no code implementations • 23 Feb 2024 • Giacomo Albi, Sara Bicego, Michael Herty, YuYang Huang, Dante Kalise, Chiara Segala
The high-dimensional character of collective dynamics hampers the performance of traditional MPC algorithms based on fast online dynamic optimization at every time step.
no code implementations • 7 Dec 2023 • Yabo Chen, Jiemin Fang, YuYang Huang, Taoran Yi, Xiaopeng Zhang, Lingxi Xie, Xinggang Wang, Wenrui Dai, Hongkai Xiong, Qi Tian
We propose a cascade generation framework constructed with two Zero-1-to-3 models, named Cascade-Zero123, to tackle this issue, which progressively extracts 3D information from the source image.
no code implementations • 16 Nov 2023 • Hyundong Cho, Shuai Liu, Taiwei Shi, Darpan Jain, Basem Rizk, YuYang Huang, Zixun Lu, Nuan Wen, Jonathan Gratch, Emilio Ferrara, Jonathan May
Conversational moderation of online communities is crucial to maintaining civility for a constructive environment, but it is challenging to scale and harmful to moderators.
1 code implementation • 11 Oct 2023 • YuHan Liu, Hanchen Li, Yihua Cheng, Siddhant Ray, YuYang Huang, Qizheng Zhang, Kuntai Du, Jiayi Yao, Shan Lu, Ganesh Ananthanarayanan, Michael Maire, Henry Hoffmann, Ari Holtzman, Junchen Jiang
Compared to the recent systems that reuse the KV cache, CacheGen reduces the KV cache size by 3. 5-4. 3x and the total delay in fetching and processing contexts by 3. 2-3. 7x while having negligible impact on the LLM response quality in accuracy or perplexity.
no code implementations • 3 Oct 2023 • Kuntai Du, YuHan Liu, Yitian Hao, Qizheng Zhang, Haodong Wang, YuYang Huang, Ganesh Ananthanarayanan, Junchen Jiang
While the high demand for network bandwidth and GPU resources could be substantially reduced by optimally adapting the configuration knobs, such as video resolution and frame rate, current adaptation techniques fail to meet three requirements simultaneously: adapt configurations (i) with minimum extra GPU or bandwidth overhead; (ii) to reach near-optimal decisions based on how the data affects the final DNN's accuracy, and (iii) do so for a range of configuration knobs.
no code implementations • 11 Aug 2022 • Yuxiang Shi, Yue Ding, Bo Chen, YuYang Huang, Yule Wang, Ruiming Tang, Dong Wang
In this paper, we propose a Task aligned Meta-learning based Augmented Graph (TMAG) to address cold-start recommendation.