Get started
Author

Qifan Wang

DFVG: A Heterogeneous Architecture for Speculative Decoding with D raft-on- F PGA and V erify-on- G PU
2026 · Shaoqiang Lu, Yangbo Wei, et al. · International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS) · 2
Serve Now or Improve Later? Scheduling Self-Evolution in Online Agent Systems
2026 · Wei, Yangbo, Qian, Junhong, et al. · arXiv (Cornell University)
PDF
Self-Evolving Memory for Generative Recommendation
2026 · Lin, Xinyu, Jiang, Zhuosong, et al. · arXiv (Cornell University)
PDF
Intuition-Guided Latent Reasoning for LLM-Based Recommendation
2026 · Liu, Chang, Bai, Yimeng, et al. · arXiv (Cornell University)
PDF
Beyond Trajectory Imitation: Strategy-Guided Policy Optimization for LLM Reasoning
2026 · Shi, Tianyuan, Huang, Canbin, et al. · arXiv (Cornell University)
PDF
When Model Merging Breaks Routing: Training-Free Calibration for MoE
2026 · Huang, Canbin, Shi, Tianyuan, et al. · arXiv (Cornell University)
PDF
SkillSmith: Co-Evolving Skills and Tools for Self-Improving Agent Systems
2026 · Wei, Yangbo, Huang, Zhen, et al. · arXiv (Cornell University)
PDF
DAG-MoE: From Simple Mixture to Structural Aggregation in Mixture-of-Experts
2026 · Feng, Jiarui, Zeng, Hanqing, et al. · arXiv (Cornell University)
PDF
Reuse, Reduce, Compute: A Similarity-Aware Accelerator for Diffusion Model Inference
2026 · Junhong Qian, Yangbo Wei, et al. · International Symposium of Electronics Design Automation (ISEDA)
Unleashing Implicit Rewards: Prefix-Value Learning for Distribution-Level Optimization
2026 · Gao, Shiping, Chen, Hongzhan, et al. · arXiv (Cornell University)
PDF
CORA: Conformal Risk-Controlled Agents for Safeguarded Mobile GUI Automation
2026 · Feng, Yushi, Du, Junye, et al. · arXiv (Cornell University)
PDF
GLANCE: A Global-Local Coordination Multi-Agent Framework for Music-Grounded Non-Linear Video Editing
2026 · Lin, Zihao, Wang, Haibo, et al. · arXiv (Cornell University)
PDF
DARC: Disagreement-Aware Alignment via Risk-Constrained Decoding
2026 · Zou, Mingxi, Chen, Jiaxiang, et al. · arXiv (Cornell University)
PDF
Verifiable Reasoning for LLM-based Generative Recommendation
2026 · Lin, Xinyu, Zeng, Hanqing, et al. · arXiv (Cornell University)
PDF
IR$^3$: Contrastive Inverse Reinforcement Learning for Interpretable Detection and Mitigation of Reward Hacking
2026 · Beigi, Mohammad, Jin, Ming, et al. · arXiv (Cornell University)
PDF
Rethinking ANN-based Retrieval: Multifaceted Learnable Index for Large-scale Recommendation System
2026 · Zhang, Jiang, Wang, Yubo, et al. · arXiv (Cornell University)
PDF
Bringing Reasoning to Generative Recommendation Through the Lens of Cascaded Ranking
2026 · Lin, Xinyu, Liu, Pengyuan, et al. · arXiv (Cornell University)
PDF
Adversarial Reward Auditing for Active Detection and Mitigation of Reward Hacking
2026 · Beigi, Mohammad, Jin, Ming, et al. · arXiv (Cornell University)
PDF
Teacher-Guided Policy Optimization for On-Policy Reasoning Distillation under Large Policy Divergence
2026 · Xinyu Liu, Kechen Jiao, et al. · Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP)
PDF
Works count: 19
Citation count: 2
H-index: 1
I10-index:
Year
Topic
Type