Xiang Zhang
85 papers · 2015–2026 · 18 venues · across top CS/AI venues
This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 35 separate collaboration groups - the largest holds only 16% of them. Pick the group below that matches the researcher you mean. How a shared name is split.
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Which Xiang Zhang?
14 groups of papers that share co-authors internally but none with each other - each most likely a different researcher. Pick one to see its papers.
with Wei Cheng, Haifeng Chen, Dongkuan Xu
14 papers
· 2019–2026
· AAAI, NeurIPS, EACL
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Decoding Time Series with LLMs: A Multi-Agent Framework for Cross-Domain Annotation
EACL 2026
Image Corruption-Inspired Membership Inference Attacks against Large Vision-Language Models
EACL 2026
On the Effect of Sampling Diversity in Scaling LLM Inference
UAI 2026
Humanizing the Machine: Proxy Attacks to Mislead LLM Detectors
ICLR 2025
Universal Prompt Optimizer for Safe Text-to-Image Generation
NAACL 2024
Certifiably Robust Graph Contrastive Learning
NeurIPS 2023
GC-Flow: A Graph-Based Flow Network for Effective Clustering
ICML 2023
Time Series Contrastive Learning with Information-Aware Augmentations
AAAI 2023
InfoGCL: Information-Aware Graph Contrastive Learning
NeurIPS 2021
Multi-Task Recurrent Modular Networks
AAAI 2021
Transformer-Style Relational Reasoning with Dynamic Memory Updating for Temporal Network Modeling
AAAI 2021
Parameterized Explainer for Graph Neural Network
NeurIPS 2020
Tensorized LSTM with Adaptive Shared Memory for Learning Trends in Multivariate Time Series
AAAI 2020
Spatio-Temporal Attentive RNN for Node Classification in Temporal Attributed Graphs
IJCAI 2019
21 papers whose co-authors appear nowhere else under this name
L2-LoRA: Improving Low-Rank Adaptation with Layer-Specific Regularization
AAAI 2026
Wi-CBR: Salient-aware Adaptive WiFi Sensing for Cross-domain Behavior Recognition
AAAI 2026
L3A: Label-Augmented Analytic Adaptation for Multi-Label Class Incremental Learning
ICML 2025
NesTools: A Dataset for Evaluating Nested Tool Learning Abilities of Large Language Models
COLING 2025
Stephanie: Step-by-Step Dialogues for Mimicking Human Interactions in Social Conversations
NAACL 2025
Takin-VC: Expressive Zero-Shot Voice Conversion via Adaptive Hybrid Content Encoding and Enhanced Timbre Modeling
ACL 2025
Towards Accurate Unified Anomaly Segmentation
WACV 2025
Transtreaming: Adaptive Delay-aware Transformer for Real-time Streaming Perception
AAAI 2025
VertexRegen: Mesh Generation with Continuous Level of Detail
ICCV 2025
Can LLMs substitute SQL? Comparing Resource Utilization of Querying LLMs versus Traditional Relational Databases
ACL 2024
HiT-SR: Hierarchical Transformer for Efficient Image Super-Resolution
ECCV 2024
Interpret ESG Rating’s Impact on the Industrial Chain Using Graph Neural Networks
IJCAI 2023
A Character-Level Length-Control Algorithm for Non-Autoregressive Sentence Summarization
NeurIPS 2022
EGCN: An Ensemble-based Learning Framework for Exploring Effective Skeleton-based Rehabilitation Exercise Assessment
IJCAI 2022
Few-shot Task-agnostic Neural Architecture Search for Distilling Large Language Models
NeurIPS 2022
BoW Pooling: A Plug-and-Play Unit for Feature Aggregation of Point Clouds
AAAI 2021
Exploiting Coarse-to-Fine Task Transfer for Aspect-Level Sentiment Classification
AAAI 2019
Multi-modality Sensor Data Classification with Selective Attention
IJCAI 2018
Learning to Predict Charges for Criminal Cases with Legal Basis
EMNLP 2017
A Consistent Information Criterion for Support Vector Machines in Diverging Model Spaces
JMLR 2016
Character-level Convolutional Networks for Text Classification
NeurIPS 2015