Group Meeting

DMLAB @ 243

Professor: Ming-Yen Lin

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 >

01/16 (五)

01/09 (五)

01/02 (五) holiday

12/26 (五) 逢恩: (oral rehearsal?)

12/19 (五) 娟鳳:

12/12 (五) 益彰:

12/05 (五) 宇彣:

11/28 (五) 宥廷:

11/21 (五) 盈采:

11/14 (五) 娟鳳:

11/07 (五) 益彰:

10/31 (五) 宇彣:

10/24 (五) Holiday 

10/17 (五) 10:00 逢恩 proposal

10/10 (五) 10-10 Holiday

10/03 (五) 宥廷: Reembedding and Reweighting are Needed for Tail Item Sequential recommendation

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