conftrace_

Songze Li

21 papers · 2018–2026 · 11 conferences · across top CS/AI conferences

Achievements

Jump to papers ↓
+10 more ↓ πŸƒ Academic Marathon (7) 🧭 Keyword Pioneer πŸŒ‰ Interdisciplinary Bridge 🌍 Conference Polyglot (9) 🐝 Cross-Pollinator (6)
🐝 Cross-Pollinator (6) 🌈 Renaissance Researcher (8) πŸ—ΊοΈ Taxonomy Completionist (33) πŸ† Grand Slam 🧬 Topic Evolution πŸ’Ž Century Club (15) πŸ”₯ Unstoppable (5) ⚑ Prolific Year (7) πŸ“ˆ Trend Setter πŸ—ƒοΈ Keyword Collector (69)

Conferences

ICLR (4) AAAI (3) ACL (3) NIPS (3) ICML (2) AISTATS (1) CVPR (1) ECCV (1) EMNLP (1) ICCV (1) NAACL (1)

Research topics

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