activity
20242026
most cited2023 Low-Power Computer Vision Challenge (LPCVC) Summary

2 citations · 3 across the 6 of their papers we have counts for

collaborators

7 papers

cs.LG2026

RollVerify: Bridging Efficiency and Accuracy in Long-Tail Rollout Reinforcement Learning

Yongqiang Yao, Jinru Tan, Kaihuan Liang +5

Reinforcement learning is crucial for improving large language models' reasoning and generalization. It relies on massive rollouts whose lengths become increasingly long-tailed as…

cs.CV2026

SenseNova-U1: Unifying Multimodal Understanding and Generation with NEO-unify Architecture

Haiwen Diao, Penghao Wu, Hanming Deng +55

Recent large vision-language models (VLMs) remain fundamentally constrained by a persistent dichotomy: understanding and generation are treated as distinct problems, leading to fra…

cs.SD2025

HH-Codec: High Compression High-fidelity Discrete Neural Codec for Spoken Language Modeling

Rongkun Xue, Yazhe Niu, Shuai Hu +3

Discrete speech tokenization is a fundamental component in speech codecs. However, in large-scale speech-to-speech systems, the complexity of parallel streams from multiple quantiz…

cs.DC2025

TokenSim: Enabling Hardware and Software Exploration for Large Language Model Inference Systems

Feiyang Wu, Zhuohang Bian, Guoyang Duan +6

The increasing demand for large language model (LLM) serving has necessitated significant advancements in the optimization and profiling of LLM inference systems. As these models b…

cs.LG2025★ 1 cited

Hierarchical Balance Packing: Towards Efficient Supervised Fine-tuning for Long-Context LLM

Yongqiang Yao, Jingru Tan, Kaihuan Liang +7

Training Long-Context Large Language Models (LLMs) is challenging, as hybrid training with long-context and short-context data often leads to workload imbalances. Existing works ma…

cs.AI2024

OmniBal: Towards Fast Instruction-Tuning for Vision-Language Models via Omniverse Computation Balance

Yongqiang Yao, Jingru Tan, Feizhao Zhang +8

Vision-language instruction-tuning models have recently achieved significant performance improvements. In this work, we discover that large-scale 3D parallel training on those mode…

cs.CV2024★ 2 cited

2023 Low-Power Computer Vision Challenge (LPCVC) Summary

Leo Chen, Benjamin Boardley, Ping Hu +27

This article describes the 2023 IEEE Low-Power Computer Vision Challenge (LPCVC). Since 2015, LPCVC has been an international competition devoted to tackling the challenge of compu…