activity
20242026
most citedAn overview of domain-specific foundation model: key technologies, applications and challenges

18 citations · 63 across the 27 of their papers we have counts for

collaborators

28 papers

cs.MA2026

RideSkill: A Hierarchical Algorithm for Generalized Ride Sharing with LLM-Driven Automatic Evolution

Zijian Zhao, Sen Li, Xialiang Tong +1

Ride-sharing, which allows multiple passengers with different origin-destination (OD) pairs to share a single vehicle, is a challenging operational problem, as it requires orders w…

cs.CL2026

Optimizing Denoising Trajectories in dLLMs: A Lightweight Evolutionary Heuristic Approach

Zijian Zhao, Dian Jin, Xialiang Tong +2

Diffusion Large Language Models (dLLMs) have recently emerged as a promising alternative to conventional Auto-Regressive (AR) Large Language Models (LLMs). By leveraging bidirectio…

cs.LG2026

Low-Interaction-Rank Learning: Unifying Multiplicative Dual-Encoder Heads

Zijian Zhao, Sen Li

A multiplicative dual-encoder network computes a real-valued output for a pair of inputs as the inner product of their separate encodings. This architecture has been developed inde…

cs.LG2026

Is Per-Agent Policy Composition Safe? Rethinking Successor-Feature Transfer in Cooperative Multi-Agent Reinforcement Learning

Zijian Zhao, Sen Li

Many reinforcement learning systems, from fleet management to traffic signal control, must serve an objective that changes dynamically after deployment, and retraining a policy for…

cs.MA2026

Aggregate in the Advantage, Not the Ratio: A Canonical-Form Analysis of Cooperative Multi-Agent Policy Optimization

Zijian Zhao, Sen Li

Multi-agent policy optimization, exemplified by PPO-based methods, is a key branch of cooperative Multi-Agent Reinforcement Learning (MARL). A central design question is how many n…

cs.MA2026

RideGym: A Standardized Interface for Real-World Large-Scale Ride-Sharing System

Zijian Zhao, Yulong Hu, Sen Li

Ride-sharing has become an essential component of modern urban transportation and has attracted significant attention across computer science, transportation, and management scienc…

cs.MM2026

Stage Light is Sequence: Multi-Light Control via Imitation Learning

Zijian Zhao, Dian Jin, Zijing Zhou +1

Music-inspired Automatic Stage Lighting Control (ASLC) has gained increasing attention in recent years due to the substantial time and financial costs associated with hiring and tr…

cs.LG2026

Bridging MARL to SARL: An Order-Independent Multi-Agent Transformer via Latent Consensus

Zijian Zhao, Jing Gao, Sen Li

Cooperative multi-agent reinforcement learning (MARL) is widely used to address large joint observation and action spaces by decomposing a centralized control problem into multiple…

cs.LG2026

Pushing the Boundaries of Natural Reasoning: Interleaved Bonus from Formal-Logic Verification

Chuxue Cao, Jinluan Yang, Haoran Li +8

Large Language Models (LLMs) show remarkable capabilities, yet their stochastic next-token prediction creates logical inconsistencies and reward hacking that formal symbolic system…

cs.LG2025

AutoFed: Personalized Federated Traffic Prediction via Adaptive Prompt

Zijian Zhao, Yitong Shang, Sen Li

Accurate traffic prediction is essential for Intelligent Transportation Systems, including ride-hailing, urban road planning, and vehicle fleet management. However, due to signific…

cs.LG2025

Triple-BERT: Do We Really Need MARL for Order Dispatch on Ride-Sharing Platforms?

Zijian Zhao, Sen Li

On-demand ride-sharing platforms, such as Uber and Lyft, face the intricate real-time challenge of bundling and matching passengers-each with distinct origins and destinations-to a…

cs.SD2025

Zero-Effort Image-to-Music Generation: An Interpretable RAG-based VLM Approach

Zijian Zhao, Dian Jin, Zijing Zhou

Recently, Image-to-Music (I2M) generation has garnered significant attention, with potential applications in fields such as gaming, advertising, and multi-modal art creation. Howev…

cs.CL2025★ 1 cited

Confident RAG: Enhancing the Performance of LLMs for Mathematics Question Answering through Multi-Embedding and Confidence Scoring

Shiting Chen, Zijian Zhao, Jinsong Chen

Large Language Models (LLMs) hold significant promise for mathematics education, yet they often struggle with complex mathematical reasoning. While Retrieval-Augmented Generation (…

cs.AI2025

One Step is Enough: Multi-Agent Reinforcement Learning based on One-Step Policy Optimization for Order Dispatch on Ride-Sharing Platforms

Zijian Zhao, Sen Li

Order dispatch is a critical task in ride-sharing systems with Autonomous Vehicles (AVs), directly influencing efficiency and profits. Recently, Multi-Agent Reinforcement Learning…

cs.AI2025

Towards Advanced Mathematical Reasoning for LLMs via First-Order Logic Theorem Proving

Chuxue Cao, Mengze Li, Juntao Dai +7

Large language models (LLMs) have shown promising first-order logic (FOL) reasoning capabilities with applications in various areas. However, their effectiveness in complex mathema…

cs.LG2025

Automatic Stage Lighting Control: Is it a Rule-Driven Process or Generative Task?

Zijian Zhao, Dian Jin, Zijing Zhou +1

Stage lighting is a vital component in live music performances, shaping an engaging experience for both musicians and audiences. In recent years, Automatic Stage Lighting Control (…

eess.SP2025

A Short Overview of Multi-Modal Wi-Fi Sensing

Zijian Zhao

Wi-Fi sensing has emerged as a significant technology in wireless sensing and Integrated Sensing and Communication (ISAC), offering benefits such as low cost, high penetration, and…

cs.LG2025

Label Unbalance in High-frequency Trading

Zijian Zhao, Xuming Zhang, Jiayu Wen +2

In financial trading, return prediction is one of the foundation for a successful trading system. By the fast development of the deep learning in various areas such as graphical pr…

cs.CL2025

First Token Probability Guided RAG for Telecom Question Answering

Tingwei Chen, Jiayi Chen, Zijian Zhao +3

Large Language Models (LLMs) have garnered significant attention for their impressive general-purpose capabilities. For applications requiring intricate domain knowledge, Retrieval…

cs.LG2024★ 3 cited

CSI-BERT2: A BERT-inspired Framework for Efficient CSI Prediction and Classification in Wireless Communication and Sensing

Zijian Zhao, Fanyi Meng, Zhonghao Lyu +3

Channel state information (CSI) is a fundamental component in both wireless communication and sensing systems, enabling critical functions such as radio resource optimization and e…

cs.CV2024★ 1 cited

LoFi: Vision-Aided Label Generator for Wi-Fi Localization and Tracking

Zijian Zhao, Tingwei Chen, Fanyi Meng +4

Data-driven Wi-Fi localization and tracking have shown great promise due to their lower reliance on specialized hardware compared to model-based methods. However, most existing dat…

cs.CV2024★ 1 cited

KNN-MMD: Cross Domain Wireless Sensing via Local Distribution Alignment

Zijian Zhao, Zhijie Cai, Tingwei Chen +4

Wireless sensing has recently found widespread applications in diverse environments, including homes, offices, and public spaces. By analyzing patterns in channel state information…

cs.AI2024★ 18 cited

An overview of domain-specific foundation model: key technologies, applications and challenges

Haolong Chen, Hanzhi Chen, Zijian Zhao +6

The impressive performance of ChatGPT and other foundation-model-based products in human language understanding has prompted both academia and industry to explore how these models…

cs.CV2024★ 15 cited

CrossFi: A Cross Domain Wi-Fi Sensing Framework Based on Siamese Network

Zijian Zhao, Tingwei Chen, Zhijie Cai +4

In recent years, Wi-Fi sensing has garnered significant attention due to its numerous benefits, such as privacy protection, low cost, and penetration ability. Extensive research ha…