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Yiqin Tan

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2023
[c2]
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  - conf/iclr/TanHPHH23
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Yiqin Tan, Pihe Hu, Ling Pan, Jiatai Huang, Longbo Huang:
RLx2: Training a Sparse Deep Reinforcement Learning Model from Scratch. ICLR 2023
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  - journals/corr/abs-2310-04378
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Simian Luo, Yiqin Tan, Longbo Huang, Jian Li, Hang Zhao:
Latent Consistency Models: Synthesizing High-Resolution Images with Few-Step Inference. CoRR abs/2310.04378 (2023)
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  - journals/corr/abs-2310-14009
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Yiqin Tan, Ling Pan, Longbo Huang:
One is More: Diverse Perspectives within a Single Network for Efficient DRL. CoRR abs/2310.14009 (2023)
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  - journals/corr/abs-2311-05556
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Simian Luo, Yiqin Tan, Suraj Patil, Daniel Gu, Patrick von Platen, Apolinário Passos, Longbo Huang, Jian Li, Hang Zhao:
LCM-LoRA: A Universal Stable-Diffusion Acceleration Module. CoRR abs/2311.05556 (2023)
2022
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  - journals/corr/abs-2205-15043
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Yiqin Tan, Pihe Hu, Ling Pan, Longbo Huang:
RLx2: Training a Sparse Deep Reinforcement Learning Model from Scratch. CoRR abs/2205.15043 (2022)
2021
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  - conf/bmsb/TanTWS21
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Yiqin Tan, Haoyue Tang, Jintao Wang, Jian Song:
Early Drop: A Packet-Dropping Incentive Rate Control Mechanism to Keep Data Fresh under Heterogeneous QoS Requirements. BMSB 2021: 1-6

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