PPaperPicks

Xianglong Liu

Beihang University, State Key Laboratory of Software Development Environment, Beijing, China

56 papers at tracked venues · 51 at CORE A* · active 2024–2026

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Venues

ACL ×11AAAI ×8CVPR ×8ICML ×7ACM MM ×6NeurIPS ×6EMNLP ×3ICLR ×2IJCAI ×2WWW ×2ICCV ×1

Frequent coauthors

Zhange Zhang
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Xingyu Zheng
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Jian Yang
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Zonghao Ying
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Yanni Xue
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Yifu Ding
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Jinyang Guo
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Simin Li
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Yushi Huang
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Wei Huang
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Ruihao Gong
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Haojie Hao
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Papers

  1. Activation Manipulation Attack: Penetrating and Harmful Jailbreak Attack Against Large Vision-Language Models
    AAAI 2026 ·
    Haojie Hao
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  2. Adversarial Generation and Collaborative Evolution of Safety-Critical Scenarios for Autonomous Vehicles
    AAAI 2026 ·
    Jiangfan Liu
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  3. CASE: Conflict-assessed Knowledge-sensitive Neuron Tuning for Lifelong Model Editing
    WWW 2026 ·
    Zhange Zhang
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  4. CMedBench: A Comprehensive Benchmark for Efficient Medical Large Language Models
    AAAI 2026 ·
    Shengbo Gao
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  5. Context as a Tool: Context Management for Long-Horizon SWE-Agents
    ACL 2026 ·
    Shukai Liu
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  6. First-Order Error Matters: Accurate Compensation for Quantized Large Language Models
    AAAI 2026 ·
    Xingyu Zheng
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  7. FrontCoder: Scaling Visual Fidelity in Front-End Code Generation
    ACL 2026 ·
    Jun Feng
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  8. Half-S: Halving the Scale for Near-Lossless 4-Bit LLM Training
    ACL 2026 ·
    Jinyang Du
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  9. LoopCoder: Scaling Code Intelligence via Looped Language Models
    ACL 2026 ·
    Jian Yang
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  10. Query-Routed Activation Editing with Truth-hierarchical Preference Optimization
    AAAI 2026 ·
    Kewei Liao
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  11. Scaling Laws for Code: Every Programming Language Matters
    ACL 2026 ·
    Jian Yang
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  12. SecureWebArena: A Holistic Security Evaluation Benchmark for LVLM-based Web Agents
    ACL 2026 ·
    Zonghao Ying
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  13. UCoder: Unsupervised Code Generation by Internal Probing of Large Language Models
    ACL 2026 ·
    Jiajun Wu
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  14. Uncovering Strategic Egoism Behaviors in Large Language Models
    ACL 2026 ·
    Yaoyuan Zhang
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  15. AtomNet: Designing Tiny Models from Operators Under Extreme MCU Constraints
    AAAI 2025 ·
    Zhiwei Dong
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  16. BinaryDM: Accurate Weight Binarization for Efficient Diffusion Models
    ICLR 2025 ·
    Xingyu Zheng
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  17. Conflict-Aware Knowledge Editing in the Wild: Semantic-Augmented Graph Representation for Unstructured Text
    NeurIPS 2025 ·
    Zhange Zhang
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  18. Continuous Diffusive Prediction Network for Multi-Station Weather Prediction
    IJCAI 2025 ·
    Chujie Xu
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  19. DA-KD: Difficulty-Aware Knowledge Distillation for Efficient Large Language Models
    ICML 2025 ·
    Changyi He
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  20. Detoxifying Large Language Models via Autoregressive Reward Guided Representation Editing
    NeurIPS 2025 ·
    Yisong Xiao
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  21. Dual Intention Escape: Penetrating and Toxic Jailbreak Attack against Large Language Models
    WWW 2025 ·
    Yanni Xue
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  22. Dual-view X-ray Detection: Can AI Detect Prohibited Items from Dual-view X-ray Images like Humans?
    CVPR 2025 ·
    Renshuai Tao
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  23. Dynamic Parallel Tree Search for Efficient LLM Reasoning
    ACL 2025 ·
    Yifu Ding
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  24. ECLR'25: 2nd Workshop on Efficient Computing Under Limited Resources: Visual Computing
    ICCV 2025 ·
    Jinyang Guo
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  25. Empirical Study on Robustness and Resilience in Cooperative Multi-Agent Reinforcement Learning
    NeurIPS 2025 ·
    Simin Li
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  26. Exploring Semantic-constrained Adversarial Example with Instruction Uncertainty Reduction
    NeurIPS 2025 ·
    Jin Hu
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  27. HarmoniCa: Harmonizing Training and Inference for Better Feature Caching in Diffusion Transformer Acceleration
    ICML 2025 ·
    Yushi Huang
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  28. Harnessing Global-Local Collaborative Adversarial Perturbation for Anti-Customization
    CVPR 2025 ·
    Long Xu
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  29. Lexical Diversity-aware Relevance Assessment for Retrieval-Augmented Generation
    ACL 2025 ·
    Zhange Zhang
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  30. Manipulating Multimodal Agents via Cross-Modal Prompt Injection
    ACM MM 2025 ·
    Le Wang
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  31. MetAdv: A Unified and Interactive Adversarial Testing Platform for Autonomous Driving
    ACM MM 2025 ·
    Aishan Liu
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  32. Reasoning-Augmented Conversation for Multi-Turn Jailbreak Attacks on Large Language Models
    EMNLP 2025 ·
    Zonghao Ying
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  33. SliM-LLM: Salience-Driven Mixed-Precision Quantization for Large Language Models
    ICML 2025 ·
    Wei Huang
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  34. Token-Aware Editing of Internal Activations for Large Language Model Alignment
    EMNLP 2025 ·
    Tianbo Wang
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  35. Accurate LoRA-Finetuning Quantization of LLMs via Information Retention
    ICML 2024 ·
    Haotong Qin
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  36. BiDM: Pushing the Limit of Quantization for Diffusion Models
    NeurIPS 2024 ·
    Xingyu Zheng
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  37. BiLLM: Pushing the Limit of Post-Training Quantization for LLMs
    ICML 2024 ·
    Wei Huang
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  38. Byzantine Robust Cooperative Multi-Agent Reinforcement Learning as a Bayesian Game
    ICLR 2024 ·
    Simin Li
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  39. Compressing Large Language Models by Joint Sparsification and Quantization
    ICML 2024 ·
    Jinyang Guo
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  40. DB-LLM: Accurate Dual-Binarization for Efficient LLMs
    ACL 2024 ·
    Hong Chen
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  41. Fast and Controllable Post-training Sparsity: Learning Optimal Sparsity Allocation with Global Constraint in Minutes
    AAAI 2024 ·
    Ruihao Gong
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  42. Flexible Residual Binarization for Image Super-Resolution
    ICML 2024 ·
    Yulun Zhang
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  43. LLMC: Benchmarking Large Language Model Quantization with a Versatile Compression Toolkit
    EMNLP 2024 ·
    Ruihao Gong
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  44. LLMCBench: Benchmarking Large Language Model Compression for Efficient Deployment
    NeurIPS 2024 ·
    Ge Yang
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  45. LTA-PCS: Learnable Task-Agnostic Point Cloud Sampling
    CVPR 2024 ·
    Jiaheng Liu
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  46. LanEvil: Benchmarking the Robustness of Lane Detection to Environmental Illusions
    ACM MM 2024 ·
    Tianyuan Zhang
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  47. NAPGuard: Towards Detecting Naturalistic Adversarial Patches
    CVPR 2024 ·
    Siyang Wu
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  48. PTQ4SAM: Post-Training Quantization for Segment Anything
    CVPR 2024 ·
    Chengtao Lv
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  49. PTSBench: A Comprehensive Post-Training Sparsity Benchmark Towards Algorithms and Models
    ACM MM 2024 ·
    Zining Wang
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  50. QVD: Post-training Quantization for Video Diffusion Models
    ACM MM 2024 ·
    Shilong Tian
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  51. Reg-PTQ: Regression-specialized Post-training Quantization for Fully Quantized Object Detector
    CVPR 2024 ·
    Yifu Ding
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  52. Scene-adaptive and Region-aware Multi-modal Prompt for Open Vocabulary Object Detection
    CVPR 2024 ·
    Xiaowei Zhao
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  53. Selective Focus: Investigating Semantics Sensitivity in Post-training Quantization for Lane Detection
    AAAI 2024 ·
    Yunqian Fan
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  54. TFMQ-DM: Temporal Feature Maintenance Quantization for Diffusion Models
    CVPR 2024 ·
    Yushi Huang
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  55. Towards Robust Physical-world Backdoor Attacks on Lane Detection
    ACM MM 2024 ·
    Xinwei Zhang
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  56. Vision-fused Attack: Advancing Aggressive and Stealthy Adversarial Text against Neural Machine Translation
    IJCAI 2024 ·
    Yanni Xue
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