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Xiangxiang Chu

36 papers · 2020–2026 · 10 conferences · across top CS/AI conferences

Achievements

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+10 more ↓ πŸŒ‰ Interdisciplinary Bridge πŸƒ Academic Marathon (5) 🌈 Renaissance Researcher (6) 🌍 Conference Polyglot (9) πŸ—ΊοΈ Taxonomy Completionist (61)
πŸ—ΊοΈ Taxonomy Completionist (61) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🀝 Dynamic Duo (12) πŸ† Grand Slam 🧬 Topic Evolution ⚑ Prolific Year (7) πŸ—ƒοΈ Keyword Collector (139) πŸ’Ž Century Club (28) πŸ”₯ Unstoppable (6)

Conferences

AAAI (7) ICCV (7) ACL (4) CVPR (4) ECCV (4) ICLR (3) NIPS (3) EMNLP (2) ICML (1) INTERSPEECH (1)

Papers

Omni-Effects: Unified and Spatially-Controllable Visual Effects Generation AAAI 2026 Breaking Block Boundaries: Anchor-based History-stable Decoding for Diffusion Large Language Models ACL 2026 L2Dir: Integrating L_2-Norm and Directional Alignment for Unsupervised Contrastive Representation Learning in Multimodal Retrieval ACL 2026 Visually-Guided Policy Optimization for Multimodal Reasoning ACL 2026 AdaCuRL: Adaptive Curriculum Reinforcement Learning with Invalid Sample Mitigation and Historical Revisiting AAAI 2026 SCALAR: Scale-wise Controllable Visual Autoregressive Learning AAAI 2026 CoEvolve: Training LLM Agents via Agent-Data Mutual Evolution ACL 2026 ImagerySearch: Adaptive Test-Time Search for Video Generation Beyond Semantic Dependency Constraints AAAI 2026 VMBench: A Benchmark for Perception-Aligned Video Motion Generation ICCV 2025 Towards Efficient Foundation Model for Zero-shot Amodal Segmentation CVPR 2025 USP: Unified Self-Supervised Pretraining for Image Generation and Understanding ICCV 2025 UPRE: Zero-Shot Domain Adaptation for Object Detection via Unified Prompt and Representation Enhancement ICCV 2025 POSITION BIAS MITIGATES POSITION BIAS: Mitigate Position Bias Through Inter-Position Knowledge Distillation EMNLP 2025 HS-STaR: Hierarchical Sampling for Self-Taught Reasoners via Difficulty Estimation and Budget Reallocation EMNLP 2025 LD-RPS: Zero-Shot Unified Image Restoration via Latent Diffusion Recurrent Posterior Sampling ICCV 2025 PeLK: Parameter-efficient Large Kernel ConvNets with Peripheral Convolution CVPR 2024 SCTNet: Single-Branch CNN with Transformer Semantic Information for Real-Time Segmentation AAAI 2024 LiDAR-PTQ: Post-Training Quantization for Point Cloud 3D Object Detection ICLR 2024 Revealing the Dark Secrets of Extremely Large Kernel ConvNets on Robustness ICML 2024 Make RepVGG Greater Again: A Quantization-Aware Approach AAAI 2024 VisionLLaMA: A Unified LLaMA Backbone for Vision Tasks ECCV 2024 Dyn-Adapter: Towards Disentangled Representation for Efficient Visual Recognition ECCV 2024 Norm Tweaking: High-Performance Low-Bit Quantization of Large Language Models AAAI 2024 MixPath: A Unified Approach for One-shot Neural Architecture Search ICCV 2023 AeDet: Azimuth-Invariant Multi-View 3D Object Detection CVPR 2023 ROME: Robustifying Memory-Efficient NAS via Topology Disentanglement and Gradient Accumulation ICCV 2023 Conditional Positional Encodings for Vision Transformers ICLR 2023 SegViT: Semantic Segmentation with Plain Vision Transformers NIPS 2022 PromptDet: Towards Open-Vocabulary Detection Using Uncurated Images ECCV 2022 Modeling Motion With Multi-Modal Features for Text-Based Video Segmentation CVPR 2022 Fully Convolutional One-Stage 3D Object Detection on LiDAR Range Images NIPS 2022 DARTS-: Robustly Stepping out of Performance Collapse Without Indicators ICLR 2021 Twins: Revisiting the Design of Spatial Attention in Vision Transformers NIPS 2021 FairNAS: Rethinking Evaluation Fairness of Weight Sharing Neural Architecture Search ICCV 2021 Neural Architecture Search on Acoustic Scene Classification INTERSPEECH 2020 Fair DARTS: Eliminating Unfair Advantages in Differentiable Architecture Search ECCV 2020