Research archive
Publications
Papers and submissions from my Google Scholar and OpenReview profiles. Status labels distinguish accepted papers, active preprints, submitted work, and withdrawn submissions.
14 publications
Training-Free Multimodal Large Language Model Orchestration
A training-free orchestration framework for interactive omni-modal assistants, composing off-the-shelf modality experts through explicit LLM routing, cross-modal memory, and interruption-aware streaming interaction.
A2RBench: An Automatic Paradigm for Formally Verifiable Abstract Reasoning Benchmark Generation
An automatic paradigm for generating abstract reasoning benchmarks with formal verification and scalable answer checking.
Correct While Verifying: Intermediate Target Predictions for Speculative Draft Correction
Uses intermediate target-model states to proactively correct speculative drafts during verification, achieving up to 4.53x speedup over autoregressive decoding.
Event-Anchored Frame Selection for Efficient Long-Video Understanding
A training-free, event-aware frame selection pipeline for efficient long-video understanding.
Mitigating Gradient Interference for Efficient Sparse Fine-Tuning of Large Language Models
Theoretical and practical analysis of gradient interference in sparse PEFT, with an iterative sparse fine-tuning strategy for large language models.
SocialOmni: Benchmarking Audio-Visual Social Interactivity in Omni Models
An audio-visual benchmark for evaluating social interactivity in omni models.
Wavelet-based Frame Selection by Detecting Semantic Boundary for Long Video Understanding
Wavelet-based semantic boundary detection for efficient long-video frame selection.
Event-Anchored Frame Selection for Effective Long-Video Understanding
Event-anchored frame selection for improving the efficiency and coverage of long-video understanding.
CrystaL: Spontaneous Emergence of Visual Latents in MLLMs
Studies the spontaneous emergence of visual latents in multimodal large language models.
An Attention Mechanism-Improved YOLOv7 Object Detection Algorithm for Hemp Duck Count Estimation
Attention-enhanced YOLOv7 for dense hemp duck counting and intelligent livestock monitoring. Included in the full publication list, but not selected as a representative homepage paper.
A Multitask Model for Realtime Fish Detection and Segmentation Based on YOLOv5
A YOLOv5-based multitask model for real-time fish detection and segmentation.
GAM-YOLOv7-tiny and Soft-NMS-AlexNet: Improved Lightweight Sheep Body Object Detection and Pose Estimation Network
Lightweight sheep body detection and pose estimation for practical livestock monitoring.
SDSCNet: An Instance Segmentation Network for Efficient Monitoring of Goose Breeding Conditions
Instance segmentation for efficient monitoring and analysis of goose breeding conditions.
DuckSegmentation: A Segmentation Model Based on the AnYue Hemp Duck Dataset
A duck detection and segmentation dataset/model pipeline for intelligent hemp duck farming.