activity
20172026
most citedSpeechFormer++: A Hierarchical Efficient Framework for Paralinguistic Speech Processing

90 citations · 282 across the 39 of their papers we have counts for

collaborators

44 papers

cs.LG2026

FragFlex: Fragment-Based Flexible Molecular Generation for Exploring Vast Chemical Space

Sihyun Park, David Ryan Koes

Drug discovery requires efficient exploration of an astronomically large chemical space. Molecular graph diffusion models offer a promising approach to this task, but many require…

cs.MA2026

FinNextAssist: Towards Professional Financial Deep Research Assistant

Xiangyu Li, Fengbin Zhu, Xuan Yao +9

Deep Research (DR) agents have demonstrated strong capabilities in complex, research-oriented tasks through autonomous planning, iterative retrieval, multi-step reasoning, and stru…

cs.IR2026

Beyond Similarity through Zero-Token Geometric Graphs for Multi-Hop RAG

Zeliang Li, Xiaofen Xing, Kailing Guo +1

Multi-hop retrieval-augmented generation (RAG) requires evidence that remains relevant to a query while introducing enough novelty to bridge semantic gaps. Dense retrieval tends to…

cs.SD2026

MAGIC-TTS: Fine-Grained Controllable Speech Synthesis with Explicit Local Duration and Pause Control

Jialong Mai, Xiaofen Xing, Xiangmin Xu

Fine-grained local timing control is still absent from modern text-to-speech systems: existing approaches typically provide only utterance-level duration or global speaking-rate co…

cs.CL2026

MERRY: Semantically Decoupled Evaluation of Multimodal Emotional and Role Consistencies of Role-Playing Agents

Zhenyu Wang, Xiaofen Xing, Yirong Chen +1

Multimodal Role-Playing Agents (MRPAs) are attracting increasing attention due to their ability to deliver more immersive multimodal emotional interactions. However, existing studi…

cs.MA2026

FinDeepForecast: A Live Multi-Agent System for Benchmarking Deep Research Agents in Financial Forecasting

Xiangyu Li, Xuan Yao, Guohao Qi +16

Deep Research (DR) Agents powered by advanced Large Language Models (LLMs) have fundamentally shifted the paradigm for completing complex research tasks. Yet, a comprehensive and l…