顶会论文交流 |
顶会论文交流环节拟邀请过去一年在 ICML、NeurIPS、COLT、KDD、IJCAI、AAAI、CVPR、ICCV
等顶级国际会议上发表论文的作者前来交流。交流形式为
“Spotlight + Poster”
。作者首先就论文内容在会上做简短报告,时间为2分钟(120秒),之后在墙展报告环节与参会者进行面对面深入交流。值得一提的是,简短报告最好具有一定的吸引性,那样有助于吸引更多参会者通过墙展报告环节了解您的研究工作。 如果您希望得到成果展示的机会,请按照此格式提交申请表。该申请表将由专家进行评审,通过评审的申请人将获得 Spotlight 展出的机会。
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序号 | 报告人 | 报告人单位 | 论文题目 | 会议名称 |
1 | 储德军 | 合肥工业大学 | Structured BFGS Method for Optimal Doubly Stochastic Matrix Approximation | AAAI 2023 |
2 | 李泊岐 | 武汉大学 | WAT: Improve the Worst-Class Robustness in Adversarial Training [Paper] | AAAI 2023 |
3 | 彭嘉炜 | 东南大学 | Transforming Visual Scene Graphs to Image Captions [Paper] [Slides] | ACL 2023 |
4 | 张子函 | 华中科技大学 | Decoupling MaxLogit for Out-of-Distribution Learning | CVPR 2023 |
5 | 沈阳 | 南京理工大学 | Equiangular Basis Vectors | CVPR 2023 |
6 | 项翔 | 华中科技大学 | Coarse-To-Fine Incremental Few-Shot Learning | ECCV 2022 |
7 | 王梦如 | 浙江大学 | Editing Large Language Models: Problems, Methods, and Opportunities [Paper] [Slides] | EMNLP 2023 |
8 | 卢杨 | 厦门大学 | Label-Noise Learning with Intrinsically Long-Tailed Data [Paper] [Slides] | ICCV 2023 |
9 | 周预演 | 南京航空航天大学 | Improving Lens Flare Removal with General Purpose Pipeline and Multiple Light Sources Recovery [Paper] | ICCV 2023 |
10 | 薄德瑜 | 北京邮电大学 | Specformer: Spectral Graph Neural Networks Meet Transformers [Paper] [Slides] | ICLR 2023 |
11 | 曹晓锋 | 吉林大学 | Nonparametric Iterative Machine Teaching [Paper] [Slides] | ICML 2023 |
12 | 董裕欣 | 西安交通大学 | Understanding the Generalization Ability of Deep Learning Algorithms: A Kernelized Renyi's Entropy Perspective [Paper] [Slides] | IJCAI 2023 |
13 | 马逸凡 | 南京大学 | Capturing the Long-Distance Dependency in the Control Flow Graph via Structural-Guided Attention for Bug Localization [Paper] [Slides] | IJCAI 2023 |
14 | 刘嘉聿 | 中国科学技术大学 | Guiding Mathematical Reasoning via Mastering Commonsense Formula Knowledge [Paper] [Slides] | KDD 2023 |
15 | 高金彤 | 吉林大学 | Enhancing Minority Classes by Mixing: An Adaptative Optimal Transport Approach for Long-tailed Classification [Paper] [Slides] | NeurIPS 2023 |
16 | 耿子介 | 中国科学技术大学 | A Deep Instance Generative Framework for MILP Solvers Under Limited Data Availability [Paper] [Slides] | NeurIPS 2023 |
17 | 贾宇欣 | 北京交通大学 | WITRAN: Water-wave Information Transmission and Recurrent Acceleration Network for Long-range Time Series Forecasting [Paper] [Slides] | NeurIPS 2023 |
18 | 罗子涵 | 华中科技大学 | Cross-links Matter for Link Prediction: Rethinking the Debiased GNN from a Data Perspective | NeurIPS 2023 |
19 | 吕帜一 | 西安电子科技大学 | Few-shot Generation via Recalling the Episodic-Semantic Memory like Human Being | NeurIPS 2023 |
20 | 侍蒋鑫 | 南京大学 | How Re-sampling Helps for Long-Tail Learning? [Paper] [Slides] | NeurIPS 2023 |
21 | 侍昀琦 | 南京大学 | Macro placement by wire-mask-guided black-box optimization | NeurIPS 2023 |
22 | 唐伟 | 东南大学 | Disambiguated attention embedding for multi-instance partial-label learning [Paper] [Slides] | NeurIPS 2023 |
23 | 郑晨宇 | 中国人民大学 | Toward Understanding Generative Data Augmentation | NeurIPS 2023 |
24 | 程明月 | 中国科学技术大学 | FormerTime: Hierarchical Multi-Scale Representations for Multivariate Time Series Classification [Paper] [Slides] | WWW 2023 |
序号 | 报告人 | 报告人单位 | 论文题目 | 会议名称 |
1 | 王庆梅 | 中国人民大学 | Hierarchical Contrastive Learning for Temporal Point Processes [Paper] [Slides] | AAAI 2023 |
2 | 卓胜达 | 暨南大学 | Online Semi-Supervised Learning with Mix-Typed Streaming Features [Paper] [Slides] | AAAI 2023 |
3 | 李悫炜 | 南京大学 | UHDNeRF: Ultra-High-Definition Neural Radiance Fields [Paper] [Slides] | ICCV 2023 |
4 | 周大蔚 | 南京大学 | A Model or 603 Exemplars: Towards Memory-Efficient Class-Incremental Learning [Paper] [Slides] | ICLR 2023 |
5 | 高瑞 | 武汉大学 | DDGR: Continual Learning with Deep Diffusion-based Generative Replay | ICML 2023 |
6 | 刘彪 | 东南大学 | Revisiting Pseudo-Label for Single-Positive Multi-Label Learning [Paper] [Slides] | ICML 2023 |
7 | 丁诗哲 | 中国科学院计算技术研究所 | Accurate Interpolation for Scattered Data through Hierarchical Residual Refinement [Paper] [Slides] | NeurIPS 2023 |
8 | 吴泳良 | 东南大学 | Exploring Diverse In-Context Configurations for Image Captioning [Paper] [Slides] | NeurIPS 2023 |
9 | 徐明伟 | 吉林大学 | Nonparametric Teaching for Multiple Learners [Paper] [Slides] | NeurIPS 2023 |
10 | 闫雨呼 | 南京大学 | Universal Online Learning with Gradual Variations: A Multi-layer Online Ensemble Approach | NeurIPS 2023 |
11 | 游泽彬 | 中国人民大学 | Diffusion Models and Semi-Supervised Learners Benefit Mutually with Few Labels [Paper] [Slides] | NeurIPS 2023 |
12 | 庄严 | 中国科学技术大学 | A Bounded Ability Estimation for Computerized Adaptive Testing [Paper] [Slides] | NeurIPS 2023 |