Shiyu Liang

According to our database, Shiyu Liang authored at least 43 papers between 2014 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

Deep-Saliency Foveated Ray Tracing For Real-time VR Rendering.

Yang Gao, Wencan Li, Shiyu Liang, Weizichuan Feng, Qing Xia, Shuai Li, Aimin Hao

IEEE Trans. Vis. Comput. Graph., May, 2026

GGBound: A Genome-Grounded Agent for Microbial Life-Boundary Prediction.

Hanbo Huang, Xuan Gong, Jing Wang, Lei Bai, Xiang Xiao, Weishu Zhao, Shiyu Liang

CoRR, May, 2026

Reflection Anchors for Propagation-Aware Visual Retention in Long-Chain Multimodal Reasoning.

Xuan Gong, Hanbo Huang, Hao Zheng, Yiran Zhang, Wenbin Dai, Weishu Zhao, Shiyu Liang

CoRR, May, 2026

RLSpoofer: A Lightweight Evaluator for LLM Watermark Spoofing Resilience.

Hanbo Huang, Xuan Gong, Yiran Zhang, Hao Zheng, Shiyu Liang

CoRR, April, 2026

VCORE: Variance-Controlled Optimization-based Reweighting for Chain-of-Thought Supervision.

Xuan Gong, Senmiao Wang, Hanbo Huang, Ruoyu Sun, Shiyu Liang

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

2025

AI-agent communication network for 6G: vision, architecture, and key technologies.

Xiaodong Duan, Zhenglei Huang, Shiyu Liang, Shaowen Zheng, Lu Lu, Tao Sun

Frontiers Inf. Technol. Electron. Eng., November, 2025

RL-100: Performant Robotic Manipulation with Real-World Reinforcement Learning.

Kun Lei, Huanyu Li, Dongjie Yu, Zhenyu Wei, Lingxiao Guo, Zhennan Jiang, Ziyu Wang, Shiyu Liang, Huazhe Xu

CoRR, October, 2025

Efficient Photon Beam Diffusion for Directional Subsurface Scattering.

Shiyu Liang, Yang Gao, Chonghao Hu, Aimin Hao, Hong Qin

IEEE Trans. Vis. Comput. Graph., September, 2025

RLCracker: Exposing the Vulnerability of LLM Watermarks with Adaptive RL Attacks.

Hanbo Huang, Yiran Zhang, Hao Zheng, Xuan Gong, Yihan Li, Lin Liu, Shiyu Liang

CoRR, September, 2025

Saliency-Aware Foveated Path Tracing for Virtual Reality Rendering.

Yang Gao, Wencan Li, Shiyu Liang, Aimin Hao, Xiaohui Tan

IEEE Trans. Vis. Comput. Graph., May, 2025

From Parameters to Prompts: Understanding and Mitigating the Factuality Gap between Fine-Tuned LLMs.

Xuan Gong, Hanbo Huang, Shiyu Liang

CoRR, May, 2025

Origin Tracer: A Method for Detecting LoRA Fine-Tuning Origins in LLMs.

Hongyu Liang, Yuting Zheng, Yihan Li, Yiran Zhang, Shiyu Liang

CoRR, May, 2025

Efficient Packaging Line Object Counting by Cross-Frame Association With Wavelet Convolutions and Trajectory Compensation.

Longxuan Wei, Yutao Zhu, Yufeng Li, Ming Qian, Xiang Zuo, Boan Chen, Shiyu Liang, Zhouhan Lin, Junchi Yan

IEEE Access, 2025

CertTA: Certified Robustness Made Practical for Learning-Based Traffic Analysis.

Jinzhu Yan, Zhuotao Liu, Yuyang Xie, Shiyu Liang, Lin Liu, Ke Xu

Proceedings of the 34th USENIX Security Symposium, 2025

$\text{CO}_{2}$-Net: A Physics-Informed Spatio-Temporal Model for Global Surface $\text{CO}_{{2}}$ Reconstruction.

Hao Zheng, Yuting Zheng, Hanbo Huang, Chaofan Sun, Enhui Liao, Lin Liu, Yi Han, Hao Zhou, Shiyu Liang

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

A Middle Path for On-Premises LLM Deployment: Preserving Privacy Without Sacrificing Model Confidentiality.

Hanbo Huang, Yihan Li, Bowen Jiang, Bo Jiang, Lin Liu, Zhuotao Liu, Ruoyu Sun, Shiyu Liang

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

MM4flow: A Pre-trained Multi-modal Model for Versatile Network Traffic Analysis.

Luming Yang, Lin Liu, Junjie Huang, Zhuotao Liu, Shiyu Liang, Shaojing Fu, Yongjun Wang

Proceedings of the 2025 ACM SIGSAC Conference on Computer and Communications Security, 2025

2024

Graph Out-of-Distribution Generalization With Controllable Data Augmentation.

Bin Lu, Ze Zhao, Xiaoying Gan, Shiyu Liang, Luoyi Fu, Xinbing Wang, Chenghu Zhou

IEEE Trans. Knowl. Data Eng., November, 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, Xinbing Wang, Xinde Cao, Fei Long, Chenghu Zhou

ACM Trans. Knowl. Discov. Data, May, 2024

State of the Art in Efficient Translucent Material Rendering with BSSRDF.

Shiyu Liang, Yang Gao, Chonghao Hu, Peng Zhou, Aimin Hao, Lili Wang, Hong Qin

Comput. Graph. Forum, February, 2024

FlowerCast: Efficient Time-sensitive Multicast in Wireless Sensor Networks with Link Uncertainty.

Jianzhi Tang, Luoyi Fu, Shiyu Liang, Fei Long, Lei Zhou, Xinbing Wang, Chenghu Zhou

ACM Trans. Sens. Networks, January, 2024

Archilles' Heel in Semi-open LLMs: Hiding Bottom against Recovery Attacks.

Hanbo Huang, Yihan Li, Bowen Jiang, Lin Liu, Ruoyu Sun, Zhuotao Liu, Shiyu Liang

CoRR, 2024

Scientific and technological knowledge grows linearly over time.

Huquan Kang, Luoyi Fu, Russell J. Funk, Xinbing Wang, Jiaxin Ding, Shiyu Liang, Jianghao Wang, Lei Zhou, Chenghu Zhou

CoRR, 2024

AceMap: Knowledge Discovery through Academic Graph.

Xinbing Wang, Luoyi Fu, Xiaoying Gan, Ying Wen, Guanjie Zheng, Jiaxin Ding, Liyao Xiang, Nanyang Ye, Meng Jin, Shiyu Liang, Bin Lu, Haiwen Wang, Yi Xu, Cheng Deng, Shao Zhang, Huquan Kang, Xingli Wang, Qi Li, Zhixin Guo, Jiexing Qi, Pan Liu, Yuyang Ren, Lyuwen Wu, Jungang Yang, Jianping Zhou, Chenghu Zhou

CoRR, 2024

Convolutional Deep Unfolding Network for Asynchronous Active User Detection and Channel Estimation.

Shiyu Liang, Wei Chen, Xiaofang Sun, Tianwei Hou, Jun Fang, Zhangdui Zhong, Bo Ai

Proceedings of the 16th International Conference on Wireless Communications and Signal Processing, 2024

Temporal Generalization Estimation in Evolving Graphs.

Bin Lu, Tingyan Ma, Xiaoying Gan, Xinbing Wang, Yunqiang Zhu, Chenghu Zhou, Shiyu Liang

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

DataExpo: A One-Stop Dataset Service for Open Science Research.

Bin Lu, Lyuwen Wu, Lina Yang, Chenxing Sun, Wei Liu, Xiaoying Gan, Shiyu Liang, Luoyi Fu, Xinbing Wang, Chenghu Zhou

Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023

Cluster-Specific Dictionary Learning Based Active User Detection for mMTC With Massive MIMO.

Shiyu Liang, Wei Chen, Ning Wang, Bo Ai

Proceedings of the IEEE Global Communications Conference, 2023

2022

Revisiting Landscape Analysis in Deep Neural Networks: Eliminating Decreasing Paths to Infinity.

Shiyu Liang, Ruoyu Sun, R. Srikant

SIAM J. Optim., December, 2022

2021

Achieving Small Test Error in Mildly Overparameterized Neural Networks.

Shiyu Liang, Ruoyu Sun, R. Srikant

CoRR, 2021

2020

The Global Landscape of Neural Networks: An Overview.

Ruoyu Sun, Dawei Li, Shiyu Liang, Tian Ding, Rayadurgam Srikant

IEEE Signal Process. Mag., 2020

The Role of Regularization in Overparameterized Neural Networks.

Siddhartha Satpathi, Harsh Gupta, Shiyu Liang, R. Srikant

Proceedings of the 59th IEEE Conference on Decision and Control, 2020

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

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, Faro Rabe, Saikat Ray, Malveeka Tewari, Matt Tierney, Monika Zahn, Jonathan Zolla, Joon Ong, Amin Vahdat

Proceedings of the 2018 Conference of the ACM Special Interest Group on Data Communication, 2018

Adding One Neuron Can Eliminate All Bad Local Minima.

Shiyu Liang, Ruoyu Sun, Jason D. Lee, R. Srikant

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Understanding the Loss Surface of Neural Networks for Binary Classification.

Shiyu Liang, Ruoyu Sun, Yixuan Li, Rayadurgam Srikant

Proceedings of the 35th International Conference on Machine Learning, 2018

Understanding the Loss Surface of Single-Layered Neural Networks for Binary Classification.

Shiyu Liang, Ruoyu Sun, Yixuan Li, R. Srikant

Proceedings of the 6th International Conference on Learning Representations, 2018

Enhancing The Reliability of Out-of-distribution Image Detection in Neural Networks.

Shiyu Liang, Yixuan Li, R. Srikant

Proceedings of the 6th International Conference on Learning Representations, 2018

2017

Principled Detection of Out-of-Distribution Examples in Neural Networks.

Shiyu Liang, Yixuan Li, R. Srikant

CoRR, 2017

Why Deep Neural Networks for Function Approximation?

Shiyu Liang, R. Srikant

Proceedings of the 5th International Conference on Learning Representations, 2017

2016

Why Deep Neural Networks?

Shiyu Liang, R. Srikant

CoRR, 2016

2015

Prioritization of potential candidate disease genes by topological similarity of protein-protein interaction network and phenotype data.

Jiawei Luo, Shiyu Liang

J. Biomed. Informatics, 2015

2014

Are we still friends: Kernel multivariate survival analysis.

Shiyu Liang, Ruotian Luo, Ge Chen, Songjun Ma, Weijie Wu, Li Song, Xiaohua Tian, Xinbing Wang

Proceedings of the IEEE Global Communications Conference, 2014