Songze Li - RankMe

191 papers A* 21A 1B 14Misc 5Journal 134Unranked 16

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Comprehensive Evaluation of LLM Reasoning: From Single-Model to Multi-Agent Paradigms. CoRR Yapeng Li, Jiakuo Yu, Zhixin Liu, Xinnan Liu, Jing Yu, Songze Li, Tonghua Su
2026	J	`jnl`	Attributing and Exploiting Safety Vectors through Global Optimization in Large Language Models. CoRR Fengheng Chu, Jiahao Chen, Yuhong Wang, Jun Wang, Zhihui Fu, Shouling Ji, Songze Li
2026	J	`jnl`	Beauty and the Beast: Imperceptible Perturbations Against Diffusion-Based Face Swapping via Directional Attribute Editing. CoRR Yilong Huang, Songze Li
2026	J	`jnl`	CIBER: A Comprehensive Benchmark for Security Evaluation of Code Interpreter Agents. CoRR Lei Ba, Qinbin Li, Songze Li
2026	J	`jnl`	CODE: A Contradiction-Based Deliberation Extension Framework for Overthinking Attacks on Retrieval-Augmented Generation. CoRR Xiaolei Zhang, Xiaojun Jia, Liquan Chen, Songze Li
2026	J	`jnl`	CoG: Controllable Graph Reasoning via Relational Blueprints and Failure-Aware Refinement over Knowledge Graphs. CoRR Yuanxiang Liu, Songze Li, Xiaoke Guo, Zhaoyan Gong, Qifei Zhang, Huajun Chen, Wen Zhang
2026	A*	`conf`	DoBlock: Blocking Malicious Association Propagation for Backdoor-Robust Federated Learning Under Domain Skew. AAAI Zhou Tan, De Li, Yirui Huang, Duanshu Fang, Jia-Li Yin, Xiaolei Liu, Songze Li, Shouling Ji
2026	J	`jnl`	Document image forgery detection and localization in desensitization scenarios. Signal Process. Weixiang Li, Bin Li, Kengtao Zheng, Songze Li, Haodong Li
2026	A*	`conf`	Ellipsoid-Based Decision Boundaries for Open Intent Classification. AAAI Yuetian Zou, Hanlei Zhang, Hua Xu, Songze Li, Long Xiao
2026	J	`jnl`	Evolutionary Multimodal Reasoning via Hierarchical Semantic Representation for Intent Recognition. CoRR Qianrui Zhou, Hua Xu, Yunjin Gu, Yifan Wang, Songze Li, Hanlei Zhang
2026	J	`jnl`	Hidden Ads: Behavior Triggered Semantic Backdoors for Advertisement Injection in Vision Language Models. CoRR Duanyi Yao, Changyue Li, Zhicong Huang, Cheng Hong, Songze Li
2026	J	`jnl`	Knowledge-Driven Multi-Turn Jailbreaking on Large Language Models. CoRR Songze Li, Ruishi He, Xiaojun Jia, Jun Wang, Zhihui Fu
2026	J	`jnl`	MASH: Evading Black-Box AI-Generated Text Detectors via Style Humanization. CoRR Yongtong Gu, Songze Li, Xia Hu
2026	J	`jnl`	Noise as a Probe: Membership Inference Attacks on Diffusion Models Leveraging Initial Noise. CoRR Puwei Lian, Yujun Cai, Songze Li, Bingkun Bao
2026	J	`jnl`	OSTE: Omni-Scene Text Editing with Latent Decoupling. Comput. Vis. Image Underst. Tonghua Su, Fuxiang Yang, Lei Fan, Donglin Di, Zhongjie Wang, Songze Li, Xiangqian Wu, Xiang Zhou
2026	J	`jnl`	SEAL-Tag: Self-Tag Evidence Aggregation with Probabilistic Circuits for PII-Safe Retrieval-Augmented Generation. CoRR Jin Xie, Songze Li, Guang Cheng
2026	A*	`conf`	Tackling Resource-Constrained and Data-Heterogeneity in Federated Learning with Double-Weight Sparse Pack. AAAI Qiantao Yang, Liquan Chen, Mingfu Xue, Songze Li
2026	J	`jnl`	Tackling Resource-Constrained and Data-Heterogeneity in Federated Learning with Double-Weight Sparse Pack. CoRR Qiantao Yang, Liquan Chen, Mingfu Xue, Songze Li
2026	J	`jnl`	Temp-R1: A Unified Autonomous Agent for Complex Temporal KGQA via Reverse Curriculum Reinforcement Learning. CoRR Zhaoyan Gong, Zhiqiang Liu, Songze Li, Xiaoke Guo, Yuanxiang Liu, Xinle Deng, Zhizhen Liu, Lei Liang, Huajun Chen, Wen Zhang
2026	J	`jnl`	Unveiling the Security Risks of Federated Learning in the Wild: From Research to Practice. CoRR Jiahao Chen, Zhiming Zhao, Yuwen Pu, Chunyi Zhou, Zhou Feng, Songze Li, Shouling Ji
2025	J	`jnl`	A unified prompt-based framework for few-shot multimodal language analysis. Intell. Syst. Appl. Xiaohan Zhang, Runmin Cao, Yifan Wang, Songze Li, Hua Xu, Kai Gao, Lunsong Huang
2025	A*	`conf`	Agent-Oriented Planning in Multi-Agent Systems. ICLR Ao Li, Yuexiang Xie, Songze Li, Fugee Tsung, Bolin Ding, Yaliang Li
2025	A*	`conf`	Arbitrary-Threshold Fully Homomorphic Encryption with Lower Complexity. USENIX Security Symposium Yijia Chang, Songze Li
2025	J	`jnl`	Arbitrary-Threshold Fully Homomorphic Encryption with Lower Complexity. CoRR Yijia Chang, Songze Li
2025	J	`jnl`	Arbitrary-Threshold Fully Homomorphic Encryption with Lower Complexity. IACR Cryptol. ePrint Arch. Yijia Chang, Songze Li
2025	J	`jnl`	Asymptotically Optimal Secure Aggregation for Wireless Federated Learning with Multiple Servers. CoRR Zhenhao Huang, Kai Liang, Yuanming Shi, Songze Li, Youlong Wu
2025	J	`jnl`	Balancing Stability and Plasticity in Pretrained Detector: A Dual-Path Framework for Incremental Object Detection. CoRR Songze Li, Qixing Xu, Tonghua Su, Xu-Yao Zhang, Zhongjie Wang
2025	J	`jnl`	Bi-Erasing: A Bidirectional Framework for Concept Removal in Diffusion Models. CoRR Hao Chen, Yiwei Wang, Songze Li
2025	A*	`conf`	Bootstrapping Language-Guided Navigation Learning with Self-Refining Data Flywheel. ICLR Zun Wang, Jialu Li, Yicong Hong, Songze Li, Kunchang Li, Shoubin Yu, Yi Wang, Yu Qiao, Yali Wang, Mohit Bansal, Limin Wang
2025	J	`jnl`	Continual Learning With Knowledge Distillation: A Survey. IEEE Trans. Neural Networks Learn. Syst. Songze Li, Tonghua Su, Xu-Yao Zhang, Zhongjie Wang
2025	A*	`conf`	DITL ACM Multimedia Songze Li, Yunfei Guo, Shen Chen, Bin Li, Kaiqing Lin, Changsheng Chen, Haodong Li, Taiping Yao, Shouhong Ding
2025	J	`jnl`	DUKAE: DUal-level Knowledge Accumulation and Ensemble for Pre-Trained Model-Based Continual Learning. CoRR Songze Li, Tonghua Su, Xu-Yao Zhang, Qixing Xu, Zhongjie Wang
2025	A*	`conf`	DeDe: Detecting Backdoor Samples for SSL Encoders via Decoders. CVPR Sizai Hou, Songze Li, Duanyi Yao
2025	J	`jnl`	Ellipsoid-Based Decision Boundaries for Open Intent Classification. CoRR Yuetian Zou, Hanlei Zhang, Hua Xu, Songze Li, Long Xiao
2025	A*	`conf`	Enrich-on-Graph: Query-Graph Alignment for Complex Reasoning with LLM Enriching. EMNLP Songze Li, Zhiqiang Liu, Zhengke Gui, Huajun Chen, Wen Zhang
2025	J	`jnl`	Enrich-on-Graph: Query-Graph Alignment for Complex Reasoning with LLM Enriching. CoRR Songze Li, Zhiqiang Liu, Zhengke Gui, Huajun Chen, Wen Zhang
2025	—	`conf`	Federated Learning for Deep Anomaly Detection with Noisy and Heterogeneous Data. CASE Ao Li, Songze Li, Fugee Tsung
2025	J	`jnl`	FuncPoison: Poisoning Function Library to Hijack Multi-agent Autonomous Driving Systems. CoRR Yuzhen Long, Songze Li
2025	J	`jnl`	Generalized Lagrange Coded Computing: A Flexible Computation-Communication Tradeoff for Resilient, Secure, and Private Computation. IEEE Trans. Commun. Jinbao Zhu, Hengxuan Tang, Songze Li, Yijia Chang
2025	J	`jnl`	How does Watermarking Affect Visual Language Models in Document Understanding? CoRR Chunxue Xu, Yiwei Wang, Bryan Hooi, Yujun Cai, Songze Li
2025	J	`jnl`	InternSpatial: A Comprehensive Dataset for Spatial Reasoning in Vision-Language Models. CoRR Nianchen Deng, Lixin Gu, Shenglong Ye, Yinan He, Zhe Chen, Songze Li, Haomin Wang, Xingguang Wei, Tianshuo Yang, Min Dou, Tong He, Wenqi Shao, Kaipeng Zhang, Yi Wang, Botian Shi, Yanting Zhang, Jifeng Dai, Yu Qiao, Hongjie Zhang, Wenhai Wang
2025	J	`jnl`	InternVL3.5: Advancing Open-Source Multimodal Models in Versatility, Reasoning, and Efficiency. CoRR Weiyun Wang, Zhangwei Gao, Lixin Gu, Hengjun Pu, Long Cui, Xingguang Wei, Zhaoyang Liu, Linglin Jing, Shenglong Ye, Jie Shao, Zhaokai Wang, Zhe Chen, Hongjie Zhang, Ganlin Yang, Haomin Wang, Qi Wei, Jinhui Yin, Wenhao Li, Erfei Cui, Guanzhou Chen, Zichen Ding, Changyao Tian, Zhenyu Wu, Jingjing Xie, Zehao Li, Bowen Yang, Yuchen Duan, Xuehui Wang, Zhi Hou, Haoran Hao, Tianyi Zhang, Songze Li, Xiangyu Zhao, Haodong Duan, Nianchen Deng, Bin Fu, Yinan He, Yi Wang, Conghui He, Botian Shi, Junjun He, Yingtong Xiong, Han Lv, Lijun Wu, Wenqi Shao, Kaipeng Zhang, Huipeng Deng, Biqing Qi, Jiaye Ge, Qipeng Guo, Wenwei Zhang, Songyang Zhang, Maosong Cao, Junyao Lin, Kexian Tang, Jianfei Gao, Haian Huang, Yuzhe Gu, Chengqi Lyu, Huanze Tang, Rui Wang, Haijun Lv, Wanli Ouyang, Limin Wang, Min Dou, Xizhou Zhu, Tong Lu, Dahua Lin, Jifeng Dai, Weijie Su, Bowen Zhou, Kai Chen, Yu Qiao, Wenhai Wang, Gen Luo
2025	J	`jnl`	InternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal Models. CoRR Jinguo Zhu, Weiyun Wang, Zhe Chen, Zhaoyang Liu, Shenglong Ye, Lixin Gu, Hao Tian, Yuchen Duan, Weijie Su, Jie Shao, Zhangwei Gao, Erfei Cui, Xuehui Wang, Yue Cao, Yangzhou Liu, Xingguang Wei, Hongjie Zhang, Haomin Wang, Weiye Xu, Hao Li, Jiahao Wang, Nianchen Deng, Songze Li, Yinan He, Tan Jiang, Jiapeng Luo, Yi Wang, Conghui He, Botian Shi, Xingcheng Zhang, Wenqi Shao, Junjun He, Yingtong Xiong, Wenwen Qu, Peng Sun, Penglong Jiao, Han Lv, Lijun Wu, Kaipeng Zhang, Huipeng Deng, Jiaye Ge, Kai Chen, Limin Wang, Min Dou, Lewei Lu, Xizhou Zhu, Tong Lu, Dahua Lin, Yu Qiao, Jifeng Dai, Wenhai Wang
2025	J	`jnl`	LLMs Cannot Reliably Judge (Yet?): A Comprehensive Assessment on the Robustness of LLM-as-a-Judge. CoRR Songze Li, Chuokun Xu, Jiaying Wang, Xueluan Gong, Chen Chen, Jirui Zhang, Jun Wang, Kwok-Yan Lam, Shouling Ji
2025	J	`jnl`	Last Layer Logits to Logic: Empowering LLMs with Logic-Consistent Structured Knowledge Reasoning. CoRR Songze Li, Zhiqiang Liu, Zhaoyan Gong, Xiaoke Guo, Zhengke Gui, Huajun Chen, Wen Zhang
2025	J	`jnl`	Learning Goal-Oriented Language-Guided Navigation with Self-Improving Demonstrations at Scale. CoRR Songze Li, Zun Wang, Gengze Zhou, Jialu Li, Xiangyu Zeng, Limin Wang, Yu Qiao, Qi Wu, Mohit Bansal, Yi Wang
2025	J	`jnl`	Learning how to transfer: A lifelong domain knowledge distillation framework for continual MRC. Intell. Syst. Appl. Songze Li, Zhijing Wu, Runmin Cao, Xiaohan Zhang, Yifan Wang, Hua Xu, Kai Gao
2025	—	`conf`	MSfusion: A Dynamic Model Splitting Approach for Resource-Constrained Machines to Collaboratively Train Larger Models. ICANN (1) Jin Xie, Danny H. K. Tsang, Songze Li
2025	A*	`conf`	Manifoldchain: Maximizing Blockchain Throughput via Bandwidth-Clustered Sharding. NDSS Chunjiang Che, Songze Li, Xuechao Wang
2025	J	`jnl`	Multimodal Continual Instruction Tuning with Dynamic Gradient Guidance. CoRR Songze Li, Mingyu Gao, Tonghua Su, Xu-Yao Zhang, Zhongjie Wang
2025	J	`jnl`	Odysseus: Jailbreaking Commercial Multimodal LLM-integrated Systems via Dual Steganography. CoRR Songze Li, Jiameng Cheng, Yiming Li, Xiaojun Jia, Dacheng Tao
2025	J	`jnl`	Policy Disruption in Reinforcement Learning:Adversarial Attack with Large Language Models and Critical State Identification. CoRR Junyong Jiang, Buwei Tian, Chenxing Xu, Songze Li, Lu Dong
2025	J	`jnl`	PriRoAgg: Achieving Robust Model Aggregation With Minimum Privacy Leakage for Federated Learning. IEEE Trans. Inf. Forensics Secur. Sizai Hou, Songze Li, Tayyebeh Jahani-Nezhad, Giuseppe Caire
2025	J	`jnl`	Privacy-Preserving Coded Schemes for Multi-Server Federated Learning With Straggling Links. IEEE Trans. Inf. Forensics Secur. Kai Liang, Songze Li, Ming Ding, Feng Tian, Youlong Wu
2025	J	`jnl`	Privacy-preserving Prompt Personalization in Federated Learning for Multimodal Large Language Models. CoRR Sizai Hou, Songze Li, Baturalp Buyukates
2025	J	`jnl`	ReCIT: Reconstructing Full Private Data from Gradient in Parameter-Efficient Fine-Tuning of Large Language Models. CoRR Jin Xie, Ruishi He, Songze Li, Xiaojun Jia, Shouling Ji
2025	—	`conf`	Resolving the Efficiency-Utility Dilemma of Threshold Linearly Homomorphic Encryption via Message-Space Adapter. CRYPTO (3) Yijia Chang, Rongmao Chen, Chao Lin, Songze Li, Xinyi Huang
2025	J	`jnl`	Resolving the Efficiency-Utility Dilemma of Threshold Linearly Homomorphic Encryption via Message-Space Adapter. IACR Cryptol. ePrint Arch. Yijia Chang, Rongmao Chen, Chao Lin, Songze Li, Xinyi Huang
2025	J	`jnl`	Responsible Diffusion: A Comprehensive Survey on Safety, Ethics, and Trust in Diffusion Models. CoRR Kang Wei, Xin Yuan, Fushuo Huo, Chuan Ma, Long Yuan, Songze Li, Ming Ding, Dacheng Tao
2025	J	`jnl`	Rethinking Knowledge in Distillation: An In-context Sample Retrieval Perspective. CoRR Jinjing Zhu, Songze Li, Lin Wang
2025	J	`jnl`	SA3C-ID: a novel network intrusion detection model using feature selection and adversarial training. PeerJ Comput. Sci. Wanwei Huang, Haobin Tian, Lei Wang, Sunan Wang, Kun Wang, Songze Li
2025	J	`jnl`	Secure Embedding Aggregation for Cross-Silo Federated Representation Learning. IEEE Trans. Inf. Forensics Secur. Songze Li, Jiaxiang Tang, Jinbao Zhu, Kai Zhang, Lichao Sun, Changyu Dong
2025	J	`jnl`	SecurePay: Enabling Secure and Fast Payment Processing for Platform Economy. CoRR Junru Lin, Mingzhe Liu, Songze Li, Xuechao Wang
2025	B	`conf`	Securepay: Enabling Secure and Fast Payment Processing for Platform Economy. IWQoS Junru Lin, Mingzhe Liu, Songze Li, Xuechao Wang
2025	A*	`conf`	TimeSuite: Improving MLLMs for Long Video Understanding via Grounded Tuning. ICLR Xiangyu Zeng, Kunchang Li, Chenting Wang, Xinhao Li, Tianxiang Jiang, Ziang Yan, Songze Li, Yansong Shi, Zhengrong Yue, Yi Wang, Yali Wang, Yu Qiao, Limin Wang
2025	J	`jnl`	TooBadRL: Trigger Optimization to Boost Effectiveness of Backdoor Attacks on Deep Reinforcement Learning. CoRR Songze Li, Mingxuan Zhang, Kang Wei, Shouling Ji
2025	J	`jnl`	TrojanDam: Detection-Free Backdoor Defense in Federated Learning through Proactive Model Robustification utilizing OOD Data. CoRR Yanbo Dai, Songze Li, Zihan Gan, Xueluan Gong
2025	A*	`conf`	URVFL: Undetectable Data Reconstruction Attack on Vertical Federated Learning. NDSS Duanyi Yao, Songze Li, Xueluan Gong, Sizai Hou, Gaoning Pan
2025	J	`jnl`	Unveiling Impact of Frequency Components on Membership Inference Attacks for Diffusion Models. CoRR Puwei Lian, Yujun Cai, Songze Li
2025	J	`jnl`	VRBench: A Benchmark for Multi-Step Reasoning in Long Narrative Videos. CoRR Jiashuo Yu, Yue Wu, Meng Chu, Zhifei Ren, Zizheng Huang, Pei Chu, Ruijie Zhang, Yinan He, Qirui Li, Songze Li, Zhenxiang Li, Zhongying Tu, Conghui He, Yu Qiao, Yali Wang, Yi Wang, Limin Wang
2025	J	`jnl`	Visual CoT Makes VLMs Smarter but More Fragile. CoRR Chunxue Xu, Yiwei Wang, Yujun Cai, Bryan Hooi, Songze Li
2025	J	`jnl`	When Data Manipulation Meets Attack Goals: An In-depth Survey of Attacks for VLMs. CoRR Aobotao Dai, Xinyu Ma, Lei Chen, Songze Li, Lin Wang
2024	J	`jnl`	Agent-Oriented Planning in Multi-Agent Systems. CoRR Ao Li, Yuexiang Xie, Songze Li, Fugee Tsung, Bolin Ding, Yaliang Li
2024	A*	`conf`	BackdoorIndicator: Leveraging OOD Data for Proactive Backdoor Detection in Federated Learning. USENIX Security Symposium Songze Li, Yanbo Dai
2024	J	`jnl`	BackdoorIndicator: Leveraging OOD Data for Proactive Backdoor Detection in Federated Learning. CoRR Songze Li, Yanbo Dai
2024	J	`jnl`	BackdoorIndicator: Leveraging OOD Data for Proactive Backdoor Detection in Federated Learning. IACR Cryptol. ePrint Arch. Songze Li, Yanbo Dai
2024	J	`jnl`	Bootstrapping Language-Guided Navigation Learning with Self-Refining Data Flywheel. CoRR Zun Wang, Jialu Li, Yicong Hong, Songze Li, Kunchang Li, Shoubin Yu, Yi Wang, Yu Qiao, Yali Wang, Mohit Bansal, Limin Wang
2024	A*	`conf`	Constructing Adversarial Examples for Vertical Federated Learning: Optimal Client Corruption through Multi-Armed Bandit. ICLR Duanyi Yao, Songze Li, Ye Xue, Jin Liu
2024	J	`jnl`	Constructing Adversarial Examples for Vertical Federated Learning: Optimal Client Corruption through Multi-Armed Bandit. CoRR Duanyi Yao, Songze Li, Ye Xue, Jin Liu
2024	J	`jnl`	DeDe: Detecting Backdoor Samples for SSL Encoders via Decoders. CoRR Sizai Hou, Songze Li, Duanyi Yao
2024	J	`jnl`	FedMeS: Personalized Federated Continual Learning Leveraging Local Memory. CoRR Jin Xie, Chenqing Zhu, Songze Li
2024	J	`jnl`	Hidden Data Privacy Breaches in Federated Learning. CoRR Xueluan Gong, Yuji Wang, Shuaike Li, Mengyuan Sun, Songze Li, Qian Wang, Kwok-Yan Lam, Chen Chen
2024	J	`jnl`	Identity Inference from CLIP Models using Only Textual Data. CoRR Songze Li, Ruoxi Cheng, Xiaojun Jia
2024	—	`conf`	InternVideo2: Scaling Foundation Models for Multimodal Video Understanding. ECCV (85) Yi Wang, Kunchang Li, Xinhao Li, Jiashuo Yu, Yinan He, Guo Chen, Baoqi Pei, Rongkun Zheng, Zun Wang, Yansong Shi, Tianxiang Jiang, Songze Li, Jilan Xu, Hongjie Zhang, Yifei Huang, Yu Qiao, Yali Wang, Limin Wang
2024	J	`jnl`	InternVideo2: Scaling Video Foundation Models for Multimodal Video Understanding. CoRR Yi Wang, Kunchang Li, Xinhao Li, Jiashuo Yu, Yinan He, Guo Chen, Baoqi Pei, Rongkun Zheng, Jilan Xu, Zun Wang, Yansong Shi, Tianxiang Jiang, Songze Li, Hongjie Zhang, Yifei Huang, Yu Qiao, Yali Wang, Limin Wang
2024	—	`conf`	Joint User Association and Power Allocation in Multi-connectivity Enabled mmWave Networks: a Perspective of Rate Trade-off among Users. VTC Fall Songze Li, Ailing Chen, Zhenzhou Tang
2024	J	`jnl`	Leveraging Label Information for Stealthy Data Stealing in Vertical Federated Learning. CoRR Duanyi Yao, Songze Li, Xueluan Gong, Sizai Hou, Gaoning Pan
2024	J	`jnl`	MSfusion: A Dynamic Model Splitting Approach for Resource-Constrained Machines to Collaboratively Train Larger Models. CoRR Jin Xie, Songze Li
2024	J	`jnl`	Manifoldchain: Maximizing Blockchain Throughput via Bandwidth-Clustered Sharding. CoRR Chunjiang Che, Songze Li, Xuechao Wang
2024	J	`jnl`	Navigating the Risks: A Survey of Security, Privacy, and Ethics Threats in LLM-Based Agents. CoRR Yuyou Gan, Yong Yang, Zhe Ma, Ping He, Rui Zeng, Yiming Wang, Qingming Li, Chunyi Zhou, Songze Li, Ting Wang, Yunjun Gao, Yingcai Wu, Shouling Ji
2024	J	`jnl`	OmniLytics+: A Secure, Efficient, and Affordable Blockchain Data Market for Machine Learning through Off-Chain Processing. CoRR Songze Li, Mingzhe Liu, Mengqi Chen
2024	J	`jnl`	On Exploiting Network Topology for Hierarchical Coded Multi-Task Learning. IEEE Trans. Commun. Haoyang Hu, Songze Li, Minquan Cheng, Shuai Ma, Yuanming Shi, Youlong Wu
2024	J	`jnl`	PriRoAgg: Achieving Robust Model Aggregation with Minimum Privacy Leakage for Federated Learning. CoRR Sizai Hou, Songze Li, Tayyebeh Jahani-Nezhad, Giuseppe Caire
2024	J	`jnl`	Stochastic Coded Federated Learning: Theoretical Analysis and Incentive Mechanism Design. IEEE Trans. Wirel. Commun. Yuchang Sun, Jiawei Shao, Yuyi Mao, Songze Li, Jun Zhang
2024	J	`jnl`	TimeSuite: Improving MLLMs for Long Video Understanding via Grounded Tuning. CoRR Xiangyu Zeng, Kunchang Li, Chenting Wang, Xinhao Li, Tianxiang Jiang, Ziang Yan, Songze Li, Yansong Shi, Zhengrong Yue, Yi Wang, Yali Wang, Yu Qiao, Limin Wang
2024	J	`jnl`	Towards Client Driven Federated Learning. CoRR Songze Li, Chenqing Zhu
2023	—	`conf`	Active Few-shot Learning For RouteNet-Fermi. GNNet@CoNEXT Xiaoyi Fu, Menghan Shao, Songze Li, Liuqing Yang
2023	J	`jnl`	Boosting Cross-task Transferability of Adversarial Patches with Visual Relations. CoRR Tony Ma, Songze Li, Yisong Xiao, Shunchang Liu
2023	A*	`conf`	Chameleon: Adapting to Peer Images for Planting Durable Backdoors in Federated Learning. ICML Yanbo Dai, Songze Li
2023	J	`jnl`	Chameleon: Adapting to Peer Images for Planting Durable Backdoors in Federated Learning. CoRR Yanbo Dai, Songze Li
2023	B	`conf`	Coded Distributed Computing for Hierarchical Multi-task Learning. ITW Haoyang Hu, Songze Li, Minquan Cheng, Youlong Wu
2023	J	`jnl`	Communication-Efficient Coded Computing for Distributed Multi-Task Learning. IEEE Trans. Commun. Haoyang Hu, Youlong Wu, Yuanming Shi, Songze Li, Chunxiao Jiang, Wei Zhang
2023	A*	`conf`	FedVS: Straggler-Resilient and Privacy-Preserving Vertical Federated Learning for Split Models. ICML Songze Li, Duanyi Yao, Jin Liu
2023	J	`jnl`	FedVS: Straggler-Resilient and Privacy-Preserving Vertical Federated Learning for Split Models. CoRR Songze Li, Duanyi Yao, Jin Liu
2023	J	`jnl`	FedVS: Straggler-Resilient and Privacy-Preserving Vertical Federated Learning for Split Models. IACR Cryptol. ePrint Arch. Songze Li, Duanyi Yao, Jin Liu
2023	J	`jnl`	Information-Theoretically Private Matrix Multiplication From MDS-Coded Storage. IEEE Trans. Inf. Forensics Secur. Jinbao Zhu, Songze Li, Jie Li
2023	B	`conf`	Multi-Server Secure Aggregation with Unreliable Communication Links. GLOBECOM Kai Liang, Songze Li, Ming Ding, Youlong Wu
2023	J	`jnl`	Multi-Server Secure Aggregation with Unreliable Communication Links. CoRR Kai Liang, Songze Li, Ming Ding, Youlong Wu
2023	J	`jnl`	Scene Style Text Editing. CoRR Tonghua Su, Fuxiang Yang, Xiang Zhou, Donglin Di, Zhongjie Wang, Songze Li
2023	B	`conf`	Secure Embedding Aggregation for Federated Representation Learning. ISIT Jiaxiang Tang, Jinbao Zhu, Songze Li, Lichao Sun
2023	B	`conf`	Secure Gradient Aggregation for Wireless Multi-Server Federated Learning. ISIT Zhenhao Huang, Songze Li, Kai Liang, Youlong Wu
2023	A*	`conf`	Self-Supervised Cross-Language Scene Text Editing. ACM Multimedia Fuxiang Yang, Tonghua Su, Xiang Zhou, Donglin Di, Zhongjie Wang, Songze Li
2023	J	`jnl`	SwiftAgg+: Achieving Asymptotically Optimal Communication Loads in Secure Aggregation for Federated Learning. IEEE J. Sel. Areas Commun. Tayyebeh Jahani-Nezhad, Mohammad Ali Maddah-Ali, Songze Li, Giuseppe Caire
2022	J	`jnl`	A Systematic Approach Towards Efficient Private Matrix Multiplication. IEEE J. Sel. Areas Inf. Theory Jinbao Zhu, Songze Li
2022	J	`jnl`	A Systematic Approach towards Efficient Private Matrix Multiplication. CoRR Jinbao Zhu, Songze Li
2022	J	`jnl`	Coded Distributed Computing for Hierarchical Multi-task Learning. CoRR Haoyang Hu, Songze Li, Minquan Cheng, Youlong Wu
2022	A*	`conf`	DReS-FL: Dropout-Resilient Secure Federated Learning for Non-IID Clients via Secret Data Sharing. NeurIPS Jiawei Shao, Yuchang Sun, Songze Li, Jun Zhang
2022	J	`jnl`	DReS-FL: Dropout-Resilient Secure Federated Learning for Non-IID Clients via Secret Data Sharing. CoRR Jiawei Shao, Yuchang Sun, Songze Li, Jun Zhang
2022	J	`jnl`	Fully Privacy-Preserving Federated Representation Learning via Secure Embedding Aggregation. CoRR Jiaxiang Tang, Jinbao Zhu, Songze Li, Kai Zhang, Lichao Sun
2022	J	`jnl`	Fully Privacy-Preserving Federated Representation Learning via Secure Embedding Aggregation. IACR Cryptol. ePrint Arch. Jiaxiang Tang, Jinbao Zhu, Songze Li, Kai Zhang, Lichao Sun
2022	B	`conf`	Generalized Lagrange Coded Computing: A Flexible Computation-Communication Tradeoff. ISIT Jinbao Zhu, Songze Li
2022	J	`jnl`	Generalized Lagrange Coded Computing: A Flexible Computation-Communication Tradeoff. CoRR Jinbao Zhu, Songze Li
2022	—	`conf`	LightSecAgg: a Lightweight and Versatile Design for Secure Aggregation in Federated Learning. MLSys Jinhyun So, Corey J. Nolet, Chien-Sheng Yang, Songze Li, Qian Yu, Ramy E. Ali, Basak Guler, Salman Avestimehr
2022	J	`jnl`	Private Matrix Multiplication From MDS-Coded Storage With Colluding Servers. CoRR Jinbao Zhu, Jie Li, Songze Li
2022	J	`jnl`	Secure Federated Clustering. CoRR Songze Li, Sizai Hou, Baturalp Buyukates, Salman Avestimehr
2022	J	`jnl`	Secure Federated Clustering. IACR Cryptol. ePrint Arch. Songze Li, Sizai Hou, Baturalp Buyukates, Salman Avestimehr
2022	B	`conf`	Stochastic Coded Federated Learning with Convergence and Privacy Guarantees. ISIT Yuchang Sun, Jiawei Shao, Songze Li, Yuyi Mao, Jun Zhang
2022	J	`jnl`	Stochastic Coded Federated Learning with Convergence and Privacy Guarantees. CoRR Yuchang Sun, Jiawei Shao, Songze Li, Yuyi Mao, Jun Zhang
2022	J	`jnl`	Stochastic Coded Federated Learning: Theoretical Analysis and Incentive Mechanism Design. CoRR Yuchang Sun, Jiawei Shao, Yuyi Mao, Songze Li, Jun Zhang
2022	J	`jnl`	SwiftAgg+: Achieving Asymptotically Optimal Communication Load in Secure Aggregation for Federated Learning. CoRR Tayyebeh Jahani-Nezhad, Mohammad Ali Maddah-Ali, Songze Li, Giuseppe Caire
2022	B	`conf`	SwiftAgg: Communication-Efficient and Dropout-Resistant Secure Aggregation for Federated Learning with Worst-Case Security Guarantees. ISIT Tayyebeh Jahani-Nezhad, Mohammad Ali Maddah-Ali, Songze Li, Giuseppe Caire
2022	J	`jnl`	SwiftAgg: Communication-Efficient and Dropout-Resistant Secure Aggregation for Federated Learning with Worst-Case Security Guarantees. CoRR Tayyebeh Jahani-Nezhad, Mohammad Ali Maddah-Ali, Songze Li, Giuseppe Caire
2022	J	`jnl`	Symmetric Private Polynomial Computation From Lagrange Encoding. IEEE Trans. Inf. Theory Jinbao Zhu, Qifa Yan, Xiaohu Tang, Songze Li
2022	J	`jnl`	Use of a BP Neural Network and Meteorological Data for Generating Spatiotemporally Continuous LAI Time Series. IEEE Trans. Geosci. Remote. Sens. Xinran Zhu, Jing Li, Qinhuo Liu, Wentao Yu, Songze Li, Jing Zhao, Yadong Dong, Zhaoxing Zhang, Hu Zhang, Shangrong Lin
2021	J	`jnl`	Compressed Coded Distributed Computing. IEEE Trans. Commun. Ahmed Roushdy Elkordy, Songze Li, Mohammad Ali Maddah-Ali, Amir Salman Avestimehr
2021	J	`jnl`	Estimating Leaf Area Index with Dynamic Leaf Optical Properties. Remote. Sens. Hu Zhang, Jing Li, Qinhuo Liu, Yadong Dong, Songze Li, Zhaoxing Zhang, Xinran Zhu, Liangyun Liu, Jing Zhao
2021	J	`jnl`	LightSecAgg: Rethinking Secure Aggregation in Federated Learning. CoRR Chien-Sheng Yang, Jinhyun So, Chaoyang He, Songze Li, Qian Yu, Salman Avestimehr
2021	J	`jnl`	OmniLytics: A Blockchain-based Secure Data Market for Decentralized Machine Learning. CoRR Jiacheng Liang, Wensi Jiang, Songze Li
2021	J	`jnl`	OmniLytics: A Blockchain-based Secure Data Market for Decentralized Machine Learning. IACR Cryptol. ePrint Arch. Jiacheng Liang, Wensi Jiang, Songze Li
2021	J	`jnl`	PolyShard: Coded Sharding Achieves Linearly Scaling Efficiency and Security Simultaneously. IEEE Trans. Inf. Forensics Secur. Songze Li, Mingchao Yu, Chien-Sheng Yang, Amir Salman Avestimehr, Sreeram Kannan, Pramod Viswanath
2020	J	`jnl`	Coded Computing. Found. Trends Commun. Inf. Theory Songze Li, Salman Avestimehr
2020	—	`conf`	Coded Merkle Tree: Solving Data Availability Attacks in Blockchains. Financial Cryptography Mingchao Yu, Saeid Sahraei, Songze Li, Salman Avestimehr, Sreeram Kannan, Pramod Viswanath
2020	J	`jnl`	FedML: A Research Library and Benchmark for Federated Machine Learning. CoRR Chaoyang He, Songze Li, Jinhyun So, Mi Zhang, Hongyi Wang, Xiaoyang Wang, Praneeth Vepakomma, Abhishek Singh, Hang Qiu, Li Shen, Peilin Zhao, Yan Kang, Yang Liu, Ramesh Raskar, Qiang Yang, Murali Annavaram, Salman Avestimehr
2020	B	`conf`	PolyShard: Coded Sharding Achieves Linearly Scaling Efficiency and Security Simultaneously. ISIT Songze Li, Mingchao Yu, Chien-Sheng Yang, Amir Salman Avestimehr, Sreeram Kannan, Pramod Viswanath
2020	J	`jnl`	TaiJi: Longest Chain Availability with BFT Fast Confirmation. CoRR Songze Li, David Tse
2020	J	`jnl`	TaiJi: Longest Chain Availability with BFT Fast Confirmation. IACR Cryptol. ePrint Arch. Songze Li, David Tse
2019	J	`jnl`	Coded Merkle Tree: Solving Data Availability Attacks in Blockchains. CoRR Mingchao Yu, Saeid Sahraei, Songze Li, Salman Avestimehr, Sreeram Kannan, Pramod Viswanath
2019	J	`jnl`	Coded Merkle Tree: Solving Data Availability Attacks in Blockchains. IACR Cryptol. ePrint Arch. Mingchao Yu, Saeid Sahraei, Songze Li, Salman Avestimehr, Sreeram Kannan, Pramod Viswanath
2019	A*	`conf`	Coded State Machine - Scaling State Machine Execution under Byzantine Faults. PODC Songze Li, Saeid Sahraei, Mingchao Yu, Salman Avestimehr, Sreeram Kannan, Pramod Viswanath
2019	J	`jnl`	Coded State Machine - Scaling State Machine Execution under Byzantine Faults. CoRR Songze Li, Saeid Sahraei, Mingchao Yu, Salman Avestimehr, Sreeram Kannan, Pramod Viswanath
2019	A	`conf`	Lagrange Coded Computing: Optimal Design for Resiliency, Security, and Privacy. AISTATS Qian Yu, Songze Li, Netanel Raviv, Seyed Mohammadreza Mousavi Kalan, Mahdi Soltanolkotabi, Amir Salman Avestimehr
2018	J	`jnl`	A Fundamental Tradeoff Between Computation and Communication in Distributed Computing. IEEE Trans. Inf. Theory Songze Li, Mohammad Ali Maddah-Ali, Qian Yu, Amir Salman Avestimehr
2018	B	`conf`	Compressed Coded Distributed Computing. ISIT Songze Li, Mohammad Ali Maddah-Ali, Amir Salman Avestimehr
2018	J	`jnl`	Compressed Coded Distributed Computing. CoRR Songze Li, Mohammad Ali Maddah-Ali, Amir Salman Avestimehr
2018	A*	`conf`	GradiVeQ: Vector Quantization for Bandwidth-Efficient Gradient Aggregation in Distributed CNN Training. NeurIPS Mingchao Yu, Zhifeng Lin, Krishna Narra, Songze Li, Youjie Li, Nam Sung Kim, Alexander G. Schwing, Murali Annavaram, Salman Avestimehr
2018	J	`jnl`	GradiVeQ: Vector Quantization for Bandwidth-Efficient Gradient Aggregation in Distributed CNN Training. CoRR Mingchao Yu, Zhifeng Lin, Krishna Narra, Songze Li, Youjie Li, Nam Sung Kim, Alexander G. Schwing, Murali Annavaram, Salman Avestimehr
2018	—	`conf`	Near-Optimal Straggler Mitigation for Distributed Gradient Methods. IPDPS Workshops Songze Li, Seyed Mohammadreza Mousavi Kalan, Amir Salman Avestimehr, Mahdi Soltanolkotabi
2018	A*	`conf`	Pipe-SGD: A Decentralized Pipelined SGD Framework for Distributed Deep Net Training. NeurIPS Youjie Li, Mingchao Yu, Songze Li, Salman Avestimehr, Nam Sung Kim, Alexander G. Schwing
2018	J	`jnl`	Pipe-SGD: A Decentralized Pipelined SGD Framework for Distributed Deep Net Training. CoRR Youjie Li, Mingchao Yu, Songze Li, Salman Avestimehr, Nam Sung Kim, Alexander G. Schwing
2018	J	`jnl`	PolyShard: Coded Sharding Achieves Linearly Scaling Efficiency and Security Simultaneously. CoRR Songze Li, Mingchao Yu, Salman Avestimehr, Sreeram Kannan, Pramod Viswanath
2018	J	`jnl`	PolyShard: Coded Sharding Achieves Linearly Scaling Efficiency and Security Simultaneously. IACR Cryptol. ePrint Arch. Songze Li, Mingchao Yu, Amir Salman Avestimehr, Sreeram Kannan, Pramod Viswanath
2018	J	`jnl`	Polynomially Coded Regression: Optimal Straggler Mitigation via Data Encoding. CoRR Songze Li, Seyed Mohammadreza Mousavi Kalan, Qian Yu, Mahdi Soltanolkotabi, Amir Salman Avestimehr
2017	J	`jnl`	A Scalable Framework for Wireless Distributed Computing. IEEE/ACM Trans. Netw. Songze Li, Qian Yu, Mohammad Ali Maddah-Ali, Amir Salman Avestimehr
2017	—	`conf`	Architectures for coded mobile edge computing. FWC Songze Li, Mohammad Ali Maddah-Ali, Amir Salman Avestimehr
2017	—	`conf`	Coded TeraSort. IPDPS Workshops Songze Li, Sucha Supittayapornpong, Mohammad Ali Maddah-Ali, Salman Avestimehr
2017	J	`jnl`	Coded TeraSort. CoRR Songze Li, Sucha Supittayapornpong, Mohammad Ali Maddah-Ali, Amir Salman Avestimehr
2017	J	`jnl`	Coding for Distributed Fog Computing. IEEE Commun. Mag. Songze Li, Mohammad Ali Maddah-Ali, Amir Salman Avestimehr
2017	J	`jnl`	Coding for Distributed Fog Computing. CoRR Songze Li, Mohammad Ali Maddah-Ali, Amir Salman Avestimehr
2017	J	`jnl`	Communication-Aware Computing for Edge Processing. CoRR Songze Li, Mohammad Ali Maddah-Ali, Amir Salman Avestimehr
2017	B	`conf`	Communication-aware computing for edge processing. ISIT Songze Li, Mohammad Ali Maddah-Ali, Amir Salman Avestimehr
2017	J	`jnl`	How to Optimally Allocate Resources for Coded Distributed Computing? CoRR Qian Yu, Songze Li, Mohammad Ali Maddah-Ali, Amir Salman Avestimehr
2017	—	`conf`	How to optimally allocate resources for coded distributed computing? ICC Qian Yu, Songze Li, Mohammad Ali Maddah-Ali, Amir Salman Avestimehr
2017	J	`jnl`	Near-Optimal Straggler Mitigation for Distributed Gradient Methods. CoRR Songze Li, Seyed Mohammadreza Mousavi Kalan, Amir Salman Avestimehr, Mahdi Soltanolkotabi
2016	J	`jnl`	A Fundamental Tradeoff between Computation and Communication in Distributed Computing. CoRR Songze Li, Mohammad Ali Maddah-Ali, Qian Yu, Amir Salman Avestimehr
2016	J	`jnl`	A Scalable Framework for Wireless Distributed Computing. CoRR Songze Li, Qian Yu, Mohammad Ali Maddah-Ali, Amir Salman Avestimehr
2016	—	`conf`	A Unified Coding Framework for Distributed Computing with Straggling Servers. GLOBECOM Workshops Songze Li, Mohammad Ali Maddah-Ali, Amir Salman Avestimehr
2016	J	`jnl`	A Unified Coding Framework for Distributed Computing with Straggling Servers. CoRR Songze Li, Mohammad Ali Maddah-Ali, Amir Salman Avestimehr
2016	—	`conf`	Coded Distributed Computing: Straggling Servers and Multistage Dataflows. Allerton Songze Li, Mohammad Ali Maddah-Ali, Amir Salman Avestimehr
2016	Misc	`conf`	Coded distributed computing: Fundamental limits and practical challenges. ACSSC Songze Li, Qian Yu, Mohammad Ali Maddah-Ali, Amir Salman Avestimehr
2016	B	`conf`	Edge-Facilitated Wireless Distributed Computing. GLOBECOM Songze Li, Qian Yu, Mohammad Ali Maddah-Ali, Amir Salman Avestimehr
2016	B	`conf`	Fundamental tradeoff between computation and communication in distributed computing. ISIT Songze Li, Mohammad Ali Maddah-Ali, Amir Salman Avestimehr
2016	Misc	`conf`	Poster Abstract: A Scalable Coded Computing Framework for Edge-Facilitated Wireless Distributed Computing. SEC Songze Li, Qian Yu, Mohammad Ali Maddah-Ali, Amir Salman Avestimehr
2016	J	`jnl`	Rover-to-Orbiter Communication in Mars: Taking Advantage of the Varying Topology. IEEE Trans. Commun. Songze Li, David T. H. Kao, Amir Salman Avestimehr
2015	—	`conf`	Coded MapReduce. Allerton Songze Li, Mohammad Ali Maddah-Ali, Amir Salman Avestimehr
2015	J	`jnl`	Coded MapReduce. CoRR Songze Li, Mohammad Ali Maddah-Ali, Amir Salman Avestimehr
2015	J	`jnl`	Rover-to-Orbiter Communication in Mars: Taking Advantage of the Varying Topology. CoRR Songze Li, David T. H. Kao, Amir Salman Avestimehr
2015	B	`conf`	Rover-to-orbiter communication in Mars: Taking advantage of the varying topology. ISIT Songze Li, David T. H. Kao, Amir Salman Avestimehr
2014	Misc	`conf`	Power allocation for Gaussian multiple access channel with noisy cooperative links. ICASSP Songze Li, Emrah Akyol, Urbashi Mitra
2014	—	`conf`	Scalable Prototype Learning Using GPUs. ICIAR (1) Tonghua Su, Songze Li, Peijun Ma, Shengchun Deng, Guangsheng Liang
2013	Misc	`conf`	Cooperative spectrum sharing with joint receiver decoding. ICASSP Songze Li, Urbashi Mitra, Ashish Pandharipande
2012	Misc	`conf`	Jointly cooperative decode-and-forward relaying for secondary spectrum access. CISS Songze Li, Urbashi Mitra, Vishnu V. Ratnam, Ashish Pandharipande