Group 1 - The communication index has shown a strong increase of 1.23%, with notable stocks such as Qiyu Technology reaching the daily limit increase and Cambridge Technology rising by 7.18% [1] - The communication ETF has seen a weekly increase of 5.11%, ranking first among comparable funds [1] - The trading volume of the communication ETF was 4.34%, with a transaction value of 4.74 million yuan [3] Group 2 - The communication ETF has experienced a significant growth in scale, increasing by 2.26 million yuan over the past two weeks, leading among comparable funds [3] - The ETF's share count has grown by 22 million shares in the last three months, also ranking first among comparable funds [3] - Zhongji Xuchuang, a leading company in optical communication, reported a revenue of 23.862 billion yuan for 2024, a year-on-year increase of 122.64%, and a net profit of 5.171 billion yuan, up 137.93% [3] Group 3 - The first quarter of 2025 saw Zhongji Xuchuang achieve a revenue of 6.674 billion yuan, a year-on-year increase of 37.82%, and a net profit of 1.583 billion yuan, up 56.83% [3] - Predictions indicate that global AI spending will reach 500 billion dollars in 2025, suggesting sustained high growth in revenue and profit for related companies [3] - Companies in the server and connector sectors are expected to perform well due to increased AI demand and capital expenditure growth from domestic and international internet firms [3] Group 4 - The top ten weighted stocks in the communication index account for 58.92% of the total, including major players like China Telecom, ZTE, and China Mobile [4] - Investors can access optical communication investment opportunities through the communication ETF linked fund [4]

Group 1: 5G-A Network Overview - The transition from "5G" to "5G-A" indicates a significant upgrade in network capabilities, with 5G-A offering peak download speeds of up to 10Gbps compared to 1Gbps for standard 5G [1] - To access 5G-A speeds, users must have compatible devices, activate a 5G-A data plan, and be within the coverage area of 5G-A base stations [1] - 5G-A is crucial for industries requiring high-speed connectivity, such as drones and smart driving, enhancing the overall user experience in various applications [1] Group 2: Technological Advancements - 5G-A enhances multiple dimensions including capacity, speed, latency, positioning accuracy, and connection stability, supporting advanced applications like XR and 3D without glasses [2] - In the smart driving sector, 5G-A's low latency and high precision enable real-time traffic signal reception and obstacle warnings, improving safety [3] - The integration of 5G-A with satellite navigation systems allows for centimeter-level vehicle positioning, facilitating advanced driving applications [3] Group 3: Industry Growth and Opportunities - The low-altitude economy is experiencing rapid growth, coinciding with the commercial rollout of 5G-A, which enhances operational efficiency in the drone industry [3] - Major telecommunications companies are actively expanding their 5G-A networks, with China Mobile planning to cover over 300 cities by the end of 2024 [5] - China Telecom and China Unicom are also increasing their 5G-A deployments, with significant investments and plans for extensive coverage [6] Group 4: Policy and Future Projections - Local governments are supporting 5G-A applications, with initiatives launched in provinces like Shandong and Chongqing to enhance network infrastructure [6] - By 2025, the information and communication industry aims to achieve comprehensive commercial deployment of 5G-A, with projections indicating that China will account for over 50% of global 5G-A users [7]

Investment Rating - The report maintains an "Outperform" rating for the telecommunications industry [2] Core Viewpoints - The report suggests that the long-standing trade friction between China and the U.S. may ease, leading to potential benefits for the Chinese industry [10][11] - It highlights that Chinese manufacturers are becoming indispensable in the international supply chain, particularly in the IoT module market and AI hardware supply [11] - The report anticipates adjustments in AI chip export restrictions, which could alter the competitive landscape in the AI sector [12][13] Summary by Sections Investment Strategy - **U.S.-China Trade Relations**: The report indicates that U.S.-China negotiations may begin, with expectations of tariff reductions, particularly on the current 145% tariffs imposed by the U.S. [10] - **Chinese Industry Benefits**: It notes that Chinese firms dominate the global IoT module market, holding over 50% market share among the top three manufacturers [11] - **AI Chip Export Regulations**: The report discusses potential relaxations in AI chip export restrictions by the U.S., which could significantly impact American companies, especially in the context of the growing Chinese AI market projected to reach $50 billion [12][13] Industry News - **Low-altitude Economy in Wuhan**: Wuhan plans to establish 1,000 low-altitude takeoff and landing sites, aiming for a 20% increase in the low-altitude economy [14] - **Alibaba's ZeroSearch**: Alibaba has open-sourced the ZeroSearch model, significantly reducing costs by over 87% while enhancing search capabilities [15] - **Starlink in India**: Starlink has received approval to provide satellite communication services in India, which may accelerate satellite internet development globally [16] - **Shenzhen's 5G Network**: Shenzhen is constructing a comprehensive "5G + millimeter wave + satellite" network, aiming for full coverage and improved infrastructure [17] Weekly Review and Focus - **Market Performance**: The telecommunications sector saw a slight increase of 0.02%, underperforming compared to major indices, with notable gains in optical modules and low-altitude economy sectors [18][21] - **Investment Recommendations**: The report suggests focusing on companies involved in the overseas supply chain, such as Yiyuan Communication and Industrial Fulian, as well as long-term attention on major telecom operators and infrastructure providers [22]

Core Viewpoint - The communication industry is experiencing significant growth in Q1 2025, particularly in sectors such as optical modules, Beidou navigation, and AI supply chains, while some traditional sectors are facing declines in profitability [2][3][4]. Summary by Sections Overall Industry Performance - In 2024, the communication industry (A-shares) with 170 companies achieved a net profit of 208.29 billion yuan, a year-on-year increase of 4.4%. Excluding the three major operators, the net profit was 27.88 billion yuan, a decrease of 4.2% [2]. - In Q1 2025, the same 170 companies reported a net profit of 52.51 billion yuan, a year-on-year increase of 5.4% and a quarter-on-quarter increase of 88.3%. Excluding the three major operators, the net profit was 10.41 billion yuan, a year-on-year increase of 13.7% [2]. Sub-industry Performance in 2024 - The sub-industry net profit growth rates for 2024, ranked from highest to lowest, are as follows: - Optical Modules: 12.30 billion yuan, +113% - IoT: 1.18 billion yuan, +69% - AI Supply Chain: 43.59 billion yuan, +37% - Operators: 180.41 billion yuan, +6% - Server Supply Chain: 14.69 billion yuan, +3% - Fiber Optics and Cables: 6.28 billion yuan, -4% - Main Equipment: 8.85 billion yuan, -7% - Connectors and Cables: 7.49 billion yuan, -7% - IDC: 5.01 billion yuan, -9% - Switches: 1.61 billion yuan, -30% - Enterprise Communication: 3.25 billion yuan, breakeven - Beidou Navigation: -0.05 billion yuan, N/A - Network Visualization: -0.33 billion yuan, N/A - Antenna RF: -0.005 billion yuan, N/A - Satellite Communication: -0.49 billion yuan, N/A - Private Networks: -3.33 billion yuan, N/A [3]. Sub-industry Performance in Q1 2025 - The sub-industry net profit growth rates for Q1 2025, ranked from highest to lowest, are as follows: - Beidou Navigation: 0.13 billion yuan, +193% - Optical Modules: 4.50 billion yuan, +110% - AI Supply Chain: 12.82 billion yuan, +65% - IoT: 0.34 billion yuan, +18% - Fiber Optics and Cables: 1.34 billion yuan, +11% - Server Supply Chain: 3.94 billion yuan, +4% - Operators: 42.10 billion yuan, +4% - Enterprise Communication: 0.68 billion yuan, +0% - Connectors and Cables: 1.90 billion yuan, -6% - Main Equipment: 2.35 billion yuan, -10% - Switches: 0.38 billion yuan, -16% - IDC: 1.11 billion yuan, -20% - Satellite Communication: 0.07 billion yuan, -31% - Private Networks: -0.03 billion yuan, -112% - Network Visualization: -0.17 billion yuan, N/A - Antenna RF: -0.036 billion yuan, N/A [4]. Top Companies by Profit in Q1 2025 - The top 10 companies by net profit in Q1 2025 are: - China Mobile: 30.63 billion yuan, +3% - China Telecom: 8.86 billion yuan, +3% - China Unicom: 2.61 billion yuan, +7% - ZTE: 2.45 billion yuan, -11% - Zhongji Xuchuang: 1.58 billion yuan, +57% - Runze Technology: 0.43 billion yuan, -9% - Unisplendour: 0.35 billion yuan, -16% - NewEase: 1.57 billion yuan, +385% - Zhongtian Technology: 0.63 billion yuan, -1% - Yilian Network: 0.56 billion yuan, -1% [5][8]. Top Companies by Year-on-Year Growth in Q1 2025 - The top 10 companies by year-on-year growth in net profit for Q1 2025 are: - Bochuang Technology: 0.09 billion yuan, +322652% - Ruijie Networks: 0.11 billion yuan, +4544% - Guangha Communication: 0.0009 billion yuan, +1034% - Shijia Photon: 0.093 billion yuan, +1004% - Yongding Co.: 0.29 billion yuan, +961% - NewEase: 1.57 billion yuan, +385% - Pingzhi Information: 0.011 billion yuan, +287% - Yiyuan Communication: 0.21 billion yuan, +287% - Gongjin Co.: 0.022 billion yuan, +268% - Xingwang Ruijie: 0.042 billion yuan, +265% [9].

Investment Rating - The communication industry is rated as "Overweight" (maintained) [1] Core Insights - The communication industry achieved high growth in Q1 2025, with notable performance in optical modules, Beidou navigation, and AI supply chains. In 2024, 170 companies in the A-share communication sector reported a total net profit attributable to shareholders of 208.29 billion yuan, a year-on-year increase of 4.4%. Excluding the three major operators, the net profit was 27.88 billion yuan, a year-on-year decrease of 4.2%. In Q1 2025, the same 170 companies reported a net profit of 52.51 billion yuan, a year-on-year increase of 5.4% and a quarter-on-quarter increase of 88.3%. Excluding the three major operators, the net profit was 10.41 billion yuan, a year-on-year increase of 13.7% [3][4][5]. Summary by Sections Overall Industry Performance - The communication industry is divided into 16 sub-industries, with the highest net profit growth rates in 2024 being: optical modules (12.30 billion yuan, +113%), IoT (1.18 billion yuan, +69%), AI supply chain (43.59 billion yuan, +37%), and operators (180.41 billion yuan, +6%). Other sectors like optical fiber and cable, main equipment, and IDC showed declines [4]. Q1 2025 Sub-Industry Performance - In Q1 2025, the sub-industry net profit growth rates were led by Beidou navigation (128 million yuan, +193%), optical modules (4.50 billion yuan, +110%), and AI supply chain (12.82 billion yuan, +65%). The operators reported a net profit of 42.10 billion yuan, a year-on-year increase of 4% [5][6]. Top Companies by Net Profit - The top companies by net profit in Q1 2025 included China Mobile (30.63 billion yuan, +3%), China Telecom (8.86 billion yuan, +3%), and China Unicom (2.61 billion yuan, +7%). Notably, New Yi Sheng reported a significant increase of 385% in net profit [6][7][8]. Investment Recommendations - The communication sector still presents structural opportunities, particularly in operators like China Mobile, China Telecom, and China Unicom. Certain growth segments are expected to perform well, suggesting a focus on these areas for investment [8][9].

Investment Rating - The investment rating for the company is "Buy" and is maintained [9]. Core Views - In Q1 2025, the company reversed the trend of declining revenue, with government and enterprise business doubling year-on-year, leading to a quarter-on-quarter revenue increase. The company is focusing on growth driven by its second curve business, particularly in computing power and terminal sectors [2][6]. Summary by Sections Financial Performance - In Q1 2025, the company achieved revenue of 32.97 billion yuan, a year-on-year increase of 8% and a quarter-on-quarter increase of 5%. The net profit attributable to shareholders was 2.45 billion yuan, down 11% year-on-year, while the net profit excluding non-recurring items was 1.96 billion yuan, a decrease of 26%. The operating cash flow net amount was 1.85 billion yuan, down 38% year-on-year [6][12]. Business Growth - The company’s government and enterprise business saw a year-on-year doubling, contributing to the revenue growth. The second curve business revenue accounted for over 35% of total revenue, with government business making up over 20%. The company aims to deepen its investment in AI, leveraging opportunities in communication and computing infrastructure [12][12]. Margin and Cost Control - The overall gross margin for Q1 2025 was 34.27%, a decrease of 7.75 percentage points year-on-year, attributed to the rapid growth of low-margin government business. The net profit margin was 7.5%, down 1.6 percentage points year-on-year. The company maintained good cost control, with sales, management, R&D, and financial expense ratios at 7.0%, 2.9%, 18.0%, and -1.0% respectively [12][12]. Future Outlook - The company is expected to continue focusing on its second curve business, particularly in computing power and terminal sectors. Forecasted net profits for 2024-2026 are 8.73 billion yuan, 9.13 billion yuan, and 9.72 billion yuan, with corresponding year-on-year growth rates of 4%, 5%, and 7% [12][12].

证券代码（A/H）：000063/00763 证券简称(A/H)：中兴通讯 公告编号：202544 中兴通讯股份有限公司 关于按照《香港上市规则》公布 2025 年 4 月份证券变动月报表的公告 本公司及董事会全体成员保证信息披露的内容真实、准确和完整，没有虚假记载、误导 性陈述或重大遗漏。 中兴通讯股份有限公司根据《香港联合交易所有限公司证券上市规则》（简 称"《香港上市规则》"）规定，在香港联合交易所有限公司披露易网站 （www.hkexnews.hk）刊登了截至 2025 年 4 月 30 日的证券变动月报表。 根据《深圳证券交易所股票上市规则》关于境内外同步披露的要求，特将有 关公告同步披露如下，供参阅。 特此公告。 呈交日期: 2025年5月7日 I. 法定/註冊股本變動 | 1. 股份分類 | 普通股 | 股份類別 | H | | | 於香港聯交所上市 (註1) | 是 | | | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 證券代號 (如上市) | 00763 | 說明 | | | | | | | | | | 法定/註冊股份數目 ...

Core Insights - The industry is expected to experience accelerated development in AI inference driven by DeepSeek, with over a hundred intelligent computing integrated machines already in the market, although challenges in practical applications remain [2][6] - ZTE Corporation outlined its strategic plans in AI, focusing on infrastructure, enterprise business development, and the application of intelligent computing capabilities during the 2025 ZTE China Ecosystem Partner Conference [2] AI Market Growth - According to IDC, the global AI market is projected to exceed $800 billion by 2028, with a compound annual growth rate (CAGR) of over 32% over the next five years [2] - Domestic operators have indicated that computing power investments will maintain growth of over 20% by 2025, with leading internet companies expected to invest over 500 billion yuan in AI over the next three years, indicating significant growth potential for ICT infrastructure [2] ZTE's AI Strategy - ZTE's strategy in AI focuses on three main areas: infrastructure, edge deployment, and application innovation [4] - The company is advancing ICT infrastructure solutions through innovations in 5G-A, 6G, and optical network technologies, integrating heterogeneous computing power with large model technologies [4] - ZTE has introduced a series of intelligent computing servers and energy solutions, along with a self-developed unified cloud management platform for efficient scheduling of heterogeneous computing resources [4] Enterprise Business Development - ZTE's enterprise business, viewed as its "second curve," is driven by the dual forces of digital transformation across industries and domestic policies promoting localization [5] - The company aims for a nearly 60% year-on-year growth in its domestic enterprise business by 2024, with a projected doubling of revenue in the first quarter of 2025 [5] - ZTE is focusing on key sectors such as internet, finance, and energy, leveraging agile models to enhance its market presence [5] AI Application Demand - This year is considered a significant year for AI applications, with over a hundred intelligent computing integrated machines launched, driven by DeepSeek's deployment in various vertical industries [6] - DeepSeek has significantly lowered the barriers to AI application, allowing users to train models using intelligent computing integrated machines [6] - The demand for AI inference capabilities has surged, with DeepSeek's models being comparable to those released by OpenAI, indicating a rapid evolution in AI applications [6] Challenges in AI Implementation - Despite the growth, industry clients face challenges such as severe internet data pollution, difficulties in data sharing, and high costs of data collection [7] - ZTE has upgraded its digital cloud platform to address these challenges, enhancing data management and utilization through digital matrices and intelligent platforms [7] - The upgraded platform aims to bridge the "last mile" in AI implementation, ensuring that AI solutions are effectively integrated into business operations [7]

Group 1 - The rapid development of AI is increasingly emphasizing its application in home scenarios, expanding the market space from "network" to "network-computing-screen" [2] - The four key components of AI smart home products are AI home network, AI home computing, AI home smart screens, and AI home robots, which create a closed loop of "perception-computation-interaction-execution" [2] - The transition from single-point mechanical devices in the feature phone era to IoT-connected devices in the smart phone era, and now to AI-native devices that provide proactive services, marks a significant evolution in home technology [2] Group 2 - ZTE has launched the Wentiant series WiFi 7 routers, which support dual 2.5G ports and dual WAN functions, addressing the need for data processing capabilities in home computing products [3] - The current focus is on weak computing power products, with a strategy to handle local privacy computing issues through a cloud-based approach, offering a better experience at a lower cost [3] - The introduction of FTTR all-optical smart screens is part of ZTE's strategy to enhance home computing capabilities [3] Group 3 - ZTE has released a two-in-one cloud laptop and a 5G free screen, which leverage cloud computing to overcome the limitations of personal data and hardware devices [4] - The cloud computer market is rapidly growing, with a potential sales space of over 10 million units in China, redefining traditional computers by integrating cloud, network, AI, and terminal components [5] - The focus on cloud computing is expected to lead to a significant transformation in the PC industry, with the potential for low-cost sharing and high network support in home environments [5] Group 4 - ZTE is concentrating on the companionship and safety sectors within the AI home robot market, which is still in its early stages [5]

Core Viewpoint - The article discusses the development of a novel method for generating high-quality Chain of Thought (CoT) data, focusing on the adaptive difficulty grading of questions for large language models (LLMs) to enhance the reasoning capabilities of smaller models [2][6][41]. Group 1: Research Motivation and Challenges - The emergence of large models like DeepSeek-R1 (671 billion parameters) has highlighted the challenges of deploying such models in real-time systems and edge devices [6]. - There is a pressing need for research on smaller models with fewer than 7 billion parameters, particularly in complex reasoning tasks such as mathematical problem-solving and code generation [7]. - Current CoT data generation methods face challenges, including high computational and annotation costs associated with large-scale data-driven approaches and limited performance gains from high-quality sample-driven methods [8][9]. Group 2: Proposed Methodology - The article introduces a new method called "LLM Adaptive Question Difficulty Grading," which aims to improve the quality of CoT data by dynamically matching model capabilities with data difficulty [12][13]. - The method includes four key innovations: establishing a question difficulty grading system based on inherent model reasoning capabilities, creating an adaptive question bank, designing a difficulty distribution sampling strategy, and generating high-quality CoT data using DeepSeek-R1 [15][18]. Group 3: Experimental Results - The proposed method has shown significant improvements in reasoning performance across various model sizes, with accuracy increases ranging from 6.66% to 26.7% on the AIME24 mathematics competition dataset compared to traditional non-adaptive strategies [18][20]. - Detailed experimental results indicate that models trained with the adaptive CoT data outperform baseline models in multiple mathematical reasoning benchmarks, achieving up to 94.6% accuracy on MATH500 [37]. - The ZCode-32B model demonstrated superior performance across different difficulty levels, indicating that smaller models can achieve competitive results through adaptive data training [38]. Group 4: Conclusion and Future Work - The article concludes that the proposed framework for generating high-quality CoT data is efficient and effective, requiring only about 2,000 high-quality samples to significantly enhance model performance while reducing data and computational costs [41]. - Future work will focus on further integrating reinforcement learning to explore deeper reasoning capabilities and extending applications to more complex cross-domain tasks such as communication fault diagnosis [42].