From 16dc2d75d9b7d074948480a1095f2dc11d737f4e Mon Sep 17 00:00:00 2001 From: cosmos1030 Date: Thu, 22 Oct 2026 16:09:44 +0900 Subject: [PATCH 01/20] ADD: member faces on news and publications, linked to member pages Small rounded-square member photos under each news item's date and before lab members' names in publication author lists. group.html and publications.html act as the member/paper database, read at runtime by js/people.js, so nothing extra needs to be kept in sync. Faces link to the member's own site, or to their card on group.html. --- CLAUDE.md | 28 +++++ group.html | 23 ++++ index.html | 69 +++++++++-- js/people.js | 253 ++++++++++++++++++++++++++++++++++++++++ news.html | 50 +++++++- publications.html | 38 ++++++ tools/sync-home-news.py | 12 +- 7 files changed, 455 insertions(+), 18 deletions(-) create mode 100644 js/people.js diff --git a/CLAUDE.md b/CLAUDE.md index 1ed0db0..3492217 100644 --- a/CLAUDE.md +++ b/CLAUDE.md @@ -45,6 +45,34 @@ are left alone by the sync. Gallery photos work the same way: add the tile to `gallery.html` and the preview on `group.html` follows. Do not hand-edit either preview block. +### Member faces (news and publications) + +`js/people.js` adds small rounded-square member faces in two places: + +- **News** (`news.html`, home page): under each item's date, up to 3 faces side by side, then `+N` + (hover for all names). +- **Publications**: before each current member's name in `.paper-authors`, with the + name set slightly darker. + +There is no separate database: `group.html` (`.member-item`) is the member list and +`publications.html` (`.paper`) is the paper list, both fetched at runtime. Author names +must match the member's name on `group.html` exactly (`*` and `†` are ignored). + +Every face links to the member's own site (new tab) if their `.member-item` has an +``, otherwise to their card at `group.html#` (e.g. +`#jinseokchung`). `group.html` assigns those ids from the photo file names at load +time, so adding a member needs no extra markup. + +A news item gets the faces of: + +- members mentioned by first or full name in its text ("Hyunji, Hyeondo, and Jinseok …"); +- the in-lab authors of a paper it links to (arXiv / OpenReview id or exact URL match). + +For a paper news item **without a link**, add `data-paper=""` to the +`news-item` div, e.g. `
`. Override with +`data-people="Hyunji, Kwanhee"`, or hide with `data-people="none"`. Alumni and +external co-authors have no `.member-item`, so they never get a face. + ## Architecture **CSS is inline per-page** — each HTML file contains a full ` - - - -
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Gallery

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- © 2026 LOG. All rights reserved. - -
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- - - - - - - diff --git a/publications.html b/publications.html deleted file mode 100644 index 82b8b13..0000000 --- a/publications.html +++ /dev/null @@ -1,714 +0,0 @@ - - - - - - - Publications | Lee Optimization Group - - - - - -
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Preprint
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Hardware-Native Joint Sparse-Quantization for Trillion-Scale Mixture-of-Experts
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Kwanhee Lee, Namhoon Lee, Dan Alistarh
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arXiv 2026
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2026
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Comparing Synchronous and Asynchronous Pipeline Parallelism Across Training Configurations
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Junkyu Park, Dongyeop Lee, Namhoon Lee
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NeurIPS 2026 Workshop on Collaborative, Open, and Decentralized Training of Foundation Models
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SeedFlood: A Step Toward Scalable Decentralized Fine-Tuning of LLMs
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Jihun Kim, Dongyeop Lee, Namhoon Lee
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NeurIPS 2026 Workshop on Collaborative, Open, and Decentralized Training of Foundation Models (Oral)
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FRESCO: A Novel Consistency Control for Asynchronous Pipeline Parallel Training
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Dongyeop Lee, Namhoon Lee
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NeurIPS 2026
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Hidden in Plain Sight: The Overlooked Significance of Canonical Elements for Extreme LLM Sparsity
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Hyeondo Jang, Kwanhee Lee, Dongyeop Lee, Namhoon Lee
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EMNLP 2026; CKAIA 2026 Best Paper Award
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Advancing Semiconductor Inspection: A New Dataset and Approach for Robust Anomaly Detection with Large Vision Language Models
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Jaehyeon Jeong*, Hyeondo Jang*, Donghyun Oh, Seongeun Kim, Namhoon Lee
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BMVC 2026
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Exploiting Local Flatness for Efficient Out-of-Distribution Detection
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Seonghwan Park, Hyunji Jung, Dongyeop Lee, Namhoon Lee
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ECCV 2026
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On-Policy Adaptation Mitigates Hyperparameter-Sensitive Forgetting in Vision-Language Models
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Doyoon Kim*, Ziyang Wu*, Jingfeng Yang, Yi Ma
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ICML 2026 Workshop on Continual Adaptation at Scale: Towards Sustainable AI
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Mitigating Staleness in Asynchronous Pipeline Parallelism via Basis Rotation
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Hyunji Jung*, Sungbin Shin*, Namhoon Lee
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ICML 2026
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Quantifying Aleatoric Uncertainty of In-Context Learning for Robust Measure of LLM Prediction Confidence
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Jinseok Chung, Minkyoung Song*, Hyunji Jung*, Namhoon Lee
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ACL 2026 (Oral); KCC 2026 Workshop Outstanding Paper Award
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Dynamic Network Compression via Probabilistic Channel Pruning
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Kwanhee Lee, Hyang Won Lee
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Neural Networks 2026
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The Unseen Frontier: Pushing the Limits of LLM Sparsity with Surrogate-Free ADMM
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Kwanhee Lee, Hyeondo Jang, Dongyeop Lee, Dan Alistarh, Namhoon Lee
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ICLR 2026; JKAIA 2025 Best Paper Award
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2025
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MemEIC: A Step Toward Continual and Compositional Knowledge Editing
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Jin Seong*, Jiyun Park*, Wencke Liermann, Hongseok Choi, Yoonji Nam, Hyun Kim, Soojong Lim, Namhoon Lee
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NeurIPS 2025
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An Analysis of Concept Bottleneck Models: Measuring, Understanding, and Mitigating the Impact of Noisy Annotations
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Seonghwan Park, Jueun Mun, Donghyun Oh, Namhoon Lee
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NeurIPS 2025
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Critical Influence of Overparameterization on Sharpness-aware Minimization
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Sungbin Shin*, Dongyeop Lee*, Maksym Andriushchenko, Namhoon Lee
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UAI 2025; ICML 2023 Workshop on High-dimensional Learning Dynamics; JKAIA 2023 Best Paper Award
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SAFE: Finding Sparse and Flat Minima to Improve Pruning
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Dongyeop Lee, Kwanhee Lee, Jinseok Chung, Namhoon Lee
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ICML 2025 (Spotlight)
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SASSHA: Sharpness-aware Adaptive Second-order Optimization with Stable Hessian Approximation
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Dahun Shin*, Dongyeop Lee*, Jinseok Chung, Namhoon Lee
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ICML 2025
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ZIP: An Efficient Zeroth-order Prompt Tuning for Black-box Vision-Language Models
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Seonghwan Park, Jaehyeon Jeong, Yongjun Kim, Jaeho Lee, Namhoon Lee
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ICLR 2025
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Convergence and Implicit Bias of Gradient Descent on Continual Linear Classification
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Hyunji Jung*, Hanseul Cho*, Chulhee Yun
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ICLR 2025
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2024
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Rethinking Pruning Large Language Models: Benefits and Pitfalls of Reconstruction Error Minimization
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Sungbin Shin, Wonpyo Park, Jaeho Lee, Namhoon Lee
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EMNLP 2024
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The Role of Masking for Efficient Supervised Knowledge Distillation of Vision Transformers
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Seungwoo Son, Jegwang Ryu, Namhoon Lee, Jaeho Lee
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ECCV 2024; ICLR 2023 Workshop
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JaxPruner: A Concise Library for Sparsity Research
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Joo Hyung Lee, Wonpyo Park, Nicole Mitchell, Jonathan Pilault, Johan Obando-Ceron, Han-Byul Kim, Namhoon Lee, Elias Frantar, Yun Long, Amir Yazdanbakhsh, Shivani Agrawal, Suvinay Subramanian, Xin Wang, Sheng-Chun Kao, Xingyao Zhang, Trevor Gale, Aart Bik, Woohyun Han, Milen Ferez, Zhonglin Han, Hong-Seok Kim, Yann Dauphin, Gintare Karolina Dziugaite, Pablo Samuel Castro, Utku Evci
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CPAL 2024 (Oral); ICLR 2023 Workshop on Sparsity in Neural Networks
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2023
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Pruning Neural Networks with Velocity-Constrained Optimization
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Donghyun Oh*, Jinseok Chung*, Namhoon Lee
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NeurIPS 2023 Workshop on Optimization for Machine Learning
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A Closer Look at the Intervention Procedure of Concept Bottleneck Models
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Sungbin Shin, Yohan Jo, Sungsoo Ahn, Namhoon Lee
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ICML 2023; NeurIPS 2022 Workshop on Trustworthy and Socially Responsible ML
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On the Effectiveness of Sharpness-Aware Minimization with Large Mini-batches
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Jinseok Chung, Seonghwan Park, Jaeho Lee, Namhoon Lee
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ICML 2023 Workshop on High-dimensional Learning Dynamics
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FedFwd: Federated Learning without Backpropagation
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Seonghwan Park, Dahun Shin, Jinseok Chung, Namhoon Lee
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ICML 2023 Workshop on Federated Learning and Analytics in Practice
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Semi-Supervised Concept Bottleneck Models
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Jeeon Bae, Sungbin Shin, Namhoon Lee
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ICML 2023 Workshop on Artificial Intelligence and Human-Computer Interaction
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Almost Sure Last Iterate Convergence of Sharpness-Aware Minimization
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Kyungchun Nam, Jinseok Chung, Namhoon Lee
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ICLR 2023 Tiny Papers
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Previous
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Meta-Learning Sparse Implicit Neural Representations
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Jaeho Lee*, Jihoon Tack*, Namhoon Lee, Jinwoo Shin
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NeurIPS 2021; SNN 2021
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Understanding the Effects of Data Parallelism and Sparsity on Neural Network Training
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Namhoon Lee, Thalaiyasingam Ajanthan, Philip H. S. Torr, Martin Jaggi
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ICLR 2021
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Optimal Mini-Batch Size for Stochastic Gradient Methods
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Namhoon Lee, Philip H. S. Torr, Richard Hartley
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ICLR 2021 Workshop on Science and Engineering of Deep Learning
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A Signal Propagation Perspective for Pruning Neural Networks at Initialization
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Namhoon Lee, Thalaiyasingam Ajanthan, Stephen Gould, Philip H. S. Torr
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ICLR 2020 (Spotlight)
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Data Parallelism in Training Sparse Neural Networks
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Namhoon Lee, Philip H. S. Torr, Martin Jaggi
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ICLR 2020 Workshop on Practical ML
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SNIP: Single-shot Network Pruning based on Connection Sensitivity
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Namhoon Lee, Thalaiyasingam Ajanthan, Philip H. S. Torr
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ICLR 2019
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Learn to Pay Attention
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Saumya Jetley, Nicholas Lord, Namhoon Lee, Philip H. S. Torr
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ICLR 2018
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Synthesizing a Scene-Specific Pedestrian Detector and Pose Estimator for Static Video Surveillance
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Hironori Hattori*, Namhoon Lee*, Vishnu N. Boddeti, Fares Beainy, Kris M. Kitani, Takeo Kanade
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IJCV 2018
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DESIRE: Distant Future Prediction in Dynamic Scenes with Interacting Agents
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Namhoon Lee, Wongun Choi, Paul Vernaza, Christopher B. Choy, Philip H. S. Torr, Manmohan Chandraker
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CVPR 2017 (Spotlight)
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Forecasting Interactive Dynamics of Pedestrians with Fictitious Play
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Wei-Chiu Ma, De-An Huang, Namhoon Lee, Kris M. Kitani
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CVPR 2017
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Predicting Wide Receiver Trajectories in American Football
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Namhoon Lee, Kris M. Kitani
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WACV 2016 (Oral)
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- © 2026 LOG. All rights reserved. - -
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b/templates/gallery.html new file mode 100644 index 0000000..fad6454 --- /dev/null +++ b/templates/gallery.html @@ -0,0 +1,416 @@ + + + + + + + Gallery | Lee Optimization Group + + + + + +
+ +
+ Lee Optimization Group + + +
+ +
+

Gallery

+ + +
+ +
+ © 2026 LOG. All rights reserved. + +
+ +
+ + + + + + + diff --git a/group.html b/templates/group.html similarity index 78% rename from group.html rename to templates/group.html index ab54d72..6f3143d 100644 --- a/group.html +++ b/templates/group.html @@ -543,90 +543,18 @@

Members

Interns

@@ -640,55 +568,31 @@

Gallery

We also spend time together on various occasions. For more stories, check out here!

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Alumni

+{% if members.config.alumni.show %} +

{{ members.config.alumni.heading }}

+{% endif %}