顶端新闻记者 王银萍 11月22日至23日，第九届"强网杯"全国网络安全挑战赛系列活动在河南郑州举行。其间，备受瞩目的国 内首个"天基互联网安全"专项赛圆满收官。本次专项赛精准切中国家战略需求，首次将网络空间安全的 前沿阵地延伸至太空领域，旨在探索并筑牢未来太空网络的安全基石，为网络强国与航天强国建设注入 新质人才动能。 比赛现场，多支队伍创新性地运用了数据流分析、指令逆向工程与动态姿态仿真一体化等技术方案，实 现了对卫星"大脑"（星务软件）与"身体"（姿态机构）的精准协同控制，为未来天地一体化安全防护提 供了宝贵的技术思路。 参赛队员们赛后表示，天基安全对他们来说是一个全新的赛道。"此次比赛不仅考验我们传统网络安全 技能，更要求对航天领域有深刻认识，所以赛场上我们需要把航天领域的具体问题进行层层拆解，再运 用传统网络安全技术去寻找突破口，非常有挑战性。"一位参赛选手说。 以赛促建，从"虚拟"到"在轨"的实践检验 随着卫星互联网的快速发展，空天网络的安全直接关系到国家信息主权与战略安全。国家杰出青年科学 基金获得者王尚广教授表示，近年来，随着地面上新技术在卫星上应用越来越多，卫星互联网领域的安 全问题也愈加突 ...

Market Overview - The Shanghai Composite Index rose by 0.65% on December 1, with 28 out of 31 sectors experiencing gains, led by the metals and communications sectors, which increased by 2.85% and 2.81% respectively [1] - The total net inflow of capital in the two markets was 775 million yuan, with 11 sectors seeing net inflows [1] Sector Performance - The electronics sector had the highest net inflow of capital, amounting to 7.22 billion yuan, and saw a rise of 1.58% [1] - The communications sector also performed well, with a net inflow of 5.56 billion yuan and a daily increase of 2.81% [1] Individual Stock Performance in Communications Sector - The communications sector had 124 stocks, with 102 stocks rising and 8 hitting the daily limit up [2] - ZTE Corporation led the net inflow with 4.39 billion yuan, followed by Guanghetong and Zhongji Xuchuang with 1.03 billion yuan and 809 million yuan respectively [2] - The top gainers in the communications sector included ZTE Corporation (10.00% increase), Guanghetong (20.01% increase), and Zhongji Xuchuang (4.57% increase) [2] Capital Outflow in Communications Sector - The communications sector also had stocks with significant capital outflows, with Changxin Bochuang leading at 703 million yuan, followed by Guangku Technology and China Mobile with 422 million yuan and 272 million yuan respectively [3] - The top decliners included Changxin Bochuang (-4.35%), Guangku Technology (-1.81%), and China Mobile (-0.60%) [3]

11月28日，2025分析师大会暨第七届新浪财经"金麒麟（18.360， 0.16， 0.88%）"最佳分析师颁奖盛典 隆重召开。逾300名权威学者、公私募掌舵人、上市公司董事长、顶级基金经理、首席分析师齐聚上 海，共同探讨中国资本市场的未来机遇。 同时，第七届新浪财经金麒麟最佳分析师评选结果隆重揭晓。第一名 国盛证券宋嘉吉、黄瀚研究团队 荣获第七届新浪财经金麒麟通信行业"最佳分析师"第一名。团队成员有首席分析师：宋嘉吉；联席首 席：黄瀚；团队成员：黄瀚、赵丕业、邵帅、石瑜捷、孙爽、任鹤义。 追溯过往通信行业金麒麟最佳分析师，国盛证券宋嘉吉、黄瀚从第三届的第六名，至第五届通信行业第 二名，第六届通信行业的第三名，至第七届的第一名。 专题：2025分析师大会：资本市场"奥斯卡"！机构称A股迎全球资本涌入的大牛市 炒股就看金麒麟分析师研报，权威，专业，及时，全面，助您挖掘潜力主题机会！ 国盛证券通信行业周报：海内海外布局加速，新一轮产能释放的前夜 面对算力需求爆发性增长，光模块头部厂商开启海内海外双线并行的产能扩张。 光通信龙头全球化产能扩张持续进行：光通信龙头厂商通过全球产能布局，建立包括中国大陆与东南亚 的多 ...

Core Insights - The article discusses a new state-of-the-art (SOTA) model for long-text image retrieval called HiMo-CLIP, developed by the China Unicom Data Science and AI Research Institute, which addresses limitations in existing models like CLIP by effectively capturing semantic differences in context [2][4]. Group 1: Model Limitations - Existing models, including Long-CLIP, struggle with long text descriptions, often resulting in decreased alignment scores as the text becomes more detailed, indicating a failure to process the hierarchical structure of language [6][9]. - The phenomenon where longer descriptions lead to lower alignment scores highlights the inadequacy of current models in distinguishing core semantics from detailed information [6][9]. Group 2: HiMo-CLIP Framework - HiMo-CLIP introduces a plug-and-play representation framework that includes two core components: Hierarchical Decomposition (HiDe) and Monotonicity-aware Contrastive Loss (MoLo) [10][12]. - HiDe dynamically extracts semantic components using PCA within batches, while MoLo enforces alignment between the full text and its semantic components, ensuring monotonicity [12][17]. Group 3: Performance and Efficiency - HiMo-CLIP demonstrates significant advantages in both long and short text retrieval tasks, outperforming models trained on much larger datasets, achieving SOTA with only 1 million training samples [17][20]. - The model's ability to extract unique features from complex scenes allows it to maintain high performance across various retrieval benchmarks [18][22]. Group 4: Evaluation Metrics - The research team constructed the HiMo-Docci dataset and introduced the HiMo@K metric to quantify the model's understanding of hierarchical structures, achieving a high monotonicity correlation coefficient of 0.88, surpassing comparative methods [22][25]. - As text descriptions become more complete, HiMo-CLIP's scores show a consistent upward trend, while other models exhibit significant fluctuations [25][26].

Core Insights - The article highlights the successful establishment of nine 5G factories in Anhui, which have been recognized in the national directory by the Ministry of Industry and Information Technology, marking a significant milestone in the province's industrial internet development [1][2] - Anhui Unicom is positioned as a key player in driving digital transformation in manufacturing, leveraging 5G and industrial internet technologies to support high-quality development in the region [1][2] Group 1: 5G Factory Development - Nine 5G factories in Anhui have been included in the national-level directory, showcasing the province's advancements in smart manufacturing [1][2] - These factories are distributed across multiple cities, including Wuhu, Suzhou, and Huangshan, indicating a collaborative regional approach to smart manufacturing [1] Group 2: Technological Advancements - Anhui Unicom is utilizing breakthroughs in 5G technology, mobile edge computing, artificial intelligence, and digital twins to fill technological gaps in smart manufacturing scenarios [2] - The company aims to create sustainable value for industrial enterprises through the application of cutting-edge technologies like 5G [1] Group 3: Strategic Vision - Anhui Unicom's vision is to become the preferred partner for the intelligent upgrade of manufacturing in the Jianghuai region, emphasizing a technology-led and collaborative empowerment approach [1] - The company is committed to enhancing regional collaboration and industrial integration to contribute to the high-quality development of the Yangtze River Delta [2]

Core Insights - The article discusses the advancements in diffusion models, particularly focusing on the ShortDF and LeMiCa papers, which represent significant breakthroughs in the field of image and video generation [1][2][4]. Group 1: Technical Evolution - ShortDF serves as a theoretical pioneer in optimizing diffusion models through online training, while LeMiCa expands this theory into offline mapping for higher-dimensional tasks [4]. - The core challenge in diffusion models is the expensive inference costs, which hinder real-time applications [8]. - The non-linear denoising trajectory of diffusion models is identified as a primary reason for slow progress in the field [9]. Group 2: ShortDF's Mechanisms - ShortDF introduces a "shortest path optimization" approach to directly straighten the denoising trajectory during training, aiming to break the trade-off between speed and quality [12]. - The model's core insight is that the denoising process is fundamentally a correction of the initial error, which can be minimized to improve overall performance [13][14]. - ShortDF employs a three-pronged strategy: 1. Locking the "error upper bound" to optimize from the source [14][15]. 2. Utilizing graph theory to relax and compress paths, thereby minimizing the error upper bound [20][21]. 3. Implementing multi-state optimization to ensure training stability amidst random noise [28][29]. Group 3: Performance Metrics - ShortDF demonstrates superior performance in speed and quality, achieving a 5.0 times speed increase over DDIM while improving image quality (FID score of 9.08 compared to DDIM's 11.14) [36]. - The model shows robustness in complex scenarios, effectively restoring object contours faster than competing methods [37]. - In various datasets, ShortDF maintains a balance between performance and speed, showcasing its potential for real-world applications [40]. Group 4: Industry Implications - The advancements in ShortDF and LeMiCa highlight the importance of refined mathematical modeling over mere computational power in enhancing diffusion model speeds [41]. - These developments are crucial for the application of AIGC technology in resource-constrained environments, such as mobile devices and real-time interactive designs [42].

FF301 第 1 頁 共 10 頁 v 1.1.1 FF301 II. 已發行股份及/或庫存股份變動 股份發行人及根據《上市規則》第十九B章上市的香港預託證券發行人的證券變動月報表 | 截至月份: | 2025年11月30日 | 狀態: | 新提交 | | --- | --- | --- | --- | | 致：香港交易及結算所有限公司 | | | | | 公司名稱: | 中國聯合網絡通信 (香港) 股份有限公司 | | | | 呈交日期: | 2025年12月1日 | | | | I. 法定/註冊股本變動 不適用 | | | | | 1. 股份分類 | 普通股 | 股份類別 | 不適用 | | 於香港聯交所上市 (註1) | 是 | | | --- | --- | --- | --- | --- | --- | --- | --- | | 證券代號 (如上市) | 00762 | 說明 | | | | | | | | | 已發行股份（不包括庫存股份）數目 | | 庫存股份數目 | | 已發行股份總數 | | | 上月底結存 | | | 30,598,124,345 | | 0 | | 30,598,124 ...

Core Insights - The 2025 World Intelligent Manufacturing Expo showcased cutting-edge achievements in intelligent manufacturing, featuring humanoid robots, advanced manufacturing equipment, digital solutions, and AI applications [1][2] - The expo attracted 456 companies from 21 countries and regions, presenting over 2000 innovative results in the field of intelligent manufacturing [1][2] Group 1: Exhibition Highlights - The expo covered an area of 55,000 square meters with four main exhibition halls focusing on robots, smart factories, industrial software, and intelligent equipment [1] - Notable exhibitors included KUKA, Hyundai, and Tesla, showcasing the integration of robotics technology in intelligent manufacturing [2] - The event featured an international exhibition area with leading global companies like Phoenix and Honeywell presenting advanced technologies and solutions [2] Group 2: Educational Engagement - Over 2000 university students and nearly 3000 middle and primary school students participated, experiencing various intelligent manufacturing technologies [3] - Interactive zones featured innovative products such as a fully steerable flying car and various autonomous devices, attracting significant visitor interest [3] Group 3: Business Opportunities - The expo facilitated direct negotiations between 59 companies from 35 countries, resulting in preliminary purchase orders worth 60 million yuan [4] - A total of 41 events were held during the expo, addressing key topics like digital transformation and industrial intelligence ecosystems [4] - The expo aimed to enhance international cooperation and market expansion for participating companies, contributing to the modernization of the industrial system in China [4]

Core Insights - The recent commercialization of Google's TPU is impacting NVIDIA's strong ecosystem, but a coexistence of related ecosystems is expected in the future [1] - The TMT sector, including telecommunications, is facing short-term valuation corrections due to geopolitical conflicts, the US-China tech rivalry, and uncertainties in AI investments [1] - Long-term trends in the TMT sector, such as 6G development, domestic substitution, and military industry growth, are anticipated to catalyze market opportunities in computing power leasing, satellite communications, and 6G [1] Group 1 - The acceleration of commercial aerospace is expected to boost satellite internet applications [2] - The National Space Administration has launched an action plan for high-quality development in commercial aerospace by 2027, indicating a dedicated regulatory body for the industry [2] - The issuance of satellite internet licenses is a significant step towards commercial operation, which is expected to drive the entire industry chain towards scaling [2] Group 2 - Recommended beneficiaries in satellite communication and satellite IoT include companies like Chengchang Technology, Guobo Electronics, and Zhenlei Technology [3] - The terminal antenna industry chain includes listed companies such as Chengchang Technology and Tongyu Communication, as well as non-listed companies like Tianrui Xingtong [3] - Key players in terminal chips and core networks include China Mobile, China Unicom, and China Telecom [3] Group 3 - Testing instruments related to the industry include companies like Kunheng Shunwei and Chuangyuan Xinke [4]

Group 1 - The Central Commission for Discipline Inspection (CCDI) and the National Supervisory Commission organized the first digital modeling exchange event for supervision and case handling, showcasing smart supervision models applied in various business areas such as oil and gas sales, material procurement, and engineering construction [1] - The event aimed to enhance the capabilities of discipline inspection and supervision personnel in utilizing big data for supervision and investigation work, aligning with the CCDI's focus on high-quality development in discipline inspection [1] - The CCDI has completed the deployment of discipline inspection teams to state-owned enterprises, emphasizing the importance of professional training and systematic learning for improving the capabilities of inspection personnel [1] Group 2 - The CCDI's discipline inspection team at China Petroleum developed a practical training plan for discipline inspection personnel, focusing on real-world training and establishing mechanisms for comprehensive learning and mentorship [2] - The discipline inspection team at China Unicom issued a three-year training plan to ensure that all key personnel participate in relevant training organized by the CCDI, emphasizing the need for targeted and effective training [2] - Training methods include theoretical guidance, case studies, and scenario simulations to enhance the practical skills of discipline inspection personnel [2] Group 3 - The discipline inspection team at the South-to-North Water Diversion Group focused on common disciplinary issues by embedding real cases into relevant scenarios for simulation exercises, enhancing practical capabilities through immersive training [3] - The team at State Power Investment Corporation set up courses on evidence collection, data empowerment, and case safety, addressing the specific characteristics of corruption issues in state-owned enterprises [4] - The discipline inspection team at China Mobile developed training courses on investigation procedures and practical operations, aiming to improve the effectiveness and relevance of training [4] Group 4 - The CCDI's discipline inspection teams are innovating training models by involving personnel in case handling and on-the-job training to enhance their capabilities in compliance and law enforcement [4] - The discipline inspection team at China Sinochem sent personnel for practical training at the CCDI headquarters and organized extensive training sessions to improve compliance capabilities at all levels [4] - The discipline inspection team at China Baowu Steel Group is focusing on developing the skills of promising lower-level inspectors through hands-on involvement in significant investigations [5]