Shiyu Liang - RankMe

44 papers A* 7B 2Journal 29Unranked 6

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	A Middle Path for On-Premises LLM Deployment: Preserving Privacy Without Sacrificing Model Confidentiality. EMNLP Hanbo Huang, Yihan Li, Bowen Jiang, Bo Jiang, Lin Liu, Zhuotao Liu, Ruoyu Sun, Shiyu Liang
2025	J	`jnl`	AI-agent communication network for 6G: vision, architecture, and key technologies. Frontiers Inf. Technol. Electron. Eng. Xiaodong Duan, Zhenglei Huang, Shiyu Liang, Shaowen Zheng, Lu Lu, Tao Sun
2025	A*	`conf`	CertTA: Certified Robustness Made Practical for Learning-Based Traffic Analysis. USENIX Security Symposium Jinzhu Yan, Zhuotao Liu, Yuyang Xie, Shiyu Liang, Lin Liu, Ke Xu
2025	J	`jnl`	Efficient Packaging Line Object Counting by Cross-Frame Association With Wavelet Convolutions and Trajectory Compensation. IEEE Access Longxuan Wei, Yutao Zhu, Yufeng Li, Ming Qian, Xiang Zuo, Boan Chen, Shiyu Liang, Zhouhan Lin, Junchi Yan
2025	J	`jnl`	Efficient Photon Beam Diffusion for Directional Subsurface Scattering. IEEE Trans. Vis. Comput. Graph. Shiyu Liang, Yang Gao, Chonghao Hu, Aimin Hao, Hong Qin
2025	J	`jnl`	From Parameters to Prompts: Understanding and Mitigating the Factuality Gap between Fine-Tuned LLMs. CoRR Xuan Gong, Hanbo Huang, Shiyu Liang
2025	A*	`conf`	MM4flow: A Pre-trained Multi-modal Model for Versatile Network Traffic Analysis. CCS Luming Yang, Lin Liu, Junjie Huang, Zhuotao Liu, Shiyu Liang, Shaojing Fu, Yongjun Wang
2025	J	`jnl`	Origin Tracer: A Method for Detecting LoRA Fine-Tuning Origins in LLMs. CoRR Hongyu Liang, Yuting Zheng, Yihan Li, Yiran Zhang, Shiyu Liang
2025	J	`jnl`	RL-100: Performant Robotic Manipulation with Real-World Reinforcement Learning. CoRR Kun Lei, Huanyu Li, Dongjie Yu, Zhenyu Wei, Lingxiao Guo, Zhennan Jiang, Ziyu Wang, Shiyu Liang, Huazhe Xu
2025	J	`jnl`	RLCracker: Exposing the Vulnerability of LLM Watermarks with Adaptive RL Attacks. CoRR Hanbo Huang, Yiran Zhang, Hao Zheng, Xuan Gong, Yihan Li, Lin Liu, Shiyu Liang
2025	J	`jnl`	Saliency-Aware Foveated Path Tracing for Virtual Reality Rendering. IEEE Trans. Vis. Comput. Graph. Yang Gao, Wencan Li, Shiyu Liang, Aimin Hao, Xiaohui Tan
2025	J	`jnl`	VCORE: Variance-Controlled Optimization-based Reweighting for Chain-of-Thought Supervision. CoRR Xuan Gong, Senmiao Wang, Hanbo Huang, Ruoyu Sun, Shiyu Liang
2024	J	`jnl`	AceMap: Knowledge Discovery through Academic Graph. CoRR 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
2024	J	`jnl`	Archilles' Heel in Semi-open LLMs: Hiding Bottom against Recovery Attacks. CoRR Hanbo Huang, Yihan Li, Bowen Jiang, Lin Liu, Ruoyu Sun, Zhuotao Liu, Shiyu Liang
2024	—	`conf`	Convolutional Deep Unfolding Network for Asynchronous Active User Detection and Channel Estimation. WCSP Shiyu Liang, Wei Chen, Xiaofang Sun, Tianwei Hou, Jun Fang, Zhangdui Zhong, Bo Ai
2024	J	`jnl`	FlowerCast: Efficient Time-sensitive Multicast in Wireless Sensor Networks with Link Uncertainty. ACM Trans. Sens. Networks Jianzhi Tang, Luoyi Fu, Shiyu Liang, Fei Long, Lei Zhou, Xinbing Wang, Chenghu Zhou
2024	J	`jnl`	Graph Out-of-Distribution Generalization With Controllable Data Augmentation. IEEE Trans. Knowl. Data Eng. Bin Lu, Ze Zhao, Xiaoying Gan, Shiyu Liang, Luoyi Fu, Xinbing Wang, Chenghu Zhou
2024	J	`jnl`	Hi-PART: Going Beyond Graph Pooling with Hierarchical Partition Tree for Graph-Level Representation Learning. ACM Trans. Knowl. Discov. Data Yuyang Ren, Haonan Zhang, Luoyi Fu, Shiyu Liang, Lei Zhou, Xinbing Wang, Xinde Cao, Fei Long, Chenghu Zhou
2024	J	`jnl`	Scientific and technological knowledge grows linearly over time. CoRR Huquan Kang, Luoyi Fu, Russell J. Funk, Xinbing Wang, Jiaxin Ding, Shiyu Liang, Jianghao Wang, Lei Zhou, Chenghu Zhou
2024	J	`jnl`	State of the Art in Efficient Translucent Material Rendering with BSSRDF. Comput. Graph. Forum Shiyu Liang, Yang Gao, Chonghao Hu, Peng Zhou, Aimin Hao, Lili Wang, Hong Qin
2024	A*	`conf`	Temporal Generalization Estimation in Evolving Graphs. ICLR Bin Lu, Tingyan Ma, Xiaoying Gan, Xinbing Wang, Yunqiang Zhu, Chenghu Zhou, Shiyu Liang
2024	J	`jnl`	Temporal Generalization Estimation in Evolving Graphs. CoRR Bin Lu, Tingyan Ma, Xiaoying Gan, Xinbing Wang, Yunqiang Zhu, Chenghu Zhou, Shiyu Liang
2023	B	`conf`	Cluster-Specific Dictionary Learning Based Active User Detection for mMTC With Massive MIMO. GLOBECOM Shiyu Liang, Wei Chen, Ning Wang, Bo Ai
2023	—	`conf`	DataExpo: A One-Stop Dataset Service for Open Science Research. WWW (Companion Volume) Bin Lu, Lyuwen Wu, Lina Yang, Chenxing Sun, Wei Liu, Xiaoying Gan, Shiyu Liang, Luoyi Fu, Xinbing Wang, Chenghu Zhou
2023	J	`jnl`	Graph Out-of-Distribution Generalization with Controllable Data Augmentation. CoRR Bin Lu, Xiaoying Gan, Ze Zhao, Shiyu Liang, Luoyi Fu, Xinbing Wang, Chenghu Zhou
2022	J	`jnl`	Revisiting Landscape Analysis in Deep Neural Networks: Eliminating Decreasing Paths to Infinity. SIAM J. Optim. Shiyu Liang, Ruoyu Sun, R. Srikant
2021	J	`jnl`	Achieving Small Test Error in Mildly Overparameterized Neural Networks. CoRR Shiyu Liang, Ruoyu Sun, R. Srikant
2020	J	`jnl`	The Global Landscape of Neural Networks: An Overview. CoRR Ruoyu Sun, Dawei Li, Shiyu Liang, Tian Ding, R. Srikant
2020	J	`jnl`	The Global Landscape of Neural Networks: An Overview. IEEE Signal Process. Mag. Ruoyu Sun, Dawei Li, Shiyu Liang, Tian Ding, Rayadurgam Srikant
2020	—	`conf`	The Role of Regularization in Overparameterized Neural Networks. CDC Siddhartha Satpathi, Harsh Gupta, Shiyu Liang, R. Srikant
2019	J	`jnl`	Revisiting Landscape Analysis in Deep Neural Networks: Eliminating Decreasing Paths to Infinity. CoRR Shiyu Liang, Ruoyu Sun, R. Srikant
2018	A*	`conf`	Adding One Neuron Can Eliminate All Bad Local Minima. NeurIPS Shiyu Liang, Ruoyu Sun, Jason D. Lee, R. Srikant
2018	J	`jnl`	Adding One Neuron Can Eliminate All Bad Local Minima. CoRR Shiyu Liang, Ruoyu Sun, Jason D. Lee, R. Srikant
2018	A*	`conf`	B4 and after: managing hierarchy, partitioning, and asymmetry for availability and scale in google's software-defined WAN. SIGCOMM 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
2018	—	`conf`	Enhancing The Reliability of Out-of-distribution Image Detection in Neural Networks. ICLR (Poster) Shiyu Liang, Yixuan Li, R. Srikant
2018	J	`jnl`	FINE: A Framework for Distributed Learning on Incomplete Observations for Heterogeneous Crowdsensing Networks. IEEE/ACM Trans. Netw. Luoyi Fu, Songjun Ma, Lingkun Kong, Shiyu Liang, Xinbing Wang
2018	A*	`conf`	Understanding the Loss Surface of Neural Networks for Binary Classification. ICML Shiyu Liang, Ruoyu Sun, Yixuan Li, Rayadurgam Srikant
2018	J	`jnl`	Understanding the Loss Surface of Neural Networks for Binary Classification. CoRR Shiyu Liang, Ruoyu Sun, Yixuan Li, R. Srikant
2018	—	`conf`	Understanding the Loss Surface of Single-Layered Neural Networks for Binary Classification. ICLR (Workshop) Shiyu Liang, Ruoyu Sun, Yixuan Li, R. Srikant
2017	J	`jnl`	Principled Detection of Out-of-Distribution Examples in Neural Networks. CoRR Shiyu Liang, Yixuan Li, R. Srikant
2017	—	`conf`	Why Deep Neural Networks for Function Approximation? ICLR (Poster) Shiyu Liang, R. Srikant
2016	J	`jnl`	Why Deep Neural Networks? CoRR Shiyu Liang, R. Srikant
2015	J	`jnl`	Prioritization of potential candidate disease genes by topological similarity of protein-protein interaction network and phenotype data. J. Biomed. Informatics Jiawei Luo, Shiyu Liang
2014	B	`conf`	Are we still friends: Kernel multivariate survival analysis. GLOBECOM Shiyu Liang, Ruotian Luo, Ge Chen, Songjun Ma, Weijie Wu, Li Song, Xiaohua Tian, Xinbing Wang