Publications (15)
Federated Latent Factor Learning for Recovering Wireless Sensor Networks Signal with Privacy-Preserving
Chengjun Yu, Yixin Ran, Yangyi Xia +2
Wireless Sensor Networks (WSNs) are a cutting-edge domain in the field of intelligent sensing. Due to sensor failures and energy-saving strategies, the collected data often have ma…
Effects of shallow carbon and deep N++ layer on the radiation hardness of IHEP-IME LGAD sensors
Mengzhao Li, Yunyun Fan, Xuewei Jia +23
Low Gain Avalanche Diode (LGAD) is applied for the High-Granularity Timing Detector (HGTD), and it will be used to upgrade the ATLAS experiment. The first batch IHEP-IME LGAD senso…
MindGPT-4ov: An Enhanced MLLM via a Multi-Stage Post-Training Paradigm
Wei Chen, Chaoqun Du, Feng Gu +14
We present MindGPT-4ov, a multimodal large language model (MLLM) that introduces a general post-training paradigm spanning data production, model training, and efficient deployment…
FLFL: Federated Latent Factor Learning for Private Recovery of Spatio-Temporal Signals
Chengjun Yu, Di Wu, Yi He +1
Wireless sensor network (WSNs) stands out as a burgeoning and promising domain in intelligent sensing. Owing to various factors such as sudden sensor malfunctions or deliberate shu…
StreamingClaw Technical Report
Jiawei Chen, Zhe Chen, Chaoqun Du +21
Emerging applications such as embodied intelligence, AI hardware, autonomous driving, and intelligent cockpits rely on a real-time perception-decision-action closed loop, posing st…
EXPLORE-Bench: Egocentric Scene Prediction with Long-Horizon Reasoning
Chengjun Yu, Xuhan Zhu, Chaoqun Du +4
Multimodal large language models (MLLMs) are increasingly considered as a foundation for embodied agents, yet it remains unclear whether they can reliably reason about the long-ter…
Search More, Think Less: Rethinking Long-Horizon Agentic Search for Efficiency and Generalization
Qianben Chen, Tianrui Qin, King Zhu +21
Recent deep research agents primarily improve performance by scaling reasoning depth, but this leads to high inference cost and latency in search-intensive scenarios. Moreover, gen…
EgoChoir: Capturing 3D Human-Object Interaction Regions from Egocentric Views
Yuhang Yang, Wei Zhai, Chengfeng Wang +3
Understanding egocentric human-object interaction (HOI) is a fundamental aspect of human-centric perception, facilitating applications like AR/VR and embodied AI. For the egocentri…
The performance of IHEP-NDL LGAD sensors after neutron irradiation
Mengzhao Li, Yunyun Fan, Bo Liu +20
The performances of Low Gain Avalanche diode (LGAD) sensors from a neutron irradiation campaign with fluences of 0.8 x 10^15, 15 x 10^15 and 2.5 x 10^15 neq/cm2 are reported in thi…
Leakage current simulations of Low Gain Avalanche Diode with improved Radiation Damage Modeling
Tao Yang, Kewei Wu, Mei Zhao +24
We report precise TCAD simulations of IHEP-IME-v1 Low Gain Avalanche Diode (LGAD) calibrated by secondary ion mass spectroscopy (SIMS). Our setup allows us to evaluate the leakage…
Design and testing of LGAD sensor with shallow carbon implantation
Kewei Wu, Xuewei Jia, Tao Yang +26
The low gain avalanche detectors (LGADs) are thin sensors with fast charge collection which in combination with internal gain deliver an outstanding time resolution of about 30 ps.…
Characterization of the response of IHEP-IME LGAD with shallow carbon to Gamma Irradiation
Weiyi Sun, Yunyun Fan, Mei Zhao +12
Low Gain Avalanche Detectors (LGAD) for the High-Granularity Timing Detector (HGTD) are crucial in reducing pileups in the High-Luminosity Large Hadron Collider. Numerous studies h…
The performance of large-pitch AC-LGAD with different N+ dose
Mengzhao Li, Weiyi Sun, Zhijun Liang +13
AC-Coupled LGAD (AC-LGAD) is a new 4D detector developed based on the Low Gain Avalanche Diode (LGAD) technology, which can accurately measure the time and spatial information of p…
Self-Consistent Latent Reasoning: Long Latent Sequence Reasoning for Vision-Language Model
Chenfeng Wang, Wei He, Xuhan Zhu +10
In language reasoning, longer chains of thought consistently yield better performance, which naturally suggests that visual latent reasoning may likewise benefit from longer latent…
HERO: Human Reaction Generation from Videos
Chengjun Yu, Wei Zhai, Yuhang Yang +2
Human reaction generation represents a significant research domain for interactive AI, as humans constantly interact with their surroundings. Previous works focus mainly on synthes…