Group Meeting
Group Meeting
DMLAB @ 243
DMLAB @ 243
Professor: Ming-Yen Lin
Professor: Ming-Yen Lin
Time: 9:10 ~ 12:00 Friday
Venue: 資電 224
Group Meeting Schedule (114-1) 2025/9/01 ~ 2026/1/31 (Fri)
Group meeting: 不可以報告曾經在 Group meeting 討論過的論文
< sequence: 娟鳳、盈采、逢恩、宥廷、宇彣、益彰 >
12/26 (五)
12/19 (五)
12/12 (五)
12/05 (五)
11/28 (五)
11/21 (五)
11/14 (五)
11/07 (五)
10/31 (五) 益彰:
10/24 (五) 10-24 Holiday
10/17 (五) 宇彣:
10/10 (五) 10-10 Holiday
10/03 (五) 宥廷:
09/26 (五) 逢恩:
09/19 (五) 老師校外口試
09/12 (五) 盈采:
09/02 (二) 娟鳳 : A Counterfactual Fair Model for Longitudinal Electronic Health Records via Deconfounder
08/26 summer break (II)
08/19 (二) 9:10-12:00 益彰:
08/12 (二) 9:10-12:00 宇彣 : ORAKLE: Optimal Risk prediction for mAke30 in patients with sepsis associated AKI using deep LEarning
08/05 (二) 9:10-12:00 宥廷: LLMEmb:Large Language Model Can Be a Good Embedding Generator for Sequential Recommendation
07/16 (三) [資電220]13:30-16:30 逢恩
07/08 (二) [資電205] 13:30-16:30 盈采
07/01 (二) 13:30-16:30 娟鳳 : FlexCare Leveraging Cross-Task Synergy for Flexible MultimodalHealthcare Prediction
06/25 (三) 14:00-16:00 Oral defense venue: 資電 220
06/20 (五) 宗諭 13:30-16:30 rehearsal venue: 資電 220
06/13 (五) 婷瑋 13:30-16:30 rehearsal venue: 資電 220
06/06 (五) 逢恩 : Facet-Aware Multi-Head Mixture-of-Experts Model for Sequential Recommendation
05/30 (五) 端午節假
05/23 (五) 盈采：CoLLM: Integrating Collaborative Embeddings Into Large Language Models for Recommendation
05/16 (五) 個申口試
05/09 (五) 宗諭 : Exploring the Side-Information Fusion for Sequential Recommendation
05/02 (五) 婷瑋 : Enhancing Explainable Rating Prediction through Annotated Macro Concepts
04/25 (五) 娟鳳 : Heterogeneous Multi-Task Learning With Expert Diversity
04/18 (五) 逢恩 Future Sight and Tough Fights: Revolutionizing Sequential Recommendation with FENRec
04/11 (五) 盈采：Large Language Models meet Collaborative Filtering: An Efficient All-round LLM-based Recommender System
04/04 (五) break
03/28 (五) 婷瑋 & 宗諭 proposal
03/21 (五) 宗諭 proposal rehearsal
03/14 (五) 婷瑋 proposal rehearsal
03/07 (五) 娟鳳: DAJLENet:Aneuralnetworkbasedondualattentionandjoint learning for explainable heart failure adverse event prediction
02/28 (五) break
02/21 (五) 逢恩: Sparse Enhanced Network: An Adversarial Generation Method for Robust Augmentation in Sequential Recommendation
01/10 (五) All: Winter Break Plan
01/03 (五) 盈采: ReLand: Integrating Large Language Models’ Insights into Industrial Recommenders via a Controllable Reasoning Pool
12/27 (五) 國科會計畫撰寫，暫停一次
12/20 (五) 娟鳳: Multitask prediction of organ dysfunction in the intensive care unit using sequential subnetwork routing
12/13 (五) 宗諭: Feature-Aware Contrastive Learning With Bidirectional Transformers for Sequential Recommendation
12/06 (五) 逢恩 : Aligned Side Information Fusion Method for Sequential Recommendation
11/29 (五) 婷瑋: Aspect-enhanced Explainable Recommendation with Multi-modal Contrastive Learning
11/22 (五) 盈采: IDGenRec: LLM-RecSys Alignment with Textual ID Learning
11/15 (五) 娟鳳: Prediction of mortality events of patients with acute heart failure in intensive care unit based on deep neural network
11/08 (五) 宗諭：ELECRec: Training Sequential Recommenders as Discriminators
11/01 (五) 逢恩 : Reliable Data Augmented Contrastive Learning for Sequential Recommendation
10/25 (五) 婷瑋 : PESI: Personalized Explanation recommendation with Sentiment Inconsistency between ratings and reviews
10/18 (五) 盈采: E4SRec: An Elegant Effective Efficient Extensible Solution of Large Language Models for Sequential Recommendation
10/11 (五) 娟鳳: Multitask learning and benchmarking with clinical time series data
10/04 (五) 老師教評會議暫停
9/27 (五) <<Postponed>>
9/20 (五) 宗諭: Leave No One Behind: Online Self-Supervised Self-Distillation for Sequential Recommendation
9/13 (五) 逢恩 : Sequential Recommendation via Stochastic Self-Attention
9/03 (二) 婷瑋 : Recommendation with Dynamic Natural Language Explanations
8/27 (二) 盈采 : LLaRA: Large Language-Recommendation Assistant
8/20 (二) 娟鳳 : A Machine Learning Approach for the Prediction of Traumatic Brain Injury Induced Coagulopathy
8/13 (二) summer break
8/06 (二) summer break
7/30 (二) 立歆 <<Postponed>>
7/23 (二) 宗諭 : Conditional Denoising Diffusion for Sequential Recommendation
7/16 (二) 逢恩 : TiCoSeRec: Augmenting Data to Uniform Sequences by Time Intervals for Effective Recommendation
7/09 (二) 婷瑋 : Explainable Recommendation with Personalized Review Retrieval and Aspect Learning
7/02 (二) 宗諭：Diffusion-based Contrastive Learning for Sequential Recommendation
6/28 (五) 聚餐
6/21 (五) 立歆 : Self-Supervised Forecasting in ELECTRONIC HEALTH RECORDS with Attention-Free Models
6/14 (五) 逢恩 : Ensemble Modeling with Contrastive Knowledge Distillation for Sequential Recommendation
6/5 (三) 婷瑋 : A Review-Level Sentiment Information Enhanced Multitask Learning Approach for Explainable Recommendation
venue: 資電 220 time: 13:10-16:00
5/31 (五) 凱博、欣佑、奕箴 碩士論文口試 venue: 資電 220 time: 12:30-15:30
5/22 (三) 欣佑 rehearsal
venue: 資電 220 time: 13:10-16:00
5/15 (三) 奕箴 rehearsal
venue: 資電 220 time: 14:10-17:00
5/08 (三) 宗諭：Meta-optimized Joint Generative and Contrastive Learning for Sequential Recommendation
venue: 資電 220 time: 13:10-16:00
5/03 (五) 立歆 : Self-Supervised Forecasting in ELECTRONIC HEALTH RECORDS with Attention-Free Models
4/26 (五) 奕箴 : PESI: Personalized Explanation Recommendation with Sentiment Inconsistency between Ratings and Reviews
4/19 (五) 欣佑 : Multi-task Learning via Adaptation to Similar Tasks for Mortality Prediction of Diverse Rare Diseases
4/19 (五) 逢恩 : Intent Contrastive Learning with Cross Subsequences for Sequential Recommendation
4/12 (五) 延後合併
4/05 (五) 清明節
3/29 (五) 奕箴、欣佑 : proposal
3/22 (五) 婷瑋 : Joint Reason Generation and Rating Prediction for Explainable Recommendation
3/16 (六) 奕箴、欣佑 proposal 練習
3/15 (五) 老師碩士班口試暫停
3/01 (五) 宗諭 : Diff4Rec: Sequential Recommendation with Curriculum-scheduled Diffusion Augmentation