Are we still friends: Kernel multivariate survival analysis. - Shiyu Liang; Ruotian Luo; Ge Chen; Songjun Ma; Weijie Wu; Li Song 001; Xiaohua Tian; Xinbing Wang (GLOBECOM, 2014)

Prioritization of potential candidate disease genes by topological similarity of protein-protein interaction network and phenotype data. - Jiawei Luo 001; Shiyu Liang (J. Biomed. Informatics, 2015)

Why Deep Neural Networks? - Shiyu Liang; R. Srikant 001 (CoRR, 2016)

Why Deep Neural Networks for Function Approximation? - Shiyu Liang; R. Srikant 001 (ICLR (Poster), 2017)

Principled Detection of Out-of-Distribution Examples in Neural Networks. - Shiyu Liang; Yixuan Li 001; R. Srikant 001 (CoRR, 2017)

Enhancing The Reliability of Out-of-distribution Image Detection in Neural Networks. - Shiyu Liang; Yixuan Li 001; R. Srikant 001 (ICLR (Poster), 2018)

Understanding the Loss Surface of Single-Layered Neural Networks for Binary Classification. - Shiyu Liang; Ruoyu Sun 001; Yixuan Li 001; R. Srikant 001 (ICLR (Workshop), 2018)

Understanding the Loss Surface of Neural Networks for Binary Classification. - Shiyu Liang; Ruoyu Sun 001; Yixuan Li 001; Rayadurgam Srikant (ICML, 2018)

Adding One Neuron Can Eliminate All Bad Local Minima. - Shiyu Liang; Ruoyu Sun 001; Jason D. Lee; R. Srikant 001 (NeurIPS, 2018)

B4 and after: managing hierarchy, partitioning, and asymmetry for availability and scale in google's software-defined WAN. - Chi-Yao Hong; Subhasree Mandal; Mohammad Al-Fares; Min Zhu; Richard Alimi; Kondapa Naidu Bollineni; Chandan Bhagat; Sourabh Jain; Jay Kaimal; Shiyu Liang; Kirill Mendelev; Steve Padgett; et al. (SIGCOMM, 2018)

FINE: A Framework for Distributed Learning on Incomplete Observations for Heterogeneous Crowdsensing Networks. - Luoyi Fu; Songjun Ma; Lingkun Kong; Shiyu Liang; Xinbing Wang (IEEE/ACM Trans. Netw., 2018)

The Role of Regularization in Overparameterized Neural Networks. - Siddhartha Satpathi; Harsh Gupta; Shiyu Liang; R. Srikant 001 (CDC, 2020)

The Global Landscape of Neural Networks: An Overview. - Ruoyu Sun 001; Dawei Li 010; Shiyu Liang; Tian Ding; Rayadurgam Srikant (IEEE Signal Process. Mag., 2020)

Achieving Small Test Error in Mildly Overparameterized Neural Networks. - Shiyu Liang; Ruoyu Sun 001; R. Srikant 001 (CoRR, 2021)

Revisiting Landscape Analysis in Deep Neural Networks: Eliminating Decreasing Paths to Infinity. - Shiyu Liang; Ruoyu Sun 001; R. Srikant 001 (SIAM J. Optim., 2022)

Cluster-Specific Dictionary Learning Based Active User Detection for mMTC With Massive MIMO. - Shiyu Liang; Wei Chen 016; Ning Wang 004; Bo Ai 001 (GLOBECOM, 2023)

DataExpo: A One-Stop Dataset Service for Open Science Research. - Bin Lu 005; Lyuwen Wu; Lina Yang; Chenxing Sun; Wei Liu; Xiaoying Gan; Shiyu Liang; Luoyi Fu; Xinbing Wang; Chenghu Zhou (WWW (Companion Volume), 2023)

Temporal Generalization Estimation in Evolving Graphs. - Bin Lu 005; Tingyan Ma; Xiaoying Gan; Xinbing Wang; Yunqiang Zhu; Chenghu Zhou; Shiyu Liang (ICLR, 2024)

Convolutional Deep Unfolding Network for Asynchronous Active User Detection and Channel Estimation. - Shiyu Liang; Wei Chen 016; Xiaofang Sun 001; Tianwei Hou; Jun Fang 001; Zhangdui Zhong; Bo Ai 001 (WCSP, 2024)

AceMap: Knowledge Discovery through Academic Graph. - Xinbing Wang; Luoyi Fu; Xiaoying Gan; Ying Wen 001; Guanjie Zheng; Jiaxin Ding 001; Liyao Xiang; Nanyang Ye 001; Meng Jin 002; Shiyu Liang; Bin Lu 005; Haiwen Wang; et al. (CoRR, 2024)

Scientific and technological knowledge grows linearly over time. - Huquan Kang; Luoyi Fu; Russell J. Funk; Xinbing Wang; Jiaxin Ding 001; Shiyu Liang; Jianghao Wang; Lei Zhou 016; Chenghu Zhou (CoRR, 2024)

Archilles' Heel in Semi-open LLMs: Hiding Bottom against Recovery Attacks. - Hanbo Huang; Yihan Li; Bowen Jiang; Lin Liu; Ruoyu Sun 001; Zhuotao Liu; Shiyu Liang (CoRR, 2024)

FlowerCast: Efficient Time-sensitive Multicast in Wireless Sensor Networks with Link Uncertainty. - Jianzhi Tang; Luoyi Fu; Shiyu Liang; Fei Long; Lei Zhou 016; Xinbing Wang; Chenghu Zhou (ACM Trans. Sens. Networks, 2024)

State of the Art in Efficient Translucent Material Rendering with BSSRDF. - Shiyu Liang; Yang Gao 032; Chonghao Hu; Peng Zhou; Aimin Hao; Lili Wang 006; Hong Qin 001 (Comput. Graph. Forum, 2024)

Hi-PART: Going Beyond Graph Pooling with Hierarchical Partition Tree for Graph-Level Representation Learning. - Yuyang Ren; Haonan Zhang; Luoyi Fu; Shiyu Liang; Lei Zhou 016; Xinbing Wang; Xinde Cao; Fei Long; Chenghu Zhou (ACM Trans. Knowl. Discov. Data, 2024)

Graph Out-of-Distribution Generalization With Controllable Data Augmentation. - Bin Lu 005; Ze Zhao; Xiaoying Gan; Shiyu Liang; Luoyi Fu; Xinbing Wang; Chenghu Zhou (IEEE Trans. Knowl. Data Eng., 2024)

Efficient Packaging Line Object Counting by Cross-Frame Association With Wavelet Convolutions and Trajectory Compensation. - Longxuan Wei; Yutao Zhu 008; Yufeng Li; Ming Qian; Xiang Zuo; Boan Chen; Shiyu Liang; Zhouhan Lin; Junchi Yan (IEEE Access, 2025)

Origin Tracer: A Method for Detecting LoRA Fine-Tuning Origins in LLMs. - Hongyu Liang; Yuting Zheng; Yihan Li; Yiran Zhang; Shiyu Liang (CoRR, 2025)

From Parameters to Prompts: Understanding and Mitigating the Factuality Gap between Fine-Tuned LLMs. - Xuan Gong; Hanbo Huang; Shiyu Liang (CoRR, 2025)

Saliency-Aware Foveated Path Tracing for Virtual Reality Rendering. - Yang Gao 032; Wencan Li; Shiyu Liang; Aimin Hao; Xiaohui Tan (IEEE Trans. Vis. Comput. Graph., 2025)

Efficient Photon Beam Diffusion for Directional Subsurface Scattering. - Shiyu Liang; Yang Gao 032; Chonghao Hu; Aimin Hao; Hong Qin 001 (IEEE Trans. Vis. Comput. Graph., 2025)