Songze Li
21 papers · 2018–2026 · 11 conferences · across top CS/AI conferences
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(33)
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(15)
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Conferences
ICLR (4)
AAAI (3)
ACL (3)
NIPS (3)
ICML (2)
AISTATS (1)
CVPR (1)
ECCV (1)
EMNLP (1)
ICCV (1)
NAACL (1)
Top co-authors
Research topics
Keywords
federated learning
(4)
backdoor attack
(3)
contrastive learning
(3)
privacy preservation
(2)
straggler mitigation
(2)
distributed learning
(2)
distributed training
(2)
large language model
(2)
knowledge distillation
(1)
gradient aggregation
(1)
self-supervised learning
(1)
knowledge graph question answering
(1)
text representation
(1)
multimodal learning
(1)
adversarial learning
(1)
vector quantization
(1)
neural network optimization
(1)
question answering
(1)
feature space
(1)
semantic alignment
(1)
Papers
ASTRA: Adaptive Semantic Tree Reasoning Architecture for Complex Table Question Answering
ACL 2026
CoG: Controllable Graph Reasoning via Relational Blueprints and Failure-Aware Refinement over Knowledge Graphs
ACL 2026
Tackling Resource-Constrained and Data-Heterogeneity in Federated Learning with Double-Weight Sparse Pack
AAAI 2026
Temp-R1: A Unified Autonomous Agent for Complex Temporal KGQA via Reverse Curriculum Reinforcement Learning
ACL 2026
DoBlock: Blocking Malicious Association Propagation for Backdoor-Robust Federated Learning Under Domain Skew
AAAI 2026
Ellipsoid-Based Decision Boundaries for Open Intent Classification
AAAI 2026
Bootstrapping Language-Guided Navigation Learning with Self-Refining Data Flywheel
ICLR 2025
DeDe: Detecting Backdoor Samples for SSL Encoders via Decoders
CVPR 2025
Enrich-on-Graph: Query-Graph Alignment for Complex Reasoning with LLM Enriching
EMNLP 2025
VRBench: A Benchmark for Multi-Step Reasoning in Long Narrative Videos
ICCV 2025
Agent-Oriented Planning in Multi-Agent Systems
ICLR 2025
TimeSuite: Improving MLLMs for Long Video Understanding via Grounded Tuning
ICLR 2025
TUNI: A Textual Unimodal Detector for Identity Inference in CLIP Models
NAACL 2025
Constructing Adversarial Examples for Vertical Federated Learning: Optimal Client Corruption through Multi-Armed Bandit
ICLR 2024
InternVideo2: Scaling Foundation Models for Multimodal Video Understanding
ECCV 2024
Chameleon: Adapting to Peer Images for Planting Durable Backdoors in Federated Learning
ICML 2023
FedVS: Straggler-Resilient and Privacy-Preserving Vertical Federated Learning for Split Models
ICML 2023
DReS-FL: Dropout-Resilient Secure Federated Learning for Non-IID Clients via Secret Data Sharing
NIPS 2022
Lagrange Coded Computing: Optimal Design for Resiliency, Security, and Privacy
AISTATS 2019
GradiVeQ: Vector Quantization for Bandwidth-Efficient Gradient Aggregation in Distributed CNN Training
NIPS 2018
Pipe-SGD: A Decentralized Pipelined SGD Framework for Distributed Deep Net Training
NIPS 2018