DDSAS: Dynamic and Differentiable Space-Architecture Search. - Longxing Yang; Yu Hu 001; Shun Lu 001; Zihao Sun; Jilin Mei; Yiming Zeng 003; Zhiping Shi 002; Yinhe Han 001; Xiaowei Li 001 (ACML, 2021)

SpeechNAS: Towards Better Trade-Off Between Latency and Accuracy for Large-Scale Speaker Verification. - Wentao Zhu 001; Tianlong Kong; Shun Lu 001; Jixiang Li; Dawei Zhang; Feng Deng; Xiaorui Wang; Sen Yang 004; Ji Liu 002 (ASRU, 2021)

DU-DARTS: Decreasing the Uncertainty of Differentiable Architecture Search. - Shun Lu 001; Yu Hu 001; Longxing Yang; Zihao Sun; Jilin Mei; Yiming Zeng 003; Xiaowei Li 001 (BMVC, 2021)

DARTS-: Robustly Stepping out of Performance Collapse Without Indicators. - Xiangxiang Chu; Xiaoxing Wang; Bo Zhang 046; Shun Lu 001; Xiaolin Wei; Junchi Yan (ICLR, 2021)

TNASP: A Transformer-based NAS Predictor with a Self-evolution Framework. - Shun Lu 001; Jixiang Li; Jianchao Tan; Sen Yang 004; Ji Liu 002 (NeurIPS, 2021)

AGNAS: Attention-Guided Micro and Macro-Architecture Search. - Zihao Sun; Yu Hu 001; Shun Lu 001; Longxing Yang; Jilin Mei; Yinhe Han 001; Xiaowei Li 001 (ICML, 2022)

Searching for BurgerFormer with Micro-Meso-Macro Space Design. - Longxing Yang; Yu Hu 001; Shun Lu 001; Zihao Sun; Jilin Mei; Yinhe Han 001; Xiaowei Li 001 (ICML, 2022)

Conformer Space Neural Architecture Search for Multi-Task Audio Separation. - Shun Lu 001; Yang Wang; Peng Yao; Chenxing Li; Jianchao Tan; Feng Deng; Xiaorui Wang; Chengru Song (INTERSPEECH, 2022)

WA-Transformer: Window Attention-based Transformer with Two-stage Strategy for Multi-task Audio Source Separation. - Yang Wang; Chenxing Li; Feng Deng; Shun Lu 001; Peng Yao; Jianchao Tan; Chengru Song; Xiaorui Wang (INTERSPEECH, 2022)

STC-NAS: Fast neural architecture search with source-target consistency. - Zihao Sun; Yu Hu 001; Longxing Yang; Shun Lu 001; Jilin Mei; Yinhe Han 001; Xiaowei Li 001 (Neurocomputing, 2022)

PINAT: A Permutation INvariance Augmented Transformer for NAS Predictor. - Shun Lu 001; Yu Hu 001; Peihao Wang; Yan Han 001; Jianchao Tan; Jixiang Li; Sen Yang 004; Ji Liu 002 (AAAI, 2023)

PA&DA: Jointly Sampling PAth and DAta for Consistent NAS. - Shun Lu 001; Yu Hu 001; Longxing Yang; Zihao Sun; Jilin Mei; Jianchao Tan; Chengru Song (CVPR, 2023)

MixPath: A Unified Approach for One-shot Neural Architecture Search. - Xiangxiang Chu; Shun Lu 001; Xudong Li 003; Bo Zhang 046 (ICCV, 2023)

Unleashing the Power of Gradient Signal-to-Noise Ratio for Zero-Shot NAS. - Zihao Sun; Yu Sun; Longxing Yang; Shun Lu 001; Jilin Mei; Wenxiao Zhao; Yu Hu 001 (ICCV, 2023)

Sweet Gradient matters: Designing consistent and efficient estimator for Zero-shot Architecture Search. - Longxing Yang; Yanxin Fu; Shun Lu 001; Zihao Sun; Jilin Mei; Wenxiao Zhao; Yu Hu 001 (Neural Networks, 2023)

PHD-NAS: Preserving helpful data to promote Neural Architecture Search. - Shun Lu 001; Yu Hu 001; Longxing Yang; Jilin Mei; Zihao Sun; Jianchao Tan; Chengru Song (Neurocomputing, 2024)

MASTER: Multimodal Segmentation with Text Prompts. - Fuyang Liu; Shun Lu 001; Jilin Mei; Yu Hu 001 (CoRR, 2025)

PID: Physics-Informed Diffusion Model for Infrared Image Generation. - Fangyuan Mao; Jilin Mei; Shun Lu 001; Fuyang Liu; Liang Chen; Fangzhou Zhao; Yu Hu 001 (Pattern Recognit., 2026)