Knowledge Sharing for Reinforcement Learning: Writing a BOOK. - Simyung Chang; Young Joon Yoo; Jaeseok Choi; Nojun Kwak (CoRR, 2017)

Broadcasting Convolutional Network. - Simyung Chang; John Yang 001; Seonguk Park; Nojun Kwak (CoRR, 2017)

Broadcasting Convolutional Network for Visual Relational Reasoning. - Simyung Chang; John Yang 001; Seonguk Park; Nojun Kwak (ECCV (15), 2018)

Genetic-Gated Networks for Deep Reinforcement Learning. - Simyung Chang; John Yang 001; Jaeseok Choi; Nojun Kwak (NeurIPS, 2018)

Towards Governing Agent's Efficacy: Action-Conditional β-VAE for Deep Transparent Reinforcement Learning. - John Yang 001; Gyujeong Lee; Minsung Hyun; Simyung Chang; Nojun Kwak (CoRR, 2018)

Image Translation to Mixed-Domain using Sym-Parameterized Generative Network. - Simyung Chang; Seonguk Park; John Yang 001; Nojun Kwak (CoRR, 2018)

Towards Governing Agent's Efficacy: Action-Conditional $β$-VAE for Deep Transparent Reinforcement Learning. - John Yang 001; Gyuejeong Lee; Simyung Chang; Nojun Kwak (ACML, 2019)

Sym-Parameterized Dynamic Inference for Mixed-Domain Image Translation. - Simyung Chang; Seonguk Park; John Yang 001; Nojun Kwak (ICCV, 2019)

BOOK: Storing Algorithm-Invariant Episodes for Deep Reinforcement Learning. - Simyung Chang; Youngjoon Yoo; Jaeseok Choi; Nojun Kwak (ICPRAM, 2019)

Genetic-Gated Networks for Deep Reinforcement. - Simyung Chang; John Yang 001; Jaeseok Choi; Nojun Kwak (CoRR, 2019)

URNet: User-Resizable Residual Networks with Conditional Gating Module. - Sang-Ho Lee; Simyung Chang; Nojun Kwak (AAAI, 2020)

BIBNet: An Efficient Super Resolution with Bottleneck-In-Bottleneck. - Simyung Chang; Keuntek Lee; Shobhit Jain; Cheul-Hee Hahm (IJCNN, 2020)

Domain Generalization on Efficient Acoustic Scene Classification Using Residual Normalization. - Byeonggeun Kim; Seunghan Yang; Jangho Kim; Simyung Chang (DCASE, 2021)

Subspectral Normalization for Neural Audio Data Processing. - Simyung Chang; Hyoungwoo Park; Janghoon Cho; Hyunsin Park; Sungrack Yun; Kyuwoong Hwang (ICASSP, 2021)

Prototype-Based Personalized Pruning. - Jangho Kim; Simyung Chang; Sungrack Yun; Nojun Kwak (ICASSP, 2021)

Broadcasted Residual Learning for Efficient Keyword Spotting. - Byeonggeun Kim; Simyung Chang; Jinkyu Lee 004; Dooyong Sung (Interspeech, 2021)

PQK: Model Compression via Pruning, Quantization, and Knowledge Distillation. - Jangho Kim; Simyung Chang; Nojun Kwak (Interspeech, 2021)

Self-Evolutionary Optimization for Pareto Front Learning. - Simyung Chang; KiYoon Yoo; Jiho Jang; Nojun Kwak (CoRR, 2021)

Distribution Estimation to Automate Transformation Policies for Self-Supervision. - Seunghan Yang; Debasmit Das; Simyung Chang; Sungrack Yun; Fatih Porikli (CoRR, 2021)

Multi-Head Modularization to Leverage Generalization Capability in Multi-Modal Networks. - Jun-Tae Lee; Hyunsin Park; Sungrack Yun; Simyung Chang (AAAI, 2022)

Quadapter: Adapter for GPT-2 Quantization. - Minseop Park; Jaeseong You; Markus Nagel; Simyung Chang (EMNLP (Findings), 2022)

Variational On-the-Fly Personalization. - Jangho Kim; Juntae Lee; Simyung Chang; Nojun Kwak (ICML, 2022)

Dummy Prototypical Networks for Few-Shot Open-Set Keyword Spotting. - Byeonggeun Kim; Seunghan Yang; Inseop Chung; Simyung Chang (INTERSPEECH, 2022)

Domain Generalization with Relaxed Instance Frequency-wise Normalization for Multi-device Acoustic Scene Classification. - Byeonggeun Kim; Seunghan Yang; Jangho Kim; Hyunsin Park; Juntae Lee; Simyung Chang (INTERSPEECH, 2022)

Personalized Keyword Spotting through Multi-task Learning. - Seunghan Yang; Byeonggeun Kim; Inseop Chung; Simyung Chang (INTERSPEECH, 2022)

Dynamic Iterative Refinement for Efficient 3D Hand Pose Estimation. - John Yang 001; Yash Bhalgat; Simyung Chang; Fatih Porikli; Nojun Kwak (WACV, 2022)

QTI Submission to DCASE 2021: residual normalization for device-imbalanced acoustic scene classification with efficient design. - Byeonggeun Kim; Seunghan Yang; Jangho Kim; Simyung Chang (CoRR, 2022)

Scalable Weight Reparametrization for Efficient Transfer Learning. - Byeonggeun Kim; Jun-Tae Lee; Seunghan Yang; Simyung Chang (ICASSP, 2023)

Task-Agnostic Open-Set Prototype for Few-Shot Open-Set Recognition. - Byeonggeun Kim; Jun-Tae Lee; Kyuhong Shim; Simyung Chang (ICIP, 2023)

Knowledge Distillation from Non-streaming to Streaming ASR Encoder using Auxiliary Non-streaming Layer. - Kyuhong Shim; Jinkyu Lee 004; Simyung Chang; Kyuwoong Hwang (CoRR, 2023)

Improving Small Footprint Few-shot Keyword Spotting with Supervision on Auxiliary Data. - Seunghan Yang; Byeonggeun Kim; Kyuhong Shim; Simyung Chang (CoRR, 2023)

Crayon: Customized On-Device LLM via Instant Adapter Blending and Edge-Server Hybrid Inference. - Jihwan Bang; Juntae Lee; Kyuhong Shim; Seunghan Yang; Simyung Chang (ACL (1), 2024)

Feature Diversification and Adaptation for Federated Domain Generalization. - Seunghan Yang; Seokeon Choi; Hyunsin Park; Sungha Choi; Simyung Chang; Sungrack Yun (ECCV (72), 2024)

InfiniPot: Infinite Context Processing on Memory-Constrained LLMs. - Minsoo Kim; Kyuhong Shim; Jungwook Choi; Simyung Chang (EMNLP, 2024)

Semantic Token Reweighting for Interpretable and Controllable Text Embeddings in CLIP. - Eunji Kim 002; Kyuhong Shim; Simyung Chang; Sungroh Yoon (EMNLP (Findings), 2024)

Unlocking Transfer Learning for Open-World Few-Shot Recognition. - Byeonggeun Kim; Juntae Lee; Kyuhong Shim; Simyung Chang (CoRR, 2024)

Chain-of-Rank: Enhancing Large Language Models for Domain-Specific RAG in Edge Device. - Juntae Lee; Jihwan Bang; Kyuhong Shim; Seunghan Yang; Simyung Chang (NAACL (Findings), 2025)

InfiniPot-V: Memory-Constrained KV Cache Compression for Streaming Video Understanding. - Minsoo Kim; Kyuhong Shim; Jungwook Choi; Simyung Chang (CoRR, 2025)