71 results on '"Zihan ZHANG"'
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2. Compressing Scene Dynamics: A Generative Approach.
3. A Holistic Weakly Supervised Approach for Liver Tumor Segmentation with Clinical Knowledge-Informed Label Smoothing.
4. MedINST: Meta Dataset of Biomedical Instructions.
5. DualSep: A Light-weight dual-encoder convolutional recurrent network for real-time in-car speech separation.
6. Distil-DCCRN: A Small-footprint DCCRN Leveraging Feature-based Knowledge Distillation in Speech Enhancement.
7. Explicit Folded Reed-Solomon and Multiplicity Codes Achieve Relaxed Generalized Singleton Bound.
8. E5-V: Universal Embeddings with Multimodal Large Language Models.
9. Random Reed-Solomon Codes Achieve the Half-Singleton Bound for Insertions and Deletions over Linear-Sized Alphabets.
10. ResLoRA: Identity Residual Mapping in Low-Rank Adaption.
11. AI WALKUP: A Computer-Vision Approach to Quantifying MDS-UPDRS in Parkinson's Disease.
12. Horizon-Free Regret for Linear Markov Decision Processes.
13. We Choose to Go to Space: Agent-driven Human and Multi-Robot Collaboration in Microgravity.
14. Random Gabidulin Codes Achieve List Decoding Capacity in the Rank Metric.
15. Text Diffusion with Reinforced Conditioning.
16. HD-Eval: Aligning Large Language Model Evaluators Through Hierarchical Criteria Decomposition.
17. Enhancing the General Agent Capabilities of Low-Parameter LLMs through Tuning and Multi-Branch Reasoning.
18. MoRA: High-Rank Updating for Parameter-Efficient Fine-Tuning.
19. Achieving Tractable Minimax Optimal Regret in Average Reward MDPs.
20. RetrievalQA: Assessing Adaptive Retrieval-Augmented Generation for Short-form Open-Domain Question Answering.
21. Improving Domain Adaptation through Extended-Text Reading Comprehension.
22. BS-PLCNet: Band-split Packet Loss Concealment Network with Multi-task Learning Framework and Multi-discriminators.
23. ASI++: Towards Distributionally Balanced End-to-End Generative Retrieval.
24. PipeLearn: Pipeline Parallelism for Collaborative Machine Learning.
25. Pre-training Language Model as a Multi-perspective Course Learner.
26. Optimal Multi-Distribution Learning.
27. Randomly Punctured Reed-Solomon Codes Achieve the List Decoding Capacity over Polynomial-Size Alphabets.
28. Sharp Variance-Dependent Bounds in Reinforcement Learning: Best of Both Worlds in Stochastic and Deterministic Environments.
29. Dual-Alignment Pre-training for Cross-lingual Sentence Embedding.
30. Turn-Level Active Learning for Dialogue State Tracking.
31. Two-stage Neural Network for ICASSP 2023 Speech Signal Improvement Challenge.
32. Sharper Model-free Reinforcement Learning for Average-reward Markov Decision Processes.
33. How Do Large Language Models Capture the Ever-changing World Knowledge? A Review of Recent Advances.
34. AG codes achieve list decoding capacity over contant-sized fields.
35. Calibrating LLM-Based Evaluator.
36. Settling the Sample Complexity of Online Reinforcement Learning.
37. An Exploration of Task-decoupling on Two-stage Neural Post Filter for Real-time Personalized Acoustic Echo Cancellation.
38. OSM vs HD Maps: Map Representations for Trajectory Prediction.
39. Democratizing Reasoning Ability: Tailored Learning from Large Language Model.
40. Classification with Deep Neural Networks and Logistic Loss.
41. Open Visual Knowledge Extraction via Relation-Oriented Multimodality Model Prompting.
42. Sampling Proper Colorings on Line Graphs Using (1+o(1))Δ Colors.
43. CITB: A Benchmark for Continual Instruction Tuning.
44. Auto Search Indexer for End-to-End Document Retrieval.
45. TEDi: Temporally-Entangled Diffusion for Long-Term Motion Synthesis.
46. RoChBert: Towards Robust BERT Fine-tuning for Chinese.
47. Horizon-Free Reinforcement Learning in Polynomial Time: the Power of Stationary Policies.
48. Near-Optimal Regret Bounds for Multi-batch Reinforcement Learning.
49. PromptBERT: Improving BERT Sentence Embeddings with Prompts.
50. Is Neural Topic Modelling Better than Clustering? An Empirical Study on Clustering with Contextual Embeddings for Topics.
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