activity
20242026
collaborators

6 papers

cs.CL2026

GALA: Generation-Aware Cross-Modal Alignment for Text-to-Time-Series Synthesis

Haochen Zhang, Gengwei Zhang, Laura Yao +2

Synthesizing time series from natural language is emerging as the most expressive form of controllable time series generation. However, existing text-conditioned generators either…

cs.CV2026

RefineAny3D: Depth Refinement as Semantic Alignment for Monocular 3D Detection

Zhihao Zhang, Gengwei Zhang, Tianlong Chen +1

Monocular 3D object detection spans two regimes: closed-set detectors operating within a fixed category vocabulary, and open-vocabulary detectors that localize arbitrary categories…

cs.LG2026

Understanding the Role of Hallucination in Reinforcement Post-Training of Multimodal Reasoning Models

Gengwei Zhang, Jie Peng, Zhen Tan +6

The recent success of reinforcement learning (RL) in large reasoning models has inspired the growing adoption of RL for post-training Multimodal Large Language Models (MLLMs) to en…

cs.CV2025

M4V: Multimodal Mamba for Efficient Text-to-Video Generation

Jiancheng Huang, Gengwei Zhang, Zequn Jie +5

Text-to-video generation has significantly enriched content creation and holds the potential to evolve into powerful world simulators. However, modeling the vast spatiotemporal spa…

cs.CV2025

FlexVAR: Flexible Visual Autoregressive Modeling without Residual Prediction

Siyu Jiao, Gengwei Zhang, Yinlong Qian +6

This work challenges the residual prediction paradigm in visual autoregressive modeling and presents FlexVAR, a new Flexible Visual AutoRegressive image generation paradigm. FlexVA…

cs.CV2024

SLCA++: Unleash the Power of Sequential Fine-tuning for Continual Learning with Pre-training

Gengwei Zhang, Liyuan Wang, Guoliang Kang +2

In recent years, continual learning with pre-training (CLPT) has received widespread interest, instead of its traditional focus of training from scratch. The use of strong pre-trai…