127,118 research outputs found
Il museo della ceramica Liu Ke Cheng
No full textIl Museo della Ceramica a Fule, è un edificio non recente perché realizzato nel 2004, ma che offre l’occasione di affrontare l’importante lavoro che l’architetto Liu Ke Cheng (classe 1961)
porta avanti da alcuni anni sia nella scuola di Architettura, che dirige, alla Xi’an University of Architecture and Technology (XAUAT), che in qualità di Direttore della UIA Committee on Architectural Heritage in Region IV (per l’Asia e l’Oceania) e, non da ultimo, nella sua intensa attività professionale.The Museum of Ceramic at Fule is a recent building because it was built in 2004 but offers the opportunity to face the important work that architect Liu Ke Cheng (1961 class)
She has been in the Architecture School for several years at Xi'an University of Architecture and Technology (XAUAT) and as Director of the UIA Committee on Architectural Heritage in Region IV (for Asia and Oceania ) and, last but not least, in its intense professional activity
Xi jing za ji: liu juan.
No full text葛洪集 ; 程榮校.綫裝, 1函.框19.9x14.2公分, 9行20字, 白口, 單白魚尾, 版心上鐫題名, 中鐫卷次, 下鐫葉次.明刻"漢魏叢書"本?Xian zhuang, 1 han.Kuang 19.9 x 14.2 gong fen, 9 hang 20 zi, bai kou, dan bai yu wei, ban xin shang juan ti ming, zhong juan juan ci, xia juan ye ci.Ming ke "Han Wei cong shu" ben?Ge Hong ji ; Cheng Rong jiao
Mu tian zi zhuan: liu juan.
No full text郭璞註 ; 程榮校.綫裝, 1函.框20.1x14.2公分, 9行20字, 小字雙行同, 白口, 單白魚尾, 左右雙邊. 版心上鐫題名, 中鐫卷次, 下鐫葉次.明刻"漢魏叢書"本?卷末鐫"錢塘郭志學寫"Xian zhuang, 1 han.Kuang 20.1 x 14.2 gong fen, 9 hang 20 zi, xiao zi shuang hang tong, bai kou, dan bai yu wei, zuo you shuang bian. Ban xin shang juan ti ming, zhong juan juan ci, xia juan ye ci.Ming ke "Han Wei cong shu" ben?Juan mo juan "Qiantang Guo Zhixue xie"Guo Pu zhu ; Cheng Rong jiao
Toward scalable and unbiased scene graph generation : active learning and causal inference perspectives
No full textAbstract
Scene Graph Generation (SGG) aims to construct structured representations of visual scenes by identifying objects and their pairwise relationships. Despite significant progress, SGG remains challenged by two core issues: the high cost of triplet-level annotations and the persistent biases in relationship prediction. This thesis addresses both challenges through two complementary research threads—label-efficient SGG and bias-mitigated SGG.
In the first thread, we introduce EDAL, a novel active learning framework that integrates evidential uncertainty estimation with diversity-aware sample selection. EDAL enables SGG models to achieve competitive performance using only 10\% of labeled data, dramatically reducing annotation costs while preserving generalization. In the second thread, we investigate the origin of biased predictions in SGG, which are often caused by long-tailed distributions, semantic confusion, and spurious correlations. To this end, we present a series of causal debiasing methods—TsCM, CAModule, and RcSGG—that leverage structural causal modeling, triplet-level logit adjustment, and reverse causal reasoning to systematically mitigate these biases.
Our methods are validated on multiple SGG benchmarks and backbones, achieving state-of-the-art performance on debiasing metrics while preserving overall accuracy. In addition, we highlight the potential of large-scale foundation models in future SGG research, given their success in improving generalization and alleviating annotation burdens in other vision tasks.
By unifying active learning and causal debiasing, this thesis offers a comprehensive framework for building scalable and fair SGG systems, opening new directions for structured visual understanding. Original papers Sun, S., Zhi, S., Heikkilä, J., & Liu, L. (2023). Evidential uncertainty and diversity guided active learning for scene graph generation. In ICLR 2023 : The Eleventh International Conference on Learning Representations. OpenReview.net. https://openreview.net/forum?id=xI1ZTtVOtlz Self-archived version Sun, S., Zhi, S., Liao, Q., Heikkilä, J., & Liu, L. (2023). Unbiased scene graph generation via two-stage causal modeling. IEEE Transactions on Pattern Analysis and Machine Intelligence, 45(10), 12562–12580. https://doi.org/10.1109/TPAMI.2023.3285009 https://doi.org/10.1109/TPAMI.2023.3285009 Self-archived version Liu, L., Sun, S., Zhi, S., Shi, F., Liu, Z., Heikkilä, J., & Liu, Y. (2025). A causal adjustment module for debiasing scene graph generation. IEEE Transactions on Pattern Analysis and Machine Intelligence, 47(5), 4024–4043. https://doi.org/10.1109/TPAMI.2025.3537283 https://doi.org/10.1109/TPAMI.2025.3537283 Self-archived version Sun, S., Liu, L., Liu, T., Zhi, S., Cheng, M.-M., Heikkilä, J., & Liu, Y. (2025). A reverse causal framework to mitigate spurious correlations for debiasing scene graph generation. IEEE Transactions on Pattern Analysis and Machine Intelligence, 47(9), 7470–7489. https://doi.org/10.1109/TPAMI.2025.3568644 https://doi.org/10.1109/TPAMI.2025.3568644 Self-archived version Tiivistelmä
Scene Graph Generation (SGG) pyrkii rakentamaan visuaalisista kohtauksista jäsenneltyjä esityksiä tunnistamalla objektit ja niiden väliset parisuhteet. Huolimatta merkittävästä edistyksestä alalla, SGG:tä vaivaavat edelleen kaksi keskeistä haastetta: kolmikkoanotointien korkeat kustannukset sekä pysyvät vinoumat suhdepäätelmissä. Tämä väitöskirja käsittelee molempia ongelmia kahden toisiaan täydentävän tutkimuslinjan kautta: tehokas annotointi (label-efficient SGG) ja vinoumien poistaminen (bias-mitigated SGG).
Ensimmäisessä tutkimuslinjassa esittelemme EDAL:n, uuden aktiiviseen oppimiseen perustuvan kehyksen, joka yhdistää todisteperusteisen epävarmuuden arvioinnin sekä monimuotoisuustietoisen näytevalinnan. EDAL mahdollistaa SGG-mallien kilpailukykyisen suorituskyvyn käyttämällä vain 10\% anotetuista tiedoista, mikä vähentää merkittävästi anotointikustannuksia ilman, että yleistettävyys kärsii. Toisessa tutkimuslinjassa tarkastelemme SGG:n vinoutuneiden ennusteiden alkuperää, jotka johtuvat usein pitkähäntäisistä jakaumista, semanttisesta sekaannuksesta ja näennäiskorrelaatioista. Esittelemme joukon kausaaliperustaisia vinoumanpoistomenetelmiä—TsCM, CAModule ja RcSGG—jotka hyödyntävät rakenteellista kausaalimallinnusta, triplatasoista logit-säätöä ja käänteistä kausaalipäättelyä näiden vinoumien systemaattiseen lievittämiseen.
Menetelmämme on validoitu useilla SGG-vertailuaineistoilla ja selkärankamalleilla, ja ne saavuttavat huipputason tuloksia vinoumametriikoissa samalla säilyttäen kokonaistarkkuuden. Lisäksi tuomme esiin suurten perusmallien (foundation models) potentiaalin tulevassa SGG-tutkimuksessa, erityisesti niiden yleistämiskyvyn ja anotointitarpeen keventämisen ansiosta muissa visuaalisissa tehtävissä.
Yhdistämällä aktiivisen oppimisen ja kausaalisen vinoumanpoiston tämä väitöskirja esittää kokonaisvaltaisen kehyksen skaalautuvien ja reilujen SGG-järjestelmien rakentamiseen, avaten uusia tutkimussuuntia jäsenneltyyn visuaaliseen ymmärrykseen. Osajulkaisut Sun, S., Zhi, S., Heikkilä, J., & Liu, L. (2023). Evidential uncertainty and diversity guided active learning for scene graph generation. In ICLR 2023 : The Eleventh International Conference on Learning Representations. OpenReview.net. https://openreview.net/forum?id=xI1ZTtVOtlz Rinnakkaistallennettu versio Sun, S., Zhi, S., Liao, Q., Heikkilä, J., & Liu, L. (2023). Unbiased scene graph generation via two-stage causal modeling. IEEE Transactions on Pattern Analysis and Machine Intelligence, 45(10), 12562–12580. https://doi.org/10.1109/TPAMI.2023.3285009 https://doi.org/10.1109/TPAMI.2023.3285009 Rinnakkaistallennettu versio Liu, L., Sun, S., Zhi, S., Shi, F., Liu, Z., Heikkilä, J., & Liu, Y. (2025). A causal adjustment module for debiasing scene graph generation. IEEE Transactions on Pattern Analysis and Machine Intelligence, 47(5), 4024–4043. https://doi.org/10.1109/TPAMI.2025.3537283 https://doi.org/10.1109/TPAMI.2025.3537283 Rinnakkaistallennettu versio Sun, S., Liu, L., Liu, T., Zhi, S., Cheng, M.-M., Heikkilä, J., & Liu, Y. (2025). A reverse causal framework to mitigate spurious correlations for debiasing scene graph generation. IEEE Transactions on Pattern Analysis and Machine Intelligence, 47(9), 7470–7489. https://doi.org/10.1109/TPAMI.2025.3568644 https://doi.org/10.1109/TPAMI.2025.3568644 Rinnakkaistallennettu versio Academic dissertation to be presented with the assent of the Doctoral Programme Committee of Information Technology and Electrical Engineering of the University of Oulu for public defence via remote access, on 27 November 2025, at 9 a.m.Abstract
Scene Graph Generation (SGG) aims to construct structured representations of visual scenes by identifying objects and their pairwise relationships. Despite significant progress, SGG remains challenged by two core issues: the high cost of triplet-level annotations and the persistent biases in relationship prediction. This thesis addresses both challenges through two complementary research threads—label-efficient SGG and bias-mitigated SGG.
In the first thread, we introduce EDAL, a novel active learning framework that integrates evidential uncertainty estimation with diversity-aware sample selection. EDAL enables SGG models to achieve competitive performance using only 10\% of labeled data, dramatically reducing annotation costs while preserving generalization. In the second thread, we investigate the origin of biased predictions in SGG, which are often caused by long-tailed distributions, semantic confusion, and spurious correlations. To this end, we present a series of causal debiasing methods—TsCM, CAModule, and RcSGG—that leverage structural causal modeling, triplet-level logit adjustment, and reverse causal reasoning to systematically mitigate these biases.
Our methods are validated on multiple SGG benchmarks and backbones, achieving state-of-the-art performance on debiasing metrics while preserving overall accuracy. In addition, we highlight the potential of large-scale foundation models in future SGG research, given their success in improving generalization and alleviating annotation burdens in other vision tasks.
By unifying active learning and causal debiasing, this thesis offers a comprehensive framework for building scalable and fair SGG systems, opening new directions for structured visual understanding.Tiivistelmä
Scene Graph Generation (SGG) pyrkii rakentamaan visuaalisista kohtauksista jäsenneltyjä esityksiä tunnistamalla objektit ja niiden väliset parisuhteet. Huolimatta merkittävästä edistyksestä alalla, SGG:tä vaivaavat edelleen kaksi keskeistä haastetta: kolmikkoanotointien korkeat kustannukset sekä pysyvät vinoumat suhdepäätelmissä. Tämä väitöskirja käsittelee molempia ongelmia kahden toisiaan täydentävän tutkimuslinjan kautta: tehokas annotointi (label-efficient SGG) ja vinoumien poistaminen (bias-mitigated SGG).
Ensimmäisessä tutkimuslinjassa esittelemme EDAL:n, uuden aktiiviseen oppimiseen perustuvan kehyksen, joka yhdistää todisteperusteisen epävarmuuden arvioinnin sekä monimuotoisuustietoisen näytevalinnan. EDAL mahdollistaa SGG-mallien kilpailukykyisen suorituskyvyn käyttämällä vain 10\% anotetuista tiedoista, mikä vähentää merkittävästi anotointikustannuksia ilman, että yleistettävyys kärsii. Toisessa tutkimuslinjassa tarkastelemme SGG:n vinoutuneiden ennusteiden alkuperää, jotka johtuvat usein pitkähäntäisistä jakaumista, semanttisesta sekaannuksesta ja näennäiskorrelaatioista. Esittelemme joukon kausaaliperustaisia vinoumanpoistomenetelmiä—TsCM, CAModule ja RcSGG—jotka hyödyntävät rakenteellista kausaalimallinnusta, triplatasoista logit-säätöä ja käänteistä kausaalipäättelyä näiden vinoumien systemaattiseen lievittämiseen.
Menetelmämme on validoitu useilla SGG-vertailuaineistoilla ja selkärankamalleilla, ja ne saavuttavat huipputason tuloksia vinoumametriikoissa samalla säilyttäen kokonaistarkkuuden. Lisäksi tuomme esiin suurten perusmallien (foundation models) potentiaalin tulevassa SGG-tutkimuksessa, erityisesti niiden yleistämiskyvyn ja anotointitarpeen keventämisen ansiosta muissa visuaalisissa tehtävissä.
Yhdistämällä aktiivisen oppimisen ja kausaalisen vinoumanpoiston tämä väitöskirja esittää kokonaisvaltaisen kehyksen skaalautuvien ja reilujen SGG-järjestelmien rakentamiseen, avaten uusia tutkimussuuntia jäsenneltyyn visuaaliseen ymmärrykseen
Atlanticus (Sinpacificus) jiangyei Cheng, Wang, Liu & Wu, 2016, sp. nov.
No full textAtlanticus (Sinpacificus) jiangyei sp. nov. Liu, Wang & Cheng (Figs. 1 A, C, E; 2 A, C, E, F; 3 A–C, G) http://lsid.speciesfile.org/urn:lsid: Orthoptera.speciesfile.org:TaxonName: 476677 Holotype. Male (No. JF 332), China: Jiangsu Prov.: Park of Chanzhou City, 2014. VII. 7, Coll. Jiangye. Paratype. 4 males (No. JF 333), 1 female (No. JF 334, 336, 342, 371), same data as in holotype. Diagnosis. Large-size compared to the congeners in the pieli group of the subgenus Sinpacificus. Proximal three quarters of stridulatory file on underside of left tegmen with 73 distinct stridulatory teeth which gradually becoming larger towards basal quarter (Fig. 1 A). Mirror length and width (2.2mm, 2.0mm) (Fig. 1 C). Greatest length of secondary mirror (3.8mm), smallest length of secondary mirror (2.0 mm) (Fig. 1 C). Description. Holotype. Male. Disc of prozona slightly convex, and metazona approximately flat caudad. Narrowest in first transverse sulcus or at basal one sixth, and then gradually amplified caudad. Lateral lobes of pronotum deepest in middle; anterior margin very slightly concave, posterior margin oblique with a very indistinct central concavity, ventral margin slanting caudad to posterior angle. Tegmen amplified, extending to the seventh abdominal tergum. Tegmen with clear longitudinal and cross veins; radial vein giving out two branches in apical one third part, median vein flat dorsal and lateral planes at right angles to each other; lateral plane deepest in apical quarter (Fig. 1 E). Leg spination. Fore femora with 2 interior ventral spines. Middle femur with 3 external ventral spines. Hind femur with 5 interior spines on ventral margin. Fore tibiae with 4 dorsal spines on exterior margin and 6 ventral spines on both margins; middle tibiae with 6 ventral spines on both margins, 5 exterior and 3 interior spines on dorsal margins; hind tibiae with 19 exterior and 22 interior spines on dorsal margins. Tenth abdominal tergum with a long and narrow central “V”-shape cleft in apical two thirds (Fig. 2 A). Cerci robust, short, of even width to small uncinate internal tooth in basal one-third area, and then gradually constricted and slightly incurved, with a bluntly pointed tooth. Subgenital plate with a wide “U”-shaped notch between styli; notch slightly longer than half length of styli (Fig. 2 C). Female (Figs. 2 E, F). Tenth abdominal tergum with a slight central “V”-shaped notch. Cerci conical, with obtuse apex. Apical margin of subgenital plate with a very tiny wide “U”-shaped emargination (Fig. 2 E). Ovipositor moderately long, straight, apical half recurved, with apex obliquely truncated (Fig. 2 F). Coloration. Generally brown, with yellow ventral surface of abdomen. Lateral surface of tegmen dark brown. The following parts shining blackish brown: lateral surfaces of fastigium of vertex; basal and apical quarter of each lateral lobe of pronotum with exception of the white lower stripe; basal one third radial areas between radial and subcostal veins; lateral surface of fore femur, and basal stripe of dorsal surface of fore femur; discontinuous spots between upper and lower halves of hind femur. Lower one third part of dorsal surface of tegmen brown. Stripe in lower quarter area of lateral lobe of pronotum and costal area of tegmen white. Measurement (mm). Length of body: male 30.1, female 31.1; length of pronotum: male 11.35–11.62, female 10.01–10.93; width of pronotum: male 5.93–6.59, female 5.71–6.09; length of fore femur: male 8.3, female 8.1; length of middle femur: male 9.0, female 9.5; length of hind femur: male 27.90–29.69, female 27.96–30.30; length of tegmen: male 17.12, female 5.56–6.38; width of tegmen: male 5.55, female 2.32–2.62; length of ovipositor: 16.22–17.45; width of ovipositor 2.72–3.4. Song (Figs. 3 A–C, G). The calling song consists of regular repeated units or echeme series (Figs. 3 A–C). The frequency ranges from 6 to 22 kHz, and the frequency of main peak is about 10.5 kHz (Fig. 3 G). Each phrase consists of numerous syllables. The important parameters are listed (Table 1). TABLE 1. Sοng parameters οf Atlanticus (Sinpacificus) species (N∶ number οf individuals, n∶ number οf measurements, mean ± sd, minimum-maximum). PLATE 1. (A–E) Stridulatory apparatus of Atlanticus (Sinpacificus) species. (A, C, E) Atlanticus (Sinpacificus) jiangyei sp. n.; (B, D, F) Atlanticus (Sinpacificus) helleri sp. n.. (A, B) Stridulatory file on underside of male left tegmen; (C, D) Mirror on right tegmen; (E, F) Stridulatory apparatus on left tegmen. Notes. The new species belongs to the Pieli species group in Tinkham (1941). It most resembles A. (S.) huangfu Liu in the comparative long tegmen, but distinctly differs from A. (S.) huangfu and other congeners in the Pieli group by the coloration, number of stridulatory teeth, area of male mirror, and details of male and female abdominal apex such as shape of notch of male tenth abdominal tergum, shape of notch of male subgenital plate, and short female ovipositor. Etymology. The new species is named after Mr. Jiang Ye in Jiangsu Province in China for his contribution to the collection of Tettigoniidae. Distribution. China (Jiangsu). PLATE 2. Abdominal apex of Atlanticus (Sinpacificus) species. (A, C, E, F) Atlanticus (Sinpacificus) jiangyei sp. n.; (B, D) Atlanticus (Sinpacificus) helleri sp. n.. (A, B) Male tenth abdominal tergum in dorsal view; (C, D) Male subgenital plate in ventral view; (E) Female subgenital plate in ventral view; (F) Female abdominal apex including ovipositor in lateral view. PLATE 3. Ozillogramms of calling songs of Atlanticus (Sinpacificus) species (A–F). Sonogramm (right) and power spectrum (left) of the calling song of Atlanticus (Sinpacificus) species (G–H). (A–C, G) Atlanticus (Sinpacificus) jiangyei sp. n.; (D–F, H) Atlanticus (Sinpacificus) helleri sp. n.. (A, D) scheme series during 5 S; (B, E) scheme series (showing syllables per scheme) during 1 S; (C, F) syllable series during 100 milliseconds.Published as part of Cheng, Kun, Wang, Xue-Song, Liu, Chun-Xiang & Wu, Chao, 2016, Description of two new species of the genus Atlanticus from Southern China and their songs (Orthoptera: Tettigoniidae; Tettigoniinae), pp. 473-480 in Zootaxa 4103 (5) on pages 474-478, DOI: 10.11646/zootaxa.4103.5.5, http://zenodo.org/record/25993
Primitive zero-symmetric sign pattern matrices with the maximum base
No full textAbstractIn [B. Cheng, B. Liu, The base sets of primitive zero-symmetric sign pattern matrices, Linear Algebra Appl. 428 (2008) 715–731], Cheng and Liu studied the bases of primitive zero-symmetric sign pattern matrices. The sharp upper bound of the bases was obtained. In this paper, we characterize the sign pattern matrices with the sharp bound
Ban dao ti wei qiang zhong dian ci ji hua zi liu ti de tu an xing cheng
No full textChan, Ka Pang = 半導體微腔中電磁極化子流體的圖案形成 / 陳家鵬.Thesis M.Phil. Chinese University of Hong Kong 2015.Includes bibliographical references (leaves 168-171).Abstracts also in Chinese.Title from PDF title page (viewed on 30, November, 2016).Chan, Ka Pang = Ban dao ti wei qiang zhong dian ci ji hua zi liu ti de tu an xing cheng / Chen Jiapeng
Atlanticus (Sinpacificus) helleri Cheng, Wang, Liu & Wu, 2016, sp. nov.
No full textAtlanticus (Sinpacificus) helleri sp. nov., Liu, Wang & Cheng (Figs. 1 B, D, F; 2 FB, D; 3 D–F, H) http://lsid.speciesfile.org/urn:lsid: Orthoptera.speciesfile.org:TaxonName: 476683 Holotype. Male (No. JF 343), China: Jiangsu Prov.: Park of Chanzhou City, 2014. VII. 7, Coll. Jiangye. Paratype. 1 male (No. JF 335), same data as in holotype. Diagnosis. Small-sized compared to the congeners in the Pieli group of the subgenus Sinpacificus. Proximal three quarters of stridulatory file on underside of left tegmen with 48 distinct stridulatory teeth which gradually becoming larger centrad (Fig. 1 B). Mirror length and width (1.3mm, 1.3mm) (Fig. 6 D). Greatest length of secondary mirror (3.1mm), smallest length of secondary mirror (1.1 mm) (Fig. 6 D). Description. Holotype. Male. Disc of prozona slightly convex, and metazona approximately flat behind. Narrowest in first transverse sulcus or at basal one sixth, and then gradually amplified caudad. Lateral lobes of pronotum deepest in basal one third area; anterior margin very slightly concave, posterior margin oblique with a very indistinct central concavity, ventral margin aslant caudad to posterior angle. Tegmen amplified, extending to the eighth abdominal tergum. Tegmen with clear longitudinal and cross veins; radial vein giving out two branches in apical one third part, median vein flat dorsal and lateral planes at right angles to each other; lateral plane deepest in apical one third part (Fig. 1 F). Leg spination. Fore femora with 2 interior ventral spines. Middle femur with 1–2 external ventral spines in apical half. Hind femur with 4 interior spines on ventral margin in central three quarters area. Fore tibiae with 3 dorsal spines on exterior margin and 5 ventral spines on both margins; middle tibiae with 6 ventral spines on both margins, 1 exterior and 3 interior spines on dorsal margins; hind tibiae with 22 exterior and 26 interior spines on dorsal margins. Tenth abdominal tergum with a broad central “U”-shaped notch cleft in apical one-third (Fig. 2 B). Cerci robust, short, of even width to small uncinate internal median tooth; apical half gradually constricted and slightly incurved, with a bluntly pointed tooth. Subgenital plate with a wide “U”-shaped notch between styli; notch slightly shorter than half length of styli (Fig. 2 D). Female unknown. Coloration. Generally reddish brown. The following parts shining blackish brown: lateral surfaces of fastigium of vertex; basal and apical quarter of each lateral lobe of pronotum with exception of the white lower stripe; upper area of lateral surface of posterior thorax, and basal one third radial areas between radial and subcostal veins; lateral surface of fore femur, and basal stripe of dorsal surface of fore femur; discontinous spots between upper and lower halves of hind femur. Tegmen brown. Stripe in lower quarter area of lateral lobe of pronotum and costal area of tegmen white. Ventral surface of abdomen reddish brown. Measurement of male (mm). Length of body: 26; length of pronotum: 10.15–10.52; width of pronotum: 4.6– 5.52; length of fore femur: 7; length of middle femur: 8; length of hind femur: 26.45–26.62; length of tegmen: 13.48–13.81; width of tegmen: 3.92–4.27. Song (Figs. 3 D–F, H). The calling song consists of regular repeated units or echeme series (Figs. 3 D–F). The frequency ranges from 1 to 20 kHz, and the frequency of main peak is about 6 kHz and that of second peak is about 9 kHz (Figs. 3 H). Each echeme consists of numerous syllables. The important parameters are listed (Table 1). Notes. The new species also belongs to the Pieli group in Tinkham (1941). It most resembles A. (S.) kiangsu Ramme and A. (S.) pieli Tinkham in the small size and short tegmen, but differs from A. (S.) kiangsu, A. (S.) pieli and other congeners in the Pieli group by the shape and length of pronotum, much less number of stridulatory teeth and details of male abdominal apex especially shape of notch of tenth abdominal tergum. Etymology. The new species is named after Dr. Klaus-Gerhard Heller, Germany for his great contributions to the bioacoustics of Tettigoniidae. Distribution. China (Jiangsu).Published as part of Cheng, Kun, Wang, Xue-Song, Liu, Chun-Xiang & Wu, Chao, 2016, Description of two new species of the genus Atlanticus from Southern China and their songs (Orthoptera: Tettigoniidae; Tettigoniinae), pp. 473-480 in Zootaxa 4103 (5) on page 479, DOI: 10.11646/zootaxa.4103.5.5, http://zenodo.org/record/25993
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