Yike Guo
Identifiers
- name variant Yike Guo 0.60 · backfill
Papers (41)
- Scaling Multi-Hop Training Data via Graph-Constrained Path Selection cs.CL · 2026 · author #6
- RW-TTT: Batched Serving for Request-Owned Test-Time Training State cs.LG · 2026 · author #7
- IndexMem: Learned KV-Cache Eviction with Latent Memory for Long-Context LLM Inference cs.CL · 2026 · author #9
- MOSS: Self-Evolution through Source-Level Rewriting in Autonomous Agent Systems cs.AI · 2026 · author #8
- Conditional Equivalence of DPO and RLHF: Implicit Assumption, Failure Modes, and Provable Alignment cs.AI · 2026 · author #6
- Attention Hijacking: Response Manipulation Across Queries in Vision-Language Models cs.CV · 2026 · author #7
- NanoResearch: Co-Evolving Skills, Memory, and Policy for Personalized Research Automation cs.AI · 2026 · author #12
- ClawNet: Human-Symbiotic Agent Network for Cross-User Autonomous Cooperation cs.AI · 2026 · author #7
- When Text Hijacks Vision: Benchmarking and Mitigating Text Overlay-Induced Hallucination in Vision Language Models cs.CV · 2026 · author #6
- NVBench: A Benchmark for Speech Synthesis with Non-Verbal Vocalizations cs.SD · 2026 · author #12
- ActorMind: Emulating Human Actor Reasoning for Speech Role-Playing cs.SD · 2026 · author #3
- Audio-Omni: Extending Multi-modal Understanding to Versatile Audio Generation and Editing cs.SD · 2026 · author #11
- Cognitive Pivot Points and Visual Anchoring: Unveiling and Rectifying Hallucinations in Multimodal Reasoning Models cs.AI · 2026 · author #9
- Bit-by-Bit: Progressive QAT Strategy with Outlier Channel Splitting for Stable Low-Bit LLMs cs.LG · 2026 · author #11
- QaRL: Rollout-Aligned Quantization-Aware RL for Fast and Stable Training under Training--Inference Mismatch cs.LG · 2026 · author #12
- Glance-or-Gaze: Incentivizing LMMs to Adaptively Focus Search via Reinforcement Learning cs.CV · 2026 · author #8
- InsightEval: An Expert-Curated Benchmark for Assessing Insight Discovery in LLM-Driven Data Agents cs.AI · 2025 · author #8
- When Slower Isn't Truer: Inverse Scaling Law of Truthfulness in Multimodal Reasoning cs.AI · 2025 · author #8
- BTC-LLM: Efficient Sub-1-Bit LLM Quantization via Learnable Transformation and Binary Codebook cs.LG · 2025 · author #10
- AudioX: A Unified Framework for Anything-to-Audio Generation cs.MM · 2025 · author #9
- Spark-TTS: An Efficient LLM-Based Text-to-Speech Model with Single-Stream Decoupled Speech Tokens cs.SD · 2025 · author #24
- AI Alignment: A Comprehensive Survey cs.AI · 2023 · author #25
- Self-Supervised Learning for Cardiac MR Image Segmentation by Anatomical Position Prediction cs.CV · 2019 · author #7
- Static Activation Function Normalization cs.LG · 2019 · author #2
- Integrating Semantic Knowledge to Tackle Zero-shot Text Classification cs.CL · 2019 · author #3
- Combining learning rate decay and weight decay with complexity gradient descent - Part I cs.LG · 2019 · author #2
- Deep Sequence Learning with Auxiliary Information for Traffic Prediction cs.CV · 2018 · author #7
- Generative Creativity: Adversarial Learning for Bionic Design cs.CV · 2018 · author #5
- The Future of Spreadsheets in the Big Data Era cs.CY · 2018 · author #3
- Dropping Activation Outputs with Localized First-layer Deep Network for Enhancing User Privacy and Data Security cs.CV · 2017 · author #4
- TensorLayer: A Versatile Library for Efficient Deep Learning Development cs.LG · 2017 · author #7
- Semantic Image Synthesis via Adversarial Learning cs.CV · 2017 · author #4
- Deep De-Aliasing for Fast Compressive Sensing MRI cs.CV · 2017 · author #11
- Automatic Brain Tumor Detection and Segmentation Using U-Net Based Fully Convolutional Networks cs.CV · 2017 · author #5
- The Deep Poincar\'e Map: A Novel Approach for Left Ventricle Segmentation cs.CV · 2017 · author #7
- I2T2I: Learning Text to Image Synthesis with Textual Data Augmentation cs.CV · 2017 · author #4
- DeepSleepNet: a Model for Automatic Sleep Stage Scoring based on Raw Single-Channel EEG stat.ML · 2017 · author #4
- Unsupervised Image-to-Image Translation with Generative Adversarial Networks cs.CV · 2017 · author #4
- Mixed Neural Network Approach for Temporal Sleep Stage Classification q-bio.NC · 2016 · author #6
- Automatic Sleep Stage Scoring with Single-Channel EEG Using Convolutional Neural Networks stat.ML · 2016 · author #3
- DropNeuron: Simplifying the Structure of Deep Neural Networks cs.CV · 2016 · author #3
Mentions
- 2605.31238 #6 · arxiv_oai · confidence 0.70 Yike Guo
- 2604.10219 #9 · arxiv_oai · confidence 0.70 Yike Guo
- 2511.22884 #8 · arxiv_oai · confidence 0.70 Yike Guo
- 2605.28053 #7 · arxiv_oai · confidence 0.70 Yike Guo
- 2605.25475 #9 · arxiv_oai · confidence 0.70 Yike Guo
- 2605.22794 #8 · arxiv_oai · confidence 0.70 Yike Guo
- 2605.20834 #6 · arxiv_oai · confidence 0.70 Yike Guo
- 2605.17310 #7 · arxiv_oai · confidence 0.70 Yike Guo
- 2310.19852 #25 · arxiv_oai · confidence 0.70 Yike Guo
- 2503.01710 #24 · arxiv_oai · confidence 0.70 Yike Guo
- 2604.17375 #6 · backfill · confidence 0.70 Yike Guo
Frequent Coauthors
- Hao Dong 11 shared papers
- Sirui Han 10 shared papers
- Wei Xue 9 shared papers
- Chao Wu 7 shared papers
- Qiyuan Zhu 5 shared papers
- Bei Liu 4 shared papers
- Fangde Liu 4 shared papers
- Hao Gu 4 shared papers
- Jiacheng Liu 4 shared papers
- Jingqing Zhang 4 shared papers
- Lujun Li 4 shared papers
- Simiao Yu 4 shared papers
- Yonggang Zhang 4 shared papers
- Akara Supratak 3 shared papers
- Binxing Xu 3 shared papers
- Douglas McIlwraith 3 shared papers
- Guang Yang 3 shared papers
- Hao Wang 3 shared papers
- Jun Song 3 shared papers
- Liumeng Xue 3 shared papers