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。
  1. 报告人可以是教师,也可以是学生;
  2. 研讨会只提供展示和交流的机会,不出版文集;
  3. 申请表需严格按照此格式返回;
  4. 由于报告时间有限,可能会有一些很好的 Spotlight 不能获得展示机会,请谅解;
  5. 注意事项:
    • 申请表提交截止时间:10月20日 23:59:59
    • 申请表请通过Email发送到:mla2023@lamda.nju.edu.cn, 并以“MLA2023顶会论文交流+姓名+论文发表地”作为邮件标题;
      申请表下载
Poster Spotlight Session (I)

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

Poster Spotlight Session (II)

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