Early Drop: A Packet-Dropping Incentive Rate Control Mechanism to Keep Data Fresh under Heterogeneous QoS Requirements. - Yiqin Tan; Haoyue Tang; Jintao Wang 001; Jian Song 004 (BMSB, 2021)

RLx2: Training a Sparse Deep Reinforcement Learning Model from Scratch. - Yiqin Tan; Pihe Hu; Ling Pan; Longbo Huang (CoRR, 2022)

RLx2: Training a Sparse Deep Reinforcement Learning Model from Scratch. - Yiqin Tan; Pihe Hu; Ling Pan; Jiatai Huang; Longbo Huang (ICLR, 2023)

Latent Consistency Models: Synthesizing High-Resolution Images with Few-Step Inference. - Simian Luo; Yiqin Tan; Longbo Huang; Jian Li 015; Hang Zhao (CoRR, 2023)

One is More: Diverse Perspectives within a Single Network for Efficient DRL. - Yiqin Tan; Ling Pan; Longbo Huang (CoRR, 2023)

LCM-LoRA: A Universal Stable-Diffusion Acceleration Module. - Simian Luo; Yiqin Tan; Suraj Patil; Daniel Gu; Patrick von Platen; Apolinário Passos; Longbo Huang; Jian Li 015; Hang Zhao (CoRR, 2023)