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Conferences
Chi Zhang
38 papers at tracked venues · 30 at CORE A* · active 2024–2026
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Venues
NeurIPS
×8
AAAI
×6
ACL
×3
CVPR
×2
ECCV
×2
ICDE
×2
ICML
×2
SIGIR
×2
VLDB
×2
CHI
×1
EACL
×1
EMNLP
×1
ICDM
×1
ICLR
×1
IJCAI
×1
MICCAI
×1
SIGKDD
×1
UAI
×1
Frequent coauthors
Chenxu Wang
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×2
Shihao Zhang
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×1
Chaoyuan Shen
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×1
Qian Chen
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Jie Zhu
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Jiancong Xie
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Yong Fang
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Zewen Yang
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Qinfan Xiao
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×1
Xiaofei Zhou
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Zhiyuan Ning
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Penglin Cai
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Papers
AOEH: An Efficient Extendable Hashing to Reduce Read/Write Amplification for Persistent Memory
ICDE 2026
·
Shihao Zhang
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BRIEF: Bi-level Coreset Selection for Efficient Instruction Tuning in LLMs
VLDB 2026
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Chaoyuan Shen
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Benchmarking Large Vision-Language Models on CFMME: A Comprehensive Chinese Financial Multimodal Evaluation Dataset
ACL 2026
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Qian Chen
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Do Images Speak Louder than Words? Investigating the Effect of Textual Misinformation in VLMs
EACL 2026
·
Chi Zhang
Evaluating, Synthesizing, and Enhancing for Customer Support Conversation
AAAI 2026
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Jie Zhu
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Informative Subgraph Extraction with Deep Reinforcement Learning for Drug-Drug Interaction Prediction
AAAI 2026
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Jiancong Xie
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STAR: Staged Training with Aligned Reinforcement Learning and Multi-Faceted Distillation for Interpretable E-commerce Relevance
SIGIR 2026
·
Chenxu Wang
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StreamShield: A Production-Proven Resiliency Solution for Apache Flink at Bytedance
ICDE 2026
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Yong Fang
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Streaming Generated Gaussian Process Experts for Online Learning and Control
AAAI 2026
·
Zewen Yang
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TRACE: Term-level Reasoning And Chain-of-thought Enhanced distillation for E-commerce Multi-modal Relevance Learning
SIGIR 2026
·
Chenxu Wang
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BrainOmni: A Brain Foundation Model for Unified EEG and MEG Signals
NeurIPS 2025
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Qinfan Xiao
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Briteller: Shining a Light on AI Recommendations for Children
CHI 2025
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Xiaofei Zhou
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CAS-Spec: Cascade Adaptive Self-Speculative Decoding for On-the-Fly Lossless Inference Acceleration of LLMs
NeurIPS 2025
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Zhiyuan Ning
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Creative Agents: Empowering Agents with Imagination for Creative Tasks
UAI 2025
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Penglin Cai
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Divide, Optimize, Merge: Scalable Fine-Grained Generative Optimization for LLM Agents
EMNLP 2025
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Jiale Liu
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DualOpt: A Dual Divide-and-Optimize Algorithm for the Large-scale Traveling Salesman Problem
AAAI 2025
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Shipei Zhou
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Efficient Pretraining Data Selection for Language Models via Multi-Actor Collaboration
ACL 2025
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Tianyi Bai
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From Weight-Based to State-Based Fine-Tuning: Further Memory Reduction on LoRA with Parallel Control
ICML 2025
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Chi Zhang
Generalized and Invariant Single-Neuron In-Vivo Activity Representation Learning
NeurIPS 2025
·
Wei Wu
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Image Regeneration: Evaluating Text-to-Image Model via Generating Identical Image with Multimodal Large Language Models
AAAI 2025
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Chutian Meng
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KINDLE: Knowledge-Guided Distillation for Prior-Free Gene Regulatory Network Inference
NeurIPS 2025
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Rui Peng
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Meta-rater: A Multi-dimensional Data Selection Method for Pre-training Language Models
ACL 2025
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Xinlin Zhuang
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Model-Free Offline Reinforcement Learning with Enhanced Robustness
ICLR 2025
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Chi Zhang
Pessimism Principle Can Be Effective: Towards a Framework for Zero-Shot Transfer Reinforcement Learning
ICML 2025
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Chi Zhang
Rethinking the Adversarial Robustness of Multi-Exit Neural Networks in an Attack-Defense Game
CVPR 2025
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Keyizhi Xu
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RoboRefer: Towards Spatial Referring with Reasoning in Vision-Language Models for Robotics
NeurIPS 2025
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Enshen Zhou
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Sim4Rec: Data-Free Model Extraction Attack on Sequential Recommendation
AAAI 2025
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Yihao Wang
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Statistical Robustness in Anomaly Detection with Hard Rejection and Adaptive Weighting
ICDM 2025
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Jungi Lee
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SynLogic: Synthesizing Verifiable Reasoning Data at Scale for Learning Logical Reasoning and Beyond
NeurIPS 2025
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Junteng Liu
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UniScene: Unified Occupancy-centric Driving Scene Generation
CVPR 2025
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Bohan Li
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VLM in a flash: I/O-Efficient Sparsification of Vision-Language Model via Neuron Chunking
NeurIPS 2025
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Kichang Yang
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Do Finetti: On Causal Effects for Exchangeable Data
NeurIPS 2024
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Siyuan Guo
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Efficient and Long-Tailed Generalization for Pre-trained Vision-Language Model
SIGKDD 2024
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Jiang-Xin Shi
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FipTR: A Simple yet Effective Transformer Framework for Future Instance Prediction in Autonomous Driving
ECCV 2024
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Xingtai Gui
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LakeBench: A Benchmark for Discovering Joinable and Unionable Tables in Data Lakes
VLDB 2024
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Yuhao Deng
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On the Foundation Model for Cardiac MRI Reconstruction
MICCAI 2024
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Chi Zhang
Ray Denoising: Depth-Aware Hard Negative Sampling for Multi-view 3D Object Detection
ECCV 2024
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Feng Liu
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Reinforcement Learning for Athletic Intelligence: Lessons from the 1st "AI Olympics with RealAIGym" Competition
IJCAI 2024
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Felix Wiebe
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