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Affinity Event

New In ML

Tianyu Zhang ⋅ Andrew Williams ⋅ Zach Xu ⋅ Lu Li ⋅ Edwin Zhang ⋅ Juan A. Rodriguez ⋅ Suyuchen Wang ⋅ Felix Friedrich ⋅ Perouz Taslakian ⋅ Sai Rajeswar ⋅ Spandana Gella ⋅ Irina Rish ⋅ Jie Fu

2025 Affinity Event

Project Page

Abstract

The New In ML workshop is an affinity workshop which designed to empower early-career machine learning researchers by providing mentorship, practical guidance, and an inclusive forum for professional growth. This workshop will feature keynote sessions, including a discussion on AI research principles (including AI safety), as well as targeted talks from leaders in academia and industry, covering topics such as research best practices, reproducibility, and the effective use of large language models for coding, writing, and reviewing. Participants are invited to submit their work through a dual-track call for papers, comprising a main track for preliminary research and a reproducibility track aimed at validating existing findings. Through interactive sessions, personalized feedback from senior reviewers, and comprehensive career guidance, the workshop aims to cultivate a collaborative community that supports the transition of new researchers into competitive, impactful contributors in the field of machine learning.

Video

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Schedule

Timezone: Asia/Seoul

12:30 AM

Welcoming Remarks

Video

12:40 AM

Keynote

Video

1:25 AM

Coffee Break

1:35 AM

Best Paper Presentation

Video

2:00 AM

Keynote

Video

2:45 AM

Break

2:55 AM

Best Paper Presentation

Video

3:20 AM

Poster Session and Social

4:30 AM

Lunch

5:00 AM

Keynote

Video

5:45 AM

Break

5:55 AM

Invited Talk

Video

6:20 AM

Keynote

Video

7:05 AM

Break

7:15 AM

Best Paper Presentation

Video

7:40 AM

Best Paper Presentation

Video

8:05 AM

Poster Session and Social

Enhancing Decoder for Graph Automorphic Node Equivalence in Link Prediction

Yule Liu ⋅ beiyuan yang ⋅ Xinlei He ⋅ Jie Zheng

DFYP: Dynamic CNN and ViT Fusion with Adaptive Sobel-Convolution for Enhanced Crop Yield Prediction

Zeyu Yan ⋅ Juli Zhang ⋅ Jing Zhang ⋅ Ma Zhong ⋅ Qiguang Miao ⋅ Quan Wang

Bio-Cryptography: Dual Deep Learning Framework for Protein Watermarking via Geometric-Chemical Fingerprinting

Xu Wang ⋅ Tin-Yeh Huang ⋅ Zhaorui Jiang ⋅ Yiquan Wang

EduInsightLLM: Hierarchical Large Language Models for Interpretable Classroom Emotion Reasoning

Yuesheng Huang ⋅ Jiajia Chen ⋅ Meiqi Feng ⋅ YueYuan Peng ⋅ Peng Zhang

Modeling User Behavior from Adaptive Surveys with Supplemental Context

Aman Shukla ⋅ Daniel P. Scantlebury ⋅ Rishabh Kumar

Modeling User Behavior from Adaptive Surveys with Supplemental Context

Aman Shukla ⋅ Daniel P. Scantlebury ⋅ Rishabh Kumar

Improved Supervised Fine-Tuning for Large Language Models to Mitigate Catastrophic Forgetting

Fei Ding ⋅ Baiqiao Wang

Process Supervision-Guided Policy Optimization for Code Generation

Ning Dai ⋅ Zheng Wu ⋅ Renjie Zheng ⋅ Ziyun Wei ⋅ Wenlei Shi ⋅ Xing Jin ⋅ Guanlin Liu ⋅ Chen Dun ⋅ Liang Huang ⋅ Lin Yan

Prompt Attacks Reveal Superficial Knowledge Removal in Unlearning Methods

Yeonwoo Jang ⋅ Shariqah Hossain ⋅ Ashwin Sreevatsa ⋅ Diogo Cruz

MERIT: Multimodal Emotion Recognition via RL-Enhanced Test-Time Adaptation

Chen Zhang ⋅ Wenqing Wu ⋅ Yingqiu Zhang ⋅ Peihong He ⋅ Ziyang Liu

Smooth and Stable Route Optimization for Courier-Friendly Dynamic Last-Mile Delivery via Robust Reinforcement Learning

Ziying Jia ⋅ Zeyu Dong ⋅ Miao Yin ⋅ Sihong He

Knowledge Editing: From Laboratory to Real World

Wentian Shaw

The Boundary versus The Core: A Quantitative Comparison of TotalSegmentator and MOOSE Performance in Medical Image Segmentation

Qifan Chen ⋅ Yifei Shi ⋅ Jin Cui ⋅ Cindy Duan ⋅ Zeyu Chang

Rainy: Unlocking Satellite Calibration for Deep Learning in Precipitation

Zhenyu Yu ⋅ Hanqing Chen ⋅ MOHD IDRIS ⋅ Pei Wang

Investigating Redundancy in Multimodal Large Language Models with Multiple Vision Encoders

Song Mao ⋅ Yang Chen

Emergent Specialization: Rare Token Neurons in Language Models

Jing Liu ⋅ Haozheng Wang ⋅ Yueheng Li

Flomny: A Multi-Agent System for Natural Language-Driven Workflow Automation

Muhammad Ammar ⋅ Rayyan Masood ⋅ Muhammad Shehzad ⋅ Maleeha Thebo ⋅ Muhammad Shamsi ⋅ Tahir Qasim Syed

Physics-Guided Scientific Discovery Networks for Empirical Relationship Learning in Small-Data Engineering Domains

Kexin Ji ⋅ Daoxi Cheng

Story2Nanyin: Chordless, Narrative-Driven Heterophonic Multi-Track MIDI Generation

Weixi Zhai

SCD-split: Smoothing-Based Conformal Prediction for Balancing Interval Length and Interpretability

Mingyi Zheng ⋅ Hongyu Jiang ⋅ Yizhou Lu ⋅ Jiaye Teng

The Inevitable Divide: Why Vision and Language Diverge in MLLMs and How Self-Distillation Bridges the Gap

Xiantao Zhang

Environment Free Coding Benchmarks: Evaluating Language Model Coding Capabilities without a Dedicated Environment

Laurence Liang

LC-R1: Optimizing Length Compression in Large Reasoning Model

Zhengxiang Cheng ⋅ Dongping Chen ⋅ Mingyang Fu ⋅ Tianyi Zhou

CAMEra: A Mamba-based Context-aware Adaptive Multimodal Architecture for Sequential Recommendation

Yuhang Li ⋅ Bohan Hu

DKPKT: Dynamic Knowledge Perception for Temporal Knowledge Tracing

Wenjie Chen ⋅ Haibo Cui ⋅ Jiawei Wang ⋅ Yuanhe Kuang ⋅ Kui Xiao ⋅ Miao Zhang ⋅ Yan Zhang ⋅ Zhifei Li

CAMERO: An Uncertainty-Aware Multi-Resolution Pre-training Framework for Self-Supervised Time-Series Modeling

Junyao Wang ⋅ Halima Bouzidi ⋅ Mohammad Al Faruque

Multi-Layer GRPO: Enhancing Reasoning and Self-Correction in Large Language Models

Fei Ding ⋅ Baiqiao Wang ⋅ youwei wang ⋅ Zijian Zeng

A Multi-Level Sentiment Analysis Framework for Financial Texts

Yiwei Liu ⋅ Junbo Wang ⋅ Long Lei ⋅ Xin Li ⋅ Rui-Ting Ma ⋅ Yuankai Wu ⋅ Xuebin Chen

Backdoor Defense via Boundary Reconstruction

Hengrui Yan ⋅ Xinran Zheng ⋅ Shuo Yang ⋅ Xingjun Wang

NeuGPT: Unified multi-modal Neural GPT

Yiqian Yang ⋅ Yiqun Duan ⋅ Hyejeong Jo ⋅ Qiang Zhang ⋅ Renjing Xu ⋅ ʻŌiwi Parker Jones ⋅ Xuming Hu ⋅ Chin-teng Lin ⋅ Hui Xiong

AAPSI: AI-Accelerated Photosensitizer Innovation

Hongyi Wang ⋅ Xiuli Zheng ⋅ Zitian Tang ⋅ Kaiji Sun ⋅ Ji Sun

Analyzing User Patterns via Multi-Level Features for Telecommunications Fraud Detection

Zi-Rong Li ⋅ Jun-Peng Jiang ⋅ Yibo Wang ⋅ Tao Zhou ⋅ De-Chuan Zhan ⋅ Han-Jia Ye

STProtein: predicting spatial protein expression from multi-omics data

Zhaorui Jiang ⋅ Yingfang Yuan ⋅ Lei Hu ⋅ Wei Pang

Integrated-second-order-moment Adam for Accelerated Convergence

Long Jin ⋅ Tao Shi ⋅ Han Nong ⋅ Liangming Chen

MAD: Multi-Alignment MEG-to-Text Decoding

Yiqian Yang ⋅ Hyejeong Jo ⋅ Yiqun Duan ⋅ Qiang Zhang ⋅ JINNI ZHOU ⋅ Xuming Hu ⋅ Won Hee Lee ⋅ Renjing Xu ⋅ Hui Xiong

Mind the Gap: Removing the Discretization Gap in Differentiable Logic Gate Networks

Shakir Yousefi ⋅ Andreas Plesner ⋅ Till Aczel ⋅ Roger Wattenhofer

Flatness-Aware Random Basis Combination for Exemplar-free Continual Learning

Chenrui Xiong ⋅ Lin Zhang

S$^2$Edit : Text-Guided Image Editing with Precise Semantic and Spatial Control

Xudong Liu ⋅ Zikun Chen ⋅ Ruowei Jiang ⋅ Ziyi Wu ⋅ Kejia Yin ⋅ Han Zhao ⋅ Parham Aarabi ⋅ Igor Gilitschenski

S$^2$Edit : Text-Guided Image Editing with Precise Semantic and Spatial Control

Xudong Liu ⋅ Zikun Chen ⋅ Ruowei Jiang ⋅ Ziyi Wu ⋅ Kejia Yin ⋅ Han Zhao ⋅ Parham Aarabi ⋅ Igor Gilitschenski

Filtering with Time-frequency Analysis: An Adaptive and Lightweight Model for Sequential Recommender Systems Based on Discrete Wavelet Transform

Sheng Lu ⋅ Mingxi Ge ⋅ Wanli Zhu ⋅ Yuang Li ⋅ lishiteng

Instant Condition Enhancer for Diffusion

Weiyi Hong ⋅ Zhang Baosheng

Observe-Then-Think: A Reinforcement Learning Framework for Structured Multimodal Understanding

Linrui Xu ⋅ Zhanke Zhou ⋅ Chentao Cao ⋅ Beichen Yu ⋅ Haifeng Li ⋅ Bo Han

Adaptive Decision-Making in Multi-Stage Production: A Unified Framework for Cost Optimization via Dynamic Sampling and Evolutionary Algorithms

Yiquan Wang ⋅ Minnuo Cai ⋅ Jialin Zhang ⋅ Yuhan Chang ⋅ Jiayao Yan

DeFT: Decoupled and Feedback-Guided Tokenization for Efficient Multimodal Long-Context Modeling

Dong Liu ⋅ Yanxuan Yu

Counterfactual Probing for Hallucination Detection and Mitigation in Large Language Models

Yijun Feng

AIB: Adaptive Information Bottleneck via Bayesian Optimization for Robust Training with Noisy Labels

Kunyu Zhang

Aligning Language Model with User Search Intent in Query Reformulation

Yuchen Hui

Pruning Attention-free Language Models

Sihan Shao ⋅ Tianci Wang ⋅ Wenting Fu ⋅ Zhixue Zhao

Bio-Inspired Neural Architecture Adaptation: Unified Dynamic Growth, Gating, and Pruning for Language Modeling and Image Classification

Yun Juei Yen

Beyond Generation: Multi-Hop Reasoning for Factual Accuracy in Vision-Language Models

Shamima Hossain

ClinicalFMamba: Mamba-based Multimodal Medical Image Fusion for Enhanced Clinical Diagnosis

Meng Zhou ⋅ Farzad Khalvati

Manimator: Transforming Research Papers into Visual Explanations

Samarth P ⋅ Vyoman Jain ⋅ Shiva Golugula ⋅ Motamarri Sathvik

Direct Semantic Communication Between Large Language Models via Vector Translation

FuChun Yang ⋅ Jason Eshraghian

An Empirical Analysis of Model Capacity, Task Complexity, and Regularization in Few-Shot Learning

Hongkai Zhang

ExtendAttack: Attacking Servers of LRMs via Extending Reasoning

Zhenhao Zhu ⋅ Yue Liu ⋅ YINGWEI MA ⋅ Hongcheng Gao ⋅ Nuo Chen ⋅ Yanpei Guo ⋅ Wenjie Qu ⋅ Huiying Xu ⋅ Xinzhong Zhu ⋅ Jiaheng Zhang

Evaluating Weight Selection for Language Models: A Negative Result and Boundary Conditions

Xiantao Zhang

SAFEARENA: Evaluating the Safety of Autonomous Web Agents

Ada Tur ⋅ Nicholas Meade ⋅ Xing Han Lù ⋅ Alejandra Zambrano ⋅ Arkil Patel ⋅ Esin Durmus ⋅ Spandana Gella ⋅ Karolina Stanczak ⋅ Siva Reddy

The Gemma Sutras: Fine-Tuning Gemma 3 for Sanskrit Sandhi Splitting

Samarth P ⋅ Sanjay Mahalingam

DREAM: Dual Refinement Embedding Attention Model

Ashutosh Pandey ⋅ Ayush Anand ⋅ Prarabdha Srivastava ⋅ Anil Singh Parihar

Causal Spherical Hypergraph Networks for Modeling Social Uncertainty

Anoushka Harit ⋅ Zhongtian Sun

Resolution-Agnostic Neural Operators for Ocean Current Downscaling

Abdessamad El Kabid ⋅ Loubna Benabbou ⋅ Redouane Lguensat ⋅ Alex Hernandez-Garcia

AI Stroke Rehab Assistant: Pose Landmarks Approach

Sulaiman Muhammad ⋅ Amaan Javed ⋅ Rishabh Raj ⋅ Shaurya Guliani

ScoreMix: Improving Face Recognition via Score Composition in Diffusion Generators

Parsa Rahimi ⋅ Sébastien Marcel

Unlocking Chemical Insights: Superior Molecular Representations from Intermediate Encoder Layers

Luis Pinto

Taming SQL Complexity: LLM-Based Equivalence Evaluation for Text-to-SQL

Qingyun Zeng ⋅ Simin Ma ⋅ Arash Niknafs ⋅ Ashish Basran ⋅ Carol Szabo

Using the Mixture-of-Experts model and DeepSeek to Learn with Noisy Labels

Bo Yuan ⋅ Yulin Chen ⋅ Yin Zhang

Can Generated Images Serve as a Viable Modality for Text-Centric Multimodal Learning?

Yuesheng Huang ⋅ Peng Zhang ⋅ Riliang Liu ⋅ Jiaqi Liang

NeuSpeech: Decode Neural signal as Speech

Yiqian Yang ⋅ Yiqun Duan ⋅ Qiang Zhang ⋅ Hyejeong Jo ⋅ JINNI ZHOU ⋅ Won Hee Lee ⋅ Renjing Xu ⋅ Hui Xiong

ManifoldMind: Dynamic Hyperbolic Reasoning for Trustworthy Recommendations

Anoushka Harit ⋅ Zhongtian Sun ⋅ Sunčica Hadžidedić

Show the cause: A dual-level explainable mental health monitoring framework

Yulin Chen ⋅ Bo Yuan ⋅ Beishui Liao

The Role of Data Selection in Language Model Training

Jiayao Gu ⋅ Yihong Li

Geometry of Rank Constraints in Shallow Polynomial Neural Networks

Param Mody ⋅ Maksym Zubkov

MASQ: Multi-Agent Reinforcement Learning for Single Quadruped Robot Locomotion

AR-CoT: Agnostic Reasoning with Compressed Long Chain-of-Thought

Whispers of Many Shores: Cultural Alignment through Collaborative Cultural Expertise

SARIMA-SVR Framework for Great Lakes Water Level Regulation

Symphony of Fate: Weaving Life through the Music of Amino Acids

Hessian Matrix’s Key Eigenvalue Estimation for Accelerated Convergence

MicroProbe: Efficient Reliability Assessment for Foundation Models with Minimal Data

Lexical Diversity as a Signal for Evaluating Generative Model Understanding: A Contrastive Study of African Languages in Real-World Speech Domains

Healing Powers of BERT: How Task-Specific Fine-Tuning Recovers Corrupted Language Models

Scaling laws for activation steering with Llama 2 models and refusal mechanisms

TransLM: Large Language Model for Transportation Based on InternLM

Efficient Generalization via Multimodal Co-Training under Data Scarcity and Distribution Shift

SciAnnotate: A Tool for Combining Weak Labeling Sources for Sequence Labeling

The Curling Enigma Unveiled: A Machine Learning Molecular Dynamics Approach to the Quasi-Liquid Layer Pressure Asymmetry Model

Visualizing the best Noise for Classification

Predict and Explain: A Unified Approach to Citation Impact Forecasting

Segmentation of Tight Glutenite Digital Core Images Using SegFormer

Rethinking Learning from Label Proportions in the Era of Large-Scale Vision-Language Models

Machine Learning for Proactive Groundwater Management: Early Warning and Resource Allocation

An Entity Linking Agent for Question Answering

Light-Weight Benchmarks Reveal the Hidden Hardware Cost of Zero-Shot Tabular Foundation Models

BlackDAN: A Black-Box Multi-Objective Approach for Effective and Contextual Jailbreaking of Large Language Models

PhysiAgent: An Embodied Agent Framework in Physical World

Fine-Tuning Vision-Language Models for Visual Navigation Assistance

Coarse-to-Fine Personalized LLM Impressions for Streamlined Radiology Reports

SemToken: Semantic-Aware Tokenization for Efficient Long-Context Language Modeling

Dynamic Cog-Skill: A Dual-Layer Metacognitive Architecture for Collective Intelligence in LLM Multi-Agent Systems

Navigation-Guided Diffusion-Based Trajectory Planning for Autonomous Driving with Structural Constraints

Quantitative Structure–Activity Relationship (QSAR) Modeling for Screening of Persistent, Bioaccumulative, and Toxic Chemicals Using Machine Learning

A Personalized MOOC Learning Group and Course Recommendation Method Based on Graph Neural Network and Social Network Analysis

Survival Games: Human-LLM Strategic Showdowns under Severe Resource Scarcity

Cross-Modal Knowledge Distillation: A Survey

Exponential Family Discriminant Analysis: Generalizing LDA-Style Generative Classification to Non-Gaussian Models

From Lilliput to Brobdingnag: A Modeling Journey of Olympic Medals for Small and Large Nations

CAMEra: A Mamba-based Context-aware Adaptive Multimodal Architecture for Sequential Recommendation

A One-Class Anomaly Detection Framework for Groundwater Quality Assessment

Towards Provable (In)Secure Model Weight Release Schemes

NeuGaze: Reshaping the future BCI

Event-Aware Sentiment Factors from LLM-Augmented Financial Tweets: A Transparent Framework for Interpretable Quant Trading

DREAM-VLA: A Unified Vision-Language-Action Model for Dynamic Reflection and Error-Aware Mitigation

$\text{C}^{2}\text{BNVAE}$: Dual-Conditional Deep Generation of Network Traffic Data for Network Intrusion Detection System Balancing

LinCal: A Hybrid Attention Architecture Balancing Linear Computation and Global Calibration

Leveraging LLM-based sentiment analysis for portfolio optimization with proximal policy optimization

Language Models as Off-Policy Simulators for Coding Tasks

Improving Myocardial Infarction Detection via Synthetic ECG Pretraining

Scaling Laws and the Boundary Between AI and Art: A Residuum Perspective

CLIP-Guided Diffusion for Weakly Supervised Construction Equipment Detection

A Survey of Audio Language Models: Data, Architecture and Training Strategies

Spatial-Temporal Trends and Source Tracing of Per- and Polyfluoroalkyl Substances in Water Systems: A Comprehensive Review

K-Score: Kalman Filter as a Principled Alternative to Reward Normalization in Reinforcement Learning

Financial sentiment analysis using FinBERT with application in predicting stock movement

$\textit{QuantMCP}$: Grounding Large Language Models in Verifiable Financial Reality

Can Memory-Augmented Large Language Model Agents Help Journalism in News Interpretation and Cognitive Framing Across Diverse Audiences?

STGCN-LSTM for Olympic Medal Prediction: Dynamic Power Modeling and Causal Policy Optimization

PI-STGNN: Physics-Informed Spatio-Temporal Graph Neural Networks for Urban Traffic Forecasting

Two-Stage Image Denoising with FFDNet and Non-Local Enhancement under Perceptual Evaluation

Adaptive Graph Clustering for Homophily using Generalized PageRank

Evaluating Multimodal Approaches to Medical Report Generation and Introducing a Better Metric for Generated Medical Reports

Large Language Model for Extracting Complex Contract Information in Industrial Scenes

In-situ Autoguidance: Eliciting Self-Correction in Diffusion Models

Perspective: Transforming Personal Health AI by Integrating Knowledge and Causal Graphs with Large Language Models

Autonomous Materials Synthesis Laboratories: Integrating Artificial Intelligence with Advanced Robotics for Accelerated Discovery

New Interaction Paradigm for Complex EDA Software Leveraging GPT

Enhanced Memristive Hyperdimensional Computing for Real-Time Agricultural Intelligence Systems

Exploring the Application of Model Context Protocol for Enhanced Reasoning in Large Language Models

Behavior-Augmented Knowledge Tracing with Monotonic Attention and Cross-Feature Fusion

BehaviorSim: A Multi-Agent Framework for Social Systems Simulation via Behavioral Decision Modeling

Zero-Training Temporal Drift Detection for Transformer Sentiment Models: A Comprehensive Analysis on Authentic Social Media Streams

Random Initialization of Gated Sparse Adapters

Robust3D: Securing Point Clouds from Adversarial Attacks and Real-Time Corruptions

Weight-Based Interpretability with a Signed and Shrunk Quadratic Activation Function

ScoreMix: Improving Face Recognition via Score Composition in Diffusion Generators

HistoLens: An LLM-Powered Framework for Multi-Layered Analysis of Historical Texts

A CNN-Based Framework for Forecasting Valley Fever Risk via Dust Detection in Arizona: A Proof of Concept

Unlocking Chemical Insights: Superior Molecular Representations from Intermediate Encoder Layers

Using Deep Learning and Large Language Models to Generate 3D Crystal Structures: An Algorithm Review

Octopus Inspired Optimization Algorithm: Multi-Level Structures and Parallel Computing Strategies

PerplexMATH: Steering LLMs Toward Mathematical Reasoning