Li, Songze

13 publications

ICLR 2025 Agent-Oriented Planning in Multi-Agent Systems Ao Li, Yuexiang Xie, Songze Li, Fugee Tsung, Bolin Ding, Yaliang Li
ICLR 2025 Bootstrapping Language-Guided Navigation Learning with Self-Refining Data Flywheel Zun Wang, Jialu Li, Yicong Hong, Songze Li, Kunchang Li, Shoubin Yu, Yi Wang, Yu Qiao, Yali Wang, Mohit Bansal, Limin Wang
CVPR 2025 DeDe: Detecting Backdoor Samples for SSL Encoders via Decoders Sizai Hou, Songze Li, Duanyi Yao
ICLR 2025 TimeSuite: Improving MLLMs for Long Video Understanding via Grounded Tuning 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
ICCV 2025 VRBench: A Benchmark for Multi-Step Reasoning in Long Narrative Videos 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
ICLR 2024 Constructing Adversarial Examples for Vertical Federated Learning: Optimal Client Corruption Through Multi-Armed Bandit Duanyi Yao, Songze Li, Ye Xue, Jin Liu
ECCV 2024 InternVideo2: Scaling Foundation Models for Multimodal Video Understanding 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
ICML 2023 Chameleon: Adapting to Peer Images for Planting Durable Backdoors in Federated Learning Yanbo Dai, Songze Li
ICML 2023 FedVS: Straggler-Resilient and Privacy-Preserving Vertical Federated Learning for Split Models Songze Li, Duanyi Yao, Jin Liu
NeurIPS 2022 DReS-FL: Dropout-Resilient Secure Federated Learning for Non-IID Clients via Secret Data Sharing Jiawei Shao, Yuchang Sun, Songze Li, Jun Zhang
AISTATS 2019 Lagrange Coded Computing: Optimal Design for Resiliency, Security, and Privacy Qian Yu, Songze Li, Netanel Raviv, Seyed Mohammadreza Mousavi Kalan, Mahdi Soltanolkotabi, Salman A. Avestimehr
NeurIPS 2018 GradiVeQ: Vector Quantization for Bandwidth-Efficient Gradient Aggregation in Distributed CNN Training Mingchao Yu, Zhifeng Lin, Krishna Narra, Songze Li, Youjie Li, Nam Sung Kim, Alexander Schwing, Murali Annavaram, Salman Avestimehr
NeurIPS 2018 Pipe-SGD: A Decentralized Pipelined SGD Framework for Distributed Deep Net Training Youjie Li, Mingchao Yu, Songze Li, Salman Avestimehr, Nam Sung Kim, Alexander Schwing