engine for Trustworthy Multi-modal Geometric Problem Solving. CoRR Daocheng Fu, Zijun Chen, Renqiu Xia, Qi Liu, Yuan Feng, Hongbin Zhou, Renrui Zhang, Shiyang Feng, Peng Gao, Junchi Yan, Botian Shi, Bo Zhang, Yu Qiao
2025	J	`jnl`	Understanding and mitigating dimensional collapse of Graph Contrastive Learning: A non-maximum removal approach. Neural Networks Jiawei Sun, Ruoxin Chen, Jie Li, Yue Ding, Chentao Wu, Zhi Liu, Junchi Yan
2025	A*	`conf`	UniCO: On Unified Combinatorial Optimization via Problem Reduction to Matrix-Encoded General TSP. ICLR Wenzheng Pan, Hao Xiong, Jiale Ma, Wentao Zhao, Yang Li, Junchi Yan
2025	J	`jnl`	UniLabOS: An AI-Native Operating System for Autonomous Laboratories. CoRR Jing Gao, Junhan Chang, Haohui Que, Yanfei Xiong, Shixiang Zhang, Xianwei Qi, Zhen Liu, Junjie Wang, Qianjun Ding, Xinyu Li, Ziwei Pan, Qiming Xie, Zhuang Yan, Junchi Yan, Linfeng Zhang
2025	A*	`conf`	UniMamba: Unified Spatial-Channel Representation Learning with Group-Efficient Mamba for LiDAR-based 3D Object Detection. CVPR Xin Jin, Haisheng Su, Kai Liu, Cong Ma, Wei Wu, Fei Hui, Junchi Yan
2025	J	`jnl`	UniMamba: Unified Spatial-Channel Representation Learning with Group-Efficient Mamba for LiDAR-based 3D Object Detection. CoRR Xin Jin, Haisheng Su, Kai Liu, Cong Ma, Wei Wu, Fei Hui, Junchi Yan
2025	A*	`conf`	Unify ML4TSP: Drawing Methodological Principles for TSP and Beyond from Streamlined Design Space of Learning and Search. ICLR Yang Li, Jiale Ma, Wenzheng Pan, Runzhong Wang, Haoyu Geng, Nianzu Yang, Junchi Yan
2025	J	`jnl`	Unsupervised Video Moment Retrieval with Knowledge-Based Pseudo-Supervision Construction. ACM Trans. Inf. Syst. Guolong Wang, Xun Wu, Xun Tu, Zhaoyuan Liu, Junchi Yan
2025	J	`jnl`	VideoREPA: Learning Physics for Video Generation through Relational Alignment with Foundation Models. CoRR Xiangdong Zhang, Jiaqi Liao, Shaofeng Zhang, Fanqing Meng, Xiangpeng Wan, Junchi Yan, Yu Cheng
2025	J	`jnl`	Visionary: The World Model Carrier Built on WebGPU-Powered Gaussian Splatting Platform. CoRR Yuning Gong, Yifei Liu, Yifan Zhan, Muyao Niu, Xueying Li, Yuanjun Liao, Jiaming Chen, Yuanyuan Gao, Jiaqi Chen, Minming Chen, Li Zhou, Yuning Zhang, Wei Wang, Xiaoqing Hou, Huaxi Huang, Shixiang Tang, Le Ma, Dingwen Zhang, Xue Yang, Junchi Yan, Yanchi Zhang, Yinqiang Zheng, Xiao Sun, Zhihang Zhong
2025	J	`jnl`	When AI Agents Collude Online: Financial Fraud Risks by Collaborative LLM Agents on Social Platforms. CoRR Qibing Ren, Zhijie Zheng, Jiaxuan Guo, Junchi Yan, Lizhuang Ma, Jing Shao
2025	J	`jnl`	When Autonomy Goes Rogue: Preparing for Risks of Multi-Agent Collusion in Social Systems. CoRR Qibing Ren, Sitao Xie, Longxuan Wei, Zhenfei Yin, Junchi Yan, Lizhuang Ma, Jing Shao
2025	J	`jnl`	Wholly-WOOD: Wholly Leveraging Diversified-Quality Labels for Weakly-Supervised Oriented Object Detection. IEEE Trans. Pattern Anal. Mach. Intell. Yi Yu, Xue Yang, Yansheng Li, Zhenjun Han, Feipeng Da, Junchi Yan
2025	J	`jnl`	Wholly-WOOD: Wholly Leveraging Diversified-quality Labels for Weakly-supervised Oriented Object Detection. CoRR Yi Yu, Xue Yang, Yansheng Li, Zhenjun Han, Feipeng Da, Junchi Yan
2025	J	`jnl`	ssToken: Self-modulated and Semantic-aware Token Selection for LLM Fine-tuning. CoRR Xiaohan Qin, Xiaoxing Wang, Ning Liao, Cancheng Zhang, Zhaoxiang Zhang, Mingquan Feng, Jingzhi Wang, Junchi Yan
2024	—	`conf`	3D Data Augmentation for Driving Scenes on Camera. PRCV (6) Wenwen Tong, Jiangwei Xie, Tianyu Li, Yang Li, Hanming Deng, Bo Dai, Lewei Lu, Hao Zhao, Junchi Yan, Hongyang Li
2024	A*	`conf`	ACM-MILP: Adaptive Constraint Modification via Grouping and Selection for Hardness-Preserving MILP Instance Generation. ICML Ziao Guo, Yang Li, Chang Liu, Wenli Ouyang, Junchi Yan
2024	J	`jnl`	AMP: Autoregressive Motion Prediction Revisited with Next Token Prediction for Autonomous Driving. CoRR Xiaosong Jia, Shaoshuai Shi, Zijun Chen, Li Jiang, Wenlong Liao, Tao He, Junchi Yan
2024	J	`jnl`	ARS-DETR: Aspect Ratio-Sensitive Detection Transformer for Aerial Oriented Object Detection. IEEE Trans. Geosci. Remote. Sens. Ying Zeng, Yushi Chen, Xue Yang, Qingyun Li, Junchi Yan
2024	J	`jnl`	ActiveAD: Planning-Oriented Active Learning for End-to-End Autonomous Driving. CoRR Han Lu, Xiaosong Jia, Yichen Xie, Wenlong Liao, Xiaokang Yang, Junchi Yan
2024	Misc	`conf`	Alpharotate: A Rotation Detection Benchmark Using Tensorflow. ICASSP Xue Yang, Yue Zhou, Wenlong Liao, Tao He, Junchi Yan
2024	J	`jnl`	Bench2Drive-R: Turning Real World Data into Reactive Closed-Loop Autonomous Driving Benchmark by Generative Model. CoRR Junqi You, Xiaosong Jia, Zhiyuan Zhang, Yutao Zhu, Junchi Yan
2024	A*	`conf`	Bench2Drive: Towards Multi-Ability Benchmarking of Closed-Loop End-To-End Autonomous Driving. NeurIPS Xiaosong Jia, Zhenjie Yang, Qifeng Li, Zhiyuan Zhang, Junchi Yan
2024	J	`jnl`	Bench2Drive: Towards Multi-Ability Benchmarking of Closed-Loop End-To-End Autonomous Driving. CoRR Xiaosong Jia, Zhenjie Yang, Qifeng Li, Zhiyuan Zhang, Junchi Yan
2024	A*	`conf`	Benchmarking PtO and PnO Methods in the Predictive Combinatorial Optimization Regime. NeurIPS Haoyu Geng, Hang Ruan, Runzhong Wang, Yang Li, Yang Wang, Lei Chen, Junchi Yan
2024	A*	`conf`	Boosting Order-Preserving and Transferability for Neural Architecture Search: A Joint Architecture Refined Search and Fine-Tuning Approach. CVPR Beichen Zhang, Xiaoxing Wang, Xiaohan Qin, Junchi Yan
2024	J	`jnl`	Boosting Order-Preserving and Transferability for Neural Architecture Search: a Joint Architecture Refined Search and Fine-tuning Approach. CoRR Beichen Zhang, Xiaoxing Wang, Xiaohan Qin, Junchi Yan
2024	J	`jnl`	Boundary Matters: A Bi-Level Active Finetuning Framework. CoRR Han Lu, Yichen Xie, Xiaokang Yang, Junchi Yan
2024	A*	`conf`	Boundary Matters: A Bi-Level Active Finetuning Method. NeurIPS Han Lu, Yichen Xie, Xiaokang Yang, Junchi Yan
2024	A*	`conf`	CalibRBEV: Multi-Camera Calibration via Reversed Bird's-eye-view Representations for Autonomous Driving. ACM Multimedia Wenlong Liao, Sunyuan Qiang, Xianfei Li, Xiaolei Chen, Haoyu Wang, Yanyan Liang, Junchi Yan, Tao He, Pai Peng
2024	A*	`conf`	Certified Robustness on Visual Graph Matching via Searching Optimal Smoothing Range. KDD Huaqing Shao, Lanjun Wang, Yongwei Wang, Qibing Ren, Junchi Yan
2024	J	`jnl`	ChartX & ChartVLM: A Versatile Benchmark and Foundation Model for Complicated Chart Reasoning. CoRR Renqiu Xia, Bo Zhang, Hancheng Ye, Xiangchao Yan, Qi Liu, Hongbin Zhou, Zijun Chen, Min Dou, Botian Shi, Junchi Yan, Yu Qiao
2024	A*	`conf`	Circuit Design and Efficient Simulation of Quantum Inner Product and Empirical Studies of Its Effect on Near-Term Hybrid Quantum-Classic Machine Learning. CVPR Hao Xiong, Yehui Tang, Xinyu Ye, Junchi Yan
2024	A*	`conf`	Closed-Loop Visuomotor Control with Generative Expectation for Robotic Manipulation. NeurIPS Qingwen Bu, Jia Zeng, Li Chen, Yanchao Yang, Guyue Zhou, Junchi Yan, Ping Luo, Heming Cui, Yi Ma, Hongyang Li
2024	J	`jnl`	Closed-Loop Visuomotor Control with Generative Expectation for Robotic Manipulation. CoRR Qingwen Bu, Jia Zeng, Li Chen, Yanchao Yang, Guyue Zhou, Junchi Yan, Ping Luo, Heming Cui, Yi Ma, Hongyang Li
2024	—	`conf`	CodeAttack: Revealing Safety Generalization Challenges of Large Language Models via Code Completion. ACL (Findings) Qibing Ren, Chang Gao, Jing Shao, Junchi Yan, Xin Tan, Wai Lam, Lizhuang Ma
2024	A*	`conf`	Continuous-Multiple Image Outpainting in One-Step via Positional Query and A Diffusion-based Approach. ICLR Shaofeng Zhang, Jinfa Huang, Qiang Zhou, Zhibin Wang, Fan Wang, Jiebo Luo, Junchi Yan
2024	J	`jnl`	Continuous-Multiple Image Outpainting in One-Step via Positional Query and A Diffusion-based Approach. CoRR Shaofeng Zhang, Jinfa Huang, Qiang Zhou, Zhibin Wang, Fan Wang, Jiebo Luo, Junchi Yan
2024	J	`jnl`	Cross-Task Linearity Emerges in the Pretraining-Finetuning Paradigm. CoRR Zhanpeng Zhou, Zijun Chen, Yilan Chen, Bo Zhang, Junchi Yan
2024	—	`conf`	DHelper: A Collaborative Toolkit for Manuscript Restoration. MMAsia Workshops Yue Han, Shuanghe Zhu, Yuqing Zhang, Hangqi Li, Baoyi He, Shengyu Zhang, Huaiyong Dou, Junchi Yan, Zemin Liu, Yongquan Zhang, Fei Wu
2024	J	`jnl`	Decentralized Transformers with Centralized Aggregation are Sample-Efficient Multi-Agent World Models. CoRR Yang Zhang, Chenjia Bai, Bin Zhao, Junchi Yan, Xiu Li, Xuelong Li
2024	J	`jnl`	Derail Yourself: Multi-turn LLM Jailbreak Attack through Self-discovered Clues. CoRR Qibing Ren, Hao Li, Dongrui Liu, Zhanxu Xie, Xiaoya Lu, Yu Qiao, Lei Sha, Junchi Yan, Lizhuang Ma, Jing Shao
2024	J	`jnl`	DiFSD: Ego-Centric Fully Sparse Paradigm with Uncertainty Denoising and Iterative Refinement for Efficient End-to-End Autonomous Driving. CoRR Haisheng Su, Wei Wu, Junchi Yan
2024	J	`jnl`	DocGenome: An Open Large-scale Scientific Document Benchmark for Training and Testing Multi-modal Large Language Models. CoRR Renqiu Xia, Song Mao, Xiangchao Yan, Hongbin Zhou, Bo Zhang, Haoyang Peng, Jiahao Pi, Daocheng Fu, Wenjie Wu, Hancheng Ye, Shiyang Feng, Bin Wang, Chao Xu, Conghui He, Pinlong Cai, Min Dou, Botian Shi, Sheng Zhou, Yongwei Wang, Junchi Yan, Fei Wu, Yu Qiao
2024	A*	`conf`	Double-Bounded Optimal Transport for Advanced Clustering and Classification. AAAI Liangliang Shi, Zhaoqi Shen, Junchi Yan
2024	J	`jnl`	Double-Bounded Optimal Transport for Advanced Clustering and Classification. CoRR Liangliang Shi, Zhaoqi Shen, Junchi Yan
2024	A*	`conf`	Dynamic Reactive Spiking Graph Neural Network. AAAI Han Zhao, Xu Yang, Cheng Deng, Junchi Yan
2024	A*	`conf`	EBMDock: Neural Probabilistic Protein-Protein Docking via a Differentiable Energy Model. ICLR Huaijin Wu, Wei Liu, Yatao Bian, Jiaxiang Wu, Nianzu Yang, Junchi Yan
2024	J	`jnl`	EasyDGL: Encode, Train and Interpret for Continuous-Time Dynamic Graph Learning. IEEE Trans. Pattern Anal. Mach. Intell. Chao Chen, Haoyu Geng, Nianzu Yang, Xiaokang Yang, Junchi Yan
2024	Misc	`conf`	Efficient Architecture Search for Real-Time Instance Segmentation. ICASSP Renqiu Xia, Dongyuan Zhang, Yixin Dong, Juanping Zhao, Wenlong Liao, Tao He, Junchi Yan
2024	J	`jnl`	Erratum to: Large circuit models: opportunities and challenges. Sci. China Inf. Sci. Lei Chen, Yiqi Chen, Zhufei Chu, Wenji Fang, Tsung-Yi Ho, Ru Huang, Yu Huang, Sadaf Khan, Min Li, Xingquan Li, Yu Li, Yun Liang, Jinwei Liu, Yi Liu, Yibo Lin, Guojie Luo, Hongyang Pan, Zhengyuan Shi, Guangyu Sun, Dimitrios Tsaras, Runsheng Wang, Ziyi Wang, Xinming Wei, Zhiyao Xie, Qiang Xu, Chenhao Xue, Junchi Yan, Jun Yang, Bei Yu, Mingxuan Yuan, Evangeline F. Y. Young, Xuan Zeng, Haoyi Zhang, Zuodong Zhang, Yuxiang Zhao, Hui-Ling Zhen, Ziyang Zheng, Binwu Zhu, Keren Zhu, Sunan Zou
2024	J	`jnl`	Exploiting Unlabeled Data with Multiple Expert Teachers for Open Vocabulary Aerial Object Detection and Its Orientation Adaptation. CoRR Yan Li, Weiwei Guo, Xue Yang, Ning Liao, Shaofeng Zhang, Yi Yu, Wenxian Yu, Junchi Yan
2024	J	`jnl`	Exploring Safety Generalization Challenges of Large Language Models via Code. CoRR Qibing Ren, Chang Gao, Jing Shao, Junchi Yan, Xin Tan, Yu Qiao, Wai Lam, Lizhuang Ma
2024	A*	`conf`	Fast T2T: Optimization Consistency Speeds Up Diffusion-Based Training-to-Testing Solving for Combinatorial Optimization. NeurIPS Yang Li, Jinpei Guo, Runzhong Wang, Hongyuan Zha, Junchi Yan
2024	J	`jnl`	Fast and Interpretable 2D Homography Decomposition: Similarity-Kernel-Similarity and Affine-Core-Affine Transformations. CoRR Shen Cai, Zhanhao Wu, Lingxi Guo, Jiachun Wang, Siyu Zhang, Junchi Yan, Shuhan Shen
2024	J	`jnl`	FlatFusion: Delving into Details of Sparse Transformer-based Camera-LiDAR Fusion for Autonomous Driving. CoRR Yutao Zhu, Xiaosong Jia, Xinyu Yang, Junchi Yan
2024	A*	`conf`	FlexPlanner: Flexible 3D Floorplanning via Deep Reinforcement Learning in Hybrid Action Space with Multi-Modality Representation. NeurIPS Ruizhe Zhong, Xingbo Du, Shixiong Kai, Zhentao Tang, Siyuan Xu, Jianye Hao, Mingxuan Yuan, Junchi Yan
2024	Misc	`conf`	GMTR: Graph Matching Transformers. ICASSP Jinpei Guo, Shaofeng Zhang, Runzhong Wang, Chang Liu, Junchi Yan
2024	J	`jnl`	GSINA: Improving Subgraph Extraction for Graph Invariant Learning via Graph Sinkhorn Attention. CoRR Fangyu Ding, Haiyang Wang, Zhixuan Chu, Tianming Li, Zhaoping Hu, Junchi Yan
2024	A*	`conf`	GeoMix: Towards Geometry-Aware Data Augmentation. KDD Wentao Zhao, Qitian Wu, Chenxiao Yang, Junchi Yan
2024	J	`jnl`	GeoMix: Towards Geometry-Aware Data Augmentation. CoRR Wentao Zhao, Qitian Wu, Chenxiao Yang, Junchi Yan
2024	J	`jnl`	GeoX: Geometric Problem Solving Through Unified Formalized Vision-Language Pre-training. CoRR 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
2024	A*	`conf`	Going Beyond Neural Network Feature Similarity: The Network Feature Complexity and Its Interpretation Using Category Theory. ICLR Yiting Chen, Zhanpeng Zhou, Junchi Yan
2024	A*	`conf`	Graph Out-of-Distribution Detection Goes Neighborhood Shaping. ICML Tianyi Bao, Qitian Wu, Zetian Jiang, Yiting Chen, Jiawei Sun, Junchi Yan
2024	A*	`conf`	Graph Out-of-Distribution Generalization via Causal Intervention. WWW Qitian Wu, Fan Nie, Chenxiao Yang, Tianyi Bao, Junchi Yan
2024	J	`jnl`	Graph Out-of-Distribution Generalization via Causal Intervention. CoRR Qitian Wu, Fan Nie, Chenxiao Yang, Tianyi Bao, Junchi Yan
2024	A*	`conf`	Grounding and Enhancing Grid-based Models for Neural Fields. CVPR Zelin Zhao, Fenglei Fan, Wenlong Liao, Junchi Yan
2024	J	`jnl`	Grounding and Enhancing Grid-based Models for Neural Fields. CoRR Zelin Zhao, Fenglei Fan, Wenlong Liao, Junchi Yan
2024	A*	`conf`	How Graph Neural Networks Learn: Lessons from Training Dynamics. ICML Chenxiao Yang, Qitian Wu, David Wipf, Ruoyu Sun, Junchi Yan
2024	A*	`conf`	InterpGNN: Understand and Improve Generalization Ability of Transdutive GNNs through the Lens of Interplay between Train and Test Nodes. ICLR Jiawei Sun, Kailai Li, Ruoxin Chen, Jie Li, Chentao Wu, Yue Ding, Junchi Yan
2024	A	`conf`	JigsawPlanner: Jigsaw-like Floorplanner for Eliminating Whitespace and Overlap among Complex Rectilinear Modules. ICCAD Xingbo Du, Ruizhe Zhong, Shixiong Kai, Zhentao Tang, Siyuan Xu, Jianye Hao, Mingxuan Yuan, Junchi Yan
2024	J	`jnl`	Knowledge Graph Supported Benchmark and Video Captioning for Basketball. CoRR Zeyu Xi, Ge Shi, Lifang Wu, Xuefen Li, Junchi Yan, Liang Wang, Zilin Liu
2024	A*	`conf`	L2P-MIP: Learning to Presolve for Mixed Integer Programming. ICLR Chang Liu, Zhichen Dong, Haobo Ma, Weilin Luo, Xijun Li, Bowen Pang, Jia Zeng, Junchi Yan
2024	J	`jnl`	LLM4EDA: Emerging Progress in Large Language Models for Electronic Design Automation. CoRR Ruizhe Zhong, Xingbo Du, Shixiong Kai, Zhentao Tang, Siyuan Xu, Hui-Ling Zhen, Jianye Hao, Qiang Xu, Mingxuan Yuan, Junchi Yan
2024	—	`conf`	LLMCO4MR: LLMs-Aided Neural Combinatorial Optimization for Ancient Manuscript Restoration from Fragments with Case Studies on Dunhuang. ECCV (75) Yuqing Zhang, Hangqi Li, Shengyu Zhang, Runzhong Wang, Baoyi He, Huaiyong Dou, Junchi Yan, Yongquan Zhang, Fei Wu
2024	A*	`conf`	LaneSegNet: Map Learning with Lane Segment Perception for Autonomous Driving. ICLR Tianyu Li, Peijin Jia, Bangjun Wang, Li Chen, Kun Jiang, Junchi Yan, Hongyang Li
2024	J	`jnl`	Large circuit models: opportunities and challenges. Sci. China Inf. Sci. Lei Chen, Yiqi Chen, Zhufei Chu, Wenji Fang, Tsung-Yi Ho, Ru Huang, Yu Huang, Sadaf Khan, Min Li, Xingquan Li, Yu Li, Yun Liang, Jinwei Liu, Yi Liu, Yibo Lin, Guojie Luo, Hongyang Pan, Zhengyuan Shi, Guangyu Sun, Dimitrios Tsaras, Runsheng Wang, Ziyi Wang, Xinming Wei, Zhiyao Xie, Qiang Xu, Chenhao Xue, Junchi Yan, Jun Yang, Bei Yu, Mingxuan Yuan, Evangeline F. Y. Young, Xuan Zeng, Haoyi Zhang, Zuodong Zhang, Yuxiang Zhao, Hui-Ling Zhen, Ziyang Zheng, Binwu Zhu, Keren Zhu, Sunan Zou
2024	A*	`conf`	Learning Divergence Fields for Shift-Robust Graph Representations. ICML Qitian Wu, Fan Nie, Chenxiao Yang, Junchi Yan
2024	J	`jnl`	Learning Divergence Fields for Shift-Robust Graph Representations. CoRR Qitian Wu, Fan Nie, Chenxiao Yang, Junchi Yan
2024	A*	`conf`	Learning Plaintext-Ciphertext Cryptographic Problems via ANF-based SAT Instance Representation. NeurIPS Xinhao Zheng, Yang Li, Cunxin Fan, Huaijin Wu, Xinhao Song, Junchi Yan
2024	J	`jnl`	Learning to Solve Combinatorial Optimization under Positive Linear Constraints via Non-Autoregressive Neural Networks. CoRR Runzhong Wang, Yang Li, Junchi Yan, Xiaokang Yang
2024	A*	`conf`	Leveraging Hallucinations to Reduce Manual Prompt Dependency in Promptable Segmentation. NeurIPS Jian Hu, Jiayi Lin, Junchi Yan, Shaogang Gong
2024	J	`jnl`	Leveraging Hallucinations to Reduce Manual Prompt Dependency in Promptable Segmentation. CoRR Jian Hu, Jiayi Lin, Junchi Yan, Shaogang Gong
2024	J	`jnl`	LinSATNet: The Positive Linear Satisfiability Neural Networks. CoRR Runzhong Wang, Yunhao Zhang, Ziao Guo, Tianyi Chen, Xiaokang Yang, Junchi Yan
2024	A*	`conf`	M3C: A Framework towards Convergent, Flexible, and Unsupervised Learning of Mixture Graph Matching and Clustering. ICLR Jiaxin Lu, Zetian Jiang, Tianzhe Wang, Junchi Yan
2024	A*	`conf`	MILP-FBGen: LP/MILP Instance Generation with Feasibility/Boundedness. ICML Yahong Zhang, Chenchen Fan, Donghui Chen, Congrui Li, Wenli Ouyang, Mingda Zhu, Junchi Yan
2024	J	`jnl`	Machine Learning Insides OptVerse AI Solver: Design Principles and Applications. CoRR Xijun Li, Fangzhou Zhu, Hui-Ling Zhen, Weilin Luo, Meng Lu, Yimin Huang, Zhenan Fan, Zirui Zhou, Yufei Kuang, Zhihai Wang, Zijie Geng, Yang Li, Haoyang Liu, Zhiwu An, Muming Yang, Jianshu Li, Jie Wang, Junchi Yan, Defeng Sun, Tao Zhong, Yong Zhang, Jia Zeng, Mingxuan Yuan, Jianye Hao, Jun Yao, Kun Mao
2024	—	`conf`	Message from the Program Chairs ICEBE 2024. ICEBE Omar Khadeer Hussain, Junchi Yan, Shang-Pin Ma, Salem Alkhalaf, Osama Alfarraj
2024	—	`conf`	Message from the Technical Program Chairs: IEEE BDS 2024. BigDataService Hiroyuki Fujioka, Katerina Potika, Junchi Yan
2024	A*	`conf`	MixSATGEN: Learning Graph Mixing for SAT Instance Generation. ICLR Xinyan Chen, Yang Li, Runzhong Wang, Junchi Yan
2024	A*	`conf`	MorphGrower: A Synchronized Layer-by-layer Growing Approach for Plausible Neuronal Morphology Generation. ICML Nianzu Yang, Kaipeng Zeng, Haotian Lu, Yexin Wu, Zexin Yuan, Danni Chen, Shengdian Jiang, Jiaxiang Wu, Yimin Wang, Junchi Yan
2024	J	`jnl`	MorphGrower: A Synchronized Layer-by-layer Growing Approach for Plausible Neuronal Morphology Generation. CoRR Nianzu Yang, Kaipeng Zeng, Haotian Lu, Yexin Wu, Zexin Yuan, Danni Chen, Shengdian Jiang, Jiaxiang Wu, Yimin Wang, Junchi Yan
2024	J	`jnl`	NCMNet: Neighbor Consistency Mining Network for Two-View Correspondence Pruning. IEEE Trans. Pattern Anal. Mach. Intell. Xin Liu, Rong Qin, Junchi Yan, Jufeng Yang
2024	J	`jnl`	Neural Message Passing Induced by Energy-Constrained Diffusion. CoRR Qitian Wu, David Wipf, Junchi Yan
2024	A*	`conf`	Node2ket: Efficient High-Dimensional Network Embedding in Quantum Hilbert Space. ICLR Hao Xiong, Yehui Tang, Yunlin He, Wei Tan, Junchi Yan
2024	—	`conf`	Not All Experts are Equal: Efficient Expert Pruning and Skipping for Mixture-of-Experts Large Language Models. ACL (1) Xudong Lu, Qi Liu, Yuhui Xu, Aojun Zhou, Siyuan Huang, Bo Zhang, Junchi Yan, Hongsheng Li
2024	J	`jnl`	Not All Experts are Equal: Efficient Expert Pruning and Skipping for Mixture-of-Experts Large Language Models. CoRR Xudong Lu, Qi Liu, Yuhui Xu, Aojun Zhou, Siyuan Huang, Bo Zhang, Junchi Yan, Hongsheng Li
2024	J	`jnl`	Not All Samples Should Be Utilized Equally: Towards Understanding and Improving Dataset Distillation. CoRR Shaobo Wang, Yantai Yang, Qilong Wang, Kaixin Li, Linfeng Zhang, Junchi Yan
2024	A*	`conf`	OT-CLIP: Understanding and Generalizing CLIP via Optimal Transport. ICML Liangliang Shi, Jack Fan, Junchi Yan
2024	A	`conf`	On Reducing the Execution Latency of Superconducting Quantum Processors via Quantum Job Scheduling. ICCAD Wenjie Wu, Yiquan Wang, Ge Yan, Yuming Zhao, Bo Zhang, Junchi Yan
2024	J	`jnl`	On Reducing the Execution Latency of Superconducting Quantum Processors via Quantum Program Scheduling. CoRR Wenjie Wu, Yiquan Wang, Ge Yan, Yuming Zhao, Junchi Yan
2024	A*	`conf`	On the Emergence of Cross-Task Linearity in Pretraining-Finetuning Paradigm. ICML Zhanpeng Zhou, Zijun Chen, Yilan Chen, Bo Zhang, Junchi Yan
2024	J	`jnl`	Optimal Control Operator Perspective and a Neural Adaptive Spectral Method. CoRR Mingquan Feng, Zhijie Chen, Yixin Huang, Yizhou Liu, Junchi Yan
2024	A*	`conf`	PCP-MAE: Learning to Predict Centers for Point Masked Autoencoders. NeurIPS Xiangdong Zhang, Shaofeng Zhang, Junchi Yan
2024	J	`jnl`	PCP-MAE: Learning to Predict Centers for Point Masked Autoencoders. CoRR Xiangdong Zhang, Shaofeng Zhang, Junchi Yan
2024	A*	`conf`	PhiloGPT: A Philology-Oriented Large Language Model for Ancient Chinese Manuscripts with Dunhuang as Case Study. EMNLP Yuqing Zhang, Baoyi He, Yihan Chen, Hangqi Li, Han Yue, Shengyu Zhang, Huaiyong Dou, Junchi Yan, Zemin Liu, Yongquan Zhang, Fei Wu
2024	A*	`conf`	Point2RBox: Combine Knowledge from Synthetic Visual Patterns for End-to-End Oriented Object Detection with Single Point Supervision. CVPR Yi Yu, Xue Yang, Qingyun Li, Feipeng Da, Jifeng Dai, Yu Qiao, Junchi Yan
2024	A*	`conf`	PointOBB: Learning Oriented Object Detection via Single Point Supervision. CVPR Junwei Luo, Xue Yang, Yi Yu, Qingyun Li, Junchi Yan, Yansheng Li
2024	J	`jnl`	Poisson Process for Bayesian Optimization. CoRR Xiaoxing Wang, Jiaxing Li, Chao Xue, Wei Liu, Weifeng Liu, Xiaokang Yang, Junchi Yan, Dacheng Tao
2024	A*	`conf`	PreRoutGNN for Timing Prediction with Order Preserving Partition: Global Circuit Pre-training, Local Delay Learning and Attentional Cell Modeling. AAAI Ruizhe Zhong, Junjie Ye, Zhentao Tang, Shixiong Kai, Mingxuan Yuan, Jianye Hao, Junchi Yan
2024	J	`jnl`	PreRoutGNN for Timing Prediction with Order Preserving Partition: Global Circuit Pre-training, Local Delay Learning and Attentional Cell Modeling. CoRR Ruizhe Zhong, Junjie Ye, Zhentao Tang, Shixiong Kai, Mingxuan Yuan, Jianye Hao, Junchi Yan
2024	J	`jnl`	Progressive reinforcement learning for video summarization. Inf. Sci. Guolong Wang, Xun Wu, Junchi Yan
2024	J	`jnl`	Pygmtools: A Python Graph Matching Toolkit. J. Mach. Learn. Res. 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
2024	A*	`conf`	QVAE-Mole: The Quantum VAE with Spherical Latent Variable Learning for 3-D Molecule Generation. NeurIPS Huaijin Wu, Xinyu Ye, Junchi Yan
2024	J	`jnl`	Quantum Circuit Synthesis and Compilation Optimization: Overview and Prospects. CoRR Ge Yan, Wenjie Wu, Chen Yuheng, Kaisen Pan, Xudong Lu, Zhou Zixiang, Wang Yuhan, Ruocheng Wang, Junchi Yan
2024	J	`jnl`	Re-TASK: Revisiting LLM Tasks from Capability, Skill, and Knowledge Perspectives. CoRR Zhihu Wang, Shiwan Zhao, Yu Wang, Heyuan Huang, Jiaxin Shi, Sitao Xie, Zhixing Wang, Yubo Zhang, Hongyan Li, Junchi Yan
2024	A*	`conf`	ReLIZO: Sample Reusable Linear Interpolation-based Zeroth-order Optimization. NeurIPS Xiaoxing Wang, Xiaohan Qin, Xiaokang Yang, Junchi Yan
2024	A*	`conf`	ReSimAD: Zero-Shot 3D Domain Transfer for Autonomous Driving with Source Reconstruction and Target Simulation. ICLR 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	J	`jnl`	Rethinking Classifier Re-Training in Long-Tailed Recognition: A Simple Logits Retargeting Approach. CoRR Han Lu, Siyu Sun, Yichen Xie, Liqing Zhang, Xiaokang Yang, Junchi Yan
2024	A*	`conf`	Rethinking Cross-Domain Sequential Recommendation under Open-World Assumptions. WWW Wujiang Xu, Qitian Wu, Runzhong Wang, Mingming Ha, Qiongxu Ma, Linxun Chen, Bing Han, Junchi Yan
2024	A*	`conf`	Rethinking Parity Check Enhanced Symmetry-Preserving Ansatz. NeurIPS Ge Yan, Mengfei Ran, Ruocheng Wang, Kaisen Pan, Junchi Yan
2024	A*	`conf`	Rethinking the symmetry-preserving circuits for constrained variational quantum algorithms. ICLR Ge Yan, Hongxu Chen, Kaisen Pan, Junchi Yan
2024	J	`jnl`	SGFormer: Single-Layer Graph Transformers with Approximation-Free Linear Complexity. CoRR Qitian Wu, Kai Yang, Hengrui Zhang, David Wipf, Junchi Yan
2024	A*	`conf`	SSL4Q: Semi-Supervised Learning of Quantum Data with Application to Quantum State Classification. ICML Yehui Tang, Nianzu Yang, Mabiao Long, Junchi Yan
2024	J	`jnl`	ScaleGCN: Efficient and Effective Graph Convolution via Channel-Wise Scale Transformation. IEEE Trans. Neural Networks Learn. Syst. Tianqi Zhang, Qitian Wu, Junchi Yan, Yunan Zhao, Bing Han
2024	J	`jnl`	Scene Graph Generation in Large-Size VHR Satellite Imagery: A Large-Scale Dataset and A Context-Aware Approach. CoRR Yansheng Li, Linlin Wang, Tingzhu Wang, Xue Yang, Junwei Luo, Qi Wang, Youming Deng, Wenbin Wang, Xian Sun, Haifeng Li, Bo Dang, Yongjun Zhang, Yi Yu, Junchi Yan
2024	J	`jnl`	Sharpness-Aware Minimization Efficiently Selects Flatter Minima Late in Training. CoRR Zhanpeng Zhou, Mingze Wang, Yuchen Mao, Bingrui Li, Junchi Yan
2024	J	`jnl`	TerDiT: Ternary Diffusion Models with Transformers. CoRR Xudong Lu, Aojun Zhou, Ziyi Lin, Qi Liu, Yuhui Xu, Renrui Zhang, Yafei Wen, Shuai Ren, Peng Gao, Junchi Yan, Hongsheng Li
2024	A*	`conf`	Theoretically Achieving Continuous Representation of Oriented Bounding Boxes. CVPR Zi-Kai Xiao, Guo-Ye Yang, Xue Yang, Tai-Jiang Mu, Junchi Yan, Shi-Min Hu
2024	J	`jnl`	Theoretically Achieving Continuous Representation of Oriented Bounding Boxes. CoRR Zi-Kai Xiao, Guo-Ye Yang, Xue Yang, Tai-Jiang Mu, Junchi Yan, Shi-Min Hu
2024	J	`jnl`	Think2Drive: Efficient Reinforcement Learning by Thinking in Latent World Model for Quasi-Realistic Autonomous Driving (in CARLA-v2). CoRR Qifeng Li, Xiaosong Jia, Shaobo Wang, Junchi Yan
2024	—	`conf`	Think2Drive: Efficient Reinforcement Learning by Thinking with Latent World Model for Autonomous Driving (in CARLA-V2). ECCV (45) Qifeng Li, Xiaosong Jia, Shaobo Wang, Junchi Yan
2024	A*	`conf`	Towards General Loop Invariant Generation: A Benchmark of Programs with Memory Manipulation. NeurIPS Chang Liu, Xiwei Wu, Yuan Feng, Qinxiang Cao, Junchi Yan
2024	A*	`conf`	Towards Imitation Learning to Branch for MIP: A Hybrid Reinforcement Learning based Sample Augmentation Approach. ICLR Changwen Zhang, Wenli Ouyang, Hao Yuan, Liming Gong, Yong Sun, Ziao Guo, Zhichen Dong, Junchi Yan
2024	A*	`conf`	Towards LLM4QPE: Unsupervised Pretraining of Quantum Property Estimation and A Benchmark. ICLR Yehui Tang, Hao Xiong, Nianzu Yang, Tailong Xiao, Junchi Yan
2024	J	`jnl`	Towards Vision-Language Geo-Foundation Model: A Survey. CoRR Yue Zhou, Litong Feng, Yiping Ke, Xue Jiang, Junchi Yan, Xue Yang, Wayne Zhang
2024	A*	`conf`	Training-Free Adaptive Diffusion with Bounded Difference Approximation Strategy. NeurIPS Hancheng Ye, Jiakang Yuan, Renqiu Xia, Xiangchao Yan, Tao Chen, Junchi Yan, Botian Shi, Bo Zhang
2024	J	`jnl`	Training-Free Adaptive Diffusion with Bounded Difference Approximation Strategy. CoRR Hancheng Ye, Jiakang Yuan, Renqiu Xia, Xiangchao Yan, Tao Chen, Junchi Yan, Botian Shi, Bo Zhang
2024	A*	`conf`	UP2ME: Univariate Pre-training to Multivariate Fine-tuning as a General-purpose Framework for Multivariate Time Series Analysis. ICML Yunhao Zhang, Minghao Liu, Shengyang Zhou, Junchi Yan
2024	A*	`conf`	Unveiling The Matthew Effect Across Channels: Assessing Layer Width Sufficiency via Weight Norm Variance. NeurIPS Yiting Chen, Jiazi Bu, Junchi Yan
2024	A*	`conf`	ViTree: Single-Path Neural Tree for Step-Wise Interpretable Fine-Grained Visual Categorization. AAAI Danning Lao, Qi Liu, Jiazi Bu, Junchi Yan, Wei Shen
2024	J	`jnl`	ViTree: Single-path Neural Tree for Step-wise Interpretable Fine-grained Visual Categorization. CoRR Danning Lao, Qi Liu, Jiazi Bu, Junchi Yan, Wei Shen
2024	Misc	`conf`	View Crafting For Instance-Level Representation from Scene Images. ICASSP Bin Liu, Yuchen Luo, Shaofeng Zhang, Zehuan Yuan, Changdong Xu, Boan Chen, Junchi Yan
2024	A*	`conf`	What Rotary Position Embedding Can Tell Us: Identifying Query and Key Weights Corresponding to Basic Syntactic or High-level Semantic Information. NeurIPS Yiting Chen, Junchi Yan
2023	J	`jnl`	A survey for solving mixed integer programming via machine learning. Neurocomputing Jiayi Zhang, Chang Liu, Xijun Li, Hui-Ling Zhen, Mingxuan Yuan, Yawen Li, Junchi Yan
2023	J	`jnl`	ARS-DETR: Aspect Ratio Sensitive Oriented Object Detection with Transformer. CoRR Ying Zeng, Xue Yang, Qingyun Li, Yushi Chen, Junchi Yan
2023	A*	`conf`	Active Finetuning: Exploiting Annotation Budget in the Pretraining-Finetuning Paradigm. CVPR Yichen Xie, Han Lu, Junchi Yan, Xiaokang Yang, Masayoshi Tomizuka, Wei Zhan
2023	J	`jnl`	Active Finetuning: Exploiting Annotation Budget in the Pretraining-Finetuning Paradigm. CoRR Yichen Xie, Han Lu, Junchi Yan, Xiaokang Yang, Masayoshi Tomizuka, Wei Zhan
2023	—	`conf`	Adaptable Conservative Q-Learning for Offline Reinforcement Learning. PRCV (3) Lyn Qiu, Xu Li, Lenghan Liang, Mingming Sun, Junchi Yan
2023	—	`conf`	Adaptive Embedding and Distribution Re-margin for Long-Tail Recognition. ICANN (8) Yulin Su, Boan Chen, Ziming Feng, Junchi Yan
2023	B	`conf`	Adaptive Semi-Supervised Mixup with Implicit Label Learning and Sample Ratio Balancing. ICIP Yulin Su, Liangliang Shi, Ziming Feng, Pengzhi Chu, Junchi Yan
2023	J	`jnl`	Advective Diffusion Transformers for Topological Generalization in Graph Learning. CoRR Qitian Wu, Chenxiao Yang, Kaipeng Zeng, Fan Nie, Michael M. Bronstein, Junchi Yan
2023	A*	`conf`	C-NTPP: Learning Cluster-Aware Neural Temporal Point Process. AAAI Fangyu Ding, Junchi Yan, Haiyang Wang
2023	J	`jnl`	Combinatorial Learning of Robust Deep Graph Matching: An Embedding Based Approach. IEEE Trans. Pattern Anal. Mach. Intell. Runzhong Wang, Junchi Yan, Xiaokang Yang
2023	A*	`conf`	Contextual Image Masking Modeling via Synergized Contrasting without View Augmentation for Faster and Better Visual Pretraining. ICLR Shaofeng Zhang, Feng Zhu, Rui Zhao, Junchi Yan
2023	A*	`conf`	Crossformer: Transformer Utilizing Cross-Dimension Dependency for Multivariate Time Series Forecasting. ICLR Yunhao Zhang, Junchi Yan
2023	A*	`conf`	DIFFormer: Scalable (Graph) Transformers Induced by Energy Constrained Diffusion. ICLR Qitian Wu, Chenxiao Yang, Wentao Zhao, Yixuan He, David Wipf, Junchi Yan
2023	J	`jnl`	DIFFormer: Scalable (Graph) Transformers Induced by Energy Constrained Diffusion. CoRR Qitian Wu, Chenxiao Yang, Wentao Zhao, Yixuan He, David Wipf, Junchi Yan
2023	J	`jnl`	DIY Your EasyNAS for Vision: Convolution Operation Merging, Map Channel Reducing, and Search Space to Supernet Conversion Tooling. IEEE Trans. Pattern Anal. Mach. Intell. Xiaoxing Wang, Zhirui Lian, Jiale Lin, Chao Xue, Junchi Yan
2023	A*	`conf`	Deep Learning of Partial Graph Matching via Differentiable Top-K. CVPR Runzhong Wang, Ziao Guo, Shaofei Jiang, Xiaokang Yang, Junchi Yan
2023	J	`jnl`	Detecting Rotated Objects as Gaussian Distributions and its 3-D Generalization. IEEE Trans. Pattern Anal. Mach. Intell. Xue Yang, Gefan Zhang, Xiaojiang Yang, Yue Zhou, Wentao Wang, Jin Tang, Tao He, Junchi Yan
2023	A*	`conf`	Discovering Temporal Patterns for Event Sequence Clustering via Policy Mixture Model (Extended Abstract). ICDE Weichang Wu, Junchi Yan, Xiaokang Yang, Hongyuan Zha
2023	A*	`conf`	Distilling Focal Knowledge from Imperfect Expert for 3D Object Detection. CVPR Jia Zeng, Li Chen, Hanming Deng, Lewei Lu, Junchi Yan, Yu Qiao, Hongyang Li
2023	A*	`conf`	DriveAdapter: Breaking the Coupling Barrier of Perception and Planning in End-to-End Autonomous Driving. ICCV Xiaosong Jia, Yulu Gao, Li Chen, Junchi Yan, Patrick Langechuan Liu, Hongyang Li
2023	J	`jnl`	DriveAdapter: Breaking the Coupling Barrier of Perception and Planning in End-to-End Autonomous Driving. CoRR Xiaosong Jia, Yulu Gao, Li Chen, Junchi Yan, Patrick Langechuan Liu, Hongyang Li
2023	J	`jnl`	EasyDGL: Encode, Train and Interpret for Continuous-time Dynamic Graph Learning. CoRR Chao Chen, Haoyu Geng, Nianzu Yang, Xiaokang Yang, Junchi Yan
2023	A	`conf`	EasyMap: Improving Technology Mapping via Exploration-Enhanced Heuristics and Adaptive Sequencing. ICCAD Peiyu Wang, Anqi Lu, Xing Li, Junjie Ye, Lei Chen, Mingxuan Yuan, Jianye Hao, Junchi Yan
2023	A	`conf`	EasySO: Exploration-enhanced Reinforcement Learning for Logic Synthesis Sequence Optimization and a Comprehensive RL Environment. ICCAD Jianyong Yuan, Peiyu Wang, Junjie Ye, Mingxuan Yuan, Jianye Hao, Junchi Yan
2023	A*	`conf`	Energy-based Out-of-Distribution Detection for Graph Neural Networks. ICLR Qitian Wu, Yiting Chen, Chenxiao Yang, Junchi Yan
2023	J	`jnl`	Energy-based Out-of-Distribution Detection for Graph Neural Networks. CoRR Qitian Wu, Yiting Chen, Chenxiao Yang, Junchi Yan
2023	J	`jnl`	F2A2: Flexible Fully-decentralized Approximate Actor-critic for Cooperative Multi-agent Reinforcement Learning. J. Mach. Learn. Res. Wenhao Li, Bo Jin, Xiangfeng Wang, Junchi Yan, Hongyuan Zha
2023	A*	`conf`	Fine-Grained Music Plagiarism Detection: Revealing Plagiarists through Bipartite Graph Matching and a Comprehensive Large-Scale Dataset. ACM Multimedia Wenxuan Liu, Tianyao He, Chen Gong, Ning Zhang, Hua Yang, Junchi Yan
2023	A*	`conf`	From Distribution Learning in Training to Gradient Search in Testing for Combinatorial Optimization. NeurIPS Yang Li, Jinpei Guo, Runzhong Wang, Junchi Yan
2023	A*	`conf`	GAL-VNE: Solving the VNE Problem with Global Reinforcement Learning and Local One-Shot Neural Prediction. KDD Haoyu Geng, Runzhong Wang, Fei Wu, Junchi Yan
2023	J	`jnl`	GMTR: Graph Matching Transformers. CoRR Jinpei Guo, Shaofeng Zhang, Runzhong Wang, Chang Liu, Junchi Yan
2023	J	`jnl`	Geometric-aware Pretraining for Vision-centric 3D Object Detection. CoRR Linyan Huang, Huijie Wang, Jia Zeng, Shengchuan Zhang, Liujuan Cao, Junchi Yan, Hongyang Li
2023	A*	`conf`	Going Beyond Linear Mode Connectivity: The Layerwise Linear Feature Connectivity. NeurIPS Zhanpeng Zhou, Yongyi Yang, Xiaojiang Yang, Junchi Yan, Wei Hu
2023	J	`jnl`	Going Beyond Linear Mode Connectivity: The Layerwise Linear Feature Connectivity. CoRR Zhanpeng Zhou, Yongyi Yang, Xiaojiang Yang, Junchi Yan, Wei Hu
2023	J	`jnl`	Going Beyond Neural Network Feature Similarity: The Network Feature Complexity and Its Interpretation Using Category Theory. CoRR Yiting Chen, Zhanpeng Zhou, Junchi Yan
2023	A*	`conf`	Graph Neural Networks are Inherently Good Generalizers: Insights by Bridging GNNs and MLPs. ICLR Chenxiao Yang, Qitian Wu, Jiahua Wang, Junchi Yan
2023	A*	`conf`	Graph Signal Sampling for Inductive One-Bit Matrix Completion: a Closed-form Solution. ICLR Chao Chen, Haoyu Geng, Gang Zeng, Zhaobing Han, Hua Chai, Xiaokang Yang, Junchi Yan
2023	J	`jnl`	Graph Signal Sampling for Inductive One-Bit Matrix Completion: a Closed-form Solution. CoRR Chao Chen, Haoyu Geng, Gang Zeng, Zhaobing Han, Hua Chai, Xiaokang Yang, Junchi Yan
2023	A*	`conf`	GraphGLOW: Universal and Generalizable Structure Learning for Graph Neural Networks. KDD Wentao Zhao, Qitian Wu, Chenxiao Yang, Junchi Yan
2023	J	`jnl`	GraphGLOW: Universal and Generalizable Structure Learning for Graph Neural Networks. CoRR Wentao Zhao, Qitian Wu, Chenxiao Yang, Junchi Yan
2023	J	`jnl`	Guest Editorial Robust Learning of Spatio-Temporal Point Processes: Modeling, Algorithm, and Applications. IEEE Trans. Neural Networks Learn. Syst. Junchi Yan, Hongteng Xu, Liangda Li, Mehrdad Farajtabar, Xiaokang Yang
2023	J	`jnl`	H2RBox-v2: Boosting HBox-supervised Oriented Object Detection via Symmetric Learning. CoRR Yi Yu, Xue Yang, Qingyun Li, Yue Zhou, Gefan Zhang, Feipeng Da, Junchi Yan
2023	A*	`conf`	H2RBox-v2: Incorporating Symmetry for Boosting Horizontal Box Supervised Oriented Object Detection. NeurIPS Yi Yu, Xue Yang, Qingyun Li, Yue Zhou, Feipeng Da, Junchi Yan
2023	A*	`conf`	H2RBox: Horizontal Box Annotation is All You Need for Oriented Object Detection. ICLR Xue Yang, Gefan Zhang, Wentong Li, Yue Zhou, Xuehui Wang, Junchi Yan
2023	J	`jnl`	HDGT: Heterogeneous Driving Graph Transformer for Multi-Agent Trajectory Prediction via Scene Encoding. IEEE Trans. Pattern Anal. Mach. Intell. Xiaosong Jia, Penghao Wu, Li Chen, Yu Liu, Hongyang Li, Junchi Yan
2023	J	`jnl`	HIORE: Leveraging High-order Interactions for Unified Entity Relation Extraction. CoRR Yijun Wang, Changzhi Sun, Yuanbin Wu, Lei Li, Junchi Yan, Hao Zhou
2023	—	`conf`	HSA: Hyperbolic Self-attention for Sequential Recommendation. APWeb/WAIM (3) Peizhong Hou, Haiyang Wang, Tianming Li, Junchi Yan
2023	A*	`conf`	HardSATGEN: Understanding the Difficulty of Hard SAT Formula Generation and A Strong Structure-Hardness-Aware Baseline. KDD Yang Li, Xinyan Chen, Wenxuan Guo, Xijun Li, Wanqian Luo, Junhua Huang, Hui-Ling Zhen, Mingxuan Yuan, Junchi Yan
2023	J	`jnl`	How Graph Neural Networks Learn: Lessons from Training Dynamics in Function Space. CoRR Chenxiao Yang, Qitian Wu, David Wipf, Ruoyu Sun, Junchi Yan
2023	A*	`conf`	HubRouter: Learning Global Routing via Hub Generation and Pin-hub Connection. NeurIPS Xingbo Du, Chonghua Wang, Ruizhe Zhong, Junchi Yan
2023	A*	`conf`	IID-GAN: an IID Sampling Perspective for Regularizing Mode Collapse. IJCAI Yang Li, Liangliang Shi, Junchi Yan
2023	J	`jnl`	LLM4Drive: A Survey of Large Language Models for Autonomous Driving. CoRR Zhenjie Yang, Xiaosong Jia, Hongyang Li, Junchi Yan
2023	J	`jnl`	LaneSegNet: Map Learning with Lane Segment Perception for Autonomous Driving. CoRR Tianyu Li, Peijin Jia, Bangjun Wang, Li Chen, Kun Jiang, Junchi Yan, Hongyang Li
2023	A*	`conf`	Learning Calibrated Uncertainties for Domain Shift: A Distributionally Robust Learning Approach. IJCAI Haoxuan Wang, Zhiding Yu, Yisong Yue, Animashree Anandkumar, Anqi Liu, Junchi Yan
2023	J	`jnl`	Learning Deep Generative Clustering via Mutual Information Maximization. IEEE Trans. Neural Networks Learn. Syst. Xiaojiang Yang, Junchi Yan, Yu Cheng, Yizhe Zhang
2023	J	`jnl`	Learning Dynamic Graph for Overtaking Strategy in Autonomous Driving. IEEE Trans. Intell. Transp. Syst. Xuemin Hu, Yanfang Liu, Bo Tang, Junchi Yan, Long Chen
2023	J	`jnl`	Learning Generative RNN-ODE for Collaborative Time-Series and Event Sequence Forecasting. IEEE Trans. Knowl. Data Eng. Longyuan Li, Junchi Yan, Yunhao Zhang, Jihai Zhang, Jie Bao, Yaohui Jin, Xiaokang Yang
2023	J	`jnl`	Learning High-Order Graph Convolutional Networks via Adaptive Layerwise Aggregation Combination. IEEE Trans. Neural Networks Learn. Syst. Tianqi Zhang, Qitian Wu, Junchi Yan
2023	J	`jnl`	Learning Regularized Noise Contrastive Estimation for Robust Network Embedding. IEEE Trans. Knowl. Data Eng. Hao Xiong, Junchi Yan, Zengfeng Huang
2023	J	`jnl`	Learning Robust Deep State Space for Unsupervised Anomaly Detection in Contaminated Time-Series. IEEE Trans. Knowl. Data Eng. Longyuan Li, Junchi Yan, Qingsong Wen, Yaohui Jin, Xiaokang Yang
2023	A	`conf`	Learning Structured Communication for Multi-Agent Reinforcement Learning. AAMAS Junjie Sheng, Xiangfeng Wang, Bo Jin, Wenhao Li, Jun Wang, Junchi Yan, Tsung-Hui Chang, Hongyuan Zha
2023	A*	`conf`	LinSATNet: The Positive Linear Satisfiability Neural Networks. ICML Runzhong Wang, Yunhao Zhang, Ziao Guo, Tianyi Chen, Xiaokang Yang, Junchi Yan
2023	J	`jnl`	M3C: A Framework towards Convergent, Flexible, and Unsupervised Learning of Mixture Graph Matching and Clustering. CoRR Jiaxin Lu, Zetian Jiang, Tianzhe Wang, Junchi Yan
2023	Misc	`conf`	MHSCNET: A Multimodal Hierarchical Shot-Aware Convolutional Network for Video Summarization. ICASSP Wujiang Xu, Runzhong Wang, Xiaobo Guo, Shaoshuai Li, Qiongxu Ma, Yunan Zhao, Sheng Guo, Zhenfeng Zhu, Junchi Yan
2023	J	`jnl`	Machine Learning Methods in Solving the Boolean Satisfiability Problem. Mach. Intell. Res. Wenxuan Guo, Hui-Ling Zhen, Xijun Li, Wanqian Luo, Mingxuan Yuan, Yaohui Jin, Junchi Yan
2023	J	`jnl`	Machine Learning for the Multi-Dimensional Bin Packing Problem: Literature Review and Empirical Evaluation. CoRR Wenjie Wu, Changjun Fan, Jincai Huang, Zhong Liu, Junchi Yan
2023	A*	`conf`	MoleRec: Combinatorial Drug Recommendation with Substructure-Aware Molecular Representation Learning. WWW Nianzu Yang, Kaipeng Zeng, Qitian Wu, Junchi Yan
2023	J	`jnl`	NodeFormer: A Scalable Graph Structure Learning Transformer for Node Classification. CoRR Qitian Wu, Wentao Zhao, Zenan Li, David Wipf, Junchi Yan
2023	J	`jnl`	Open-sourced Data Ecosystem in Autonomous Driving: the Present and Future. CoRR Hongyang Li, Yang Li, Huijie Wang, Jia Zeng, Pinlong Cai, Huilin Xu, Dahua Lin, Junchi Yan, Feng Xu, Lu Xiong, Jingdong Wang, Futang Zhu, Kai Yan, Chunjing Xu, Tiancai Wang, Beipeng Mu, Shaoqing Ren, Zhihui Peng, Yu Qiao
2023	A*	`conf`	OpenLane-V2: A Topology Reasoning Benchmark for Unified 3D HD Mapping. NeurIPS 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
2023	A*	`conf`	Patch-Level Contrasting without Patch Correspondence for Accurate and Dense Contrastive Representation Learning. ICLR Shaofeng Zhang, Feng Zhu, Rui Zhao, Junchi Yan
2023	J	`jnl`	Patch-Level Contrasting without Patch Correspondence for Accurate and Dense Contrastive Representation Learning. CoRR Shaofeng Zhang, Feng Zhu, Rui Zhao, Junchi Yan
2023	A*	`conf`	Patch-level Contrastive Learning via Positional Query for Visual Pre-training. ICML Shaofeng Zhang, Qiang Zhou, Zhibin Wang, Fan Wang, Junchi Yan
2023	J	`jnl`	Point2RBox: Combine Knowledge from Synthetic Visual Patterns for End-to-end Oriented Object Detection with Single Point Supervision. CoRR Yu Yi, Xue Yang, Qingyun Li, Feipeng Da, Junchi Yan, Jifeng Dai, Yu Qiao
2023	J	`jnl`	PointOBB: Learning Oriented Object Detection via Single Point Supervision. CoRR Junwei Luo, Xue Yang, Yi Yu, Qingyun Li, Junchi Yan, Yansheng Li
2023	—	`conf`	Poisson Process for Bayesian Optimization. AutoML Xiaoxing Wang, Jiaxing Li, Chao Xue, Wei Liu, Weifeng Liu, Xiaokang Yang, Junchi Yan, Dacheng Tao
2023	A*	`conf`	Policy Pre-training for Autonomous Driving via Self-supervised Geometric Modeling. ICLR Penghao Wu, Li Chen, Hongyang Li, Xiaosong Jia, Junchi Yan, Yu Qiao
2023	J	`jnl`	Policy Pre-training for End-to-end Autonomous Driving via Self-supervised Geometric Modeling. CoRR Penghao Wu, Li Chen, Hongyang Li, Xiaosong Jia, Junchi Yan, Yu Qiao
2023	J	`jnl`	Progressive Context-Aware Graph Feature Learning for Target Re-Identification. IEEE Trans. Multim. Min Cao, Cong Ding, Chen Chen, Hao Dou, Xiyuan Hu, Junchi Yan
2023	A*	`conf`	Pyramid Graph Neural Network: A Graph Sampling and Filtering Approach for Multi-scale Disentangled Representations. KDD Haoyu Geng, Chao Chen, Yixuan He, Gang Zeng, Zhaobing Han, Hua Chai, Junchi Yan
2023	A*	`conf`	QAS-Bench: Rethinking Quantum Architecture Search and A Benchmark. ICML Xudong Lu, Kaisen Pan, Ge Yan, Jiaming Shan, Wenjie Wu, Junchi Yan
2023	A*	`conf`	Quantum 3D Graph Learning with Applications to Molecule Embedding. ICML Ge Yan, Huaijin Wu, Junchi Yan
2023	A*	`conf`	QuantumDARTS: Differentiable Quantum Architecture Search for Variational Quantum Algorithms. ICML Wenjie Wu, Ge Yan, Xudong Lu, Kaisen Pan, Junchi Yan
2023	J	`jnl`	R-Tuning: Regularized Prompt Tuning in Open-Set Scenarios. CoRR Ning Liao, Xiaopeng Zhang, Min Cao, Qi Tian, Junchi Yan
2023	J	`jnl`	REVO-LION: Evaluating and Refining Vision-Language Instruction Tuning Datasets. CoRR Ning Liao, Shaofeng Zhang, Renqiu Xia, Bo Zhang, Min Cao, Yu Qiao, Junchi Yan
2023	A*	`conf`	ROCO: A General Framework for Evaluating Robustness of Combinatorial Optimization Solvers on Graphs. ICLR Han Lu, Zenan Li, Runzhong Wang, Qibing Ren, Xijun Li, Mingxuan Yuan, Jia Zeng, Xiaokang Yang, Junchi Yan
2023	A*	`conf`	ROME: Robustifying Memory-Efficient NAS via Topology Disentanglement and Gradient Accumulation. ICCV Xiaoxing Wang, Xiangxiang Chu, Yuda Fan, Zhexi Zhang, Bo Zhang, Xiaokang Yang, Junchi Yan
2023	J	`jnl`	ReSimAD: Zero-Shot 3D Domain Transfer for Autonomous Driving with Source Reconstruction and Target Simulation. CoRR 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
2023	A*	`conf`	Reconnecting the Broken Civilization: Patchwork Integration of Fragments from Ancient Manuscripts. ACM Multimedia Yuqing Zhang, Zhou Fang, Xinyu Yang, Shengyu Zhang, Baoyi He, Huaiyong Dou, Junchi Yan, Yongquan Zhang, Fei Wu
2023	A*	`conf`	Relative Entropic Optimal Transport: a (Prior-aware) Matching Perspective to (Unbalanced) Classification. NeurIPS Liangliang Shi, Haoyu Zhen, Gu Zhang, Junchi Yan
2023	J	`jnl`	Rethinking Cross-Domain Sequential Recommendation under Open-World Assumptions. CoRR Wujiang Xu, Qitian Wu, Runzhong Wang, Mingming Ha, Qiongxu Ma, Linxun Chen, Bing Han, Junchi Yan
2023	J	`jnl`	Rethinking Urban Mobility Prediction: A Super-Multivariate Time Series Forecasting Approach. CoRR Jinguo Cheng, Ke Li, Yuxuan Liang, Lijun Sun, Junchi Yan, Yuankai Wu
2023	J	`jnl`	Rethinking Visual Prompt Learning as Masked Visual Token Modeling. CoRR Ning Liao, Bowen Shi, Min Cao, Xiaopeng Zhang, Qi Tian, Junchi Yan
2023	J	`jnl`	Rethinking and Benchmarking Predict-then-Optimize Paradigm for Combinatorial Optimization Problems. CoRR Haoyu Geng, Hang Ruan, Runzhong Wang, Yang Li, Yang Wang, Lei Chen, Junchi Yan
2023	A*	`conf`	Revocable Deep Reinforcement Learning with Affinity Regularization for Outlier-Robust Graph Matching. ICLR Chang Liu, Zetian Jiang, Runzhong Wang, Lingxiao Huang, Pinyan Lu, Junchi Yan
2023	J	`jnl`	RigLSTM: Recurrent Independent Grid LSTM for Generalizable Sequence Learning. CoRR Ziyu Wang, Wenhao Jiang, Zixuan Zhang, Wei Tang, Junchi Yan
2023	J	`jnl`	Road Genome: A Topology Reasoning Benchmark for Scene Understanding in Autonomous Driving. CoRR Huijie Wang, Zhenbo Liu, Yang Li, Tianyu Li, Li Chen, Chonghao Sima, Yuting Wang, Shengyin Jiang, Feng Wen, Hang Xu, Ping Luo, Junchi Yan, Wei Zhang, Jun Yao, Yu Qiao, Hongyang Li
2023	J	`jnl`	Robust Mesh Representation Learning via Efficient Local Structure-Aware Anisotropic Convolution. IEEE Trans. Neural Networks Learn. Syst. Zhongpai Gao, Junchi Yan, Guangtao Zhai, Juyong Zhang, Xiaokang Yang
2023	A*	`conf`	Robustness Certification for Structured Prediction with General Inputs via Safe Region Modeling in the Semimetric Output Space. KDD Huaqing Shao, Lanjun Wang, Junchi Yan
2023	J	`jnl`	SCRDet++: Detecting Small, Cluttered and Rotated Objects via Instance-Level Feature Denoising and Rotation Loss Smoothing. IEEE Trans. Pattern Anal. Mach. Intell. Xue Yang, Junchi Yan, Wenlong Liao, Xiaokang Yang, Jin Tang, Tao He
2023	J	`jnl`	SPOT: Scalable 3D Pre-training via Occupancy Prediction for Autonomous Driving. CoRR Xiangchao Yan, Runjian Chen, Bo Zhang, Jiakang Yuan, Xinyu Cai, Botian Shi, Wenqi Shao, Junchi Yan, Ping Luo, Yu Qiao
2023	A*	`conf`	Simplifying and Empowering Transformers for Large-Graph Representations. NeurIPS Qitian Wu, Wentao Zhao, Chenxiao Yang, Hengrui Zhang, Fan Nie, Haitian Jiang, Yatao Bian, Junchi Yan
2023	J	`jnl`	Simplifying and Empowering Transformers for Large-Graph Representations. CoRR Qitian Wu, Wentao Zhao, Chenxiao Yang, Hengrui Zhang, Fan Nie, Haitian Jiang, Yatao Bian, Junchi Yan
2023	J	`jnl`	StructChart: Perception, Structuring, Reasoning for Visual Chart Understanding. CoRR Renqiu Xia, Bo Zhang, Haoyang Peng, Ning Liao, Peng Ye, Botian Shi, Junchi Yan, Yu Qiao
2023	Misc	`conf`	Ternary Weight Networks. ICASSP Bin Liu, Fengfu Li, Xiaoxing Wang, Bo Zhang, Junchi Yan
2023	A*	`conf`	The KFIoU Loss for Rotated Object Detection. ICLR Xue Yang, Yue Zhou, Gefan Zhang, Jirui Yang, Wentao Wang, Junchi Yan, Xiaopeng Zhang, Qi Tian
2023	A*	`conf`	Think Twice before Driving: Towards Scalable Decoders for End-to-End Autonomous Driving. CVPR Xiaosong Jia, Penghao Wu, Li Chen, Jiangwei Xie, Conghui He, Junchi Yan, Hongyang Li
2023	J	`jnl`	Think Twice before Driving: Towards Scalable Decoders for End-to-End Autonomous Driving. CoRR Xiaosong Jia, Penghao Wu, Li Chen, Jiangwei Xie, Conghui He, Junchi Yan, Hongyang Li
2023	J	`jnl`	Topology Reasoning for Driving Scenes. CoRR Tianyu Li, Li Chen, Xiangwei Geng, Huijie Wang, Yang Li, Zhenbo Liu, Shengyin Jiang, Yuting Wang, Hang Xu, Chunjing Xu, Feng Wen, Ping Luo, Junchi Yan, Wei Zhang, Xiaogang Wang, Yu Qiao, Hongyang Li
2023	J	`jnl`	Towards General Loop Invariant Generation via Coordinating Symbolic Execution and Large Language Models. CoRR Chang Liu, Xiwei Wu, Yuan Feng, Qinxiang Cao, Junchi Yan
2023	A*	`conf`	Towards One-shot Neural Combinatorial Solvers: Theoretical and Empirical Notes on the Cardinality-Constrained Case. ICLR Runzhong Wang, Li Shen, Yiting Chen, Xiaokang Yang, Dacheng Tao, Junchi Yan
2023	A*	`conf`	Towards Quantum Machine Learning for Constrained Combinatorial Optimization: a Quantum QAP Solver. ICML Xinyu Ye, Ge Yan, Junchi Yan
2023	A*	`conf`	Towards Variance Reduction for Reinforcement Learning of Industrial Decision-making Tasks: A Bi-Critic based Demand-Constraint Decoupling Approach. KDD Jianyong Yuan, Jiayi Zhang, Zinuo Cai, Junchi Yan
2023	A*	`conf`	Transformers in Time Series: A Survey. IJCAI Qingsong Wen, Tian Zhou, Chaoli Zhang, Weiqi Chen, Ziqing Ma, Junchi Yan, Liang Sun
2023	A*	`conf`	Understanding and Generalizing Contrastive Learning from the Inverse Optimal Transport Perspective. ICML Liangliang Shi, Gu Zhang, Haoyu Zhen, Jintao Fan, Junchi Yan
2023	J	`jnl`	Unified Batch Normalization: Identifying and Alleviating the Feature Condensation in Batch Normalization and a Unified Framework. CoRR Shaobo Wang, Xiangdong Zhang, Junchi Yan
2023	J	`jnl`	Unsupervised Learning of Graph Matching With Mixture of Modes via Discrepancy Minimization. IEEE Trans. Pattern Anal. Mach. Intell. Runzhong Wang, Junchi Yan, Xiaokang Yang
2023	A*	`conf`	VQNE: Variational Quantum Network Embedding with Application to Network Alignment. KDD Xinyu Ye, Ge Yan, Junchi Yan
2022	—	`conf`	A Max-Flow Based Approach for Neural Architecture Search. ECCV (20) Chao Xue, Xiaoxing Wang, Junchi Yan, Chun-Guang Li
2022	J	`jnl`	A Survey for Solving Mixed Integer Programming via Machine Learning. CoRR Jiayi Zhang, Chang Liu, Junchi Yan, Xijun Li, Hui-Ling Zhen, Mingxuan Yuan
2022	A*	`conf`	Align Representations with Base: A New Approach to Self-Supervised Learning. CVPR Shaofeng Zhang, Lyn Qiu, Feng Zhu, Junchi Yan, Hengrui Zhang, Rui Zhao, Hongyang Li, Xiaokang Yang
2022	A*	`conf`	Appearance and Structure Aware Robust Deep Visual Graph Matching: Attack, Defense and Beyond. CVPR Qibing Ren, Qingquan Bao, Runzhong Wang, Junchi Yan
2022	J	`jnl`	Auto uning of price prediction models for high-frequency trading via reinforcement learning. Pattern Recognit. Weipeng Zhang, Ning Zhang, Junchi Yan, Guofu Li, Xiaokang Yang
2022	J	`jnl`	BTWalk: Branching Tree Random Walk for Multi-Order Structured Network Embedding. IEEE Trans. Knowl. Data Eng. Hao Xiong, Junchi Yan
2022	—	`conf`	CEP3: Community Event Prediction With Neural Point Process on Graph. LoG Xuhong Wang, Sirui Chen, Yixuan He, Minjie Wang, Quan Gan, Junchi Yan
2022	J	`jnl`	CEP3: Community Event Prediction with Neural Point Process on Graph. CoRR Xuhong Wang, Sirui Chen, Yixuan He, Minjie Wang, Quan Gan, Yupu Yang, Junchi Yan
2022	A*	`conf`	CoHOZ: Contrastive Multimodal Prompt Tuning for Hierarchical Open-set Zero-shot Recognition. ACM Multimedia Ning Liao, Yifeng Liu, Xiaobo Li, Chenyi Lei, Guoxin Wang, Xian-Sheng Hua, Junchi Yan
2022	—	`conf`	Conditional Variational Inference for Multi-modal Trajectory Prediction with Latent Diffusion Prior. PRICAI (1) Lyn Qiu, Xu Li, Mingming Sun, Junchi Yan
2022	J	`jnl`	Correction to: On the Arbitrary-Oriented Object Detection: Classification Based Approaches Revisited. Int. J. Comput. Vis. Xue Yang, Junchi Yan
2022	J	`jnl`	Cross-Network Skip-Gram Embedding for Joint Network Alignment and Link Prediction. IEEE Trans. Knowl. Data Eng. Xingbo Du, Junchi Yan, Rui Zhang, Hongyuan Zha
2022	A*	`conf`	DICE: Domain-attack Invariant Causal Learning for Improved Data Privacy Protection and Adversarial Robustness. KDD Qibing Ren, Yiting Chen, Yichuan Mo, Qitian Wu, Junchi Yan
2022	J	`jnl`	DOTIN: Dropping Task-Irrelevant Nodes for GNNs. CoRR Shaofeng Zhang, Feng Zhu, Junchi Yan, Rui Zhao, Xiaokang Yang
2022	J	`jnl`	Decompositional Quantum Graph Neural Network. CoRR Xing Ai, Zhihong Zhang, Luzhe Sun, Junchi Yan, Edwin R. Hancock
2022	A*	`conf`	Deep Neural Network Fusion via Graph Matching with Applications to Model Ensemble and Federated Learning. ICML Chang Liu, Chenfei Lou, Runzhong Wang, Alan Yuhan Xi, Li Shen, Junchi Yan
2022	J	`jnl`	Delving into the Devils of Bird's-eye-view Perception: A Review, Evaluation and Recipe. CoRR Hongyang Li, Chonghao Sima, Jifeng Dai, Wenhai Wang, Lewei Lu, Huijie Wang, Enze Xie, Zhiqi Li, Hanming Deng, Hao Tian, Xizhou Zhu, Li Chen, Yulu Gao, Xiangwei Geng, Jia Zeng, Yang Li, Jiazhi Yang, Xiaosong Jia, Bohan Yu, Yu Qiao, Dahua Lin, Si Liu, Junchi Yan, Jianping Shi, Ping Luo
2022	J	`jnl`	Detecting Rotated Objects as Gaussian Distributions and Its 3-D Generalization. CoRR Xue Yang, Gefan Zhang, Xiaojiang Yang, Yue Zhou, Wentao Wang, Jin Tang, Tao He, Junchi Yan
2022	J	`jnl`	DialogueNeRF: Towards Realistic Avatar Face-to-face Conversation Video Generation. CoRR Zanwei Zhou, Zi Wang, Shunyu Yao, Yichao Yan, Chen Yang, Guangtao Zhai, Junchi Yan, Xiaokang Yang
2022	J	`jnl`	Discovering Temporal Patterns for Event Sequence Clustering via Policy Mixture Model. IEEE Trans. Knowl. Data Eng. Weichang Wu, Junchi Yan, Xiaokang Yang, Hongyuan Zha
2022	—	`conf`	EAutoDet: Efficient Architecture Search for Object Detection. ECCV (20) Xiaoxing Wang, Jiale Lin, Juanping Zhao, Xiaokang Yang, Junchi Yan
2022	J	`jnl`	EAutoDet: Efficient Architecture Search for Object Detection. CoRR Xiaoxing Wang, Jiale Lin, Junchi Yan, Juanping Zhao, Xiaokang Yang
2022	J	`jnl`	EatingTrak: Detecting Fine-grained Eating Moments in the Wild Using a Wrist-mounted IMU. Proc. ACM Hum. Comput. Interact. Ruidong Zhang, Jihai Zhang, Nitish Gade, Peng Cao, Seyun Kim, Junchi Yan, Cheng Zhang
2022	J	`jnl`	End-to-End Context-Aided Unicity Matching for Person Re-identification. CoRR Min Cao, Cong Ding, Chen Chen, Junchi Yan, Yinqiang Zheng
2022	A*	`conf`	Explaining Point Processes by Learning Interpretable Temporal Logic Rules. ICLR Shuang Li, Mingquan Feng, Lu Wang, Abdelmajid Essofi, Yufeng Cao, Junchi Yan, Le Song
2022	J	`jnl`	From Quantum Graph Computing to Quantum Graph Learning: A Survey. CoRR Yehui Tang, Junchi Yan, Edwin R. Hancock
2022	A*	`conf`	GNNRank: Learning Global Rankings from Pairwise Comparisons via Directed Graph Neural Networks. ICML Yixuan He, Quan Gan, David Wipf, Gesine D. Reinert, Junchi Yan, Mihai Cucuringu
2022	J	`jnl`	GNNRank: Learning Global Rankings from Pairwise Comparisons via Directed Graph Neural Networks. CoRR Yixuan He, Quan Gan, David Wipf, Gesine Reinert, Junchi Yan, Mihai Cucuringu
2022	A*	`conf`	Geometric Knowledge Distillation: Topology Compression for Graph Neural Networks. NeurIPS Chenxiao Yang, Qitian Wu, Junchi Yan
2022	J	`jnl`	Geometric Knowledge Distillation: Topology Compression for Graph Neural Networks. CoRR Chenxiao Yang, Qitian Wu, Junchi Yan
2022	J	`jnl`	Graph Neural Networks are Inherently Good Generalizers: Insights by Bridging GNNs and MLPs. CoRR Chenxiao Yang, Qitian Wu, Jiahua Wang, Junchi Yan
2022	J	`jnl`	GraphCoCo: Graph Complementary Contrastive Learning. CoRR Jiawei Sun, Junchi Yan, Chentao Wu, Yue Ding, Ruoxin Chen, Xiang Yu, Xinyu Lu, Jie Li
2022	A*	`conf`	GraphDE: A Generative Framework for Debiased Learning and Out-of-Distribution Detection on Graphs. NeurIPS Zenan Li, Qitian Wu, Fan Nie, Junchi Yan
2022	A*	`conf`	GraphQNTK: Quantum Neural Tangent Kernel for Graph Data. NeurIPS Yehui Tang, Junchi Yan
2022	J	`jnl`	H2RBox: Horizontal Box Annotation is All You Need for Oriented Object Detection. CoRR Xue Yang, Gefan Zhang, Wentong Li, Xuehui Wang, Yue Zhou, Junchi Yan
2022	J	`jnl`	HDGT: Heterogeneous Driving Graph Transformer for Multi-Agent Trajectory Prediction via Scene Encoding. CoRR Xiaosong Jia, Penghao Wu, Li Chen, Hongyang Li, Yu Liu, Junchi Yan
2022	A*	`conf`	Handling Distribution Shifts on Graphs: An Invariance Perspective. ICLR Qitian Wu, Hengrui Zhang, Junchi Yan, David Wipf
2022	A*	`conf`	Improving Generative Adversarial Networks via Adversarial Learning in Latent Space. NeurIPS Yang Li, Yichuan Mo, Liangliang Shi, Junchi Yan
2022	A*	`conf`	Input-Specific Robustness Certification for Randomized Smoothing. AAAI Ruoxin Chen, Jie Li, Junchi Yan, Ping Li, Bin Sheng
2022	A*	`conf`	Learning Mixture of Neural Temporal Point Processes for Multi-dimensional Event Sequence Clustering. IJCAI Yunhao Zhang, Junchi Yan, Xiaolu Zhang, Jun Zhou, Xiaokang Yang
2022	J	`jnl`	Learning Neural Hamiltonian Dynamics: A Methodological Overview. CoRR Zhijie Chen, Mingquan Feng, Junchi Yan, Hongyuan Zha
2022	J	`jnl`	Learning Self-Modulating Attention in Continuous Time Space with Applications to Sequential Recommendation. CoRR Chao Chen, Haoyu Geng, Nianzu Yang, Junchi Yan, Daiyue Xue, Jianping Yu, Xiaokang Yang
2022	A*	`conf`	Learning Substructure Invariance for Out-of-Distribution Molecular Representations. NeurIPS Nianzu Yang, Kaipeng Zeng, Qitian Wu, Xiaosong Jia, Junchi Yan
2022	—	`conf`	Learning Unbiased Transferability for Domain Adaptation by Uncertainty Modeling. ECCV (31) Jian Hu, Haowen Zhong, Fei Yang, Shaogang Gong, Guile Wu, Junchi Yan
2022	J	`jnl`	Learning Unbiased Transferability for Domain Adaptation by Uncertainty Modeling. CoRR Jian Hu, Haowen Zhong, Junchi Yan, Shaogang Gong, Guile Wu, Fei Yang
2022	J	`jnl`	Learning Universe Model for Partial Matching Networks over Multiple Graphs. CoRR Zetian Jiang, Jiaxin Lu, Tianzhe Wang, Junchi Yan
2022	J	`jnl`	Learning structured communication for multi-agent reinforcement learning. Auton. Agents Multi Agent Syst. Junjie Sheng, Xiangfeng Wang, Bo Jin, Junchi Yan, Wenhao Li, Tsung-Hui Chang, Jun Wang, Hongyuan Zha
2022	J	`jnl`	Level 2 Autonomous Driving on a Single Device: Diving into the Devils of Openpilot. CoRR Li Chen, Tutian Tang, Zhitian Cai, Yang Li, Penghao Wu, Hongyang Li, Jianping Shi, Junchi Yan, Yu Qiao
2022	J	`jnl`	Leveraging Angular Information Between Feature and Classifier for Long-tailed Learning: A Prediction Reformulation Approach. CoRR Haoxuan Wang, Junchi Yan
2022	J	`jnl`	Localized Contrastive Learning on Graphs. CoRR Hengrui Zhang, Qitian Wu, Yu Wang, Shaofeng Zhang, Junchi Yan, Philip S. Yu
2022	A*	`conf`	M-Mix: Generating Hard Negatives via Multi-sample Mixing for Contrastive Learning. KDD Shaofeng Zhang, Meng Liu, Junchi Yan, Hengrui Zhang, Lingxiao Huang, Xiaokang Yang, Pinyan Lu
2022	J	`jnl`	MHSCNet: A Multimodal Hierarchical Shot-aware Convolutional Network for Video Summarization. CoRR Wujiang Xu, Shaoshuai Li, Qiongxu Ma, Yunan Zhao, Sheng Guo, Xiaobo Guo, Bing Han, Junchi Yan, Yifei Xu
2022	A*	`conf`	MMRotate: A Rotated Object Detection Benchmark using PyTorch. ACM Multimedia Yue Zhou, Xue Yang, Gefan Zhang, Jiabao Wang, Yanyi Liu, Liping Hou, Xue Jiang, Xingzhao Liu, Junchi Yan, Chengqi Lyu, Wenwei Zhang, Kai Chen
2022	J	`jnl`	MMRotate: A Rotated Object Detection Benchmark using Pytorch. CoRR Yue Zhou, Xue Yang, Gefan Zhang, Jiabao Wang, Yanyi Liu, Liping Hou, Xue Jiang, Xingzhao Liu, Junchi Yan, Chengqi Lyu, Wenwei Zhang, Kai Chen
2022	J	`jnl`	Machine Learning Methods in Solving the Boolean Satisfiability Problem. CoRR Wenxuan Guo, Junchi Yan, Hui-Ling Zhen, Xijun Li, Mingxuan Yuan, Yaohui Jin
2022	J	`jnl`	Mind Your Solver! On Adversarial Attack and Defense for Combinatorial Optimization. CoRR Han Lu, Zenan Li, Runzhong Wang, Qibing Ren, Junchi Yan, Xiaokang Yang
2022	J	`jnl`	Modeling Dynamic User Preference via Dictionary Learning for Sequential Recommendation. CoRR Chao Chen, Dongsheng Li, Junchi Yan, Xiaokang Yang
2022	J	`jnl`	Modeling Dynamic User Preference via Dictionary Learning for Sequential Recommendation. IEEE Trans. Knowl. Data Eng. Chao Chen, Dongsheng Li, Junchi Yan, Xiaokang Yang
2022	J	`jnl`	Molecule Generation for Drug Design: a Graph Learning Perspective. CoRR Nianzu Yang, Huaijin Wu, Junchi Yan, Xiaoyong Pan, Ye Yuan, Le Song
2022	J	`jnl`	Neural Graph Matching Network: Learning Lawler's Quadratic Assignment Problem With Extension to Hypergraph and Multiple-Graph Matching. IEEE Trans. Pattern Anal. Mach. Intell. Runzhong Wang, Junchi Yan, Xiaokang Yang
2022	A*	`conf`	NodeFormer: A Scalable Graph Structure Learning Transformer for Node Classification. NeurIPS Qitian Wu, Wentao Zhao, Zenan Li, David P. Wipf, Junchi Yan
2022	A*	`conf`	Nonlinear ICA Using Volume-Preserving Transformations. ICLR Xiaojiang Yang, Yi Wang, Jiacheng Sun, Xing Zhang, Shifeng Zhang, Zhenguo Li, Junchi Yan
2022	A*	`conf`	Object Localization under Single Coarse Point Supervision. CVPR Xuehui Yu, Pengfei Chen, Di Wu, Najmul Hassan, Guorong Li, Junchi Yan, Humphrey Shi, Qixiang Ye, Zhenjun Han
2022	J	`jnl`	Object Localization under Single Coarse Point Supervision. CoRR Xuehui Yu, Pengfei Chen, Di Wu, Najmul Hassan, Guorong Li, Junchi Yan, Humphrey Shi, Qixiang Ye, Zhenjun Han
2022	A*	`conf`	On Collective Robustness of Bagging Against Data Poisoning. ICML Ruoxin Chen, Zenan Li, Jie Li, Junchi Yan, Chentao Wu
2022	J	`jnl`	On Collective Robustness of Bagging Against Data Poisoning. CoRR Ruoxin Chen, Zenan Li, Jie Li, Chentao Wu, Junchi Yan
2022	J	`jnl`	On the Arbitrary-Oriented Object Detection: Classification Based Approaches Revisited. Int. J. Comput. Vis. Xue Yang, Junchi Yan
2022	A	`conf`	Opendenselane: A Dense Lidar-Based Dataset for HD Map Construction. ICME Xiaolei Chen, Wenlong Liao, Bin Liu, Junchi Yan, Tao He
2022	A*	`conf`	Optimal LED Spectral Multiplexing for NIR2RGB Translation. CVPR Lei Liu, Yuze Chen, Junchi Yan, Yinqiang Zheng
2022	—	`conf`	PersFormer: 3D Lane Detection via Perspective Transformer and the OpenLane Benchmark. ECCV (38) Li Chen, Chonghao Sima, Yang Li, Zehan Zheng, Jiajie Xu, Xiangwei Geng, Hongyang Li, Conghui He, Jianping Shi, Yu Qiao, Junchi Yan
2022	J	`jnl`	PersFormer: 3D Lane Detection via Perspective Transformer and the OpenLane Benchmark. CoRR Li Chen, Chonghao Sima, Yang Li, Zehan Zheng, Jiajie Xu, Xiangwei Geng, Hongyang Li, Conghui He, Jianping Shi, Yu Qiao, Junchi Yan
2022	A*	`conf`	Prompt-based Zero-shot Video Moment Retrieval. ACM Multimedia Guolong Wang, Xun Wu, Zhaoyuan Liu, Junchi Yan
2022	J	`jnl`	RSDet++: Point-Based Modulated Loss for More Accurate Rotated Object Detection. IEEE Trans. Circuits Syst. Video Technol. Wen Qian, Xue Yang, Silong Peng, Xiujuan Zhang, Junchi Yan
2022	J	`jnl`	Real-Trading-Oriented Price Prediction With Explainable Multiobjective Optimization in Quantitative Trading. IEEE Access Tao Yin, Xingbo Du, Weipeng Zhang, Yunan Zhao, Bing Han, Junchi Yan
2022	J	`jnl`	Recent progress and perspectives on quantum computing for finance. Serv. Oriented Comput. Appl. Yehui Tang, Junchi Yan, Guoqiang Hu, Baohua Zhang, Jinzan Zhou
2022	A*	`conf`	Rethinking and Improving Robustness of Convolutional Neural Networks: a Shapley Value-based Approach in Frequency Domain. NeurIPS Yiting Chen, Qibing Ren, Junchi Yan
2022	—	`conf`	ST-P3: End-to-End Vision-Based Autonomous Driving via Spatial-Temporal Feature Learning. ECCV (38) Shengchao Hu, Li Chen, Penghao Wu, Hongyang Li, Junchi Yan, Dacheng Tao
2022	J	`jnl`	ST-P3: End-to-end Vision-based Autonomous Driving via Spatial-Temporal Feature Learning. CoRR Shengchao Hu, Li Chen, Penghao Wu, Hongyang Li, Junchi Yan, Dacheng Tao
2022	—	`conf`	Self-supervised Learning of Visual Graph Matching. ECCV (23) Chang Liu, Shaofeng Zhang, Xiaokang Yang, Junchi Yan
2022	—	`conf`	StyleFace: Towards Identity-Disentangled Face Generation on Megapixels. ECCV (16) Yuchen Luo, Junwei Zhu, Keke He, Wenqing Chu, Ying Tai, Chengjie Wang, Junchi Yan
2022	J	`jnl`	The KFIoU Loss for Rotated Object Detection. CoRR Xue Yang, Yue Zhou, Gefan Zhang, Jirui Yang, Wentao Wang, Junchi Yan, Xiaopeng Zhang, Qi Tian
2022	A*	`conf`	The Policy-gradient Placement and Generative Routing Neural Networks for Chip Design. NeurIPS Ruoyu Cheng, Xianglong Lyu, Yang Li, Junjie Ye, Jianye Hao, Junchi Yan
2022	Misc	`conf`	Towards Capturing the Temporal Dynamics for Trajectory Prediction: a Coarse-to-Fine Approach. CoRL Xiaosong Jia, Li Chen, Penghao Wu, Jia Zeng, Junchi Yan, Hongyang Li, Yu Qiao
2022	J	`jnl`	Towards Distribution Shift of Node-Level Prediction on Graphs: An Invariance Perspective. CoRR Qitian Wu, Hengrui Zhang, Junchi Yan, David Wipf
2022	J	`jnl`	Towards Machine Learning for Placement and Routing in Chip Design: a Methodological Overview. CoRR Junchi Yan, Xianglong Liu, Ruoyu Cheng, Yibo Lin
2022	A*	`conf`	Towards Out-of-Distribution Sequential Event Prediction: A Causal Treatment. NeurIPS Chenxiao Yang, Qitian Wu, Qingsong Wen, Zhiqiang Zhou, Liang Sun, Junchi Yan
2022	J	`jnl`	Towards Out-of-Distribution Sequential Event Prediction: A Causal Treatment. CoRR Chenxiao Yang, Qitian Wu, Qingsong Wen, Zhiqiang Zhou, Liang Sun, Junchi Yan
2022	A*	`conf`	Towards a Native Quantum Paradigm for Graph Representation Learning: A Sampling-based Recurrent Embedding Approach. KDD Ge Yan, Yehui Tang, Junchi Yan
2022	A	`conf`	Trajectory Prediction from EGO View: A Coordinate Transform and Tail-Light Event Driven Approach. ICME Wenlong Liao, Xiaolei Chen, Weipeng Zhang, Huanxi Liu, Junchi Yan, Yingxin Lou, Tao Xue, Shuqi Mei
2022	A*	`conf`	Trajectory-guided Control Prediction for End-to-end Autonomous Driving: A Simple yet Strong Baseline. NeurIPS Penghao Wu, Xiaosong Jia, Li Chen, Junchi Yan, Hongyang Li, Yu Qiao
2022	J	`jnl`	Trajectory-guided Control Prediction for End-to-end Autonomous Driving: A Simple yet Strong Baseline. CoRR Penghao Wu, Xiaosong Jia, Li Chen, Junchi Yan, Hongyang Li, Yu Qiao
2022	J	`jnl`	Transformers in Time Series: A Survey. CoRR Qingsong Wen, Tian Zhou, Chaoli Zhang, Weiqi Chen, Ziqing Ma, Junchi Yan, Liang Sun
2022	A*	`conf`	Variational Inference for Training Graph Neural Networks in Low-Data Regime through Joint Structure-Label Estimation. KDD Danning Lao, Xinyu Yang, Qitian Wu, Junchi Yan
2022	A*	`conf`	ZARTS: On Zero-order Optimization for Neural Architecture Search. NeurIPS Xiaoxing Wang, Wenxuan Guo, Jianlin Su, Xiaokang Yang, Junchi Yan
2022	A*	`conf`	Zero-CL: Instance and Feature decorrelation for negative-free symmetric contrastive learning. ICLR Shaofeng Zhang, Feng Zhu, Junchi Yan, Rui Zhao, Xiaokang Yang
2021	A*	`conf`	A Bi-Level Framework for Learning to Solve Combinatorial Optimization on Graphs. NeurIPS Runzhong Wang, Zhigang Hua, Gan Liu, Jiayi Zhang, Junchi Yan, Feng Qi, Shuang Yang, Jun Zhou, Xiaokang Yang
2021	J	`jnl`	A Bi-Level Framework for Learning to Solve Combinatorial Optimization on Graphs. CoRR Runzhong Wang, Zhigang Hua, Gan Liu, Jiayi Zhang, Junchi Yan, Feng Qi, Shuang Yang, Jun Zhou, Xiaokang Yang
2021	J	`jnl`	AlphaRotate: A Rotation Detection Benchmark using TensorFlow. CoRR Xue Yang, Yue Zhou, Junchi Yan
2021	J	`jnl`	Anomaly Detection of Time Series With Smoothness-Inducing Sequential Variational Auto-Encoder. IEEE Trans. Neural Networks Learn. Syst. Longyuan Li, Junchi Yan, Haiyang Wang, Yaohui Jin
2021	J	`jnl`	Anomaly Detection of Time Series with Smoothness-Inducing Sequential Variational Auto-Encoder. CoRR Longyuan Li, Junchi Yan, Haiyang Wang, Yaohui Jin
2021	J	`jnl`	Cognitive Visual Inspection Service for LCD Manufacturing Industry. CoRR Yuanyuan Ding, Junchi Yan, Guoqiang Hu, Jun Zhu
2021	A*	`conf`	Combinatorial Learning of Graph Edit Distance via Dynamic Embedding. CVPR Runzhong Wang, Tianqi Zhang, Tianshu Yu, Junchi Yan, Xiaokang Yang
2021	A*	`conf`	Contrastive Multi-View Multiplex Network Embedding with Applications to Robust Network Alignment. KDD Hao Xiong, Junchi Yan, Li Pan
2021	J	`jnl`	DAAS: Differentiable Architecture and Augmentation Policy Search. CoRR Xiaoxing Wang, Xiangxiang Chu, Junchi Yan, Xiaokang Yang
2021	A*	`conf`	DARTS-: Robustly Stepping out of Performance Collapse Without Indicators. ICLR Xiangxiang Chu, Xiaoxing Wang, Bo Zhang, Shun Lu, Xiaolin Wei, Junchi Yan
2021	A*	`conf`	Deep Latent Graph Matching. ICML Tianshu Yu, Runzhong Wang, Junchi Yan, Baoxin Li
2021	A*	`conf`	Dense Label Encoding for Boundary Discontinuity Free Rotation Detection. CVPR Xue Yang, Liping Hou, Yue Zhou, Wentao Wang, Junchi Yan
2021	J	`jnl`	Distributed and Parallel ADMM for Structured Nonconvex Optimization Problem. IEEE Trans. Cybern. Xiangfeng Wang, Junchi Yan, Bo Jin, Wenhao Li
2021	A	`conf`	Dynamic Modeling of Hand-Object Interactions via Tactile Sensing. IROS Qiang Zhang, Yunzhu Li, Yiyue Luo, Wan Shou, Michael Foshey, Junchi Yan, Joshua B. Tenenbaum, Wojciech Matusik, Antonio Torralba
2021	J	`jnl`	Dynamic Modeling of Hand-Object Interactions via Tactile Sensing. CoRR Qiang Zhang, Yunzhu Li, Yiyue Luo, Wan Shou, Michael Foshey, Junchi Yan, Joshua B. Tenenbaum, Wojciech Matusik, Antonio Torralba
2021	A	`conf`	ENPAR: Enhancing Entity and Entity Pair Representations for Joint Entity Relation Extraction. EACL Yijun Wang, Changzhi Sun, Yuanbin Wu, Hao Zhou, Lei Li, Junchi Yan
2021	A*	`conf`	From Canonical Correlation Analysis to Self-supervised Graph Neural Networks. NeurIPS Hengrui Zhang, Qitian Wu, Junchi Yan, David Wipf, Philip S. Yu
2021	J	`jnl`	From Canonical Correlation Analysis to Self-supervised Graph Neural Networks. CoRR Hengrui Zhang, Qitian Wu, Junchi Yan, David Wipf, Philip S. Yu
2021	A*	`conf`	GRIN: Generative Relation and Intention Network for Multi-agent Trajectory Prediction. NeurIPS Longyuan Li, Jian Yao, Li K. Wenliang, Tong He, Tianjun Xiao, Junchi Yan, David Wipf, Zheng Zhang
2021	A*	`conf`	Generalizing Face Forgery Detection With High-Frequency Features. CVPR Yuchen Luo, Yong Zhang, Junchi Yan, Wei Liu
2021	J	`jnl`	Generalizing Face Forgery Detection with High-frequency Features. CoRR Yuchen Luo, Yong Zhang, Junchi Yan, Wei Liu
2021	A*	`conf`	HMRL: Hyper-Meta Learning for Sparse Reward Reinforcement Learning Problem. KDD Yun Hua, Xiangfeng Wang, Bo Jin, Wenhao Li, Junchi Yan, Xiaofeng He, Hongyuan Zha
2021	J	`jnl`	IID-GAN: an IID Sampling Perspective for Regularizing Mode Collapse. CoRR Liangliang Shi, Yang Li, Junchi Yan
2021	J	`jnl`	Image Matching from Handcrafted to Deep Features: A Survey. Int. J. Comput. Vis. Jiayi Ma, Xingyu Jiang, Aoxiang Fan, Junjun Jiang, Junchi Yan
2021	J	`jnl`	Input-Specific Robustness Certification for Randomized Smoothing. CoRR Ruoxin Chen, Jie Li, Junchi Yan, Ping Li, Bin Sheng
2021	A*	`conf`	Learning Comprehensive Motion Representation for Action Recognition. AAAI Mingyu Wu, Boyuan Jiang, Donghao Luo, Junchi Yan, Yabiao Wang, Ying Tai, Chengjie Wang, Jilin Li, Feiyue Huang, Xiaokang Yang
2021	J	`jnl`	Learning Comprehensive Motion Representation for Action Recognition. CoRR Mingyu Wu, Boyuan Jiang, Donghao Luo, Junchi Yan, Yabiao Wang, Ying Tai, Chengjie Wang, Jilin Li, Feiyue Huang, Xiaokang Yang
2021	A	`conf`	Learning Dual Dynamic Representations on Time-Sliced User-Item Interaction Graphs for Sequential Recommendation. CIKM Zeyuan Chen, Wei Zhang, Junchi Yan, Gang Wang, Jianyong Wang
2021	J	`jnl`	Learning Dual Dynamic Representations on Time-Sliced User-Item Interaction Graphs for Sequential Recommendation. CoRR Zeyuan Chen, Wei Zhang, Junchi Yan, Gang Wang, Jianyong Wang
2021	A*	`conf`	Learning High-Precision Bounding Box for Rotated Object Detection via Kullback-Leibler Divergence. NeurIPS Xue Yang, Xiaojiang Yang, Jirui Yang, Qi Ming, Wentao Wang, Qi Tian, Junchi Yan
2021	J	`jnl`	Learning High-Precision Bounding Box for Rotated Object Detection via Kullback-Leibler Divergence. CoRR Xue Yang, Xiaojiang Yang, Jirui Yang, Qi Ming, Wentao Wang, Qi Tian, Junchi Yan
2021	J	`jnl`	Learning Interpretable Deep State Space Model for Probabilistic Time Series Forecasting. CoRR Longyuan Li, Junchi Yan, Xiaokang Yang, Yaohui Jin
2021	A*	`conf`	Learning Local Neighboring Structure for Robust 3D Shape Representation. AAAI Zhongpai Gao, Junchi Yan, Guangtao Zhai, Juyong Zhang, Yiyan Yang, Xiaokang Yang
2021	A*	`conf`	Learning Modulated Loss for Rotated Object Detection. AAAI Wen Qian, Xue Yang, Silong Peng, Junchi Yan, Yue Guo
2021	A*	`conf`	Learning Self-Modulating Attention in Continuous Time Space with Applications to Sequential Recommendation. ICML Chao Chen, Haoyu Geng, Nianzu Yang, Junchi Yan, Daiyue Xue, Jianping Yu, Xiaokang Yang
2021	A*	`conf`	Learning Spectral Dictionary for Local Representation of Mesh. IJCAI Zhongpai Gao, Junchi Yan, Guangtao Zhai, Xiaokang Yang
2021	J	`jnl`	Melody Structure Transfer Network: Generating Music with Separable Self-Attention. CoRR Ning Zhang, Junchi Yan
2021	—	`conf`	Monocular Visual Analysis for Electronic Line Calling of Tennis Games. ICIG (1) Yuanzhou Chen, Shaobo Cai, Yuxin Wang, Junchi Yan
2021	J	`jnl`	Monocular Visual Analysis for Electronic Line Calling of Tennis Games. CoRR Yuanzhou Chen, Shaobo Cai, Yuxin Wang, Junchi Yan
2021	J	`jnl`	Music Plagiarism Detection via Bipartite Graph Matching. CoRR Tianyao He, Wenxuan Liu, Chen Gong, Junchi Yan, Ning Zhang
2021	A*	`conf`	Neural Relation Inference for Multi-dimensional Temporal Point Processes via Message Passing Graph. IJCAI Yunhao Zhang, Junchi Yan
2021	J	`jnl`	OS-LFFD: a light and fast face detector with Ommateum structure. Multim. Tools Appl. Dezhong Xu, Lifang Wu, Yonghao He, Qing Zhao, Meng Jian, Junchi Yan, Liang Zhao
2021	A*	`conf`	On Joint Learning for Solving Placement and Routing in Chip Design. NeurIPS Ruoyu Cheng, Junchi Yan
2021	J	`jnl`	On Joint Learning for Solving Placement and Routing in Chip Design. CoRR Ruoyu Cheng, Junchi Yan
2021	A*	`conf`	R3Det: Refined Single-Stage Detector with Feature Refinement for Rotating Object. AAAI Xue Yang, Junchi Yan, Ziming Feng, Tao He
2021	J	`jnl`	RSDet++: Point-based Modulated Loss for More Accurate Rotated Object Detection. CoRR Wen Qian, Xue Yang, Silong Peng, Junchi Yan, Xiujuan Zhang
2021	A*	`conf`	Rethinking Bi-Level Optimization in Neural Architecture Search: A Gibbs Sampling Perspective. AAAI Chao Xue, Xiaoxing Wang, Junchi Yan, Yonggang Hu, Xiaokang Yang, Kewei Sun
2021	A*	`conf`	Rethinking Rotated Object Detection with Gaussian Wasserstein Distance Loss. ICML Xue Yang, Junchi Yan, Qi Ming, Wentao Wang, Xiaopeng Zhang, Qi Tian
2021	J	`jnl`	Rethinking Rotated Object Detection with Gaussian Wasserstein Distance Loss. CoRR Xue Yang, Junchi Yan, Qi Ming, Wentao Wang, Xiaopeng Zhang, Qi Tian
2021	A*	`conf`	Scalable and Explainable 1-Bit Matrix Completion via Graph Signal Learning. AAAI Chao Chen, Dongsheng Li, Junchi Yan, Hanchi Huang, Xiaokang Yang
2021	A*	`conf`	SelfSAGCN: Self-Supervised Semantic Alignment for Graph Convolution Network. CVPR Xu Yang, Cheng Deng, Zhiyuan Dang, Kun Wei, Junchi Yan
2021	J	`jnl`	Spherical Transformer: Adapting Spherical Signal to CNNs. CoRR Haikuan Du, Hui Cao, Shen Cai, Junchi Yan, Siyu Zhang
2021	A*	`conf`	Synergetic Learning of Heterogeneous Temporal Sequences for Multi-Horizon Probabilistic Forecasting. AAAI Longyuan Li, Jihai Zhang, Junchi Yan, Yaohui Jin, Yunhao Zhang, Yanjie Duan, Guangjian Tian
2021	J	`jnl`	Synergetic Learning of Heterogeneous Temporal Sequences for Multi-Horizon Probabilistic Forecasting. CoRR Longyuan Li, Jihai Zhang, Junchi Yan, Yaohui Jin, Yunhao Zhang, Yanjie Duan, Guangjian Tian
2021	A*	`conf`	Towards Open-World Feature Extrapolation: An Inductive Graph Learning Approach. NeurIPS Qitian Wu, Chenxiao Yang, Junchi Yan
2021	J	`jnl`	Towards Open-World Feature Extrapolation: An Inductive Graph Learning Approach. CoRR Qitian Wu, Chenxiao Yang, Junchi Yan
2021	A*	`conf`	Towards Open-World Recommendation: An Inductive Model-based Collaborative Filtering Approach. ICML Qitian Wu, Hengrui Zhang, Xiaofeng Gao, Junchi Yan, Hongyuan Zha
2021	A*	`conf`	Tuning IR-Cut Filter for Illumination-Aware Spectral Reconstruction From RGB. CVPR Bo Sun, Junchi Yan, Xiao Zhou, Yinqiang Zheng
2021	J	`jnl`	Tuning IR-cut Filter for Illumination-aware Spectral Reconstruction from RGB. CoRR Bo Sun, Junchi Yan, Xiao Zhou, Yinqiang Zheng
2021	—	`conf`	UniRE: A Unified Label Space for Entity Relation Extraction. ACL/IJCNLP (1) Yijun Wang, Changzhi Sun, Yuanbin Wu, Hao Zhou, Lei Li, Junchi Yan
2021	J	`jnl`	UniRE: A Unified Label Space for Entity Relation Extraction. CoRR Yijun Wang, Changzhi Sun, Yuanbin Wu, Hao Zhou, Lei Li, Junchi Yan
2021	J	`jnl`	Unifying Offline and Online Multi-Graph Matching via Finding Shortest Paths on Supergraph. IEEE Trans. Pattern Anal. Mach. Intell. Zetian Jiang, Tianzhe Wang, Junchi Yan
2021	J	`jnl`	ZARTS: On Zero-order Optimization for Neural Architecture Search. CoRR Xiaoxing Wang, Wenxuan Guo, Junchi Yan, Jianlin Su, Xiaokang Yang
2020	A*	`conf`	Adversarial Learning for Robust Deep Clustering. NeurIPS Xu Yang, Cheng Deng, Kun Wei, Junchi Yan, Wei Liu
2020	—	`conf`	Arbitrary-Oriented Object Detection with Circular Smooth Label. ECCV (8) Xue Yang, Junchi Yan
2020	J	`jnl`	Arbitrary-Oriented Object Detection with Circular Smooth Label. CoRR Xue Yang, Junchi Yan
2020	—	`conf`	AutoMix: Mixup Networks for Sample Interpolation via Cooperative Barycenter Learning. ECCV (10) Jianchao Zhu, Liangliang Shi, Junchi Yan, Hongyuan Zha
2020	B	`conf`	Automatic Student Network Search for Knowledge Distillation. ICPR Zhexi Zhang, Wei Zhu, Junchi Yan, Peng Gao, Guotong Xie
2020	J	`jnl`	Causality Learning from Time Series Data for the Industrial Finance Analysis via the Multi-dimensional Point Process. Intell. Autom. Soft Comput. Liangliang Shi, Peili Lu, Junchi Yan
2020	J	`jnl`	Combinatorial Learning of Graph Edit Distance via Dynamic Embedding. CoRR Runzhong Wang, Tianqi Zhang, Tianshu Yu, Junchi Yan, Xiaokang Yang
2020	J	`jnl`	DARTS-: Robustly Stepping out of Performance Collapse Without Indicators. CoRR Xiangxiang Chu, Xiaoxing Wang, Bo Zhang, Shun Lu, Xiaolin Wei, Junchi Yan
2020	J	`jnl`	Deep Reinforcement Learning of Graph Matching. CoRR Chang Liu, Runzhong Wang, Zetian Jiang, Junchi Yan
2020	J	`jnl`	Dense Label Encoding for Boundary Discontinuity Free Rotation Detection. CoRR Xue Yang, Liping Hou, Yue Zhou, Wentao Wang, Junchi Yan
2020	A*	`conf`	Determinant Regularization for Gradient-Efficient Graph Matching. CVPR Tianshu Yu, Junchi Yan, Baoxin Li
2020	—	`conf`	Discriminative Partial Domain Adversarial Network. ECCV (27) Jian Hu, Hongya Tuo, Chao Wang, Lingfeng Qiao, Haowen Zhong, Junchi Yan, Zhongliang Jing, Henry Leung
2020	J	`jnl`	F2A2: Flexible Fully-decentralized Approximate Actor-critic for Cooperative Multi-agent Reinforcement Learning. CoRR Wenhao Li, Bo Jin, Xiangfeng Wang, Junchi Yan, Hongyuan Zha
2020	J	`jnl`	Fusing Motion Patterns and Key Visual Information for Semantic Event Recognition in Basketball Videos. CoRR Lifang Wu, Zhou Yang, Qi Wang, Meng Jian, Boxuan Zhao, Junchi Yan, Chang Wen Chen
2020	J	`jnl`	Fusing motion patterns and key visual information for semantic event recognition in basketball videos. Neurocomputing Lifang Wu, Zhou Yang, Qi Wang, Meng Jian, Boxuan Zhao, Junchi Yan, Chang Wen Chen
2020	—	`conf`	GFTE: Graph-Based Financial Table Extraction. ICPR Workshops (2) Yiren Li, Zheng Huang, Junchi Yan, Yi Zhou, Fan Ye, Xianhui Liu
2020	J	`jnl`	GFTE: Graph-based Financial Table Extraction. CoRR Yiren Li, Zheng Huang, Junchi Yan, Yi Zhou, Fan Ye, Xianhui Liu
2020	A*	`conf`	Graduated Assignment for Joint Multi-Graph Matching and Clustering with Application to Unsupervised Graph Matching Network Learning. NeurIPS Runzhong Wang, Junchi Yan, Xiaokang Yang
2020	B	`conf`	Heterogeneous Graph-based Knowledge Transfer for Generalized Zero-shot Learning. ICPR Junjie Wang, Xiangfeng Wang, Bo Jin, Junchi Yan, Wenjie Zhang, Hongyuan Zha
2020	J	`jnl`	Hyper-Meta Reinforcement Learning with Sparse Reward. CoRR Yun Hua, Xiangfeng Wang, Bo Jin, Wenhao Li, Junchi Yan, Xiaofeng He, Hongyuan Zha
2020	J	`jnl`	IEEE Access Special Section: Sequential Data Modeling and Its Emerging Applications. IEEE Access Junchi Yan, Xiaoyong Pan, Liangda Li, Changsheng Li, Peng Cui, Chao Ma
2020	—	`conf`	Layered Neighborhood Expansion for Incremental Multiple Graph Matching. ECCV (10) Zixuan Chen, Zhihui Xie, Junchi Yan, Yinqiang Zheng, Xiaokang Yang
2020	J	`jnl`	Learning Structured Communication for Multi-agent Reinforcement Learning. CoRR Junjie Sheng, Xiangfeng Wang, Bo Jin, Junchi Yan, Wenhao Li, Tsung-Hui Chang, Jun Wang, Hongyuan Zha
2020	A*	`conf`	Learning Unseen Concepts via Hierarchical Decomposition and Composition. CVPR Muli Yang, Cheng Deng, Junchi Yan, Xianglong Liu, Dacheng Tao
2020	A*	`conf`	Learning deep graph matching with channel-independent embedding and Hungarian attention. ICLR Tianshu Yu, Runzhong Wang, Junchi Yan, Baoxin Li
2020	A*	`conf`	Learning for Graph Matching and Related Combinatorial Optimization Problems. IJCAI Junchi Yan, Shuang Yang, Edwin R. Hancock
2020	B	`conf`	Learning to Select Elements for Graphic Design. ICMR Guolong Wang, Zheng Qin, Junchi Yan, Liu Jiang
2020	—	`conf`	Lightweight Single-Image Super-Resolution Network with Attentive Auxiliary Feature Learning. ACCV (2) Xuehui Wang, Qing Wang, Yuzhi Zhao, Junchi Yan, Lei Fan, Long Chen
2020	J	`jnl`	Lightweight Single-Image Super-Resolution Network with Attentive Auxiliary Feature Learning. CoRR Xuehui Wang, Qing Wang, Yuzhi Zhao, Junchi Yan, Lei Fan, Long Chen
2020	A*	`conf`	MergeNAS: Merge Operations into One for Differentiable Architecture Search. IJCAI Xiaoxing Wang, Chao Xue, Junchi Yan, Xiaokang Yang, Yonggang Hu, Kewei Sun
2020	A*	`conf`	Multiple Graph Matching and Clustering via Decayed Pairwise Matching Composition. AAAI Tianzhe Wang, Zetian Jiang, Junchi Yan
2020	J	`jnl`	PAI-Conv: Permutable Anisotropic Convolutional Networks for Learning on Point Clouds. CoRR Zhongpai Gao, Guangtao Zhai, Junchi Yan, Xiaokang Yang
2020	—	`conf`	Pre-training Entity Relation Encoder with Intra-span and Inter-span Information. EMNLP (1) Yijun Wang, Changzhi Sun, Yuanbin Wu, Junchi Yan, Peng Gao, Guotong Xie
2020	J	`jnl`	ROME: Robustifying Memory-Efficient NAS via Topology Disentanglement and Gradients Accumulation. CoRR Xiaoxing Wang, Xiangxiang Chu, Yuda Fan, Zhexi Zhang, Xiaolin Wei, Junchi Yan, Xiaokang Yang
2020	—	`conf`	Rethinking the Defocus Blur Detection Problem and a Real-Time Deep DBD Model. ECCV (10) Ning Zhang, Junchi Yan
2020	J	`jnl`	SCRDet++: Detecting Small, Cluttered and Rotated Objects via Instance-Level Feature Denoising and Rotation Loss Smoothing. CoRR Xue Yang, Junchi Yan, Xiaokang Yang, Jin Tang, Wenlong Liao, Tao He
2020	J	`jnl`	STFlow: Self-Taught Optical Flow Estimation Using Pseudo Labels. IEEE Trans. Image Process. Zhe Ren, Wenhan Luo, Junchi Yan, Wenlong Liao, Xiaokang Yang, Alan L. Yuille, Hongyuan Zha
2020	A*	`conf`	The Diversified Ensemble Neural Network. NeurIPS Shaofeng Zhang, Meng Liu, Junchi Yan
2020	A*	`conf`	Towards Transferable Targeted Attack. CVPR Maosen Li, Cheng Deng, Tengjiao Li, Junchi Yan, Xinbo Gao, Heng Huang
2020	J	`jnl`	Unsupervised learning of optical flow with patch consistency and occlusion estimation. Pattern Recognit. Zhe Ren, Junchi Yan, Xiaokang Yang, Alan L. Yuille, Hongyuan Zha
2020	J	`jnl`	Video Content Analysis for Compliance Audit in Finance and Security Industry. IEEE Access Bin Liu, Mingyu Wu, Minze Tao, Qin Wang, Luye He, Guoliang Shen, Kai Chen, Junchi Yan
2019	A*	`conf`	Asymmetric Cross-Guided Attention Network for Actor and Action Video Segmentation From Natural Language Query. ICCV Hao Wang, Cheng Deng, Junchi Yan, Dacheng Tao
2019	J	`jnl`	Bridging Disentanglement with Independence and Conditional Independence via Mutual Information for Representation Learning. CoRR Xiaojiang Yang, Wendong Bi, Yu Cheng, Junchi Yan
2019	J	`jnl`	Decoding Spiking Mechanism with Dynamic Learning on Neuron Population. CoRR Zhijie Chen, Junchi Yan, Longyuan Li, Xiaokang Yang
2019	A*	`conf`	Deep Spectral Clustering Using Dual Autoencoder Network. CVPR Xu Yang, Cheng Deng, Feng Zheng, Junchi Yan, Wei Liu
2019	J	`jnl`	Deep Spectral Clustering using Dual Autoencoder Network. CoRR Xu Yang, Cheng Deng, Feng Zheng, Junchi Yan, Wei Liu
2019	—	`conf`	Differential Privacy with Variant-Noise for Gaussian Processes Classification. PRICAI (3) Zhili Xiong, Longyuan Li, Junchi Yan, Haiyang Wang, Hao He, Yaohui Jin
2019	J	`jnl`	Editorial. Pattern Recognit. Lett. Junchi Yan, Minsu Cho, Francesc Serratosa, Gui-Song Xia, Yinqiang Zheng
2019	A	`conf`	Fast Unsupervised Location Category Inference from Highly Inaccurate Mobility Data. SDM Jinfeng Yi, Qi Lei, Wesley M. Gifford, Ji Liu, Junchi Yan, Bowen Zhou
2019	A*	`conf`	Graph Convolutional Network Hashing for Cross-Modal Retrieval. IJCAI Ruiqing Xu, Chao Li, Junchi Yan, Cheng Deng, Xianglong Liu
2019	J	`jnl`	Heterogeneous Graph-based Knowledge Transfer for Generalized Zero-shot Learning. CoRR Junjie Wang, Xiangfeng Wang, Bo Jin, Junchi Yan, Wenjie Zhang, Hongyuan Zha
2019	J	`jnl`	Joint Active Learning with Feature Selection via CUR Matrix Decomposition. IEEE Trans. Pattern Anal. Mach. Intell. Changsheng Li, Xiangfeng Wang, Weishan Dong, Junchi Yan, Qingshan Liu, Hongyuan Zha
2019	A*	`conf`	Joint Link Prediction and Network Alignment via Cross-graph Embedding. IJCAI Xingbo Du, Junchi Yan, Hongyuan Zha
2019	A*	`conf`	Learning Combinatorial Embedding Networks for Deep Graph Matching. ICCV Runzhong Wang, Junchi Yan, Xiaokang Yang
2019	J	`jnl`	Learning Combinatorial Embedding Networks for Deep Graph Matching. CoRR Runzhong Wang, Junchi Yan, Xiaokang Yang
2019	A*	`conf`	Learning Interpretable Deep State Space Model for Probabilistic Time Series Forecasting. IJCAI Longyuan Li, Junchi Yan, Xiaokang Yang, Yaohui Jin
2019	A*	`conf`	Learning Latent Process from High-Dimensional Event Sequences via Efficient Sampling. NeurIPS Qitian Wu, Zixuan Zhang, Xiaofeng Gao, Junchi Yan, Guihai Chen
2019	J	`jnl`	Learning Latent Process from High-Dimensional Event Sequences via Efficient Sampling. CoRR Qitian Wu, Zixuan Zhang, Xiaofeng Gao, Junchi Yan, Guihai Chen
2019	J	`jnl`	Learning Time Series Associated Event Sequences With Recurrent Point Process Networks. IEEE Trans. Neural Networks Learn. Syst. Shuai Xiao, Junchi Yan, Mehrdad Farajtabar, Le Song, Xiaokang Yang, Hongyuan Zha
2019	A*	`conf`	Modeling and Applications for Temporal Point Processes. KDD Junchi Yan, Hongteng Xu, Liangda Li
2019	J	`jnl`	Neural Graph Matching Network: Learning Lawler's Quadratic Assignment Problem with Extension to Hypergraph and Multiple-graph Matching. CoRR Runzhong Wang, Junchi Yan, Xiaokang Yang
2019	J	`jnl`	R3Det: Refined Single-Stage Detector with Feature Refinement for Rotating Object. CoRR Xue Yang, Qingqing Liu, Junchi Yan, Ang Li
2019	J	`jnl`	Reinforcement Learning with Policy Mixture Model for Temporal Point Processes Clustering. CoRR Weichang Wu, Junchi Yan, Xiaokang Yang, Hongyuan Zha
2019	A*	`conf`	SCRDet: Towards More Robust Detection for Small, Cluttered and Rotated Objects. ICCV Xue Yang, Jirui Yang, Junchi Yan, Yue Zhang, Tengfei Zhang, Zhi Guo, Xian Sun, Kun Fu
2019	J	`jnl`	Special issue on deep learning for intelligent sensing, decision-making and control. Neurocomputing Wei Zhang, Junchi Yan, Zhi-Yong Liu, Zhigang Zeng
2019	A	`conf`	Synergizing Local and Global Models for Matrix Approximation. CIKM Chao Chen, Hao Zhang, Dongsheng Li, Junchi Yan, Xiaokang Yang
2019	A*	`conf`	TransMS: Knowledge Graph Embedding for Complex Relations by Multidirectional Semantics. IJCAI Shihui Yang, Jidong Tian, Honglun Zhang, Junchi Yan, Hao He, Yaohui Jin
2019	A*	`conf`	Transferable AutoML by Model Sharing Over Grouped Datasets. CVPR Chao Xue, Junchi Yan, Rong Yan, Stephen M. Chu, Yonggang Hu, Yonghua Lin
2018	J	`jnl`	A Self-Paced Regularization Framework for Multilabel Learning. IEEE Trans. Neural Networks Learn. Syst. Changsheng Li, Fan Wei, Junchi Yan, Xiaoyu Zhang, Qingshan Liu, Hongyuan Zha
2018	J	`jnl`	Adaptive Discrete Hypergraph Matching. IEEE Trans. Cybern. Junchi Yan, Changsheng Li, Yin Li, Guitao Cao
2018	J	`jnl`	Collaborative Filtering with Stability. CoRR Dongsheng Li, Chao Chen, Qin Lv, Junchi Yan, Li Shang, Stephen M. Chu
2018	A*	`conf`	Collaborative and Attentive Learning for Personalized Image Aesthetic Assessment. IJCAI Guolong Wang, Junchi Yan, Zheng Qin
2018	J	`jnl`	Contour detection via stacking random forest learning. Neurocomputing Chao Zhang, Junchi Yan, Changsheng Li, Rongfang Bie
2018	A*	`conf`	Decoupled Learning for Factorial Marked Temporal Point Processes. KDD Weichang Wu, Junchi Yan, Xiaokang Yang, Hongyuan Zha
2018	J	`jnl`	Decoupled Learning for Factorial Marked Temporal Point Processes. CoRR Weichang Wu, Junchi Yan, Xiaokang Yang, Hongyuan Zha
2018	B	`conf`	Deep Extreme Multi-label Learning. ICMR Wenjie Zhang, Junchi Yan, Xiangfeng Wang, Hongyuan Zha
2018	J	`jnl`	End-to-end learning for image-based air quality level estimation. Mach. Vis. Appl. Chao Zhang, Junchi Yan, Changsheng Li, Hao Wu, Rongfang Bie
2018	A*	`conf`	Generalizing Graph Matching beyond Quadratic Assignment Model. NeurIPS Tianshu Yu, Junchi Yan, Yilin Wang, Wei Liu, Baoxin Li
2018	A*	`conf`	Group Re-Identification: Leveraging and Integrating Multi-Grain Information. ACM Multimedia Hao Xiao, Weiyao Lin, Bin Sheng, Ke Lu, Junchi Yan, Jingdong Wang, Errui Ding, Yihao Zhang, Hongkai Xiong
2018	A*	`conf`	Improving Maximum Likelihood Estimation of Temporal Point Process via Discriminative and Adversarial Learning. IJCAI Junchi Yan, Xin Liu, Liangliang Shi, Changsheng Li, Hongyuan Zha
2018	—	`conf`	Incremental Multi-graph Matching via Diversity and Randomness Based Graph Clustering. ECCV (13) Tianshu Yu, Junchi Yan, Wei Liu, Baoxin Li
2018	A*	`conf`	Joint Cuts and Matching of Partitions in One Graph. CVPR Tianshu Yu, Junchi Yan, Jieyi Zhao, Baoxin Li
2018	A*	`conf`	Learning Conditional Generative Models for Temporal Point Processes. AAAI Shuai Xiao, Hongteng Xu, Junchi Yan, Mehrdad Farajtabar, Xiaokang Yang, Le Song, Hongyuan Zha
2018	A*	`conf`	Learning Sequential Correlation for User Generated Textual Content Popularity Prediction. IJCAI Wen Wang, Wei Zhang, Jun Wang, Junchi Yan, Hongyuan Zha
2018	A	`conf`	Multi-Label Dilated Recurrent Network for Sequential Face Alignment. ICME Tong Yang, Shizheng Qin, Junchi Yan, Wenqiang Zhang
2018	J	`jnl`	On the flexibility of block coordinate descent for large-scale optimization. Neurocomputing Xiangfeng Wang, Wenjie Zhang, Junchi Yan, Xiaoming Yuan, Hongyuan Zha
2018	J	`jnl`	Publication Popularity Modeling via Adversarial Learning of Profile-Specific Dynamic Process. IEEE Access Shuai Xiao, Junchi Yan, Xiaokang Yang, Hongyuan Zha
2018	—	`conf`	Session Expert: a Lightweight Conference Session Recommender System. IEEE BigData Jinfeng Yi, Qi Lei, Junchi Yan, Wei Sun
2018	A*	`conf`	Tau-FPL: Tolerance-Constrained Learning in Linear Time. AAAI Ao Zhang, Nan Li, Jian Pu, Jun Wang, Junchi Yan, Hongyuan Zha
2018	A*	`conf`	Weakly Supervised Audio Source Separation via Spectrum Energy Preserved Wasserstein Learning. IJCAI Ning Zhang, Junchi Yan, Yuchen Zhou
2018	J	`jnl`	tau-FPL: Tolerance-Constrained Learning in Linear Time. CoRR Ao Zhang, Nan Li, Jian Pu, Jun Wang, Junchi Yan, Hongyuan Zha
2017	—	`conf`	A Divide-and-Conquer Approach for Large-Scale Multi-label Learning. BigMM Wenjie Zhang, Xiangfeng Wang, Junchi Yan, Hongyuan Zha
2017	J	`jnl`	A Tube-and-Droplet-Based Approach for Representing and Analyzing Motion Trajectories. IEEE Trans. Pattern Anal. Mach. Intell. Weiyao Lin, Yang Zhou, Hongteng Xu, Junchi Yan, Mingliang Xu, Jianxin Wu, Zicheng Liu
2017	J	`jnl`	A hybrid approach for risk assessment of loan guarantee network. CoRR Zhibin Niu, Dawei Cheng, Junchi Yan, Jiawan Zhang, Liqing Zhang, Hongyuan Zha
2017	J	`jnl`	Attention based convolutional neural network for predicting RNA-protein binding sites. CoRR Xiaoyong Pan, Junchi Yan
2017	J	`jnl`	Deep Extreme Multi-label Learning. CoRR Wenjie Zhang, Liwei Wang, Junchi Yan, Xiangfeng Wang, Hongyuan Zha
2017	A	`conf`	Early Air Pollution Forecasting as a Service: An Ensemble Learning Approach. ICWS Chao Zhang, Junchi Yan, Yunting Li, Feng Sun, Jinghai Yan, Dawei Zhang, Xiaoguang Rui, Rongfang Bie
2017	A*	`conf`	Fractal Dimension Invariant Filtering and Its CNN-Based Implementation. CVPR Hongteng Xu, Junchi Yan, Nils Persson, Weiyao Lin, Hongyuan Zha
2017	A*	`conf`	GLOMA: Embedding Global Information in Local Matrix Approximation Models for Collaborative Filtering. AAAI Chao Chen, Dongsheng Li, Qin Lv, Junchi Yan, Li Shang, Stephen M. Chu
2017	J	`jnl`	Guest Editorial: Visual Multimedia Learning from Big Surveillance Data. Multim. Tools Appl. Zheng Xu, Junchi Yan, Richard Yida Xu, Lin Mei
2017	A	`conf`	Hybrid Measurement of Air Quality as a Mobile Service: An Image Based Approach. ICWS Chao Zhang, Baoxian Liu, Junchi Yan, Jinghai Yan, Lingjun Li, Dawei Zhang, Xiaoguang Rui, Rongfang Bie
2017	J	`jnl`	Joint Cuts and Matching of Partitions in One Graph. CoRR Tianshu Yu, Junchi Yan, Jieyi Zhao, Baoxin Li
2017	J	`jnl`	Joint Modeling of Event Sequence and Time Series with Attentional Twin Recurrent Neural Networks. CoRR Shuai Xiao, Junchi Yan, Mehrdad Farajtabar, Le Song, Xiaokang Yang, Hongyuan Zha
2017	J	`jnl`	Learning Correspondence Structures for Person Re-Identification. IEEE Trans. Image Process. Weiyao Lin, Yang Shen, Junchi Yan, Mingliang Xu, Jianxin Wu, Jingdong Wang, Ke Lu
2017	J	`jnl`	Learning Correspondence Structures for Person Re-identification. CoRR Weiyao Lin, Yang Shen, Junchi Yan, Mingliang Xu, Jianxin Wu, Jingdong Wang, Ke Lu
2017	J	`jnl`	Modeling The Intensity Function Of Point Process Via Recurrent Neural Networks. CoRR Shuai Xiao, Junchi Yan, Stephen M. Chu, Xiaokang Yang, Hongyuan Zha
2017	A*	`conf`	Modeling the Intensity Function of Point Process Via Recurrent Neural Networks. AAAI Shuai Xiao, Junchi Yan, Xiaokang Yang, Hongyuan Zha, Stephen M. Chu
2017	A*	`conf`	On Predictive Patent Valuation: Forecasting Patent Citations and Their Types. AAAI Xin Liu, Junchi Yan, Shuai Xiao, Xiangfeng Wang, Hongyuan Zha, Stephen M. Chu
2017	A*	`conf`	Personalized Key Frame Recommendation. SIGIR Xu Chen, Yongfeng Zhang, Qingyao Ai, Hongteng Xu, Junchi Yan, Zheng Qin
2017	A*	`conf`	Self-Paced Multi-Task Learning. AAAI Changsheng Li, Junchi Yan, Fan Wei, Weishan Dong, Qingshan Liu, Hongyuan Zha
2017	J	`jnl`	Tracking Based Multi-Orientation Scene Text Detection: A Unified Framework With Dynamic Programming. IEEE Trans. Image Process. Chun Yang, Xu-Cheng Yin, Wei-Yi Pei, Shu Tian, Ze-Yu Zuo, Chao Zhu, Junchi Yan
2017	—	`conf`	Transductive Non-linear Learning for Chinese Hypernym Prediction. ACL (1) Chengyu Wang, Junchi Yan, Aoying Zhou, Xiaofeng He
2017	J	`jnl`	Unsupervised Audio Source Separation via Spectrum Energy Preserved Wasserstein Learning. CoRR Ning Zhang, Junchi Yan, Yu Chen Zhou
2017	A*	`conf`	Unsupervised Deep Learning for Optical Flow Estimation. AAAI Zhe Ren, Junchi Yan, Bingbing Ni, Bin Liu, Xiaokang Yang, Hongyuan Zha
2017	J	`jnl`	Visual analytics for loan guarantee network risk management. CoRR Dawei Cheng, Zhibin Niu, Junchi Yan, Jiawan Zhang, Liqing Zhang
2017	—	`conf`	Wasserstein Learning of Deep Generative Point Process Models. NIPS Shuai Xiao, Mehrdad Farajtabar, Xiaojing Ye, Junchi Yan, Xiaokang Yang, Le Song, Hongyuan Zha
2017	J	`jnl`	Wasserstein Learning of Deep Generative Point Process Models. CoRR Shuai Xiao, Mehrdad Farajtabar, Xiaojing Ye, Junchi Yan, Le Song, Hongyuan Zha
2016	J	`jnl`	A Fractal-based CNN for Detecting Complicated Curves in AFM Images. CoRR Hongteng Xu, Junchi Yan, Nils Persson, Hongyuan Zha
2016	J	`jnl`	A Self-Paced Regularization Framework for Multi-Label Learning. CoRR Changsheng Li, Fan Wei, Junchi Yan, Weishan Dong, Qingshan Liu, Xiaoyu Zhang
2016	B	`conf`	A Short Survey of Recent Advances in Graph Matching. ICMR Junchi Yan, Xu-Cheng Yin, Weiyao Lin, Cheng Deng, Hongyuan Zha, Xiaokang Yang
2016	J	`jnl`	A Tube-and-Droplet-based Approach for Representing and Analyzing Motion Trajectories. CoRR Weiyao Lin, Yang Zhou, Hongteng Xu, Junchi Yan, Mingliang Xu, Jianxin Wu, Zicheng Liu
2016	B	`conf`	A constrained clustering based approach for matching a collection of feature sets. ICPR Junchi Yan, Zhe Ren, Hongyuan Zha, Stephen M. Chu
2016	J	`jnl`	A constrained clustering based approach for matching a collection of feature sets. CoRR Junchi Yan, Zhe Ren, Hongyuan Zha, Stephen M. Chu
2016	J	`jnl`	Discriminative Dictionary Learning With Common Label Alignment for Cross-Modal Retrieval. IEEE Trans. Multim. Cheng Deng, Xu Tang, Junchi Yan, Wei Liu, Xinbo Gao
2016	—	`conf`	End-to-End Solution with Clustering Method for Attrition Analysis. SCC Nianjun Zhou, Wesley M. Gifford, Junchi Yan, Hongfei Li
2016	J	`jnl`	Joint Prediction of Rating and Popularity for Cold-Start Item by Sentinel User Selection. IEEE Access Zhongchen Miao, Junchi Yan, Kai Chen, Xiaokang Yang, Hongyuan Zha, Wenjun Zhang
2016	A*	`conf`	Low-Rank Matrix Approximation with Stability. ICML Dongsheng Li, Chao Chen, Qin Lv, Junchi Yan, Li Shang, Stephen M. Chu
2016	A*	`conf`	MPMA: Mixture Probabilistic Matrix Approximation for Collaborative Filtering. IJCAI Chao Chen, Dongsheng Li, Qin Lv, Junchi Yan, Stephen M. Chu, Li Shang
2016	A*	`conf`	Modeling Contagious Merger and Acquisition via Point Processes with a Profile Regression Prior. IJCAI Junchi Yan, Shuai Xiao, Changsheng Li, Bo Jin, Xiangfeng Wang, Bin Ke, Xiaokang Yang, Hongyuan Zha
2016	J	`jnl`	Multi-Graph Matching via Affinity Optimization with Graduated Consistency Regularization. IEEE Trans. Pattern Anal. Mach. Intell. Junchi Yan, Minsu Cho, Hongyuan Zha, Xiaokang Yang, Stephen M. Chu
2016	A*	`conf`	On Estimating Air Pollution from Photos Using Convolutional Neural Network. ACM Multimedia Chao Zhang, Junchi Yan, Changsheng Li, Xiaoguang Rui, Liang Liu, Rongfang Bie
2016	A*	`conf`	On Modeling and Predicting Individual Paper Citation Count over Time. IJCAI Shuai Xiao, Junchi Yan, Changsheng Li, Bo Jin, Xiangfeng Wang, Xiaokang Yang, Stephen M. Chu, Hongyuan Zha
2016	—	`conf`	Parallel Randomized Block Coordinate Descent for Neural Probabilistic Language Model with High-Dimensional Output Targets. CCPR (2) Xin Liu, Junchi Yan, Xiangfeng Wang, Hongyuan Zha
2016	J	`jnl`	Self-Paced Multi-Task Learning. CoRR Changsheng Li, Fan Wei, Junchi Yan, Weishan Dong, Qingshan Liu, Hongyuan Zha
2016	A*	`conf`	Spatially Regularized Streaming Sensor Selection. AAAI Changsheng Li, Fan Wei, Weishan Dong, Xiangfeng Wang, Junchi Yan, Xiaobin Zhu, Qingshan Liu, Xin Zhang
2015	J	`jnl`	A General Multi-Graph Matching Approach via Graduated Consistency-regularized Boosting. CoRR Junchi Yan, Minsu Cho, Hongyuan Zha, Xiaokang Yang, Stephen M. Chu
2015	A*	`conf`	A Matrix Decomposition Perspective to Multiple Graph Matching. ICCV Junchi Yan, Hongteng Xu, Hongyuan Zha, Xiaokang Yang, Huanxi Liu, Stephen M. Chu
2015	J	`jnl`	Active Sample Learning and Feature Selection: A Unified Approach. CoRR Changsheng Li, Xiangfeng Wang, Weishan Dong, Junchi Yan, Qingshan Liu, Hongyuan Zha
2015	J	`jnl`	Consistency-Driven Alternating Optimization for Multigraph Matching: A Unified Approach. IEEE Trans. Image Process. Junchi Yan, Jun Wang, Hongyuan Zha, Xiaokang Yang, Stephen M. Chu
2015	—	`ch.`	Digital IIR Filter Design with Fix-Point Representation Using Effective Evolutionary Local Search Enhanced Differential Evolution. Computational Intelligence in Digital and Network Designs and Applications Yu Wang, Weishan Dong, Junchi Yan, Li Li, Chunhua Tian, Chao Zhang, Zhihu Wang, Chunyang Ma
2015	A*	`conf`	Discrete hyper-graph matching. CVPR Junchi Yan, Chao Zhang, Hongyuan Zha, Wei Liu, Xiaokang Yang, Stephen M. Chu
2015	A*	`conf`	Multi-View Point Registration via Alternating Optimization. AAAI Junchi Yan, Jun Wang, Hongyuan Zha, Xiaokang Yang, Stephen M. Chu
2015	A*	`conf`	On Machine Learning towards Predictive Sales Pipeline Analytics. AAAI Junchi Yan, Chao Zhang, Hongyuan Zha, Min Gong, Changhua Sun, Jin Huang, Stephen M. Chu, Xiaokang Yang
2015	A*	`conf`	Person Re-Identification with Correspondence Structure Learning. ICCV Yang Shen, Weiyao Lin, Junchi Yan, Mingliang Xu, Jianxin Wu, Jingdong Wang
2015	J	`jnl`	Person Re-identification with Correspondence Structure Learning. CoRR Yang Shen, Weiyao Lin, Junchi Yan, Mingliang Xu, Jianxin Wu, Jingdong Wang
2015	—	`conf`	Person re-identification fusing via ranking consensus. ICIMCS Yang Shen, Weiyao Lin, Junchi Yan, Youping Zhong, Bing Zhou, Huiqing Yin
2015	B	`conf`	Sales pipeline win propensity prediction: A regression approach. IM Junchi Yan, Min Gong, Changhua Sun, Jin Huang, Stephen M. Chu
2015	J	`jnl`	Sales pipeline win propensity prediction: a regression approach. CoRR Junchi Yan, Min Gong, Changhua Sun, Jin Huang, Stephen M. Chu
2014	—	`conf`	Graduated Consistency-Regularized Optimization for Multi-graph Matching. ECCV (1) Junchi Yan, Yin Li, Wei Liu, Hongyuan Zha, Xiaokang Yang, Stephen Mingyu Chu
2014	A	`conf`	Maximizing Multi-scale Spatial Statistical Discrepancy. CIKM Weishan Dong, Renjie Yao, Chunyang Ma, Changsheng Li, Lei Shi, Lu Wang, Yu Wang, Peng Gao, Junchi Yan
2014	J	`jnl`	Predicting protein-RNA interaction amino acids using random forest based on submodularity subset selection. Comput. Biol. Chem. Xiaoyong Pan, Lin Zhu, Yong-Xian Fan, Junchi Yan
2014	B	`conf`	Sufficient Statistics Feature Mapping over Deep Boltzmann Machine for Detection. ICPR Chao Zhang, Xiong Li, Junchi Yan, Stephen Qui, Yu Wang, Chunhua Tian, Yuming Zhao
2013	J	`jnl`	Digitize Your Body and Action in 3-D at Over 10 FPS: Real Time Dense Voxel Reconstruction and Marker-less Motion Tracking via GPU Acceleration. CoRR Jian Song, Yatao Bian, Junchi Yan, Xu Zhao, Yuncai Liu
2013	A*	`conf`	Joint Optimization for Consistent Multiple Graph Matching. ICCV Junchi Yan, Yu Tian, Hongyuan Zha, Xiaokang Yang, Ya Zhang, Stephen M. Chu
2013	A*	`conf`	Towards Effective Prioritizing Water Pipe Replacement and Rehabilitation. IJCAI Junchi Yan, Yu Wang, Ke Zhou, Jin Huang, Chunhua Tian, Hongyuan Zha, Weishan Dong
2013	J	`jnl`	Two-stage based ensemble optimization framework for large-scale global optimization. Eur. J. Oper. Res. Yu Wang, Jin Huang, Weishan Dong, Junchi Yan, Chunhua Tian, Min Li, Wen Ting Mo
2012	—	`conf`	A survey on oil / gas pipeline optimization: Problems, methods and challenges. SOLI Yu Wang, Chunhua Tian, Junchi Yan, Jin Huang
2012	—	`conf`	Experimental analysis of different optimization techniques on leakage localization using series alignment. SOLI Yu Wang, Junchi Yan, Chunhua Tian, Weishan Dong, Jin Huang
2012	—	`conf`	Load forecasting using Twin Gaussian Process model. SOLI Junchi Yan, Chunhua Tian, Jin Huang, Yu Wang
2012	—	`conf`	Negative pressure wave based pipeline Leak Detection: Challenges and algorithms. SOLI Chunhua Tian, Junchi Yan, Jin Huang, Yu Wang, Dong-Sup Kim, Tongnyoul Yi
2012	—	`conf`	On the Convergence of Graph Matching: Graduated Assignment Revisited. ECCV (3) Yu Tian, Junchi Yan, Hequan Zhang, Ya Zhang, Xiaokang Yang, Hongyuan Zha
2012	—	`conf`	Online incremental regression for electricity price prediction. SOLI Junchi Yan, Chunhua Tian, Yu Wang, Jin Huang
2011	Misc	`conf`	A Double-Layer Model for Foreground Detection from Video Sequence. ICIG Huanxi Liu, Junchi Yan, Jun Zhu, Xiaowei Lv, Xiong Li, Tianhong Zhu, Yuncai Liu
2011	Misc	`conf`	Sparse Feature Learning for Visual Tracking by Least Absolute Shrinkage and Selection Operator. ICIG Minglei Tong, Junchi Yan, Huanxi Liu, Hong Han
2011	C	`conf`	Weighted sparse coding residual minimization for visual tracking. VCIP Junchi Yan, Minglei Tong
2010	Misc	`conf`	A Bayesian framework for 3D human motion tracking from monocular image. ICASSP Jian Liu, Junchi Yan, Minglei Tong, Yuncai Liu
2010	J	`jnl`	An Optimization Based Framework for Human Pose Estimation. IEEE Signal Process. Lett. Junchi Yan, Shuhan Shen, Yin Li, Yuncai Liu
2010	B	`conf`	Model-based 3D human motion tracking and voxel reconstruction from sparse views. ICIP Junchi Yan, Jian Song, Liwei Wang, Yuncai Liu
2010	—	`conf`	Optimum Subspace Learning and Error Correction for Tensors. ECCV (3) Yin Li, Junchi Yan, Yue Zhou, Jie Yang
2010	B	`conf`	Tensor error correction for corrupted values in visual data. ICIP Yin Li, Yue Zhou, Junchi Yan, Jie Yang, Xiangjian He
2010	J	`jnl`	Visual Saliency Detection via Sparsity Pursuit. IEEE Signal Process. Lett. Junchi Yan, Mengyuan Zhu, Huanxi Liu, Yuncai Liu
2010	B	`conf`	Visual saliency detection via rank-sparsity decomposition. ICIP Junchi Yan, Jian Liu, Yin Li, Zhibin Niu, Yuncai Liu
2009	—	`conf`	An Accelerated Human Motion Tracking System Based on Voxel Reconstruction under Complex Environments. ACCV (2) Junchi Yan, Yin Li, Enliang Zheng, Yuncai Liu
2009	Misc	`conf`	Improving Semantic Scene Categorization by Exploiting Audio-Visual Features. ICIG Songhao Zhu, Junchi Yan, Yuncai Liu
2009	Misc	`conf`	Markless Human Motion Capture by Voxel Labeling. ICIG Junchi Yan, Jian Liu, Yuncai Liu
2009	—	`conf`	Visual Saliency Based on Conditional Entropy. ACCV (1) Yin Li, Yue Zhou, Junchi Yan, Zhibin Niu, Jie Yang