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Tongliang Liu

Identifiers

  • name variant Tongliang Liu 0.60 · backfill

Papers (46)

  1. Exploring the Design Space of Reward Backpropagation for Flow Matching cs.LG · 2026 · author #5
  2. Causal Ensemble Agent: Hierarchical Causal Discovery with LLM-guided Expert Reweighting cs.LG · 2026 · author #7
  3. AnisoLift: Anisotropic Latent Representations for Coarse Particle Liquid Enhancement cs.GR · 2026 · author #7
  4. The Easy, the Hard, and the Learnable: Confidence and Difficulty-Adaptive Policy Optimization for LLM Reasoning cs.LG · 2026 · author #5
  5. AgentHijack: Benchmarking Computer Use Agent Robustness to Common Environment Corruptions cs.AI · 2026 · author #4
  6. Rethinking How to Remember: Beyond Atomic Facts in Lifelong LLM Agent Memory cs.CL · 2026 · author #4
  7. Beyond Individual Intelligence: Surveying Collaboration, Failure Attribution, and Self-Evolution in LLM-based Multi-Agent Systems cs.AI · 2026 · author #18
  8. OmniLiDAR: A Unified Diffusion Framework for Multi-Domain 3D LiDAR Generation cs.CV · 2026 · author #11
  9. Building a physics-aware AI ecosystem for solid-state hydrogen storage materials cond-mat.mtrl-sci · 2026 · author #42
  10. Rethinking Model Selection in VLM Through the Lens of Gromov-Wasserstein Distance cs.CV · 2026 · author #6
  11. SubFlow: Sub-mode Conditioned Flow Matching for Diverse One-Step Generation cs.LG · 2026 · author #6
  12. Omnimodal Dataset Distillation via High-order Proxy Alignment cs.CV · 2026 · author #4
  13. Stealthy and Adjustable Text-Guided Backdoor Attacks on Multimodal Pretrained Models cs.CR · 2026 · author #6
  14. WRF4CIR: Weight-Regularized Fine-Tuning Network for Composed Image Retrieval cs.CV · 2026 · author #4
  15. Immunizing 3D Gaussian Generative Models Against Unauthorized Fine-Tuning via Attribute-Space Traps cs.CV · 2026 · author #10
  16. RDSplat: Robust Watermarking for 3D Gaussian Splatting Against 2D and 3D Diffusion Editing cs.CV · 2025 · author #6
  17. Reinforcement Learning with Verifiable yet Noisy Rewards under Imperfect Verifiers cs.LG · 2025 · author #4
  18. Advances and Challenges in Foundation Agents: From Brain-Inspired Intelligence to Evolutionary, Collaborative, and Safe Systems cs.AI · 2025 · author #30
  19. Safety at Scale: A Comprehensive Survey of Large Model and Agent Safety cs.CR · 2025 · author #31
  20. Learning Locally, Revising Globally: Global Reviser for Federated Learning with Noisy Labels cs.LG · 2024 · author #6
  21. DeepInception: Hypnotize Large Language Model to Be Jailbreaker cs.LG · 2023 · author #5
  22. Truncated Cauchy Non-negative Matrix Factorization cs.LG · 2019 · author #2
  23. DistillHash: Unsupervised Deep Hashing by Distilling Data Pairs cs.CV · 2019 · author #2
  24. dipIQ: Blind Image Quality Assessment by Learning-to-Rank Discriminable Image Pairs cs.CV · 2019 · author #3
  25. Transferring Knowledge Fragments for Learning Distance Metric from A Heterogeneous Domain stat.ML · 2019 · author #3
  26. Multi-View Matrix Completion for Multi-Label Image Classification stat.ML · 2019 · author #2
  27. Decomposition-Based Transfer Distance Metric Learning for Image Classification cs.CV · 2019 · author #2
  28. Fast Supervised Discrete Hashing cs.LG · 2019 · author #2
  29. Supervised Discrete Hashing with Relaxation cs.LG · 2019 · author #2
  30. A Regularization Approach for Instance-Based Superset Label Learning cs.CV · 2019 · author #2
  31. On Better Exploring and Exploiting Task Relationships in Multi-Task Learning: Joint Model and Feature Learning cs.LG · 2019 · author #3
  32. Why ResNet Works? Residuals Generalize stat.ML · 2019 · author #2
  33. Robust Angular Local Descriptor Learning cs.CV · 2019 · author #3
  34. An Optimal Transport View on Generalization stat.ML · 2018 · author #2
  35. Domain Generalization via Conditional Invariant Representation cs.LG · 2018 · author #4
  36. Bayesian Quantum Circuit quant-ph · 2018 · author #2
  37. An Information-Theoretic View for Deep Learning stat.ML · 2018 · author #2
  38. Quantum Divide-and-Conquer Anchoring for Separable Non-negative Matrix Factorization quant-ph · 2018 · author #2
  39. Learning with Biased Complementary Labels stat.ML · 2017 · author #2
  40. Transfer Learning with Label Noise stat.ML · 2017 · author #2
  41. Algorithmic stability and hypothesis complexity stat.ML · 2017 · author #1
  42. Deep Blur Mapping: Exploiting High-Level Semantics by Deep Neural Networks cs.CV · 2016 · author #3
  43. Elastic Net Hypergraph Learning for Image Clustering and Semi-supervised Classification cs.CV · 2016 · author #4
  44. Dimensionality-Dependent Generalization Bounds for $k$-Dimensional Coding Schemes stat.ML · 2016 · author #1
  45. Classification with Noisy Labels by Importance Reweighting stat.ML · 2014 · author #1
  46. Local Rademacher Complexity for Multi-label Learning stat.ML · 2014 · author #2

Mentions

  • 2606.11075 #5 · arxiv_oai · confidence 0.70 Tongliang Liu
  • 2606.10607 #7 · arxiv_oai · confidence 0.70 Tongliang Liu
  • 2606.10473 #7 · arxiv_oai · confidence 0.70 Tongliang Liu
  • 2606.07950 #5 · arxiv_oai · confidence 0.70 Tongliang Liu
  • 1411.7718 #1 · backfill · confidence 0.70 Tongliang Liu
  • 1410.6990 #2 · backfill · confidence 0.70 Tongliang Liu
  • 2412.00452 #6 · arxiv_oai · confidence 0.70 Tongliang Liu
  • 2605.25707 #4 · arxiv_oai · confidence 0.70 Tongliang Liu
  • 2510.00915 #4 · arxiv_oai · confidence 0.70 Tongliang Liu
  • 2605.19952 #4 · arxiv_oai · confidence 0.70 Tongliang Liu
  • 2605.14892 #18 · arxiv_oai · confidence 0.70 Tongliang Liu
  • 2311.03191 #5 · arxiv_oai · confidence 0.70 Tongliang Liu
  • 2504.01990 #30 · arxiv_oai · confidence 0.70 Tongliang Liu

Frequent Coauthors