Cascaded Semantic and Positional Self-Attention Network for Document Classification. - Juyong Jiang; Jie Zhang; Kai Zhang (EMNLP (Findings), 2020)

Sequential Recommendation with Bidirectional Chronological Augmentation of Transformer. - Juyong Jiang; Yingtao Luo; Jae Boum Kim; Kai Zhang 038; Sunghun Kim 001 (CoRR, 2021)

Feature-Balanced Loss for Long-Tailed Visual Recognition. - Mengke Li 001; Yiu-Ming Cheung; Juyong Jiang (ICME, 2022)

Vertical Federated Principal Component Analysis and Its Kernel Extension on Feature-wise Distributed Data. - Yiu-ming Cheung; Juyong Jiang; Feng Yu; Jian Lou 001 (CoRR, 2022)

Compact Neural Networks via Stacking Designed Basic Units. - Weichao Lan; Yiu-ming Cheung; Juyong Jiang (CoRR, 2022)

AdaMCT: Adaptive Mixture of CNN-Transformer for Sequential Recommendation. - Juyong Jiang; Jae Boum Kim; Yingtao Luo; Kai Zhang 038; Sunghun Kim 001 (CoRR, 2022)

Dynamic Adaptive and Adversarial Graph Convolutional Network for Traffic Forecasting. - Juyong Jiang; Binqing Wu; Ling Chen 001; Sunghun Kim 001 (CoRR, 2022)

Enhancing the Robustness via Adversarial Learning and Joint Spatial-Temporal Embeddings in Traffic Forecasting. - Juyong Jiang; Binqing Wu; Ling Chen 001; Kai Zhang 038; Sunghun Kim 001 (CIKM, 2023)

AdaMCT: Adaptive Mixture of CNN-Transformer for Sequential Recommendation. - Juyong Jiang; Peiyan Zhang; Yingtao Luo; Chaozhuo Li; Jae Boum Kim; Kai Zhang 038; Senzhang Wang; Xing Xie 001; Sunghun Kim 001 (CIKM, 2023)

Shortcut-connected Expert Parallelism for Accelerating Mixture-of-Experts. - Weilin Cai; Juyong Jiang; Le Qin; Junwei Cui; Sunghun Kim; Jiayi Huang (CoRR, 2024)

A Survey on Large Language Models for Code Generation. - Juyong Jiang; Fan Wang; Jiasi Shen 001; Sungju Kim; Sunghun Kim (CoRR, 2024)

A Survey on Mixture of Experts. - Weilin Cai; Juyong Jiang; Fan Wang; Jing Tang 004; Sunghun Kim; Jiayi Huang 001 (CoRR, 2024)

LlamaDuo: LLMOps Pipeline for Seamless Migration from Service LLMs to Small-Scale Local LLMs. - Chansung Park; Juyong Jiang; Fan Wang; Sayak Paul; Jing Tang 004 (CoRR, 2024)

Compact Neural Network via Stacking Hybrid Units. - Weichao Lan; Yiu-Ming Cheung; Juyong Jiang; Zhikai Hu; Mengke Li 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

LlamaDuo: LLMOps Pipeline for Seamless Migration from Service LLMs to Small-Scale Local LLMs. - Chansung Park; Juyong Jiang; Fan Wang; Sayak Paul; Jing Tang (ACL (1), 2025)

KaSA: Knowledge-Aware Singular-Value Adaptation of Large Language Models. - Fan Wang; Juyong Jiang; Chansung Park; Sunghun Kim; Jing Tang 004 (ICLR, 2025)

OSVBench: Benchmarking LLMs on Specification Generation Tasks for Operating System Verification. - Shangyu Li; Juyong Jiang; Tiancheng Zhao; Jiasi Shen 001 (CoRR, 2025)

Improving Sequential Recommendations via Bidirectional Temporal Data Augmentation With Pre-Training. - Juyong Jiang; Peiyan Zhang; Yingtao Luo; Chaozhuo Li; Jae Boum Kim; Kai Zhang 038; Senzhang Wang; Sunghun Kim 001; Philip S. Yu (IEEE Trans. Knowl. Data Eng., 2025)

Convolution Filter Compression via Sparse Linear Combinations of Quantized Basis. - Weichao Lan; Yiu-Ming Cheung; Liang Lan; Juyong Jiang; Zhikai Hu (IEEE Trans. Neural Networks Learn. Syst., 2025)

A Survey on Mixture of Experts in Large Language Models. - Weilin Cai; Juyong Jiang; Fan Wang; Jing Tang 004; Sunghun Kim; Jiayi Huang 001 (IEEE Trans. Knowl. Data Eng., 2025)