activity
20242026
most citedWebANNS: Fast and Efficient Approximate Nearest Neighbor Search in Web Browsers

4 citations · 5 across the 13 of their papers we have counts for

collaborators

14 papers

cs.CV2026

MMSearch-OPD: Easy Made Hard, Hard Made Learnable for Long-Horizon Multimodal Search Agents

Huanyao Zhang, Jiepeng Zhou, Jiaye Lin +9

Multimodal deep search is moving from short queries to long-horizon investigations that continually acquire evidence. However, training such agents remains constrained by limited c…

cs.AI2026

Beyond Static Endpoints: Tool Programs as an Interface for Flexible Agentic Web Services

Mugeng Liu, Shuoqi Li, Yixuan Zhang +1

In the agentic web era, LLM-based agents increasingly invoke web services as tools, yet most interfaces remain \emph{static endpoints} that poorly express long-horizon workflows wi…

cs.AI2026

SGR-Bench: Benchmarking Search Agents on State-Gated Retrieval

Ningyuan Li, Haiyang Shen, Mugeng Liu +4

Recent advances in large language models and tool-using agents have expanded the range of benchmarked web tasks. Yet an important class of specialized retrieval tasks remains under…

cs.AI2026

Teaching AI Through Benchmark Construction: QuestBench as a Course-Based Practice for Accountable Knowledge Work

Haiyang Shen, Jiuzheng Wang, Taian Guo +9

As AI becomes part of everyday learning, many courses teach students to use it mainly as a productivity tool: how to prompt, search, summarize, write, code, and use tools more effi…

cs.AI2026

MindLoom: Composing Thought Modes for Frontier-Level Reasoning Data Synthesis

Haiyang Shen, Taian Guo, Xuanzhong Chen +11

Although LLMs have made substantial progress in reasoning, systematically producing frontier-level reasoning data remains difficult. Existing synthesis methods often have limited v…

cs.AI2026

DeepWeb-Bench: A Deep Research Benchmark Demanding Massive Cross-Source Evidence and Long-Horizon Derivation

Sixiong Xie, Zhuofan Shi, Haiyang Shen +8

Deep research, in which an agent searches the open web, collects evidence, and derives an answer through extended reasoning, is a prominent use case for frontier language models. F…

cs.AI2025

SheetDesigner: MLLM-Powered Spreadsheet Layout Generation with Rule-Based and Vision-Based Reflection

Qin Chen, Yuanyi Ren, Xiaojun Ma +3

Spreadsheets are critical to data-centric tasks, with rich, structured layouts that enable efficient information transmission. Given the time and expertise required for manual spre…

cs.SE2025

From Task to Tutorial: An Automated GUI Framework for Excel Tutorial Document and Video Creation

Yuhang Xie, Jian Mu, Xiaojun Ma +9

Excel is one of the most widely used productivity tools across domains, offering rich functionality but also overwhelming users with its complexity. This creates a persistent deman…

cs.AI2025

Rethinking Explainable Disease Prediction: Synergizing Accuracy and Reliability via Reflective Cognitive Architecture

Zijian Shao, Haiyang Shen, Mugeng Liu +4

In clinical decision-making, predictive models face a persistent trade-off: accurate models are often opaque "black boxes," while interpretable methods frequently lack predictive p…

cs.IR2025★ 4 cited

WebANNS: Fast and Efficient Approximate Nearest Neighbor Search in Web Browsers

Mugeng Liu, Siqi Zhong, Qi Yang +3

Approximate nearest neighbor search (ANNS) has become vital to modern AI infrastructure, particularly in retrieval-augmented generation (RAG) applications. Numerous in-browser ANNS…

cs.SE2025

A First Look at Bugs in LLM Inference Engines

Mugeng Liu, Siqi Zhong, Weichen Bi +5

Large language model-specific inference engines (in short as \emph{LLM inference engines}) have become a fundamental component of modern AI infrastructure, enabling the deployment…

cs.AI2025

DRAGON: Domain-specific Robust Automatic Data Generation for RAG Optimization

Haiyang Shen, Hang Yan, Zhongshi Xing +6

Retrieval-augmented generation (RAG) can substantially enhance the performance of LLMs on knowledge-intensive tasks. Various RAG paradigms - including vanilla, planning-based, and…

cs.SE2024

Research Artifacts in Software Engineering Publications: Status and Trends

Mugeng Liu, Xiaolong Huang, Wei He +5

The Software Engineering (SE) community has been embracing the open science policy and encouraging researchers to disclose artifacts in their publications. However, the status and…

cs.SE2024★ 1 cited

Research on WebAssembly Runtimes: A Survey

Yixuan Zhang, Mugeng Liu, Haoyu Wang +3

WebAssembly (abbreviated as Wasm) was initially introduced for the Web but quickly extended its reach into various domains beyond the Web. To create Wasm applications, developers c…