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45<div class="menu-item"><a href="index.html">Profile</a></div>
46<div class="menu-item"><a href="experience.html">Experience</a></div>
47<div class="menu-item"><a href="teaching.html">Teaching</a></div>
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56<h1>Publications</h1>
57<div id="subtitle">(* denotes correspondence) For the latest publications, please see my <a href="https://scholar.google.com/citations?user=aOecTJcAAAAJ&amp;hl=en" target=&ldquo;blank&rdquo;>Google Scholar Profile</a>.</div>
58</div>
59<h2>Submitted/Preprints:</h2>
60<ol>
61<li><p>F. Lin, Y. Hu, L. Zhu, Z. Liu, Y. Huang, <b>Z. Lin</b>*, and J. Zhang, “<a href="https://arxiv.org/abs/2603.15433" target=&ldquo;blank&rdquo;>Real-time human frontal view synthesis from a single image,</a>” <i>submitted</i>. <a href="https://arxiv.org/abs/2603.15433" target=&ldquo;blank&rdquo;><font color=orange>[arXiv]</font></a> <a href="https://github.com/rslinfy/PrismMirror" target=&ldquo;blank&rdquo;><font color=orange>[Code]</font></a></p>
62</li>
63<li><p>F. Lin, Y. Hu, Z. Liu, Y. Zhuang, <b>Z. Lin</b>*, and J. Zhang, “<a href="https://arxiv.org/abs/2601.07518" target=&ldquo;blank&rdquo;>Mon3tr: Monocular 3D telepresence with pre-built Gaussian avatars as amortization,</a>” <i>submitted</i>. <a href="https://arxiv.org/abs/2601.07518" target=&ldquo;blank&rdquo;><font color=orange>[arXiv]</font></a> <a href="https://mon3tr3d.github.io/" target=&ldquo;blank&rdquo;><font color=orange>[Project Page]</font></a></p>
64</li>
65<li><p>Z. Liu, R. Song, Y. Huang, Y. Hu, X. Zhang, J. Shao, <b>Z. Lin</b>*, and J. Zhang, “<a href="https://arxiv.org/abs/2512.00877" target=&ldquo;blank&rdquo;>Feed-forward 3D Gaussian splatting compression with long-context modeling,</a>” <i>submitted</i>. <a href="https://arxiv.org/abs/2512.00877" target=&ldquo;blank&rdquo;><font color=orange>[arXiv]</font></a></p>
66</li>
67<li><p>W. Sun, T. Li, <b>Z. Lin</b>, and J. Zhang, “<a href="https://arxiv.org/abs/2401.16157" target=&ldquo;blank&rdquo;>Spatial-aware latent initialization for controllable image generation,</a>” <i>submitted</i>. <a href="https://arxiv.org/abs/2401.16157" target=&ldquo;blank&rdquo;><font color=orange>[arXiv]</font></a></p>
68</li>
69</ol>
70<h2>Journal Articles</h2>
71<ol>
72<li><p>Y. Zhuang, Z. Meng, <b>Z. Lin</b>*, and J. Zhang, “<a href="https://ieeexplore.ieee.org/document/11626508/" target=&ldquo;blank&rdquo;>OCC: Physical-layer assisted congestion control for real-time communications,</a>” to
73appear in <i>IEEE Transactions on Mobile Computing (TMC)</i>. <a href="https://arxiv.org/abs/2604.22383" target=&ldquo;blank&rdquo;><font color=orange>[arXiv]</font></a> </p>
74</li>
75<li><p>C. Wen, J. Tong, <b>Z. Lin</b>, C. Bian, and J. Zhang, “<a href="https://www.nature.com/articles/s44459-026-00067-6" target=&ldquo;blank&rdquo;>Bridging visual and wireless sensing: A unified radiation field for 3D radio map construction,</a>” <i>npj Wireless Technology</i>, vol. 2, August 2026. <a href="https://arxiv.org/abs/2601.19216" target=&ldquo;blank&rdquo;><font color=orange>[arXiv]</font></a> <a href="https://github.com/wenchaozheng/URF-GS" target=&ldquo;blank&rdquo;><font color=orange>[Code]</font></a></p>
76</li>
77<li><p>Z. Liu, Y. Hu, X. Zhang, J. Shao, <b>Z. Lin</b>*, and J. Zhang, “<a href="https://ieeexplore.ieee.org/document/11498711/" target=&ldquo;blank&rdquo;>Dynamics-aware Gaussian splatting streaming towards fast on-the-fly training for 4D reconstruction,</a>” <i>IEEE Transactions on Visualization and Computer Graphics (TVCG)</i>, vol. 32, no. 7, pp. 6810-6824, July 2026. <a href="https://arxiv.org/abs/2411.14847" target=&ldquo;blank&rdquo;><font color=orange>[arXiv]</font></a><a href="https://github.com/LIUZhening111/DASS" target=&ldquo;blank&rdquo;><font color=orange>[Code]</font></a><a href="https://www.liuzhening.top/DASS" target=&ldquo;blank&rdquo;><font color=orange>[Project Page]</font></a><a href="https://www.youtube.com/watch?v=4ZUTpI6WRdQ&amp;t=7s&amp;ab_channel=ZheningLiu" target=&ldquo;blank&rdquo;><font color=orange>[Video]</font></a></p>
78</li>
79<li><p>J. Shao, Z. Li, W. Sun, T. Zhou, Y. Sun, L. Liu, <b>Z. Lin</b>, Y. Mao, and J. Zhang, “<a href="https://dl.acm.org/doi/10.1145/3844940" target=&ldquo;blank&rdquo;>A survey of what to share in federated learning: Perspectives on model utility, privacy leakage, and communication efficie
79ncy,</a>” to appear in <i>ACM Computing Surveys</i>. <a href="https://arxiv.org/abs/2307.10655" target=&ldquo;blank&rdquo;><font color=orange>[arXiv]</font></a><a href="https://mp.weixin.qq.com/s/0A8p_eBsE_e-vhbc7t6SGg" target=&ldquo;blank&rdquo;><font color=orange>[Wechat Official Accounts Article (Chinese)]</font></a></p>
80</li>
81<li><p>C. Wen, J. Tong, Y. Hu, <b>Z. Lin</b>*, and J. Zhang, “<a href="https://ieeexplore.ieee.org/document/11258087" target=&ldquo;blank&rdquo;>Neural representation for wireless radiation field reconstruction: A 3D Gaussian splatting approach,</a>” <i>IEEE Transactions on Wireless Communications (TWC)</i>, vol. 25, pp. 7490-7504, 2026. <a href="https://arxiv.org/abs/2412.04832v4" target=&ldquo;blank&rdquo;><font color=orange>[arXiv]</font></a> <a href="https://github.com/wenchaozheng/WRF-GSplus" target=&ldquo;blank&rdquo;><font color=orange>[Code]</font></a> <a href="https://mp.weixin.qq.com/s/_YFbKuaQnkXvUUF1SCKZlg" target=&ldquo;blank&rdquo;><font color=orange>[Wechat Official Accounts Article (Chinese)]</font></a></p>
82</li>
83<li><p>J. Tong, J. Shao, Q. Wu, W. Guo, Z. Li, <b>Z. Lin</b>, and J. Zhang, “<a href="https://ieeexplore.ieee.org/abstract/document/11503159" target=&ldquo;blank&rdquo;>WirelessAgent: Large language model agents for intelligent wireless networks,</a>” <i>China Communications</i>, vol. 23, no. 3, pp. 265-285, Mar. 2026. <a href="https://arxiv.org/abs/2505.01074" target=&ldquo;blank&rdquo;><font color=orange>[arXiv]</font></a> <a href="https://github.com/jwentong/WirelessAgent_R1" target=&ldquo;blank&rdquo;><font color=orange>[Code]</font></a> <a href="https://www.youtube.com/watch?v=4fqADkT_XMc" target=&ldquo;blank&rdquo;><font color=orange>[Video]</font></a> <a href="https://mp.weixin.qq.com/s/sLpk25qz_KXI0JsfqL64xQ" target=&ldquo;blank&rdquo;><font color=orange>[Wechat Official Accounts Article  (Chinese)]</font></a></p>
84</li>
85<li><p>T. Zhou, <b>Z. Lin</b>*, J. Zhang, and D. Tsang, “<a href="https://ieeexplore.ieee.org/document/10540229" target=&ldquo;blank&rdquo;>Understanding and improving model averaging in federated learning on heterogeneous data,</a>” <i>IEEE Transactions on Mobile Computing (TMC)</i>, vol. 23, no. 12, pp. 12131-12145, Dec. 2024. <a href="https://arxiv.org/abs/2305.07845" target=&ldquo;blank&rdquo;><font color=orange>[arXiv]</font></a><a href="https://github.com/TailinZhou/FedIMA" target=&ldquo;blank&rdquo;><font color=orange>[Code]</font></a><a href="https://mp.weixin.qq.com/s/hVdz97zPDoM1E3EM4jS32w" target=&ldquo;blank&rdquo;><font color=orange>[Wechat Official Accounts Article  (Chinese)]</font></a></p>
86</li>
87<li><p>Z. Li, <b>Z. Lin</b>*, J. Shao, Y. Mao, and J. Zhang, “<a href="https://ieeexplore.ieee.org/document/10472115" target=&ldquo;blank&rdquo;>FedCiR: Client-invariant representation learning for federated non-IID features,</a>” <i>IEEE Transactions on Mobile Computing (TMC)</i>, vol. 23, no. 11, pp. 10509-10522, Nov. 2024. <a href="https://arxiv.org/abs/2308.15786" target=&ldquo;blank&rdquo;><font color=orange>[arXiv]</font></a></p>
88</li>
89<li><p>Y. Shen, J. Shao, X. Zhang, <b>Z. Lin</b>, H. Pan, D. Li, J. Zhang, and K. B. Letaief, “<a href="https://ieeexplore.ieee.org/document/10384606" target=&ldquo;blank&rdquo;>Large language models empowered autonomous edge AI for connected intelligence,</a>” <i>IEEE Communications Magazine</i>, vol. 62, no. 10, pp. 140-146, Oct. 2024. <b>(ESI Highly Cited Paper)</b> <a href="https://arxiv.org/abs/2307.02779" target=&ldquo;blank&rdquo;><font color=orange>[arXiv]</font></a><a href="https://mp.weixin.qq.com/s/r6uoiicr0fqQ1S9zlhB4wg" target=&ldquo;blank&rdquo;><font color=orange>[Wechat Official Accounts Article  (Chinese)]</font></a></p>
90</li>
91<li><p>Y. Sun, <b>Z. Lin</b>*, Y. Mao, S. Jin, and J. Zhang, “<a href="https://ieeexplore.ieee.org/document/10341307" target=&ldquo;blank&rdquo;>Channel and gradient-importance aware device scheduling for over-the-air federated learning,</a>” <i>IEEE Transactions on Wireless Communications (TWC)</i>, vol. 23, no. 7, pp. 6905-6920, Jul. 2024. <a href="https://arxiv.org/abs/2305.16854" target=&ldquo;blank&rdquo;><font color=orange>[arXiv]</font></a></p>
92</li>
93<li><p>J. Shao, J. Tong, Q. Wu, W. Guo, Z. Li, <b>Z. Lin</b>, and J. Zhang, “<a href="https://ieeexplore.ieee.org/document/10582827" target=&ldquo;blank&rdquo;>WirelessLLM: Empowering large language models towards wireless intelligence,</a>” <i>Journal of Communications and Information Networks</i>, vol. 9, no. 2, pp. 99-112, Jun. 2024. <b>(Cover Paper)</b> <a href="https://arxiv.org/abs/2405.17053" target=&ldquo;blank&rdquo;><font color=orange>[arXiv]</font></a><a href="https://mp.weixin.qq.com/s/0UAyRziRl2gOI6uCokUEng" target=&ldquo;blank&rdquo;><font color=orange>[Video]</font></a><a href="https://mp.weixin.qq.com/s/-qL3kDFQlvOPAvwIySgTAQ" target=&ldquo;blank&rdquo;><font color=orange>[Wechat Official Accounts Article  (Chinese)]</font></a></p>
94</li>
95<li><p><b>Z. Lin</b>, H. Liu, and Y.-J. A. Zhang, “<a href="https://ieeexplore.ieee.org/document/10092475" target=&ldquo;blank&rdquo;>CFLIT: Coexisting federated learning and information transfer,</
95a>” <i>IEEE Transactions on Wireless Communications (TWC)</i>, vol. 22, no. 11, pp. 8436–8453, Nov. 2023. <a href="https://arxiv.org/abs/2207.12884" target=&ldquo;blank&rdquo;><font color=orange>[arXiv]</font></a></p>
96</li>
97<li><p>H. Liu, <b>Z. Lin</b>, X. Yuan, and Y.-J. A. Zhang, “<a href="https://ieeexplore.ieee.org/abstract/document/9903384" target=&ldquo;blank&rdquo;>Reconfigurable intelligent surface empowered over-the-air federated edge learning,</a>” <i>IEEE Wireless  Communications</i>, vol. 30, no. 6, pp. 111-118, Dec. 2023. <a href="https://arxiv.org/abs/2109.02353" target=&ldquo;blank&rdquo;><font color=orange>[arXiv]</font></a></p>
98</li>
99<li><p><b>Z. Lin</b>, H. Liu, and Y.-J. A. Zhang, “<a href="https://ieeexplore.ieee.org/abstract/document/9730788" target=&ldquo;blank&rdquo;>Relay-assisted cooperative federated learning,</a>” <i>IEEE Transactions on Wireless Communications (TWC)</i>, vol. 21, no. 9, pp. 7148–7164, Sept. 2022. <a href="https://arxiv.org/abs/2107.09518" target=&ldquo;blank&rdquo;><font color=orange>[arXiv]</font></a> <a href="https://github.com/zhlinup/Relay-FL" target=&ldquo;blank&rdquo;><font color=orange>[Code]</font></a></p>
100</li>
101<li><p><b>Z. Lin</b>, S. Bi, and Y.-J. A. Zhang, “<a href="https://ieeexplore.ieee.org/abstract/document/9442308" target=&ldquo;blank&rdquo;>Optimizing AI service placement and resource allocation in mobile edge intelligence systems,</a>” <i>IEEE Transactions on Wireless Communications (TWC)</i>, vol. 20, no. 11, pp. 7257-7271, Nov. 2021. <a href="https://arxiv.org/abs/2011.05708" target=&ldquo;blank&rdquo;><font color=orange>[arXiv]</font></a></p>
102</li>
103<li><p><b>Z. Lin</b> and Y. Liu, “<a href="https://ieeexplore.ieee.org/abstract/document/8744363" target=&ldquo;blank&rdquo;>Joint uplink and downlink transmissions in user-centric OFDMA cloud-RAN,</a>” <i>IEEE Transactions on Vehicular Technology (TVT)</i>, vol. 68, no. 8, pp. 7776-7788, Aug. 2019. <a href="https://arxiv.org/abs/1906.08490" target=&ldquo;blank&rdquo;><font color=orange>[arXiv]</font></a></p>
104</li>
105</ol>
106<h2>Conference Papers</h2>
107<ol>
108<li><p>Y. Hu, Y. He, Y. Jiang, <b>Z. Lin</b>, S. Hoi, and J. Zhang, “<a href="https://arxiv.org/abs/2607.20922" target=&ldquo;blank&rdquo;>FA-LAM: Focus-aware large avatar model for one-shot 4D animatable Gaussian head,</a>” <i>The Fortieth Annual Conference on Neural Information Processing Systems (NeurIPS 2026)</i>. <a href="https://arxiv.org/abs/2607.20922" target=&ldquo;blank&rdquo;><font color=orange>[arXiv]</font></a></p>
109</li>
110<li><p>H. Chen, F. Lin, R. Zhang, L. Zhu, W. Chen, Z. Hu, K. Luo, X. Wang, <b>Z. Lin</b>
110, and J. Zhang, “LUMEN: Spatially-grounded illumination estimation via position-conditioned diffusion model,” <i>SIGGRAPH Asia</i>, Kuala Lumpur, Malaysia, Dec. 2026.</p>
111</li>
112<li><p>R. Song, G.-H. Wang, Q.-G. Chen, W. Luo, T. Xu, Z. Liu, Y. Wang, <b>Z. Lin</b>, and J. Zhang, “<a href="https://arxiv.org/abs/2604.04487" target=&ldquo;blank&rdquo;>Training-free image editing with visual context integration and concept alignment,</a>” <i>ACM Multimedia</i>, Rio de Janeiro, Brazil, Nov. 2026. <a href="https://arxiv.org/abs/2604.04487" target=&ldquo;blank&rdquo;><font color=orange>[arXiv]</font></a> </p>
113</li>
114<li><p>Y. Hu, Y. He, J. Chen, W. Yuan, K. Qiu, <b>Z. Lin</b>, S. Zhu, Z. Dong, and J. Zhang, “<a href="https://arxiv.org/abs/2509.24209" target=&ldquo;blank&rdquo;>Forge4D: Feed-forward 4D human reconstruction and interpolation from uncalibrated sparse-view videos,</a>” <i>European Conference on Computer Vision (ECCV)</i>, Malmö, Sweden, Sept. 2026. <a href="https://arxiv.org/abs/2509.24209" target=&ldquo;blank&rdquo;><font color=orange>[arXiv]</font></a><a href="https://github.com/zhenliuZJU/Forge4D" target=&ldquo;blank&rdquo;><font color=orange>[Code]</font></a><a href="https://zhenliuzju.github.io/huyingdong/Forge4D/" target=&ldquo;blank&rdquo;><font color=orange>[Project Page]</font></a><a href="https://www.bilibili.com/video/BV1uFn1zCExG/?spm_id_from=333.337.search-card.all.click&amp;vd_source=fcc9cabdf9639fb805bc783b5f316157" target=&ldquo;blank&rdquo;><font color=orange>[Video]</font></a></p>
115</li>
116<li><p>L. Zhu, Y. Huang, X. Ge, Y. Xue, Z. Liu, Y. Zhang, <b>Z. Lin</b>, and J. Zhang, “<a href="https://openreview.net/forum?id=PDBLtVDb0d" target=&ldquo;blank&rdquo;>Flash-VAED: Plug-and-play VAE decoders for efficient video generation,</a>” <i>International Conference on Machine Learning (ICML)</i>, Seoul, South Korea, July 2026. <a href="https://arxiv.org/abs/2602.19161" target=&ldquo;blank&rdquo;><font color=orange>[arXiv]</font></a> <a href="https://github.com/Aoko955/Flash-VAED" target=&ldquo;blank&rdquo;><font color=orange>[Code]</font></a></p>
117</li>
118<li><p>Y. Li, Z. Liu, Z. Li, <b>Z. Lin</b>*, and J. Zhang, “<a href="https://cvpr.thecvf.com/virtual/2026/poster/37630" target=&ldquo;blank&rdquo;>RemedyGS: Defend 3D Gaussian splatting against computation cost attacks,</a>” <i>IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)</i>, Denver, Colorado, USA, June 2026. <a href="https://arxiv.org/abs/2511.22147" target=&ldquo;blank&rdquo;><font color=orange>[arXiv]</font></a> <a href="https://github.com/Polly-LYP/RemedyGS" target=&ldquo;blank&rdquo;><font color=orange>[Code]</font></a></p>
119</li>
120<li><p>Y. Li, Z. Liu, Z. Li, <b>Z. Lin</b>*, and J. Zhang, “<a href="https://openreview.net/forum?id=k7ytptAaDN" target=&ldquo;blank&rdquo;>Token-level data selection for safe LLM fine-tuning,</a>” <i>International Conference on Learning Representations (ICLR)</i>, Rio de Janeiro, Brazil, April 2026. <a href="https://openreview.net/forum?id=k7ytptAaDN" target=&ldquo;blank&rdquo;><font color=orange>[Paper]</font></a> <a href="https://arxiv.org/abs/2603.01185" target=&ldquo;blank&rdquo;><font color=orange>[arXiv]</font></a> <a href="https://github.com/Polly-LYP/TOSS" target=&ldquo;blank&rdquo;><font color=orange>[Code]</font></a></p>
121</li>
122<li><p>R. Song, Y. Wang, T. Xu, Z. Liu, <b>Z. Lin</b>*, and J. Zhang, “<a href="https://openreview.net/forum?id=y1REtB4olw" target=&ldquo;blank&rdquo;>Low-latency neural LiDAR compression with 2D context models,</a>” <i>International Conference on Learning Representations (ICLR)</i>, Rio de Janeiro, Brazil, April 2026. <a href="https://openreview.net/forum?id=y1REtB4olw" target=&ldquo;blank&rdquo;><font color=orange>[Paper]</font></a> <a href="https://github.com/rrui-song/RangeCM" target=&ldquo;blank&rdquo;><font color=orange>[Code]</font></a></p>
123</li>
124<li><p>
124J. Bao, H. Chen, L. Zhu, C. Liu, R. Zhang, K. Luo, Z. Hu, W. Chen, Y. Yin, X. Wang, <b>Z. Lin</b>*, J. Zhang, and X. Han, “<a href="https://openreview.net/forum?id=CDwG0Bebfo" target=&ldquo;blank&rdquo;>LumiTex: Towards high-fidelity PBR texture generation with illumination context,</a>” <i>International Conference on Learning Representations (ICLR)</i>, Rio de Janeiro, Brazil, April 2026. <a href="https://arxiv.org/abs/2511.19437" target=&ldquo;blank&rdquo;><font color=orange>[arXiv]</font></a><a href="https://github.com/LumiTexPBR/LumiTex/" target=&ldquo;blank&rdquo;><font color=orange>[Code]</font></a><a href="https://lumitex.vercel.app/" target=&ldquo;blank&rdquo;><font color=orange>[Project Page]</font></a></p>
125</li>
126<li><p>Y. Hu, Z. Liu, J. Shao, <b>Z. Lin</b>*, and J. Zhang, “<a href="https://arxiv.org/abs/2410.01425" target=&ldquo;blank&rdquo;>EVA-Gaussian: 3D Gaussian-based real-time human novel view synthesis under diverse camera settings,</a>” <i>International Workshop on End-to-End 3D Learning (E2E3D) in Conjunction with ICCV 2025</i>, Honolulu, Hawaii, USA, October 2025. <a href="https://arxiv.org/abs/2410.01425" target=&ldquo;blank&rdquo;><font color=orange>[arXiv]</font></a><a href="https://github.com/zhenliuZJU/EVA-Gaussian" target=&ldquo;blank&rdquo;><font color=orange>[Code]</font></a><a href="https://zhenliuzju.github.io/huyingdong/EVA-Gaussian" target=&ldquo;blank&rdquo;><font color=orange>[Project Page]</font></a></p>
127</li>
128<li><p>X. Zhang, Z. Liu, Y. Zhang, X. Ge, D. He, T. Xu, Y. Wang, <b>Z. Lin</b>, S. Yan, and J. Zhang, “<a href="https://arxiv.org/abs/2410.13613" target=&ldquo;blank&rdquo;>MEGA: Memory-efficient 4D Gaussian splatting for dynamic scenes,</a>” <i>IEEE/CVF International Conference on Computer Vision (ICCV)</i>, Honolulu, Hawaii, USA, October 2025. <b>(Highlight)</b> <a href="https://arxiv.org/abs/2410.13613" target=&ldquo;blank&rdquo;><font color=orange>[arXiv]</font></a><a href="https://github.com/Xinjie-Q/MEGA" target=&ldquo;blank&rdquo;><font color=orange>[Code]</font></a><a href="https://xinjie-q.github.io/MEGA" target=&ldquo;blank&rdquo;><font color=orange>[Project Page]</font></a></p>
129</li>
130<li><p>H. Chen, <b>Z. Lin</b>*, and J. Zhang, “<a href="https://openreview.net/forum?id=hJIEtJlvhL" target=&ldquo;blank&rdquo;>GI-GS: Global illumination decomposition on Gaussian splatting for inverse rendering,</a>” <i>International Conference on Learning Representations (ICLR)</i>, Singapore, April 2025. <a href="https://arxiv.org/abs/2410.02619" target=&ldquo;blank&rdquo;><font color=orange>[arXiv]</font></a><a href="https://github.com/stopaimme/GI-GS" target=&ldquo;blank&rdquo;><font color=orange>[Code]</font></a><a href="https://stopaimme.github.io/GI-GS-site/" target=&ldquo;blank&rdquo;><font color=orange>[Project Page]</font></a> <a href="https://mp.weixin.qq.com/s/zm349dfIBLMb8s_swbXFig" target=&ldquo;blank&rdquo;><font color=orange>[Wechat Official Accounts Article (Chinese)]</font></a> </p>
131</li>
132<li><p>C. Wen, J. Tong, Y. Hu, <b>Z. Lin</b>*, and J. Zhang, “<a href="https://ieeexplore.ieee.org/document/11044513" target=&ldquo;blank&rdquo;>WRF-GS: Wireless radiation field reconstruction with 3D Gaussian splatting,</a>” <i>IEEE International Conference on Computer Communications (INFOCOM)</i>, London, United Kingdom, May 2025. <a href="https://arxiv.org/abs/2412.04832v2" target=&ldquo;blank&rdquo;><font color=orange>[arXiv]</font></a> <a href="https://github.com/wenchaozheng/WRF-GS" target=&ldquo;blank&rdquo;><font color=orange>[Code]</font></a> <a href="https://mp.weixin.qq.com/s/LbD8T6PTi8yHrgfqsJy7Cg" target=&ldquo;blank&rdquo;><font color=orange>[Wechat Official Accounts Article (Chinese)]</font></a> </p>
133</li>
134<li><p>Z. Liu, X. Zhang, J. Shao, <b>Z. Lin</b>*, and J. Zhang, “<a href="https://arxiv.org/abs/2407.10632" target=&ldquo;blank&rdquo;>Bidirectional stereo image compression with cross-dimensional entropy model,</a>” <i>European Conference on Computer Vision (ECCV)</i>, Milano, Italy, Sept.-Oct. 2024. <a href="https://arxiv.org/abs/2407.10632" target=&ldquo;blank&rdquo;><font color=orange>[arXiv]</font></a> <a href="https://github.com/LIUZhening111/BiSIC" target=&ldquo;blank&rdquo;><font color=orange>[Code]</font></a> <a href="https://www.youtube.com/watch?v=8ZOZNYO_iSE&amp;t=18s&amp;ab_channel=ZheningLiu" target=&ldquo;blank&rdquo;><font color=orange>[Video]</font></a><a href="https://mp.weixin.qq.com/s/Csw5FVfJgpB9otLDO-xeLw" target=&ldquo;blank&rdquo;><font color=orange>[Wechat Official Accounts Article (Chinese)]</font></a> </p>
135</li>
136<li><p>Y. Sun, <b>Z. Lin</b>*, Y. Mao, S. Jin, and J. Zhang, <a href="https://ieeexplore.ieee.org/document/10419829/" target=&ldquo;blank&rdquo;>“Probabilistic scheduling for over-the-air federated learning,</a>” <i>IEEE International Conference on Communication Technology (ICCT)</i>, Wuxi, China, Oct. 2023.</p>
137</li>
138<li><p><b>Z. Lin</b>, H. Liu, and Y.-J. A. Zhang, “<a href="https://ieeexplore.ieee.org/abstract/document/9682161" target=&ldquo;blank&rdquo;>Relay-assisted over-the-air federated learning,</a>” <i>IEEE Global Communications Conference Workshops (GLOBECOM Wkshps)</i>, Madrid, Spain, Dec. 2021.</p>
139</li>
140<li><p><b>Z. Lin</b>, S. Bi, and Y.-J. A. Zhang, “<a href="https://ieeexplore.ieee.org/abstract/document/9348232" target=&ldquo;blank&rdquo;>Optimizing AI service placement and computation offloading in mobile edge intelligence systems,</a>” <i>IEEE Global Communications Conference (GLOBECOM)</i>, Taipei, Taiwan, Dec. 2020.</p>
141</li>
142<li><p><b>Z. Lin</b> and Y. Liu, “<a href="https://ieeexplore.ieee.org/abstract/document/8744363" target=&ldquo;blank&rdquo;>Joint uplink-downlink resource allocation in OFDMA cloud radio access networks,</a>” <i> IEEE International Conference on Communications (ICC)</i>, Kansas City, MO, USA, May 2018.</p>
143</li>
144<li><p><b>Z. Lin</b> and Y. Liu, “<a href="https://ieeexplore.ieee.org/abstract/document/8254716" target=&ldquo;blank&rdquo;>User-centric OFDMA cloud radio access networks with fronthaul capacity constraints,</a>” <i>IEEE Global Communications Conference (GLOBECOM)</i>, Singapore, Dec. 2017.</p>
145</li>
146</ol>
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