Robustness-Guided Image Synthesis for Data-Free Quantization

Quantization has emerged as a promising direction for model compression. Recently, data-free quantization has been widely studied as a promising method to avoid privacy concerns, which synthesizes images as an alternative to real training data. Existing methods use classification loss to ensure the reliability of the synthesized images. Unfortunately, even if these images are well-classified by the pre-trained model, they still suffer from low semantics and homogenization issues. Intuitively, these low-semantic images are sensitive to perturbations, and the pre-trained model tends to have inconsistent output when the generator synthesizes an image with poor semantics. To this end, we propose Robustness-Guided Image Synthesis (RIS), a simple but effective method to enrich the semantics of synthetic images and improve image diversity, further boosting the performance of downstream data-free compression tasks. Concretely, we first introduce perturbations on input and model weight, then define the inconsistency metrics at feature and prediction levels before and after perturbations. On the basis of inconsistency on two levels, we design a robustness optimization objective to enhance the semantics of synthetic images. Moreover, we also make our approach diversity-aware by forcing the generator to synthesize images with small correlations in the label space. With RIS, we achieve state-of-the-art performance for various settings on data-free quantization and can be extended to other data-free compression tasks.Comment: Accepted at AAAI 202

PRMT2 promotes dextran sulfate sodium-induced colitis by inhibiting SOCS3 via histone H3R8 asymmetric dimethylation

BACKGROUND AND PURPOSE: There is emerging evidence for critical roles of epigenetic modifiers in development of inflammatory bowel disease (IBD). Protein arginine methyltransferase 2 (PRMT2) is responsible for methylation of arginine residues on histones and targets transcription factors critically involved in many cellular processes, including gene transcription, mRNA splicing, cell proliferation and differentiation. However, its role in colitis remains unknown. In this study, the role and underlying mechanisms of PRMT2 in colitis was studied. EXPERIMENTAL APPROACH: A mouse dextran sulfate sodium (DSS)-induced experimental colitis model was applied to study PRMT2 in colitis. Lentivirus induced PRMT2 silencing or overexpression in vivo was applied to address the role of PRMT2 in colitis. Detailed western blot and expression analysis was done to understand epigenetic changes induced by PRMT2 in colitis. KEY RESULTS: PRMT2 is highly expressed in patients with IBD, inflamed colon of mice and TNF-α stimulated mice gut epithelial cells. PRMT2 overexpression aggravates while knockdown alleviates DSS-induced colitis in mice, suggesting that PRMT2 is a pivotal mediator of colitis development. Mechanistically, PRMT2 mediates colitis by increasing repressive histone mark H3R8 asymmetric methylation (H3R8me2a) at the promoter region of the suppressor of cytokine signaling 3 (SOCS3) promoter. Resultant inhibition of SOCS3 expression and SOCS3-mediated degradation of TNF receptor associated factor 5 (TRAF5) via ubiquitination led to elevated TRAF5 expression and TRAF5-mediated downstream NF-κB/MAPK activation. CONCLUSION AND IMPLICATIONS: Our study demonstrates that PRMT2 acts as a transcriptional co-activator for proinflammatory genes during colitis. Hence targeting PRMT2 may provide a novel therapeutic approach for colitis

Follow-Your-Click: Open-domain Regional Image Animation via Short Prompts

Despite recent advances in image-to-video generation, better controllability and local animation are less explored. Most existing image-to-video methods are not locally aware and tend to move the entire scene. However, human artists may need to control the movement of different objects or regions. Additionally, current I2V methods require users not only to describe the target motion but also to provide redundant detailed descriptions of frame contents. These two issues hinder the practical utilization of current I2V tools. In this paper, we propose a practical framework, named Follow-Your-Click, to achieve image animation with a simple user click (for specifying what to move) and a short motion prompt (for specifying how to move). Technically, we propose the first-frame masking strategy, which significantly improves the video generation quality, and a motion-augmented module equipped with a short motion prompt dataset to improve the short prompt following abilities of our model. To further control the motion speed, we propose flow-based motion magnitude control to control the speed of target movement more precisely. Our framework has simpler yet precise user control and better generation performance than previous methods. Extensive experiments compared with 7 baselines, including both commercial tools and research methods on 8 metrics, suggest the superiority of our approach. Project Page: https://follow-your-click.github.io/Comment: Project Page: https://follow-your-click.github.io/ Github Page: https://github.com/mayuelala/FollowYourClic

Web Information Systems Engineering - WISE 2013Workshops: WISE 2013 InternationalWorkshops BigWebData, MBC, PCS, STeH, QUAT, SCEH and STSC Nanjing, China, October 13-15 2013, Revised Selected Papers

Abstract not availabl

Partial Stray Inductance Modeling and Measuring of Asymmetrical Parallel Branches on the Bus-Bar of Electric Vehicles

In order to increase the power rating of electric vehicles, insulated gate bipolar translator (IGBT) modules with multiple power terminals are usually adopted. The transient current sharing of the same polarity power terminals is related to the stray inductance in the branches of the bus-bar. Based on the laminated bus-bar of a three-phase inverter in the electric vehicles that consists of asymmetrical parallel branches, this paper investigates the transient current imbalance sharing caused by the asymmetrical stray inductance in the parallel branches of the bus-bar from the view of energy storing and releasing of stray inductance for the first time. Besides, the partial self-inductance and mutual-inductance model of the parallel branches is set up. Finally, a high-precision partial stray inductance measurement method is proposed, and the accuracy of the partial stray inductance model for asymmetrical parallel branches is verified by experimental tests

Seasonal Cycle of Background in the Tropical Pacific as a Cause of ENSO Spring Persistence Barrier

Statistical model results suggest that the declining growth rate from autumn to spring is the key to cause El Niño-Southern Oscillation (ENSO) spring persistence barrier (SPB). Using a dynamical approach, we develop the physical mechanisms responsible for ENSO SPB in the framework of recharge oscillator by adding a seasonally varying Bjerknes (BJ) stability index and linking it with ENSO growth rate. By decomposing BJ index, it is indicated that seasonal thermodynamic damping and thermocline positive feedback play an important role in determining the ENSO SPB. We further show that the increasing/decreasing upper-level cloud/low-level cloud and the deepening thermocline from autumn to spring are the main factors to control the SPB of ENSO. Our proposed mechanisms also have useful implications for the understanding of ENSO prediction

Next-generation sequencing of the mitochondrial genome of Macculochella peeli (Percichthyoidei: Percichthyidae)

The Maccullochella peeli belongs to family Maccullochella, and is distributed in Australia and South America (mainly Argentina and Chile). In this paper, the complete mitochondrial genome of M. peeli was determined using next-generation sequencing. The whole mitogenome is a typical circular DNA molecule of 16,442 bp and contains 13 protein-coding genes, 22 transfer RNA genes, 2 ribosomal RNA genes, and a D-loop region, with the base composition of A 31.6%, G 14.3%, T 26.3%, and C 27.8%. Phylogenetic analysis showed that M. peeli was the nearest sister to Macquaria australasica. Our whole mitogenome presented here would be useful for further study of M. peeli